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json_writer.py
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json_writer.py
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"""A module for writing GitHub issue metrics to a json file.
Functions:
write_to_json(
issues_with_metrics: List[IssueWithMetrics],
average_time_to_first_response: timedelta,
average_time_to_close: timedelta,
average_time_to_answer: timedelta,
num_issues_opened: int,
num_issues_closed: int,
search_query: str,
output_file: str,
) -> str:
Write the issues with metrics to a json file.
"""
import json
import os
from datetime import timedelta
from typing import Any, List, Union
from classes import IssueWithMetrics
def write_to_json(
issues_with_metrics: Union[List[IssueWithMetrics], None],
stats_time_to_first_response: Union[dict[str, timedelta], None],
stats_time_to_close: Union[dict[str, timedelta], None],
stats_time_to_answer: Union[dict[str, timedelta], None],
stats_time_in_labels: Union[dict[str, dict[str, timedelta]], None],
num_issues_opened: Union[int, None],
num_issues_closed: Union[int, None],
num_mentor_count: Union[int, None],
search_query: str,
output_file: str,
) -> str:
"""
Write the issues with metrics to a JSON file called issue_metrics.json.
json structure is like following
{
"average_time_to_first_response": "2 days, 12:00:00",
"average_time_to_close": "5 days, 0:00:00",
"average_time_to_answer": "1 day, 0:00:00",
"num_items_opened": 2,
"num_items_closed": 1,
"num_mentor_count": 5,
"total_item_count": 2,
"issues": [
{
"title": "Issue 1",
"html_url": "https://github.com/owner/repo/issues/1",
"author": "author",
"time_to_first_response": "3 days, 0:00:00",
"time_to_close": "6 days, 0:00:00",
"time_to_answer": "None",
"label_metrics": {
"bug": "1 day, 16:24:12"
}
},
{
"title": "Issue 2",
"html_url": "https://github.com/owner/repo/issues/2",
"author": "author",
"time_to_first_response": "2 days, 0:00:00",
"time_to_close": "4 days, 0:00:00",
"time_to_answer": "1 day, 0:00:00",
"label_metrics": {
}
},
],
"search_query": "is:issue is:open repo:owner/repo"
}
"""
# Ensure issues_with_metrics is not None
if not issues_with_metrics:
return ""
# time to first response
average_time_to_first_response = None
med_time_to_first_response = None
p90_time_to_first_response = None
if stats_time_to_first_response is not None:
average_time_to_first_response = stats_time_to_first_response["avg"]
med_time_to_first_response = stats_time_to_first_response["med"]
p90_time_to_first_response = stats_time_to_first_response["90p"]
# time to close
average_time_to_close = None
med_time_to_close = None
p90_time_to_close = None
if stats_time_to_close is not None:
average_time_to_close = stats_time_to_close["avg"]
med_time_to_close = stats_time_to_close["med"]
p90_time_to_close = stats_time_to_close["90p"]
# time to answer
average_time_to_answer = None
med_time_to_answer = None
p90_time_to_answer = None
if stats_time_to_answer is not None:
average_time_to_answer = stats_time_to_answer["avg"]
med_time_to_answer = stats_time_to_answer["med"]
p90_time_to_answer = stats_time_to_answer["90p"]
average_time_in_labels = {}
med_time_in_labels = {}
p90_time_in_labels = {}
if stats_time_in_labels is not None:
for label, time in stats_time_in_labels["avg"].items():
average_time_in_labels[label] = str(time)
for label, time in stats_time_in_labels["med"].items():
med_time_in_labels[label] = str(time)
for label, time in stats_time_in_labels["90p"].items():
p90_time_in_labels[label] = str(time)
# Create a dictionary with the metrics
metrics: dict[str, Any] = {
"average_time_to_first_response": str(average_time_to_first_response),
"average_time_to_close": str(average_time_to_close),
"average_time_to_answer": str(average_time_to_answer),
"average_time_in_labels": average_time_in_labels,
"median_time_to_first_response": str(med_time_to_first_response),
"median_time_to_close": str(med_time_to_close),
"median_time_to_answer": str(med_time_to_answer),
"median_time_in_labels": med_time_in_labels,
"90_percentile_time_to_first_response": str(p90_time_to_first_response),
"90_percentile_time_to_close": str(p90_time_to_close),
"90_percentile_time_to_answer": str(p90_time_to_answer),
"90_percentile_time_in_labels": p90_time_in_labels,
"num_items_opened": num_issues_opened,
"num_items_closed": num_issues_closed,
"num_mentor_count": num_mentor_count,
"total_item_count": len(issues_with_metrics),
}
# Create a list of dictionaries with the issues and metrics
issues = []
for issue in issues_with_metrics:
formatted_label_metrics = {}
if issue.label_metrics:
for label, time in issue.label_metrics.items():
formatted_label_metrics[label] = str(time)
issues.append(
{
"title": issue.title,
"html_url": issue.html_url,
"author": issue.author,
"time_to_first_response": str(issue.time_to_first_response),
"time_to_close": str(issue.time_to_close),
"time_to_answer": str(issue.time_to_answer),
"label_metrics": formatted_label_metrics,
}
)
# Add the issues to the metrics dictionary
metrics["issues"] = issues
# Add the search query to the metrics dictionary
metrics["search_query"] = search_query
# add output to github action output
# pylint: disable=unspecified-encoding
metrics_json = json.dumps(metrics)
if os.environ.get("GITHUB_OUTPUT"):
with open(os.environ["GITHUB_OUTPUT"], "a") as file_handle:
print(f"metrics={metrics_json}", file=file_handle)
# Write the metrics to a JSON file
output_file_name = output_file if output_file else "issue_metrics.json"
with open(output_file_name, "w", encoding="utf-8") as file:
json.dump(metrics, file, indent=4)
return metrics_json