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test_issue_metrics.py
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test_issue_metrics.py
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"""A module containing unit tests for the issue_metrics module.
This module contains unit tests for the functions in the issue_metrics module
that measure and analyze metrics of GitHub issues. The tests use mock GitHub
issues and comments to test the functions' behavior.
Classes:
TestSearchIssues: A class to test the search_issues function.
TestAuthToGithub: A class to test the auth_to_github function.
TestGetPerIssueMetrics: A class to test the get_per_issue_metrics function.
TestGetEnvVars: A class to test the get_env_vars function.
TestMain: A class to test the main function.
"""
import os
import unittest
from datetime import datetime, timedelta
from unittest.mock import MagicMock, patch
import github3
import issue_metrics
from issue_metrics import (
IssueWithMetrics,
auth_to_github,
get_env_vars,
get_per_issue_metrics,
measure_time_to_close,
measure_time_to_first_response,
search_issues,
)
class TestSearchIssues(unittest.TestCase):
"""Unit tests for the search_issues function.
This class contains unit tests for the search_issues function in the
issue_metrics module. The tests use the unittest module and the unittest.mock
module to mock the GitHub API and test the function in isolation.
Methods:
test_search_issues: Test that search_issues returns the correct issues.
"""
def test_search_issues(self):
"""Test that search_issues returns the correct issues."""
# Set up the mock GitHub connection object
mock_connection = MagicMock()
mock_issues = [
MagicMock(title="Issue 1"),
MagicMock(title="Issue 2"),
]
mock_connection.search_issues.return_value = mock_issues
# Call search_issues and check that it returns the correct issues
issues = search_issues("is:open", mock_connection)
self.assertEqual(issues, mock_issues)
class TestAuthToGithub(unittest.TestCase):
"""Test the auth_to_github function."""
@patch("github3.github.GitHub.login_as_app_installation")
def test_auth_to_github_with_github_app(self, mock_login):
"""
Test the auth_to_github function when GitHub app
parameters provided.
"""
mock_login.return_value = MagicMock()
result = auth_to_github(12345, 678910, b"hello", "", "")
self.assertIsInstance(result, github3.github.GitHub)
def test_auth_to_github_with_token(self):
"""
Test the auth_to_github function when the token is provided.
"""
result = auth_to_github(None, None, b"", "token", "")
self.assertIsInstance(result, github3.github.GitHub)
def test_auth_to_github_without_authentication_information(self):
"""
Test the auth_to_github function when authentication information is not provided.
Expect a ValueError to be raised.
"""
with self.assertRaises(ValueError):
auth_to_github(None, None, b"", "", "")
def test_auth_to_github_with_ghe(self):
"""
Test the auth_to_github function when the GitHub Enterprise URL is provided.
"""
result = auth_to_github(None, None, b"", "token", "https://github.example.com")
self.assertIsInstance(result, github3.github.GitHubEnterprise)
class TestGetEnvVars(unittest.TestCase):
"""Test suite for the get_env_vars function."""
@patch.dict(
os.environ,
{"GH_TOKEN": "test_token", "SEARCH_QUERY": "is:issue is:open repo:user/repo"},
)
def test_get_env_vars(self):
"""Test that the function correctly retrieves the environment variables."""
# Call the function and check the result
search_query = get_env_vars().search_query
gh_token = get_env_vars().gh_token
gh_token_expected_result = "test_token"
search_query_expected_result = "is:issue is:open repo:user/repo"
self.assertEqual(gh_token, gh_token_expected_result)
self.assertEqual(search_query, search_query_expected_result)
def test_get_env_vars_missing_query(self):
"""Test that the function raises a ValueError
if the SEARCH_QUERY environment variable is not set."""
# Unset the SEARCH_QUERY environment variable
os.environ.pop("SEARCH_QUERY", None)
# Call the function and check that it raises a ValueError
with self.assertRaises(ValueError):
get_env_vars()
class TestMain(unittest.TestCase):
"""Unit tests for the main function.
