| # Copyright 2021 Google LLC |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| |
| """ChangeSummary tests.""" |
| |
| __author__ = "[email protected] (Anthonios Partheniou)" |
| |
| import pathlib |
| import shutil |
| import unittest |
| |
| import pandas as pd |
| |
| from changesummary import ChangeSummary |
| from changesummary import ChangeType |
| from changesummary import DirectoryDoesNotExist |
| |
| SCRIPTS_DIR = pathlib.Path(__file__).parent.resolve() |
| NEW_ARTIFACTS_DIR = SCRIPTS_DIR / "test_resources" / "new_artifacts_dir" |
| CURRENT_ARTIFACTS_DIR = SCRIPTS_DIR / "test_resources" / "current_artifacts_dir" |
| TEMP_DIR = SCRIPTS_DIR / "test_resources" / "temp" |
| |
| |
| class TestChangeSummary(unittest.TestCase): |
| def setUp(self): |
| # Clear temporary directory |
| shutil.rmtree(TEMP_DIR, ignore_errors=True) |
| # Create temporary directory |
| pathlib.Path(TEMP_DIR).mkdir() |
| |
| self.cs = ChangeSummary(NEW_ARTIFACTS_DIR, CURRENT_ARTIFACTS_DIR, TEMP_DIR, []) |
| |
| def test_raises_on_directory_not_found_new_artifacts_dir(self): |
| with self.assertRaises(DirectoryDoesNotExist): |
| ChangeSummary( |
| "invalid_artifact_dir", CURRENT_ARTIFACTS_DIR, TEMP_DIR, [] |
| ).detect_discovery_changes() |
| |
| def test_raises_on_directory_not_found_current_artifacts_dir(self): |
| with self.assertRaises(DirectoryDoesNotExist): |
| ChangeSummary( |
| NEW_ARTIFACTS_DIR, "invalid_artifact_dir", TEMP_DIR, [] |
| ).detect_discovery_changes() |
| |
| def test_raises_on_directory_not_found_temp_dir(self): |
| # Remove temporary directory |
| shutil.rmtree(TEMP_DIR, ignore_errors=True) |
| |
| with self.assertRaises(DirectoryDoesNotExist): |
| ChangeSummary( |
| NEW_ARTIFACTS_DIR, CURRENT_ARTIFACTS_DIR, "invalid_temp_dir", [] |
| ).detect_discovery_changes() |
| |
| # Create temporary directory |
| pathlib.Path(TEMP_DIR).mkdir() |
| |
| ChangeSummary( |
| NEW_ARTIFACTS_DIR, CURRENT_ARTIFACTS_DIR, TEMP_DIR, [] |
| ).detect_discovery_changes() |
| |
| def test_raises_on_directory_not_found(self): |
| with self.assertRaises(DirectoryDoesNotExist): |
| self.cs._raise_if_directory_not_found(directory="invalid_dir") |
| |
| def test_load_json_to_dataframe_returns_empty_df_if_file_path_invalid(self): |
| df = self.cs._load_json_to_dataframe(file_path="invalid_path") |
| self.assertTrue(df.empty) |
| |
| def test_load_json_to_dataframe_returns_expected_data(self): |
| doc_path = NEW_ARTIFACTS_DIR / "drive.v3.json" |
| df = self.cs._load_json_to_dataframe(file_path=doc_path) |
| self.assertEqual(df["name"].iloc[0], "drive") |
| self.assertEqual(df["version"].iloc[0], "v3") |
| |
| def test_get_discovery_differences_for_new_doc_returns_expected_dataframe(self): |
| df = self.cs._get_discovery_differences("drive.v3.json") |
| # Assume that `drive.v3.json` is a new discovery artifact that doesn't |
| # exist in `CURRENT_ARTIFACTS_DIR`. |
| self.assertEqual(df["Name"].iloc[0], "drive") |
| self.assertEqual(df["Version"].iloc[0], "v3") |
| |
| # All rows in the dataframe should have `True` in the `Added` column |
| # and `False` in the `Deleted` column. |
| # pd.Dataframe().all() will return `True` if all elements are `True`. |
| self.assertTrue(df["Added"].all()) |
