chore: remove comment

Author: mbani01

services/apps/git_integration/src/crowdgit/services/maintainer/maintainer_service.py

@@ -220,88 +220,6 @@ def get_extraction_prompt(self, filename: str, content_to_analyze: str) -> str:
         {content_to_analyze}
         ---
         """
-        # return f"""
-        #     You are a highly efficient AI assistant designed for one task: to quickly parse repository files and extract maintainer information into a structured JSON format. Your priority is speed and accuracy.
-
-        #     <task_rules>
-        #     1.  **Primary Goal**: Analyze the `<content_to_analyze>` and extract a list of individual maintainers. Do not extract teams or organizations.
-        #     2.  **Input Context**: You are given a `<filename>` and the file's `<content_to_analyze>`.
-        #     3.  **Output Format**: You MUST return a single JSON object and nothing else.
-        #         - On success (maintainers found): `{{"info": [list_of_maintainer_objects]}}`
-        #         - On failure (no maintainers found, or content only refers to a group): `{{"error": "not_found"}}`
-        #     </task_rules>
-
-        #     <extraction_schema>
-        #     For each individual person you find, create a JSON object with these exact fields:
-
-        #     - `github_username`: Find using common patterns like `@username`, `github.com/username`, `Name (@username)`, or from emails (`123+user@users.noreply.github.com`). If a username cannot be found in the text, use the string "unknown".
-
-        #     - `name`: The person's full name.
-
-        #     - `title`: The person's role (max two words). It must relate to ownership or maintainership (e.g., "Core Maintainer", "Lead Reviewer"), not a generic job title like "Software Engineer". Avoid filler words like 'project' or 'active'.
-
-        #     - `normalized_title`: Must be exactly "maintainer" or "contributor". If the role is ambiguous, use the `<filename>` as the primary hint. For example, a file named `MAINTAINERS` or `CODEOWNERS` implies "maintainer", while `CONTRIBUTORS` implies "contributor".
-        #     </extraction_schema>
-
-        #     <examples>
-        #     <example>
-        #     <context>
-        #     <filename>CODEOWNERS</filename>
-        #     <content_to_analyze>
-        #     # Project Lead: Jane Doe (@jane-doe-gh)
-        #     # Core Maintainer is John Smith (123+jsmith@users.noreply.github.com).
-        #     </content_to_analyze>
-        #     </context>
-        #     <expected_output>
-        #     {{
-        #     "info": [
-        #         {{
-        #         "github_username": "jane-doe-gh",
-        #         "name": "Jane Doe",
-        #         "title": "Project Lead",
-        #         "normalized_title": "maintainer"
-        #         }},
-        #         {{
-        #         "github_username": "jsmith",
-        #         "name": "John Smith",
-        #         "title": "Core Maintainer",
-        #         "normalized_title": "maintainer"
-        #         }}
-        #     ]
-        #     }}
-        #     </expected_output>
-        #     </example>
-        #     <example>
-        #     <context>
-        #     <filename>CONTRIBUTORS.md</filename>
-        #     <content_to_analyze>
-        #     Thanks to our amazing contributor, Alex Ray! Find their work on GitHub under 'alex-ray-dev'.
-        #     </content_to_analyze>
-        #     </context>
-        #     <expected_output>
-        #     {{
-        #     "info": [
-        #         {{
-        #         "github_username": "alex-ray-dev",
-        #         "name": "Alex Ray",
-        #         "title": "Contributor",
-        #         "normalized_title": "contributor"
-        #         }}
-        #     ]
-        #     }}
-        #     </expected_output>
-        #     </example>
-        #     </examples>
-
-        #     <context>
-        #     <filename>{filename}</filename>
-        #     <content_to_analyze>
-        #     {content_to_analyze}
-        #     </content_to_analyze>
-        #     </context>
-
-        #     Return only the final JSON object.
-        #     """
 
     async def analyze_file_content(self, maintainer_filename: str, content: str):
         prompt = self.get_extraction_prompt(maintainer_filename, content)