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LLDB script to visualise Odin slices, maps, and strings
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plpgsql function returning a trigger which duplicates INSERT/UPDATE/DELETE activity to a second partitioned table. Requires inputting correct table names & column values for use.
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FastAPI and Uvicorn Logging #python #fastapi #uvicorn #logging
FastAPI and Uvicorn Logging
When running FastAPI app, all the logs in console are from Uvicorn and they do not have timestamp and other useful information. As Uvicorn applies python logging module, we can override Uvicorn logging formatter by applying a new logging configuration.
Meanwhile, it's able to unify the your endpoints logging with the Uvicorn logging by configuring all of them in the config file log_conf.yaml.
Logging setup for FastAPI, Uvicorn and Structlog (with Datadog integration)
Logging setup for FastAPI
This logging setup configures Structlog to output pretty logs in development, and JSON log lines in production.
Then, you can use Structlog loggers or standard logging loggers, and they both will be processed by the Structlog pipeline (see the hello() endpoint for reference). That way any log generated by your dependencies will also be processed and enriched, even if they know nothing about Structlog!
Requests are assigned a correlation ID with the asgi-correlation-id middleware (either captured from incoming request or generated on the fly).
All logs are linked to the correlation ID, and to the Datadog trace/span if instrumented.
This data "global to the request" is stored in context vars, and automatically added to all logs produced during the request thanks to Structlog.
You can add to these "global local variables" at any point in an endpoint with `structlog.contextvars.bind_contextvars(custom
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