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test_markdown_writer.py
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test_markdown_writer.py
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"""A module containing unit tests for the write_to_markdown function in the markdown_writer module.
Classes:
TestWriteToMarkdown: A class to test the write_to_markdown function with mock data.
TestWriteToMarkdownWithEnv: A class to test the write_to_markdown function with
environment variables set.
"""
import os
import unittest
from datetime import timedelta
from unittest.mock import call, mock_open, patch
from classes import IssueWithMetrics
from markdown_writer import write_to_markdown
@patch.dict(
os.environ,
{
"SEARCH_QUERY": "is:open repo:user/repo",
"GH_TOKEN": "test_token",
"DRAFT_PR_TRACKING": "True",
},
)
class TestWriteToMarkdown(unittest.TestCase):
"""Test the write_to_markdown function."""
maxDiff = None
def test_write_to_markdown(self):
"""Test that write_to_markdown writes the correct markdown file.
This test creates a list of mock GitHub issues with time to first response
attributes, calls write_to_markdown with the list and the average time to
first response, time to close and checks that the function writes the correct
markdown file.
"""
# Create mock data
issues_with_metrics = [
IssueWithMetrics(
title="Issue 1",
html_url="https://github.com/user/repo/issues/1",
author="alice",
time_to_first_response=timedelta(days=1),
time_to_close=timedelta(days=2),
time_to_answer=timedelta(days=3),
time_in_draft=timedelta(days=1),
labels_metrics={"bug": timedelta(days=4)},
),
IssueWithMetrics(
title="Issue 2\r",
html_url="https://github.com/user/repo/issues/2",
author="bob",
time_to_first_response=timedelta(days=3),
time_to_close=timedelta(days=4),
time_to_answer=timedelta(days=5),
time_in_draft=timedelta(days=1),
labels_metrics={"bug": timedelta(days=2)},
),
]
time_to_first_response = {
"avg": timedelta(days=2),
"med": timedelta(days=2),
"90p": timedelta(days=2),
}
time_to_close = {
"avg": timedelta(days=3),
"med": timedelta(days=3),
"90p": timedelta(days=3),
}
time_to_answer = {
"avg": timedelta(days=4),
"med": timedelta(days=4),
"90p": timedelta(days=4),
}
time_in_draft = {
"avg": timedelta(days=1),
"med": timedelta(days=1),
"90p": timedelta(days=1),
}
time_in_labels = {
"avg": {"bug": "1 day, 12:00:00"},
"med": {"bug": "1 day, 12:00:00"},
"90p": {"bug": "1 day, 12:00:00"},
}
num_issues_opened = 2
num_issues_closed = 1
num_mentor_count = 5
# Call the function
write_to_markdown(
issues_with_metrics=issues_with_metrics,
average_time_to_first_response=time_to_first_response,
average_time_to_close=time_to_close,
average_time_to_answer=time_to_answer,
average_time_in_draft=time_in_draft,
average_time_in_labels=time_in_labels,
num_issues_opened=num_issues_opened,
num_issues_closed=num_issues_closed,
num_mentor_count=num_mentor_count,
labels=["bug"],
search_query="is:issue is:open label:bug",
report_title="Issue Metrics",
output_file="issue_metrics.md",
ghe="",
)
# Check that the function writes the correct markdown file
with open("issue_metrics.md", "r", encoding="utf-8") as file:
content = file.read()
expected_content = (
"# Issue Metrics\n\n"
"| Metric | Average | Median | 90th percentile |\n"
"| --- | --- | --- | ---: |\n"
"| Time to first response | 2 days, 0:00:00 | 2 days, 0:00:00 | 2 days, 0:00:00 |\n"
"| Time to close | 3 days, 0:00:00 | 3 days, 0:00:00 | 3 days, 0:00:00 |\n"
"| Time to answer | 4 days, 0:00:00 | 4 days, 0:00:00 | 4 days, 0:00:00 |\n"
"| Time in draft | 1 day, 0:00:00 | 1 day, 0:00:00 | 1 day, 0:00:00 |\n"
"| Time spent in bug | 1 day, 12:00:00 | 1 day, 12:00:00 | 1 day, 12:00:00 |\n"
"\n"
"| Metric | Count |\n"
"| --- | ---: |\n"
"| Number of items that remain open | 2 |\n"
"| Number of items closed | 1 |\n"
"| Number of most active mentors | 5 |\n"
"| Total number of items created | 2 |\n\n"
"| Title | URL | Author | Time to first response | Time to close |"
" Time to answer | Time in draft | Time spent in bug |\n"
"| --- | --- | --- | --- | --- | --- | --- | --- |\n"
"| Issue 1 | https://github.com/user/repo/issues/1 | [alice](https://github.com/alice) | 1 day, 0:00:00 | "
"2 days, 0:00:00 | 3 days, 0:00:00 | 1 day, 0:00:00 | 4 days, 0:00:00 |\n"
"| Issue 2 | https://github.com/user/repo/issues/2 | [bob](https://github.com/bob) | 3 days, 0:00:00 | "
"4 days, 0:00:00 | 5 days, 0:00:00 | 1 day, 0:00:00 | 2 days, 0:00:00 |\n\n"
"_This report was generated with the [Issue Metrics Action](https://github.com/github/issue-metrics)_\n"
"Search query used to find these items: `is:issue is:open label:bug`\n"
)
self.assertEqual(content, expected_content)
os.remove("issue_metrics.md")
def test_write_to_markdown_with_vertical_bar_in_title(self):
"""Test that write_to_markdown writes the correct markdown file when the title contains a vertical bar.
