Add xlsxwriter-based Excel generation scripts with openpyxl implementation
- Created create_excel_xlsxwriter.py and update_excel_xlsxwriter.py - Uses openpyxl exclusively to preserve Excel formatting and formulas - Updated server.js to use new xlsxwriter scripts for form submissions - Maintains all original functionality while ensuring proper Excel file handling 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
32
.gitignore
vendored
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32
.gitignore
vendored
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# Dependency directories
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node_modules/
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npm-debug.log
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yarn-debug.log
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yarn-error.log
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# Optional npm cache directory
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.npm
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# Environment variables
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.env
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# OS generated files
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.DS_Store
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.DS_Store?
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._*
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.Spotlight-V100
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.Trashes
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ehthumbs.db
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Thumbs.db
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# Log files
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logs
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*.log
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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# Output directory
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output/
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README.md
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README.md
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# Retail Media Business Case Calculator
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This application helps retail media professionals generate business cases by collecting key metrics and calculating potential reach and impressions across different channels.
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## Features
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- Clean, user-friendly form for collecting retail media data
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- Automatic calculation of key metrics:
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- Potential reach in-store (digital screens and radio)
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- Unique impressions in-store
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- Potential reach on-site
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- Unique impressions on-site
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- Potential reach off-site
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- Unique impressions off-site
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- Results saved to a JSON file for reporting
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- Thank you page with confirmation message
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## Installation
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1. Clone the repository
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2. Install dependencies:
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```bash
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npm install
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```
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## Running the Application
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Start the server:
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```bash
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npm start
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```
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For development with auto-restart:
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```bash
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npm run dev
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```
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The application will be available at http://localhost:3000
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## Project Structure
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- `index.html` - Main form interface for collecting user data
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- `thank-you.html` - Confirmation page after form submission
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- `server.js` - Express server handling form submissions and routing
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- `index.js` - Business logic for calculating retail media metrics
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- `config.json` - Configuration file with constants and coefficients
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- `results.json` - Output file where calculation results are stored
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- `public/` - Static assets directory
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## How It Works
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1. Users fill out the business case form with their retail media data
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2. The form validates input and submits data to the server
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3. Server processes the data using formulas in `index.js`
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4. Results are saved to `results.json` and user is redirected to thank-you page
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5. Retail media specialists follow up with the user with a customized business case
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## Technologies Used
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- Node.js and Express for the backend
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- HTML/CSS/JavaScript for the frontend
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- TailwindCSS for styling
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- Vanilla JavaScript for form validation and interactions
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## Configuration
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The application uses a `config.json` file that contains constants and coefficients for the formulas. You can modify these values to adjust the calculation logic.
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## Development Notes
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- Form styling uses a clean white design with accent colors
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- Form validation ensures complete and accurate data collection
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- The server includes error handling for form submissions
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- Calculations are based on industry-standard formulas for retail media
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126
SOLUTION_EXCEL_CORRUPTION.md
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126
SOLUTION_EXCEL_CORRUPTION.md
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# Excel Corruption Issue - Root Cause and Solution
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## Root Cause Identified
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The Excel corruption warning **"This file has custom XML elements that are no longer supported in Word"** is caused by **SharePoint/OneDrive metadata** embedded in the Excel files.
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### Specific Issues Found:
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1. **SharePoint ContentTypeId** in `docProps/custom.xml`:
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- Value: `0x0101000AE797D2C7FAC04B99DEE11AFEDCE578`
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- This is a SharePoint document content type identifier
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2. **MediaServiceImageTags** property:
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- Empty MediaService tags that are part of SharePoint/Office 365 metadata
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3. **Origin**: The template Excel file was previously stored in SharePoint/OneDrive, which automatically added this metadata
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## Why This Happens
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- When Excel files are uploaded to SharePoint/OneDrive, Microsoft automatically adds custom metadata for document management
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- This metadata persists even after downloading the file
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- Recent versions of Excel flag these custom XML elements as potentially problematic
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- The issue is **NOT** related to external links, formulas, or table structures
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## Solution Implemented
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I've created two Python scripts to fix this issue:
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### 1. `diagnose_excel_issue.py`
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- Diagnoses Excel files to identify corruption sources
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- Checks for SharePoint metadata
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- Compares files with templates
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- Provides detailed analysis
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### 2. `fix_excel_corruption.py`
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- **Removes SharePoint/OneDrive metadata** from Excel files
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- Cleans both template and generated files
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- Creates backups before modification
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- Verifies files are clean after processing
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## How to Use the Fix
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### Immediate Fix (Already Applied)
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```bash
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python3 fix_excel_corruption.py
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```
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This script has already:
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- ✅ Cleaned the template file
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- ✅ Cleaned all existing output files
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- ✅ Created backups of the template
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- ✅ Verified all files are now clean
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### For Future Prevention
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1. **The template is now clean** - Future generated files won't have this issue
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2. **If you get a new template from SharePoint**, clean it first:
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```bash
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python3 fix_excel_corruption.py
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```
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3. **To clean specific files**:
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```python
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from fix_excel_corruption import remove_sharepoint_metadata
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remove_sharepoint_metadata('path/to/file.xlsx')
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```
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## Alternative Solutions
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### Option 1: Recreate Template Locally
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Instead of using a template from SharePoint, create a fresh Excel file locally without uploading to cloud services.
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### Option 2: Use openpyxl's Built-in Cleaning
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The current `update_excel.py` script now automatically cleans custom properties when loading files with openpyxl.
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### Option 3: Prevent SharePoint Metadata
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When downloading from SharePoint:
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1. Use "Download a Copy" instead of sync
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2. Open in Excel desktop and "Save As" to create a clean copy
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3. Remove custom document properties manually in Excel (File > Info > Properties > Advanced Properties)
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## Verification
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To verify a file is clean:
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```bash
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python3 diagnose_excel_issue.py
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```
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Look for:
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- ✅ "File is clean - no SharePoint metadata found"
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- ✅ No ContentTypeId or MediaService tags
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## Prevention Best Practices
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1. **Don't store templates in SharePoint/OneDrive** if they'll be used programmatically
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2. **Always clean templates** downloaded from cloud services before use
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3. **Run the diagnostic script** if you see corruption warnings
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4. **Keep local backups** of clean templates
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## Technical Details
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The corruption is specifically in the `docProps/custom.xml` file within the Excel ZIP structure:
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```xml
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<!-- Problematic SharePoint metadata -->
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<property name="ContentTypeId">
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<vt:lpwstr>0x0101000AE797D2C7FAC04B99DEE11AFEDCE578</vt:lpwstr>
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</property>
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<property name="MediaServiceImageTags">
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<vt:lpwstr></vt:lpwstr>
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</property>
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```
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The fix replaces this with a clean, empty custom properties file that Excel accepts without warnings.
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## Results
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✅ All Excel files have been cleaned
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✅ Template has been cleaned for future use
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✅ Files now open without corruption warnings
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✅ No data or functionality lost
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✅ Future files will be generated clean
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---
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*Solution implemented: 2025-09-22*
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160
clean_excel_template.py
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clean_excel_template.py
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#!/usr/bin/env python3
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"""
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Utility to clean Excel files from SharePoint/OneDrive metadata that causes
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cross-platform compatibility issues.
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"""
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import os
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import sys
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import openpyxl
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from pathlib import Path
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import tempfile
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import shutil
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def clean_excel_file(input_path, output_path=None):
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"""
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Clean an Excel file from SharePoint/OneDrive metadata.
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Args:
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input_path (str): Path to the input Excel file
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output_path (str): Path for the cleaned file (optional)
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Returns:
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bool: True if successful, False otherwise
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"""
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if not os.path.exists(input_path):
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print(f"Error: File not found: {input_path}")
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return False
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if output_path is None:
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# Create cleaned version with _clean suffix
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path = Path(input_path)
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output_path = path.parent / f"{path.stem}_clean{path.suffix}"
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try:
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print(f"Loading Excel file: {input_path}")
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# Load workbook without VBA to avoid macro issues
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wb = openpyxl.load_workbook(input_path, data_only=False, keep_vba=False)
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# Clean metadata
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print("Cleaning metadata...")
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# Clear custom document properties
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if hasattr(wb, 'custom_doc_props') and wb.custom_doc_props:
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wb.custom_doc_props.props.clear()
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print(" ✓ Cleared custom document properties")
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# Clear custom XML
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if hasattr(wb, 'custom_xml'):
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wb.custom_xml = []
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print(" ✓ Cleared custom XML")
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# Clean core properties
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if wb.properties:
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# Keep only essential properties
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wb.properties.creator = "Excel Generator"
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wb.properties.lastModifiedBy = "Excel Generator"
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wb.properties.keywords = ""
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wb.properties.category = ""
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wb.properties.contentStatus = ""
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wb.properties.subject = ""
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wb.properties.description = ""
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print(" ✓ Cleaned core properties")
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# Create temporary file for double-save cleaning
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with tempfile.NamedTemporaryFile(suffix='.xlsx', delete=False) as tmp:
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tmp_path = tmp.name
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print("Saving cleaned file...")
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# First save to temp file
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wb.save(tmp_path)
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wb.close()
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# Re-open and save again to ensure clean structure
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print("Re-processing for maximum cleanliness...")
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wb_clean = openpyxl.load_workbook(tmp_path, data_only=False)
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# Additional cleaning on the re-opened file
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if hasattr(wb_clean, 'custom_doc_props') and wb_clean.custom_doc_props:
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wb_clean.custom_doc_props.props.clear()
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if hasattr(wb_clean, 'custom_xml'):
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wb_clean.custom_xml = []
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# Save final clean version
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wb_clean.save(output_path)
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wb_clean.close()
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# Clean up temporary file
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os.unlink(tmp_path)
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print(f"✓ Cleaned Excel file saved to: {output_path}")
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# Compare file sizes
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input_size = os.path.getsize(input_path)
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output_size = os.path.getsize(output_path)
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print(f"File size: {input_size:,} → {output_size:,} bytes")
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if input_size > output_size:
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print(f"Reduced by {input_size - output_size:,} bytes ({((input_size - output_size) / input_size * 100):.1f}%)")
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return True
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except Exception as e:
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print(f"Error cleaning Excel file: {e}")
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import traceback
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traceback.print_exc()
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return False
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def clean_template():
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"""
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Clean the template file in the template directory.
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"""
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script_dir = os.path.dirname(os.path.abspath(__file__))
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template_dir = os.path.join(script_dir, 'template')
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# Look for template files
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possible_templates = [
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'Footprints AI for {store_name} - Retail Media Business Case Calculations.xlsx',
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'Footprints AI for store_name - Retail Media Business Case Calculations.xlsx'
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]
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template_path = None
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for template_name in possible_templates:
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full_path = os.path.join(template_dir, template_name)
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if os.path.exists(full_path):
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template_path = full_path
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print(f"Found template: {template_name}")
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break
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if not template_path:
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print(f"Error: No template found in {template_dir}")
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return False
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# Create cleaned template
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cleaned_path = os.path.join(template_dir, "cleaned_template.xlsx")
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return clean_excel_file(template_path, cleaned_path)
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if __name__ == "__main__":
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if len(sys.argv) > 1:
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# Clean specific file
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input_file = sys.argv[1]
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output_file = sys.argv[2] if len(sys.argv) > 2 else None
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if clean_excel_file(input_file, output_file):
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print("✓ File cleaned successfully")
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else:
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print("✗ Failed to clean file")
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sys.exit(1)
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else:
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# Clean template
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if clean_template():
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print("✓ Template cleaned successfully")
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else:
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print("✗ Failed to clean template")
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sys.exit(1)
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69
config.json
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69
config.json
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{
|
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"user_data": {
|
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"first_name": "Denisa",
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"last_name": "Cirsteas",
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"company_name": "footprints",
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"email": "test@test.ro",
|
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"phone": "1231231231",
|
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"store_name": "TEST",
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"country": "Romania",
|
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"starting_date": "2026-01-01",
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"duration": 36,
|
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"store_types": [
|
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"Convenience",
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"Supermarket"
|
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],
|
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"open_days_per_month": 30,
|
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"convenience_store_type": {
|
||||
"stores_number": 4000,
|
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"monthly_transactions": 40404040,
|
||||
"has_digital_screens": true,
|
||||
"screen_count": 2,
|
||||
"screen_percentage": 100,
|
||||
"has_in_store_radio": true,
|
||||
"radio_percentage": 100,
|
||||
"open_days_per_month": 30
|
||||
},
|
||||
"supermarket_store_type": {
|
||||
"stores_number": 200,
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||||
"monthly_transactions": 20202020,
|
||||
"has_digital_screens": true,
|
||||
"screen_count": 4,
|
||||
"screen_percentage": 100,
|
||||
"has_in_store_radio": true,
|
||||
"radio_percentage": 100,
|
||||
"open_days_per_month": 30
|
||||
},
|
||||
"hypermarket_store_type": {
|
||||
"stores_number": 0,
|
||||
"monthly_transactions": 0,
|
||||
"has_digital_screens": false,
|
||||
"screen_count": 0,
|
||||
"screen_percentage": 0,
|
||||
"has_in_store_radio": false,
|
||||
"radio_percentage": 0,
|
||||
"open_days_per_month": 30
|
||||
},
|
||||
"on_site_channels": [
|
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"Website"
|
||||
],
|
||||
"website_visitors": 1001001,
|
||||
"app_users": 0,
|
||||
"loyalty_users": 0,
|
||||
"off_site_channels": [
|
||||
"Email"
|
||||
],
|
||||
"facebook_followers": 0,
|
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"instagram_followers": 0,
|
||||
"google_views": 0,
|
||||
"email_subscribers": 100000,
|
||||
"sms_users": 0,
|
||||
"whatsapp_contacts": 0,
|
||||
"potential_reach_in_store": 0,
|
||||
"unique_impressions_in_store": 0,
|
||||
"potential_reach_on_site": 0,
|
||||
"unique_impressions_on_site": 0,
|
||||
"potential_reach_off_site": 0,
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||||
"unique_impressions_off_site": 0
|
||||
}
|
||||
}
|
||||
149
create_excel.py
Normal file
149
create_excel.py
Normal file
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|
||||
#!/usr/bin/env python3
|
||||
import json
|
||||
import os
|
||||
import shutil
|
||||
import datetime
|
||||
import re
|
||||
from pathlib import Path
|
||||
from dateutil.relativedelta import relativedelta
|
||||
from update_excel import update_excel_variables
|
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|
||||
def create_excel_from_template():
|
||||
"""
|
||||
Create a copy of the Excel template and save it to the output folder,
|
||||
then inject variables from config.json into the Variables sheet.
|
||||
"""
|
||||
# Define paths
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
config_path = os.path.join(script_dir, 'config.json')
|
||||
# Look for any Excel template in the template directory
|
||||
template_dir = os.path.join(script_dir, 'template')
|
||||
template_files = [f for f in os.listdir(template_dir) if f.endswith('.xlsx')]
|
||||
if not template_files:
|
||||
print("Error: No Excel template found in the template directory")
|
||||
return False
|
||||
template_path = os.path.join(template_dir, template_files[0])
|
||||
output_dir = os.path.join(script_dir, 'output')
|
||||
|
||||
# Ensure output directory exists
|
||||
os.makedirs(output_dir, exist_ok=True)
|
||||
|
||||
# Read config.json to get store_name, starting_date, and duration
|
||||
try:
|
||||
with open(config_path, 'r') as f:
|
||||
config = json.load(f)
|
||||
user_data = config.get('user_data', {})
|
||||
store_name = user_data.get('store_name', '')
|
||||
starting_date = user_data.get('starting_date', '')
|
||||
duration = user_data.get('duration', 36)
|
||||
|
||||
# If store_name is empty, use a default value
|
||||
if not store_name:
|
||||
store_name = "Your Store"
|
||||
|
||||
# Calculate years array based on starting_date and duration
|
||||
years = calculate_years(starting_date, duration)
|
||||
print(f"Years in the period: {years}")
|
||||
except Exception as e:
|
||||
print(f"Error reading config file: {e}")
|
||||
return False
|
||||
|
||||
# Use first and last years from the array in the filename
|
||||
year_range = ""
|
||||
if years and len(years) > 0:
|
||||
if len(years) == 1:
|
||||
year_range = f"{years[0]}"
|
||||
else:
|
||||
year_range = f"{years[0]}-{years[-1]}"
|
||||
else:
|
||||
# Fallback to current year if years array is empty
|
||||
current_year = datetime.datetime.now().year
|
||||
year_range = f"{current_year}"
|
||||
|
||||
# Create output filename with store_name and year range
|
||||
output_filename = f"Footprints AI for {store_name} - Retail Media Business Case Calculations {year_range}.xlsx"
|
||||
output_path = os.path.join(output_dir, output_filename)
|
||||
|
||||
# Copy the template to the output directory with the new name
|
||||
try:
|
||||
shutil.copy2(template_path, output_path)
|
||||
print(f"Excel file created successfully: {output_path}")
|
||||
|
||||
# Update the Excel file with variables from config.json
|
||||
print("Updating Excel file with variables from config.json...")
|
||||
update_result = update_excel_variables(output_path)
|
||||
|
||||
if update_result:
|
||||
print("Excel file updated successfully with variables from config.json")
|
||||
else:
|
||||
print("Warning: Failed to update Excel file with variables from config.json")
|
||||
|
||||
return True
|
||||
except Exception as e:
|
||||
print(f"Error creating Excel file: {e}")
|
||||
return False
|
||||
|
||||
def calculate_years(starting_date, duration):
|
||||
"""
|
||||
Calculate an array of years that appear in the period from starting_date for duration months.
|
||||
|
||||
Args:
|
||||
starting_date (str): Date in format dd/mm/yyyy or dd.mm.yyyy
|
||||
duration (int): Number of months, including the starting month
|
||||
|
||||
Returns:
|
||||
list: Array of years in the period [year1, year2, ...]
|
||||
"""
|
||||
# Default result if we can't parse the date
|
||||
default_years = [datetime.datetime.now().year]
|
||||
|
||||
# If starting_date is empty, return current year
|
||||
if not starting_date:
|
||||
return default_years
|
||||
|
||||
try:
|
||||
# Try to parse the date, supporting both dd/mm/yyyy and dd.mm.yyyy formats
|
||||
if '/' in starting_date:
|
||||
day, month, year = map(int, starting_date.split('/'))
|
||||
elif '.' in starting_date:
|
||||
day, month, year = map(int, starting_date.split('.'))
|
||||
elif '-' in starting_date:
|
||||
# Handle ISO format (yyyy-mm-dd)
|
||||
date_parts = starting_date.split('-')
|
||||
if len(date_parts) == 3:
|
||||
year, month, day = map(int, date_parts)
|
||||
else:
|
||||
# Default to current date if format is not recognized
|
||||
return default_years
|
||||
else:
|
||||
# If format is not recognized, return default
|
||||
return default_years
|
||||
|
||||
# Create datetime object for starting date
|
||||
start_date = datetime.datetime(year, month, day)
|
||||
|
||||
# Calculate end date (starting date + duration months - 1 day)
|
||||
end_date = start_date + relativedelta(months=duration-1)
|
||||
|
||||
# Create a set of years (to avoid duplicates)
|
||||
years_set = set()
|
||||
|
||||
# Add starting year
|
||||
years_set.add(start_date.year)
|
||||
|
||||
# Add ending year
|
||||
years_set.add(end_date.year)
|
||||
|
||||
# If there are years in between, add those too
|
||||
for y in range(start_date.year + 1, end_date.year):
|
||||
years_set.add(y)
|
||||
|
||||
# Convert set to sorted list
|
||||
return sorted(list(years_set))
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error calculating years: {e}")
|
||||
return default_years
|
||||
|
||||
if __name__ == "__main__":
|
||||
create_excel_from_template()
|
||||
326
create_excel_clean.py
Executable file
326
create_excel_clean.py
Executable file
@@ -0,0 +1,326 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Cross-platform Excel generation script using openpyxl.
|
||||
This version ensures clean Excel files without SharePoint/OneDrive metadata.
|
||||
"""
|
||||
import json
|
||||
import os
|
||||
import datetime
|
||||
from pathlib import Path
|
||||
from dateutil.relativedelta import relativedelta
|
||||
import openpyxl
|
||||
from openpyxl.workbook import Workbook
|
||||
from openpyxl.utils import get_column_letter
|
||||
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
|
||||
import tempfile
|
||||
import shutil
|
||||
|
||||
|
||||
|
||||
|
||||
def create_excel_from_template():
|
||||
"""
|
||||
Create an Excel file from template with all placeholders replaced.
|
||||
Uses openpyxl for maximum cross-platform compatibility.
|
||||
"""
|
||||
# Define paths
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
config_path = os.path.join(script_dir, 'config.json')
|
||||
template_dir = os.path.join(script_dir, 'template')
|
||||
|
||||
# Try to find the template with either naming convention
|
||||
possible_templates = [
|
||||
'cleaned_template.xlsx', # Prefer cleaned template
|
||||
'Footprints AI for {store_name} - Retail Media Business Case Calculations.xlsx',
|
||||
'Footprints AI for store_name - Retail Media Business Case Calculations.xlsx'
|
||||
]
|
||||
|
||||
template_path = None
|
||||
for template_name in possible_templates:
|
||||
full_path = os.path.join(template_dir, template_name)
|
||||
if os.path.exists(full_path):
|
||||
template_path = full_path
|
||||
print(f"Found template: {template_name}")
|
||||
break
|
||||
|
||||
if not template_path:
|
||||
print(f"Error: No template found in {template_dir}")
|
||||
return False
|
||||
|
||||
output_dir = os.path.join(script_dir, 'output')
|
||||
os.makedirs(output_dir, exist_ok=True)
|
||||
|
||||
# Read config.json
|
||||
try:
|
||||
with open(config_path, 'r') as f:
|
||||
config = json.load(f)
|
||||
user_data = config.get('user_data', {})
|
||||
store_name = user_data.get('store_name', 'Your Store')
|
||||
starting_date = user_data.get('starting_date', '')
|
||||
duration = user_data.get('duration', 36)
|
||||
|
||||
if not store_name:
|
||||
store_name = "Your Store"
|
||||
|
||||
print(f"Processing for store: {store_name}")
|
||||
|
||||
# Calculate years array
|
||||
years = calculate_years(starting_date, duration)
|
||||
calculated_years = years
|
||||
print(f"Years in the period: {years}")
|
||||
except Exception as e:
|
||||
print(f"Error reading config file: {e}")
|
||||
return False
|
||||
|
||||
# Determine year range for filename
|
||||
year_range = ""
|
||||
if years and len(years) > 0:
|
||||
if len(years) == 1:
|
||||
year_range = f"{years[0]}"
|
||||
else:
|
||||
year_range = f"{years[0]}-{years[-1]}"
|
||||
else:
|
||||
year_range = f"{datetime.datetime.now().year}"
|
||||
|
||||
# Create output filename
|
||||
output_filename = f"Footprints AI for {store_name} - Retail Media Business Case Calculations {year_range}.xlsx"
|
||||
output_path = os.path.join(output_dir, output_filename)
|
||||
|
||||
try:
|
||||
# Load template with data_only=False to preserve formulas
|
||||
print("Loading template...")
|
||||
wb = openpyxl.load_workbook(template_path, data_only=False, keep_vba=False)
|
||||
|
||||
|
||||
# Build mapping of placeholder patterns to actual values
|
||||
placeholder_patterns = [
|
||||
('{store_name}', store_name),
|
||||
('store_name', store_name)
|
||||
]
|
||||
|
||||
# Step 1: Create sheet name mappings
|
||||
print("Processing sheet names...")
|
||||
sheet_name_mappings = {}
|
||||
sheets_to_rename = []
|
||||
|
||||
for sheet in wb.worksheets:
|
||||
old_title = sheet.title
|
||||
new_title = old_title
|
||||
|
||||
for placeholder, replacement in placeholder_patterns:
|
||||
if placeholder in new_title:
|
||||
new_title = new_title.replace(placeholder, replacement)
|
||||
|
||||
if old_title != new_title:
|
||||
sheet_name_mappings[old_title] = new_title
|
||||
sheet_name_mappings[f"'{old_title}'"] = f"'{new_title}'"
|
||||
sheets_to_rename.append((sheet, new_title))
|
||||
print(f" Will rename: '{old_title}' -> '{new_title}'")
|
||||
|
||||
# Step 2: Update all formulas and values
|
||||
print("Updating formulas and cell values...")
|
||||
total_updates = 0
|
||||
|
||||
for sheet in wb.worksheets:
|
||||
if 'Variables' in sheet.title:
|
||||
continue
|
||||
|
||||
updates_in_sheet = 0
|
||||
for row in sheet.iter_rows():
|
||||
for cell in row:
|
||||
try:
|
||||
# Handle formulas
|
||||
if hasattr(cell, '_value') and isinstance(cell._value, str) and cell._value.startswith('='):
|
||||
original = cell._value
|
||||
updated = original
|
||||
|
||||
# Update sheet references
|
||||
for old_ref, new_ref in sheet_name_mappings.items():
|
||||
updated = updated.replace(old_ref, new_ref)
|
||||
|
||||
# Update placeholders
|
||||
for placeholder, replacement in placeholder_patterns:
|
||||
updated = updated.replace(placeholder, replacement)
|
||||
|
||||
if updated != original:
|
||||
cell._value = updated
|
||||
updates_in_sheet += 1
|
||||
|
||||
# Handle regular text values
|
||||
elif cell.value and isinstance(cell.value, str):
|
||||
original = cell.value
|
||||
updated = original
|
||||
|
||||
for placeholder, replacement in placeholder_patterns:
|
||||
updated = updated.replace(placeholder, replacement)
|
||||
|
||||
if updated != original:
|
||||
cell.value = updated
|
||||
updates_in_sheet += 1
|
||||
except Exception as e:
|
||||
# Skip cells that cause issues
|
||||
continue
|
||||
|
||||
if updates_in_sheet > 0:
|
||||
print(f" {sheet.title}: {updates_in_sheet} updates")
|
||||
total_updates += updates_in_sheet
|
||||
|
||||
print(f"Total updates: {total_updates}")
|
||||
|
||||
# Step 3: Rename sheets
|
||||
print("Renaming sheets...")
|
||||
for sheet, new_title in sheets_to_rename:
|
||||
old_title = sheet.title
|
||||
sheet.title = new_title
|
||||
print(f" Renamed: '{old_title}' -> '{new_title}'")
|
||||
|
||||
# Hide forecast sheets not in calculated years
|
||||
if "Forecast" in new_title:
|
||||
try:
|
||||
sheet_year = int(new_title.split()[0])
|
||||
if sheet_year not in calculated_years:
|
||||
sheet.sheet_state = 'hidden'
|
||||
print(f" Hidden sheet '{new_title}' (year {sheet_year} not in range)")
|
||||
except (ValueError, IndexError):
|
||||
pass
|
||||
|
||||
# Step 4: Update Variables sheet
|
||||
print("Updating Variables sheet...")
|
||||
if 'Variables' in wb.sheetnames:
|
||||
update_variables_sheet(wb['Variables'], user_data)
|
||||
|
||||
# Step 5: Save as a clean Excel file
|
||||
print(f"Saving clean Excel file to: {output_path}")
|
||||
|
||||
# Create a temporary file first
|
||||
with tempfile.NamedTemporaryFile(suffix='.xlsx', delete=False) as tmp:
|
||||
tmp_path = tmp.name
|
||||
|
||||
# Save to temporary file
|
||||
wb.save(tmp_path)
|
||||
|
||||
# Re-open and save again to ensure clean structure
|
||||
wb_clean = openpyxl.load_workbook(tmp_path, data_only=False)
|
||||
wb_clean.save(output_path)
|
||||
wb_clean.close()
|
||||
|
||||
# Clean up temporary file
|
||||
os.unlink(tmp_path)
|
||||
|
||||
print(f"✓ Excel file created successfully: {output_filename}")
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error creating Excel file: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
return False
|
||||
|
||||
|
||||
def update_variables_sheet(sheet, user_data):
|
||||
"""
|
||||
Update the Variables sheet with values from config.json
|
||||
"""
|
||||
cell_mappings = {
|
||||
'B2': user_data.get('store_name', ''),
|
||||
'B31': user_data.get('starting_date', ''),
|
||||
'B32': user_data.get('duration', 36),
|
||||
'B37': user_data.get('open_days_per_month', 0),
|
||||
|
||||
# Store types
|
||||
'H37': user_data.get('convenience_store_type', {}).get('stores_number', 0),
|
||||
'C37': user_data.get('convenience_store_type', {}).get('monthly_transactions', 0),
|
||||
'I37': 1 if user_data.get('convenience_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J37': user_data.get('convenience_store_type', {}).get('screen_count', 0),
|
||||
'K37': user_data.get('convenience_store_type', {}).get('screen_percentage', 0),
|
||||
'M37': 1 if user_data.get('convenience_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N37': user_data.get('convenience_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
'H38': user_data.get('minimarket_store_type', {}).get('stores_number', 0),
|
||||
'C38': user_data.get('minimarket_store_type', {}).get('monthly_transactions', 0),
|
||||
'I38': 1 if user_data.get('minimarket_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J38': user_data.get('minimarket_store_type', {}).get('screen_count', 0),
|
||||
'K38': user_data.get('minimarket_store_type', {}).get('screen_percentage', 0),
|
||||
'M38': 1 if user_data.get('minimarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N38': user_data.get('minimarket_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
'H39': user_data.get('supermarket_store_type', {}).get('stores_number', 0),
|
||||
'C39': user_data.get('supermarket_store_type', {}).get('monthly_transactions', 0),
|
||||
'I39': 1 if user_data.get('supermarket_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J39': user_data.get('supermarket_store_type', {}).get('screen_count', 0),
|
||||
'K39': user_data.get('supermarket_store_type', {}).get('screen_percentage', 0),
|
||||
'M39': 1 if user_data.get('supermarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N39': user_data.get('supermarket_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
'H40': user_data.get('hypermarket_store_type', {}).get('stores_number', 0),
|
||||
'C40': user_data.get('hypermarket_store_type', {}).get('monthly_transactions', 0),
|
||||
'I40': 1 if user_data.get('hypermarket_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J40': user_data.get('hypermarket_store_type', {}).get('screen_count', 0),
|
||||
'K40': user_data.get('hypermarket_store_type', {}).get('screen_percentage', 0),
|
||||
'M40': 1 if user_data.get('hypermarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N40': user_data.get('hypermarket_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# Channels
|
||||
'B43': user_data.get('website_visitors', 0),
|
||||
'B44': user_data.get('app_users', 0),
|
||||
'B45': user_data.get('loyalty_users', 0),
|
||||
'B49': user_data.get('facebook_followers', 0),
|
||||
'B50': user_data.get('instagram_followers', 0),
|
||||
'B51': user_data.get('google_views', 0),
|
||||
'B52': user_data.get('email_subscribers', 0),
|
||||
'B53': user_data.get('sms_users', 0),
|
||||
'B54': user_data.get('whatsapp_contacts', 0)
|
||||
}
|
||||
|
||||
for cell_ref, value in cell_mappings.items():
|
||||
try:
|
||||
sheet[cell_ref].value = value
|
||||
print(f" Updated {cell_ref} = {value}")
|
||||
except Exception as e:
|
||||
print(f" Warning: Could not update {cell_ref}: {e}")
|
||||
|
||||
|
||||
def calculate_years(starting_date, duration):
|
||||
"""
|
||||
Calculate an array of years that appear in the period.
|
||||
"""
|
||||
default_years = [datetime.datetime.now().year]
|
||||
|
||||
if not starting_date:
|
||||
return default_years
|
||||
|
||||
try:
|
||||
# Parse date - support multiple formats
|
||||
if '/' in str(starting_date):
|
||||
day, month, year = map(int, str(starting_date).split('/'))
|
||||
elif '.' in str(starting_date):
|
||||
day, month, year = map(int, str(starting_date).split('.'))
|
||||
elif '-' in str(starting_date):
|
||||
# ISO format (yyyy-mm-dd)
|
||||
date_parts = str(starting_date).split('-')
|
||||
if len(date_parts) == 3:
|
||||
year, month, day = map(int, date_parts)
|
||||
else:
|
||||
return default_years
|
||||
else:
|
||||
return default_years
|
||||
|
||||
start_date = datetime.datetime(year, month, day)
|
||||
end_date = start_date + relativedelta(months=duration-1)
|
||||
|
||||
years_set = set()
|
||||
years_set.add(start_date.year)
|
||||
years_set.add(end_date.year)
|
||||
|
||||
for y in range(start_date.year + 1, end_date.year):
|
||||
years_set.add(y)
|
||||
|
||||
return sorted(list(years_set))
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error calculating years: {e}")
|
||||
return default_years
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
create_excel_from_template()
|
||||
149
create_excel_openpyxl.py
Normal file
149
create_excel_openpyxl.py
Normal file
@@ -0,0 +1,149 @@
|
||||
#!/usr/bin/env python3
|
||||
import json
|
||||
import os
|
||||
import shutil
|
||||
import datetime
|
||||
import re
|
||||
from pathlib import Path
|
||||
from dateutil.relativedelta import relativedelta
|
||||
from update_excel import update_excel_variables
|
||||
|
||||
def create_excel_from_template():
|
||||
"""
|
||||
Create a copy of the Excel template and save it to the output folder,
|
||||
then inject variables from config.json into the Variables sheet.
|
||||
"""
|
||||
# Define paths
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
config_path = os.path.join(script_dir, 'config.json')
|
||||
# Look for any Excel template in the template directory
|
||||
template_dir = os.path.join(script_dir, 'template')
|
||||
template_files = [f for f in os.listdir(template_dir) if f.endswith('.xlsx')]
|
||||
if not template_files:
|
||||
print("Error: No Excel template found in the template directory")
|
||||
return False
|
||||
template_path = os.path.join(template_dir, template_files[0])
|
||||
output_dir = os.path.join(script_dir, 'output')
|
||||
|
||||
# Ensure output directory exists
|
||||
os.makedirs(output_dir, exist_ok=True)
|
||||
|
||||
# Read config.json to get store_name, starting_date, and duration
|
||||
try:
|
||||
with open(config_path, 'r') as f:
|
||||
config = json.load(f)
|
||||
user_data = config.get('user_data', {})
|
||||
store_name = user_data.get('store_name', '')
|
||||
starting_date = user_data.get('starting_date', '')
|
||||
duration = user_data.get('duration', 36)
|
||||
|
||||
# If store_name is empty, use a default value
|
||||
if not store_name:
|
||||
store_name = "Your Store"
|
||||
|
||||
# Calculate years array based on starting_date and duration
|
||||
years = calculate_years(starting_date, duration)
|
||||
print(f"Years in the period: {years}")
|
||||
except Exception as e:
|
||||
print(f"Error reading config file: {e}")
|
||||
return False
|
||||
|
||||
# Use first and last years from the array in the filename
|
||||
year_range = ""
|
||||
if years and len(years) > 0:
|
||||
if len(years) == 1:
|
||||
year_range = f"{years[0]}"
|
||||
else:
|
||||
year_range = f"{years[0]}-{years[-1]}"
|
||||
else:
|
||||
# Fallback to current year if years array is empty
|
||||
current_year = datetime.datetime.now().year
|
||||
year_range = f"{current_year}"
|
||||
|
||||
# Create output filename with store_name and year range
|
||||
output_filename = f"Footprints AI for {store_name} - Retail Media Business Case Calculations {year_range}.xlsx"
|
||||
output_path = os.path.join(output_dir, output_filename)
|
||||
|
||||
# Copy the template to the output directory with the new name
|
||||
try:
|
||||
shutil.copy2(template_path, output_path)
|
||||
print(f"Excel file created successfully: {output_path}")
|
||||
|
||||
# Update the Excel file with variables from config.json
|
||||
print("Updating Excel file with variables from config.json...")
|
||||
update_result = update_excel_variables(output_path)
|
||||
|
||||
if update_result:
|
||||
print("Excel file updated successfully with variables from config.json")
|
||||
else:
|
||||
print("Warning: Failed to update Excel file with variables from config.json")
|
||||
|
||||
return True
|
||||
except Exception as e:
|
||||
print(f"Error creating Excel file: {e}")
|
||||
return False
|
||||
|
||||
def calculate_years(starting_date, duration):
|
||||
"""
|
||||
Calculate an array of years that appear in the period from starting_date for duration months.
|
||||
|
||||
Args:
|
||||
starting_date (str): Date in format dd/mm/yyyy or dd.mm.yyyy
|
||||
duration (int): Number of months, including the starting month
|
||||
|
||||
Returns:
|
||||
list: Array of years in the period [year1, year2, ...]
|
||||
"""
|
||||
# Default result if we can't parse the date
|
||||
default_years = [datetime.datetime.now().year]
|
||||
|
||||
# If starting_date is empty, return current year
|
||||
if not starting_date:
|
||||
return default_years
|
||||
|
||||
try:
|
||||
# Try to parse the date, supporting both dd/mm/yyyy and dd.mm.yyyy formats
|
||||
if '/' in starting_date:
|
||||
day, month, year = map(int, starting_date.split('/'))
|
||||
elif '.' in starting_date:
|
||||
day, month, year = map(int, starting_date.split('.'))
|
||||
elif '-' in starting_date:
|
||||
# Handle ISO format (yyyy-mm-dd)
|
||||
date_parts = starting_date.split('-')
|
||||
if len(date_parts) == 3:
|
||||
year, month, day = map(int, date_parts)
|
||||
else:
|
||||
# Default to current date if format is not recognized
|
||||
return default_years
|
||||
else:
|
||||
# If format is not recognized, return default
|
||||
return default_years
|
||||
|
||||
# Create datetime object for starting date
|
||||
start_date = datetime.datetime(year, month, day)
|
||||
|
||||
# Calculate end date (starting date + duration months - 1 day)
|
||||
end_date = start_date + relativedelta(months=duration-1)
|
||||
|
||||
# Create a set of years (to avoid duplicates)
|
||||
years_set = set()
|
||||
|
||||
# Add starting year
|
||||
years_set.add(start_date.year)
|
||||
|
||||
# Add ending year
|
||||
years_set.add(end_date.year)
|
||||
|
||||
# If there are years in between, add those too
|
||||
for y in range(start_date.year + 1, end_date.year):
|
||||
years_set.add(y)
|
||||
|
||||
# Convert set to sorted list
|
||||
return sorted(list(years_set))
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error calculating years: {e}")
|
||||
return default_years
|
||||
|
||||
if __name__ == "__main__":
|
||||
create_excel_from_template()
|
||||
331
create_excel_v2.py
Normal file
331
create_excel_v2.py
Normal file
@@ -0,0 +1,331 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Improved Excel creation script that processes templates in memory
|
||||
to prevent external link issues in Excel.
|
||||
"""
|
||||
import json
|
||||
import os
|
||||
import datetime
|
||||
from pathlib import Path
|
||||
from dateutil.relativedelta import relativedelta
|
||||
import openpyxl
|
||||
from openpyxl.utils import get_column_letter
|
||||
|
||||
|
||||
def create_excel_from_template():
|
||||
"""
|
||||
Create an Excel file from template with all placeholders replaced in memory
|
||||
before saving to prevent external link issues.
|
||||
"""
|
||||
# Define paths
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
config_path = os.path.join(script_dir, 'config.json')
|
||||
# Check for both possible template names
|
||||
template_dir = os.path.join(script_dir, 'template')
|
||||
|
||||
# Try to find the template with either naming convention
|
||||
possible_templates = [
|
||||
'Footprints AI for {store_name} - Retail Media Business Case Calculations.xlsx',
|
||||
'Footprints AI for store_name - Retail Media Business Case Calculations.xlsx'
|
||||
]
|
||||
|
||||
template_path = None
|
||||
for template_name in possible_templates:
|
||||
full_path = os.path.join(template_dir, template_name)
|
||||
if os.path.exists(full_path):
|
||||
template_path = full_path
|
||||
print(f"Found template: {template_name}")
|
||||
break
|
||||
|
||||
if not template_path:
|
||||
print(f"Error: No template found in {template_dir}")
|
||||
return False
|
||||
|
||||
output_dir = os.path.join(script_dir, 'output')
|
||||
|
||||
# Ensure output directory exists
|
||||
os.makedirs(output_dir, exist_ok=True)
|
||||
|
||||
# Read config.json
|
||||
try:
|
||||
with open(config_path, 'r') as f:
|
||||
config = json.load(f)
|
||||
user_data = config.get('user_data', {})
|
||||
store_name = user_data.get('store_name', 'Your Store')
|
||||
starting_date = user_data.get('starting_date', '')
|
||||
duration = user_data.get('duration', 36)
|
||||
|
||||
if not store_name:
|
||||
store_name = "Your Store"
|
||||
|
||||
print(f"Processing for store: {store_name}")
|
||||
|
||||
# Calculate years array
|
||||
years = calculate_years(starting_date, duration)
|
||||
calculated_years = years # For sheet visibility later
|
||||
print(f"Years in the period: {years}")
|
||||
except Exception as e:
|
||||
print(f"Error reading config file: {e}")
|
||||
return False
|
||||
|
||||
# Determine year range for filename
|
||||
year_range = ""
|
||||
if years and len(years) > 0:
|
||||
if len(years) == 1:
|
||||
year_range = f"{years[0]}"
|
||||
else:
|
||||
year_range = f"{years[0]}-{years[-1]}"
|
||||
else:
|
||||
year_range = f"{datetime.datetime.now().year}"
|
||||
|
||||
# Create output filename
|
||||
output_filename = f"Footprints AI for {store_name} - Retail Media Business Case Calculations {year_range}.xlsx"
|
||||
output_path = os.path.join(output_dir, output_filename)
|
||||
|
||||
try:
|
||||
# STAGE 1: Load template and replace all placeholders in memory
|
||||
print("Loading template in memory...")
|
||||
wb = openpyxl.load_workbook(template_path, data_only=False)
|
||||
|
||||
# Build mapping of placeholder patterns to actual values
|
||||
# Support both {store_name} and store_name formats
|
||||
placeholder_patterns = [
|
||||
('{store_name}', store_name),
|
||||
('store_name', store_name) # New format without curly braces
|
||||
]
|
||||
|
||||
# STAGE 2: Replace placeholders in sheet names first
|
||||
print("Replacing placeholders in sheet names...")
|
||||
sheet_name_mappings = {}
|
||||
|
||||
for sheet in wb.worksheets:
|
||||
old_title = sheet.title
|
||||
new_title = old_title
|
||||
|
||||
# Replace all placeholder patterns in sheet name
|
||||
for placeholder, replacement in placeholder_patterns:
|
||||
if placeholder in new_title:
|
||||
new_title = new_title.replace(placeholder, replacement)
|
||||
print(f" Sheet name: '{old_title}' -> '{new_title}'")
|
||||
|
||||
if old_title != new_title:
|
||||
# Store the mapping for formula updates
|
||||
sheet_name_mappings[old_title] = new_title
|
||||
# Also store with quotes for formula references
|
||||
sheet_name_mappings[f"'{old_title}'"] = f"'{new_title}'"
|
||||
|
||||
# STAGE 3: Update all formulas and cell values BEFORE renaming sheets
|
||||
print("Updating formulas and cell values...")
|
||||
total_replacements = 0
|
||||
|
||||
for sheet in wb.worksheets:
|
||||
sheet_name = sheet.title
|
||||
replacements_in_sheet = 0
|
||||
|
||||
# Skip Variables sheet to avoid issues
|
||||
if 'Variables' in sheet_name:
|
||||
continue
|
||||
|
||||
for row in sheet.iter_rows():
|
||||
for cell in row:
|
||||
# Handle formulas
|
||||
if cell.data_type == 'f' and cell.value:
|
||||
original_formula = str(cell.value)
|
||||
new_formula = original_formula
|
||||
|
||||
# First replace sheet references
|
||||
for old_ref, new_ref in sheet_name_mappings.items():
|
||||
if old_ref in new_formula:
|
||||
new_formula = new_formula.replace(old_ref, new_ref)
|
||||
|
||||
# Then replace any remaining placeholders
|
||||
for placeholder, replacement in placeholder_patterns:
|
||||
if placeholder in new_formula:
|
||||
new_formula = new_formula.replace(placeholder, replacement)
|
||||
|
||||
if new_formula != original_formula:
|
||||
cell.value = new_formula
|
||||
replacements_in_sheet += 1
|
||||
|
||||
# Handle text values
|
||||
elif cell.value and isinstance(cell.value, str):
|
||||
original_value = str(cell.value)
|
||||
new_value = original_value
|
||||
|
||||
for placeholder, replacement in placeholder_patterns:
|
||||
if placeholder in new_value:
|
||||
new_value = new_value.replace(placeholder, replacement)
|
||||
|
||||
if new_value != original_value:
|
||||
cell.value = new_value
|
||||
replacements_in_sheet += 1
|
||||
|
||||
if replacements_in_sheet > 0:
|
||||
print(f" {sheet_name}: {replacements_in_sheet} replacements")
|
||||
total_replacements += replacements_in_sheet
|
||||
|
||||
print(f"Total replacements: {total_replacements}")
|
||||
|
||||
# STAGE 4: Now rename the sheets (after formulas are updated)
|
||||
print("Renaming sheets...")
|
||||
for sheet in wb.worksheets:
|
||||
old_title = sheet.title
|
||||
new_title = old_title
|
||||
|
||||
for placeholder, replacement in placeholder_patterns:
|
||||
if placeholder in new_title:
|
||||
new_title = new_title.replace(placeholder, replacement)
|
||||
|
||||
if old_title != new_title:
|
||||
sheet.title = new_title
|
||||
print(f" Renamed: '{old_title}' -> '{new_title}'")
|
||||
|
||||
# Check if this is a forecast sheet and hide if needed
|
||||
if "Forecast" in new_title:
|
||||
try:
|
||||
# Extract year from sheet name
|
||||
sheet_year = int(new_title.split()[0])
|
||||
if sheet_year not in calculated_years:
|
||||
sheet.sheet_state = 'hidden'
|
||||
print(f" Hidden sheet '{new_title}' (year {sheet_year} not in range)")
|
||||
except (ValueError, IndexError):
|
||||
pass
|
||||
|
||||
# STAGE 5: Update Variables sheet with config values
|
||||
print("Updating Variables sheet...")
|
||||
if 'Variables' in wb.sheetnames:
|
||||
update_variables_sheet(wb['Variables'], user_data)
|
||||
|
||||
# STAGE 6: Save the fully processed workbook
|
||||
print(f"Saving to: {output_path}")
|
||||
wb.save(output_path)
|
||||
|
||||
print(f"✓ Excel file created successfully: {output_filename}")
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error creating Excel file: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
return False
|
||||
|
||||
|
||||
def update_variables_sheet(sheet, user_data):
|
||||
"""
|
||||
Update the Variables sheet with values from config.json
|
||||
"""
|
||||
# Map config variables to Excel cells
|
||||
cell_mappings = {
|
||||
'B2': user_data.get('store_name', ''),
|
||||
'B31': user_data.get('starting_date', ''),
|
||||
'B32': user_data.get('duration', 36),
|
||||
'B37': user_data.get('open_days_per_month', 0),
|
||||
|
||||
# Convenience store type
|
||||
'H37': user_data.get('convenience_store_type', {}).get('stores_number', 0),
|
||||
'C37': user_data.get('convenience_store_type', {}).get('monthly_transactions', 0),
|
||||
'I37': 1 if user_data.get('convenience_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J37': user_data.get('convenience_store_type', {}).get('screen_count', 0),
|
||||
'K37': user_data.get('convenience_store_type', {}).get('screen_percentage', 0),
|
||||
'M37': 1 if user_data.get('convenience_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N37': user_data.get('convenience_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# Minimarket store type
|
||||
'H38': user_data.get('minimarket_store_type', {}).get('stores_number', 0),
|
||||
'C38': user_data.get('minimarket_store_type', {}).get('monthly_transactions', 0),
|
||||
'I38': 1 if user_data.get('minimarket_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J38': user_data.get('minimarket_store_type', {}).get('screen_count', 0),
|
||||
'K38': user_data.get('minimarket_store_type', {}).get('screen_percentage', 0),
|
||||
'M38': 1 if user_data.get('minimarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N38': user_data.get('minimarket_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# Supermarket store type
|
||||
'H39': user_data.get('supermarket_store_type', {}).get('stores_number', 0),
|
||||
'C39': user_data.get('supermarket_store_type', {}).get('monthly_transactions', 0),
|
||||
'I39': 1 if user_data.get('supermarket_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J39': user_data.get('supermarket_store_type', {}).get('screen_count', 0),
|
||||
'K39': user_data.get('supermarket_store_type', {}).get('screen_percentage', 0),
|
||||
'M39': 1 if user_data.get('supermarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N39': user_data.get('supermarket_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# Hypermarket store type
|
||||
'H40': user_data.get('hypermarket_store_type', {}).get('stores_number', 0),
|
||||
'C40': user_data.get('hypermarket_store_type', {}).get('monthly_transactions', 0),
|
||||
'I40': 1 if user_data.get('hypermarket_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J40': user_data.get('hypermarket_store_type', {}).get('screen_count', 0),
|
||||
'K40': user_data.get('hypermarket_store_type', {}).get('screen_percentage', 0),
|
||||
'M40': 1 if user_data.get('hypermarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N40': user_data.get('hypermarket_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# On-site channels
|
||||
'B43': user_data.get('website_visitors', 0),
|
||||
'B44': user_data.get('app_users', 0),
|
||||
'B45': user_data.get('loyalty_users', 0),
|
||||
|
||||
# Off-site channels
|
||||
'B49': user_data.get('facebook_followers', 0),
|
||||
'B50': user_data.get('instagram_followers', 0),
|
||||
'B51': user_data.get('google_views', 0),
|
||||
'B52': user_data.get('email_subscribers', 0),
|
||||
'B53': user_data.get('sms_users', 0),
|
||||
'B54': user_data.get('whatsapp_contacts', 0)
|
||||
}
|
||||
|
||||
# Update the cells
|
||||
for cell_ref, value in cell_mappings.items():
|
||||
try:
|
||||
sheet[cell_ref].value = value
|
||||
print(f" Updated {cell_ref} = {value}")
|
||||
except Exception as e:
|
||||
print(f" Warning: Could not update {cell_ref}: {e}")
|
||||
|
||||
|
||||
def calculate_years(starting_date, duration):
|
||||
"""
|
||||
Calculate an array of years that appear in the period.
|
||||
"""
|
||||
default_years = [datetime.datetime.now().year]
|
||||
|
||||
if not starting_date:
|
||||
return default_years
|
||||
|
||||
try:
|
||||
# Parse date - support multiple formats
|
||||
if '/' in str(starting_date):
|
||||
day, month, year = map(int, str(starting_date).split('/'))
|
||||
elif '.' in str(starting_date):
|
||||
day, month, year = map(int, str(starting_date).split('.'))
|
||||
elif '-' in str(starting_date):
|
||||
# ISO format (yyyy-mm-dd)
|
||||
date_parts = str(starting_date).split('-')
|
||||
if len(date_parts) == 3:
|
||||
year, month, day = map(int, date_parts)
|
||||
else:
|
||||
return default_years
|
||||
else:
|
||||
return default_years
|
||||
|
||||
# Create datetime object
|
||||
start_date = datetime.datetime(year, month, day)
|
||||
|
||||
# Calculate end date
|
||||
end_date = start_date + relativedelta(months=duration-1)
|
||||
|
||||
# Create set of years
|
||||
years_set = set()
|
||||
years_set.add(start_date.year)
|
||||
years_set.add(end_date.year)
|
||||
|
||||
# Add any years in between
|
||||
for y in range(start_date.year + 1, end_date.year):
|
||||
years_set.add(y)
|
||||
|
||||
return sorted(list(years_set))
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error calculating years: {e}")
|
||||
return default_years
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
create_excel_from_template()
|
||||
152
create_excel_xlsxwriter.py
Normal file
152
create_excel_xlsxwriter.py
Normal file
@@ -0,0 +1,152 @@
|
||||
#!/usr/bin/env python3
|
||||
import json
|
||||
import os
|
||||
import shutil
|
||||
import datetime
|
||||
import re
|
||||
from pathlib import Path
|
||||
from dateutil.relativedelta import relativedelta
|
||||
from update_excel_xlsxwriter import update_excel_variables
|
||||
|
||||
def create_excel_from_template():
|
||||
"""
|
||||
Create a copy of the Excel template and save it to the output folder,
|
||||
then inject variables from config.json into the Variables sheet.
|
||||
|
||||
This version uses openpyxl exclusively for modifying existing Excel files
|
||||
to preserve all formatting, formulas, and Excel features.
|
||||
"""
|
||||
# Define paths
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
config_path = os.path.join(script_dir, 'config.json')
|
||||
# Look for any Excel template in the template directory
|
||||
template_dir = os.path.join(script_dir, 'template')
|
||||
template_files = [f for f in os.listdir(template_dir) if f.endswith('.xlsx')]
|
||||
if not template_files:
|
||||
print("Error: No Excel template found in the template directory")
|
||||
return False
|
||||
template_path = os.path.join(template_dir, template_files[0])
|
||||
output_dir = os.path.join(script_dir, 'output')
|
||||
|
||||
# Ensure output directory exists
|
||||
os.makedirs(output_dir, exist_ok=True)
|
||||
|
||||
# Read config.json to get store_name, starting_date, and duration
|
||||
try:
|
||||
with open(config_path, 'r') as f:
|
||||
config = json.load(f)
|
||||
user_data = config.get('user_data', {})
|
||||
store_name = user_data.get('store_name', '')
|
||||
starting_date = user_data.get('starting_date', '')
|
||||
duration = user_data.get('duration', 36)
|
||||
|
||||
# If store_name is empty, use a default value
|
||||
if not store_name:
|
||||
store_name = "Your Store"
|
||||
|
||||
# Calculate years array based on starting_date and duration
|
||||
years = calculate_years(starting_date, duration)
|
||||
print(f"Years in the period: {years}")
|
||||
except Exception as e:
|
||||
print(f"Error reading config file: {e}")
|
||||
return False
|
||||
|
||||
# Use first and last years from the array in the filename
|
||||
year_range = ""
|
||||
if years and len(years) > 0:
|
||||
if len(years) == 1:
|
||||
year_range = f"{years[0]}"
|
||||
else:
|
||||
year_range = f"{years[0]}-{years[-1]}"
|
||||
else:
|
||||
# Fallback to current year if years array is empty
|
||||
current_year = datetime.datetime.now().year
|
||||
year_range = f"{current_year}"
|
||||
|
||||
# Create output filename with store_name and year range
|
||||
output_filename = f"Footprints AI for {store_name} - Retail Media Business Case Calculations {year_range}.xlsx"
|
||||
output_path = os.path.join(output_dir, output_filename)
|
||||
|
||||
# Copy the template to the output directory with the new name
|
||||
try:
|
||||
shutil.copy2(template_path, output_path)
|
||||
print(f"Excel file created successfully: {output_path}")
|
||||
|
||||
# Update the Excel file with variables from config.json
|
||||
print("Updating Excel file with variables from config.json...")
|
||||
update_result = update_excel_variables(output_path)
|
||||
|
||||
if update_result:
|
||||
print("Excel file updated successfully with variables from config.json")
|
||||
else:
|
||||
print("Warning: Failed to update Excel file with variables from config.json")
|
||||
|
||||
return True
|
||||
except Exception as e:
|
||||
print(f"Error creating Excel file: {e}")
|
||||
return False
|
||||
|
||||
def calculate_years(starting_date, duration):
|
||||
"""
|
||||
Calculate an array of years that appear in the period from starting_date for duration months.
|
||||
|
||||
Args:
|
||||
starting_date (str): Date in format dd/mm/yyyy or dd.mm.yyyy
|
||||
duration (int): Number of months, including the starting month
|
||||
|
||||
Returns:
|
||||
list: Array of years in the period [year1, year2, ...]
|
||||
"""
|
||||
# Default result if we can't parse the date
|
||||
default_years = [datetime.datetime.now().year]
|
||||
|
||||
# If starting_date is empty, return current year
|
||||
if not starting_date:
|
||||
return default_years
|
||||
|
||||
try:
|
||||
# Try to parse the date, supporting both dd/mm/yyyy and dd.mm.yyyy formats
|
||||
if '/' in starting_date:
|
||||
day, month, year = map(int, starting_date.split('/'))
|
||||
elif '.' in starting_date:
|
||||
day, month, year = map(int, starting_date.split('.'))
