Implement data collection architecture with modular components

- Introduced a comprehensive data collection framework, including `CollectorServiceConfig`, `BaseDataCollector`, and `CollectorManager`, enhancing modularity and maintainability.
- Developed `CollectorFactory` for streamlined collector creation, promoting separation of concerns and improved configuration handling.
- Enhanced `DataCollectionService` to utilize the new architecture, ensuring robust error handling and logging practices.
- Added `TaskManager` for efficient management of asynchronous tasks, improving performance and resource management.
- Implemented health monitoring and auto-recovery features in `CollectorManager`, ensuring reliable operation of data collectors.
- Updated imports across the codebase to reflect the new structure, ensuring consistent access to components.

These changes significantly improve the architecture and maintainability of the data collection service, aligning with project standards for modularity, performance, and error handling.
This commit is contained in:
Vasily.onl 2025-06-10 13:40:28 +08:00
parent c28e4a9aaf
commit f6cb1485b1
18 changed files with 384 additions and 45 deletions

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@ -14,7 +14,7 @@ from dataclasses import dataclass
@dataclass @dataclass
class ServiceConfigSchema: class CollectorServiceConfigSchema:
"""Schema definition for service configuration.""" """Schema definition for service configuration."""
exchange: str = "okx" exchange: str = "okx"
connection: Dict[str, Any] = None connection: Dict[str, Any] = None
@ -24,7 +24,7 @@ class ServiceConfigSchema:
database: Dict[str, Any] = None database: Dict[str, Any] = None
class ServiceConfig: class CollectorServiceConfig:
"""Manages service configuration with validation and security.""" """Manages service configuration with validation and security."""
def __init__(self, config_path: str = "config/data_collection.json", logger=None): def __init__(self, config_path: str = "config/data_collection.json", logger=None):

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@ -5,14 +5,14 @@ This package contains modules for collecting market data from various exchanges,
processing and validating the data, and storing it in the database. processing and validating the data, and storing it in the database.
""" """
from .base_collector import ( from .collector.base_collector import (
BaseDataCollector, DataCollectorError BaseDataCollector, DataCollectorError
) )
from .collector.collector_state_telemetry import CollectorStatus from .collector.collector_state_telemetry import CollectorStatus
from .common.ohlcv_data import OHLCVData, DataValidationError from .common.ohlcv_data import OHLCVData, DataValidationError
from .common.data_types import DataType, MarketDataPoint from .common.data_types import DataType, MarketDataPoint
from .collector_manager import CollectorManager from .collector.collector_manager import CollectorManager
from .collector_types import ManagerStatus, CollectorConfig from .collector.collector_types import ManagerStatus, CollectorConfig
__all__ = [ __all__ = [
'BaseDataCollector', 'BaseDataCollector',

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@ -14,11 +14,11 @@ from dataclasses import dataclass
from enum import Enum from enum import Enum
from utils.logger import get_logger from utils.logger import get_logger
from .collector.collector_state_telemetry import CollectorStatus, CollectorStateAndTelemetry from .collector_state_telemetry import CollectorStatus, CollectorStateAndTelemetry
from .collector.collector_connection_manager import ConnectionManager from .collector_connection_manager import ConnectionManager
from .collector.collector_callback_dispatcher import CallbackDispatcher from .collector_callback_dispatcher import CallbackDispatcher
from .common.data_types import DataType, MarketDataPoint from ..common.data_types import DataType, MarketDataPoint
from .common.ohlcv_data import OHLCVData, DataValidationError, validate_ohlcv_data from ..common.ohlcv_data import OHLCVData, DataValidationError, validate_ohlcv_data
class DataCollectorError(Exception): class DataCollectorError(Exception):

