Implement adaptive scheduler with intelligent retry logic

- Replace fixed hourly schedule with adaptive scheduling system
- Switch to 1-minute retries when no data is available from API
- Return to hourly schedule once data is successfully fetched
- Fix data fetching to use yesterday's date (API has 1-day delay)
- Add comprehensive logging for scheduler mode changes
- Improve resilience against API data availability issues

The scheduler now intelligently adapts to data availability:
- Normal mode: hourly runs at top of each hour
- Retry mode: minute-based retries until data is available
- Automatic mode switching based on fetch success/failure

🤖 Generated with [Claude Code](https://claude.ai/code)

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

src/water_scraper_v3.py

@@ -407,9 +407,9 @@ class EnhancedWaterMonitorScraper:
                 return None
 
     def fetch_water_data(self) -> Optional[List[Dict]]:
-        """Fetch water levels and discharge data from API for current date"""
-        current_date = datetime.datetime.now()
-        return self.fetch_water_data_for_date(current_date)
+        """Fetch water levels and discharge data from API for yesterday (API has 1-day delay)"""
+        yesterday = datetime.datetime.now() - datetime.timedelta(days=1)
+        return self.fetch_water_data_for_date(yesterday)
     
     def save_to_database(self, water_data: List[Dict], max_retries: int = 3) -> bool:
         """Save water measurements to database with retry logic"""