Repository: github/issue-metrics (python)

Issue:
Prevent a big report to fail creating the issue
### Is your feature request related to a problem?

Issue creation API has a limit of 65536 characters. Whenever the report is longer, the action fails with the following error:

`Error: Validation Failed: {"resource":"Issue","code":"custom","field":"body","message":"body is too long (maximum is 65536 characters)"}`

This might happen easily when the amount of analyzed PRs is over ~300. 

### Describe the solution you'd like

I would like the action to validate the size of the report before submission, splitting the extra details into multiple comments if necessary (or just create the issue with whatever it fits) without failure.

### Describe alternatives you've considered

Alternatively, the action could support a config flag to include in the report only the first two tables with the basic stats, so all the details of each single PR are not reported.

### Additional context

Thanks!

Pull request:
feat: Split markdown files when larger than max issue body size
# Pull Request
<!-- 
PR title needs to be prefixed with a conventional commit type
(build,chore,ci,docs,feat,fix,perf,refactor,revert,style,test)

It should also be brief and descriptive for a good changelog entry

examples: "feat: add new logger" or "fix: remove unused imports"
-->
fixes #258 

## Proposed Changes
<!-- Describe what the changes are and link to a GitHub Issue if one exists -->
This pull request introduces changes to handle large `issue_metrics.md` files that exceed GitHub's maximum issue body character limit. The changes include splitting large markdown files into smaller ones, adding new helper functions to handle these operations, and updating the `README.md` with a link to a new document explaining how to deal with large markdown files.

## Readiness Checklist

### Author/Contributor

- [x] If documentation is needed for this change, has that been included in this pull request
- [x] run `make lint` and fix any issues that you have introduced
- [x] run `make test` and ensure you have test coverage for the lines you are introducing

### Reviewer

- [x] Label as either `fix`, `documentation`, `enhancement`, `infrastructure`, `maintenance`, or `breaking`


Patch:
diff --git a/.github/linters/.flake8 b/.github/linters/.flake8
index 1aaf829..de0917a 100644
--- a/.github/linters/.flake8
+++ b/.github/linters/.flake8
@@ -1,5 +1,5 @@
 [flake8]
 exclude = venv,.venv,.git,__pycache__
-extend-ignore = C901
+extend-ignore = C901, E203
 max-line-length = 150
 statistics = True
diff --git a/.gitignore b/.gitignore
index 5aab725..4f454b1 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,5 +1,5 @@
 # Output files
-issue_metrics.md
+issue_metrics*.md
 issue_metrics.json
 
 # Byte-compiled / optimized / DLL files
diff --git a/README.md b/README.md
index 801ea85..c6b7ea9 100644
--- a/README.md
+++ b/README.md
@@ -161,6 +161,7 @@ This action can be configured to authenticate with GitHub App Installation or Pe
 - [Configuring the `SEARCH_QUERY`](./docs/search-query.md)
 - [Local usage without Docker](./docs/local-usage-without-docker.md)
 - [Authenticating with GitHub App Installation](./docs/authenticating-with-github-app-installation.md)
+- [Dealing with large issue_metrics.md files](./docs/dealing-with-large-issue-metrics.md)
 
 ## Contributions
 
diff --git a/docs/dealing-with-large-issue-metrics.md b/docs/dealing-with-large-issue-metrics.md
new file mode 100644
index 0000000..c2247f6
--- /dev/null
+++ b/docs/dealing-with-large-issue-metrics.md
@@ -0,0 +1,17 @@
+# Dealing with large issue metrics Markdown files
+
+When working with lots of issues/pull requests/discussion results, the resulting issue_metrics.md file can become very large. This can cause the GitHub API to return an error when trying to create an issue with the contents of the file.
+
+```shell
+Pull request creation failed. Validation failed: Body is too long (maximum is 65536 characters)
+```
+
+To work around this limitation, the issue-metrics action detects the large file size and splits the issue_metrics.md file into smaller files. So instead of issue_metrics.md, you will get issue_metrics_0.md, issue_metrics_1.md, etc.
+Since we don't want the action to fail, it has been designed to have the same name as usual for the first split file (issue_metrics.md) and then append a number to the name for the subsequent split files.
+
+You can choose one of the following strategies to deal with the split files:
+- Create multiple issues, each with using the next split file in the sequence.
+- Upload the full file as an artifact and link to it in the issue body.
+- Create an issue and put the content of the split files as issue comments.
+
+JSON output files are not split since its not anticipated that you use them as issue body content.
diff --git a/issue_metrics.py b/issue_metrics.py
index ef79e51..ec85210 100644
--- a/issue_metrics.py
+++ b/issue_metrics.py
@@ -20,6 +20,7 @@ Functions:
     main(): Run the issue-metrics script.
 """
 
+import shutil
 import sys
 from typing import List, Union
 
@@ -30,6 +31,7 @@ from config import EnvVars, get_env_vars
 from discussions import get_discussions
 from json_writer import write_to_json
 from labels import get_label_metrics, get_stats_time_in_labels
+from markdown_helpers import markdown_too_large_for_issue_body, split_markdown_file
 from markdown_writer import write_to_markdown
 from most_active_mentors import count_comments_per_user, get_mentor_count
 from time_to_answer import get_stats_time_to_answer, measure_time_to_answer
@@ -364,6 +366,7 @@ def main():
         num_mentor_count,
         search_query,
     )
+
     write_to_markdown(
         issues_with_metrics,
         stats_time_to_first_response,
@@ -377,6 +380,18 @@ def main():
         search_query,
     )
 