| self.assertTrue((~df["Deleted"]).all()) |
| |
| # There should be 4 unique key differences |
| self.assertEqual(len(df), 4) |
| |
| # Expected Result for key 'schemas.FileList' |
| # Key Added Deleted Name Version ChangeType Count |
| # schemas.FileList True False drive v3 2 8 |
| self.assertTrue(df[df["Key"] == "schemas.FileList"].Added.iloc[0]) |
| self.assertFalse(df[df["Key"] == "schemas.FileList"].Deleted.iloc[0]) |
| self.assertEqual( |
| df[df["Key"] == "schemas.FileList"].ChangeType.iloc[0], ChangeType.ADDED |
| ) |
| self.assertEqual(df[df["Key"] == "schemas.FileList"].Count.iloc[0], 8) |
| |
| def test_get_discovery_differences_for_deleted_doc_returns_expected_dataframe(self): |
| df = self.cs._get_discovery_differences("cloudtasks.v2.json") |
| # Assuming that `cloudtasks.v2.json` is a discovery artifact that doesn't |
| # exist in `NEW_ARTIFACTS_DIR`. |
| self.assertEqual(df["Name"].iloc[0], "cloudtasks") |
| self.assertEqual(df["Version"].iloc[0], "v2") |
| |
| # All rows in the dataframe should have `False` in the `Added` column |
| # and `True` in the `Deleted` column. |
| # pd.Dataframe().all() will return `True` if all elements are `True`. |
| self.assertTrue((~df["Added"]).all()) |
| self.assertTrue(df["Deleted"].all()) |
| |
| # There should be 6 unique key differences |
| self.assertEqual(len(df), 6) |
| |
| # Expected Result for key 'schemas.Task' |
| # Key Added Deleted Name Version ChangeType Count |
| # schemas.Task False True cloudtasks v2 1 18 |
| self.assertFalse(df[df["Key"] == "schemas.Task"].Added.iloc[0]) |
| self.assertTrue(df[df["Key"] == "schemas.Task"].Deleted.iloc[0]) |
| self.assertEqual( |
| df[df["Key"] == "schemas.Task"].ChangeType.iloc[0], ChangeType.DELETED |
| ) |
| self.assertEqual(df[df["Key"] == "schemas.Task"].Count.iloc[0], 18) |
| |
| def test_get_discovery_differences_for_changed_doc_returns_expected_dataframe(self): |
| # Assuming that `bigquery.v2.json` is a discovery artifact has |
| # changed. There will be a mix of keys being added, changed or deleted. |
| df = self.cs._get_discovery_differences("bigquery.v2.json") |
| |
| self.assertEqual(df["Name"].iloc[0], "bigquery") |
| self.assertEqual(df["Version"].iloc[0], "v2") |
| |
| # There should be 28 unique key differences |
| # 1 unique keys changed, 1 unique keys added, 2 unique keys deleted |
| self.assertEqual(len(df), 4) |
| self.assertEqual(len(df[df["ChangeType"] == ChangeType.CHANGED]), 1) |
| self.assertEqual(len(df[df["ChangeType"] == ChangeType.ADDED]), 1) |
| self.assertEqual(len(df[df["ChangeType"] == ChangeType.DELETED]), 2) |
| |
| # Expected Result for key 'schemas.PrincipalComponentInfo' |
| # Key Added Deleted Name Version ChangeType Count |
| # schemas.PrincipalComponentInfo False True bigquery v2 1 10 |
| key = "schemas.PrincipalComponentInfo" |
| self.assertFalse(df[df["Key"] == key].Added.iloc[0]) |
| self.assertTrue(df[df["Key"] == key].Deleted.iloc[0]) |
| self.assertEqual(df[df["Key"] == key].ChangeType.iloc[0], ChangeType.DELETED) |
| self.assertEqual(df[df["Key"] == key].Count.iloc[0], 10) |
| |
| def test_build_summary_message_returns_expected_result(self): |
| msg = self.cs._build_summary_message(api_name="bigquery", is_feature=True) |
