def main():

    test_path = utils.get_test_path()
    source_path = f"{test_path}/source_data/"
    _load_test_data(source_path)
    log_file = f"{source_path}Mace_Head.log"

    raw_files = {
        'radar': f"{source_path}raw_mira_radar.mmclx",
        'lidar': f"{source_path}raw_chm15k_lidar.nc",
    }
    """"
    We know these fail at the moment:
    for name, file in raw_files.items():
        check_metadata(file, log_file)
    """

    calibrated_files = {
        'radar': f"{source_path}radar.nc",
        'lidar': f"{source_path}lidar.nc",
    }
    site_meta = {'name': 'Mace Head', 'altitude': 13.0}
    uuid_radar = mira2nc(raw_files['radar'],
                         calibrated_files['radar'],
                         site_meta,
                         uuid='kissa')
    assert uuid_radar == 'kissa'
    uuid_lidar = ceilo2nc(raw_files['lidar'], calibrated_files['lidar'],
                          site_meta)
    for name, file in calibrated_files.items():
        check_metadata(file, log_file)
        check_data_quality(file, log_file)

    api.check_attributes(calibrated_files['radar'], site_meta)
    api.check_is_valid_uuid(uuid_lidar)

    input_files = {
        'radar': calibrated_files['radar'],
        'lidar': calibrated_files['lidar'],
        'mwr': f"{source_path}hatpro_mwr.nc",
        'model': f"{source_path}ecmwf_model.nc",
    }
    categorize_file = f"{source_path}categorize.nc"
    uuid_categorize = generate_categorize(input_files, categorize_file)
    check_metadata(categorize_file, log_file)
    check_data_quality(categorize_file, log_file)
    api.check_is_valid_uuid(uuid_categorize)
    api.check_source_file_uuids(categorize_file, (uuid_lidar, uuid_radar))

    product_file_types = ['classification', 'iwc', 'lwc', 'drizzle']
    for file in product_file_types:
        product_file, uuid_product = _process_product_file(
            file, source_path, categorize_file)
        check_metadata(product_file, log_file)
        check_data_quality(product_file, log_file)
        api.check_is_valid_uuid(uuid_product)
        api.check_attributes(product_file, site_meta)
        api.check_source_file_uuids(product_file, (uuid_categorize, ))
Beispiel #2
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def check_metadata(file, log_file=None):
    """Runs metadata checks for the given file.

    Args:
        file (str): Name of the file to be tested.
        log_file (str, optional): Name of the log file where warning
            messages are stored.

    """
    test_path = utils.get_test_path()
    script = f"{test_path}/meta_qc.py"
    subprocess.call([script, file, _validate_log_file(log_file)])
Beispiel #3
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def check_data_quality(file, log_file=None):
    """Runs data quality checks for the given file.

    Args:
        file (str): Name of the file to be tested.
        log_file (str, optional): Name of the log file where warning
            messages are stored.

    """
    test_path = utils.get_test_path()
    script = f"{test_path}/data_qc.py"
    print(f"Checking data quality of {file}")
    subprocess.call([script, file, _validate_log_file(log_file)])
Beispiel #4
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def main():

    run_unit_tests()

    test_path = utils.get_test_path()
    source_path = f"{test_path}/source_data/"
    _load_test_data(source_path)
    prefix = '20190517_mace-head_'
    log_file = f"{source_path}Mace_Head.log"

    raw_files = {
        'radar': f"{source_path}{prefix}mira_raw.nc",
        'lidar': f"{source_path}{prefix}chm15k_raw.nc",
    }
    """"
    We know these fail at the moment:
    for name, file in raw_files.items():
        check_metadata(file, log_file)
    """

    calibrated_files = {
        'radar': f"{source_path}radar.nc",
        'lidar': f"{source_path}lidar.nc",
    }
    site_meta = {'name': 'Mace Head', 'altitude': 13}
    if PROCESS:
        mira2nc(raw_files['radar'], calibrated_files['radar'], site_meta)
        ceilo2nc(raw_files['lidar'], calibrated_files['lidar'], site_meta)
    for name, file in calibrated_files.items():
        check_metadata(file, log_file)
        check_data_quality(file, log_file)

    input_files = {
        'radar': calibrated_files['radar'],
        'lidar': calibrated_files['lidar'],
        'mwr': f"{source_path}{prefix}hatpro.nc",
        'model': f"{source_path}{prefix}ecmwf.nc",
    }
    categorize_file = f"{source_path}categorize.nc"
    if PROCESS:
        generate_categorize(input_files, categorize_file)
    check_metadata(categorize_file, log_file)
    check_data_quality(categorize_file, log_file)

    product_file_types = ['iwc', 'lwc', 'drizzle', 'classification']
    for file in product_file_types:
        product_file = _process_product_file(file, source_path, categorize_file)
        check_metadata(product_file, log_file)
        check_data_quality(product_file, log_file)
Beispiel #5
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def check_metadata(file, log_file=None):
    """Runs metadata checks for the given file.

    Args:
        file (str): Name of the file to be tested.
        log_file (str, optional): Name of the log file where warning
            messages are stored.

    """
    test_path = utils.get_test_path()
    script = f"{test_path}/meta_qc.py"
    print(f"Checking metadata of {file}")
    try:
        subprocess.check_call([script, file, _validate_log_file(log_file)])
    except subprocess.CalledProcessError:
        raise