This test creates a list of mock GitHub issues (one of which contains a vertical
bar in the title) with time to first response attributes, calls write_to_markdown
with the list and the average time to first response, time to close and checks
that the function writes the correct markdown file.
"""
# Create mock data
issues_with_metrics = [
IssueWithMetrics(
title="Issue 1",
html_url="https://github.com/user/repo/issues/1",
author="alice",
time_to_first_response=timedelta(days=1),
time_to_close=timedelta(days=2),
time_to_answer=timedelta(days=3),
time_in_draft=timedelta(days=1),
labels_metrics={"bug": timedelta(days=1)},
),
IssueWithMetrics(
title="feat| Issue 2", # title contains a vertical bar
html_url="https://github.com/user/repo/issues/2",
author="bob",
time_to_first_response=timedelta(days=3),
time_to_close=timedelta(days=4),
time_to_answer=timedelta(days=5),
labels_metrics={"bug": timedelta(days=2)},
),
]
average_time_to_first_response = {
"avg": timedelta(days=2),
"med": timedelta(days=2),
"90p": timedelta(days=2),
}
average_time_to_close = {
"avg": timedelta(days=3),
"med": timedelta(days=3),
"90p": timedelta(days=3),
}
average_time_to_answer = {
"avg": timedelta(days=4),
"med": timedelta(days=4),
"90p": timedelta(days=4),
}
average_time_in_draft = {
"avg": timedelta(days=1),
"med": timedelta(days=1),
"90p": timedelta(days=1),
}
average_time_in_labels = {
"avg": {"bug": "1 day, 12:00:00"},
"med": {"bug": "1 day, 12:00:00"},
"90p": {"bug": "1 day, 12:00:00"},
}
num_issues_opened = 2
num_issues_closed = 1
num_mentor_count = 5
# Call the function
write_to_markdown(
issues_with_metrics=issues_with_metrics,
average_time_to_first_response=average_time_to_first_response,
average_time_to_close=average_time_to_close,
average_time_to_answer=average_time_to_answer,
average_time_in_draft=average_time_in_draft,
average_time_in_labels=average_time_in_labels,
num_issues_opened=num_issues_opened,
num_issues_closed=num_issues_closed,
num_mentor_count=num_mentor_count,
labels=["bug"],
report_title="Issue Metrics",
output_file="issue_metrics.md",
)
# Check that the function writes the correct markdown file
with open("issue_metrics.md", "r", encoding="utf-8") as file:
content = file.read()
expected_content = (
"# Issue Metrics\n\n"
"| Metric | Average | Median | 90th percentile |\n"
"| --- | --- | --- | ---: |\n"
"| Time to first response | 2 days, 0:00:00 | 2 days, 0:00:00 | 2 days, 0:00:00 |\n"
"| Time to close | 3 days, 0:00:00 | 3 days, 0:00:00 | 3 days, 0:00:00 |\n"
"| Time to answer | 4 days, 0:00:00 | 4 days, 0:00:00 | 4 days, 0:00:00 |\n"
"| Time in draft | 1 day, 0:00:00 | 1 day, 0:00:00 | 1 day, 0:00:00 |\n"
"| Time spent in bug | 1 day, 12:00:00 | 1 day, 12:00:00 | 1 day, 12:00:00 |\n"
"\n"
"| Metric | Count |\n"
"| --- | ---: |\n"
"| Number of items that remain open | 2 |\n"
"| Number of items closed | 1 |\n"
"| Number of most active mentors | 5 |\n"
"| Total number of items created | 2 |\n\n"
"| Title | URL | Author | Time to first response | Time to close |"
" Time to answer | Time in draft | Time spent in bug |\n"
"| --- | --- | --- | --- | --- | --- | --- | --- |\n"
"| Issue 1 | https://github.com/user/repo/issues/1 | [alice](https://github.com/alice) | 1 day, 0:00:00 | "
"2 days, 0:00:00 | 3 days, 0:00:00 | 1 day, 0:00:00 | 1 day, 0:00:00 |\n"
"| feat| Issue 2 | https://github.com/user/repo/issues/2 | [bob](https://github.com/bob) | 3 days, 0:00:00 | "
"4 days, 0:00:00 | 5 days, 0:00:00 | None | 2 days, 0:00:00 |\n\n"
"_This report was generated with the [Issue Metrics Action](https://github.com/github/issue-metrics)_\n"
)
self.assertEqual(content, expected_content)
os.remove("issue_metrics.md")
def test_write_to_markdown_no_issues(self):
"""Test that write_to_markdown writes the correct markdown file when no issues are found."""
