* Update downloadable zip file
* Don't use spaces in the name, as per #620
* Add the score D columns, as per #596
* fix paths and directories in etl_score_post
while the tests seemed to be passing, I encountered an error when
running poetry run score, which was caused by us creating a directory
called <name>.csv, instead of creating the parent directory.
Co-authored-by: Shelby Switzer <shelby.switzer@cms.hhs.gov>
* Fixes#341 -
As a J40 developer, I want to write Unit Tests for the ETL files,
so that tests are run on each commit
* Location bug
* Adding Load tests
* Fixing XLSX filename
* Adding downloadable zip test
* updating pickle
* Fixing pylint warnings
* Updte readme to correct some typos and reorganize test content structure
* Removing unused schemas file, adding details to readme around pickles, per PR feedback
* Update test to pass with Score D added to score file; update path in readme
* fix requirements.txt after merge
* fix poetry.lock after merge
Co-authored-by: Shelby Switzer <shelby.switzer@cms.hhs.gov>
* WIP refactor
* Exract score calculations into their own methods
* do all initial df prep in single method
* Fix error in docs for running etl for single dataset
* WIP understanding HUD and linguistic iso data
* Add comments from initial group review on PR
Co-authored-by: Shelby Switzer <shelby.switzer@cms.hhs.gov>
* Adds dev dependencies to requirements.txt and re-runs black on codebase
* Adds test and code for national risk index etl, still in progress
* Removes test_data from .gitignore
* Adds test data to nation_risk_index tests
* Creates tests and ETL class for NRI data
* Adds tests for load() and transform() methods of NationalRiskIndexETL
* Updates README.md with info about the NRI dataset
* Adds to dos
* Moves tests and test data into a tests/ dir in national_risk_index
* Moves tmp_dir for tests into data/tmp/tests/
* Promotes fixtures to conftest and relocates national_risk_index tests:
The relocation of national_risk_index tests is necessary because tests
can only use fixtures specified in conftests within the same package
* Fixes issue with df.equals() in test_transform()
* Files reformatted by black
* Commit changes to other files after re-running black
* Fixes unused import that caused lint checks to fail
* Moves tests/ directory to app root for data_pipeline
* Revert "dockerize front end (#558)"
This reverts commit 89c23faf7a.
* dockerize frontend
- adds score server and website docker compose
- creates docker ignore
- adds .env.* for dev, prod and local
- adds dockerfile for website
- adds env to gatsby-config
- adds hostaddress to develop / start script
- adds istructions in README for running docker
- replaces fixed URLS with ones based on env vars
- creates a score server dockerfile
* updates README to change map tiles source
* adds env DATA_SOURCE:development to deploy GHA
* capitalize readme
* initial docker
* adds concurrency to be able to run yarn install
* adds 0.0.0.0 to allow docker access
* adds web service
* adds env variables
* updates root path
* adds volumes
* adds docker to readme
* adds score server client docker
* docker updates after convo
* speeds up build and removes env vars
* adds client as volume
* updates to docker setup
* checkpoint
* updates the docker file
* adds .env.* files
* replaces serve with http-server for cors
Co-authored-by: Jorge Escobar <jorge.e.escobar@omb.eop.gov>
* Initial draft for data provenance
We want to make the data usable/available at every step of our data
pipeline. This starts te addition to the README that spells out the data
provenance and where each version of the data as it goes through our
pipeline lives.
* Update README with placeholders for next steps in data provenance
* Add coming soon placeholders for remaining data locations
Co-authored-by: Shelby Switzer <shelby.switzer@cms.hhs.gov>
* Fixes#303 : adding downloadable zip archive logic
* linter recommendations
* Pushes data directory to AWS. We'll want to move to use AWS for this ASAP, but this works for now
* updating pattern
Error this addresses:
File "/Users/lucas/Documents/usds/repos/justice40-tool/data/data-pipeline/data_pipeline/etl/runner.py", line 71, in etl_runner
f"data_pipeline.etl.sources.{dataset['module_dir']}.etl"
TypeError: 'NoneType' object is not subscriptable
* Fixes#456 - Our data directory should adopt standard python package structure
* a few missed references
* updating readme
* updating requirements
* Running Black
* Fixes for flake8
* updating pylint