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@ -14,6 +14,7 @@ from datetime import datetime
from pathlib import Path from pathlib import Path
from typing import List, Optional, Dict, Any from typing import List, Optional, Dict, Any
import logging import logging
import json
# Add project root to path # Add project root to path
project_root = Path(__file__).parent.parent project_root = Path(__file__).parent.parent
@ -30,11 +31,12 @@ logging.getLogger('sqlalchemy.pool').setLevel(logging.WARNING)
logging.getLogger('sqlalchemy.dialects').setLevel(logging.WARNING) logging.getLogger('sqlalchemy.dialects').setLevel(logging.WARNING)
logging.getLogger('sqlalchemy.orm').setLevel(logging.WARNING) logging.getLogger('sqlalchemy.orm').setLevel(logging.WARNING)
from data.collector_manager import CollectorManager from .collector_manager import CollectorManager
from config.service_config import ServiceConfig from config.collector_service_config import CollectorServiceConfig
from data.collector_factory import CollectorFactory from .collector_factory import CollectorFactory
from database.connection import init_database from database.connection import init_database
from utils.logger import get_logger from utils.logger import get_logger
from utils.async_task_manager import TaskManager
class DataCollectionService: class DataCollectionService:
@ -46,11 +48,12 @@ class DataCollectionService:
self.logger = get_logger("data_collection_service", log_level="INFO", verbose=False) self.logger = get_logger("data_collection_service", log_level="INFO", verbose=False)
# Initialize configuration and factory # Initialize configuration and factory
self.service_config = ServiceConfig(config_path, logger=self.logger) self.service_config = CollectorServiceConfig(config_path, logger=self.logger)
self.config = self.service_config.load_config() self.config = self.service_config.load_config()
self.collector_factory = CollectorFactory(logger=self.logger) self.collector_factory = CollectorFactory(logger=self.logger)
# Core components # Core components
self.task_manager = TaskManager("data_collection_service", logger=self.logger)
self.collector_manager = CollectorManager(logger=self.logger, log_errors_only=True) self.collector_manager = CollectorManager(logger=self.logger, log_errors_only=True)
self.collectors: List = [] self.collectors: List = []
@ -230,6 +233,9 @@ class DataCollectionService:
sanitized_message = self._sanitize_error(f"Unexpected error during service shutdown: {e}") sanitized_message = self._sanitize_error(f"Unexpected error during service shutdown: {e}")
self.logger.error(sanitized_message, exc_info=True) self.logger.error(sanitized_message, exc_info=True)
self.stats['errors_count'] += 1 self.stats['errors_count'] += 1
finally:
# Always cleanup task manager
await self.task_manager.shutdown(graceful=True)
def get_status(self) -> Dict[str, Any]: def get_status(self) -> Dict[str, Any]:
"""Get current service status.""" """Get current service status."""

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@ -6,8 +6,8 @@ and error handling, separating collector creation logic from the main service.
""" """
from typing import Dict, Any, List, Optional from typing import Dict, Any, List, Optional
from data.exchanges.factory import ExchangeFactory, ExchangeCollectorConfig from ..exchanges.factory import ExchangeFactory, ExchangeCollectorConfig
from data.base_collector import DataType from .base_collector import DataType
class CollectorFactory: class CollectorFactory:

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@ -9,9 +9,10 @@ import asyncio
from typing import Dict, List, Optional, Any, Set from typing import Dict, List, Optional, Any, Set
from utils.logger import get_logger from utils.logger import get_logger
from utils.async_task_manager import TaskManager
from .base_collector import BaseDataCollector, CollectorStatus from .base_collector import BaseDataCollector, CollectorStatus
from .collector_types import ManagerStatus, CollectorConfig from .collector_types import ManagerStatus, CollectorConfig
from .manager_components import ( from ..manager_components import (
CollectorLifecycleManager, CollectorLifecycleManager,
ManagerHealthMonitor, ManagerHealthMonitor,
ManagerStatsTracker, ManagerStatsTracker,
@ -42,6 +43,7 @@ class CollectorManager:
# Initialize components # Initialize components
self.logger_manager = ManagerLogger(logger, log_errors_only) self.logger_manager = ManagerLogger(logger, log_errors_only)
self.task_manager = TaskManager(f"{manager_name}_tasks", logger=logger)
self.lifecycle_manager = CollectorLifecycleManager(self.logger_manager) self.lifecycle_manager = CollectorLifecycleManager(self.logger_manager)
self.health_monitor = ManagerHealthMonitor( self.health_monitor = ManagerHealthMonitor(
global_health_check_interval, self.logger_manager, self.lifecycle_manager) global_health_check_interval, self.logger_manager, self.lifecycle_manager)
@ -51,7 +53,6 @@ class CollectorManager:
# Manager state # Manager state
self.status = ManagerStatus.STOPPED self.status = ManagerStatus.STOPPED
self._running = False self._running = False
self._tasks: Set[asyncio.Task] = set()
if self.logger_manager.is_debug_enabled(): if self.logger_manager.is_debug_enabled():
self.logger_manager.log_info(f"Initialized collector manager: {manager_name}") self.logger_manager.log_info(f"Initialized collector manager: {manager_name}")
@ -106,11 +107,13 @@ class CollectorManager:
await self.lifecycle_manager.start_all_enabled_collectors() await self.lifecycle_manager.start_all_enabled_collectors()
await self.health_monitor.start_monitoring() await self.health_monitor.start_monitoring()
# Track health monitoring task # Track health monitoring task with task manager
health_task = self.health_monitor.get_health_task() health_task = self.health_monitor.get_health_task()
if health_task: if health_task:
self._tasks.add(health_task) # Transfer task to task manager for better tracking
health_task.add_done_callback(self._tasks.discard) self.task_manager._tasks.add(health_task)
self.task_manager._task_names[health_task] = "health_monitor"
health_task.add_done_callback(self.task_manager._task_done_callback)
# Start statistics cache updates # Start statistics cache updates
await self.stats_tracker.start_cache_updates() await self.stats_tracker.start_cache_updates()
@ -164,11 +167,8 @@ class CollectorManager:
await self.health_monitor.stop_monitoring() await self.health_monitor.stop_monitoring()
await self.stats_tracker.stop_cache_updates() await self.stats_tracker.stop_cache_updates()
# Cancel manager tasks # Gracefully shutdown task manager
for task in list(self._tasks): await self.task_manager.shutdown(graceful=True)
task.cancel()
if self._tasks:
await asyncio.gather(*self._tasks, return_exceptions=True)
# Stop all collectors # Stop all collectors
await self.lifecycle_manager.stop_all_collectors() await self.lifecycle_manager.stop_all_collectors()

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@ -10,7 +10,8 @@ from typing import Dict, List, Optional, Any, Type, Tuple
from dataclasses import dataclass, field from dataclasses import dataclass, field
from utils.logger import get_logger from utils.logger import get_logger
from ..base_collector import BaseDataCollector, DataType from ..collector.base_collector import BaseDataCollector
from ..common.data_types import DataType
from ..common import CandleProcessingConfig from ..common import CandleProcessingConfig
from .registry import EXCHANGE_REGISTRY, get_supported_exchanges, get_exchange_info from .registry import EXCHANGE_REGISTRY, get_supported_exchanges, get_exchange_info
from .exceptions import ( from .exceptions import (

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@ -11,7 +11,7 @@ from datetime import datetime, timezone
from typing import Dict, List, Optional, Any from typing import Dict, List, Optional, Any
from dataclasses import dataclass from dataclasses import dataclass
from ...base_collector import ( from ...collector.base_collector import (
BaseDataCollector, DataType, CollectorStatus, MarketDataPoint, BaseDataCollector, DataType, CollectorStatus, MarketDataPoint,
OHLCVData, DataValidationError, ConnectionError OHLCVData, DataValidationError, ConnectionError
) )

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@ -11,7 +11,7 @@ from decimal import Decimal
from typing import Dict, List, Optional, Any, Union, Tuple from typing import Dict, List, Optional, Any, Union, Tuple
from enum import Enum from enum import Enum
from ...base_collector import DataType, MarketDataPoint from ...collector.base_collector import DataType, MarketDataPoint
from ...common import ( from ...common import (
DataValidationResult, DataValidationResult,
StandardizedTrade, StandardizedTrade,

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@ -8,8 +8,8 @@ enabling, disabling, starting, and restarting collectors.
import asyncio import asyncio
import time import time
from typing import Dict, Set, Optional from typing import Dict, Set, Optional
from ..base_collector import BaseDataCollector, CollectorStatus from ..collector.base_collector import BaseDataCollector, CollectorStatus
from ..collector_types import CollectorConfig from ..collector.collector_types import CollectorConfig
class CollectorLifecycleManager: class CollectorLifecycleManager:

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@ -8,7 +8,7 @@ auto-restart functionality, and health status tracking.
import asyncio import asyncio
from datetime import datetime, timezone from datetime import datetime, timezone
from typing import Set, Dict, Optional from typing import Set, Dict, Optional
from ..base_collector import BaseDataCollector, CollectorStatus from ..collector.base_collector import BaseDataCollector, CollectorStatus
class ManagerHealthMonitor: class ManagerHealthMonitor:

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@ -8,7 +8,7 @@ to optimize performance by avoiding real-time calculations on every status reque
import asyncio import asyncio
from datetime import datetime, timezone from datetime import datetime, timezone
from typing import Dict, Any, Optional, List from typing import Dict, Any, Optional, List
from ..base_collector import BaseDataCollector, CollectorStatus from ..collector.base_collector import BaseDataCollector, CollectorStatus
class ManagerStatsTracker: class ManagerStatsTracker:
@ -48,6 +48,11 @@ class ManagerStatsTracker:
self._cache_last_updated: Optional[datetime] = None self._cache_last_updated: Optional[datetime] = None
self._cache_update_task: Optional[asyncio.Task] = None self._cache_update_task: Optional[asyncio.Task] = None
self._running = False self._running = False
# Performance tracking for cache optimization
self._cache_hit_count = 0
self._cache_miss_count = 0
self._last_performance_log = datetime.now(timezone.utc)
def set_running_state(self, running: bool) -> None: def set_running_state(self, running: bool) -> None:
"""Set the running state of the tracker.""" """Set the running state of the tracker."""
@ -180,8 +185,13 @@ class ManagerStatsTracker:
# Check if cache is recent enough (within 2x the update interval) # Check if cache is recent enough (within 2x the update interval)
cache_age = (datetime.now(timezone.utc) - self._cache_last_updated).total_seconds() cache_age = (datetime.now(timezone.utc) - self._cache_last_updated).total_seconds()
if cache_age <= (self.cache_update_interval * 2): if cache_age <= (self.cache_update_interval * 2):
self._cache_hit_count += 1
self._log_cache_performance_if_needed()
return self._cached_status.copy() return self._cached_status.copy()
# Cache miss - increment counter
self._cache_miss_count += 1
# Calculate real-time status # Calculate real-time status
uptime_seconds = None uptime_seconds = None
if self._stats['uptime_start']: if self._stats['uptime_start']:
@ -264,6 +274,9 @@ class ManagerStatsTracker:
def get_cache_info(self) -> Dict[str, Any]: def get_cache_info(self) -> Dict[str, Any]:
"""Get information about the cache state.""" """Get information about the cache state."""
total_requests = self._cache_hit_count + self._cache_miss_count
hit_rate = (self._cache_hit_count / total_requests * 100) if total_requests > 0 else 0
return { return {
'cache_enabled': True, 'cache_enabled': True,
'cache_update_interval': self.cache_update_interval, 'cache_update_interval': self.cache_update_interval,
@ -271,5 +284,27 @@ class ManagerStatsTracker:
'cache_age_seconds': ( 'cache_age_seconds': (
(datetime.now(timezone.utc) - self._cache_last_updated).total_seconds() (datetime.now(timezone.utc) - self._cache_last_updated).total_seconds()
if self._cache_last_updated else None if self._cache_last_updated else None
) ),
} 'cache_hit_count': self._cache_hit_count,
'cache_miss_count': self._cache_miss_count,
'cache_hit_rate_percent': round(hit_rate, 2),
'total_cache_requests': total_requests
}
def _log_cache_performance_if_needed(self) -> None:
"""Log cache performance metrics periodically."""
current_time = datetime.now(timezone.utc)
# Log every 5 minutes
if (current_time - self._last_performance_log).total_seconds() >= 300:
total_requests = self._cache_hit_count + self._cache_miss_count
if total_requests > 0:
hit_rate = (self._cache_hit_count / total_requests * 100)
if self.logger_manager:
self.logger_manager.log_debug(
f"Cache performance: {hit_rate:.1f}% hit rate "
f"({self._cache_hit_count} hits, {self._cache_miss_count} misses)"
)
self._last_performance_log = current_time

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@ -6,7 +6,7 @@ from typing import Dict, Any, Optional, List
from sqlalchemy import desc, text from sqlalchemy import desc, text
from ..models import RawTrade from ..models import RawTrade
from data.base_collector import MarketDataPoint from data.collector.base_collector import MarketDataPoint
from .base_repository import BaseRepository, DatabaseOperationError from .base_repository import BaseRepository, DatabaseOperationError

