From 2441448315480923ee1780405bf5066789425c31 Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Fri, 15 Dec 2023 17:01:38 +0000 Subject: [PATCH 01/22] Start on GFS Service --- README.md | 2 + .../internal/inputs/noaa/__init__.py | 5 + .../internal/inputs/noaa/_consts.py | 33 ++ .../internal/inputs/noaa/_models.py | 26 ++ src/nwp_consumer/internal/inputs/noaa/ncar.py | 370 ++++++++++++++++++ src/nwp_consumer/internal/inputs/noaa/ncep.py | 370 ++++++++++++++++++ .../internal/inputs/noaa/test_ncep.py | 112 ++++++ 7 files changed, 918 insertions(+) create mode 100644 src/nwp_consumer/internal/inputs/noaa/__init__.py create mode 100644 src/nwp_consumer/internal/inputs/noaa/_consts.py create mode 100644 src/nwp_consumer/internal/inputs/noaa/_models.py create mode 100644 src/nwp_consumer/internal/inputs/noaa/ncar.py create mode 100644 src/nwp_consumer/internal/inputs/noaa/ncep.py create mode 100644 src/nwp_consumer/internal/inputs/noaa/test_ncep.py diff --git a/README.md b/README.md index 72cfa844..891b77a6 100644 --- a/README.md +++ b/README.md @@ -30,6 +30,8 @@ currently packaged with adapters for pulling and converting `.grib` data from: - [ECMWF MARS API](https://apps.ecmwf.int/mars-catalogue) - [DWD's ICON Model from the Opendata API](https://opendata.dwd.de) - [CMC's GDPS Model from the Opendata API](https://dd.weather.gc.ca/) +- [NOAA's GFS Model from NCEP's NOMADS](https://nomads.ncep.noaa.gov/pub/data/nccf/com/gfs/prod/) +- [NOAA's GFS Model from NCAR's Archive](https://rda.ucar.edu/datasets/ds084.1/) Similarly, the service can write to multiple sinks: diff --git a/src/nwp_consumer/internal/inputs/noaa/__init__.py b/src/nwp_consumer/internal/inputs/noaa/__init__.py new file mode 100644 index 00000000..950d8540 --- /dev/null +++ b/src/nwp_consumer/internal/inputs/noaa/__init__.py @@ -0,0 +1,5 @@ +__all__ = ["NCEPClient", "NCARClient"] + +from .ncar import Client as NCARClient +from .ncep import Client as NCEPClient + diff --git a/src/nwp_consumer/internal/inputs/noaa/_consts.py b/src/nwp_consumer/internal/inputs/noaa/_consts.py new file mode 100644 index 00000000..fde186e4 --- /dev/null +++ b/src/nwp_consumer/internal/inputs/noaa/_consts.py @@ -0,0 +1,33 @@ +"""Defines all parameters available from icon.""" + + +EU_SL_VARS = [ + "alb_rad", "alhfl_s", "ashfl_s", "asob_s", "asob_t", + "aswdifd_s", "aswdifu_s", "aswdir_s", "athb_s", + "athb_t", "aumfl_s" "avmfl_s", + "cape_con", "cape_ml", "clch", "clcl", "clcm", "clct", "clct_mod", "cldepth", + "h_snow", "hbas_con", "htop_con", "htop_dc", "hzerocl", + "pmsl", "ps", + "qv_2m", "qv_s", + "rain_con", "rain_gsp", "relhum_2m", "rho_snow", "runoff_g", "runoff_s", + "snow_con", "snow_gsp", "snowlmt", "synmsg_bt_cl_ir10.8", + "t_2m", "t_g", "t_snow", "tch", "tcm", "td_2m", + "tmax_2m", "tmin_2m", "tot_prec", "tqc", "tqi", + "u_10m", "v_10m", "vmax_10m", + "w_snow", "w_so", "ww", + "z0", +] + +EU_ML_VARS = ["clc", "fi", "omega", "p", "qv", "relhum", "t", "tke", "u", "v", "w"] + +GLOBAL_SL_VARS = [ + *EU_SL_VARS, + "alb_rad", + "c_t_lk", + "freshsnw", "fr_ice", + "h_ice", "h_ml_lk", + "t_ice", "t_s", "tqr", "tqs", "tqv", +] + +GLOBAL_ML_VARS: list[str] = ["fi", "relhum", "t", "u", "v"] + diff --git a/src/nwp_consumer/internal/inputs/noaa/_models.py b/src/nwp_consumer/internal/inputs/noaa/_models.py new file mode 100644 index 00000000..b1545f41 --- /dev/null +++ b/src/nwp_consumer/internal/inputs/noaa/_models.py @@ -0,0 +1,26 @@ +import datetime as dt + +from nwp_consumer import internal + + +class NOAAFileInfo(internal.FileInfoModel): + def __init__( + self, it: dt.datetime, filename: str, currentURL: str, step: int, + ) -> "NOAAFileInfo": + self._it = it + # The name of the file when stored by the storer. We decompress from bz2 + # at download time, so we don't want that extension on the filename. + self._filename = filename + self._url = currentURL + self.step = step + + def filename(self) -> str: + return self._filename + + def filepath(self) -> str: + # The filename in the fully-qualified filepath still has the .bz2 extension + # so add it back in + return self._url + "/" + self._filename + + def it(self) -> dt.datetime: + return self._it diff --git a/src/nwp_consumer/internal/inputs/noaa/ncar.py b/src/nwp_consumer/internal/inputs/noaa/ncar.py new file mode 100644 index 00000000..7a7893c0 --- /dev/null +++ b/src/nwp_consumer/internal/inputs/noaa/ncar.py @@ -0,0 +1,370 @@ +"""Implements a client to fetch ICON data from DWD.""" +import bz2 +import datetime as dt +import pathlib +import re +import typing +import urllib.request + +import requests +import structlog +import xarray as xr + +from nwp_consumer import internal + +from ._consts import EU_ML_VARS, EU_SL_VARS, GLOBAL_ML_VARS, GLOBAL_SL_VARS +from ._models import IconFileInfo + +log = structlog.getLogger() + +# See https://d-nb.info/1081305452/34 for a list of ICON parameters +PARAMETER_RENAME_MAP: dict[str, str] = { + "t_2m": internal.OCFShortName.TemperatureAGL.value, + "clch": internal.OCFShortName.HighCloudCover.value, + "clcm": internal.OCFShortName.MediumCloudCover.value, + "clcl": internal.OCFShortName.LowCloudCover.value, + "asob_s": internal.OCFShortName.DownwardShortWaveRadiationFlux.value, + "athb_s": internal.OCFShortName.DownwardLongWaveRadiationFlux.value, + "w_snow": internal.OCFShortName.SnowDepthWaterEquivalent.value, + "relhum_2m": internal.OCFShortName.RelativeHumidityAGL.value, + "u_10m": internal.OCFShortName.WindUComponentAGL.value, + "v_10m": internal.OCFShortName.WindVComponentAGL.value, + "clat": "lat", # Icon has a seperate dataset for latitude... + "clon": "lon", # ... and longitude (for the global model)! Go figure +} + +COORDINATE_ALLOW_LIST: typing.Sequence[str] = ("time", "step", "latitude", "longitude") + + +class Client(internal.FetcherInterface): + """Implements a client to fetch ICON data from DWD.""" + + baseurl: str # The base URL for the ICON model + model: str # The model to fetch data for + parameters: list[str] # The parameters to fetch + conform: bool # Whether to rename parameters to OCF names and clear unwanted coordinates + + def __init__(self, model: str, hours: int = 48, param_group: str = "default") -> None: + """Create a new Icon Client. + + Exposes a client for ICON data from DWD that conforms to the FetcherInterface. + + Args: + model: The model to fetch data for. Valid models are "europe" and "global". + param_group: The set of parameters to fetch. + Valid groups are "default", "full", and "basic". + """ + self.baseurl = "https://opendata.dwd.de/weather/nwp" + + match model: + case "europe": + self.baseurl += "/icon-eu/grib" + case "global": + self.baseurl += "/icon/grib" + case _: + raise ValueError( + f"unknown icon model {model}. Valid models are 'europe' and 'global'", + ) + + match (param_group, model): + case ("default", _): + self.parameters = list(PARAMETER_RENAME_MAP.keys()) + self.conform = True + case ("basic", "europe"): + self.parameters = ["t_2m", "asob_s"] + self.conform = True + case ("basic", "global"): + self.parameters = ["t_2m", "asob_s", "clat", "clon"] + self.conform = True + case ("full", "europe"): + self.parameters = EU_SL_VARS + EU_ML_VARS + self.conform = False + case ("full", "global"): + self.parameters = GLOBAL_SL_VARS + GLOBAL_ML_VARS + ["clat", "clon"] + self.conform = False + case (_, _): + raise ValueError( + f"unknown parameter group {param_group}." + "Valid groups are 'default', 'full', 'basic'", + ) + + self.model = model + self.hours = hours + + def listRawFilesForInitTime(self, *, it: dt.datetime) -> list[internal.FileInfoModel]: # noqa: D102 + # ICON data is only available for today's date. If data hasn't been uploaded for that init + # time yet, then yesterday's data will still be present on the server. + if it.date() != dt.datetime.now(dt.timezone.utc).date(): + raise ValueError("ICON data is only available on today's date") + return [] + + # The ICON model only runs on the hours [00, 06, 12, 18] + if it.hour not in [0, 6, 12, 18]: + return [] + + files: list[internal.FileInfoModel] = [] + + # Files are split per parameter, level, and step, with a webpage per parameter + # * The webpage contains a list of files for the parameter + # * Find these files for each parameter and add them to the list + for param in self.parameters: + # The list of files for the parameter + parameterFiles: list[internal.FileInfoModel] = [] + + # Fetch DWD webpage detailing the available files for the parameter + response = requests.get(f"{self.baseurl}/{it.strftime('%H')}/{param}/", timeout=3) + + if response.status_code != 200: + log.warn( + event="error fetching filelisting webpage for parameter", + status=response.status_code, + url=response.url, + param=param, + inittime=it.strftime("%Y-%m-%d %H:%M"), + ) + continue + + # The webpage's HTML contains a list of tags + # * Each tag has a href, most of which point to a file) + for line in response.text.splitlines(): + # Check if the line contains a href, if not, skip it + refmatch = re.search(pattern=r'href="(.+)">', string=line) + if refmatch is None: + continue + + # The href contains the name of a file - parse this into a FileInfo object + fi: IconFileInfo | None = None + # If not conforming, match all files + # * Otherwise only match single level and time invariant + fi = _parseIconFilename( + name=refmatch.groups()[0], + baseurl=self.baseurl, + match_ml=not self.conform, + match_pl=not self.conform, + ) + # Ignore the file if it is not for today's date or has a step > 48 (when conforming) + if fi is None or fi.it() != it or (fi.step > self.hours and self.conform): + continue + + # Add the file to the list + parameterFiles.append(fi) + + log.debug( + event="listed files for parameter", + param=param, + inittime=it.strftime("%Y-%m-%d %H:%M"), + url=response.url, + numfiles=len(parameterFiles), + ) + + # Add the files for the parameter to the list of all files + files.extend(parameterFiles) + + return files + + def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 + if p.suffix != ".grib2": + log.warn( + event="cannot map non-grib file to dataset", + filepath=p.as_posix(), + ) + return xr.Dataset() + + if p.stem.endswith("_CLAT") or p.stem.endswith("_CLON"): + # Ignore the latitude and longitude files + return xr.Dataset() + + log.debug(event="mapping raw file to xarray dataset", filepath=p.as_posix()) + + # Load the raw file as a dataset + try: + ds = xr.open_dataset( + p.as_posix(), + engine="cfgrib", + chunks={ + "time": 1, + "step": 1, + "variable": -1, + "latitude": "auto", + "longitude": "auto", + }, + ) + except Exception as e: + log.warn( + event="error converting raw file as dataset", + error=e, + filepath=p.as_posix(), + ) + return xr.Dataset() + + # Only conform the dataset if requested (defaults to True) + if self.conform: + # Rename the parameters to the OCF names + # * Only do so if they exist in the dataset + for oldParamName, newParamName in PARAMETER_RENAME_MAP.items(): + if oldParamName in ds: + ds = ds.rename({oldParamName: newParamName}) + + # Delete unwanted coordinates + ds = ds.drop_vars( + names=[c for c in ds.coords if c not in COORDINATE_ALLOW_LIST], + errors="ignore", + ) + + # Inject latitude and longitude into the dataset if they are missing + if "latitude" not in ds: + rawlats: list[pathlib.Path] = list(p.parent.glob("*CLAT.grib2")) + if len(rawlats) == 0: + log.warn( + event="no latitude file found for init time", + filepath=p.as_posix(), + init_time=p.parent.name, + ) + return xr.Dataset() + latds = xr.open_dataset( + rawlats[0], + engine="cfgrib", + backend_kwargs={"errors": "ignore"}, + ) + ds = ds.assign_coords({"latitude": ("values", latds.tlat.values)}) + del latds + + if "longitude" not in ds: + rawlons: list[pathlib.Path] = list(p.parent.glob("*CLON.grib2")) + if len(rawlons) == 0: + log.warn( + event="no longitude file found for init time", + filepath=p.as_posix(), + init_time=p.parent.name, + ) + return xr.Dataset() + londs = xr.open_dataset( + rawlons[0], + engine="cfgrib", + backend_kwargs={"errors": "ignore"}, + ) + ds = ds.assign_coords({"longitude": ("values", londs.tlon.values)}) + del londs + + # Create chunked Dask dataset with a single "variable" dimension + # * Each chunk is a single time step + ds = ( + ds.rename({"time": "init_time"}) + .expand_dims("init_time") + .expand_dims("step") + .to_array(dim="variable", name=f"ICON_{self.model}".upper()) + .to_dataset() + .transpose("variable", "init_time", "step", ...) + .sortby("step") + .sortby("variable") + .chunk( + { + "init_time": 1, + "step": -1, + "variable": -1, + }, + ) + ) + + return ds + + def downloadToTemp( # noqa: D102 + self, + *, + fi: internal.FileInfoModel, + ) -> tuple[internal.FileInfoModel, pathlib.Path]: + log.debug(event="requesting download of file", file=fi.filename(), path=fi.filepath()) + try: + response = urllib.request.urlopen(fi.filepath()) + except Exception as e: + log.warn( + event="error calling url for file", + url=fi.filepath(), + filename=fi.filename(), + error=e, + ) + return fi, pathlib.Path() + + if response.status != 200: + log.warn( + event="error downloading file", + status=response.status, + url=fi.filepath(), + filename=fi.filename(), + ) + return fi, pathlib.Path() + + # Extract the bz2 file when downloading + tfp: pathlib.Path = internal.TMP_DIR / fi.filename() + with open(tfp, "wb") as f: + dec = bz2.BZ2Decompressor() + for chunk in iter(lambda: response.read(16 * 1024), b""): + f.write(dec.decompress(chunk)) + f.flush() + + log.debug( + event="fetched all data from file", + filename=fi.filename(), + url=fi.filepath(), + filepath=tfp.as_posix(), + nbytes=tfp.stat().st_size, + ) + + return fi, tfp + + +def _parseIconFilename( + name: str, + baseurl: str, + match_sl: bool = True, + match_ti: bool = True, + match_ml: bool = False, + match_pl: bool = False, +) -> IconFileInfo | None: + """Parse a string of HTML into an IconFileInfo object, if it contains one. + + Args: + name: The name of the file to parse + baseurl: The base URL for the ICON model + match_sl: Whether to match single-level files + match_ti: Whether to match time-invariant files + match_ml: Whether to match model-level files + match_pl: Whether to match pressure-level files + """ + # Define the regex patterns to match the different types of file; X is step, L is level + # * Single Level: `MODEL_single-level_YYYYDDMMHH_XXX_SOME_PARAM.grib2.bz2` + slRegex = r"single-level_(\d{10})_(\d{3})_([A-Za-z_\d]+).grib" + # * Time Invariant: `MODEL_time-invariant_YYYYDDMMHH_SOME_PARAM.grib2.bz2` + tiRegex = r"time-invariant_(\d{10})_([A-Za-z_\d]+).grib" + # * Model Level: `MODEL_model-level_YYYYDDMMHH_XXX_LLL_SOME_PARAM.grib2.bz2` + mlRegex = r"model-level_(\d{10})_(\d{3})_(\d+)_([A-Za-z_\d]+).grib" + # * Pressure Level: `MODEL_pressure-level_YYYYDDMMHH_XXX_LLLL_SOME_PARAM.grib2.bz2` + plRegex = r"pressure-level_(\d{10})_(\d{3})_(\d+)_([A-Za-z_\d]+).grib" + + itstring = paramstring = "" + stepstring = "000" + # Try to match the href to one of the regex patterns + slmatch = re.search(pattern=slRegex, string=name) + timatch = re.search(pattern=tiRegex, string=name) + mlmatch = re.search(pattern=mlRegex, string=name) + plmatch = re.search(pattern=plRegex, string=name) + + if slmatch and match_sl: + itstring, stepstring, paramstring = slmatch.groups() + elif timatch and match_ti: + itstring, paramstring = timatch.groups() + elif mlmatch and match_ml: + itstring, stepstring, levelstring, paramstring = mlmatch.groups() + elif plmatch and match_pl: + itstring, stepstring, levelstring, paramstring = plmatch.groups() + else: + return None + + it = dt.datetime.strptime(itstring, "%Y%m%d%H").replace(tzinfo=dt.timezone.utc) + + return IconFileInfo( + it=it, + filename=name, + currentURL=f"{baseurl}/{it.strftime('%H')}/{paramstring.lower()}/", + step=int(stepstring), + ) diff --git a/src/nwp_consumer/internal/inputs/noaa/ncep.py b/src/nwp_consumer/internal/inputs/noaa/ncep.py new file mode 100644 index 00000000..7a7893c0 --- /dev/null +++ b/src/nwp_consumer/internal/inputs/noaa/ncep.py @@ -0,0 +1,370 @@ +"""Implements a client to fetch ICON data from DWD.""" +import bz2 +import datetime as dt +import pathlib +import re +import typing +import urllib.request + +import requests +import structlog +import xarray as xr + +from nwp_consumer import internal + +from ._consts import EU_ML_VARS, EU_SL_VARS, GLOBAL_ML_VARS, GLOBAL_SL_VARS +from ._models import IconFileInfo + +log = structlog.getLogger() + +# See https://d-nb.info/1081305452/34 for a list of ICON parameters +PARAMETER_RENAME_MAP: dict[str, str] = { + "t_2m": internal.OCFShortName.TemperatureAGL.value, + "clch": internal.OCFShortName.HighCloudCover.value, + "clcm": internal.OCFShortName.MediumCloudCover.value, + "clcl": internal.OCFShortName.LowCloudCover.value, + "asob_s": internal.OCFShortName.DownwardShortWaveRadiationFlux.value, + "athb_s": internal.OCFShortName.DownwardLongWaveRadiationFlux.value, + "w_snow": internal.OCFShortName.SnowDepthWaterEquivalent.value, + "relhum_2m": internal.OCFShortName.RelativeHumidityAGL.value, + "u_10m": internal.OCFShortName.WindUComponentAGL.value, + "v_10m": internal.OCFShortName.WindVComponentAGL.value, + "clat": "lat", # Icon has a seperate dataset for latitude... + "clon": "lon", # ... and longitude (for the global model)! Go figure +} + +COORDINATE_ALLOW_LIST: typing.Sequence[str] = ("time", "step", "latitude", "longitude") + + +class Client(internal.FetcherInterface): + """Implements a client to fetch ICON data from DWD.""" + + baseurl: str # The base URL for the ICON model + model: str # The model to fetch data for + parameters: list[str] # The parameters to fetch + conform: bool # Whether to rename parameters to OCF names and clear unwanted coordinates + + def __init__(self, model: str, hours: int = 48, param_group: str = "default") -> None: + """Create a new Icon Client. + + Exposes a client for ICON data from DWD that conforms to the FetcherInterface. + + Args: + model: The model to fetch data for. Valid models are "europe" and "global". + param_group: The set of parameters to fetch. + Valid groups are "default", "full", and "basic". + """ + self.baseurl = "https://opendata.dwd.de/weather/nwp" + + match model: + case "europe": + self.baseurl += "/icon-eu/grib" + case "global": + self.baseurl += "/icon/grib" + case _: + raise ValueError( + f"unknown icon model {model}. Valid models are 'europe' and 'global'", + ) + + match (param_group, model): + case ("default", _): + self.parameters = list(PARAMETER_RENAME_MAP.keys()) + self.conform = True + case ("basic", "europe"): + self.parameters = ["t_2m", "asob_s"] + self.conform = True + case ("basic", "global"): + self.parameters = ["t_2m", "asob_s", "clat", "clon"] + self.conform = True + case ("full", "europe"): + self.parameters = EU_SL_VARS + EU_ML_VARS + self.conform = False + case ("full", "global"): + self.parameters = GLOBAL_SL_VARS + GLOBAL_ML_VARS + ["clat", "clon"] + self.conform = False + case (_, _): + raise ValueError( + f"unknown parameter group {param_group}." + "Valid groups are 'default', 'full', 'basic'", + ) + + self.model = model + self.hours = hours + + def listRawFilesForInitTime(self, *, it: dt.datetime) -> list[internal.FileInfoModel]: # noqa: D102 + # ICON data is only available for today's date. If data hasn't been uploaded for that init + # time yet, then yesterday's data will still be present on the server. + if it.date() != dt.datetime.now(dt.timezone.utc).date(): + raise ValueError("ICON data is only available on today's date") + return [] + + # The ICON model only runs on the hours [00, 06, 12, 18] + if it.hour not in [0, 6, 12, 18]: + return [] + + files: list[internal.FileInfoModel] = [] + + # Files are split per parameter, level, and step, with a webpage per parameter + # * The webpage contains a list of files for the parameter + # * Find these files for each parameter and add them to the list + for param in self.parameters: + # The list of files for the parameter + parameterFiles: list[internal.FileInfoModel] = [] + + # Fetch DWD webpage detailing the available files for the parameter + response = requests.get(f"{self.baseurl}/{it.strftime('%H')}/{param}/", timeout=3) + + if response.status_code != 200: + log.warn( + event="error fetching filelisting webpage for parameter", + status=response.status_code, + url=response.url, + param=param, + inittime=it.strftime("%Y-%m-%d %H:%M"), + ) + continue + + # The webpage's HTML contains a list of tags + # * Each tag has a href, most of which point to a file) + for line in response.text.splitlines(): + # Check if the line contains a href, if not, skip it + refmatch = re.search(pattern=r'href="(.