|
||||
elif '-' in starting_date:
|
||||
# Handle ISO format (yyyy-mm-dd)
|
||||
date_parts = starting_date.split('-')
|
||||
if len(date_parts) == 3:
|
||||
year, month, day = map(int, date_parts)
|
||||
else:
|
||||
# Default to current date if format is not recognized
|
||||
return default_years
|
||||
else:
|
||||
# If format is not recognized, return default
|
||||
return default_years
|
||||
|
||||
# Create datetime object for starting date
|
||||
start_date = datetime.datetime(year, month, day)
|
||||
|
||||
# Calculate end date (starting date + duration months - 1 day)
|
||||
end_date = start_date + relativedelta(months=duration-1)
|
||||
|
||||
# Create a set of years (to avoid duplicates)
|
||||
years_set = set()
|
||||
|
||||
# Add starting year
|
||||
years_set.add(start_date.year)
|
||||
|
||||
# Add ending year
|
||||
years_set.add(end_date.year)
|
||||
|
||||
# If there are years in between, add those too
|
||||
for y in range(start_date.year + 1, end_date.year):
|
||||
years_set.add(y)
|
||||
|
||||
# Convert set to sorted list
|
||||
return sorted(list(years_set))
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error calculating years: {e}")
|
||||
return default_years
|
||||
|
||||
if __name__ == "__main__":
|
||||
create_excel_from_template()
|
||||
138
diagnose_excel_issue.py
Normal file
138
diagnose_excel_issue.py
Normal file
@@ -0,0 +1,138 @@
|
||||
#!/usr/bin/env python3
|
||||
import os
|
||||
import zipfile
|
||||
import xml.etree.ElementTree as ET
|
||||
import openpyxl
|
||||
from openpyxl.xml.functions import fromstring, tostring
|
||||
from pathlib import Path
|
||||
|
||||
def diagnose_excel_file(file_path):
|
||||
"""Diagnose Excel file for corruption issues"""
|
||||
print(f"Diagnosing: {file_path}")
|
||||
print("=" * 50)
|
||||
|
||||
# 1. Check if file exists
|
||||
if not os.path.exists(file_path):
|
||||
print(f"ERROR: File not found: {file_path}")
|
||||
return
|
||||
|
||||
# 2. Try to open with openpyxl
|
||||
print("\n1. Testing openpyxl compatibility:")
|
||||
try:
|
||||
wb = openpyxl.load_workbook(file_path, read_only=False, keep_vba=True, data_only=False)
|
||||
print(f" ✓ Successfully loaded with openpyxl")
|
||||
print(f" - Sheets: {wb.sheetnames}")
|
||||
|
||||
# Check for custom properties
|
||||
if hasattr(wb, 'custom_doc_props'):
|
||||
print(f" - Custom properties: {wb.custom_doc_props}")
|
||||
|
||||
wb.close()
|
||||
except Exception as e:
|
||||
print(f" ✗ Failed to load with openpyxl: {e}")
|
||||
|
||||
# 3. Analyze ZIP structure
|
||||
print("\n2. Analyzing ZIP/XML structure:")
|
||||
try:
|
||||
with zipfile.ZipFile(file_path, 'r') as zf:
|
||||
# Check for custom XML
|
||||
custom_xml_files = [f for f in zf.namelist() if 'customXml' in f or 'custom' in f.lower()]
|
||||
if custom_xml_files:
|
||||
print(f" ! Found custom XML files: {custom_xml_files}")
|
||||
|
||||
for custom_file in custom_xml_files:
|
||||
try:
|
||||
content = zf.read(custom_file)
|
||||
print(f"\n Content of {custom_file}:")
|
||||
print(f" {content[:500].decode('utf-8', errors='ignore')}")
|
||||
except Exception as e:
|
||||
print(f" Error reading {custom_file}: {e}")
|
||||
|
||||
# Check for tables
|
||||
table_files = [f for f in zf.namelist() if 'xl/tables/' in f]
|
||||
if table_files:
|
||||
print(f" - Found table files: {table_files}")
|
||||
for table_file in table_files:
|
||||
content = zf.read(table_file)
|
||||
# Check if XML declaration is present
|
||||
if not content.startswith(b'<?xml'):
|
||||
print(f" ! WARNING: {table_file} missing XML declaration")
|
||||
|
||||
# Check workbook.xml for issues
|
||||
if 'xl/workbook.xml' in zf.namelist():
|
||||
workbook_content = zf.read('xl/workbook.xml')
|
||||
# Parse and check for issues
|
||||
try:
|
||||
root = ET.fromstring(workbook_content)
|
||||
# Check for external references
|
||||
ext_refs = root.findall('.//{http://schemas.openxmlformats.org/spreadsheetml/2006/main}externalReference')
|
||||
if ext_refs:
|
||||
print(f" ! Found {len(ext_refs)} external references")
|
||||
except Exception as e:
|
||||
print(f" ! Error parsing workbook.xml: {e}")
|
||||
|
||||
except Exception as e:
|
||||
print(f" ✗ Failed to analyze ZIP structure: {e}")
|
||||
|
||||
# 4. Check for SharePoint/OneDrive metadata
|
||||
print("\n3. Checking for SharePoint/OneDrive metadata:")
|
||||
try:
|
||||
with zipfile.ZipFile(file_path, 'r') as zf:
|
||||
if 'docProps/custom.xml' in zf.namelist():
|
||||
content = zf.read('docProps/custom.xml')
|
||||
if b'ContentTypeId' in content:
|
||||
print(" ! Found SharePoint ContentTypeId in custom.xml")
|
||||
print(" ! This file contains SharePoint metadata that may cause issues")
|
||||
if b'MediaService' in content:
|
||||
print(" ! Found MediaService tags in custom.xml")
|
||||
except Exception as e:
|
||||
print(f" ✗ Error checking metadata: {e}")
|
||||
|
||||
# 5. Compare with template
|
||||
print("\n4. Comparing with template:")
|
||||
template_path = Path(file_path).parent.parent / "template" / "Footprints AI for {store_name} - Retail Media Business Case Calculations.xlsx"
|
||||
if template_path.exists():
|
||||
try:
|
||||
with zipfile.ZipFile(template_path, 'r') as tf:
|
||||
with zipfile.ZipFile(file_path, 'r') as gf:
|
||||
template_files = set(tf.namelist())
|
||||
generated_files = set(gf.namelist())
|
||||
|
||||
# Files in generated but not in template
|
||||
extra_files = generated_files - template_files
|
||||
if extra_files:
|
||||
print(f" ! Extra files in generated: {extra_files}")
|
||||
|
||||
# Files in template but not in generated
|
||||
missing_files = template_files - generated_files
|
||||
if missing_files:
|
||||
print(f" ! Missing files in generated: {missing_files}")
|
||||
except Exception as e:
|
||||
print(f" ✗ Error comparing with template: {e}")
|
||||
else:
|
||||
print(f" - Template not found at {template_path}")
|
||||
|
||||
print("\n" + "=" * 50)
|
||||
print("DIAGNOSIS SUMMARY:")
|
||||
print("The error 'This file has custom XML elements that are no longer supported'")
|
||||
print("is likely caused by SharePoint/OneDrive metadata in the custom.xml file.")
|
||||
print("\nThe ContentTypeId property suggests this file was previously stored in")
|
||||
print("SharePoint/OneDrive, which added custom metadata that Excel doesn't support")
|
||||
print("in certain contexts.")
|
||||
|
||||
# Test with the latest file
|
||||
if __name__ == "__main__":
|
||||
output_dir = Path(__file__).parent / "output"
|
||||
test_file = output_dir / "Footprints AI for Test14 - Retail Media Business Case Calculations 2025-2028.xlsx"
|
||||
|
||||
if test_file.exists():
|
||||
diagnose_excel_file(str(test_file))
|
||||
else:
|
||||
print(f"Test file not found: {test_file}")
|
||||
# Try to find any Excel file in output
|
||||
excel_files = list(output_dir.glob("*.xlsx"))
|
||||
if excel_files:
|
||||
print(f"\nFound {len(excel_files)} Excel files in output directory.")
|
||||
print("Diagnosing the most recent one...")
|
||||
latest_file = max(excel_files, key=os.path.getmtime)
|
||||
diagnose_excel_file(str(latest_file))
|
||||
260
excel_repair_solution_proposal.md
Normal file
260
excel_repair_solution_proposal.md
Normal file
@@ -0,0 +1,260 @@
|
||||
# Excel Table Repair - Solution Proposal
|
||||
|
||||
## Executive Summary
|
||||
|
||||
The Excel table repair errors are caused by **platform-specific differences in ZIP file assembly**, not XML content issues. Since the table XML is identical between working (macOS) and broken (Ubuntu) files, the solution requires addressing the underlying file generation process rather than XML formatting.
|
||||
|
||||
## Solution Strategy
|
||||
|
||||
### Option 1: Template-Based XML Injection (Recommended)
|
||||
**Approach**: Modify the script to generate Excel tables using the exact XML format from the working template.
|
||||
|
||||
**Implementation**:
|
||||
1. **Extract template table XML** as reference patterns
|
||||
2. **Generate proper XML declarations** for all table files
|
||||
3. **Add missing namespace declarations** and compatibility directives
|
||||
4. **Implement UID generation** for tables and columns
|
||||
5. **Fix table ID sequencing** to match Excel expectations
|
||||
|
||||
**Advantages**:
|
||||
- ✅ Addresses root XML format issues
|
||||
- ✅ Works across all platforms
|
||||
- ✅ Future-proof against Excel updates
|
||||
- ✅ No dependency on external libraries
|
||||
|
||||
**Implementation Timeline**: 2-3 days
|
||||
|
||||
### Option 2: Python Library Standardization
|
||||
**Approach**: Replace custom Excel generation with established cross-platform libraries.
|
||||
|
||||
**Implementation Options**:
|
||||
1. **openpyxl** - Most popular, excellent table support
|
||||
2. **xlsxwriter** - Fast performance, good formatting
|
||||
3. **pandas + openpyxl** - High-level data operations
|
||||
|
||||
**Advantages**:
|
||||
- ✅ Proven cross-platform compatibility
|
||||
- ✅ Handles XML complexities automatically
|
||||
- ✅ Better maintenance and updates
|
||||
- ✅ Extensive documentation and community
|
||||
|
||||
**Implementation Timeline**: 1-2 weeks (requires rewriting generation logic)
|
||||
|
||||
### Option 3: Platform Environment Isolation
|
||||
**Approach**: Standardize the Python environment across platforms.
|
||||
|
||||
**Implementation**:
|
||||
1. **Docker containerization** with fixed Python/library versions
|
||||
2. **Virtual environment** with pinned dependencies
|
||||
3. **CI/CD pipeline** generating files on controlled environment
|
||||
|
||||
**Advantages**:
|
||||
- ✅ Ensures identical execution environment
|
||||
- ✅ Minimal code changes required
|
||||
- ✅ Reproducible builds
|
||||
|
||||
**Implementation Timeline**: 3-5 days
|
||||
|
||||
## Recommended Implementation Plan
|
||||
|
||||
### Phase 1: Immediate Fix (Template-Based XML)
|
||||
|
||||
#### Step 1: XML Template Extraction
|
||||
```python
|
||||
def extract_template_xml_patterns():
|
||||
"""Extract proper XML patterns from working template"""
|
||||
template_tables = {
|
||||
'table1': {
|
||||
'declaration': '<?xml version="1.0" encoding="UTF-8" standalone="yes"?>',
|
||||
'namespaces': {
|
||||
'main': 'http://schemas.openxmlformats.org/spreadsheetml/2006/main',
|
||||
'mc': 'http://schemas.openxmlformats.org/markup-compatibility/2006',
|
||||
'xr': 'http://schemas.microsoft.com/office/spreadsheetml/2014/revision',
|
||||
'xr3': 'http://schemas.microsoft.com/office/spreadsheetml/2016/revision3'
|
||||
},
|
||||
'compatibility': 'mc:Ignorable="xr xr3"',
|
||||
'uid_pattern': '{00000000-000C-0000-FFFF-FFFF{:02d}000000}'
|
||||
}
|
||||
}
|
||||
return template_tables
|
||||
```
|
||||
|
||||
#### Step 2: XML Generation Functions
|
||||
```python
|
||||
def generate_proper_table_xml(table_data, table_id):
|
||||
"""Generate Excel-compliant table XML with proper format"""
|
||||
|
||||
# XML Declaration
|
||||
xml_content = '<?xml version="1.0" encoding="UTF-8" standalone="yes"?>\n'
|
||||
|
||||
# Table element with all namespaces
|
||||
xml_content += f'<table xmlns="{MAIN_NS}" xmlns:mc="{MC_NS}" '
|
||||
xml_content += f'mc:Ignorable="xr xr3" xmlns:xr="{XR_NS}" '
|
||||
xml_content += f'xmlns:xr3="{XR3_NS}" '
|
||||
xml_content += f'id="{table_id + 1}" ' # Correct ID sequence
|
||||
xml_content += f'xr:uid="{generate_table_uid(table_id)}" '
|
||||
xml_content += f'name="{table_data.name}" '
|
||||
xml_content += f'displayName="{table_data.display_name}" '
|
||||
xml_content += f'ref="{table_data.ref}">\n'
|
||||
|
||||
# Table columns with UIDs
|
||||
xml_content += generate_table_columns_xml(table_data.columns, table_id)
|
||||
|
||||
# Table style info
|
||||
xml_content += generate_table_style_xml(table_data.style)
|
||||
|
||||
xml_content += '</table>'
|
||||
|
||||
return xml_content
|
||||
|
||||
def generate_table_uid(table_id):
|
||||
"""Generate proper UIDs for tables"""
|
||||
return f"{{00000000-000C-0000-FFFF-FFFF{table_id:02d}000000}}"
|
||||
|
||||
def generate_column_uid(table_id, column_id):
|
||||
"""Generate proper UIDs for table columns"""
|
||||
return f"{{00000000-0010-0000-{table_id:04d}-{column_id:06d}000000}}"
|
||||
```
|
||||
|
||||
#### Step 3: File Assembly Improvements
|
||||
```python
|
||||
def create_excel_file_with_proper_compression():
|
||||
"""Create Excel file with consistent ZIP compression"""
|
||||
|
||||
# Use consistent compression settings
|
||||
with zipfile.ZipFile(output_path, 'w',
|
||||
compression=zipfile.ZIP_DEFLATED,
|
||||
compresslevel=6, # Consistent compression level
|
||||
allowZip64=False) as zipf:
|
||||
|
||||
# Set consistent file timestamps
|
||||
fixed_time = (2023, 1, 1, 0, 0, 0)
|
||||
|
||||
for file_path, content in excel_files.items():
|
||||
zinfo = zipfile.ZipInfo(file_path)
|
||||
zinfo.date_time = fixed_time
|
||||
zinfo.compress_type = zipfile.ZIP_DEFLATED
|
||||
|
||||
zipf.writestr(zinfo, content)
|
||||
```
|
||||
|
||||
### Phase 2: Testing and Validation
|
||||
|
||||
#### Cross-Platform Testing Matrix
|
||||
| Platform | Python Version | Library Versions | Test Status |
|
||||
|----------|---------------|-----------------|-------------|
|
||||
| Ubuntu 22.04 | 3.10+ | openpyxl==3.x | ⏳ Pending |
|
||||
| macOS | 3.10+ | openpyxl==3.x | ✅ Working |
|
||||
| Windows | 3.10+ | openpyxl==3.x | ⏳ TBD |
|
||||
|
||||
#### Validation Script
|
||||
```python
|
||||
def validate_excel_file(file_path):
|
||||
"""Validate generated Excel file for repair issues"""
|
||||
|
||||
checks = {
|
||||
'table_xml_format': check_table_xml_declarations,
|
||||
'namespace_compliance': check_namespace_declarations,
|
||||
'uid_presence': check_unique_identifiers,
|
||||
'zip_metadata': check_zip_file_metadata,
|
||||
'excel_compatibility': test_excel_opening
|
||||
}
|
||||
|
||||
results = {}
|
||||
for check_name, check_func in checks.items():
|
||||
results[check_name] = check_func(file_path)
|
||||
|
||||
return results
|
||||
```
|
||||
|
||||
### Phase 3: Long-term Improvements
|
||||
|
||||
#### Migration to openpyxl
|
||||
```python
|
||||
# Example migration approach
|
||||
from openpyxl import Workbook
|
||||
from openpyxl.worksheet.table import Table, TableStyleInfo
|
||||
|
||||
def create_excel_with_openpyxl(business_case_data):
|
||||
"""Generate Excel using openpyxl for cross-platform compatibility"""
|
||||
|
||||
wb = Workbook()
|
||||
ws = wb.active
|
||||
|
||||
# Add data
|
||||
for row in business_case_data:
|
||||
ws.append(row)
|
||||
|
||||
# Create table with proper formatting
|
||||
table = Table(displayName="BusinessCaseTable", ref="A1:H47")
|
||||
style = TableStyleInfo(name="TableStyleMedium3",
|
||||
showFirstColumn=False,
|
||||
showLastColumn=False,
|
||||
showRowStripes=True,
|
||||
showColumnStripes=False)
|
||||
table.tableStyleInfo = style
|
||||
|
||||
ws.add_table(table)
|
||||
|
||||
# Save with consistent settings
|
||||
wb.save(output_path)
|
||||
```
|
||||
|
||||
## Implementation Checklist
|
||||
|
||||
### Immediate Actions (Week 1)
|
||||
- [ ] Extract XML patterns from working template
|
||||
- [ ] Implement proper XML declaration generation
|
||||
- [ ] Add namespace declarations and compatibility directives
|
||||
- [ ] Implement UID generation algorithms
|
||||
- [ ] Fix table ID sequencing logic
|
||||
- [ ] Test on Ubuntu environment
|
||||
|
||||
### Validation Actions (Week 2)
|
||||
- [ ] Create comprehensive test suite
|
||||
- [ ] Validate across multiple platforms
|
||||
- [ ] Performance testing with large datasets
|
||||
- [ ] Excel compatibility testing (different versions)
|
||||
- [ ] Automated repair detection
|
||||
|
||||
### Future Improvements (Month 2)
|
||||
- [ ] Migration to openpyxl library
|
||||
- [ ] Docker containerization for consistent environment
|
||||
- [ ] CI/CD pipeline with cross-platform testing
|
||||
- [ ] Comprehensive documentation updates
|
||||
|
||||
## Risk Assessment
|
||||
|
||||
### High Priority Risks
|
||||
- **Platform dependency**: Current solution may not work on Windows
|
||||
- **Excel version compatibility**: Different Excel versions may have different validation
|
||||
- **Performance impact**: Proper XML generation may be slower
|
||||
|
||||
### Mitigation Strategies
|
||||
- **Comprehensive testing**: Test on all target platforms before deployment
|
||||
- **Fallback mechanism**: Keep current generation as backup
|
||||
- **Performance optimization**: Profile and optimize XML generation code
|
||||
|
||||
## Success Metrics
|
||||
|
||||
### Primary Goals
|
||||
- ✅ Zero Excel repair dialogs on Ubuntu-generated files
|
||||
- ✅ Identical behavior across macOS and Ubuntu
|
||||
- ✅ No data loss or functionality regression
|
||||
|
||||
### Secondary Goals
|
||||
- ✅ Improved file generation performance
|
||||
- ✅ Better code maintainability
|
||||
- ✅ Enhanced error handling and logging
|
||||
|
||||
## Conclusion
|
||||
|
||||
The recommended solution addresses the root cause by implementing proper Excel XML format generation while maintaining cross-platform compatibility. The template-based approach provides immediate relief while the library migration offers long-term stability.
|
||||
|
||||
**Next Steps**: Begin with Phase 1 implementation focusing on proper XML generation, followed by comprehensive testing across platforms.
|
||||
|
||||
---
|
||||
|
||||
*Proposal created: 2025-09-19*
|
||||
*Estimated implementation time: 2-3 weeks*
|
||||
*Priority: High - affects production workflows*
|
||||
117
excel_table_repair_analysis.md
Normal file
117
excel_table_repair_analysis.md
Normal file
@@ -0,0 +1,117 @@
|
||||
# Excel Table Repair Error Analysis
|
||||
|
||||
## Issue Summary
|
||||
When opening Ubuntu-generated Excel files, Excel displays repair errors specifically for tables:
|
||||
- **Repaired Records: Table from /xl/tables/table1.xml part (Table)**
|
||||
- **Repaired Records: Table from /xl/tables/table2.xml part (Table)**
|
||||
|
||||
**CRITICAL FINDING**: The same script generates working files on macOS but broken files on Ubuntu, indicating a **platform-specific issue** rather than a general Excel format problem.
|
||||
|
||||
## Investigation Findings
|
||||
|
||||
### Three-Way Table Structure Comparison
|
||||
|
||||
#### Template File (Original - Working)
|
||||
- Contains proper XML declaration: `<?xml version="1.0" encoding="UTF-8" standalone="yes"?>`
|
||||
- Includes comprehensive namespace declarations:
|
||||
- `xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006"`
|
||||
- `xmlns:xr="http://schemas.microsoft.com/office/spreadsheetml/2014/revision"`
|
||||
- `xmlns:xr3="http://schemas.microsoft.com/office/spreadsheetml/2016/revision3"`
|
||||
- Has `mc:Ignorable="xr xr3"` compatibility directive
|
||||
- Contains unique identifiers (`xr:uid`, `xr3:uid`) for tables and columns
|
||||
- Proper table ID sequence (table1 has id="2", table2 has id="3")
|
||||
|
||||
#### macOS Generated File (Working - No Repair Errors)
|
||||
- **Missing XML declaration** - no `<?xml version="1.0" encoding="UTF-8" standalone="yes"?>`
|
||||
- **Missing namespace declarations** for revision extensions
|
||||
- **No compatibility directives** (`mc:Ignorable`)
|
||||
- **Missing unique identifiers** for tables and columns
|
||||
- **Different table ID sequence** (table1 has id="1", table2 has id="2")
|
||||
- **File sizes: 1,032 bytes (table1), 1,121 bytes (table2)**
|
||||
|
||||
#### Ubuntu Generated File (Broken - Requires Repair)
|
||||
- **Missing XML declaration** - no `<?xml version="1.0" encoding="UTF-8" standalone="yes"?>`
|
||||
- **Missing namespace declarations** for revision extensions
|
||||
- **No compatibility directives** (`mc:Ignorable`)
|
||||
- **Missing unique identifiers** for tables and columns
|
||||
- **Same table ID sequence as macOS** (table1 has id="1", table2 has id="2")
|
||||
- **Identical file sizes to macOS: 1,032 bytes (table1), 1,121 bytes (table2)**
|
||||
|
||||
### Key Discovery: XML Content is Identical
|
||||
|
||||
**SHOCKING REVELATION**: The table XML content between macOS and Ubuntu generated files is **byte-for-byte identical**. Both have:
|
||||
|
||||
1. **Missing XML declarations**
|
||||
2. **Missing namespace extensions**
|
||||
3. **Missing unique identifiers**
|
||||
4. **Same table ID sequence** (1, 2)
|
||||
5. **Identical file sizes**
|
||||
|
||||
**macOS table1.xml vs Ubuntu table1.xml:**
|
||||
```xml
|
||||
<table id="1" name="Table8" displayName="Table8" ref="A43:H47" headerRowCount="1" totalsRowShown="0" headerRowDxfId="53" dataDxfId="52" xmlns="http://schemas.openxmlformats.org/spreadsheetml/2006/main">...
|
||||
```
|
||||
*(Completely identical)*
|
||||
|
||||
### Root Cause Analysis - Platform Dependency
|
||||
|
||||
Since the table XML is identical but only Ubuntu files require repair, the issue is **NOT in the table XML content**. The problem must be:
|
||||
|
||||
1. **File encoding differences** during ZIP assembly
|
||||
2. **ZIP compression algorithm differences** between platforms
|
||||
3. **File timestamp/metadata differences** in the ZIP archive
|
||||
4. **Different Python library versions** handling ZIP creation differently
|
||||
5. **Excel's platform-specific validation logic** being more strict on certain systems
|
||||
|
||||
### Common Formula Issues
|
||||
Both versions contain `#REF!` errors in calculated columns:
|
||||
```xml
|
||||
<calculatedColumnFormula>#REF!</calculatedColumnFormula>
|
||||
```
|
||||
This suggests broken cell references but doesn't cause repair errors.
|
||||
|
||||
### Impact Assessment
|
||||
- **Functionality:** No data loss, tables work after repair
|
||||
- **User Experience:** Excel shows warning dialog requiring user action **only on Ubuntu-generated files**
|
||||
- **Automation:** Breaks automated processing workflows **only for Ubuntu deployments**
|
||||
- **Platform Consistency:** Same code produces different results across platforms
|
||||
|
||||
## Recommendations
|
||||
|
||||
### Platform-Specific Investigation Priorities
|
||||
1. **Compare Python library versions** between macOS and Ubuntu environments
|
||||
2. **Check ZIP file metadata** (timestamps, compression levels, file attributes)
|
||||
3. **Examine file encoding** during Excel assembly process
|
||||
4. **Test with different Python Excel libraries** (openpyxl vs xlsxwriter vs others)
|
||||
5. **Analyze ZIP file internals** with hex editors for subtle differences
|
||||
|
||||
### Immediate Workarounds
|
||||
1. **Document platform dependency** in deployment guides
|
||||
2. **Test all generated files** on target Excel environment before distribution
|
||||
3. **Consider generating files on macOS** for production use
|
||||
4. **Implement automated repair detection** in the workflow
|
||||
|
||||
### Long-term Fixes
|
||||
1. **Standardize to template format** with proper XML declarations and namespaces
|
||||
2. **Use established Excel libraries** with proven cross-platform compatibility
|
||||
3. **Implement comprehensive testing** across multiple platforms
|
||||
4. **Add ZIP file validation** to detect platform-specific differences
|
||||
|
||||
## Technical Details
|
||||
|
||||
### File Comparison Results
|
||||
| File | Template | macOS Generated | Ubuntu Generated | Ubuntu vs macOS |
|
||||
|------|----------|----------------|------------------|-----------------|
|
||||
| table1.xml | 1,755 bytes | 1,032 bytes | 1,032 bytes | **Identical** |
|
||||
| table2.xml | 1,844 bytes | 1,121 bytes | 1,121 bytes | **Identical** |
|
||||
|
||||
### Platform Dependency Evidence
|
||||
- **Identical table XML content** between macOS and Ubuntu
|
||||
- **Same missing features** (declarations, namespaces, UIDs)
|
||||
- **Different Excel behavior** (repair required only on Ubuntu)
|
||||
- **Suggests ZIP-level or metadata differences**
|
||||
|
||||
---
|
||||
|
||||
*Analysis completed: 2025-09-19*
|
||||
*Files examined: Template vs Test5 generated Excel workbooks*
|
||||
207
fix_excel_corruption.py
Normal file
207
fix_excel_corruption.py
Normal file
@@ -0,0 +1,207 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Fix Excel corruption issues caused by SharePoint/OneDrive metadata
|
||||
"""
|
||||
import os
|
||||
import shutil
|
||||
import zipfile
|
||||
import xml.etree.ElementTree as ET
|
||||
from pathlib import Path
|
||||
import tempfile
|
||||
import openpyxl
|
||||
|
||||
def remove_sharepoint_metadata(excel_path, output_path=None):
|
||||
"""
|
||||
Remove SharePoint/OneDrive metadata from Excel file that causes corruption warnings
|
||||
|
||||
Args:
|
||||
excel_path: Path to the Excel file to fix
|
||||
output_path: Optional path for the fixed file (if None, overwrites original)
|
||||
|
||||
Returns:
|
||||
bool: True if successful, False otherwise
|
||||
"""
|
||||
if not output_path:
|
||||
output_path = excel_path
|
||||
|
||||
print(f"Processing: {excel_path}")
|
||||
|
||||
try:
|
||||
# Method 1: Use openpyxl to remove custom properties
|
||||
print("Method 1: Using openpyxl to clean custom properties...")
|
||||
wb = openpyxl.load_workbook(excel_path, keep_vba=True)
|
||||
|
||||
# Remove custom document properties
|
||||
if hasattr(wb, 'custom_doc_props'):
|
||||
# Clear all custom properties
|
||||
wb.custom_doc_props.props.clear()
|
||||
print(" ✓ Cleared custom document properties")
|
||||
|
||||
# Save to temporary file first
|
||||
temp_file = Path(output_path).with_suffix('.tmp.xlsx')
|
||||
wb.save(temp_file)
|
||||
wb.close()
|
||||
|
||||
# Method 2: Direct ZIP manipulation to ensure complete removal
|
||||
print("Method 2: Direct ZIP manipulation for complete cleanup...")
|
||||
with tempfile.NamedTemporaryFile(suffix='.xlsx', delete=False) as tmp:
|
||||
tmp_path = tmp.name
|
||||
|
||||
with zipfile.ZipFile(temp_file, 'r') as zin:
|
||||
with zipfile.ZipFile(tmp_path, 'w', compression=zipfile.ZIP_DEFLATED) as zout:
|
||||
# Copy all files except custom.xml or create a clean one
|
||||
for item in zin.infolist():
|
||||
if item.filename == 'docProps/custom.xml':
|
||||
# Create a clean custom.xml without SharePoint metadata
|
||||
clean_custom_xml = create_clean_custom_xml()
|
||||
zout.writestr(item, clean_custom_xml)
|
||||
print(" ✓ Replaced custom.xml with clean version")
|
||||
else:
|
||||
# Copy the file as-is
|
||||
zout.writestr(item, zin.read(item.filename))
|
||||
|
||||
# Replace original file with cleaned version
|
||||
shutil.move(tmp_path, output_path)
|
||||
|
||||
# Clean up temporary file
|
||||
if temp_file.exists():
|
||||
temp_file.unlink()
|
||||
|
||||
print(f" ✓ Successfully cleaned: {output_path}")
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f" ✗ Error cleaning file: {e}")
|
||||
return False
|
||||
|
||||
def create_clean_custom_xml():
|
||||
"""
|
||||
Create a clean custom.xml without SharePoint metadata
|
||||
"""
|
||||
# Create a minimal valid custom.xml
|
||||
xml_content = '''<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
|
||||
<Properties xmlns="http://schemas.openxmlformats.org/officeDocument/2006/custom-properties">
|
||||
</Properties>'''
|
||||
return xml_content.encode('utf-8')
|
||||
|
||||
def clean_template_file():
|
||||
"""
|
||||
Clean the template file to prevent future corruption
|
||||
"""
|
||||
template_dir = Path(__file__).parent / "template"
|
||||
template_files = list(template_dir.glob("*.xlsx"))
|
||||
|
||||
if not template_files:
|
||||
print("No template files found")
|
||||
return False
|
||||
|
||||
for template_file in template_files:
|
||||
print(f"\nCleaning template: {template_file.name}")
|
||||
|
||||
# Create backup
|
||||
backup_path = template_file.with_suffix('.backup.xlsx')
|
||||
shutil.copy2(template_file, backup_path)
|
||||
print(f" ✓ Created backup: {backup_path.name}")
|
||||
|
||||
# Clean the template
|
||||
if remove_sharepoint_metadata(str(template_file)):
|
||||
print(f" ✓ Template cleaned successfully")
|
||||
else:
|
||||
print(f" ✗ Failed to clean template")
|
||||
# Restore from backup
|
||||
shutil.copy2(backup_path, template_file)
|
||||
print(f" ✓ Restored from backup")
|
||||
|
||||
return True
|
||||
|
||||
def clean_all_output_files():
|
||||
"""
|
||||
Clean all Excel files in the output directory
|
||||
"""
|
||||
output_dir = Path(__file__).parent / "output"
|
||||
excel_files = list(output_dir.glob("*.xlsx"))
|
||||
|
||||
if not excel_files:
|
||||
print("No Excel files found in output directory")
|
||||
return False
|
||||
|
||||
print(f"Found {len(excel_files)} Excel files to clean")
|
||||
|
||||
for excel_file in excel_files:
|
||||
print(f"\nCleaning: {excel_file.name}")
|
||||
if remove_sharepoint_metadata(str(excel_file)):
|
||||
print(f" ✓ Cleaned successfully")
|
||||
else:
|
||||
print(f" ✗ Failed to clean")
|
||||
|
||||
return True
|
||||
|
||||
def verify_file_is_clean(excel_path):
|
||||
"""
|
||||
Verify that an Excel file is free from SharePoint metadata
|
||||
"""
|
||||
print(f"\nVerifying: {excel_path}")
|
||||
|
||||
try:
|
||||
with zipfile.ZipFile(excel_path, 'r') as zf:
|
||||
if 'docProps/custom.xml' in zf.namelist():
|
||||
content = zf.read('docProps/custom.xml')
|
||||
|
||||
# Check for problematic metadata
|
||||
if b'ContentTypeId' in content:
|
||||
print(" ✗ Still contains SharePoint ContentTypeId")
|
||||
return False
|
||||
if b'MediaService' in content:
|
||||
print(" ✗ Still contains MediaService tags")
|
||||
return False
|
||||
|
||||
print(" ✓ File is clean - no SharePoint metadata found")
|
||||
return True
|
||||
else:
|
||||
print(" ✓ File is clean - no custom.xml present")
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f" ✗ Error verifying file: {e}")
|
||||
return False
|
||||
|
||||
def main():
|
||||
"""Main function to clean Excel files"""
|
||||
print("=" * 60)
|
||||
print("Excel SharePoint Metadata Cleaner")
|
||||
print("=" * 60)
|
||||
|
||||
# Step 1: Clean the template
|
||||
print("\nStep 1: Cleaning template file...")
|
||||
print("-" * 40)
|
||||
clean_template_file()
|
||||
|
||||
# Step 2: Clean all output files
|
||||
print("\n\nStep 2: Cleaning output files...")
|
||||
print("-" * 40)
|
||||
clean_all_output_files()
|
||||
|
||||
# Step 3: Verify cleaning
|
||||
print("\n\nStep 3: Verifying cleaned files...")
|
||||
print("-" * 40)
|
||||
|
||||
# Verify template
|
||||
template_dir = Path(__file__).parent / "template"
|
||||
for template_file in template_dir.glob("*.xlsx"):
|
||||
if not template_file.name.endswith('.backup.xlsx'):
|
||||
verify_file_is_clean(str(template_file))
|
||||
|
||||
# Verify output files
|
||||
output_dir = Path(__file__).parent / "output"
|
||||
for excel_file in output_dir.glob("*.xlsx"):
|
||||
verify_file_is_clean(str(excel_file))
|
||||
|
||||
print("\n" + "=" * 60)
|
||||
print("Cleaning complete!")
|
||||
print("\nNOTE: The Excel files should now open without corruption warnings.")
|
||||
print("The SharePoint/OneDrive metadata has been removed.")
|
||||
print("\nFuture files generated from the cleaned template should not have this issue.")
|
||||
print("=" * 60)
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
51954
footprints_ai_test5_complete.xml
Normal file
51954
footprints_ai_test5_complete.xml
Normal file
File diff suppressed because it is too large
Load Diff
1606
index.html
Normal file
1606
index.html
Normal file
File diff suppressed because it is too large
Load Diff
187
index.js
Normal file
187
index.js
Normal file
@@ -0,0 +1,187 @@
|
||||
const fs = require('fs');
|
||||
const path = require('path');
|
||||
|
||||
// Function to update config.json with form data
|
||||
async function updateConfig(formData) {
|
||||
return new Promise((resolve, reject) => {
|
||||
const configPath = path.join(__dirname, 'config.json');
|
||||
|
||||
// Read the existing config file
|
||||
fs.readFile(configPath, 'utf8', (err, data) => {
|
||||
if (err) {
|
||||
reject(new Error(`Failed to read config file: ${err.message}`));
|
||||
return;
|
||||
}
|
||||
|
||||
try {
|
||||
// Parse the existing config
|
||||
const configData = JSON.parse(data);
|
||||
|
||||
// Update user_data in the config with form data
|
||||
configData.user_data = {
|
||||
// Contact information
|
||||
first_name: formData.firstName || "",
|
||||
last_name: formData.lastName || "",
|
||||
company_name: formData.company || "",
|
||||
email: formData.email || "",
|
||||
phone: formData.phone || "",
|
||||
store_name: formData.storeName || "",
|
||||
country: formData.country || "",
|
||||
starting_date: formData.startingDate || "",
|
||||
duration: parseInt(formData.duration) || 36,
|
||||
|
||||
// Store information
|
||||
store_types: getSelectedStoreTypes(formData),
|
||||
open_days_per_month: parseInt(formData.openDays) || 0,
|
||||
|
||||
// Store type specific data
|
||||
convenience_store_type: {
|
||||
stores_number: isStoreTypeSelected(formData, 'Convenience') ? parseInt(formData.convenience_stores) || 0 : 0,
|
||||
monthly_transactions: isStoreTypeSelected(formData, 'Convenience') ? parseInt(formData.convenience_transactions) || 0 : 0,
|
||||
has_digital_screens: isStoreTypeSelected(formData, 'Convenience') ? formData.convenience_screens === "Yes" : false,
|
||||
screen_count: isStoreTypeSelected(formData, 'Convenience') ? parseInt(formData.convenience_screen_count) || 0 : 0,
|
||||
screen_percentage: isStoreTypeSelected(formData, 'Convenience') ? parseInt(formData.convenience_screen_percentage) || 0 : 0,
|
||||
has_in_store_radio: isStoreTypeSelected(formData, 'Convenience') ? formData.convenience_radio === "Yes" : false,
|
||||
radio_percentage: isStoreTypeSelected(formData, 'Convenience') ? parseInt(formData.convenience_radio_percentage) || 0 : 0,
|
||||
open_days_per_month: parseInt(formData.openDays) || 0
|
||||
},
|
||||
|
||||
supermarket_store_type: {
|
||||
stores_number: isStoreTypeSelected(formData, 'Supermarket') ? parseInt(formData.supermarket_stores) || 0 : 0,
|
||||
monthly_transactions: isStoreTypeSelected(formData, 'Supermarket') ? parseInt(formData.supermarket_transactions) || 0 : 0,
|
||||
has_digital_screens: isStoreTypeSelected(formData, 'Supermarket') ? formData.supermarket_screens === "Yes" : false,
|
||||
screen_count: isStoreTypeSelected(formData, 'Supermarket') ? parseInt(formData.supermarket_screen_count) || 0 : 0,
|
||||
screen_percentage: isStoreTypeSelected(formData, 'Supermarket') ? parseInt(formData.supermarket_screen_percentage) || 0 : 0,
|
||||
has_in_store_radio: isStoreTypeSelected(formData, 'Supermarket') ? formData.supermarket_radio === "Yes" : false,
|
||||
radio_percentage: isStoreTypeSelected(formData, 'Supermarket') ? parseInt(formData.supermarket_radio_percentage) || 0 : 0,
|
||||
open_days_per_month: parseInt(formData.openDays) || 0
|
||||
},
|
||||
|
||||
hypermarket_store_type: {
|
||||
stores_number: isStoreTypeSelected(formData, 'Hypermarket') ? parseInt(formData.hypermarket_stores) || 0 : 0,
|
||||
monthly_transactions: isStoreTypeSelected(formData, 'Hypermarket') ? parseInt(formData.hypermarket_transactions) || 0 : 0,
|
||||
has_digital_screens: isStoreTypeSelected(formData, 'Hypermarket') ? formData.hypermarket_screens === "Yes" : false,
|
||||
screen_count: isStoreTypeSelected(formData, 'Hypermarket') ? parseInt(formData.hypermarket_screen_count) || 0 : 0,
|
||||
screen_percentage: isStoreTypeSelected(formData, 'Hypermarket') ? parseInt(formData.hypermarket_screen_percentage) || 0 : 0,
|
||||
has_in_store_radio: isStoreTypeSelected(formData, 'Hypermarket') ? formData.hypermarket_radio === "Yes" : false,
|
||||
radio_percentage: isStoreTypeSelected(formData, 'Hypermarket') ? parseInt(formData.hypermarket_radio_percentage) || 0 : 0,
|
||||
open_days_per_month: parseInt(formData.openDays) || 0
|
||||
},
|
||||
|
||||
// On-site channels
|
||||
on_site_channels: getSelectedChannels(formData, 'onSiteChannels'),
|
||||
website_visitors: isChannelSelected(formData, 'onSiteChannels', 'Website') ? parseInt(formData.websiteVisitors) || 0 : 0,
|
||||
app_users: isChannelSelected(formData, 'onSiteChannels', 'Mobile App') ? parseInt(formData.appUsers) || 0 : 0,
|
||||
loyalty_users: isChannelSelected(formData, 'onSiteChannels', 'Loyalty Program') ? parseInt(formData.loyaltyUsers) || 0 : 0,
|
||||
|
||||
// Off-site channels
|
||||
off_site_channels: getSelectedChannels(formData, 'offSiteChannels'),
|
||||
facebook_followers: isChannelSelected(formData, 'offSiteChannels', 'Facebook Business') ? parseInt(formData.facebookFollowers) || 0 : 0,
|
||||
instagram_followers: isChannelSelected(formData, 'offSiteChannels', 'Instagram Business') ? parseInt(formData.instagramFollowers) || 0 : 0,
|
||||
google_views: isChannelSelected(formData, 'offSiteChannels', 'Google Business Profile') ? parseInt(formData.googleViews) || 0 : 0,
|
||||
email_subscribers: isChannelSelected(formData, 'offSiteChannels', 'Email') ? parseInt(formData.emailSubscribers) || 0 : 0,
|
||||
sms_users: isChannelSelected(formData, 'offSiteChannels', 'SMS') ? parseInt(formData.smsUsers) || 0 : 0,
|
||||
whatsapp_contacts: isChannelSelected(formData, 'offSiteChannels', 'WhatsApp') ? parseInt(formData.whatsappContacts) || 0 : 0,
|
||||
|
||||
// Preserve existing calculation results if they exist
|
||||
potential_reach_in_store: 0,
|
||||
unique_impressions_in_store: 0,
|
||||
potential_reach_on_site: 0,
|
||||
unique_impressions_on_site: 0,
|
||||
potential_reach_off_site: 0,
|
||||
unique_impressions_off_site: 0
|
||||
};
|
||||
|
||||
// Write the updated config back to the file
|
||||
const updatedConfig = JSON.stringify(configData, null, 2);
|
||||
|
||||
fs.writeFile(configPath, updatedConfig, 'utf8', (writeErr) => {
|
||||
if (writeErr) {
|
||||
reject(new Error(`Failed to write to config file: ${writeErr.message}`));
|
||||
return;
|
||||
}
|
||||
|
||||
resolve();
|
||||
});
|
||||
} catch (parseError) {
|
||||
reject(new Error(`Failed to parse config file: ${parseError.message}`));
|
||||
}
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
// Helper function to check if a channel is selected
|
||||
function isChannelSelected(formData, channelType, channelName) {
|
||||
const selectedChannels = getSelectedChannels(formData, channelType);
|
||||
return selectedChannels.includes(channelName);
|
||||
}
|
||||
|
||||
// Helper function to get selected channels from form data
|
||||
function getSelectedChannels(formData, channelType) {
|
||||
console.log(`Getting selected channels for ${channelType} from formData:`, formData[channelType]);
|
||||
|
||||
let channels = [];
|
||||
|
||||
if (formData[channelType]) {
|
||||
if (Array.isArray(formData[channelType])) {
|
||||
channels = formData[channelType];
|
||||
} else {
|
||||
channels = [formData[channelType]];
|
||||
}
|
||||
}
|
||||
|
||||
console.log(`Selected ${channelType}:`, channels);
|
||||
return channels;
|
||||
}
|
||||
|
||||
// Helper function to check if a store type is selected
|
||||
function isStoreTypeSelected(formData, storeType) {
|
||||
const selectedTypes = getSelectedStoreTypes(formData);
|
||||
return selectedTypes.includes(storeType);
|
||||
}
|
||||
|
||||
// Helper function to get selected store types from form data
|
||||
function getSelectedStoreTypes(formData) {
|
||||
console.log('Getting selected store types from formData:', formData);
|
||||
|
||||
// Check if storeTypes is an array or single value
|
||||
let storeTypes = [];
|
||||
|
||||
if (formData.storeTypes) {
|
||||
if (Array.isArray(formData.storeTypes)) {
|
||||
storeTypes = formData.storeTypes;
|
||||
} else {
|
||||
storeTypes = [formData.storeTypes];
|
||||
}
|
||||
}
|
||||
|
||||
console.log('Selected store types:', storeTypes);
|
||||
return storeTypes;
|
||||
}
|
||||
|
||||
// Function to fetch config.json
|
||||
async function fetchConfig() {
|
||||
return new Promise((resolve, reject) => {
|
||||
fs.readFile(path.join(__dirname, 'config.json'), 'utf8', (err, data) => {
|
||||
if (err) {
|
||||
reject(new Error(`Failed to read config file: ${err.message}`));
|
||||
return;
|
||||
}
|
||||
|
||||
try {
|
||||
const config = JSON.parse(data);
|
||||
resolve(config);
|
||||
} catch (parseError) {
|
||||
reject(new Error(`Failed to parse config file: ${parseError.message}`));
|
||||
}
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
// For Node.js environment, export the functions
|
||||
if (typeof module !== 'undefined' && module.exports) {
|
||||
module.exports = {
|
||||
updateConfig,
|
||||
fetchConfig
|
||||
};
|
||||
}
|
||||
92
llm_prompt_retail_media.md
Normal file
92
llm_prompt_retail_media.md
Normal file
@@ -0,0 +1,92 @@
|
||||
# 🧠 LLM Prompt – Retail Media Calculation Agent
|
||||
|
||||
## Purpose
|
||||
|
||||
You are a smart data agent. Your job is to:
|
||||
|
||||
1. **Extract input values** from the existing form ( `index.html`).
|
||||
2. **Read constants and formulas** from an existing `config.json`.
|
||||
3. **Normalize input**:
|
||||
- For any question that asks for a percentage (e.g., "percentage of stores with screens"), **divide that value by 100** before using it in calculations.
|
||||
4. **Apply the formulas** to calculate the following metrics and **insert the values into `results.json`** under the following keys:
|
||||
|
||||
```json
|
||||
{
|
||||
"potential_reach_in_store": <calculated_value>,
|
||||
"unique_impressions_in_store": <calculated_value>,
|
||||
"potential_reach_on_site": <calculated_value>,
|
||||
"unique_impressions_on_site": <calculated_value>,
|
||||
"potential_reach_off_site": <calculated_value>,
|
||||
"unique_impressions_off_site": <calculated_value>
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🔢 Formulas
|
||||
|
||||
- **% stores with retail media**
|
||||
`= min(stores_with_screens, stores_with_radio) + abs(stores_with_screens - stores_with_radio) / 2`
|
||||
|
||||
- **potential_reach_in_store**
|
||||
`= (transactions × % stores with retail media / frequency) × visitor_coefficient`
|
||||
|
||||
- **unique_impressions_in_store**
|
||||
`= ((dwell_time + 60 × ad_duration) × frequency × capture_rate_screen × paid_screen × screen_count) + ((dwell_time + 60 × ad_duration) × frequency × (radio_percentage / 0.5) × paid_radio)`
|
||||
|
||||
- **potential_reach_on_site**
|
||||
`= (website_visits × (1 - website_bounce_rate) / website_frequency) + (app_users × (1 - app_bounce_rate)) + (loyalty_users × (1 - loyalty_bounce_rate))`
|
||||
|
||||
- **unique_impressions_on_site**
|
||||
`= average_impressions_website × website_frequency × if_website + average_impressions_app × app_frequency × if_app + average_impressions_loyalty × loyalty_frequency × if_loyalty`
|
||||
|
||||
- **potential_reach_off_site**
|
||||
`= sum of (followers × (1 - off_site_bounce_rate))` for each channel selected
|
||||
|
||||
- **unique_impressions_off_site**
|
||||
`= frequency × avg_impressions × if_channel` for each selected channel (e.g., Facebook, Instagram, etc.)
|
||||
|
||||
---
|
||||
|
||||
## ✅ Boolean Inputs
|
||||
|
||||
Use `if_channel = 1` if selected, `0` otherwise.
|
||||
|
||||
---
|
||||
|
||||
## ⚙️ Additional Behavior
|
||||
|
||||
After the user clicks the **Submit** button on the form:
|
||||
|
||||
- The formulas must be executed using the inputs.
|
||||
- The calculated values must be generated and replaced into the `results.json`.
|
||||
- This logic should be implemented in a **separate script file** responsible for handling the form submission, reading constants, applying formulas, and updating the config.
|
||||
|
||||
---
|
||||
|
||||
## 📁 Output: results.json
|
||||
|
||||
We maintain a JSON file named `results.json` with the following structure:
|
||||
|
||||
```json
|
||||
{
|
||||
"potential_reach_in_store": <calculated_value>,
|
||||
"unique_impressions_in_store": <calculated_value>,
|
||||
"potential_reach_on_site": <calculated_value>,
|
||||
"unique_impressions_on_site": <calculated_value>,
|
||||
"potential_reach_off_site": <calculated_value>,
|
||||
"unique_impressions_off_site": <calculated_value>
|
||||
}
|
||||
```
|
||||
|
||||
On **each form submission**, the formulas must be:
|
||||
|
||||
- **Executed using the latest input values**
|
||||
- **The `results.json` file must be updated (overwritten) with the new results**
|
||||
|
||||
This logic is to be implemented in **Node.js**, in a dedicated script that handles:
|
||||
|
||||
- Reading user input
|
||||
- Parsing `config.json`
|
||||
- Performing calculations
|
||||
- Writing updated values into `results.json`
|
||||
2290
package-lock.json
generated
Normal file
2290
package-lock.json
generated
Normal file
File diff suppressed because it is too large
Load Diff
22
package.json
Normal file
22
package.json
Normal file
@@ -0,0 +1,22 @@
|
||||
{
|
||||
"name": "retail-media-calculator",
|
||||
"version": "1.0.0",
|
||||
"description": "Retail Media Business Case Calculation Agent",
|
||||
"main": "server.js",
|
||||
"scripts": {
|
||||
"start": "node server.js",
|
||||
"dev": "nodemon server.js"
|
||||
},
|
||||
"dependencies": {
|
||||
"body-parser": "^1.20.2",
|
||||
"exceljs": "^4.4.0",
|
||||
"express": "^4.18.2",
|
||||
"fs-extra": "^11.3.1",
|
||||
"node-xlsx": "^0.24.0",
|
||||
"python-shell": "^5.0.0",
|
||||
"xlsx": "^0.18.5"
|
||||
},
|
||||
"devDependencies": {
|
||||
"nodemon": "^3.0.1"
|
||||
}
|
||||
}
|
||||
132
server.js
Normal file
132
server.js
Normal file
@@ -0,0 +1,132 @@
|
||||
const express = require('express');
|
||||
const bodyParser = require('body-parser');
|
||||
const fs = require('fs');
|
||||
const path = require('path');
|
||||
const { exec } = require('child_process');
|
||||
const { updateConfig } = require('./index');
|
||||
|
||||
// Create Express app
|
||||
const app = express();
|
||||
const PORT = process.env.PORT || 4444;
|
||||
|
||||
// Middleware
|
||||
app.use(express.static(__dirname)); // Serve static files
|
||||
app.use('/output', express.static(path.join(__dirname, 'output'))); // Serve files from output directory
|
||||
app.use(bodyParser.json());
|
||||
app.use(bodyParser.urlencoded({ extended: true }));
|
||||
|
||||
// Route to serve the HTML form
|
||||
app.get('/', (req, res) => {
|
||||
res.sendFile(path.join(__dirname, 'index.html'));
|
||||
});
|
||||
|
||||
// Route to serve the thank you page
|
||||
app.get('/thank-you.html', (req, res) => {
|
||||
res.sendFile(path.join(__dirname, 'thank-you.html'));
|
||||
});
|
||||
|
||||
// Route to download the generated Excel file
|
||||
app.get('/download-excel', (req, res) => {
|
||||
try {
|
||||
// Read the latest config to get store name and other details
|
||||
const configPath = path.join(__dirname, 'config.json');
|
||||
const config = JSON.parse(fs.readFileSync(configPath, 'utf8'));
|
||||
const storeName = config.user_data?.store_name || 'Your Store';
|
||||
|
||||
// Find the most recent Excel file in the output directory
|
||||
const outputDir = path.join(__dirname, 'output');
|
||||
const files = fs.readdirSync(outputDir)
|
||||
.filter(file => file.endsWith('.xlsx') && file.includes(storeName))
|
||||
.map(file => ({
|
||||
name: file,
|
||||
time: fs.statSync(path.join(outputDir, file)).mtime.getTime()
|
||||
}))
|
||||
.sort((a, b) => b.time - a.time); // Sort by modified time, newest first
|
||||
|
||||
if (files.length > 0) {
|
||||
const latestFile = files[0].name;
|
||||
const filePath = path.join(outputDir, latestFile);
|
||||
|
||||
// Set headers for file download
|
||||
res.setHeader('Content-Type', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet');
|
||||
res.setHeader('Content-Disposition', `attachment; filename="${latestFile}"`);
|
||||
|
||||
// Send the file
|
||||
res.sendFile(filePath);
|
||||
console.log(`Excel file sent for download: ${filePath}`);
|
||||
} else {
|
||||
res.status(404).send('No Excel file found');
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Error downloading Excel file:', error);
|
||||
res.status(500).send('Error downloading Excel file');
|
||||
}
|
||||
});
|
||||
|
||||
// API endpoint to handle form submissions
|
||||
app.post('/calculate', async (req, res) => {
|
||||
try {
|
||||
console.log('Received form submission');
|
||||
const formData = req.body;
|
||||
console.log('Form data received:', JSON.stringify(formData, null, 2));
|
||||
|
||||
// Update config file with form data
|
||||
await updateConfig(formData);
|
||||
console.log('Config file updated successfully');
|
||||
|
||||
// Run Python script to create Excel file synchronously
|
||||
const { execSync } = require('child_process');
|
||||
try {
|
||||
console.log('Executing Python script...');
|
||||
const stdout = execSync('source venv/bin/activate && python3 create_excel_xlsxwriter.py', {
|
||||
encoding: 'utf8',
|
||||
shell: '/bin/bash'
|
||||
});
|
||||
console.log(`Python script output: ${stdout}`);
|
||||
|
||||
// Extract the filename from the Python script output
|
||||
const filenameMatch = stdout.match(/Excel file created successfully: .*\/output\/(.*\.xlsx)/);
|
||||
const excelFilename = filenameMatch ? filenameMatch[1] : null;
|
||||
|
||||
if (excelFilename) {
|
||||
// Store the filename in a session variable or pass it to the thank-you page
|
||||
console.log(`Excel filename extracted: ${excelFilename}`);
|
||||
}
|
||||
|
||||
// Send success response after Python script completes
|
||||
res.json({
|
||||
success: true,
|
||||
message: 'Form data saved and Excel file created successfully',
|
||||
excelFilename: excelFilename
|
||||
});
|
||||
console.log('Success response sent');
|
||||
} catch (execError) {
|
||||
console.error(`Error executing Python script: ${execError.message}`);
|
||||
if (execError.stderr) {
|
||||
console.error(`stderr: ${execError.stderr}`);
|
||||
}
|
||||
|
||||
// Send error response for Python script failure
|
||||
res.status(500).json({
|
||||
success: false,
|
||||
message: 'Error creating Excel file',
|
||||
error: execError.message
|
||||
});
|
||||
console.error('Error response sent for Python script failure');
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Error processing form data:', error);
|
||||
console.error('Error stack:', error.stack);
|
||||
res.status(500).json({
|
||||
success: false,
|
||||
message: 'Error processing form data',
|
||||
error: error.message
|
||||
});
|
||||
console.error('Error response sent');
|
||||
}
|
||||
});
|
||||
|
||||
// Start the server
|
||||
app.listen(PORT, () => {
|
||||
console.log(`Server running on port ${PORT}`);
|
||||
});
|
||||
0
template/.gitkeep
Normal file
0
template/.gitkeep
Normal file
Binary file not shown.
BIN
test_copy.xlsx
Normal file
BIN
test_copy.xlsx
Normal file
Binary file not shown.
BIN
test_opensave.xlsx
Normal file
BIN
test_opensave.xlsx
Normal file
Binary file not shown.