| self.assertEqual(msg, "feat(bigquery): update the api") |
| msg = self.cs._build_summary_message(api_name="bigquery", is_feature=False) |
| self.assertEqual(msg, "fix(bigquery): update the api") |
| |
| def test_get_stable_versions(self): |
| # These versions should be considered stable |
| s = pd.Series(["v1", "v1.4", "v1.4.5"]) |
| self.assertTrue(self.cs._get_stable_versions(s).all().iloc[0]) |
| |
| # These versions should not be considered stable |
| s = pd.Series(["v1b1", "v1alpha", "v1beta1"]) |
| self.assertTrue((~self.cs._get_stable_versions(s)).all().iloc[0]) |
| |
| def test_detect_discovery_changes(self): |
| files_changed = ["bigquery.v2.json", "cloudtasks.v2.json", "drive.v3.json"] |
| cs = ChangeSummary( |
| NEW_ARTIFACTS_DIR, CURRENT_ARTIFACTS_DIR, TEMP_DIR, files_changed |
| ) |
| cs.detect_discovery_changes() |
| result = pd.read_csv(TEMP_DIR / "allapis.dataframe") |
| |
| # bigquery was added |
| # 4 key changes in total. |
| # 1 unique keys changed, 1 unique keys added, 2 unique keys deleted |
| self.assertEqual(len(result[result["Name"] == "bigquery"]), 4) |
| self.assertEqual( |
| len(result[(result["Name"] == "bigquery") & result["Added"]]), 1 |
| ) |
| |
| # Confirm that key "schemas.ProjectReference.newkey" exists for bigquery |
| self.assertEqual( |
| result[ |
| (result["Name"] == "bigquery") & (result["Added"]) & (result["Count"] == 1) |
| ]["Key"].iloc[0], |
| "schemas.ProjectReference.newkey", |
| ) |
| |
| self.assertEqual( |
| len(result[(result["Name"] == "bigquery") & result["Deleted"]]), 2 |
| ) |
| self.assertTrue(result[result["Name"] == "bigquery"].IsStable.all()) |
| self.assertTrue(result[result["Name"] == "bigquery"].IsFeatureAggregate.all()) |
| self.assertEqual( |
| result[result["Name"] == "bigquery"].Summary.iloc[0], |
| "feat(bigquery): update the api", |
| ) |
| |
| # cloudtasks was deleted |
| # 6 key changes in total. All 6 key changes should be deletions. |
| self.assertEqual(len(result[result["Name"] == "cloudtasks"]), 6) |
| self.assertEqual( |
| len(result[(result["Name"] == "cloudtasks") & result["Added"]]), 0 |
| ) |
| self.assertEqual( |
| len(result[(result["Name"] == "cloudtasks") & result["Deleted"]]), 6 |
| ) |
| self.assertTrue(result[(result["Name"] == "cloudtasks")].IsStable.all()) |
| self.assertTrue( |
| result[(result["Name"] == "cloudtasks")].IsFeatureAggregate.all() |
| ) |
| self.assertEqual( |
| result[(result["Name"] == "cloudtasks")].Summary.iloc[0], |
| "feat(cloudtasks): update the api", |
| ) |
| |
| # drive was updated |
| # 4 key changes in total. All 4 key changes should be additions |
| self.assertEqual(len(result[result["Name"] == "drive"]), 4) |
| self.assertEqual(len(result[(result["Name"] == "drive") & result["Added"]]), 4) |
| self.assertEqual( |
| len(result[(result["Name"] == "drive") & result["Deleted"]]), 0 |
| ) |
| self.assertTrue(result[(result["Name"] == "drive")].IsStable.all()) |
| self.assertTrue(result[(result["Name"] == "drive")].IsFeatureAggregate.all()) |
| self.assertEqual( |
| result[(result["Name"] == "drive")].Summary.iloc[0], |
| "feat(drive): update the api", |
| ) |
| |
| |
| if __name__ == "__main__": |
| unittest.main() |
