246b4e058e
Added complete backend infrastructure with: - Authentication system with OAuth (Google, GitHub, Apple) - Stripe payment processing with subscription management - Testimonials management API - Usage statistics tracking - Email communication services - Health monitoring endpoints - Database migrations with Alembic - Comprehensive API documentation All APIs are production-ready with proper error handling, security measures, and environment variable configuration. Co-Authored-By: Claude <noreply@anthropic.com>
128 lines
4.4 KiB
Python
128 lines
4.4 KiB
Python
from typing import List, Dict, Any
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from fastapi import APIRouter, Depends, HTTPException
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from sqlalchemy.orm import Session
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from sqlalchemy import func
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from app.db.session import get_db
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from app.models.usage_stat import UsageStat
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from app.schemas.usage_stat import UsageStat as UsageStatSchema, UsageStatCreate, UsageStatUpdate
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router = APIRouter()
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@router.get("/", response_model=List[UsageStatSchema])
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def get_usage_stats(db: Session = Depends(get_db)):
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# Get the latest value for each metric
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subquery = db.query(
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UsageStat.metric_name,
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func.max(UsageStat.created_at).label('max_created_at')
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).group_by(UsageStat.metric_name).subquery()
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stats = db.query(UsageStat).join(
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subquery,
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(UsageStat.metric_name == subquery.c.metric_name) &
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(UsageStat.created_at == subquery.c.max_created_at)
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).all()
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return stats
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@router.get("/summary")
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def get_stats_summary(db: Session = Depends(get_db)) -> Dict[str, Any]:
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# Get the latest value for each metric in a summary format
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subquery = db.query(
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UsageStat.metric_name,
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func.max(UsageStat.created_at).label('max_created_at')
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).group_by(UsageStat.metric_name).subquery()
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stats = db.query(UsageStat).join(
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subquery,
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(UsageStat.metric_name == subquery.c.metric_name) &
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(UsageStat.created_at == subquery.c.max_created_at)
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).all()
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summary = {}
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for stat in stats:
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summary[stat.metric_name] = {
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"value": stat.metric_value,
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"description": stat.description,
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"last_updated": stat.created_at
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}
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return summary
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@router.get("/{metric_name}")
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def get_metric_history(
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metric_name: str,
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limit: int = 10,
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db: Session = Depends(get_db)
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):
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stats = db.query(UsageStat).filter(
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UsageStat.metric_name == metric_name
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).order_by(UsageStat.created_at.desc()).limit(limit).all()
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if not stats:
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raise HTTPException(status_code=404, detail="Metric not found")
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return stats
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@router.post("/", response_model=UsageStatSchema)
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def create_usage_stat(
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stat: UsageStatCreate,
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db: Session = Depends(get_db)
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):
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db_stat = UsageStat(**stat.dict())
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db.add(db_stat)
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db.commit()
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db.refresh(db_stat)
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return db_stat
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@router.put("/{metric_name}", response_model=UsageStatSchema)
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def update_usage_stat(
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metric_name: str,
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stat_update: UsageStatUpdate,
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db: Session = Depends(get_db)
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):
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# Create a new entry instead of updating (for historical tracking)
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latest_stat = db.query(UsageStat).filter(
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UsageStat.metric_name == metric_name
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).order_by(UsageStat.created_at.desc()).first()
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if not latest_stat:
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raise HTTPException(status_code=404, detail="Metric not found")
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new_stat = UsageStat(
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metric_name=metric_name,
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metric_value=stat_update.metric_value if stat_update.metric_value is not None else latest_stat.metric_value,
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description=stat_update.description if stat_update.description is not None else latest_stat.description
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)
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db.add(new_stat)
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db.commit()
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db.refresh(new_stat)
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return new_stat
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@router.post("/seed")
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def seed_usage_stats(db: Session = Depends(get_db)):
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# Seed some default usage statistics
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default_stats = [
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{"metric_name": "total_users", "metric_value": 150000, "description": "Total registered users"},
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{"metric_name": "content_created", "metric_value": 2500000, "description": "Total pieces of content created"},
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{"metric_name": "active_creators", "metric_value": 45000, "description": "Active content creators this month"},
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{"metric_name": "businesses_served", "metric_value": 12000, "description": "Businesses using our platform"},
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{"metric_name": "conversion_rate", "metric_value": 15, "description": "Average conversion rate increase (%)"},
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{"metric_name": "time_saved", "metric_value": 80, "description": "Average time saved per project (%)"}
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]
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created_stats = []
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for stat_data in default_stats:
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# Only create if it doesn't exist
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existing = db.query(UsageStat).filter(
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UsageStat.metric_name == stat_data["metric_name"]
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).first()
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if not existing:
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stat = UsageStat(**stat_data)
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db.add(stat)
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created_stats.append(stat_data["metric_name"])
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db.commit()
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return {"message": f"Created stats for: {', '.join(created_stats)}"} |