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"""
Comprehensive Scheduler for All Data Sources
Schedules and runs data collection from all available sources with configurable intervals
"""
import asyncio
import json
from datetime import datetime, timezone, timedelta
from typing import Dict, List, Optional, Any
from pathlib import Path
from utils.logger import setup_logger
from collectors.master_collector import DataSourceCollector
logger = setup_logger("comprehensive_scheduler")
class ComprehensiveScheduler:
"""
Comprehensive scheduler that manages data collection from all sources
"""
def __init__(self, config_file: Optional[str] = None):
"""
Initialize the comprehensive scheduler
Args:
config_file: Path to scheduler configuration file
"""
self.collector = DataSourceCollector()
self.config_file = config_file or "scheduler_config.json"
self.config = self._load_config()
self.last_run_times: Dict[str, datetime] = {}
self.running = False
logger.info("Comprehensive Scheduler initialized")
def _load_config(self) -> Dict[str, Any]:
"""
Load scheduler configuration
Returns:
Configuration dict
"""
default_config = {
"schedules": {
"market_data": {
"interval_seconds": 60, # Every 1 minute
"enabled": True
},
"blockchain": {
"interval_seconds": 300, # Every 5 minutes
"enabled": True
},
"news": {
"interval_seconds": 600, # Every 10 minutes
"enabled": True
},
"sentiment": {
"interval_seconds": 1800, # Every 30 minutes
"enabled": True
},
"whale_tracking": {
"interval_seconds": 300, # Every 5 minutes
"enabled": True
},
"full_collection": {
"interval_seconds": 3600, # Every 1 hour
"enabled": True
}
},
"max_retries": 3,
"retry_delay_seconds": 5,
"persist_results": True,
"results_directory": "data/collections"
}
config_path = Path(self.config_file)
if config_path.exists():
try:
with open(config_path, 'r') as f:
loaded_config = json.load(f)
# Merge with defaults
default_config.update(loaded_config)
logger.info(f"Loaded scheduler config from {config_path}")
except Exception as e:
logger.error(f"Error loading config file: {e}, using defaults")
return default_config
def save_config(self):
"""Save current configuration to file"""
try:
config_path = Path(self.config_file)
config_path.parent.mkdir(parents=True, exist_ok=True)
with open(config_path, 'w') as f:
json.dump(self.config, f, indent=2)
logger.info(f"Saved scheduler config to {config_path}")
except Exception as e:
logger.error(f"Error saving config: {e}")
async def _save_results(self, category: str, results: Any):
"""
Save collection results to file
Args:
category: Category name
results: Results to save
"""
if not self.config.get("persist_results", True):
return
try:
results_dir = Path(self.config.get("results_directory", "data/collections"))
results_dir.mkdir(parents=True, exist_ok=True)
timestamp = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S")
filename = results_dir / f"{category}_{timestamp}.json"
with open(filename, 'w') as f:
json.dump(results, f, indent=2, default=str)
logger.info(f"Saved {category} results to {filename}")
except Exception as e:
logger.error(f"Error saving results: {e}")
def should_run(self, category: str) -> bool:
"""
Check if a category should run based on its schedule
Args:
category: Category name
Returns:
True if should run, False otherwise
"""
schedule = self.config.get("schedules", {}).get(category, {})
if not schedule.get("enabled", True):
return False
interval = schedule.get("interval_seconds", 3600)
last_run = self.last_run_times.get(category)
if not last_run:
return True
elapsed = (datetime.now(timezone.utc) - last_run).total_seconds()
return elapsed >= interval
async def run_category_with_retry(self, category: str) -> Optional[Any]:
"""
Run a category collection with retry logic
Args:
category: Category name
Returns:
Collection results or None if failed
"""
max_retries = self.config.get("max_retries", 3)
retry_delay = self.config.get("retry_delay_seconds", 5)
for attempt in range(max_retries):
try:
logger.info(f"Running {category} collection (attempt {attempt + 1}/{max_retries})")
if category == "full_collection":
results = await self.collector.collect_all_data()
else:
results = await self.collector.collect_category(category)
self.last_run_times[category] = datetime.now(timezone.utc)
# Save results
await self._save_results(category, results)
return results
except Exception as e:
logger.error(f"Error in {category} collection (attempt {attempt + 1}): {e}")
if attempt < max_retries - 1:
logger.info(f"Retrying in {retry_delay} seconds...")
await asyncio.sleep(retry_delay)
else:
logger.error(f"Failed {category} collection after {max_retries} attempts")
return None
async def run_cycle(self):
"""Run one scheduler cycle - check and run due categories"""
logger.info("Running scheduler cycle...")
