From 2950aee892b5e2fb8813bdd241470c98156e903a Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Wed, 16 Oct 2024 15:52:04 +0200 Subject: [PATCH 01/42] edit the doc due to new cds api --- docs/configuration.md | 23 +++++++++++++++-------- docs/index.md | 7 ++++++- 2 files changed, 21 insertions(+), 9 deletions(-) diff --git a/docs/configuration.md b/docs/configuration.md index 5455114..2b1299c 100644 --- a/docs/configuration.md +++ b/docs/configuration.md @@ -23,15 +23,25 @@ The configuration file should contain the `working_directory`, for instance: working_directory: /path_to_a_working_directory/ #for example: /home/bart/Zampy ``` -If you need access to data on CDS or ADS server, you should add your CDS or ADS credentials to `zampy_config.yml`: +The old Climate Data Store (CDS) is shut down on 3 September 2024. For more +information see: +[the-new-climate-data-store-beta](https://forum.ecmwf.int/t/the-new-climate-data-store-beta-cds-beta-is-now-live/3315). +To use the new CDS/ADS, you need to have an ECMWF account, your existing CDS/ADS +credentials does not work. + +If you need access to data on CDS or ADS server, you should add your CDS/ADS +credentials to `zampy_config.yml`. To find your key, go to [CDS how to +api](https://cds.climate.copernicus.eu/how-to-api), or [ADS how to +api](https://ads.atmosphere.copernicus.eu/how-to-api). You can skip the steps +related to `.cdsapirc` and simply add the key to `zampy_config.yml`: ```yaml cdsapi: - url: # for example https://cds.climate.copernicus.eu/api/v2 - key: # for example 12345:xhashd-232jcsha-dsaj429-cdjajd29319 + url: # for example https://cds.climate.copernicus.eu/api + key: # for example xhashd-232jcsha-dsaj429-cdjajd29319 adsapi: - url: # for example https://ads.atmosphere.copernicus.eu/api/v2 - key: # for example 12345:xhashd-232jcsha-dsaj429-cdjajd29319 + url: # for example https://ads.atmosphere.copernicus.eu/api + key: # for example xhashd-232jcsha-dsaj429-cdjajd29319 ``` ## Instructions for CDS/ADS datasets @@ -45,9 +55,6 @@ To download the following datasets, users need access to CDS/ADS via `cdsapi`/`a - ADS - CAMS EGG4 (e.g. co2) -To generate these API keys, you need to be a registered user on *CDS* via the [registration page](https://cds.climate.copernicus.eu/user/register?destination=%2F%23!%2Fhome), or on *ADS* via the [registration page](https://ads.atmosphere.copernicus.eu/user/register?destination=%2F%23!%2Fhome). - -Before submitting any request with `zampy`, please put your `cdsapi`/`adsapi` credentials in `zampy_config.yml`. Here is a short [instruction](https://cds.climate.copernicus.eu/api-how-to) about how to find your CDS/ADS API key. You can skip the steps related to `.cdsapirc` and simply add the key to `zampy_config.yml`. ### Agree to the Terms of Use on CDS/ADS diff --git a/docs/index.md b/docs/index.md index ec3a971..1f689e2 100644 --- a/docs/index.md +++ b/docs/index.md @@ -52,7 +52,7 @@ download: cams: variables: - co2_concentration - + convert: convention: ALMA frequency: 1H # outputs at 1 hour frequency. Pandas-like freq-keyword. @@ -67,6 +67,11 @@ When you have your reciped created and saved on your disk, you can execute your zampy /path_to_recipe/sample_recipe.yml ``` +>NOTE: You may recieve an error message from CDS/ADS if not all the required +>licences have been accepted. Follow the instructions in the error message to +>accept the licences and run the recipe again. + + ### Interact with `zampy` in notebooks It is possible to use `zampy` directly in Python via its Python API. This is not recommended, as it is more difficult to reproduce the workflow if there is no recipe. From 2c3dac3455928a4345bfaa0b5343540b9d669329 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Wed, 16 Oct 2024 15:53:05 +0200 Subject: [PATCH 02/42] add a version to cdsapi in pyproject --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 468e08e..ac61248 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -62,7 +62,7 @@ dependencies = [ "pint", "cf_xarray", # required to auto-pint CF compliant datasets. "pint-xarray", - "cdsapi", + "cdsapi>=0.7.2", "xarray-regrid", # for regridding ] dynamic = ["version"] From bba68a99eada54fdbc66a9b968b863c6c8ba962d Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Wed, 16 Oct 2024 16:44:14 +0200 Subject: [PATCH 03/42] fix regrid.most_common due to changes in version xarray_regrid v0.4.0 --- src/zampy/datasets/land_cover.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/src/zampy/datasets/land_cover.py b/src/zampy/datasets/land_cover.py index 0ae9b78..25f12bb 100644 --- a/src/zampy/datasets/land_cover.py +++ b/src/zampy/datasets/land_cover.py @@ -141,7 +141,7 @@ def load( grid = xarray_regrid.create_regridding_dataset( utils.make_grid(spatial_bounds, resolution) ) - ds = ds.regrid.most_common(grid, time_dim="time", max_mem=1e9) + ds = ds.regrid.most_common(grid) return ds @@ -225,9 +225,7 @@ def extract_netcdf_to_zampy(file: Path) -> xr.Dataset: target_dataset = xarray_regrid.create_regridding_dataset(new_grid) - ds_regrid = ds.regrid.most_common( - target_dataset, time_dim="time", max_mem=1e9 - ) + ds_regrid = ds.regrid.most_common(target_dataset) # rename variable to follow the zampy convention variable_name = "land_cover" From b63505f8bff42ee3667cc14ec83e7a465ba9789a Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Fri, 18 Oct 2024 13:02:25 +0200 Subject: [PATCH 04/42] fix the use of regrid.most_common in land_cover.py due to changes in version xarray_regrid v0.4.0 --- src/zampy/datasets/land_cover.py | 40 ++++++++++++++++++++++++++++---- 1 file changed, 35 insertions(+), 5 deletions(-) diff --git a/src/zampy/datasets/land_cover.py b/src/zampy/datasets/land_cover.py index 25f12bb..9e54461 100644 --- a/src/zampy/datasets/land_cover.py +++ b/src/zampy/datasets/land_cover.py @@ -134,16 +134,30 @@ def load( ) raise ValueError(msg) files = list((ingest_dir / self.name).glob(f"{self.name}_*.nc")) - ds = xr.open_mfdataset(files, chunks={"latitude": 200, "longitude": 200}) ds = ds.sel(time=slice(time_bounds.start, time_bounds.end)) grid = xarray_regrid.create_regridding_dataset( utils.make_grid(spatial_bounds, resolution) ) - ds = ds.regrid.most_common(grid) - return ds + ds_regrid = {} + for variable in variable_names: + # select the variable to be regridded + da = ds[variable] + + # get values for most common method + if "flag_values" in da.attrs: + regrid_values = da.attrs["flag_values"] + else: + regrid_values = np.unique(da.values) + + da_regrid = da.regrid.most_common(grid, values=regrid_values) + + # make sure dtype is the same + ds_regrid[variable] = da_regrid.astype(da.dtype) + + return xr.Dataset(ds_regrid) def convert( self, @@ -207,7 +221,7 @@ def extract_netcdf_to_zampy(file: Path) -> xr.Dataset: # only keep land cover class variable with xr.open_dataset(unzip_folder / zipped_file_name) as ds: - var_list = [var for var in ds.data_vars] + var_list = list(ds.data_vars) raw_variable = "lccs_class" var_list.remove(raw_variable) ds = ds.drop_vars(var_list) # noqa: PLW2901 @@ -225,7 +239,23 @@ def extract_netcdf_to_zampy(file: Path) -> xr.Dataset: target_dataset = xarray_regrid.create_regridding_dataset(new_grid) - ds_regrid = ds.regrid.most_common(target_dataset) + # select the variable to be regridded + da = ds[raw_variable] + + # get values for most common method + if "flag_values" in da.attrs: + regrid_values = da.attrs["flag_values"] + else: + regrid_values = np.unique(da.values) + + + da_regrid = da.regrid.most_common(target_dataset, values=regrid_values) + + # make sure dtype is the same + da_regrid = da_regrid.astype(da.dtype) + + # convert dataarray to dataset + ds_regrid = da_regrid.to_dataset() # rename variable to follow the zampy convention variable_name = "land_cover" From c17eb37970bb422951a11747548480ffc0bc8472 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Fri, 18 Oct 2024 13:06:29 +0200 Subject: [PATCH 05/42] fix ruff error --- src/zampy/datasets/land_cover.py | 1 - 1 file changed, 1 deletion(-) diff --git a/src/zampy/datasets/land_cover.py b/src/zampy/datasets/land_cover.py index 9e54461..4fdb734 100644 --- a/src/zampy/datasets/land_cover.py +++ b/src/zampy/datasets/land_cover.py @@ -248,7 +248,6 @@ def extract_netcdf_to_zampy(file: Path) -> xr.Dataset: else: regrid_values = np.unique(da.values) - da_regrid = da.regrid.most_common(target_dataset, values=regrid_values) # make sure dtype is the same From 1b997916450ac3bf40f4f480594ac63cd8e56520 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Fri, 18 Oct 2024 14:15:29 +0200 Subject: [PATCH 06/42] rename valid_time dim to time in ecmwf_dataset, see issue 59 --- src/zampy/datasets/ecmwf_dataset.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/src/zampy/datasets/ecmwf_dataset.py b/src/zampy/datasets/ecmwf_dataset.py index 87f39bc..c12d3ca 100644 --- a/src/zampy/datasets/ecmwf_dataset.py +++ b/src/zampy/datasets/ecmwf_dataset.py @@ -120,8 +120,12 @@ def load( files += (ingest_dir / self.name).glob(f"{self.name}_{var}*.nc") ds = xr.open_mfdataset(files, chunks={"latitude": 200, "longitude": 200}) - ds = ds.sel(time=slice(time_bounds.start, time_bounds.end)) + # rename valid_time to time + if "valid_time" in ds.dims: + ds = ds.rename({"valid_time": "time"}) + + ds = ds.sel(time=slice(time_bounds.start, time_bounds.end)) grid = xarray_regrid.create_regridding_dataset( make_grid(spatial_bounds, resolution) ) From 692bae5b3df5fad84745638cff3659c0633aab95 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Fri, 18 Oct 2024 14:16:06 +0200 Subject: [PATCH 07/42] unify chunks before regrid --- src/zampy/datasets/ecmwf_dataset.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/src/zampy/datasets/ecmwf_dataset.py b/src/zampy/datasets/ecmwf_dataset.py index c12d3ca..0ffd19c 100644 --- a/src/zampy/datasets/ecmwf_dataset.py +++ b/src/zampy/datasets/ecmwf_dataset.py @@ -129,6 +129,10 @@ def load( grid = xarray_regrid.create_regridding_dataset( make_grid(spatial_bounds, resolution) ) + + # this is needed before regrid + ds = ds.unify_chunks() + ds = ds.regrid.linear(grid) return ds From dcb9bb064cce2be69bb074b4e5a5b5629426c070 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Fri, 18 Oct 2024 16:13:51 +0200 Subject: [PATCH 08/42] fix calculating freq in recipe --- src/zampy/recipe.py | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) diff --git a/src/zampy/recipe.py b/src/zampy/recipe.py index 63a360b..782363e 100644 --- a/src/zampy/recipe.py +++ b/src/zampy/recipe.py @@ -137,13 +137,19 @@ def run(self) -> None: ds = converter.convert(ds, dataset, convention=self.convention) if "time" in ds.dims: # Dataset with only DEM (e.g.) has no time dim. - freq = xr.infer_freq(ds["time"]) - if freq is None: # fallback: - freq = ( + data_freq = None + + if len(ds["time"]) == 1: + data_freq = pd.Timedelta(self.frequency) + elif len(ds["time"]) > 3: # see pandas _FrequencyInferer + freq = xr.infer_freq(ds["time"]) + data_freq = pd.to_timedelta(pd.tseries.frequencies.to_offset(freq)) + + if data_freq is None: # fallback: + data_freq = pd.Timedelta( ds["time"].isel(time=1).to_numpy() - ds["time"].isel(time=0).to_numpy() ) - data_freq = pd.to_timedelta(pd.tseries.frequencies.to_offset(freq)) if data_freq < pd.Timedelta(self.frequency): ds = ds.resample(time=self.frequency).mean() From 5ce238c3e4e22a45c8891bb47f420f85970bb1be Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Fri, 18 Oct 2024 16:30:03 +0200 Subject: [PATCH 09/42] fix version syntax in fapar_lai --- src/zampy/datasets/fapar_lai.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/zampy/datasets/fapar_lai.py b/src/zampy/datasets/fapar_lai.py index fdfef0c..57dd022 100644 --- a/src/zampy/datasets/fapar_lai.py +++ b/src/zampy/datasets/fapar_lai.py @@ -223,7 +223,7 @@ def download_fapar_lai( "format": "zip", "variable": "lai", "horizontal_resolution": "1km", - "product_version": "V3", + "product_version": "v3", "satellite": "spot" if year < 2014 else "proba", "sensor": "vgt", "month": f"{month:0>2}", From 47b57ce4d1adec4a89f5cc8f3c30e92cb5fca227 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Fri, 18 Oct 2024 16:32:51 +0200 Subject: [PATCH 10/42] fix version in land_cover cds request --- src/zampy/datasets/cds_utils.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/src/zampy/datasets/cds_utils.py b/src/zampy/datasets/cds_utils.py index c223a9a..9298477 100644 --- a/src/zampy/datasets/cds_utils.py +++ b/src/zampy/datasets/cds_utils.py @@ -2,6 +2,8 @@ from copy import copy from pathlib import Path + +import requests import cdsapi import numpy as np import pandas as pd @@ -35,10 +37,10 @@ "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", - "31", + "31", ] # fmt: skip -ALL_HOURS = [ +ALL_HOURS = [ "00:00", "01:00", "02:00", "03:00", "04:00", "05:00", "06:00", "07:00", "08:00", "09:00", "10:00", "11:00", "12:00", "13:00", "14:00", "15:00", "16:00", "17:00", "18:00", "19:00", "20:00", @@ -154,9 +156,9 @@ def cds_request_land_cover( for year in tqdm(years): if int(year) < 2016: - version = "v2.0.7cds" + version = "v2_0_7cds" else: - version = "v2.1.1" + version = "v2_1_1" r = c.retrieve( dataset, { From 00aa356dac839c9716a314e8e7c897cffa8d4f75 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Fri, 18 Oct 2024 16:59:51 +0200 Subject: [PATCH 11/42] fix version in test_fapar_lai --- tests/test_datasets/test_fapar_lai.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_datasets/test_fapar_lai.py b/tests/test_datasets/test_fapar_lai.py index 52e6bf7..9c78680 100644 --- a/tests/test_datasets/test_fapar_lai.py +++ b/tests/test_datasets/test_fapar_lai.py @@ -61,7 +61,7 @@ def test_download(self, mock_retrieve, valid_path_config, dummy_dir): "format": "zip", "variable": "lai", "horizontal_resolution": "1km", - "product_version": "V3", + "product_version": "v3", "satellite": "proba", "sensor": "vgt", "month": "01", From d9ab924637826164c3d39be4d039037130d05e2a Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Fri, 18 Oct 2024 17:00:36 +0200 Subject: [PATCH 12/42] fix version in test_land_cover --- tests/test_datasets/test_land_cover.