File size: 8,456 Bytes
b70ff07
 
20adca1
 
 
 
b70ff07
 
20adca1
 
 
 
b70ff07
 
 
 
 
 
20adca1
 
b70ff07
20adca1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b70ff07
 
 
20adca1
 
 
 
b70ff07
20adca1
 
 
b70ff07
 
20adca1
 
b70ff07
20adca1
 
 
 
 
 
 
 
 
 
 
b70ff07
20adca1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b70ff07
20adca1
 
 
b70ff07
 
 
 
 
 
20adca1
 
 
 
 
 
 
 
 
 
 
 
 
 
b70ff07
20adca1
b70ff07
20adca1
 
 
 
 
 
 
 
b70ff07
20adca1
 
 
b70ff07
20adca1
 
b70ff07
20adca1
 
 
 
 
 
 
b70ff07
20adca1
b70ff07
20adca1
 
b70ff07
20adca1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
import logging
import sys
import json
import time
import uuid
import traceback
from datetime import datetime
from pathlib import Path
from logging.handlers import RotatingFileHandler, TimedRotatingFileHandler
from typing import Optional, Dict, Any, Union
from contextvars import ContextVar
from functools import wraps
from ..core.config import settings

# Create logs directory if it doesn't exist
logs_dir = Path("logs")
logs_dir.mkdir(exist_ok=True)

# Correlation ID context
correlation_id: ContextVar[str] = ContextVar('correlation_id', default='')

class StructuredFormatter(logging.Formatter):
    """Custom formatter that outputs logs in JSON format"""
    
    def __init__(self):
        super().__init__()
        self.default_fields = {
            'hostname': settings.PROJECT_NAME,
            'version': settings.VERSION
        }

    def format(self, record: logging.LogRecord) -> str:
        message = {
            'timestamp': datetime.utcfromtimestamp(record.created).isoformat(),
            'level': record.levelname,
            'logger': record.name,
            'message': record.getMessage(),
            'correlation_id': correlation_id.get(),
            **self.default_fields
        }

        if hasattr(record, 'duration'):
            message['duration'] = f"{record.duration:.3f}s"

        if hasattr(record, 'request_id'):
            message['request_id'] = record.request_id

        if record.exc_info:
            message['exception'] = {
                'type': record.exc_info[0].__name__,
                'message': str(record.exc_info[1]),
                'stacktrace': traceback.format_exception(*record.exc_info)
            }

        # Add any extra fields
        if hasattr(record, 'extra_fields'):
            message.update(record.extra_fields)

        return json.dumps(message)

class CustomLogger(logging.Logger):
    """Enhanced logger with additional functionality"""
    
    def __init__(self, name: str):
        super().__init__(name)
        self.metrics: Dict[str, Dict[str, Union[int, float]]] = {
            'requests': {'count': 0, 'total_duration': 0},
            'errors': {'count': 0},
            'database': {'operations': 0, 'failures': 0}
        }

    def log_with_context(self, level: int, msg: str, extra_fields: Optional[Dict[str, Any]] = None, **kwargs):
        """Log message with additional context"""
        if extra_fields:
            kwargs['extra'] = {'extra_fields': extra_fields}
        self.log(level, msg, **kwargs)

    def start_operation(self, operation_name: str) -> float:
        """Start timing an operation"""
        return time.time()

    def end_operation(self, start_time: float, operation_name: str, success: bool = True):
        """End timing an operation and log its duration"""
        duration = time.time() - start_time
        self.info(
            f"Operation completed: {operation_name}",
            extra={'extra_fields': {
                'operation': operation_name,
                'duration': duration,
                'success': success
            }}
        )
        return duration

class HealthCheckFilter(logging.Filter):
    """Filter to add health check information to log records"""
    def filter(self, record):
        record.health_check = getattr(record, 'health_check', False)
        return True

def setup_logger(name: str) -> CustomLogger:
    """Set up enhanced logger with multiple handlers and formatters"""
    # Use custom logger class
    logging.setLoggerClass(CustomLogger)
    logger = logging.getLogger(name)
    logger.setLevel(logging.INFO)

