schrodinger.seam.yaml.transform_specs module¶

Introspection API for SEAM YAML transforms.

Example usage:

$SCHRODINGER/run python3 -m schrodinger.seam.yaml.transform_specs -p
$SCHRODINGER/run python3 -m schrodinger.seam.yaml.transform_specs --catalog_file=catalog.json
$SCHRODINGER/run python3 -m schrodinger.seam.yaml.transform_specs --schemas_file=schemas.json

class schrodinger.seam.yaml.transform_specs.FieldSpec(name: str, type: Any, description: str | None = None, default: Any = '<REQUIRED>', allowed_values: list[Any] | None = None)¶

Bases: object

name: str¶

type: Any¶

description: str | None = None¶

default: Any = '<REQUIRED>'¶

allowed_values: list[Any] | None = None¶

property is_required: bool¶

__init__(name: str, type: Any, description: str | None = None, default: Any = '<REQUIRED>', allowed_values: list[Any] | None = None) → None¶

class schrodinger.seam.yaml.transform_specs.TransformSpec(fields: list[FieldSpec], description: str | None = None, input_type: Any | None = None, output_type: Any | None = None)¶

Bases: object

fields: list[FieldSpec]¶

description: str | None = None¶

input_type: Any | None = None¶

output_type: Any | None = None¶

__init__(fields: list[FieldSpec], description: str | None = None, input_type: Any | None = None, output_type: Any | None = None) → None¶

schrodinger.seam.yaml.transform_specs.get_yaml_transform_catalog() → dict[str, TransformSpec]¶: Return a TransformSpec for every registered SEAM YAML transform, keyed by transform name.

schrodinger.seam.yaml.transform_specs.get_yaml_transform_schemas() → dict[str, dict[str, Any]]¶: Return the Pydantic JSON Schema for every transform with a Pydantic config_class, keyed by transform name. Configs whose schema cannot be generated are skipped and logged.

schrodinger.seam.yaml.transform_specs.format_type(t: Any) → str¶

schrodinger.seam.yaml.transform_specs.main()¶