+    max_char_count = 65535
+    if markdown_too_large_for_issue_body("issue_metrics.md", max_char_count):
+        split_markdown_file("issue_metrics.md", max_char_count)
+        shutil.move("issue_metrics.md", "issue_metrics_full.md")
+        shutil.move("issue_metrics_0.md", "issue_metrics.md")
+        print(
+            "Issue metrics markdown file is too large for GitHub issue body and has been \
+            split into multiple files. ie. issue_metrics.md, issue_metrics_1.md, etc. \
+            The full file is saved as issue_metrics_full.md\n\
+            See https://github.com/github/issue-metrics/blob/main/docs/dealing-with-large-issue-metrics.md"
+        )
+
 
 if __name__ == "__main__":
     main()
diff --git a/markdown_helpers.py b/markdown_helpers.py
new file mode 100644
index 0000000..8faf39a
--- /dev/null
+++ b/markdown_helpers.py
@@ -0,0 +1,38 @@
+""" Helper functions for working with markdown files. """
+
+
+def markdown_too_large_for_issue_body(file_path: str, max_char_count: int) -> bool:
+    """
+    Check if the markdown file is too large to fit into a github issue.
+
+    Inputs:
+    file_path: str - the path to the markdown file to check
+    max_char_count: int - the maximum number of characters allowed in a github issue body
+
+    Returns:
+    bool - True if the file is too large, False otherwise
+
+    """
+    with open(file_path, "r", encoding="utf-8") as file:
+        file_contents = file.read()
+        return len(file_contents) > max_char_count
+
+
+def split_markdown_file(file_path: str, max_char_count: int) -> None:
+    """
+    Split the markdown file into smaller files.
+
+    Inputs:
+    file_path: str - the path to the markdown file to split
+    max_char_count: int - the maximum number of characters allowed before splitting markdown file
+
+    """
+    with open(file_path, "r", encoding="utf-8") as file:
+        file_contents = file.read()
+        contents_list = [
+            file_contents[i : i + max_char_count]
+            for i in range(0, len(file_contents), max_char_count)
+        ]
+        for i, content in enumerate(contents_list):
+            with open(f"{file_path[:-3]}_{i}.md", "w", encoding="utf-8") as new_file:
+                new_file.write(content)


Test patch:
diff --git a/test_markdown_helpers.py b/test_markdown_helpers.py
new file mode 100644
index 0000000..d856a62
--- /dev/null
+++ b/test_markdown_helpers.py
@@ -0,0 +1,75 @@
+""" Unit tests for the markdown_helpers module. """
+
+import os
+import unittest
+
+from markdown_helpers import markdown_too_large_for_issue_body, split_markdown_file
+
+
+class TestMarkdownHelpers(unittest.TestCase):
+    """
+    Unit tests for the markdown_helpers module.
+    """
+
+    def test_markdown_too_large_for_issue_body(self):
+        """
+        Test the markdown_too_large_for_issue_body function.
+        """
+        # Define a sample markdown file content
+        max_char_count = 65535
+        markdown_content = "a\n" * max_char_count
+
+        # Write the markdown content to a temporary file
+        with open("temp.md", "w", encoding="utf-8") as f:
+            f.write(markdown_content)
+
+        # Call the function with the temporary file
+        result = markdown_too_large_for_issue_body("temp.md", max_char_count)
+
+        # remove the temporary file
+        os.remove("temp.md")
+
+        # Assert that the function returns True
+        self.assertTrue(result)
+
+    def test_split_markdown_file(self):
+        """
+        Test the split_markdown_file function.
+        """
+
+        # Define a sample markdown file content with 4 times the maximum character count
+        multiple_of_max = 4
+        max_char_count = 65535
+        repeated_content = "a\n"
+        markdown_content = repeated_content * int(
+            (max_char_count * multiple_of_max) / len(repeated_content)
+        )
+
+        # Write the markdown content to a temporary file
+        with open("temp.md", "w", encoding="utf-8") as f:
+            f.write(markdown_content)
+
+        # Call the function with the temporary file
+        split_markdown_file("temp.md", max_char_count)
+
+        # Assert that the function creates two files
+        self.assertTrue(os.path.exists("temp_0.md"))
+        self.assertTrue(os.path.exists("temp_1.md"))
+        self.assertTrue(os.path.exists("temp_2.md"))
+        self.assertTrue(os.path.exists("temp_3.md"))
+
+        # Assert that the all files have less than max characters
+        for i in range(0, multiple_of_max):
+            with open(f"temp_{i}.md", "r", encoding="utf-8") as f:
+                self.assertLessEqual(len(f.read()), max_char_count)
+
+        # remove the temporary files
+        os.remove("temp.md")
+        os.remove("temp_0.md")
+        os.remove("temp_1.md")
+        os.remove("temp_2.md")
+        os.remove("temp_3.md")
+
+
+if __name__ == "__main__":
+    unittest.main()