Added tract grandfathering language to UI

data/data-pipeline/data_pipeline/etl/score/constants.py

@@ -282,6 +282,7 @@ TILES_SCORE_COLUMNS = {
     # The NEW final score value INCLUDES the adjacency index.
     field_names.FINAL_SCORE_N_BOOLEAN: "SN_C",
     field_names.FINAL_SCORE_N_BOOLEAN_V1_0: "SN_C_V10",
+    field_names.GRANDFATHERED_N_COMMUNITIES_V1_0: "SN_GRAND",
     field_names.IS_TRIBAL_DAC: "SN_T",
     field_names.DIABETES_LOW_INCOME_FIELD: "DLI",
     field_names.ASTHMA_LOW_INCOME_FIELD: "ALI",

data/data-pipeline/data_pipeline/etl/score/tests/snapshots/README.md

@@ -1,23 +1,25 @@
-These files are used as inputs to unit tests. Some notes in their creation is below.
+# How to generate the sample data in this folder
+
+The sample data in this folder can be easily generated by debugging the `data_pipeline/etl/score/etl_score_post.py` file
+and exporting data using the debugger console. Examples of this exporting are below.
+
+## Why in pickle format?
+
+Exporting as a Pickle file keeps all the metadata about the columns including the data types. If we were to export as CSV then we will need
+to code the data types in the test fixtures for all the columns for the comparison to be correct.
+
+## Exporting the test data
+
+First, verify the code works as expected before exporting the data. You will not be able to inspect the data exports as they are in binary.
+You will be using the debugger to export the data. Note that it is best to export a small subset of the data for faster test execution.
+
+### create_tile_data test
+1. Place a breakpoint in `data_pipeline/etl/score/etl_score_post.py` in the `transform` method right after the call to
+`_create_tile_data` and start the debugger running the Generate Post Score command (`generate-score-post`).
+1. Partially export the `output_score_county_state_merged_df` and `self.output_score_tiles_df` data to a pickle file once the debugger pauses 
+at the breakpoint. Use these sample commands in the debugger console. Note that we are using head and tail to have territories in the sample data.
 
-### create_tile_data_expected.pkl
-1. Set a breakpoint in the `test_create_tile_data` method in `data_pipeline/etl/score/tests/test_score_post.py` 
-after the call to `_create_tile_data` and debug the test.
-2. Extract a subset of the `output_tiles_df_actual` dataframe. Do not extract the whole score as the file 
-will be too big and the test will run slow. Also, you need to extract the same tracts that are in
-the `create_tile_score_data_input.pkl` input data. For example, use the following command once the breakpoint is reached 
-to extract a few rows at the top and bottom of the score. This will some capture states and territories.
 ```python
-import pandas as pd
-pd.concat([output_tiles_df_actual.head(3), output_tiles_df_actual.tail(3)], ignore_index=True).to_pickle('data_pipeline/etl/score/tests/snapshots/create_tile_data_expected.pkl')
+pd.concat([output_score_county_state_merged_df.head(3), output_score_county_state_merged_df.tail(4)], ignore_index=True).to_pickle('data_pipeline/etl/score/tests/snapshots/create_tile_score_data_input.pkl')
+pd.concat([self.output_score_tiles_df.head(3), self.output_score_tiles_df.tail(4)], ignore_index=True).to_pickle('data_pipeline/etl/score/tests/snapshots/create_tile_data_expected.pkl')
 ```
-
-### create_tile_score_data_input.pkl
-1. Set a breakpoint in the transform method in `data_pipeline/etl/score/etl_score_post.py` before the call to
-`_create_tile_data` and run the post scoring.
-2. Extract a subset of the `output_score_county_state_merged_df` dataframe. Do not extract the whole score as the file 
-will be too big and the test will run slow. For example, use the following command once the breakpoint is reached 
-to extract a few rows at the top and bottom of the score. This will some capture states and territories.
-```python
-pd.concat([output_score_county_state_merged_df.head(3), output_score_county_state_merged_df.tail(3)], ignore_index=True).to_pickle('data_pipeline/etl/score/tests/snapshots/create_tile_score_data_input.pkl')
-```