Source code for neo4j_graphrag.experimental.pipeline.config.param_resolver

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import enum
import os
from typing import Any, ClassVar, Literal, Union

from pydantic import BaseModel


class ParamResolverEnum(str, enum.Enum):
    ENV = "ENV"
    CONFIG_KEY = "CONFIG_KEY"


class ParamToResolveConfig(BaseModel):
    def resolve(self, data: dict[str, Any]) -> Any:
        raise NotImplementedError


[docs] class ParamFromEnvConfig(ParamToResolveConfig): resolver_: Literal[ParamResolverEnum.ENV] = ParamResolverEnum.ENV var_: str def resolve(self, data: dict[str, Any]) -> Any: return os.environ.get(self.var_)
class ParamFromKeyConfig(ParamToResolveConfig): resolver_: Literal[ParamResolverEnum.CONFIG_KEY] = ParamResolverEnum.CONFIG_KEY key_: str KEY_SEP: ClassVar[str] = "." def resolve(self, data: dict[str, Any]) -> Any: d = data for k in self.key_.split(self.KEY_SEP): d = d[k] return d ParamConfig = Union[ float, str, ParamFromEnvConfig, ParamFromKeyConfig, dict[str, Any], ]