50
thank-you.html
Normal file
50
thank-you.html
Normal file
@@ -0,0 +1,50 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>Thank You - Retail Media Business Case</title>
|
||||
<script src="https://cdn.tailwindcss.com"></script>
|
||||
</head>
|
||||
<body class="bg-white min-h-screen flex items-center justify-center py-8">
|
||||
<div class="w-full max-w-[600px] mx-auto px-4 sm:px-6">
|
||||
<div class="text-center mb-6">
|
||||
<h1 class="text-4xl font-bold text-black mb-2">Thank You!</h1>
|
||||
</div>
|
||||
|
||||
<div class="bg-gray-50 p-8 rounded-lg shadow-sm text-center">
|
||||
<div class="mb-6">
|
||||
<svg xmlns="http://www.w3.org/2000/svg" class="h-16 w-16 text-[#1f1a3e] mx-auto" fill="none" viewBox="0 0 24 24" stroke="currentColor">
|
||||
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M9 12l2 2 4-4m6 2a9 9 0 11-18 0 9 9 0 0118 0z" />
|
||||
</svg>
|
||||
</div>
|
||||
|
||||
<p class="text-base text-[#1f1a3e] mb-6">
|
||||
Your submission has been received successfully. Our retail media specialists will reach out to you soon.
|
||||
</p>
|
||||
|
||||
<p class="text-base text-[#1f1a3e] mb-8">
|
||||
You can download your personalized business case Excel file using the button below.
|
||||
</p>
|
||||
|
||||
<div class="flex flex-col sm:flex-row justify-center gap-4">
|
||||
<a href="/download-excel"
|
||||
class="inline-block px-10 py-3 bg-gradient-to-r from-green-500 to-teal-600 text-white rounded-[10px] hover:from-green-600 hover:to-teal-700 font-bold text-lg uppercase tracking-wide transition-all shadow-md hover:shadow-lg">
|
||||
<div class="flex items-center justify-center">
|
||||
<svg xmlns="http://www.w3.org/2000/svg" class="h-5 w-5 mr-2" fill="none" viewBox="0 0 24 24" stroke="currentColor">
|
||||
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M4 16v1a3 3 0 003 3h10a3 3 0 003-3v-1m-4-4l-4 4m0 0l-4-4m4 4V4" />
|
||||
</svg>
|
||||
Download Excel
|
||||
</div>
|
||||
</a>
|
||||
|
||||
<a href="/"
|
||||
class="inline-block px-10 py-3 bg-gradient-to-r from-yellow-400 to-orange-500 text-white rounded-[10px] hover:from-yellow-500 hover:to-orange-600 font-bold text-lg uppercase tracking-wide transition-all shadow-md hover:shadow-lg">
|
||||
Return Home
|
||||
</a>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
</html>
|
||||
227
update_excel.py
Normal file
227
update_excel.py
Normal file
@@ -0,0 +1,227 @@
|
||||
#!/usr/bin/env python3
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
import openpyxl
|
||||
from openpyxl.utils import get_column_letter
|
||||
|
||||
def update_excel_variables(excel_path):
|
||||
"""
|
||||
Update the Variables sheet in the Excel file with values from config.json
|
||||
and hide forecast sheets that aren't in the calculated years array.
|
||||
|
||||
This version uses openpyxl exclusively to preserve all formatting, formulas,
|
||||
and Excel features that xlsxwriter cannot handle when modifying existing files.
|
||||
|
||||
Args:
|
||||
excel_path (str): Path to the Excel file to update
|
||||
|
||||
Returns:
|
||||
bool: True if successful, False otherwise
|
||||
"""
|
||||
# Define paths
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
config_path = os.path.join(script_dir, 'config.json')
|
||||
|
||||
try:
|
||||
# Load config.json
|
||||
with open(config_path, 'r') as f:
|
||||
config = json.load(f)
|
||||
user_data = config.get('user_data', {})
|
||||
|
||||
# Load Excel workbook
|
||||
print(f"Opening Excel file: {excel_path}")
|
||||
wb = openpyxl.load_workbook(excel_path)
|
||||
|
||||
# Try to access the Variables sheet
|
||||
try:
|
||||
# First try by name
|
||||
sheet = wb['Variables']
|
||||
except KeyError:
|
||||
# If not found by name, try to access the last sheet
|
||||
sheet_names = wb.sheetnames
|
||||
if sheet_names:
|
||||
print(f"Variables sheet not found by name. Using last sheet: {sheet_names[-1]}")
|
||||
sheet = wb[sheet_names[-1]]
|
||||
else:
|
||||
print("No sheets found in the workbook")
|
||||
return False
|
||||
|
||||
# Map config variables to Excel cells based on the provided mapping
|
||||
cell_mappings = {
|
||||
'B2': user_data.get('store_name', ''),
|
||||
'B31': user_data.get('starting_date', ''),
|
||||
'B32': user_data.get('duration', 36),
|
||||
'B37': user_data.get('open_days_per_month', 0),
|
||||
|
||||
# Convenience store type
|
||||
'H37': user_data.get('convenience_store_type', {}).get('stores_number', 0),
|
||||
'C37': user_data.get('convenience_store_type', {}).get('monthly_transactions', 0),
|
||||
# Convert boolean to 1/0 for has_digital_screens
|
||||
'I37': 1 if user_data.get('convenience_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J37': user_data.get('convenience_store_type', {}).get('screen_count', 0),
|
||||
'K37': user_data.get('convenience_store_type', {}).get('screen_percentage', 0),
|
||||
# Convert boolean to 1/0 for has_in_store_radio
|
||||
'M37': 1 if user_data.get('convenience_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N37': user_data.get('convenience_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# Minimarket store type
|
||||
'H38': user_data.get('minimarket_store_type', {}).get('stores_number', 0),
|
||||
'C38': user_data.get('minimarket_store_type', {}).get('monthly_transactions', 0),
|
||||
# Convert boolean to 1/0 for has_digital_screens
|
||||
'I38': 1 if user_data.get('minimarket_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J38': user_data.get('minimarket_store_type', {}).get('screen_count', 0),
|
||||
'K38': user_data.get('minimarket_store_type', {}).get('screen_percentage', 0),
|
||||
# Convert boolean to 1/0 for has_in_store_radio
|
||||
'M38': 1 if user_data.get('minimarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N38': user_data.get('minimarket_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# Supermarket store type
|
||||
'H39': user_data.get('supermarket_store_type', {}).get('stores_number', 0),
|
||||
'C39': user_data.get('supermarket_store_type', {}).get('monthly_transactions', 0),
|
||||
# Convert boolean to 1/0 for has_digital_screens
|
||||
'I39': 1 if user_data.get('supermarket_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J39': user_data.get('supermarket_store_type', {}).get('screen_count', 0),
|
||||
'K39': user_data.get('supermarket_store_type', {}).get('screen_percentage', 0),
|
||||
# Convert boolean to 1/0 for has_in_store_radio
|
||||
'M39': 1 if user_data.get('supermarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N39': user_data.get('supermarket_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# Hypermarket store type
|
||||
'H40': user_data.get('hypermarket_store_type', {}).get('stores_number', 0),
|
||||
'C40': user_data.get('hypermarket_store_type', {}).get('monthly_transactions', 0),
|
||||
# Convert boolean to 1/0 for has_digital_screens
|
||||
'I40': 1 if user_data.get('hypermarket_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J40': user_data.get('hypermarket_store_type', {}).get('screen_count', 0),
|
||||
'K40': user_data.get('hypermarket_store_type', {}).get('screen_percentage', 0),
|
||||
# Convert boolean to 1/0 for has_in_store_radio
|
||||
'M40': 1 if user_data.get('hypermarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N40': user_data.get('hypermarket_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# On-site channels
|
||||
'B43': user_data.get('website_visitors', 0),
|
||||
'B44': user_data.get('app_users', 0),
|
||||
'B45': user_data.get('loyalty_users', 0),
|
||||
|
||||
# Off-site channels
|
||||
'B49': user_data.get('facebook_followers', 0),
|
||||
'B50': user_data.get('instagram_followers', 0),
|
||||
'B51': user_data.get('google_views', 0),
|
||||
'B52': user_data.get('email_subscribers', 0),
|
||||
'B53': user_data.get('sms_users', 0),
|
||||
'B54': user_data.get('whatsapp_contacts', 0)
|
||||
}
|
||||
|
||||
# Update the cells
|
||||
for cell_ref, value in cell_mappings.items():
|
||||
try:
|
||||
# Force the value to be set, even if the cell is protected or has data validation
|
||||
cell = sheet[cell_ref]
|
||||
cell.value = value
|
||||
print(f"Updated {cell_ref} with value: {value}")
|
||||
except Exception as e:
|
||||
print(f"Error updating cell {cell_ref}: {e}")
|
||||
|
||||
# Save the workbook with variables updated
|
||||
print("Saving workbook with updated variables...")
|
||||
wb.save(excel_path)
|
||||
|
||||
# Get the calculated years array from config
|
||||
starting_date = user_data.get('starting_date', '')
|
||||
duration = user_data.get('duration', 36)
|
||||
calculated_years = []
|
||||
|
||||
# Import datetime at the module level to avoid scope issues
|
||||
import datetime
|
||||
from dateutil.relativedelta import relativedelta
|
||||
|
||||
# Calculate years array based on starting_date and duration
|
||||
try:
|
||||
# Try to parse the date, supporting both dd/mm/yyyy and dd.mm.yyyy formats
|
||||
if starting_date:
|
||||
if '/' in str(starting_date):
|
||||
day, month, year = map(int, str(starting_date).split('/'))
|
||||
elif '.' in str(starting_date):
|
||||
day, month, year = map(int, str(starting_date).split('.'))
|
||||
elif '-' in str(starting_date):
|
||||
# Handle ISO format (yyyy-mm-dd)
|
||||
date_parts = str(starting_date).split('-')
|
||||
if len(date_parts) == 3:
|
||||
year, month, day = map(int, date_parts)
|
||||
else:
|
||||
# Default to current date if format is not recognized
|
||||
current_date = datetime.datetime.now()
|
||||
year, month, day = current_date.year, current_date.month, current_date.day
|
||||
elif isinstance(starting_date, datetime.datetime):
|
||||
day, month, year = starting_date.day, starting_date.month, starting_date.year
|
||||
else:
|
||||
# Default to current date if format is not recognized
|
||||
current_date = datetime.datetime.now()
|
||||
year, month, day = current_date.year, current_date.month, current_date.day
|
||||
|
||||
# Create datetime object for starting date
|
||||
start_date = datetime.datetime(year, month, day)
|
||||
|
||||
# Calculate end date (starting date + duration months - 1 day)
|
||||
end_date = start_date + relativedelta(months=duration-1)
|
||||
|
||||
# Create a set of years (to avoid duplicates)
|
||||
years_set = set()
|
||||
|
||||
# Add starting year
|
||||
years_set.add(start_date.year)
|
||||
|
||||
# Add ending year
|
||||
years_set.add(end_date.year)
|
||||
|
||||
# If there are years in between, add those too
|
||||
for y in range(start_date.year + 1, end_date.year):
|
||||
years_set.add(y)
|
||||
|
||||
# Convert set to sorted list
|
||||
calculated_years = sorted(list(years_set))
|
||||
print(f"Calculated years for sheet visibility: {calculated_years}")
|
||||
else:
|
||||
# Default to current year if no starting date
|
||||
calculated_years = [datetime.datetime.now().year]
|
||||
except Exception as e:
|
||||
print(f"Error calculating years for sheet visibility: {e}")
|
||||
calculated_years = [datetime.datetime.now().year]
|
||||
|
||||
# Hide forecast sheets that aren't in the calculated years array
|
||||
# No sheet renaming - just check existing sheet names
|
||||
for sheet_name in wb.sheetnames:
|
||||
# Check if this is a forecast sheet
|
||||
# Forecast sheets have names like "2025 – Forecast"
|
||||
if "Forecast" in sheet_name:
|
||||
# Extract the year from the sheet name
|
||||
try:
|
||||
sheet_year = int(sheet_name.split()[0])
|
||||
# Hide the sheet if its year is not in the calculated years
|
||||
if sheet_year not in calculated_years:
|
||||
sheet = wb[sheet_name]
|
||||
sheet.sheet_state = 'hidden'
|
||||
print(f"Hiding sheet '{sheet_name}' as year {sheet_year} is not in calculated years {calculated_years}")
|
||||
except Exception as e:
|
||||
print(f"Error extracting year from sheet name '{sheet_name}': {e}")
|
||||
|
||||
# Save the workbook with updated variables and hidden sheets
|
||||
print("Saving workbook with all updates...")
|
||||
wb.save(excel_path)
|
||||
|
||||
print(f"Excel file updated successfully: {excel_path}")
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error updating Excel file: {e}")
|
||||
return False
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# For testing purposes
|
||||
import sys
|
||||
if len(sys.argv) > 1:
|
||||
excel_path = sys.argv[1]
|
||||
update_excel_variables(excel_path)
|
||||
else:
|
||||
print("Please provide the path to the Excel file as an argument")
|
||||
225
update_excel_openpyxl.py
Normal file
225
update_excel_openpyxl.py
Normal file
@@ -0,0 +1,225 @@
|
||||
#!/usr/bin/env python3
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
import openpyxl
|
||||
from openpyxl.utils import get_column_letter
|
||||
# Removed zipfile import - no longer using direct XML manipulation
|
||||
|
||||
def update_excel_variables(excel_path):
|
||||
"""
|
||||
Update the Variables sheet in the Excel file with values from config.json
|
||||
and hide forecast sheets that aren't in the calculated years array
|
||||
|
||||
Args:
|
||||
excel_path (str): Path to the Excel file to update
|
||||
|
||||
Returns:
|
||||
bool: True if successful, False otherwise
|
||||
"""
|
||||
# Define paths
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
config_path = os.path.join(script_dir, 'config.json')
|
||||
|
||||
try:
|
||||
# Load config.json
|
||||
with open(config_path, 'r') as f:
|
||||
config = json.load(f)
|
||||
user_data = config.get('user_data', {})
|
||||
|
||||
# Load Excel workbook
|
||||
print(f"Opening Excel file: {excel_path}")
|
||||
wb = openpyxl.load_workbook(excel_path)
|
||||
|
||||
# Try to access the Variables sheet
|
||||
try:
|
||||
# First try by name
|
||||
sheet = wb['Variables']
|
||||
except KeyError:
|
||||
# If not found by name, try to access the last sheet
|
||||
sheet_names = wb.sheetnames
|
||||
if sheet_names:
|
||||
print(f"Variables sheet not found by name. Using last sheet: {sheet_names[-1]}")
|
||||
sheet = wb[sheet_names[-1]]
|
||||
else:
|
||||
print("No sheets found in the workbook")
|
||||
return False
|
||||
|
||||
# Map config variables to Excel cells based on the provided mapping
|
||||
cell_mappings = {
|
||||
'B2': user_data.get('store_name', ''),
|
||||
'B31': user_data.get('starting_date', ''),
|
||||
'B32': user_data.get('duration', 36),
|
||||
'B37': user_data.get('open_days_per_month', 0),
|
||||
|
||||
# Convenience store type
|
||||
'H37': user_data.get('convenience_store_type', {}).get('stores_number', 0),
|
||||
'C37': user_data.get('convenience_store_type', {}).get('monthly_transactions', 0),
|
||||
# Convert boolean to 1/0 for has_digital_screens
|
||||
'I37': 1 if user_data.get('convenience_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J37': user_data.get('convenience_store_type', {}).get('screen_count', 0),
|
||||
'K37': user_data.get('convenience_store_type', {}).get('screen_percentage', 0),
|
||||
# Convert boolean to 1/0 for has_in_store_radio
|
||||
'M37': 1 if user_data.get('convenience_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N37': user_data.get('convenience_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# Minimarket store type
|
||||
'H38': user_data.get('minimarket_store_type', {}).get('stores_number', 0),
|
||||
'C38': user_data.get('minimarket_store_type', {}).get('monthly_transactions', 0),
|
||||
# Convert boolean to 1/0 for has_digital_screens
|
||||
'I38': 1 if user_data.get('minimarket_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J38': user_data.get('minimarket_store_type', {}).get('screen_count', 0),
|
||||
'K38': user_data.get('minimarket_store_type', {}).get('screen_percentage', 0),
|
||||
# Convert boolean to 1/0 for has_in_store_radio
|
||||
'M38': 1 if user_data.get('minimarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N38': user_data.get('minimarket_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# Supermarket store type
|
||||
'H39': user_data.get('supermarket_store_type', {}).get('stores_number', 0),
|
||||
'C39': user_data.get('supermarket_store_type', {}).get('monthly_transactions', 0),
|
||||
# Convert boolean to 1/0 for has_digital_screens
|
||||
'I39': 1 if user_data.get('supermarket_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J39': user_data.get('supermarket_store_type', {}).get('screen_count', 0),
|
||||
'K39': user_data.get('supermarket_store_type', {}).get('screen_percentage', 0),
|
||||
# Convert boolean to 1/0 for has_in_store_radio
|
||||
'M39': 1 if user_data.get('supermarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N39': user_data.get('supermarket_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# Hypermarket store type
|
||||
'H40': user_data.get('hypermarket_store_type', {}).get('stores_number', 0),
|
||||
'C40': user_data.get('hypermarket_store_type', {}).get('monthly_transactions', 0),
|
||||
# Convert boolean to 1/0 for has_digital_screens
|
||||
'I40': 1 if user_data.get('hypermarket_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J40': user_data.get('hypermarket_store_type', {}).get('screen_count', 0),
|
||||
'K40': user_data.get('hypermarket_store_type', {}).get('screen_percentage', 0),
|
||||
# Convert boolean to 1/0 for has_in_store_radio
|
||||
'M40': 1 if user_data.get('hypermarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N40': user_data.get('hypermarket_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# On-site channels
|
||||
'B43': user_data.get('website_visitors', 0),
|
||||
'B44': user_data.get('app_users', 0),
|
||||
'B45': user_data.get('loyalty_users', 0),
|
||||
|
||||
# Off-site channels
|
||||
'B49': user_data.get('facebook_followers', 0),
|
||||
'B50': user_data.get('instagram_followers', 0),
|
||||
'B51': user_data.get('google_views', 0),
|
||||
'B52': user_data.get('email_subscribers', 0),
|
||||
'B53': user_data.get('sms_users', 0),
|
||||
'B54': user_data.get('whatsapp_contacts', 0)
|
||||
}
|
||||
|
||||
# Update the cells
|
||||
for cell_ref, value in cell_mappings.items():
|
||||
try:
|
||||
# Force the value to be set, even if the cell is protected or has data validation
|
||||
cell = sheet[cell_ref]
|
||||
cell.value = value
|
||||
print(f"Updated {cell_ref} with value: {value}")
|
||||
except Exception as e:
|
||||
print(f"Error updating cell {cell_ref}: {e}")
|
||||
|
||||
# Save the workbook with variables updated
|
||||
print("Saving workbook with updated variables...")
|
||||
wb.save(excel_path)
|
||||
|
||||
# Get the calculated years array from config
|
||||
starting_date = user_data.get('starting_date', '')
|
||||
duration = user_data.get('duration', 36)
|
||||
calculated_years = []
|
||||
|
||||
# Import datetime at the module level to avoid scope issues
|
||||
import datetime
|
||||
from dateutil.relativedelta import relativedelta
|
||||
|
||||
# Calculate years array based on starting_date and duration
|
||||
try:
|
||||
# Try to parse the date, supporting both dd/mm/yyyy and dd.mm.yyyy formats
|
||||
if starting_date:
|
||||
if '/' in str(starting_date):
|
||||
day, month, year = map(int, str(starting_date).split('/'))
|
||||
elif '.' in str(starting_date):
|
||||
day, month, year = map(int, str(starting_date).split('.'))
|
||||
elif '-' in str(starting_date):
|
||||
# Handle ISO format (yyyy-mm-dd)
|
||||
date_parts = str(starting_date).split('-')
|
||||
if len(date_parts) == 3:
|
||||
year, month, day = map(int, date_parts)
|
||||
else:
|
||||
# Default to current date if format is not recognized
|
||||
current_date = datetime.datetime.now()
|
||||
year, month, day = current_date.year, current_date.month, current_date.day
|
||||
elif isinstance(starting_date, datetime.datetime):
|
||||
day, month, year = starting_date.day, starting_date.month, starting_date.year
|
||||
else:
|
||||
# Default to current date if format is not recognized
|
||||
current_date = datetime.datetime.now()
|
||||
year, month, day = current_date.year, current_date.month, current_date.day
|
||||
|
||||
# Create datetime object for starting date
|
||||
start_date = datetime.datetime(year, month, day)
|
||||
|
||||
# Calculate end date (starting date + duration months - 1 day)
|
||||
end_date = start_date + relativedelta(months=duration-1)
|
||||
|
||||
# Create a set of years (to avoid duplicates)
|
||||
years_set = set()
|
||||
|
||||
# Add starting year
|
||||
years_set.add(start_date.year)
|
||||
|
||||
# Add ending year
|
||||
years_set.add(end_date.year)
|
||||
|
||||
# If there are years in between, add those too
|
||||
for y in range(start_date.year + 1, end_date.year):
|
||||
years_set.add(y)
|
||||
|
||||
# Convert set to sorted list
|
||||
calculated_years = sorted(list(years_set))
|
||||
print(f"Calculated years for sheet visibility: {calculated_years}")
|
||||
else:
|
||||
# Default to current year if no starting date
|
||||
calculated_years = [datetime.datetime.now().year]
|
||||
except Exception as e:
|
||||
print(f"Error calculating years for sheet visibility: {e}")
|
||||
calculated_years = [datetime.datetime.now().year]
|
||||
|
||||
# Hide forecast sheets that aren't in the calculated years array
|
||||
# No sheet renaming - just check existing sheet names
|
||||
for sheet_name in wb.sheetnames:
|
||||
# Check if this is a forecast sheet
|
||||
# Forecast sheets have names like "2025 – Forecast"
|
||||
if "Forecast" in sheet_name:
|
||||
# Extract the year from the sheet name
|
||||
try:
|
||||
sheet_year = int(sheet_name.split()[0])
|
||||
# Hide the sheet if its year is not in the calculated years
|
||||
if sheet_year not in calculated_years:
|
||||
sheet = wb[sheet_name]
|
||||
sheet.sheet_state = 'hidden'
|
||||
print(f"Hiding sheet '{sheet_name}' as year {sheet_year} is not in calculated years {calculated_years}")
|
||||
except Exception as e:
|
||||
print(f"Error extracting year from sheet name '{sheet_name}': {e}")
|
||||
|
||||
# Save the workbook with updated variables and hidden sheets
|
||||
print("Saving workbook with all updates...")
|
||||
wb.save(excel_path)
|
||||
|
||||
print(f"Excel file updated successfully: {excel_path}")
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error updating Excel file: {e}")
|
||||
return False
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# For testing purposes
|
||||
import sys
|
||||
if len(sys.argv) > 1:
|
||||
excel_path = sys.argv[1]
|
||||
update_excel_variables(excel_path)
|
||||
else:
|
||||
print("Please provide the path to the Excel file as an argument")
|
||||
229
update_excel_xlsxwriter.py
Normal file
229
update_excel_xlsxwriter.py
Normal file
@@ -0,0 +1,229 @@
|
||||
#!/usr/bin/env python3
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
import openpyxl
|
||||
from openpyxl.utils import get_column_letter
|
||||
|
||||
def update_excel_variables(excel_path):
|
||||
"""
|
||||
Update the Variables sheet in the Excel file with values from config.json
|
||||
and hide forecast sheets that aren't in the calculated years array.
|
||||
|
||||
This version uses openpyxl exclusively to preserve all formatting, formulas,
|
||||
and Excel features that xlsxwriter cannot handle when modifying existing files.
|
||||
While this is named "xlsxwriter", it actually uses openpyxl for the best
|
||||
approach to modify existing Excel files while preserving all features.
|
||||
|
||||
Args:
|
||||
excel_path (str): Path to the Excel file to update
|
||||
|
||||
Returns:
|
||||
bool: True if successful, False otherwise
|
||||
"""
|
||||
# Define paths
|
||||
script_dir = os.path.dirname(os.path.abspath(__file__))
|
||||
config_path = os.path.join(script_dir, 'config.json')
|
||||
|
||||
try:
|
||||
# Load config.json
|
||||
with open(config_path, 'r') as f:
|
||||
config = json.load(f)
|
||||
user_data = config.get('user_data', {})
|
||||
|
||||
# Load Excel workbook
|
||||
print(f"Opening Excel file: {excel_path}")
|
||||
wb = openpyxl.load_workbook(excel_path)
|
||||
|
||||
# Try to access the Variables sheet
|
||||
try:
|
||||
# First try by name
|
||||
sheet = wb['Variables']
|
||||
except KeyError:
|
||||
# If not found by name, try to access the last sheet
|
||||
sheet_names = wb.sheetnames
|
||||
if sheet_names:
|
||||
print(f"Variables sheet not found by name. Using last sheet: {sheet_names[-1]}")
|
||||
sheet = wb[sheet_names[-1]]
|
||||
else:
|
||||
print("No sheets found in the workbook")
|
||||
return False
|
||||
|
||||
# Map config variables to Excel cells based on the provided mapping
|
||||
cell_mappings = {
|
||||
'B2': user_data.get('store_name', ''),
|
||||
'B31': user_data.get('starting_date', ''),
|
||||
'B32': user_data.get('duration', 36),
|
||||
'B37': user_data.get('open_days_per_month', 0),
|
||||
|
||||
# Convenience store type
|
||||
'H37': user_data.get('convenience_store_type', {}).get('stores_number', 0),
|
||||
'C37': user_data.get('convenience_store_type', {}).get('monthly_transactions', 0),
|
||||
# Convert boolean to 1/0 for has_digital_screens
|
||||
'I37': 1 if user_data.get('convenience_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J37': user_data.get('convenience_store_type', {}).get('screen_count', 0),
|
||||
'K37': user_data.get('convenience_store_type', {}).get('screen_percentage', 0),
|
||||
# Convert boolean to 1/0 for has_in_store_radio
|
||||
'M37': 1 if user_data.get('convenience_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N37': user_data.get('convenience_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# Minimarket store type
|
||||
'H38': user_data.get('minimarket_store_type', {}).get('stores_number', 0),
|
||||
'C38': user_data.get('minimarket_store_type', {}).get('monthly_transactions', 0),
|
||||
# Convert boolean to 1/0 for has_digital_screens
|
||||
'I38': 1 if user_data.get('minimarket_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J38': user_data.get('minimarket_store_type', {}).get('screen_count', 0),
|
||||
'K38': user_data.get('minimarket_store_type', {}).get('screen_percentage', 0),
|
||||
# Convert boolean to 1/0 for has_in_store_radio
|
||||
'M38': 1 if user_data.get('minimarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N38': user_data.get('minimarket_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# Supermarket store type
|
||||
'H39': user_data.get('supermarket_store_type', {}).get('stores_number', 0),
|
||||
'C39': user_data.get('supermarket_store_type', {}).get('monthly_transactions', 0),
|
||||
# Convert boolean to 1/0 for has_digital_screens
|
||||
'I39': 1 if user_data.get('supermarket_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J39': user_data.get('supermarket_store_type', {}).get('screen_count', 0),
|
||||
'K39': user_data.get('supermarket_store_type', {}).get('screen_percentage', 0),
|
||||
# Convert boolean to 1/0 for has_in_store_radio
|
||||
'M39': 1 if user_data.get('supermarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N39': user_data.get('supermarket_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# Hypermarket store type
|
||||
'H40': user_data.get('hypermarket_store_type', {}).get('stores_number', 0),
|
||||
'C40': user_data.get('hypermarket_store_type', {}).get('monthly_transactions', 0),
|
||||
# Convert boolean to 1/0 for has_digital_screens
|
||||
'I40': 1 if user_data.get('hypermarket_store_type', {}).get('has_digital_screens', False) else 0,
|
||||
'J40': user_data.get('hypermarket_store_type', {}).get('screen_count', 0),
|
||||
'K40': user_data.get('hypermarket_store_type', {}).get('screen_percentage', 0),
|
||||
# Convert boolean to 1/0 for has_in_store_radio
|
||||
'M40': 1 if user_data.get('hypermarket_store_type', {}).get('has_in_store_radio', False) else 0,
|
||||
'N40': user_data.get('hypermarket_store_type', {}).get('radio_percentage', 0),
|
||||
|
||||
# On-site channels
|
||||
'B43': user_data.get('website_visitors', 0),
|
||||
'B44': user_data.get('app_users', 0),
|
||||
'B45': user_data.get('loyalty_users', 0),
|
||||
|
||||
# Off-site channels
|
||||
'B49': user_data.get('facebook_followers', 0),
|
||||
'B50': user_data.get('instagram_followers', 0),
|
||||
'B51': user_data.get('google_views', 0),
|
||||
'B52': user_data.get('email_subscribers', 0),
|
||||
'B53': user_data.get('sms_users', 0),
|
||||
'B54': user_data.get('whatsapp_contacts', 0)
|
||||
}
|
||||
|
||||
# Update the cells
|
||||
for cell_ref, value in cell_mappings.items():
|
||||
try:
|
||||
# Force the value to be set, even if the cell is protected or has data validation
|
||||
cell = sheet[cell_ref]
|
||||
cell.value = value
|
||||
print(f"Updated {cell_ref} with value: {value}")
|
||||
except Exception as e:
|
||||
print(f"Error updating cell {cell_ref}: {e}")
|
||||
|
||||
# Save the workbook with variables updated
|
||||
print("Saving workbook with updated variables...")
|
||||
wb.save(excel_path)
|
||||
|
||||
# Get the calculated years array from config
|
||||
starting_date = user_data.get('starting_date', '')
|
||||
duration = user_data.get('duration', 36)
|
||||
calculated_years = []
|
||||
|
||||
# Import datetime at the module level to avoid scope issues
|
||||
import datetime
|
||||
from dateutil.relativedelta import relativedelta
|
||||
|
||||
# Calculate years array based on starting_date and duration
|
||||
try:
|
||||
# Try to parse the date, supporting both dd/mm/yyyy and dd.mm.yyyy formats
|
||||
if starting_date:
|
||||
if '/' in str(starting_date):
|
||||
day, month, year = map(int, str(starting_date).split('/'))
|
||||
elif '.' in str(starting_date):
|
||||
day, month, year = map(int, str(starting_date).split('.'))
|
||||
elif '-' in str(starting_date):
|
||||
# Handle ISO format (yyyy-mm-dd)
|
||||
date_parts = str(starting_date).split('-')
|
||||
if len(date_parts) == 3:
|
||||
year, month, day = map(int, date_parts)
|
||||
else:
|
||||
# Default to current date if format is not recognized
|
||||
current_date = datetime.datetime.now()
|
||||
year, month, day = current_date.year, current_date.month, current_date.day
|
||||
elif isinstance(starting_date, datetime.datetime):
|
||||
day, month, year = starting_date.day, starting_date.month, starting_date.year
|
||||
else:
|
||||
# Default to current date if format is not recognized
|
||||
current_date = datetime.datetime.now()
|
||||
year, month, day = current_date.year, current_date.month, current_date.day
|
||||
|
||||
# Create datetime object for starting date
|
||||
start_date = datetime.datetime(year, month, day)
|
||||
|
||||
# Calculate end date (starting date + duration months - 1 day)
|
||||
end_date = start_date + relativedelta(months=duration-1)
|
||||
|
||||
# Create a set of years (to avoid duplicates)
|
||||
years_set = set()
|
||||
|
||||
# Add starting year
|
||||
years_set.add(start_date.year)
|
||||
|
||||
# Add ending year
|
||||
years_set.add(end_date.year)
|
||||
|
||||
# If there are years in between, add those too
|
||||
for y in range(start_date.year + 1, end_date.year):
|
||||
years_set.add(y)
|
||||
|
||||
# Convert set to sorted list
|
||||
calculated_years = sorted(list(years_set))
|
||||
print(f"Calculated years for sheet visibility: {calculated_years}")
|
||||
else:
|
||||
# Default to current year if no starting date
|
||||
calculated_years = [datetime.datetime.now().year]
|
||||
except Exception as e:
|
||||
print(f"Error calculating years for sheet visibility: {e}")
|
||||
calculated_years = [datetime.datetime.now().year]
|
||||
|
||||
# Hide forecast sheets that aren't in the calculated years array
|
||||
# No sheet renaming - just check existing sheet names
|
||||
for sheet_name in wb.sheetnames:
|
||||
# Check if this is a forecast sheet
|
||||
# Forecast sheets have names like "2025 – Forecast"
|
||||
if "Forecast" in sheet_name:
|
||||
# Extract the year from the sheet name
|
||||
try:
|
||||
sheet_year = int(sheet_name.split()[0])
|
||||
# Hide the sheet if its year is not in the calculated years
|
||||
if sheet_year not in calculated_years:
|
||||
sheet_obj = wb[sheet_name]
|
||||
sheet_obj.sheet_state = 'hidden'
|
||||
print(f"Hiding sheet '{sheet_name}' as year {sheet_year} is not in calculated years {calculated_years}")
|
||||
except Exception as e:
|
||||
print(f"Error extracting year from sheet name '{sheet_name}': {e}")
|
||||
|
||||
# Save the workbook with updated variables and hidden sheets
|
||||
print("Saving workbook with all updates...")
|
||||
wb.save(excel_path)
|
||||
|
||||
print(f"Excel file updated successfully: {excel_path}")
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error updating Excel file: {e}")
|
||||
return False
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# For testing purposes
|
||||
import sys
|
||||
if len(sys.argv) > 1:
|
||||
excel_path = sys.argv[1]
|
||||
update_excel_variables(excel_path)
|
||||
else:
|
||||
print("Please provide the path to the Excel file as an argument")
|
||||
247
venv/bin/Activate.ps1
Normal file
247
venv/bin/Activate.ps1
Normal file
@@ -0,0 +1,247 @@
|
||||
<#
|
||||
.Synopsis
|
||||
Activate a Python virtual environment for the current PowerShell session.
|
||||
|
||||
.Description
|
||||
Pushes the python executable for a virtual environment to the front of the
|
||||
$Env:PATH environment variable and sets the prompt to signify that you are
|
||||
in a Python virtual environment. Makes use of the command line switches as
|
||||
well as the `pyvenv.cfg` file values present in the virtual environment.
|
||||
|
||||
.Parameter VenvDir
|
||||
Path to the directory that contains the virtual environment to activate. The
|
||||
default value for this is the parent of the directory that the Activate.ps1
|
||||
script is located within.
|
||||
|
||||
.Parameter Prompt
|
||||
The prompt prefix to display when this virtual environment is activated. By
|
||||
default, this prompt is the name of the virtual environment folder (VenvDir)
|
||||
surrounded by parentheses and followed by a single space (ie. '(.venv) ').
|
||||
|
||||
.Example
|
||||
Activate.ps1
|
||||
Activates the Python virtual environment that contains the Activate.ps1 script.
|
||||
|
||||
.Example
|
||||
Activate.ps1 -Verbose
|
||||
Activates the Python virtual environment that contains the Activate.ps1 script,
|
||||
and shows extra information about the activation as it executes.
|
||||
|
||||
.Example
|
||||
Activate.ps1 -VenvDir C:\Users\MyUser\Common\.venv
|
||||
Activates the Python virtual environment located in the specified location.
|
||||
|
||||
.Example
|
||||
Activate.ps1 -Prompt "MyPython"
|
||||
Activates the Python virtual environment that contains the Activate.ps1 script,
|
||||
and prefixes the current prompt with the specified string (surrounded in
|
||||
parentheses) while the virtual environment is active.
|
||||
|
||||
.Notes
|
||||
On Windows, it may be required to enable this Activate.ps1 script by setting the
|
||||
execution policy for the user. You can do this by issuing the following PowerShell
|
||||
command:
|
||||
|
||||
PS C:\> Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
|
||||
|
||||
For more information on Execution Policies:
|
||||
https://go.microsoft.com/fwlink/?LinkID=135170
|
||||
|
||||
#>
|
||||
Param(
|
||||
[Parameter(Mandatory = $false)]
|
||||
[String]
|
||||
$VenvDir,
|
||||
[Parameter(Mandatory = $false)]
|
||||
[String]
|
||||
$Prompt
|
||||
)
|
||||
|
||||
<# Function declarations --------------------------------------------------- #>
|
||||
|
||||
<#
|
||||
.Synopsis
|
||||
Remove all shell session elements added by the Activate script, including the
|
||||
addition of the virtual environment's Python executable from the beginning of
|
||||
the PATH variable.
|
||||
|
||||
.Parameter NonDestructive
|
||||
If present, do not remove this function from the global namespace for the
|
||||
session.
|
||||
|
||||
#>
|
||||
function global:deactivate ([switch]$NonDestructive) {
|
||||
# Revert to original values
|
||||
|
||||
# The prior prompt:
|
||||
if (Test-Path -Path Function:_OLD_VIRTUAL_PROMPT) {
|
||||
Copy-Item -Path Function:_OLD_VIRTUAL_PROMPT -Destination Function:prompt
|
||||
Remove-Item -Path Function:_OLD_VIRTUAL_PROMPT
|
||||
}
|
||||
|
||||
# The prior PYTHONHOME:
|
||||
if (Test-Path -Path Env:_OLD_VIRTUAL_PYTHONHOME) {
|
||||
Copy-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME -Destination Env:PYTHONHOME
|
||||
Remove-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME
|
||||
}
|
||||
|
||||
# The prior PATH:
|
||||
if (Test-Path -Path Env:_OLD_VIRTUAL_PATH) {
|
||||
Copy-Item -Path Env:_OLD_VIRTUAL_PATH -Destination Env:PATH
|
||||
Remove-Item -Path Env:_OLD_VIRTUAL_PATH
|
||||
}
|
||||
|
||||
# Just remove the VIRTUAL_ENV altogether:
|
||||
if (Test-Path -Path Env:VIRTUAL_ENV) {
|
||||
Remove-Item -Path env:VIRTUAL_ENV
|
||||
}
|
||||
|
||||
# Just remove VIRTUAL_ENV_PROMPT altogether.
|
||||
if (Test-Path -Path Env:VIRTUAL_ENV_PROMPT) {
|
||||
Remove-Item -Path env:VIRTUAL_ENV_PROMPT
|
||||
}
|
||||
|
||||
# Just remove the _PYTHON_VENV_PROMPT_PREFIX altogether:
|
||||
if (Get-Variable -Name "_PYTHON_VENV_PROMPT_PREFIX" -ErrorAction SilentlyContinue) {
|
||||
Remove-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Scope Global -Force
|
||||
}
|
||||
|
||||
# Leave deactivate function in the global namespace if requested:
|
||||
if (-not $NonDestructive) {
|
||||
Remove-Item -Path function:deactivate
|
||||
}
|
||||
}
|
||||
|
||||
<#
|
||||
.Description
|
||||
Get-PyVenvConfig parses the values from the pyvenv.cfg file located in the
|
||||
given folder, and returns them in a map.
|
||||
|
||||
For each line in the pyvenv.cfg file, if that line can be parsed into exactly
|
||||
two strings separated by `=` (with any amount of whitespace surrounding the =)
|
||||
then it is considered a `key = value` line. The left hand string is the key,
|
||||
the right hand is the value.
|
||||
|
||||
If the value starts with a `'` or a `"` then the first and last character is
|
||||
stripped from the value before being captured.
|
||||
|
||||
.Parameter ConfigDir
|
||||
Path to the directory that contains the `pyvenv.cfg` file.
|
||||
#>
|
||||
function Get-PyVenvConfig(
|
||||
[String]
|
||||
$ConfigDir
|
||||
) {
|
||||
Write-Verbose "Given ConfigDir=$ConfigDir, obtain values in pyvenv.cfg"
|
||||
|
||||
# Ensure the file exists, and issue a warning if it doesn't (but still allow the function to continue).
|
||||
$pyvenvConfigPath = Join-Path -Resolve -Path $ConfigDir -ChildPath 'pyvenv.cfg' -ErrorAction Continue
|
||||
|
||||
# An empty map will be returned if no config file is found.
|
||||
$pyvenvConfig = @{ }
|
||||
|
||||
if ($pyvenvConfigPath) {
|
||||
|
||||
Write-Verbose "File exists, parse `key = value` lines"
|
||||
$pyvenvConfigContent = Get-Content -Path $pyvenvConfigPath
|
||||
|
||||
$pyvenvConfigContent | ForEach-Object {
|
||||
$keyval = $PSItem -split "\s*=\s*", 2
|
||||
if ($keyval[0] -and $keyval[1]) {
|
||||
$val = $keyval[1]
|
||||
|
||||
# Remove extraneous quotations around a string value.
|
||||
if ("'""".Contains($val.Substring(0, 1))) {
|
||||
$val = $val.Substring(1, $val.Length - 2)
|
||||
}
|
||||
|
||||
$pyvenvConfig[$keyval[0]] = $val
|
||||
Write-Verbose "Adding Key: '$($keyval[0])'='$val'"
|
||||
}
|
||||
}
|
||||
}
|
||||
return $pyvenvConfig
|
||||
}
|
||||
|
||||
|
||||
<# Begin Activate script --------------------------------------------------- #>
|
||||
|
||||
# Determine the containing directory of this script
|
||||
$VenvExecPath = Split-Path -Parent $MyInvocation.MyCommand.Definition
|
||||
$VenvExecDir = Get-Item -Path $VenvExecPath
|
||||
|
||||
Write-Verbose "Activation script is located in path: '$VenvExecPath'"
|
||||
Write-Verbose "VenvExecDir Fullname: '$($VenvExecDir.FullName)"
|
||||
Write-Verbose "VenvExecDir Name: '$($VenvExecDir.Name)"
|
||||
|
||||
# Set values required in priority: CmdLine, ConfigFile, Default
|
||||
# First, get the location of the virtual environment, it might not be
|
||||
# VenvExecDir if specified on the command line.
|
||||
if ($VenvDir) {
|
||||
Write-Verbose "VenvDir given as parameter, using '$VenvDir' to determine values"
|
||||
}
|
||||
else {
|
||||
Write-Verbose "VenvDir not given as a parameter, using parent directory name as VenvDir."
|
||||
$VenvDir = $VenvExecDir.Parent.FullName.TrimEnd("\\/")
|
||||
Write-Verbose "VenvDir=$VenvDir"
|
||||
}
|
||||
|
||||
# Next, read the `pyvenv.cfg` file to determine any required value such
|
||||
# as `prompt`.
|
||||
$pyvenvCfg = Get-PyVenvConfig -ConfigDir $VenvDir
|
||||
|
||||
# Next, set the prompt from the command line, or the config file, or
|
||||
# just use the name of the virtual environment folder.
|
||||
if ($Prompt) {
|
||||
Write-Verbose "Prompt specified as argument, using '$Prompt'"
|
||||
}
|
||||
else {
|
||||
Write-Verbose "Prompt not specified as argument to script, checking pyvenv.cfg value"
|
||||
if ($pyvenvCfg -and $pyvenvCfg['prompt']) {
|
||||
Write-Verbose " Setting based on value in pyvenv.cfg='$($pyvenvCfg['prompt'])'"
|
||||
$Prompt = $pyvenvCfg['prompt'];
|
||||
}
|
||||
else {
|
||||
Write-Verbose " Setting prompt based on parent's directory's name. (Is the directory name passed to venv module when creating the virtual environment)"
|
||||
Write-Verbose " Got leaf-name of $VenvDir='$(Split-Path -Path $venvDir -Leaf)'"
|
||||
$Prompt = Split-Path -Path $venvDir -Leaf
|
||||
}
|
||||
}
|
||||
|
||||
Write-Verbose "Prompt = '$Prompt'"
|
||||
Write-Verbose "VenvDir='$VenvDir'"
|
||||
|
||||
# Deactivate any currently active virtual environment, but leave the
|
||||
# deactivate function in place.
|
||||
deactivate -nondestructive
|
||||
|
||||
# Now set the environment variable VIRTUAL_ENV, used by many tools to determine
|
||||
# that there is an activated venv.
|
||||
$env:VIRTUAL_ENV = $VenvDir
|
||||
|
||||
if (-not $Env:VIRTUAL_ENV_DISABLE_PROMPT) {
|
||||
|
||||
Write-Verbose "Setting prompt to '$Prompt'"
|
||||
|
||||
# Set the prompt to include the env name
|
||||
# Make sure _OLD_VIRTUAL_PROMPT is global
|
||||
function global:_OLD_VIRTUAL_PROMPT { "" }
|
||||
Copy-Item -Path function:prompt -Destination function:_OLD_VIRTUAL_PROMPT
|
||||
New-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Description "Python virtual environment prompt prefix" -Scope Global -Option ReadOnly -Visibility Public -Value $Prompt
|
||||
|
||||
function global:prompt {
|
||||
Write-Host -NoNewline -ForegroundColor Green "($_PYTHON_VENV_PROMPT_PREFIX) "
|
||||
_OLD_VIRTUAL_PROMPT
|
||||
}
|
||||
$env:VIRTUAL_ENV_PROMPT = $Prompt
|
||||
}
|
||||
|
||||
# Clear PYTHONHOME
|
||||
if (Test-Path -Path Env:PYTHONHOME) {
|
||||
Copy-Item -Path Env:PYTHONHOME -Destination Env:_OLD_VIRTUAL_PYTHONHOME
|
||||
Remove-Item -Path Env:PYTHONHOME
|
||||
}
|
||||
|
||||
# Add the venv to the PATH
|
||||
Copy-Item -Path Env:PATH -Destination Env:_OLD_VIRTUAL_PATH
|
||||
$Env:PATH = "$VenvExecDir$([System.IO.Path]::PathSeparator)$Env:PATH"
|
||||
70
venv/bin/activate
Normal file
70
venv/bin/activate
Normal file
@@ -0,0 +1,70 @@
|
||||
# This file must be used with "source bin/activate" *from bash*
|
||||
# You cannot run it directly
|
||||
|
||||
deactivate () {
|
||||
# reset old environment variables
|
||||
if [ -n "${_OLD_VIRTUAL_PATH:-}" ] ; then
|
||||
PATH="${_OLD_VIRTUAL_PATH:-}"
|
||||
export PATH
|
||||
unset _OLD_VIRTUAL_PATH
|
||||
fi
|
||||
if [ -n "${_OLD_VIRTUAL_PYTHONHOME:-}" ] ; then
|
||||
PYTHONHOME="${_OLD_VIRTUAL_PYTHONHOME:-}"
|
||||
export PYTHONHOME
|
||||
unset _OLD_VIRTUAL_PYTHONHOME
|
||||
fi
|
||||
|
||||
# Call hash to forget past commands. Without forgetting
|
||||
# past commands the $PATH changes we made may not be respected
|
||||
hash -r 2> /dev/null
|
||||
|
||||
if [ -n "${_OLD_VIRTUAL_PS1:-}" ] ; then
|
||||
PS1="${_OLD_VIRTUAL_PS1:-}"
|
||||
export PS1
|
||||
unset _OLD_VIRTUAL_PS1
|
||||
fi
|
||||
|
||||
unset VIRTUAL_ENV
|
||||
unset VIRTUAL_ENV_PROMPT
|
||||
if [ ! "${1:-}" = "nondestructive" ] ; then
|
||||
# Self destruct!
|
||||
unset -f deactivate
|
||||
fi
|
||||
}
|
||||
|
||||
# unset irrelevant variables
|
||||
deactivate nondestructive
|
||||
|
||||
# on Windows, a path can contain colons and backslashes and has to be converted:
|
||||
if [ "${OSTYPE:-}" = "cygwin" ] || [ "${OSTYPE:-}" = "msys" ] ; then
|
||||
# transform D:\path\to\venv to /d/path/to/venv on MSYS
|
||||
# and to /cygdrive/d/path/to/venv on Cygwin
|
||||
export VIRTUAL_ENV=$(cygpath /home/pixot/business_case_form/venv)
|
||||
else
|
||||
# use the path as-is
|
||||
export VIRTUAL_ENV=/home/pixot/business_case_form/venv
|
||||
fi
|
||||
|
||||
_OLD_VIRTUAL_PATH="$PATH"
|
||||
PATH="$VIRTUAL_ENV/"bin":$PATH"
|
||||
export PATH
|
||||
|
||||
# unset PYTHONHOME if set
|
||||
# this will fail if PYTHONHOME is set to the empty string (which is bad anyway)
|
||||
# could use `if (set -u; : $PYTHONHOME) ;` in bash
|
||||
if [ -n "${PYTHONHOME:-}" ] ; then
|
||||
_OLD_VIRTUAL_PYTHONHOME="${PYTHONHOME:-}"
|
||||
unset PYTHONHOME
|
||||
fi
|
||||
|
||||
if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT:-}" ] ; then
|
||||
_OLD_VIRTUAL_PS1="${PS1:-}"
|
||||
PS1='(venv) '"${PS1:-}"
|
||||
export PS1
|
||||
VIRTUAL_ENV_PROMPT='(venv) '
|
||||
export VIRTUAL_ENV_PROMPT
|
||||
fi
|
||||
|
||||
# Call hash to forget past commands. Without forgetting
|
||||
# past commands the $PATH changes we made may not be respected
|
||||
hash -r 2> /dev/null
|
||||
27
venv/bin/activate.csh
Normal file
27
venv/bin/activate.csh
Normal file
@@ -0,0 +1,27 @@
|
||||
# This file must be used with "source bin/activate.csh" *from csh*.
|
||||
# You cannot run it directly.
|
||||
|
||||
# Created by Davide Di Blasi <davidedb@gmail.com>.
|
||||
# Ported to Python 3.3 venv by Andrew Svetlov <andrew.svetlov@gmail.com>
|
||||
|
||||
alias deactivate 'test $?_OLD_VIRTUAL_PATH != 0 && setenv PATH "$_OLD_VIRTUAL_PATH" && unset _OLD_VIRTUAL_PATH; rehash; test $?_OLD_VIRTUAL_PROMPT != 0 && set prompt="$_OLD_VIRTUAL_PROMPT" && unset _OLD_VIRTUAL_PROMPT; unsetenv VIRTUAL_ENV; unsetenv VIRTUAL_ENV_PROMPT; test "\!:*" != "nondestructive" && unalias deactivate'
|
||||
|
||||
# Unset irrelevant variables.
|
||||
deactivate nondestructive
|
||||
|
||||
setenv VIRTUAL_ENV /home/pixot/business_case_form/venv
|
||||
|
||||
set _OLD_VIRTUAL_PATH="$PATH"
|
||||
setenv PATH "$VIRTUAL_ENV/"bin":$PATH"
|
||||
|
||||
|
||||
set _OLD_VIRTUAL_PROMPT="$prompt"
|
||||
|
||||
if (! "$?VIRTUAL_ENV_DISABLE_PROMPT") then
|
||||
set prompt = '(venv) '"$prompt"
|
||||
setenv VIRTUAL_ENV_PROMPT '(venv) '
|
||||
endif
|
||||
|
||||
alias pydoc python -m pydoc
|
||||
|
||||
rehash
|
||||
69
venv/bin/activate.fish
Normal file
69
venv/bin/activate.fish
Normal file
@@ -0,0 +1,69 @@
|
||||
# This file must be used with "source <venv>/bin/activate.fish" *from fish*
|
||||
# (https://fishshell.com/). You cannot run it directly.
|
||||
|
||||
function deactivate -d "Exit virtual environment and return to normal shell environment"
|
||||
# reset old environment variables
|
||||
if test -n "$_OLD_VIRTUAL_PATH"
|
||||
set -gx PATH $_OLD_VIRTUAL_PATH
|
||||
set -e _OLD_VIRTUAL_PATH
|
||||
end
|
||||
if test -n "$_OLD_VIRTUAL_PYTHONHOME"
|
||||
set -gx PYTHONHOME $_OLD_VIRTUAL_PYTHONHOME
|
||||
set -e _OLD_VIRTUAL_PYTHONHOME
|
||||
end
|
||||
|
||||
if test -n "$_OLD_FISH_PROMPT_OVERRIDE"
|
||||
set -e _OLD_FISH_PROMPT_OVERRIDE
|
||||
# prevents error when using nested fish instances (Issue #93858)
|
||||
if functions -q _old_fish_prompt
|
||||
functions -e fish_prompt
|
||||
functions -c _old_fish_prompt fish_prompt
|
||||
functions -e _old_fish_prompt
|
||||
end
|
||||
end
|
||||
|
||||
set -e VIRTUAL_ENV
|
||||
set -e VIRTUAL_ENV_PROMPT
|
||||
if test "$argv[1]" != "nondestructive"
|
||||
# Self-destruct!
|
||||
functions -e deactivate
|
||||
end
|
||||
end
|
||||
|
||||
# Unset irrelevant variables.
|
||||
deactivate nondestructive
|
||||
|
||||
set -gx VIRTUAL_ENV /home/pixot/business_case_form/venv
|
||||
|
||||
set -gx _OLD_VIRTUAL_PATH $PATH
|
||||
set -gx PATH "$VIRTUAL_ENV/"bin $PATH
|
||||
|
||||
# Unset PYTHONHOME if set.
|
||||
if set -q PYTHONHOME
|
||||
set -gx _OLD_VIRTUAL_PYTHONHOME $PYTHONHOME
|
||||
set -e PYTHONHOME
|
||||
end
|
||||
|
||||
if test -z "$VIRTUAL_ENV_DISABLE_PROMPT"
|
||||
# fish uses a function instead of an env var to generate the prompt.
|
||||
|
||||
# Save the current fish_prompt function as the function _old_fish_prompt.
|
||||
functions -c fish_prompt _old_fish_prompt
|
||||
|
||||
# With the original prompt function renamed, we can override with our own.
|
||||
function fish_prompt
|
||||
# Save the return status of the last command.
|
||||
set -l old_status $status
|
||||
|
||||
# Output the venv prompt; color taken from the blue of the Python logo.
|
||||
printf "%s%s%s" (set_color 4B8BBE) '(venv) ' (set_color normal)
|
||||
|
||||
# Restore the return status of the previous command.
|
||||
echo "exit $old_status" | .
|
||||
# Output the original/"old" prompt.
|
||||
_old_fish_prompt
|
||||
end
|
||||
|
||||
set -gx _OLD_FISH_PROMPT_OVERRIDE "$VIRTUAL_ENV"
|
||||
set -gx VIRTUAL_ENV_PROMPT '(venv) '
|
||||
end
|
||||
8
venv/bin/pip
Executable file
8
venv/bin/pip
Executable file
@@ -0,0 +1,8 @@
|
||||
#!/home/pixot/business_case_form/venv/bin/python3
|
||||
# -*- coding: utf-8 -*-
|
||||
import re
|
||||
import sys
|
||||
from pip._internal.cli.main import main
|
||||
if __name__ == '__main__':
|
||||
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
|
||||
sys.exit(main())
|
||||
8
venv/bin/pip3
Executable file
8
venv/bin/pip3
Executable file
@@ -0,0 +1,8 @@
|
||||
#!/home/pixot/business_case_form/venv/bin/python3
|
||||
# -*- coding: utf-8 -*-
|
||||
import re
|
||||
import sys
|
||||
from pip._internal.cli.main import main
|
||||
if __name__ == '__main__':
|
||||
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
|
||||
sys.exit(main())
|
||||
8
venv/bin/pip3.12
Executable file
8
venv/bin/pip3.12
Executable file
@@ -0,0 +1,8 @@
|
||||
#!/home/pixot/business_case_form/venv/bin/python3
|
||||
# -*- coding: utf-8 -*-
|
||||
import re
|
||||
import sys
|
||||
from pip._internal.cli.main import main
|
||||
if __name__ == '__main__':
|
||||
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
|
||||
sys.exit(main())
|
||||
1
venv/bin/python
Symbolic link
1
venv/bin/python
Symbolic link
@@ -0,0 +1 @@
|
||||
python3
|
||||
1
venv/bin/python3
Symbolic link
1
venv/bin/python3
Symbolic link
@@ -0,0 +1 @@
|
||||
/usr/bin/python3
|
||||
1
venv/bin/python3.12
Symbolic link
1
venv/bin/python3.12
Symbolic link
@@ -0,0 +1 @@
|
||||
python3
|
||||
79
venv/bin/vba_extract.py
Executable file
79
venv/bin/vba_extract.py
Executable file
@@ -0,0 +1,79 @@
|
||||
#!/home/pixot/business_case_form/venv/bin/python3
|
||||
|
||||
##############################################################################
|
||||
#
|
||||
# vba_extract - A simple utility to extract a vbaProject.bin binary from an
|
||||
# Excel 2007+ xlsm file for insertion into an XlsxWriter file.
|
||||
#
|
||||
# SPDX-License-Identifier: BSD-2-Clause
|
||||
#
|
||||
# Copyright (c) 2013-2025, John McNamara, jmcnamara@cpan.org
|
||||
#
|
||||
|
||||
import sys
|
||||
from zipfile import BadZipFile, ZipFile
|
||||
|
||||
|
||||
def extract_file(xlsm_zip, filename):
|
||||
# Extract a single file from an Excel xlsm macro file.
|
||||
data = xlsm_zip.read("xl/" + filename)
|
||||
|
||||
# Write the data to a local file.
|
||||
file = open(filename, "wb")
|
||||
file.write(data)
|
||||
file.close()
|
||||
|
||||
|
||||
# The VBA project file and project signature file we want to extract.
|
||||
vba_filename = "vbaProject.bin"
|
||||
vba_signature_filename = "vbaProjectSignature.bin"
|
||||
|
||||
# Get the xlsm file name from the commandline.
|
||||
if len(sys.argv) > 1:
|
||||
xlsm_file = sys.argv[1]
|
||||
else:
|
||||
print(
|
||||
"\nUtility to extract a vbaProject.bin binary from an Excel 2007+ "
|
||||
"xlsm macro file for insertion into an XlsxWriter file.\n"
|
||||
"If the macros are digitally signed, extracts also a vbaProjectSignature.bin "
|
||||
"file.\n"
|
||||
"\n"
|
||||
"See: https://xlsxwriter.readthedocs.io/working_with_macros.html\n"
|
||||
"\n"
|
||||
"Usage: vba_extract file.xlsm\n"
|
||||
)
|
||||
sys.exit()
|
||||
|
||||
try:
|
||||
# Open the Excel xlsm file as a zip file.
|
||||
xlsm_zip = ZipFile(xlsm_file, "r")
|
||||
|
||||
# Read the xl/vbaProject.bin file.
|
||||
extract_file(xlsm_zip, vba_filename)
|
||||
print(f"Extracted: {vba_filename}")
|
||||
|
||||
if "xl/" + vba_signature_filename in xlsm_zip.namelist():
|
||||
extract_file(xlsm_zip, vba_signature_filename)
|
||||
print(f"Extracted: {vba_signature_filename}")
|
||||
|
||||
|
||||
except IOError as e:
|
||||
print(f"File error: {str(e)}")
|
||||
sys.exit()
|
||||
|
||||
except KeyError as e:
|
||||
# Usually when there isn't a xl/vbaProject.bin member in the file.
|
||||
print(f"File error: {str(e)}")
|
||||
print(f"File may not be an Excel xlsm macro file: '{xlsm_file}'")
|
||||
sys.exit()
|
||||
|
||||
except BadZipFile as e:
|
||||
# Usually if the file is an xls file and not an xlsm file.
|
||||
print(f"File error: {str(e)}: '{xlsm_file}'")
|
||||
print("File may not be an Excel xlsm macro file.")
|
||||
sys.exit()
|
||||
|
||||
except Exception as e:
|
||||
# Catch any other exceptions.
|
||||
print(f"File error: {str(e)}")
|
||||
sys.exit()
|
||||
24
venv/lib/python3.12/site-packages/dateutil/__init__.py
Normal file
24
venv/lib/python3.12/site-packages/dateutil/__init__.py
Normal file
@@ -0,0 +1,24 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
import sys
|
||||
|
||||
try:
|
||||
from ._version import version as __version__
|
||||
except ImportError:
|
||||
__version__ = 'unknown'
|
||||
|
||||
__all__ = ['easter', 'parser', 'relativedelta', 'rrule', 'tz',
|
||||
'utils', 'zoneinfo']
|
||||
|
||||
def __getattr__(name):
|
||||
import importlib
|
||||
|
||||
if name in __all__:
|
||||
return importlib.import_module("." + name, __name__)
|
||||
raise AttributeError(
|
||||
"module {!r} has not attribute {!r}".format(__name__, name)
|
||||
)
|
||||
|
||||
|
||||
def __dir__():
|
||||
# __dir__ should include all the lazy-importable modules as well.
|
||||
return [x for x in globals() if x not in sys.modules] + __all__
|
||||
43
venv/lib/python3.12/site-packages/dateutil/_common.py
Normal file
43
venv/lib/python3.12/site-packages/dateutil/_common.py
Normal file
@@ -0,0 +1,43 @@
|
||||
"""
|
||||
Common code used in multiple modules.
|
||||
"""
|
||||
|
||||
|
||||
class weekday(object):
|
||||
__slots__ = ["weekday", "n"]
|
||||
|
||||
def __init__(self, weekday, n=None):
|
||||
self.weekday = weekday
|
||||
self.n = n
|
||||
|
||||
def __call__(self, n):
|
||||
if n == self.n:
|
||||
return self
|
||||
else:
|
||||
return self.__class__(self.weekday, n)
|
||||
|
||||
def __eq__(self, other):
|
||||
try:
|
||||
if self.weekday != other.weekday or self.n != other.n:
|
||||
return False
|
||||
except AttributeError:
|
||||
return False
|
||||
return True
|
||||
|
||||
def __hash__(self):
|
||||
return hash((
|
||||
self.weekday,
|
||||
self.n,
|
||||
))
|
||||
|
||||
def __ne__(self, other):
|
||||
return not (self == other)
|
||||
|
||||
def __repr__(self):
|
||||
s = ("MO", "TU", "WE", "TH", "FR", "SA", "SU")[self.weekday]
|
||||
if not self.n:
|
||||
return s
|
||||
else:
|
||||
return "%s(%+d)" % (s, self.n)
|
||||
|
||||
# vim:ts=4:sw=4:et
|
||||
4
venv/lib/python3.12/site-packages/dateutil/_version.py
Normal file
4
venv/lib/python3.12/site-packages/dateutil/_version.py
Normal file
@@ -0,0 +1,4 @@
|
||||
# file generated by setuptools_scm
|
||||
# don't change, don't track in version control
|
||||
__version__ = version = '2.9.0.post0'
|
||||
__version_tuple__ = version_tuple = (2, 9, 0)
|
||||
89
venv/lib/python3.12/site-packages/dateutil/easter.py
Normal file
89
venv/lib/python3.12/site-packages/dateutil/easter.py
Normal file
@@ -0,0 +1,89 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
This module offers a generic Easter computing method for any given year, using
|
||||
Western, Orthodox or Julian algorithms.
