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@chandrapratamar chandrapratamar commented Nov 9, 2025

Implement PackageManager class that translates natural language into package manager commands (apt/yum/dnf).

Resolved #7

Features:

  • Natural language parsing with keyword-based matching
  • Support for 32 software categories (exceeds 20+ requirement)
  • Multi-package manager support (apt, yum, dnf) with auto-detection
  • Handles package name variations across different package managers
  • Comprehensive error handling and validation
  • 43 unit tests covering all functionality

Implementation:

  • cortex/packages.py: Main PackageManager class with knowledge base
  • test_packages.py: Comprehensive unit test suite (43 tests)
  • cortex/README.md: User documentation with usage examples
  • cortex/SUMMARY.md: Technical documentation and architecture
  • cortex/example_usage.py: Usage examples and demonstrations
  • Updated README.md: Mark package manager wrapper as complete

The implementation uses a rule-based knowledge base to match user requests to software categories and generate appropriate package manager commands. All tests pass and the implementation meets all acceptance criteria.

Example usage:

  from cortex.packages import PackageManager
  pm = PackageManager()
  commands = pm.parse("install python with data science libraries")

Returns:

["apt update", "apt install -y python3 python3-pip ..."]

Implement PackageManager class that translates natural language into
package manager commands (apt/yum/dnf).

Features:
- Natural language parsing with keyword-based matching
- Support for 32 software categories (exceeds 20+ requirement)
- Multi-package manager support (apt, yum, dnf) with auto-detection
- Handles package name variations across different package managers
- Comprehensive error handling and validation
- 43 unit tests covering all functionality

Implementation:
- cortex/packages.py: Main PackageManager class with knowledge base
- test_packages.py: Comprehensive unit test suite (43 tests)
- cortex/README.md: User documentation with usage examples
- cortex/SUMMARY.md: Technical documentation and architecture
- cortex/example_usage.py: Usage examples and demonstrations
- Updated README.md: Mark package manager wrapper as complete

The implementation uses a rule-based knowledge base to match user
requests to software categories and generate appropriate package
manager commands. All tests pass and the implementation meets all
acceptance criteria.

Example usage:
  from cortex.packages import PackageManager
  pm = PackageManager()
  commands = pm.parse("install python with data science libraries")
  # Returns: ["apt update", "apt install -y python3 python3-pip ..."]
@dhvll
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dhvll commented Nov 10, 2025

@chandrapratamar can you attach video working of your implementation.

@dhvll dhvll self-requested a review November 10, 2025 14:00
@mikejmorgan-ai
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mikejmorgan-ai commented Nov 14, 2025

@chandrapratamar - Checking in on PR #17. This is our most critical feature for MVP.

What's the current status? Any blockers I can help with?

If you're stuck or unable to continue, let me know and we can discuss options. No pressure, but need to understand timeline.

@mikejmorgan-ai
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@dhvll can you take this over and finish it

@dhvll
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dhvll commented Nov 18, 2025

@mikejmorgan-ai #195

@mikejmorgan-ai
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Closing in favor of PR #195 which has a cleaner implementation. Thank you @chandrapratamar for the original work - you'll still receive the 00 bounty for your contribution.

@chandrapratamar
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Closing in favor of PR #195 which has a cleaner implementation. Thank you @chandrapratamar for the original work - you'll still receive the 00 bounty for your contribution.

Hi! Sorry for the late response, I’ve been caught up with real-life things, and I also apologize for not being able to complete the work earlier. I've DMed you on discord, my Discord display name is Sipit (tamagogogo_)

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Build intelligent apt/yum package manager wrapper

3 participants