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Python logo brainlift  0.1.0

One-liner (summary)

BrainLift Manager (BLM) - A command-line interface for the BrainLift knowledge management system

Description

# BrainLift CLI

A command-line interface for the BrainLift knowledge management system. This CLI tool allows you to interact with the BrainLift serverless backend to manage, search, and generate structured knowledge content.

## Installation

`bash # Install from source pip install -e . `

### Environment Setup

Create a .env file in your home directory at ~/.brain-lift/.env with the following variables:

`bash BRAINLIFT_FUNCTION_URL=your_lambda_function_url BRAINLIFT_API_KEY=your_api_key `

Alternatively, you can use the configure-serverless command to set these values:

`bash blm configure-serverless --function-url https://your-lambda-function-url.lambda-url.region.on.aws/ --api-key your-api-key `

## Commands

### List Content

```bash # List all products blm list

# List topics in a product blm list --product <product>

# List sections in a topic blm list --product <product> --topic <topic> ```

### Search Content

```bash # Search for content blm search "your search query"

# Search within a specific product blm search "your search query" --product <product>

# Limit search results blm search "your search query" --limit 5 ```

### Get Content

```bash # Get content by path blm get --product <product> --topic <topic>

# Get specific section blm get --product <product> --topic <topic> --section <section> ```

### Import Content

`bash # Import content from a markdown file blm import <file.md> --product <product> --topic <topic> `

### Update Content

`bash # Update content blm update --product <product> --topic <topic> --file <file.md> `

### Delete Content

`bash # Delete content blm delete --product <product> --topic <topic> `

### Generate Content

```bash # Generate structured content from raw input blm generate --product <product> --topic <topic> --file <file.md>

# Specify template version blm generate --product <product> --topic <topic> --file <file.md> -v v3 ```

### Content Generation Guidelines

When using the generate command, the system follows these principles:

  1. Factual Accuracy: The system prioritizes factual accuracy over filling every template section. All content must be derived from the source material.
  2. DOK Structure: - DOK1 and DOK2: Function as context packs containing factual information and foundational knowledge directly from the source material. - DOK3 and DOK4: Higher-level insights are only included when they can be genuinely derived from the content, not invented.
  3. Experts Section: Only includes people or sources that are explicitly mentioned in the original content. If no experts are explicitly mentioned, this section should remain empty or be omitted.
  4. Purpose Section: Clearly defines what the content is about - the core objective or focus of the material.
  5. Template Flexibility: The template structure respects what's actually in the content rather than forcing information into categories where it doesn't exist in the source material.

## Verbose Mode

Add the --verbose flag to get more detailed output:

`bash blm --verbose INFO list blm --verbose DEBUG generate --product <product> --topic <topic> --file <file.md> `

## Development

This CLI is a thin wrapper around the BrainLift serverless backend. It handles:

  1. Command-line argument parsing
  2. File I/O for content import/export
  3. API calls to the serverless backend
  4. Formatting and displaying results

All business logic, content processing, and storage operations are handled by the serverless backend.

Size

13.3 KB

Downloads

4

Status  Completed
Checksum (MD5) d0b4c900267bc9f2b2fa9e8d81e9d199
Checksum (SHA-1) 9cca06a960a06930aabaf381ad6220b0c85f7ba7
Checksum (SHA-256) 4721ccc5e46142e1d5d4a71e9a5dadb9167198963b6614d310d904b7e233442b
Checksum (SHA-512) 384e80eaca169ce391d2fb21fad2cb5e250932e077972d883dcac4997f40f1e99f…
GPG Signature
GPG Fingerprint 6811684bac0b8895434e97bdd4391b8fb999e537
Storage Region  Dublin, Ireland
Type  Binary (contains binaries and binary artifacts)
Uploaded At 4 months, 3 weeks ago
Uploaded By Fetched by Cloudsmith
Slug Id brainlift-010-py3-none-anywhl-lla5
Unique Id qr5nCiqcHqMQeCsb
Version (Raw) 0.1.0
Version (Parsed)
  • Major: 0
  • Minor: 1
  • Patch: 0
  • Type: SemVer (Compat)
  extended metadata
Author Trilogy Group <info@trilogy.com>
Classifiers Development Status :: 4 - Beta | Intended Audience :: Developers | License :: OSI Approved :: MIT License | Programming Language :: Python :: 3 | Programming Language :: Python :: 3.10 | Programming Language :: Python :: 3.7 | Programming Language :: Python :: 3.8 | Programming Language :: Python :: 3.9 | Topic :: Software Development :: Libraries :: Python Modules | Topic :: Utilities
Homepage URL https://github.com/trilogy-group/-brainlift-cli
Keywords brainlift,knowledge management,cli,ai,vector search
Metadata Version 2.4
Py Filetype bdist_wheel
Py Version py3
Requires Dist python-dotenv>=0.15.0 | requests>=2.25.0
Requires Python >=3.7
pkg brainlift-0.1.0-py3-none-any.whl 4
13.3 KB
md5 sha1 sha256 sha512
Package Contents (brainlift-0.1.0-py3-none-any.whl)
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This package has 21 files/directories.

Last scanned

4 months, 3 weeks ago

Scan result

Clean

Vulnerability count

0

Max. severity

Unknown

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