Add support for AsimovBot PR parser

.github/PULL_REQUEST_TEMPLATE.md

@@ -7,13 +7,13 @@
 
 ### Description
 
-### Tests run
-
-**NOTE: By default, docker builds are disabled. In order to build your container, please update dlc_developer_config.toml and specify the framework to build in "build_frameworks"**
-- [ ] I have run builds/tests on commit <INSERT COMMIT ID> for my changes.
+### Tests Run
+By default, docker image builds and tests are disabled. Two ways to run builds and tests:
+1. Using dlc_developer_config.toml
+2. Using this PR description (currently only supported for PyTorch, TensorFlow, vllm, and base images)
 
 <details>
-<summary>Confused on how to run tests? Try using the helper utility...</summary>
+<summary>How to use the helper utility for updating dlc_developer_config.toml</summary>
 
 Assuming your remote is called `origin` (you can find out more with `git remote -v`)...
 
@@ -28,50 +28,34 @@ Assuming your remote is called `origin` (you can find out more with `git remote
 - Restore TOML file when ready to merge
 
 `python src/prepare_dlc_dev_environment.py -rcp origin`
-</details>
-
-**NOTE: If you are creating a PR for a new framework version, please ensure success of the standard, rc, and efa sagemaker remote tests by updating the dlc_developer_config.toml file:**
-<details>
-<summary>Expand</summary>
 
+**NOTE: If you are creating a PR for a new framework version, please ensure success of the local, standard, rc, and efa sagemaker tests by updating the dlc_developer_config.toml file:**
 - [ ] `sagemaker_remote_tests = true`
 - [ ] `sagemaker_efa_tests = true`
 - [ ] `sagemaker_rc_tests = true`
-
-**Additionally, please run the sagemaker local tests in at least one revision:**
 - [ ] `sagemaker_local_tests = true`
-
 </details>
 
-### Formatting
-- [ ] I have run `black -l 100` on my code (formatting tool: https://black.readthedocs.io/en/stable/getting_started.html)
-
-### DLC image/dockerfile
-
-#### Builds to Execute
 <details>
-<summary>Expand</summary>
-
-Fill out the template and click the checkbox of the builds you'd like to execute
-
-*Note: Replace with <X.Y> with the major.minor framework version (i.e. 2.2) you would like to start.*
-
-- [ ] build_pytorch_training_<X.Y>_sm
-- [ ] build_pytorch_training_<X.Y>_ec2
-
-- [ ] build_pytorch_inference_<X.Y>_sm
-- [ ] build_pytorch_inference_<X.Y>_ec2
-- [ ] build_pytorch_inference_<X.Y>_graviton
+<summary>How to use PR description</summary>
+Use the code block below to uncomment commands and run the PR CodeBuild jobs. There are two commands available:
 
-- [ ] build_tensorflow_training_<X.Y>_sm
-- [ ] build_tensorflow_training_<X.Y>_ec2
+- `# /buildspec <buildspec_path>`
+  - e.g.: `# /buildspec pytorch/training/buildspec.yml`
+  - If this line is commented out, dlc_developer_config.toml will be used. 
+- `# /tests <test_list>`
+  - e.g.: `# /tests sanity security ec2`
+  - If this line is commented out, it will run the default set of tests (same as the defaults in dlc_developer_config.toml): `sanity, security, ec2, ecs, eks, sagemaker, sagemaker-local`.
 
-- [ ] build_tensorflow_inference_<X.Y>_sm
-- [ ] build_tensorflow_inference_<X.Y>_ec2
-- [ ] build_tensorflow_inference_<X.Y>_graviton
 </details>
 
-### Additional context
+```
+# /buildspec <buildspec_path>
+# /tests <test_list> 
+```
+
+### Formatting
+- [ ] I have run `black -l 100` on my code (formatting tool: https://black.readthedocs.io/en/stable/getting_started.html)
 
 ### PR Checklist 
 <details>
@@ -84,14 +68,6 @@ Fill out the template and click the checkbox of the builds you'd like to execute
 - [ ] (If applicable) I've documented below the tests I've run on the DLC image
 - [ ] (If applicable) I've reviewed the licenses of updated and new binaries and their dependencies to make sure all licenses are on the Apache Software Foundation Third Party License Policy Category A or Category B license list.  See [https://www.apache.org/legal/resolved.html](https://www.apache.org/legal/resolved.html).
 - [ ] (If applicable) I've scanned the updated and new binaries to make sure they do not have vulnerabilities associated with them.
-
-#### NEURON/GRAVITON Testing Checklist
-* When creating a PR:
-- [ ] I've modified `dlc_developer_config.toml` in my PR branch by setting `neuron_mode = true` or `graviton_mode = true`
-
-#### Benchmark Testing Checklist
-* When creating a PR:
-- [ ] I've modified `dlc_developer_config.toml` in my PR branch by setting `ec2_benchmark_tests = true` or `sagemaker_benchmark_tests = true`
 </details>
 
 ### Pytest Marker Checklist

src/main.py

@@ -40,11 +40,15 @@ def main():
     # this build.
     utils.write_to_json_file(constants.TEST_TYPE_IMAGES_PATH, {})
 
-    # Skip tensorflow-1 PR jobs, as there are no longer patch releases being added for TF1
-    # Purposefully not including this in developer config to make this difficult to enable
-    # TODO: Remove when we remove these jobs completely
-    build_name = get_codebuild_project_name()
-    if build_context == "PR" and build_name == "dlc-pr-tensorflow-1":
+    # Only bypass TOML checks if buildspec comes from PR description
+    if os.getenv("FRAMEWORK_BUILDSPEC_FILE") and os.getenv("FROM_PR_DESCRIPTION") == "true":
+        utils.build_setup(
+            args.framework,
+            device_types=device_types,
+            image_types=image_types,
+            py_versions=py_versions,
+        )
+        image_builder(args.buildspec, image_types, device_types)
         return
 
