electric-spinning-compass

Session ID

b2c3d4e5-f6a7-8901-bcde-f12345678901

Working directory /home/you/projects/api-client

Started 2026-02-03T09:15:02.345Z

Ended 2026-02-03T09:16:16.123Z

Messages 5 user / 5 assistant

Tool calls 3

Resume in Claude Code

cd /home/you/projects/api-client

claude --resume b2c3d4e5-f6a7-8901-bcde-f12345678901

Human09:15:02

Can you add structured logging to client.py? I want to log every request and response with the method, URL, status code, and duration. Use Python's standard logging module, not print statements.

🔧Read▼

file_path:

/home/you/projects/api-client/client.py

↩Result: Read▼

import requests
import time
from typing import Any, Dict, Optional

BASE_URL = 'https://api.example.com/v1'
DEFAULT_TIMEOUT = 30


class APIClient:
    def __init__(self, api_key: str, base_url: str = BASE_URL):
        self.api_key = api_key
        self.base_url = base_url
        self.session = requests.Session()
        self.session.headers.update({
            'Authorization': f'Bearer {api_key}',
            'Content-Type': 'application/json',
            'Accept': 'application/json',
        })

    def _request(
        self,
        method: str,
        endpoint: str,
        payload: Optional[Dict[str, Any]] = None,
        params: Optional[Dict[str, Any]] = None,
    ) -> Dict[str, Any]:
        url = f'{self.base_url}{endpoint}'
        response = self.session.request(
            method,
            url,
            json=payload,
            params=params,
            timeout=DEFAULT_TIMEOUT,
        )
        response.raise_for_status()
        return response.json()

    def get_user(self, user_id: int) -> Dict[str, Any]:
        return self._request('GET', f'/users/{user_id}')

    def create_resource(self, data: Dict[str, Any]) -> Dict[str, Any]:
        return self._request('POST', '/resources', payload=data)

    def update_resource(self, resource_id: int, data: Dict[str, Any]) -> Dict[str, Any]:
        return self._request('PATCH', f'/resources/{resource_id}', payload=data)

    def delete_resource(self, resource_id: int) -> None:
        self._request('DELETE', f'/resources/{resource_id}')

🔧Edit▼

file_path:

/home/you/projects/api-client/client.py

old_string:

import requests
import time
from typing import Any, Dict, Optional

BASE_URL = 'https://api.example.com/v1'
DEFAULT_TIMEOUT = 30


class APIClient:
    def __init__(self, api_key: str, base_url: str = BASE_URL):
        self.api_key = api_key
        self.base_url = base_url
        self.session = requests.Session()
        self.session.headers.update({
            'Authorization': f'Bearer {api_key}',
            'Content-Type': 'application/json',
            'Accept': 'application/json',
        })

    def _request(
        self,
        method: str,
        endpoint: str,
        payload: Optional[Dict[str, Any]] = None,
        params: Optional[Dict[str, Any]] = None,
    ) -> Dict[str, Any]:
        url = f'{self.base_url}{endpoint}'
        response = self.session.request(
            method,
            url,
            json=payload,
            params=params,
            timeout=DEFAULT_TIMEOUT,
        )
        response.raise_for_status()
        return response.json()

new_string:

import logging
import requests
import time
from typing import Any, Dict, Optional

BASE_URL = 'https://api.example.com/v1'
DEFAULT_TIMEOUT = 30

logger = logging.getLogger(__name__)


class APIClient:
    def __init__(self, api_key: str, base_url: str = BASE_URL):
        self.api_key = api_key
        self.base_url = base_url
        self.session = requests.Session()
        self.session.headers.update({
            'Authorization': f'Bearer {api_key}',
            'Content-Type': 'application/json',
            'Accept': 'application/json',
        })

    def _request(
        self,
        method: str,
        endpoint: str,
        payload: Optional[Dict[str, Any]] = None,
        params: Optional[Dict[str, Any]] = None,
    ) -> Dict[str, Any]:
        url = f'{self.base_url}{endpoint}'
        logger.debug(
            'API request',
            extra={'method': method, 'url': url, 'params': params},
        )
        start = time.monotonic()
        try:
            response = self.session.request(
                method,
                url,
                json=payload,
                params=params,
                timeout=DEFAULT_TIMEOUT,
            )
            duration_ms = (time.monotonic() - start) * 1000
            logger.info(
                'API response',
                extra={
                    'method': method,
                    'url': url,
                    'status_code': response.status_code,
                    'duration_ms': round(duration_ms, 2),
                },
            )
            response.raise_for_status()
            return response.json()
        except requests.HTTPError as exc:
            duration_ms = (time.monotonic() - start) * 1000
            logger.error(
                'API request failed',
                extra={
                    'method': method,
                    'url': url,
                    'status_code': exc.response.status_code,
                    'duration_ms': round(duration_ms, 2),
                },
                exc_info=True,
            )
            raise

↩Result: Edit▼

The file was edited successfully.

Claude09:15:18in:1850 | out:265 tokens

Done. Here's a summary of what was added to _request:

- import logging at the top, plus a module-level logger = logging.getLogger(__name__) so the logger name matches the module path (e.g. api_client.client).
- Before the request: a DEBUG-level log with the method and URL (debug so it doesn't flood production logs but is available when you need it).
- After a successful response: an INFO-level log with method, URL, HTTP status code, and wall-clock duration in milliseconds.
- On HTTPError: an ERROR-level log with the same fields plus exc_info=True so the traceback is captured, then the exception is re-raised so callers still see it.

Timing uses time.monotonic() which is immune to clock adjustments.

To enable the logs in your application, configure a handler somewhere in your entry point — for example:

import logging
logging.basicConfig(
    level=logging.DEBUG,
    format='{"time": "%(asctime)s", "level": "%(levelname)s", "msg": "%(message)s", "method": "%(method)s", "url": "%(url)s", "status": "%(status_code)s", "duration_ms": %(duration_ms)s}',
)

Or use a JSON logging library like python-json-logger for proper structured output.

Turn duration: 14.2s

Human09:16:10

This looks great. One thing — the debug log before the request doesn't include duration_ms (which makes sense), but can you make the log field names consistent? I'd like both logs to always emit method, url, status_code, and duration_ms, using null for fields that aren't known yet.

🔧Edit▼

file_path:

/home/you/projects/api-client/client.py

old_string:

        logger.debug(
            'API request',
            extra={'method': method, 'url': url, 'params': params},
        )

new_string:

        logger.debug(
            'API request',
            extra={
                'method': method,
                'url': url,
                'status_code': None,
                'duration_ms': None,
            },
        )

↩Result: Edit▼

The file was edited successfully.

Claude09:16:16in:2120 | out:55 tokens

Updated. The pre-request debug log now always emits all four fields, with status_code: null and duration_ms: null as placeholders. This makes it straightforward to filter or aggregate logs by field name without worrying about missing keys.

Turn duration: 5.9s