+)">', string=line) + if refmatch is None: + continue + + # The href contains the name of a file - parse this into a FileInfo object + fi: IconFileInfo | None = None + # If not conforming, match all files + # * Otherwise only match single level and time invariant + fi = _parseIconFilename( + name=refmatch.groups()[0], + baseurl=self.baseurl, + match_ml=not self.conform, + match_pl=not self.conform, + ) + # Ignore the file if it is not for today's date or has a step > 48 (when conforming) + if fi is None or fi.it() != it or (fi.step > self.hours and self.conform): + continue + + # Add the file to the list + parameterFiles.append(fi) + + log.debug( + event="listed files for parameter", + param=param, + inittime=it.strftime("%Y-%m-%d %H:%M"), + url=response.url, + numfiles=len(parameterFiles), + ) + + # Add the files for the parameter to the list of all files + files.extend(parameterFiles) + + return files + + def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 + if p.suffix != ".grib2": + log.warn( + event="cannot map non-grib file to dataset", + filepath=p.as_posix(), + ) + return xr.Dataset() + + if p.stem.endswith("_CLAT") or p.stem.endswith("_CLON"): + # Ignore the latitude and longitude files + return xr.Dataset() + + log.debug(event="mapping raw file to xarray dataset", filepath=p.as_posix()) + + # Load the raw file as a dataset + try: + ds = xr.open_dataset( + p.as_posix(), + engine="cfgrib", + chunks={ + "time": 1, + "step": 1, + "variable": -1, + "latitude": "auto", + "longitude": "auto", + }, + ) + except Exception as e: + log.warn( + event="error converting raw file as dataset", + error=e, + filepath=p.as_posix(), + ) + return xr.Dataset() + + # Only conform the dataset if requested (defaults to True) + if self.conform: + # Rename the parameters to the OCF names + # * Only do so if they exist in the dataset + for oldParamName, newParamName in PARAMETER_RENAME_MAP.items(): + if oldParamName in ds: + ds = ds.rename({oldParamName: newParamName}) + + # Delete unwanted coordinates + ds = ds.drop_vars( + names=[c for c in ds.coords if c not in COORDINATE_ALLOW_LIST], + errors="ignore", + ) + + # Inject latitude and longitude into the dataset if they are missing + if "latitude" not in ds: + rawlats: list[pathlib.Path] = list(p.parent.glob("*CLAT.grib2")) + if len(rawlats) == 0: + log.warn( + event="no latitude file found for init time", + filepath=p.as_posix(), + init_time=p.parent.name, + ) + return xr.Dataset() + latds = xr.open_dataset( + rawlats[0], + engine="cfgrib", + backend_kwargs={"errors": "ignore"}, + ) + ds = ds.assign_coords({"latitude": ("values", latds.tlat.values)}) + del latds + + if "longitude" not in ds: + rawlons: list[pathlib.Path] = list(p.parent.glob("*CLON.grib2")) + if len(rawlons) == 0: + log.warn( + event="no longitude file found for init time", + filepath=p.as_posix(), + init_time=p.parent.name, + ) + return xr.Dataset() + londs = xr.open_dataset( + rawlons[0], + engine="cfgrib", + backend_kwargs={"errors": "ignore"}, + ) + ds = ds.assign_coords({"longitude": ("values", londs.tlon.values)}) + del londs + + # Create chunked Dask dataset with a single "variable" dimension + # * Each chunk is a single time step + ds = ( + ds.rename({"time": "init_time"}) + .expand_dims("init_time") + .expand_dims("step") + .to_array(dim="variable", name=f"ICON_{self.model}".upper()) + .to_dataset() + .transpose("variable", "init_time", "step", ...) + .sortby("step") + .sortby("variable") + .chunk( + { + "init_time": 1, + "step": -1, + "variable": -1, + }, + ) + ) + + return ds + + def downloadToTemp( # noqa: D102 + self, + *, + fi: internal.FileInfoModel, + ) -> tuple[internal.FileInfoModel, pathlib.Path]: + log.debug(event="requesting download of file", file=fi.filename(), path=fi.filepath()) + try: + response = urllib.request.urlopen(fi.filepath()) + except Exception as e: + log.warn( + event="error calling url for file", + url=fi.filepath(), + filename=fi.filename(), + error=e, + ) + return fi, pathlib.Path() + + if response.status != 200: + log.warn( + event="error downloading file", + status=response.status, + url=fi.filepath(), + filename=fi.filename(), + ) + return fi, pathlib.Path() + + # Extract the bz2 file when downloading + tfp: pathlib.Path = internal.TMP_DIR / fi.filename() + with open(tfp, "wb") as f: + dec = bz2.BZ2Decompressor() + for chunk in iter(lambda: response.read(16 * 1024), b""): + f.write(dec.decompress(chunk)) + f.flush() + + log.debug( + event="fetched all data from file", + filename=fi.filename(), + url=fi.filepath(), + filepath=tfp.as_posix(), + nbytes=tfp.stat().st_size, + ) + + return fi, tfp + + +def _parseIconFilename( + name: str, + baseurl: str, + match_sl: bool = True, + match_ti: bool = True, + match_ml: bool = False, + match_pl: bool = False, +) -> IconFileInfo | None: + """Parse a string of HTML into an IconFileInfo object, if it contains one. + + Args: + name: The name of the file to parse + baseurl: The base URL for the ICON model + match_sl: Whether to match single-level files + match_ti: Whether to match time-invariant files + match_ml: Whether to match model-level files + match_pl: Whether to match pressure-level files + """ + # Define the regex patterns to match the different types of file; X is step, L is level + # * Single Level: `MODEL_single-level_YYYYDDMMHH_XXX_SOME_PARAM.grib2.bz2` + slRegex = r"single-level_(\d{10})_(\d{3})_([A-Za-z_\d]+).grib" + # * Time Invariant: `MODEL_time-invariant_YYYYDDMMHH_SOME_PARAM.grib2.bz2` + tiRegex = r"time-invariant_(\d{10})_([A-Za-z_\d]+).grib" + # * Model Level: `MODEL_model-level_YYYYDDMMHH_XXX_LLL_SOME_PARAM.grib2.bz2` + mlRegex = r"model-level_(\d{10})_(\d{3})_(\d+)_([A-Za-z_\d]+).grib" + # * Pressure Level: `MODEL_pressure-level_YYYYDDMMHH_XXX_LLLL_SOME_PARAM.grib2.bz2` + plRegex = r"pressure-level_(\d{10})_(\d{3})_(\d+)_([A-Za-z_\d]+).grib" + + itstring = paramstring = "" + stepstring = "000" + # Try to match the href to one of the regex patterns + slmatch = re.search(pattern=slRegex, string=name) + timatch = re.search(pattern=tiRegex, string=name) + mlmatch = re.search(pattern=mlRegex, string=name) + plmatch = re.search(pattern=plRegex, string=name) + + if slmatch and match_sl: + itstring, stepstring, paramstring = slmatch.groups() + elif timatch and match_ti: + itstring, paramstring = timatch.groups() + elif mlmatch and match_ml: + itstring, stepstring, levelstring, paramstring = mlmatch.groups() + elif plmatch and match_pl: + itstring, stepstring, levelstring, paramstring = plmatch.groups() + else: + return None + + it = dt.datetime.strptime(itstring, "%Y%m%d%H").replace(tzinfo=dt.timezone.utc) + + return IconFileInfo( + it=it, + filename=name, + currentURL=f"{baseurl}/{it.strftime('%H')}/{paramstring.lower()}/", + step=int(stepstring), + ) diff --git a/src/nwp_consumer/internal/inputs/noaa/test_ncep.py b/src/nwp_consumer/internal/inputs/noaa/test_ncep.py new file mode 100644 index 00000000..486490e8 --- /dev/null +++ b/src/nwp_consumer/internal/inputs/noaa/test_ncep.py @@ -0,0 +1,112 @@ +import datetime as dt +import pathlib +import unittest +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from ._models import IconFileInfo + +from .client import Client, _parseIconFilename + +testClient = Client(model="global") + + +class TestClient(unittest.TestCase): + def test_mapTemp(self) -> None: + # Test with global file + testFilePath: pathlib.Path = ( + pathlib.Path(__file__).parent / "test_icon_global_001_CLCL.grib2" + ) + out = testClient.mapTemp(p=testFilePath) + + # Check latitude and longitude are injected + self.assertTrue("latitude" in out.coords) + self.assertTrue("longitude" in out.coords) + # Check that the dimensions are correctly ordered and renamed + self.assertEqual( + out[next(iter(out.data_vars.keys()))].dims, + ("variable", "init_time", "step", "values"), + ) + # Check that the parameter is renamed + self.assertEqual(out["variable"].values[0], "ccl") + + # Test with europe file + testFilePath: pathlib.Path = ( + pathlib.Path(__file__).parent / "test_icon_europe_001_CLCL.grib2" + ) + out = testClient.mapTemp(p=testFilePath) + + # Check latitude and longitude are present + self.assertTrue("latitude" in out.coords) + self.assertTrue("longitude" in out.coords) + # Check that the dimensions are correctly ordered and renamed + self.assertEqual( + out[next(iter(out.data_vars.keys()))].dims, + ("variable", "init_time", "step", "latitude", "longitude"), + ) + # Check that the parameter is renamed + self.assertEqual(out["variable"].values[0], "ccl") + + +class TestParseIconFilename(unittest.TestCase): + baseurl = "https://opendata.dwd.de/weather/nwp/icon/grib" + + def test_parsesSingleLevel(self) -> None: + filename: str = "icon_global_icosahedral_single-level_2020090100_000_T_HUM.grib2.bz2" + + out: IconFileInfo | None = _parseIconFilename( + name=filename, + baseurl=self.baseurl, + ) + self.assertIsNotNone(out) + self.assertEqual(out.filename(), filename.removesuffix(".bz2")) + self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) + + def test_parsesTimeInvariant(self) -> None: + filename: str = "icon_global_icosahedral_time-invariant_2020090100_CLAT.grib2.bz2" + + out: IconFileInfo | None = _parseIconFilename( + name=filename, + baseurl=self.baseurl, + ) + self.assertIsNotNone(out) + self.assertEqual(out.filename(), filename.removesuffix(".bz2")) + self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) + + def test_parsesModelLevel(self) -> None: + filename: str = "icon_global_icosahedral_model-level_2020090100_048_32_CLCL.grib2.bz2" + + out: IconFileInfo | None = _parseIconFilename( + name=filename, + baseurl=self.baseurl, + match_ml=True, + ) + self.assertIsNotNone(out) + self.assertEqual(out.filename(), filename.removesuffix(".bz2")) + self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) + + out: IconFileInfo | None = _parseIconFilename( + name=filename, + baseurl=self.baseurl, + match_ml=False, + ) + self.assertIsNone(out) + + def test_parsesPressureLevel(self) -> None: + filename: str = "icon_global_icosahedral_pressure-level_2020090100_048_1000_T.grib2.bz2" + + out: IconFileInfo | None = _parseIconFilename( + name=filename, + baseurl=self.baseurl, + match_pl=True, + ) + self.assertIsNotNone(out) + self.assertEqual(out.filename(), filename.removesuffix(".bz2")) + self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) + + out: IconFileInfo | None = _parseIconFilename( + name=filename, + baseurl=self.baseurl, + match_pl=False, + ) + self.assertIsNone(out) From 3501d556409921e9787720e4c9e047520729b8a4 Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Fri, 15 Dec 2023 23:22:20 +0000 Subject: [PATCH 02/22] Add correct processing for GFS grib2 --- src/nwp_consumer/internal/inputs/noaa/aws.py | 306 ++++++++++++++++++ src/nwp_consumer/internal/inputs/noaa/ncep.py | 53 ++- .../internal/inputs/noaa/test_ncar.py | 112 +++++++ 3 files changed, 437 insertions(+), 34 deletions(-) create mode 100644 src/nwp_consumer/internal/inputs/noaa/aws.py create mode 100644 src/nwp_consumer/internal/inputs/noaa/test_ncar.py diff --git a/src/nwp_consumer/internal/inputs/noaa/aws.py b/src/nwp_consumer/internal/inputs/noaa/aws.py new file mode 100644 index 00000000..04d6daee --- /dev/null +++ b/src/nwp_consumer/internal/inputs/noaa/aws.py @@ -0,0 +1,306 @@ +"""Implements a client to fetch ICON data from DWD.""" +import bz2 +import datetime as dt +import pathlib +import re +import typing +import urllib.request + +import requests +import structlog +import xarray as xr +import cfgrib + +from nwp_consumer import internal + +from ._consts import EU_ML_VARS, EU_SL_VARS, GLOBAL_ML_VARS, GLOBAL_SL_VARS +from ._models import NOAAFileInfo + +log = structlog.getLogger() + +# See https://d-nb.info/1081305452/34 for a list of ICON parameters +PARAMETER_RENAME_MAP: dict[str, str] = { + "t_2m": internal.OCFShortName.TemperatureAGL.value, + "clch": internal.OCFShortName.HighCloudCover.value, + "clcm": internal.OCFShortName.MediumCloudCover.value, + "clcl": internal.OCFShortName.LowCloudCover.value, + "asob_s": internal.OCFShortName.DownwardShortWaveRadiationFlux.value, + "athb_s": internal.OCFShortName.DownwardLongWaveRadiationFlux.value, + "w_snow": internal.OCFShortName.SnowDepthWaterEquivalent.value, + "relhum_2m": internal.OCFShortName.RelativeHumidityAGL.value, + "u_10m": internal.OCFShortName.WindUComponentAGL.value, + "v_10m": internal.OCFShortName.WindVComponentAGL.value, + "clat": "lat", # Icon has a seperate dataset for latitude... + "clon": "lon", # ... and longitude (for the global model)! Go figure +} + +COORDINATE_ALLOW_LIST: typing.Sequence[str] = ("time", "step", "latitude", "longitude") + + +class Client(internal.FetcherInterface): + """Implements a client to fetch ICON data from DWD.""" + + baseurl: str # The base URL for the ICON model + model: str # The model to fetch data for + parameters: list[str] # The parameters to fetch + conform: bool # Whether to rename parameters to OCF names and clear unwanted coordinates + + def __init__(self, model: str, hours: int = 48, param_group: str = "default") -> None: + """Create a new Icon Client. + + Exposes a client for ICON data from DWD that conforms to the FetcherInterface. + + Args: + model: The model to fetch data for. Valid models are "europe" and "global". + param_group: The set of parameters to fetch. + Valid groups are "default", "full", and "basic". + """ + self.baseurl = "https://noaa-gfs-bdp-pds.s3.amazonaws.com/" + + match (param_group, model): + case ("default", _): + self.parameters = list(PARAMETER_RENAME_MAP.keys()) + self.conform = True + case ("basic", "global"): + self.parameters = ["t_2m", "asob_s", "clat", "clon"] + self.conform = True + case ("full", "global"): + self.parameters = GLOBAL_SL_VARS + GLOBAL_ML_VARS + self.conform = False + case (_, _): + raise ValueError( + f"unknown parameter group {param_group}." + "Valid groups are 'default', 'full', 'basic'", + ) + + self.model = model + self.hours = hours + + def listRawFilesForInitTime(self, *, it: dt.datetime) -> list[internal.FileInfoModel]: # noqa: D102 + + if it.hour not in [0, 6, 12, 18]: + return [] + + files: list[internal.FileInfoModel] = [] + + # Files are split per timestep + # And the url includes the time and init time + # https://noaa-gfs-bdp-pds.s3.amazonaws.com/gfs.20201206/00/atmos/gfs.t00z.pgrb2.0p25.f000 + + # Fetch AWS webpage detailing the available files for the parameter + response = requests.get(f"{self.baseurl}/gfs.{it.strftime('%Y%m%d')}/{it.strftime('%H')}/atmos/", timeout=3) + + if response.status_code != 200: + log.warn( + event="error fetching filelisting webpage for parameter", + status=response.status_code, + url=response.url, + inittime=it.strftime("%Y-%m-%d %H:%M"), + ) + return [] + + # The webpage's HTML contains a list of tags + # * Each tag has a href, most of which point to a file) + for line in response.text.splitlines(): + # Check if the line contains a href, if not, skip it + refmatch = re.search(pattern=r'href="(.