Lars
61a5bb39ae
- Introduced a single TDEE calculation based on current weight, replacing the fixed 2500 kcal value. - Updated `get_energy_balance_data` to use daily totals for intake calculations and improved energy balance logic. - Enhanced `get_nutrition_average_data` to calculate averages over calendar days instead of raw log entries. - Adjusted placeholder resolution to ensure consistent metadata usage across requests. - Fixed issues in the charts router to reflect the new energy balance logic and TDEE calculations. These changes improve the accuracy of nutritional assessments and streamline data handling in the application.
66 lines
2.0 KiB
Python
66 lines
2.0 KiB
Python
#!/usr/bin/env python3
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"""Test export-all endpoint"""
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import sys
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sys.path.insert(0, '/app')
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from datetime import datetime
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from db import get_db, get_cursor, r2d
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print("Testing export-all logic...")
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with get_db() as conn:
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cur = get_cursor(conn)
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cur.execute("SELECT * FROM ai_prompts ORDER BY sort_order, slug")
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prompts = [r2d(row) for row in cur.fetchall()]
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print(f"Found {len(prompts)} prompts")
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# Convert to export format (clean up DB-specific fields)
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export_data = []
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for idx, p in enumerate(prompts):
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print(f"\nProcessing prompt {idx+1}: {p.get('slug')}")
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try:
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export_item = {
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'slug': p['slug'],
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'name': p['name'],
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'display_name': p.get('display_name'),
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'description': p.get('description'),
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'type': p.get('type', 'pipeline'),
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'category': p.get('category', 'ganzheitlich'),
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'template': p.get('template'),
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'stages': p.get('stages'),
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'output_format': p.get('output_format', 'text'),
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'output_schema': p.get('output_schema'),
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'question_augmentations': p.get('question_augmentations'),
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'graph_data': p.get('graph_data'),
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'active': p.get('active', True),
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'sort_order': p.get('sort_order', 0)
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}
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export_data.append(export_item)
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print(f" ✓ OK")
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except Exception as e:
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print(f" ✗ ERROR: {type(e).__name__}: {e}")
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import traceback
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traceback.print_exc()
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break
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print(f"\n\nSuccessfully processed {len(export_data)} prompts")
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# Try to create the response dict
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try:
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result = {
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'export_date': datetime.now().isoformat(),
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'count': len(export_data),
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'prompts': export_data
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}
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print("✓ Result dict created successfully")
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# Try JSON serialization
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import json
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json_str = json.dumps(result)
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print(f"✓ JSON serialization OK, length: {len(json_str)}")
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except Exception as e:
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print(f"✗ ERROR creating result: {type(e).__name__}: {e}")
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import traceback
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traceback.print_exc()
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