Files
team-tryouts/app/logging_config.py
T
GGThedandClaude Opus 5 7cec18c139 style: formater le depot avec ruff format
QUA-002, premiere moitie. **Ce commit ne fait que reformater** : aucun
changement de comportement, aucune ligne de logique touchee. 72 fichiers,
4 restaient deja conformes. Il est isole exprès, pour que `git log -p` sur
les commits voisins reste lisible.

`quote-style = "preserve"` etait deja pose dans pyproject.toml, ce qui
evite le brassage guillemets simples / doubles : le diff porte sur les
retours a la ligne, l indentation des appels longs et les virgules
finales, pas sur le style de chaine.

Verification : 263 tests passent avant et apres, ruff check propre.

L activation en CI arrive dans le commit suivant, separement, pour que ce
diff-ci ne contienne rien d autre.

Co-Authored-By: Claude Opus 5 <[email protected]>
2026-08-08 15:53:10 -04:00

221 lines
8.2 KiB
Python

"""Structured logging configuration for the Team Tryouts application.
This module configures rotating file handlers for application logs,
with separate files for errors, authentication events, and general logs.
Sensitive data (passwords, tokens) is automatically filtered out.
Usage:
from logging_config import configure_logging
configure_logging(app)
"""
import logging
import os
from logging.handlers import RotatingFileHandler
import re
class SensitiveDataFilter(logging.Filter):
"""Logging filter that redacts sensitive information from log messages.
Filters out: passwords, API keys, session tokens, and other secrets
that might accidentally be logged.
"""
# Patterns to redact
SENSITIVE_PATTERNS = [
(
re.compile(
r'(?:password|passwd|secret|token|api[_-]?key)\s*[:=]\s*[^\s,;)]+', re.IGNORECASE
),
'[REDACTED]',
),
(
re.compile(
r'(?:password|passwd|secret|token|api[_-]?key)\s*[:=]\s*"[^"]*"', re.IGNORECASE
),
lambda m: m.group(0).split('=')[0] + '="[REDACTED]"',
),
(re.compile(r'Authorization[:\s]+[^\s]+', re.IGNORECASE), 'Authorization: [REDACTED]'),
(re.compile(r'Bearer\s+[^\s]+', re.IGNORECASE), 'Bearer [REDACTED]'),
]
def filter(self, record):
"""Apply redaction to the log record's fully rendered message.
The record is rendered first (msg % args) and the result stored back
as msg with args cleared. Redacting record.msg alone would miss almost
everything: this codebase logs with %s placeholders, so the sensitive
value lives in record.args while record.msg holds only the format
string.
Args:
record: The log record to filter.
Returns:
bool: Always True (never drops records, only redacts).
"""
try:
rendered = record.getMessage()
except Exception:
# A malformed format string must not lose the record entirely.
return True
for pattern, replacement in self.SENSITIVE_PATTERNS:
rendered = pattern.sub(replacement, rendered)
record.msg = rendered
record.args = ()
return True
def configure_logging(app):
"""Configure structured logging for the Flask application.
Sets up three rotating file handlers:
- errors.log: ERROR and CRITICAL level messages
- auth.log: Authentication-related events (INFO and above)
- app.log: All application logs (DEBUG and above, configurable)
Also configures console output for development.
Args:
app: The Flask application instance to configure logging for.
"""
log_dir = os.path.join(os.getcwd(), 'logs')
os.makedirs(log_dir, exist_ok=True)
# Remove default Flask handlers to avoid duplicate logging
app.logger.handlers.clear()
# Set base log level from environment (default: INFO)
log_level_name = os.getenv('LOG_LEVEL', 'INFO').upper()
log_level = getattr(logging, log_level_name, logging.INFO)
app.logger.setLevel(log_level)
# Create the sensitive data filter
sensitive_filter = SensitiveDataFilter()
# Formatter with timestamp, level, module, and message
formatter = logging.Formatter(
'[%(asctime)s] %(levelname)s [%(name)s:%(lineno)d] %(message)s', datefmt='%Y-%m-%d %H:%M:%S'
)
# -------------------------------------------------------------------------
# 1. Error Log Handler
# -------------------------------------------------------------------------
error_handler = RotatingFileHandler(
os.path.join(log_dir, 'errors.log'),
maxBytes=10 * 1024 * 1024, # 10 MB
backupCount=10,
)