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_datasets/test_land_cover.py b/tests/test_datasets/test_land_cover.py index 5aae0a5..f68b8ed 100644 --- a/tests/test_datasets/test_land_cover.py +++ b/tests/test_datasets/test_land_cover.py @@ -61,7 +61,7 @@ def test_download(self, mock_retrieve, valid_path_config, dummy_dir): "variable": "all", "format": "zip", "year": "1996", - "version": "v2.0.7cds", + "version": "v2_0_7cds", }, ) From 4e6fe3e8f2213fb79948506c3746f30a81318c5e Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Fri, 18 Oct 2024 17:10:35 +0200 Subject: [PATCH 13/42] fix version of land_cover request in test_cds_utils --- tests/test_cds_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_cds_utils.py b/tests/test_cds_utils.py index 2fd5e2c..72cf23a 100644 --- a/tests/test_cds_utils.py +++ b/tests/test_cds_utils.py @@ -139,7 +139,7 @@ def test_cds_request_land_cover(mock_retrieve, valid_path_config): "variable": "all", "format": "zip", "year": "1996", - "version": "v2.0.7cds", + "version": "v2_0_7cds", }, ) From ddb7c58b997528d4c3993d6c5202a625a3bd2851 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Mon, 21 Oct 2024 15:32:28 +0200 Subject: [PATCH 14/42] add spatial bounds for landcover, fix spatial bounds in target grid in ingest function of land cover to avoid memory problems --- src/zampy/datasets/cds_utils.py | 15 ++++++++++++--- src/zampy/datasets/land_cover.py | 9 +++++---- tests/test_datasets/test_land_cover.py | 1 + 3 files changed, 18 insertions(+), 7 deletions(-) diff --git a/src/zampy/datasets/cds_utils.py b/src/zampy/datasets/cds_utils.py index 9298477..ff4bf5f 100644 --- a/src/zampy/datasets/cds_utils.py +++ b/src/zampy/datasets/cds_utils.py @@ -2,8 +2,6 @@ from copy import copy from pathlib import Path - -import requests import cdsapi import numpy as np import pandas as pd @@ -126,7 +124,8 @@ def cds_request_land_cover( dataset: str, time_bounds: TimeBounds, path: Path, - overwrite: bool, + spatial_bounds: SpatialBounds | None = None, + overwrite: bool = False, ) -> None: """Download land cover data via CDS API. @@ -138,6 +137,7 @@ def cds_request_land_cover( dataset: Dataset name for retrieval via `cdsapi`. time_bounds: Zampy time bounds object. path: File path to which the data should be saved. + spatial_bounds: Zampy spatial bounds object. overwrite: If an existing file (of the same size!) should be overwritten. """ fname = PRODUCT_FNAME[dataset] @@ -154,6 +154,14 @@ def cds_request_land_cover( years_months = time_bounds_to_year_month(time_bounds) years = {year for (year, _) in years_months} + if spatial_bounds is not None: + area = [ + spatial_bounds.north, + spatial_bounds.west, + spatial_bounds.south, + spatial_bounds.east, + ] + for year in tqdm(years): if int(year) < 2016: version = "v2_0_7cds" @@ -166,6 +174,7 @@ def cds_request_land_cover( "format": "zip", "year": year, "version": version, + "area": area, }, ) fpath = path / f"{fname}_LCCS_MAP_300m_{year}.zip" diff --git a/src/zampy/datasets/land_cover.py b/src/zampy/datasets/land_cover.py index 4fdb734..e4c8358 100644 --- a/src/zampy/datasets/land_cover.py +++ b/src/zampy/datasets/land_cover.py @@ -82,6 +82,7 @@ def download( cds_utils.cds_request_land_cover( dataset=self.cds_dataset, time_bounds=time_bounds, + spatial_bounds=spatial_bounds, path=download_folder, overwrite=overwrite, ) @@ -229,10 +230,10 @@ def extract_netcdf_to_zampy(file: Path) -> xr.Dataset: ds = ds.sortby(["lat", "lon"]) # noqa: PLW2901 ds = ds.rename({"lat": "latitude", "lon": "longitude"}) # noqa: PLW2901 new_grid = xarray_regrid.Grid( - north=90, - east=180, - south=-90, - west=-180, + north=ds["latitude"].max(), + east=ds["longitude"].max(), + south=ds["latitude"].min(), + west=ds["longitude"].min(), resolution_lat=0.05, resolution_lon=0.05, ) diff --git a/tests/test_datasets/test_land_cover.py b/tests/test_datasets/test_land_cover.py index f68b8ed..fed0c34 100644 --- a/tests/test_datasets/test_land_cover.py +++ b/tests/test_datasets/test_land_cover.py @@ -62,6 +62,7 @@ def test_download(self, mock_retrieve, valid_path_config, dummy_dir): "format": "zip", "year": "1996", "version": "v2_0_7cds", + "area": [54, 3, 1, 56], }, ) From 868bc0ef3302f4574421abeb79c91baffc7f44e1 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Mon, 21 Oct 2024 15:42:01 +0200 Subject: [PATCH 15/42] increase timeout in cds request --- src/zampy/datasets/cds_utils.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/src/zampy/datasets/cds_utils.py b/src/zampy/datasets/cds_utils.py index ff4bf5f..f93e6ab 100644 --- a/src/zampy/datasets/cds_utils.py +++ b/src/zampy/datasets/cds_utils.py @@ -97,11 +97,13 @@ def cds_request( url, api_key = cds_api_key(fname) + # TODO: expose timeout, see issue 64 c = cdsapi.Client( url=url, key=api_key, verify=True, quiet=True, + timeout=300, ) # choose retrieve function retrieve_func = RETRIEVE_FUNCTION[fname] From 14592456a8574afefe6ef91f4e64e4d32df984db Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Mon, 21 Oct 2024 15:50:59 +0200 Subject: [PATCH 16/42] fix test cds_utils --- tests/test_cds_utils.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tests/test_cds_utils.py b/tests/test_cds_utils.py index 72cf23a..6a869e9 100644 --- a/tests/test_cds_utils.py +++ b/tests/test_cds_utils.py @@ -130,6 +130,7 @@ def test_cds_request_land_cover(mock_retrieve, valid_path_config): dataset, time_bounds, path, + SpatialBounds(54, 56, 1, 3), overwrite, ) @@ -140,6 +141,7 @@ def test_cds_request_land_cover(mock_retrieve, valid_path_config): "format": "zip", "year": "1996", "version": "v2_0_7cds", + "area": [54, 3, 1, 56], }, ) From d0d57a739c7eb41a96bcc10d78cce3a88576af58 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Mon, 21 Oct 2024 16:03:35 +0200 Subject: [PATCH 17/42] fix mypy error --- src/zampy/datasets/land_cover.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/zampy/datasets/land_cover.py b/src/zampy/datasets/land_cover.py index e4c8358..3c3d66f 100644 --- a/src/zampy/datasets/land_cover.py +++ b/src/zampy/datasets/land_cover.py @@ -230,10 +230,10 @@ def extract_netcdf_to_zampy(file: Path) -> xr.Dataset: ds = ds.sortby(["lat", "lon"]) # noqa: PLW2901 ds = ds.rename({"lat": "latitude", "lon": "longitude"}) # noqa: PLW2901 new_grid = xarray_regrid.Grid( - north=ds["latitude"].max(), - east=ds["longitude"].max(), - south=ds["latitude"].min(), - west=ds["longitude"].min(), + north=ds["latitude"].max().item(), + east=ds["longitude"].max().item(), + south=ds["latitude"].min().item(), + west=ds["longitude"].min().item(), resolution_lat=0.05, resolution_lon=0.05, ) From 71c2224dd096d18720f431d04c4e7f1e80861fda Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Mon, 21 Oct 2024 16:25:18 +0200 Subject: [PATCH 18/42] remove parallel from lai to avoid segmentation fault error --- src/zampy/datasets/fapar_lai.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/src/zampy/datasets/fapar_lai.py b/src/zampy/datasets/fapar_lai.py index 57dd022..81ee720 100644 --- a/src/zampy/datasets/fapar_lai.py +++ b/src/zampy/datasets/fapar_lai.py @@ -150,8 +150,7 @@ def load( variable_names: list[str], ) -> xr.Dataset: files = list((ingest_dir / self.name).glob("*.nc")) - - ds = xr.open_mfdataset(files, parallel=True) + ds = xr.open_mfdataset(files) ds = ds.sel(time=slice(time_bounds.start, time_bounds.end)) grid = xarray_regrid.create_regridding_dataset( From 75e5a67a086bb0b73ad0ecae757baa17675571db Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Mon, 21 Oct 2024 16:26:53 +0200 Subject: [PATCH 19/42] update doc --- docs/index.