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"""
Database Manager Module
Provides comprehensive database operations for the crypto API monitoring system
"""
import os
from contextlib import contextmanager
from datetime import datetime, timedelta
from typing import Optional, List, Dict, Any, Tuple
from pathlib import Path
from sqlalchemy import create_engine, func, and_, or_, desc, text
from sqlalchemy.orm import sessionmaker, Session
from sqlalchemy.exc import SQLAlchemyError, IntegrityError
from database.models import (
Base,
Provider,
ConnectionAttempt,
DataCollection,
RateLimitUsage,
ScheduleConfig,
ScheduleCompliance,
FailureLog,
Alert,
SystemMetrics,
ConnectionStatus,
ProviderCategory,
# Crypto data models
MarketPrice,
NewsArticle,
WhaleTransaction,
SentimentMetric,
GasPrice,
BlockchainStat
)
from database.data_access import DataAccessMixin
from utils.logger import setup_logger
# Initialize logger
logger = setup_logger("db_manager", level="INFO")
class DatabaseManager(DataAccessMixin):
"""
Comprehensive database manager for API monitoring system
Handles all database operations with proper error handling and logging
"""
def __init__(self, db_path: str = "data/api_monitor.db"):
"""
Initialize database manager
Args:
db_path: Path to SQLite database file
"""
self.db_path = db_path
self._ensure_data_directory()
# Create SQLAlchemy engine
db_url = f"sqlite:///{self.db_path}"
self.engine = create_engine(
db_url,
echo=False, # Set to True for SQL debugging
connect_args={"check_same_thread": False} # SQLite specific
)
# Create session factory
self.SessionLocal = sessionmaker(
autocommit=False,
autoflush=False,
bind=self.engine,
expire_on_commit=False # Allow access to attributes after commit
)
logger.info(f"Database manager initialized with database: {self.db_path}")
def _ensure_data_directory(self):
"""Ensure the data directory exists"""
data_dir = Path(self.db_path).parent
data_dir.mkdir(parents=True, exist_ok=True)
@contextmanager
def get_session(self) -> Session:
"""
Context manager for database sessions
Automatically handles commit/rollback and cleanup
Yields:
SQLAlchemy session
Example:
with db_manager.get_session() as session:
provider = session.query(Provider).first()
"""
session = self.SessionLocal()
try:
yield session
session.commit()
except Exception as e:
session.rollback()
logger.error(f"Session error: {str(e)}", exc_info=True)
raise
finally:
session.close()
def init_database(self) -> bool:
"""
Initialize database by creating all tables
Returns:
True if successful, False otherwise
"""
try:
Base.metadata.create_all(bind=self.engine)
logger.info("Database tables created successfully")
return True
except SQLAlchemyError as e:
logger.error(f"Failed to initialize database: {str(e)}", exc_info=True)
return False
def drop_all_tables(self) -> bool:
"""
Drop all tables (use with caution!)
Returns:
True if successful, False otherwise
"""
try:
Base.metadata.drop_all(bind=self.engine)
logger.warning("All database tables dropped")
return True
except SQLAlchemyError as e:
logger.error(f"Failed to drop tables: {str(e)}", exc_info=True)
return False
# ============================================================================
# Provider CRUD Operations
# ============================================================================
def create_provider(
self,
name: str,
category: str,
endpoint_url: str,
requires_key: bool = False,
api_key_masked: Optional[str] = None,
rate_limit_type: Optional[str] = None,
rate_limit_value: Optional[int] = None,
timeout_ms: int = 10000,
priority_tier: int = 3
) -> Optional[Provider]:
"""
Create a new provider
Args:
name: Provider name
category: Provider category
endpoint_url: API endpoint URL
requires_key: Whether API key is required
api_key_masked: Masked API key for display
rate_limit_type: Rate limit type (per_minute, per_hour, per_day)
rate_limit_value: Rate limit value
timeout_ms: Timeout in milliseconds
priority_tier: Priority tier (1-4, 1 is highest)
Returns:
Created Provider object or None if failed
"""
try:
with self.get_session() as session:
provider = Provider(
name=name,
category=category,
endpoint_url=endpoint_url,
requires_key=requires_key,
api_key_masked=api_key_masked,
rate_limit_type=rate_limit_type,
rate_limit_value=rate_limit_value,
timeout_ms=timeout_ms,
priority_tier=priority_tier
)
session.add(provider)
session.commit()
session.refresh(provider)
logger.info(f"Created provider: {name}")
return provider
except IntegrityError:
logger.error(f"Provider already exists: {name}")
return None
except SQLAlchemyError as e:
logger.error(f"Failed to create provider {name}: {str(e)}", exc_info=True)
return None
def get_provider(self, provider_id: Optional[int] = None, name: Optional[str] = None) -> Optional[Provider]:
"""
Get a provider by ID or name
Args:
provider_id: Provider ID
name: Provider name
Returns:
Provider object or None if not found
"""
try:
with self.get_session() as session:
if provider_id:
provider = session.query(Provider).filter(Provider.id == provider_id).first()
elif name:
provider = session.query(Provider).filter(Provider.name == name).first()
else:
logger.warning("Either provider_id or name must be provided")
return None
if provider:
session.refresh(provider)
return provider
except SQLAlchemyError as e:
logger.error(f"Failed to get provider: {str(e)}", exc_info=True)
return None
def get_all_providers(self, category: Optional[str] = None, enabled_only: bool = False) -> List[Provider]:
"""
Get all providers with optional filtering
Args:
category: Filter by category
enabled_only: Only return enabled providers (based on schedule_config)
Returns:
List of Provider objects
"""
try:
with self.get_session() as session:
query = session.query(Provider)
if category:
query = query.filter(Provider.category == category)
if enabled_only:
query = query.join(ScheduleConfig).filter(ScheduleConfig.enabled == True)
providers = query.order_by(Provider.priority_tier, Provider.name).all()
# Refresh all providers to ensure data is loaded
for provider in providers:
session.refresh(provider)
return providers
except SQLAlchemyError as e:
logger.error(f"Failed to get providers: {str(e)}", exc_info=True)
return []
def update_provider(self, provider_id: int, **kwargs) -> bool:
"""
Update a provider's attributes
Args:
provider_id: Provider ID
**kwargs: Attributes to update
Returns:
True if successful, False otherwise
"""
try:
with self.get_session() as session:
provider = session.query(Provider).filter(Provider.id == provider_id).first()
if not provider:
logger.warning(f"Provider not found: {provider_id}")
return False
for key, value in kwargs.items():
if hasattr(provider, key):
setattr(provider, key, value)
provider.updated_at = datetime.utcnow()
session.commit()
logger.info(f"Updated provider: {provider.name}")
return True
except SQLAlchemyError as e:
logger.error(f"Failed to update provider {provider_id}: {str(e)}", exc_info=True)
return False
def delete_provider(self, provider_id: int) -> bool:
"""
Delete a provider and all related records
Args:
provider_id: Provider ID
Returns:
True if successful, False otherwise
"""
try:
with self.get_session() as session:
provider = session.query(Provider).filter(Provider.id == provider_id).first()
if not provider:
logger.warning(f"Provider not found: {provider_id}")
return False
provider_name = provider.name
session.delete(provider)
session.commit()
logger.info(f"Deleted provider: {provider_name}")
return True
except SQLAlchemyError as e:
logger.error(f"Failed to delete provider {provider_id}: {str(e)}", exc_info=True)
return False
# ============================================================================
# Connection Attempt Operations
# ============================================================================
def save_connection_attempt(
self,
provider_id: int,
endpoint: str,
status: str,
response_time_ms: Optional[int] = None,
http_status_code: Optional[int] = None,
error_type: Optional[str] = None,
error_message: Optional[str] = None,
retry_count: int = 0,
retry_result: Optional[str] = None
) -> Optional[ConnectionAttempt]:
"""
Save a connection attempt log
Args:
provider_id: Provider ID
endpoint: API endpoint
status: Connection status
response_time_ms: Response time in milliseconds
http_status_code: HTTP status code
error_type: Error type if failed
error_message: Error message if failed
retry_count: Number of retries
retry_result: Result of retry attempt
Returns:
Created ConnectionAttempt object or None if failed
"""
try:
with self.get_session() as session:
attempt = ConnectionAttempt(
provider_id=provider_id,
endpoint=endpoint,
status=status,
response_time_ms=response_time_ms,
http_status_code=http_status_code,
error_type=error_type,
error_message=error_message,
retry_count=retry_count,
retry_result=retry_result
)
session.add(attempt)
session.commit()
session.refresh(attempt)
return attempt
except SQLAlchemyError as e:
logger.error(f"Failed to save connection attempt: {str(e)}", exc_info=True)
return None
def get_connection_attempts(
self,
provider_id: Optional[int] = None,
status: Optional[str] = None,
hours: int = 24,
limit: int = 1000
) -> List[ConnectionAttempt]:
"""
Get connection attempts with filtering
Args:
provider_id: Filter by provider ID
status: Filter by status
hours: Get attempts from last N hours
limit: Maximum number of records to return
Returns:
List of ConnectionAttempt objects
"""
try:
with self.get_session() as session:
cutoff_time = datetime.utcnow() - timedelta(hours=hours)
query = session.query(ConnectionAttempt).filter(
ConnectionAttempt.timestamp >= cutoff_time
)
if provider_id:
query = query.filter(ConnectionAttempt.provider_id == provider_id)
if status:
query = query.filter(ConnectionAttempt.status == status)
attempts = query.order_by(desc(ConnectionAttempt.timestamp)).limit(limit).all()
for attempt in attempts:
session.refresh(attempt)
return attempts
except SQLAlchemyError as e:
