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/nfl.py

@@ -2,6 +2,7 @@
 
 from datetime import datetime, date
 from typing import Optional
+from zoneinfo import ZoneInfo
 from bs4 import BeautifulSoup
 
 from .base import BaseScraper, RawGameData, ScrapeResult
@@ -33,7 +34,12 @@ class NFLScraper(BaseScraper):
     Sources (in priority order):
     1. ESPN API - Most reliable for NFL
     2. Pro-Football-Reference - Complete historical data
-    3. CBS Sports - Backup option
+    3. CBS Sports - Backup option (not implemented)
+
+    Source Timezones:
+    - espn: UTC - ISO 8601 format with "Z" suffix
+    - pro_football_reference: Eastern Time (ET) - times displayed as "8:20PM"
+    - cbs: Not implemented
     """
 
     def __init__(self, season: int, **kwargs):
@@ -56,7 +62,7 @@ class NFLScraper(BaseScraper):
         if source == "espn":
             week = kwargs.get("week", 1)
             season_type = kwargs.get("season_type", 2)  # 1=preseason, 2=regular, 3=postseason
-            return f"https://site.api.espn.com/apis/site/v2/sports/football/nfl/scoreboard?seasontype={season_type}&week={week}"
+            return f"https://site.api.espn.com/apis/site/v2/sports/football/nfl/scoreboard?season={self.season}&seasontype={season_type}&week={week}"
 
         elif source == "pro_football_reference":
             return f"https://www.pro-football-reference.com/years/{self.season}/games.htm"
@@ -323,6 +329,25 @@ class NFLScraper(BaseScraper):
         except ValueError:
             return None
 
+        # Get game start time (format: "8:20PM" or "1:00PM") - times are in ET
+        time_cell = row.find("td", {"data-stat": "gametime"})
+        if time_cell:
+            time_text = time_cell.get_text(strip=True)
+            if time_text:
+                try:
+                    # Parse time like "8:20PM" or "1:00PM"
+                    # Normalize: "8:20PM" -> "8:20 PM"
+                    time_normalized = time_text.replace("PM", " PM").replace("AM", " AM")
+                    game_time = datetime.strptime(time_normalized, "%I:%M %p")
+                    # Combine date and time with ET timezone (Pro-Football-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
         winner_cell = row.find("td", {"data-stat": "winner"})
         loser_cell = row.find("td", {"data-stat": "loser"})
@@ -566,6 +591,7 @@ class NFLScraper(BaseScraper):
                 country=info.country,
                 latitude=info.latitude,
                 longitude=info.longitude,
+                timezone=info.timezone,
                 surface="turf",  # Many NFL stadiums
                 roof_type="open",  # Most outdoor
             )