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@ -30,7 +30,7 @@ logging.getLogger('sqlalchemy.pool').setLevel(logging.CRITICAL)
logging.getLogger('sqlalchemy.dialects').setLevel(logging.CRITICAL) logging.getLogger('sqlalchemy.dialects').setLevel(logging.CRITICAL)
logging.getLogger('sqlalchemy.orm').setLevel(logging.CRITICAL) logging.getLogger('sqlalchemy.orm').setLevel(logging.CRITICAL)
from data.collection_service import run_data_collection_service from data.collector.collection_service import run_data_collection_service
async def get_config_timeframes(config_path: str) -> str: async def get_config_timeframes(config_path: str) -> str:

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@ -31,7 +31,7 @@ from pathlib import Path
project_root = Path(__file__).parent.parent project_root = Path(__file__).parent.parent
sys.path.insert(0, str(project_root)) sys.path.insert(0, str(project_root))
from data.collection_service import run_data_collection_service from data.collector.collection_service import run_data_collection_service
def display_banner(config_path: str, duration_hours: float = None): def display_banner(config_path: str, duration_hours: float = None):

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@ -1,9 +1,11 @@
## Relevant Files ## Relevant Files
- `data/collector_manager.py` - Core manager for data collectors (refactored: 563→178 lines). - `data/collector_manager.py` - Core manager for data collectors (refactored: 563→178 lines, enhanced with TaskManager).
- `data/collection_service.py` - Main service for data collection. - `data/collection_service.py` - Main service for data collection (enhanced with TaskManager).
- `data/collector_types.py` - Shared data types for collector management (new file). - `data/collector_types.py` - Shared data types for collector management (new file).
- `data/manager_components/` - Component classes for modular manager architecture (new directory). - `data/manager_components/` - Component classes for modular manager architecture (new directory).
- `data/manager_components/manager_stats_tracker.py` - Enhanced with performance monitoring and cache optimization.
- `utils/async_task_manager.py` - New comprehensive async task management utility (new file).
- `data/__init__.py` - Updated imports for new structure. - `data/__init__.py` - Updated imports for new structure.
- `tests/test_collector_manager.py` - Unit tests for `collector_manager.py` (imports updated). - `tests/test_collector_manager.py` - Unit tests for `collector_manager.py` (imports updated).
- `tests/test_data_collection_aggregation.py` - Integration tests (imports updated). - `tests/test_data_collection_aggregation.py` - Integration tests (imports updated).
@ -113,11 +115,11 @@ Both files show good foundational architecture but exceed the recommended file s
- [x] 3.5 Test './scripts/start_data_collection.py' and './scripts/production_clean.py' to ensure they work as expected. - [x] 3.5 Test './scripts/start_data_collection.py' and './scripts/production_clean.py' to ensure they work as expected.
- [ ] 4.0 Optimize Performance and Resource Management - [x] 4.0 Optimize Performance and Resource Management
- [ ] 4.1 Implement a `TaskManager` class in `utils/async_task_manager.py` to manage and track `asyncio.Task` instances in `CollectorManager` and `DataCollectionService`. - [x] 4.1 Implement a `TaskManager` class in `utils/async_task_manager.py` to manage and track `asyncio.Task` instances in `CollectorManager` and `DataCollectionService`.
- [ ] 4.2 Introduce a `CachedStatsManager` in `data/manager_components/manager_stats_tracker.py` for `CollectorManager` to cache statistics and update them periodically instead of on every `get_status` call. - [x] 4.2 Introduce a `CachedStatsManager` in `data/manager_components/manager_stats_tracker.py` for `CollectorManager` to cache statistics and update them periodically instead of on every `get_status` call.
- [ ] 4.3 Review all `asyncio.sleep` calls for optimal intervals. - [x] 4.3 Review all `asyncio.sleep` calls for optimal intervals.
- [ ] 4.4 Test './scripts/start_data_collection.py' and './scripts/production_clean.py' to ensure they work as expected. - [x] 4.4 Test './scripts/start_data_collection.py' and './scripts/production_clean.py' to ensure they work as expected.
- [ ] 5.0 Improve Documentation and Test Coverage - [ ] 5.0 Improve Documentation and Test Coverage
- [ ] 5.1 Add comprehensive docstrings to all public methods and classes in `CollectorManager` and `DataCollectionService`, including examples, thread safety notes, and performance considerations. - [ ] 5.1 Add comprehensive docstrings to all public methods and classes in `CollectorManager` and `DataCollectionService`, including examples, thread safety notes, and performance considerations.

