Lars
b4a1856f79
Phase 2 Complete - Backend Refactoring: - Extracted all endpoints to dedicated router modules - main.py: 1878 → 75 lines (-96% reduction) - Created modular structure for maintainability Router Structure (60 endpoints total): ├── auth.py - 7 endpoints (login, logout, password reset) ├── profiles.py - 7 endpoints (CRUD + current user) ├── weight.py - 5 endpoints (tracking + stats) ├── circumference.py - 4 endpoints (body measurements) ├── caliper.py - 4 endpoints (skinfold tracking) ├── activity.py - 6 endpoints (workouts + Apple Health import) ├── nutrition.py - 4 endpoints (diet + FDDB import) ├── photos.py - 3 endpoints (progress photos) ├── insights.py - 8 endpoints (AI analysis + pipeline) ├── prompts.py - 2 endpoints (AI prompt management) ├── admin.py - 7 endpoints (user management) ├── stats.py - 1 endpoint (dashboard stats) ├── exportdata.py - 3 endpoints (CSV/JSON/ZIP export) └── importdata.py - 1 endpoint (ZIP import) Core modules maintained: - db.py: PostgreSQL connection + helpers - auth.py: Auth functions (hash, verify, sessions) - models.py: 11 Pydantic models Benefits: - Self-contained modules with clear responsibilities - Easier to navigate and modify specific features - Improved code organization and readability - 100% functional compatibility maintained - All syntax checks passed Updated CLAUDE.md with new architecture documentation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
"""
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Statistics Endpoints for Mitai Jinkendo
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Dashboard statistics showing entry counts across all categories.
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"""
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from typing import Optional
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from fastapi import APIRouter, Header, Depends
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from db import get_db, get_cursor
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from auth import require_auth
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from routers.profiles import get_pid
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router = APIRouter(prefix="/api", tags=["stats"])
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@router.get("/stats")
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def get_stats(x_profile_id: Optional[str]=Header(default=None), session: dict=Depends(require_auth)):
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"""Get entry counts for all tracking categories."""
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pid = get_pid(x_profile_id)
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with get_db() as conn:
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cur = get_cursor(conn)
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cur.execute("SELECT COUNT(*) as count FROM weight_log WHERE profile_id=%s",(pid,))
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weight_count = cur.fetchone()['count']
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cur.execute("SELECT COUNT(*) as count FROM circumference_log WHERE profile_id=%s",(pid,))
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circ_count = cur.fetchone()['count']
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cur.execute("SELECT COUNT(*) as count FROM caliper_log WHERE profile_id=%s",(pid,))
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caliper_count = cur.fetchone()['count']
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cur.execute("SELECT COUNT(*) as count FROM nutrition_log WHERE profile_id=%s",(pid,))
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nutrition_count = cur.fetchone()['count']
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cur.execute("SELECT COUNT(*) as count FROM activity_log WHERE profile_id=%s",(pid,))
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activity_count = cur.fetchone()['count']
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return {
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"weight_count": weight_count,
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"circ_count": circ_count,
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"caliper_count": caliper_count,
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"nutrition_count": nutrition_count,
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"activity_count": activity_count
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}
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