Overview
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
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
Metadata
Release files for pipeline-telemetry 0.2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pipeline-telemetry-0.2.3.tar.gz | 51.5 kB | Without provenance | Details for pipeline-telemetry-0.2.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pipeline_telemetry-0.2.3-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for pipeline_telemetry-0.2.3-py2.py3-none-any.whl |
Total release size: 87.6 kB
Release files / pipeline-telemetry-0.2.3.tar.gz
| Download URL | pipeline-telemetry-0.2.3.tar.gz |
|---|---|
| Size | 51.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
db2235d070a4037c937a4f6b2cf4d2aba4c9efddb8557a5c5799db35e6dce9b6
|
|
BLAKE2b-256 checksum How to use checksums |
e03b77956bdbce120f018129301a80374858753d61a80a2f586f57ebc44168b3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.2
|
Release files / pipeline_telemetry-0.2.3-py2.py3-none-any.whl
| Download URL | pipeline_telemetry-0.2.3-py2.py3-none-any.whl |
|---|---|
| Size | 36.0 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
cb9a1c6b33d36ffff2eb9066c02d3b05034e7a738940b52222932ca751005f40
|
|
BLAKE2b-256 checksum How to use checksums |
83c3ae7531d46503af278d7cd0de37cf000d165e1144834367da72906be6b492
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.2
|
Security for pipeline-telemetry 0.2.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.