Skip to main content

Create and store data pipeline telemetry data

Project description

Create and store data pipeline telemetry data

  • Free software: GNU Lesser General Public License v3 or later (LGPLv3+)

Installation

pip install pipeline-telemetry

You can also install the in-development version with:

pip install https://github.com/MaartendeRuyter/pipeline-telemetry/archive/master.zip

Documentation

https://pipeline-telemetry.readthedocs.io/

Development

To run all the tests run:

tox

Note, to combine the coverage data from all the tox environments run:

Windows

set PYTEST_ADDOPTS=--cov-append
tox

Other

PYTEST_ADDOPTS=--cov-append tox

Changelog

0.0.1 (2021-10-06)

  • First release on PyPI.

0.0.4 (2021-10-31)

  • Seperated the storage module

  • Added MongoDb storage class

  • Started with documentation

0.1.0 (2021-11-05)

  • added Telemetry method add_telemetry_counter

  • Added TelemetryCounter class that can be used to make prefedined objects that can be added to the Telemetry instance with the add_telemetry_counter method. This will improve readibilty of your code:

    from pipeline_telemetry import TelemetryCounter
    
    YOUR_PREDFINED_COUNTER = (
        process_type=ProcessTypes.CREATE_DATA_FROM_API,
        sub_process='RETRIEVE_RAW_DATA',
        counter_name='my_custom_counter',
    )
    
    telemetry.add_telemetry_counter(YOUR_PREDFINED_COUNTER)

0.2.0 (2021-11-09)

  • added error field to TelemetryCounter so that default Errorcodes can be used in a TelemetryCounter instance to keep an error counter in the telemetry

  • Updated add_telemetry_counter so that it can handle TelemetryCounter instances with either an Errorcode of a custom counter. In case of ErrorCode the actual error_code will serve as the customer counter.

0.2.1 (2021-11-09)

  • added is_telemetry_counter method in helper module

  • moved add_telemetry decorator to helper module

  • both methods can be directly imported from pipeline_telemetry module

0.2.2 (2021-11-10)

  • added add_mongo_telemetry decorator that uses mongo storage class

0.2.3 (2021-11-10)

  • Added attribute process_types to TelemetryCounter dataclass next to existing process_type attribute. This allows you to choose between a list of process_types or just a single process_type to be in scope of the TelemetryCounter` instance

0.2.4 (2021-11-11)

  • Implemented add_to method in TelemetryCounter. Can be used to add a TelemetryCounter instance to an object with a telemetry instance attached to it. This will make the code more readable.

0.2.5 (2021-11-11)

  • Implemented increase_base_count and increase_fail_count method. They can be used to make your code more readable when updating the telemetry

0.2.6 (2021-12-08)

  • Added default increment value = 1 to methods increase_base_count and increase_fail_count

0.2.7 (2022-01-13)

  • Added fields category and sub_category to the telemetry object to allow for better distinction between telemetry sources

  • Rename telemetry field ‘process_name’ to ‘soure_name’ to be more clear about the data source in scope of the telemetry object

0.2.8 (2022-01-13)

  • Fix in storage classes to ensure category and sub_category to be stored in the toplevel of the telemetry object

0.2.10 (2022-01-18)

  • Added indexes to mongo storage class

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pipeline-telemetry-0.2.10.tar.gz (54.4 kB view hashes)

Uploaded Source

Built Distribution

pipeline_telemetry-0.2.10-py2.py3-none-any.whl (37.2 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page