Merge branch 'dev-ci' of https://github.com/NOAA-OWP/inundation-mapping…

… into dev-ci

docs/CHANGELOG.md

@@ -8,6 +8,8 @@ The `flake8-pyproject` dependency is now used, as it works out of the box with t
 In switching to this package, a couple of `E721` errors appeared. Modifications were made to the appropriate files to resolve the `flake8` `E721` errors.
 Also, updates to the `unit_tests` were necessary since Branch IDs have changed with the latest code.  
 
+A small fix was also included where `src_adjust_ras2fim_rating.py` which sometimes fails with an encoding error when the ras2fim csv sometimes is created or adjsuted in windows.
+
 ### Changes
 - `.pre-commit-config.yaml`: use `flake8-pyproject` package instead of `pyproject-flake8`.
 - `Pipfile` and `Pipfile.lock`: updated to use `flake8-pyproject` package instead of `pyproject-flake8`.
@@ -16,6 +18,7 @@ Also, updates to the `unit_tests` were necessary since Branch IDs have changed w
     - `write_parquet_from_calib_pts.py`: Add space between (-) operator line 234.
 - `src`
     - `check_huc_inputs.py`: Change `== string` to `is str`, remove `import string`
+    - `src_adjust_ras2fim_rating.py`: Fixed encoding error.
 - `tools`
     - `eval_plots.py`: Add space after comma in lines 207 & 208
     - `generate_categorical_fim_mapping.py`: Use `is` instead of `==`, line 315

src/src_adjust_ras2fim_rating.py

@@ -52,7 +52,9 @@ def create_ras2fim_rating_database(ras_rc_filepath, ras_elev_df, nwm_recurr_file
     print('Reading RAS2FIM rating curves from csv...')
     log_text = 'Processing database for RAS2FIM flow/WSE at NWM flow recur intervals...\n'
     col_filter = ["fid_xs", "flow", "wse"]
-    ras_rc_df = pd.read_csv(ras_rc_filepath, dtype={'fid_xs': object}, usecols=col_filter)  # , nrows=30000)
+    ras_rc_df = pd.read_csv(
+        ras_rc_filepath, dtype={'fid_xs': object}, usecols=col_filter, encoding="unicode_escape"
+    )  # , nrows=30000)
     ras_rc_df.rename(columns={'fid_xs': 'location_id'}, inplace=True)
     # ras_rc_df['location_id'] = ras_rc_df['feature_id'].astype(object)
     print('Duration (read ras_rc_csv): {}'.format(dt.datetime.now() - start_time))