    # Structured JSON formatter for file logs
    json_formatter = StructuredFormatter()

    # Console handler with standard formatting
    console_handler = logging.StreamHandler(sys.stdout)
    console_handler.setFormatter(logging.Formatter(
        "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
    ))
    logger.addHandler(console_handler)

    # File handler with JSON formatting and daily rotation
    daily_handler = TimedRotatingFileHandler(
        logs_dir / f"{name}.log",
        when="midnight",
        interval=1,
        backupCount=30,  # Keep a month of logs
        encoding="utf-8"
    )
    daily_handler.setFormatter(json_formatter)
    logger.addHandler(daily_handler)

    # Error file handler for error-level logs
    error_handler = RotatingFileHandler(
        logs_dir / f"{name}_error.log",
        maxBytes=10485760,  # 10MB
        backupCount=10
    )
    error_handler.setLevel(logging.ERROR)
    error_handler.setFormatter(json_formatter)
    logger.addHandler(error_handler)

    # Add health check filter
    logger.addFilter(HealthCheckFilter())

    # Separate file handler for health check logs
    health_handler = TimedRotatingFileHandler(
        logs_dir / f"{name}_health_checks.log",
        when='midnight',
        interval=1,
        backupCount=30
    )
    health_handler.setLevel(logging.INFO)
    health_format = logging.Formatter(
        '%(asctime)s - %(levelname)s - %(message)s - Health: %(health_check)s'
    )
    health_handler.setFormatter(health_format)
    health_handler.addFilter(lambda record: getattr(record, 'health_check', False))
    logger.addHandler(health_handler)

    return logger

# Create main application logger
logger = setup_logger("admin_dashboard")

def with_correlation_id():
    """Decorator to add correlation ID to context"""
    def decorator(func):
        @wraps(func)
        async def wrapper(*args, **kwargs):
            correlation = str(uuid.uuid4())
            token = correlation_id.set(correlation)
            try:
                return await func(*args, **kwargs)
            finally:
                correlation_id.reset(token)
        return wrapper
    return decorator

def log_api_request(method: str, path: str, status_code: int, duration: float):
    """Log API request details with enhanced context"""
    logger.info(
        "API Request",
        extra={'extra_fields': {
            'method': method,
            'path': path,
            'status_code': status_code,
            'duration': duration,
            'timestamp': datetime.utcnow().isoformat()
        }}
    )
    # Update metrics
    logger.metrics['requests']['count'] += 1
    logger.metrics['requests']['total_duration'] += duration

def log_error(error: Exception, context: Optional[Dict] = None):
    """Log error with enhanced context and tracking"""
    logger.error(
        f"Error occurred: {str(error)}",
        exc_info=True,
        extra={'extra_fields': {
            'error_type': type(error).__name__,
            'context': context or {},
            'timestamp': datetime.utcnow().isoformat()
        }}
    )
    logger.metrics['errors']['count'] += 1

def log_database_operation(operation: str, collection: str, success: bool, duration: Optional[float] = None):
    """Log database operations with performance metrics"""
    logger.info(
        "Database Operation",
        extra={'extra_fields': {
            'operation_type': operation,
            'collection': collection,
            'success': success,
            'duration': duration,
            'timestamp': datetime.utcnow().isoformat()
        }}
    )
    logger.metrics['database']['operations'] += 1
    if not success:
        logger.metrics['database']['failures'] += 1

def log_health_check(component: str, status: str, details: dict = None):
    """Log health check results"""
    msg = f"Health Check - {component}: {status}"
    if details:
        msg += f" - Details: {details}"
    logger.info(msg, extra={'health_check': True})

def log_maintenance_activity(activity: str, result: str, details: dict = None):
    """Log maintenance activities"""
    msg = f"Maintenance - {activity}: {result}"
    if details:
        msg += f" - Details: {details}"
    logger.info(msg)

def get_metrics() -> Dict[str, Dict[str, Union[int, float]]]:
    """Get current logging metrics"""
    return logger.metrics

def reset_metrics():
    """Reset all logging metrics"""
    logger.metrics = {
        'requests': {'count': 0, 'total_duration': 0},
        'errors': {'count': 0},
        'database': {'operations': 0, 'failures': 0}
    }