mirror of
https://github.com/pytorch/pytorch.git
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This reverts commit 45411d1fc9a2b6d2f891b6ab0ae16409719e09fc. Reverted https://github.com/pytorch/pytorch/pull/129409 on behalf of https://github.com/jeanschmidt due to Breaking internal CI, @albanD please help get this PR merged ([comment](https://github.com/pytorch/pytorch/pull/129409#issuecomment-2571316444))
284 lines
8.2 KiB
Python
284 lines
8.2 KiB
Python
from __future__ import annotations
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import gzip
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import inspect
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import json
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import sys
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import unittest
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from pathlib import Path
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from typing import Any
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from unittest import mock
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REPO_ROOT = Path(__file__).resolve().parents[2]
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sys.path.insert(0, str(REPO_ROOT))
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from tools.stats.upload_metrics import add_global_metric, emit_metric, global_metrics
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from tools.stats.upload_stats_lib import get_s3_resource, remove_nan_inf
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sys.path.remove(str(REPO_ROOT))
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# default values
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REPO = "some/repo"
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BUILD_ENV = "cuda-10.2"
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TEST_CONFIG = "test-config"
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WORKFLOW = "some-workflow"
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JOB = "some-job"
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RUN_ID = 56
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RUN_NUMBER = 123
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RUN_ATTEMPT = 3
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PR_NUMBER = 6789
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JOB_ID = 234
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JOB_NAME = "some-job-name"
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@mock.patch("boto3.resource")
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class TestUploadStats(unittest.TestCase):
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emitted_metric: dict[str, Any] = {"did_not_emit": True}
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def mock_put_item(self, **kwargs: Any) -> None:
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# Utility for mocking putting items into s3. THis will save the emitted
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# metric so tests can check it
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self.emitted_metric = json.loads(
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gzip.decompress(kwargs["Body"]).decode("utf-8")
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)
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# Before each test, set the env vars to their default values
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def setUp(self) -> None:
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get_s3_resource.cache_clear()
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global_metrics.clear()
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mock.patch.dict(
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"os.environ",
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{
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"CI": "true",
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"BUILD_ENVIRONMENT": BUILD_ENV,
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"TEST_CONFIG": TEST_CONFIG,
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"GITHUB_REPOSITORY": REPO,
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"GITHUB_WORKFLOW": WORKFLOW,
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"GITHUB_JOB": JOB,
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"GITHUB_RUN_ID": str(RUN_ID),
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"GITHUB_RUN_NUMBER": str(RUN_NUMBER),
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"GITHUB_RUN_ATTEMPT": str(RUN_ATTEMPT),
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"JOB_ID": str(JOB_ID),
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"JOB_NAME": str(JOB_NAME),
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},
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clear=True, # Don't read any preset env vars
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).start()
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def test_emits_default_and_given_metrics(self, mock_resource: Any) -> None:
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metric = {
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"some_number": 123,
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"float_number": 32.34,
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}
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# Querying for this instead of hard coding it b/c this will change
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# based on whether we run this test directly from python or from
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# pytest
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current_module = inspect.getmodule(inspect.currentframe()).__name__ # type: ignore[union-attr]
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emit_should_include = {
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"metric_name": "metric_name",
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"calling_file": "test_upload_stats_lib.py",
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"calling_module": current_module,
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"calling_function": "test_emits_default_and_given_metrics",
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"repo": REPO,
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"workflow": WORKFLOW,
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"build_environment": BUILD_ENV,
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"job": JOB,
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"test_config": TEST_CONFIG,
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"run_id": RUN_ID,
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"run_number": RUN_NUMBER,
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"run_attempt": RUN_ATTEMPT,
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"job_id": JOB_ID,
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"job_name": JOB_NAME,
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"info": metric,
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}
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mock_resource.return_value.Object.return_value.put = self.mock_put_item
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emit_metric("metric_name", metric)
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self.assertEqual(
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self.emitted_metric,
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{**self.emitted_metric, **emit_should_include},
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)
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def test_when_global_metric_specified_then_it_emits_it(
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self, mock_resource: Any
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) -> None:
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metric = {
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"some_number": 123,
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}
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global_metric_name = "global_metric"
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global_metric_value = "global_value"
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add_global_metric(global_metric_name, global_metric_value)
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emit_should_include = {
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**metric,
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global_metric_name: global_metric_value,
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}
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mock_resource.return_value.Object.return_value.put = self.mock_put_item
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emit_metric("metric_name", metric)
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self.assertEqual(
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self.emitted_metric,
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{**self.emitted_metric, "info": emit_should_include},
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)
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def test_when_local_and_global_metric_specified_then_global_is_overridden(
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self, mock_resource: Any