# Call the function with no issues
with patch("builtins.open", mock_open()) as mock_open_file:
write_to_markdown(
None,
None,
None,
None,
None,
None,
None,
None,
None,
report_title="Issue Metrics",
)
# Check that the file was written correctly
expected_output = [
"# Issue Metrics\n\n",
"no issues found for the given search criteria\n\n",
"\n_This report was generated with the [Issue Metrics Action](https://github.com/github/issue-metrics)_\n",
]
# Check that the markdown file was written with the three calls in expected output
mock_open_file.assert_has_calls(
[
call().write(expected_output[0]),
call().write(expected_output[1]),
call().write(expected_output[2]),
]
)
@patch.dict(
os.environ,
{
"SEARCH_QUERY": "is:open repo:user/repo",
"GH_TOKEN": "test_token",
"HIDE_TIME_TO_FIRST_RESPONSE": "True",
"HIDE_TIME_TO_CLOSE": "True",
"HIDE_TIME_TO_ANSWER": "True",
"HIDE_LABEL_METRICS": "True",
"NON_MENTIONING_LINKS": "True",
},
)
class TestWriteToMarkdownWithEnv(unittest.TestCase):
"""Test the write_to_markdown function with the HIDE* and NON_MENTIONING_LINKS environment variables set."""
def test_writes_markdown_file_with_non_hidden_columns_only(self):
"""
Test that write_to_markdown writes the correct
markdown file with non-hidden columns only.
"""
# Create mock data
issues_with_metrics = [
IssueWithMetrics(
title="Issue 1",
html_url="https://github.com/user/repo/issues/1",
author="alice",
time_to_first_response=timedelta(minutes=10),
time_to_close=timedelta(days=1),
time_to_answer=timedelta(hours=2),
time_in_draft=timedelta(days=1),
labels_metrics={
"label1": timedelta(days=1),
},
),
IssueWithMetrics(
title="Issue 2",
html_url="https://github.com/user/repo/issues/2",
author="bob",
time_to_first_response=timedelta(minutes=20),
time_to_close=timedelta(days=2),
time_to_answer=timedelta(hours=4),
labels_metrics={
"label1": timedelta(days=1),
},
),
]
average_time_to_first_response = timedelta(minutes=15)
average_time_to_close = timedelta(days=1.5)
average_time_to_answer = timedelta(hours=3)
average_time_in_draft = timedelta(days=1)
average_time_in_labels = {
"label1": timedelta(days=1),
}
num_issues_opened = 2
num_issues_closed = 2
num_mentor_count = 5
# Call the function
write_to_markdown(
issues_with_metrics=issues_with_metrics,
average_time_to_first_response=average_time_to_first_response,
average_time_to_close=average_time_to_close,
average_time_to_answer=average_time_to_answer,
average_time_in_labels=average_time_in_labels,
average_time_in_draft=average_time_in_draft,
num_issues_opened=num_issues_opened,
num_issues_closed=num_issues_closed,
num_mentor_count=num_mentor_count,
labels=["label1"],
search_query="repo:user/repo is:issue",
hide_label_metrics=True,
hide_items_closed_count=True,
non_mentioning_links=True,
report_title="Issue Metrics",
output_file="issue_metrics.md",
)
# Check that the function writes the correct markdown file
with open("issue_metrics.md", "r", encoding="utf-8") as file:
content = file.read()
expected_content = (
"# Issue Metrics\n\n"
"| Metric | Count |\n"
"| --- | ---: |\n"
"| Number of items that remain open | 2 |\n"
"| Number of most active mentors | 5 |\n"
"| Total number of items created | 2 |\n\n"
"| Title | URL | Author |\n"
"| --- | --- | --- |\n"
"| Issue 1 | https://www.github.com/user/repo/issues/1 | [alice](https://github.com/alice) |\n"
"| Issue 2 | https://www.github.com/user/repo/issues/2 | [bob](https://github.com/bob) |\n\n"
"_This report was generated with the [Issue Metrics Action](https://github.com/github/issue-metrics)_\n"
"Search query used to find these items: `repo:user/repo is:issue`\n"
)
self.assertEqual(content, expected_content)
os.remove("issue_metrics.md")