fix lint

Author: Tony Qiu

backend/example/embedding_utils.py

@@ -8,7 +8,10 @@
 
 
 def find_similar_events(
-    embedding: list[float], threshold: float = 0.985, limit: int = None, min_date: str = None
+    embedding: list[float],
+    threshold: float = 0.985,
+    limit: int = None,
+    min_date: str = None,
 ) -> list[dict]:
     with connection.cursor() as cursor:
         # Base query with date filtering first for performance
@@ -17,25 +20,25 @@ def find_similar_events(
             FROM events 
             WHERE embedding IS NOT NULL
         """
-        
+
         params = [embedding]
-        
+
         # Add date filter if provided to reduce search space
         if min_date:
             base_query += " AND date >= %s"
             params.append(min_date)
-        
+
         # Add similarity threshold
         base_query += " AND 1 - (embedding <=> %s::vector) > %s"
         params.extend([embedding, threshold])
-        
+
         # Order and limit
         base_query += " ORDER BY similarity DESC"
-        
+
         if limit is not None:
             base_query += " LIMIT %s"
             params.append(limit)
-        
+
         cursor.execute(base_query, params)
 
         return [

backend/scraping/generate_static_data.py

@@ -36,7 +36,7 @@ def fetch_events_for_static_data():
     """Fetch all upcoming events from the database for static data generation"""
     conn_string = os.environ.get("SUPABASE_DB_URL")
     logging.info("Connecting to the database...")
-    
+
     with psycopg2.connect(conn_string) as conn, conn.cursor() as cur:
         logging.info("Executing query...")
         query = """
@@ -76,14 +76,17 @@ def generate_recommended_filters(events_data):
     """Generate recommended filters using OpenAI service"""
     try:
         from services.openai_service import generate_recommended_filters
+
         logging.info("Generating recommended filters using OpenAI...")
         recommended_filters = generate_recommended_filters(events_data)
-        
+
         if not recommended_filters:
             logging.warning("Failed to generate recommended filters")
             return []
-        
-        logging.info(f"Generated {len(recommended_filters)} filters: {recommended_filters}")
+
+        logging.info(
+            f"Generated {len(recommended_filters)} filters: {recommended_filters}"
+        )
         return recommended_filters
     except Exception as e:
         logging.error(f"Error generating recommended filters: {e}")
@@ -98,10 +101,10 @@ def main():
     try:
         # Fetch upcoming events
         events = fetch_events_for_static_data()
-        
+
         # Generate recommended filters
         recommended_filters = generate_recommended_filters(events)
-        
+
         # Write to staticData.ts
         output_path = (
             Path(__file__).parent.parent.parent
@@ -116,7 +119,7 @@ def main():
             current_time = datetime.now().isoformat()
             f.write('import { Event } from "@/hooks/useEvents";\n\n')
             f.write(f'export const LAST_UPDATED = "{current_time}";\n\n')
-            
+
             # Write static events data
             f.write("export const staticEventsData = new Map<string, Event>([\n")
             for i, event in enumerate(events):
@@ -141,7 +144,7 @@ def main():
                     f.write(",")
                 f.write("\n")
             f.write("]);\n\n")
-            
+
             # Write recommended filters
             if recommended_filters:
                 f.write("export const RECOMMENDED_FILTERS: string[] = [\n")
@@ -154,8 +157,10 @@ def main():
                 f.write("];\n")
             else:
                 f.write("export const RECOMMENDED_FILTERS: string[] = [];\n")
-        
-        logging.info("Successfully updated staticData.ts with events and recommended filters")
+
+        logging.info(
+            "Successfully updated staticData.ts with events and recommended filters"
+        )
     except Exception:
         logging.exception("An error occurred")
         sys.exit(1)

backend/scraping/instagram_feed.py

@@ -11,7 +11,6 @@
 import csv
 import logging
 import random
-import subprocess
 import time
 import traceback
 from datetime import datetime, timedelta, timezone
@@ -20,10 +19,9 @@
 from dotenv import load_dotenv
 from instaloader import Instaloader
 
-from example.embedding_utils import is_duplicate_event, find_similar_events
+from example.embedding_utils import find_similar_events
 from example.models import Clubs, Events
 from services.openai_service import extract_events_from_caption, generate_embedding
-from django.db import connection
 from services.storage_service import upload_image_from_url
 
 USER_AGENTS = [
@@ -190,10 +188,13 @@ def insert_event_to_db(event_data, club_ig, post_url):
             )
             candidate_ids = [row["id"] for row in similar_events]
             if candidate_ids:
-                for existing in Events.objects.filter(id__in=candidate_ids, date=event_date):
+                for existing in Events.objects.filter(
+                    id__in=candidate_ids, date=event_date
+                ):
                     if (
                         (existing.location or "") == (event_location or "")
-                        and (existing.start_time or "") == (event_data.get("start_time") or "")
+                        and (existing.start_time or "")
+                        == (event_data.get("start_time") or "")
                         and (
                             (existing.end_time or None)
                             == (event_data.get("end_time") or None)
@@ -403,6 +404,6 @@ def session():
     if L:
         logger.info("Session created successfully!")
         process_recent_feed(L)
-        
+
     else:
         logger.critical("Failed to initialize Instagram session, stopping...")