|
||||
"""
|
||||
|
||||
import datetime
|
||||
|
||||
__all__ = ["easter", "EASTER_JULIAN", "EASTER_ORTHODOX", "EASTER_WESTERN"]
|
||||
|
||||
EASTER_JULIAN = 1
|
||||
EASTER_ORTHODOX = 2
|
||||
EASTER_WESTERN = 3
|
||||
|
||||
|
||||
def easter(year, method=EASTER_WESTERN):
|
||||
"""
|
||||
This method was ported from the work done by GM Arts,
|
||||
on top of the algorithm by Claus Tondering, which was
|
||||
based in part on the algorithm of Ouding (1940), as
|
||||
quoted in "Explanatory Supplement to the Astronomical
|
||||
Almanac", P. Kenneth Seidelmann, editor.
|
||||
|
||||
This algorithm implements three different Easter
|
||||
calculation methods:
|
||||
|
||||
1. Original calculation in Julian calendar, valid in
|
||||
dates after 326 AD
|
||||
2. Original method, with date converted to Gregorian
|
||||
calendar, valid in years 1583 to 4099
|
||||
3. Revised method, in Gregorian calendar, valid in
|
||||
years 1583 to 4099 as well
|
||||
|
||||
These methods are represented by the constants:
|
||||
|
||||
* ``EASTER_JULIAN = 1``
|
||||
* ``EASTER_ORTHODOX = 2``
|
||||
* ``EASTER_WESTERN = 3``
|
||||
|
||||
The default method is method 3.
|
||||
|
||||
More about the algorithm may be found at:
|
||||
|
||||
`GM Arts: Easter Algorithms <http://www.gmarts.org/index.php?go=415>`_
|
||||
|
||||
and
|
||||
|
||||
`The Calendar FAQ: Easter <https://www.tondering.dk/claus/cal/easter.php>`_
|
||||
|
||||
"""
|
||||
|
||||
if not (1 <= method <= 3):
|
||||
raise ValueError("invalid method")
|
||||
|
||||
# g - Golden year - 1
|
||||
# c - Century
|
||||
# h - (23 - Epact) mod 30
|
||||
# i - Number of days from March 21 to Paschal Full Moon
|
||||
# j - Weekday for PFM (0=Sunday, etc)
|
||||
# p - Number of days from March 21 to Sunday on or before PFM
|
||||
# (-6 to 28 methods 1 & 3, to 56 for method 2)
|
||||
# e - Extra days to add for method 2 (converting Julian
|
||||
# date to Gregorian date)
|
||||
|
||||
y = year
|
||||
g = y % 19
|
||||
e = 0
|
||||
if method < 3:
|
||||
# Old method
|
||||
i = (19*g + 15) % 30
|
||||
j = (y + y//4 + i) % 7
|
||||
if method == 2:
|
||||
# Extra dates to convert Julian to Gregorian date
|
||||
e = 10
|
||||
if y > 1600:
|
||||
e = e + y//100 - 16 - (y//100 - 16)//4
|
||||
else:
|
||||
# New method
|
||||
c = y//100
|
||||
h = (c - c//4 - (8*c + 13)//25 + 19*g + 15) % 30
|
||||
i = h - (h//28)*(1 - (h//28)*(29//(h + 1))*((21 - g)//11))
|
||||
j = (y + y//4 + i + 2 - c + c//4) % 7
|
||||
|
||||
# p can be from -6 to 56 corresponding to dates 22 March to 23 May
|
||||
# (later dates apply to method 2, although 23 May never actually occurs)
|
||||
p = i - j + e
|
||||
d = 1 + (p + 27 + (p + 6)//40) % 31
|
||||
m = 3 + (p + 26)//30
|
||||
return datetime.date(int(y), int(m), int(d))
|
||||
@@ -0,0 +1,61 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
from ._parser import parse, parser, parserinfo, ParserError
|
||||
from ._parser import DEFAULTPARSER, DEFAULTTZPARSER
|
||||
from ._parser import UnknownTimezoneWarning
|
||||
|
||||
from ._parser import __doc__
|
||||
|
||||
from .isoparser import isoparser, isoparse
|
||||
|
||||
__all__ = ['parse', 'parser', 'parserinfo',
|
||||
'isoparse', 'isoparser',
|
||||
'ParserError',
|
||||
'UnknownTimezoneWarning']
|
||||
|
||||
|
||||
###
|
||||
# Deprecate portions of the private interface so that downstream code that
|
||||
# is improperly relying on it is given *some* notice.
|
||||
|
||||
|
||||
def __deprecated_private_func(f):
|
||||
from functools import wraps
|
||||
import warnings
|
||||
|
||||
msg = ('{name} is a private function and may break without warning, '
|
||||
'it will be moved and or renamed in future versions.')
|
||||
msg = msg.format(name=f.__name__)
|
||||
|
||||
@wraps(f)
|
||||
def deprecated_func(*args, **kwargs):
|
||||
warnings.warn(msg, DeprecationWarning)
|
||||
return f(*args, **kwargs)
|
||||
|
||||
return deprecated_func
|
||||
|
||||
def __deprecate_private_class(c):
|
||||
import warnings
|
||||
|
||||
msg = ('{name} is a private class and may break without warning, '
|
||||
'it will be moved and or renamed in future versions.')
|
||||
msg = msg.format(name=c.__name__)
|
||||
|
||||
class private_class(c):
|
||||
__doc__ = c.__doc__
|
||||
|
||||
def __init__(self, *args, **kwargs):
|
||||
warnings.warn(msg, DeprecationWarning)
|
||||
super(private_class, self).__init__(*args, **kwargs)
|
||||
|
||||
private_class.__name__ = c.__name__
|
||||
|
||||
return private_class
|
||||
|
||||
|
||||
from ._parser import _timelex, _resultbase
|
||||
from ._parser import _tzparser, _parsetz
|
||||
|
||||
_timelex = __deprecate_private_class(_timelex)
|
||||
_tzparser = __deprecate_private_class(_tzparser)
|
||||
_resultbase = __deprecate_private_class(_resultbase)
|
||||
_parsetz = __deprecated_private_func(_parsetz)
|
||||
1613
venv/lib/python3.12/site-packages/dateutil/parser/_parser.py
Normal file
1613
venv/lib/python3.12/site-packages/dateutil/parser/_parser.py
Normal file
File diff suppressed because it is too large
Load Diff
416
venv/lib/python3.12/site-packages/dateutil/parser/isoparser.py
Normal file
416
venv/lib/python3.12/site-packages/dateutil/parser/isoparser.py
Normal file
@@ -0,0 +1,416 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
This module offers a parser for ISO-8601 strings
|
||||
|
||||
It is intended to support all valid date, time and datetime formats per the
|
||||
ISO-8601 specification.
|
||||
|
||||
..versionadded:: 2.7.0
|
||||
"""
|
||||
from datetime import datetime, timedelta, time, date
|
||||
import calendar
|
||||
from dateutil import tz
|
||||
|
||||
from functools import wraps
|
||||
|
||||
import re
|
||||
import six
|
||||
|
||||
__all__ = ["isoparse", "isoparser"]
|
||||
|
||||
|
||||
def _takes_ascii(f):
|
||||
@wraps(f)
|
||||
def func(self, str_in, *args, **kwargs):
|
||||
# If it's a stream, read the whole thing
|
||||
str_in = getattr(str_in, 'read', lambda: str_in)()
|
||||
|
||||
# If it's unicode, turn it into bytes, since ISO-8601 only covers ASCII
|
||||
if isinstance(str_in, six.text_type):
|
||||
# ASCII is the same in UTF-8
|
||||
try:
|
||||
str_in = str_in.encode('ascii')
|
||||
except UnicodeEncodeError as e:
|
||||
msg = 'ISO-8601 strings should contain only ASCII characters'
|
||||
six.raise_from(ValueError(msg), e)
|
||||
|
||||
return f(self, str_in, *args, **kwargs)
|
||||
|
||||
return func
|
||||
|
||||
|
||||
class isoparser(object):
|
||||
def __init__(self, sep=None):
|
||||
"""
|
||||
:param sep:
|
||||
A single character that separates date and time portions. If
|
||||
``None``, the parser will accept any single character.
|
||||
For strict ISO-8601 adherence, pass ``'T'``.
|
||||
"""
|
||||
if sep is not None:
|
||||
if (len(sep) != 1 or ord(sep) >= 128 or sep in '0123456789'):
|
||||
raise ValueError('Separator must be a single, non-numeric ' +
|
||||
'ASCII character')
|
||||
|
||||
sep = sep.encode('ascii')
|
||||
|
||||
self._sep = sep
|
||||
|
||||
@_takes_ascii
|
||||
def isoparse(self, dt_str):
|
||||
"""
|
||||
Parse an ISO-8601 datetime string into a :class:`datetime.datetime`.
|
||||
|
||||
An ISO-8601 datetime string consists of a date portion, followed
|
||||
optionally by a time portion - the date and time portions are separated
|
||||
by a single character separator, which is ``T`` in the official
|
||||
standard. Incomplete date formats (such as ``YYYY-MM``) may *not* be
|
||||
combined with a time portion.
|
||||
|
||||
Supported date formats are:
|
||||
|
||||
Common:
|
||||
|
||||
- ``YYYY``
|
||||
- ``YYYY-MM``
|
||||
- ``YYYY-MM-DD`` or ``YYYYMMDD``
|
||||
|
||||
Uncommon:
|
||||
|
||||
- ``YYYY-Www`` or ``YYYYWww`` - ISO week (day defaults to 0)
|
||||
- ``YYYY-Www-D`` or ``YYYYWwwD`` - ISO week and day
|
||||
|
||||
The ISO week and day numbering follows the same logic as
|
||||
:func:`datetime.date.isocalendar`.
|
||||
|
||||
Supported time formats are:
|
||||
|
||||
- ``hh``
|
||||
- ``hh:mm`` or ``hhmm``
|
||||
- ``hh:mm:ss`` or ``hhmmss``
|
||||
- ``hh:mm:ss.ssssss`` (Up to 6 sub-second digits)
|
||||
|
||||
Midnight is a special case for `hh`, as the standard supports both
|
||||
00:00 and 24:00 as a representation. The decimal separator can be
|
||||
either a dot or a comma.
|
||||
|
||||
|
||||
.. caution::
|
||||
|
||||
Support for fractional components other than seconds is part of the
|
||||
ISO-8601 standard, but is not currently implemented in this parser.
|
||||
|
||||
Supported time zone offset formats are:
|
||||
|
||||
- `Z` (UTC)
|
||||
- `±HH:MM`
|
||||
- `±HHMM`
|
||||
- `±HH`
|
||||
|
||||
Offsets will be represented as :class:`dateutil.tz.tzoffset` objects,
|
||||
with the exception of UTC, which will be represented as
|
||||
:class:`dateutil.tz.tzutc`. Time zone offsets equivalent to UTC (such
|
||||
as `+00:00`) will also be represented as :class:`dateutil.tz.tzutc`.
|
||||
|
||||
:param dt_str:
|
||||
A string or stream containing only an ISO-8601 datetime string
|
||||
|
||||
:return:
|
||||
Returns a :class:`datetime.datetime` representing the string.
|
||||
Unspecified components default to their lowest value.
|
||||
|
||||
.. warning::
|
||||
|
||||
As of version 2.7.0, the strictness of the parser should not be
|
||||
considered a stable part of the contract. Any valid ISO-8601 string
|
||||
that parses correctly with the default settings will continue to
|
||||
parse correctly in future versions, but invalid strings that
|
||||
currently fail (e.g. ``2017-01-01T00:00+00:00:00``) are not
|
||||
guaranteed to continue failing in future versions if they encode
|
||||
a valid date.
|
||||
|
||||
.. versionadded:: 2.7.0
|
||||
"""
|
||||
components, pos = self._parse_isodate(dt_str)
|
||||
|
||||
if len(dt_str) > pos:
|
||||
if self._sep is None or dt_str[pos:pos + 1] == self._sep:
|
||||
components += self._parse_isotime(dt_str[pos + 1:])
|
||||
else:
|
||||
raise ValueError('String contains unknown ISO components')
|
||||
|
||||
if len(components) > 3 and components[3] == 24:
|
||||
components[3] = 0
|
||||
return datetime(*components) + timedelta(days=1)
|
||||
|
||||
return datetime(*components)
|
||||
|
||||
@_takes_ascii
|
||||
def parse_isodate(self, datestr):
|
||||
"""
|
||||
Parse the date portion of an ISO string.
|
||||
|
||||
:param datestr:
|
||||
The string portion of an ISO string, without a separator
|
||||
|
||||
:return:
|
||||
Returns a :class:`datetime.date` object
|
||||
"""
|
||||
components, pos = self._parse_isodate(datestr)
|
||||
if pos < len(datestr):
|
||||
raise ValueError('String contains unknown ISO ' +
|
||||
'components: {!r}'.format(datestr.decode('ascii')))
|
||||
return date(*components)
|
||||
|
||||
@_takes_ascii
|
||||
def parse_isotime(self, timestr):
|
||||
"""
|
||||
Parse the time portion of an ISO string.
|
||||
|
||||
:param timestr:
|
||||
The time portion of an ISO string, without a separator
|
||||
|
||||
:return:
|
||||
Returns a :class:`datetime.time` object
|
||||
"""
|
||||
components = self._parse_isotime(timestr)
|
||||
if components[0] == 24:
|
||||
components[0] = 0
|
||||
return time(*components)
|
||||
|
||||
@_takes_ascii
|
||||
def parse_tzstr(self, tzstr, zero_as_utc=True):
|
||||
"""
|
||||
Parse a valid ISO time zone string.
|
||||
|
||||
See :func:`isoparser.isoparse` for details on supported formats.
|
||||
|
||||
:param tzstr:
|
||||
A string representing an ISO time zone offset
|
||||
|
||||
:param zero_as_utc:
|
||||
Whether to return :class:`dateutil.tz.tzutc` for zero-offset zones
|
||||
|
||||
:return:
|
||||
Returns :class:`dateutil.tz.tzoffset` for offsets and
|
||||
:class:`dateutil.tz.tzutc` for ``Z`` and (if ``zero_as_utc`` is
|
||||
specified) offsets equivalent to UTC.
|
||||
"""
|
||||
return self._parse_tzstr(tzstr, zero_as_utc=zero_as_utc)
|
||||
|
||||
# Constants
|
||||
_DATE_SEP = b'-'
|
||||
_TIME_SEP = b':'
|
||||
_FRACTION_REGEX = re.compile(b'[\\.,]([0-9]+)')
|
||||
|
||||
def _parse_isodate(self, dt_str):
|
||||
try:
|
||||
return self._parse_isodate_common(dt_str)
|
||||
except ValueError:
|
||||
return self._parse_isodate_uncommon(dt_str)
|
||||
|
||||
def _parse_isodate_common(self, dt_str):
|
||||
len_str = len(dt_str)
|
||||
components = [1, 1, 1]
|
||||
|
||||
if len_str < 4:
|
||||
raise ValueError('ISO string too short')
|
||||
|
||||
# Year
|
||||
components[0] = int(dt_str[0:4])
|
||||
pos = 4
|
||||
if pos >= len_str:
|
||||
return components, pos
|
||||
|
||||
has_sep = dt_str[pos:pos + 1] == self._DATE_SEP
|
||||
if has_sep:
|
||||
pos += 1
|
||||
|
||||
# Month
|
||||
if len_str - pos < 2:
|
||||
raise ValueError('Invalid common month')
|
||||
|
||||
components[1] = int(dt_str[pos:pos + 2])
|
||||
pos += 2
|
||||
|
||||
if pos >= len_str:
|
||||
if has_sep:
|
||||
return components, pos
|
||||
else:
|
||||
raise ValueError('Invalid ISO format')
|
||||
|
||||
if has_sep:
|
||||
if dt_str[pos:pos + 1] != self._DATE_SEP:
|
||||
raise ValueError('Invalid separator in ISO string')
|
||||
pos += 1
|
||||
|
||||
# Day
|
||||
if len_str - pos < 2:
|
||||
raise ValueError('Invalid common day')
|
||||
components[2] = int(dt_str[pos:pos + 2])
|
||||
return components, pos + 2
|
||||
|
||||
def _parse_isodate_uncommon(self, dt_str):
|
||||
if len(dt_str) < 4:
|
||||
raise ValueError('ISO string too short')
|
||||
|
||||
# All ISO formats start with the year
|
||||
year = int(dt_str[0:4])
|
||||
|
||||
has_sep = dt_str[4:5] == self._DATE_SEP
|
||||
|
||||
pos = 4 + has_sep # Skip '-' if it's there
|
||||
if dt_str[pos:pos + 1] == b'W':
|
||||
# YYYY-?Www-?D?
|
||||
pos += 1
|
||||
weekno = int(dt_str[pos:pos + 2])
|
||||
pos += 2
|
||||
|
||||
dayno = 1
|
||||
if len(dt_str) > pos:
|
||||
if (dt_str[pos:pos + 1] == self._DATE_SEP) != has_sep:
|
||||
raise ValueError('Inconsistent use of dash separator')
|
||||
|
||||
pos += has_sep
|
||||
|
||||
dayno = int(dt_str[pos:pos + 1])
|
||||
pos += 1
|
||||
|
||||
base_date = self._calculate_weekdate(year, weekno, dayno)
|
||||
else:
|
||||
# YYYYDDD or YYYY-DDD
|
||||
if len(dt_str) - pos < 3:
|
||||
raise ValueError('Invalid ordinal day')
|
||||
|
||||
ordinal_day = int(dt_str[pos:pos + 3])
|
||||
pos += 3
|
||||
|
||||
if ordinal_day < 1 or ordinal_day > (365 + calendar.isleap(year)):
|
||||
raise ValueError('Invalid ordinal day' +
|
||||
' {} for year {}'.format(ordinal_day, year))
|
||||
|
||||
base_date = date(year, 1, 1) + timedelta(days=ordinal_day - 1)
|
||||
|
||||
components = [base_date.year, base_date.month, base_date.day]
|
||||
return components, pos
|
||||
|
||||
def _calculate_weekdate(self, year, week, day):
|
||||
"""
|
||||
Calculate the day of corresponding to the ISO year-week-day calendar.
|
||||
|
||||
This function is effectively the inverse of
|
||||
:func:`datetime.date.isocalendar`.
|
||||
|
||||
:param year:
|
||||
The year in the ISO calendar
|
||||
|
||||
:param week:
|
||||
The week in the ISO calendar - range is [1, 53]
|
||||
|
||||
:param day:
|
||||
The day in the ISO calendar - range is [1 (MON), 7 (SUN)]
|
||||
|
||||
:return:
|
||||
Returns a :class:`datetime.date`
|
||||
"""
|
||||
if not 0 < week < 54:
|
||||
raise ValueError('Invalid week: {}'.format(week))
|
||||
|
||||
if not 0 < day < 8: # Range is 1-7
|
||||
raise ValueError('Invalid weekday: {}'.format(day))
|
||||
|
||||
# Get week 1 for the specific year:
|
||||
jan_4 = date(year, 1, 4) # Week 1 always has January 4th in it
|
||||
week_1 = jan_4 - timedelta(days=jan_4.isocalendar()[2] - 1)
|
||||
|
||||
# Now add the specific number of weeks and days to get what we want
|
||||
week_offset = (week - 1) * 7 + (day - 1)
|
||||
return week_1 + timedelta(days=week_offset)
|
||||
|
||||
def _parse_isotime(self, timestr):
|
||||
len_str = len(timestr)
|
||||
components = [0, 0, 0, 0, None]
|
||||
pos = 0
|
||||
comp = -1
|
||||
|
||||
if len_str < 2:
|
||||
raise ValueError('ISO time too short')
|
||||
|
||||
has_sep = False
|
||||
|
||||
while pos < len_str and comp < 5:
|
||||
comp += 1
|
||||
|
||||
if timestr[pos:pos + 1] in b'-+Zz':
|
||||
# Detect time zone boundary
|
||||
components[-1] = self._parse_tzstr(timestr[pos:])
|
||||
pos = len_str
|
||||
break
|
||||
|
||||
if comp == 1 and timestr[pos:pos+1] == self._TIME_SEP:
|
||||
has_sep = True
|
||||
pos += 1
|
||||
elif comp == 2 and has_sep:
|
||||
if timestr[pos:pos+1] != self._TIME_SEP:
|
||||
raise ValueError('Inconsistent use of colon separator')
|
||||
pos += 1
|
||||
|
||||
if comp < 3:
|
||||
# Hour, minute, second
|
||||
components[comp] = int(timestr[pos:pos + 2])
|
||||
pos += 2
|
||||
|
||||
if comp == 3:
|
||||
# Fraction of a second
|
||||
frac = self._FRACTION_REGEX.match(timestr[pos:])
|
||||
if not frac:
|
||||
continue
|
||||
|
||||
us_str = frac.group(1)[:6] # Truncate to microseconds
|
||||
components[comp] = int(us_str) * 10**(6 - len(us_str))
|
||||
pos += len(frac.group())
|
||||
|
||||
if pos < len_str:
|
||||
raise ValueError('Unused components in ISO string')
|
||||
|
||||
if components[0] == 24:
|
||||
# Standard supports 00:00 and 24:00 as representations of midnight
|
||||
if any(component != 0 for component in components[1:4]):
|
||||
raise ValueError('Hour may only be 24 at 24:00:00.000')
|
||||
|
||||
return components
|
||||
|
||||
def _parse_tzstr(self, tzstr, zero_as_utc=True):
|
||||
if tzstr == b'Z' or tzstr == b'z':
|
||||
return tz.UTC
|
||||
|
||||
if len(tzstr) not in {3, 5, 6}:
|
||||
raise ValueError('Time zone offset must be 1, 3, 5 or 6 characters')
|
||||
|
||||
if tzstr[0:1] == b'-':
|
||||
mult = -1
|
||||
elif tzstr[0:1] == b'+':
|
||||
mult = 1
|
||||
else:
|
||||
raise ValueError('Time zone offset requires sign')
|
||||
|
||||
hours = int(tzstr[1:3])
|
||||
if len(tzstr) == 3:
|
||||
minutes = 0
|
||||
else:
|
||||
minutes = int(tzstr[(4 if tzstr[3:4] == self._TIME_SEP else 3):])
|
||||
|
||||
if zero_as_utc and hours == 0 and minutes == 0:
|
||||
return tz.UTC
|
||||
else:
|
||||
if minutes > 59:
|
||||
raise ValueError('Invalid minutes in time zone offset')
|
||||
|
||||
if hours > 23:
|
||||
raise ValueError('Invalid hours in time zone offset')
|
||||
|
||||
return tz.tzoffset(None, mult * (hours * 60 + minutes) * 60)
|
||||
|
||||
|
||||
DEFAULT_ISOPARSER = isoparser()
|
||||
isoparse = DEFAULT_ISOPARSER.isoparse
|
||||
599
venv/lib/python3.12/site-packages/dateutil/relativedelta.py
Normal file
599
venv/lib/python3.12/site-packages/dateutil/relativedelta.py
Normal file
@@ -0,0 +1,599 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
import datetime
|
||||
import calendar
|
||||
|
||||
import operator
|
||||
from math import copysign
|
||||
|
||||
from six import integer_types
|
||||
from warnings import warn
|
||||
|
||||
from ._common import weekday
|
||||
|
||||
MO, TU, WE, TH, FR, SA, SU = weekdays = tuple(weekday(x) for x in range(7))
|
||||
|
||||
__all__ = ["relativedelta", "MO", "TU", "WE", "TH", "FR", "SA", "SU"]
|
||||
|
||||
|
||||
class relativedelta(object):
|
||||
"""
|
||||
The relativedelta type is designed to be applied to an existing datetime and
|
||||
can replace specific components of that datetime, or represents an interval
|
||||
of time.
|
||||
|
||||
It is based on the specification of the excellent work done by M.-A. Lemburg
|
||||
in his
|
||||
`mx.DateTime <https://www.egenix.com/products/python/mxBase/mxDateTime/>`_ extension.
|
||||
However, notice that this type does *NOT* implement the same algorithm as
|
||||
his work. Do *NOT* expect it to behave like mx.DateTime's counterpart.
|
||||
|
||||
There are two different ways to build a relativedelta instance. The
|
||||
first one is passing it two date/datetime classes::
|
||||
|
||||
relativedelta(datetime1, datetime2)
|
||||
|
||||
The second one is passing it any number of the following keyword arguments::
|
||||
|
||||
relativedelta(arg1=x,arg2=y,arg3=z...)
|
||||
|
||||
year, month, day, hour, minute, second, microsecond:
|
||||
Absolute information (argument is singular); adding or subtracting a
|
||||
relativedelta with absolute information does not perform an arithmetic
|
||||
operation, but rather REPLACES the corresponding value in the
|
||||
original datetime with the value(s) in relativedelta.
|
||||
|
||||
years, months, weeks, days, hours, minutes, seconds, microseconds:
|
||||
Relative information, may be negative (argument is plural); adding
|
||||
or subtracting a relativedelta with relative information performs
|
||||
the corresponding arithmetic operation on the original datetime value
|
||||
with the information in the relativedelta.
|
||||
|
||||
weekday:
|
||||
One of the weekday instances (MO, TU, etc) available in the
|
||||
relativedelta module. These instances may receive a parameter N,
|
||||
specifying the Nth weekday, which could be positive or negative
|
||||
(like MO(+1) or MO(-2)). Not specifying it is the same as specifying
|
||||
+1. You can also use an integer, where 0=MO. This argument is always
|
||||
relative e.g. if the calculated date is already Monday, using MO(1)
|
||||
or MO(-1) won't change the day. To effectively make it absolute, use
|
||||
it in combination with the day argument (e.g. day=1, MO(1) for first
|
||||
Monday of the month).
|
||||
|
||||
leapdays:
|
||||
Will add given days to the date found, if year is a leap
|
||||
year, and the date found is post 28 of february.
|
||||
|
||||
yearday, nlyearday:
|
||||
Set the yearday or the non-leap year day (jump leap days).
|
||||
These are converted to day/month/leapdays information.
|
||||
|
||||
There are relative and absolute forms of the keyword
|
||||
arguments. The plural is relative, and the singular is
|
||||
absolute. For each argument in the order below, the absolute form
|
||||
is applied first (by setting each attribute to that value) and
|
||||
then the relative form (by adding the value to the attribute).
|
||||
|
||||
The order of attributes considered when this relativedelta is
|
||||
added to a datetime is:
|
||||
|
||||
1. Year
|
||||
2. Month
|
||||
3. Day
|
||||
4. Hours
|
||||
5. Minutes
|
||||
6. Seconds
|
||||
7. Microseconds
|
||||
|
||||
Finally, weekday is applied, using the rule described above.
|
||||
|
||||
For example
|
||||
|
||||
>>> from datetime import datetime
|
||||
>>> from dateutil.relativedelta import relativedelta, MO
|
||||
>>> dt = datetime(2018, 4, 9, 13, 37, 0)
|
||||
>>> delta = relativedelta(hours=25, day=1, weekday=MO(1))
|
||||
>>> dt + delta
|
||||
datetime.datetime(2018, 4, 2, 14, 37)
|
||||
|
||||
First, the day is set to 1 (the first of the month), then 25 hours
|
||||
are added, to get to the 2nd day and 14th hour, finally the
|
||||
weekday is applied, but since the 2nd is already a Monday there is
|
||||
no effect.
|
||||
|
||||
"""
|
||||
|
||||
def __init__(self, dt1=None, dt2=None,
|
||||
years=0, months=0, days=0, leapdays=0, weeks=0,
|
||||
hours=0, minutes=0, seconds=0, microseconds=0,
|
||||
year=None, month=None, day=None, weekday=None,
|
||||
yearday=None, nlyearday=None,
|
||||
hour=None, minute=None, second=None, microsecond=None):
|
||||
|
||||
if dt1 and dt2:
|
||||
# datetime is a subclass of date. So both must be date
|
||||
if not (isinstance(dt1, datetime.date) and
|
||||
isinstance(dt2, datetime.date)):
|
||||
raise TypeError("relativedelta only diffs datetime/date")
|
||||
|
||||
# We allow two dates, or two datetimes, so we coerce them to be
|
||||
# of the same type
|
||||
if (isinstance(dt1, datetime.datetime) !=
|
||||
isinstance(dt2, datetime.datetime)):
|
||||
if not isinstance(dt1, datetime.datetime):
|
||||
dt1 = datetime.datetime.fromordinal(dt1.toordinal())
|
||||
elif not isinstance(dt2, datetime.datetime):
|
||||
dt2 = datetime.datetime.fromordinal(dt2.toordinal())
|
||||
|
||||
self.years = 0
|
||||
self.months = 0
|
||||
self.days = 0
|
||||
self.leapdays = 0
|
||||
self.hours = 0
|
||||
self.minutes = 0
|
||||
self.seconds = 0
|
||||
self.microseconds = 0
|
||||
self.year = None
|
||||
self.month = None
|
||||
self.day = None
|
||||
self.weekday = None
|
||||
self.hour = None
|
||||
self.minute = None
|
||||
self.second = None
|
||||
self.microsecond = None
|
||||
self._has_time = 0
|
||||
|
||||
# Get year / month delta between the two
|
||||
months = (dt1.year - dt2.year) * 12 + (dt1.month - dt2.month)
|
||||
self._set_months(months)
|
||||
|
||||
# Remove the year/month delta so the timedelta is just well-defined
|
||||
# time units (seconds, days and microseconds)
|
||||
dtm = self.__radd__(dt2)
|
||||
|
||||
# If we've overshot our target, make an adjustment
|
||||
if dt1 < dt2:
|
||||
compare = operator.gt
|
||||
increment = 1
|
||||
else:
|
||||
compare = operator.lt
|
||||
increment = -1
|
||||
|
||||
while compare(dt1, dtm):
|
||||
months += increment
|
||||
self._set_months(months)
|
||||
dtm = self.__radd__(dt2)
|
||||
|
||||
# Get the timedelta between the "months-adjusted" date and dt1
|
||||
delta = dt1 - dtm
|
||||
self.seconds = delta.seconds + delta.days * 86400
|
||||
self.microseconds = delta.microseconds
|
||||
else:
|
||||
# Check for non-integer values in integer-only quantities
|
||||
if any(x is not None and x != int(x) for x in (years, months)):
|
||||
raise ValueError("Non-integer years and months are "
|
||||
"ambiguous and not currently supported.")
|
||||
|
||||
# Relative information
|
||||
self.years = int(years)
|
||||
self.months = int(months)
|
||||
self.days = days + weeks * 7
|
||||
self.leapdays = leapdays
|
||||
self.hours = hours
|
||||
self.minutes = minutes
|
||||
self.seconds = seconds
|
||||
self.microseconds = microseconds
|
||||
|
||||
# Absolute information
|
||||
self.year = year
|
||||
self.month = month
|
||||
self.day = day
|
||||
self.hour = hour
|
||||
self.minute = minute
|
||||
self.second = second
|
||||
self.microsecond = microsecond
|
||||
|
||||
if any(x is not None and int(x) != x
|
||||
for x in (year, month, day, hour,
|
||||
minute, second, microsecond)):
|
||||
# For now we'll deprecate floats - later it'll be an error.
|
||||
warn("Non-integer value passed as absolute information. " +
|
||||
"This is not a well-defined condition and will raise " +
|
||||
"errors in future versions.", DeprecationWarning)
|
||||
|
||||
if isinstance(weekday, integer_types):
|
||||
self.weekday = weekdays[weekday]
|
||||
else:
|
||||
self.weekday = weekday
|
||||
|
||||
yday = 0
|
||||
if nlyearday:
|
||||
yday = nlyearday
|
||||
elif yearday:
|
||||
yday = yearday
|
||||
if yearday > 59:
|
||||
self.leapdays = -1
|
||||
if yday:
|
||||
ydayidx = [31, 59, 90, 120, 151, 181, 212,
|
||||
243, 273, 304, 334, 366]
|
||||
for idx, ydays in enumerate(ydayidx):
|
||||
if yday <= ydays:
|
||||
self.month = idx+1
|
||||
if idx == 0:
|
||||
self.day = yday
|
||||
else:
|
||||
self.day = yday-ydayidx[idx-1]
|
||||
break
|
||||
else:
|
||||
raise ValueError("invalid year day (%d)" % yday)
|
||||
|
||||
self._fix()
|
||||
|
||||
def _fix(self):
|
||||
if abs(self.microseconds) > 999999:
|
||||
s = _sign(self.microseconds)
|
||||
div, mod = divmod(self.microseconds * s, 1000000)
|
||||
self.microseconds = mod * s
|
||||
self.seconds += div * s
|
||||
if abs(self.seconds) > 59:
|
||||
s = _sign(self.seconds)
|
||||
div, mod = divmod(self.seconds * s, 60)
|
||||
self.seconds = mod * s
|
||||
self.minutes += div * s
|
||||
if abs(self.minutes) > 59:
|
||||
s = _sign(self.minutes)
|
||||
div, mod = divmod(self.minutes * s, 60)
|
||||
self.minutes = mod * s
|
||||
self.hours += div * s
|
||||
if abs(self.hours) > 23:
|
||||
s = _sign(self.hours)
|
||||
div, mod = divmod(self.hours * s, 24)
|
||||
self.hours = mod * s
|
||||
self.days += div * s
|
||||
if abs(self.months) > 11:
|
||||
s = _sign(self.months)
|
||||
div, mod = divmod(self.months * s, 12)
|
||||
self.months = mod * s
|
||||
self.years += div * s
|
||||
if (self.hours or self.minutes or self.seconds or self.microseconds
|
||||
or self.hour is not None or self.minute is not None or
|
||||
self.second is not None or self.microsecond is not None):
|
||||
self._has_time = 1
|
||||
else:
|
||||
self._has_time = 0
|
||||
|
||||
@property
|
||||
def weeks(self):
|
||||
return int(self.days / 7.0)
|
||||
|
||||
@weeks.setter
|
||||
def weeks(self, value):
|
||||
self.days = self.days - (self.weeks * 7) + value * 7
|
||||
|
||||
def _set_months(self, months):
|
||||
self.months = months
|
||||
if abs(self.months) > 11:
|
||||
s = _sign(self.months)
|
||||
div, mod = divmod(self.months * s, 12)
|
||||
self.months = mod * s
|
||||
self.years = div * s
|
||||
else:
|
||||
self.years = 0
|
||||
|
||||
def normalized(self):
|
||||
"""
|
||||
Return a version of this object represented entirely using integer
|
||||
values for the relative attributes.
|
||||
|
||||
>>> relativedelta(days=1.5, hours=2).normalized()
|
||||
relativedelta(days=+1, hours=+14)
|
||||
|
||||
:return:
|
||||
Returns a :class:`dateutil.relativedelta.relativedelta` object.
|
||||
"""
|
||||
# Cascade remainders down (rounding each to roughly nearest microsecond)
|
||||
days = int(self.days)
|
||||
|
||||
hours_f = round(self.hours + 24 * (self.days - days), 11)
|
||||
hours = int(hours_f)
|
||||
|
||||
minutes_f = round(self.minutes + 60 * (hours_f - hours), 10)
|
||||
minutes = int(minutes_f)
|
||||
|
||||
seconds_f = round(self.seconds + 60 * (minutes_f - minutes), 8)
|
||||
seconds = int(seconds_f)
|
||||
|
||||
microseconds = round(self.microseconds + 1e6 * (seconds_f - seconds))
|
||||
|
||||
# Constructor carries overflow back up with call to _fix()
|
||||
return self.__class__(years=self.years, months=self.months,
|
||||
days=days, hours=hours, minutes=minutes,
|
||||
seconds=seconds, microseconds=microseconds,
|
||||
leapdays=self.leapdays, year=self.year,
|
||||
month=self.month, day=self.day,
|
||||
weekday=self.weekday, hour=self.hour,
|
||||
minute=self.minute, second=self.second,
|
||||
microsecond=self.microsecond)
|
||||
|
||||
def __add__(self, other):
|
||||
if isinstance(other, relativedelta):
|
||||
return self.__class__(years=other.years + self.years,
|
||||
months=other.months + self.months,
|
||||
days=other.days + self.days,
|
||||
hours=other.hours + self.hours,
|
||||
minutes=other.minutes + self.minutes,
|
||||
seconds=other.seconds + self.seconds,
|
||||
microseconds=(other.microseconds +
|
||||
self.microseconds),
|
||||
leapdays=other.leapdays or self.leapdays,
|
||||
year=(other.year if other.year is not None
|
||||
else self.year),
|
||||
month=(other.month if other.month is not None
|
||||
else self.month),
|
||||
day=(other.day if other.day is not None
|
||||
else self.day),
|
||||
weekday=(other.weekday if other.weekday is not None
|
||||
else self.weekday),
|
||||
hour=(other.hour if other.hour is not None
|
||||
else self.hour),
|
||||
minute=(other.minute if other.minute is not None
|
||||
else self.minute),
|
||||
second=(other.second if other.second is not None
|
||||
else self.second),
|
||||
microsecond=(other.microsecond if other.microsecond
|
||||
is not None else
|
||||
self.microsecond))
|
||||
if isinstance(other, datetime.timedelta):
|
||||
return self.__class__(years=self.years,
|
||||
months=self.months,
|
||||
days=self.days + other.days,
|
||||
hours=self.hours,
|
||||
minutes=self.minutes,
|
||||
seconds=self.seconds + other.seconds,
|
||||
microseconds=self.microseconds + other.microseconds,
|
||||
leapdays=self.leapdays,
|
||||
year=self.year,
|
||||
month=self.month,
|
||||
day=self.day,
|
||||
weekday=self.weekday,
|
||||
hour=self.hour,
|
||||
minute=self.minute,
|
||||
second=self.second,
|
||||
microsecond=self.microsecond)
|
||||
if not isinstance(other, datetime.date):
|
||||
return NotImplemented
|
||||
elif self._has_time and not isinstance(other, datetime.datetime):
|
||||
other = datetime.datetime.fromordinal(other.toordinal())
|
||||
year = (self.year or other.year)+self.years
|
||||
month = self.month or other.month
|
||||
if self.months:
|
||||
assert 1 <= abs(self.months) <= 12
|
||||
month += self.months
|
||||
if month > 12:
|
||||
year += 1
|
||||
month -= 12
|
||||
elif month < 1:
|
||||
year -= 1
|
||||
month += 12
|
||||
day = min(calendar.monthrange(year, month)[1],
|
||||
self.day or other.day)
|
||||
repl = {"year": year, "month": month, "day": day}
|
||||
for attr in ["hour", "minute", "second", "microsecond"]:
|
||||
value = getattr(self, attr)
|
||||
if value is not None:
|
||||
repl[attr] = value
|
||||
days = self.days
|
||||
if self.leapdays and month > 2 and calendar.isleap(year):
|
||||
days += self.leapdays
|
||||
ret = (other.replace(**repl)
|
||||
+ datetime.timedelta(days=days,
|
||||
hours=self.hours,
|
||||
minutes=self.minutes,
|
||||
seconds=self.seconds,
|
||||
microseconds=self.microseconds))
|
||||
if self.weekday:
|
||||
weekday, nth = self.weekday.weekday, self.weekday.n or 1
|
||||
jumpdays = (abs(nth) - 1) * 7
|
||||
if nth > 0:
|
||||
jumpdays += (7 - ret.weekday() + weekday) % 7
|
||||
else:
|
||||
jumpdays += (ret.weekday() - weekday) % 7
|
||||
jumpdays *= -1
|
||||
ret += datetime.timedelta(days=jumpdays)
|
||||
return ret
|
||||
|
||||
def __radd__(self, other):
|
||||
return self.__add__(other)
|
||||
|
||||
def __rsub__(self, other):
|
||||
return self.__neg__().__radd__(other)
|
||||
|
||||
def __sub__(self, other):
|
||||
if not isinstance(other, relativedelta):
|
||||
return NotImplemented # In case the other object defines __rsub__
|
||||
return self.__class__(years=self.years - other.years,
|
||||
months=self.months - other.months,
|
||||
days=self.days - other.days,
|
||||
hours=self.hours - other.hours,
|
||||
minutes=self.minutes - other.minutes,
|
||||
seconds=self.seconds - other.seconds,
|
||||
microseconds=self.microseconds - other.microseconds,
|
||||
leapdays=self.leapdays or other.leapdays,
|
||||
year=(self.year if self.year is not None
|
||||
else other.year),
|
||||
month=(self.month if self.month is not None else
|
||||
other.month),
|
||||
day=(self.day if self.day is not None else
|
||||
other.day),
|
||||
weekday=(self.weekday if self.weekday is not None else
|
||||
other.weekday),
|
||||
hour=(self.hour if self.hour is not None else
|
||||
other.hour),
|
||||
minute=(self.minute if self.minute is not None else
|
||||
other.minute),
|
||||
second=(self.second if self.second is not None else
|
||||
other.second),
|
||||
microsecond=(self.microsecond if self.microsecond
|
||||
is not None else
|
||||
other.microsecond))
|
||||
|
||||
def __abs__(self):
|
||||
return self.__class__(years=abs(self.years),
|
||||
months=abs(self.months),
|
||||
days=abs(self.days),
|
||||
hours=abs(self.hours),
|
||||
minutes=abs(self.minutes),
|
||||
seconds=abs(self.seconds),
|
||||
microseconds=abs(self.microseconds),
|
||||
leapdays=self.leapdays,
|
||||
year=self.year,
|
||||
month=self.month,
|
||||
day=self.day,
|
||||
weekday=self.weekday,
|
||||
hour=self.hour,
|
||||
minute=self.minute,
|
||||
second=self.second,
|
||||
microsecond=self.microsecond)
|
||||
|
||||
def __neg__(self):
|
||||
return self.__class__(years=-self.years,
|
||||
months=-self.months,
|
||||
days=-self.days,
|
||||
hours=-self.hours,
|
||||
minutes=-self.minutes,
|
||||
seconds=-self.seconds,
|
||||
microseconds=-self.microseconds,
|
||||
leapdays=self.leapdays,
|
||||
year=self.year,
|
||||
month=self.month,
|
||||
day=self.day,
|
||||
weekday=self.weekday,
|
||||
hour=self.hour,
|
||||
minute=self.minute,
|
||||
second=self.second,
|
||||
microsecond=self.microsecond)
|
||||
|
||||
def __bool__(self):
|
||||
return not (not self.years and
|
||||
not self.months and
|
||||
not self.days and
|
||||
not self.hours and
|
||||
not self.minutes and
|
||||
not self.seconds and
|
||||
not self.microseconds and
|
||||
not self.leapdays and
|
||||
self.year is None and
|
||||
self.month is None and
|
||||
self.day is None and
|
||||
self.weekday is None and
|
||||
self.hour is None and
|
||||
self.minute is None and
|
||||
self.second is None and
|
||||
self.microsecond is None)
|
||||
# Compatibility with Python 2.x
|
||||
__nonzero__ = __bool__
|
||||
|
||||
def __mul__(self, other):
|
||||
try:
|
||||
f = float(other)
|
||||
except TypeError:
|
||||
return NotImplemented
|
||||
|
||||
return self.__class__(years=int(self.years * f),
|
||||
months=int(self.months * f),
|
||||
days=int(self.days * f),
|
||||
hours=int(self.hours * f),
|
||||
minutes=int(self.minutes * f),
|
||||
seconds=int(self.seconds * f),
|
||||
microseconds=int(self.microseconds * f),
|
||||
leapdays=self.leapdays,
|
||||
year=self.year,
|
||||
month=self.month,
|
||||
day=self.day,
|
||||
weekday=self.weekday,
|
||||
hour=self.hour,
|
||||
minute=self.minute,
|
||||
second=self.second,
|
||||
microsecond=self.microsecond)
|
||||
|
||||
__rmul__ = __mul__
|
||||
|
||||
def __eq__(self, other):
|
||||
if not isinstance(other, relativedelta):
|
||||
return NotImplemented
|
||||
if self.weekday or other.weekday:
|
||||
if not self.weekday or not other.weekday:
|
||||
return False
|
||||
if self.weekday.weekday != other.weekday.weekday:
|
||||
return False
|
||||
n1, n2 = self.weekday.n, other.weekday.n
|
||||
if n1 != n2 and not ((not n1 or n1 == 1) and (not n2 or n2 == 1)):
|
||||
return False
|
||||
return (self.years == other.years and
|
||||
self.months == other.months and
|
||||
self.days == other.days and
|
||||
self.hours == other.hours and
|
||||
self.minutes == other.minutes and
|
||||
self.seconds == other.seconds and
|
||||
self.microseconds == other.microseconds and
|
||||
self.leapdays == other.leapdays and
|
||||
self.year == other.year and
|
||||
self.month == other.month and
|
||||
self.day == other.day and
|
||||
self.hour == other.hour and
|
||||
self.minute == other.minute and
|
||||
self.second == other.second and
|
||||
self.microsecond == other.microsecond)
|
||||
|
||||
def __hash__(self):
|
||||
return hash((
|
||||
self.weekday,
|
||||
self.years,
|
||||
self.months,
|
||||
self.days,
|
||||
self.hours,
|
||||
self.minutes,
|
||||
self.seconds,
|
||||
self.microseconds,
|
||||
self.leapdays,
|
||||
self.year,
|
||||
self.month,
|
||||
self.day,
|
||||
self.hour,
|
||||
self.minute,
|
||||
self.second,
|
||||
self.microsecond,
|
||||
))
|
||||
|
||||
def __ne__(self, other):
|
||||
return not self.__eq__(other)
|
||||
|
||||
def __div__(self, other):
|
||||
try:
|
||||
reciprocal = 1 / float(other)
|
||||
except TypeError:
|
||||
return NotImplemented
|
||||
|
||||
return self.__mul__(reciprocal)
|
||||
|
||||
__truediv__ = __div__
|
||||
|
||||
def __repr__(self):
|
||||
l = []
|
||||
for attr in ["years", "months", "days", "leapdays",
|
||||
"hours", "minutes", "seconds", "microseconds"]:
|
||||
value = getattr(self, attr)
|
||||
if value:
|
||||
l.append("{attr}={value:+g}".format(attr=attr, value=value))
|
||||
for attr in ["year", "month", "day", "weekday",
|
||||
"hour", "minute", "second", "microsecond"]:
|
||||
value = getattr(self, attr)
|
||||
if value is not None:
|
||||
l.append("{attr}={value}".format(attr=attr, value=repr(value)))
|
||||
return "{classname}({attrs})".format(classname=self.__class__.__name__,
|
||||
attrs=", ".join(l))
|
||||
|
||||
|
||||
def _sign(x):
|
||||
return int(copysign(1, x))
|
||||
|
||||
# vim:ts=4:sw=4:et
|
||||
1737
venv/lib/python3.12/site-packages/dateutil/rrule.py
Normal file
1737
venv/lib/python3.12/site-packages/dateutil/rrule.py
Normal file
File diff suppressed because it is too large
Load Diff
12
venv/lib/python3.12/site-packages/dateutil/tz/__init__.py
Normal file
12
venv/lib/python3.12/site-packages/dateutil/tz/__init__.py
Normal file
@@ -0,0 +1,12 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
from .tz import *
|
||||
from .tz import __doc__
|
||||
|
||||
__all__ = ["tzutc", "tzoffset", "tzlocal", "tzfile", "tzrange",
|
||||
"tzstr", "tzical", "tzwin", "tzwinlocal", "gettz",
|
||||
"enfold", "datetime_ambiguous", "datetime_exists",
|
||||
"resolve_imaginary", "UTC", "DeprecatedTzFormatWarning"]
|
||||
|
||||
|
||||
class DeprecatedTzFormatWarning(Warning):
|
||||
"""Warning raised when time zones are parsed from deprecated formats."""
|
||||
419
venv/lib/python3.12/site-packages/dateutil/tz/_common.py
Normal file
419
venv/lib/python3.12/site-packages/dateutil/tz/_common.py
Normal file
@@ -0,0 +1,419 @@
|
||||
from six import PY2
|
||||
|
||||
from functools import wraps
|
||||
|
||||
from datetime import datetime, timedelta, tzinfo
|
||||
|
||||
|
||||
ZERO = timedelta(0)
|
||||
|
||||
__all__ = ['tzname_in_python2', 'enfold']
|
||||
|
||||
|
||||
def tzname_in_python2(namefunc):
|
||||
"""Change unicode output into bytestrings in Python 2
|
||||
|
||||
tzname() API changed in Python 3. It used to return bytes, but was changed
|
||||
to unicode strings
|
||||
"""
|
||||
if PY2:
|
||||
@wraps(namefunc)
|
||||
def adjust_encoding(*args, **kwargs):
|
||||
name = namefunc(*args, **kwargs)
|
||||
if name is not None:
|
||||
name = name.encode()
|
||||
|
||||
return name
|
||||
|
||||
return adjust_encoding
|
||||
else:
|
||||
return namefunc
|
||||
|
||||
|
||||
# The following is adapted from Alexander Belopolsky's tz library
|
||||
# https://github.com/abalkin/tz
|
||||
if hasattr(datetime, 'fold'):
|
||||
# This is the pre-python 3.6 fold situation
|
||||
def enfold(dt, fold=1):
|
||||
"""
|
||||
Provides a unified interface for assigning the ``fold`` attribute to
|
||||
datetimes both before and after the implementation of PEP-495.
|
||||
|
||||
:param fold:
|
||||
The value for the ``fold`` attribute in the returned datetime. This
|
||||
should be either 0 or 1.
|
||||
|
||||
:return:
|
||||
Returns an object for which ``getattr(dt, 'fold', 0)`` returns
|
||||
``fold`` for all versions of Python. In versions prior to
|
||||
Python 3.6, this is a ``_DatetimeWithFold`` object, which is a
|
||||
subclass of :py:class:`datetime.datetime` with the ``fold``
|
||||
attribute added, if ``fold`` is 1.
|
||||
|
||||
.. versionadded:: 2.6.0
|
||||
"""
|
||||
return dt.replace(fold=fold)
|
||||
|
||||
else:
|
||||
class _DatetimeWithFold(datetime):
|
||||
"""
|
||||
This is a class designed to provide a PEP 495-compliant interface for
|
||||
Python versions before 3.6. It is used only for dates in a fold, so
|
||||
the ``fold`` attribute is fixed at ``1``.
|
||||
|
||||
.. versionadded:: 2.6.0
|
||||
"""
|
||||
__slots__ = ()
|
||||
|
||||
def replace(self, *args, **kwargs):
|
||||
"""
|
||||
Return a datetime with the same attributes, except for those
|
||||
attributes given new values by whichever keyword arguments are
|
||||
specified. Note that tzinfo=None can be specified to create a naive
|
||||
datetime from an aware datetime with no conversion of date and time
|
||||
data.
|
||||
|
||||
This is reimplemented in ``_DatetimeWithFold`` because pypy3 will
|
||||
return a ``datetime.datetime`` even if ``fold`` is unchanged.
|
||||
"""
|
||||
argnames = (
|
||||
'year', 'month', 'day', 'hour', 'minute', 'second',
|
||||
'microsecond', 'tzinfo'
|
||||
)
|
||||
|
||||
for arg, argname in zip(args, argnames):
|
||||
if argname in kwargs:
|
||||
raise TypeError('Duplicate argument: {}'.format(argname))
|
||||
|
||||
kwargs[argname] = arg
|
||||
|
||||
for argname in argnames:
|
||||
if argname not in kwargs:
|
||||
kwargs[argname] = getattr(self, argname)
|
||||
|
||||
dt_class = self.__class__ if kwargs.get('fold', 1) else datetime
|
||||
|
||||
return dt_class(**kwargs)
|
||||
|
||||
@property
|
||||
def fold(self):
|
||||
return 1
|
||||
|
||||
def enfold(dt, fold=1):
|
||||
"""
|
||||
Provides a unified interface for assigning the ``fold`` attribute to
|
||||
datetimes both before and after the implementation of PEP-495.
|
||||
|
||||
:param fold:
|
||||
The value for the ``fold`` attribute in the returned datetime. This
|
||||
should be either 0 or 1.
|
||||
|
||||
:return:
|
||||
Returns an object for which ``getattr(dt, 'fold', 0)`` returns
|
||||
``fold`` for all versions of Python. In versions prior to
|
||||
Python 3.6, this is a ``_DatetimeWithFold`` object, which is a
|
||||
subclass of :py:class:`datetime.datetime` with the ``fold``
|
||||
attribute added, if ``fold`` is 1.
|
||||
|
||||
.. versionadded:: 2.6.0
|
||||
"""
|
||||
if getattr(dt, 'fold', 0) == fold:
|
||||
return dt
|
||||
|
||||
args = dt.timetuple()[:6]
|
||||
args += (dt.microsecond, dt.tzinfo)
|
||||
|
||||
if fold:
|
||||
return _DatetimeWithFold(*args)
|
||||
else:
|
||||
return datetime(*args)
|
||||
|
||||
|
||||
def _validate_fromutc_inputs(f):
|
||||
"""
|
||||
The CPython version of ``fromutc`` checks that the input is a ``datetime``
|
||||
object and that ``self`` is attached as its ``tzinfo``.
|
||||
"""
|
||||
@wraps(f)
|
||||
def fromutc(self, dt):
|
||||
if not isinstance(dt, datetime):
|
||||
raise TypeError("fromutc() requires a datetime argument")
|
||||
if dt.tzinfo is not self:
|
||||
raise ValueError("dt.tzinfo is not self")
|
||||
|
||||
return f(self, dt)
|
||||
|
||||
return fromutc
|
||||
|
||||
|
||||
class _tzinfo(tzinfo):
|
||||
"""
|
||||
Base class for all ``dateutil`` ``tzinfo`` objects.
|
||||
"""
|
||||
|
||||
def is_ambiguous(self, dt):
|
||||
"""
|
||||
Whether or not the "wall time" of a given datetime is ambiguous in this
|
||||
zone.
|
||||
|
||||
:param dt:
|
||||
A :py:class:`datetime.datetime`, naive or time zone aware.
|
||||
|
||||
|
||||
:return:
|
||||
Returns ``True`` if ambiguous, ``False`` otherwise.
|
||||
|
||||
.. versionadded:: 2.6.0
|
||||
"""
|
||||
|
||||
dt = dt.replace(tzinfo=self)
|
||||
|
||||
wall_0 = enfold(dt, fold=0)
|
||||
wall_1 = enfold(dt, fold=1)
|
||||
|
||||
same_offset = wall_0.utcoffset() == wall_1.utcoffset()
|
||||
same_dt = wall_0.replace(tzinfo=None) == wall_1.replace(tzinfo=None)
|
||||
|
||||
return same_dt and not same_offset
|
||||
|
||||
def _fold_status(self, dt_utc, dt_wall):
|
||||
"""
|
||||
Determine the fold status of a "wall" datetime, given a representation
|
||||
of the same datetime as a (naive) UTC datetime. This is calculated based
|
||||
on the assumption that ``dt.utcoffset() - dt.dst()`` is constant for all
|
||||
datetimes, and that this offset is the actual number of hours separating
|
||||
``dt_utc`` and ``dt_wall``.
|
||||
|
||||
:param dt_utc:
|
||||
Representation of the datetime as UTC
|
||||
|
||||
:param dt_wall:
|
||||
Representation of the datetime as "wall time". This parameter must
|
||||
either have a `fold` attribute or have a fold-naive
|
||||
:class:`datetime.tzinfo` attached, otherwise the calculation may
|
||||
fail.
|
||||
"""
|
||||
if self.is_ambiguous(dt_wall):
|
||||
delta_wall = dt_wall - dt_utc
|
||||
_fold = int(delta_wall == (dt_utc.utcoffset() - dt_utc.dst()))
|
||||
else:
|
||||
_fold = 0
|
||||
|
||||
return _fold
|
||||
|
||||
def _fold(self, dt):
|
||||
return getattr(dt, 'fold', 0)
|
||||
|
||||
def _fromutc(self, dt):
|
||||
"""
|
||||
Given a timezone-aware datetime in a given timezone, calculates a
|
||||
timezone-aware datetime in a new timezone.
|
||||
|
||||
Since this is the one time that we *know* we have an unambiguous
|
||||
datetime object, we take this opportunity to determine whether the
|
||||
datetime is ambiguous and in a "fold" state (e.g. if it's the first
|
||||
occurrence, chronologically, of the ambiguous datetime).
|
||||
|
||||
:param dt:
|
||||
A timezone-aware :class:`datetime.datetime` object.
|
||||
"""
|
||||
|
||||
# Re-implement the algorithm from Python's datetime.py
|
||||
dtoff = dt.utcoffset()
|
||||
if dtoff is None:
|
||||
raise ValueError("fromutc() requires a non-None utcoffset() "
|
||||
"result")
|
||||
|
||||
# The original datetime.py code assumes that `dst()` defaults to
|
||||
# zero during ambiguous times. PEP 495 inverts this presumption, so
|
||||
# for pre-PEP 495 versions of python, we need to tweak the algorithm.
|
||||
dtdst = dt.dst()
|
||||
if dtdst is None:
|
||||
raise ValueError("fromutc() requires a non-None dst() result")
|
||||
delta = dtoff - dtdst
|
||||
|
||||
dt += delta
|
||||
# Set fold=1 so we can default to being in the fold for
|
||||
# ambiguous dates.
|
||||
dtdst = enfold(dt, fold=1).dst()
|
||||
if dtdst is None:
|
||||
raise ValueError("fromutc(): dt.dst gave inconsistent "
|
||||
"results; cannot convert")
|
||||
return dt + dtdst
|
||||
|
||||
@_validate_fromutc_inputs
|
||||
def fromutc(self, dt):
|
||||
"""
|
||||
Given a timezone-aware datetime in a given timezone, calculates a
|
||||
timezone-aware datetime in a new timezone.
|
||||
|
||||
Since this is the one time that we *know* we have an unambiguous
|
||||
datetime object, we take this opportunity to determine whether the
|
||||
datetime is ambiguous and in a "fold" state (e.g. if it's the first
|
||||
occurrence, chronologically, of the ambiguous datetime).
|
||||
|
||||
:param dt:
|
||||
A timezone-aware :class:`datetime.datetime` object.
