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# 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__ = "partheniou@google.com (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()
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