chore: import upstream snapshot with attribution

.github/scripts/mr_generate_summary.py

@@ -0,0 +1,55 @@
+# Collect the results of the various model test runs which are done as part of
+# the model regression CI pipeline and dump them as a single file artifact.
+# This artifact will the then be published at the end of the tests.
+from collections import defaultdict
+import json
+import os
+from pathlib import Path
+from typing import Dict, List
+
+
+def combine_result(
+    result1: Dict[str, dict], result2: Dict[str, Dict[str, Dict]]
+) -> Dict[str, Dict[str, List]]:
+    """Combines 2 result dicts to accumulated dict of the same format.
+
+    Args:
+        result1: dict of key: dataset, value: (dict of key: config, value: list of res)
+                 Example: {
+                              "Carbon Bot": {
+                                  "Sparse + DIET(bow) + ResponseSelector(bow)": [{
+                                      "Entity Prediction": {
+                                          "macro avg": {
+                                              "f1-score": 0.88,
+                                          }
+                                      },
+                                      "test_run_time": "47s",
+                                  }]
+                              }
+                          }
+        result2: dict of key: dataset, value: (dict of key: config, value: list of res)
+
+    Returns:
+        dict of key: dataset, and value: (dict of key: config value: list of results)
+    """
+    combined_dict = defaultdict(lambda: defaultdict(list))
+    for new_dict in [result1, result2]:
+        for dataset, results_for_dataset in new_dict.items():
+            for config, res in results_for_dataset.items():
+                for res_dict in res:
+                    combined_dict[dataset][config].append(res_dict)
+    return combined_dict
+
+
+if __name__ == "__main__":
+    data = {}
+    reports_dir = Path(os.environ["REPORTS_DIR"])
+    reports_paths = list(reports_dir.glob("*/report.json"))
+
+    for report_path in reports_paths:
+        report_dict = json.load(open(report_path))
+        data = combine_result(data, report_dict)
+
+    summary_file = os.environ["SUMMARY_FILE"]
+    with open(summary_file, "w") as f:
+        json.dump(data, f, sort_keys=True, indent=2)