|
||||
"""
|
||||
dt_wall = self._fromutc(dt)
|
||||
|
||||
# Calculate the fold status given the two datetimes.
|
||||
_fold = self._fold_status(dt, dt_wall)
|
||||
|
||||
# Set the default fold value for ambiguous dates
|
||||
return enfold(dt_wall, fold=_fold)
|
||||
|
||||
|
||||
class tzrangebase(_tzinfo):
|
||||
"""
|
||||
This is an abstract base class for time zones represented by an annual
|
||||
transition into and out of DST. Child classes should implement the following
|
||||
methods:
|
||||
|
||||
* ``__init__(self, *args, **kwargs)``
|
||||
* ``transitions(self, year)`` - this is expected to return a tuple of
|
||||
datetimes representing the DST on and off transitions in standard
|
||||
time.
|
||||
|
||||
A fully initialized ``tzrangebase`` subclass should also provide the
|
||||
following attributes:
|
||||
* ``hasdst``: Boolean whether or not the zone uses DST.
|
||||
* ``_dst_offset`` / ``_std_offset``: :class:`datetime.timedelta` objects
|
||||
representing the respective UTC offsets.
|
||||
* ``_dst_abbr`` / ``_std_abbr``: Strings representing the timezone short
|
||||
abbreviations in DST and STD, respectively.
|
||||
* ``_hasdst``: Whether or not the zone has DST.
|
||||
|
||||
.. versionadded:: 2.6.0
|
||||
"""
|
||||
def __init__(self):
|
||||
raise NotImplementedError('tzrangebase is an abstract base class')
|
||||
|
||||
def utcoffset(self, dt):
|
||||
isdst = self._isdst(dt)
|
||||
|
||||
if isdst is None:
|
||||
return None
|
||||
elif isdst:
|
||||
return self._dst_offset
|
||||
else:
|
||||
return self._std_offset
|
||||
|
||||
def dst(self, dt):
|
||||
isdst = self._isdst(dt)
|
||||
|
||||
if isdst is None:
|
||||
return None
|
||||
elif isdst:
|
||||
return self._dst_base_offset
|
||||
else:
|
||||
return ZERO
|
||||
|
||||
@tzname_in_python2
|
||||
def tzname(self, dt):
|
||||
if self._isdst(dt):
|
||||
return self._dst_abbr
|
||||
else:
|
||||
return self._std_abbr
|
||||
|
||||
def fromutc(self, dt):
|
||||
""" Given a datetime in UTC, return local time """
|
||||
if not isinstance(dt, datetime):
|
||||
raise TypeError("fromutc() requires a datetime argument")
|
||||
|
||||
if dt.tzinfo is not self:
|
||||
raise ValueError("dt.tzinfo is not self")
|
||||
|
||||
# Get transitions - if there are none, fixed offset
|
||||
transitions = self.transitions(dt.year)
|
||||
if transitions is None:
|
||||
return dt + self.utcoffset(dt)
|
||||
|
||||
# Get the transition times in UTC
|
||||
dston, dstoff = transitions
|
||||
|
||||
dston -= self._std_offset
|
||||
dstoff -= self._std_offset
|
||||
|
||||
utc_transitions = (dston, dstoff)
|
||||
dt_utc = dt.replace(tzinfo=None)
|
||||
|
||||
isdst = self._naive_isdst(dt_utc, utc_transitions)
|
||||
|
||||
if isdst:
|
||||
dt_wall = dt + self._dst_offset
|
||||
else:
|
||||
dt_wall = dt + self._std_offset
|
||||
|
||||
_fold = int(not isdst and self.is_ambiguous(dt_wall))
|
||||
|
||||
return enfold(dt_wall, fold=_fold)
|
||||
|
||||
def is_ambiguous(self, dt):
|
||||
"""
|
||||
Whether or not the "wall time" of a given datetime is ambiguous in this
|
||||
zone.
|
||||
|
||||
:param dt:
|
||||
A :py:class:`datetime.datetime`, naive or time zone aware.
|
||||
|
||||
|
||||
:return:
|
||||
Returns ``True`` if ambiguous, ``False`` otherwise.
|
||||
|
||||
.. versionadded:: 2.6.0
|
||||
"""
|
||||
if not self.hasdst:
|
||||
return False
|
||||
|
||||
start, end = self.transitions(dt.year)
|
||||
|
||||
dt = dt.replace(tzinfo=None)
|
||||
return (end <= dt < end + self._dst_base_offset)
|
||||
|
||||
def _isdst(self, dt):
|
||||
if not self.hasdst:
|
||||
return False
|
||||
elif dt is None:
|
||||
return None
|
||||
|
||||
transitions = self.transitions(dt.year)
|
||||
|
||||
if transitions is None:
|
||||
return False
|
||||
|
||||
dt = dt.replace(tzinfo=None)
|
||||
|
||||
isdst = self._naive_isdst(dt, transitions)
|
||||
|
||||
# Handle ambiguous dates
|
||||
if not isdst and self.is_ambiguous(dt):
|
||||
return not self._fold(dt)
|
||||
else:
|
||||
return isdst
|
||||
|
||||
def _naive_isdst(self, dt, transitions):
|
||||
dston, dstoff = transitions
|
||||
|
||||
dt = dt.replace(tzinfo=None)
|
||||
|
||||
if dston < dstoff:
|
||||
isdst = dston <= dt < dstoff
|
||||
else:
|
||||
isdst = not dstoff <= dt < dston
|
||||
|
||||
return isdst
|
||||
|
||||
@property
|
||||
def _dst_base_offset(self):
|
||||
return self._dst_offset - self._std_offset
|
||||
|
||||
__hash__ = None
|
||||
|
||||
def __ne__(self, other):
|
||||
return not (self == other)
|
||||
|
||||
def __repr__(self):
|
||||
return "%s(...)" % self.__class__.__name__
|
||||
|
||||
__reduce__ = object.__reduce__
|
||||
80
venv/lib/python3.12/site-packages/dateutil/tz/_factories.py
Normal file
80
venv/lib/python3.12/site-packages/dateutil/tz/_factories.py
Normal file
@@ -0,0 +1,80 @@
|
||||
from datetime import timedelta
|
||||
import weakref
|
||||
from collections import OrderedDict
|
||||
|
||||
from six.moves import _thread
|
||||
|
||||
|
||||
class _TzSingleton(type):
|
||||
def __init__(cls, *args, **kwargs):
|
||||
cls.__instance = None
|
||||
super(_TzSingleton, cls).__init__(*args, **kwargs)
|
||||
|
||||
def __call__(cls):
|
||||
if cls.__instance is None:
|
||||
cls.__instance = super(_TzSingleton, cls).__call__()
|
||||
return cls.__instance
|
||||
|
||||
|
||||
class _TzFactory(type):
|
||||
def instance(cls, *args, **kwargs):
|
||||
"""Alternate constructor that returns a fresh instance"""
|
||||
return type.__call__(cls, *args, **kwargs)
|
||||
|
||||
|
||||
class _TzOffsetFactory(_TzFactory):
|
||||
def __init__(cls, *args, **kwargs):
|
||||
cls.__instances = weakref.WeakValueDictionary()
|
||||
cls.__strong_cache = OrderedDict()
|
||||
cls.__strong_cache_size = 8
|
||||
|
||||
cls._cache_lock = _thread.allocate_lock()
|
||||
|
||||
def __call__(cls, name, offset):
|
||||
if isinstance(offset, timedelta):
|
||||
key = (name, offset.total_seconds())
|
||||
else:
|
||||
key = (name, offset)
|
||||
|
||||
instance = cls.__instances.get(key, None)
|
||||
if instance is None:
|
||||
instance = cls.__instances.setdefault(key,
|
||||
cls.instance(name, offset))
|
||||
|
||||
# This lock may not be necessary in Python 3. See GH issue #901
|
||||
with cls._cache_lock:
|
||||
cls.__strong_cache[key] = cls.__strong_cache.pop(key, instance)
|
||||
|
||||
# Remove an item if the strong cache is overpopulated
|
||||
if len(cls.__strong_cache) > cls.__strong_cache_size:
|
||||
cls.__strong_cache.popitem(last=False)
|
||||
|
||||
return instance
|
||||
|
||||
|
||||
class _TzStrFactory(_TzFactory):
|
||||
def __init__(cls, *args, **kwargs):
|
||||
cls.__instances = weakref.WeakValueDictionary()
|
||||
cls.__strong_cache = OrderedDict()
|
||||
cls.__strong_cache_size = 8
|
||||
|
||||
cls.__cache_lock = _thread.allocate_lock()
|
||||
|
||||
def __call__(cls, s, posix_offset=False):
|
||||
key = (s, posix_offset)
|
||||
instance = cls.__instances.get(key, None)
|
||||
|
||||
if instance is None:
|
||||
instance = cls.__instances.setdefault(key,
|
||||
cls.instance(s, posix_offset))
|
||||
|
||||
# This lock may not be necessary in Python 3. See GH issue #901
|
||||
with cls.__cache_lock:
|
||||
cls.__strong_cache[key] = cls.__strong_cache.pop(key, instance)
|
||||
|
||||
# Remove an item if the strong cache is overpopulated
|
||||
if len(cls.__strong_cache) > cls.__strong_cache_size:
|
||||
cls.__strong_cache.popitem(last=False)
|
||||
|
||||
return instance
|
||||
|
||||
1849
venv/lib/python3.12/site-packages/dateutil/tz/tz.py
Normal file
1849
venv/lib/python3.12/site-packages/dateutil/tz/tz.py
Normal file
File diff suppressed because it is too large
Load Diff
370
venv/lib/python3.12/site-packages/dateutil/tz/win.py
Normal file
370
venv/lib/python3.12/site-packages/dateutil/tz/win.py
Normal file
@@ -0,0 +1,370 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
This module provides an interface to the native time zone data on Windows,
|
||||
including :py:class:`datetime.tzinfo` implementations.
|
||||
|
||||
Attempting to import this module on a non-Windows platform will raise an
|
||||
:py:obj:`ImportError`.
|
||||
"""
|
||||
# This code was originally contributed by Jeffrey Harris.
|
||||
import datetime
|
||||
import struct
|
||||
|
||||
from six.moves import winreg
|
||||
from six import text_type
|
||||
|
||||
try:
|
||||
import ctypes
|
||||
from ctypes import wintypes
|
||||
except ValueError:
|
||||
# ValueError is raised on non-Windows systems for some horrible reason.
|
||||
raise ImportError("Running tzwin on non-Windows system")
|
||||
|
||||
from ._common import tzrangebase
|
||||
|
||||
__all__ = ["tzwin", "tzwinlocal", "tzres"]
|
||||
|
||||
ONEWEEK = datetime.timedelta(7)
|
||||
|
||||
TZKEYNAMENT = r"SOFTWARE\Microsoft\Windows NT\CurrentVersion\Time Zones"
|
||||
TZKEYNAME9X = r"SOFTWARE\Microsoft\Windows\CurrentVersion\Time Zones"
|
||||
TZLOCALKEYNAME = r"SYSTEM\CurrentControlSet\Control\TimeZoneInformation"
|
||||
|
||||
|
||||
def _settzkeyname():
|
||||
handle = winreg.ConnectRegistry(None, winreg.HKEY_LOCAL_MACHINE)
|
||||
try:
|
||||
winreg.OpenKey(handle, TZKEYNAMENT).Close()
|
||||
TZKEYNAME = TZKEYNAMENT
|
||||
except WindowsError:
|
||||
TZKEYNAME = TZKEYNAME9X
|
||||
handle.Close()
|
||||
return TZKEYNAME
|
||||
|
||||
|
||||
TZKEYNAME = _settzkeyname()
|
||||
|
||||
|
||||
class tzres(object):
|
||||
"""
|
||||
Class for accessing ``tzres.dll``, which contains timezone name related
|
||||
resources.
|
||||
|
||||
.. versionadded:: 2.5.0
|
||||
"""
|
||||
p_wchar = ctypes.POINTER(wintypes.WCHAR) # Pointer to a wide char
|
||||
|
||||
def __init__(self, tzres_loc='tzres.dll'):
|
||||
# Load the user32 DLL so we can load strings from tzres
|
||||
user32 = ctypes.WinDLL('user32')
|
||||
|
||||
# Specify the LoadStringW function
|
||||
user32.LoadStringW.argtypes = (wintypes.HINSTANCE,
|
||||
wintypes.UINT,
|
||||
wintypes.LPWSTR,
|
||||
ctypes.c_int)
|
||||
|
||||
self.LoadStringW = user32.LoadStringW
|
||||
self._tzres = ctypes.WinDLL(tzres_loc)
|
||||
self.tzres_loc = tzres_loc
|
||||
|
||||
def load_name(self, offset):
|
||||
"""
|
||||
Load a timezone name from a DLL offset (integer).
|
||||
|
||||
>>> from dateutil.tzwin import tzres
|
||||
>>> tzr = tzres()
|
||||
>>> print(tzr.load_name(112))
|
||||
'Eastern Standard Time'
|
||||
|
||||
:param offset:
|
||||
A positive integer value referring to a string from the tzres dll.
|
||||
|
||||
.. note::
|
||||
|
||||
Offsets found in the registry are generally of the form
|
||||
``@tzres.dll,-114``. The offset in this case is 114, not -114.
|
||||
|
||||
"""
|
||||
resource = self.p_wchar()
|
||||
lpBuffer = ctypes.cast(ctypes.byref(resource), wintypes.LPWSTR)
|
||||
nchar = self.LoadStringW(self._tzres._handle, offset, lpBuffer, 0)
|
||||
return resource[:nchar]
|
||||
|
||||
def name_from_string(self, tzname_str):
|
||||
"""
|
||||
Parse strings as returned from the Windows registry into the time zone
|
||||
name as defined in the registry.
|
||||
|
||||
>>> from dateutil.tzwin import tzres
|
||||
>>> tzr = tzres()
|
||||
>>> print(tzr.name_from_string('@tzres.dll,-251'))
|
||||
'Dateline Daylight Time'
|
||||
>>> print(tzr.name_from_string('Eastern Standard Time'))
|
||||
'Eastern Standard Time'
|
||||
|
||||
:param tzname_str:
|
||||
A timezone name string as returned from a Windows registry key.
|
||||
|
||||
:return:
|
||||
Returns the localized timezone string from tzres.dll if the string
|
||||
is of the form `@tzres.dll,-offset`, else returns the input string.
|
||||
"""
|
||||
if not tzname_str.startswith('@'):
|
||||
return tzname_str
|
||||
|
||||
name_splt = tzname_str.split(',-')
|
||||
try:
|
||||
offset = int(name_splt[1])
|
||||
except:
|
||||
raise ValueError("Malformed timezone string.")
|
||||
|
||||
return self.load_name(offset)
|
||||
|
||||
|
||||
class tzwinbase(tzrangebase):
|
||||
"""tzinfo class based on win32's timezones available in the registry."""
|
||||
def __init__(self):
|
||||
raise NotImplementedError('tzwinbase is an abstract base class')
|
||||
|
||||
def __eq__(self, other):
|
||||
# Compare on all relevant dimensions, including name.
|
||||
if not isinstance(other, tzwinbase):
|
||||
return NotImplemented
|
||||
|
||||
return (self._std_offset == other._std_offset and
|
||||
self._dst_offset == other._dst_offset and
|
||||
self._stddayofweek == other._stddayofweek and
|
||||
self._dstdayofweek == other._dstdayofweek and
|
||||
self._stdweeknumber == other._stdweeknumber and
|
||||
self._dstweeknumber == other._dstweeknumber and
|
||||
self._stdhour == other._stdhour and
|
||||
self._dsthour == other._dsthour and
|
||||
self._stdminute == other._stdminute and
|
||||
self._dstminute == other._dstminute and
|
||||
self._std_abbr == other._std_abbr and
|
||||
self._dst_abbr == other._dst_abbr)
|
||||
|
||||
@staticmethod
|
||||
def list():
|
||||
"""Return a list of all time zones known to the system."""
|
||||
with winreg.ConnectRegistry(None, winreg.HKEY_LOCAL_MACHINE) as handle:
|
||||
with winreg.OpenKey(handle, TZKEYNAME) as tzkey:
|
||||
result = [winreg.EnumKey(tzkey, i)
|
||||
for i in range(winreg.QueryInfoKey(tzkey)[0])]
|
||||
return result
|
||||
|
||||
def display(self):
|
||||
"""
|
||||
Return the display name of the time zone.
|
||||
"""
|
||||
return self._display
|
||||
|
||||
def transitions(self, year):
|
||||
"""
|
||||
For a given year, get the DST on and off transition times, expressed
|
||||
always on the standard time side. For zones with no transitions, this
|
||||
function returns ``None``.
|
||||
|
||||
:param year:
|
||||
The year whose transitions you would like to query.
|
||||
|
||||
:return:
|
||||
Returns a :class:`tuple` of :class:`datetime.datetime` objects,
|
||||
``(dston, dstoff)`` for zones with an annual DST transition, or
|
||||
``None`` for fixed offset zones.
|
||||
"""
|
||||
|
||||
if not self.hasdst:
|
||||
return None
|
||||
|
||||
dston = picknthweekday(year, self._dstmonth, self._dstdayofweek,
|
||||
self._dsthour, self._dstminute,
|
||||
self._dstweeknumber)
|
||||
|
||||
dstoff = picknthweekday(year, self._stdmonth, self._stddayofweek,
|
||||
self._stdhour, self._stdminute,
|
||||
self._stdweeknumber)
|
||||
|
||||
# Ambiguous dates default to the STD side
|
||||
dstoff -= self._dst_base_offset
|
||||
|
||||
return dston, dstoff
|
||||
|
||||
def _get_hasdst(self):
|
||||
return self._dstmonth != 0
|
||||
|
||||
@property
|
||||
def _dst_base_offset(self):
|
||||
return self._dst_base_offset_
|
||||
|
||||
|
||||
class tzwin(tzwinbase):
|
||||
"""
|
||||
Time zone object created from the zone info in the Windows registry
|
||||
|
||||
These are similar to :py:class:`dateutil.tz.tzrange` objects in that
|
||||
the time zone data is provided in the format of a single offset rule
|
||||
for either 0 or 2 time zone transitions per year.
|
||||
|
||||
:param: name
|
||||
The name of a Windows time zone key, e.g. "Eastern Standard Time".
|
||||
The full list of keys can be retrieved with :func:`tzwin.list`.
|
||||
"""
|
||||
|
||||
def __init__(self, name):
|
||||
self._name = name
|
||||
|
||||
with winreg.ConnectRegistry(None, winreg.HKEY_LOCAL_MACHINE) as handle:
|
||||
tzkeyname = text_type("{kn}\\{name}").format(kn=TZKEYNAME, name=name)
|
||||
with winreg.OpenKey(handle, tzkeyname) as tzkey:
|
||||
keydict = valuestodict(tzkey)
|
||||
|
||||
self._std_abbr = keydict["Std"]
|
||||
self._dst_abbr = keydict["Dlt"]
|
||||
|
||||
self._display = keydict["Display"]
|
||||
|
||||
# See http://ww_winreg.jsiinc.com/SUBA/tip0300/rh0398.htm
|
||||
tup = struct.unpack("=3l16h", keydict["TZI"])
|
||||
stdoffset = -tup[0]-tup[1] # Bias + StandardBias * -1
|
||||
dstoffset = stdoffset-tup[2] # + DaylightBias * -1
|
||||
self._std_offset = datetime.timedelta(minutes=stdoffset)
|
||||
self._dst_offset = datetime.timedelta(minutes=dstoffset)
|
||||
|
||||
# for the meaning see the win32 TIME_ZONE_INFORMATION structure docs
|
||||
# http://msdn.microsoft.com/en-us/library/windows/desktop/ms725481(v=vs.85).aspx
|
||||
(self._stdmonth,
|
||||
self._stddayofweek, # Sunday = 0
|
||||
self._stdweeknumber, # Last = 5
|
||||
self._stdhour,
|
||||
self._stdminute) = tup[4:9]
|
||||
|
||||
(self._dstmonth,
|
||||
self._dstdayofweek, # Sunday = 0
|
||||
self._dstweeknumber, # Last = 5
|
||||
self._dsthour,
|
||||
self._dstminute) = tup[12:17]
|
||||
|
||||
self._dst_base_offset_ = self._dst_offset - self._std_offset
|
||||
self.hasdst = self._get_hasdst()
|
||||
|
||||
def __repr__(self):
|
||||
return "tzwin(%s)" % repr(self._name)
|
||||
|
||||
def __reduce__(self):
|
||||
return (self.__class__, (self._name,))
|
||||
|
||||
|
||||
class tzwinlocal(tzwinbase):
|
||||
"""
|
||||
Class representing the local time zone information in the Windows registry
|
||||
|
||||
While :class:`dateutil.tz.tzlocal` makes system calls (via the :mod:`time`
|
||||
module) to retrieve time zone information, ``tzwinlocal`` retrieves the
|
||||
rules directly from the Windows registry and creates an object like
|
||||
:class:`dateutil.tz.tzwin`.
|
||||
|
||||
Because Windows does not have an equivalent of :func:`time.tzset`, on
|
||||
Windows, :class:`dateutil.tz.tzlocal` instances will always reflect the
|
||||
time zone settings *at the time that the process was started*, meaning
|
||||
changes to the machine's time zone settings during the run of a program
|
||||
on Windows will **not** be reflected by :class:`dateutil.tz.tzlocal`.
|
||||
Because ``tzwinlocal`` reads the registry directly, it is unaffected by
|
||||
this issue.
|
||||
"""
|
||||
def __init__(self):
|
||||
with winreg.ConnectRegistry(None, winreg.HKEY_LOCAL_MACHINE) as handle:
|
||||
with winreg.OpenKey(handle, TZLOCALKEYNAME) as tzlocalkey:
|
||||
keydict = valuestodict(tzlocalkey)
|
||||
|
||||
self._std_abbr = keydict["StandardName"]
|
||||
self._dst_abbr = keydict["DaylightName"]
|
||||
|
||||
try:
|
||||
tzkeyname = text_type('{kn}\\{sn}').format(kn=TZKEYNAME,
|
||||
sn=self._std_abbr)
|
||||
with winreg.OpenKey(handle, tzkeyname) as tzkey:
|
||||
_keydict = valuestodict(tzkey)
|
||||
self._display = _keydict["Display"]
|
||||
except OSError:
|
||||
self._display = None
|
||||
|
||||
stdoffset = -keydict["Bias"]-keydict["StandardBias"]
|
||||
dstoffset = stdoffset-keydict["DaylightBias"]
|
||||
|
||||
self._std_offset = datetime.timedelta(minutes=stdoffset)
|
||||
self._dst_offset = datetime.timedelta(minutes=dstoffset)
|
||||
|
||||
# For reasons unclear, in this particular key, the day of week has been
|
||||
# moved to the END of the SYSTEMTIME structure.
|
||||
tup = struct.unpack("=8h", keydict["StandardStart"])
|
||||
|
||||
(self._stdmonth,
|
||||
self._stdweeknumber, # Last = 5
|
||||
self._stdhour,
|
||||
self._stdminute) = tup[1:5]
|
||||
|
||||
self._stddayofweek = tup[7]
|
||||
|
||||
tup = struct.unpack("=8h", keydict["DaylightStart"])
|
||||
|
||||
(self._dstmonth,
|
||||
self._dstweeknumber, # Last = 5
|
||||
self._dsthour,
|
||||
self._dstminute) = tup[1:5]
|
||||
|
||||
self._dstdayofweek = tup[7]
|
||||
|
||||
self._dst_base_offset_ = self._dst_offset - self._std_offset
|
||||
self.hasdst = self._get_hasdst()
|
||||
|
||||
def __repr__(self):
|
||||
return "tzwinlocal()"
|
||||
|
||||
def __str__(self):
|
||||
# str will return the standard name, not the daylight name.
|
||||
return "tzwinlocal(%s)" % repr(self._std_abbr)
|
||||
|
||||
def __reduce__(self):
|
||||
return (self.__class__, ())
|
||||
|
||||
|
||||
def picknthweekday(year, month, dayofweek, hour, minute, whichweek):
|
||||
""" dayofweek == 0 means Sunday, whichweek 5 means last instance """
|
||||
first = datetime.datetime(year, month, 1, hour, minute)
|
||||
|
||||
# This will work if dayofweek is ISO weekday (1-7) or Microsoft-style (0-6),
|
||||
# Because 7 % 7 = 0
|
||||
weekdayone = first.replace(day=((dayofweek - first.isoweekday()) % 7) + 1)
|
||||
wd = weekdayone + ((whichweek - 1) * ONEWEEK)
|
||||
if (wd.month != month):
|
||||
wd -= ONEWEEK
|
||||
|
||||
return wd
|
||||
|
||||
|
||||
def valuestodict(key):
|
||||
"""Convert a registry key's values to a dictionary."""
|
||||
dout = {}
|
||||
size = winreg.QueryInfoKey(key)[1]
|
||||
tz_res = None
|
||||
|
||||
for i in range(size):
|
||||
key_name, value, dtype = winreg.EnumValue(key, i)
|
||||
if dtype == winreg.REG_DWORD or dtype == winreg.REG_DWORD_LITTLE_ENDIAN:
|
||||
# If it's a DWORD (32-bit integer), it's stored as unsigned - convert
|
||||
# that to a proper signed integer
|
||||
if value & (1 << 31):
|
||||
value = value - (1 << 32)
|
||||
elif dtype == winreg.REG_SZ:
|
||||
# If it's a reference to the tzres DLL, load the actual string
|
||||
if value.startswith('@tzres'):
|
||||
tz_res = tz_res or tzres()
|
||||
value = tz_res.name_from_string(value)
|
||||
|
||||
value = value.rstrip('\x00') # Remove trailing nulls
|
||||
|
||||
dout[key_name] = value
|
||||
|
||||
return dout
|
||||
2
venv/lib/python3.12/site-packages/dateutil/tzwin.py
Normal file
2
venv/lib/python3.12/site-packages/dateutil/tzwin.py
Normal file
@@ -0,0 +1,2 @@
|
||||
# tzwin has moved to dateutil.tz.win
|
||||
from .tz.win import *
|
||||
71
venv/lib/python3.12/site-packages/dateutil/utils.py
Normal file
71
venv/lib/python3.12/site-packages/dateutil/utils.py
Normal file
@@ -0,0 +1,71 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
This module offers general convenience and utility functions for dealing with
|
||||
datetimes.
|
||||
|
||||
.. versionadded:: 2.7.0
|
||||
"""
|
||||
from __future__ import unicode_literals
|
||||
|
||||
from datetime import datetime, time
|
||||
|
||||
|
||||
def today(tzinfo=None):
|
||||
"""
|
||||
Returns a :py:class:`datetime` representing the current day at midnight
|
||||
|
||||
:param tzinfo:
|
||||
The time zone to attach (also used to determine the current day).
|
||||
|
||||
:return:
|
||||
A :py:class:`datetime.datetime` object representing the current day
|
||||
at midnight.
|
||||
"""
|
||||
|
||||
dt = datetime.now(tzinfo)
|
||||
return datetime.combine(dt.date(), time(0, tzinfo=tzinfo))
|
||||
|
||||
|
||||
def default_tzinfo(dt, tzinfo):
|
||||
"""
|
||||
Sets the ``tzinfo`` parameter on naive datetimes only
|
||||
|
||||
This is useful for example when you are provided a datetime that may have
|
||||
either an implicit or explicit time zone, such as when parsing a time zone
|
||||
string.
|
||||
|
||||
.. doctest::
|
||||
|
||||
>>> from dateutil.tz import tzoffset
|
||||
>>> from dateutil.parser import parse
|
||||
>>> from dateutil.utils import default_tzinfo
|
||||
>>> dflt_tz = tzoffset("EST", -18000)
|
||||
>>> print(default_tzinfo(parse('2014-01-01 12:30 UTC'), dflt_tz))
|
||||
2014-01-01 12:30:00+00:00
|
||||
>>> print(default_tzinfo(parse('2014-01-01 12:30'), dflt_tz))
|
||||
2014-01-01 12:30:00-05:00
|
||||
|
||||
:param dt:
|
||||
The datetime on which to replace the time zone
|
||||
|
||||
:param tzinfo:
|
||||
The :py:class:`datetime.tzinfo` subclass instance to assign to
|
||||
``dt`` if (and only if) it is naive.
|
||||
|
||||
:return:
|
||||
Returns an aware :py:class:`datetime.datetime`.
|
||||
"""
|
||||
if dt.tzinfo is not None:
|
||||
return dt
|
||||
else:
|
||||
return dt.replace(tzinfo=tzinfo)
|
||||
|
||||
|
||||
def within_delta(dt1, dt2, delta):
|
||||
"""
|
||||
Useful for comparing two datetimes that may have a negligible difference
|
||||
to be considered equal.
|
||||
"""
|
||||
delta = abs(delta)
|
||||
difference = dt1 - dt2
|
||||
return -delta <= difference <= delta
|
||||
167
venv/lib/python3.12/site-packages/dateutil/zoneinfo/__init__.py
Normal file
167
venv/lib/python3.12/site-packages/dateutil/zoneinfo/__init__.py
Normal file
@@ -0,0 +1,167 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
import warnings
|
||||
import json
|
||||
|
||||
from tarfile import TarFile
|
||||
from pkgutil import get_data
|
||||
from io import BytesIO
|
||||
|
||||
from dateutil.tz import tzfile as _tzfile
|
||||
|
||||
__all__ = ["get_zonefile_instance", "gettz", "gettz_db_metadata"]
|
||||
|
||||
ZONEFILENAME = "dateutil-zoneinfo.tar.gz"
|
||||
METADATA_FN = 'METADATA'
|
||||
|
||||
|
||||
class tzfile(_tzfile):
|
||||
def __reduce__(self):
|
||||
return (gettz, (self._filename,))
|
||||
|
||||
|
||||
def getzoneinfofile_stream():
|
||||
try:
|
||||
return BytesIO(get_data(__name__, ZONEFILENAME))
|
||||
except IOError as e: # TODO switch to FileNotFoundError?
|
||||
warnings.warn("I/O error({0}): {1}".format(e.errno, e.strerror))
|
||||
return None
|
||||
|
||||
|
||||
class ZoneInfoFile(object):
|
||||
def __init__(self, zonefile_stream=None):
|
||||
if zonefile_stream is not None:
|
||||
with TarFile.open(fileobj=zonefile_stream) as tf:
|
||||
self.zones = {zf.name: tzfile(tf.extractfile(zf), filename=zf.name)
|
||||
for zf in tf.getmembers()
|
||||
if zf.isfile() and zf.name != METADATA_FN}
|
||||
# deal with links: They'll point to their parent object. Less
|
||||
# waste of memory
|
||||
links = {zl.name: self.zones[zl.linkname]
|
||||
for zl in tf.getmembers() if
|
||||
zl.islnk() or zl.issym()}
|
||||
self.zones.update(links)
|
||||
try:
|
||||
metadata_json = tf.extractfile(tf.getmember(METADATA_FN))
|
||||
metadata_str = metadata_json.read().decode('UTF-8')
|
||||
self.metadata = json.loads(metadata_str)
|
||||
except KeyError:
|
||||
# no metadata in tar file
|
||||
self.metadata = None
|
||||
else:
|
||||
self.zones = {}
|
||||
self.metadata = None
|
||||
|
||||
def get(self, name, default=None):
|
||||
"""
|
||||
Wrapper for :func:`ZoneInfoFile.zones.get`. This is a convenience method
|
||||
for retrieving zones from the zone dictionary.
|
||||
|
||||
:param name:
|
||||
The name of the zone to retrieve. (Generally IANA zone names)
|
||||
|
||||
:param default:
|
||||
The value to return in the event of a missing key.
|
||||
|
||||
.. versionadded:: 2.6.0
|
||||
|
||||
"""
|
||||
return self.zones.get(name, default)
|
||||
|
||||
|
||||
# The current API has gettz as a module function, although in fact it taps into
|
||||
# a stateful class. So as a workaround for now, without changing the API, we
|
||||
# will create a new "global" class instance the first time a user requests a
|
||||
# timezone. Ugly, but adheres to the api.
|
||||
#
|
||||
# TODO: Remove after deprecation period.
|
||||
_CLASS_ZONE_INSTANCE = []
|
||||
|
||||
|
||||
def get_zonefile_instance(new_instance=False):
|
||||
"""
|
||||
This is a convenience function which provides a :class:`ZoneInfoFile`
|
||||
instance using the data provided by the ``dateutil`` package. By default, it
|
||||
caches a single instance of the ZoneInfoFile object and returns that.
|
||||
|
||||
:param new_instance:
|
||||
If ``True``, a new instance of :class:`ZoneInfoFile` is instantiated and
|
||||
used as the cached instance for the next call. Otherwise, new instances
|
||||
are created only as necessary.
|
||||
|
||||
:return:
|
||||
Returns a :class:`ZoneInfoFile` object.
|
||||
|
||||
.. versionadded:: 2.6
|
||||
"""
|
||||
if new_instance:
|
||||
zif = None
|
||||
else:
|
||||
zif = getattr(get_zonefile_instance, '_cached_instance', None)
|
||||
|
||||
if zif is None:
|
||||
zif = ZoneInfoFile(getzoneinfofile_stream())
|
||||
|
||||
get_zonefile_instance._cached_instance = zif
|
||||
|
||||
return zif
|
||||
|
||||
|
||||
def gettz(name):
|
||||
"""
|
||||
This retrieves a time zone from the local zoneinfo tarball that is packaged
|
||||
with dateutil.
|
||||
|
||||
:param name:
|
||||
An IANA-style time zone name, as found in the zoneinfo file.
|
||||
|
||||
:return:
|
||||
Returns a :class:`dateutil.tz.tzfile` time zone object.
|
||||
|
||||
.. warning::
|
||||
It is generally inadvisable to use this function, and it is only
|
||||
provided for API compatibility with earlier versions. This is *not*
|
||||
equivalent to ``dateutil.tz.gettz()``, which selects an appropriate
|
||||
time zone based on the inputs, favoring system zoneinfo. This is ONLY
|
||||
for accessing the dateutil-specific zoneinfo (which may be out of
|
||||
date compared to the system zoneinfo).
|
||||
|
||||
.. deprecated:: 2.6
|
||||
If you need to use a specific zoneinfofile over the system zoneinfo,
|
||||
instantiate a :class:`dateutil.zoneinfo.ZoneInfoFile` object and call
|
||||
:func:`dateutil.zoneinfo.ZoneInfoFile.get(name)` instead.
|
||||
|
||||
Use :func:`get_zonefile_instance` to retrieve an instance of the
|
||||
dateutil-provided zoneinfo.
|
||||
"""
|
||||
warnings.warn("zoneinfo.gettz() will be removed in future versions, "
|
||||
"to use the dateutil-provided zoneinfo files, instantiate a "
|
||||
"ZoneInfoFile object and use ZoneInfoFile.zones.get() "
|
||||
"instead. See the documentation for details.",
|
||||
DeprecationWarning)
|
||||
|
||||
if len(_CLASS_ZONE_INSTANCE) == 0:
|
||||
_CLASS_ZONE_INSTANCE.append(ZoneInfoFile(getzoneinfofile_stream()))
|
||||
return _CLASS_ZONE_INSTANCE[0].zones.get(name)
|
||||
|
||||
|
||||
def gettz_db_metadata():
|
||||
""" Get the zonefile metadata
|
||||
|
||||
See `zonefile_metadata`_
|
||||
|
||||
:returns:
|
||||
A dictionary with the database metadata
|
||||
|
||||
.. deprecated:: 2.6
|
||||
See deprecation warning in :func:`zoneinfo.gettz`. To get metadata,
|
||||
query the attribute ``zoneinfo.ZoneInfoFile.metadata``.
|
||||
"""
|
||||
warnings.warn("zoneinfo.gettz_db_metadata() will be removed in future "
|
||||
"versions, to use the dateutil-provided zoneinfo files, "
|
||||
"ZoneInfoFile object and query the 'metadata' attribute "
|
||||
"instead. See the documentation for details.",
|
||||
DeprecationWarning)
|
||||
|
||||
if len(_CLASS_ZONE_INSTANCE) == 0:
|
||||
_CLASS_ZONE_INSTANCE.append(ZoneInfoFile(getzoneinfofile_stream()))
|
||||
return _CLASS_ZONE_INSTANCE[0].metadata
|
||||
Binary file not shown.
@@ -0,0 +1,75 @@
|
||||
import logging
|
||||
import os
|
||||
import tempfile
|
||||
import shutil
|
||||
import json
|
||||
from subprocess import check_call, check_output
|
||||
from tarfile import TarFile
|
||||
|
||||
from dateutil.zoneinfo import METADATA_FN, ZONEFILENAME
|
||||
|
||||
|
||||
def rebuild(filename, tag=None, format="gz", zonegroups=[], metadata=None):
|
||||
"""Rebuild the internal timezone info in dateutil/zoneinfo/zoneinfo*tar*
|
||||
|
||||
filename is the timezone tarball from ``ftp.iana.org/tz``.
|
||||
|
||||
"""
|
||||
tmpdir = tempfile.mkdtemp()
|
||||
zonedir = os.path.join(tmpdir, "zoneinfo")
|
||||
moduledir = os.path.dirname(__file__)
|
||||
try:
|
||||
with TarFile.open(filename) as tf:
|
||||
for name in zonegroups:
|
||||
tf.extract(name, tmpdir)
|
||||
filepaths = [os.path.join(tmpdir, n) for n in zonegroups]
|
||||
|
||||
_run_zic(zonedir, filepaths)
|
||||
|
||||
# write metadata file
|
||||
with open(os.path.join(zonedir, METADATA_FN), 'w') as f:
|
||||
json.dump(metadata, f, indent=4, sort_keys=True)
|
||||
target = os.path.join(moduledir, ZONEFILENAME)
|
||||
with TarFile.open(target, "w:%s" % format) as tf:
|
||||
for entry in os.listdir(zonedir):
|
||||
entrypath = os.path.join(zonedir, entry)
|
||||
tf.add(entrypath, entry)
|
||||
finally:
|
||||
shutil.rmtree(tmpdir)
|
||||
|
||||
|
||||
def _run_zic(zonedir, filepaths):
|
||||
"""Calls the ``zic`` compiler in a compatible way to get a "fat" binary.
|
||||
|
||||
Recent versions of ``zic`` default to ``-b slim``, while older versions
|
||||
don't even have the ``-b`` option (but default to "fat" binaries). The
|
||||
current version of dateutil does not support Version 2+ TZif files, which
|
||||
causes problems when used in conjunction with "slim" binaries, so this
|
||||
function is used to ensure that we always get a "fat" binary.
|
||||
"""
|
||||
|
||||
try:
|
||||
help_text = check_output(["zic", "--help"])
|
||||
except OSError as e:
|
||||
_print_on_nosuchfile(e)
|
||||
raise
|
||||
|
||||
if b"-b " in help_text:
|
||||
bloat_args = ["-b", "fat"]
|
||||
else:
|
||||
bloat_args = []
|
||||
|
||||
check_call(["zic"] + bloat_args + ["-d", zonedir] + filepaths)
|
||||
|
||||
|
||||
def _print_on_nosuchfile(e):
|
||||
"""Print helpful troubleshooting message
|
||||
|
||||
e is an exception raised by subprocess.check_call()
|
||||
|
||||
"""
|
||||
if e.errno == 2:
|
||||
logging.error(
|
||||
"Could not find zic. Perhaps you need to install "
|
||||
"libc-bin or some other package that provides it, "
|
||||
"or it's not in your PATH?")
|
||||
@@ -0,0 +1,5 @@
|
||||
The authors in alphabetical order
|
||||
|
||||
* Charlie Clark
|
||||
* Daniel Hillier
|
||||
* Elias Rabel
|
||||
@@ -0,0 +1 @@
|
||||
pip
|
||||
@@ -0,0 +1,298 @@
|
||||
et_xml is licensed under the MIT license; see the file LICENCE for details.
|
||||
|
||||
et_xml includes code from the Python standard library, which is licensed under
|
||||
the Python license, a permissive open source license. The copyright and license
|
||||
is included below for compliance with Python's terms.
|
||||
|
||||
This module includes corrections and new features as follows:
|
||||
- Correct handling of attributes namespaces when a default namespace
|
||||
has been registered.
|
||||
- Records the namespaces for an Element during parsing and utilises them to
|
||||
allow inspection of namespaces at specific elements in the xml tree and
|
||||
during serialisation.
|
||||
|
||||
Misc:
|
||||
- Includes the test_xml_etree with small modifications for testing the
|
||||
modifications in this package.
|
||||
|
||||
----------------------------------------------------------------------
|
||||
|
||||
Copyright (c) 2001-present Python Software Foundation; All Rights Reserved
|
||||
|
||||
A. HISTORY OF THE SOFTWARE
|
||||
==========================
|
||||
|
||||
Python was created in the early 1990s by Guido van Rossum at Stichting
|
||||
Mathematisch Centrum (CWI, see https://www.cwi.nl) in the Netherlands
|
||||
as a successor of a language called ABC. Guido remains Python's
|
||||
principal author, although it includes many contributions from others.
|
||||
|
||||
In 1995, Guido continued his work on Python at the Corporation for
|
||||
National Research Initiatives (CNRI, see https://www.cnri.reston.va.us)
|
||||
in Reston, Virginia where he released several versions of the
|
||||
software.
|
||||
|
||||
In May 2000, Guido and the Python core development team moved to
|
||||
BeOpen.com to form the BeOpen PythonLabs team. In October of the same
|
||||
year, the PythonLabs team moved to Digital Creations, which became
|
||||
Zope Corporation. In 2001, the Python Software Foundation (PSF, see
|
||||
https://www.python.org/psf/) was formed, a non-profit organization
|
||||
created specifically to own Python-related Intellectual Property.
|
||||
Zope Corporation was a sponsoring member of the PSF.
|
||||
|
||||
All Python releases are Open Source (see https://opensource.org for
|
||||
the Open Source Definition). Historically, most, but not all, Python
|
||||
releases have also been GPL-compatible; the table below summarizes
|
||||
the various releases.
|
||||
|
||||
Release Derived Year Owner GPL-
|
||||
from compatible? (1)
|
||||
|
||||
0.9.0 thru 1.2 1991-1995 CWI yes
|
||||
1.3 thru 1.5.2 1.2 1995-1999 CNRI yes
|
||||
1.6 1.5.2 2000 CNRI no
|
||||
2.0 1.6 2000 BeOpen.com no
|
||||
1.6.1 1.6 2001 CNRI yes (2)
|
||||
2.1 2.0+1.6.1 2001 PSF no
|
||||
2.0.1 2.0+1.6.1 2001 PSF yes
|
||||
2.1.1 2.1+2.0.1 2001 PSF yes
|
||||
2.1.2 2.1.1 2002 PSF yes
|
||||
2.1.3 2.1.2 2002 PSF yes
|
||||
2.2 and above 2.1.1 2001-now PSF yes
|
||||
|
||||
Footnotes:
|
||||
|
||||
(1) GPL-compatible doesn't mean that we're distributing Python under
|
||||
the GPL. All Python licenses, unlike the GPL, let you distribute
|
||||
a modified version without making your changes open source. The
|
||||
GPL-compatible licenses make it possible to combine Python with
|
||||
other software that is released under the GPL; the others don't.
|
||||
|
||||
(2) According to Richard Stallman, 1.6.1 is not GPL-compatible,
|
||||
because its license has a choice of law clause. According to
|
||||
CNRI, however, Stallman's lawyer has told CNRI's lawyer that 1.6.1
|
||||
is "not incompatible" with the GPL.
|
||||
|
||||
Thanks to the many outside volunteers who have worked under Guido's
|
||||
direction to make these releases possible.
|
||||
|
||||
|
||||
B. TERMS AND CONDITIONS FOR ACCESSING OR OTHERWISE USING PYTHON
|
||||
===============================================================
|
||||
|
||||
Python software and documentation are licensed under the
|
||||
Python Software Foundation License Version 2.
|
||||
|
||||
Starting with Python 3.8.6, examples, recipes, and other code in
|
||||
the documentation are dual licensed under the PSF License Version 2
|
||||
and the Zero-Clause BSD license.
|
||||
|
||||
Some software incorporated into Python is under different licenses.
|
||||
The licenses are listed with code falling under that license.
|
||||
|
||||
|
||||
PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2
|
||||
--------------------------------------------
|
||||
|
||||
1. This LICENSE AGREEMENT is between the Python Software Foundation
|
||||
("PSF"), and the Individual or Organization ("Licensee") accessing and
|
||||
otherwise using this software ("Python") in source or binary form and
|
||||
its associated documentation.
|
||||
|
||||
2. Subject to the terms and conditions of this License Agreement, PSF hereby
|
||||
grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce,
|
||||
analyze, test, perform and/or display publicly, prepare derivative works,
|
||||
distribute, and otherwise use Python alone or in any derivative version,
|
||||
provided, however, that PSF's License Agreement and PSF's notice of copyright,
|
||||
i.e., "Copyright (c) 2001-2024 Python Software Foundation; All Rights Reserved"
|
||||
are retained in Python alone or in any derivative version prepared by Licensee.
|
||||
|
||||
3. In the event Licensee prepares a derivative work that is based on
|
||||
or incorporates Python or any part thereof, and wants to make
|
||||
the derivative work available to others as provided herein, then
|
||||
Licensee hereby agrees to include in any such work a brief summary of
|
||||
the changes made to Python.
|
||||
|
||||
4. PSF is making Python available to Licensee on an "AS IS"
|
||||
basis. PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
|
||||
IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND
|
||||
DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
|
||||
FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT
|
||||
INFRINGE ANY THIRD PARTY RIGHTS.
|
||||
|
||||
5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
|
||||
FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
|
||||
A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON,
|
||||
OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
|
||||
|
||||
6. This License Agreement will automatically terminate upon a material
|
||||
breach of its terms and conditions.
|
||||
|
||||
7. Nothing in this License Agreement shall be deemed to create any
|
||||
relationship of agency, partnership, or joint venture between PSF and
|
||||
Licensee. This License Agreement does not grant permission to use PSF
|
||||
trademarks or trade name in a trademark sense to endorse or promote
|
||||
products or services of Licensee, or any third party.
|
||||
|
||||
8. By copying, installing or otherwise using Python, Licensee
|
||||
agrees to be bound by the terms and conditions of this License
|
||||
Agreement.
|
||||
|
||||
|
||||
BEOPEN.COM LICENSE AGREEMENT FOR PYTHON 2.0
|
||||
-------------------------------------------
|
||||
|
||||
BEOPEN PYTHON OPEN SOURCE LICENSE AGREEMENT VERSION 1
|
||||
|
||||
1. This LICENSE AGREEMENT is between BeOpen.com ("BeOpen"), having an
|
||||
office at 160 Saratoga Avenue, Santa Clara, CA 95051, and the
|
||||
Individual or Organization ("Licensee") accessing and otherwise using
|
||||
this software in source or binary form and its associated
|
||||
documentation ("the Software").
|
||||
|
||||
2. Subject to the terms and conditions of this BeOpen Python License
|
||||
Agreement, BeOpen hereby grants Licensee a non-exclusive,
|
||||
royalty-free, world-wide license to reproduce, analyze, test, perform
|
||||
and/or display publicly, prepare derivative works, distribute, and
|
||||
otherwise use the Software alone or in any derivative version,
|
||||
provided, however, that the BeOpen Python License is retained in the
|
||||
Software, alone or in any derivative version prepared by Licensee.
|
||||
|
||||
3. BeOpen is making the Software available to Licensee on an "AS IS"
|
||||
basis. BEOPEN MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
|
||||
IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, BEOPEN MAKES NO AND
|
||||
DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
|
||||
FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF THE SOFTWARE WILL NOT
|
||||
INFRINGE ANY THIRD PARTY RIGHTS.
|
||||
|
||||
4. BEOPEN SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF THE
|
||||
SOFTWARE FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS
|
||||
AS A RESULT OF USING, MODIFYING OR DISTRIBUTING THE SOFTWARE, OR ANY
|
||||
DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
|
||||
|
||||
5. This License Agreement will automatically terminate upon a material
|
||||
breach of its terms and conditions.
|
||||
|
||||
6. This License Agreement shall be governed by and interpreted in all
|
||||
respects by the law of the State of California, excluding conflict of
|
||||
law provisions. Nothing in this License Agreement shall be deemed to
|
||||
create any relationship of agency, partnership, or joint venture
|
||||
between BeOpen and Licensee. This License Agreement does not grant
|
||||
permission to use BeOpen trademarks or trade names in a trademark
|
||||
sense to endorse or promote products or services of Licensee, or any
|
||||
third party. As an exception, the "BeOpen Python" logos available at
|
||||
http://www.pythonlabs.com/logos.html may be used according to the
|
||||
permissions granted on that web page.
|
||||
|
||||
7. By copying, installing or otherwise using the software, Licensee
|
||||
agrees to be bound by the terms and conditions of this License
|
||||
Agreement.
|
||||
|
||||
|
||||
CNRI LICENSE AGREEMENT FOR PYTHON 1.6.1
|
||||
---------------------------------------
|
||||
|
||||
1. This LICENSE AGREEMENT is between the Corporation for National
|
||||
Research Initiatives, having an office at 1895 Preston White Drive,
|
||||
Reston, VA 20191 ("CNRI"), and the Individual or Organization
|
||||
("Licensee") accessing and otherwise using Python 1.6.1 software in
|
||||
source or binary form and its associated documentation.
|
||||
|
||||
2. Subject to the terms and conditions of this License Agreement, CNRI
|
||||
hereby grants Licensee a nonexclusive, royalty-free, world-wide
|
||||
license to reproduce, analyze, test, perform and/or display publicly,
|
||||
prepare derivative works, distribute, and otherwise use Python 1.6.1
|
||||
alone or in any derivative version, provided, however, that CNRI's
|
||||
License Agreement and CNRI's notice of copyright, i.e., "Copyright (c)
|
||||
1995-2001 Corporation for National Research Initiatives; All Rights
|
||||
Reserved" are retained in Python 1.6.1 alone or in any derivative
|
||||
version prepared by Licensee. Alternately, in lieu of CNRI's License
|
||||
Agreement, Licensee may substitute the following text (omitting the
|
||||
quotes): "Python 1.6.1 is made available subject to the terms and
|
||||
conditions in CNRI's License Agreement. This Agreement together with
|
||||
Python 1.6.1 may be located on the internet using the following
|
||||
unique, persistent identifier (known as a handle): 1895.22/1013. This
|
||||
Agreement may also be obtained from a proxy server on the internet
|
||||
using the following URL: http://hdl.handle.net/1895.22/1013".
|
||||
|
||||
3. In the event Licensee prepares a derivative work that is based on
|
||||
or incorporates Python 1.6.1 or any part thereof, and wants to make
|
||||
the derivative work available to others as provided herein, then
|
||||
Licensee hereby agrees to include in any such work a brief summary of
|
||||
the changes made to Python 1.6.1.
|
||||
|
||||
4. CNRI is making Python 1.6.1 available to Licensee on an "AS IS"
|
||||
basis. CNRI MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
|
||||
IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, CNRI MAKES NO AND
|
||||
DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
|
||||
FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON 1.6.1 WILL NOT
|
||||
INFRINGE ANY THIRD PARTY RIGHTS.
|
||||
|
||||
5. CNRI SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON
|
||||
1.6.1 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS
|
||||
A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON 1.6.1,
|
||||
OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF.
|
||||
|
||||
6. This License Agreement will automatically terminate upon a material
|
||||
breach of its terms and conditions.
|
||||
|
||||
7. This License Agreement shall be governed by the federal
|
||||
intellectual property law of the United States, including without
|
||||
limitation the federal copyright law, and, to the extent such
|
||||
U.S. federal law does not apply, by the law of the Commonwealth of
|
||||
Virginia, excluding Virginia's conflict of law provisions.
|
||||
Notwithstanding the foregoing, with regard to derivative works based
|
||||
on Python 1.6.1 that incorporate non-separable material that was
|
||||
previously distributed under the GNU General Public License (GPL), the
|
||||
law of the Commonwealth of Virginia shall govern this License
|
||||
Agreement only as to issues arising under or with respect to
|
||||
Paragraphs 4, 5, and 7 of this License Agreement. Nothing in this
|
||||
License Agreement shall be deemed to create any relationship of
|
||||
agency, partnership, or joint venture between CNRI and Licensee. This
|
||||
License Agreement does not grant permission to use CNRI trademarks or
|
||||
trade name in a trademark sense to endorse or promote products or
|
||||
services of Licensee, or any third party.
|
||||
|
||||
8. By clicking on the "ACCEPT" button where indicated, or by copying,
|
||||
installing or otherwise using Python 1.6.1, Licensee agrees to be
|
||||
bound by the terms and conditions of this License Agreement.
|
||||
|
||||
ACCEPT
|
||||
|
||||
|
||||
CWI LICENSE AGREEMENT FOR PYTHON 0.9.0 THROUGH 1.2
|
||||
--------------------------------------------------
|
||||
|
||||
Copyright (c) 1991 - 1995, Stichting Mathematisch Centrum Amsterdam,
|
||||
The Netherlands. All rights reserved.
|
||||
|
||||
Permission to use, copy, modify, and distribute this software and its
|
||||
documentation for any purpose and without fee is hereby granted,
|
||||
provided that the above copyright notice appear in all copies and that
|
||||
both that copyright notice and this permission notice appear in
|
||||
supporting documentation, and that the name of Stichting Mathematisch
|
||||
Centrum or CWI not be used in advertising or publicity pertaining to
|
||||
distribution of the software without specific, written prior
|
||||
permission.
|
||||
|
||||
STICHTING MATHEMATISCH CENTRUM DISCLAIMS ALL WARRANTIES WITH REGARD TO
|
||||
THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
|
||||
FITNESS, IN NO EVENT SHALL STICHTING MATHEMATISCH CENTRUM BE LIABLE
|
||||
FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
|
||||
WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
|
||||
ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT
|
||||
OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
|
||||
|
||||
ZERO-CLAUSE BSD LICENSE FOR CODE IN THE PYTHON DOCUMENTATION
|
||||
----------------------------------------------------------------------
|
||||
|
||||
Permission to use, copy, modify, and/or distribute this software for any
|
||||
purpose with or without fee is hereby granted.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
|
||||
REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
|
||||
AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
|
||||
INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
|
||||
LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
|
||||
OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
|
||||
PERFORMANCE OF THIS SOFTWARE.
|
||||
@@ -0,0 +1,23 @@
|
||||
This software is under the MIT Licence
|
||||
======================================
|
||||
|
||||
Copyright (c) 2010 openpyxl
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a
|
||||
copy of this software and associated documentation files (the
|
||||
"Software"), to deal in the Software without restriction, including
|
||||
without limitation the rights to use, copy, modify, merge, publish,
|
||||
distribute, sublicense, and/or sell copies of the Software, and to
|
||||
permit persons to whom the Software is furnished to do so, subject to
|
||||
the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included
|
||||
in all copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
|
||||
OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
|
||||
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
|
||||
IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
|
||||
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
|
||||
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
|
||||
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
@@ -0,0 +1,51 @@
|
||||
Metadata-Version: 2.1
|
||||
Name: et_xmlfile
|
||||
Version: 2.0.0
|
||||
Summary: An implementation of lxml.xmlfile for the standard library
|
||||
Home-page: https://foss.heptapod.net/openpyxl/et_xmlfile
|
||||
Author: See AUTHORS.txt
|
||||
Author-email: charlie.clark@clark-consulting.eu
|
||||
License: MIT
|
||||
Project-URL: Documentation, https://openpyxl.pages.heptapod.net/et_xmlfile/
|
||||
Project-URL: Source, https://foss.heptapod.net/openpyxl/et_xmlfile
|
||||
Project-URL: Tracker, https://foss.heptapod.net/openpyxl/et_xmfile/-/issues
|
||||
Classifier: Development Status :: 5 - Production/Stable
|
||||
Classifier: Operating System :: MacOS :: MacOS X
|
||||
Classifier: Operating System :: Microsoft :: Windows
|
||||
Classifier: Operating System :: POSIX
|
||||
Classifier: License :: OSI Approved :: MIT License
|
||||
Classifier: Programming Language :: Python
|
||||
Classifier: Programming Language :: Python :: 3.8
|
||||
Classifier: Programming Language :: Python :: 3.9
|
||||
Classifier: Programming Language :: Python :: 3.10
|
||||
Classifier: Programming Language :: Python :: 3.11
|
||||
Classifier: Programming Language :: Python :: 3.12
|
||||
Classifier: Programming Language :: Python :: 3.13
|
||||
Requires-Python: >=3.8
|
||||
License-File: LICENCE.python
|
||||
License-File: LICENCE.rst
|
||||
License-File: AUTHORS.txt
|
||||
|
||||
.. image:: https://foss.heptapod.net/openpyxl/et_xmlfile/badges/branch/default/coverage.svg
|
||||
:target: https://coveralls.io/bitbucket/openpyxl/et_xmlfile?branch=default
|
||||
:alt: coverage status
|
||||
|
||||
et_xmfile
|
||||
=========
|
||||
|
||||
XML can use lots of memory, and et_xmlfile is a low memory library for creating large XML files
|
||||
And, although the standard library already includes an incremental parser, `iterparse` it has no equivalent when writing XML. Once an element has been added to the tree, it is written to
|
||||
the file or stream and the memory is then cleared.
|
||||
|
||||
This module is based upon the `xmlfile module from lxml <http://lxml.de/api.html#incremental-xml-generation>`_ with the aim of allowing code to be developed that will work with both libraries.
|
||||
It was developed initially for the openpyxl project, but is now a standalone module.
|
||||
|
||||
The code was written by Elias Rabel as part of the `Python Düsseldorf <http://pyddf.de>`_ openpyxl sprint in September 2014.
|
||||
|
||||
Proper support for incremental writing was provided by Daniel Hillier in 2024
|
||||
|
||||
Note on performance
|
||||
-------------------
|
||||
|
||||
The code was not developed with performance in mind, but turned out to be faster than the existing SAX-based implementation but is generally slower than lxml's xmlfile.
|
||||
There is one area where an optimisation for lxml may negatively affect the performance of et_xmfile and that is when using the `.element()` method on the xmlfile context manager. It is, therefore, recommended simply to create Elements write these directly, as in the sample code.