logger.error(f"Failed to get connection attempts: {str(e)}", exc_info=True)
return []
# ============================================================================
# Data Collection Operations
# ============================================================================
def save_data_collection(
self,
provider_id: int,
category: str,
scheduled_time: datetime,
actual_fetch_time: datetime,
data_timestamp: Optional[datetime] = None,
staleness_minutes: Optional[float] = None,
record_count: int = 0,
payload_size_bytes: int = 0,
data_quality_score: float = 1.0,
on_schedule: bool = True,
skip_reason: Optional[str] = None
) -> Optional[DataCollection]:
"""
Save a data collection record
Args:
provider_id: Provider ID
category: Data category
scheduled_time: Scheduled collection time
actual_fetch_time: Actual fetch time
data_timestamp: Timestamp from API response
staleness_minutes: Data staleness in minutes
record_count: Number of records collected
payload_size_bytes: Payload size in bytes
data_quality_score: Data quality score (0-1)
on_schedule: Whether collection was on schedule
skip_reason: Reason if skipped
Returns:
Created DataCollection object or None if failed
"""
try:
with self.get_session() as session:
collection = DataCollection(
provider_id=provider_id,
category=category,
scheduled_time=scheduled_time,
actual_fetch_time=actual_fetch_time,
data_timestamp=data_timestamp,
staleness_minutes=staleness_minutes,
record_count=record_count,
payload_size_bytes=payload_size_bytes,
data_quality_score=data_quality_score,
on_schedule=on_schedule,
skip_reason=skip_reason
)
session.add(collection)
session.commit()
session.refresh(collection)
return collection
except SQLAlchemyError as e:
logger.error(f"Failed to save data collection: {str(e)}", exc_info=True)
return None
def get_data_collections(
self,
provider_id: Optional[int] = None,
category: Optional[str] = None,
hours: int = 24,
limit: int = 1000
) -> List[DataCollection]:
"""
Get data collections with filtering
Args:
provider_id: Filter by provider ID
category: Filter by category
hours: Get collections from last N hours
limit: Maximum number of records to return
Returns:
List of DataCollection objects
"""
try:
with self.get_session() as session:
cutoff_time = datetime.utcnow() - timedelta(hours=hours)
query = session.query(DataCollection).filter(
DataCollection.actual_fetch_time >= cutoff_time
)
if provider_id:
query = query.filter(DataCollection.provider_id == provider_id)
if category:
query = query.filter(DataCollection.category == category)
collections = query.order_by(desc(DataCollection.actual_fetch_time)).limit(limit).all()
for collection in collections:
session.refresh(collection)
return collections
except SQLAlchemyError as e:
logger.error(f"Failed to get data collections: {str(e)}", exc_info=True)
return []
# ============================================================================
# Rate Limit Usage Operations
# ============================================================================
def save_rate_limit_usage(
self,
provider_id: int,
limit_type: str,
limit_value: int,
current_usage: int,
reset_time: datetime
) -> Optional[RateLimitUsage]:
"""
Save rate limit usage record
Args:
provider_id: Provider ID
limit_type: Limit type (per_minute, per_hour, per_day)
limit_value: Rate limit value
current_usage: Current usage count
reset_time: When the limit resets
Returns:
Created RateLimitUsage object or None if failed
"""
try:
with self.get_session() as session:
percentage = (current_usage / limit_value * 100) if limit_value > 0 else 0
usage = RateLimitUsage(
provider_id=provider_id,
limit_type=limit_type,
limit_value=limit_value,
current_usage=current_usage,
percentage=percentage,
reset_time=reset_time
)
session.add(usage)
session.commit()
session.refresh(usage)
return usage
except SQLAlchemyError as e:
logger.error(f"Failed to save rate limit usage: {str(e)}", exc_info=True)
return None
def get_rate_limit_usage(
self,
provider_id: Optional[int] = None,
hours: int = 24,
high_usage_only: bool = False,
threshold: float = 80.0
) -> List[RateLimitUsage]:
"""
Get rate limit usage records
Args:
provider_id: Filter by provider ID
hours: Get usage from last N hours
high_usage_only: Only return high usage records
threshold: Percentage threshold for high usage
Returns:
List of RateLimitUsage objects
"""
try:
with self.get_session() as session:
cutoff_time = datetime.utcnow() - timedelta(hours=hours)
query = session.query(RateLimitUsage).filter(
RateLimitUsage.timestamp >= cutoff_time
)
if provider_id:
query = query.filter(RateLimitUsage.provider_id == provider_id)
if high_usage_only:
query = query.filter(RateLimitUsage.percentage >= threshold)
usage_records = query.order_by(desc(RateLimitUsage.timestamp)).all()
for record in usage_records:
session.refresh(record)
return usage_records
except SQLAlchemyError as e:
logger.error(f"Failed to get rate limit usage: {str(e)}", exc_info=True)
return []