This class contains unit tests for the main function in the issue_metrics
module. The tests use the unittest module and the unittest.mock module to
mock the GitHub API and test the function in isolation.
Methods:
test_main: Test that main runs without errors.
test_main_no_issues_found: Test that main handles when no issues are found
"""
@patch("issue_metrics.auth_to_github")
@patch("issue_metrics.search_issues")
@patch("issue_metrics.measure_time_to_first_response")
@patch("issue_metrics.get_stats_time_to_first_response")
@patch.dict(
os.environ,
{
"SEARCH_QUERY": "is:open repo:user/repo",
"GH_TOKEN": "test_token",
},
)
def test_main(
self,
mock_get_stats_time_to_first_response,
mock_measure_time_to_first_response,
mock_search_issues,
mock_auth_to_github,
):
"""Test that main runs without errors."""
# Set up the mock GitHub connection object
mock_connection = MagicMock()
mock_auth_to_github.return_value = mock_connection
# Set up the mock search_issues function
mock_issues = MagicMock(
items=[
MagicMock(title="Issue 1"),
MagicMock(title="Issue 2"),
]
)
mock_search_issues.return_value = mock_issues
# Set up the mock measure_time_to_first_response function
mock_issues_with_ttfr = [
(
"Issue 1",
"https://github.com/user/repo/issues/1",
"alice",
timedelta(days=1, hours=2, minutes=30),
),
(
"Issue 2",
"https://github.com/user/repo/issues/2",
"bob",
timedelta(days=3, hours=4, minutes=30),
),
]
mock_measure_time_to_first_response.return_value = mock_issues_with_ttfr
# Set up the mock get_stats_time_to_first_response function
mock_stats_time_to_first_response = 15
mock_get_stats_time_to_first_response.return_value = (
mock_stats_time_to_first_response
)
# Call main and check that it runs without errors
issue_metrics.main()
# Remove the markdown file created by main
os.remove("issue_metrics.md")
@patch("issue_metrics.auth_to_github")
@patch("issue_metrics.search_issues")
@patch("issue_metrics.write_to_markdown")
@patch.dict(
os.environ,
{
"SEARCH_QUERY": "is:open repo:org/repo",
"GH_TOKEN": "test_token",
},
)
def test_main_no_issues_found(
self,
mock_write_to_markdown,
mock_search_issues,
mock_auth_to_github,
):
"""Test that main writes 'No issues found' to the
console and calls write_to_markdown with None."""
# Set up the mock GitHub connection object
mock_connection = MagicMock()
mock_auth_to_github.return_value = mock_connection
# Set up the mock search_issues function to return an empty list of issues
mock_issues = MagicMock(items=[])
mock_search_issues.return_value = mock_issues
# Call main and check that it writes 'No issues found'
issue_metrics.main()
mock_write_to_markdown.assert_called_once_with(
None, None, None, None, None, None, None
)
class TestGetPerIssueMetrics(unittest.TestCase):
"""Test suite for the get_per_issue_metrics function."""
def test_get_per_issue_metrics(self):
"""Test that the function correctly calculates the metrics for a list of GitHub issues."""
