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560d5c2 f6375d6 560d5c2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 | from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy import desc, distinct, func
from sqlalchemy.orm import Session
from app.db.database import get_db
from app.db.models import (
Actor,
Address,
Category,
City,
Country,
Customer,
Film,
Inventory,
Payment,
Rental,
Store,
)
router = APIRouter()
@router.get("/insights")
async def get_insights(db: Session = Depends(get_db)):
try:
# TODO: Implement insights generation logic
return {"status": "success", "insights": []}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.get("/insights/top-films")
async def get_top_films(limit: int = 10, db: Session = Depends(get_db)):
try:
# Get top films by rental count
top_films = (
db.query(
Film.title,
func.count(Rental.rental_id).label("rental_count"),
Film.rental_rate,
func.sum(Payment.amount).label("total_revenue"),
)
.join(Rental, Film.film_id == Rental.inventory_id)
.join(Payment, Rental.rental_id == Payment.rental_id)
.group_by(Film.film_id)
.order_by(desc("rental_count"))
.limit(limit)
.all()
)
return {
"status": "success",
"data": [
{
"title": film.title,
"rental_count": film.rental_count,
"rental_rate": float(film.rental_rate),
"total_revenue": float(film.total_revenue),
}
for film in top_films
],
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.get("/insights/category-performance")
async def get_category_performance(db: Session = Depends(get_db)):
try:
# Get performance metrics by category
category_stats = (
db.query(
Category.name,
func.count(Film.film_id).label("film_count"),
func.avg(Film.rental_rate).label("avg_rental_rate"),
func.sum(Payment.amount).label("total_revenue"),
)
.join(Film, Category.category_id == Film.film_id)
.join(Rental, Film.film_id == Rental.inventory_id)
.join(Payment, Rental.rental_id == Payment.rental_id)
.group_by(Category.category_id)
.all()
)
return {
"status": "success",
"data": [
{
"category": cat.name,
"film_count": cat.film_count,
"avg_rental_rate": float(cat.avg_rental_rate),
"total_revenue": float(cat.total_revenue),
}
for cat in category_stats
],
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.get("/insights/customer-activity")
async def get_customer_activity(limit: int = 10, db: Session = Depends(get_db)):
try:
# Get most active customers
active_customers = (
db.query(
Customer.first_name,
Customer.last_name,
func.count(Rental.rental_id).label("rental_count"),
func.sum(Payment.amount).label("total_spent"),
)
.join(Rental, Customer.customer_id == Rental.customer_id)
.join(Payment, Rental.rental_id == Payment.rental_id)
.group_by(Customer.customer_id)
.order_by(desc("total_spent"))
.limit(limit)
.all()
)
return {
"status": "success",
"data": [
{
"customer_name": f"{cust.first_name} {cust.last_name}",
"rental_count": cust.rental_count,
"total_spent": float(cust.total_spent),
}
for cust in active_customers
],
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.get("/insights/store-performance")
async def get_store_performance(db: Session = Depends(get_db)):
try:
# Get store performance metrics
store_stats = (
db.query(
Store.store_id,
func.count(Rental.rental_id).label("rental_count"),
func.sum(Payment.amount).label("total_revenue"),
func.avg(Payment.amount).label("avg_transaction"),
)
.join(Rental, Store.store_id == Rental.staff_id)
.join(Payment, Rental.rental_id == Payment.rental_id)
.group_by(Store.store_id)
.all()
)
return {
"status": "success",
"data": [
{
"store_id": store.store_id,
"rental_count": store.rental_count,
"total_revenue": float(store.total_revenue),
"avg_transaction": float(store.avg_transaction),
}
for store in store_stats
],
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.get("/insights/actor-popularity")
async def get_actor_popularity(limit: int = 10, db: Session = Depends(get_db)):
try:
# Get most popular actors based on film rentals
popular_actors = (
db.query(
Actor.first_name,
Actor.last_name,
func.count(Rental.rental_id).label("rental_count"),
func.sum(Payment.amount).label("total_revenue"),
)
.join(Film, Actor.actor_id == Film.film_id)
.join(Rental, Film.film_id == Rental.inventory_id)
.join(Payment, Rental.rental_id == Payment.rental_id)
.group_by(Actor.actor_id)
.order_by(desc("rental_count"))
.limit(limit)
.all()
)
return {
"status": "success",
"data": [
{
"actor_name": f"{actor.first_name} {actor.last_name}",
"rental_count": actor.rental_count,
"total_revenue": float(actor.total_revenue),
}
for actor in popular_actors
],
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.get("/insights/sales-overview")
async def get_sales_overview(db: Session = Depends(get_db)):
try:
# Get monthly sales data for the past year
sales_data = (
db.query(
func.strftime("%Y-%m", Payment.payment_date).label("date"),
func.sum(Payment.amount).label("Sales"),
func.sum(Payment.amount * 0.7).label("Profit"), # Assuming 70% profit margin
func.sum(Payment.amount * 0.3).label("Expenses"), # Assuming 30% expenses
func.count(distinct(Rental.customer_id)).label("Customers"),
)
.join(Rental, Payment.rental_id == Rental.rental_id)
.group_by(func.strftime("%Y-%m", Payment.payment_date))
.order_by(func.strftime("%Y-%m", Payment.payment_date))
.limit(12)
.all()
)
return {
"status": "success",
"data": [
{
"date": sale.date,
"Sales": float(sale.Sales),
"Profit": float(sale.Profit),
"Expenses": float(sale.Expenses),
"Customers": sale.Customers,
}
for sale in sales_data
],
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
@router.get("/insights/regional-sales")
async def get_regional_sales(db: Session = Depends(get_db)):
try:
# Get sales data by country
regional_data = (
db.query(
Country.country.label("region"),
func.sum(Payment.amount).label("sales"),
func.count(distinct(Rental.customer_id)).label("marketShare"),
)
.join(City, Country.country_id == City.country_id)
.join(Address, City.city_id == Address.city_id)
.join(Store, Address.address_id == Store.address_id)
.join(Inventory, Store.store_id == Inventory.store_id)
.join(Rental, Inventory.inventory_id == Rental.inventory_id)
.join(Payment, Rental.rental_id == Payment.rental_id)
.group_by(Country.country)
.order_by(func.sum(Payment.amount).desc())
.all()
)
return {
"status": "success",
"data": [
{"region": region.region, "sales": float(region.sales), "marketShare": region.marketShare}
for region in regional_data
],
}
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
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