feat: add Django web app, CloudKit sync, dashboard, and game_datetime_utc export

Adds the full Django application layer on top of sportstime_parser:
- core: Sport, Team, Stadium, Game models with aliases and league structure
- scraper: orchestration engine, adapter, job management, Celery tasks
- cloudkit: CloudKit sync client, sync state tracking, sync jobs
- dashboard: staff dashboard for monitoring scrapers, sync, review queue
- notifications: email reports for scrape/sync results
- Docker setup for deployment (Dockerfile, docker-compose, entrypoint)

Game exports now use game_datetime_utc (ISO 8601 UTC) instead of
venue-local date+time strings, matching the canonical format used
by the iOS app.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

sportstime_parser/scrapers/nba.py

@@ -2,6 +2,7 @@
 
 from datetime import datetime, date, timezone
 from typing import Optional
+from zoneinfo import ZoneInfo
 from bs4 import BeautifulSoup
 import re
 
@@ -45,7 +46,12 @@ class NBAScraper(BaseScraper):
     Sources (in priority order):
     1. Basketball-Reference - Most reliable, complete historical data
     2. ESPN API - Good for current/future seasons
-    3. CBS Sports - Backup option
+    3. CBS Sports - Backup option (not implemented)
+
+    Source Timezones:
+    - basketball_reference: Eastern Time (ET) - times displayed as "7:30p"
+    - espn: UTC - ISO 8601 format with "Z" suffix
+    - cbs: Not implemented
     """
 
     def __init__(self, season: int, **kwargs):
@@ -196,6 +202,25 @@ class NBAScraper(BaseScraper):
                 self._logger.debug(f"Could not parse date: {date_text}")
                 return None
 
+        # Get game start time (format: "7:30p" or "10:00p") - times are in ET
+        time_cell = row.find("td", {"data-stat": "game_start_time"})
+        if time_cell:
+            time_text = time_cell.get_text(strip=True)
+            if time_text:
+                try:
+                    # Parse time like "7:30p" or "10:00p"
+                    # Normalize: "7:30p" -> "7:30 PM", "10:00p" -> "10:00 PM"
+                    time_normalized = time_text.replace("p", " PM").replace("a", " AM")
+                    game_time = datetime.strptime(time_normalized, "%I:%M %p")
+                    # Combine date and time with ET timezone (Basketball-Reference uses ET)
+                    game_date = game_date.replace(
+                        hour=game_time.hour,
+                        minute=game_time.minute,
+                        tzinfo=ZoneInfo("America/New_York"),
+                    )
+                except ValueError:
+                    self._logger.debug(f"Could not parse time: {time_text}, using midnight")
+
         # Get teams
         away_cell = row.find("td", {"data-stat": "visitor_team_name"})
         home_cell = row.find("td", {"data-stat": "home_team_name"})
@@ -648,6 +673,7 @@ class NBAScraper(BaseScraper):
                 country=info.country,
                 latitude=info.latitude,
                 longitude=info.longitude,
+                timezone=info.timezone,
                 surface="hardwood",
                 roof_type="dome",
             )