     # A general build will work if build job and build mode are in non-EI, non-NEURON

src/start_testbuilds.py

@@ -57,6 +57,13 @@ def run_test_job(commit, codebuild_project, images_str=""):
     if config.is_deep_canary_mode_enabled():
         env_overrides.append({"name": "DEEP_CANARY_MODE", "value": "true", "type": "PLAINTEXT"})
 
+    # Get specified tests from PR description if any
+    specified_tests = os.getenv("SPECIFIED_TESTS")
+    if specified_tests:
+        env_overrides.append(
+            {"name": "SPECIFIED_TESTS", "value": specified_tests, "type": "PLAINTEXT"}
+        )
+
     pr_num = os.getenv("PR_NUMBER")
     LOGGER.debug(f"pr_num {pr_num}")
     env_overrides.extend(
@@ -248,17 +255,29 @@ def main():
         # Deep Canaries, as detailed in the docstring for run_deep_canary_pr_testbuilds().
         return
 
-    # load the images for all test_types to pass on to code build jobs
+    # Load the test types to images mapping
     with open(constants.TEST_TYPE_IMAGES_PATH) as json_file:
         test_images = json.load(json_file)
 
     # Run necessary PR test jobs
     commit = os.getenv("CODEBUILD_RESOLVED_SOURCE_VERSION")
 
+    specified_tests_env = os.getenv("SPECIFIED_TESTS")
+    if specified_tests_env:
+        specified_tests = specified_tests_env.split()
+        LOGGER.info(f"Running only specified tests from PR description: {specified_tests}")
+    else:
+        specified_tests = None
+
     for test_type, images in test_images.items():
-        # only run the code build test jobs when the images are present
+        # Skip any test_type not explicitly requested
+        if specified_tests and test_type not in specified_tests:
+            LOGGER.info(f"Skipping {test_type} test because it wasn’t in SPECIFIED_TESTS")
+            continue
+
         LOGGER.debug(f"test_type : {test_type}")
         LOGGER.debug(f"images: {images}")
+        # Only run the CodeBuild test jobs when images are present
         if images:
             pr_test_job = f"dlc-pr-{test_type}-test"
             images_str = " ".join(images)
@@ -275,11 +294,12 @@ def main():
             ):
                 run_test_job(commit, pr_test_job, images_str)
 
-            if test_type == "autopr" and config.is_autopatch_build_enabled(
-                buildspec_path=config.get_buildspec_override()
-                or os.getenv("FRAMEWORK_BUILDSPEC_FILE"),
-            ):
-                run_test_job(commit, f"dlc-pr-{test_type}", images_str)
+            # autopr is disabled
+            # if test_type == "autopr" and config.is_autopatch_build_enabled(
+            #     buildspec_path=config.get_buildspec_override()
+            #     or os.getenv("FRAMEWORK_BUILDSPEC_FILE"),
+            # ):
+            #     run_test_job(commit, f"dlc-pr-{test_type}", images_str)
 
             # Trigger sagemaker local test jobs when there are changes in sagemaker_tests
             if test_type == "sagemaker" and config.is_sm_local_test_enabled():

src/utils.py

@@ -462,16 +462,20 @@ def upload_data_to_pr_creation_s3_bucket(upload_data: str, s3_filepath: str, tag
     :param tag_set: List[Dict], as described above
     :return: str, s3 file path
     """
-    s3_resource = boto3.resource("s3")
-    s3object = s3_resource.Object(constants.PR_CREATION_DATA_HELPER_BUCKET, s3_filepath)
-    s3_client = s3_resource.meta.client
-    s3object.put(Body=(bytes(upload_data.encode("UTF-8"))))
-    if tag_set:
-        s3_client.put_object_tagging(
-            Bucket=constants.PR_CREATION_DATA_HELPER_BUCKET,
-            Key=s3_filepath,
-            Tagging={"TagSet": tag_set},
-        )
+    s3 = boto3.resource("s3")
+    bucket = constants.PR_CREATION_DATA_HELPER_BUCKET
+    obj = s3.Object(bucket, s3_filepath)
+    client = s3.meta.client
+    try:
+        obj.put(Body=upload_data.encode("utf-8"))
+        if tag_set:
+            client.put_object_tagging(
+                Bucket=bucket,
+                Key=s3_filepath,
+                Tagging={"TagSet": tag_set},
+            )
+    except ClientError as e:
+        LOGGER.info(f"Could not write to s3://{bucket}/{s3_filepath}: {e}")
 
 
 def get_unique_s3_path_for_uploading_data_to_pr_creation_bucket(image_uri: str, file_name: str):

test/testrunner.py

@@ -441,6 +441,11 @@ def main():
             else:
                 raise Exception(f"EKS cluster {eks_cluster_name} is not in active state")
 
+        # Get specified tests if any
+        specified_tests = os.getenv("SPECIFIED_TESTS")
+        if specified_tests:
+            specified_tests = specified_tests.split()
+
         # Execute dlc_tests pytest command
         pytest_cmd = [
             "-s",
@@ -449,6 +454,9 @@ def main():
             f"--junitxml={report}",
             "-n=auto",
         ]
+        if specified_tests:
+            test_expr = " or ".join(f"test_{t}" for t in specified_tests)
+            pytest_cmd.extend(["-k", f"({test_expr})"])
 
         is_habana_image = any("habana" in image_uri for image_uri in all_image_list)
         if specific_test_type == "ec2":