backend/scripts/generate_recommended_filters.py

@@ -8,10 +8,10 @@
 3. Updates the frontend staticData.ts file with the new filters
 """
 
-import os
-import sys
 import logging
+import os
 import re
+import sys
 from datetime import date
 from pathlib import Path
 
@@ -23,8 +23,8 @@
 os.environ.setdefault("DJANGO_SETTINGS_MODULE", "api.settings")
 django.setup()
 
-from example.models import Events
-from services.openai_service import generate_recommended_filters
+from example.models import Events  # noqa: E402
+from services.openai_service import generate_recommended_filters  # noqa: E402
 
 # Setup logging
 logging.basicConfig(
@@ -38,11 +38,11 @@ def fetch_upcoming_events():
     """Fetch all events with dates >= today"""
     today = date.today()
     logger.info(f"Fetching upcoming events from {today}...")
-    
+
     events = Events.objects.filter(date__gte=today).values(
-        'name', 'location', 'date', 'food', 'club_type', 'description'
+        "name", "location", "date", "food", "club_type", "description"
     )
-    
+
     events_list = list(events)
     logger.info(f"Found {len(events_list)} upcoming events")
     return events_list
@@ -54,7 +54,7 @@ def update_static_data_file(recommended_filters):
     frontend_dir = Path(__file__).resolve().parent.parent.parent / "frontend"
     static_events_path = frontend_dir / "src" / "data" / "staticEvents.ts"
     static_data_path = frontend_dir / "src" / "data" / "staticData.ts"
-    
+
     # Determine which file exists
     if static_data_path.exists():
         target_file = static_data_path
@@ -65,40 +65,42 @@ def update_static_data_file(recommended_filters):
     else:
         logger.error("Could not find staticEvents.ts or staticData.ts")
         return False
-    
+
     try:
         # Read the current file
-        with open(target_file, 'r', encoding='utf-8') as f:
+        with open(target_file, encoding="utf-8") as f:
             content = f.read()
-        
+
         # Format the recommended filters as a TypeScript array
         filters_ts = "export const RECOMMENDED_FILTERS: string[] = [\n"
         for filter_keyword in recommended_filters:
             # Escape quotes in the keyword
             escaped = filter_keyword.replace('"', '\\"')
             filters_ts += f'  "{escaped}",\n'
         filters_ts += "];\n"
-        
+
         # Check if RECOMMENDED_FILTERS already exists
         if "export const RECOMMENDED_FILTERS" in content:
             # Replace existing RECOMMENDED_FILTERS
-            pattern = r'export const RECOMMENDED_FILTERS:.*?\];'
-            content = re.sub(pattern, filters_ts.rstrip('\n'), content, flags=re.DOTALL)
+            pattern = r"export const RECOMMENDED_FILTERS:.*?\];"
+            content = re.sub(pattern, filters_ts.rstrip("\n"), content, flags=re.DOTALL)
             logger.info("Updated existing RECOMMENDED_FILTERS")
         else:
             # Append to the end of the file
             content += "\n" + filters_ts
             logger.info("Added new RECOMMENDED_FILTERS export")
-        
+
         # Write back to the file
-        with open(target_file, 'w', encoding='utf-8') as f:
+        with open(target_file, "w", encoding="utf-8") as f:
             f.write(content)
-        
-        logger.info(f"✅ Successfully updated {target_file.name} with {len(recommended_filters)} filters")
+
+        logger.info(
+            f"✅ Successfully updated {target_file.name} with {len(recommended_filters)} filters"
+        )
         return True
-        
-    except Exception as e:
-        logger.exception(f"Error updating static data file: {e}")
+
+    except Exception:
+        logger.exception("Error updating static data file")
         return False
 
 
@@ -107,27 +109,27 @@ def main():
     logger.info("=" * 60)
     logger.info("Starting recommended filters generation")
     logger.info("=" * 60)
-    
+
     # Step 1: Fetch upcoming events
     events_data = fetch_upcoming_events()
-    
+
     if not events_data:
         logger.warning("No upcoming events found, cannot generate filters")
         return 1
-    
+
     # Step 2: Generate recommended filters using OpenAI
     logger.info("Generating recommended filters using OpenAI...")
     recommended_filters = generate_recommended_filters(events_data)
-    
+
     if not recommended_filters:
         logger.error("Failed to generate recommended filters")
         return 1
-    
+
     logger.info(f"Generated {len(recommended_filters)} filters: {recommended_filters}")
-    
+
     # Step 3: Update the staticData.ts file
     success = update_static_data_file(recommended_filters)
-    
+
     if success:
         logger.info("=" * 60)
         logger.info("✅ Recommended filters generation completed successfully")
@@ -140,4 +142,3 @@ def main():
 
 if __name__ == "__main__":
     sys.exit(main())
-

backend/services/openai_service.py

@@ -181,9 +181,7 @@ def extract_events_from_caption(
             # Return default structure if API call fails
             return [_get_default_event_structure(image_url)]
 
