nameko-log-context
Data-driven log filter enabling logging custom fields from worker_ctx
Install
pip install nameko-log-context
Using
config.yml:
...
log_context:
root_call_id: 'lambda worker_ctx: worker_ctx._call_id_stack[0]'
call_id: 'lambda worker_ctx: worker_ctx.call_id'
...
LOGGING:
filters:
log_context:
(): nameko_log_context.LogFilter
handlers:
handler:
filters:
- log_context
formatters:
formatter:
format: '...(root_call_id),(call_id)...'Service:
from nameko_log_context import LogContext
from nameko.rpc import rpc
class SomeService:
log_context = LogContext()
@rpc
def method():
"""
Every log message in this scope including logging in external
packages is tagged with 'root_call_id' and 'call_id'
"""How it works
- Keys and lambda functions are retrieved on dependency provider setup
- Log tags are evaluated in worker_setup on each request and placed in thread-local object
- Log filter adds log tags from thread-local object to every log record
