Use prefect to orchestrate workflows to check functionality on a live test repo

[abuzarmahmood]

Test all combinations of workflows triggered in response_agent.py

Start with list of triggers and construct steps to test all triggered processes

[abuzarmahmood]

Summary of Suggestions and Changes

1. File Identification and Description:

   • File: /home/exouser/Desktop/blech_github_bot/src/repos/abuzarmahmood/blech_github_bot/src/response_agent.py
   • Description: This file contains the logic for generating responses to GitHub issues using various triggers. It includes functions for checking triggers, generating responses, and processing issues.

2. Plan to Address the Issues:

   • Integrate Prefect tasks for each main function that handles different response types.
   • Create a Prefect flow that orchestrates these tasks based on the triggers identified in the check_triggers function.
   • Ensure that all combinations of workflows are tested by constructing steps that simulate different trigger conditions.

3. Specific Changes Suggested:

   • Integrate Prefect Tasks for Response Functions:

     • Lines: Around 0347, 0432, 0542
     • Description: Convert the functions generate_feedback_response, generate_new_response, and generate_edit_command_response into Prefect tasks.
     • Code Snippet:

       from prefect import task
       
       @task
       def generate_feedback_response(issue: Issue, repo_name: str, max_turns: int = 20) -> Tuple[str, list]:
           # Existing code...
       
       @task
       def generate_new_response(issue: Issue, repo_name: str) -> Tuple[str, list]:
           # Existing code...
       
       @task
       def generate_edit_command_response(issue: Issue, repo_name: str, summarized_comments: str = '') -> Tuple[str, list]:
           # Existing code...

   • Create Prefect Flow for Orchestrating Tasks:

     • Lines: After line 1263
     • Description: Add a Prefect flow to orchestrate the tasks based on the triggers.
     • Code Snippet:

       from prefect import Flow
       
       with Flow("GitHub Issue Response Flow") as flow:
           for repo_name in tracked_repos:
               issue_or_pr = get_issues_or_prs(repo_name)  # Assume this function gets issues or PRs
               trigger = check_triggers(issue_or_pr)
               if trigger == "feedback":
                   generate_feedback_response(issue_or_pr, repo_name)
               elif trigger == "generate_edit_command":
                   generate_edit_command_response(issue_or_pr, repo_name)
               elif trigger == "new_response":
                   generate_new_response(issue_or_pr, repo_name)
       
       flow.run()

   • Simulate Different Trigger Conditions:

     • Lines: Modify process_issue function around line 0986
     • Description: Add logic to simulate different trigger conditions for testing.
     • Code Snippet:

       def simulate_triggers(issue_or_pr):
           # Simulate different trigger conditions
           triggers = ["feedback", "generate_edit_command", "new_response"]
           for trigger in triggers:
               response_func = response_selector(trigger)
               if response_func:
                   response_func(issue_or_pr, repo_name)

These changes aim to orchestrate and test all combinations of workflows using Prefect, ensuring that the bot responds correctly to different triggers.

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This response was automatically generated by blech_bot using model gpt-4o

[abuzarmahmood]

[ develop_issue ]

[abuzarmahmood]

Created pull request: #164
Continue discussion there.

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This response was automatically generated by blech_bot using model gpt-4o