+)">', string=line) + if refmatch is None: + continue + + # The href contains the name of a file - parse this into a FileInfo object + fi: NOAAFileInfo | None = None + # If not conforming, match all files + # * Otherwise only match single level and time invariant + fi = _parseAWSFilename( + name=refmatch.groups()[0], + baseurl=self.baseurl, + match_aux=not self.conform, + ) + # Ignore the file if it is not for today's date or has a step > 48 (when conforming) + if fi is None or fi.it() != it or (fi.step > self.hours and self.conform): + continue + + # Add the file to the list + files.append(fi) + + log.debug( + event="listed files for init time", + inittime=it.strftime("%Y-%m-%d %H:%M"), + url=response.url, + numfiles=len(files), + ) + + return files + + def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 + if p.suffix != ".grib2": + log.warn( + event="cannot map non-grib file to dataset", + filepath=p.as_posix(), + ) + return xr.Dataset() + + log.debug(event="mapping raw file to xarray dataset", filepath=p.as_posix()) + + # Load the raw file as a dataset + try: + ds = cfgrib.open_datasets( + p.as_posix(), + ) + except Exception as e: + log.warn( + event="error converting raw file as dataset", + error=e, + filepath=p.as_posix(), + ) + return xr.Dataset() + + # Process all the parameters into a single file + ds = [ + d for d in ds if any(x in d.coords for x in ["surface", "heightAboveGround", "isobaricInhPa"]) + ] + + # Split into surface, heightAboveGround, and isobaricInhPa lists + surface = [d for d in ds if "surface" in d.coords] + heightAboveGround = [d for d in ds if "heightAboveGround" in d.coords] + isobaricInhPa = [d for d in ds if "isobaricInhPa" in d.coords] + + # Update name of each data variable based off the attribute GRIB_stepType + for i, d in enumerate(surface): + for variable in d.data_vars.keys(): + d = d.rename({variable: f"{variable}_surface_{d[f'{variable}'].attrs['GRIB_stepType']}"}) + surface[i] = d + for i, d in enumerate(heightAboveGround): + for variable in d.data_vars.keys(): + d = d.rename({variable: f"{variable}_{d[f'{variable}'].attrs['GRIB_stepType']}"}) + heightAboveGround[i] = d + + surface = xr.merge(surface) + # Drop unknown data variable + surface = surface.drop_vars("unknown_surface_instant") + heightAboveGround = xr.merge(heightAboveGround) + isobaricInhPa = xr.merge(isobaricInhPa) + + ds = xr.merge([surface, heightAboveGround, isobaricInhPa]) + + # Only conform the dataset if requested (defaults to True) + if self.conform: + # Rename the parameters to the OCF names + # * Only do so if they exist in the dataset + for oldParamName, newParamName in PARAMETER_RENAME_MAP.items(): + if oldParamName in ds: + ds = ds.rename({oldParamName: newParamName}) + + # Delete unwanted coordinates + ds = ds.drop_vars( + names=[c for c in ds.coords if c not in COORDINATE_ALLOW_LIST], + errors="ignore", + ) + + # Create chunked Dask dataset with a single "variable" dimension + # * Each chunk is a single time step + ds = ( + ds.rename({"time": "init_time"}) + .expand_dims("init_time") + .expand_dims("step") + .to_array(dim="variable", name=f"NOAA_{self.model}".upper()) + .to_dataset() + .transpose("variable", "init_time", "step", ...) + .sortby("step") + .sortby("variable") + .chunk( + { + "init_time": 1, + "step": -1, + "variable": -1, + }, + ) + ) + + return ds + + def downloadToTemp( # noqa: D102 + self, + *, + fi: internal.FileInfoModel, + ) -> tuple[internal.FileInfoModel, pathlib.Path]: + log.debug(event="requesting download of file", file=fi.filename(), path=fi.filepath()) + try: + response = urllib.request.urlopen(fi.filepath()) + except Exception as e: + log.warn( + event="error calling url for file", + url=fi.filepath(), + filename=fi.filename(), + error=e, + ) + return fi, pathlib.Path() + + if response.status != 200: + log.warn( + event="error downloading file", + status=response.status, + url=fi.filepath(), + filename=fi.filename(), + ) + return fi, pathlib.Path() + + # Extract the bz2 file when downloading + tfp: pathlib.Path = internal.TMP_DIR / fi.filename() + with open(tfp, "wb") as f: + dec = bz2.BZ2Decompressor() + for chunk in iter(lambda: response.read(16 * 1024), b""): + f.write(dec.decompress(chunk)) + f.flush() + + log.debug( + event="fetched all data from file", + filename=fi.filename(), + url=fi.filepath(), + filepath=tfp.as_posix(), + nbytes=tfp.stat().st_size, + ) + + return fi, tfp + + +def _parseAWSFilename( + name: str, + baseurl: str, + match_aux: bool = True, + match_main: bool = True +) -> NOAAFileInfo | None: + """Parse a string of HTML into an IconFileInfo object, if it contains one. + + Args: + name: The name of the file to parse + baseurl: The base URL for the ICON model + """ + # Only 2 types of file, they contain all variables in it + # "https://nomads.ncep.noaa.gov/pub/data/nccf/com/gfs/prod/gfs.20231206/06/atmos/gfs.t06z.pgrb2.0p25.f002" + # "https://nomads.ncep.noaa.gov/pub/data/nccf/com/gfs/prod/gfs.20231206/06/atmos/gfs.t06z.pgrb2b.0p25.f002" + # Define the regex patterns to match the different types of file; X is step, L is level + mainRegex = r"gfs.t(\d{2})z.pgrb2.0p25.f(\d{3})" + # Auxiliary files have b appended to them + auxRegex = r"gfs.t(\d{2})z.pgrb2b.0p25.f(\d{3})" + itstring = paramstring = "" + stepstring = "000" + # Try to match the href to one of the regex patterns + mainmatch = re.search(pattern=mainRegex, string=name) + auxmatch = re.search(pattern=auxRegex, string=name) + + if mainmatch and match_main: + itstring, stepstring = mainmatch.groups() + elif auxmatch and match_aux: + itstring, stepstring = auxmatch.groups() + else: + return None + + it = dt.datetime.strptime(itstring, "%Y%m%d%H").replace(tzinfo=dt.timezone.utc) + + return NOAAFileInfo( + it=it, + filename=name, + currentURL=f"{baseurl}/{it.strftime('%H')}/{paramstring.lower()}/", + step=int(stepstring), + ) diff --git a/src/nwp_consumer/internal/inputs/noaa/ncep.py b/src/nwp_consumer/internal/inputs/noaa/ncep.py index 7a7893c0..8728f0e8 100644 --- a/src/nwp_consumer/internal/inputs/noaa/ncep.py +++ b/src/nwp_consumer/internal/inputs/noaa/ncep.py @@ -13,7 +13,7 @@ from nwp_consumer import internal from ._consts import EU_ML_VARS, EU_SL_VARS, GLOBAL_ML_VARS, GLOBAL_SL_VARS -from ._models import IconFileInfo +from ._models import NOAAFileInfo log = structlog.getLogger() @@ -313,56 +313,41 @@ def downloadToTemp( # noqa: D102 return fi, tfp -def _parseIconFilename( +def _parseNCEPFilename( name: str, baseurl: str, - match_sl: bool = True, - match_ti: bool = True, - match_ml: bool = False, - match_pl: bool = False, -) -> IconFileInfo | None: + match_aux: bool = True, + match_main: bool = True +) -> NOAAFileInfo | None: """Parse a string of HTML into an IconFileInfo object, if it contains one. Args: name: The name of the file to parse baseurl: The base URL for the ICON model - match_sl: Whether to match single-level files - match_ti: Whether to match time-invariant files - match_ml: Whether to match model-level files - match_pl: Whether to match pressure-level files """ + # Only 2 types of file, they contain all variables in it + "https://nomads.ncep.noaa.gov/pub/data/nccf/com/gfs/prod/gfs.20231206/06/atmos/gfs.t06z.pgrb2.0p25.f002" + "https://nomads.ncep.noaa.gov/pub/data/nccf/com/gfs/prod/gfs.20231206/06/atmos/gfs.t06z.pgrb2b.0p25.f002" # Define the regex patterns to match the different types of file; X is step, L is level - # * Single Level: `MODEL_single-level_YYYYDDMMHH_XXX_SOME_PARAM.grib2.bz2` - slRegex = r"single-level_(\d{10})_(\d{3})_([A-Za-z_\d]+).grib" - # * Time Invariant: `MODEL_time-invariant_YYYYDDMMHH_SOME_PARAM.grib2.bz2` - tiRegex = r"time-invariant_(\d{10})_([A-Za-z_\d]+).grib" - # * Model Level: `MODEL_model-level_YYYYDDMMHH_XXX_LLL_SOME_PARAM.grib2.bz2` - mlRegex = r"model-level_(\d{10})_(\d{3})_(\d+)_([A-Za-z_\d]+).grib" - # * Pressure Level: `MODEL_pressure-level_YYYYDDMMHH_XXX_LLLL_SOME_PARAM.grib2.bz2` - plRegex = r"pressure-level_(\d{10})_(\d{3})_(\d+)_([A-Za-z_\d]+).grib" - + mainRegex = r"gfs.t(\d{2})z.pgrb2.0p25.f(\d{3})" + # Auxiliary files have b appended to them + auxRegex = r"gfs.t(\d{2})z.pgrb2b.0p25.f(\d{3})" itstring = paramstring = "" stepstring = "000" # Try to match the href to one of the regex patterns - slmatch = re.search(pattern=slRegex, string=name) - timatch = re.search(pattern=tiRegex, string=name) - mlmatch = re.search(pattern=mlRegex, string=name) - plmatch = re.search(pattern=plRegex, string=name) - - if slmatch and match_sl: - itstring, stepstring, paramstring = slmatch.groups() - elif timatch and match_ti: - itstring, paramstring = timatch.groups() - elif mlmatch and match_ml: - itstring, stepstring, levelstring, paramstring = mlmatch.groups() - elif plmatch and match_pl: - itstring, stepstring, levelstring, paramstring = plmatch.groups() + mainmatch = re.search(pattern=mainRegex, string=name) + auxmatch = re.search(pattern=auxRegex, string=name) + + if mainmatch and match_main: + itstring, stepstring = mainmatch.groups() + elif auxmatch and match_aux: + itstring, paramstring = auxmatch.groups() else: return None it = dt.datetime.strptime(itstring, "%Y%m%d%H").replace(tzinfo=dt.timezone.utc) - return IconFileInfo( + return NOAAFileInfo( it=it, filename=name, currentURL=f"{baseurl}/{it.strftime('%H')}/{paramstring.lower()}/", diff --git a/src/nwp_consumer/internal/inputs/noaa/test_ncar.py b/src/nwp_consumer/internal/inputs/noaa/test_ncar.py new file mode 100644 index 00000000..486490e8 --- /dev/null +++ b/src/nwp_consumer/internal/inputs/noaa/test_ncar.py @@ -0,0 +1,112 @@ +import datetime as dt +import pathlib +import unittest +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from ._models import IconFileInfo + +from .client import Client, _parseIconFilename + +testClient = Client(model="global") + + +class TestClient(unittest.TestCase): + def test_mapTemp(self) -> None: + # Test with global file + testFilePath: pathlib.Path = ( + pathlib.Path(__file__).parent / "test_icon_global_001_CLCL.grib2" + ) + out = testClient.mapTemp(p=testFilePath) + + # Check latitude and longitude are injected + self.assertTrue("latitude" in out.coords) + self.assertTrue("longitude" in out.coords) + # Check that the dimensions are correctly ordered and renamed + self.assertEqual( + out[next(iter(out.data_vars.keys()))].dims, + ("variable", "init_time", "step", "values"), + ) + # Check that the parameter is renamed + self.assertEqual(out["variable"].values[0], "ccl") + + # Test with europe file + testFilePath: pathlib.Path = ( + pathlib.Path(__file__).parent / "test_icon_europe_001_CLCL.grib2" + ) + out = testClient.mapTemp(p=testFilePath) + + # Check latitude and longitude are present + self.assertTrue("latitude" in out.coords) + self.assertTrue("longitude" in out.coords) + # Check that the dimensions are correctly ordered and renamed + self.assertEqual( + out[next(iter(out.data_vars.keys()))].dims, + ("variable", "init_time", "step", "latitude", "longitude"), + ) + # Check that the parameter is renamed + self.assertEqual(out["variable"].values[0], "ccl") + + +class TestParseIconFilename(unittest.TestCase): + baseurl = "https://opendata.dwd.de/weather/nwp/icon/grib" + + def test_parsesSingleLevel(self) -> None: + filename: str = "icon_global_icosahedral_single-level_2020090100_000_T_HUM.grib2.bz2" + + out: IconFileInfo | None = _parseIconFilename( + name=filename, + baseurl=self.baseurl, + ) + self.assertIsNotNone(out) + self.assertEqual(out.filename(), filename.removesuffix(".bz2")) + self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) + + def test_parsesTimeInvariant(self) -> None: + filename: str = "icon_global_icosahedral_time-invariant_2020090100_CLAT.grib2.bz2" + + out: IconFileInfo | None = _parseIconFilename( + name=filename, + baseurl=self.baseurl, + ) + self.assertIsNotNone(out) + self.assertEqual(out.filename(), filename.removesuffix(".bz2")) + self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) + + def test_parsesModelLevel(self) -> None: + filename: str = "icon_global_icosahedral_model-level_2020090100_048_32_CLCL.grib2.bz2" + + out: IconFileInfo | None = _parseIconFilename( + name=filename, + baseurl=self.baseurl, + match_ml=True, + ) + self.assertIsNotNone(out) + self.assertEqual(out.filename(), filename.removesuffix(".bz2")) + self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) + + out: IconFileInfo | None = _parseIconFilename( + name=filename, + baseurl=self.baseurl, + match_ml=False, + ) + self.assertIsNone(out) + + def test_parsesPressureLevel(self) -> None: + filename: str = "icon_global_icosahedral_pressure-level_2020090100_048_1000_T.grib2.bz2" + + out: IconFileInfo | None = _parseIconFilename( + name=filename, + baseurl=self.baseurl, + match_pl=True, + ) + self.assertIsNotNone(out) + self.assertEqual(out.filename(), filename.removesuffix(".bz2")) + self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) + + out: IconFileInfo | None = _parseIconFilename( + name=filename, + baseurl=self.baseurl, + match_pl=False, + ) + self.assertIsNone(out) From df80979b81e944bd8435af20c921053a7a20bc50 Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Sat, 16 Dec 2023 10:56:43 +0000 Subject: [PATCH 03/22] Update encoding to work with multiple variables --- src/nwp_consumer/internal/inputs/noaa/aws.py | 8 +++---- src/nwp_consumer/internal/service/service.py | 23 ++++++++------------ 2 files changed, 12 insertions(+), 19 deletions(-) diff --git a/src/nwp_consumer/internal/inputs/noaa/aws.py b/src/nwp_consumer/internal/inputs/noaa/aws.py index 04d6daee..db6dd4bc 100644 --- a/src/nwp_consumer/internal/inputs/noaa/aws.py +++ b/src/nwp_consumer/internal/inputs/noaa/aws.py @@ -199,20 +199,18 @@ def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 # Create chunked Dask dataset with a single "variable" dimension # * Each chunk is a single time step + # Does not use teh "variable" dimension, as this makes a 86GiB dataset for a single timestamp + # Keeping variables separate keeps the dataset small enough to fit in memory ds = ( ds.rename({"time": "init_time"}) .expand_dims("init_time") .expand_dims("step") - .to_array(dim="variable", name=f"NOAA_{self.model}".upper()) - .to_dataset() - .transpose("variable", "init_time", "step", ...) + .transpose("init_time", "step", ...) .sortby("step") - .sortby("variable") .chunk( { "init_time": 1, "step": -1, - "variable": -1, }, ) ) diff --git a/src/nwp_consumer/internal/service/service.py b/src/nwp_consumer/internal/service/service.py index ee0cf01c..10f0f83e 100644 --- a/src/nwp_consumer/internal/service/service.py +++ b/src/nwp_consumer/internal/service/service.py @@ -330,16 +330,10 @@ def _saveAsTempZipZarr(ds: xr.Dataset) -> pathlib.Path: ) if tempZarrPath.exists(): tempZarrPath.unlink() - dataVar: str = next(iter(ds.data_vars.keys())) with zarr.ZipStore(path=tempZarrPath.as_posix(), mode="w") as store: ds.to_zarr( store=store, - encoding={ - "init_time": {"units": "nanoseconds since 1970-01-01"}, - dataVar: { - "compressor": Blosc2(cname="zstd", clevel=5), - }, - }, + encoding=_generate_encoding(ds=ds) ) return tempZarrPath @@ -353,19 +347,20 @@ def _saveAsTempRegularZarr(ds: xr.Dataset) -> pathlib.Path: ) if tempZarrPath.exists() and tempZarrPath.is_dir(): shutil.rmtree(tempZarrPath.as_posix()) - dataVar: str = next(iter(ds.data_vars.keys())) ds.to_zarr( store=tempZarrPath.as_posix(), - encoding={ - "init_time": {"units": "nanoseconds since 1970-01-01"}, - dataVar: { - "compressor": Blosc2(cname="zstd", clevel=5), - }, - }, + encoding=_generate_encoding(ds=ds), ) return tempZarrPath +def _generate_encoding(ds: xr.Dataset) -> dict[str, dict[str, str] | dict[str, Blosc2]]: + encoding = {"init_time": {"units": "nanoseconds since 1970-01-01"}} + for var in ds.data_vars: + encoding[var] = {"compressor": Blosc2(cname="zstd", clevel=5)} + return encoding + + def _dataQualityFilter(ds: xr.Dataset) -> bool: """Filter out data that is not of sufficient quality.""" if ds == xr.Dataset(): From ca8b705681457cd2921ee0f03eb26762482ad879 Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 10:34:40 +0000 Subject: [PATCH 04/22] Add current mapping and URLs --- src/nwp_consumer/internal/inputs/noaa/aws.py | 27 ++++++++------------ 1 file changed, 11 insertions(+), 16 deletions(-) diff --git a/src/nwp_consumer/internal/inputs/noaa/aws.py b/src/nwp_consumer/internal/inputs/noaa/aws.py index db6dd4bc..d8251936 100644 --- a/src/nwp_consumer/internal/inputs/noaa/aws.py +++ b/src/nwp_consumer/internal/inputs/noaa/aws.py @@ -20,18 +20,14 @@ # See https://d-nb.info/1081305452/34 for a list of ICON parameters PARAMETER_RENAME_MAP: dict[str, str] = { - "t_2m": internal.OCFShortName.TemperatureAGL.value, - "clch": internal.OCFShortName.HighCloudCover.value, - "clcm": internal.OCFShortName.MediumCloudCover.value, - "clcl": internal.OCFShortName.LowCloudCover.value, - "asob_s": internal.OCFShortName.DownwardShortWaveRadiationFlux.value, - "athb_s": internal.OCFShortName.DownwardLongWaveRadiationFlux.value, - "w_snow": internal.OCFShortName.SnowDepthWaterEquivalent.value, - "relhum_2m": internal.OCFShortName.RelativeHumidityAGL.value, - "u_10m": internal.OCFShortName.WindUComponentAGL.value, - "v_10m": internal.OCFShortName.WindVComponentAGL.value, - "clat": "lat", # Icon has a seperate dataset for latitude... - "clon": "lon", # ... and longitude (for the global model)! Go figure + "t2m_instant": internal.OCFShortName.TemperatureAGL.value, + "tcc": internal.OCFShortName.HighCloudCover.value, + "dswrf_surface_avg": internal.OCFShortName.DownwardShortWaveRadiationFlux.value, + "dlwrf_surface_avg": internal.OCFShortName.DownwardLongWaveRadiationFlux.value, + "sdwe_surface_instant": internal.OCFShortName.SnowDepthWaterEquivalent.value, + "r": internal.OCFShortName.RelativeHumidityAGL.value, + "u10_instant": internal.OCFShortName.WindUComponentAGL.value, + "v10_instant": internal.OCFShortName.WindVComponentAGL.value, } COORDINATE_ALLOW_LIST: typing.Sequence[str] = ("time", "step", "latitude", "longitude") @@ -62,7 +58,7 @@ def __init__(self, model: str, hours: int = 48, param_group: str = "default") -> self.parameters = list(PARAMETER_RENAME_MAP.keys()) self.conform = True case ("basic", "global"): - self.parameters = ["t_2m", "asob_s", "clat", "clon"] + self.parameters = ["t2m_instant", "tcc",] self.conform = True case ("full", "global"): self.parameters = GLOBAL_SL_VARS + GLOBAL_ML_VARS @@ -88,7 +84,7 @@ def listRawFilesForInitTime(self, *, it: dt.datetime) -> list[internal.FileInfoM # https://noaa-gfs-bdp-pds.s3.amazonaws.com/gfs.20201206/00/atmos/gfs.t00z.pgrb2.0p25.f000 # Fetch AWS webpage detailing the available files for the parameter - response = requests.get(f"{self.baseurl}/gfs.