# ============================================================================
# Schedule Configuration Operations
# ============================================================================
def create_schedule_config(
self,
provider_id: int,
schedule_interval: str,
enabled: bool = True,
next_run: Optional[datetime] = None
) -> Optional[ScheduleConfig]:
"""
Create schedule configuration for a provider
Args:
provider_id: Provider ID
schedule_interval: Schedule interval (e.g., "every_1_min")
enabled: Whether schedule is enabled
next_run: Next scheduled run time
Returns:
Created ScheduleConfig object or None if failed
"""
try:
with self.get_session() as session:
config = ScheduleConfig(
provider_id=provider_id,
schedule_interval=schedule_interval,
enabled=enabled,
next_run=next_run
)
session.add(config)
session.commit()
session.refresh(config)
logger.info(f"Created schedule config for provider {provider_id}")
return config
except IntegrityError:
logger.error(f"Schedule config already exists for provider {provider_id}")
return None
except SQLAlchemyError as e:
logger.error(f"Failed to create schedule config: {str(e)}", exc_info=True)
return None
def get_schedule_config(self, provider_id: int) -> Optional[ScheduleConfig]:
"""
Get schedule configuration for a provider
Args:
provider_id: Provider ID
Returns:
ScheduleConfig object or None if not found
"""
try:
with self.get_session() as session:
config = session.query(ScheduleConfig).filter(
ScheduleConfig.provider_id == provider_id
).first()
if config:
session.refresh(config)
return config
except SQLAlchemyError as e:
logger.error(f"Failed to get schedule config: {str(e)}", exc_info=True)
return None
def update_schedule_config(self, provider_id: int, **kwargs) -> bool:
"""
Update schedule configuration
Args:
provider_id: Provider ID
**kwargs: Attributes to update
Returns:
True if successful, False otherwise
"""
try:
with self.get_session() as session:
config = session.query(ScheduleConfig).filter(
ScheduleConfig.provider_id == provider_id
).first()
if not config:
logger.warning(f"Schedule config not found for provider {provider_id}")
return False
for key, value in kwargs.items():
if hasattr(config, key):
setattr(config, key, value)
session.commit()
logger.info(f"Updated schedule config for provider {provider_id}")
return True
except SQLAlchemyError as e:
logger.error(f"Failed to update schedule config: {str(e)}", exc_info=True)
return False
def get_all_schedule_configs(self, enabled_only: bool = True) -> List[ScheduleConfig]:
"""
Get all schedule configurations
Args:
enabled_only: Only return enabled schedules
Returns:
List of ScheduleConfig objects
"""
try:
with self.get_session() as session:
query = session.query(ScheduleConfig)
if enabled_only:
query = query.filter(ScheduleConfig.enabled == True)
configs = query.all()
for config in configs:
session.refresh(config)
return configs
except SQLAlchemyError as e:
logger.error(f"Failed to get schedule configs: {str(e)}", exc_info=True)
return []
# ============================================================================
# Schedule Compliance Operations
# ============================================================================
def save_schedule_compliance(
self,
provider_id: int,
expected_time: datetime,
actual_time: Optional[datetime] = None,
delay_seconds: Optional[int] = None,
on_time: bool = True,
skip_reason: Optional[str] = None
) -> Optional[ScheduleCompliance]:
"""
Save schedule compliance record
Args:
provider_id: Provider ID
expected_time: Expected execution time
actual_time: Actual execution time
delay_seconds: Delay in seconds
on_time: Whether execution was on time
skip_reason: Reason if skipped
Returns:
Created ScheduleCompliance object or None if failed
"""
try:
with self.get_session() as session:
compliance = ScheduleCompliance(
provider_id=provider_id,
expected_time=expected_time,
actual_time=actual_time,
delay_seconds=delay_seconds,
on_time=on_time,
skip_reason=skip_reason
)
session.add(compliance)
session.commit()
session.refresh(compliance)
return compliance
except SQLAlchemyError as e:
logger.error(f"Failed to save schedule compliance: {str(e)}", exc_info=True)
return None
def get_schedule_compliance(
self,
provider_id: Optional[int] = None,
hours: int = 24,
late_only: bool = False
) -> List[ScheduleCompliance]:
"""
Get schedule compliance records
Args:
provider_id: Filter by provider ID
hours: Get records from last N hours
late_only: Only return late executions
Returns:
List of ScheduleCompliance objects
"""
try:
with self.get_session() as session:
cutoff_time = datetime.utcnow() - timedelta(hours=hours)
query = session.query(ScheduleCompliance).filter(
ScheduleCompliance.timestamp >= cutoff_time
)
if provider_id:
query = query.filter(ScheduleCompliance.provider_id == provider_id)
if late_only:
query = query.filter(ScheduleCompliance.on_time == False)
compliance_records = query.order_by(desc(ScheduleCompliance.timestamp)).all()
for record in compliance_records:
