Instead of checking comments and tags independently on every run, compare issue timeline to cached version to detect changes

[abuzarmahmood]

If change is detected, run rest of detailed trigger checks

[abuzarmahmood]

The issue at hand involves optimizing the process of checking comments and tags on GitHub issues by comparing the issue timeline to a cached version to detect changes. If changes are detected, the rest of the detailed trigger checks should be executed.

Suggestions and Changes Made:

1. Relevant Files Identified:

   • triggers.py: Contains functions to check specific conditions related to GitHub issues, such as checking for specific tags, triggers in comments, and bot responses. Modifications here could involve adding functionality to compare the issue timeline with a cached version.
   • git_utils.py: Provides utility functions for interacting with the GitHub API, including fetching issue comments and details. It would be relevant for implementing the caching mechanism and comparing timelines.

2. Plan to Address the Issues:

   • Implement a caching mechanism that stores the timeline of an issue.
   • Compare the current timeline with the cached version to detect changes.
   • If changes are detected, proceed with the detailed trigger checks.

3. Specific Changes Suggested:

   • Implement Caching Mechanism:

     • File: git_utils.py
     • Description: Implement a function to cache the timeline of an issue and compare it with the current timeline to detect changes.
     • Code Snippet:

       def cache_issue_timeline(issue: Issue, cache: Dict[int, List]) -> bool:
           """
           Cache the timeline of an issue and compare with the current timeline.
       
           Args:
               issue: The GitHub issue to check
               cache: A dictionary to store cached timelines
       
           Returns:
               True if changes are detected, False otherwise
           """
           current_timeline = list(issue.get_timeline())
           issue_number = issue.number
       
           if issue_number not in cache:
               cache[issue_number] = current_timeline
               return True
       
           cached_timeline = cache[issue_number]
           if current_timeline != cached_timeline:
               cache[issue_number] = current_timeline
               return True
       
           return False

   • Integrate Caching in Trigger Checks:

     • File: triggers.py
     • Description: Use the caching function to determine if detailed trigger checks should be executed.
     • Code Snippet:

       from git_utils import cache_issue_timeline
       
       def should_run_detailed_checks(issue: Issue, cache: Dict[int, List]) -> bool:
           """
           Determine if detailed trigger checks should be run based on timeline changes.
       
           Args:
               issue: The GitHub issue to check
               cache: A dictionary to store cached timelines
       
           Returns:
               True if detailed checks should be run, False otherwise
           """
           return cache_issue_timeline(issue, cache)

   • Update Main Execution Logic:

     • File: triggers.py
     • Description: Integrate the caching mechanism into the main execution flow to decide when to run detailed checks.
     • Code Snippet:

       def main():
           client = get_github_client()
           repo = get_repository(client, 'abuzarmahmood/blech_github_bot')
           issues = get_open_issues(repo)
           cache = {}
       
           for issue in issues:
               if should_run_detailed_checks(issue, cache):
                   # Run detailed trigger checks
                   pass

These changes aim to ensure that the system efficiently detects changes in issue timelines and only runs detailed checks when necessary, optimizing performance and resource usage.

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This response was automatically generated by blech_bot

[abuzarmahmood]

Add logic to save and load cached timeline for each issue

[abuzarmahmood]

To address the user feedback about adding logic to save and load cached timelines for each issue, we can enhance the existing caching mechanism by implementing functions to persist the cache to a file and load it back when needed. This will ensure that the cache is maintained across different runs of the script.

Suggestions and Changes Made:

1. Relevant Files Identified:

   • triggers.py: Contains functions to check specific conditions related to GitHub issues. This file will be updated to integrate the caching mechanism.
   • git_utils.py: Provides utility functions for interacting with the GitHub API. This file will be updated to include functions for saving and loading the cache.

2. Plan to Address the Issues:

   • Implement functions to save the cache to a file and load it from a file.
   • Use these functions to maintain the cache across different runs of the script.

3. Specific Changes Suggested:

   • Implement Cache Persistence:

     • File: git_utils.py
     • Description: Implement functions to save the cache to a file and load it from a file.
     • Code Snippet:

       import json
       import os
       
       CACHE_FILE = 'issue_cache.json'
       
       def save_cache_to_file(cache: Dict[int, List]) -> None:
           """Save the cache to a file."""
           with open(CACHE_FILE, 'w') as f:
               json.dump(cache, f)
       
       def load_cache_from_file() -> Dict[int, List]:
           """Load the cache from a file."""
           if os.path.exists(CACHE_FILE):
               with open(CACHE_FILE, 'r') as f:
                   return json.load(f)
           return {}

   • Integrate Cache Persistence in Trigger Checks:

     • File: triggers.py
     • Description: Use the cache persistence functions to load the cache at the start and save it at the end of the script.
     • Code Snippet:

       from git_utils import cache_issue_timeline, save_cache_to_file, load_cache_from_file
       
       def should_run_detailed_checks(issue: Issue, cache: Dict[int, List]) -> bool:
           """
           Determine if detailed trigger checks should be run based on timeline changes.
       
           Args:
               issue: The GitHub issue to check
               cache: A dictionary to store cached timelines
       
           Returns:
               True if detailed checks should be run, False otherwise
           """
           return cache_issue_timeline(issue, cache)
       
       def main():
           client = get_github_client()
           repo = get_repository(client, 'abuzarmahmood/blech_github_bot')
           issues = get_open_issues(repo)
           cache = load_cache_from_file()
       
           for issue in issues:
               if should_run_detailed_checks(issue, cache):
                   # Run detailed trigger checks
                   pass
       
           save_cache_to_file(cache)

These changes aim to ensure that the system efficiently detects changes in issue timelines and maintains the cache across different runs, optimizing performance and resource usage.

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This response was automatically generated by blech_bot

[abuzarmahmood]

[ develop_issue ]

[abuzarmahmood]

Created pull request: #81
Continue discussion there.

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This response was automatically generated by blech_bot