OECD fetcher building templates and helpers
Project description
OECD Toolbox
A library of abstract classes that can serve as a skeleton for writing downloaders and converters for DbNomics style fetchers. Additionally it contains utility/helper functions to handle common operations or transformations in both the downloading and conversion process.
Installation
To install the package - proceed the usual way:
pip install oecd_toolbox
or if you have it installed already, upgrade:
pip install oecd_toolbox --upgrade
Build the project
To build the project, after changes, make sure the version number in setup.cfg is updated. Then issue the following command:
python -m build
Publish the project on pypi.org
WARNING!!! make sure no confidential data is stored in the published package
The package is published on pypi.org. Manually manage the available variants of the package here. Access details are stored in the Practices teams access details store.
To push the distributions that are available in the toolbox's dist folder use twine with the commandline:
twine upload dist/*
DataCapture conversions
NEW in version 0.3.27 of the toolbox - the package includes a converter to generate DataCapture style csvs. To use this new converter copy into your fetcher project the 'tests\datacapture-postprocessor.py' file or just its contents (below).
import asyncio
import sys
from oecd_toolbox import csv_writers as lbc
def main():
cnvtr = lbc.DataCaptureConverter()
cnvtr.init_arguments_and_logging()
asyncio.run(cnvtr.convert_resources(cnvtr.prepare_resources(), cnvtr.process_single_resource))
if __name__ == "__main__":
sys.exit(main())
In order to run the conversion from jsonl files use the following powershell command assuming that you have already created a folder <projectname-datacapture-data> to recieve your csv files:
python datacapture-postprocessor.py <path-to\projectname-json-data> <path-to\projectname-datacapture-data> --force
A similar command could be added to the postprocessor in the continouous integration pipeline. The usual behaviour modifiers [--only --except --limit] are available.
Common behaviour modifiers
All fetcher components that adopt the toolbox inherit some behaviour modifiers from the underlying toolbox. These command line arguments can be used to modify how the programs iterate through resources
:
- removing the excluded ones if the
--exclude
option is used; provide a space separated list of resource IDs - keeping only some of them if the
--only
option is used; provide a space separated list of resource IDs - processing a limited number of resources if the
--limit
option is used; provide an integer after the argument
By default resources that were already processed with a SUCCESS
or FAILURE
status will not be processed again.
If the option --retry-failed
is used, resources with FAILURE status will be retried.
If the option --force
is used, process all resources. !!! This is often needed if the status log is not cleared after each execution.
The basic behaviour of the iterator will call process_resource(resource)
, logging messages, allowing
to track the processing progress. If an exception is raised during the execution of process_resource
:
- log the error and process the next resource, or re-raise if
--fail-fast
option is used - call
resource.delete()
if--delete-on-error
option is used
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for oecd_toolbox-0.3.31-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8474c6b88b35d38df1e5149ceaa84d820868379555095fff1a40c6f42bd6b098 |
|
MD5 | 7e9174ac46872d7fbed1d3e0b9df7f02 |
|
BLAKE2b-256 | 1e6e8a1c32e70b1cff7b5a8954cb328eed5233cf098684ed876c1a3f8a92432d |