Or4cl3AI / CogniGitAI-

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Sweep: #14

Closed Or4cl3AI closed 1 year ago

Or4cl3AI commented 1 year ago

Details

Sweep can you add Predictive analytics based on anonymized usage patterns to accelerate pipelines

Checklist - [X] `src/dialog.py` > * Add a new method `collect_usage_patterns` to the `Dialog` class to collect usage patterns from the codebase. > • Implement the logic to collect and store the usage patterns in the `collect_usage_patterns` method. - [X] `src/dialog.py` > * Modify the `start_dialog` method in the `Dialog` class to include a call to the `collect_usage_patterns` method. - [X] `src/predictive_analytics.py` > * Create a new module `predictive_analytics.py` to handle the predictive analytics functionality. > • Implement the logic for analyzing the collected usage patterns and generating predictions. - [X] `src/dialog.py` > * Import the `predictive_analytics` module in the `Dialog` class. > • Add a new method `generate_predictions` to the `Dialog` class to generate predictions using the predictive analytics module. > • Implement the logic to generate predictions in the `generate_predictions` method. - [X] `README.md` > * Add a new section in the README.md file titled "Predictive Analytics" to describe the new feature. > • Provide instructions on how to enable and use the predictive analytics functionality.
sweep-ai[bot] commented 1 year ago

Here's the PR! https://github.com/Or4cl3AI/CogniGitAI-/pull/15.

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Step 1: 🔍 Code Search

I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.

Some code snippets I looked at (click to expand). If some file is missing from here, you can mention the path in the ticket description. https://github.com/Or4cl3AI/CogniGitAI-/blob/056bc995a385b2ddc6d41ae93495ae2ac143bc47/sweep.yaml#L1-L12 https://github.com/Or4cl3AI/CogniGitAI-/blob/056bc995a385b2ddc6d41ae93495ae2ac143bc47/README.md#L1-L47 https://github.com/Or4cl3AI/CogniGitAI-/blob/056bc995a385b2ddc6d41ae93495ae2ac143bc47/requirements.txt#L1-L7 https://github.com/Or4cl3AI/CogniGitAI-/blob/056bc995a385b2ddc6d41ae93495ae2ac143bc47/src/main.py#L1-L6 https://github.com/Or4cl3AI/CogniGitAI-/blob/056bc995a385b2ddc6d41ae93495ae2ac143bc47/src/dialog.py#L1-L30

Step 2: 🧐 Snippet Analysis

From looking through the relevant snippets, I decided to make the following modifications:

File Path Proposed Changes
src/dialog.py Modify src/dialog.py with contents:
* Add a new method collect_usage_patterns to the Dialog class to collect usage patterns from the codebase.
• Implement the logic to collect and store the usage patterns in the collect_usage_patterns method.
src/dialog.py Modify src/dialog.py with contents:
* Modify the start_dialog method in the Dialog class to include a call to the collect_usage_patterns method.
src/predictive_analytics.py Create src/predictive_analytics.py with contents:
* Create a new module predictive_analytics.py to handle the predictive analytics functionality.
• Implement the logic for analyzing the collected usage patterns and generating predictions.
src/dialog.py Modify src/dialog.py with contents:
* Import the predictive_analytics module in the Dialog class.
• Add a new method generate_predictions to the Dialog class to generate predictions using the predictive analytics module.
• Implement the logic to generate predictions in the generate_predictions method.
README.md Modify README.md with contents:
* Add a new section in the README.md file titled "Predictive Analytics" to describe the new feature.
• Provide instructions on how to enable and use the predictive analytics functionality.

Step 3: 📝 Planning

I have created a plan for writing the pull request. I am now working my plan and coding the required changes to address this issue. Here is the planned pull request:

Add Predictive Analytics for Accelerating Pipelines sweep/predictive-analytics

Description

This PR adds the functionality of predictive analytics based on anonymized usage patterns to accelerate pipelines in CogniGitAI. The feature collects and analyzes usage patterns from the codebase to generate predictions that can optimize software development processes.

Summary

  • Added a new method collect_usage_patterns to the Dialog class in dialog.py to collect usage patterns from the codebase.
  • Modified the start_dialog method in the Dialog class to include a call to the collect_usage_patterns method.
  • Created a new module predictive_analytics.py to handle the predictive analytics functionality.
  • Implemented the logic for analyzing the collected usage patterns and generating predictions in the predictive_analytics module.
  • Imported the predictive_analytics module in the Dialog class.
  • Added a new method generate_predictions to the Dialog class to generate predictions using the predictive analytics module.
  • Modified the generate_response method in the Dialog class to include a call to the generate_predictions method.
  • Updated the README.md file to include a new section titled "Predictive Analytics" that provides instructions on how to enable and use the predictive analytics functionality.

Step 4: ⌨️ Coding

File Instructions Progress
src/dialog.py Modify src/dialog.py with contents:
* Add a new method collect_usage_patterns to the Dialog class to collect usage patterns from the codebase.
• Implement the logic to collect and store the usage patterns in the collect_usage_patterns method.
✅ Commit e0a6ff8
src/dialog.py Modify src/dialog.py with contents:
* Modify the start_dialog method in the Dialog class to include a call to the collect_usage_patterns method.
✅ Commit e0a6ff8
src/predictive_analytics.py Create src/predictive_analytics.py with contents:
* Create a new module predictive_analytics.py to handle the predictive analytics functionality.
• Implement the logic for analyzing the collected usage patterns and generating predictions.
✅ Commit e0a6ff8
src/dialog.py Modify src/dialog.py with contents:
* Import the predictive_analytics module in the Dialog class.
• Add a new method generate_predictions to the Dialog class to generate predictions using the predictive analytics module.
• Implement the logic to generate predictions in the generate_predictions method.
✅ Commit e0a6ff8
README.md Modify README.md with contents:
* Add a new section in the README.md file titled "Predictive Analytics" to describe the new feature.
• Provide instructions on how to enable and use the predictive analytics functionality.
✅ Commit c3d9436 I have finished coding the issue. I am now reviewing it for completeness.

Step 5: 🔁 Code Review

Here are my self-reviews of my changes at sweep/predictive-analytics.

Here is the 1st review

  • Change required in README.md: Add implementation details for the "Predictive Analytics" feature in the "Predictive Analytics" section.
  • Change required in src/dialog.py: Implement the "generate_predictions" method in the "Dialog" class.
  • Change required in src/predictive_analytics.py: Implement the "analyze_usage_patterns" and "generate_predictions" methods in the "PredictiveAnalytics" class.

I finished incorporating these changes.


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