categories = self.config.get("schedules", {}).keys()
tasks = []
for category in categories:
if self.should_run(category):
logger.info(f"Scheduling {category} collection")
task = self.run_category_with_retry(category)
tasks.append((category, task))
if tasks:
# Run all due collections in parallel
results = await asyncio.gather(*[task for _, task in tasks], return_exceptions=True)
for (category, _), result in zip(tasks, results):
if isinstance(result, Exception):
logger.error(f"{category} collection failed: {str(result)}")
else:
if result:
stats = result.get("statistics", {}) if isinstance(result, dict) else None
if stats:
logger.info(
f"{category} collection complete: "
f"{stats.get('successful_sources', 'N/A')}/{stats.get('total_sources', 'N/A')} successful"
)
else:
logger.info("No collections due in this cycle")
async def run_forever(self, cycle_interval: int = 30):
"""
Run the scheduler forever with specified cycle interval
Args:
cycle_interval: Seconds between scheduler cycles
"""
self.running = True
logger.info(f"Starting comprehensive scheduler (cycle interval: {cycle_interval}s)")
try:
while self.running:
await self.run_cycle()
# Wait for next cycle
logger.info(f"Waiting {cycle_interval} seconds until next cycle...")
await asyncio.sleep(cycle_interval)
except KeyboardInterrupt:
logger.info("Scheduler interrupted by user")
except Exception as e:
logger.error(f"Scheduler error: {e}")
finally:
self.running = False
logger.info("Scheduler stopped")
def stop(self):
"""Stop the scheduler"""
logger.info("Stopping scheduler...")
self.running = False
async def run_once(self, category: Optional[str] = None):
"""
Run a single collection immediately
Args:
category: Category to run, or None for full collection
"""
if category:
logger.info(f"Running single {category} collection...")
results = await self.run_category_with_retry(category)
else:
logger.info("Running single full collection...")
results = await self.run_category_with_retry("full_collection")
return results
def get_status(self) -> Dict[str, Any]:
"""
Get scheduler status
Returns:
Dict with scheduler status information
"""
now = datetime.now(timezone.utc)
status = {
"running": self.running,
"current_time": now.isoformat(),
"schedules": {}
}
for category, schedule in self.config.get("schedules", {}).items():
last_run = self.last_run_times.get(category)
interval = schedule.get("interval_seconds", 0)
next_run = None
if last_run:
next_run = last_run + timedelta(seconds=interval)
time_until_next = None
if next_run:
time_until_next = (next_run - now).total_seconds()
status["schedules"][category] = {
"enabled": schedule.get("enabled", True),
"interval_seconds": interval,
"last_run": last_run.isoformat() if last_run else None,
"next_run": next_run.isoformat() if next_run else None,
"seconds_until_next": round(time_until_next, 2) if time_until_next else None,
"should_run_now": self.should_run(category)
}
return status
def update_schedule(self, category: str, interval_seconds: Optional[int] = None, enabled: Optional[bool] = None):
"""
Update schedule for a category
Args:
category: Category name
interval_seconds: New interval in seconds
enabled: Enable/disable the schedule
"""
if category not in self.config.get("schedules", {}):
logger.error(f"Unknown category: {category}")
return
if interval_seconds is not None:
self.config["schedules"][category]["interval_seconds"] = interval_seconds
logger.info(f"Updated {category} interval to {interval_seconds}s")
if enabled is not None:
self.config["schedules"][category]["enabled"] = enabled
logger.info(f"{'Enabled' if enabled else 'Disabled'} {category} schedule")
self.save_config()
# Example usage
if __name__ == "__main__":
async def main():
scheduler = ComprehensiveScheduler()
# Show status
print("\n" + "=" * 80)
print("COMPREHENSIVE SCHEDULER STATUS")
print("=" * 80)
status = scheduler.get_status()
print(f"Running: {status['running']}")
print(f"Current Time: {status['current_time']}")
print("\nSchedules:")
print("-" * 80)
for category, sched in status['schedules'].items():
enabled = "✓" if sched['enabled'] else "✗"
interval = sched['interval_seconds']
next_run = sched.get('seconds_until_next', 'N/A')
print(f"{enabled} {category:20} | Interval: {interval:6}s | Next in: {next_run}")
print("=" * 80)
# Run once as example
print("\nRunning market_data collection once as example...")
results = await scheduler.run_once("market_data")
if results:
print(f"\nCollected {len(results)} market data sources")
successful = sum(1 for r in results if r.get('success', False))
print(f"Successful: {successful}/{len(results)}")
print("\n" + "=" * 80)
print("To run scheduler forever, use: scheduler.run_forever()")
print("=" * 80)
asyncio.run(main())
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