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test: troute output formats + add testing data
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python/ngen_cal/tests/data/troute_output/example_realization_config.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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| { | ||
| "global": { | ||
| "formulations": [], | ||
| "forcing": { | ||
| "file_pattern": ".*{{id}}.*.csv", | ||
| "path": "./does/not/exist/" | ||
| } | ||
| }, | ||
| "time": { | ||
| "start_time": "2023-04-02 00:00:00", | ||
| "end_time": "2023-04-03 00:00:00", | ||
| "output_interval": 3600 | ||
| } | ||
| } |
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python/ngen_cal/tests/data/troute_output/troute_output.csv
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| ,,current_time,flow,velocity,depth,nudge | ||
| 2420800,wb,2023-04-02 01:00:00,0.0,0.0,0.0,-9999.0 | ||
| 2420800,wb,2023-04-02 02:00:00,0.0,0.0,0.0,-9999.0 | ||
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| 2420800,wb,2023-04-03 00:00:00,0.0,0.0,0.0,-9999.0 |
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| from __future__ import annotations | ||
|
|
||
| import pathlib | ||
| from datetime import datetime | ||
|
|
||
| import pytest | ||
| from ngen.cal.ngen import NgenBase | ||
| from ngen.cal.ngen_hooks.ngen_output import TrouteOutput | ||
| from ngen.config.realization import NgenRealization | ||
|
|
||
| data_dir = pathlib.Path(__file__).parent / "data/troute_output/" | ||
|
|
||
|
|
||
| @pytest.fixture | ||
| def ngen_cal_model_config() -> NgenBase: | ||
| # NOTE: validation skipped and only fields required for | ||
| # `TrouteOutput.ngen_cal_model_configure` are implemented | ||
| realization = NgenRealization.parse_file( | ||
| data_dir / "example_realization_config.json" | ||
| ) | ||
| base = NgenBase.construct() | ||
| base.ngen_realization = realization | ||
| return base | ||
|
|
||
|
|
||
| troute_output_variants = ( | ||
| data_dir / "flowveldepth.csv", | ||
| data_dir / "flowveldepth.parquet", | ||
| data_dir / "troute_output.csv", | ||
| data_dir / "troute_output.nc", | ||
| ) | ||
|
|
||
|
|
||
| @pytest.mark.parametrize("file", troute_output_variants) | ||
| def test_ngen_cal_model_output(file: pathlib.Path, ngen_cal_model_config: NgenBase): | ||
| output = TrouteOutput(file) | ||
|
|
||
| # setup plugin | ||
| output.ngen_cal_model_configure(config=ngen_cal_model_config) | ||
|
|
||
| feature = "wb-2420800" | ||
| df = output.get_output(id=feature) | ||
| assert df is not None, "expect to receive pd.Series" | ||
|
|
||
| dt = datetime.fromisoformat("2023-04-02 01:00:00") | ||
| assert df[dt] == 0.0 | ||
|
|
||
| # testing data is for a single day | ||
| assert len(df) == 24 |