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/docs/index.md b/docs/index.md index 1f689e2..ae494fd 100644 --- a/docs/index.md +++ b/docs/index.md @@ -71,6 +71,9 @@ zampy /path_to_recipe/sample_recipe.yml >licences have been accepted. Follow the instructions in the error message to >accept the licences and run the recipe again. +When downloading process starts, you can also check the status of your requests +in your CDS/ADS profile. + ### Interact with `zampy` in notebooks From 5b823272cc699cccd059087c6fcdbfcff9e0c131 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Mon, 21 Oct 2024 16:27:54 +0200 Subject: [PATCH 20/42] reduce time range in recipe of stemmus_scope --- recipes/STEMMUS_SCOPE_input.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/recipes/STEMMUS_SCOPE_input.yml b/recipes/STEMMUS_SCOPE_input.yml index f296ac0..1eec3e1 100644 --- a/recipes/STEMMUS_SCOPE_input.yml +++ b/recipes/STEMMUS_SCOPE_input.yml @@ -2,7 +2,7 @@ name: "STEMMUS_SCOPE_input" download: - time: ["2020-01-01", "2020-06-30"] + time: ["2020-01-01", "2020-02-15"] bbox: [60, 10, 50, 0] # NESW datasets: era5_land: From 75df2749c667dff20325271259b0d04e9682417a Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Mon, 21 Oct 2024 17:23:26 +0200 Subject: [PATCH 21/42] replace frequency H with h due to deprecation errors of pandas --- recipes/STEMMUS_SCOPE_input.yml | 2 +- tests/test_recipes/recipes/era5_recipe.yml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/recipes/STEMMUS_SCOPE_input.yml b/recipes/STEMMUS_SCOPE_input.yml index 1eec3e1..f98bd90 100644 --- a/recipes/STEMMUS_SCOPE_input.yml +++ b/recipes/STEMMUS_SCOPE_input.yml @@ -37,5 +37,5 @@ download: convert: convention: ALMA - frequency: 1H # outputs at 1 hour frequency. Pandas-like freq-keyword. + frequency: 1h # outputs at 1 hour frequency. Pandas-like freq-keyword. resolution: 0.25 # output resolution in degrees. diff --git a/tests/test_recipes/recipes/era5_recipe.yml b/tests/test_recipes/recipes/era5_recipe.yml index d2c98af..25a6e5e 100644 --- a/tests/test_recipes/recipes/era5_recipe.yml +++ b/tests/test_recipes/recipes/era5_recipe.yml @@ -12,5 +12,5 @@ download: convert: convention: ALMA - frequency: 1H # outputs at 1 hour frequency. Pandas-like freq-keyword. + frequency: 1h # outputs at 1 hour frequency. Pandas-like freq-keyword. resolution: 0.5 # output resolution in degrees. From f4a5882eb3188c5073f520beaf5e88fdadefe448 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Mon, 21 Oct 2024 17:24:18 +0200 Subject: [PATCH 22/42] add a few more checks in tests --- tests/test_datasets/test_era5.py | 4 ++++ tests/test_datasets/test_era5_land.py | 3 +++ tests/test_datasets/test_land_cover.py | 8 ++++++-- tests/test_recipes/test_simple_recipe.py | 2 ++ 4 files changed, 15 insertions(+), 2 deletions(-) diff --git a/tests/test_datasets/test_era5.py b/tests/test_datasets/test_era5.py index 7e9945e..23b1933 100644 --- a/tests/test_datasets/test_era5.py +++ b/tests/test_datasets/test_era5.py @@ -128,6 +128,10 @@ def test_load(self): np.testing.assert_allclose(ds.latitude.values, expected_lat) np.testing.assert_allclose(ds.longitude.values, expected_lon) + # check if valid_time not in the dataset + assert "valid_time" not in ds.dims + + def test_convert(self, dummy_dir): """Test convert function.""" _, era5_dataset = self.ingest_dummy_data(dummy_dir) diff --git a/tests/test_datasets/test_era5_land.py b/tests/test_datasets/test_era5_land.py index 74376c0..3df352a 100644 --- a/tests/test_datasets/test_era5_land.py +++ b/tests/test_datasets/test_era5_land.py @@ -126,6 +126,9 @@ def test_load(self): np.testing.assert_allclose(ds.latitude.values, expected_lat) np.testing.assert_allclose(ds.longitude.values, expected_lon) + # check if valid_time not in the dataset + assert "valid_time" not in ds.dims + def test_convert(self, dummy_dir): """Test convert function.""" _, era5_land_dataset = self.ingest_dummy_data(dummy_dir) diff --git a/tests/test_datasets/test_land_cover.py b/tests/test_datasets/test_land_cover.py index fed0c34..c7cfbf5 100644 --- a/tests/test_datasets/test_land_cover.py +++ b/tests/test_datasets/test_land_cover.py @@ -94,14 +94,14 @@ def test_ingest(self, dummy_dir): ds, _ = self.ingest_dummy_data(dummy_dir) assert isinstance(ds, xr.Dataset) - @pytest.mark.slow + # @pytest.mark.slow def test_load(self, dummy_dir): """Test load function.""" times = TimeBounds(np.datetime64("1996-01-01"), np.datetime64("1996-12-31")) bbox = SpatialBounds(39, -107, 37, -109) variable = ["land_cover"] - _, land_cover_dataset = self.ingest_dummy_data(dummy_dir) + ingest_ds, land_cover_dataset = self.ingest_dummy_data(dummy_dir) ds = land_cover_dataset.load( ingest_dir=Path(dummy_dir), @@ -118,6 +118,10 @@ def test_load(self, dummy_dir): np.testing.assert_allclose(ds.latitude.values, expected_lat) np.testing.assert_allclose(ds.longitude.values, expected_lon) + # check if unique values of ds are a subset of ingest_ds + assert np.all(np.isin(np.unique(ds.land_cover.values), ingest_ds["land_cover"].attrs["flag_values"])) + + @pytest.mark.slow def test_convert(self, dummy_dir): """Test convert function.""" diff --git a/tests/test_recipes/test_simple_recipe.py b/tests/test_recipes/test_simple_recipe.py index e8dfd18..272a08f 100644 --- a/tests/test_recipes/test_simple_recipe.py +++ b/tests/test_recipes/test_simple_recipe.py @@ -50,6 +50,8 @@ def test_recipe(tmp_path: Path, mocker): ds = xr.open_mfdataset(str(tmp_path / "output" / "era5_recipe" / "*.nc")) assert all(var in ds.data_vars for var in ["Psurf", "Wind_N"]) + # Check if time frequency is correct + assert ds.time.diff("time").min() == np.timedelta64(1, "h") def test_invalid_time_format(): From 540b9e78a48fc77859b95f7793ec2dc419010034 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Mon, 21 Oct 2024 17:27:23 +0200 Subject: [PATCH 23/42] fix linter error --- tests/test_datasets/test_land_cover.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/tests/test_datasets/test_land_cover.py b/tests/test_datasets/test_land_cover.py index c7cfbf5..13409bb 100644 --- a/tests/test_datasets/test_land_cover.py +++ b/tests/test_datasets/test_land_cover.py @@ -119,7 +119,12 @@ def test_load(self, dummy_dir): np.testing.assert_allclose(ds.longitude.values, expected_lon) # check if unique values of ds are a subset of ingest_ds - assert np.all(np.isin(np.unique(ds.land_cover.values), ingest_ds["land_cover"].attrs["flag_values"])) + assert np.all( + np.isin( + np.unique(ds.land_cover.values), + ingest_ds["land_cover"].attrs["flag_values"] + ) + ) @pytest.mark.slow From 3ae66033332f082383c4ff82ce39142a1de5abb3 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Mon, 21 Oct 2024 17:35:25 +0200 Subject: [PATCH 24/42] fix ruff errors --- tests/test_datasets/test_era5.py | 1 - tests/test_datasets/test_land_cover.py | 5 ++--- 2 files changed, 2 insertions(+), 4 deletions(-) diff --git a/tests/test_datasets/test_era5.py b/tests/test_datasets/test_era5.py index 23b1933..5bb4c81 100644 --- a/tests/test_datasets/test_era5.py +++ b/tests/test_datasets/test_era5.py @@ -131,7 +131,6 @@ def test_load(self): # check if valid_time not in the dataset assert "valid_time" not in ds.dims - def test_convert(self, dummy_dir): """Test convert function.""" _, era5_dataset = self.ingest_dummy_data(dummy_dir) diff --git a/tests/test_datasets/test_land_cover.py b/tests/test_datasets/test_land_cover.py index 13409bb..d8ccf2a 100644 --- a/tests/test_datasets/test_land_cover.py +++ b/tests/test_datasets/test_land_cover.py @@ -122,10 +122,9 @@ def test_load(self, dummy_dir): assert np.all( np.isin( np.unique(ds.land_cover.values), - ingest_ds["land_cover"].attrs["flag_values"] - ) + ingest_ds["land_cover"].attrs["flag_values"], ) - + ) @pytest.mark.slow def test_convert(self, dummy_dir): From 5ba1f7f1cc6749b0b381c2fc5033b5a3746a3845 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Mon, 21 Oct 2024 17:39:15 +0200 Subject: [PATCH 25/42] fix a minor thing --- tests/test_datasets/test_land_cover.