# Create mock data
mock_issue1 = MagicMock(
title="Issue 1",
html_url="https://github.com/user/repo/issues/1",
author="alice",
state="open",
comments=1,
created_at="2023-01-01T00:00:00Z",
)
mock_comment1 = MagicMock()
mock_comment1.created_at = datetime.fromisoformat("2023-01-02T00:00:00Z")
mock_issue1.issue.comments.return_value = [mock_comment1]
mock_issue1.issue.pull_request_urls = None
mock_issue2 = MagicMock(
title="Issue 2",
html_url="https://github.com/user/repo/issues/2",
author="bob",
state="closed",
comments=1,
created_at="2023-01-01T00:00:00Z",
closed_at="2023-01-04T00:00:00Z",
)
mock_comment2 = MagicMock()
mock_comment2.created_at = datetime.fromisoformat("2023-01-03T00:00:00Z")
mock_issue2.issue.comments.return_value = [mock_comment2]
mock_issue2.issue.pull_request_urls = None
issues = [
mock_issue1,
mock_issue2,
]
# Call the function and check the result
with unittest.mock.patch( # type:ignore
"issue_metrics.measure_time_to_first_response",
measure_time_to_first_response,
), unittest.mock.patch( # type:ignore
"issue_metrics.measure_time_to_close", measure_time_to_close
):
(
result_issues_with_metrics,
result_num_issues_open,
result_num_issues_closed,
) = get_per_issue_metrics(issues)
expected_issues_with_metrics = [
IssueWithMetrics(
"Issue 1",
"https://github.com/user/repo/issues/1",
"alice",
timedelta(days=1),
None,
None,
None,
),
IssueWithMetrics(
"Issue 2",
"https://github.com/user/repo/issues/2",
"bob",
timedelta(days=2),
timedelta(days=3),
None,
None,
),
]
expected_num_issues_open = 1
expected_num_issues_closed = 1
self.assertEqual(result_num_issues_open, expected_num_issues_open)
self.assertEqual(result_num_issues_closed, expected_num_issues_closed)
self.assertEqual(
result_issues_with_metrics[0].time_to_first_response,
expected_issues_with_metrics[0].time_to_first_response,
)
self.assertEqual(
result_issues_with_metrics[0].time_to_close,
expected_issues_with_metrics[0].time_to_close,
)
self.assertEqual(
result_issues_with_metrics[1].time_to_first_response,
expected_issues_with_metrics[1].time_to_first_response,
)
self.assertEqual(
result_issues_with_metrics[1].time_to_close,
expected_issues_with_metrics[1].time_to_close,
)
class TestDiscussionMetrics(unittest.TestCase):
"""Test suite for the discussion_metrics function."""
def setUp(self):
# Mock a discussion dictionary
self.issue1 = {
"title": "Issue 1",
"url": "github.com/user/repo/issues/1",
"user": {
"login": "alice",
},
"createdAt": "2023-01-01T00:00:00Z",
"comments": {
"nodes": [
{
"createdAt": "2023-01-02T00:00:00Z",
}
]
},
"answerChosenAt": "2023-01-04T00:00:00Z",
"closedAt": "2023-01-05T00:00:00Z",
}
self.issue2 = {
"title": "Issue 2",
"url": "github.com/user/repo/issues/2",
"user": {
"login": "bob",
},
"createdAt": "2023-01-01T00:00:00Z",
"comments": {"nodes": [{"createdAt": "2023-01-03T00:00:00Z"}]},
"answerChosenAt": "2023-01-05T00:00:00Z",
"closedAt": "2023-01-07T00:00:00Z",
}
def test_get_per_issue_metrics_with_discussion(self):
"""
Test that the function correctly calculates
the metrics for a list of GitHub issues with discussions.
"""
issues = [self.issue1, self.issue2]
metrics = get_per_issue_metrics(issues, discussions=True)
# get_per_issue_metrics returns a tuple of
# (issues_with_metrics, num_issues_open, num_issues_closed)
self.assertEqual(len(metrics), 3)
# Check that the metrics are correct, 0 issues open, 2 issues closed
self.assertEqual(metrics[1], 0)
self.assertEqual(metrics[2], 2)
# Check that the issues_with_metrics has 2 issues in it
self.assertEqual(len(metrics[0]), 2)
# Check that the issues_with_metrics has the correct metrics,
self.assertEqual(metrics[0][0].time_to_answer, timedelta(days=3))
self.assertEqual(metrics[0][0].time_to_close, timedelta(days=4))
self.assertEqual(metrics[0][0].time_to_first_response, timedelta(days=1))
self.assertEqual(metrics[0][1].time_to_answer, timedelta(days=4))
self.assertEqual(metrics[0][1].time_to_close, timedelta(days=6))
self.assertEqual(metrics[0][1].time_to_first_response, timedelta(days=2))
if __name__ == "__main__":
unittest.main()