* Score versioning
* adding new zip assets
* tests passing
* debugging
* debugging 2
* get codebook from downloadable path
* upload version file for codebook and shapefile
* Rezip CSV and Excel files with Codebook
* codebook version
* packages fix
* pydantic
* lint
* Remove markdown link from markdown checker (#1936)
Co-authored-by: Vim <86254807+vim-usds@users.noreply.github.com>
* update be staging gha
* NRI dataset and initial score YAML configuration
* checkpoint
* adding data checks for release branch
* passing tests
* adding INPUT_EXTRACTED_FILE_NAME to base class
* lint
* columns to keep and tests
* update be staging gha
* checkpoint
* update be staging gha
* NRI dataset and initial score YAML configuration
* checkpoint
* adding data checks for release branch
* passing tests
* adding INPUT_EXTRACTED_FILE_NAME to base class
* lint
* columns to keep and tests
* checkpoint
* PR Review
* renoving source url
* tests
* stop execution of ETL if there's a YAML schema issue
* update be staging gha
* adding source url as class var again
* clean up
* force cache bust
* gha cache bust
* dynamically set score vars from YAML
* docsctrings
* removing last updated year - optional reverse percentile
* passing tests
* sort order
* column ordening
* PR review
* class level vars
* Updating DatasetsConfig
* fix pylint errors
* moving metadata hint back to code
Co-authored-by: lucasmbrown-usds <lucas.m.brown@omb.eop.gov>
* updating column E label to "Identified as disadvantaged"
* passing tests
* adding cached poetry flow
* working dir
Co-authored-by: Jorge Escobar <jorge.e.escobar@omb.eop.gov>
Summary In this PR, we create a new variable so that the % college students is expressed as % not college students. This means that the front end can display % not college students.
Includes old variables so that this will not break fe.
In order to solve an issue where states with few census tracts appear to have no DACs, we change the low-zoom for states with under some threshold of tracts to be the high-zoom for those states. Thus, WY now has DACs even in low zoom. Yay!
Did some quick, mostly cosmetic changes and updates to the quick launch changes. This mostly entailed changing strings to constants and cleaning up some code to make it neater.
Changes -- PR AMI, updating ag loss, and dropping pr from some threshold counts.
we wanted to implement a slightly different FEMA AG LOSS indicator. Here, we take the 90th percentile only of tracts that have agvalue, and then we also floor the denominator of the rate calculation (loss/total value) at $408k
* Update field name to follow constant standard
* Add table to ETL commands to README
* Update Generate Map Tiles run time
* Add a comma to copy
* Add 3 state UI experience
- PR will only show workforce dev
- IA will only show workforce dev w/o linguistic iso
- update tests to tests 3 states
- change state to territory for Island Areas
* Modify PR and IA threshold counts
* Update tile_data_expected.pkl file
* WIP on parallelizing
* switching to get_tmp_path for nri
* switching to get_tmp_path everywhere necessary
* fixing linter errors
* moving heavy ETLs to front of line
* add hold
* moving cdc places up
* removing unnecessary print
* moving h&t up
* adding parallel to geo post
* better census labels
* switching to concurrent futures
* fixing output
This updates the backend to produce tile data with island indicators / island fields.