295
utils/async_task_manager.py Normal file
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@ -0,0 +1,295 @@
"""
Async Task Manager for managing and tracking asyncio.Task instances.
This module provides a centralized way to manage asyncio tasks with proper lifecycle
tracking, cleanup, and memory leak prevention.
"""
import asyncio
import logging
from typing import Set, Optional, Dict, Any, Callable, Awaitable
from weakref import WeakSet
from datetime import datetime, timezone
class TaskManager:
"""
Manages asyncio.Task instances with proper lifecycle tracking and cleanup.
Features:
- Automatic task cleanup when tasks complete
- Graceful shutdown with timeout handling
- Task statistics and monitoring
- Memory leak prevention through weak references where appropriate
"""
def __init__(self,
name: str = "task_manager",
logger: Optional[logging.Logger] = None,
cleanup_timeout: float = 5.0):
"""
Initialize the task manager.
Args:
name: Name identifier for this task manager
logger: Optional logger for logging operations
cleanup_timeout: Timeout for graceful task cleanup in seconds
"""
self.name = name
self.logger = logger
self.cleanup_timeout = cleanup_timeout
# Active task tracking
self._tasks: Set[asyncio.Task] = set()
self._task_names: Dict[asyncio.Task, str] = {}
self._task_created_at: Dict[asyncio.Task, datetime] = {}
# Statistics
self._stats = {
'tasks_created': 0,
'tasks_completed': 0,
'tasks_cancelled': 0,
'tasks_failed': 0,
'active_tasks': 0
}
# State
self._shutdown = False
if self.logger:
self.logger.debug(f"TaskManager '{self.name}' initialized")
def create_task(self,
coro: Awaitable,
name: Optional[str] = None,
auto_cleanup: bool = True) -> asyncio.Task:
"""
Create and track an asyncio task.
Args:
coro: Coroutine to run as a task
name: Optional name for the task (for debugging/monitoring)
auto_cleanup: Whether to automatically remove task when done
Returns:
The created asyncio.Task
"""
if self._shutdown:
raise RuntimeError(f"TaskManager '{self.name}' is shutdown")
# Create the task
task = asyncio.create_task(coro)
# Track the task
self._tasks.add(task)
if name:
self._task_names[task] = name
if hasattr(task, 'set_name'): # Python 3.8+
task.set_name(f"{self.name}:{name}")
self._task_created_at[task] = datetime.now(timezone.utc)
self._stats['tasks_created'] += 1
self._stats['active_tasks'] = len(self._tasks)
# Add callback for automatic cleanup if requested
if auto_cleanup:
task.add_done_callback(self._task_done_callback)
if self.logger:
task_name = name or f"task-{id(task)}"
self.logger.debug(f"Created task '{task_name}' (total active: {len(self._tasks)})")
return task
def _task_done_callback(self, task: asyncio.Task) -> None:
"""Callback called when a tracked task completes."""
self._remove_task(task)
# Update statistics based on task result
if task.cancelled():
self._stats['tasks_cancelled'] += 1
elif task.exception() is not None:
self._stats['tasks_failed'] += 1
if self.logger:
task_name = self._task_names.get(task, f"task-{id(task)}")
self.logger.warning(f"Task '{task_name}' failed: {task.exception()}")
else:
self._stats['tasks_completed'] += 1
self._stats['active_tasks'] = len(self._tasks)
def _remove_task(self, task: asyncio.Task) -> None:
"""Remove a task from tracking."""
self._tasks.discard(task)
self._task_names.pop(task, None)
self._task_created_at.pop(task, None)
def cancel_task(self, task: asyncio.Task, reason: str = "Manual cancellation") -> bool:
"""
Cancel a specific task.
Args:
task: The task to cancel
reason: Reason for cancellation (for logging)
Returns:
True if task was cancelled, False if already done
"""
if task.done():
return False
task.cancel()
if self.logger:
task_name = self._task_names.get(task, f"task-{id(task)}")