{it.strftime('%Y%m%d')}/{it.strftime('%H')}/atmos/", timeout=3) + response = requests.get(f"{self.baseurl}/gfs.{it.strftime('%Y%m%d')}/{it.strftime('%H')}/", timeout=3) if response.status_code != 200: log.warn( @@ -197,7 +193,6 @@ def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 errors="ignore", ) - # Create chunked Dask dataset with a single "variable" dimension # * Each chunk is a single time step # Does not use teh "variable" dimension, as this makes a 86GiB dataset for a single timestamp # Keeping variables separate keeps the dataset small enough to fit in memory @@ -299,6 +294,6 @@ def _parseAWSFilename( return NOAAFileInfo( it=it, filename=name, - currentURL=f"{baseurl}/{it.strftime('%H')}/{paramstring.lower()}/", + currentURL=f"{baseurl}/gfs.{it.strftime('%Y%m%d')}/{it.strftime('%H')}/gfs.t{itstring}z.pgrb2.0p25.f{stepstring}", step=int(stepstring), ) From b51accd3304d924eb3d785f37983fbc942e94677 Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 11:08:49 +0000 Subject: [PATCH 05/22] Fixed tests and update processing for AWS --- .../internal/inputs/noaa/__init__.py | 6 +- src/nwp_consumer/internal/inputs/noaa/aws.py | 14 +- src/nwp_consumer/internal/inputs/noaa/ncar.py | 370 ------------------ src/nwp_consumer/internal/inputs/noaa/ncep.py | 355 ----------------- .../internal/inputs/noaa/test_aws.py | 55 +++ .../internal/inputs/noaa/test_ncar.py | 112 ------ .../internal/inputs/noaa/test_ncep.py | 112 ------ 7 files changed, 63 insertions(+), 961 deletions(-) delete mode 100644 src/nwp_consumer/internal/inputs/noaa/ncar.py delete mode 100644 src/nwp_consumer/internal/inputs/noaa/ncep.py create mode 100644 src/nwp_consumer/internal/inputs/noaa/test_aws.py delete mode 100644 src/nwp_consumer/internal/inputs/noaa/test_ncar.py delete mode 100644 src/nwp_consumer/internal/inputs/noaa/test_ncep.py diff --git a/src/nwp_consumer/internal/inputs/noaa/__init__.py b/src/nwp_consumer/internal/inputs/noaa/__init__.py index 950d8540..81bccce0 100644 --- a/src/nwp_consumer/internal/inputs/noaa/__init__.py +++ b/src/nwp_consumer/internal/inputs/noaa/__init__.py @@ -1,5 +1,3 @@ -__all__ = ["NCEPClient", "NCARClient"] - -from .ncar import Client as NCARClient -from .ncep import Client as NCEPClient +__all__ = ["AWSClient"] +from .aws import Client as AWSClient diff --git a/src/nwp_consumer/internal/inputs/noaa/aws.py b/src/nwp_consumer/internal/inputs/noaa/aws.py index d8251936..7d898a6d 100644 --- a/src/nwp_consumer/internal/inputs/noaa/aws.py +++ b/src/nwp_consumer/internal/inputs/noaa/aws.py @@ -113,7 +113,7 @@ def listRawFilesForInitTime(self, *, it: dt.datetime) -> list[internal.FileInfoM match_aux=not self.conform, ) # Ignore the file if it is not for today's date or has a step > 48 (when conforming) - if fi is None or fi.it() != it or (fi.step > self.hours and self.conform): + if fi is None or (fi.step > self.hours and self.conform): continue # Add the file to the list @@ -129,13 +129,6 @@ def listRawFilesForInitTime(self, *, it: dt.datetime) -> list[internal.FileInfoM return files def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 - if p.suffix != ".grib2": - log.warn( - event="cannot map non-grib file to dataset", - filepath=p.as_posix(), - ) - return xr.Dataset() - log.debug(event="mapping raw file to xarray dataset", filepath=p.as_posix()) # Load the raw file as a dataset @@ -182,6 +175,11 @@ def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 # Only conform the dataset if requested (defaults to True) if self.conform: # Rename the parameters to the OCF names + # Drop variables that are not in the OCF list first + ds = ds.drop_vars( + names=[v for v in ds.data_vars if v not in PARAMETER_RENAME_MAP.keys()], + errors="ignore", + ) # * Only do so if they exist in the dataset for oldParamName, newParamName in PARAMETER_RENAME_MAP.items(): if oldParamName in ds: diff --git a/src/nwp_consumer/internal/inputs/noaa/ncar.py b/src/nwp_consumer/internal/inputs/noaa/ncar.py deleted file mode 100644 index 7a7893c0..00000000 --- a/src/nwp_consumer/internal/inputs/noaa/ncar.py +++ /dev/null @@ -1,370 +0,0 @@ -"""Implements a client to fetch ICON data from DWD.""" -import bz2 -import datetime as dt -import pathlib -import re -import typing -import urllib.request - -import requests -import structlog -import xarray as xr - -from nwp_consumer import internal - -from ._consts import EU_ML_VARS, EU_SL_VARS, GLOBAL_ML_VARS, GLOBAL_SL_VARS -from ._models import IconFileInfo - -log = structlog.getLogger() - -# See https://d-nb.info/1081305452/34 for a list of ICON parameters -PARAMETER_RENAME_MAP: dict[str, str] = { - "t_2m": internal.OCFShortName.TemperatureAGL.value, - "clch": internal.OCFShortName.HighCloudCover.value, - "clcm": internal.OCFShortName.MediumCloudCover.value, - "clcl": internal.OCFShortName.LowCloudCover.value, - "asob_s": internal.OCFShortName.DownwardShortWaveRadiationFlux.value, - "athb_s": internal.OCFShortName.DownwardLongWaveRadiationFlux.value, - "w_snow": internal.OCFShortName.SnowDepthWaterEquivalent.value, - "relhum_2m": internal.OCFShortName.RelativeHumidityAGL.value, - "u_10m": internal.OCFShortName.WindUComponentAGL.value, - "v_10m": internal.OCFShortName.WindVComponentAGL.value, - "clat": "lat", # Icon has a seperate dataset for latitude... - "clon": "lon", # ... and longitude (for the global model)! Go figure -} - -COORDINATE_ALLOW_LIST: typing.Sequence[str] = ("time", "step", "latitude", "longitude") - - -class Client(internal.FetcherInterface): - """Implements a client to fetch ICON data from DWD.""" - - baseurl: str # The base URL for the ICON model - model: str # The model to fetch data for - parameters: list[str] # The parameters to fetch - conform: bool # Whether to rename parameters to OCF names and clear unwanted coordinates - - def __init__(self, model: str, hours: int = 48, param_group: str = "default") -> None: - """Create a new Icon Client. - - Exposes a client for ICON data from DWD that conforms to the FetcherInterface. - - Args: - model: The model to fetch data for. Valid models are "europe" and "global". - param_group: The set of parameters to fetch. - Valid groups are "default", "full", and "basic". - """ - self.baseurl = "https://opendata.dwd.de/weather/nwp" - - match model: - case "europe": - self.baseurl += "/icon-eu/grib" - case "global": - self.baseurl += "/icon/grib" - case _: - raise ValueError( - f"unknown icon model {model}. Valid models are 'europe' and 'global'", - ) - - match (param_group, model): - case ("default", _): - self.parameters = list(PARAMETER_RENAME_MAP.keys()) - self.conform = True - case ("basic", "europe"): - self.parameters = ["t_2m", "asob_s"] - self.conform = True - case ("basic", "global"): - self.parameters = ["t_2m", "asob_s", "clat", "clon"] - self.conform = True - case ("full", "europe"): - self.parameters = EU_SL_VARS + EU_ML_VARS - self.conform = False - case ("full", "global"): - self.parameters = GLOBAL_SL_VARS + GLOBAL_ML_VARS + ["clat", "clon"] - self.conform = False - case (_, _): - raise ValueError( - f"unknown parameter group {param_group}." - "Valid groups are 'default', 'full', 'basic'", - ) - - self.model = model - self.hours = hours - - def listRawFilesForInitTime(self, *, it: dt.datetime) -> list[internal.FileInfoModel]: # noqa: D102 - # ICON data is only available for today's date. If data hasn't been uploaded for that init - # time yet, then yesterday's data will still be present on the server. - if it.date() != dt.datetime.now(dt.timezone.utc).date(): - raise ValueError("ICON data is only available on today's date") - return [] - - # The ICON model only runs on the hours [00, 06, 12, 18] - if it.hour not in [0, 6, 12, 18]: - return [] - - files: list[internal.FileInfoModel] = [] - - # Files are split per parameter, level, and step, with a webpage per parameter - # * The webpage contains a list of files for the parameter - # * Find these files for each parameter and add them to the list - for param in self.parameters: - # The list of files for the parameter - parameterFiles: list[internal.FileInfoModel] = [] - - # Fetch DWD webpage detailing the available files for the parameter - response = requests.get(f"{self.baseurl}/{it.strftime('%H')}/{param}/", timeout=3) - - if response.status_code != 200: - log.warn( - event="error fetching filelisting webpage for parameter", - status=response.status_code, - url=response.url, - param=param, - inittime=it.strftime("%Y-%m-%d %H:%M"), - ) - continue - - # The webpage's HTML contains a list of tags - # * Each tag has a href, most of which point to a file) - for line in response.text.splitlines(): - # Check if the line contains a href, if not, skip it - refmatch = re.search(pattern=r'href="(.+)">', string=line) - if refmatch is None: - continue - - # The href contains the name of a file - parse this into a FileInfo object - fi: IconFileInfo | None = None - # If not conforming, match all files - # * Otherwise only match single level and time invariant - fi = _parseIconFilename( - name=refmatch.groups()[0], - baseurl=self.baseurl, - match_ml=not self.conform, - match_pl=not self.conform, - ) - # Ignore the file if it is not for today's date or has a step > 48 (when conforming) - if fi is None or fi.it() != it or (fi.step > self.hours and self.conform): - continue - - # Add the file to the list - parameterFiles.append(fi) - - log.debug( - event="listed files for parameter", - param=param, - inittime=it.strftime("%Y-%m-%d %H:%M"), - url=response.url, - numfiles=len(parameterFiles), - ) - - # Add the files for the parameter to the list of all files - files.extend(parameterFiles) - - return files - - def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 - if p.suffix != ".grib2": - log.warn( - event="cannot map non-grib file to dataset", - filepath=p.as_posix(), - ) - return xr.Dataset() - - if p.stem.endswith("_CLAT") or p.stem.endswith("_CLON"): - # Ignore the latitude and longitude files - return xr.Dataset() - - log.debug(event="mapping raw file to xarray dataset", filepath=p.as_posix()) - - # Load the raw file as a dataset - try: - ds = xr.open_dataset( - p.as_posix(), - engine="cfgrib", - chunks={ - "time": 1, - "step": 1, - "variable": -1, - "latitude": "auto", - "longitude": "auto", - }, - ) - except Exception as e: - log.warn( - event="error converting raw file as dataset", - error=e, - filepath=p.as_posix(), - ) - return xr.Dataset() - - # Only conform the dataset if requested (defaults to True) - if self.conform: - # Rename the parameters to the OCF names - # * Only do so if they exist in the dataset - for oldParamName, newParamName in PARAMETER_RENAME_MAP.items(): - if oldParamName in ds: - ds = ds.rename({oldParamName: newParamName}) - - # Delete unwanted coordinates - ds = ds.drop_vars( - names=[c for c in ds.coords if c not in COORDINATE_ALLOW_LIST], - errors="ignore", - ) - - # Inject latitude and longitude into the dataset if they are missing - if "latitude" not in ds: - rawlats: list[pathlib.Path] = list(p.parent.glob("*CLAT.grib2")) - if len(rawlats) == 0: - log.warn( - event="no latitude file found for init time", - filepath=p.as_posix(), - init_time=p.parent.name, - ) - return xr.Dataset() - latds = xr.open_dataset( - rawlats[0], - engine="cfgrib", - backend_kwargs={"errors": "ignore"}, - ) - ds = ds.assign_coords({"latitude": ("values", latds.tlat.values)}) - del latds - - if "longitude" not in ds: - rawlons: list[pathlib.Path] = list(p.parent.glob("*CLON.grib2")) - if len(rawlons) == 0: - log.warn( - event="no longitude file found for init time", - filepath=p.as_posix(), - init_time=p.parent.name, - ) - return xr.Dataset() - londs = xr.open_dataset( - rawlons[0], - engine="cfgrib", - backend_kwargs={"errors": "ignore"}, - ) - ds = ds.assign_coords({"longitude": ("values", londs.tlon.values)}) - del londs - - # Create chunked Dask dataset with a single "variable" dimension - # * Each chunk is a single time step - ds = ( - ds.rename({"time": "init_time"}) - .expand_dims("init_time") - .expand_dims("step") - .to_array(dim="variable", name=f"ICON_{self.model}".upper()) - .to_dataset() - .transpose("variable", "init_time", "step", ...) - .sortby("step") - .sortby("variable") - .chunk( - { - "init_time": 1, - "step": -1, - "variable": -1, - }, - ) - ) - - return ds - - def downloadToTemp( # noqa: D102 - self, - *, - fi: internal.FileInfoModel, - ) -> tuple[internal.FileInfoModel, pathlib.Path]: - log.debug(event="requesting download of file", file=fi.filename(), path=fi.filepath()) - try: - response = urllib.request.urlopen(fi.filepath()) - except Exception as e: - log.warn( - event="error calling url for file", - url=fi.filepath(), - filename=fi.filename(), - error=e, - ) - return fi, pathlib.Path() - - if response.status != 200: - log.warn( - event="error downloading file", - status=response.status, - url=fi.filepath(), - filename=fi.filename(), - ) - return fi, pathlib.Path() - - # Extract the bz2 file when downloading - tfp: pathlib.Path = internal.TMP_DIR / fi.filename() - with open(tfp, "wb") as f: - dec = bz2.BZ2Decompressor() - for chunk in iter(lambda: response.read(16 * 1024), b""): - f.write(dec.decompress(chunk)) - f.flush() - - log.debug( - event="fetched all data from file", - filename=fi.filename(), - url=fi.filepath(), - filepath=tfp.as_posix(), - nbytes=tfp.stat().st_size, - ) - - return fi, tfp - - -def _parseIconFilename( - name: str, - baseurl: str, - match_sl: bool = True, - match_ti: bool = True, - match_ml: bool = False, - match_pl: bool = False, -) -> IconFileInfo | None: - """Parse a string of HTML into an IconFileInfo object, if it contains one. - - Args: - name: The name of the file to parse - baseurl: The base URL for the ICON model - match_sl: Whether to match single-level files - match_ti: Whether to match time-invariant files - match_ml: Whether to match model-level files - match_pl: Whether to match pressure-level files - """ - # Define the regex patterns to match the different types of file; X is step, L is level - # * Single Level: `MODEL_single-level_YYYYDDMMHH_XXX_SOME_PARAM.grib2.bz2` - slRegex = r"single-level_(\d{10})_(\d{3})_([A-Za-z_\d]+).grib" - # * Time Invariant: `MODEL_time-invariant_YYYYDDMMHH_SOME_PARAM.grib2.bz2` - tiRegex = r"time-invariant_(\d{10})_([A-Za-z_\d]+).grib" - # * Model Level: `MODEL_model-level_YYYYDDMMHH_XXX_LLL_SOME_PARAM.grib2.bz2` - mlRegex = r"model-level_(\d{10})_(\d{3})_(\d+)_([A-Za-z_\d]+).grib" - # * Pressure Level: `MODEL_pressure-level_YYYYDDMMHH_XXX_LLLL_SOME_PARAM.grib2.bz2` - plRegex = r"pressure-level_(\d{10})_(\d{3})_(\d+)_([A-Za-z_\d]+).grib" - - itstring = paramstring = "" - stepstring = "000" - # Try to match the href to one of the regex patterns - slmatch = re.search(pattern=slRegex, string=name) - timatch = re.search(pattern=tiRegex, string=name) - mlmatch = re.search(pattern=mlRegex, string=name) - plmatch = re.search(pattern=plRegex, string=name) - - if slmatch and match_sl: - itstring, stepstring, paramstring = slmatch.groups() - elif timatch and match_ti: - itstring, paramstring = timatch.groups() - elif mlmatch and match_ml: - itstring, stepstring, levelstring, paramstring = mlmatch.groups() - elif plmatch and match_pl: - itstring, stepstring, levelstring, paramstring = plmatch.groups() - else: - return None - - it = dt.datetime.strptime(itstring, "%Y%m%d%H").replace(tzinfo=dt.timezone.utc) - - return IconFileInfo( - it=it, - filename=name, - currentURL=f"{baseurl}/{it.strftime('%H')}/{paramstring.lower()}/", - step=int(stepstring), - ) diff --git a/src/nwp_consumer/internal/inputs/noaa/ncep.py b/src/nwp_consumer/internal/inputs/noaa/ncep.py deleted file mode 100644 index 8728f0e8..00000000 --- a/src/nwp_consumer/internal/inputs/noaa/ncep.py +++ /dev/null @@ -1,355 +0,0 @@ -"""Implements a client to fetch ICON data from DWD.""" -import bz2 -import datetime as dt -import pathlib -import re -import typing -import urllib.request - -import requests -import structlog -import xarray as xr - -from nwp_consumer import internal - -from ._consts import EU_ML_VARS, EU_SL_VARS, GLOBAL_ML_VARS, GLOBAL_SL_VARS -from ._models import NOAAFileInfo - -log = structlog.getLogger() - -# See https://d-nb.info/1081305452/34 for a list of ICON parameters -PARAMETER_RENAME_MAP: dict[str, str] = { - "t_2m": internal.OCFShortName.TemperatureAGL.value, - "clch": internal.OCFShortName.HighCloudCover.value, - "clcm": internal.OCFShortName.MediumCloudCover.value, - "clcl": internal.OCFShortName.LowCloudCover.value, - "asob_s": internal.OCFShortName.DownwardShortWaveRadiationFlux.value, - "athb_s": internal.OCFShortName.DownwardLongWaveRadiationFlux.value, - "w_snow": internal.OCFShortName.SnowDepthWaterEquivalent.value, - "relhum_2m": internal.OCFShortName.RelativeHumidityAGL.value, - "u_10m": internal.OCFShortName.WindUComponentAGL.value, - "v_10m": internal.OCFShortName.WindVComponentAGL.value, - "clat": "lat", # Icon has a seperate dataset for latitude... - "clon": "lon", # ... and longitude (for the global model)! Go figure -} - -COORDINATE_ALLOW_LIST: typing.Sequence[str] = ("time", "step", "latitude", "longitude") - - -class Client(internal.FetcherInterface): - """Implements a client to fetch ICON data from DWD.""" - - baseurl: str # The base URL for the ICON model - model: str # The model to fetch data for - parameters: list[str] # The parameters to fetch - conform: bool # Whether to rename parameters to OCF names and clear unwanted coordinates - - def __init__(self, model: str, hours: int = 48, param_group: str = "default") -> None: - """Create a new Icon Client. - - Exposes a client for ICON data from DWD that conforms to the FetcherInterface. - - Args: - model: The model to fetch data for. Valid models are "europe" and "global". - param_group: The set of parameters to fetch. - Valid groups are "default", "full", and "basic". - """ - self.baseurl = "https://opendata.dwd.de/weather/nwp" - - match model: - case "europe": - self.baseurl += "/icon-eu/grib" - case "global": - self.baseurl += "/icon/grib" - case _: - raise ValueError( - f"unknown icon model {model}. Valid models are 'europe' and 'global'", - ) - - match (param_group, model): - case ("default", _): - self.parameters = list(PARAMETER_RENAME_MAP.keys()) - self.conform = True - case ("basic", "europe"): - self.parameters = ["t_2m", "asob_s"] - self.conform = True - case ("basic", "global"): - self.parameters = ["t_2m", "asob_s", "clat", "clon"] - self.conform = True - case ("full", "europe"): - self.parameters = EU_SL_VARS + EU_ML_VARS - self.conform = False - case ("full", "global"): - self.parameters = GLOBAL_SL_VARS + GLOBAL_ML_VARS + ["clat", "clon"] - self.conform = False - case (_, _): - raise ValueError( - f"unknown parameter group {param_group}." - "Valid groups are 'default', 'full', 'basic'", - ) - - self.model = model - self.hours = hours - - def listRawFilesForInitTime(self, *, it: dt.datetime) -> list[internal.FileInfoModel]: # noqa: D102 - # ICON data is only available for today's date. If data hasn't been uploaded for that init - # time yet, then yesterday's data will still be present on the server. - if it.date() != dt.datetime.now(dt.timezone.utc).date(): - raise ValueError("ICON data is only available on today's date") - return [] - - # The ICON model only runs on the hours [00, 06, 12, 18] - if it.hour not in [0, 6, 12, 18]: - return [] - - files: list[internal.FileInfoModel] = [] - - # Files are split per parameter, level, and step, with a webpage per parameter - # * The webpage contains a list of files for the parameter - # * Find these files for each parameter and add them to the list - for param in self.parameters: - # The list of files for the parameter - parameterFiles: list[internal.FileInfoModel] = [] - - # Fetch DWD webpage detailing the available files for the parameter - response = requests.get(f"{self.baseurl}/{it.strftime('%H')}/{param}/", timeout=3) - - if response.status_code != 200: - log.warn( - event="error fetching filelisting webpage for parameter", - status=response.status_code, - url=response.url, - param=param, - inittime=it.strftime("%Y-%m-%d %H:%M"), - ) - continue - - # The webpage's HTML contains a list of tags - # * Each tag has a href, most of which point to a file) - for line in response.text.splitlines(): - # Check if the line contains a href, if not, skip it - refmatch = re.search(pattern=r'href="(.