From 1fa3edf796f8c24f7b514a2f0cdf2813eb6a39c5 Mon Sep 17 00:00:00 2001
From: plgmlesniak <ymlesni@cyf-kr.edu.pl>
Date: Mon, 13 Jan 2025 11:13:30 +0100
Subject: [PATCH] ISL-4832 Added sort_by_time.py

---
 python/catalog/sort_by_time.py | 50 ++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 50 insertions(+)
 create mode 100644 python/catalog/sort_by_time.py

diff --git a/python/catalog/sort_by_time.py b/python/catalog/sort_by_time.py
new file mode 100644
index 0000000..70e51f0
--- /dev/null
+++ b/python/catalog/sort_by_time.py
@@ -0,0 +1,50 @@
+# -----------------
+# 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 the catalog, where each row
+                              contains fields like 'Time', 'ID', and others.
+
+    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
\ No newline at end of file