Skip to main content

Dependency Mapper CLI for managing and analyzing software dependencies across repositories.

Project description

Dependency Mapper CLI

DepMap CLI is a command-line interface tool for managing and analyzing software dependencies across repositories. It provides functionality for cloning repositories, managing actions, and running analyses.

Table of Contents

  1. Installation
  2. Configuration
  3. Initial Setup
  4. Usage
  5. Error Handling
  6. Security Considerations
  7. Troubleshooting

Installation

  1. Ensure you have Python 3.9+ installed on your system.
  2. Download the CLI zip file from:
    https://github.com/trilogy-group/central-product-tpm/edit/master/POC/cc/repo/depmap/cli/depmap.zip
    
  3. Extract the contents of the zip file to a directory of your choice.
  4. Navigate to the extracted directory:
    cd path/to/extracted/directory
    
  5. Create a virtual environment:
    python -m venv venv
    
  6. Activate the virtual environment:
    • On Windows:
      venv\Scripts\activate
      
    • On macOS and Linux:
      source venv/bin/activate
      
  7. Install the required dependencies:
    pip install -r requirements.txt
    

Configuration

Add your API authentication token to the .env file:

AUTH_TOKEN=your_auth_token_here

Initial Setup

Before using the CLI for analysis, you must set up the necessary actions:

  1. Store the dependency action:

    python cli.py action store dep -f actions/dep.json
    

    This command loads the action details from the dep.json file in the actions folder.

  2. Activate the dependency action:

    python cli.py action update dep -a True
    

    This sets the 'active' attribute of the 'dep' action to True.

Usage

The general syntax for using the DepMap CLI is:

python cli.py <command> <subcommand> [options]

Authentication

The CLI uses an authentication token stored in the .env file. Ensure this file is present and contains a valid AUTH_TOKEN before running any commands.

Clone Commands

Before running an analysis, you must first clone the target repository:

  • Clone and upload a single repository:

    python cli.py clone -l <label> -u <url>
    
  • Clone and upload multiple repositories under a single label:

    python cli.py clone -l <label> -f <file>
    

    The file should contain one repository URL per line, for example:

    https://github.com/trilogy-group/influitive-advocatehub-Influitive-Advocate
    https://github.com/trilogy-group/influitive-advocatehub-influitive
    ...
    

    The CLI will clone all repositories listed in the file and upload them together.

Examples:

  1. Clone a single repo:
   python cli.py clone -l worksmart -u https://github.com/trilogy-group/worksmart-ts
  1. Clone multiple repos at once:
    python cli.py clone -l influitive -f influitive.txt
    
    This will clone both repositories and group them under the 'influitive' label.

After cloning, you can analyze all the repositories under this label together using the analysis commands.

Action Commands

Next, you must make sure that you have at least one action defined. Actions are prompts + scaffolding that are run against the files. For the time being - only one action is defined. You will find it in the 'actions' sub folder.

  • List all actions:

    python cli.py action list [-n] [-s]
    
  • Get a specific action:

    python cli.py action get <action> [-q <query>]
    
  • Store a new action:

    python cli.py action store <action> <prompt> <include> <schema> [-a] [-f <file>]
    
  • Update an action:

    python cli.py action update <action> [-p <prompt>] [-i <include>] [-s <schema>] [-a <active>]
    
  • Delete an action:

    python cli.py action delete <action>
    
  • Delete all actions:

    python cli.py action delete_all
    
  • Add actions from a directory:

    python cli.py action add_all [-d <directory>]
    

Analysis Commands

start

Starts a new analysis for the specified label using the given model.

  • -l, --label: Required. Label for the analysis.
  • -m, --model: Model to use for analysis (default: "haiku").
  • -p, --poll: Optional. Poll until the analysis is complete.

status

Retrieves the status of an ongoing or completed analysis.

  • -l, --label: Required. Label of the analysis to check.

get

Retrieves the results of a completed analysis.

  • -l, --label: Required. Label of the analysis.
  • -d, --details: Optional. Include detailed results.
  • -c, --combine: Optional. Combine all dependencies into a single list.
  • -f, --file: Optional. Specific file to retrieve results for.
  • -a, --action: Optional. Specific action to retrieve results for.

delete

Deletes the results of an analysis.

  • -l, --label: Required. Label of the analysis to delete.
  • -a, --action: Optional. Specific action to delete results for.

Error Handling

The CLI provides detailed error messages for various scenarios:

  • HTTP errors (e.g., 401 Unauthorized)
  • Network connectivity issues
  • Invalid input parameters
  • File I/O errors

If you encounter an error, the CLI will display a message describing the issue.

Security Considerations

  • The authentication token is stored in a .env file, which should be kept secure and not shared or committed to version control.
  • All API requests are made over HTTPS, ensuring that data (including headers) is encrypted in transit.
  • Avoid logging or displaying the authentication token in any output.

Troubleshooting

  1. Authentication Issues: Ensure your AUTH_TOKEN in the .env file is correct and up to date.
  2. Network Problems: Check your internet connection and verify that you can reach the API endpoint.
  3. Invalid Commands: Double-check the command syntax and required parameters.
  4. File Permissions: Ensure you have the necessary permissions to read/write files in the working directory.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dpmap-0.0.4.tar.gz (12.6 kB view details)

Uploaded Source

Built Distribution

dpmap-0.0.4-py3-none-any.whl (12.1 kB view details)

Uploaded Python 3

File details

Details for the file dpmap-0.0.4.tar.gz.

File metadata

  • Download URL: dpmap-0.0.4.tar.gz
  • Upload date:
  • Size: 12.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.9.6 readme-renderer/40.0 requests/2.28.2 requests-toolbelt/1.0.0 urllib3/1.26.15 tqdm/4.65.0 importlib-metadata/6.8.0 keyring/24.2.0 rfc3986/1.5.0 colorama/0.4.4 CPython/3.11.4

File hashes

Hashes for dpmap-0.0.4.tar.gz
Algorithm Hash digest
SHA256 3bc4d87c44719c0b6b24c26681f398e7f297fcffc6331913b75f709b4d371cf0
MD5 c1d1bab49f971e940ba98e5d68e80768
BLAKE2b-256 dd4bcdaf5a505d0f757becb97aaba30519b02153db1741bf389164c932ac5599

See more details on using hashes here.

File details

Details for the file dpmap-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: dpmap-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 12.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.9.6 readme-renderer/40.0 requests/2.28.2 requests-toolbelt/1.0.0 urllib3/1.26.15 tqdm/4.65.0 importlib-metadata/6.8.0 keyring/24.2.0 rfc3986/1.5.0 colorama/0.4.4 CPython/3.11.4

File hashes

Hashes for dpmap-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 8a454ad94a00960819609ab386634125f53c25d4e8edd1526799ca8d2ed78acd
MD5 803a341e771eaa0e9e86b0da9225aa0c
BLAKE2b-256 94aa1f8fc0325e31498539cd700fe643f8828b5355f216aa724b8583a29f9096

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page