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) -> None:
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global_metric_name = "global_metric"
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global_metric_value = "global_value"
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local_override = "local_override"
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add_global_metric(global_metric_name, global_metric_value)
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metric = {
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"some_number": 123,
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global_metric_name: local_override,
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}
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emit_should_include = {
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**metric,
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global_metric_name: local_override,
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}
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mock_resource.return_value.Object.return_value.put = self.mock_put_item
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emit_metric("metric_name", metric)
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self.assertEqual(
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self.emitted_metric,
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{**self.emitted_metric, "info": emit_should_include},
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)
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def test_when_optional_envvar_set_to_actual_value_then_emit_vars_emits_it(
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self, mock_resource: Any
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) -> None:
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metric = {
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"some_number": 123,
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}
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emit_should_include = {
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"info": {**metric},
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"pr_number": PR_NUMBER,
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}
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mock.patch.dict(
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"os.environ",
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{
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"PR_NUMBER": str(PR_NUMBER),
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},
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).start()
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mock_resource.return_value.Object.return_value.put = self.mock_put_item
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emit_metric("metric_name", metric)
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self.assertEqual(
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self.emitted_metric,
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{**self.emitted_metric, **emit_should_include},
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)
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def test_when_optional_envvar_set_to_a_empty_str_then_emit_vars_ignores_it(
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self, mock_resource: Any
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) -> None:
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metric = {"some_number": 123}
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emit_should_include: dict[str, Any] = metric.copy()
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# Github Actions defaults some env vars to an empty string
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default_val = ""
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mock.patch.dict(
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"os.environ",
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{
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"PR_NUMBER": default_val,
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},
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).start()
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mock_resource.return_value.Object.return_value.put = self.mock_put_item
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emit_metric("metric_name", metric)
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self.assertEqual(
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self.emitted_metric,
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{**self.emitted_metric, "info": emit_should_include},
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f"Metrics should be emitted when an option parameter is set to '{default_val}'",
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)
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self.assertFalse(
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self.emitted_metric.get("pr_number"),
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f"Metrics should not include optional item 'pr_number' when it's envvar is set to '{default_val}'",
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)
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def test_no_metrics_emitted_if_required_env_var_not_set(
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self, mock_resource: Any
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) -> None:
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metric = {"some_number": 123}
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mock.patch.dict(
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"os.environ",
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{
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"CI": "true",
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"BUILD_ENVIRONMENT": BUILD_ENV,
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},
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clear=True,
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).start()
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mock_resource.return_value.Object.return_value.put = self.mock_put_item
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emit_metric("metric_name", metric)
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self.assertTrue(self.emitted_metric["did_not_emit"])
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def test_no_metrics_emitted_if_required_env_var_set_to_empty_string(
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self, mock_resource: Any
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) -> None:
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metric = {"some_number": 123}
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mock.patch.dict(
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"os.environ",
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{
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"GITHUB_JOB": "",
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},
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).start()
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mock_resource.return_value.Object.return_value.put = self.mock_put_item
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emit_metric("metric_name", metric)
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self.assertTrue(self.emitted_metric["did_not_emit"])
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def test_remove_nan_inf(self, _mocked_resource: Any) -> None:
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checks = [
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(float("inf"), '"inf"', "Infinity"),
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(float("nan"), '"nan"', "NaN"),
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({1: float("inf")}, '{"1": "inf"}', '{"1": Infinity}'),
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([float("nan")], '["nan"]', "[NaN]"),
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({1: [float("nan")]}, '{"1": ["nan"]}', '{"1": [NaN]}'),
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]
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for input, clean, unclean in checks:
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clean_output = json.dumps(remove_nan_inf(input))
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unclean_output = json.dumps(input)
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self.assertEqual(
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clean_output,
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clean,
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f"Expected {clean} when input is {unclean}, got {clean_output}",
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)
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self.assertEqual(
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unclean_output,
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unclean,
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f"Expected {unclean} when input is {unclean}, got {unclean_output}",
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)
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if __name__ == "__main__":
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unittest.main()
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