Add voice command auto-fill and server-side logging

- Add URL parameter reading to diaper tracking page for voice-extracted data
- Add comprehensive server-side logging in voice controller and service
- Log request type (Web Speech API vs MediaRecorder), input text/audio, GPT calls, and classification results
- Enable automatic form pre-filling when voice commands navigate to tracking pages

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

maternal-app/maternal-app-backend/src/modules/voice/voice.controller.ts

@@ -6,12 +6,15 @@ import {
   Body,
   Req,
   BadRequestException,
+  Logger,
 } from '@nestjs/common';
 import { FileInterceptor } from '@nestjs/platform-express';
 import { VoiceService } from './voice.service';
 
 @Controller('api/v1/voice')
 export class VoiceController {
+  private readonly logger = new Logger('VoiceController');
+
   constructor(private readonly voiceService: VoiceService) {}
 
   @Post('transcribe')
@@ -22,14 +25,24 @@ export class VoiceController {
     @Body('language') language?: string,
     @Body('childName') childName?: string,
   ) {
+    this.logger.log('=== Voice Transcribe Request ===');
+    this.logger.log(`Mode: ${text ? 'Text Classification (Web Speech API)' : 'Audio Transcription (MediaRecorder)'}`);
+    this.logger.log(`Language: ${language || 'en'}`);
+    this.logger.log(`Child Name: ${childName || 'none'}`);
+
     // If text is provided (from Web Speech API), classify it directly
     if (text) {
+      this.logger.log(`Input Text: "${text}"`);
+
       const result = await this.voiceService.extractActivityFromText(
         text,
         language || 'en',
         childName,
       );
 
+      this.logger.log(`Classification Result: ${JSON.stringify(result, null, 2)}`);
+      this.logger.log('=== Request Complete ===\n');
+
       return {
         success: true,
         transcript: text,
@@ -39,14 +52,19 @@ export class VoiceController {
 
     // Otherwise, transcribe the audio file
     if (!file) {
+      this.logger.error('No audio file or text provided');
       throw new BadRequestException('Audio file or text is required');
     }
 
+    this.logger.log(`Audio File: ${file.originalname} (${file.size} bytes, ${file.mimetype})`);
+
     const transcription = await this.voiceService.transcribeAudio(
       file.buffer,
       language,
     );
 
+    this.logger.log(`Transcription: "${transcription.text}" (${transcription.language})`);
+
     // Also classify the transcription
     const classification = await this.voiceService.extractActivityFromText(
       transcription.text,
@@ -54,6 +72,9 @@ export class VoiceController {
       childName,
     );
 
+    this.logger.log(`Classification Result: ${JSON.stringify(classification, null, 2)}`);
+    this.logger.log('=== Request Complete ===\n');
+
     return {
       success: true,
       transcript: transcription.text,

maternal-app/maternal-app-backend/src/modules/voice/voice.service.ts

@@ -141,33 +141,92 @@ export class VoiceService {
       throw new BadRequestException('Chat service not configured');
     }
 
+    this.logger.log(`[Activity Extraction] Starting extraction for: "${text}"`);
+    this.logger.log(`[Activity Extraction] Language: ${language}, Child: ${childName || 'none'}`);
+
     try {
-      const systemPrompt = `You are an assistant that extracts baby care activity information from natural language.
+      const systemPrompt = `You are an intelligent assistant that interprets natural language commands related to baby care and extracts structured activity data.
 
 Extract activity details from the user's text and respond ONLY with valid JSON (no markdown, no explanations).
 
-Activity types:
-- feeding: nursing, bottle, solids (include amount, duration, notes)
-- sleep: start time, end time (or duration), quality
-- diaper: type (wet/dirty/both), notes
-- medicine: name, dosage, time
-- milestone: description, date
+**Supported Activity Types:**
 