Contains:
- new tile codes for island data
- threshold column that specifies number of thresholds to show
- ui experience column that specifies which ui experience to show
TODO: Drop the logger info message from main :)
When implementing definition M for the score, the variable names were not yet updated. For example:
This legacy field naming:
```
UNEMPLOYMENT_LOW_HS_EDUCATION_FIELD = (
f"Greater than or equal to the {PERCENTILE}th percentile for unemployment"
" and has low HS education"
)
```
Should actually be renamed something like this:
```
UNEMPLOYMENT_LOW_HS_LOW_HIGHER_ED_FIELD = (
f"Greater than or equal to the {PERCENTILE}th percentile for unemployment"
" and has low HS education and low higher ed attendance"
)
```
This PR is for the backend updates for this -- keeping the old fields, and adding new, Score M specific fields as listed below:
- [x] `field_names`: add new fields to capture low_higher_ed
- [x] `score_m`: replace old fields with new fields
- [x] `DOWNLOADABLE_SCORE_COLUMNS`: replace old fields with new fields
- [x] `TILES_SCORE_COLUMNS`: replace old fields with new fields
* updated loss rate rounding
* fixing a typo in variable name
* fixing typo in variable name
* oops, now ready to push
* updated pickle with float for loss rate columns
* updated a typo, now multiplies all loss rates by 100 consistent with other pcts
* updated with final pickles, all tests passing
* updated incorporating lucas pr comments
* changed literal to field name
* wip - added tests - 1 failing
* added check for empty series + added test
* passing tests
* parallelism in variable assingnment choice
* resolve merge conflicts
* variable name changes
* cleanup logic and move comments out of main code execution + add one more test for an extreme example eith -np.inf
* cleanup logic and move comments out of main code execution + add one more test for an extreme example eith -np.inf
* revisions to handle type ambiguity
* fixing tests
* fix pytest
* fix linting
* fix pytest
* reword comments
* cleanup comments
* cleanup comments - fix typo
* added type check and corresponding test
* added type check and corresponding test
* language cleanup
* revert
* update picke fixture
Co-authored-by: Jorge Escobar <jorge.e.escobar@omb.eop.gov>
* Update Side Panel Tile Data
* Update Side Panel Tile Data
* Correct indicator names to match csv
* Replace Score with Rate
* Comment out FEMA Loss Rate to troubleshoot
* Removes all "FEMA Loss Rate" array elements
* Revert FEMA to Score
* Remove expected loss rate
* Remove RMP and NPL from BASIC array
* Attempt to make shape mismatch align
- update README typo
* Add Score L indicators to TILE_SCORE_FLOAT_COLUMNS
* removing cbg references
* completes the ticket
* Update side panel fields
* Update index file writing to create parent dir
* Updates from linting
* fixing missing field_names for island territories 90th percentile fields
* Update downloadable fields and fix field name
* Update file fields and tests
* Update ordering of fields and leave TODO
* Update pickle after re-ordering of file
* fixing bugs in etl_score_geo
* Repeating index for diesel fix
* passing tests
* adding pytest.ini
Co-authored-by: Vim USDS <vimal.k.shah@omb.eop.gov>
Co-authored-by: Shelby Switzer <shelby.switzer@cms.hhs.gov>
Co-authored-by: lucasmbrown-usds <lucas.m.brown@omb.eop.gov>
* switching to low
* fixing score-etl-post
* updating comments
* fixing comparison
* create separate field for clarity
* comment fix
* removing healthy food
* fixing bug in score post
* running black and adding comment
* Update pickles and add a helpful notes to README
Co-authored-by: Shelby Switzer <shelby.switzer@cms.hhs.gov>
* Adds four fields:
* Summer days above 90F
* Percent low access to healthy food
* Percent impenetrable surface areas
* Low third grade reading proficiency
* Each of these four gets added into Definition L in various factors.
* Additionally, I add college attendance fields to the ETL for Census ACS.
* This PR also introduces the notion of "reverse percentiles", relevant to ticket #970.
* Update etl constants to use score field_names
Put strings around tract IDs in downloadable CSV
No need to modify the xls file creation because the string type is
preserved and interpreted correctly in Excel already.
One note is that this does cause the ID in the CSV to be have quotes
around it, which might be annoying. Maybe we don't want this behavior?
* Update based on PR feedback and lint needs
* Change field we're using in downloadable
This reverts the downloadable csv field list to use
MEDIAN_INCOME_AS_PERCENT_OF_STATE_FIELD instead of
MEDIAN_INCOME_AS_PERCENT_OF_AMI_FIELD in order to get the test to pass.
The point of this PR is a refactor (and a small change to the CSV
quotations), not to change the output. That will be a different PR
later.
Co-authored-by: Shelby Switzer <shelby.switzer@cms.hhs.gov>
This ended up being a pretty large task. Here's what this PR does:
1. Pulls in Vincent's data from island areas into the score ETL. This is from the 2010 decennial census, the last census of any kind in the island areas.
2. Grabs a few new fields from 2010 island areas decennial census.
3. Calculates area median income for island areas.
4. Stops using EJSCREEN as the source of our high school education data and directly pulls that from census (this was related to this project so I went ahead and fixed it).
5. Grabs a bunch of data from the 2010 ACS in the states/Puerto Rico/DC, so that we can create percentiles comparing apples-to-apples (ish) from 2010 island areas decennial census data to 2010 ACS data. This required creating a new class because all the ACS fields are different between 2010 and 2019, so it wasn't as simple as looping over a year parameter.
6. Creates a combined population field of island areas and mainland so we can use those stats in our comparison tool, and updates the comparison tool accordingly.
