experiments/adapters.py

"""Adapt hypothesis modules' build_spatial_code() calling convention across formats.

Mirrors symbolic/adapters.py's job (absorb a spatial-code schema difference behind one call),
but the difference handled here is in the HYPOTHESIS MODULE ITSELF, not the on-disk JSON: each
file under experiments/hypotheses/ is a full standalone fork of encoder/geometric.py.

- Older hypotheses were forked before the compact schema existed and expose a single-arg
  build_spatial_code(scene) that always builds the "explicit" answer-oriented schema.
- Newer hypotheses (forked from the current encoder/geometric.py, which already supports both
  schemas from one function) expose build_spatial_code(scene, spatial_code_format="explicit"),
  matching encoder/geometric.py's own real entry point.

experiments/run.py calls build() below instead of the hypothesis module directly, so callers
never need to know which style a given hypothesis file uses.
"""

from __future__ import annotations

import inspect
from types import ModuleType

from experiments.config import SPATIAL_CODE_FORMATS, validate_spatial_code_format


def supports_compact(hypothesis_module: ModuleType) -> bool:
    """Whether this hypothesis module's build_spatial_code() accepts a format argument."""
    params = inspect.signature(hypothesis_module.build_spatial_code).parameters
    return len(params) >= 2


def build(hypothesis_module: ModuleType, scene, spatial_code_format: str = "explicit"):
    """Build one spatial code from a loaded hypothesis module, in the requested format.

    Raises ValueError if an "explicit"-only (older-style) hypothesis is asked to build
    "compact" -- that hypothesis genuinely cannot produce that schema, so failing loudly here
    is preferable to silently building the wrong format.
    """
    validate_spatial_code_format(spatial_code_format)
    if supports_compact(hypothesis_module):
        return hypothesis_module.build_spatial_code(scene, spatial_code_format)
    if spatial_code_format != "explicit":
        raise ValueError(
            f"{hypothesis_module.__name__} only supports the 'explicit' spatial-code "
            f"format (its build_spatial_code() takes a single scene argument); requested "
            f"{spatial_code_format!r}"
        )
    return hypothesis_module.build_spatial_code(scene)


__all__ = ["SPATIAL_CODE_FORMATS", "supports_compact", "build"]