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https://github.com/trallnag/prometheus-flask-instrumentator
Small package to instrument your Flask app transparently
https://github.com/trallnag/prometheus-flask-instrumentator
flask instrumentation metrics prometheus
Last synced: 6 days ago
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Small package to instrument your Flask app transparently
- Host: GitHub
- URL: https://github.com/trallnag/prometheus-flask-instrumentator
- Owner: trallnag
- License: mit
- Created: 2020-06-19T18:09:20.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2022-05-16T22:14:31.000Z (over 2 years ago)
- Last Synced: 2024-09-19T14:38:15.003Z (14 days ago)
- Topics: flask, instrumentation, metrics, prometheus
- Language: Python
- Homepage:
- Size: 132 KB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE.txt
Awesome Lists containing this project
README
# Prometheus Flask Instrumentator
[](https://pypi.python.org/pypi/prometheus-flask-instrumentator/)
[](https://GitHub.com/Naereen/StrapDown.js/graphs/commit-activity)
[](https://pypi.org/project/prometheus-flask-instrumentator/)
[](https://codecov.io/gh/trallnag/prometheus-flask-instrumentator)
[](https://github.com/psf/black)
Small package to instrument your Flask app transparently.
pip install prometheus-flask-instrumentator
## Fast Track
```python
from prometheus_flask_instrumentator import Instrumentator
Instrumentator().instrument(app).expose(app)
```
With this the Flask app is instrumented and all Prometheus metrics can be
scraped via the `/metrics` endpoint.
The exporter includes the single metric `http_request_duration_seconds`.
Basically everything around it can be configured and deactivated. These
options include:
* Status codes are grouped into `2xx`, `3xx` and so on.
* Requests without a matching template are grouped into the handler `none`.
* Renaming of labels and the metric.
* Regex patterns to ignore certain routes.
* Decimal rounding of latencies.
See the *Example with all parameters* for all possible options or check
out the documentation itself.
## Example with all parameters
```python
from prometheus_flask_instrumentator import PrometheusFlaskInstrumentator
PrometheusFlaskInstrumentator(
should_group_status_codes=False,
should_ignore_untemplated=False,
should_group_untemplated=False,
should_round_latency_decimals=True,
excluded_handlers=[
"admin", # Unanchored regex.
"^/secret/.*$"], # Full regex example.
buckets=(1, 2, 3, 4,),
metric_name="flask_http"
label_names=("flask_method", "flask_handler", "flask_status",),
round_latency_decimals=3,
).instrument(app).expose(app, "/prometheus_metrics")
```
It is important to notice that you don't have to use the `expose()` method if
adding the endpoint directly to the Flask app does not suit you. There are many
other ways to expose the metrics.
The defaults are the following:
```python
should_group_status_codes: bool = True,
should_ignore_untemplated: bool = False,
should_group_untemplated: bool = True,
should_round_latency_decimals: bool = False,
excluded_handlers: list = ["/metrics"],
buckets: tuple = Histogram.DEFAULT_BUCKETS,
metric_name: str = "http_request_duration_seconds",
label_names: tuple = ("method", "handler", "status",),
round_latency_decimals: int = 4,
```
## Prerequesites
* `python = "^3.6"` (tested with 3.6 and 3.8)
* `flask = "^1"` (tested with 1.1.2)
* `prometheus-client = "^0.8.0"` (tested with 0.8.0)
## Development
Developing and building this package on a local machine requires
[Python Poetry](https://python-poetry.org/). I recommend to run Poetry in
tandem with [Pyenv](https://github.com/pyenv/pyenv). Once the repository is
cloned, run `poetry install` and `poetry shell`. From here you may start the
IDE of your choice.
For formatting, the [black formatter](https://github.com/psf/black) is used.
Run `black .` in the repository to reformat source files. It will respect
the black configuration in the `pyproject.toml`.