Goga Cell Python

Python: Contract Implementation Rules

Language skill for Python.

Apply the specification within the context of the invoking skill. Do not paraphrase the content — use it for decision-making.

Invoke via the goga-lang-disp router.

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Examples

Full CODEMANIFEST example for Python with all DSL constructs:

Imports:
  - Types:
      - DataModel
      - BaseConfig AS Config
    Usages:
      - serialization
    From: path/to/data_cell

Usages:
  conventions: .goga/usages/python_conventions.md
  pattern: |
    All public methods must use type hints. Return values are immutable where possible.
  testing: |
    Each routine and entity method must have a corresponding test in tests/.

Annotations: |
  Use `conventions` for code style.
  Use `testing` for test requirements.
  Use `serialization` from Imports for data encoding patterns.

  All methods must return concrete types, not `Any`.

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"parse_input(input: str) -> data: bytes":
  location: parser.py
  annotations: |
    Parse raw input string into structured data.

    `input`: raw string to parse

    Use `pattern` for implementation.

"DataProcessor(config: Config)":
  location: processor.py
  annotations: |
    Process data according to configuration.

    `config`: processor configuration from `Config` type.

    Use `serialization` from Imports for encoding.
    Use `conventions` for code style.
  properties:
    "name -> str": |
      Processor identifier.
    "buffer_size -> int": |
      Maximum buffer size in bytes.
  methods:
    "process(data: list[T]) -> result: list[T]": |
      Process a batch of data items.

      `data`: input items to process
      `result`: processed items

      Use `pattern` for implementation.
    "reset()": |
      Reset internal state.

"BaseHandler::HTTPHandler(host: str)":
  location: handler.py
  annotations: |
    HTTP-specific handler extending BaseHandler.

    `host`: server hostname

    Use `serialization` from Imports for request/response encoding.

->DataModel: {}

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Author: Goga
CreatedAt: 22/05/26
Description: |
  Example CODEMANIFEST demonstrating all DSL constructs for Python.

Cell

A cell is a Python package:

cell/
├── CODEMANIFEST
├── __init__.py

Language Specifics

Facade: __init__.py must expose the full contract API through __all__. Only identifiers listed in __all__ constitute the cell facade.

Naming: PascalCase for classes; snake_case for functions, methods, and properties.

Constructors: The entity signature describes __init__ (the self parameter is excluded from the contract).

Type hints: mandatory. Type annotations drive signature extraction for properties and methods.

Construct Mapping

| Python | CODEMANIFEST | Note | |------------------------------------|------------------|--------------------------------------------| | class in __all__ | Entity | Class exported through __all__ | | def at module level in __all__ | Routine | Function exported through __all__ | | @property in class | Property | Type extracted from return annotation | | def method in class | Method | self excluded from signature | | __init__ parameters | Entity signature | self excluded |

Implementation

• Public API must be importable from package root
• Use classes and functions
• Type hints are mandatory

Signature Rules

Allowed:

str, int, float, bool,
list[T], dict[str, T],
T | None

Forbidden:

*args, **kwargs,
dict without generics,
list without generics

Arbitrary arguments

"dynamic_signature(...args: str, ...kwargs: dict) -> value:str":
  annotations: |
    Dynamic parameters example

    `args`: non-keyword, positional arguments (*args)
    `kwargs`: keyword, named arguments (**kwargs)

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Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: qarium
• Source: qarium/goga
• License: BSD-3-Clause

Install and usage instructions live in the source repository linked above.