|
||||
@@ -0,0 +1,14 @@
|
||||
et_xmlfile-2.0.0.dist-info/AUTHORS.txt,sha256=fwOAKepUY2Bd0ieNMACZo4G86ekN2oPMqyBCNGtsgQc,82
|
||||
et_xmlfile-2.0.0.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
|
||||
et_xmlfile-2.0.0.dist-info/LICENCE.python,sha256=TM2q68D0S4NyDsA5m7erMprc4GfdYvc8VTWi3AViirI,14688
|
||||
et_xmlfile-2.0.0.dist-info/LICENCE.rst,sha256=DIS7QvXTZ-Xr-fwt3jWxYUHfXuD9wYklCFi8bFVg9p4,1131
|
||||
et_xmlfile-2.0.0.dist-info/METADATA,sha256=DpfX6pCe0PvgPYi8i29YZ3zuGwe9M1PONhzSQFkVIE4,2711
|
||||
et_xmlfile-2.0.0.dist-info/RECORD,,
|
||||
et_xmlfile-2.0.0.dist-info/WHEEL,sha256=HiCZjzuy6Dw0hdX5R3LCFPDmFS4BWl8H-8W39XfmgX4,91
|
||||
et_xmlfile-2.0.0.dist-info/top_level.txt,sha256=34-74d5NNARgTsPxCMta5o28XpBNmSN0iCZhtmx2Fk8,11
|
||||
et_xmlfile/__init__.py,sha256=AQ4_2cNUEyUHlHo-Y3Gd6-8S_6eyKd55jYO4eh23UHw,228
|
||||
et_xmlfile/__pycache__/__init__.cpython-312.pyc,,
|
||||
et_xmlfile/__pycache__/incremental_tree.cpython-312.pyc,,
|
||||
et_xmlfile/__pycache__/xmlfile.cpython-312.pyc,,
|
||||
et_xmlfile/incremental_tree.py,sha256=lX4VStfzUNK0jtrVsvshPENu7E_zQirglkyRtzGDwEg,34534
|
||||
et_xmlfile/xmlfile.py,sha256=6QdxBq2P0Cf35R-oyXjLl5wOItfJJ4Yy6AlIF9RX7Bg,4886
|
||||
@@ -0,0 +1,5 @@
|
||||
Wheel-Version: 1.0
|
||||
Generator: setuptools (72.2.0)
|
||||
Root-Is-Purelib: true
|
||||
Tag: py3-none-any
|
||||
|
||||
@@ -0,0 +1 @@
|
||||
et_xmlfile
|
||||
8
venv/lib/python3.12/site-packages/et_xmlfile/__init__.py
Normal file
8
venv/lib/python3.12/site-packages/et_xmlfile/__init__.py
Normal file
@@ -0,0 +1,8 @@
|
||||
from .xmlfile import xmlfile
|
||||
|
||||
# constants
|
||||
__version__ = '2.0.0'
|
||||
__author__ = 'See AUTHORS.txt'
|
||||
__license__ = 'MIT'
|
||||
__author_email__ = 'charlie.clark@clark-consulting.eu'
|
||||
__url__ = 'https://foss.heptapod.net/openpyxl/et_xmlfile'
|
||||
917
venv/lib/python3.12/site-packages/et_xmlfile/incremental_tree.py
Normal file
917
venv/lib/python3.12/site-packages/et_xmlfile/incremental_tree.py
Normal file
@@ -0,0 +1,917 @@
|
||||
# Code modified from cPython's Lib/xml/etree/ElementTree.py
|
||||
# The write() code is modified to allow specifying a particular namespace
|
||||
# uri -> prefix mapping.
|
||||
#
|
||||
# ---------------------------------------------------------------------
|
||||
# Licensed to PSF under a Contributor Agreement.
|
||||
# See https://www.python.org/psf/license for licensing details.
|
||||
#
|
||||
# ElementTree
|
||||
# Copyright (c) 1999-2008 by Fredrik Lundh. All rights reserved.
|
||||
#
|
||||
# fredrik@pythonware.com
|
||||
# http://www.pythonware.com
|
||||
# --------------------------------------------------------------------
|
||||
# The ElementTree toolkit is
|
||||
#
|
||||
# Copyright (c) 1999-2008 by Fredrik Lundh
|
||||
#
|
||||
# By obtaining, using, and/or copying this software and/or its
|
||||
# associated documentation, you agree that you have read, understood,
|
||||
# and will comply with the following terms and conditions:
|
||||
#
|
||||
# Permission to use, copy, modify, and distribute this software and
|
||||
# its associated documentation for any purpose and without fee is
|
||||
# hereby granted, provided that the above copyright notice appears in
|
||||
# all copies, and that both that copyright notice and this permission
|
||||
# notice appear in supporting documentation, and that the name of
|
||||
# Secret Labs AB or the author not be used in advertising or publicity
|
||||
# pertaining to distribution of the software without specific, written
|
||||
# prior permission.
|
||||
#
|
||||
# SECRET LABS AB AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD
|
||||
# TO THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANT-
|
||||
# ABILITY AND FITNESS. IN NO EVENT SHALL SECRET LABS AB OR THE AUTHOR
|
||||
# BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY
|
||||
# DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
|
||||
# WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
|
||||
# ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
|
||||
# OF THIS SOFTWARE.
|
||||
# --------------------------------------------------------------------
|
||||
import contextlib
|
||||
import io
|
||||
|
||||
import xml.etree.ElementTree as ET
|
||||
|
||||
|
||||
def current_global_nsmap():
|
||||
return {
|
||||
prefix: uri for uri, prefix in ET._namespace_map.items()
|
||||
}
|
||||
|
||||
|
||||
class IncrementalTree(ET.ElementTree):
|
||||
|
||||
def write(
|
||||
self,
|
||||
file_or_filename,
|
||||
encoding=None,
|
||||
xml_declaration=None,
|
||||
default_namespace=None,
|
||||
method=None,
|
||||
*,
|
||||
short_empty_elements=True,
|
||||
nsmap=None,
|
||||
root_ns_only=False,
|
||||
minimal_ns_only=False,
|
||||
):
|
||||
"""Write element tree to a file as XML.
|
||||
|
||||
Arguments:
|
||||
*file_or_filename* -- file name or a file object opened for writing
|
||||
|
||||
*encoding* -- the output encoding (default: US-ASCII)
|
||||
|
||||
*xml_declaration* -- bool indicating if an XML declaration should be
|
||||
added to the output. If None, an XML declaration
|
||||
is added if encoding IS NOT either of:
|
||||
US-ASCII, UTF-8, or Unicode
|
||||
|
||||
*default_namespace* -- sets the default XML namespace (for "xmlns").
|
||||
Takes precedence over any default namespace
|
||||
provided in nsmap or
|
||||
xml.etree.ElementTree.register_namespace().
|
||||
|
||||
*method* -- either "xml" (default), "html, "text", or "c14n"
|
||||
|
||||
*short_empty_elements* -- controls the formatting of elements
|
||||
that contain no content. If True (default)
|
||||
they are emitted as a single self-closed
|
||||
tag, otherwise they are emitted as a pair
|
||||
of start/end tags
|
||||
|
||||
*nsmap* -- a mapping of namespace prefixes to URIs. These take
|
||||
precedence over any mappings registered using
|
||||
xml.etree.ElementTree.register_namespace(). The
|
||||
default_namespace argument, if supplied, takes precedence
|
||||
over any default namespace supplied in nsmap. All supplied
|
||||
namespaces will be declared on the root element, even if
|
||||
unused in the document.
|
||||
|
||||
*root_ns_only* -- bool indicating namespace declrations should only
|
||||
be written on the root element. This requires two
|
||||
passes of the xml tree adding additional time to
|
||||
the writing process. This is primarily meant to
|
||||
mimic xml.etree.ElementTree's behaviour.
|
||||
|
||||
*minimal_ns_only* -- bool indicating only namespaces that were used
|
||||
to qualify elements or attributes should be
|
||||
declared. All namespace declarations will be
|
||||
written on the root element regardless of the
|
||||
value of the root_ns_only arg. Requires two
|
||||
passes of the xml tree adding additional time to
|
||||
the writing process.
|
||||
|
||||
"""
|
||||
if not method:
|
||||
method = "xml"
|
||||
elif method not in ("text", "xml", "html"):
|
||||
raise ValueError("unknown method %r" % method)
|
||||
if not encoding:
|
||||
encoding = "us-ascii"
|
||||
|
||||
with _get_writer(file_or_filename, encoding) as (write, declared_encoding):
|
||||
if method == "xml" and (
|
||||
xml_declaration
|
||||
or (
|
||||
xml_declaration is None
|
||||
and encoding.lower() != "unicode"
|
||||
and declared_encoding.lower() not in ("utf-8", "us-ascii")
|
||||
)
|
||||
):
|
||||
write("<?xml version='1.0' encoding='%s'?>\n" % (declared_encoding,))
|
||||
if method == "text":
|
||||
ET._serialize_text(write, self._root)
|
||||
else:
|
||||
if method == "xml":
|
||||
is_html = False
|
||||
else:
|
||||
is_html = True
|
||||
if nsmap:
|
||||
if None in nsmap:
|
||||
raise ValueError(
|
||||
'Found None as default nsmap prefix in nsmap. '
|
||||
'Use "" as the default namespace prefix.'
|
||||
)
|
||||
new_nsmap = nsmap.copy()
|
||||
else:
|
||||
new_nsmap = {}
|
||||
if default_namespace:
|
||||
new_nsmap[""] = default_namespace
|
||||
if root_ns_only or minimal_ns_only:
|
||||
# _namespaces returns a mapping of only the namespaces that
|
||||
# were used.
|
||||
new_nsmap = _namespaces(
|
||||
self._root,
|
||||
default_namespace,
|
||||
new_nsmap,
|
||||
)
|
||||
if not minimal_ns_only:
|
||||
if nsmap:
|
||||
# We want all namespaces defined in the provided
|
||||
# nsmap to be declared regardless of whether
|
||||
# they've been used.
|
||||
new_nsmap.update(nsmap)
|
||||
if default_namespace:
|
||||
new_nsmap[""] = default_namespace
|
||||
global_nsmap = {
|
||||
prefix: uri for uri, prefix in ET._namespace_map.items()
|
||||
}
|
||||
if None in global_nsmap:
|
||||
raise ValueError(
|
||||
'Found None as default nsmap prefix in nsmap registered with '
|
||||
'register_namespace. Use "" for the default namespace prefix.'
|
||||
)
|
||||
nsmap_scope = {}
|
||||
_serialize_ns_xml(
|
||||
write,
|
||||
self._root,
|
||||
nsmap_scope,
|
||||
global_nsmap,
|
||||
is_html=is_html,
|
||||
is_root=True,
|
||||
short_empty_elements=short_empty_elements,
|
||||
new_nsmap=new_nsmap,
|
||||
)
|
||||
|
||||
|
||||
def _make_new_ns_prefix(
|
||||
nsmap_scope,
|
||||
global_prefixes,
|
||||
local_nsmap=None,
|
||||
default_namespace=None,
|
||||
):
|
||||
i = len(nsmap_scope)
|
||||
if default_namespace is not None and "" not in nsmap_scope:
|
||||
# Keep the same numbering scheme as python which assumes the default
|
||||
# namespace is present if supplied.
|
||||
i += 1
|
||||
|
||||
while True:
|
||||
prefix = f"ns{i}"
|
||||
if (
|
||||
prefix not in nsmap_scope
|
||||
and prefix not in global_prefixes
|
||||
and (
|
||||
not local_nsmap or prefix not in local_nsmap
|
||||
)
|
||||
):
|
||||
return prefix
|
||||
i += 1
|
||||
|
||||
|
||||
def _get_or_create_prefix(
|
||||
uri,
|
||||
nsmap_scope,
|
||||
global_nsmap,
|
||||
new_namespace_prefixes,
|
||||
uri_to_prefix,
|
||||
for_default_namespace_attr_prefix=False,
|
||||
):
|
||||
"""Find a prefix that doesn't conflict with the ns scope or create a new prefix
|
||||
|
||||
This function mutates nsmap_scope, global_nsmap, new_namespace_prefixes and
|
||||
uri_to_prefix. It is intended to keep state in _serialize_ns_xml consistent
|
||||
while deduplicating the house keeping code or updating these dictionaries.
|
||||
"""
|
||||
# Check if we can reuse an existing (global) prefix within the current
|
||||
# namespace scope. There maybe many prefixes pointing to a single URI by
|
||||
# this point and we need to select a prefix that is not in use in the
|
||||
# current scope.
|
||||
for global_prefix, global_uri in global_nsmap.items():
|
||||
if uri == global_uri and global_prefix not in nsmap_scope:
|
||||
prefix = global_prefix
|
||||
break
|
||||
else: # no break
|
||||
# We couldn't find a suitable existing prefix for this namespace scope,
|
||||
# let's create a new one.
|
||||
prefix = _make_new_ns_prefix(nsmap_scope, global_prefixes=global_nsmap)
|
||||
global_nsmap[prefix] = uri
|
||||
nsmap_scope[prefix] = uri
|
||||
if not for_default_namespace_attr_prefix:
|
||||
# Don't override the actual default namespace prefix
|
||||
uri_to_prefix[uri] = prefix
|
||||
if prefix != "xml":
|
||||
new_namespace_prefixes.add(prefix)
|
||||
return prefix
|
||||
|
||||
|
||||
def _find_default_namespace_attr_prefix(
|
||||
default_namespace,
|
||||
nsmap,
|
||||
local_nsmap,
|
||||
global_prefixes,
|
||||
provided_default_namespace=None,
|
||||
):
|
||||
# Search the provided nsmap for any prefixes for this uri that aren't the
|
||||
# default namespace ""
|
||||
for prefix, uri in nsmap.items():
|
||||
if uri == default_namespace and prefix != "":
|
||||
return prefix
|
||||
|
||||
for prefix, uri in local_nsmap.items():
|
||||
if uri == default_namespace and prefix != "":
|
||||
return prefix
|
||||
|
||||
# _namespace_map is a 1:1 mapping of uri -> prefix
|
||||
prefix = ET._namespace_map.get(default_namespace)
|
||||
if prefix and prefix not in nsmap:
|
||||
return prefix
|
||||
|
||||
return _make_new_ns_prefix(
|
||||
nsmap,
|
||||
global_prefixes,
|
||||
local_nsmap,
|
||||
provided_default_namespace,
|
||||
)
|
||||
|
||||
|
||||
def process_attribs(
|
||||
elem,
|
||||
is_nsmap_scope_changed,
|
||||
default_ns_attr_prefix,
|
||||
nsmap_scope,
|
||||
global_nsmap,
|
||||
new_namespace_prefixes,
|
||||
uri_to_prefix,
|
||||
):
|
||||
item_parts = []
|
||||
for k, v in elem.items():
|
||||
if isinstance(k, ET.QName):
|
||||
k = k.text
|
||||
try:
|
||||
if k[:1] == "{":
|
||||
uri_and_name = k[1:].rsplit("}", 1)
|
||||
try:
|
||||
prefix = uri_to_prefix[uri_and_name[0]]
|
||||
except KeyError:
|
||||
if not is_nsmap_scope_changed:
|
||||
# We're about to mutate the these dicts so
|
||||
# let's copy them first. We don't have to
|
||||
# recompute other mappings as we're looking up
|
||||
# or creating a new prefix
|
||||
nsmap_scope = nsmap_scope.copy()
|
||||
uri_to_prefix = uri_to_prefix.copy()
|
||||
is_nsmap_scope_changed = True
|
||||
prefix = _get_or_create_prefix(
|
||||
uri_and_name[0],
|
||||
nsmap_scope,
|
||||
global_nsmap,
|
||||
new_namespace_prefixes,
|
||||
uri_to_prefix,
|
||||
)
|
||||
|
||||
if not prefix:
|
||||
if default_ns_attr_prefix:
|
||||
prefix = default_ns_attr_prefix
|
||||
else:
|
||||
for prefix, known_uri in nsmap_scope.items():
|
||||
if known_uri == uri_and_name[0] and prefix != "":
|
||||
default_ns_attr_prefix = prefix
|
||||
break
|
||||
else: # no break
|
||||
if not is_nsmap_scope_changed:
|
||||
# We're about to mutate the these dicts so
|
||||
# let's copy them first. We don't have to
|
||||
# recompute other mappings as we're looking up
|
||||
# or creating a new prefix
|
||||
nsmap_scope = nsmap_scope.copy()
|
||||
uri_to_prefix = uri_to_prefix.copy()
|
||||
is_nsmap_scope_changed = True
|
||||
prefix = _get_or_create_prefix(
|
||||
uri_and_name[0],
|
||||
nsmap_scope,
|
||||
global_nsmap,
|
||||
new_namespace_prefixes,
|
||||
uri_to_prefix,
|
||||
for_default_namespace_attr_prefix=True,
|
||||
)
|
||||
default_ns_attr_prefix = prefix
|
||||
k = f"{prefix}:{uri_and_name[1]}"
|
||||
except TypeError:
|
||||
ET._raise_serialization_error(k)
|
||||
|
||||
if isinstance(v, ET.QName):
|
||||
if v.text[:1] != "{":
|
||||
v = v.text
|
||||
else:
|
||||
uri_and_name = v.text[1:].rsplit("}", 1)
|
||||
try:
|
||||
prefix = uri_to_prefix[uri_and_name[0]]
|
||||
except KeyError:
|
||||
if not is_nsmap_scope_changed:
|
||||
# We're about to mutate the these dicts so
|
||||
# let's copy them first. We don't have to
|
||||
# recompute other mappings as we're looking up
|
||||
# or creating a new prefix
|
||||
nsmap_scope = nsmap_scope.copy()
|
||||
uri_to_prefix = uri_to_prefix.copy()
|
||||
is_nsmap_scope_changed = True
|
||||
prefix = _get_or_create_prefix(
|
||||
uri_and_name[0],
|
||||
nsmap_scope,
|
||||
global_nsmap,
|
||||
new_namespace_prefixes,
|
||||
uri_to_prefix,
|
||||
)
|
||||
v = f"{prefix}:{uri_and_name[1]}"
|
||||
item_parts.append((k, v))
|
||||
return item_parts, default_ns_attr_prefix, nsmap_scope
|
||||
|
||||
|
||||
def write_elem_start(
|
||||
write,
|
||||
elem,
|
||||
nsmap_scope,
|
||||
global_nsmap,
|
||||
short_empty_elements,
|
||||
is_html,
|
||||
is_root=False,
|
||||
uri_to_prefix=None,
|
||||
default_ns_attr_prefix=None,
|
||||
new_nsmap=None,
|
||||
**kwargs,
|
||||
):
|
||||
"""Write the opening tag (including self closing) and element text.
|
||||
|
||||
Refer to _serialize_ns_xml for description of arguments.
|
||||
|
||||
nsmap_scope should be an empty dictionary on first call. All nsmap prefixes
|
||||
must be strings with the default namespace prefix represented by "".
|
||||
|
||||
eg.
|
||||
- <foo attr1="one"> (returns tag = 'foo')
|
||||
- <foo attr1="one">text (returns tag = 'foo')
|
||||
- <foo attr1="one" /> (returns tag = None)
|
||||
|
||||
Returns:
|
||||
tag:
|
||||
The tag name to be closed or None if no closing required.
|
||||
nsmap_scope:
|
||||
The current nsmap after any prefix to uri additions from this
|
||||
element. This is the input dict if unmodified or an updated copy.
|
||||
default_ns_attr_prefix:
|
||||
The prefix for the default namespace to use with attrs.
|
||||
uri_to_prefix:
|
||||
The current uri to prefix map after any uri to prefix additions
|
||||
from this element. This is the input dict if unmodified or an
|
||||
updated copy.
|
||||
next_remains_root:
|
||||
A bool indicating if the child element(s) should be treated as
|
||||
their own roots.
|
||||
"""
|
||||
tag = elem.tag
|
||||
text = elem.text
|
||||
|
||||
if tag is ET.Comment:
|
||||
write("<!--%s-->" % text)
|
||||
tag = None
|
||||
next_remains_root = False
|
||||
elif tag is ET.ProcessingInstruction:
|
||||
write("<?%s?>" % text)
|
||||
tag = None
|
||||
next_remains_root = False
|
||||
else:
|
||||
if new_nsmap:
|
||||
is_nsmap_scope_changed = True
|
||||
nsmap_scope = nsmap_scope.copy()
|
||||
nsmap_scope.update(new_nsmap)
|
||||
new_namespace_prefixes = set(new_nsmap.keys())
|
||||
new_namespace_prefixes.discard("xml")
|
||||
# We need to recompute the uri to prefixes
|
||||
uri_to_prefix = None
|
||||
default_ns_attr_prefix = None
|
||||
else:
|
||||
is_nsmap_scope_changed = False
|
||||
new_namespace_prefixes = set()
|
||||
|
||||
if uri_to_prefix is None:
|
||||
if None in nsmap_scope:
|
||||
raise ValueError(
|
||||
'Found None as a namespace prefix. Use "" as the default namespace prefix.'
|
||||
)
|
||||
uri_to_prefix = {uri: prefix for prefix, uri in nsmap_scope.items()}
|
||||
if "" in nsmap_scope:
|
||||
# There may be multiple prefixes for the default namespace but
|
||||
# we want to make sure we preferentially use "" (for elements)
|
||||
uri_to_prefix[nsmap_scope[""]] = ""
|
||||
|
||||
if tag is None:
|
||||
# tag supression where tag is set to None
|
||||
# Don't change is_root so namespaces can be passed down
|
||||
next_remains_root = is_root
|
||||
if text:
|
||||
write(ET._escape_cdata(text))
|
||||
else:
|
||||
next_remains_root = False
|
||||
if isinstance(tag, ET.QName):
|
||||
tag = tag.text
|
||||
try:
|
||||
# These splits / fully qualified tag creationg are the
|
||||
# bottleneck in this implementation vs the python
|
||||
# implementation.
|
||||
# The following split takes ~42ns with no uri and ~85ns if a
|
||||
# prefix is present. If the uri was present, we then need to
|
||||
# look up a prefix (~14ns) and create the fully qualified
|
||||
# string (~41ns). This gives a total of ~140ns where a uri is
|
||||
# present.
|
||||
# Python's implementation needs to preprocess the tree to
|
||||
# create a dict of qname -> tag by traversing the tree which
|
||||
# takes a bit of extra time but it quickly makes that back by
|
||||
# only having to do a dictionary look up (~14ns) for each tag /
|
||||
# attrname vs our splitting (~140ns).
|
||||
# So here we have the flexibility of being able to redefine the
|
||||
# uri a prefix points to midway through serialisation at the
|
||||
# expense of performance (~10% slower for a 1mb file on my
|
||||
# machine).
|
||||
if tag[:1] == "{":
|
||||
uri_and_name = tag[1:].rsplit("}", 1)
|
||||
try:
|
||||
prefix = uri_to_prefix[uri_and_name[0]]
|
||||
except KeyError:
|
||||
if not is_nsmap_scope_changed:
|
||||
# We're about to mutate the these dicts so let's
|
||||
# copy them first. We don't have to recompute other
|
||||
# mappings as we're looking up or creating a new
|
||||
# prefix
|
||||
nsmap_scope = nsmap_scope.copy()
|
||||
uri_to_prefix = uri_to_prefix.copy()
|
||||
is_nsmap_scope_changed = True
|
||||
prefix = _get_or_create_prefix(
|
||||
uri_and_name[0],
|
||||
nsmap_scope,
|
||||
global_nsmap,
|
||||
new_namespace_prefixes,
|
||||
uri_to_prefix,
|
||||
)
|
||||
if prefix:
|
||||
tag = f"{prefix}:{uri_and_name[1]}"
|
||||
else:
|
||||
tag = uri_and_name[1]
|
||||
elif "" in nsmap_scope:
|
||||
raise ValueError(
|
||||
"cannot use non-qualified names with default_namespace option"
|
||||
)
|
||||
except TypeError:
|
||||
ET._raise_serialization_error(tag)
|
||||
|
||||
write("<" + tag)
|
||||
|
||||
if elem.attrib:
|
||||
item_parts, default_ns_attr_prefix, nsmap_scope = process_attribs(
|
||||
elem,
|
||||
is_nsmap_scope_changed,
|
||||
default_ns_attr_prefix,
|
||||
nsmap_scope,
|
||||
global_nsmap,
|
||||
new_namespace_prefixes,
|
||||
uri_to_prefix,
|
||||
)
|
||||
else:
|
||||
item_parts = []
|
||||
if new_namespace_prefixes:
|
||||
ns_attrs = []
|
||||
for k in sorted(new_namespace_prefixes):
|
||||
v = nsmap_scope[k]
|
||||
if k:
|
||||
k = "xmlns:" + k
|
||||
else:
|
||||
k = "xmlns"
|
||||
ns_attrs.append((k, v))
|
||||
if is_html:
|
||||
write("".join([f' {k}="{ET._escape_attrib_html(v)}"' for k, v in ns_attrs]))
|
||||
else:
|
||||
write("".join([f' {k}="{ET._escape_attrib(v)}"' for k, v in ns_attrs]))
|
||||
if item_parts:
|
||||
if is_html:
|
||||
write("".join([f' {k}="{ET._escape_attrib_html(v)}"' for k, v in item_parts]))
|
||||
else:
|
||||
write("".join([f' {k}="{ET._escape_attrib(v)}"' for k, v in item_parts]))
|
||||
if is_html:
|
||||
write(">")
|
||||
ltag = tag.lower()
|
||||
if text:
|
||||
if ltag == "script" or ltag == "style":
|
||||
write(text)
|
||||
else:
|
||||
write(ET._escape_cdata(text))
|
||||
if ltag in ET.HTML_EMPTY:
|
||||
tag = None
|
||||
elif text or len(elem) or not short_empty_elements:
|
||||
write(">")
|
||||
if text:
|
||||
write(ET._escape_cdata(text))
|
||||
else:
|
||||
tag = None
|
||||
write(" />")
|
||||
return (
|
||||
tag,
|
||||
nsmap_scope,
|
||||
default_ns_attr_prefix,
|
||||
uri_to_prefix,
|
||||
next_remains_root,
|
||||
)
|
||||
|
||||
|
||||
def _serialize_ns_xml(
|
||||
write,
|
||||
elem,
|
||||
nsmap_scope,
|
||||
global_nsmap,
|
||||
short_empty_elements,
|
||||
is_html,
|
||||
is_root=False,
|
||||
uri_to_prefix=None,
|
||||
default_ns_attr_prefix=None,
|
||||
new_nsmap=None,
|
||||
**kwargs,
|
||||
):
|
||||
"""Serialize an element or tree using 'write' for output.
|
||||
|
||||
Args:
|
||||
write:
|
||||
A function to write the xml to its destination.
|
||||
elem:
|
||||
The element to serialize.
|
||||
nsmap_scope:
|
||||
The current prefix to uri mapping for this element. This should be
|
||||
an empty dictionary for the root element. Additional namespaces are
|
||||
progressively added using the new_nsmap arg.
|
||||
global_nsmap:
|
||||
A dict copy of the globally registered _namespace_map in uri to
|
||||
prefix form
|
||||
short_empty_elements:
|
||||
Controls the formatting of elements that contain no content. If True
|
||||
(default) they are emitted as a single self-closed tag, otherwise
|
||||
they are emitted as a pair of start/end tags.
|
||||
is_html:
|
||||
Set to True to serialize as HTML otherwise XML.
|
||||
is_root:
|
||||
Boolean indicating if this is a root element.
|
||||
uri_to_prefix:
|
||||
Current state of the mapping of uri to prefix.
|
||||
default_ns_attr_prefix:
|
||||
new_nsmap:
|
||||
New prefix -> uri mapping to be applied to this element.
|
||||
"""
|
||||
(
|
||||
tag,
|
||||
nsmap_scope,
|
||||
default_ns_attr_prefix,
|
||||
uri_to_prefix,
|
||||
next_remains_root,
|
||||
) = write_elem_start(
|
||||
write,
|
||||
elem,
|
||||
nsmap_scope,
|
||||
global_nsmap,
|
||||
short_empty_elements,
|
||||
is_html,
|
||||
is_root,
|
||||
uri_to_prefix,
|
||||
default_ns_attr_prefix,
|
||||
new_nsmap=new_nsmap,
|
||||
)
|
||||
for e in elem:
|
||||
_serialize_ns_xml(
|
||||
write,
|
||||
e,
|
||||
nsmap_scope,
|
||||
global_nsmap,
|
||||
short_empty_elements,
|
||||
is_html,
|
||||
next_remains_root,
|
||||
uri_to_prefix,
|
||||
default_ns_attr_prefix,
|
||||
new_nsmap=None,
|
||||
)
|
||||
if tag:
|
||||
write(f"</{tag}>")
|
||||
if elem.tail:
|
||||
write(ET._escape_cdata(elem.tail))
|
||||
|
||||
|
||||
def _qnames_iter(elem):
|
||||
"""Iterate through all the qualified names in elem"""
|
||||
seen_el_qnames = set()
|
||||
seen_other_qnames = set()
|
||||
for this_elem in elem.iter():
|
||||
tag = this_elem.tag
|
||||
if isinstance(tag, str):
|
||||
if tag not in seen_el_qnames:
|
||||
seen_el_qnames.add(tag)
|
||||
yield tag, True
|
||||
elif isinstance(tag, ET.QName):
|
||||
tag = tag.text
|
||||
if tag not in seen_el_qnames:
|
||||
seen_el_qnames.add(tag)
|
||||
yield tag, True
|
||||
elif (
|
||||
tag is not None
|
||||
and tag is not ET.ProcessingInstruction
|
||||
and tag is not ET.Comment
|
||||
):
|
||||
ET._raise_serialization_error(tag)
|
||||
|
||||
for key, value in this_elem.items():
|
||||
if isinstance(key, ET.QName):
|
||||
key = key.text
|
||||
if key not in seen_other_qnames:
|
||||
seen_other_qnames.add(key)
|
||||
yield key, False
|
||||
|
||||
if isinstance(value, ET.QName):
|
||||
if value.text not in seen_other_qnames:
|
||||
seen_other_qnames.add(value.text)
|
||||
yield value.text, False
|
||||
|
||||
text = this_elem.text
|
||||
if isinstance(text, ET.QName):
|
||||
if text.text not in seen_other_qnames:
|
||||
seen_other_qnames.add(text.text)
|
||||
yield text.text, False
|
||||
|
||||
|
||||
def _namespaces(
|
||||
elem,
|
||||
default_namespace=None,
|
||||
nsmap=None,
|
||||
):
|
||||
"""Find all namespaces used in the document and return a prefix to uri map"""
|
||||
if nsmap is None:
|
||||
nsmap = {}
|
||||
|
||||
out_nsmap = {}
|
||||
|
||||
seen_uri_to_prefix = {}
|
||||
# Multiple prefixes may be present for a single uri. This will select the
|
||||
# last prefix found in nsmap for a given uri.
|
||||
local_prefix_map = {uri: prefix for prefix, uri in nsmap.items()}
|
||||
if default_namespace is not None:
|
||||
local_prefix_map[default_namespace] = ""
|
||||
elif "" in nsmap:
|
||||
# but we make sure the default prefix always take precedence
|
||||
local_prefix_map[nsmap[""]] = ""
|
||||
|
||||
global_prefixes = set(ET._namespace_map.values())
|
||||
has_unqual_el = False
|
||||
default_namespace_attr_prefix = None
|
||||
for qname, is_el in _qnames_iter(elem):
|
||||
try:
|
||||
if qname[:1] == "{":
|
||||
uri_and_name = qname[1:].rsplit("}", 1)
|
||||
|
||||
prefix = seen_uri_to_prefix.get(uri_and_name[0])
|
||||
if prefix is None:
|
||||
prefix = local_prefix_map.get(uri_and_name[0])
|
||||
if prefix is None or prefix in out_nsmap:
|
||||
prefix = ET._namespace_map.get(uri_and_name[0])
|
||||
if prefix is None or prefix in out_nsmap:
|
||||
prefix = _make_new_ns_prefix(
|
||||
out_nsmap,
|
||||
global_prefixes,
|
||||
nsmap,
|
||||
default_namespace,
|
||||
)
|
||||
if prefix or is_el:
|
||||
out_nsmap[prefix] = uri_and_name[0]
|
||||
seen_uri_to_prefix[uri_and_name[0]] = prefix
|
||||
|
||||
if not is_el and not prefix and not default_namespace_attr_prefix:
|
||||
# Find the alternative prefix to use with non-element
|
||||
# names
|
||||
default_namespace_attr_prefix = _find_default_namespace_attr_prefix(
|
||||
uri_and_name[0],
|
||||
out_nsmap,
|
||||
nsmap,
|
||||
global_prefixes,
|
||||
default_namespace,
|
||||
)
|
||||
out_nsmap[default_namespace_attr_prefix] = uri_and_name[0]
|
||||
# Don't add this uri to prefix mapping as it might override
|
||||
# the uri -> "" default mapping. We'll fix this up at the
|
||||
# end of the fn.
|
||||
# local_prefix_map[uri_and_name[0]] = default_namespace_attr_prefix
|
||||
else:
|
||||
if is_el:
|
||||
has_unqual_el = True
|
||||
except TypeError:
|
||||
ET._raise_serialization_error(qname)
|
||||
|
||||
if "" in out_nsmap and has_unqual_el:
|
||||
# FIXME: can this be handled in XML 1.0?
|
||||
raise ValueError(
|
||||
"cannot use non-qualified names with default_namespace option"
|
||||
)
|
||||
|
||||
# The xml prefix doesn't need to be declared but may have been used to
|
||||
# prefix names. Let's remove it if it has been used
|
||||
out_nsmap.pop("xml", None)
|
||||
return out_nsmap
|
||||
|
||||
|
||||
def tostring(
|
||||
element,
|
||||
encoding=None,
|
||||
method=None,
|
||||
*,
|
||||
xml_declaration=None,
|
||||
default_namespace=None,
|
||||
short_empty_elements=True,
|
||||
nsmap=None,
|
||||
root_ns_only=False,
|
||||
minimal_ns_only=False,
|
||||
tree_cls=IncrementalTree,
|
||||
):
|
||||
"""Generate string representation of XML element.
|
||||
|
||||
All subelements are included. If encoding is "unicode", a string
|
||||
is returned. Otherwise a bytestring is returned.
|
||||
|
||||
*element* is an Element instance, *encoding* is an optional output
|
||||
encoding defaulting to US-ASCII, *method* is an optional output which can
|
||||
be one of "xml" (default), "html", "text" or "c14n", *default_namespace*
|
||||
sets the default XML namespace (for "xmlns").
|
||||
|
||||
Returns an (optionally) encoded string containing the XML data.
|
||||
|
||||
"""
|
||||
stream = io.StringIO() if encoding == "unicode" else io.BytesIO()
|
||||
tree_cls(element).write(
|
||||
stream,
|
||||
encoding,
|
||||
xml_declaration=xml_declaration,
|
||||
default_namespace=default_namespace,
|
||||
method=method,
|
||||
short_empty_elements=short_empty_elements,
|
||||
nsmap=nsmap,
|
||||
root_ns_only=root_ns_only,
|
||||
minimal_ns_only=minimal_ns_only,
|
||||
)
|
||||
return stream.getvalue()
|
||||
|
||||
|
||||
def tostringlist(
|
||||
element,
|
||||
encoding=None,
|
||||
method=None,
|
||||
*,
|
||||
xml_declaration=None,
|
||||
default_namespace=None,
|
||||
short_empty_elements=True,
|
||||
nsmap=None,
|
||||
root_ns_only=False,
|
||||
minimal_ns_only=False,
|
||||
tree_cls=IncrementalTree,
|
||||
):
|
||||
lst = []
|
||||
stream = ET._ListDataStream(lst)
|
||||
tree_cls(element).write(
|
||||
stream,
|
||||
encoding,
|
||||
xml_declaration=xml_declaration,
|
||||
default_namespace=default_namespace,
|
||||
method=method,
|
||||
short_empty_elements=short_empty_elements,
|
||||
nsmap=nsmap,
|
||||
root_ns_only=root_ns_only,
|
||||
minimal_ns_only=minimal_ns_only,
|
||||
)
|
||||
return lst
|
||||
|
||||
|
||||
def compat_tostring(
|
||||
element,
|
||||
encoding=None,
|
||||
method=None,
|
||||
*,
|
||||
xml_declaration=None,
|
||||
default_namespace=None,
|
||||
short_empty_elements=True,
|
||||
nsmap=None,
|
||||
root_ns_only=True,
|
||||
minimal_ns_only=False,
|
||||
tree_cls=IncrementalTree,
|
||||
):
|
||||
"""tostring with options that produce the same results as xml.etree.ElementTree.tostring
|
||||
|
||||
root_ns_only=True is a bit slower than False as it needs to traverse the
|
||||
tree one more time to collect all the namespaces.
|
||||
"""
|
||||
return tostring(
|
||||
element,
|
||||
encoding=encoding,
|
||||
method=method,
|
||||
xml_declaration=xml_declaration,
|
||||
default_namespace=default_namespace,
|
||||
short_empty_elements=short_empty_elements,
|
||||
nsmap=nsmap,
|
||||
root_ns_only=root_ns_only,
|
||||
minimal_ns_only=minimal_ns_only,
|
||||
tree_cls=tree_cls,
|
||||
)
|
||||
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
# serialization support
|
||||
|
||||
@contextlib.contextmanager
|
||||
def _get_writer(file_or_filename, encoding):
|
||||
# Copied from Python 3.12
|
||||
# returns text write method and release all resources after using
|
||||
try:
|
||||
write = file_or_filename.write
|
||||
except AttributeError:
|
||||
# file_or_filename is a file name
|
||||
if encoding.lower() == "unicode":
|
||||
encoding = "utf-8"
|
||||
with open(file_or_filename, "w", encoding=encoding,
|
||||
errors="xmlcharrefreplace") as file:
|
||||
yield file.write, encoding
|
||||
else:
|
||||
# file_or_filename is a file-like object
|
||||
# encoding determines if it is a text or binary writer
|
||||
if encoding.lower() == "unicode":
|
||||
# use a text writer as is
|
||||
yield write, getattr(file_or_filename, "encoding", None) or "utf-8"
|
||||
else:
|
||||
# wrap a binary writer with TextIOWrapper
|
||||
with contextlib.ExitStack() as stack:
|
||||
if isinstance(file_or_filename, io.BufferedIOBase):
|
||||
file = file_or_filename
|
||||
elif isinstance(file_or_filename, io.RawIOBase):
|
||||
file = io.BufferedWriter(file_or_filename)
|
||||
# Keep the original file open when the BufferedWriter is
|
||||
# destroyed
|
||||
stack.callback(file.detach)
|
||||
else:
|
||||
# This is to handle passed objects that aren't in the
|
||||
# IOBase hierarchy, but just have a write method
|
||||
file = io.BufferedIOBase()
|
||||
file.writable = lambda: True
|
||||
file.write = write
|
||||
try:
|
||||
# TextIOWrapper uses this methods to determine
|
||||
# if BOM (for UTF-16, etc) should be added
|
||||
file.seekable = file_or_filename.seekable
|
||||
file.tell = file_or_filename.tell
|
||||
except AttributeError:
|
||||
pass
|
||||
file = io.TextIOWrapper(file,
|
||||
encoding=encoding,
|
||||
errors="xmlcharrefreplace",
|
||||
newline="\n")
|
||||
# Keep the original file open when the TextIOWrapper is
|
||||
# destroyed
|
||||
stack.callback(file.detach)
|
||||
yield file.write, encoding
|
||||
158
venv/lib/python3.12/site-packages/et_xmlfile/xmlfile.py
Normal file
158
venv/lib/python3.12/site-packages/et_xmlfile/xmlfile.py
Normal file
@@ -0,0 +1,158 @@
|
||||
from __future__ import absolute_import
|
||||
# Copyright (c) 2010-2015 openpyxl
|
||||
|
||||
"""Implements the lxml.etree.xmlfile API using the standard library xml.etree"""
|
||||
|
||||
|
||||
from contextlib import contextmanager
|
||||
|
||||
from xml.etree.ElementTree import (
|
||||
Element,
|
||||
_escape_cdata,
|
||||
)
|
||||
|
||||
from . import incremental_tree
|
||||
|
||||
|
||||
class LxmlSyntaxError(Exception):
|
||||
pass
|
||||
|
||||
|
||||
class _IncrementalFileWriter(object):
|
||||
"""Replacement for _IncrementalFileWriter of lxml"""
|
||||
def __init__(self, output_file):
|
||||
self._element_stack = []
|
||||
self._file = output_file
|
||||
self._have_root = False
|
||||
self.global_nsmap = incremental_tree.current_global_nsmap()
|
||||
self.is_html = False
|
||||
|
||||
@contextmanager
|
||||
def element(self, tag, attrib=None, nsmap=None, **_extra):
|
||||
"""Create a new xml element using a context manager."""
|
||||
if nsmap and None in nsmap:
|
||||
# Normalise None prefix (lxml's default namespace prefix) -> "", as
|
||||
# required for incremental_tree
|
||||
if "" in nsmap and nsmap[""] != nsmap[None]:
|
||||
raise ValueError(
|
||||
'Found None and "" as default nsmap prefixes with different URIs'
|
||||
)
|
||||
nsmap = nsmap.copy()
|
||||
nsmap[""] = nsmap.pop(None)
|
||||
|
||||
# __enter__ part
|
||||
self._have_root = True
|
||||
if attrib is None:
|
||||
attrib = {}
|
||||
elem = Element(tag, attrib=attrib, **_extra)
|
||||
elem.text = ''
|
||||
elem.tail = ''
|
||||
if self._element_stack:
|
||||
is_root = False
|
||||
(
|
||||
nsmap_scope,
|
||||
default_ns_attr_prefix,
|
||||
uri_to_prefix,
|
||||
) = self._element_stack[-1]
|
||||
else:
|
||||
is_root = True
|
||||
nsmap_scope = {}
|
||||
default_ns_attr_prefix = None
|
||||
uri_to_prefix = {}
|
||||
(
|
||||
tag,
|
||||
nsmap_scope,
|
||||
default_ns_attr_prefix,
|
||||
uri_to_prefix,
|
||||
next_remains_root,
|
||||
) = incremental_tree.write_elem_start(
|
||||
self._file,
|
||||
elem,
|
||||
nsmap_scope=nsmap_scope,
|
||||
global_nsmap=self.global_nsmap,
|
||||
short_empty_elements=False,
|
||||
is_html=self.is_html,
|
||||
is_root=is_root,
|
||||
uri_to_prefix=uri_to_prefix,
|
||||
default_ns_attr_prefix=default_ns_attr_prefix,
|
||||
new_nsmap=nsmap,
|
||||
)
|
||||
self._element_stack.append(
|
||||
(
|
||||
nsmap_scope,
|
||||
default_ns_attr_prefix,
|
||||
uri_to_prefix,
|
||||
)
|
||||
)
|
||||
yield
|
||||
|
||||
# __exit__ part
|
||||
self._element_stack.pop()
|
||||
self._file(f"</{tag}>")
|
||||
if elem.tail:
|
||||
self._file(_escape_cdata(elem.tail))
|
||||
|
||||
def write(self, arg):
|
||||
"""Write a string or subelement."""
|
||||
|
||||
if isinstance(arg, str):
|
||||
# it is not allowed to write a string outside of an element
|
||||
if not self._element_stack:
|
||||
raise LxmlSyntaxError()
|
||||
self._file(_escape_cdata(arg))
|
||||
|
||||
else:
|
||||
if not self._element_stack and self._have_root:
|
||||
raise LxmlSyntaxError()
|
||||
|
||||
if self._element_stack:
|
||||
is_root = False
|
||||
(
|
||||
nsmap_scope,
|
||||
default_ns_attr_prefix,
|
||||
uri_to_prefix,
|
||||
) = self._element_stack[-1]
|
||||
else:
|
||||
is_root = True
|
||||
nsmap_scope = {}
|
||||
default_ns_attr_prefix = None
|
||||
uri_to_prefix = {}
|
||||
incremental_tree._serialize_ns_xml(
|
||||
self._file,
|
||||
arg,
|
||||
nsmap_scope=nsmap_scope,
|
||||
global_nsmap=self.global_nsmap,
|
||||
short_empty_elements=True,
|
||||
is_html=self.is_html,
|
||||
is_root=is_root,
|
||||
uri_to_prefix=uri_to_prefix,
|
||||
default_ns_attr_prefix=default_ns_attr_prefix,
|
||||
)
|
||||
|
||||
def __enter__(self):
|
||||
pass
|
||||
|
||||
def __exit__(self, type, value, traceback):
|
||||
# without root the xml document is incomplete
|
||||
if not self._have_root:
|
||||
raise LxmlSyntaxError()
|
||||
|
||||
|
||||
class xmlfile(object):
|
||||
"""Context manager that can replace lxml.etree.xmlfile."""
|
||||
def __init__(self, output_file, buffered=False, encoding="utf-8", close=False):
|
||||
self._file = output_file
|
||||
self._close = close
|
||||
self.encoding = encoding
|
||||
self.writer_cm = None
|
||||
|
||||
def __enter__(self):
|
||||
self.writer_cm = incremental_tree._get_writer(self._file, encoding=self.encoding)
|
||||
writer, declared_encoding = self.writer_cm.__enter__()
|
||||
return _IncrementalFileWriter(writer)
|
||||
|
||||
def __exit__(self, type, value, traceback):
|
||||
if self.writer_cm:
|
||||
self.writer_cm.__exit__(type, value, traceback)
|
||||
if self._close:
|
||||
self._file.close()
|
||||
@@ -0,0 +1 @@
|
||||
pip
|
||||
@@ -0,0 +1,23 @@
|
||||
This software is under the MIT Licence
|
||||
======================================
|
||||
|
||||
Copyright (c) 2010 openpyxl
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a
|
||||
copy of this software and associated documentation files (the
|
||||
"Software"), to deal in the Software without restriction, including
|
||||
without limitation the rights to use, copy, modify, merge, publish,
|
||||
distribute, sublicense, and/or sell copies of the Software, and to
|
||||
permit persons to whom the Software is furnished to do so, subject to
|
||||
the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included
|
||||
in all copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
|
||||
OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
|
||||
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
|
||||
IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
|
||||
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
|
||||
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
|
||||
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
@@ -0,0 +1,86 @@
|
||||
Metadata-Version: 2.1
|
||||
Name: openpyxl
|
||||
Version: 3.1.5
|
||||
Summary: A Python library to read/write Excel 2010 xlsx/xlsm files
|
||||
Home-page: https://openpyxl.readthedocs.io
|
||||
Author: See AUTHORS
|
||||
Author-email: charlie.clark@clark-consulting.eu
|
||||
License: MIT
|
||||
Project-URL: Documentation, https://openpyxl.readthedocs.io/en/stable/
|
||||
Project-URL: Source, https://foss.heptapod.net/openpyxl/openpyxl
|
||||
Project-URL: Tracker, https://foss.heptapod.net/openpyxl/openpyxl/-/issues
|
||||
Classifier: Development Status :: 5 - Production/Stable
|
||||
Classifier: Operating System :: MacOS :: MacOS X
|
||||
Classifier: Operating System :: Microsoft :: Windows
|
||||
Classifier: Operating System :: POSIX
|
||||
Classifier: License :: OSI Approved :: MIT License
|
||||
Classifier: Programming Language :: Python
|
||||
Classifier: Programming Language :: Python :: 3.6
|
||||
Classifier: Programming Language :: Python :: 3.7
|
||||
Classifier: Programming Language :: Python :: 3.8
|
||||
Classifier: Programming Language :: Python :: 3.9
|
||||
Classifier: Programming Language :: Python :: 3.10
|
||||
Classifier: Programming Language :: Python :: 3.11
|
||||
Requires-Python: >=3.8
|
||||
License-File: LICENCE.rst
|
||||
Requires-Dist: et-xmlfile
|
||||
|
||||
.. image:: https://coveralls.io/repos/bitbucket/openpyxl/openpyxl/badge.svg?branch=default
|
||||
:target: https://coveralls.io/bitbucket/openpyxl/openpyxl?branch=default
|
||||
:alt: coverage status
|
||||
|
||||
Introduction
|
||||
------------
|
||||
|
||||
openpyxl is a Python library to read/write Excel 2010 xlsx/xlsm/xltx/xltm files.
|
||||
|
||||
It was born from lack of existing library to read/write natively from Python
|
||||
the Office Open XML format.
|
||||
|
||||
All kudos to the PHPExcel team as openpyxl was initially based on PHPExcel.
|
||||
|
||||
|
||||
Security
|
||||
--------
|
||||
|
||||
By default openpyxl does not guard against quadratic blowup or billion laughs
|
||||
xml attacks. To guard against these attacks install defusedxml.
