import importlib
import json
import os
from typing import Any, Dict, List, Optional
from langchain_core._api import beta
from langchain_core.load.mapping import (
_JS_SERIALIZABLE_MAPPING,
_OG_SERIALIZABLE_MAPPING,
OLD_CORE_NAMESPACES_MAPPING,
SERIALIZABLE_MAPPING,
)
from langchain_core.load.serializable import Serializable
DEFAULT_NAMESPACES = [
"langchain",
"langchain_core",
"langchain_community",
"langchain_anthropic",
"langchain_groq",
]
ALL_SERIALIZABLE_MAPPINGS = {
**SERIALIZABLE_MAPPING,
**OLD_CORE_NAMESPACES_MAPPING,
**_OG_SERIALIZABLE_MAPPING,
**_JS_SERIALIZABLE_MAPPING,
}
[docs]class Reviver:
"""Reviver for JSON objects."""
[docs] def __init__(
self,
secrets_map: Optional[Dict[str, str]] = None,
valid_namespaces: Optional[List[str]] = None,
secrets_from_env: bool = True,
) -> None:
"""Initialize the reviver.
Args:
secrets_map: A map of secrets to load. If a secret is not found in
the map, it will be loaded from the environment if `secrets_from_env`
is True. Defaults to None.
valid_namespaces: A list of additional namespaces (modules)
to allow to be deserialized. Defaults to None.
secrets_from_env: Whether to load secrets from the environment.
Defaults to True.
"""
self.secrets_from_env = secrets_from_env
self.secrets_map = secrets_map or dict()
# By default only support langchain, but user can pass in additional namespaces
self.valid_namespaces = (
[*DEFAULT_NAMESPACES, *valid_namespaces]
if valid_namespaces
else DEFAULT_NAMESPACES
)
def __call__(self, value: Dict[str, Any]) -> Any:
if (
value.get("lc", None) == 1
and value.get("type", None) == "secret"
and value.get("id", None) is not None
):
[key] = value["id"]
if key in self.secrets_map:
return self.secrets_map[key]
else:
if self.secrets_from_env and key in os.environ and os.environ[key]:
return os.environ[key]
raise KeyError(f'Missing key "{key}" in load(secrets_map)')
if (
value.get("lc", None) == 1
and value.get("type", None) == "not_implemented"
and value.get("id", None) is not None
):
raise NotImplementedError(
"Trying to load an object that doesn't implement "
f"serialization: {value}"
)
if (
value.get("lc", None) == 1
and value.get("type", None) == "constructor"
and value.get("id", None) is not None
):
[*namespace, name] = value["id"]
if namespace[0] not in self.valid_namespaces:
raise ValueError(f"Invalid namespace: {value}")
# The root namespace "langchain" is not a valid identifier.
if len(namespace) == 1 and namespace[0] == "langchain":
raise ValueError(f"Invalid namespace: {value}")
# If namespace is in known namespaces, try to use mapping
if namespace[0] in DEFAULT_NAMESPACES:
# Get the importable path
key = tuple(namespace + [name])
if key not in ALL_SERIALIZABLE_MAPPINGS:
raise ValueError(
"Trying to deserialize something that cannot "
"be deserialized in current version of langchain-core: "
f"{key}"
)
import_path = ALL_SERIALIZABLE_MAPPINGS[key]
# Split into module and name
import_dir, import_obj = import_path[:-1], import_path[-1]
# Import module
mod = importlib.import_module(".".join(import_dir))
# Import class
cls = getattr(mod, import_obj)
# Otherwise, load by path
else:
mod = importlib.import_module(".".join(namespace))
cls = getattr(mod, name)
# The class must be a subclass of Serializable.
if not issubclass(cls, Serializable):
raise ValueError(f"Invalid namespace: {value}")
# We don't need to recurse on kwargs
# as json.loads will do that for us.
kwargs = value.get("kwargs", dict())
return cls(**kwargs)
return value
[docs]@beta()
def loads(
text: str,
*,
secrets_map: Optional[Dict[str, str]] = None,
valid_namespaces: Optional[List[str]] = None,
secrets_from_env: bool = True,
) -> Any:
"""Revive a LangChain class from a JSON string.
Equivalent to `load(json.loads(text))`.
Args:
text: The string to load.
secrets_map: A map of secrets to load. If a secret is not found in
the map, it will be loaded from the environment if `secrets_from_env`
is True. Defaults to None.
valid_namespaces: A list of additional namespaces (modules)
to allow to be deserialized. Defaults to None.
secrets_from_env: Whether to load secrets from the environment.
Defaults to True.
Returns:
Revived LangChain objects.
"""
return json.loads(
text, object_hook=Reviver(secrets_map, valid_namespaces, secrets_from_env)
)
[docs]@beta()
def load(
obj: Any,
*,
secrets_map: Optional[Dict[str, str]] = None,
valid_namespaces: Optional[List[str]] = None,
secrets_from_env: bool = True,
) -> Any:
"""Revive a LangChain class from a JSON object. Use this if you already
have a parsed JSON object, eg. from `json.load` or `orjson.loads`.
Args:
obj: The object to load.
secrets_map: A map of secrets to load. If a secret is not found in
the map, it will be loaded from the environment if `secrets_from_env`
is True. Defaults to None.
valid_namespaces: A list of additional namespaces (modules)
to allow to be deserialized. Defaults to None.
secrets_from_env: Whether to load secrets from the environment.
Defaults to True.
Returns:
Revived LangChain objects.
"""
reviver = Reviver(secrets_map, valid_namespaces, secrets_from_env)
def _load(obj: Any) -> Any:
if isinstance(obj, dict):
# Need to revive leaf nodes before reviving this node
loaded_obj = {k: _load(v) for k, v in obj.items()}
return reviver(loaded_obj)
if isinstance(obj, list):
return [_load(o) for o in obj]
return obj
return _load(obj)