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_datasets/test_land_cover.py b/tests/test_datasets/test_land_cover.py index d8ccf2a..bd12dc1 100644 --- a/tests/test_datasets/test_land_cover.py +++ b/tests/test_datasets/test_land_cover.py @@ -94,7 +94,7 @@ def test_ingest(self, dummy_dir): ds, _ = self.ingest_dummy_data(dummy_dir) assert isinstance(ds, xr.Dataset) - # @pytest.mark.slow + @pytest.mark.slow def test_load(self, dummy_dir): """Test load function.""" times = TimeBounds(np.datetime64("1996-01-01"), np.datetime64("1996-12-31")) From 42edfc3d666d6b7b526137021d8954fe16affe6d Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Tue, 22 Oct 2024 13:58:33 +0200 Subject: [PATCH 26/42] add more tests for frequency in recipe --- tests/test_recipes/test_simple_recipe.py | 141 +++++++++++++++++++++++ 1 file changed, 141 insertions(+) diff --git a/tests/test_recipes/test_simple_recipe.py b/tests/test_recipes/test_simple_recipe.py index 272a08f..6679ae8 100644 --- a/tests/test_recipes/test_simple_recipe.py +++ b/tests/test_recipes/test_simple_recipe.py @@ -13,6 +13,7 @@ from zampy.datasets.dataset_protocol import write_properties_file from zampy.recipe import RecipeManager from zampy.recipe import convert_time +import pandas as pd RECIPE_FILE = Path(__file__).parent / "recipes" / "era5_recipe.yml" @@ -53,6 +54,146 @@ def test_recipe(tmp_path: Path, mocker): # Check if time frequency is correct assert ds.time.diff("time").min() == np.timedelta64(1, "h") +def test_recipe_with_lower_frequency(tmp_path: Path, mocker): + with ( + patch.object(DATASETS["era5"], "download"), + ): + dask.distributed.Client() + + mocker.patch( + "zampy.recipe.config_loader", + return_value={"working_directory": str(tmp_path.absolute())}, + ) + rm = RecipeManager(RECIPE_FILE.absolute()) + rm.frequency = "6h" # change the frequency of the recipe + + spatial_bounds = SpatialBounds(51, 4, 50, 3) + time_bounds = TimeBounds( + np.datetime64("2020-01-01T00:00"), np.datetime64("2020-01-01T23:59") + ) + variables = ["northward_component_of_wind", "surface_pressure"] + + generate_test_data.generate_era5_files( + directory=tmp_path / "download", + variables=variables, + spatial_bounds=spatial_bounds, + time_bounds=time_bounds, + ) + write_properties_file( + tmp_path / "download" / "era5", spatial_bounds, time_bounds, variables + ) + + rm.run() + + ds = xr.open_mfdataset(str(tmp_path / "output" / "era5_recipe" / "*.nc")) + # check the lenght of the time dimension, mean values are used + assert len(ds.time) == 4 + +def test_recipe_with_higher_frequency(tmp_path: Path, mocker): + with ( + patch.object(DATASETS["era5"], "download"), + ): + dask.distributed.Client() + + mocker.patch( + "zampy.recipe.config_loader", + return_value={"working_directory": str(tmp_path.absolute())}, + ) + rm = RecipeManager(RECIPE_FILE.absolute()) + rm.frequency = "30min" # change the frequency of the recipe + + spatial_bounds = SpatialBounds(51, 4, 50, 3) + time_bounds = TimeBounds( + np.datetime64("2020-01-01T00:00"), np.datetime64("2020-01-01T23:59") + ) + variables = ["northward_component_of_wind", "surface_pressure"] + + generate_test_data.generate_era5_files( + directory=tmp_path / "download", + variables=variables, + spatial_bounds=spatial_bounds, + time_bounds=time_bounds, + ) + write_properties_file( + tmp_path / "download" / "era5", spatial_bounds, time_bounds, variables + ) + + rm.run() + + ds = xr.open_mfdataset(str(tmp_path / "output" / "era5_recipe" / "*.nc")) + # check the lenght of the time dimension, data is interpolated + assert len(ds.time) == 47 + +def test_recipe_with_two_time_values(tmp_path: Path, mocker): + with ( + patch.object(DATASETS["era5"], "download"), + ): + dask.distributed.Client() + + mocker.patch( + "zampy.recipe.config_loader", + return_value={"working_directory": str(tmp_path.absolute())}, + ) + rm = RecipeManager(RECIPE_FILE.absolute()) + + spatial_bounds = SpatialBounds(51, 4, 50, 3) + time_bounds = TimeBounds( + np.datetime64("2020-01-01T00:00"), np.datetime64("2020-01-01T02:00") + ) + variables = ["northward_component_of_wind", "surface_pressure"] + + generate_test_data.generate_era5_files( + directory=tmp_path / "download", + variables=variables, + spatial_bounds=spatial_bounds, + time_bounds=time_bounds, + ) + write_properties_file( + tmp_path / "download" / "era5", spatial_bounds, time_bounds, variables + ) + + rm.run() + + ds = xr.open_mfdataset(str(tmp_path / "output" / "era5_recipe" / "*.nc")) + # check the lenght of the time dimension + assert len(ds.time) == 2 + + +def test_recipe_with_one_time_values(tmp_path: Path, mocker): + with ( + patch.object(DATASETS["era5"], "download"), + ): + dask.distributed.Client() + + mocker.patch( + "zampy.recipe.config_loader", + return_value={"working_directory": str(tmp_path.absolute())}, + ) + rm = RecipeManager(RECIPE_FILE.absolute()) + + spatial_bounds = SpatialBounds(51, 4, 50, 3) + time_bounds = TimeBounds( + np.datetime64("2020-01-01T00:00"), np.datetime64("2020-01-01T00:00") + ) + variables = ["northward_component_of_wind", "surface_pressure"] + + generate_test_data.generate_era5_files( + directory=tmp_path / "download", + variables=variables, + spatial_bounds=spatial_bounds, + time_bounds=time_bounds, + ) + write_properties_file( + tmp_path / "download" / "era5", spatial_bounds, time_bounds, variables + ) + + rm.run() + + ds = xr.open_mfdataset(str(tmp_path / "output" / "era5_recipe" / "*.nc")) + # check the lenght of the time dimension, should not do interpolation or + # extrapolation in time + assert len(ds.time) == 1 + def test_invalid_time_format(): time_from_recipe = "2020-1-01" From 1eab581294bf96c79c512b83274420471182f83e Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Tue, 22 Oct 2024 13:59:58 +0200 Subject: [PATCH 27/42] remove unused import from test_recipe --- tests/test_recipes/test_simple_recipe.py | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/test_recipes/test_simple_recipe.py b/tests/test_recipes/test_simple_recipe.py index 6679ae8..5d034b8 100644 --- a/tests/test_recipes/test_simple_recipe.py +++ b/tests/test_recipes/test_simple_recipe.py @@ -13,7 +13,6 @@ from zampy.datasets.dataset_protocol import write_properties_file from zampy.recipe import RecipeManager from zampy.recipe import convert_time -import pandas as pd RECIPE_FILE = Path(__file__).parent / "recipes" / "era5_recipe.yml" From 49637d108e2e756265176de97077eb94cfa2cfc4 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Tue, 22 Oct 2024 14:56:23 +0200 Subject: [PATCH 28/42] fix ruff format --- tests/test_recipes/test_simple_recipe.