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mongo-tooling-metrics

library1.0.8pypypiunverified

A slim library which leverages Pydantic to reliably collect type-enforced metrics and store them to MongoDB. Version 1.0.8 supports Python >=3.7,<4.0. Low release cadence.

database serialization observability

pip install mongo-tooling-metrics

package ↗

INSTALL

IMPORT

SIG · MONGO-TOOLING-METR

mongo-tooling-metrics

databasepythonv1.0.8

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

MetricCollector

✓ from mongo_tooling_metrics import MetricCollector

✗ from mongo_tooling_metrics import MetricCollector

Initialize MetricsConfig with MongoDB URI and collection details, then create a MetricCollector and send a gauge metric.

from mongo_tooling_metrics import MetricCollector, MetricsConfig import os config = MetricsConfig( mongo_uri=os.environ.get('MONGO_URI', 'mongodb://localhost:27017'), database_name='metrics', collection_name='my_metrics' ) collector = MetricCollector(config) collector.send_gauge('my_gauge', 42) print('Metric sent successfully.')

Debug

Known issues

gotchaMetricCollector.send_gauge() and send_counter() accept only int or float values; passing a string will raise a ValidationError silently if using Pydantic v1?

fix

Ensure metric values are numeric (int or float).

affects: >=1.0.0

gotchaIf MongoDB connection fails, metrics are silently dropped; no exception is raised by default.

fix

Enable logging or check the return value of send methods if available.

affects: >=1.0.0

Upgrade

Version history

1.0.8latest on PyPI · released Jun 1, 2023

Audit

Dependencies

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Agent activity

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Resources

packagehttps://pypi.org/project/mongo-tooling-metrics/ ↗