session.refresh(record)
return compliance_records
except SQLAlchemyError as e:
logger.error(f"Failed to get schedule compliance: {str(e)}", exc_info=True)
return []
# ============================================================================
# Failure Log Operations
# ============================================================================
def save_failure_log(
self,
provider_id: int,
endpoint: str,
error_type: str,
error_message: Optional[str] = None,
http_status: Optional[int] = None,
retry_attempted: bool = False,
retry_result: Optional[str] = None,
remediation_applied: Optional[str] = None
) -> Optional[FailureLog]:
"""
Save failure log record
Args:
provider_id: Provider ID
endpoint: API endpoint
error_type: Type of error
error_message: Error message
http_status: HTTP status code
retry_attempted: Whether retry was attempted
retry_result: Result of retry
remediation_applied: Remediation action taken
Returns:
Created FailureLog object or None if failed
"""
try:
with self.get_session() as session:
failure = FailureLog(
provider_id=provider_id,
endpoint=endpoint,
error_type=error_type,
error_message=error_message,
http_status=http_status,
retry_attempted=retry_attempted,
retry_result=retry_result,
remediation_applied=remediation_applied
)
session.add(failure)
session.commit()
session.refresh(failure)
return failure
except SQLAlchemyError as e:
logger.error(f"Failed to save failure log: {str(e)}", exc_info=True)
return None
def get_failure_logs(
self,
provider_id: Optional[int] = None,
error_type: Optional[str] = None,
hours: int = 24,
limit: int = 1000
) -> List[FailureLog]:
"""
Get failure logs with filtering
Args:
provider_id: Filter by provider ID
error_type: Filter by error type
hours: Get logs from last N hours
limit: Maximum number of records to return
Returns:
List of FailureLog objects
"""
try:
with self.get_session() as session:
cutoff_time = datetime.utcnow() - timedelta(hours=hours)
query = session.query(FailureLog).filter(
FailureLog.timestamp >= cutoff_time
)
if provider_id:
query = query.filter(FailureLog.provider_id == provider_id)
if error_type:
query = query.filter(FailureLog.error_type == error_type)
failures = query.order_by(desc(FailureLog.timestamp)).limit(limit).all()
for failure in failures:
session.refresh(failure)
return failures
except SQLAlchemyError as e:
logger.error(f"Failed to get failure logs: {str(e)}", exc_info=True)
return []
# ============================================================================
# Alert Operations
# ============================================================================
def create_alert(
self,
provider_id: int,
alert_type: str,
message: str,
severity: str = "medium"
) -> Optional[Alert]:
"""
Create an alert
Args:
provider_id: Provider ID
alert_type: Type of alert
message: Alert message
severity: Alert severity (low, medium, high, critical)
Returns:
Created Alert object or None if failed
"""
try:
with self.get_session() as session:
alert = Alert(
provider_id=provider_id,
alert_type=alert_type,
message=message,
severity=severity
)
session.add(alert)
session.commit()
session.refresh(alert)
logger.warning(f"Alert created: {alert_type} - {message}")
return alert
except SQLAlchemyError as e:
logger.error(f"Failed to create alert: {str(e)}", exc_info=True)
return None
def get_alerts(
self,
provider_id: Optional[int] = None,
alert_type: Optional[str] = None,
severity: Optional[str] = None,
acknowledged: Optional[bool] = None,
hours: int = 24
) -> List[Alert]:
"""
Get alerts with filtering
Args:
provider_id: Filter by provider ID
alert_type: Filter by alert type
severity: Filter by severity
acknowledged: Filter by acknowledgment status
hours: Get alerts from last N hours
Returns:
List of Alert objects
"""
try:
with self.get_session() as session:
cutoff_time = datetime.utcnow() - timedelta(hours=hours)
query = session.query(Alert).filter(
Alert.timestamp >= cutoff_time
)
if provider_id:
query = query.filter(Alert.provider_id == provider_id)
if alert_type:
query = query.filter(Alert.alert_type == alert_type)
if severity:
query = query.filter(Alert.severity == severity)
if acknowledged is not None:
query = query.filter(Alert.acknowledged == acknowledged)
alerts = query.order_by(desc(Alert.timestamp)).all()
for alert in alerts:
session.refresh(alert)
return alerts
except SQLAlchemyError as e:
logger.error(f"Failed to get alerts: {str(e)}", exc_info=True)
return []
def acknowledge_alert(self, alert_id: int) -> bool:
"""
Acknowledge an alert
Args:
alert_id: Alert ID
Returns:
True if successful, False otherwise
"""
try:
with self.get_session() as session:
alert = session.query(Alert).filter(Alert.id == alert_id).first()
if not alert:
logger.warning(f"Alert not found: {alert_id}")
return False
alert.acknowledged = True
alert.acknowledged_at = datetime.utcnow()
session.commit()
logger.info(f"Alert acknowledged: {alert_id}")
return True
except SQLAlchemyError as e:
logger.error(f"Failed to acknowledge alert: {str(e)}", exc_info=True)
