feature/ISL-4832-przepisac-catalogeditor-do-pythona #2

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ymlesni wants to merge 8 commits from ymlesni/shared-snippets:feature/ISL-4832-przepisac-catalogeditor-do-pythona into main
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# -----------------
# Copyright © 2024 ACK Cyfronet AGH, Poland.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# This work was partially funded by DT-GEO Project.
# -----------------
def find_catalog_column(catalog, field_name):
"""
Finds the index of a column in the catalog based on its field name.
Parameters:
catalog (np.ndarray): A structured NumPy array representing a catalog in EPISODES Platform format:
https://docs.cyfronet.pl/display/ISDOC/Catalogs
field_name (str): The field name of the entry to search for.
Returns:
int: The index of the entry matching the given field name.
Raises:
ValueError: If the specified field name is not found in the catalog.
"""
for idx, col in enumerate(catalog):
if col['field'] == field_name:
return idx
raise ValueError(f'No {field_name} field found in the catalog.')

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# -----------------
# Copyright © 2024 ACK Cyfronet AGH, Poland.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# This work was partially funded by DT-GEO Project.
# -----------------
import numpy as np
from find_catalog_column import find_catalog_column
def sort_by_time(catalog):
"""
Sorts the given catalog based on the 'Time' column.
Parameters:
catalog (np.ndarray): A structured NumPy array representing a seismic catalog in EPISODES Platform format:
https://docs.cyfronet.pl/display/ISDOC/Seismic+catalog
Returns:
np.ndarray: The sorted catalog, where rows in 'val' fields are ordered by ascending 'Time' values.
Raises:
ValueError: If the 'Time' column is not found in the catalog.
"""
time_col_index = find_catalog_column(catalog, 'Time')
time_values = catalog[time_col_index]['val'].flatten()
sorted_indexes = np.argsort(time_values)
sorted_catalog = catalog.copy()
for field in sorted_catalog:
field['val'] = field['val'][sorted_indexes]
return sorted_catalog

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# -----------------
# Copyright © 2024 ACK Cyfronet AGH, Poland.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# This work was partially funded by DT-GEO Project.
# -----------------
import numpy as np
def sort_by_time(catalog):
"""
Sorts the given catalog based on the 'Time' column.
Parameters:
catalog (np.ndarray): A structured NumPy array representing a seismic catalog in EPISODES Platform format:
https://docs.cyfronet.pl/display/ISDOC/Seismic+catalog
Returns:
np.ndarray: The sorted catalog, where rows in 'val' fields are ordered by ascending 'Time' values.
Raises:
ValueError: If the 'Time' column is not found in the catalog.
"""
time_col_index = None
for idx, col in enumerate(catalog):
if col['field'] == "Time":
time_col_index = idx
if time_col_index is None:
raise ValueError("No 'Time' field found in the catalog.")
time_values = catalog[time_col_index]['val'].flatten()
sorted_indexes = np.argsort(time_values)
sorted_catalog = catalog.copy()
for field in sorted_catalog:
field['val'] = field['val'][sorted_indexes]
return sorted_catalog