mftsccs 0.1.14

A Python library for Concept-Connection System (CCS) - offline-first knowledge graph management

CCS

A Python library for CCS functionality.

Installation

From source (development mode)

# Clone the repository
git clone https://github.com/yourusername/ccs.git
cd ccs

# Install in development mode
pip install -e .

# Install with development dependencies
pip install -e ".[dev]"

From PyPI (once published)

pip install ccs

Usage

Initialization

from ccs import init, CCSConfig

await init(
    url="https://api.example.com",
    nodeUrl="https://node.example.com",
    applicationName="MyApp",
    config=CCSConfig(storagePath="./data/ccs/")
)

Get instance concept by character value and type

Fetches a concept from the backend that matches a given character value and type string (e.g. a URL tagged as "the_source_url").

from ccs.api import GetInstanceConceptByCharacterType

concept = await GetInstanceConceptByCharacterType(
    characterValue="https://www.google.com/maps/place/gorjana/data=...",
    type="the_source_url",
)

if concept.id != 0:
    print(concept.id)             # server-assigned concept ID
    print(concept.characterValue) # the matched character value

Request body sent to /api/get_instance_concept_by_character_type:

{
    "characterValue": "https://...",
    "type": "the_source_url"
}

Returns a Concept object. If no match is found or an error occurs, returns a default empty Concept with id=0.

Login output formatting (frontend-friendly)

Use the package to call backend login and return a normalized payload that your frontend can store directly.

from ccs import init, CCSConfig, login, format_login_payload

await init(
    url="https://boomconsole.com",
    nodeUrl="https://boomconsole.com",
    applicationName="boomconsole",
    config=CCSConfig(storagePath="./data/ccs/")
)

# Calls /api/auth/login and returns normalized payload.
# By default this does NOT persist login data.
payload = await login("[e-mail]", "password")
print(payload)

# If you already have raw backend login JSON, just format it:
normalized = format_login_payload(raw_login_response, fallback_email="[e-mail]")

Normalized output shape:

{
  "token": "...",
  "refreshToken": "...",
  "email": "[e-mail]",
  "userId": 10489,
  "userConcept": 100417172,
  "entityId": 100827857,
  "amcode": "base64-encoded-roles-json"
}

Optional storage behavior:

# Only if you explicitly want package-level storage:
payload = await login("[e-mail]", "password", store_session=True, persist=True)

Project Structure

CCS-Python/
├── pyproject.toml          # Package configuration
├── README.md               # This file
├── src/
│   └── ccs/                # Main package
│       ├── __init__.py     # Package initialization & exports
│       ├── core.py         # Core functionality
│       └── utils.py        # Utility functions
├── tests/                  # Test suite
│   ├── __init__.py
│   ├── test_core.py
│   └── test_utils.py
└── docs/                   # Documentation (optional)

Development

Running tests

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run tests with coverage
pytest --cov=ccs

Code formatting

# Format code with black
black src/ tests/

# Lint with ruff
ruff check src/ tests/

Type checking

mypy src/

Building & Publishing

Build the package

pip install build
python -m build

This creates distribution files in the dist/ directory:

• ccs-0.1.0.tar.gz (source distribution)
• ccs-0.1.0-py3-none-any.whl (wheel distribution)

Publish to PyPI

pip install twine

# Upload to TestPyPI first (recommended)
twine upload --repository testpypi dist/*

# Upload to PyPI
twine upload dist/*

License

MIT License - see LICENSE file for details.