mitai-jinkendo/backend/routers/prompts.py
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refactor: modular backend architecture with 14 router modules
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>
2026-03-19 11:15:35 +01:00

61 lines
1.9 KiB
Python

"""
AI Prompts Management Endpoints for Mitai Jinkendo
Handles prompt template configuration (admin-editable).
"""
from fastapi import APIRouter, Depends
from db import get_db, get_cursor, r2d
from auth import require_auth, require_admin
router = APIRouter(prefix="/api/prompts", tags=["prompts"])
@router.get("")
def list_prompts(session: dict=Depends(require_auth)):
"""
List AI prompts.
- Admins: see ALL prompts (including pipeline and inactive)
- Users: see only active single-analysis prompts
"""
with get_db() as conn:
cur = get_cursor(conn)
is_admin = session.get('role') == 'admin'
if is_admin:
# Admin sees everything
cur.execute("SELECT * FROM ai_prompts ORDER BY sort_order, slug")
else:
# Users see only active, non-pipeline prompts
cur.execute("SELECT * FROM ai_prompts WHERE active=true AND slug NOT LIKE 'pipeline_%' ORDER BY sort_order")
return [r2d(r) for r in cur.fetchall()]
@router.put("/{prompt_id}")
def update_prompt(prompt_id: str, data: dict, session: dict=Depends(require_admin)):
"""Update AI prompt template (admin only)."""
with get_db() as conn:
cur = get_cursor(conn)
updates = []
values = []
if 'name' in data:
updates.append('name=%s')
values.append(data['name'])
if 'description' in data:
updates.append('description=%s')
values.append(data['description'])
if 'template' in data:
updates.append('template=%s')
values.append(data['template'])
if 'active' in data:
updates.append('active=%s')
# Convert to boolean (accepts true/false, 1/0)
values.append(bool(data['active']))
if updates:
cur.execute(f"UPDATE ai_prompts SET {', '.join(updates)}, updated=CURRENT_TIMESTAMP WHERE id=%s",
values + [prompt_id])
return {"ok": True}