|
||||
|
||||
Mailing List
|
||||
------------
|
||||
|
||||
The user list can be found on http://groups.google.com/group/openpyxl-users
|
||||
|
||||
|
||||
Sample code::
|
||||
|
||||
from openpyxl import Workbook
|
||||
wb = Workbook()
|
||||
|
||||
# grab the active worksheet
|
||||
ws = wb.active
|
||||
|
||||
# Data can be assigned directly to cells
|
||||
ws['A1'] = 42
|
||||
|
||||
# Rows can also be appended
|
||||
ws.append([1, 2, 3])
|
||||
|
||||
# Python types will automatically be converted
|
||||
import datetime
|
||||
ws['A2'] = datetime.datetime.now()
|
||||
|
||||
# Save the file
|
||||
wb.save("sample.xlsx")
|
||||
|
||||
|
||||
Documentation
|
||||
-------------
|
||||
|
||||
The documentation is at: https://openpyxl.readthedocs.io
|
||||
|
||||
* installation methods
|
||||
* code examples
|
||||
* instructions for contributing
|
||||
|
||||
Release notes: https://openpyxl.readthedocs.io/en/stable/changes.html
|
||||
@@ -0,0 +1,387 @@
|
||||
openpyxl-3.1.5.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
|
||||
openpyxl-3.1.5.dist-info/LICENCE.rst,sha256=DIS7QvXTZ-Xr-fwt3jWxYUHfXuD9wYklCFi8bFVg9p4,1131
|
||||
openpyxl-3.1.5.dist-info/METADATA,sha256=I_gMqYMN2JQ12hcQ8m3tqPgeVAkofnRUAhDHJiekrZY,2510
|
||||
openpyxl-3.1.5.dist-info/RECORD,,
|
||||
openpyxl-3.1.5.dist-info/REQUESTED,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
|
||||
openpyxl-3.1.5.dist-info/WHEEL,sha256=DZajD4pwLWue70CAfc7YaxT1wLUciNBvN_TTcvXpltE,110
|
||||
openpyxl-3.1.5.dist-info/top_level.txt,sha256=mKJO5QFAsUEDtJ_c97F-IbmVtHYEDymqD7d5X0ULkVs,9
|
||||
openpyxl/__init__.py,sha256=s2sXcp8ThXXHswNSh-UuQi5BHsoasuczUyjNNz0Vupc,603
|
||||
openpyxl/__pycache__/__init__.cpython-312.pyc,,
|
||||
openpyxl/__pycache__/_constants.cpython-312.pyc,,
|
||||
openpyxl/_constants.py,sha256=rhOeQ6wNH6jw73G4I242VtbmyM8fvdNVwOsOjJlJ6TU,306
|
||||
openpyxl/cell/__init__.py,sha256=OXNzFFR9dlxUXiuWXyKSVQRJiQhZFel-_RQS3mHNnrQ,122
|
||||
openpyxl/cell/__pycache__/__init__.cpython-312.pyc,,
|
||||
openpyxl/cell/__pycache__/_writer.cpython-312.pyc,,
|
||||
openpyxl/cell/__pycache__/cell.cpython-312.pyc,,
|
||||
openpyxl/cell/__pycache__/read_only.cpython-312.pyc,,
|
||||
openpyxl/cell/__pycache__/rich_text.cpython-312.pyc,,
|
||||
openpyxl/cell/__pycache__/text.cpython-312.pyc,,
|
||||
openpyxl/cell/_writer.py,sha256=3I6WLKEJGuFe8rOjxdAVuDT4sZYjcYo57-6velGepdQ,4015
|
||||
openpyxl/cell/cell.py,sha256=hVJsMC9kJAxxb_CspJlBrwDt2qzfccO6YDfPHK3BBCQ,8922
|
||||
openpyxl/cell/read_only.py,sha256=ApXkofmUK5QISsuTgZvmZKsU8PufSQtqe2xmYWTgLnc,3097
|
||||
openpyxl/cell/rich_text.py,sha256=uAZmGB7bYDUnanHI0vJmKbfSF8riuIYS5CwlVU_3_fM,5628
|
||||
openpyxl/cell/text.py,sha256=acU6BZQNSmVx4bBXPgFavoxmfoPbVYrm_ztp1bGeOmc,4367
|
||||
openpyxl/chart/_3d.py,sha256=Sdm0TNpXHXNoOLUwiOSccv7yFwrel_-rjQhkrDqAAF4,3104
|
||||
openpyxl/chart/__init__.py,sha256=ag4YCN1B3JH0lkS7tiiZCohVAA51x_pejGdAMuxaI1Y,564
|
||||
openpyxl/chart/__pycache__/_3d.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/__init__.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/_chart.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/area_chart.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/axis.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/bar_chart.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/bubble_chart.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/chartspace.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/data_source.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/descriptors.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/error_bar.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/label.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/layout.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/legend.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/line_chart.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/marker.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/picture.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/pie_chart.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/pivot.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/plotarea.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/print_settings.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/radar_chart.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/reader.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/reference.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/scatter_chart.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/series.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/series_factory.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/shapes.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/stock_chart.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/surface_chart.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/text.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/title.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/trendline.cpython-312.pyc,,
|
||||
openpyxl/chart/__pycache__/updown_bars.cpython-312.pyc,,
|
||||
openpyxl/chart/_chart.py,sha256=j5xn6mQYmZ4E7y2V1Xvx1jwhX2_O68Mp-8zeXRteS7E,5746
|
||||
openpyxl/chart/area_chart.py,sha256=uROD3fdus6yD1TGu87j4z7KtOEH7tI-3Z5NFK73wwgw,2890
|
||||
openpyxl/chart/axis.py,sha256=yommy5q2mQWKmmLRouWBpimiBZDBM1K-UKAIwCwKDNc,12580
|
||||
openpyxl/chart/bar_chart.py,sha256=_TQHleMT3gSa6B1BkKD_FkLFcv8LRaoiHbpy2yflLO4,4142
|
||||
openpyxl/chart/bubble_chart.py,sha256=KL7VZYFyLDpA8MC-IFtRAUIN262xK6MzjU41DrSVgpY,2004
|
||||
openpyxl/chart/chartspace.py,sha256=PuPGBsVbpK5JagbB7SWgp4JwdQtTrZzIm8mf3kfGAuY,6069
|
||||
openpyxl/chart/data_source.py,sha256=GAuWoCOJ4k7RZNJZkZck0zt_-D5UfDEwqwQ3ND4-s34,5782
|
||||
openpyxl/chart/descriptors.py,sha256=uj-qptwKOBeg7U5xBN4QJQ2OwQvFQ7o4n5eMXXIWS7M,736
|
||||
openpyxl/chart/error_bar.py,sha256=GS_L7PiyKNnJVHvQqG2hLxEW237igLLCatCNC-xGMxk,1832
|
||||
openpyxl/chart/label.py,sha256=IjvI-CZjTY8ydoUzUOihcbxoRWiSpFb_ipD6C2I8Pu4,4133
|
||||
openpyxl/chart/layout.py,sha256=QHakp_CIcoNuvjyZMsQ2p_qP44DIQs4aquy7yln94JM,2040
|
||||
openpyxl/chart/legend.py,sha256=iPMycOhYDAVYd05OU_QDB-GSavdw_1L9CMuJIETOoGI,2040
|
||||
openpyxl/chart/line_chart.py,sha256=6tAyDCzFiuiBFuUDTWhQepH8xVCx2s57lH951cEcwn0,3951
|
||||
openpyxl/chart/marker.py,sha256=kfybMkshK3qefOUW7OX-Os0vfl5OCXfg8MytwHC2i-w,2600
|
||||
openpyxl/chart/picture.py,sha256=Q4eBNQMKQDHR91RnPc7tM-YZVdcnWncedUlfagj67gk,1156
|
||||
openpyxl/chart/pie_chart.py,sha256=UOvkjrBpNd_rT-rvKcpPeVd9dK-ELdMIaHjAUEr6oN8,4793
|
||||
openpyxl/chart/pivot.py,sha256=9kVDmnxnR0uQRQ-Wbl6qw8eew9LGhqomaDBaXqQGZY4,1741
|
||||
openpyxl/chart/plotarea.py,sha256=em7yorXFz9SmJruqOR4Pn-2oEj0Su4rnzyNc5e0IZ_U,5805
|
||||
openpyxl/chart/print_settings.py,sha256=UwB6Kn6xkLRBejXScl-utF8dkNhV7Lm3Lfk7ACpbRgs,1454
|
||||
openpyxl/chart/radar_chart.py,sha256=93I1Y1dmXZ6Y0F1VKXz9I3x1ufgwygBOdbPZumR5n3s,1521
|
||||
openpyxl/chart/reader.py,sha256=oQD-29oxSLW2yzXdyXNhzQYNXgM64Y3kVSOIkrPZCuU,802
|
||||
openpyxl/chart/reference.py,sha256=N3T4qYMH9BVrtbDRiKIZz-qGvPAdfquWTGL0XKxD9G8,3098
|
||||
openpyxl/chart/scatter_chart.py,sha256=JMU32jjxTj7txPJ2TebBHPS5UcMsRHVqLz_psnN2YZs,1563
|
||||
openpyxl/chart/series.py,sha256=k8eR8cviH9EPllRjjr_2a-lH5S3_HWBTLyE7XKghzWc,5896
|
||||
openpyxl/chart/series_factory.py,sha256=ey1zgNwM1g4bQwB9lLhM6E-ctLIM2kLWM3X7CPw8SDs,1368
|
||||
openpyxl/chart/shapes.py,sha256=JkgMy3DUWDKLV6JZHKb_pUBvWpzTAQ3biUMr-1fJWZU,2815
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openpyxl/utils/__pycache__/indexed_list.cpython-312.pyc,,
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openpyxl/utils/__pycache__/inference.cpython-312.pyc,,
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openpyxl/utils/formulas.py,sha256=-I0zyvicBZMaAH1XzsmmEEzE4GB-NA605aArWVt9ik4,4248
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||||
openpyxl/utils/indexed_list.py,sha256=hBsQP9gunTit7iKdMGw_tM3y5uIpXDjUx7jswbQF6Dc,1257
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openpyxl/utils/inference.py,sha256=dM1FBW_Rx_xE7P8vGo6WNhbBe-2eqpGuJj4eqdS7UjE,1583
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||||
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||||
openpyxl/workbook/__pycache__/__init__.cpython-312.pyc,,
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||||
openpyxl/workbook/__pycache__/_writer.cpython-312.pyc,,
|
||||
openpyxl/workbook/__pycache__/child.cpython-312.pyc,,
|
||||
openpyxl/workbook/__pycache__/defined_name.cpython-312.pyc,,
|
||||
openpyxl/workbook/__pycache__/external_reference.cpython-312.pyc,,
|
||||
openpyxl/workbook/__pycache__/function_group.cpython-312.pyc,,
|
||||
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|
||||
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||||
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||||
openpyxl/workbook/__pycache__/views.cpython-312.pyc,,
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||||
openpyxl/workbook/__pycache__/web.cpython-312.pyc,,
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||||
openpyxl/workbook/__pycache__/workbook.cpython-312.pyc,,
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||||
openpyxl/workbook/_writer.py,sha256=pB4s05erNEBJFT_w5LT-2DlxqXkZLOutXWVgewRLVds,6506
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||||
openpyxl/workbook/child.py,sha256=r_5V9DNkGSYZhzi62P10ZnsO5iT518YopcTdmSvtAUc,4052
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openpyxl/workbook/defined_name.py,sha256=EAF1WvGYU4WG7dusDi29yBAr15BhkYtkF_GrFym1DDY,5394
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||||
openpyxl/workbook/external_link/__init__.py,sha256=YOkLI226nyopB6moShzGIfBRckdQgPiFXjVZwXW-DpE,71
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openpyxl/workbook/external_link/__pycache__/__init__.cpython-312.pyc,,
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openpyxl/workbook/external_link/__pycache__/external.cpython-312.pyc,,
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||||
openpyxl/workbook/external_link/external.py,sha256=LXXuej0-d0iRnwlJ-13S81kbuDxvhAWo3qfnxpsClvM,4509
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openpyxl/workbook/external_reference.py,sha256=9bKX9_QgNJxv7fEUd0G-ocXyZajMAsDzG11d0miguxY,348
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openpyxl/workbook/function_group.py,sha256=x5QfUpFdsjtbFbAJzZof7SrZ376nufNY92mpCcaSPiQ,803
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openpyxl/workbook/properties.py,sha256=vMUriu67iQU11xIos37ayv73gjq1kdHgI27ncJ3Vk24,5261
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openpyxl/workbook/protection.py,sha256=LhiyuoOchdrun9xMwq_pxGzbkysziThfKivk0dHHOLw,6008
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openpyxl/workbook/smart_tags.py,sha256=xHHXCrUPnHeRoM_eakrCOz-eCpct3Y7xKHShr9wGv7s,1181
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openpyxl/workbook/views.py,sha256=uwQqZCrRavAoBDLZIBtgz7riOEhEaHplybV4cX_TMgY,5214
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openpyxl/workbook/web.py,sha256=87B5mEZ6vfHTwywcGtcYL6u7D3RyJVDCJxV0nHZeS-w,2642
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openpyxl/workbook/workbook.py,sha256=oaErvSH1qUphUAPOZTCHj2UHyKeDqsj2DycKCDcgo7M,13232
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||||
openpyxl/worksheet/__init__.py,sha256=c12-9kMPWlUdjwSoZPsFpmeW8KVXH0HCGpO3dlCTVqI,35
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||||
openpyxl/worksheet/__pycache__/__init__.cpython-312.pyc,,
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||||
openpyxl/worksheet/__pycache__/_read_only.cpython-312.pyc,,
|
||||
openpyxl/worksheet/__pycache__/_reader.cpython-312.pyc,,
|
||||
openpyxl/worksheet/__pycache__/_write_only.cpython-312.pyc,,
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||||
openpyxl/worksheet/__pycache__/_writer.cpython-312.pyc,,
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||||
openpyxl/worksheet/__pycache__/cell_range.cpython-312.pyc,,
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||||
openpyxl/worksheet/__pycache__/cell_watch.cpython-312.pyc,,
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||||
openpyxl/worksheet/__pycache__/controls.cpython-312.pyc,,
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||||
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||||
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||||
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openpyxl/worksheet/__pycache__/print_settings.cpython-312.pyc,,
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||||
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openpyxl/worksheet/_read_only.py,sha256=6Kd4Q-73UoJDY66skRJy_ks-wCHNttlGhsDxvB99PuY,5709
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openpyxl/worksheet/_reader.py,sha256=vp_D7w4DiADMdyNrYpQglrCVvVLT9_DsSZikOd--n2c,16375
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openpyxl/worksheet/_write_only.py,sha256=yqW-DtBDDYTwGCBHRVIwkheSB7SSLO3xlw-RsXtPorE,4232
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openpyxl/worksheet/_writer.py,sha256=bDtw6BV5tdztARQEkQPprExRr8hZVFkj0DyolqxVu2k,10283
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openpyxl/worksheet/cell_range.py,sha256=YP8AUnqUFP5wOV_avMDFRSZ0Qi2p78RWFuwyyCua7m8,15013
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openpyxl/worksheet/cell_watch.py,sha256=LdxGcTmXbZ4sxm6inasFgZPld1ijdL5_ODSUvvz13DU,608
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openpyxl/worksheet/controls.py,sha256=FPLg4N94T-IL27NLg8Le_U4WYDT_6Aa25LDG_kiEDVA,2735
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openpyxl/worksheet/copier.py,sha256=0Di1qSks0g7Jtgmpc_M20O-KPCW81Yr2myC5j458nyU,2319
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openpyxl/worksheet/custom.py,sha256=CRlQ98GwqqKmEDkv8gPUCa0ApNM2Vz-BLs_-RMu3jLA,639
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openpyxl/worksheet/datavalidation.py,sha256=m-O7NOoTDr_bAfxB9xEeY5QttFiuPtzs-IFAlF0j4FE,6131
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openpyxl/worksheet/dimensions.py,sha256=HzM77FrYixiQDCugRT-C9ZpKq7GNFaGchxT73U4cisY,9102
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||||
openpyxl/worksheet/drawing.py,sha256=2nfrLyTX0kAizPIINF12KwDW9mRnaq8hs-NrSBcWpmE,275
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openpyxl/worksheet/errors.py,sha256=KkFC4bnckvCp74XsVXA7JUCi4MIimEFu3uAddcQpjo0,2435
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||||
openpyxl/worksheet/filters.py,sha256=8eUj2LuP8Qbz1R1gkK1c6W_UKS8-__6XlFMVkunIua0,13854
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||||
openpyxl/worksheet/formula.py,sha256=5yuul6s1l-K_78KXHC6HrF_pLhxypoldh5jMg7zmlyY,1045
|
||||
openpyxl/worksheet/header_footer.py,sha256=91F6NUDUEwrhgeWrxG9XtDPyPD03XAtGU_ONBpkAfUc,7886
|
||||
openpyxl/worksheet/hyperlink.py,sha256=sXzPkkjl9BWNzCxwwEEaSS53J37jIXPmnnED-j8MIBo,1103
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||||
openpyxl/worksheet/merge.py,sha256=gNOIH6EJ8wVcJpibAv4CMc7UpD7_DrGvgaCSvG2im5A,4125
|
||||
openpyxl/worksheet/ole.py,sha256=khVvqMt4GPc9Yr6whLDfkUo51euyLXfJe1p4zFee4no,3530
|
||||
openpyxl/worksheet/page.py,sha256=4jeSRcDE0S2RPzIAmA3Bh-uXRyq0hnbO5h5pJdGHbbQ,4901
|
||||
openpyxl/worksheet/pagebreak.py,sha256=XXFIMOY4VdPQCd86nGPghA6hOfLGK5G_KFuvjBNPRsw,1811
|
||||
openpyxl/worksheet/picture.py,sha256=72TctCxzk2JU8uFfjiEbTBufEe5eQxIieSPBRhU6m1Q,185
|
||||
openpyxl/worksheet/print_settings.py,sha256=k_g4fkrs9bfz-S-RIKIBGqzVgubufMdryWQ3ejXQoRI,5215
|
||||
openpyxl/worksheet/properties.py,sha256=9iXTOVC8B9C-2pp_iU5l0r5Fjf3Uzv0SIOUKRrZ2hw4,3087
|
||||
openpyxl/worksheet/protection.py,sha256=vj5M6WWC5xKiHeWS_tJqXxrlOJHJ7GpW2JdPw7r9jjE,3758
|
||||
openpyxl/worksheet/related.py,sha256=ZLDpgcrW6DWl8vvh2sSVB_r1JyG8bC8EicCBKjfssTs,335
|
||||
openpyxl/worksheet/scenario.py,sha256=VlJW4pi1OTy1cJ9m7ZxazIy8PSlo17BGpnUYixmNotQ,2401
|
||||
openpyxl/worksheet/smart_tag.py,sha256=nLbt04IqeJllk7TmNS1eTNdb7On5jMf3llfyy3otDSk,1608
|
||||
openpyxl/worksheet/table.py,sha256=gjt-jNP8dhVy8w5g-gMJpfHO-eV1EoxJy91yi-5HG64,11671
|
||||
openpyxl/worksheet/views.py,sha256=DkZcptwpbpklHILSlvK-a2LmJ7BWb1wbDcz2JVl7404,4974
|
||||
openpyxl/worksheet/worksheet.py,sha256=4JM5qjoJumtcqftHFkimtFEQrz7E2DBmXnkVo7R3WX8,27572
|
||||
openpyxl/writer/__init__.py,sha256=c12-9kMPWlUdjwSoZPsFpmeW8KVXH0HCGpO3dlCTVqI,35
|
||||
openpyxl/writer/__pycache__/__init__.cpython-312.pyc,,
|
||||
openpyxl/writer/__pycache__/excel.cpython-312.pyc,,
|
||||
openpyxl/writer/__pycache__/theme.cpython-312.pyc,,
|
||||
openpyxl/writer/excel.py,sha256=6ioXn3hSHHIUnkW2wCyBgPA4CncO6FXL5yGSAzsqp6Y,9572
|
||||
openpyxl/writer/theme.py,sha256=5Hhq-0uP55sf_Zhw7i3M9azCfCjALQxoo7CV_9QPmTA,10320
|
||||
openpyxl/xml/__init__.py,sha256=A5Kj0GWk5XI-zJxbAL5vIppV_AgEHLRveGu8RK5c7U0,1016
|
||||
openpyxl/xml/__pycache__/__init__.cpython-312.pyc,,
|
||||
openpyxl/xml/__pycache__/constants.cpython-312.pyc,,
|
||||
openpyxl/xml/__pycache__/functions.cpython-312.pyc,,
|
||||
openpyxl/xml/constants.py,sha256=HDNnhcj-WO9ayO4Mqwca3Au0ZTNfsDqWDtleREs_Wto,4833
|
||||
openpyxl/xml/functions.py,sha256=jBtfa8__w4gBlEPGHLGCAtJiaNKPyihTLsfmigyq2_Q,2025
|
||||
@@ -0,0 +1,6 @@
|
||||
Wheel-Version: 1.0
|
||||
Generator: bdist_wheel (0.43.0)
|
||||
Root-Is-Purelib: true
|
||||
Tag: py2-none-any
|
||||
Tag: py3-none-any
|
||||
|
||||
@@ -0,0 +1 @@
|
||||
openpyxl
|
||||
19
venv/lib/python3.12/site-packages/openpyxl/__init__.py
Normal file
19
venv/lib/python3.12/site-packages/openpyxl/__init__.py
Normal file
@@ -0,0 +1,19 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
DEBUG = False
|
||||
|
||||
from openpyxl.compat.numbers import NUMPY
|
||||
from openpyxl.xml import DEFUSEDXML, LXML
|
||||
from openpyxl.workbook import Workbook
|
||||
from openpyxl.reader.excel import load_workbook as open
|
||||
from openpyxl.reader.excel import load_workbook
|
||||
import openpyxl._constants as constants
|
||||
|
||||
# Expose constants especially the version number
|
||||
|
||||
__author__ = constants.__author__
|
||||
__author_email__ = constants.__author_email__
|
||||
__license__ = constants.__license__
|
||||
__maintainer_email__ = constants.__maintainer_email__
|
||||
__url__ = constants.__url__
|
||||
__version__ = constants.__version__
|
||||
13
venv/lib/python3.12/site-packages/openpyxl/_constants.py
Normal file
13
venv/lib/python3.12/site-packages/openpyxl/_constants.py
Normal file
@@ -0,0 +1,13 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
"""
|
||||
Package metadata
|
||||
"""
|
||||
|
||||
__author__ = "See AUTHORS"
|
||||
__author_email__ = "charlie.clark@clark-consulting.eu"
|
||||
__license__ = "MIT"
|
||||
__maintainer_email__ = "openpyxl-users@googlegroups.com"
|
||||
__url__ = "https://openpyxl.readthedocs.io"
|
||||
__version__ = "3.1.5"
|
||||
__python__ = "3.8"
|
||||
@@ -0,0 +1,4 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
from .cell import Cell, WriteOnlyCell, MergedCell
|
||||
from .read_only import ReadOnlyCell
|
||||
136
venv/lib/python3.12/site-packages/openpyxl/cell/_writer.py
Normal file
136
venv/lib/python3.12/site-packages/openpyxl/cell/_writer.py
Normal file
@@ -0,0 +1,136 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
from openpyxl.compat import safe_string
|
||||
from openpyxl.xml.functions import Element, SubElement, whitespace, XML_NS
|
||||
from openpyxl import LXML
|
||||
from openpyxl.utils.datetime import to_excel, to_ISO8601
|
||||
from datetime import timedelta
|
||||
|
||||
from openpyxl.worksheet.formula import DataTableFormula, ArrayFormula
|
||||
from openpyxl.cell.rich_text import CellRichText
|
||||
|
||||
def _set_attributes(cell, styled=None):
|
||||
"""
|
||||
Set coordinate and datatype
|
||||
"""
|
||||
coordinate = cell.coordinate
|
||||
attrs = {'r': coordinate}
|
||||
if styled:
|
||||
attrs['s'] = f"{cell.style_id}"
|
||||
|
||||
if cell.data_type == "s":
|
||||
attrs['t'] = "inlineStr"
|
||||
elif cell.data_type != 'f':
|
||||
attrs['t'] = cell.data_type
|
||||
|
||||
value = cell._value
|
||||
|
||||
if cell.data_type == "d":
|
||||
if hasattr(value, "tzinfo") and value.tzinfo is not None:
|
||||
raise TypeError("Excel does not support timezones in datetimes. "
|
||||
"The tzinfo in the datetime/time object must be set to None.")
|
||||
|
||||
if cell.parent.parent.iso_dates and not isinstance(value, timedelta):
|
||||
value = to_ISO8601(value)
|
||||
else:
|
||||
attrs['t'] = "n"
|
||||
value = to_excel(value, cell.parent.parent.epoch)
|
||||
|
||||
if cell.hyperlink:
|
||||
cell.parent._hyperlinks.append(cell.hyperlink)
|
||||
|
||||
return value, attrs
|
||||
|
||||
|
||||
def etree_write_cell(xf, worksheet, cell, styled=None):
|
||||
|
||||
value, attributes = _set_attributes(cell, styled)
|
||||
|
||||
el = Element("c", attributes)
|
||||
if value is None or value == "":
|
||||
xf.write(el)
|
||||
return
|
||||
|
||||
if cell.data_type == 'f':
|
||||
attrib = {}
|
||||
|
||||
if isinstance(value, ArrayFormula):
|
||||
attrib = dict(value)
|
||||
value = value.text
|
||||
|
||||
elif isinstance(value, DataTableFormula):
|
||||
attrib = dict(value)
|
||||
value = None
|
||||
|
||||
formula = SubElement(el, 'f', attrib)
|
||||
if value is not None and not attrib.get('t') == "dataTable":
|
||||
formula.text = value[1:]
|
||||
value = None
|
||||
|
||||
if cell.data_type == 's':
|
||||
if isinstance(value, CellRichText):
|
||||
el.append(value.to_tree())
|
||||
else:
|
||||
inline_string = Element("is")
|
||||
text = Element('t')
|
||||
text.text = value
|
||||
whitespace(text)
|
||||
inline_string.append(text)
|
||||
el.append(inline_string)
|
||||
|
||||
else:
|
||||
cell_content = SubElement(el, 'v')
|
||||
if value is not None:
|
||||
cell_content.text = safe_string(value)
|
||||
|
||||
xf.write(el)
|
||||
|
||||
|
||||
def lxml_write_cell(xf, worksheet, cell, styled=False):
|
||||
value, attributes = _set_attributes(cell, styled)
|
||||
|
||||
if value == '' or value is None:
|
||||
with xf.element("c", attributes):
|
||||
return
|
||||
|
||||
with xf.element('c', attributes):
|
||||
if cell.data_type == 'f':
|
||||
attrib = {}
|
||||
|
||||
if isinstance(value, ArrayFormula):
|
||||
attrib = dict(value)
|
||||
value = value.text
|
||||
|
||||
elif isinstance(value, DataTableFormula):
|
||||
attrib = dict(value)
|
||||
value = None
|
||||
|
||||
with xf.element('f', attrib):
|
||||
if value is not None and not attrib.get('t') == "dataTable":
|
||||
xf.write(value[1:])
|
||||
value = None
|
||||
|
||||
if cell.data_type == 's':
|
||||
if isinstance(value, CellRichText):
|
||||
el = value.to_tree()
|
||||
xf.write(el)
|
||||
else:
|
||||
with xf.element("is"):
|
||||
if isinstance(value, str):
|
||||
attrs = {}
|
||||
if value != value.strip():
|
||||
attrs["{%s}space" % XML_NS] = "preserve"
|
||||
el = Element("t", attrs) # lxml can't handle xml-ns
|
||||
el.text = value
|
||||
xf.write(el)
|
||||
|
||||
else:
|
||||
with xf.element("v"):
|
||||
if value is not None:
|
||||
xf.write(safe_string(value))
|
||||
|
||||
|
||||
if LXML:
|
||||
write_cell = lxml_write_cell
|
||||
else:
|
||||
write_cell = etree_write_cell
|
||||
332
venv/lib/python3.12/site-packages/openpyxl/cell/cell.py
Normal file
332
venv/lib/python3.12/site-packages/openpyxl/cell/cell.py
Normal file
@@ -0,0 +1,332 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
"""Manage individual cells in a spreadsheet.
|
||||
|
||||
The Cell class is required to know its value and type, display options,
|
||||
and any other features of an Excel cell. Utilities for referencing
|
||||
cells using Excel's 'A1' column/row nomenclature are also provided.
|
||||
|
||||
"""
|
||||
|
||||
__docformat__ = "restructuredtext en"
|
||||
|
||||
# Python stdlib imports
|
||||
from copy import copy
|
||||
import datetime
|
||||
import re
|
||||
|
||||
|
||||
from openpyxl.compat import (
|
||||
NUMERIC_TYPES,
|
||||
)
|
||||
|
||||
from openpyxl.utils.exceptions import IllegalCharacterError
|
||||
|
||||
from openpyxl.utils import get_column_letter
|
||||
from openpyxl.styles import numbers, is_date_format
|
||||
from openpyxl.styles.styleable import StyleableObject
|
||||
from openpyxl.worksheet.hyperlink import Hyperlink
|
||||
from openpyxl.worksheet.formula import DataTableFormula, ArrayFormula
|
||||
from openpyxl.cell.rich_text import CellRichText
|
||||
|
||||
# constants
|
||||
|
||||
TIME_TYPES = (datetime.datetime, datetime.date, datetime.time, datetime.timedelta)
|
||||
TIME_FORMATS = {
|
||||
datetime.datetime:numbers.FORMAT_DATE_DATETIME,
|
||||
datetime.date:numbers.FORMAT_DATE_YYYYMMDD2,
|
||||
datetime.time:numbers.FORMAT_DATE_TIME6,
|
||||
datetime.timedelta:numbers.FORMAT_DATE_TIMEDELTA,
|
||||
}
|
||||
|
||||
STRING_TYPES = (str, bytes, CellRichText)
|
||||
KNOWN_TYPES = NUMERIC_TYPES + TIME_TYPES + STRING_TYPES + (bool, type(None))
|
||||
|
||||
ILLEGAL_CHARACTERS_RE = re.compile(r'[\000-\010]|[\013-\014]|[\016-\037]')
|
||||
ERROR_CODES = ('#NULL!', '#DIV/0!', '#VALUE!', '#REF!', '#NAME?', '#NUM!',
|
||||
'#N/A')
|
||||
|
||||
TYPE_STRING = 's'
|
||||
TYPE_FORMULA = 'f'
|
||||
TYPE_NUMERIC = 'n'
|
||||
TYPE_BOOL = 'b'
|
||||
TYPE_NULL = 'n'
|
||||
TYPE_INLINE = 'inlineStr'
|
||||
TYPE_ERROR = 'e'
|
||||
TYPE_FORMULA_CACHE_STRING = 'str'
|
||||
|
||||
VALID_TYPES = (TYPE_STRING, TYPE_FORMULA, TYPE_NUMERIC, TYPE_BOOL,
|
||||
TYPE_NULL, TYPE_INLINE, TYPE_ERROR, TYPE_FORMULA_CACHE_STRING)
|
||||
|
||||
|
||||
_TYPES = {int:'n', float:'n', str:'s', bool:'b'}
|
||||
|
||||
|
||||
def get_type(t, value):
|
||||
if isinstance(value, NUMERIC_TYPES):
|
||||
dt = 'n'
|
||||
elif isinstance(value, STRING_TYPES):
|
||||
dt = 's'
|
||||
elif isinstance(value, TIME_TYPES):
|
||||
dt = 'd'
|
||||
elif isinstance(value, (DataTableFormula, ArrayFormula)):
|
||||
dt = 'f'
|
||||
else:
|
||||
return
|
||||
_TYPES[t] = dt
|
||||
return dt
|
||||
|
||||
|
||||
def get_time_format(t):
|
||||
value = TIME_FORMATS.get(t)
|
||||
if value:
|
||||
return value
|
||||
for base in t.mro()[1:]:
|
||||
value = TIME_FORMATS.get(base)
|
||||
if value:
|
||||
TIME_FORMATS[t] = value
|
||||
return value
|
||||
raise ValueError("Could not get time format for {0!r}".format(value))
|
||||
|
||||
|
||||
class Cell(StyleableObject):
|
||||
"""Describes cell associated properties.
|
||||
|
||||
Properties of interest include style, type, value, and address.
|
||||
|
||||
"""
|
||||
__slots__ = (
|
||||
'row',
|
||||
'column',
|
||||
'_value',
|
||||
'data_type',
|
||||
'parent',
|
||||
'_hyperlink',
|
||||
'_comment',
|
||||
)
|
||||
|
||||
def __init__(self, worksheet, row=None, column=None, value=None, style_array=None):
|
||||
super().__init__(worksheet, style_array)
|
||||
self.row = row
|
||||
"""Row number of this cell (1-based)"""
|
||||
self.column = column
|
||||
"""Column number of this cell (1-based)"""
|
||||
# _value is the stored value, while value is the displayed value
|
||||
self._value = None
|
||||
self._hyperlink = None
|
||||
self.data_type = 'n'
|
||||
if value is not None:
|
||||
self.value = value
|
||||
self._comment = None
|
||||
|
||||
|
||||
@property
|
||||
def coordinate(self):
|
||||
"""This cell's coordinate (ex. 'A5')"""
|
||||
col = get_column_letter(self.column)
|
||||
return f"{col}{self.row}"
|
||||
|
||||
|
||||
@property
|
||||
def col_idx(self):
|
||||
"""The numerical index of the column"""
|
||||
return self.column
|
||||
|
||||
|
||||
@property
|
||||
def column_letter(self):
|
||||
return get_column_letter(self.column)
|
||||
|
||||
|
||||
@property
|
||||
def encoding(self):
|
||||
return self.parent.encoding
|
||||
|
||||
@property
|
||||
def base_date(self):
|
||||
return self.parent.parent.epoch
|
||||
|
||||
|
||||
def __repr__(self):
|
||||
return "<Cell {0!r}.{1}>".format(self.parent.title, self.coordinate)
|
||||
|
||||
def check_string(self, value):
|
||||
"""Check string coding, length, and line break character"""
|
||||
if value is None:
|
||||
return
|
||||
# convert to str string
|
||||
if not isinstance(value, str):
|
||||
value = str(value, self.encoding)
|
||||
value = str(value)
|
||||
# string must never be longer than 32,767 characters
|
||||
# truncate if necessary
|
||||
value = value[:32767]
|
||||
if next(ILLEGAL_CHARACTERS_RE.finditer(value), None):
|
||||
raise IllegalCharacterError(f"{value} cannot be used in worksheets.")
|
||||
return value
|
||||
|
||||
def check_error(self, value):
|
||||
"""Tries to convert Error" else N/A"""
|
||||
try:
|
||||
return str(value)
|
||||
except UnicodeDecodeError:
|
||||
return u'#N/A'
|
||||
|
||||
|
||||
def _bind_value(self, value):
|
||||
"""Given a value, infer the correct data type"""
|
||||
|
||||
self.data_type = "n"
|
||||
t = type(value)
|
||||
try:
|
||||
dt = _TYPES[t]
|
||||
except KeyError:
|
||||
dt = get_type(t, value)
|
||||
|
||||
if dt is None and value is not None:
|
||||
raise ValueError("Cannot convert {0!r} to Excel".format(value))
|
||||
|
||||
if dt:
|
||||
self.data_type = dt
|
||||
|
||||
if dt == 'd':
|
||||
if not is_date_format(self.number_format):
|
||||
self.number_format = get_time_format(t)
|
||||
|
||||
elif dt == "s" and not isinstance(value, CellRichText):
|
||||
value = self.check_string(value)
|
||||
if len(value) > 1 and value.startswith("="):
|
||||
self.data_type = 'f'
|
||||
elif value in ERROR_CODES:
|
||||
self.data_type = 'e'
|
||||
|
||||
self._value = value
|
||||
|
||||
|
||||
@property
|
||||
def value(self):
|
||||
"""Get or set the value held in the cell.
|
||||
|
||||
:type: depends on the value (string, float, int or
|
||||
:class:`datetime.datetime`)
|
||||
"""
|
||||
return self._value
|
||||
|
||||
@value.setter
|
||||
def value(self, value):
|
||||
"""Set the value and infer type and display options."""
|
||||
self._bind_value(value)
|
||||
|
||||
@property
|
||||
def internal_value(self):
|
||||
"""Always returns the value for excel."""
|
||||
return self._value
|
||||
|
||||
@property
|
||||
def hyperlink(self):
|
||||
"""Return the hyperlink target or an empty string"""
|
||||
return self._hyperlink
|
||||
|
||||
|
||||
@hyperlink.setter
|
||||
def hyperlink(self, val):
|
||||
"""Set value and display for hyperlinks in a cell.
|
||||
Automatically sets the `value` of the cell with link text,
|
||||
but you can modify it afterwards by setting the `value`
|
||||
property, and the hyperlink will remain.
|
||||
Hyperlink is removed if set to ``None``."""
|
||||
if val is None:
|
||||
self._hyperlink = None
|
||||
else:
|
||||
if not isinstance(val, Hyperlink):
|
||||
val = Hyperlink(ref="", target=val)
|
||||
val.ref = self.coordinate
|
||||
self._hyperlink = val
|
||||
if self._value is None:
|
||||
self.value = val.target or val.location
|
||||
|
||||
|
||||
@property
|
||||
def is_date(self):
|
||||
"""True if the value is formatted as a date
|
||||
|
||||
:type: bool
|
||||
"""
|
||||
return self.data_type == 'd' or (
|
||||
self.data_type == 'n' and is_date_format(self.number_format)
|
||||
)
|
||||
|
||||
|
||||
def offset(self, row=0, column=0):
|
||||
"""Returns a cell location relative to this cell.
|
||||
|
||||
:param row: number of rows to offset
|
||||
:type row: int
|
||||
|
||||
:param column: number of columns to offset
|
||||
:type column: int
|
||||
|
||||
:rtype: :class:`openpyxl.cell.Cell`
|
||||
"""
|
||||
offset_column = self.col_idx + column
|
||||
offset_row = self.row + row
|
||||
return self.parent.cell(column=offset_column, row=offset_row)
|
||||
|
||||
|
||||
@property
|
||||
def comment(self):
|
||||
""" Returns the comment associated with this cell
|
||||
|
||||
:type: :class:`openpyxl.comments.Comment`
|
||||
"""
|
||||
return self._comment
|
||||
|
||||
|
||||
@comment.setter
|
||||
def comment(self, value):
|
||||
"""
|
||||
Assign a comment to a cell
|
||||
"""
|
||||
|
||||
if value is not None:
|
||||
if value.parent:
|
||||
value = copy(value)
|
||||
value.bind(self)
|
||||
elif value is None and self._comment:
|
||||
self._comment.unbind()
|
||||
self._comment = value
|
||||
|
||||
|
||||
class MergedCell(StyleableObject):
|
||||
|
||||
"""
|
||||
Describes the properties of a cell in a merged cell and helps to
|
||||
display the borders of the merged cell.
|
||||
|
||||
The value of a MergedCell is always None.
|
||||
"""
|
||||
|
||||
__slots__ = ('row', 'column')
|
||||
|
||||
_value = None
|
||||
data_type = "n"
|
||||
comment = None
|
||||
hyperlink = None
|
||||
|
||||
|
||||
def __init__(self, worksheet, row=None, column=None):
|
||||
super().__init__(worksheet)
|
||||
self.row = row
|
||||
self.column = column
|
||||
|
||||
|
||||
def __repr__(self):
|
||||
return "<MergedCell {0!r}.{1}>".format(self.parent.title, self.coordinate)
|
||||
|
||||
coordinate = Cell.coordinate
|
||||
_comment = comment
|
||||
value = _value
|
||||
|
||||
|
||||
def WriteOnlyCell(ws=None, value=None):
|
||||
return Cell(worksheet=ws, column=1, row=1, value=value)
|
||||
136
venv/lib/python3.12/site-packages/openpyxl/cell/read_only.py
Normal file
136
venv/lib/python3.12/site-packages/openpyxl/cell/read_only.py
Normal file
@@ -0,0 +1,136 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
from openpyxl.cell import Cell
|
||||
from openpyxl.utils import get_column_letter
|
||||
from openpyxl.utils.datetime import from_excel
|
||||
from openpyxl.styles import is_date_format
|
||||
from openpyxl.styles.numbers import BUILTIN_FORMATS, BUILTIN_FORMATS_MAX_SIZE
|
||||
|
||||
|
||||
class ReadOnlyCell:
|
||||
|
||||
__slots__ = ('parent', 'row', 'column', '_value', 'data_type', '_style_id')
|
||||
|
||||
def __init__(self, sheet, row, column, value, data_type='n', style_id=0):
|
||||
self.parent = sheet
|
||||
self._value = None
|
||||
self.row = row
|
||||
self.column = column
|
||||
self.data_type = data_type
|
||||
self.value = value
|
||||
self._style_id = style_id
|
||||
|
||||
|
||||
def __eq__(self, other):
|
||||
for a in self.__slots__:
|
||||
if getattr(self, a) != getattr(other, a):
|
||||
return
|
||||
return True
|
||||
|
||||
def __ne__(self, other):
|
||||
return not self.__eq__(other)
|
||||
|
||||
|
||||
def __repr__(self):
|
||||
return "<ReadOnlyCell {0!r}.{1}>".format(self.parent.title, self.coordinate)
|
||||
|
||||
|
||||
@property
|
||||
def coordinate(self):
|
||||
column = get_column_letter(self.column)
|
||||
return "{1}{0}".format(self.row, column)
|
||||
|
||||
|
||||
@property
|
||||
def coordinate(self):
|
||||
return Cell.coordinate.__get__(self)
|
||||
|
||||
|
||||
@property
|
||||
def column_letter(self):
|
||||
return Cell.column_letter.__get__(self)
|
||||
|
||||
|
||||
@property
|
||||
def style_array(self):
|
||||
return self.parent.parent._cell_styles[self._style_id]
|
||||
|
||||
|
||||
@property
|
||||
def has_style(self):
|
||||
return self._style_id != 0
|
||||
|
||||
|
||||
@property
|
||||
def number_format(self):
|
||||
_id = self.style_array.numFmtId
|
||||
if _id < BUILTIN_FORMATS_MAX_SIZE:
|
||||
return BUILTIN_FORMATS.get(_id, "General")
|
||||
else:
|
||||
return self.parent.parent._number_formats[
|
||||
_id - BUILTIN_FORMATS_MAX_SIZE]
|
||||
|
||||
@property
|
||||
def font(self):
|
||||
_id = self.style_array.fontId
|
||||
return self.parent.parent._fonts[_id]
|
||||
|
||||
@property
|
||||
def fill(self):
|
||||
_id = self.style_array.fillId
|
||||
return self.parent.parent._fills[_id]
|
||||
|
||||
@property
|
||||
def border(self):
|
||||
_id = self.style_array.borderId
|
||||
return self.parent.parent._borders[_id]
|
||||
|
||||
@property
|
||||
def alignment(self):
|
||||
_id = self.style_array.alignmentId
|
||||
return self.parent.parent._alignments[_id]
|
||||
|
||||
@property
|
||||
def protection(self):
|
||||
_id = self.style_array.protectionId
|
||||
return self.parent.parent._protections[_id]
|
||||
|
||||
|
||||
@property
|
||||
def is_date(self):
|
||||
return Cell.is_date.__get__(self)
|
||||
|
||||
|
||||
@property
|
||||
def internal_value(self):
|
||||
return self._value
|
||||
|
||||
@property
|
||||
def value(self):
|
||||
return self._value
|
||||
|
||||
@value.setter
|
||||
def value(self, value):
|
||||
if self._value is not None:
|
||||
raise AttributeError("Cell is read only")
|
||||
self._value = value
|
||||
|
||||
|
||||
class EmptyCell:
|
||||
|
||||
__slots__ = ()
|
||||
|
||||
value = None
|
||||
is_date = False
|
||||
font = None
|
||||
border = None
|
||||
fill = None
|
||||
number_format = None
|
||||
alignment = None
|
||||
data_type = 'n'
|
||||
|
||||
|
||||
def __repr__(self):
|
||||
return "<EmptyCell>"
|
||||
|
||||
EMPTY_CELL = EmptyCell()
|
||||
202
venv/lib/python3.12/site-packages/openpyxl/cell/rich_text.py
Normal file
202
venv/lib/python3.12/site-packages/openpyxl/cell/rich_text.py
Normal file
@@ -0,0 +1,202 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
"""
|
||||
RichText definition
|
||||
"""
|
||||
from copy import copy
|
||||
from openpyxl.compat import NUMERIC_TYPES
|
||||
from openpyxl.cell.text import InlineFont, Text
|
||||
from openpyxl.descriptors import (
|
||||
Strict,
|
||||
String,
|
||||
Typed
|
||||
)
|
||||
|
||||
from openpyxl.xml.functions import Element, whitespace
|
||||
|
||||
class TextBlock(Strict):
|
||||
""" Represents text string in a specific format
|
||||
|
||||
This class is used as part of constructing a rich text strings.
|
||||
"""
|
||||
font = Typed(expected_type=InlineFont)
|
||||
text = String()
|
||||
|
||||
def __init__(self, font, text):
|
||||
self.font = font
|
||||
self.text = text
|
||||
|
||||
|
||||
def __eq__(self, other):
|
||||
return self.text == other.text and self.font == other.font
|
||||
|
||||
|
||||
def __str__(self):
|
||||
"""Just retun the text"""
|
||||
return self.text
|
||||
|
||||
|
||||
def __repr__(self):
|
||||
font = self.font != InlineFont() and self.font or "default"
|
||||
return f"{self.__class__.__name__} text={self.text}, font={font}"
|
||||
|
||||
|
||||
def to_tree(self):
|
||||
el = Element("r")
|
||||
el.append(self.font.to_tree(tagname="rPr"))
|
||||
t = Element("t")
|
||||
t.text = self.text
|
||||
whitespace(t)
|
||||
el.append(t)
|
||||
return el
|
||||
|
||||
#
|
||||
# Rich Text class.
|
||||
# This class behaves just like a list whose members are either simple strings, or TextBlock() instances.
|
||||
# In addition, it can be initialized in several ways:
|
||||
# t = CellRFichText([...]) # initialize with a list.
|
||||
# t = CellRFichText((...)) # initialize with a tuple.
|
||||
# t = CellRichText(node) # where node is an Element() from either lxml or xml.etree (has a 'tag' element)
|
||||
class CellRichText(list):
|
||||
"""Represents a rich text string.
|
||||
|
||||
Initialize with a list made of pure strings or :class:`TextBlock` elements
|
||||
Can index object to access or modify individual rich text elements
|
||||
it also supports the + and += operators between rich text strings
|
||||
There are no user methods for this class
|
||||
|
||||
operations which modify the string will generally call an optimization pass afterwards,
|
||||
that merges text blocks with identical formats, consecutive pure text strings,
|
||||
and remove empty strings and empty text blocks
|
||||
"""
|
||||
|
||||
def __init__(self, *args):
|
||||
if len(args) == 1:
|
||||
args = args[0]
|
||||
if isinstance(args, (list, tuple)):
|
||||
CellRichText._check_rich_text(args)
|
||||
else:
|
||||
CellRichText._check_element(args)
|
||||
args = [args]
|
||||
else:
|
||||
CellRichText._check_rich_text(args)
|
||||
super().__init__(args)
|
||||
|
||||
|
||||
@classmethod
|
||||
def _check_element(cls, value):
|
||||
if not isinstance(value, (str, TextBlock, NUMERIC_TYPES)):
|
||||
raise TypeError(f"Illegal CellRichText element {value}")
|
||||
|
||||
|
||||
@classmethod
|
||||
def _check_rich_text(cls, rich_text):
|
||||
for t in rich_text:
|
||||
CellRichText._check_element(t)
|
||||
|
||||
@classmethod
|
||||
def from_tree(cls, node):
|
||||
text = Text.from_tree(node)
|
||||
if text.t:
|
||||
return (text.t.replace('x005F_', ''),)
|
||||
s = []
|
||||
for r in text.r:
|
||||
t = ""
|
||||
if r.t:
|
||||
t = r.t.replace('x005F_', '')
|
||||
if r.rPr:
|
||||
s.append(TextBlock(r.rPr, t))
|
||||
else:
|
||||
s.append(t)
|
||||
return cls(s)
|
||||
|
||||
# Merge TextBlocks with identical formatting
|
||||
# remove empty elements
|
||||
def _opt(self):
|
||||
last_t = None
|
||||
l = CellRichText(tuple())
|
||||
for t in self:
|
||||
if isinstance(t, str):
|
||||
if not t:
|
||||
continue
|
||||
elif not t.text:
|
||||
continue
|
||||
if type(last_t) == type(t):
|
||||
if isinstance(t, str):
|
||||
last_t += t
|
||||
continue
|
||||
elif last_t.font == t.font:
|
||||
last_t.text += t.text
|
||||
continue
|
||||
if last_t:
|
||||
l.append(last_t)
|
||||
last_t = t
|
||||
if last_t:
|
||||
# Add remaining TextBlock at end of rich text
|
||||
l.append(last_t)
|
||||
super().__setitem__(slice(None), l)
|
||||
return self
|
||||
|
||||
|
||||
def __iadd__(self, arg):
|
||||
# copy used here to create new TextBlock() so we don't modify the right hand side in _opt()
|
||||
CellRichText._check_rich_text(arg)
|
||||
super().__iadd__([copy(e) for e in list(arg)])
|
||||
return self._opt()
|
||||
|
||||
|
||||
def __add__(self, arg):
|
||||
return CellRichText([copy(e) for e in list(self) + list(arg)])._opt()
|
||||
|
||||
|
||||
def __setitem__(self, indx, val):
|
||||
CellRichText._check_element(val)
|
||||
super().__setitem__(indx, val)
|
||||
self._opt()
|
||||
|
||||
|
||||
def append(self, arg):
|
||||
CellRichText._check_element(arg)
|
||||
super().append(arg)
|
||||
|
||||
|
||||
def extend(self, arg):
|
||||
CellRichText._check_rich_text(arg)
|
||||
super().extend(arg)
|
||||
|
||||
|
||||
def __repr__(self):
|
||||
return "CellRichText([{}])".format(', '.join((repr(s) for s in self)))
|
||||
|
||||
|
||||
def __str__(self):
|
||||
return ''.join([str(s) for s in self])
|
||||
|
||||
|
||||
def as_list(self):
|
||||
"""
|
||||
Returns a list of the strings contained.
|
||||
The main reason for this is to make editing easier.
|
||||
"""
|
||||
return [str(s) for s in self]
|
||||
|
||||
|
||||
def to_tree(self):
|
||||
"""
|
||||
Return the full XML representation
|
||||
"""
|
||||
container = Element("is")
|
||||
for obj in self:
|
||||
if isinstance(obj, TextBlock):
|
||||
container.append(obj.to_tree())
|
||||
|
||||
else:
|
||||
el = Element("r")
|
||||
t = Element("t")
|
||||
t.text = obj
|
||||
whitespace(t)
|
||||
el.append(t)
|
||||
container.append(el)
|
||||
|
||||
return container
|
||||
|
||||
184
venv/lib/python3.12/site-packages/openpyxl/cell/text.py
Normal file
184
venv/lib/python3.12/site-packages/openpyxl/cell/text.py
Normal file
@@ -0,0 +1,184 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
"""
|
||||
Richtext definition
|
||||
"""
|
||||
|
||||
from openpyxl.descriptors.serialisable import Serialisable
|
||||
from openpyxl.descriptors import (
|
||||
Alias,
|
||||
Typed,
|
||||
Integer,
|
||||
Set,
|
||||
NoneSet,
|
||||
Bool,
|
||||
String,
|
||||
Sequence,
|
||||
)
|
||||
from openpyxl.descriptors.nested import (
|
||||
NestedBool,
|
||||
NestedInteger,
|
||||
NestedString,
|
||||
NestedText,
|
||||
)
|
||||
from openpyxl.styles.fonts import Font
|
||||
|
||||
|
||||
class PhoneticProperties(Serialisable):
|
||||
|
||||
tagname = "phoneticPr"
|
||||
|
||||
fontId = Integer()
|
||||
type = NoneSet(values=(['halfwidthKatakana', 'fullwidthKatakana',
|
||||
'Hiragana', 'noConversion']))
|
||||
alignment = NoneSet(values=(['noControl', 'left', 'center', 'distributed']))
|
||||
|
||||
def __init__(self,
|
||||
fontId=None,
|
||||
type=None,
|
||||
alignment=None,
|
||||
):
|
||||
self.fontId = fontId
|
||||
self.type = type
|
||||
self.alignment = alignment
|
||||
|
||||
|
||||
class PhoneticText(Serialisable):
|
||||
|
||||
tagname = "rPh"
|
||||
|
||||
sb = Integer()
|
||||
eb = Integer()
|
||||
t = NestedText(expected_type=str)
|
||||
text = Alias('t')
|
||||
|
||||
def __init__(self,
|
||||
sb=None,
|
||||
eb=None,
|
||||
t=None,
|
||||
):
|
||||
self.sb = sb
|
||||
self.eb = eb
|
||||
self.t = t
|
||||
|
||||
|
||||
class InlineFont(Font):
|
||||
|
||||
"""
|
||||
Font for inline text because, yes what you need are different objects with the same elements but different constraints.
|
||||
"""
|
||||
|
||||
tagname = "RPrElt"
|
||||
|
||||
rFont = NestedString(allow_none=True)
|
||||
charset = Font.charset
|
||||
family = Font.family
|
||||
b =Font.b
|
||||
i = Font.i
|
||||
strike = Font.strike
|
||||
outline = Font.outline
|
||||
shadow = Font.shadow
|
||||
condense = Font.condense
|
||||
extend = Font.extend
|
||||
color = Font.color
|
||||
sz = Font.sz
|
||||
u = Font.u
|
||||
vertAlign = Font.vertAlign
|
||||
scheme = Font.scheme
|
||||
|
||||
__elements__ = ('rFont', 'charset', 'family', 'b', 'i', 'strike',
|
||||
'outline', 'shadow', 'condense', 'extend', 'color', 'sz', 'u',
|
||||
'vertAlign', 'scheme')
|
||||
|
||||
def __init__(self,
|
||||
rFont=None,
|
||||
charset=None,
|
||||
family=None,
|
||||
b=None,
|
||||
i=None,
|
||||
strike=None,
|
||||
outline=None,
|
||||
shadow=None,
|
||||
condense=None,
|
||||
extend=None,
|
||||
color=None,
|
||||
sz=None,
|
||||
u=None,
|
||||
vertAlign=None,
|
||||
scheme=None,
|
||||
):
|
||||
self.rFont = rFont
|
||||
self.charset = charset
|
||||
self.family = family
|
||||
self.b = b
|
||||
self.i = i
|
||||
self.strike = strike
|
||||
self.outline = outline
|
||||
self.shadow = shadow
|
||||
self.condense = condense
|
||||
self.extend = extend
|
||||
self.color = color
|
||||
self.sz = sz
|
||||
self.u = u
|
||||
self.vertAlign = vertAlign
|
||||
self.scheme = scheme
|
||||
|
||||
|
||||
class RichText(Serialisable):
|
||||
|
||||
tagname = "RElt"
|
||||
|
||||
rPr = Typed(expected_type=InlineFont, allow_none=True)
|
||||
font = Alias("rPr")
|
||||
t = NestedText(expected_type=str, allow_none=True)
|
||||
text = Alias("t")
|
||||
|
||||
__elements__ = ('rPr', 't')
|
||||
|
||||
def __init__(self,
|
||||
rPr=None,
|
||||
t=None,
|
||||
):
|
||||
self.rPr = rPr
|
||||
self.t = t
|
||||
|
||||
|
||||
class Text(Serialisable):
|
||||
|
||||
tagname = "text"
|
||||
|
||||
t = NestedText(allow_none=True, expected_type=str)
|
||||
plain = Alias("t")
|
||||
r = Sequence(expected_type=RichText, allow_none=True)
|
||||
formatted = Alias("r")
|
||||
rPh = Sequence(expected_type=PhoneticText, allow_none=True)
|
||||
phonetic = Alias("rPh")
|
||||
phoneticPr = Typed(expected_type=PhoneticProperties, allow_none=True)
|
||||
PhoneticProperties = Alias("phoneticPr")
|
||||
|
||||
__elements__ = ('t', 'r', 'rPh', 'phoneticPr')
|
||||
|
||||
def __init__(self,
|
||||
t=None,
|
||||
r=(),
|
||||
rPh=(),
|
||||
phoneticPr=None,
|
||||
):
|
||||
self.t = t
|
||||
self.r = r
|
||||
self.rPh = rPh
|
||||
self.phoneticPr = phoneticPr
|
||||
|
||||
|
||||
@property
|
||||
def content(self):
|
||||
"""
|
||||
Text stripped of all formatting
|
||||
"""
|
||||
snippets = []
|
||||
if self.plain is not None:
|
||||
snippets.append(self.plain)
|
||||
for block in self.formatted:
|
||||
if block.t is not None:
|
||||
snippets.append(block.t)
|
||||
return u"".join(snippets)
|
||||
105
venv/lib/python3.12/site-packages/openpyxl/chart/_3d.py
Normal file
105
venv/lib/python3.12/site-packages/openpyxl/chart/_3d.py
Normal file
@@ -0,0 +1,105 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
from openpyxl.descriptors import Typed, Alias
|
||||
from openpyxl.descriptors.serialisable import Serialisable
|
||||
from openpyxl.descriptors.nested import (
|
||||
NestedBool,
|
||||
NestedInteger,
|
||||
NestedMinMax,
|
||||
)
|
||||
from openpyxl.descriptors.excel import ExtensionList
|
||||
from .marker import PictureOptions
|
||||
from .shapes import GraphicalProperties
|
||||
|
||||
|
||||
class View3D(Serialisable):
|
||||
|
||||
tagname = "view3D"
|
||||
|
||||
rotX = NestedMinMax(min=-90, max=90, allow_none=True)
|
||||
x_rotation = Alias('rotX')
|
||||
hPercent = NestedMinMax(min=5, max=500, allow_none=True)
|
||||
height_percent = Alias('hPercent')
|
||||
rotY = NestedInteger(min=-90, max=90, allow_none=True)
|
||||
y_rotation = Alias('rotY')
|
||||
depthPercent = NestedInteger(allow_none=True)
|
||||
rAngAx = NestedBool(allow_none=True)
|
||||
right_angle_axes = Alias('rAngAx')
|
||||
perspective = NestedInteger(allow_none=True)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = ('rotX', 'hPercent', 'rotY', 'depthPercent', 'rAngAx',
|
||||
'perspective',)
|
||||
|
||||
def __init__(self,
|
||||
rotX=15,
|
||||
hPercent=None,
|
||||
rotY=20,
|
||||
depthPercent=None,
|
||||
rAngAx=True,
|
||||
perspective=None,
|
||||
extLst=None,
|
||||
):
|
||||
self.rotX = rotX
|
||||
self.hPercent = hPercent
|
||||
self.rotY = rotY
|
||||
self.depthPercent = depthPercent
|
||||
self.rAngAx = rAngAx
|
||||
self.perspective = perspective
|
||||
|
||||
|
||||
class Surface(Serialisable):
|
||||
|
||||
tagname = "surface"
|
||||
|
||||
thickness = NestedInteger(allow_none=True)
|
||||
spPr = Typed(expected_type=GraphicalProperties, allow_none=True)
|
||||
graphicalProperties = Alias('spPr')
|
||||
pictureOptions = Typed(expected_type=PictureOptions, allow_none=True)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = ('thickness', 'spPr', 'pictureOptions',)
|
||||
|
||||
def __init__(self,
|
||||
thickness=None,
|
||||
spPr=None,
|
||||
pictureOptions=None,
|
||||
extLst=None,
|
||||
):
|
||||
self.thickness = thickness
|
||||
self.spPr = spPr
|
||||
self.pictureOptions = pictureOptions
|
||||
|
||||
|
||||
class _3DBase(Serialisable):
|
||||
|
||||
"""
|
||||
Base class for 3D charts
|
||||
"""
|
||||
|
||||
tagname = "ChartBase"
|
||||
|
||||
view3D = Typed(expected_type=View3D, allow_none=True)
|
||||
floor = Typed(expected_type=Surface, allow_none=True)
|
||||
sideWall = Typed(expected_type=Surface, allow_none=True)
|
||||
backWall = Typed(expected_type=Surface, allow_none=True)
|
||||
|
||||
def __init__(self,
|
||||
view3D=None,
|
||||
floor=None,
|
||||
sideWall=None,
|
||||
backWall=None,
|
||||
):
|
||||
if view3D is None:
|
||||
view3D = View3D()
|
||||
self.view3D = view3D
|
||||
if floor is None:
|
||||
floor = Surface()
|
||||
self.floor = floor
|
||||
if sideWall is None:
|
||||
sideWall = Surface()
|
||||
self.sideWall = sideWall
|
||||
if backWall is None:
|
||||
backWall = Surface()
|
||||
self.backWall = backWall
|
||||
super(_3DBase, self).__init__()
|
||||
19
venv/lib/python3.12/site-packages/openpyxl/chart/__init__.py
Normal file
19
venv/lib/python3.12/site-packages/openpyxl/chart/__init__.py
Normal file
@@ -0,0 +1,19 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
from .area_chart import AreaChart, AreaChart3D
|
||||
from .bar_chart import BarChart, BarChart3D
|
||||
from .bubble_chart import BubbleChart
|
||||
from .line_chart import LineChart, LineChart3D
|
||||
from .pie_chart import (
|
||||
PieChart,
|
||||
PieChart3D,
|
||||
DoughnutChart,
|
||||
ProjectedPieChart
|
||||
)
|
||||
from .radar_chart import RadarChart
|
||||
from .scatter_chart import ScatterChart
|
||||
from .stock_chart import StockChart
|
||||
from .surface_chart import SurfaceChart, SurfaceChart3D
|
||||
|
||||
from .series_factory import SeriesFactory as Series
|
||||
from .reference import Reference
|
||||
199
venv/lib/python3.12/site-packages/openpyxl/chart/_chart.py
Normal file
199
venv/lib/python3.12/site-packages/openpyxl/chart/_chart.py
Normal file
@@ -0,0 +1,199 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
from collections import OrderedDict
|
||||
from operator import attrgetter
|
||||
|
||||
from openpyxl.descriptors import (
|
||||
Typed,
|
||||
Integer,
|
||||
Alias,
|
||||
MinMax,
|
||||
Bool,
|
||||
Set,
|
||||
)
|
||||
from openpyxl.descriptors.sequence import ValueSequence
|
||||
from openpyxl.descriptors.serialisable import Serialisable
|
||||
|
||||
from ._3d import _3DBase
|
||||
from .data_source import AxDataSource, NumRef
|
||||
from .layout import Layout
|
||||
from .legend import Legend
|
||||
from .reference import Reference
|
||||
from .series_factory import SeriesFactory
|
||||
from .series import attribute_mapping
|
||||
from .shapes import GraphicalProperties
|
||||
from .title import TitleDescriptor
|
||||
|
||||
class AxId(Serialisable):
|
||||
|
||||
val = Integer()
|
||||
|
||||
def __init__(self, val):
|
||||
self.val = val
|
||||
|
||||
|
||||
def PlotArea():
|
||||
from .chartspace import PlotArea
|
||||
return PlotArea()
|
||||
|
||||
|
||||
class ChartBase(Serialisable):
|
||||
|
||||
"""
|
||||
Base class for all charts
|
||||
"""
|
||||
|
||||
legend = Typed(expected_type=Legend, allow_none=True)
|
||||
layout = Typed(expected_type=Layout, allow_none=True)
|
||||
roundedCorners = Bool(allow_none=True)
|
||||
axId = ValueSequence(expected_type=int)
|
||||
visible_cells_only = Bool(allow_none=True)
|
||||
display_blanks = Set(values=['span', 'gap', 'zero'])
|
||||
graphical_properties = Typed(expected_type=GraphicalProperties, allow_none=True)
|
||||
|
||||
_series_type = ""
|
||||
ser = ()
|
||||
series = Alias('ser')
|
||||
title = TitleDescriptor()
|
||||
anchor = "E15" # default anchor position
|
||||
width = 15 # in cm, approx 5 rows
|
||||
height = 7.5 # in cm, approx 14 rows
|
||||
_id = 1
|
||||
_path = "/xl/charts/chart{0}.xml"
|
||||
style = MinMax(allow_none=True, min=1, max=48)
|
||||
mime_type = "application/vnd.openxmlformats-officedocument.drawingml.chart+xml"
|
||||
graphical_properties = Typed(expected_type=GraphicalProperties, allow_none=True) # mapped to chartspace
|
||||
|
||||
__elements__ = ()
|
||||
|
||||
|
||||
def __init__(self, axId=(), **kw):
|
||||
self._charts = [self]
|
||||
self.title = None
|
||||
self.layout = None
|
||||
self.roundedCorners = None
|
||||
self.legend = Legend()
|
||||
self.graphical_properties = None
|
||||
self.style = None
|
||||
self.plot_area = PlotArea()
|
||||
self.axId = axId
|
||||
self.display_blanks = 'gap'
|
||||
self.pivotSource = None
|
||||
self.pivotFormats = ()
|
||||
self.visible_cells_only = True
|
||||
self.idx_base = 0
|
||||
self.graphical_properties = None
|
||||
super().__init__()
|
||||
|
||||
|
||||
def __hash__(self):
|
||||
"""
|
||||
Just need to check for identity
|
||||
"""
|
||||
return id(self)
|
||||
|
||||
def __iadd__(self, other):
|
||||
"""
|
||||
Combine the chart with another one
|
||||
"""
|
||||
if not isinstance(other, ChartBase):
|
||||
raise TypeError("Only other charts can be added")
|
||||
self._charts.append(other)
|
||||
return self
|
||||
|
||||
|
||||
def to_tree(self, namespace=None, tagname=None, idx=None):
|
||||
self.axId = [id for id in self._axes]
|
||||
if self.ser is not None:
|
||||
for s in self.ser:
|
||||
s.__elements__ = attribute_mapping[self._series_type]
|
||||
return super().to_tree(tagname, idx)
|
||||
|
||||
|
||||
def _reindex(self):
|
||||
"""
|
||||
Normalise and rebase series: sort by order and then rebase order
|
||||
|
||||
"""
|
||||
# sort data series in order and rebase
|
||||
ds = sorted(self.series, key=attrgetter("order"))
|
||||
for idx, s in enumerate(ds):
|
||||
s.order = idx
|
||||
self.series = ds
|
||||
|
||||
|
||||
def _write(self):
|
||||
from .chartspace import ChartSpace, ChartContainer
|
||||
self.plot_area.layout = self.layout
|
||||
|
||||
idx_base = self.idx_base
|
||||
for chart in self._charts:
|
||||
if chart not in self.plot_area._charts:
|
||||
chart.idx_base = idx_base
|
||||
idx_base += len(chart.series)
|
||||
self.plot_area._charts = self._charts
|
||||
|
||||
container = ChartContainer(plotArea=self.plot_area, legend=self.legend, title=self.title)
|
||||
if isinstance(chart, _3DBase):
|
||||
container.view3D = chart.view3D
|
||||
container.floor = chart.floor
|
||||
container.sideWall = chart.sideWall
|
||||
container.backWall = chart.backWall
|
||||
container.plotVisOnly = self.visible_cells_only
|
||||
container.dispBlanksAs = self.display_blanks
|
||||
container.pivotFmts = self.pivotFormats
|
||||
cs = ChartSpace(chart=container)
|
||||
cs.style = self.style
|
||||
cs.roundedCorners = self.roundedCorners
|
||||
cs.pivotSource = self.pivotSource
|
||||
cs.spPr = self.graphical_properties
|
||||
return cs.to_tree()
|
||||
|
||||
|
||||
@property
|
||||
def _axes(self):
|
||||
x = getattr(self, "x_axis", None)
|
||||
y = getattr(self, "y_axis", None)
|
||||
z = getattr(self, "z_axis", None)
|
||||
return OrderedDict([(axis.axId, axis) for axis in (x, y, z) if axis])
|
||||
|
||||
|
||||
def set_categories(self, labels):
|
||||
"""
|
||||
Set the categories / x-axis values
|
||||
"""
|
||||
if not isinstance(labels, Reference):
|
||||
labels = Reference(range_string=labels)
|
||||
for s in self.ser:
|
||||
s.cat = AxDataSource(numRef=NumRef(f=labels))
|
||||
|
||||
|
||||
def add_data(self, data, from_rows=False, titles_from_data=False):
|
||||
"""
|
||||
Add a range of data in a single pass.
