Automate check for new pipelines and metadata update (#19029)

* Automate check for new pipelines and metadata update

* Add Datasets to quality extra

.circleci/config.yml

@@ -982,6 +982,7 @@ jobs:
             - run: python utils/check_config_docstrings.py
             - run: make deps_table_check_updated
             - run: python utils/tests_fetcher.py --sanity_check
+            - run: python utils/update_metadata.py --check-only
 
     run_tests_layoutlmv2_and_v3:
         working_directory: ~/transformers

Makefile

@@ -41,6 +41,7 @@ repo-consistency:
 	python utils/check_inits.py
 	python utils/check_config_docstrings.py
 	python utils/tests_fetcher.py --sanity_check
+	python utils/update_metadata.py --check-only
 
 # this target runs checks on all files
 

setup.py

@@ -307,7 +307,7 @@ extras["testing"] = (
 
 extras["deepspeed-testing"] = extras["deepspeed"] + extras["testing"] + extras["optuna"]
 
-extras["quality"] = deps_list("black", "isort", "flake8", "GitPython", "hf-doc-builder")
+extras["quality"] = deps_list("black", "datasets", "isort", "flake8", "GitPython", "hf-doc-builder")
 
 extras["all"] = (
     extras["tf"]

utils/update_metadata.py

@@ -85,6 +85,12 @@ PIPELINE_TAGS_AND_AUTO_MODELS = [
         "MODEL_FOR_DOCUMENT_QUESTION_ANSWERING_MAPPING_NAMES",
         "AutoModelForDocumentQuestionAnswering",
     ),
+    (
+        "visual-question-answering",
+        "MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING_NAMES",
+        "AutoModelForVisualQuestionAnswering",
+    ),
+    ("image-to-text", "MODEL_FOR_FOR_VISION_2_SEQ_MAPPING_NAMES", "AutoModelForVision2Seq"),
 ]
 
 
@@ -236,10 +242,35 @@ def update_metadata(token, commit_sha):
             repo.push_to_hub(commit_message)
 
 
+def check_pipeline_tags():
+    in_table = {tag: cls for tag, _, cls in PIPELINE_TAGS_AND_AUTO_MODELS}
+    pipeline_tasks = transformers_module.pipelines.SUPPORTED_TASKS
+    missing = []
+    for key in pipeline_tasks:
+        if key not in in_table:
+            model = pipeline_tasks[key]["pt"]
+            if isinstance(model, (list, tuple)):
+                model = model[0]
+            model = model.__name__
+            if model not in in_table.values():
+                missing.append(key)
+
+    if len(missing) > 0:
+        msg = ", ".join(missing)
+        raise ValueError(
+            "The following pipeline tags are not present in the `PIPELINE_TAGS_AND_AUTO_MODELS` constant inside "
+            f"`utils/update_metadata.py`: {msg}. Please add them!"
+        )
+
+
 if __name__ == "__main__":
     parser = argparse.ArgumentParser()
     parser.add_argument("--token", type=str, help="The token to use to push to the transformers-metadata dataset.")
     parser.add_argument("--commit_sha", type=str, help="The sha of the commit going with this update.")
+    parser.add_argument("--check-only", action="store_true", help="Activate to just check all pipelines are present.")
     args = parser.parse_args()
 
-    update_metadata(args.token, args.commit_sha)
+    if args.check_only:
+        check_pipeline_tags()
+    else:
+        update_metadata(args.token, args.commit_sha)