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/tests/test_recipes/test_simple_recipe.py b/tests/test_recipes/test_simple_recipe.py index 5d034b8..413525b 100644 --- a/tests/test_recipes/test_simple_recipe.py +++ b/tests/test_recipes/test_simple_recipe.py @@ -53,6 +53,7 @@ def test_recipe(tmp_path: Path, mocker): # Check if time frequency is correct assert ds.time.diff("time").min() == np.timedelta64(1, "h") + def test_recipe_with_lower_frequency(tmp_path: Path, mocker): with ( patch.object(DATASETS["era5"], "download"), @@ -88,6 +89,7 @@ def test_recipe_with_lower_frequency(tmp_path: Path, mocker): # check the lenght of the time dimension, mean values are used assert len(ds.time) == 4 + def test_recipe_with_higher_frequency(tmp_path: Path, mocker): with ( patch.object(DATASETS["era5"], "download"), @@ -123,6 +125,7 @@ def test_recipe_with_higher_frequency(tmp_path: Path, mocker): # check the lenght of the time dimension, data is interpolated assert len(ds.time) == 47 + def test_recipe_with_two_time_values(tmp_path: Path, mocker): with ( patch.object(DATASETS["era5"], "download"), From c24bbf740dd7f6462646306a32c7197980695c67 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Tue, 22 Oct 2024 16:08:36 +0200 Subject: [PATCH 29/42] refactor get_url_size --- src/zampy/datasets/utils.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/src/zampy/datasets/utils.py b/src/zampy/datasets/utils.py index a737baa..1e3a237 100644 --- a/src/zampy/datasets/utils.py +++ b/src/zampy/datasets/utils.py @@ -43,10 +43,13 @@ def download_url(url: str, fpath: Path, overwrite: bool) -> None: print(f"File '{fpath.name}' already exists, skipping...") -def get_url_size(url: str) -> int: +def get_url_size(url: str) -> int | None: """Return the size (bytes) of a given URL.""" response = requests.head(url) - return int(response.headers["Content-Length"]) + content_length = response.headers.get("Content-Length") + if content_length: + return int(content_length) + return None def get_file_size(fpath: Path) -> int: From 0cab2df1154e9eb854edde1c63d457735983e045 Mon Sep 17 00:00:00 2001 From: SarahAlidoost <55081872+SarahAlidoost@users.noreply.github.com> Date: Fri, 25 Oct 2024 14:51:09 +0200 Subject: [PATCH 30/42] Update docs/index.md Co-authored-by: Bart Schilperoort --- docs/index.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/docs/index.md b/docs/index.md index ae494fd..f1837c4 100644 --- a/docs/index.md +++ b/docs/index.md @@ -67,9 +67,11 @@ When you have your reciped created and saved on your disk, you can execute your zampy /path_to_recipe/sample_recipe.yml ``` ->NOTE: You may recieve an error message from CDS/ADS if not all the required ->licences have been accepted. Follow the instructions in the error message to ->accept the licences and run the recipe again. +!!! note + + You may recieve an error message from CDS/ADS if not all the required + licences have been accepted. Follow the instructions in the error message to + accept the licences and run the recipe again. When downloading process starts, you can also check the status of your requests in your CDS/ADS profile. From b3bdeb7c1ef8342b1416b0eacedbc61cd15cb045 Mon Sep 17 00:00:00 2001 From: SarahAlidoost Date: Wed, 30 Oct 2024 12:18:42 +0100 Subject: [PATCH 31/42] update test dataset, and related tests --- tests/__init__.py | 34 ++++ tests/generate_test_data.py | 152 ++++++++++++++++++ tests/test_cds_utils.py | 34 ++-- tests/test_converter.py | 2 +- ...co2_concentration_2003_01_02-2003_01_04.nc | Bin 16640 -> 0 bytes ...co2_concentration_2020_01_01-2020_02_15.nc | Bin 0 -> 29152 bytes tests/test_data/cams/properties.json | 11 ++ .../era5-land_air_temperature_1996-1.nc | Bin 162496 -> 0 bytes .../era5-land_air_temperature_2020-1.nc | Bin 0 -> 25259 bytes .../era5-land_dewpoint_temperature_1996-1.nc | Bin 162496 -> 0 bytes .../era5-land_dewpoint_temperature_2020-1.nc | Bin 0 -> 25259 bytes tests/test_data/era5-land/properties.json | 11 ++ .../era5_eastward_component_of_wind_1996-1.nc | Bin 33280 -> 0 bytes .../era5_eastward_component_of_wind_2020-1.nc | Bin 0 -> 25277 bytes ...era5_northward_component_of_wind_1996-1.nc | Bin 33280 -> 0 bytes ...era5_northward_component_of_wind_2020-1.nc | Bin 0 -> 25277 bytes .../era5/era5_surface_pressure_1996-1.nc | Bin 33280 -> 0 bytes .../era5/era5_surface_pressure_2020-1.nc | Bin 0 -> 25277 bytes ...urface_solar_radiation_downwards_1996-1.nc | Bin 33280 -> 0 bytes ...urface_solar_radiation_downwards_2020-1.nc | Bin 0 -> 25275 bytes ...face_thermal_radiation_downwards_1996-1.nc | Bin 33280 -> 0 bytes ...face_thermal_radiation_downwards_2020-1.nc | Bin 0 -> 25275 bytes .../era5/era5_total_precipitation_1996-1.nc | Bin 33280 -> 0 bytes .../era5/era5_total_precipitation_2020-1.nc | Bin 0 -> 25273 bytes tests/test_data/era5/properties.json | 16 ++ ...lobalCanopyHeight_10m_2020_N51E003_Map.tif | Bin 231076 -> 512 bytes .../eth-canopy-height/properties.json | 11 ++ .../download/fapar-lai/properties.json | 0 .../fapar-lai/satellite-lai-fapar_2019-1.zip | Bin 16357498 -> 0 bytes .../test_data/fapar-lai/generate_fake_data.py | 87 ---------- ..._LAI_20190110000000_GLOBE_PROBAV_V3.0.1.nc | Bin 5452326 -> 0 bytes ..._LAI_20190120000000_GLOBE_PROBAV_V3.0.1.nc | Bin 5452326 -> 0 bytes ..._LAI_20190131000000_GLOBE_PROBAV_V3.0.1.nc | Bin 5452326 -> 0 bytes .../ingest/fapar-lai/properties.json | 0 tests/test_data/fapar-lai/properties.json | 11 ++ .../fapar-lai/satellite-lai-fapar_2020-1.zip | Bin 0 -> 21410 bytes .../land-cover_LCCS_MAP_300m_1996.zip | Bin 2515 -> 0 bytes .../land-cover_LCCS_MAP_300m_2020.zip | Bin 0 -> 13519 bytes tests/test_data/land-cover/properties.json | 11 ++ .../Copernicus_DSM_30_N50_00_E000_00.tar | Bin 0 -> 5130240 bytes .../Copernicus_DSM_30_N53_00_E004_00.tar | Bin 3999232 -> 0 bytes tests/test_data/prism-dem-90/properties.json | 11 ++ tests/test_datasets/__init__.py | 21 --- tests/test_datasets/test_cams.py | 19 +-- tests/test_datasets/test_era5.py | 29 ++-- tests/test_datasets/test_era5_land.py | 29 ++-- tests/test_datasets/test_eth_canopy_height.py | 16 +- tests/test_datasets/test_fapar_lai.py | 38 ++--- tests/test_datasets/test_land_cover.py | 30 ++-- tests/test_datasets/test_prism_dem.py | 16 +- 50 files changed, 374 insertions(+), 215 deletions(-) create mode 100644 tests/__init__.py create mode 100644 tests/generate_test_data.py delete mode 100644 tests/test_data/cams/cams_co2_concentration_2003_01_02-2003_01_04.nc create mode 100644 tests/test_data/cams/cams_co2_concentration_2020_01_01-2020_02_15.nc delete mode 100644 tests/test_data/era5-land/era5-land_air_temperature_1996-1.nc create mode 100644 tests/test_data/era5-land/era5-land_air_temperature_2020-1.nc delete mode 100644 tests/test_data/era5-land/era5-land_dewpoint_temperature_1996-1.nc create mode 100644 tests/test_data/era5-land/era5-land_dewpoint_temperature_2020-1.nc delete mode 100644 tests/test_data/era5/era5_eastward_component_of_wind_1996-1.nc create mode 100644 tests/test_data/era5/era5_eastward_component_of_wind_2020-1.nc delete mode 100644 tests/test_data/era5/era5_northward_component_of_wind_1996-1.nc create mode 100644 tests/test_data/era5/era5_northward_component_of_wind_2020-1.nc delete mode 100644 tests/test_data/era5/era5_surface_pressure_1996-1.nc create mode 100644 tests/test_data/era5/era5_surface_pressure_2020-1.nc delete mode 100644 tests/test_data/era5/era5_surface_solar_radiation_downwards_1996-1.nc create mode 100644 