error_handler.setLevel(logging.ERROR)
error_handler.setFormatter(formatter)
error_handler.addFilter(sensitive_filter)
app.logger.addHandler(error_handler)
# -------------------------------------------------------------------------
# 2. Authentication Log Handler
# -------------------------------------------------------------------------
auth_handler = RotatingFileHandler(
os.path.join(log_dir, 'auth.log'),
maxBytes=10 * 1024 * 1024, # 10 MB
backupCount=5,
)
auth_handler.setLevel(logging.INFO)
auth_handler.setFormatter(formatter)
auth_handler.addFilter(sensitive_filter)
# Create a named logger specifically for auth events
auth_logger = logging.getLogger('team_tryouts.auth')
auth_logger.setLevel(logging.INFO)
auth_logger.addHandler(auth_handler)
auth_logger.propagate = False # Don't double-log to root
# -------------------------------------------------------------------------
# 3. Application Log Handler (general)
# -------------------------------------------------------------------------
app_handler = RotatingFileHandler(
os.path.join(log_dir, 'app.log'),
maxBytes=10 * 1024 * 1024, # 10 MB
backupCount=10,
)
app_handler.setLevel(log_level)
app_handler.setFormatter(formatter)
app_handler.addFilter(sensitive_filter)
app.logger.addHandler(app_handler)
# -------------------------------------------------------------------------
# 4. Console Handler (always on)
# -------------------------------------------------------------------------
# Previously gated on FLASK_DEBUG, which meant production emitted nothing
# on stdout — precisely where the Pterodactyl console looks. Keep the
# handler unconditional and vary the level instead.
debug_mode = os.getenv('FLASK_DEBUG', 'false').lower() == 'true'
console_handler = logging.StreamHandler()
console_handler.setLevel(logging.DEBUG if debug_mode else log_level)
console_handler.setFormatter(formatter)
console_handler.addFilter(sensitive_filter)
app.logger.addHandler(console_handler)
# -------------------------------------------------------------------------
# 5. Package logger ('app.*') — notably app.discord_bot
# -------------------------------------------------------------------------
# Modules using logging.getLogger(__name__) resolve to 'app.<module>'.
# Without handlers here their INFO records were dropped entirely and
# WARNING+ fell through to Python's lastResort handler, unformatted.
package_logger = logging.getLogger('app')
package_logger.setLevel(log_level)
package_logger.propagate = False
for handler in (error_handler, app_handler, console_handler):
if handler not in package_logger.handlers:
package_logger.addHandler(handler)
# Log startup information
app.logger.info('Logging configured - Level: %s, Log directory: %s', log_level_name, log_dir)
app.logger.info('Application startup')
return app.logger
# Module-level auth logger factory
def get_auth_logger():
"""Get the authentication event logger.
Returns:
logging.Logger: Logger for authentication events.
"""
return logging.getLogger('team_tryouts.auth')
def log_auth_event(event, **fields):
"""Record a security-relevant event to auth.log.
The handler, its rotation and its redaction filter were configured from
the start, but get_auth_logger was never imported anywhere: auth.log was
created and stayed empty. No login, failure, lockout, role change or
account deletion left any trace.
Fields are emitted as `key=value` pairs, ordered, so the file stays
greppable without pulling in a JSON logging dependency.
Note on `ip`: it is taken from request.remote_addr, which reflects
X-Forwarded-For. As long as Waitress runs with trusted_proxy='*'
(SEC-WEB-002), that value is attacker-controlled and must be read as an
indication rather than as evidence.
Args:
event: Dotted event name, e.g. 'login.success'.
**fields: Additional context. Never pass a secret: values are
recorded verbatim apart from the redaction filter's patterns.
"""
from flask import has_request_context, request
parts = ['event=%s' % event]
if has_request_context():
parts.append('ip=%s' % request.remote_addr)
parts.append('path=%s' % request.path)
parts.extend('%s=%s' % (key, value) for key, value in fields.items())
get_auth_logger().info(' '.join(parts))