+)">', string=line) - if refmatch is None: - continue - - # The href contains the name of a file - parse this into a FileInfo object - fi: IconFileInfo | None = None - # If not conforming, match all files - # * Otherwise only match single level and time invariant - fi = _parseIconFilename( - name=refmatch.groups()[0], - baseurl=self.baseurl, - match_ml=not self.conform, - match_pl=not self.conform, - ) - # Ignore the file if it is not for today's date or has a step > 48 (when conforming) - if fi is None or fi.it() != it or (fi.step > self.hours and self.conform): - continue - - # Add the file to the list - parameterFiles.append(fi) - - log.debug( - event="listed files for parameter", - param=param, - inittime=it.strftime("%Y-%m-%d %H:%M"), - url=response.url, - numfiles=len(parameterFiles), - ) - - # Add the files for the parameter to the list of all files - files.extend(parameterFiles) - - return files - - def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 - if p.suffix != ".grib2": - log.warn( - event="cannot map non-grib file to dataset", - filepath=p.as_posix(), - ) - return xr.Dataset() - - if p.stem.endswith("_CLAT") or p.stem.endswith("_CLON"): - # Ignore the latitude and longitude files - return xr.Dataset() - - log.debug(event="mapping raw file to xarray dataset", filepath=p.as_posix()) - - # Load the raw file as a dataset - try: - ds = xr.open_dataset( - p.as_posix(), - engine="cfgrib", - chunks={ - "time": 1, - "step": 1, - "variable": -1, - "latitude": "auto", - "longitude": "auto", - }, - ) - except Exception as e: - log.warn( - event="error converting raw file as dataset", - error=e, - filepath=p.as_posix(), - ) - return xr.Dataset() - - # Only conform the dataset if requested (defaults to True) - if self.conform: - # Rename the parameters to the OCF names - # * Only do so if they exist in the dataset - for oldParamName, newParamName in PARAMETER_RENAME_MAP.items(): - if oldParamName in ds: - ds = ds.rename({oldParamName: newParamName}) - - # Delete unwanted coordinates - ds = ds.drop_vars( - names=[c for c in ds.coords if c not in COORDINATE_ALLOW_LIST], - errors="ignore", - ) - - # Inject latitude and longitude into the dataset if they are missing - if "latitude" not in ds: - rawlats: list[pathlib.Path] = list(p.parent.glob("*CLAT.grib2")) - if len(rawlats) == 0: - log.warn( - event="no latitude file found for init time", - filepath=p.as_posix(), - init_time=p.parent.name, - ) - return xr.Dataset() - latds = xr.open_dataset( - rawlats[0], - engine="cfgrib", - backend_kwargs={"errors": "ignore"}, - ) - ds = ds.assign_coords({"latitude": ("values", latds.tlat.values)}) - del latds - - if "longitude" not in ds: - rawlons: list[pathlib.Path] = list(p.parent.glob("*CLON.grib2")) - if len(rawlons) == 0: - log.warn( - event="no longitude file found for init time", - filepath=p.as_posix(), - init_time=p.parent.name, - ) - return xr.Dataset() - londs = xr.open_dataset( - rawlons[0], - engine="cfgrib", - backend_kwargs={"errors": "ignore"}, - ) - ds = ds.assign_coords({"longitude": ("values", londs.tlon.values)}) - del londs - - # Create chunked Dask dataset with a single "variable" dimension - # * Each chunk is a single time step - ds = ( - ds.rename({"time": "init_time"}) - .expand_dims("init_time") - .expand_dims("step") - .to_array(dim="variable", name=f"ICON_{self.model}".upper()) - .to_dataset() - .transpose("variable", "init_time", "step", ...) - .sortby("step") - .sortby("variable") - .chunk( - { - "init_time": 1, - "step": -1, - "variable": -1, - }, - ) - ) - - return ds - - def downloadToTemp( # noqa: D102 - self, - *, - fi: internal.FileInfoModel, - ) -> tuple[internal.FileInfoModel, pathlib.Path]: - log.debug(event="requesting download of file", file=fi.filename(), path=fi.filepath()) - try: - response = urllib.request.urlopen(fi.filepath()) - except Exception as e: - log.warn( - event="error calling url for file", - url=fi.filepath(), - filename=fi.filename(), - error=e, - ) - return fi, pathlib.Path() - - if response.status != 200: - log.warn( - event="error downloading file", - status=response.status, - url=fi.filepath(), - filename=fi.filename(), - ) - return fi, pathlib.Path() - - # Extract the bz2 file when downloading - tfp: pathlib.Path = internal.TMP_DIR / fi.filename() - with open(tfp, "wb") as f: - dec = bz2.BZ2Decompressor() - for chunk in iter(lambda: response.read(16 * 1024), b""): - f.write(dec.decompress(chunk)) - f.flush() - - log.debug( - event="fetched all data from file", - filename=fi.filename(), - url=fi.filepath(), - filepath=tfp.as_posix(), - nbytes=tfp.stat().st_size, - ) - - return fi, tfp - - -def _parseNCEPFilename( - name: str, - baseurl: str, - match_aux: bool = True, - match_main: bool = True -) -> NOAAFileInfo | None: - """Parse a string of HTML into an IconFileInfo object, if it contains one. - - Args: - name: The name of the file to parse - baseurl: The base URL for the ICON model - """ - # Only 2 types of file, they contain all variables in it - "https://nomads.ncep.noaa.gov/pub/data/nccf/com/gfs/prod/gfs.20231206/06/atmos/gfs.t06z.pgrb2.0p25.f002" - "https://nomads.ncep.noaa.gov/pub/data/nccf/com/gfs/prod/gfs.20231206/06/atmos/gfs.t06z.pgrb2b.0p25.f002" - # Define the regex patterns to match the different types of file; X is step, L is level - mainRegex = r"gfs.t(\d{2})z.pgrb2.0p25.f(\d{3})" - # Auxiliary files have b appended to them - auxRegex = r"gfs.t(\d{2})z.pgrb2b.0p25.f(\d{3})" - itstring = paramstring = "" - stepstring = "000" - # Try to match the href to one of the regex patterns - mainmatch = re.search(pattern=mainRegex, string=name) - auxmatch = re.search(pattern=auxRegex, string=name) - - if mainmatch and match_main: - itstring, stepstring = mainmatch.groups() - elif auxmatch and match_aux: - itstring, paramstring = auxmatch.groups() - else: - return None - - it = dt.datetime.strptime(itstring, "%Y%m%d%H").replace(tzinfo=dt.timezone.utc) - - return NOAAFileInfo( - it=it, - filename=name, - currentURL=f"{baseurl}/{it.strftime('%H')}/{paramstring.lower()}/", - step=int(stepstring), - ) diff --git a/src/nwp_consumer/internal/inputs/noaa/test_aws.py b/src/nwp_consumer/internal/inputs/noaa/test_aws.py new file mode 100644 index 00000000..36e4bd18 --- /dev/null +++ b/src/nwp_consumer/internal/inputs/noaa/test_aws.py @@ -0,0 +1,55 @@ +import datetime as dt +import pathlib +import unittest +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from ._models import NOAAFileInfo + +from .aws import Client, _parseAWSFilename + +testClient = Client(model="global", param_group="full") + + +class TestClient(unittest.TestCase): + def test_mapTemp(self) -> None: + # Test with global file + testFilePath: pathlib.Path = ( + pathlib.Path(__file__).parent / "gfs.t06z.pgrb2.0p25.f005" + ) + out = testClient.mapTemp(p=testFilePath) + print(out) + # Check latitude and longitude are injected + self.assertTrue("latitude" in out.coords) + self.assertTrue("longitude" in out.coords) + # Check that the dimensions are correctly ordered and renamed + self.assertEqual( + out[next(iter(out.data_vars.keys()))].dims, + ("init_time", "step", "latitude", "longitude"), + ) + + +class TestParseIconFilename(unittest.TestCase): + baseurl = "https://opendata.dwd.de/weather/nwp/icon/grib" + + def test_parsesSingleLevel(self) -> None: + filename: str = "icon_global_icosahedral_single-level_2020090100_000_T_HUM.grib2.bz2" + + out: NOAAFileInfo | None = _parseAWSFilename( + name=filename, + baseurl=self.baseurl, + ) + self.assertIsNotNone(out) + self.assertEqual(out.filename(), filename.removesuffix(".bz2")) + self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) + + def test_parsesTimeInvariant(self) -> None: + filename: str = "icon_global_icosahedral_time-invariant_2020090100_CLAT.grib2.bz2" + + out: NOAAFileInfo | None = _parseAWSFilename( + name=filename, + baseurl=self.baseurl, + ) + self.assertIsNotNone(out) + self.assertEqual(out.filename(), filename.removesuffix(".bz2")) + self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) diff --git a/src/nwp_consumer/internal/inputs/noaa/test_ncar.py b/src/nwp_consumer/internal/inputs/noaa/test_ncar.py deleted file mode 100644 index 486490e8..00000000 --- a/src/nwp_consumer/internal/inputs/noaa/test_ncar.py +++ /dev/null @@ -1,112 +0,0 @@ -import datetime as dt -import pathlib -import unittest -from typing import TYPE_CHECKING - -if TYPE_CHECKING: - from ._models import IconFileInfo - -from .client import Client, _parseIconFilename - -testClient = Client(model="global") - - -class TestClient(unittest.TestCase): - def test_mapTemp(self) -> None: - # Test with global file - testFilePath: pathlib.Path = ( - pathlib.Path(__file__).parent / "test_icon_global_001_CLCL.grib2" - ) - out = testClient.mapTemp(p=testFilePath) - - # Check latitude and longitude are injected - self.assertTrue("latitude" in out.coords) - self.assertTrue("longitude" in out.coords) - # Check that the dimensions are correctly ordered and renamed - self.assertEqual( - out[next(iter(out.data_vars.keys()))].dims, - ("variable", "init_time", "step", "values"), - ) - # Check that the parameter is renamed - self.assertEqual(out["variable"].values[0], "ccl") - - # Test with europe file - testFilePath: pathlib.Path = ( - pathlib.Path(__file__).parent / "test_icon_europe_001_CLCL.grib2" - ) - out = testClient.mapTemp(p=testFilePath) - - # Check latitude and longitude are present - self.assertTrue("latitude" in out.coords) - self.assertTrue("longitude" in out.coords) - # Check that the dimensions are correctly ordered and renamed - self.assertEqual( - out[next(iter(out.data_vars.keys()))].dims, - ("variable", "init_time", "step", "latitude", "longitude"), - ) - # Check that the parameter is renamed - self.assertEqual(out["variable"].values[0], "ccl") - - -class TestParseIconFilename(unittest.TestCase): - baseurl = "https://opendata.dwd.de/weather/nwp/icon/grib" - - def test_parsesSingleLevel(self) -> None: - filename: str = "icon_global_icosahedral_single-level_2020090100_000_T_HUM.grib2.bz2" - - out: IconFileInfo | None = _parseIconFilename( - name=filename, - baseurl=self.baseurl, - ) - self.assertIsNotNone(out) - self.assertEqual(out.filename(), filename.removesuffix(".bz2")) - self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) - - def test_parsesTimeInvariant(self) -> None: - filename: str = "icon_global_icosahedral_time-invariant_2020090100_CLAT.grib2.bz2" - - out: IconFileInfo | None = _parseIconFilename( - name=filename, - baseurl=self.baseurl, - ) - self.assertIsNotNone(out) - self.assertEqual(out.filename(), filename.removesuffix(".bz2")) - self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) - - def test_parsesModelLevel(self) -> None: - filename: str = "icon_global_icosahedral_model-level_2020090100_048_32_CLCL.grib2.bz2" - - out: IconFileInfo | None = _parseIconFilename( - name=filename, - baseurl=self.baseurl, - match_ml=True, - ) - self.assertIsNotNone(out) - self.assertEqual(out.filename(), filename.removesuffix(".bz2")) - self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) - - out: IconFileInfo | None = _parseIconFilename( - name=filename, - baseurl=self.baseurl, - match_ml=False, - ) - self.assertIsNone(out) - - def test_parsesPressureLevel(self) -> None: - filename: str = "icon_global_icosahedral_pressure-level_2020090100_048_1000_T.grib2.bz2" - - out: IconFileInfo | None = _parseIconFilename( - name=filename, - baseurl=self.baseurl, - match_pl=True, - ) - self.assertIsNotNone(out) - self.assertEqual(out.filename(), filename.removesuffix(".bz2")) - self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) - - out: IconFileInfo | None = _parseIconFilename( - name=filename, - baseurl=self.baseurl, - match_pl=False, - ) - self.assertIsNone(out) diff --git a/src/nwp_consumer/internal/inputs/noaa/test_ncep.py b/src/nwp_consumer/internal/inputs/noaa/test_ncep.py deleted file mode 100644 index 486490e8..00000000 --- a/src/nwp_consumer/internal/inputs/noaa/test_ncep.py +++ /dev/null @@ -1,112 +0,0 @@ -import datetime as dt -import pathlib -import unittest -from typing import TYPE_CHECKING - -if TYPE_CHECKING: - from ._models import IconFileInfo - -from .client import Client, _parseIconFilename - -testClient = Client(model="global") - - -class TestClient(unittest.TestCase): - def test_mapTemp(self) -> None: - # Test with global file - testFilePath: pathlib.Path = ( - pathlib.Path(__file__).parent / "test_icon_global_001_CLCL.grib2" - ) - out = testClient.mapTemp(p=testFilePath) - - # Check latitude and longitude are injected - self.assertTrue("latitude" in out.coords) - self.assertTrue("longitude" in out.coords) - # Check that the dimensions are correctly ordered and renamed - self.assertEqual( - out[next(iter(out.data_vars.keys()))].dims, - ("variable", "init_time", "step", "values"), - ) - # Check that the parameter is renamed - self.assertEqual(out["variable"].values[0], "ccl") - - # Test with europe file - testFilePath: pathlib.Path = ( - pathlib.Path(__file__).parent / "test_icon_europe_001_CLCL.grib2" - ) - out = testClient.mapTemp(p=testFilePath) - - # Check latitude and longitude are present - self.assertTrue("latitude" in out.coords) - self.assertTrue("longitude" in out.coords) - # Check that the dimensions are correctly ordered and renamed - self.assertEqual( - out[next(iter(out.data_vars.keys()))].dims, - ("variable", "init_time", "step", "latitude", "longitude"), - ) - # Check that the parameter is renamed - self.assertEqual(out["variable"].values[0], "ccl") - - -class TestParseIconFilename(unittest.TestCase): - baseurl = "https://opendata.dwd.de/weather/nwp/icon/grib" - - def test_parsesSingleLevel(self) -> None: - filename: str = "icon_global_icosahedral_single-level_2020090100_000_T_HUM.grib2.bz2" - - out: IconFileInfo | None = _parseIconFilename( - name=filename, - baseurl=self.baseurl, - ) - self.assertIsNotNone(out) - self.assertEqual(out.filename(), filename.removesuffix(".bz2")) - self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) - - def test_parsesTimeInvariant(self) -> None: - filename: str = "icon_global_icosahedral_time-invariant_2020090100_CLAT.grib2.bz2" - - out: IconFileInfo | None = _parseIconFilename( - name=filename, - baseurl=self.baseurl, - ) - self.assertIsNotNone(out) - self.assertEqual(out.filename(), filename.removesuffix(".bz2")) - self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) - - def test_parsesModelLevel(self) -> None: - filename: str = "icon_global_icosahedral_model-level_2020090100_048_32_CLCL.grib2.bz2" - - out: IconFileInfo | None = _parseIconFilename( - name=filename, - baseurl=self.baseurl, - match_ml=True, - ) - self.assertIsNotNone(out) - self.assertEqual(out.filename(), filename.removesuffix(".bz2")) - self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) - - out: IconFileInfo | None = _parseIconFilename( - name=filename, - baseurl=self.baseurl, - match_ml=False, - ) - self.assertIsNone(out) - - def test_parsesPressureLevel(self) -> None: - filename: str = "icon_global_icosahedral_pressure-level_2020090100_048_1000_T.grib2.bz2" - - out: IconFileInfo | None = _parseIconFilename( - name=filename, - baseurl=self.baseurl, - match_pl=True, - ) - self.assertIsNotNone(out) - self.assertEqual(out.filename(), filename.removesuffix(".bz2")) - self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) - - out: IconFileInfo | None = _parseIconFilename( - name=filename, - baseurl=self.baseurl, - match_pl=False, - ) - self.assertIsNone(out) From d4f20d701120bb1eb166e98ad3327768a46723ca Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 11:09:04 +0000 Subject: [PATCH 06/22] Remove print --- src/nwp_consumer/internal/inputs/noaa/test_aws.py | 1 - 1 file changed, 1 deletion(-) diff --git a/src/nwp_consumer/internal/inputs/noaa/test_aws.py b/src/nwp_consumer/internal/inputs/noaa/test_aws.py index 36e4bd18..4de855fc 100644 --- a/src/nwp_consumer/internal/inputs/noaa/test_aws.py +++ b/src/nwp_consumer/internal/inputs/noaa/test_aws.py @@ -18,7 +18,6 @@ def test_mapTemp(self) -> None: pathlib.Path(__file__).parent / "gfs.t06z.pgrb2.0p25.f005" ) out = testClient.mapTemp(p=testFilePath) - print(out) # Check latitude and longitude are injected self.assertTrue("latitude" in out.coords) self.assertTrue("longitude" in out.coords) From 077e022e38ab47e11461a3e6ba63c14de875f042 Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 11:15:01 +0000 Subject: [PATCH 07/22] Update test and passing datetime --- src/nwp_consumer/internal/inputs/noaa/aws.py | 15 ++++++------ .../internal/inputs/noaa/test_aws.py | 24 ++++++------------- 2 files changed, 14 insertions(+), 25 deletions(-) diff --git a/src/nwp_consumer/internal/inputs/noaa/aws.py b/src/nwp_consumer/internal/inputs/noaa/aws.py index 7d898a6d..c58f080c 100644 --- a/src/nwp_consumer/internal/inputs/noaa/aws.py +++ b/src/nwp_consumer/internal/inputs/noaa/aws.py @@ -51,7 +51,7 @@ def __init__(self, model: str, hours: int = 48, param_group: str = "default") -> param_group: The set of parameters to fetch. Valid groups are "default", "full", and "basic". """ - self.baseurl = "https://noaa-gfs-bdp-pds.s3.amazonaws.com/" + self.baseurl = "https://noaa-gfs-bdp-pds.s3.amazonaws.com" match (param_group, model): case ("default", _): @@ -105,12 +105,12 @@ def listRawFilesForInitTime(self, *, it: dt.datetime) -> list[internal.FileInfoM # The href contains the name of a file - parse this into a FileInfo object fi: NOAAFileInfo | None = None - # If not conforming, match all files - # * Otherwise only match single level and time invariant + # The baseurl has to have the time and init time added to it for GFS fi = _parseAWSFilename( name=refmatch.groups()[0], - baseurl=self.baseurl, + baseurl=f"{self.baseurl}/gfs.