Sweep: Create GitHub issues for all the the tasks in https://github.com/FDA-AI/FDAi/blob/develop/docs/treaty/strategy.md

docs/contributing/task-management/create-a-task.md

@@ -15,3 +15,27 @@ dateCreated: 2022-07-27T21:36:24.019Z
 3. If it already exists, click it and up-vote it as described 👉 [here](vote-on-tasks-and-sort-by-priority.md)
 4. If not, click the `New issue` button
 5. Describe in as much detail as possible and add any tags that you think will be helpful in filtering and sorting
+
+# Automating Task Creation
+
+To automate the creation of GitHub issues for tasks listed in the `docs/treaty/strategy.md` document, you can use the `create_issues_from_strategy_doc.py` script. This script allows for bulk creation of issues, which can save time when dealing with multiple tasks. However, it should be used with caution to avoid creating duplicate issues.
+
+## Prerequisites
+
+- **Python Installation**: Ensure you have Python installed on your system. You can download it from [python.org](https://www.python.org/downloads/).
+- **Necessary Python Packages**: The script requires the `requests` package. Install it using pip:
+  ```
+  pip install requests
+  ```
+- **GitHub API Token**: You need a GitHub API token with the necessary permissions to create issues in the repository. Follow the instructions on GitHub to create your token.
+
+## Running the Script
+
+1. Ensure all prerequisites are met.
+2. Navigate to the directory containing the `create_issues_from_strategy_doc.py` script.
+3. Run the script with the following command:
+  ```
+  python create_issues_from_strategy_doc.py
+  ```
+
+Remember to use this script responsibly to avoid creating duplicate issues.

scripts/jobs/create_issues_from_strategy_doc.py

@@ -0,0 +1,61 @@
+import json
+import os
+import re
+import time
+
+import requests
+
+
+def read_strategy_md(file_path):
+    with open(file_path, 'r', encoding='utf-8') as file:
+        return file.read()
+
+def parse_tasks(markdown_content):
+    tasks = []
+    task_pattern = re.compile(r'###\s(.+)\n+([\s\S]+?)(?=\n###|$)')
+    matches = task_pattern.findall(markdown_content)
+    for match in matches:
+        tasks.append({'title': match[0], 'body': match[1].strip()})
+    return tasks
+
+def create_github_issue(title, body, token, repo):
+    url = f"https://api.github.com/repos/{repo}/issues"
+    headers = {
+        "Authorization": f"token {token}",
+        "Accept": "application/vnd.github.v3+json"
+    }
+    data = {
+        "title": title,
+        "body": body
+    }
+    response = requests.post(url, headers=headers, data=json.dumps(data))
+    if response.status_code == 201:
+        print(f"Issue '{title}' created successfully.")
+    elif response.status_code == 429:
+        print("Rate limit exceeded. Waiting 60 seconds before retrying...")
+        time.sleep(60)
+        create_github_issue(title, body, token, repo)
+    elif response.status_code == 401:
+        raise Exception("Authentication failed. Check your GitHub token.")
+    else:
+        raise Exception(f"Failed to create issue '{title}': {response.content}")
+
+def main():
+    file_path = "docs/treaty/strategy.md"
+    repo = "FDA-AI/FDAi"
+    token = os.getenv("GITHUB_TOKEN")
+    if not token:
+        raise Exception("GitHub token not found. Set the GITHUB_TOKEN environment variable.")
+
+    try:
+        markdown_content = read_strategy_md(file_path)
+        tasks = parse_tasks(markdown_content)
+        for task in tasks:
+            create_github_issue(task['title'], task['body'], token, repo)
+    except FileNotFoundError:
+        print(f"File {file_path} not found.")
+    except Exception as e:
+        print(f"Error: {str(e)}")
+
+if __name__ == "__main__":
+    main()