-Response format:
+1. **feeding** - Any mention of eating, drinking, nursing, bottle, breastfeeding, formula, solids, meals
+   - Extract: amount (ml/oz), method (bottle/breast/solids), duration (minutes), side (left/right/both for breastfeeding), notes
+
+2. **sleep** - Any mention of sleeping, napping, bedtime, waking up, dozed off
+   - Extract: start_time, end_time, duration (minutes), quality (peaceful/restless/fussy), location (crib/bassinet/arms), notes
+
+3. **diaper** - Any mention of diaper change, wet, dirty, bowel movement, pee, poop
+   - Extract: type (wet/dirty/both), color, consistency, rash (true/false), notes
+
+4. **medicine** - Any mention of medication, vitamin, supplement, drops, dose
+   - Extract: name, dosage, unit, notes
+
+5. **milestone** - Any mention of first time events, developmental progress, achievements
+   - Extract: description, category (motor/social/cognitive/language), notes
+
+**Response Format:**
 {
-  "type": "activity_type",
-  "timestamp": "ISO 8601 datetime if mentioned, null otherwise",
-  "details": {...activity specific fields...},
-  "confidence": 0-1
+  "type": "feeding|sleep|diaper|medicine|milestone|unknown",
+  "timestamp": "ISO 8601 datetime if mentioned (e.g., '3pm', '30 minutes ago'), otherwise use current time",
+  "details": {
+    // For feeding:
+    "amount": number or null,
+    "unit": "ml|oz" or null,
+    "method": "bottle|breast|solids" or null,
+    "side": "left|right|both" or null,
+    "duration": number (minutes) or null,
+    "notes": string or null
+
+    // For sleep:
+    "start_time": "ISO 8601" or null,
+    "end_time": "ISO 8601" or null,
+    "duration": number (minutes) or null,
+    "quality": "peaceful|restless|fussy" or null,
+    "location": string or null,
+    "notes": string or null
+
+    // For diaper:
+    "type": "wet|dirty|both",
+    "color": string or null,
+    "consistency": string or null,
+    "rash": boolean or null,
+    "notes": string or null
+
+    // For medicine:
+    "name": string,
+    "dosage": number or string,
+    "unit": string or null,
+    "notes": string or null
+
+    // For milestone:
+    "description": string,
+    "category": "motor|social|cognitive|language" or null,
+    "notes": string or null
+  },
+  "confidence": 0.0-1.0,
+  "action": "create_activity|unknown"
 }
 
-If the text doesn't describe a trackable activity, respond with:
-{"type": "unknown", "details": {}, "confidence": 0}`;
+**Important:**
+- Be smart about interpreting casual language (e.g., "fed him" = feeding activity)
+- Infer reasonable defaults (e.g., if amount is mentioned without unit and sounds like bottles, assume "ml")
+- Use "unknown" type only if the text is clearly NOT about baby care
+- Set confidence based on how clearly the activity is described
+- Assume current time for timestamp if no time is mentioned
+- Be flexible with language variations and typos
+
+If the text doesn't describe a trackable baby care activity:
+{"type": "unknown", "details": {}, "confidence": 0, "action": "unknown"}`;
 
       const userPrompt = childName
         ? `Child name: ${childName}\nUser said: "${text}"`
         : `User said: "${text}"`;
 
+      this.logger.log(`[Activity Extraction] Calling GPT-4o-mini with user prompt: ${userPrompt}`);
+
+      const startTime = Date.now();
       const completion = await this.chatOpenAI.chat.completions.create({
         model: 'gpt-4o-mini',
         messages: [
@@ -176,11 +235,18 @@ If the text doesn't describe a trackable activity, respond with:
         ],
         response_format: { type: 'json_object' },
       });
+      const duration = Date.now() - startTime;
+
+      this.logger.log(`[Activity Extraction] GPT response received in ${duration}ms`);
+      this.logger.log(`[Activity Extraction] Raw GPT response: ${completion.choices[0].message.content}`);
 
       const result = JSON.parse(completion.choices[0].message.content);
 
       this.logger.log(
-        `Activity extracted: ${result.type} (confidence: ${result.confidence})`,
+        `[Activity Extraction] Extracted activity: ${result.type} (confidence: ${result.confidence})`,
+      );
+      this.logger.log(
+        `[Activity Extraction] Details: ${JSON.stringify(result.details || {})}`,
       );
 
       return {
@@ -191,7 +257,7 @@ If the text doesn't describe a trackable activity, respond with:
       };
     } catch (error) {
       this.logger.error(
-        `Activity extraction failed: ${error.message}`,
+        `[Activity Extraction] Failed: ${error.message}`,
         error.stack,
       );
       throw new BadRequestException('Failed to extract activity from text');