{it.strftime('%Y%m%d')}/{it.strftime('%H')}", match_aux=not self.conform, + it=it, ) # Ignore the file if it is not for today's date or has a step > 48 (when conforming) if fi is None or (fi.step > self.hours and self.conform): @@ -259,7 +259,8 @@ def _parseAWSFilename( name: str, baseurl: str, match_aux: bool = True, - match_main: bool = True + match_main: bool = True, + it: dt.datetime | None = None, ) -> NOAAFileInfo | None: """Parse a string of HTML into an IconFileInfo object, if it contains one. @@ -287,11 +288,9 @@ def _parseAWSFilename( else: return None - it = dt.datetime.strptime(itstring, "%Y%m%d%H").replace(tzinfo=dt.timezone.utc) - return NOAAFileInfo( it=it, filename=name, - currentURL=f"{baseurl}/gfs.{it.strftime('%Y%m%d')}/{it.strftime('%H')}/gfs.t{itstring}z.pgrb2.0p25.f{stepstring}", + currentURL=f"{baseurl}/gfs.t{itstring}z.pgrb2.0p25.f{stepstring}", step=int(stepstring), ) diff --git a/src/nwp_consumer/internal/inputs/noaa/test_aws.py b/src/nwp_consumer/internal/inputs/noaa/test_aws.py index 4de855fc..0e267d65 100644 --- a/src/nwp_consumer/internal/inputs/noaa/test_aws.py +++ b/src/nwp_consumer/internal/inputs/noaa/test_aws.py @@ -29,26 +29,16 @@ def test_mapTemp(self) -> None: class TestParseIconFilename(unittest.TestCase): - baseurl = "https://opendata.dwd.de/weather/nwp/icon/grib" + baseurl = "https://noaa-gfs-bdp-pds.s3.amazonaws.com" def test_parsesSingleLevel(self) -> None: - filename: str = "icon_global_icosahedral_single-level_2020090100_000_T_HUM.grib2.bz2" - - out: NOAAFileInfo | None = _parseAWSFilename( - name=filename, - baseurl=self.baseurl, - ) - self.assertIsNotNone(out) - self.assertEqual(out.filename(), filename.removesuffix(".bz2")) - self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) - - def test_parsesTimeInvariant(self) -> None: - filename: str = "icon_global_icosahedral_time-invariant_2020090100_CLAT.grib2.bz2" - + filename: str = "gfs.t06z.pgrb2.0p25.f005" + it = dt.datetime(2020, 9, 1, 6, tzinfo=dt.timezone.utc) out: NOAAFileInfo | None = _parseAWSFilename( name=filename, - baseurl=self.baseurl, + baseurl=f"{self.baseurl}/gfs.{it.strftime('%Y%m%d')}/{it.strftime('%H')}", + it=it, ) self.assertIsNotNone(out) - self.assertEqual(out.filename(), filename.removesuffix(".bz2")) - self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 0, tzinfo=dt.timezone.utc)) + self.assertEqual(out.filename(), filename) + self.assertEqual(out.it(), dt.datetime(2020, 9, 1, 6, tzinfo=dt.timezone.utc)) From f9d3aea063406596dc8f91c8dcf75710d9e577e6 Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 11:18:52 +0000 Subject: [PATCH 08/22] Add GFS Variable list --- .../internal/inputs/noaa/_consts.py | 31 +------------------ src/nwp_consumer/internal/inputs/noaa/aws.py | 4 +-- 2 files changed, 3 insertions(+), 32 deletions(-) diff --git a/src/nwp_consumer/internal/inputs/noaa/_consts.py b/src/nwp_consumer/internal/inputs/noaa/_consts.py index fde186e4..8f526698 100644 --- a/src/nwp_consumer/internal/inputs/noaa/_consts.py +++ b/src/nwp_consumer/internal/inputs/noaa/_consts.py @@ -1,33 +1,4 @@ """Defines all parameters available from icon.""" -EU_SL_VARS = [ - "alb_rad", "alhfl_s", "ashfl_s", "asob_s", "asob_t", - "aswdifd_s", "aswdifu_s", "aswdir_s", "athb_s", - "athb_t", "aumfl_s" "avmfl_s", - "cape_con", "cape_ml", "clch", "clcl", "clcm", "clct", "clct_mod", "cldepth", - "h_snow", "hbas_con", "htop_con", "htop_dc", "hzerocl", - "pmsl", "ps", - "qv_2m", "qv_s", - "rain_con", "rain_gsp", "relhum_2m", "rho_snow", "runoff_g", "runoff_s", - "snow_con", "snow_gsp", "snowlmt", "synmsg_bt_cl_ir10.8", - "t_2m", "t_g", "t_snow", "tch", "tcm", "td_2m", - "tmax_2m", "tmin_2m", "tot_prec", "tqc", "tqi", - "u_10m", "v_10m", "vmax_10m", - "w_snow", "w_so", "ww", - "z0", -] - -EU_ML_VARS = ["clc", "fi", "omega", "p", "qv", "relhum", "t", "tke", "u", "v", "w"] - -GLOBAL_SL_VARS = [ - *EU_SL_VARS, - "alb_rad", - "c_t_lk", - "freshsnw", "fr_ice", - "h_ice", "h_ml_lk", - "t_ice", "t_s", "tqr", "tqs", "tqv", -] - -GLOBAL_ML_VARS: list[str] = ["fi", "relhum", "t", "u", "v"] - +GFS_VARIABLES = ['siconc_surface_instant','slt_surface_instant','cape_surface_instant','t_surface_instant','sp_surface_instant','lsm_surface_instant','sr_surface_instant','vis_surface_instant','prate_surface_instant','acpcp_surface_accum','sde_surface_instant','cin_surface_instant','orog_surface_instant','tp_surface_accum','lhtfl_surface_avg','shtfl_surface_avg','crain_surface_instant','cfrzr_surface_instant','cicep_surface_instant','csnow_surface_instant','cprat_surface_instant','cpofp_surface_instant','pevpr_surface_instant','sdwe_surface_instant','uflx_surface_avg','vflx_surface_avg','gust_surface_instant','fricv_surface_instant','u-gwd_surface_avg','v-gwd_surface_avg','hpbl_surface_instant','dswrf_surface_avg','uswrf_surface_avg','dlwrf_surface_avg','ulwrf_surface_avg','lftx_surface_instant','4lftx_surface_instant','veg_surface_instant','watr_surface_accum','gflux_surface_avg','fco2rec_surface_instant','hindex_surface_instant','wilt_surface_instant','fldcp_surface_instant','al_surface_avg','SUNSD_surface_instant','prate_surface_avg','crain_surface_avg','cfrzr_surface_avg','cicep_surface_avg','csnow_surface_avg','cprat_surface_avg','pres_instant','q_instant','t_instant','u_instant','v_instant','u10_instant','v10_instant','t2m_instant','d2m_instant','tmax_max','tmin_min','sh2_instant','r2_instant','aptmp_instant','u100_instant','v100_instant','refd_instant','t','u','v','q','w','gh','r','absv','o3mr','wz','tcc','clwmr','icmr','rwmr','snmr','grle',] diff --git a/src/nwp_consumer/internal/inputs/noaa/aws.py b/src/nwp_consumer/internal/inputs/noaa/aws.py index c58f080c..ad1f4aee 100644 --- a/src/nwp_consumer/internal/inputs/noaa/aws.py +++ b/src/nwp_consumer/internal/inputs/noaa/aws.py @@ -13,7 +13,7 @@ from nwp_consumer import internal -from ._consts import EU_ML_VARS, EU_SL_VARS, GLOBAL_ML_VARS, GLOBAL_SL_VARS +from ._consts import GFS_VARIABLES from ._models import NOAAFileInfo log = structlog.getLogger() @@ -61,7 +61,7 @@ def __init__(self, model: str, hours: int = 48, param_group: str = "default") -> self.parameters = ["t2m_instant", "tcc",] self.conform = True case ("full", "global"): - self.parameters = GLOBAL_SL_VARS + GLOBAL_ML_VARS + self.parameters = GFS_VARIABLES self.conform = False case (_, _): raise ValueError( From bd27b1be50fa3a6e093e84b9c574f91d28c096b9 Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 11:49:51 +0000 Subject: [PATCH 09/22] Add NCAR --- .../internal/inputs/noaa/__init__.py | 3 +- src/nwp_consumer/internal/inputs/noaa/ncar.py | 298 ++++++++++++++++++ .../internal/inputs/noaa/test_ncar.py | 43 +++ 3 files changed, 343 insertions(+), 1 deletion(-) create mode 100644 src/nwp_consumer/internal/inputs/noaa/ncar.py create mode 100644 src/nwp_consumer/internal/inputs/noaa/test_ncar.py diff --git a/src/nwp_consumer/internal/inputs/noaa/__init__.py b/src/nwp_consumer/internal/inputs/noaa/__init__.py index 81bccce0..c0ab0b44 100644 --- a/src/nwp_consumer/internal/inputs/noaa/__init__.py +++ b/src/nwp_consumer/internal/inputs/noaa/__init__.py @@ -1,3 +1,4 @@ -__all__ = ["AWSClient"] +__all__ = ["AWSClient", "NCARClient"] from .aws import Client as AWSClient +from .ncar import Client as NCARClient \ No newline at end of file diff --git a/src/nwp_consumer/internal/inputs/noaa/ncar.py b/src/nwp_consumer/internal/inputs/noaa/ncar.py new file mode 100644 index 00000000..e44f2e43 --- /dev/null +++ b/src/nwp_consumer/internal/inputs/noaa/ncar.py @@ -0,0 +1,298 @@ +"""Implements a client to fetch ICON data from DWD.""" +import bz2 +import datetime as dt +import pathlib +import re +import typing +import urllib.request + +import requests +import structlog +import xarray as xr +import cfgrib + +from nwp_consumer import internal + +from ._consts import GFS_VARIABLES +from ._models import NOAAFileInfo + +log = structlog.getLogger() + +# See https://d-nb.info/1081305452/34 for a list of ICON parameters +PARAMETER_RENAME_MAP: dict[str, str] = { + "t2m_instant": internal.OCFShortName.TemperatureAGL.value, + "tcc": internal.OCFShortName.HighCloudCover.value, + "dswrf_surface_avg": internal.OCFShortName.DownwardShortWaveRadiationFlux.value, + "dlwrf_surface_avg": internal.OCFShortName.DownwardLongWaveRadiationFlux.value, + "sdwe_surface_instant": internal.OCFShortName.SnowDepthWaterEquivalent.value, + "r": internal.OCFShortName.RelativeHumidityAGL.value, + "u10_instant": internal.OCFShortName.WindUComponentAGL.value, + "v10_instant": internal.OCFShortName.WindVComponentAGL.value, +} + +COORDINATE_ALLOW_LIST: typing.Sequence[str] = ("time", "step", "latitude", "longitude") + + +class Client(internal.FetcherInterface): + """Implements a client to fetch ICON data from DWD.""" + + baseurl: str # The base URL for the ICON model + model: str # The model to fetch data for + parameters: list[str] # The parameters to fetch + conform: bool # Whether to rename parameters to OCF names and clear unwanted coordinates + + def __init__(self, model: str, hours: int = 48, param_group: str = "default") -> None: + """Create a new Icon Client. + + Exposes a client for ICON data from DWD that conforms to the FetcherInterface. + + Args: + model: The model to fetch data for. Valid models are "europe" and "global". + param_group: The set of parameters to fetch. + Valid groups are "default", "full", and "basic". + """ + self.baseurl = "https://data.rda.ucar.edu/ds084.1" + + match (param_group, model): + case ("default", _): + self.parameters = list(PARAMETER_RENAME_MAP.keys()) + self.conform = True + case ("basic", "global"): + self.parameters = ["t2m_instant", "tcc",] + self.conform = True + case ("full", "global"): + self.parameters = GFS_VARIABLES + self.conform = False + case (_, _): + raise ValueError( + f"unknown parameter group {param_group}." + "Valid groups are 'default', 'full', 'basic'", + ) + + self.model = model + self.hours = hours + + def listRawFilesForInitTime(self, *, it: dt.datetime) -> list[internal.FileInfoModel]: # noqa: D102 + + if it.hour not in [0, 6, 12, 18]: + return [] + + files: list[internal.FileInfoModel] = [] + + # Files are split per timestep + # And the url includes the time and init time + # https://noaa-gfs-bdp-pds.s3.amazonaws.com/gfs.20201206/00/atmos/gfs.t00z.pgrb2.0p25.f000 + + # Fetch NCAR webpage detailing the available files for the parameter + response = requests.get(f"{self.baseurl}/{it.strftime('%Y')}/{it.strftime('%Y%m%d')}/", timeout=3) + + if response.status_code != 200: + log.warn( + event="error fetching filelisting webpage for parameter", + status=response.status_code, + url=response.url, + inittime=it.strftime("%Y-%m-%d %H:%M"), + ) + return [] + + # The webpage's HTML contains a list of tags + # * Each tag has a href, most of which point to a file) + for line in response.text.splitlines(): + # Check if the line contains a href, if not, skip it + refmatch = re.search(pattern=r'href="(.+)">', string=line) + if refmatch is None: + continue + + # The href contains the name of a file - parse this into a FileInfo object + fi: NOAAFileInfo | None = None + # The baseurl has to have the time and init time added to it for GFS + fi = _parseNCARFilename( + name=refmatch.groups()[0], + baseurl=f"{self.baseurl}/{it.strftime('%Y')}/{it.strftime('%Y%m%d')}", + ) + # Ignore the file if it is not for today's date or has a step > 48 (when conforming) + if fi is None or (fi.step > self.hours and self.conform): + continue + + # Add the file to the list + files.append(fi) + + log.debug( + event="listed files for init time", + inittime=it.strftime("%Y-%m-%d %H:%M"), + url=response.url, + numfiles=len(files), + ) + + return files + + def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 + if p.suffix != ".grib2": + log.warn( + event="cannot map non-grib file to dataset", + filepath=p.as_posix(), + ) + return xr.Dataset() + + log.debug(event="mapping raw file to xarray dataset", filepath=p.as_posix()) + + # Load the raw file as a dataset + try: + ds = cfgrib.open_datasets( + p.as_posix(), + ) + except Exception as e: + log.warn( + event="error converting raw file as dataset", + error=e, + filepath=p.as_posix(), + ) + return xr.Dataset() + + # Process all the parameters into a single file + ds = [ + d for d in ds if any(x in d.coords for x in ["surface", "heightAboveGround", "isobaricInhPa"]) + ] + + # Split into surface, heightAboveGround, and isobaricInhPa lists + surface = [d for d in ds if "surface" in d.coords] + heightAboveGround = [d for d in ds if "heightAboveGround" in d.coords] + isobaricInhPa = [d for d in ds if "isobaricInhPa" in d.coords] + + # Update name of each data variable based off the attribute GRIB_stepType + for i, d in enumerate(surface): + for variable in d.data_vars.keys(): + d = d.rename({variable: f"{variable}_surface_{d[f'{variable}'].attrs['GRIB_stepType']}"}) + surface[i] = d + for i, d in enumerate(heightAboveGround): + for variable in d.data_vars.keys(): + d = d.rename({variable: f"{variable}_{d[f'{variable}'].attrs['GRIB_stepType']}"}) + heightAboveGround[i] = d + + surface = xr.merge(surface) + # Drop unknown data variable + surface = surface.drop_vars("unknown_surface_instant") + heightAboveGround = xr.merge(heightAboveGround) + isobaricInhPa = xr.merge(isobaricInhPa) + + ds = xr.merge([surface, heightAboveGround, isobaricInhPa]) + + # Only conform the dataset if requested (defaults to True) + if self.conform: + # Rename the parameters to the OCF names + # Drop variables that are not in the OCF list first + ds = ds.drop_vars( + names=[v for v in ds.data_vars if v not in PARAMETER_RENAME_MAP.keys()], + errors="ignore", + ) + # * Only do so if they exist in the dataset + for oldParamName, newParamName in PARAMETER_RENAME_MAP.items(): + if oldParamName in ds: + ds = ds.rename({oldParamName: newParamName}) + + # Delete unwanted coordinates + ds = ds.drop_vars( + names=[c for c in ds.coords if c not in COORDINATE_ALLOW_LIST], + errors="ignore", + ) + + # * Each chunk is a single time step + # Does not use teh "variable" dimension, as this makes a 86GiB dataset for a single timestamp + # Keeping variables separate keeps the dataset small enough to fit in memory + ds = ( + ds.rename({"time": "init_time"}) + .expand_dims("init_time") + .expand_dims("step") + .transpose("init_time", "step", ...) + .sortby("step") + .chunk( + { + "init_time": 1, + "step": -1, + }, + ) + ) + + return ds + + def downloadToTemp( # noqa: D102 + self, + *, + fi: internal.FileInfoModel, + ) -> tuple[internal.FileInfoModel, pathlib.Path]: + log.debug(event="requesting download of file", file=fi.filename(), path=fi.filepath()) + try: + response = urllib.request.urlopen(fi.filepath()) + except Exception as e: + log.warn( + event="error calling url for file", + url=fi.filepath(), + filename=fi.filename(), + error=e, + ) + return fi, pathlib.Path() + + if response.status != 200: + log.warn( + event="error downloading file", + status=response.status, + url=fi.filepath(), + filename=fi.filename(), + ) + return fi, pathlib.Path() + + # Extract the bz2 file when downloading + tfp: pathlib.Path = internal.TMP_DIR / fi.filename() + with open(tfp, "wb") as f: + dec = bz2.BZ2Decompressor() + for chunk in iter(lambda: response.read(16 * 1024), b""): + f.write(dec.decompress(chunk)) + f.flush() + + log.debug( + event="fetched all data from file", + filename=fi.filename(), + url=fi.filepath(), + filepath=tfp.as_posix(), + nbytes=tfp.stat().st_size, + ) + + return fi, tfp + + +def _parseNCARFilename( + name: str, + baseurl: str, + match_main: bool = True, +) -> NOAAFileInfo | None: + """Parse a string of HTML into an IconFileInfo object, if it contains one. + + Args: + name: The name of the file to parse + baseurl: The base URL for the ICON model + """ + # Only 2 types of file, they contain all variables in it + # "https://nomads.ncep.noaa.gov/pub/data/nccf/com/gfs/prod/gfs.20231206/06/atmos/gfs.t06z.pgrb2.0p25.f002" + # "https://nomads.ncep.noaa.gov/pub/data/nccf/com/gfs/prod/gfs.20231206/06/atmos/gfs.t06z.pgrb2b.0p25.f002" + # Define the regex patterns to match the different types of file; X is step, L is level + + mainRegex = r"gfs.0p25.