-    def generate_recommended_filters(
-        self, events_data: list[dict]
-    ) -> list[str]:
+    def generate_recommended_filters(self, events_data: list[dict]) -> list[str]:
         """Generate recommended filter keywords from upcoming events data using GPT"""
         if not events_data:
             logger.warning("No events data provided for filter generation")
@@ -193,9 +191,9 @@ def generate_recommended_filters(
         event_summaries = []
         for event in events_data[:200]:  # Limit to 200 events to avoid token limits
             summary = f"- {event.get('name', 'Unnamed')} at {event.get('location', 'TBD')} on {event.get('date', 'TBD')}"
-            if event.get('food'):
+            if event.get("food"):
                 summary += f" (food: {event.get('food')})"
-            if event.get('club_type'):
+            if event.get("club_type"):
                 summary += f" [type: {event.get('club_type')}]"
             event_summaries.append(summary)
 
@@ -219,8 +217,10 @@ def generate_recommended_filters(
 """
 
         try:
-            logger.info(f"Generating recommended filters from {len(event_summaries)} events")
-            
+            logger.info(
+                f"Generating recommended filters from {len(event_summaries)} events"
+            )
+
             response = self.client.chat.completions.create(
                 model="gpt-4o-mini",
                 messages=[

frontend/tsconfig.tsbuildinfo

@@ -1 +1 @@
-{"root":["./src/app.tsx","./src/main.tsx","./src/vite-env.d.ts","./src/components/clubsgrid.tsx","./src/components/eventlegend.tsx","./src/components/eventscalendar.tsx","./src/components/eventsgrid.tsx","./src/components/floatingeventexportbar.tsx","./src/components/footer.tsx","./src/components/githublink.tsx","./src/components/navbar.tsx","./src/components/quickfilters.tsx","./src/components/searchinput.tsx","./src/components/ui/badge.tsx","./src/components/ui/button.tsx","./src/components/ui/card.tsx","./src/components/ui/icon-button.tsx","./src/components/ui/input.tsx","./src/components/ui/select.tsx","./src/components/ui/tabs.tsx","./src/components/ui/tooltip.tsx","./src/data/staticevents.ts","./src/hooks/index.ts","./src/hooks/usecategoryparam.ts","./src/hooks/useclubs.ts","./src/hooks/usedocumenttitle.ts","./src/hooks/useeventselection.ts","./src/hooks/useevents.ts","./src/hooks/usenavbar.ts","./src/hooks/usenewslettersubscribe.ts","./src/hooks/usequickfilters.ts","./src/hooks/usesearchstate.ts","./src/hooks/usetheme.ts","./src/lib/clubtypecolors.ts","./src/lib/dateutils.ts","./src/lib/eventutils.ts","./src/lib/theme.tsx","./src/lib/utils.ts","./src/pages/aboutpage.tsx","./src/pages/clubspage.tsx","./src/pages/eventspage.tsx"],"version":"5.8.3"}
+{"root":["./src/app.tsx","./src/main.tsx","./src/vite-env.d.ts","./src/components/clubsgrid.tsx","./src/components/eventlegend.tsx","./src/components/eventscalendar.tsx","./src/components/eventsgrid.tsx","./src/components/floatingeventexportbar.tsx","./src/components/footer.tsx","./src/components/githublink.tsx","./src/components/navbar.tsx","./src/components/quickfilters.tsx","./src/components/searchinput.tsx","./src/components/ui/badge.tsx","./src/components/ui/button.tsx","./src/components/ui/card.tsx","./src/components/ui/icon-button.tsx","./src/components/ui/input.tsx","./src/components/ui/select.tsx","./src/components/ui/tabs.tsx","./src/components/ui/tooltip.tsx","./src/data/staticdata.ts","./src/hooks/index.ts","./src/hooks/usecategoryparam.ts","./src/hooks/useclubs.ts","./src/hooks/usedocumenttitle.ts","./src/hooks/useeventselection.ts","./src/hooks/useevents.ts","./src/hooks/usenavbar.ts","./src/hooks/usenewslettersubscribe.ts","./src/hooks/usequickfilters.ts","./src/hooks/usesearchstate.ts","./src/hooks/usetheme.ts","./src/lib/clubtypecolors.ts","./src/lib/dateutils.ts","./src/lib/eventutils.ts","./src/lib/theme.tsx","./src/lib/utils.ts","./src/pages/aboutpage.tsx","./src/pages/clubspage.tsx","./src/pages/contactpage.tsx","./src/pages/eventspage.tsx"],"version":"5.8.3"}