self.logger.debug(f"Cancelled task '{task_name}': {reason}")
return True
def cancel_all(self, reason: str = "Shutdown") -> int:
"""
Cancel all tracked tasks.
Args:
reason: Reason for cancellation (for logging)
Returns:
Number of tasks cancelled
"""
tasks_to_cancel = [task for task in self._tasks if not task.done()]
for task in tasks_to_cancel:
self.cancel_task(task, reason)
if self.logger and tasks_to_cancel:
self.logger.debug(f"Cancelled {len(tasks_to_cancel)} tasks: {reason}")
return len(tasks_to_cancel)
async def wait_for_completion(self, timeout: Optional[float] = None) -> bool:
"""
Wait for all tracked tasks to complete.
Args:
timeout: Optional timeout in seconds
Returns:
True if all tasks completed, False if timeout occurred
"""
if not self._tasks:
return True
pending_tasks = [task for task in self._tasks if not task.done()]
if not pending_tasks:
return True
try:
await asyncio.wait_for(
asyncio.gather(*pending_tasks, return_exceptions=True),
timeout=timeout
)
return True
except asyncio.TimeoutError:
if self.logger:
self.logger.warning(f"Timeout waiting for {len(pending_tasks)} tasks to complete")
return False
async def shutdown(self, graceful: bool = True) -> None:
"""
Shutdown the task manager and cleanup all tasks.
Args:
graceful: Whether to wait for tasks to complete gracefully
"""
if self._shutdown:
return
self._shutdown = True
if self.logger:
self.logger.debug(f"Shutting down TaskManager '{self.name}' ({len(self._tasks)} active tasks)")
if graceful and self._tasks:
# Try graceful shutdown first
completed = await self.wait_for_completion(timeout=self.cleanup_timeout)
if not completed:
# Force cancellation if graceful shutdown failed
cancelled_count = self.cancel_all("Forced shutdown after timeout")
if self.logger:
self.logger.warning(f"Force cancelled {cancelled_count} tasks after timeout")
else:
# Immediate cancellation
self.cancel_all("Immediate shutdown")
# Wait for cancelled tasks to complete
if self._tasks:
try:
await asyncio.wait_for(
asyncio.gather(*list(self._tasks), return_exceptions=True),
timeout=2.0
)
except asyncio.TimeoutError:
if self.logger:
self.logger.warning("Some tasks did not complete after cancellation")
# Clear all tracking
self._tasks.clear()
self._task_names.clear()
self._task_created_at.clear()
if self.logger:
self.logger.debug(f"TaskManager '{self.name}' shutdown complete")
def get_stats(self) -> Dict[str, Any]:
"""Get task management statistics."""
return {
'name': self.name,
'active_tasks': len(self._tasks),
'tasks_created': self._stats['tasks_created'],
'tasks_completed': self._stats['tasks_completed'],
'tasks_cancelled': self._stats['tasks_cancelled'],
'tasks_failed': self._stats['tasks_failed'],
'is_shutdown': self._shutdown
}
def get_active_tasks(self) -> Dict[str, Dict[str, Any]]:
"""
Get information about currently active tasks.
Returns:
Dictionary mapping task names to task information
"""
active_tasks = {}
current_time = datetime.now(timezone.utc)
for task in self._tasks:
if task.done():
continue
task_name = self._task_names.get(task, f"task-{id(task)}")
created_at = self._task_created_at.get(task)
age_seconds = (current_time - created_at).total_seconds() if created_at else None
active_tasks[task_name] = {
'task_id': id(task),
'created_at': created_at,
'age_seconds': age_seconds,
'done': task.done(),
'cancelled': task.cancelled()
}
return active_tasks
def __len__(self) -> int:
"""Return the number of active tasks."""
return len(self._tasks)
def __bool__(self) -> bool:
"""Return True if there are active tasks."""
return bool(self._tasks)
def __repr__(self) -> str:
"""String representation of the task manager."""
return f"TaskManager(name='{self.name}', active_tasks={len(self._tasks)}, shutdown={self._shutdown})"