(\d{10}).f(\d{3}).grib2" + # Auxiliary files have b appended to them + itstring = paramstring = "" + stepstring = "000" + # Try to match the href to one of the regex patterns + mainmatch = re.search(pattern=mainRegex, string=name) + + if mainmatch and match_main: + itstring, stepstring = mainmatch.groups() + else: + return None + + it = dt.datetime.strptime(itstring, "%Y%m%d%H").replace(tzinfo=dt.timezone.utc) + + return NOAAFileInfo( + it=it, + filename=name, + currentURL=f"{baseurl}/gfs.0p25.{it.strftime('%Y%m%d%H')}.f{stepstring}.grib2", + step=int(stepstring), + ) diff --git a/src/nwp_consumer/internal/inputs/noaa/test_ncar.py b/src/nwp_consumer/internal/inputs/noaa/test_ncar.py new file mode 100644 index 00000000..949b38a4 --- /dev/null +++ b/src/nwp_consumer/internal/inputs/noaa/test_ncar.py @@ -0,0 +1,43 @@ +import datetime as dt +import pathlib +import unittest +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from ._models import NOAAFileInfo + +from .ncar import Client, _parseNCARFilename + +testClient = Client(model="global", param_group="full") + + +class TestClient(unittest.TestCase): + def test_mapTemp(self) -> None: + # Test with global file + testFilePath: pathlib.Path = ( + pathlib.Path(__file__).parent / "gfs.0p25.2016010300.f003.grib2" + ) + out = testClient.mapTemp(p=testFilePath) + # Check latitude and longitude are injected + self.assertTrue("latitude" in out.coords) + self.assertTrue("longitude" in out.coords) + # Check that the dimensions are correctly ordered and renamed + self.assertEqual( + out[next(iter(out.data_vars.keys()))].dims, + ("init_time", "step", "latitude", "longitude"), + ) + + +class TestParseIconFilename(unittest.TestCase): + baseurl = "https://data.rda.ucar.edu/ds084.1" + + def test_parsesSingleLevel(self) -> None: + filename: str = "gfs.0p25.2016010300.f003.grib2" + it = dt.datetime(2016, 1, 3, 0, tzinfo=dt.timezone.utc) + out: NOAAFileInfo | None = _parseNCARFilename( + name=filename, + baseurl=f"{self.baseurl}/{it.strftime('%Y')}/{it.strftime('%Y%m%d')}", + ) + self.assertIsNotNone(out) + self.assertEqual(out.filename(), filename) + self.assertEqual(out.it(), dt.datetime(2016, 1, 3, 0, tzinfo=dt.timezone.utc)) From dd5ab49849f5053ef61362eaaee0320f20a723c2 Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 11:50:58 +0000 Subject: [PATCH 10/22] Update README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 891b77a6..ea6677c9 100644 --- a/README.md +++ b/README.md @@ -30,7 +30,7 @@ currently packaged with adapters for pulling and converting `.grib` data from: - [ECMWF MARS API](https://apps.ecmwf.int/mars-catalogue) - [DWD's ICON Model from the Opendata API](https://opendata.dwd.de) - [CMC's GDPS Model from the Opendata API](https://dd.weather.gc.ca/) -- [NOAA's GFS Model from NCEP's NOMADS](https://nomads.ncep.noaa.gov/pub/data/nccf/com/gfs/prod/) +- [NOAA's GFS Model from AWS Open Data](https://noaa-gfs-bdp-pds.s3.amazonaws.com) - [NOAA's GFS Model from NCAR's Archive](https://rda.ucar.edu/datasets/ds084.1/) Similarly, the service can write to multiple sinks: From 7a7c5d69e062d6420d923b97f687481f4d35aa98 Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 12:08:55 +0000 Subject: [PATCH 11/22] Add integration tests and fix downloading --- src/nwp_consumer/internal/inputs/noaa/aws.py | 5 +- src/nwp_consumer/internal/inputs/noaa/ncar.py | 5 +- .../test_inputs_integration.py | 61 +++++++++++++++++++ 3 files changed, 63 insertions(+), 8 deletions(-) diff --git a/src/nwp_consumer/internal/inputs/noaa/aws.py b/src/nwp_consumer/internal/inputs/noaa/aws.py index ad1f4aee..5d85cd97 100644 --- a/src/nwp_consumer/internal/inputs/noaa/aws.py +++ b/src/nwp_consumer/internal/inputs/noaa/aws.py @@ -239,10 +239,7 @@ def downloadToTemp( # noqa: D102 # Extract the bz2 file when downloading tfp: pathlib.Path = internal.TMP_DIR / fi.filename() with open(tfp, "wb") as f: - dec = bz2.BZ2Decompressor() - for chunk in iter(lambda: response.read(16 * 1024), b""): - f.write(dec.decompress(chunk)) - f.flush() + f.write(response.read()) log.debug( event="fetched all data from file", diff --git a/src/nwp_consumer/internal/inputs/noaa/ncar.py b/src/nwp_consumer/internal/inputs/noaa/ncar.py index e44f2e43..21947277 100644 --- a/src/nwp_consumer/internal/inputs/noaa/ncar.py +++ b/src/nwp_consumer/internal/inputs/noaa/ncar.py @@ -244,10 +244,7 @@ def downloadToTemp( # noqa: D102 # Extract the bz2 file when downloading tfp: pathlib.Path = internal.TMP_DIR / fi.filename() with open(tfp, "wb") as f: - dec = bz2.BZ2Decompressor() - for chunk in iter(lambda: response.read(16 * 1024), b""): - f.write(dec.decompress(chunk)) - f.flush() + f.write(response.read()) log.debug( event="fetched all data from file", diff --git a/src/test_integration/test_inputs_integration.py b/src/test_integration/test_inputs_integration.py index 589ec1aa..4a036ab5 100644 --- a/src/test_integration/test_inputs_integration.py +++ b/src/test_integration/test_inputs_integration.py @@ -13,6 +13,7 @@ from nwp_consumer.internal.inputs.icon._models import IconFileInfo from nwp_consumer.internal.inputs.metoffice._models import MetOfficeFileInfo from nwp_consumer.internal.inputs.cmc._models import CMCFileInfo +from nwp_consumer.internal.inputs.noaa._models import NOAAFileInfo storageClient = outputs.localfs.Client() @@ -111,6 +112,39 @@ def test_downloadsRawGribFileFromCMC(self) -> None: self.assertTrue(tmpPath.name.endswith(".grib2")) self.assertGreater(tmpPath.stat().st_size, 40000) + def test_downloadsRawGribFileFromAWSNOAA(self) -> None: + noaaInitTime: dt.datetime = dt.datetime.now(tz=dt.UTC).replace( + hour=0, minute=0, second=0, microsecond=0, + ) + + noaaClient = inputs.noaa.aws.Client( + model="global", + ) + fileInfo = NOAAFileInfo( + it=noaaInitTime, + filename=f"gfs.t00z.pgrb2.0p25.f001", + currentURL=f"https://noaa-gfs-bdp-pds.s3.amazonaws.com/gfs.{noaaInitTime.strftime('%Y%m%d')}/{noaaInitTime.strftime('%H')}", + step=1, + ) + _, tmpPath = noaaClient.downloadToTemp(fi=fileInfo) + self.assertGreater(tmpPath.stat().st_size, 40000) + + def test_downloadsRawGribFileFromNCARNOAA(self) -> None: + noaaInitTime: dt.datetime = dt.datetime.now(tz=dt.UTC).replace( + hour=0, minute=0, second=0, microsecond=0, + ) + + noaaClient = inputs.noaa.ncar.Client( + model="global", + ) + fileInfo = NOAAFileInfo( + it=noaaInitTime, + filename=f"gfs.0p25.2016010300.f003.grib2", + currentURL=f"https://data.rda.ucar.edu/ds084.1/2016/20160103", + step=3, + ) + _, tmpPath = noaaClient.downloadToTemp(fi=fileInfo) + self.assertGreater(tmpPath.stat().st_size, 40000) class TestListRawFilesForInitTime(unittest.TestCase): def test_getsFileInfosFromCEDA(self) -> None: @@ -192,5 +226,32 @@ def test_getsFileInfosFromCMC(self) -> None: self.assertTrue(len(gepsFileInfos) > 0) self.assertNotEqual(fileInfos, gepsFileInfos) + + def test_getsFileInfosFromAWSNOAA(self) -> None: + noaaInitTime: dt.datetime = dt.datetime.now(tz=dt.UTC).replace( + hour=0, minute=0, second=0, microsecond=0, + ) + noaaClient = inputs.noaa.aws.Client( + model="global", + hours=4, + param_group="basic", + ) + fileInfos = noaaClient.listRawFilesForInitTime(it=noaaInitTime) + self.assertTrue(len(fileInfos) > 0) + + def test_getsFileInfosFromNCARNOAA(self) -> None: + noaaInitTime: dt.datetime = dt.datetime.now(tz=dt.UTC).replace( + hour=0, minute=0, second=0, microsecond=0, + ) + noaaInitTime = noaaInitTime.replace(year=2017) + noaaClient = inputs.noaa.ncar.Client( + model="global", + hours=4, + param_group="basic", + ) + fileInfos = noaaClient.listRawFilesForInitTime(it=noaaInitTime) + self.assertTrue(len(fileInfos) > 0) + + if __name__ == "__main__": unittest.main() From 7bd8f6b3457950062b31b99a322540b7df3f7c37 Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 12:12:17 +0000 Subject: [PATCH 12/22] Remove incorrect comments --- src/nwp_consumer/internal/inputs/noaa/ncar.py | 8 -------- 1 file changed, 8 deletions(-) diff --git a/src/nwp_consumer/internal/inputs/noaa/ncar.py b/src/nwp_consumer/internal/inputs/noaa/ncar.py index 21947277..be410af6 100644 --- a/src/nwp_consumer/internal/inputs/noaa/ncar.py +++ b/src/nwp_consumer/internal/inputs/noaa/ncar.py @@ -79,10 +79,6 @@ def listRawFilesForInitTime(self, *, it: dt.datetime) -> list[internal.FileInfoM files: list[internal.FileInfoModel] = [] - # Files are split per timestep - # And the url includes the time and init time - # https://noaa-gfs-bdp-pds.s3.amazonaws.com/gfs.20201206/00/atmos/gfs.t00z.pgrb2.0p25.f000 - # Fetch NCAR webpage detailing the available files for the parameter response = requests.get(f"{self.baseurl}/{it.strftime('%Y')}/{it.strftime('%Y%m%d')}/", timeout=3) @@ -268,11 +264,7 @@ def _parseNCARFilename( name: The name of the file to parse baseurl: The base URL for the ICON model """ - # Only 2 types of file, they contain all variables in it - # "https://nomads.ncep.noaa.gov/pub/data/nccf/com/gfs/prod/gfs.20231206/06/atmos/gfs.t06z.pgrb2.0p25.f002" - # "https://nomads.ncep.noaa.gov/pub/data/nccf/com/gfs/prod/gfs.20231206/06/atmos/gfs.t06z.pgrb2b.0p25.f002" # Define the regex patterns to match the different types of file; X is step, L is level - mainRegex = r"gfs.0p25.(\d{10}).f(\d{3}).grib2" # Auxiliary files have b appended to them itstring = paramstring = "" From a60ae9006c357295d4e56acf03fc0773e3d6d8f6 Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 12:16:48 +0000 Subject: [PATCH 13/22] Add variable if conform is True --- src/nwp_consumer/internal/inputs/noaa/aws.py | 43 ++++++++++---- src/nwp_consumer/internal/inputs/noaa/ncar.py | 57 ++++++++++++------- 2 files changed, 69 insertions(+), 31 deletions(-) diff --git a/src/nwp_consumer/internal/inputs/noaa/aws.py b/src/nwp_consumer/internal/inputs/noaa/aws.py index 5d85cd97..c04cc01c 100644 --- a/src/nwp_consumer/internal/inputs/noaa/aws.py +++ b/src/nwp_consumer/internal/inputs/noaa/aws.py @@ -194,19 +194,38 @@ def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 # * Each chunk is a single time step # Does not use teh "variable" dimension, as this makes a 86GiB dataset for a single timestamp # Keeping variables separate keeps the dataset small enough to fit in memory - ds = ( - ds.rename({"time": "init_time"}) - .expand_dims("init_time") - .expand_dims("step") - .transpose("init_time", "step", ...) - .sortby("step") - .chunk( - { - "init_time": 1, - "step": -1, - }, + if self.conform: + ds = ( + ds.rename({"time": "init_time"}) + .expand_dims("init_time") + .expand_dims("step") + .to_array(dim="variable", name=f"ICON_{self.model}".upper()) + .to_dataset() + .transpose("variable", "init_time", "step", ...) + .sortby("step") + .sortby("variable") + .chunk( + { + "init_time": 1, + "step": -1, + "variable": -1, + }, + ) + ) + else: + ds = ( + ds.rename({"time": "init_time"}) + .expand_dims("init_time") + .expand_dims("step") + .transpose("init_time", "step", ...) + .sortby("step") + .chunk( + { + "init_time": 1, + "step": -1, + }, + ) ) - ) return ds diff --git a/src/nwp_consumer/internal/inputs/noaa/ncar.py b/src/nwp_consumer/internal/inputs/noaa/ncar.py index be410af6..d74ad1af 100644 --- a/src/nwp_consumer/internal/inputs/noaa/ncar.py +++ b/src/nwp_consumer/internal/inputs/noaa/ncar.py @@ -58,7 +58,7 @@ def __init__(self, model: str, hours: int = 48, param_group: str = "default") -> self.parameters = list(PARAMETER_RENAME_MAP.keys()) self.conform = True case ("basic", "global"): - self.parameters = ["t2m_instant", "tcc",] + self.parameters = ["t2m_instant", "tcc", ] self.conform = True case ("full", "global"): self.parameters = GFS_VARIABLES @@ -195,26 +195,45 @@ def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 # * Each chunk is a single time step # Does not use teh "variable" dimension, as this makes a 86GiB dataset for a single timestamp # Keeping variables separate keeps the dataset small enough to fit in memory - ds = ( - ds.rename({"time": "init_time"}) - .expand_dims("init_time") - .expand_dims("step") - .transpose("init_time", "step", ...) - .sortby("step") - .chunk( - { - "init_time": 1, - "step": -1, - }, + if self.conform: + ds = ( + ds.rename({"time": "init_time"}) + .expand_dims("init_time") + .expand_dims("step") + .to_array(dim="variable", name=f"ICON_{self.model}".upper()) + .to_dataset() + .transpose("variable", "init_time", "step", ...) + .sortby("step") + .sortby("variable") + .chunk( + { + "init_time": 1, + "step": -1, + "variable": -1, + }, + ) + ) + else: + ds = ( + ds.rename({"time": "init_time"}) + .expand_dims("init_time") + .expand_dims("step") + .transpose("init_time", "step", ...) + .sortby("step") + .chunk( + { + "init_time": 1, + "step": -1, + }, + ) ) - ) return ds def downloadToTemp( # noqa: D102 - self, - *, - fi: internal.FileInfoModel, + self, + *, + fi: internal.FileInfoModel, ) -> tuple[internal.FileInfoModel, pathlib.Path]: log.debug(event="requesting download of file", file=fi.filename(), path=fi.filepath()) try: @@ -254,9 +273,9 @@ def downloadToTemp( # noqa: D102 def _parseNCARFilename( - name: str, - baseurl: str, - match_main: bool = True, + name: str, + baseurl: str, + match_main: bool = True, ) -> NOAAFileInfo | None: """Parse a string of HTML into an IconFileInfo object, if it contains one. From 7ebb31db45fbca4e1152fa8a646231b42770d31e Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 12:22:15 +0000 Subject: [PATCH 14/22] Ignore error on dropping unknown variable --- src/nwp_consumer/internal/inputs/noaa/aws.py | 2 +- src/nwp_consumer/internal/inputs/noaa/ncar.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/src/nwp_consumer/internal/inputs/noaa/aws.py b/src/nwp_consumer/internal/inputs/noaa/aws.py index c04cc01c..dce5759c 100644 --- a/src/nwp_consumer/internal/inputs/noaa/aws.py +++ b/src/nwp_consumer/internal/inputs/noaa/aws.py @@ -166,7 +166,7 @@ def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 surface = xr.merge(surface) # Drop unknown data variable - surface = surface.drop_vars("unknown_surface_instant") + surface = surface.drop_vars("unknown_surface_instant", errors="ignore") heightAboveGround = xr.merge(heightAboveGround) isobaricInhPa = xr.merge(isobaricInhPa) diff --git a/src/nwp_consumer/internal/inputs/noaa/ncar.py b/src/nwp_consumer/internal/inputs/noaa/ncar.py index d74ad1af..ac1ec9a3 100644 --- a/src/nwp_consumer/internal/inputs/noaa/ncar.py +++ b/src/nwp_consumer/internal/inputs/noaa/ncar.py @@ -167,7 +167,7 @@ def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 surface = xr.merge(surface) # Drop unknown data variable - surface = surface.drop_vars("unknown_surface_instant") + surface = surface.drop_vars("unknown_surface_instant", errors="ignore") heightAboveGround = xr.merge(heightAboveGround) isobaricInhPa = xr.merge(isobaricInhPa) From 868a6a31974c533898ddcc2d96ee53eeac91456c Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 12:23:18 +0000 Subject: [PATCH 15/22] Fix string --- src/nwp_consumer/internal/inputs/noaa/aws.py | 2 +- src/nwp_consumer/internal/inputs/noaa/ncar.