return False
# ============================================================================
# System Metrics Operations
# ============================================================================
def save_system_metrics(
self,
total_providers: int,
online_count: int,
degraded_count: int,
offline_count: int,
avg_response_time_ms: float,
total_requests_hour: int,
total_failures_hour: int,
system_health: str = "healthy"
) -> Optional[SystemMetrics]:
"""
Save system metrics snapshot
Args:
total_providers: Total number of providers
online_count: Number of online providers
degraded_count: Number of degraded providers
offline_count: Number of offline providers
avg_response_time_ms: Average response time
total_requests_hour: Total requests in last hour
total_failures_hour: Total failures in last hour
system_health: Overall system health
Returns:
Created SystemMetrics object or None if failed
"""
try:
with self.get_session() as session:
metrics = SystemMetrics(
total_providers=total_providers,
online_count=online_count,
degraded_count=degraded_count,
offline_count=offline_count,
avg_response_time_ms=avg_response_time_ms,
total_requests_hour=total_requests_hour,
total_failures_hour=total_failures_hour,
system_health=system_health
)
session.add(metrics)
session.commit()
session.refresh(metrics)
return metrics
except SQLAlchemyError as e:
logger.error(f"Failed to save system metrics: {str(e)}", exc_info=True)
return None
def get_system_metrics(self, hours: int = 24, limit: int = 1000) -> List[SystemMetrics]:
"""
Get system metrics history
Args:
hours: Get metrics from last N hours
limit: Maximum number of records to return
Returns:
List of SystemMetrics objects
"""
try:
with self.get_session() as session:
cutoff_time = datetime.utcnow() - timedelta(hours=hours)
metrics = session.query(SystemMetrics).filter(
SystemMetrics.timestamp >= cutoff_time
).order_by(desc(SystemMetrics.timestamp)).limit(limit).all()
for metric in metrics:
session.refresh(metric)
return metrics
except SQLAlchemyError as e:
logger.error(f"Failed to get system metrics: {str(e)}", exc_info=True)
return []
def get_latest_system_metrics(self) -> Optional[SystemMetrics]:
"""
Get the most recent system metrics
Returns:
Latest SystemMetrics object or None
"""
try:
with self.get_session() as session:
metrics = session.query(SystemMetrics).order_by(
desc(SystemMetrics.timestamp)
).first()
if metrics:
session.refresh(metrics)
return metrics
except SQLAlchemyError as e:
logger.error(f"Failed to get latest system metrics: {str(e)}", exc_info=True)
return None
# ============================================================================
# Advanced Analytics Methods
# ============================================================================
def get_provider_stats(self, provider_id: int, hours: int = 24) -> Dict[str, Any]:
"""
Get comprehensive statistics for a provider
Args:
provider_id: Provider ID
hours: Time window in hours
Returns:
Dictionary with provider statistics
"""
try:
with self.get_session() as session:
cutoff_time = datetime.utcnow() - timedelta(hours=hours)
# Get provider info
provider = session.query(Provider).filter(Provider.id == provider_id).first()
if not provider:
return {}
# Connection attempt stats
connection_stats = session.query(
func.count(ConnectionAttempt.id).label('total_attempts'),
func.sum(func.case((ConnectionAttempt.status == 'success', 1), else_=0)).label('successful'),
func.sum(func.case((ConnectionAttempt.status == 'failed', 1), else_=0)).label('failed'),
func.sum(func.case((ConnectionAttempt.status == 'timeout', 1), else_=0)).label('timeout'),
func.sum(func.case((ConnectionAttempt.status == 'rate_limited', 1), else_=0)).label('rate_limited'),
func.avg(ConnectionAttempt.response_time_ms).label('avg_response_time')
).filter(
ConnectionAttempt.provider_id == provider_id,
ConnectionAttempt.timestamp >= cutoff_time
).first()
# Data collection stats
collection_stats = session.query(
func.count(DataCollection.id).label('total_collections'),
func.sum(DataCollection.record_count).label('total_records'),
func.sum(DataCollection.payload_size_bytes).label('total_bytes'),
func.avg(DataCollection.data_quality_score).label('avg_quality'),
func.avg(DataCollection.staleness_minutes).label('avg_staleness')
).filter(
DataCollection.provider_id == provider_id,
DataCollection.actual_fetch_time >= cutoff_time
).first()
# Failure stats
failure_count = session.query(func.count(FailureLog.id)).filter(
FailureLog.provider_id == provider_id,
FailureLog.timestamp >= cutoff_time
).scalar()
# Calculate success rate
total_attempts = connection_stats.total_attempts or 0
successful = connection_stats.successful or 0
success_rate = (successful / total_attempts * 100) if total_attempts > 0 else 0
return {
'provider_name': provider.name,
'provider_id': provider_id,
'time_window_hours': hours,
'connection_stats': {
'total_attempts': total_attempts,
'successful': successful,
