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        "description": "# starlette_exporter\n\n## Prometheus exporter for Starlette and FastAPI\n\nstarlette_exporter collects basic metrics for Starlette and FastAPI based applications:\n\n* starlette_requests_total: a counter representing the total requests\n* starlette_request_duration_seconds: a histogram representing the distribution of request response times\n* starlette_requests_in_progress: a gauge that keeps track of how many concurrent requests are being processed\n\nMetrics include labels for the HTTP method, the path, and the response status code.\n\n```\nstarlette_requests_total{method=\"GET\",path=\"/\",status_code=\"200\"} 1.0\nstarlette_request_duration_seconds_bucket{le=\"0.01\",method=\"GET\",path=\"/\",status_code=\"200\"} 1.0\n```\n\nUse the HTTP handler `handle_metrics` at path `/metrics` to expose a metrics endpoint to Prometheus.\n\n## Table of Contents\n\n1. [Usage](#usage)\n    1. [Starlette](#starlette)\n    1. [FastAPI](#fastapi)\n1. [Options](#options)\n1. [Custom metrics](#custom-metrics)\n1. [Multiprocess mode (gunicorn deployments)](#multiprocess-mode-gunicorn-deployments)\n1. [Developing](#developing)\n1. [License](#license)\n\n## Usage\n\n```sh\npip install starlette_exporter\n```\n\n### Starlette\n\n```python\nfrom starlette.applications import Starlette\nfrom starlette_exporter import PrometheusMiddleware, handle_metrics\n\napp = Starlette()\napp.add_middleware(PrometheusMiddleware)\napp.add_route(\"/metrics\", handle_metrics)\n\n...\n```\n\n### FastAPI\n\n```python\nfrom fastapi import FastAPI\nfrom starlette_exporter import PrometheusMiddleware, handle_metrics\n\napp = FastAPI()\napp.add_middleware(PrometheusMiddleware)\napp.add_route(\"/metrics\", handle_metrics)\n\n...\n```\n\n## Options\n\n`app_name`: Sets the value of the `app_name` label for exported metrics (default: `starlette`).\n\n`prefix`: Sets the prefix of the exported metric names (default: `starlette`).\n\n`group_paths`: setting this to `True` will populate the path label using named parameters (if any) in the router path, e.g. `/api/v1/items/{item_id}`.  This will group requests together by endpoint (regardless of the value of `item_id`). This option may come with a performance hit for larger routers. Default is `False`, which will result in separate metrics for different URLs (e.g., `/api/v1/items/42`, `/api/v1/items/43`, etc.).\n\n`filter_unhandled_paths`: setting this to `True` will cause the middleware to ignore requests with unhandled paths (in other words, 404 errors). This helps prevent filling up the metrics with 404 errors and/or intentially bad requests. Default is `False`.\n\n`buckets`: accepts an optional list of numbers to use as histogram buckets. The default value is `None`, which will cause the library to fall back on the Prometheus defaults (currently `[0.01, 0.025, 0.05, 0.075, 0.1, 0.25, 0.5, 0.75, 1.0, 2.5, 5.0, 7.5, 10.0]`).\n\n`skip_paths`: accepts an optional list of paths that will not collect metrics. The default value is `None`, which will cause the library to collect metrics on every requested path. This option is useful to avoid collecting metrics on health check, readiness or liveness probe endpoints.\n\nExample:\n```python\napp.add_middleware(PrometheusMiddleware, app_name=\"hello_world\", group_paths=True, prefix='myapp', buckets=[0.1, 0.25, 0.5], skip_paths=['/health'])\n```\n\n## Custom Metrics\n\nstarlette_exporter will export all the prometheus metrics from the process, so custom metrics can be created by using the prometheus_client API.\n\n#### Example:\n\n```python\nfrom prometheus_client import Counter\nfrom starlette.responses import RedirectResponse\n\nREDIRECT_COUNT = Counter(\"redirect_total\", \"Count of redirects\", [\"redirected_from\"])\n\nasync def some_view(request):\n    REDIRECT_COUNT.labels(\"some_view\").inc()\n    return RedirectResponse(url=\"https://example.com\", status_code=302)\n```\n\nThe new metric will now be included in the the `/metrics` endpoint output:\n\n```\n...\nredirect_total{redirected_from=\"some_view\"} 2.0\n...\n```\n\n## Multiprocess mode (gunicorn deployments)\n\nRunning starlette_exporter in a multiprocess deployment (e.g. with gunicorn) will need the `PROMETHEUS_MULTIPROC_DIR` env variable set, as well as extra gunicorn config.\n\nFor more information, see the [Prometheus Python client documentation](https://github.com/prometheus/client_python#multiprocess-mode-eg-gunicorn).\n\n## Developing\n\nThis package supports Python 3.6+.\n\n```sh\ngit clone https://github.com/stephenhillier/starlette_exporter\ncd starlette_exporter\npytest tests\n```\n\n## License\n\nCode released under the [Apache License, Version 2.0](./LICENSE).\n\n\n## Dependencies\n\nhttps://github.com/prometheus/client_python\n\nhttps://github.com/encode/starlette\n\n## Credits\n\nStarlette - https://github.com/encode/starlette\n\nFastAPI - https://github.com/tiangolo/fastapi\n\nFlask exporter - https://github.com/rycus86/prometheus_flask_exporter\n\nAlternate Starlette exporter - https://github.com/perdy/starlette-prometheus\n\n\n",
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