tests/test_data/era5/era5_surface_solar_radiation_downwards_2020-1.nc delete mode 100644 tests/test_data/era5/era5_surface_thermal_radiation_downwards_1996-1.nc create mode 100644 tests/test_data/era5/era5_surface_thermal_radiation_downwards_2020-1.nc delete mode 100644 tests/test_data/era5/era5_total_precipitation_1996-1.nc create mode 100644 tests/test_data/era5/era5_total_precipitation_2020-1.nc delete mode 100644 tests/test_data/fapar-lai/download/fapar-lai/properties.json delete mode 100644 tests/test_data/fapar-lai/download/fapar-lai/satellite-lai-fapar_2019-1.zip delete mode 100644 tests/test_data/fapar-lai/generate_fake_data.py delete mode 100644 tests/test_data/fapar-lai/ingest/fapar-lai/c3s_LAI_20190110000000_GLOBE_PROBAV_V3.0.1.nc delete mode 100644 tests/test_data/fapar-lai/ingest/fapar-lai/c3s_LAI_20190120000000_GLOBE_PROBAV_V3.0.1.nc delete mode 100644 tests/test_data/fapar-lai/ingest/fapar-lai/c3s_LAI_20190131000000_GLOBE_PROBAV_V3.0.1.nc delete mode 100644 tests/test_data/fapar-lai/ingest/fapar-lai/properties.json create mode 100644 tests/test_data/fapar-lai/properties.json create mode 100644 tests/test_data/fapar-lai/satellite-lai-fapar_2020-1.zip delete mode 100644 tests/test_data/land-cover/land-cover_LCCS_MAP_300m_1996.zip create mode 100644 tests/test_data/land-cover/land-cover_LCCS_MAP_300m_2020.zip create mode 100644 tests/test_data/prism-dem-90/Copernicus_DSM_30_N50_00_E000_00.tar delete mode 100644 tests/test_data/prism-dem-90/Copernicus_DSM_30_N53_00_E004_00.tar diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..3968bbd --- /dev/null +++ b/tests/__init__.py @@ -0,0 +1,34 @@ +"""This module contains all tests for datasets included in zampy.""" + +from pathlib import Path +from zampy.recipe import config_loader +from . import generate_test_data + + +test_folder = Path(__file__).resolve().parents[0] +data_folder = test_folder / "test_data" + +ALL_DAYS = [ + "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", + "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", + "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", + "31", +] # fmt: skip + +ALL_HOURS = [ + "00:00", "01:00", "02:00", "03:00", "04:00", "05:00", "06:00", + "07:00", "08:00", "09:00", "10:00", "11:00", "12:00", "13:00", + "14:00", "15:00", "16:00", "17:00", "18:00", "19:00", "20:00", + "21:00", "22:00", "23:00", +] # fmt: skip + + +# Generate test data if it does not exist +# it assumes that the recipe +# zampy/recipes/STEMMUS_SCOPE_input.yml has been ran. +config = config_loader() +download_dir = Path(config["working_directory"]) / "download" + +if not data_folder.exists(): + data_folder.mkdir(parents=True, exist_ok=True) + generate_test_data.generate_test_data(download_dir, data_folder) diff --git a/tests/generate_test_data.py b/tests/generate_test_data.py new file mode 100644 index 0000000..e02c3cc --- /dev/null +++ b/tests/generate_test_data.py @@ -0,0 +1,152 @@ +"""Generates test data for running the tests. + +The recipe zampy/recipes/STEMMUS_SCOPE_input.yml should be used to download the +data before running this script. +""" + +import shutil +import xarray as xr + + +TEST_DATA_NAME = { + "cams": "cams_co2_concentration_2020_01_01-2020_02_15.nc", + "era5": [ + "era5_northward_component_of_wind_2020-1.nc", + "era5_eastward_component_of_wind_2020-1.nc", + "era5_total_precipitation_2020-1.nc", + "era5_surface_pressure_2020-1.nc", + "era5_surface_solar_radiation_downwards_2020-1.nc", + "era5_surface_thermal_radiation_downwards_2020-1.nc", + ], + "era5-land": [ + "era5-land_dewpoint_temperature_2020-1.nc", + "era5-land_air_temperature_2020-1.nc"], + "eth-canopy-height": "ETH_GlobalCanopyHeight_10m_2020_N51E003_Map.tif", + "fapar-lai": "satellite-lai-fapar_2020-1.zip", + "land-cover": "land-cover_LCCS_MAP_300m_2020.zip", + "prism-dem-90": "Copernicus_DSM_30_N50_00_E000_00.tar", +} + +def _subset_ncfile(input_file, output_file): + ds = xr.open_dataset(input_file) + subset = ds.isel( + valid_time=slice(0, min(4, ds.valid_time.size)), + latitude=slice(0, min(4, ds.latitude.size)), + longitude=slice(0, min(4, ds.longitude.size)), + ) + subset.to_netcdf(output_file) + + +def _subset_tiffile(input_file, output_file): + da = xr.open_dataarray( + input_file, engine="rasterio", chunks={"x": 200, "y": 200} + ) + subset = da.isel( + x=slice(0, min(4, da.x.size)), + y=slice(0, min(4, da.y.size)), + ) + subset.rio.to_raster(output_file) + +def _subset_zipfile_include_ncfiles(input_file, output_dir): + format = input_file.suffix.lstrip('.') + zip_file_name = input_file.stem + temp_dir = output_dir / zip_file_name + temp_dir.mkdir(parents=True, exist_ok=True) + + shutil.unpack_archive( + input_file, extract_dir=output_dir, format=format + ) + ncfiles = output_dir.glob("*.nc") + + for ncfile in ncfiles: + ds = xr.open_dataset(ncfile) + # select a subset of the data + subset = ds.isel( + time=slice(0, min(100, ds.time.size)), + lat=slice(0, min(100, ds.lat.size)), + lon=slice(0, min(100, ds.lon.size)), + ) + + # remove the original file + ncfile.unlink() + + # Save back to the original format + subset.to_netcdf(temp_dir / ncfile.name) + + # archive back to zip + base_name = output_dir / zip_file_name + shutil.make_archive(base_name, format, temp_dir) + + # remove the temp_dir + shutil.rmtree(temp_dir) + + +def _subset_tarfile_include_tiffiles(input_file, output_dir): + format = input_file.suffix.lstrip('.') + zip_file_name = input_file.stem + temp_dir = output_dir / zip_file_name + temp_dir.mkdir(parents=True, exist_ok=True) + + shutil.unpack_archive(input_file, extract_dir=temp_dir, format=format) + tifffile = list((temp_dir / zip_file_name / "DEM").glob("*.tif"))[0] + + da = xr.open_dataarray(tifffile, engine="rasterio", chunks={"x": 200, "y": 200}) + + # select a subset of the data + subset = da.isel( + x=slice(0, min(100, da.x.size)), + y=slice(0, min(100, da.y.size)), + ) + + # remove the original file + tifffile.unlink() + + # Save back to the original format as a tif + subset.rio.to_raster(tifffile) + + # archive back to zip + base_name = output_dir / zip_file_name + root_dir = output_dir / zip_file_name + shutil.make_archive(base_name, format, root_dir, zip_file_name) + + # remove the temp_dir + shutil.rmtree(root_dir) + + +def prepare_dataset(path, data_name, output_dir): + """Open a dataset as an xarray dataset.""" + if data_name in {"cams", "era5", "era5-land"}: + _subset_ncfile(path, output_dir / path.name) + + if data_name in {"eth-canopy-height"}: + _subset_tiffile(path, output_dir / path.name) + + if data_name in {"fapar-lai", "land-cover"}: + _subset_zipfile_include_ncfiles(path, output_dir) + + if data_name == "prism-dem-90": + _subset_tarfile_include_tiffiles(path, output_dir) + + +def generate_test_data(data_dir, test_dir): + """Generate test data for the recipe tests.""" + + for data_name in TEST_DATA_NAME.keys(): + output_dir = test_dir / data_name + output_dir.mkdir(parents=True, exist_ok=True) + + # copy properties.json + shutil.copy(data_dir / data_name / "properties.json", output_dir) + + # subset data + if isinstance(TEST_DATA_NAME[data_name], list): + for file_name in TEST_DATA_NAME[data_name]: + path = data_dir / data_name / file_name + prepare_dataset(path, data_name, output_dir) + else: + path = data_dir / data_name / TEST_DATA_NAME[data_name] + prepare_dataset(path, data_name, output_dir) + + print(f"Generated test data for {data_name} in {output_dir}") + + print("Done generating test data.") diff --git a/tests/test_cds_utils.py b/tests/test_cds_utils.py index 6a869e9..15e7003 100644 --- a/tests/test_cds_utils.py +++ b/tests/test_cds_utils.py @@ -5,12 +5,12 @@ import numpy as np import pytest import xarray as xr -from test_datasets import ALL_DAYS -from test_datasets import ALL_HOURS -from test_datasets import data_folder from zampy.datasets import cds_utils from zampy.datasets.dataset_protocol import SpatialBounds from zampy.datasets.dataset_protocol import TimeBounds +from . import ALL_DAYS +from . import ALL_HOURS +from . import data_folder @pytest.fixture(scope="function") @@ -118,7 +118,7 @@ def test_cds_request_land_cover(mock_retrieve, valid_path_config): """ "Test cds request for downloading data from CDS server.""" dataset = "satellite-land-cover" time_bounds = TimeBounds( - np.datetime64("1996-01-01T00:00:00"), np.datetime64("1996-12-31T00:00:00") + np.datetime64("2020-01-01T00:00:00"), np.datetime64("2020-12-31T00:00:00") ) path = Path(__file__).resolve().parent overwrite = True @@ -139,8 +139,8 @@ def test_cds_request_land_cover(mock_retrieve, valid_path_config): { "variable": "all", "format": "zip", - "year": "1996", - "version": "v2_0_7cds", + "year": "2020", + "version": "v2_1_1", "area": [54, 3, 1, 56], }, ) @@ -185,11 +185,11 @@ def test_convert_to_zampy(dummy_dir): ingest_folder = Path(data_folder, "era5") cds_utils.convert_to_zampy( ingest_folder=Path(dummy_dir), - file=Path(ingest_folder, "era5_northward_component_of_wind_1996-1.nc"), + file=Path(ingest_folder, "era5_northward_component_of_wind_2020-1.nc"), overwrite=True, ) - ds = xr.load_dataset(Path(dummy_dir, "era5_northward_component_of_wind_1996-1.nc")) + ds = xr.load_dataset(Path(dummy_dir, "era5_northward_component_of_wind_2020-1.nc")) assert list(ds.data_vars)[0] == "northward_component_of_wind" @@ -202,7 +202,7 @@ def test_parse_nc_file_10m_wind(self): variables = ["northward_component_of_wind", "eastward_component_of_wind"] for variable in variables: ds = cds_utils.parse_nc_file( - data_folder / "era5" / f"era5_{variable}_1996-1.nc" + data_folder / "era5" / f"era5_{variable}_2020-1.nc" ) expected_var_name = variable assert list(ds.data_vars)[0] == expected_var_name @@ -216,10 +216,10 @@ def test_parse_nc_file_radiation(self): } for variable in variables: ds_original = xr.load_dataset( - data_folder / "era5" / f"era5_{variable}_1996-1.nc" + data_folder / "era5" / f"era5_{variable}_2020-1.nc" ) ds = cds_utils.parse_nc_file( - data_folder / "era5" / f"era5_{variable}_1996-1.nc" + data_folder / "era5" / f"era5_{variable}_2020-1.nc" ) assert list(ds.data_vars)[0] == variable @@ -233,10 +233,10 @@ def test_parse_nc_file_radiation(self): def test_parse_nc_file_precipitation(self): """Test parsing netcdf file function with precipitation.""" ds_original = xr.load_dataset( - data_folder / "era5" / "era5_total_precipitation_1996-1.nc" + data_folder / "era5" / "era5_total_precipitation_2020-1.nc" ) ds = cds_utils.parse_nc_file( - data_folder / "era5" / "era5_total_precipitation_1996-1.nc" + data_folder / "era5" / "era5_total_precipitation_2020-1.nc" ) expected_var_name = "total_precipitation" @@ -251,7 +251,7 @@ def test_parse_nc_file_precipitation(self): def test_parse_nc_file_pressure(self): """Test parsing netcdf file function with surface pressure.""" ds = cds_utils.parse_nc_file( - data_folder / "era5" / "era5_surface_pressure_1996-1.nc" + data_folder / "era5" / "era5_surface_pressure_2020-1.nc" ) expected_var_name = "surface_pressure" @@ -261,7 +261,7 @@ def test_parse_nc_file_pressure(self): def test_parse_nc_file_air_temperature(self): """Test parsing netcdf file function with 2 meter temperature.""" ds = cds_utils.parse_nc_file( - data_folder / "era5-land" / "era5-land_air_temperature_1996-1.nc" + data_folder / "era5-land" / "era5-land_air_temperature_2020-1.nc" ) expected_var_name = "air_temperature" @@ -271,7 +271,7 @@ def test_parse_nc_file_air_temperature(self): def test_parse_nc_file_dew_temperature(self): """Test parsing netcdf file function with 2 meter dewpoint temperature.""" ds = cds_utils.parse_nc_file( - data_folder / "era5-land" / "era5-land_dewpoint_temperature_1996-1.nc" + data_folder / "era5-land" / "era5-land_dewpoint_temperature_2020-1.nc" ) expected_var_name = "dewpoint_temperature" @@ -281,7 +281,7 @@ def test_parse_nc_file_dew_temperature(self): def test_parse_nc_file_co2_concentration(self): """Test parsing netcdf file function with co2 concentration.""" ds = cds_utils.parse_nc_file( - data_folder / "cams" / "cams_co2_concentration_2003_01_02-2003_01_04.nc" + data_folder / "cams" / "cams_co2_concentration_2020_01_01-2020_02_15.nc" ) expected_var_name = "co2_concentration" diff --git a/tests/test_converter.py b/tests/test_converter.py index ca2239c..10bd572 100644 --- a/tests/test_converter.py +++ b/tests/test_converter.py @@ -4,10 +4,10 @@ import numpy as np import pytest import xarray as xr -from test_datasets import data_folder from zampy.datasets import converter from zampy.datasets.catalog import EthCanopyHeight 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-import xarray as xr - - -if __name__ == "__main__": - download_path = Path("download") - ingest_path = Path("ingest") - download_path.mkdir(exist_ok=True) - ingest_path.mkdir(exist_ok=True) - - # Generate raw NC files: - latitude = np.linspace(80, -59.99107142876241, num=15680, endpoint=True) - longitude = np.linspace(-180, 180, num=40320, endpoint=True) - dummy_data = np.ones((1, len(latitude), len(longitude))) - encoding = {"LAI": {"zlib": True, "complevel": 8}} - days = [10, 20, 31] - - fnames: list[Path] = [] - for day in days: - time = np.array([np.datetime64(f"2019-01-{day}")]) - - da = xr.DataArray( - data=dummy_data, - dims=[ - "time", - "lat", - "lon", - ], - coords={"time": time, "lat": latitude, "lon": longitude}, - ) - - da.name = "LAI" - da.attrs = { - "long_name": "Effective Leaf Area Index 1km", - "grid_mapping": "crs", - "standard_name": "leaf_area_index", - "units": "fraction", - "valid_range": np.array([0, 65534], dtype=np.uint16), - } - ds = da.to_dataset() - - fname = f"c3s_LAI_201901{day}000000_GLOBE_PROBAV_V3.0.1.nc" - - ds.to_netcdf(fname, encoding=encoding) - fnames.append(Path(fname)) - - # Zip em up - zip_fname = "satellite-lai-fapar_2019-1.zip" - with zipfile.ZipFile(download_path / zip_fname, mode="w") as zipf: - for fname in fnames: - zipf.write(fname) - - # Clean up raw nc files - for fname in fnames: - fname.unlink() - - # Generate ingested nc files: - encoding = {"leaf_area_index": {"zlib": True, "complevel": 8}} - for day in days: - time = np.array([np.datetime64(f"2019-01-{day}")]) - - da = xr.DataArray( - data=dummy_data, - dims=[ - "time", - "latitude", - "longitude", - ], - coords={"time": time, "latitude": latitude, "longitude": longitude}, - ) - - da.name = "leaf_area_index" - da.attrs = { - "long_name": "Effective Leaf Area Index 1km", - "grid_mapping": "crs", - "standard_name": "leaf_area_index", - "units": "fraction", - "valid_range": np.array([0, 65534], dtype=np.uint16), - } - ds = da.to_dataset() - - fname = 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