def __init__(self, hamtide_dataset_directory: PathLike = None):
if hamtide_dataset_directory is None:
hamtide_dataset_directory = self.OPENDAP_URL
else:
try:
if Path(hamtide_dataset_directory).exists():
hamtide_dataset_directory = Path(hamtide_dataset_directory)
if len(list(hamtide_dataset_directory.glob('*.nc'))) == 0:
raise FileNotFoundError(
f'no NetCDF files found at '
f'"{hamtide_dataset_directory}"')
except OSError:
raise ValueError('given resource must be a local path')
super().__init__(hamtide_dataset_directory)
datasets = {'elevation': {}, 'velocity': {}}
for variable in datasets.keys():
datasets[variable].update({
constituent.lower(): {
'path': None,
'dataset': None
}
for constituent in self.constituents
})
self.datasets = datasets
def get_latest_json_file_name(prefix: str = "",
path: PathLike = JSON_DATA_PATH) -> PathLike:
"""Return the latest json file in path with prefix."""
path = Path(path)
try:
return max(path.glob(f"*{prefix}*.json"), key=getctime)
except ValueError:
raise NoMatchingDataPathError(path=path, prefix=prefix)
def is_exist_gbk(acc: str, search_root: PathLike) -> bool:
"""Check gbk file exists already.
Args:
acc (str): accession number.
search_root (PathLike): the root dir tu search.
Returns:
bool:
"""
search_root = Path(search_root).resolve()
acc = acc.split(".")[0]
return bool(list(search_root.glob(f"**/{acc}.gbk")))
def __init__(self, hamtide_dataset_directory: PathLike = None):
if hamtide_dataset_directory is not None:
hamtide_dataset_directory = Path(hamtide_dataset_directory)
if len(list(hamtide_dataset_directory.glob('*.nc'))) == 0:
raise FileNotFoundError(
f'no NetCDF files found at "{hamtide_dataset_directory}"')
else:
hamtide_dataset_directory = self.OPENDAP_URL
super().__init__(hamtide_dataset_directory)
datasets = {'elevation': {}, 'velocity': {}}
for variable in datasets.keys():
datasets[variable].update({
constituent.lower(): {
'path': None,
'dataset': None
}
for constituent in self.constituents
})
self.datasets = datasets