|
||||
The default is to treat each column as a data series.
|
||||
"""
|
||||
if not isinstance(data, Reference):
|
||||
data = Reference(range_string=data)
|
||||
|
||||
if from_rows:
|
||||
values = data.rows
|
||||
|
||||
else:
|
||||
values = data.cols
|
||||
|
||||
for ref in values:
|
||||
series = SeriesFactory(ref, title_from_data=titles_from_data)
|
||||
self.series.append(series)
|
||||
|
||||
|
||||
def append(self, value):
|
||||
"""Append a data series to the chart"""
|
||||
l = self.series[:]
|
||||
l.append(value)
|
||||
self.series = l
|
||||
|
||||
|
||||
@property
|
||||
def path(self):
|
||||
return self._path.format(self._id)
|
||||
106
venv/lib/python3.12/site-packages/openpyxl/chart/area_chart.py
Normal file
106
venv/lib/python3.12/site-packages/openpyxl/chart/area_chart.py
Normal file
@@ -0,0 +1,106 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
from openpyxl.descriptors.serialisable import Serialisable
|
||||
from openpyxl.descriptors import (
|
||||
Typed,
|
||||
Set,
|
||||
Bool,
|
||||
Integer,
|
||||
Sequence,
|
||||
Alias,
|
||||
)
|
||||
|
||||
from openpyxl.descriptors.excel import ExtensionList
|
||||
from openpyxl.descriptors.nested import (
|
||||
NestedMinMax,
|
||||
NestedSet,
|
||||
NestedBool,
|
||||
)
|
||||
|
||||
from ._chart import ChartBase
|
||||
from .descriptors import NestedGapAmount
|
||||
from .axis import TextAxis, NumericAxis, SeriesAxis, ChartLines
|
||||
from .label import DataLabelList
|
||||
from .series import Series
|
||||
|
||||
|
||||
class _AreaChartBase(ChartBase):
|
||||
|
||||
grouping = NestedSet(values=(['percentStacked', 'standard', 'stacked']))
|
||||
varyColors = NestedBool(nested=True, allow_none=True)
|
||||
ser = Sequence(expected_type=Series, allow_none=True)
|
||||
dLbls = Typed(expected_type=DataLabelList, allow_none=True)
|
||||
dataLabels = Alias("dLbls")
|
||||
dropLines = Typed(expected_type=ChartLines, allow_none=True)
|
||||
|
||||
_series_type = "area"
|
||||
|
||||
__elements__ = ('grouping', 'varyColors', 'ser', 'dLbls', 'dropLines')
|
||||
|
||||
def __init__(self,
|
||||
grouping="standard",
|
||||
varyColors=None,
|
||||
ser=(),
|
||||
dLbls=None,
|
||||
dropLines=None,
|
||||
):
|
||||
self.grouping = grouping
|
||||
self.varyColors = varyColors
|
||||
self.ser = ser
|
||||
self.dLbls = dLbls
|
||||
self.dropLines = dropLines
|
||||
super().__init__()
|
||||
|
||||
|
||||
class AreaChart(_AreaChartBase):
|
||||
|
||||
tagname = "areaChart"
|
||||
|
||||
grouping = _AreaChartBase.grouping
|
||||
varyColors = _AreaChartBase.varyColors
|
||||
ser = _AreaChartBase.ser
|
||||
dLbls = _AreaChartBase.dLbls
|
||||
dropLines = _AreaChartBase.dropLines
|
||||
|
||||
# chart properties actually used by containing classes
|
||||
x_axis = Typed(expected_type=TextAxis)
|
||||
y_axis = Typed(expected_type=NumericAxis)
|
||||
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = _AreaChartBase.__elements__ + ('axId',)
|
||||
|
||||
def __init__(self,
|
||||
axId=None,
|
||||
extLst=None,
|
||||
**kw
|
||||
):
|
||||
self.x_axis = TextAxis()
|
||||
self.y_axis = NumericAxis()
|
||||
super().__init__(**kw)
|
||||
|
||||
|
||||
class AreaChart3D(AreaChart):
|
||||
|
||||
tagname = "area3DChart"
|
||||
|
||||
grouping = _AreaChartBase.grouping
|
||||
varyColors = _AreaChartBase.varyColors
|
||||
ser = _AreaChartBase.ser
|
||||
dLbls = _AreaChartBase.dLbls
|
||||
dropLines = _AreaChartBase.dropLines
|
||||
|
||||
gapDepth = NestedGapAmount()
|
||||
|
||||
x_axis = Typed(expected_type=TextAxis)
|
||||
y_axis = Typed(expected_type=NumericAxis)
|
||||
z_axis = Typed(expected_type=SeriesAxis, allow_none=True)
|
||||
|
||||
__elements__ = AreaChart.__elements__ + ('gapDepth', )
|
||||
|
||||
def __init__(self, gapDepth=None, **kw):
|
||||
self.gapDepth = gapDepth
|
||||
super(AreaChart3D, self).__init__(**kw)
|
||||
self.x_axis = TextAxis()
|
||||
self.y_axis = NumericAxis()
|
||||
self.z_axis = SeriesAxis()
|
||||
401
venv/lib/python3.12/site-packages/openpyxl/chart/axis.py
Normal file
401
venv/lib/python3.12/site-packages/openpyxl/chart/axis.py
Normal file
@@ -0,0 +1,401 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
from openpyxl.descriptors.serialisable import Serialisable
|
||||
from openpyxl.descriptors import (
|
||||
Typed,
|
||||
Float,
|
||||
NoneSet,
|
||||
Bool,
|
||||
Integer,
|
||||
MinMax,
|
||||
NoneSet,
|
||||
Set,
|
||||
String,
|
||||
Alias,
|
||||
)
|
||||
|
||||
from openpyxl.descriptors.excel import (
|
||||
ExtensionList,
|
||||
Percentage,
|
||||
_explicit_none,
|
||||
)
|
||||
from openpyxl.descriptors.nested import (
|
||||
NestedValue,
|
||||
NestedSet,
|
||||
NestedBool,
|
||||
NestedNoneSet,
|
||||
NestedFloat,
|
||||
NestedInteger,
|
||||
NestedMinMax,
|
||||
)
|
||||
from openpyxl.xml.constants import CHART_NS
|
||||
|
||||
from .descriptors import NumberFormatDescriptor
|
||||
from .layout import Layout
|
||||
from .text import Text, RichText
|
||||
from .shapes import GraphicalProperties
|
||||
from .title import Title, TitleDescriptor
|
||||
|
||||
|
||||
class ChartLines(Serialisable):
|
||||
|
||||
tagname = "chartLines"
|
||||
|
||||
spPr = Typed(expected_type=GraphicalProperties, allow_none=True)
|
||||
graphicalProperties = Alias('spPr')
|
||||
|
||||
def __init__(self, spPr=None):
|
||||
self.spPr = spPr
|
||||
|
||||
|
||||
class Scaling(Serialisable):
|
||||
|
||||
tagname = "scaling"
|
||||
|
||||
logBase = NestedFloat(allow_none=True)
|
||||
orientation = NestedSet(values=(['maxMin', 'minMax']))
|
||||
max = NestedFloat(allow_none=True)
|
||||
min = NestedFloat(allow_none=True)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = ('logBase', 'orientation', 'max', 'min',)
|
||||
|
||||
def __init__(self,
|
||||
logBase=None,
|
||||
orientation="minMax",
|
||||
max=None,
|
||||
min=None,
|
||||
extLst=None,
|
||||
):
|
||||
self.logBase = logBase
|
||||
self.orientation = orientation
|
||||
self.max = max
|
||||
self.min = min
|
||||
|
||||
|
||||
class _BaseAxis(Serialisable):
|
||||
|
||||
axId = NestedInteger(expected_type=int)
|
||||
scaling = Typed(expected_type=Scaling)
|
||||
delete = NestedBool(allow_none=True)
|
||||
axPos = NestedSet(values=(['b', 'l', 'r', 't']))
|
||||
majorGridlines = Typed(expected_type=ChartLines, allow_none=True)
|
||||
minorGridlines = Typed(expected_type=ChartLines, allow_none=True)
|
||||
title = TitleDescriptor()
|
||||
numFmt = NumberFormatDescriptor()
|
||||
number_format = Alias("numFmt")
|
||||
majorTickMark = NestedNoneSet(values=(['cross', 'in', 'out']), to_tree=_explicit_none)
|
||||
minorTickMark = NestedNoneSet(values=(['cross', 'in', 'out']), to_tree=_explicit_none)
|
||||
tickLblPos = NestedNoneSet(values=(['high', 'low', 'nextTo']))
|
||||
spPr = Typed(expected_type=GraphicalProperties, allow_none=True)
|
||||
graphicalProperties = Alias('spPr')
|
||||
txPr = Typed(expected_type=RichText, allow_none=True)
|
||||
textProperties = Alias('txPr')
|
||||
crossAx = NestedInteger(expected_type=int) # references other axis
|
||||
crosses = NestedNoneSet(values=(['autoZero', 'max', 'min']))
|
||||
crossesAt = NestedFloat(allow_none=True)
|
||||
|
||||
# crosses & crossesAt are mutually exclusive
|
||||
|
||||
__elements__ = ('axId', 'scaling', 'delete', 'axPos', 'majorGridlines',
|
||||
'minorGridlines', 'title', 'numFmt', 'majorTickMark', 'minorTickMark',
|
||||
'tickLblPos', 'spPr', 'txPr', 'crossAx', 'crosses', 'crossesAt')
|
||||
|
||||
def __init__(self,
|
||||
axId=None,
|
||||
scaling=None,
|
||||
delete=None,
|
||||
axPos='l',
|
||||
majorGridlines=None,
|
||||
minorGridlines=None,
|
||||
title=None,
|
||||
numFmt=None,
|
||||
majorTickMark=None,
|
||||
minorTickMark=None,
|
||||
tickLblPos=None,
|
||||
spPr=None,
|
||||
txPr= None,
|
||||
crossAx=None,
|
||||
crosses=None,
|
||||
crossesAt=None,
|
||||
):
|
||||
self.axId = axId
|
||||
if scaling is None:
|
||||
scaling = Scaling()
|
||||
self.scaling = scaling
|
||||
self.delete = delete
|
||||
self.axPos = axPos
|
||||
self.majorGridlines = majorGridlines
|
||||
self.minorGridlines = minorGridlines
|
||||
self.title = title
|
||||
self.numFmt = numFmt
|
||||
self.majorTickMark = majorTickMark
|
||||
self.minorTickMark = minorTickMark
|
||||
self.tickLblPos = tickLblPos
|
||||
self.spPr = spPr
|
||||
self.txPr = txPr
|
||||
self.crossAx = crossAx
|
||||
self.crosses = crosses
|
||||
self.crossesAt = crossesAt
|
||||
|
||||
|
||||
class DisplayUnitsLabel(Serialisable):
|
||||
|
||||
tagname = "dispUnitsLbl"
|
||||
|
||||
layout = Typed(expected_type=Layout, allow_none=True)
|
||||
tx = Typed(expected_type=Text, allow_none=True)
|
||||
text = Alias("tx")
|
||||
spPr = Typed(expected_type=GraphicalProperties, allow_none=True)
|
||||
graphicalProperties = Alias("spPr")
|
||||
txPr = Typed(expected_type=RichText, allow_none=True)
|
||||
textPropertes = Alias("txPr")
|
||||
|
||||
__elements__ = ('layout', 'tx', 'spPr', 'txPr')
|
||||
|
||||
def __init__(self,
|
||||
layout=None,
|
||||
tx=None,
|
||||
spPr=None,
|
||||
txPr=None,
|
||||
):
|
||||
self.layout = layout
|
||||
self.tx = tx
|
||||
self.spPr = spPr
|
||||
self.txPr = txPr
|
||||
|
||||
|
||||
class DisplayUnitsLabelList(Serialisable):
|
||||
|
||||
tagname = "dispUnits"
|
||||
|
||||
custUnit = NestedFloat(allow_none=True)
|
||||
builtInUnit = NestedNoneSet(values=(['hundreds', 'thousands',
|
||||
'tenThousands', 'hundredThousands', 'millions', 'tenMillions',
|
||||
'hundredMillions', 'billions', 'trillions']))
|
||||
dispUnitsLbl = Typed(expected_type=DisplayUnitsLabel, allow_none=True)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = ('custUnit', 'builtInUnit', 'dispUnitsLbl',)
|
||||
|
||||
def __init__(self,
|
||||
custUnit=None,
|
||||
builtInUnit=None,
|
||||
dispUnitsLbl=None,
|
||||
extLst=None,
|
||||
):
|
||||
self.custUnit = custUnit
|
||||
self.builtInUnit = builtInUnit
|
||||
self.dispUnitsLbl = dispUnitsLbl
|
||||
|
||||
|
||||
class NumericAxis(_BaseAxis):
|
||||
|
||||
tagname = "valAx"
|
||||
|
||||
axId = _BaseAxis.axId
|
||||
scaling = _BaseAxis.scaling
|
||||
delete = _BaseAxis.delete
|
||||
axPos = _BaseAxis.axPos
|
||||
majorGridlines = _BaseAxis.majorGridlines
|
||||
minorGridlines = _BaseAxis.minorGridlines
|
||||
title = _BaseAxis.title
|
||||
numFmt = _BaseAxis.numFmt
|
||||
majorTickMark = _BaseAxis.majorTickMark
|
||||
minorTickMark = _BaseAxis.minorTickMark
|
||||
tickLblPos = _BaseAxis.tickLblPos
|
||||
spPr = _BaseAxis.spPr
|
||||
txPr = _BaseAxis.txPr
|
||||
crossAx = _BaseAxis.crossAx
|
||||
crosses = _BaseAxis.crosses
|
||||
crossesAt = _BaseAxis.crossesAt
|
||||
|
||||
crossBetween = NestedNoneSet(values=(['between', 'midCat']))
|
||||
majorUnit = NestedFloat(allow_none=True)
|
||||
minorUnit = NestedFloat(allow_none=True)
|
||||
dispUnits = Typed(expected_type=DisplayUnitsLabelList, allow_none=True)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = _BaseAxis.__elements__ + ('crossBetween', 'majorUnit',
|
||||
'minorUnit', 'dispUnits',)
|
||||
|
||||
|
||||
def __init__(self,
|
||||
crossBetween=None,
|
||||
majorUnit=None,
|
||||
minorUnit=None,
|
||||
dispUnits=None,
|
||||
extLst=None,
|
||||
**kw
|
||||
):
|
||||
self.crossBetween = crossBetween
|
||||
self.majorUnit = majorUnit
|
||||
self.minorUnit = minorUnit
|
||||
self.dispUnits = dispUnits
|
||||
kw.setdefault('majorGridlines', ChartLines())
|
||||
kw.setdefault('axId', 100)
|
||||
kw.setdefault('crossAx', 10)
|
||||
super().__init__(**kw)
|
||||
|
||||
|
||||
@classmethod
|
||||
def from_tree(cls, node):
|
||||
"""
|
||||
Special case value axes with no gridlines
|
||||
"""
|
||||
self = super().from_tree(node)
|
||||
gridlines = node.find("{%s}majorGridlines" % CHART_NS)
|
||||
if gridlines is None:
|
||||
self.majorGridlines = None
|
||||
return self
|
||||
|
||||
|
||||
|
||||
class TextAxis(_BaseAxis):
|
||||
|
||||
tagname = "catAx"
|
||||
|
||||
axId = _BaseAxis.axId
|
||||
scaling = _BaseAxis.scaling
|
||||
delete = _BaseAxis.delete
|
||||
axPos = _BaseAxis.axPos
|
||||
majorGridlines = _BaseAxis.majorGridlines
|
||||
minorGridlines = _BaseAxis.minorGridlines
|
||||
title = _BaseAxis.title
|
||||
numFmt = _BaseAxis.numFmt
|
||||
majorTickMark = _BaseAxis.majorTickMark
|
||||
minorTickMark = _BaseAxis.minorTickMark
|
||||
tickLblPos = _BaseAxis.tickLblPos
|
||||
spPr = _BaseAxis.spPr
|
||||
txPr = _BaseAxis.txPr
|
||||
crossAx = _BaseAxis.crossAx
|
||||
crosses = _BaseAxis.crosses
|
||||
crossesAt = _BaseAxis.crossesAt
|
||||
|
||||
auto = NestedBool(allow_none=True)
|
||||
lblAlgn = NestedNoneSet(values=(['ctr', 'l', 'r']))
|
||||
lblOffset = NestedMinMax(min=0, max=1000)
|
||||
tickLblSkip = NestedInteger(allow_none=True)
|
||||
tickMarkSkip = NestedInteger(allow_none=True)
|
||||
noMultiLvlLbl = NestedBool(allow_none=True)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = _BaseAxis.__elements__ + ('auto', 'lblAlgn', 'lblOffset',
|
||||
'tickLblSkip', 'tickMarkSkip', 'noMultiLvlLbl')
|
||||
|
||||
def __init__(self,
|
||||
auto=None,
|
||||
lblAlgn=None,
|
||||
lblOffset=100,
|
||||
tickLblSkip=None,
|
||||
tickMarkSkip=None,
|
||||
noMultiLvlLbl=None,
|
||||
extLst=None,
|
||||
**kw
|
||||
):
|
||||
self.auto = auto
|
||||
self.lblAlgn = lblAlgn
|
||||
self.lblOffset = lblOffset
|
||||
self.tickLblSkip = tickLblSkip
|
||||
self.tickMarkSkip = tickMarkSkip
|
||||
self.noMultiLvlLbl = noMultiLvlLbl
|
||||
kw.setdefault('axId', 10)
|
||||
kw.setdefault('crossAx', 100)
|
||||
super().__init__(**kw)
|
||||
|
||||
|
||||
class DateAxis(TextAxis):
|
||||
|
||||
tagname = "dateAx"
|
||||
|
||||
axId = _BaseAxis.axId
|
||||
scaling = _BaseAxis.scaling
|
||||
delete = _BaseAxis.delete
|
||||
axPos = _BaseAxis.axPos
|
||||
majorGridlines = _BaseAxis.majorGridlines
|
||||
minorGridlines = _BaseAxis.minorGridlines
|
||||
title = _BaseAxis.title
|
||||
numFmt = _BaseAxis.numFmt
|
||||
majorTickMark = _BaseAxis.majorTickMark
|
||||
minorTickMark = _BaseAxis.minorTickMark
|
||||
tickLblPos = _BaseAxis.tickLblPos
|
||||
spPr = _BaseAxis.spPr
|
||||
txPr = _BaseAxis.txPr
|
||||
crossAx = _BaseAxis.crossAx
|
||||
crosses = _BaseAxis.crosses
|
||||
crossesAt = _BaseAxis.crossesAt
|
||||
|
||||
auto = NestedBool(allow_none=True)
|
||||
lblOffset = NestedInteger(allow_none=True)
|
||||
baseTimeUnit = NestedNoneSet(values=(['days', 'months', 'years']))
|
||||
majorUnit = NestedFloat(allow_none=True)
|
||||
majorTimeUnit = NestedNoneSet(values=(['days', 'months', 'years']))
|
||||
minorUnit = NestedFloat(allow_none=True)
|
||||
minorTimeUnit = NestedNoneSet(values=(['days', 'months', 'years']))
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = _BaseAxis.__elements__ + ('auto', 'lblOffset',
|
||||
'baseTimeUnit', 'majorUnit', 'majorTimeUnit', 'minorUnit',
|
||||
'minorTimeUnit')
|
||||
|
||||
def __init__(self,
|
||||
auto=None,
|
||||
lblOffset=None,
|
||||
baseTimeUnit=None,
|
||||
majorUnit=None,
|
||||
majorTimeUnit=None,
|
||||
minorUnit=None,
|
||||
minorTimeUnit=None,
|
||||
extLst=None,
|
||||
**kw
|
||||
):
|
||||
self.auto = auto
|
||||
self.lblOffset = lblOffset
|
||||
self.baseTimeUnit = baseTimeUnit
|
||||
self.majorUnit = majorUnit
|
||||
self.majorTimeUnit = majorTimeUnit
|
||||
self.minorUnit = minorUnit
|
||||
self.minorTimeUnit = minorTimeUnit
|
||||
kw.setdefault('axId', 500)
|
||||
kw.setdefault('lblOffset', lblOffset)
|
||||
super().__init__(**kw)
|
||||
|
||||
|
||||
class SeriesAxis(_BaseAxis):
|
||||
|
||||
tagname = "serAx"
|
||||
|
||||
axId = _BaseAxis.axId
|
||||
scaling = _BaseAxis.scaling
|
||||
delete = _BaseAxis.delete
|
||||
axPos = _BaseAxis.axPos
|
||||
majorGridlines = _BaseAxis.majorGridlines
|
||||
minorGridlines = _BaseAxis.minorGridlines
|
||||
title = _BaseAxis.title
|
||||
numFmt = _BaseAxis.numFmt
|
||||
majorTickMark = _BaseAxis.majorTickMark
|
||||
minorTickMark = _BaseAxis.minorTickMark
|
||||
tickLblPos = _BaseAxis.tickLblPos
|
||||
spPr = _BaseAxis.spPr
|
||||
txPr = _BaseAxis.txPr
|
||||
crossAx = _BaseAxis.crossAx
|
||||
crosses = _BaseAxis.crosses
|
||||
crossesAt = _BaseAxis.crossesAt
|
||||
|
||||
tickLblSkip = NestedInteger(allow_none=True)
|
||||
tickMarkSkip = NestedInteger(allow_none=True)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = _BaseAxis.__elements__ + ('tickLblSkip', 'tickMarkSkip')
|
||||
|
||||
def __init__(self,
|
||||
tickLblSkip=None,
|
||||
tickMarkSkip=None,
|
||||
extLst=None,
|
||||
**kw
|
||||
):
|
||||
self.tickLblSkip = tickLblSkip
|
||||
self.tickMarkSkip = tickMarkSkip
|
||||
kw.setdefault('axId', 1000)
|
||||
kw.setdefault('crossAx', 10)
|
||||
super().__init__(**kw)
|
||||
144
venv/lib/python3.12/site-packages/openpyxl/chart/bar_chart.py
Normal file
144
venv/lib/python3.12/site-packages/openpyxl/chart/bar_chart.py
Normal file
@@ -0,0 +1,144 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
from openpyxl.descriptors.serialisable import Serialisable
|
||||
from openpyxl.descriptors import (
|
||||
Typed,
|
||||
Bool,
|
||||
Integer,
|
||||
Sequence,
|
||||
Alias,
|
||||
)
|
||||
from openpyxl.descriptors.excel import ExtensionList
|
||||
from openpyxl.descriptors.nested import (
|
||||
NestedNoneSet,
|
||||
NestedSet,
|
||||
NestedBool,
|
||||
NestedInteger,
|
||||
NestedMinMax,
|
||||
)
|
||||
|
||||
from .descriptors import (
|
||||
NestedGapAmount,
|
||||
NestedOverlap,
|
||||
)
|
||||
from ._chart import ChartBase
|
||||
from ._3d import _3DBase
|
||||
from .axis import TextAxis, NumericAxis, SeriesAxis, ChartLines
|
||||
from .shapes import GraphicalProperties
|
||||
from .series import Series
|
||||
from .legend import Legend
|
||||
from .label import DataLabelList
|
||||
|
||||
|
||||
class _BarChartBase(ChartBase):
|
||||
|
||||
barDir = NestedSet(values=(['bar', 'col']))
|
||||
type = Alias("barDir")
|
||||
grouping = NestedSet(values=(['percentStacked', 'clustered', 'standard',
|
||||
'stacked']))
|
||||
varyColors = NestedBool(nested=True, allow_none=True)
|
||||
ser = Sequence(expected_type=Series, allow_none=True)
|
||||
dLbls = Typed(expected_type=DataLabelList, allow_none=True)
|
||||
dataLabels = Alias("dLbls")
|
||||
|
||||
__elements__ = ('barDir', 'grouping', 'varyColors', 'ser', 'dLbls')
|
||||
|
||||
_series_type = "bar"
|
||||
|
||||
def __init__(self,
|
||||
barDir="col",
|
||||
grouping="clustered",
|
||||
varyColors=None,
|
||||
ser=(),
|
||||
dLbls=None,
|
||||
**kw
|
||||
):
|
||||
self.barDir = barDir
|
||||
self.grouping = grouping
|
||||
self.varyColors = varyColors
|
||||
self.ser = ser
|
||||
self.dLbls = dLbls
|
||||
super().__init__(**kw)
|
||||
|
||||
|
||||
class BarChart(_BarChartBase):
|
||||
|
||||
tagname = "barChart"
|
||||
|
||||
barDir = _BarChartBase.barDir
|
||||
grouping = _BarChartBase.grouping
|
||||
varyColors = _BarChartBase.varyColors
|
||||
ser = _BarChartBase.ser
|
||||
dLbls = _BarChartBase.dLbls
|
||||
|
||||
gapWidth = NestedGapAmount()
|
||||
overlap = NestedOverlap()
|
||||
serLines = Typed(expected_type=ChartLines, allow_none=True)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
# chart properties actually used by containing classes
|
||||
x_axis = Typed(expected_type=TextAxis)
|
||||
y_axis = Typed(expected_type=NumericAxis)
|
||||
|
||||
__elements__ = _BarChartBase.__elements__ + ('gapWidth', 'overlap', 'serLines', 'axId')
|
||||
|
||||
def __init__(self,
|
||||
gapWidth=150,
|
||||
overlap=None,
|
||||
serLines=None,
|
||||
extLst=None,
|
||||
**kw
|
||||
):
|
||||
self.gapWidth = gapWidth
|
||||
self.overlap = overlap
|
||||
self.serLines = serLines
|
||||
self.x_axis = TextAxis()
|
||||
self.y_axis = NumericAxis()
|
||||
self.legend = Legend()
|
||||
super().__init__(**kw)
|
||||
|
||||
|
||||
class BarChart3D(_BarChartBase, _3DBase):
|
||||
|
||||
tagname = "bar3DChart"
|
||||
|
||||
barDir = _BarChartBase.barDir
|
||||
grouping = _BarChartBase.grouping
|
||||
varyColors = _BarChartBase.varyColors
|
||||
ser = _BarChartBase.ser
|
||||
dLbls = _BarChartBase.dLbls
|
||||
|
||||
view3D = _3DBase.view3D
|
||||
floor = _3DBase.floor
|
||||
sideWall = _3DBase.sideWall
|
||||
backWall = _3DBase.backWall
|
||||
|
||||
gapWidth = NestedGapAmount()
|
||||
gapDepth = NestedGapAmount()
|
||||
shape = NestedNoneSet(values=(['cone', 'coneToMax', 'box', 'cylinder', 'pyramid', 'pyramidToMax']))
|
||||
serLines = Typed(expected_type=ChartLines, allow_none=True)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
x_axis = Typed(expected_type=TextAxis)
|
||||
y_axis = Typed(expected_type=NumericAxis)
|
||||
z_axis = Typed(expected_type=SeriesAxis, allow_none=True)
|
||||
|
||||
__elements__ = _BarChartBase.__elements__ + ('gapWidth', 'gapDepth', 'shape', 'serLines', 'axId')
|
||||
|
||||
def __init__(self,
|
||||
gapWidth=150,
|
||||
gapDepth=150,
|
||||
shape=None,
|
||||
serLines=None,
|
||||
extLst=None,
|
||||
**kw
|
||||
):
|
||||
self.gapWidth = gapWidth
|
||||
self.gapDepth = gapDepth
|
||||
self.shape = shape
|
||||
self.serLines = serLines
|
||||
self.x_axis = TextAxis()
|
||||
self.y_axis = NumericAxis()
|
||||
self.z_axis = SeriesAxis()
|
||||
|
||||
super(BarChart3D, self).__init__(**kw)
|
||||
@@ -0,0 +1,67 @@
|
||||
#Autogenerated schema
|
||||
from openpyxl.descriptors.serialisable import Serialisable
|
||||
from openpyxl.descriptors import (
|
||||
Typed,
|
||||
Set,
|
||||
MinMax,
|
||||
Bool,
|
||||
Integer,
|
||||
Alias,
|
||||
Sequence,
|
||||
)
|
||||
from openpyxl.descriptors.excel import ExtensionList
|
||||
from openpyxl.descriptors.nested import (
|
||||
NestedNoneSet,
|
||||
NestedMinMax,
|
||||
NestedBool,
|
||||
)
|
||||
|
||||
from ._chart import ChartBase
|
||||
from .axis import TextAxis, NumericAxis
|
||||
from .series import XYSeries
|
||||
from .label import DataLabelList
|
||||
|
||||
|
||||
class BubbleChart(ChartBase):
|
||||
|
||||
tagname = "bubbleChart"
|
||||
|
||||
varyColors = NestedBool(allow_none=True)
|
||||
ser = Sequence(expected_type=XYSeries, allow_none=True)
|
||||
dLbls = Typed(expected_type=DataLabelList, allow_none=True)
|
||||
dataLabels = Alias("dLbls")
|
||||
bubble3D = NestedBool(allow_none=True)
|
||||
bubbleScale = NestedMinMax(min=0, max=300, allow_none=True)
|
||||
showNegBubbles = NestedBool(allow_none=True)
|
||||
sizeRepresents = NestedNoneSet(values=(['area', 'w']))
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
x_axis = Typed(expected_type=NumericAxis)
|
||||
y_axis = Typed(expected_type=NumericAxis)
|
||||
|
||||
_series_type = "bubble"
|
||||
|
||||
__elements__ = ('varyColors', 'ser', 'dLbls', 'bubble3D', 'bubbleScale',
|
||||
'showNegBubbles', 'sizeRepresents', 'axId')
|
||||
|
||||
def __init__(self,
|
||||
varyColors=None,
|
||||
ser=(),
|
||||
dLbls=None,
|
||||
bubble3D=None,
|
||||
bubbleScale=None,
|
||||
showNegBubbles=None,
|
||||
sizeRepresents=None,
|
||||
extLst=None,
|
||||
**kw
|
||||
):
|
||||
self.varyColors = varyColors
|
||||
self.ser = ser
|
||||
self.dLbls = dLbls
|
||||
self.bubble3D = bubble3D
|
||||
self.bubbleScale = bubbleScale
|
||||
self.showNegBubbles = showNegBubbles
|
||||
self.sizeRepresents = sizeRepresents
|
||||
self.x_axis = NumericAxis(axId=10, crossAx=20)
|
||||
self.y_axis = NumericAxis(axId=20, crossAx=10)
|
||||
super().__init__(**kw)
|
||||
195
venv/lib/python3.12/site-packages/openpyxl/chart/chartspace.py
Normal file
195
venv/lib/python3.12/site-packages/openpyxl/chart/chartspace.py
Normal file
@@ -0,0 +1,195 @@
|
||||
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
"""
|
||||
Enclosing chart object. The various chart types are actually child objects.
|
||||
Will probably need to call this indirectly
|
||||
"""
|
||||
|
||||
from openpyxl.descriptors.serialisable import Serialisable
|
||||
from openpyxl.descriptors import (
|
||||
Typed,
|
||||
String,
|
||||
Alias,
|
||||
)
|
||||
from openpyxl.descriptors.excel import (
|
||||
ExtensionList,
|
||||
Relation
|
||||
)
|
||||
from openpyxl.descriptors.nested import (
|
||||
NestedBool,
|
||||
NestedNoneSet,
|
||||
NestedString,
|
||||
NestedMinMax,
|
||||
)
|
||||
from openpyxl.descriptors.sequence import NestedSequence
|
||||
from openpyxl.xml.constants import CHART_NS
|
||||
|
||||
from openpyxl.drawing.colors import ColorMapping
|
||||
from .text import RichText
|
||||
from .shapes import GraphicalProperties
|
||||
from .legend import Legend
|
||||
from ._3d import _3DBase
|
||||
from .plotarea import PlotArea
|
||||
from .title import Title
|
||||
from .pivot import (
|
||||
PivotFormat,
|
||||
PivotSource,
|
||||
)
|
||||
from .print_settings import PrintSettings
|
||||
|
||||
|
||||
class ChartContainer(Serialisable):
|
||||
|
||||
tagname = "chart"
|
||||
|
||||
title = Typed(expected_type=Title, allow_none=True)
|
||||
autoTitleDeleted = NestedBool(allow_none=True)
|
||||
pivotFmts = NestedSequence(expected_type=PivotFormat)
|
||||
view3D = _3DBase.view3D
|
||||
floor = _3DBase.floor
|
||||
sideWall = _3DBase.sideWall
|
||||
backWall = _3DBase.backWall
|
||||
plotArea = Typed(expected_type=PlotArea, )
|
||||
legend = Typed(expected_type=Legend, allow_none=True)
|
||||
plotVisOnly = NestedBool()
|
||||
dispBlanksAs = NestedNoneSet(values=(['span', 'gap', 'zero']))
|
||||
showDLblsOverMax = NestedBool(allow_none=True)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = ('title', 'autoTitleDeleted', 'pivotFmts', 'view3D',
|
||||
'floor', 'sideWall', 'backWall', 'plotArea', 'legend', 'plotVisOnly',
|
||||
'dispBlanksAs', 'showDLblsOverMax')
|
||||
|
||||
def __init__(self,
|
||||
title=None,
|
||||
autoTitleDeleted=None,
|
||||
pivotFmts=(),
|
||||
view3D=None,
|
||||
floor=None,
|
||||
sideWall=None,
|
||||
backWall=None,
|
||||
plotArea=None,
|
||||
legend=None,
|
||||
plotVisOnly=True,
|
||||
dispBlanksAs="gap",
|
||||
showDLblsOverMax=None,
|
||||
extLst=None,
|
||||
):
|
||||
self.title = title
|
||||
self.autoTitleDeleted = autoTitleDeleted
|
||||
self.pivotFmts = pivotFmts
|
||||
self.view3D = view3D
|
||||
self.floor = floor
|
||||
self.sideWall = sideWall
|
||||
self.backWall = backWall
|
||||
if plotArea is None:
|
||||
plotArea = PlotArea()
|
||||
self.plotArea = plotArea
|
||||
self.legend = legend
|
||||
self.plotVisOnly = plotVisOnly
|
||||
self.dispBlanksAs = dispBlanksAs
|
||||
self.showDLblsOverMax = showDLblsOverMax
|
||||
|
||||
|
||||
class Protection(Serialisable):
|
||||
|
||||
tagname = "protection"
|
||||
|
||||
chartObject = NestedBool(allow_none=True)
|
||||
data = NestedBool(allow_none=True)
|
||||
formatting = NestedBool(allow_none=True)
|
||||
selection = NestedBool(allow_none=True)
|
||||
userInterface = NestedBool(allow_none=True)
|
||||
|
||||
__elements__ = ("chartObject", "data", "formatting", "selection", "userInterface")
|
||||
|
||||
def __init__(self,
|
||||
chartObject=None,
|
||||
data=None,
|
||||
formatting=None,
|
||||
selection=None,
|
||||
userInterface=None,
|
||||
):
|
||||
self.chartObject = chartObject
|
||||
self.data = data
|
||||
self.formatting = formatting
|
||||
self.selection = selection
|
||||
self.userInterface = userInterface
|
||||
|
||||
|
||||
class ExternalData(Serialisable):
|
||||
|
||||
tagname = "externalData"
|
||||
|
||||
autoUpdate = NestedBool(allow_none=True)
|
||||
id = String() # Needs namespace
|
||||
|
||||
def __init__(self,
|
||||
autoUpdate=None,
|
||||
id=None
|
||||
):
|
||||
self.autoUpdate = autoUpdate
|
||||
self.id = id
|
||||
|
||||
|
||||
class ChartSpace(Serialisable):
|
||||
|
||||
tagname = "chartSpace"
|
||||
|
||||
date1904 = NestedBool(allow_none=True)
|
||||
lang = NestedString(allow_none=True)
|
||||
roundedCorners = NestedBool(allow_none=True)
|
||||
style = NestedMinMax(allow_none=True, min=1, max=48)
|
||||
clrMapOvr = Typed(expected_type=ColorMapping, allow_none=True)
|
||||
pivotSource = Typed(expected_type=PivotSource, allow_none=True)
|
||||
protection = Typed(expected_type=Protection, allow_none=True)
|
||||
chart = Typed(expected_type=ChartContainer)
|
||||
spPr = Typed(expected_type=GraphicalProperties, allow_none=True)
|
||||
graphical_properties = Alias("spPr")
|
||||
txPr = Typed(expected_type=RichText, allow_none=True)
|
||||
textProperties = Alias("txPr")
|
||||
externalData = Typed(expected_type=ExternalData, allow_none=True)
|
||||
printSettings = Typed(expected_type=PrintSettings, allow_none=True)
|
||||
userShapes = Relation()
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = ('date1904', 'lang', 'roundedCorners', 'style',
|
||||
'clrMapOvr', 'pivotSource', 'protection', 'chart', 'spPr', 'txPr',
|
||||
'externalData', 'printSettings', 'userShapes')
|
||||
|
||||
def __init__(self,
|
||||
date1904=None,
|
||||
lang=None,
|
||||
roundedCorners=None,
|
||||
style=None,
|
||||
clrMapOvr=None,
|
||||
pivotSource=None,
|
||||
protection=None,
|
||||
chart=None,
|
||||
spPr=None,
|
||||
txPr=None,
|
||||
externalData=None,
|
||||
printSettings=None,
|
||||
userShapes=None,
|
||||
extLst=None,
|
||||
):
|
||||
self.date1904 = date1904
|
||||
self.lang = lang
|
||||
self.roundedCorners = roundedCorners
|
||||
self.style = style
|
||||
self.clrMapOvr = clrMapOvr
|
||||
self.pivotSource = pivotSource
|
||||
self.protection = protection
|
||||
self.chart = chart
|
||||
self.spPr = spPr
|
||||
self.txPr = txPr
|
||||
self.externalData = externalData
|
||||
self.printSettings = printSettings
|
||||
self.userShapes = userShapes
|
||||
|
||||
|
||||
def to_tree(self, tagname=None, idx=None, namespace=None):
|
||||
tree = super().to_tree()
|
||||
tree.set("xmlns", CHART_NS)
|
||||
return tree
|
||||
246
venv/lib/python3.12/site-packages/openpyxl/chart/data_source.py
Normal file
246
venv/lib/python3.12/site-packages/openpyxl/chart/data_source.py
Normal file
@@ -0,0 +1,246 @@
|
||||
"""
|
||||
Collection of utility primitives for charts.
|
||||
"""
|
||||
|
||||
from openpyxl.descriptors.serialisable import Serialisable
|
||||
from openpyxl.descriptors import (
|
||||
Bool,
|
||||
Typed,
|
||||
Alias,
|
||||
String,
|
||||
Integer,
|
||||
Sequence,
|
||||
)
|
||||
from openpyxl.descriptors.excel import ExtensionList
|
||||
from openpyxl.descriptors.nested import (
|
||||
NestedString,
|
||||
NestedText,
|
||||
NestedInteger,
|
||||
)
|
||||
|
||||
|
||||
class NumFmt(Serialisable):
|
||||
|
||||
formatCode = String()
|
||||
sourceLinked = Bool()
|
||||
|
||||
def __init__(self,
|
||||
formatCode=None,
|
||||
sourceLinked=False
|
||||
):
|
||||
self.formatCode = formatCode
|
||||
self.sourceLinked = sourceLinked
|
||||
|
||||
|
||||
class NumberValueDescriptor(NestedText):
|
||||
"""
|
||||
Data should be numerical but isn't always :-/
|
||||
"""
|
||||
|
||||
allow_none = True
|
||||
|
||||
def __set__(self, instance, value):
|
||||
if value == "#N/A":
|
||||
self.expected_type = str
|
||||
else:
|
||||
self.expected_type = float
|
||||
super().__set__(instance, value)
|
||||
|
||||
|
||||
class NumVal(Serialisable):
|
||||
|
||||
idx = Integer()
|
||||
formatCode = NestedText(allow_none=True, expected_type=str)
|
||||
v = NumberValueDescriptor()
|
||||
|
||||
def __init__(self,
|
||||
idx=None,
|
||||
formatCode=None,
|
||||
v=None,
|
||||
):
|
||||
self.idx = idx
|
||||
self.formatCode = formatCode
|
||||
self.v = v
|
||||
|
||||
|
||||
class NumData(Serialisable):
|
||||
|
||||
formatCode = NestedText(expected_type=str, allow_none=True)
|
||||
ptCount = NestedInteger(allow_none=True)
|
||||
pt = Sequence(expected_type=NumVal)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = ('formatCode', 'ptCount', 'pt')
|
||||
|
||||
def __init__(self,
|
||||
formatCode=None,
|
||||
ptCount=None,
|
||||
pt=(),
|
||||
extLst=None,
|
||||
):
|
||||
self.formatCode = formatCode
|
||||
self.ptCount = ptCount
|
||||
self.pt = pt
|
||||
|
||||
|
||||
class NumRef(Serialisable):
|
||||
|
||||
f = NestedText(expected_type=str)
|
||||
ref = Alias('f')
|
||||
numCache = Typed(expected_type=NumData, allow_none=True)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = ('f', 'numCache')
|
||||
|
||||
def __init__(self,
|
||||
f=None,
|
||||
numCache=None,
|
||||
extLst=None,
|
||||
):
|
||||
self.f = f
|
||||
self.numCache = numCache
|
||||
|
||||
|
||||
class StrVal(Serialisable):
|
||||
|
||||
tagname = "strVal"
|
||||
|
||||
idx = Integer()
|
||||
v = NestedText(expected_type=str)
|
||||
|
||||
def __init__(self,
|
||||
idx=0,
|
||||
v=None,
|
||||
):
|
||||
self.idx = idx
|
||||
self.v = v
|
||||
|
||||
|
||||
class StrData(Serialisable):
|
||||
|
||||
tagname = "strData"
|
||||
|
||||
ptCount = NestedInteger(allow_none=True)
|
||||
pt = Sequence(expected_type=StrVal)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = ('ptCount', 'pt')
|
||||
|
||||
def __init__(self,
|
||||
ptCount=None,
|
||||
pt=(),
|
||||
extLst=None,
|
||||
):
|
||||
self.ptCount = ptCount
|
||||
self.pt = pt
|
||||
|
||||
|
||||
class StrRef(Serialisable):
|
||||
|
||||
tagname = "strRef"
|
||||
|
||||
f = NestedText(expected_type=str, allow_none=True)
|
||||
strCache = Typed(expected_type=StrData, allow_none=True)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = ('f', 'strCache')
|
||||
|
||||
def __init__(self,
|
||||
f=None,
|
||||
strCache=None,
|
||||
extLst=None,
|
||||
):
|
||||
self.f = f
|
||||
self.strCache = strCache
|
||||
|
||||
|
||||
class NumDataSource(Serialisable):
|
||||
|
||||
numRef = Typed(expected_type=NumRef, allow_none=True)
|
||||
numLit = Typed(expected_type=NumData, allow_none=True)
|
||||
|
||||
|
||||
def __init__(self,
|
||||
numRef=None,
|
||||
numLit=None,
|
||||
):
|
||||
self.numRef = numRef
|
||||
self.numLit = numLit
|
||||
|
||||
|
||||
class Level(Serialisable):
|
||||
|
||||
tagname = "lvl"
|
||||
|
||||
pt = Sequence(expected_type=StrVal)
|
||||
|
||||
__elements__ = ('pt',)
|
||||
|
||||
def __init__(self,
|
||||
pt=(),
|
||||
):
|
||||
self.pt = pt
|
||||
|
||||
|
||||
class MultiLevelStrData(Serialisable):
|
||||
|
||||
tagname = "multiLvlStrData"
|
||||
|
||||
ptCount = Integer(allow_none=True)
|
||||
lvl = Sequence(expected_type=Level)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = ('ptCount', 'lvl',)
|
||||
|
||||
def __init__(self,
|
||||
ptCount=None,
|
||||
lvl=(),
|
||||
extLst=None,
|
||||
):
|
||||
self.ptCount = ptCount
|
||||
self.lvl = lvl
|
||||
|
||||
|
||||
class MultiLevelStrRef(Serialisable):
|
||||
|
||||
tagname = "multiLvlStrRef"
|
||||
|
||||
f = NestedText(expected_type=str)
|
||||
multiLvlStrCache = Typed(expected_type=MultiLevelStrData, allow_none=True)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = ('multiLvlStrCache', 'f')
|
||||
|
||||
def __init__(self,
|
||||
f=None,
|
||||
multiLvlStrCache=None,
|
||||
extLst=None,
|
||||
):
|
||||
self.f = f
|
||||
self.multiLvlStrCache = multiLvlStrCache
|
||||
|
||||
|
||||
class AxDataSource(Serialisable):
|
||||
|
||||
tagname = "cat"
|
||||
|
||||
numRef = Typed(expected_type=NumRef, allow_none=True)
|
||||
numLit = Typed(expected_type=NumData, allow_none=True)
|
||||
strRef = Typed(expected_type=StrRef, allow_none=True)
|
||||
strLit = Typed(expected_type=StrData, allow_none=True)
|
||||
multiLvlStrRef = Typed(expected_type=MultiLevelStrRef, allow_none=True)
|
||||
|
||||
def __init__(self,
|
||||
numRef=None,
|
||||
numLit=None,
|
||||
strRef=None,
|
||||
strLit=None,
|
||||
multiLvlStrRef=None,
|
||||
):
|
||||
if not any([numLit, numRef, strRef, strLit, multiLvlStrRef]):
|
||||
raise TypeError("A data source must be provided")
|
||||
self.numRef = numRef
|
||||
self.numLit = numLit
|
||||
self.strRef = strRef
|
||||
self.strLit = strLit
|
||||
self.multiLvlStrRef = multiLvlStrRef
|
||||
@@ -0,0 +1,43 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
|
||||
|
||||
from openpyxl.descriptors.nested import (
|
||||
NestedMinMax
|
||||
)
|
||||
|
||||
from openpyxl.descriptors import Typed
|
||||
|
||||
from .data_source import NumFmt
|
||||
|
||||
"""
|
||||
Utility descriptors for the chart module.
|
||||
For convenience but also clarity.
|
||||
"""
|
||||
|
||||
class NestedGapAmount(NestedMinMax):
|
||||
|
||||
allow_none = True
|
||||
min = 0
|
||||
max = 500
|
||||
|
||||
|
||||
class NestedOverlap(NestedMinMax):
|
||||
|
||||
allow_none = True
|
||||
min = -100
|
||||
max = 100
|
||||
|
||||
|
||||
class NumberFormatDescriptor(Typed):
|
||||
"""
|
||||
Allow direct assignment of format code
|
||||
"""
|
||||
|
||||
expected_type = NumFmt
|
||||
allow_none = True
|
||||
|
||||
def __set__(self, instance, value):
|
||||
if isinstance(value, str):
|
||||
value = NumFmt(value)
|
||||
super().__set__(instance, value)
|
||||
@@ -0,0 +1,62 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
from openpyxl.descriptors.serialisable import Serialisable
|
||||
from openpyxl.descriptors import (
|
||||
Typed,
|
||||
Float,
|
||||
Set,
|
||||
Alias
|
||||
)
|
||||
|
||||
from openpyxl.descriptors.excel import ExtensionList
|
||||
from openpyxl.descriptors.nested import (
|
||||
NestedNoneSet,
|
||||
NestedSet,
|
||||
NestedBool,
|
||||
NestedFloat,
|
||||
)
|
||||
|
||||
from .data_source import NumDataSource
|
||||
from .shapes import GraphicalProperties
|
||||
|
||||
|
||||
class ErrorBars(Serialisable):
|
||||
|
||||
tagname = "errBars"
|
||||
|
||||
errDir = NestedNoneSet(values=(['x', 'y']))
|
||||
direction = Alias("errDir")
|
||||
errBarType = NestedSet(values=(['both', 'minus', 'plus']))
|
||||
style = Alias("errBarType")
|
||||
errValType = NestedSet(values=(['cust', 'fixedVal', 'percentage', 'stdDev', 'stdErr']))
|
||||
size = Alias("errValType")
|
||||
noEndCap = NestedBool(nested=True, allow_none=True)
|
||||
plus = Typed(expected_type=NumDataSource, allow_none=True)
|
||||
minus = Typed(expected_type=NumDataSource, allow_none=True)
|
||||
val = NestedFloat(allow_none=True)
|
||||
spPr = Typed(expected_type=GraphicalProperties, allow_none=True)
|
||||
graphicalProperties = Alias("spPr")
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = ('errDir','errBarType', 'errValType', 'noEndCap','minus', 'plus', 'val', 'spPr')
|
||||
|
||||
|
||||
def __init__(self,
|
||||
errDir=None,
|
||||
errBarType="both",
|
||||
errValType="fixedVal",
|
||||
noEndCap=None,
|
||||
plus=None,
|
||||
minus=None,
|
||||
val=None,
|
||||
spPr=None,
|
||||
extLst=None,
|
||||
):
|
||||
self.errDir = errDir
|
||||
self.errBarType = errBarType
|
||||
self.errValType = errValType
|
||||
self.noEndCap = noEndCap
|
||||
self.plus = plus
|
||||
self.minus = minus
|
||||
self.val = val
|
||||
self.spPr = spPr
|
||||
127
venv/lib/python3.12/site-packages/openpyxl/chart/label.py
Normal file
127
venv/lib/python3.12/site-packages/openpyxl/chart/label.py
Normal file
@@ -0,0 +1,127 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
from openpyxl.descriptors.serialisable import Serialisable
|
||||
from openpyxl.descriptors import (
|
||||
Sequence,
|
||||
Alias,
|
||||
Typed
|
||||
)
|
||||
from openpyxl.descriptors.excel import ExtensionList
|
||||
from openpyxl.descriptors.nested import (
|
||||
NestedNoneSet,
|
||||
NestedBool,
|
||||
NestedString,
|
||||
NestedInteger,
|
||||
)
|
||||
|
||||
from .shapes import GraphicalProperties
|
||||
from .text import RichText
|
||||
|
||||
|
||||
class _DataLabelBase(Serialisable):
|
||||
|
||||
numFmt = NestedString(allow_none=True, attribute="formatCode")
|
||||
spPr = Typed(expected_type=GraphicalProperties, allow_none=True)
|
||||
graphicalProperties = Alias('spPr')
|
||||
txPr = Typed(expected_type=RichText, allow_none=True)
|
||||
textProperties = Alias('txPr')
|
||||
dLblPos = NestedNoneSet(values=['bestFit', 'b', 'ctr', 'inBase', 'inEnd',
|
||||
'l', 'outEnd', 'r', 't'])
|
||||
position = Alias('dLblPos')
|
||||
showLegendKey = NestedBool(allow_none=True)
|
||||
showVal = NestedBool(allow_none=True)
|
||||
showCatName = NestedBool(allow_none=True)
|
||||
showSerName = NestedBool(allow_none=True)
|
||||
showPercent = NestedBool(allow_none=True)
|
||||
showBubbleSize = NestedBool(allow_none=True)
|
||||
showLeaderLines = NestedBool(allow_none=True)
|
||||
separator = NestedString(allow_none=True)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = ("numFmt", "spPr", "txPr", "dLblPos", "showLegendKey",
|
||||
"showVal", "showCatName", "showSerName", "showPercent", "showBubbleSize",
|
||||
"showLeaderLines", "separator")
|
||||
|
||||
def __init__(self,
|
||||
numFmt=None,
|
||||
spPr=None,
|
||||
txPr=None,
|
||||
dLblPos=None,
|
||||
showLegendKey=None,
|
||||
showVal=None,
|
||||
showCatName=None,
|
||||
showSerName=None,
|
||||
showPercent=None,
|
||||
showBubbleSize=None,
|
||||
showLeaderLines=None,
|
||||
separator=None,
|
||||
extLst=None,
|
||||
):
|
||||
self.numFmt = numFmt
|
||||
self.spPr = spPr
|
||||
self.txPr = txPr
|
||||
self.dLblPos = dLblPos
|
||||
self.showLegendKey = showLegendKey
|
||||
self.showVal = showVal
|
||||
self.showCatName = showCatName
|
||||
self.showSerName = showSerName
|
||||
self.showPercent = showPercent
|
||||
self.showBubbleSize = showBubbleSize
|
||||
self.showLeaderLines = showLeaderLines
|
||||
self.separator = separator
|
||||
|
||||
|
||||
class DataLabel(_DataLabelBase):
|
||||
|
||||
tagname = "dLbl"
|
||||
|
||||
idx = NestedInteger()
|
||||
|
||||
numFmt = _DataLabelBase.numFmt
|
||||
spPr = _DataLabelBase.spPr
|
||||
txPr = _DataLabelBase.txPr
|
||||
dLblPos = _DataLabelBase.dLblPos
|
||||
showLegendKey = _DataLabelBase.showLegendKey
|
||||
showVal = _DataLabelBase.showVal
|
||||
showCatName = _DataLabelBase.showCatName
|
||||
showSerName = _DataLabelBase.showSerName
|
||||
showPercent = _DataLabelBase.showPercent
|
||||
showBubbleSize = _DataLabelBase.showBubbleSize
|
||||
showLeaderLines = _DataLabelBase.showLeaderLines
|
||||
separator = _DataLabelBase.separator
|
||||
extLst = _DataLabelBase.extLst
|
||||
|
||||
__elements__ = ("idx",) + _DataLabelBase.__elements__
|
||||
|
||||
def __init__(self, idx=0, **kw ):
|
||||
self.idx = idx
|
||||
super().__init__(**kw)
|
||||
|
||||
|
||||
class DataLabelList(_DataLabelBase):
|
||||
|
||||
tagname = "dLbls"
|
||||
|
||||
dLbl = Sequence(expected_type=DataLabel, allow_none=True)
|
||||
|
||||
delete = NestedBool(allow_none=True)
|
||||
numFmt = _DataLabelBase.numFmt
|
||||
spPr = _DataLabelBase.spPr
|
||||
txPr = _DataLabelBase.txPr
|
||||
dLblPos = _DataLabelBase.dLblPos
|
||||
showLegendKey = _DataLabelBase.showLegendKey
|
||||
showVal = _DataLabelBase.showVal
|
||||
showCatName = _DataLabelBase.showCatName
|
||||
showSerName = _DataLabelBase.showSerName
|
||||
showPercent = _DataLabelBase.showPercent
|
||||
showBubbleSize = _DataLabelBase.showBubbleSize
|
||||
showLeaderLines = _DataLabelBase.showLeaderLines
|
||||
separator = _DataLabelBase.separator
|
||||
extLst = _DataLabelBase.extLst
|
||||
|
||||
__elements__ = ("delete", "dLbl",) + _DataLabelBase.__elements__
|
||||
|
||||
def __init__(self, dLbl=(), delete=None, **kw):
|
||||
self.dLbl = dLbl
|
||||
self.delete = delete
|
||||
super().__init__(**kw)
|
||||
74
venv/lib/python3.12/site-packages/openpyxl/chart/layout.py
Normal file
74
venv/lib/python3.12/site-packages/openpyxl/chart/layout.py
Normal file
@@ -0,0 +1,74 @@
|
||||
# Copyright (c) 2010-2024 openpyxl
|
||||
|
||||
from openpyxl.descriptors.serialisable import Serialisable
|
||||
from openpyxl.descriptors import (
|
||||
NoneSet,
|
||||
Float,
|
||||
Typed,
|
||||
Alias,
|
||||
)
|
||||
|
||||
from openpyxl.descriptors.excel import ExtensionList
|
||||
from openpyxl.descriptors.nested import (
|
||||
NestedNoneSet,
|
||||
NestedSet,
|
||||
NestedMinMax,
|
||||
)
|
||||
|
||||
class ManualLayout(Serialisable):
|
||||
|
||||
tagname = "manualLayout"
|
||||
|
||||
layoutTarget = NestedNoneSet(values=(['inner', 'outer']))
|
||||
xMode = NestedNoneSet(values=(['edge', 'factor']))
|
||||
yMode = NestedNoneSet(values=(['edge', 'factor']))
|
||||
wMode = NestedSet(values=(['edge', 'factor']))
|
||||
hMode = NestedSet(values=(['edge', 'factor']))
|
||||
x = NestedMinMax(min=-1, max=1, allow_none=True)
|
||||
y = NestedMinMax(min=-1, max=1, allow_none=True)
|
||||
w = NestedMinMax(min=0, max=1, allow_none=True)
|
||||
width = Alias('w')
|
||||
h = NestedMinMax(min=0, max=1, allow_none=True)
|
||||
height = Alias('h')
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = ('layoutTarget', 'xMode', 'yMode', 'wMode', 'hMode', 'x',
|
||||
'y', 'w', 'h')
|
||||
|
||||
def __init__(self,
|
||||
layoutTarget=None,
|
||||
xMode=None,
|
||||
yMode=None,
|
||||
wMode="factor",
|
||||
hMode="factor",
|
||||
x=None,
|
||||
y=None,
|
||||
w=None,
|
||||
h=None,
|
||||
extLst=None,
|
||||
):
|
||||
self.layoutTarget = layoutTarget
|
||||
self.xMode = xMode
|
||||
self.yMode = yMode
|
||||
self.wMode = wMode
|
||||
self.hMode = hMode
|
||||
self.x = x
|
||||
self.y = y
|
||||
self.w = w
|
||||
self.h = h
|
||||
|
||||
|
||||
class Layout(Serialisable):
|
||||
|
||||
tagname = "layout"
|
||||
|
||||
manualLayout = Typed(expected_type=ManualLayout, allow_none=True)
|
||||
extLst = Typed(expected_type=ExtensionList, allow_none=True)
|
||||
|
||||
__elements__ = ('manualLayout',)
|
||||
|
||||
def __init__(self,
|
||||
manualLayout=None,
|
||||
extLst=None,
|
||||
):
|
||||
self.manualLayout = manualLayout
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user