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/src/nwp_consumer/internal/inputs/noaa/aws.py b/src/nwp_consumer/internal/inputs/noaa/aws.py index dce5759c..245b2cd9 100644 --- a/src/nwp_consumer/internal/inputs/noaa/aws.py +++ b/src/nwp_consumer/internal/inputs/noaa/aws.py @@ -199,7 +199,7 @@ def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 ds.rename({"time": "init_time"}) .expand_dims("init_time") .expand_dims("step") - .to_array(dim="variable", name=f"ICON_{self.model}".upper()) + .to_array(dim="variable", name=f"NOAA_{self.model}".upper()) .to_dataset() .transpose("variable", "init_time", "step", ...) .sortby("step") diff --git a/src/nwp_consumer/internal/inputs/noaa/ncar.py b/src/nwp_consumer/internal/inputs/noaa/ncar.py index ac1ec9a3..1a50b00d 100644 --- a/src/nwp_consumer/internal/inputs/noaa/ncar.py +++ b/src/nwp_consumer/internal/inputs/noaa/ncar.py @@ -200,7 +200,7 @@ def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 ds.rename({"time": "init_time"}) .expand_dims("init_time") .expand_dims("step") - .to_array(dim="variable", name=f"ICON_{self.model}".upper()) + .to_array(dim="variable", name=f"NOAA_{self.model}".upper()) .to_dataset() .transpose("variable", "init_time", "step", ...) .sortby("step") From 85183a02a1ec278b43816d7a3fd89a67b3d4a8c5 Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 14:04:13 +0000 Subject: [PATCH 16/22] Address some comments --- .../internal/inputs/noaa/_consts.py | 4 +++ src/nwp_consumer/internal/inputs/noaa/aws.py | 33 ++++++++++++++----- src/nwp_consumer/internal/inputs/noaa/ncar.py | 16 ++++----- 3 files changed, 36 insertions(+), 17 deletions(-) diff --git a/src/nwp_consumer/internal/inputs/noaa/_consts.py b/src/nwp_consumer/internal/inputs/noaa/_consts.py index 8f526698..7f41e2e1 100644 --- a/src/nwp_consumer/internal/inputs/noaa/_consts.py +++ b/src/nwp_consumer/internal/inputs/noaa/_consts.py @@ -2,3 +2,7 @@ GFS_VARIABLES = ['siconc_surface_instant','slt_surface_instant','cape_surface_instant','t_surface_instant','sp_surface_instant','lsm_surface_instant','sr_surface_instant','vis_surface_instant','prate_surface_instant','acpcp_surface_accum','sde_surface_instant','cin_surface_instant','orog_surface_instant','tp_surface_accum','lhtfl_surface_avg','shtfl_surface_avg','crain_surface_instant','cfrzr_surface_instant','cicep_surface_instant','csnow_surface_instant','cprat_surface_instant','cpofp_surface_instant','pevpr_surface_instant','sdwe_surface_instant','uflx_surface_avg','vflx_surface_avg','gust_surface_instant','fricv_surface_instant','u-gwd_surface_avg','v-gwd_surface_avg','hpbl_surface_instant','dswrf_surface_avg','uswrf_surface_avg','dlwrf_surface_avg','ulwrf_surface_avg','lftx_surface_instant','4lftx_surface_instant','veg_surface_instant','watr_surface_accum','gflux_surface_avg','fco2rec_surface_instant','hindex_surface_instant','wilt_surface_instant','fldcp_surface_instant','al_surface_avg','SUNSD_surface_instant','prate_surface_avg','crain_surface_avg','cfrzr_surface_avg','cicep_surface_avg','csnow_surface_avg','cprat_surface_avg','pres_instant','q_instant','t_instant','u_instant','v_instant','u10_instant','v10_instant','t2m_instant','d2m_instant','tmax_max','tmin_min','sh2_instant','r2_instant','aptmp_instant','u100_instant','v100_instant','refd_instant','t','u','v','q','w','gh','r','absv','o3mr','wz','tcc','clwmr','icmr','rwmr','snmr','grle',] + +MISSING_STEP_0_VARIABLES = ['slt_surface_instant','sr_surface_instant','acpcp_surface_accum','tp_surface_accum','lhtfl_surface_avg','shtfl_surface_avg','cprat_surface_instant','pevpr_surface_instant','uflx_surface_avg','vflx_surface_avg','fricv_surface_instant','u-gwd_surface_avg','v-gwd_surface_avg','dswrf_surface_avg','uswrf_surface_avg','dlwrf_surface_avg','ulwrf_surface_avg','veg_surface_instant','watr_surface_accum','gflux_surface_avg','fco2rec_surface_instant','al_surface_avg','prate_surface_avg','crain_surface_avg','cfrzr_surface_avg','cicep_surface_avg','csnow_surface_avg','cprat_surface_avg','tmax_max','tmin_min','refd_instant','q',] + +EXTRA_STEP_0_VARIABLES = ["landn_surface_instant","5wavh"] diff --git a/src/nwp_consumer/internal/inputs/noaa/aws.py b/src/nwp_consumer/internal/inputs/noaa/aws.py index 245b2cd9..271d07c4 100644 --- a/src/nwp_consumer/internal/inputs/noaa/aws.py +++ b/src/nwp_consumer/internal/inputs/noaa/aws.py @@ -1,4 +1,4 @@ -"""Implements a client to fetch ICON data from DWD.""" +"""Implements a client to fetch NOAA data from AWS.""" import bz2 import datetime as dt import pathlib @@ -13,12 +13,12 @@ from nwp_consumer import internal -from ._consts import GFS_VARIABLES +from ._consts import GFS_VARIABLES, MISSING_STEP_0_VARIABLES, EXTRA_STEP_0_VARIABLES from ._models import NOAAFileInfo log = structlog.getLogger() -# See https://d-nb.info/1081305452/34 for a list of ICON parameters +# See https://d-nb.info/1081305452/34 for a list of NOAA GFS parameters PARAMETER_RENAME_MAP: dict[str, str] = { "t2m_instant": internal.OCFShortName.TemperatureAGL.value, "tcc": internal.OCFShortName.HighCloudCover.value, @@ -34,17 +34,17 @@ class Client(internal.FetcherInterface): - """Implements a client to fetch ICON data from DWD.""" + """Implements a client to fetch NOAA data from AWS.""" - baseurl: str # The base URL for the ICON model + baseurl: str # The base URL for the NOAA model model: str # The model to fetch data for parameters: list[str] # The parameters to fetch conform: bool # Whether to rename parameters to OCF names and clear unwanted coordinates def __init__(self, model: str, hours: int = 48, param_group: str = "default") -> None: - """Create a new Icon Client. + """Create a new NOAA Client. - Exposes a client for ICON data from DWD that conforms to the FetcherInterface. + Exposes a client for NOAA data from AWS that conforms to the FetcherInterface. Args: model: The model to fetch data for. Valid models are "europe" and "global". @@ -172,6 +172,21 @@ def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 ds = xr.merge([surface, heightAboveGround, isobaricInhPa]) + # If step is 0, drop variables that are not in the list of variables that have step 0 + if ds.step.values[0] == 0: + ds = ds.drop_vars( + names=[v for v in ds.data_vars if v not in EXTRA_STEP_0_VARIABLES], + errors="ignore", + ) + # Add variables that are missing from the list of variables that have step 0 + for variable in MISSING_STEP_0_VARIABLES: + if variable not in ds: + ds[variable] = xr.DataArray( + data=[0] * len(ds.latitude), + dims=["latitude", "longitude"], + coords={"latitude": ds.latitude, "longitude": ds.longitude}, + ) + # Only conform the dataset if requested (defaults to True) if self.conform: # Rename the parameters to the OCF names @@ -278,11 +293,11 @@ def _parseAWSFilename( match_main: bool = True, it: dt.datetime | None = None, ) -> NOAAFileInfo | None: - """Parse a string of HTML into an IconFileInfo object, if it contains one. + """Parse a string of HTML into an NOAAFileInfo object, if it contains one. Args: name: The name of the file to parse - baseurl: The base URL for the ICON model + baseurl: The base URL for the AWS NOAA model """ # Only 2 types of file, they contain all variables in it # "https://nomads.ncep.noaa.gov/pub/data/nccf/com/gfs/prod/gfs.20231206/06/atmos/gfs.t06z.pgrb2.0p25.f002" diff --git a/src/nwp_consumer/internal/inputs/noaa/ncar.py b/src/nwp_consumer/internal/inputs/noaa/ncar.py index 1a50b00d..23e47486 100644 --- a/src/nwp_consumer/internal/inputs/noaa/ncar.py +++ b/src/nwp_consumer/internal/inputs/noaa/ncar.py @@ -1,4 +1,4 @@ -"""Implements a client to fetch ICON data from DWD.""" +"""Implements a client to fetch NOAA data from NCAR.""" import bz2 import datetime as dt import pathlib @@ -18,7 +18,7 @@ log = structlog.getLogger() -# See https://d-nb.info/1081305452/34 for a list of ICON parameters +# See https://d-nb.info/1081305452/34 for a list of NOAA parameters PARAMETER_RENAME_MAP: dict[str, str] = { "t2m_instant": internal.OCFShortName.TemperatureAGL.value, "tcc": internal.OCFShortName.HighCloudCover.value, @@ -34,17 +34,17 @@ class Client(internal.FetcherInterface): - """Implements a client to fetch ICON data from DWD.""" + """Implements a client to fetch NOAA data from NCAR.""" - baseurl: str # The base URL for the ICON model + baseurl: str # The base URL for the NOAA model model: str # The model to fetch data for parameters: list[str] # The parameters to fetch conform: bool # Whether to rename parameters to OCF names and clear unwanted coordinates def __init__(self, model: str, hours: int = 48, param_group: str = "default") -> None: - """Create a new Icon Client. + """Create a new NOAA Client. - Exposes a client for ICON data from DWD that conforms to the FetcherInterface. + Exposes a client for NOAA data from NCAR that conforms to the FetcherInterface. Args: model: The model to fetch data for. Valid models are "europe" and "global". @@ -277,11 +277,11 @@ def _parseNCARFilename( baseurl: str, match_main: bool = True, ) -> NOAAFileInfo | None: - """Parse a string of HTML into an IconFileInfo object, if it contains one. + """Parse a string of HTML into an NOAAFileInfo object, if it contains one. Args: name: The name of the file to parse - baseurl: The base URL for the ICON model + baseurl: The base URL for the NOAA NCAR model """ # Define the regex patterns to match the different types of file; X is step, L is level mainRegex = r"gfs.0p25.(\d{10}).f(\d{3}).grib2" From a173890b48306e723d4c7d68beea702ea6aa9513 Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 14:05:08 +0000 Subject: [PATCH 17/22] Update integration test --- src/test_integration/test_inputs_integration.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/src/test_integration/test_inputs_integration.py b/src/test_integration/test_inputs_integration.py index 4a036ab5..7da05674 100644 --- a/src/test_integration/test_inputs_integration.py +++ b/src/test_integration/test_inputs_integration.py @@ -119,6 +119,7 @@ def test_downloadsRawGribFileFromAWSNOAA(self) -> None: noaaClient = inputs.noaa.aws.Client( model="global", + param_group="basic", ) fileInfo = NOAAFileInfo( it=noaaInitTime, @@ -136,6 +137,7 @@ def test_downloadsRawGribFileFromNCARNOAA(self) -> None: noaaClient = inputs.noaa.ncar.Client( model="global", + param_group="basic", ) fileInfo = NOAAFileInfo( it=noaaInitTime, From d91094e689b575355eb10c6f43afd15f1d1eee21 Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 14:06:12 +0000 Subject: [PATCH 18/22] Address more comments --- src/nwp_consumer/internal/inputs/noaa/_consts.py | 2 +- src/nwp_consumer/internal/inputs/noaa/_models.py | 4 ---- 2 files changed, 1 insertion(+), 5 deletions(-) diff --git a/src/nwp_consumer/internal/inputs/noaa/_consts.py b/src/nwp_consumer/internal/inputs/noaa/_consts.py index 7f41e2e1..f03bfdf2 100644 --- a/src/nwp_consumer/internal/inputs/noaa/_consts.py +++ b/src/nwp_consumer/internal/inputs/noaa/_consts.py @@ -1,4 +1,4 @@ -"""Defines all parameters available from icon.""" +"""Defines all parameters available from NOAA.""" GFS_VARIABLES = ['siconc_surface_instant','slt_surface_instant','cape_surface_instant','t_surface_instant','sp_surface_instant','lsm_surface_instant','sr_surface_instant','vis_surface_instant','prate_surface_instant','acpcp_surface_accum','sde_surface_instant','cin_surface_instant','orog_surface_instant','tp_surface_accum','lhtfl_surface_avg','shtfl_surface_avg','crain_surface_instant','cfrzr_surface_instant','cicep_surface_instant','csnow_surface_instant','cprat_surface_instant','cpofp_surface_instant','pevpr_surface_instant','sdwe_surface_instant','uflx_surface_avg','vflx_surface_avg','gust_surface_instant','fricv_surface_instant','u-gwd_surface_avg','v-gwd_surface_avg','hpbl_surface_instant','dswrf_surface_avg','uswrf_surface_avg','dlwrf_surface_avg','ulwrf_surface_avg','lftx_surface_instant','4lftx_surface_instant','veg_surface_instant','watr_surface_accum','gflux_surface_avg','fco2rec_surface_instant','hindex_surface_instant','wilt_surface_instant','fldcp_surface_instant','al_surface_avg','SUNSD_surface_instant','prate_surface_avg','crain_surface_avg','cfrzr_surface_avg','cicep_surface_avg','csnow_surface_avg','cprat_surface_avg','pres_instant','q_instant','t_instant','u_instant','v_instant','u10_instant','v10_instant','t2m_instant','d2m_instant','tmax_max','tmin_min','sh2_instant','r2_instant','aptmp_instant','u100_instant','v100_instant','refd_instant','t','u','v','q','w','gh','r','absv','o3mr','wz','tcc','clwmr','icmr','rwmr','snmr','grle',] diff --git a/src/nwp_consumer/internal/inputs/noaa/_models.py b/src/nwp_consumer/internal/inputs/noaa/_models.py index b1545f41..997aa75f 100644 --- a/src/nwp_consumer/internal/inputs/noaa/_models.py +++ b/src/nwp_consumer/internal/inputs/noaa/_models.py @@ -8,8 +8,6 @@ def __init__( self, it: dt.datetime, filename: str, currentURL: str, step: int, ) -> "NOAAFileInfo": self._it = it - # The name of the file when stored by the storer. We decompress from bz2 - # at download time, so we don't want that extension on the filename. self._filename = filename self._url = currentURL self.step = step @@ -18,8 +16,6 @@ def filename(self) -> str: return self._filename def filepath(self) -> str: - # The filename in the fully-qualified filepath still has the .bz2 extension - # so add it back in return self._url + "/" + self._filename def it(self) -> dt.datetime: From cc69378ce2b38ac42baf1c2ef655f25ddf22c4cd Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 14:26:44 +0000 Subject: [PATCH 19/22] Add test files and update tests --- .../noaa/gfs.0p25.2023121906.f001.grib2 | Bin 0 -> 2749970 bytes .../inputs/noaa/gfs.t06z.pgrb2.0p25.f001 | Bin 0 -> 2749970 bytes .../internal/inputs/noaa/test_aws.py | 2 +- .../internal/inputs/noaa/test_ncar.py | 2 +- 4 files changed, 2 insertions(+), 2 deletions(-) create mode 100644 src/nwp_consumer/internal/inputs/noaa/gfs.0p25.2023121906.f001.grib2 create mode 100644 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a/src/nwp_consumer/internal/inputs/noaa/test_aws.py +++ b/src/nwp_consumer/internal/inputs/noaa/test_aws.py @@ -15,7 +15,7 @@ class TestClient(unittest.TestCase): def test_mapTemp(self) -> None: # Test with global file testFilePath: pathlib.Path = ( - pathlib.Path(__file__).parent / "gfs.t06z.pgrb2.0p25.f005" + pathlib.Path(__file__).parent / "gfs.t06z.pgrb2.0p25.f001" ) out = testClient.mapTemp(p=testFilePath) # Check latitude and longitude are injected diff --git a/src/nwp_consumer/internal/inputs/noaa/test_ncar.py b/src/nwp_consumer/internal/inputs/noaa/test_ncar.py index 949b38a4..0206e045 100644 --- a/src/nwp_consumer/internal/inputs/noaa/test_ncar.py +++ b/src/nwp_consumer/internal/inputs/noaa/test_ncar.py @@ -15,7 +15,7 @@ class TestClient(unittest.TestCase): def test_mapTemp(self) -> None: # Test with global file testFilePath: pathlib.Path = ( - pathlib.Path(__file__).parent / "gfs.0p25.2016010300.f003.grib2" + pathlib.Path(__file__).parent / "gfs.0p25.2023121906.f001.grib2" ) out = testClient.mapTemp(p=testFilePath) # Check latitude and longitude are injected From e2ef2a3c1c74fbb6a66094e93a9d7528f313517a Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 14:28:32 +0000 Subject: [PATCH 20/22] Address comments --- src/nwp_consumer/internal/inputs/noaa/aws.py | 4 ++-- src/nwp_consumer/internal/inputs/noaa/ncar.py | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/src/nwp_consumer/internal/inputs/noaa/aws.py b/src/nwp_consumer/internal/inputs/noaa/aws.py index 271d07c4..c508522c 100644 --- a/src/nwp_consumer/internal/inputs/noaa/aws.py +++ b/src/nwp_consumer/internal/inputs/noaa/aws.py @@ -18,7 +18,7 @@ log = structlog.getLogger() -# See https://d-nb.info/1081305452/34 for a list of NOAA GFS parameters +# See https://www.nco.ncep.noaa.gov/pmb/products/gfs/gfs.t00z.pgrb2.0p25.f003.shtml for a list of NOAA GFS parameters PARAMETER_RENAME_MAP: dict[str, str] = { "t2m_instant": internal.OCFShortName.TemperatureAGL.value, "tcc": internal.OCFShortName.HighCloudCover.value, @@ -47,7 +47,7 @@ def __init__(self, model: str, hours: int = 48, param_group: str = "default") -> Exposes a client for NOAA data from AWS that conforms to the FetcherInterface. Args: - model: The model to fetch data for. Valid models are "europe" and "global". + model: The model to fetch data for. Valid models is "global". param_group: The set of parameters to fetch. Valid groups are "default", "full", and "basic". """ diff --git a/src/nwp_consumer/internal/inputs/noaa/ncar.py b/src/nwp_consumer/internal/inputs/noaa/ncar.py index 23e47486..b78e972c 100644 --- a/src/nwp_consumer/internal/inputs/noaa/ncar.py +++ b/src/nwp_consumer/internal/inputs/noaa/ncar.py @@ -18,7 +18,7 @@ log = structlog.getLogger() -# See https://d-nb.info/1081305452/34 for a list of NOAA parameters +# See https://www.nco.ncep.noaa.gov/pmb/products/gfs/gfs.t00z.pgrb2.0p25.f003.shtml for a list of NOAA parameters PARAMETER_RENAME_MAP: dict[str, str] = { "t2m_instant": internal.OCFShortName.TemperatureAGL.value, "tcc": internal.OCFShortName.HighCloudCover.value, @@ -47,7 +47,7 @@ def __init__(self, model: str, hours: int = 48, param_group: str = "default") -> Exposes a client for NOAA data from NCAR that conforms to the FetcherInterface. Args: - model: The model to fetch data for. Valid models are "europe" and "global". + model: The model to fetch data for. Valid models are "global". param_group: The set of parameters to fetch. Valid groups are "default", "full", and "basic". """ From a3be01c51e486c6dc1124aff56bd96a8878ff9b1 Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 14:32:02 +0000 Subject: [PATCH 21/22] Remove half-baked change --- src/nwp_consumer/internal/inputs/noaa/aws.py | 17 +---------------- 1 file changed, 1 insertion(+), 16 deletions(-) diff --git a/src/nwp_consumer/internal/inputs/noaa/aws.py b/src/nwp_consumer/internal/inputs/noaa/aws.py index c508522c..0a965e04 100644 --- a/src/nwp_consumer/internal/inputs/noaa/aws.py +++ b/src/nwp_consumer/internal/inputs/noaa/aws.py @@ -13,7 +13,7 @@ from nwp_consumer import internal -from ._consts import GFS_VARIABLES, MISSING_STEP_0_VARIABLES, EXTRA_STEP_0_VARIABLES +from ._consts import GFS_VARIABLES from ._models import NOAAFileInfo log = structlog.getLogger() @@ -172,21 +172,6 @@ def mapTemp(self, *, p: pathlib.Path) -> xr.Dataset: # noqa: D102 ds = xr.merge([surface, heightAboveGround, isobaricInhPa]) - # If step is 0, drop variables that are not in the list of variables that have step 0 - if ds.step.values[0] == 0: - ds = ds.drop_vars( - names=[v for v in ds.data_vars if v not in EXTRA_STEP_0_VARIABLES], - errors="ignore", - ) - # Add variables that are missing from the list of variables that have step 0 - for variable in MISSING_STEP_0_VARIABLES: - if variable not in ds: - ds[variable] = xr.DataArray( - data=[0] * len(ds.latitude), - dims=["latitude", "longitude"], - coords={"latitude": ds.latitude, "longitude": ds.longitude}, - ) - # Only conform the dataset if requested (defaults to True) if self.conform: # Rename the parameters to the OCF names From f15d2fd271a7143a1311bd28d24c4cf2355829df Mon Sep 17 00:00:00 2001 From: Jacob Bieker Date: Tue, 19 Dec 2023 14:59:36 +0000 Subject: [PATCH 22/22] Add more checks of assert --- src/nwp_consumer/internal/inputs/noaa/test_aws.py | 4 ++++ src/nwp_consumer/internal/inputs/noaa/test_ncar.py | 4 ++++ 2 files changed, 8 insertions(+) diff --git a/src/nwp_consumer/internal/inputs/noaa/test_aws.py b/src/nwp_consumer/internal/inputs/noaa/test_aws.py index ae76c0ed..85b03c14 100644 --- a/src/nwp_consumer/internal/inputs/noaa/test_aws.py +++ b/src/nwp_consumer/internal/inputs/noaa/test_aws.py @@ -26,6 +26,10 @@ def test_mapTemp(self) -> None: out[next(iter(out.data_vars.keys()))].dims, ("init_time", "step", "latitude", "longitude"), ) + self.assertEqual(len(out["latitude"].values), 721) + self.assertEqual(len(out["longitude"].values), 1440) + self.assertEqual(len(out["init_time"].values), 1) + self.assertEqual(len(out["step"].values), 1) class TestParseIconFilename(unittest.TestCase): diff --git a/src/nwp_consumer/internal/inputs/noaa/test_ncar.py b/src/nwp_consumer/internal/inputs/noaa/test_ncar.py index 0206e045..8c17ec07 100644 --- a/src/nwp_consumer/internal/inputs/noaa/test_ncar.py +++ b/src/nwp_consumer/internal/inputs/noaa/test_ncar.py @@ -26,6 +26,10 @@ def test_mapTemp(self) -> None: out[next(iter(out.data_vars.keys()))].dims, ("init_time", "step", "latitude", "longitude"), ) + self.assertEqual(len(out["latitude"].values), 721) + self.assertEqual(len(out["longitude"].values), 1440) + self.assertEqual(len(out["init_time"].values), 1) + self.assertEqual(len(out["step"].values), 1) class TestParseIconFilename(unittest.TestCase):

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