'failed': connection_stats.failed or 0,
'timeout': connection_stats.timeout or 0,
'rate_limited': connection_stats.rate_limited or 0,
'success_rate': round(success_rate, 2),
'avg_response_time_ms': round(connection_stats.avg_response_time or 0, 2)
},
'data_collection_stats': {
'total_collections': collection_stats.total_collections or 0,
'total_records': collection_stats.total_records or 0,
'total_bytes': collection_stats.total_bytes or 0,
'avg_quality_score': round(collection_stats.avg_quality or 0, 2),
'avg_staleness_minutes': round(collection_stats.avg_staleness or 0, 2)
},
'failure_count': failure_count or 0
}
except SQLAlchemyError as e:
logger.error(f"Failed to get provider stats: {str(e)}", exc_info=True)
return {}
def get_failure_analysis(self, hours: int = 24) -> Dict[str, Any]:
"""
Get comprehensive failure analysis across all providers
Args:
hours: Time window in hours
Returns:
Dictionary with failure analysis
"""
try:
with self.get_session() as session:
cutoff_time = datetime.utcnow() - timedelta(hours=hours)
# Failures by error type
error_type_stats = session.query(
FailureLog.error_type,
func.count(FailureLog.id).label('count')
).filter(
FailureLog.timestamp >= cutoff_time
).group_by(FailureLog.error_type).all()
# Failures by provider
provider_stats = session.query(
Provider.name,
func.count(FailureLog.id).label('count')
).join(
FailureLog, Provider.id == FailureLog.provider_id
).filter(
FailureLog.timestamp >= cutoff_time
).group_by(Provider.name).order_by(desc('count')).limit(10).all()
# Retry statistics
retry_stats = session.query(
func.sum(func.case((FailureLog.retry_attempted == True, 1), else_=0)).label('total_retries'),
func.sum(func.case((FailureLog.retry_result == 'success', 1), else_=0)).label('successful_retries')
).filter(
FailureLog.timestamp >= cutoff_time
).first()
total_retries = retry_stats.total_retries or 0
successful_retries = retry_stats.successful_retries or 0
retry_success_rate = (successful_retries / total_retries * 100) if total_retries > 0 else 0
return {
'time_window_hours': hours,
'failures_by_error_type': [
{'error_type': stat.error_type, 'count': stat.count}
for stat in error_type_stats
],
'top_failing_providers': [
{'provider': stat.name, 'failure_count': stat.count}
for stat in provider_stats
],
'retry_statistics': {
'total_retries': total_retries,
'successful_retries': successful_retries,
'retry_success_rate': round(retry_success_rate, 2)
}
}
except SQLAlchemyError as e:
logger.error(f"Failed to get failure analysis: {str(e)}", exc_info=True)
return {}
def get_recent_logs(
self,
log_type: str,
provider_id: Optional[int] = None,
hours: int = 1,
limit: int = 100
) -> List[Dict[str, Any]]:
"""
Get recent logs of specified type with filtering
Args:
log_type: Type of logs (connection, failure, collection, rate_limit)
provider_id: Filter by provider ID
hours: Get logs from last N hours
limit: Maximum number of records
Returns:
List of log dictionaries
"""
try:
cutoff_time = datetime.utcnow() - timedelta(hours=hours)
if log_type == 'connection':
attempts = self.get_connection_attempts(provider_id=provider_id, hours=hours, limit=limit)
return [
{
'id': a.id,
'timestamp': a.timestamp.isoformat(),
'provider_id': a.provider_id,
'endpoint': a.endpoint,
'status': a.status,
'response_time_ms': a.response_time_ms,
'http_status_code': a.http_status_code,
'error_type': a.error_type,
'error_message': a.error_message
}
for a in attempts
]
elif log_type == 'failure':
failures = self.get_failure_logs(provider_id=provider_id, hours=hours, limit=limit)
return [
{
'id': f.id,
'timestamp': f.timestamp.isoformat(),
'provider_id': f.provider_id,
'endpoint': f.endpoint,
'error_type': f.error_type,
'error_message': f.error_message,
'http_status': f.http_status,
'retry_attempted': f.retry_attempted,
'retry_result': f.retry_result
}
for f in failures
]
elif log_type == 'collection':
collections = self.get_data_collections(provider_id=provider_id, hours=hours, limit=limit)
return [
{
'id': c.id,
'provider_id': c.provider_id,
'category': c.category,
'scheduled_time': c.scheduled_time.isoformat(),
'actual_fetch_time': c.actual_fetch_time.isoformat(),
'record_count': c.record_count,
'payload_size_bytes': c.payload_size_bytes,
'data_quality_score': c.data_quality_score,
'on_schedule': c.on_schedule
}
for c in collections
]
elif log_type == 'rate_limit':
usage = self.get_rate_limit_usage(provider_id=provider_id, hours=hours)
return [
{
'id': u.id,
'timestamp': u.timestamp.isoformat(),
'provider_id': u.provider_id,
'limit_type': u.limit_type,
'limit_value': u.limit_value,
'current_usage': u.current_usage,
'percentage': u.percentage,
'reset_time': u.reset_time.isoformat()
}
for u in usage[:limit]
]
else:
logger.warning(f"Unknown log type: {log_type}")
return []
except Exception as e:
logger.error(f"Failed to get recent logs: {str(e)}", exc_info=True)
return []
def cleanup_old_data(self, days: int = 30) -> Dict[str, int]:
"""
