Upload (daily) CI results to Hub (#31168)

* build

* build

* build

* build

* fix

* fix

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

utils/notification_service.py

@@ -14,6 +14,7 @@
 
 import ast
 import collections
+import datetime
 import functools
 import json
 import operator
@@ -26,9 +27,11 @@ from typing import Dict, List, Optional, Union
 import requests
 from get_ci_error_statistics import get_jobs
 from get_previous_daily_ci import get_last_daily_ci_reports
+from huggingface_hub import HfApi
 from slack_sdk import WebClient
 
 
+api = HfApi()
 client = WebClient(token=os.environ["CI_SLACK_BOT_TOKEN"])
 
 NON_MODEL_TEST_MODULES = [
@@ -1154,12 +1157,25 @@ if __name__ == "__main__":
     if not os.path.isdir(os.path.join(os.getcwd(), f"ci_results_{job_name}")):
         os.makedirs(os.path.join(os.getcwd(), f"ci_results_{job_name}"))
 
+    target_workflow = "huggingface/transformers/.github/workflows/self-scheduled-caller.yml@refs/heads/main"
+    is_scheduled_ci_run = os.environ.get("CI_WORKFLOW_REF") == target_workflow
+
     # Only the model testing job is concerned: this condition is to avoid other jobs to upload the empty list as
     # results.
     if job_name == "run_models_gpu":
         with open(f"ci_results_{job_name}/model_results.json", "w", encoding="UTF-8") as fp:
             json.dump(model_results, fp, indent=4, ensure_ascii=False)
 
+        # upload results to Hub dataset (only for the scheduled daily CI run on `main`)
+        if is_scheduled_ci_run:
+            api.upload_file(
+                path_or_fileobj=f"ci_results_{job_name}/model_results.json",
+                path_in_repo=f"{datetime.datetime.today().strftime('%Y-%m-%d')}/ci_results_{job_name}/model_results.json",
+                repo_id="hf-internal-testing/transformers_daily_ci",
+                repo_type="dataset",
+                token=os.environ.get("TRANSFORMERS_CI_RESULTS_UPLOAD_TOKEN", None),
+            )
+
     # Must have the same keys as in `additional_results`.
     # The values are used as the file names where to save the corresponding CI job results.
     test_to_result_name = {
@@ -1172,10 +1188,19 @@ if __name__ == "__main__":
         with open(f"ci_results_{job_name}/{test_to_result_name[job]}_results.json", "w", encoding="UTF-8") as fp:
             json.dump(job_result, fp, indent=4, ensure_ascii=False)
 
+        # upload results to Hub dataset (only for the scheduled daily CI run on `main`)
+        if is_scheduled_ci_run:
+            api.upload_file(
+                path_or_fileobj=f"ci_results_{job_name}/{test_to_result_name[job]}_results.json",
+                path_in_repo=f"{datetime.datetime.today().strftime('%Y-%m-%d')}/ci_results_{job_name}/{test_to_result_name[job]}_results.json",
+                repo_id="hf-internal-testing/transformers_daily_ci",
+                repo_type="dataset",
+                token=os.environ.get("TRANSFORMERS_CI_RESULTS_UPLOAD_TOKEN", None),
+            )
+
     prev_ci_artifacts = None
-    if job_name == "run_models_gpu":
-        target_workflow = "huggingface/transformers/.github/workflows/self-scheduled-caller.yml@refs/heads/main"
-        if os.environ.get("CI_WORKFLOW_REF") == target_workflow:
+    if is_scheduled_ci_run:
+        if job_name == "run_models_gpu":
             # Get the last previously completed CI's failure tables
             artifact_names = [f"ci_results_{job_name}"]
             output_dir = os.path.join(os.getcwd(), "previous_reports")

utils/notification_service_quantization.py

@@ -13,6 +13,7 @@
 # limitations under the License.
 
 import ast
+import datetime
 import json
 import os
 import sys
@@ -20,6 +21,7 @@ import time
 from typing import Dict
 
 from get_ci_error_statistics import get_jobs
+from huggingface_hub import HfApi
 from notification_service import (
     Message,
     handle_stacktraces,
@@ -31,6 +33,7 @@ from notification_service import (
 from slack_sdk import WebClient
 
 
+api = HfApi()
 client = WebClient(token=os.environ["CI_SLACK_BOT_TOKEN"])
 
 
@@ -249,6 +252,19 @@ if __name__ == "__main__":
     with open(f"ci_results_{job_name}/quantization_results.json", "w", encoding="UTF-8") as fp:
         json.dump(quantization_results, fp, indent=4, ensure_ascii=False)
 
+    target_workflow = "huggingface/transformers/.github/workflows/self-scheduled-caller.yml@refs/heads/main"
+    is_scheduled_ci_run = os.environ.get("CI_WORKFLOW_REF") == target_workflow
+
+    # upload results to Hub dataset (only for the scheduled daily CI run on `main`)
+    if is_scheduled_ci_run:
+        api.upload_file(
+            path_or_fileobj=f"ci_results_{job_name}/quantization_results.json",
+            path_in_repo=f"{datetime.datetime.today().strftime('%Y-%m-%d')}/ci_results_{job_name}/quantization_results.json",
+            repo_id="hf-internal-testing/transformers_daily_ci",
+            repo_type="dataset",
+            token=os.environ.get("TRANSFORMERS_CI_RESULTS_UPLOAD_TOKEN", None),
+        )
+
     message = QuantizationMessage(
         title,
         results=quantization_results,