fix: resolve CI failures from workflow rewrite
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Fixes based on first CI run results:

Workflow fixes:
- python-tests.yml: Add pytest-timeout and click to pip install
  (--timeout=30 unrecognized, conftest.py needs click)
- integration-tests.yml: Add click, pytest-timeout to pip install
  Fix systemctl status capture (multiline output in subshell)
- systemd-sync.yml: Fix printf output — $(cmd || echo) captures
  multiline; use $(cmd) || var=fallback instead
- test_api_endpoints.py: Count 404/405 as reachable in perf test
  (APIs return 404 on root but are running)

Missing module fixes:
- aitbc-agent-sdk: Create compute_consumer.py and platform_builder.py
  (__init__.py imported them but files didn't exist)
- aitbc-core: Create logging.py module with StructuredLogFormatter,
  setup_logger, get_audit_logger (tests existed but module was missing)
  Fix __init__.py duplicate imports
This commit is contained in:
aitbc1
2026-03-29 12:53:26 +02:00
parent 2d2b261384
commit 1f932d42e3
8 changed files with 225 additions and 11 deletions

View File

@@ -2,10 +2,6 @@
AITBC Core Utilities
"""
from . import logging
__all__ = ["logging"]
from . import logging
from . import logging # noqa: F811 — aitbc.logging submodule, not stdlib
__all__ = ["logging"]

View File

@@ -0,0 +1,87 @@
"""
AITBC Structured Logging Module
Provides JSON-formatted structured logging for all AITBC services.
"""
import json
import logging
import sys
from datetime import datetime, timezone
from typing import Optional
class StructuredLogFormatter(logging.Formatter):
"""JSON structured log formatter for AITBC services."""
def __init__(self, service_name: str, env: str = "production"):
super().__init__()
self.service_name = service_name
self.env = env
def format(self, record: logging.LogRecord) -> str:
log_data = {
"timestamp": datetime.now(timezone.utc).isoformat(),
"service": self.service_name,
"env": self.env,
"level": record.levelname,
"logger": record.name,
"message": record.getMessage(),
}
if record.exc_info and record.exc_info[0] is not None:
log_data["exception"] = self.formatException(record.exc_info)
# Include extra fields
skip_fields = {
"name", "msg", "args", "created", "relativeCreated",
"exc_info", "exc_text", "stack_info", "lineno", "funcName",
"pathname", "filename", "module", "levelno", "levelname",
"msecs", "thread", "threadName", "process", "processName",
"taskName", "message",
}
for key, value in record.__dict__.items():
if key not in skip_fields and not key.startswith("_"):
try:
json.dumps(value)
log_data[key] = value
except (TypeError, ValueError):
log_data[key] = str(value)
return json.dumps(log_data)
def setup_logger(
name: str,
service_name: str,
env: str = "production",
level: int = logging.INFO,
log_file: Optional[str] = None,
) -> logging.Logger:
"""Set up a structured logger for an AITBC service."""
logger = logging.getLogger(name)
logger.setLevel(level)
# Remove existing handlers to avoid duplicates
logger.handlers.clear()
formatter = StructuredLogFormatter(service_name=service_name, env=env)
# Console handler (stdout)
console_handler = logging.StreamHandler(sys.stdout)
console_handler.setFormatter(formatter)
logger.addHandler(console_handler)
# Optional file handler
if log_file:
file_handler = logging.FileHandler(log_file)
file_handler.setFormatter(formatter)
logger.addHandler(file_handler)
return logger
def get_audit_logger(service_name: str, env: str = "production") -> logging.Logger:
"""Get or create an audit logger for a service."""
audit_name = f"{service_name}.audit"
return setup_logger(name=audit_name, service_name=service_name, env=env)