Remove old records from the database to manage storage
Args:
days: Remove records older than N days
Returns:
Dictionary with count of deleted records per table
"""
try:
with self.get_session() as session:
cutoff_time = datetime.utcnow() - timedelta(days=days)
deleted_counts = {}
# Clean connection attempts
deleted = session.query(ConnectionAttempt).filter(
ConnectionAttempt.timestamp < cutoff_time
).delete()
deleted_counts['connection_attempts'] = deleted
# Clean data collections
deleted = session.query(DataCollection).filter(
DataCollection.actual_fetch_time < cutoff_time
).delete()
deleted_counts['data_collections'] = deleted
# Clean rate limit usage
deleted = session.query(RateLimitUsage).filter(
RateLimitUsage.timestamp < cutoff_time
).delete()
deleted_counts['rate_limit_usage'] = deleted
# Clean schedule compliance
deleted = session.query(ScheduleCompliance).filter(
ScheduleCompliance.timestamp < cutoff_time
).delete()
deleted_counts['schedule_compliance'] = deleted
# Clean failure logs
deleted = session.query(FailureLog).filter(
FailureLog.timestamp < cutoff_time
).delete()
deleted_counts['failure_logs'] = deleted
# Clean acknowledged alerts
deleted = session.query(Alert).filter(
and_(
Alert.timestamp < cutoff_time,
Alert.acknowledged == True
)
).delete()
deleted_counts['alerts'] = deleted
# Clean system metrics
deleted = session.query(SystemMetrics).filter(
SystemMetrics.timestamp < cutoff_time
).delete()
deleted_counts['system_metrics'] = deleted
session.commit()
total_deleted = sum(deleted_counts.values())
logger.info(f"Cleaned up {total_deleted} old records (older than {days} days)")
return deleted_counts
except SQLAlchemyError as e:
logger.error(f"Failed to cleanup old data: {str(e)}", exc_info=True)
return {}
def get_database_stats(self) -> Dict[str, Any]:
"""
Get database statistics
Returns:
Dictionary with database statistics
"""
try:
with self.get_session() as session:
stats = {
'providers': session.query(func.count(Provider.id)).scalar(),
'connection_attempts': session.query(func.count(ConnectionAttempt.id)).scalar(),
'data_collections': session.query(func.count(DataCollection.id)).scalar(),
'rate_limit_usage': session.query(func.count(RateLimitUsage.id)).scalar(),
'schedule_configs': session.query(func.count(ScheduleConfig.id)).scalar(),
'schedule_compliance': session.query(func.count(ScheduleCompliance.id)).scalar(),
'failure_logs': session.query(func.count(FailureLog.id)).scalar(),
'alerts': session.query(func.count(Alert.id)).scalar(),
'system_metrics': session.query(func.count(SystemMetrics.id)).scalar(),
}
# Get database file size if it exists
if os.path.exists(self.db_path):
stats['database_size_mb'] = round(os.path.getsize(self.db_path) / (1024 * 1024), 2)
else:
stats['database_size_mb'] = 0
return stats
except SQLAlchemyError as e:
logger.error(f"Failed to get database stats: {str(e)}", exc_info=True)
return {}
def health_check(self) -> Dict[str, Any]:
"""
Perform database health check
Returns:
Dictionary with health check results
"""
try:
with self.get_session() as session:
# Test connection with a simple query
result = session.execute(text("SELECT 1")).scalar()
# Get stats
stats = self.get_database_stats()
return {
'status': 'healthy' if result == 1 else 'unhealthy',
'database_path': self.db_path,
'database_exists': os.path.exists(self.db_path),
'stats': stats,
'timestamp': datetime.utcnow().isoformat()
}
except Exception as e:
logger.error(f"Health check failed: {str(e)}", exc_info=True)
return {
'status': 'unhealthy',
'error': str(e),
'timestamp': datetime.utcnow().isoformat()
}
# ============================================================================
# Global Database Manager Instance
# ============================================================================
# Create a global instance (can be reconfigured as needed)
db_manager = DatabaseManager()
# ============================================================================
# Convenience Functions
# ============================================================================
def init_db(db_path: str = "data/api_monitor.db") -> DatabaseManager:
"""
Initialize database and return manager instance
Args:
db_path: Path to database file
Returns:
DatabaseManager instance
"""
manager = DatabaseManager(db_path=db_path)
manager.init_database()
logger.info("Database initialized successfully")
return manager
if __name__ == "__main__":
# Example usage and testing
print("Database Manager Module")
print("=" * 80)
# Initialize database
manager = init_db()
# Run health check
health = manager.health_check()
print(f"\nHealth Check: {health['status']}")
print(f"Database Stats: {health.get('stats', {})}")
# Get database statistics
stats = manager.get_database_stats()
print(f"\nDatabase Statistics:")
for table, count in stats.items():
if table != 'database_size_mb':
print(f" {table}: {count}")
print(f" Database Size: {stats.get('database_size_mb', 0)} MB")
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