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https://github.com/GoogleCloudPlatform/vertex-ai-samples.git
synced 2026-09-26 14:42:04 +00:00
feat: read accumulative result files (#1837)
* feat: read accumulative result files * fix: build results dir * fix: build results dir * fix: selection algo * fix: selection algo * fix: selection algo * fix: selection algo * fix: selection algo * fix: selection algo * fix: selection algo * fix: selection algo * fix: selection algo * fix: selection algo * fix: selection algo * fix: selection algo * fix: selection algo * fix: debug * fix: debug * fix: debug * fix: debug * fix: debug * fix: debug * fix: debug select algo * fix: debug select algo * fix: debug select algo * fix: debug select algo * fix: filtering * fix: review comments * fix: rm test_filter
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@@ -137,7 +137,11 @@ changed_notebooks = execute_changed_notebooks_helper.get_changed_notebooks(
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results_bucket = f"{args.artifacts_bucket}"
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results_file = f"{args.build_id}.json"
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# artifacts_bucket may get set by trigger to a full gs:// folder path
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if results_bucket.startswith("gs://"):
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results_bucket = results_bucket[5:]
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results_bucket = results_bucket.split('/')[0]
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results_file = f"build_results/{args.build_id}.json"
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if args.test_percent == 100:
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notebooks = changed_notebooks
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@@ -158,7 +162,6 @@ else:
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staging_bucket=args.staging_bucket,
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artifacts_bucket=args.artifacts_bucket,
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results_file=results_file,
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accumulative_results=accumulative_results,
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should_parallelize=args.should_parallelize,
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timeout=args.timeout,
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variable_project_id=args.variable_project_id,
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@@ -95,8 +95,20 @@ def load_results(results_bucket: str,
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print("Loading existing accumulative results ...")
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accumulative_results = {}
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try:
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content = util.download_blob_into_memory(results_bucket, results_file, download_as_text=True)
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accumulative_results = json.loads(content)
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client = storage.Client()
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bucket = client.bucket(results_bucket)
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build_results_dir = os.path.dirname(results_file)
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blobs = client.list_blobs(results_bucket, prefix=build_results_dir)
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for blob in blobs:
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content = util.download_blob_into_memory(results_bucket, blob.name, download_as_text=True)
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build_results = json.loads(content)
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for notebook in build_results:
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if notebook in accumulative_results:
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accumulative_results[notebook] += build_results[notebook]
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else:
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accumulative_results[notebook] = build_results[notebook]
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print(accumulative_results)
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except Exception as e:
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print(e)
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@@ -118,7 +130,15 @@ def select_notebook(changed_notebook: str,
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pass_count = 1
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fail_count = 0
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return (random.randint(1, 100) * (1 + (fail_count / (pass_count + fail_count))) < test_percent)
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inferred_failure_rate = fail_count / (pass_count + fail_count)
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# If failure rate is high, the chance of testing should be higher
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should_test_due_to_failure = random.uniform(0, 1) < inferred_failure_rate
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# Additionally, only test a percentage of these
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should_test_due_to_random_subset = random.uniform(0, 1) < test_percent
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return should_test_due_to_failure and should_test_due_to_random_subset
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def _process_notebook(
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@@ -379,39 +399,30 @@ def get_changed_notebooks(
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return notebooks
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def _save_results(results: List[NotebookExecutionResult],
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accumulative_results: Dict[str,Any],
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artifacts_bucket: str,
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results_file: str):
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artifacts_bucket = artifacts_bucket.replace("gs://", "").split('/')[0]
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print("Updating accumulative results ...")
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print("Updating build results ...")
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build_results = {}
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for result in results:
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if result.path in accumulative_results:
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accumulative_results[result.path]['duration'] = result.duration.total_seconds()
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accumulative_results[result.path]['start_time'] = str(result.start_time)
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if result.is_pass:
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accumulative_results[result.path]['passed'] += 1
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else:
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accumulative_results[result.path]['failed'] += 1
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print(f"updating {result.path}")
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if result.is_pass:
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pass_count = 1
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fail_count = 0
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else:
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if result.is_pass:
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pass_count = 1
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fail_count = 0
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else:
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pass_count = 0
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fail_count = 1
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accumulative_results[result.path] = {
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'duration': result.duration.total_seconds(),
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'start_time': str(result.start_time),
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'passed': pass_count,
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'failed': fail_count
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}
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print(f"adding {result.path}")
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pass_count = 0
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fail_count = 1
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build_results[result.path] = {
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'duration': result.duration.total_seconds(),
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'start_time': str(result.start_time),
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'passed': pass_count,
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'failed': fail_count
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}
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print(f"adding {result.path}")
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print("Saving accumulative results ...")
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content = json.dumps(accumulative_results)
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content = json.dumps(build_results)
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client = storage.Client()
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bucket = client.get_bucket(artifacts_bucket)
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@@ -425,7 +436,6 @@ def process_and_execute_notebooks(
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staging_bucket: str,
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artifacts_bucket: str,
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results_file: str,
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accumulative_results: List[NotebookExecutionResult],
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should_parallelize: bool,
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timeout: int,
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variable_project_id: str,
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@@ -455,8 +465,6 @@ def process_and_execute_notebooks(
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Required. The GCS staging bucket to write executed notebooks to.
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results_file (str):
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Required: The path to the artifacts bucket to save results
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accumulative_results (List):
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Required: The in-memory previous accumulative notebook CI/CD test results.
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variable_project_id (str):
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Required. The value for PROJECT_ID to inject into notebooks.
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variable_region (str):
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@@ -578,7 +586,6 @@ def process_and_execute_notebooks(
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print(log_contents)
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_save_results(results_sorted,
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accumulative_results,
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artifacts_bucket,
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results_file)
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