6 catalog data and mode mappers (#25)

* supabase product proxy and rendering

* minor pipeline refactor

* refactoring and demand estimation

* trackion of date index searching

* fixing changes of imports

* data seeding

* chore: airline basic refactor

* feat: huge push of product changes and item review with cart

* refactored design

* chore: moving route elsewhere and align

* fix: build of web/

* chore: fixing paper build

* fixing chars
This commit is contained in:
Daniel Alves Rösel
2025-11-25 11:00:31 +01:00
committed by GitHub
parent 894ce87a5d
commit 8b76d24ade
29 changed files with 1390 additions and 1237 deletions

View File

@@ -11,6 +11,7 @@ from kafka import KafkaProducer, KafkaAdminClient, KafkaConsumer
from kafka.admin import NewTopic
from kafka.errors import TopicAlreadyExistsError
from dotenv import load_dotenv
from supabase import create_client, Client
load_dotenv()
app = FastAPI()
@@ -18,6 +19,19 @@ app = FastAPI()
# kafka producer - lazy init
_producer: Optional[KafkaProducer] = None
# supabase client - lazy init
_supabase: Optional[Client] = None
def get_supabase() -> Client:
global _supabase
if _supabase is None:
url = os.getenv('NEXT_PUBLIC_SUPABASE_URL')
key = os.getenv('NEXT_PUBLIC_SUPABASE_ANON_KEY')
if not url or not key:
raise ValueError("Supabase credentials not configured")
_supabase = create_client(url, key)
return _supabase
def get_producer() -> KafkaProducer:
global _producer
if _producer is None:
@@ -183,6 +197,130 @@ def dump_logs(
print(traceback.format_exc())
raise HTTPException(status_code=500, detail=str(e))
@app.get("/api/products/{product_id}")
async def get_product_by_id(product_id: str):
"""fetch single product by id from either hotel_products or airline_products"""
try:
supabase = get_supabase()
# try hotel_products first
response = supabase.table('hotel_products').select('*').eq('id', product_id).execute()
if response.data and len(response.data) > 0:
return {"success": True, "data": response.data[0]}
# try airline_products
response = supabase.table('airline_products').select('*').eq('id', product_id).execute()
if response.data and len(response.data) > 0:
return {"success": True, "data": response.data[0]}
raise HTTPException(status_code=404, detail="Product not found")
except HTTPException:
raise
except Exception as e:
import traceback
print(f"[PRODUCT_BY_ID_ERROR] {e}")
print(traceback.format_exc())
raise HTTPException(status_code=500, detail=str(e))
@app.get("/api/products/type/{product_type}")
async def get_products(
product_type: str,
dateIndex: Optional[int] = None,
origin: Optional[str] = None,
destination: Optional[str] = None,
tripType: Optional[str] = None,
adults: Optional[int] = None,
children: Optional[int] = None,
infants: Optional[int] = None,
rooms: Optional[int] = None
):
"""fetch products from supabase based on type (hotel or airline)
params:
product_type: either 'hotel' or 'airline'
dateIndex: optional days offset from today (e.g., 0=today, 1=tomorrow, -1=yesterday)
origin: (airline) departure airport code
destination: (airline/hotel) arrival airport or hotel location
tripType: (airline) roundtrip, oneway, multicity
adults, children, infants: passenger counts
rooms: (hotel) number of rooms
"""
if product_type not in ['hotel', 'airline']:
raise HTTPException(status_code=400, detail="product_type must be 'hotel' or 'airline'")
try:
supabase = get_supabase()
table = f'{product_type}_products'
query = supabase.table(table).select('*')
# filter by exact date_index if provided
if dateIndex is not None:
query = query.eq('date_index', dateIndex)
response = query.execute()
results = response.data
# apply in-memory filters based on metadata for airline products
if product_type == 'airline' and results:
filtered = []
for product in results:
metadata = product.get('metadata', {})
# filter by origin airport
if origin:
dep = metadata.get('departure', {})
if dep.get('airport') != origin:
continue
# filter by destination airport
if destination:
arr = metadata.get('arrival', {})
if arr.get('airport') != destination:
continue
# passenger count validation (ensure total capacity)
if adults is not None or children is not None or infants is not None:
total_pax = (adults or 0) + (children or 0) + (infants or 0)
avail = product.get('availability', 0)
if avail < total_pax:
continue
filtered.append(product)
results = filtered
# apply in-memory filters for hotel products
elif product_type == 'hotel' and results:
filtered = []
for product in results:
metadata = product.get('metadata', {})
# filter by occupancy capacity
if adults is not None:
max_occ = metadata.get('max_occupancy', 2)
if max_occ < adults:
continue
# filter by room availability
if rooms is not None:
avail = product.get('availability', 0)
if avail < rooms:
continue
filtered.append(product)
results = filtered
return {"success": True, "count": len(results), "data": results}
except Exception as e:
import traceback
print(f"[PRODUCTS_ERROR] {e}")
print(traceback.format_exc())
raise HTTPException(status_code=500, detail=str(e))
if __name__ == "__main__":

View File

@@ -3,3 +3,4 @@ uvicorn[standard]==0.24.0
kafka-python==2.0.2
pydantic==2.5.0
python-dotenv==1.0.0
supabase==2.9.1