mirror of https://github.com/hwchase17/langchain
langchain[patch], community[minor]: move `output_parsers.ernie_functions` (#16057)
`output_parsers.ernie_functions` moved into `community`pull/16153/head
parent
e7ddec1f2c
commit
c5f6b828ad
@ -0,0 +1,179 @@
|
||||
import copy
|
||||
import json
|
||||
from typing import Any, Dict, List, Optional, Type, Union
|
||||
|
||||
import jsonpatch
|
||||
from langchain_core.exceptions import OutputParserException
|
||||
from langchain_core.output_parsers import (
|
||||
BaseCumulativeTransformOutputParser,
|
||||
BaseGenerationOutputParser,
|
||||
)
|
||||
from langchain_core.output_parsers.json import parse_partial_json
|
||||
from langchain_core.outputs.chat_generation import (
|
||||
ChatGeneration,
|
||||
Generation,
|
||||
)
|
||||
from langchain_core.pydantic_v1 import BaseModel, root_validator
|
||||
|
||||
|
||||
class OutputFunctionsParser(BaseGenerationOutputParser[Any]):
|
||||
"""Parse an output that is one of sets of values."""
|
||||
|
||||
args_only: bool = True
|
||||
"""Whether to only return the arguments to the function call."""
|
||||
|
||||
def parse_result(self, result: List[Generation], *, partial: bool = False) -> Any:
|
||||
generation = result[0]
|
||||
if not isinstance(generation, ChatGeneration):
|
||||
raise OutputParserException(
|
||||
"This output parser can only be used with a chat generation."
|
||||
)
|
||||
message = generation.message
|
||||
try:
|
||||
func_call = copy.deepcopy(message.additional_kwargs["function_call"])
|
||||
except KeyError as exc:
|
||||
raise OutputParserException(f"Could not parse function call: {exc}")
|
||||
|
||||
if self.args_only:
|
||||
return func_call["arguments"]
|
||||
return func_call
|
||||
|
||||
|
||||
class JsonOutputFunctionsParser(BaseCumulativeTransformOutputParser[Any]):
|
||||
"""Parse an output as the Json object."""
|
||||
|
||||
strict: bool = False
|
||||
"""Whether to allow non-JSON-compliant strings.
|
||||
|
||||
See: https://docs.python.org/3/library/json.html#encoders-and-decoders
|
||||
|
||||
Useful when the parsed output may include unicode characters or new lines.
|
||||
"""
|
||||
|
||||
args_only: bool = True
|
||||
"""Whether to only return the arguments to the function call."""
|
||||
|
||||
@property
|
||||
def _type(self) -> str:
|
||||
return "json_functions"
|
||||
|
||||
def _diff(self, prev: Optional[Any], next: Any) -> Any:
|
||||
return jsonpatch.make_patch(prev, next).patch
|
||||
|
||||
def parse_result(self, result: List[Generation], *, partial: bool = False) -> Any:
|
||||
if len(result) != 1:
|
||||
raise OutputParserException(
|
||||
f"Expected exactly one result, but got {len(result)}"
|
||||
)
|
||||
generation = result[0]
|
||||
if not isinstance(generation, ChatGeneration):
|
||||
raise OutputParserException(
|
||||
"This output parser can only be used with a chat generation."
|
||||
)
|
||||
message = generation.message
|
||||
if "function_call" not in message.additional_kwargs:
|
||||
return None
|
||||
try:
|
||||
function_call = message.additional_kwargs["function_call"]
|
||||
except KeyError as exc:
|
||||
if partial:
|
||||
return None
|
||||
else:
|
||||
raise OutputParserException(f"Could not parse function call: {exc}")
|
||||
try:
|
||||
if partial:
|
||||
if self.args_only:
|
||||
return parse_partial_json(
|
||||
function_call["arguments"], strict=self.strict
|
||||
)
|
||||
else:
|
||||
return {
|
||||
**function_call,
|
||||
"arguments": parse_partial_json(
|
||||
function_call["arguments"], strict=self.strict
|
||||
),
|
||||
}
|
||||
else:
|
||||
if self.args_only:
|
||||
try:
|
||||
return json.loads(
|
||||
function_call["arguments"], strict=self.strict
|
||||
)
|
||||
except (json.JSONDecodeError, TypeError) as exc:
|
||||
raise OutputParserException(
|
||||
f"Could not parse function call data: {exc}"
|
||||
)
|
||||
else:
|
||||
try:
|
||||
return {
|
||||
**function_call,
|
||||
"arguments": json.loads(
|
||||
function_call["arguments"], strict=self.strict
|
||||
),
|
||||
}
|
||||
except (json.JSONDecodeError, TypeError) as exc:
|
||||
raise OutputParserException(
|
||||
f"Could not parse function call data: {exc}"
|
||||
)
|
||||
except KeyError:
|
||||
return None
|
||||
|
||||
# This method would be called by the default implementation of `parse_result`
|
||||
# but we're overriding that method so it's not needed.
|
||||
def parse(self, text: str) -> Any:
|
||||
raise NotImplementedError()
|
||||
|
||||
|
||||
class JsonKeyOutputFunctionsParser(JsonOutputFunctionsParser):
|
||||
"""Parse an output as the element of the Json object."""
|
||||
|
||||
key_name: str
|
||||
"""The name of the key to return."""
|
||||
|
||||
def parse_result(self, result: List[Generation], *, partial: bool = False) -> Any:
|
||||
res = super().parse_result(result, partial=partial)
|
||||
if partial and res is None:
|
||||
return None
|
||||
return res.get(self.key_name) if partial else res[self.key_name]
|
||||
|
||||
|
||||
class PydanticOutputFunctionsParser(OutputFunctionsParser):
|
||||
"""Parse an output as a pydantic object."""
|
||||
|
||||
pydantic_schema: Union[Type[BaseModel], Dict[str, Type[BaseModel]]]
|
||||
"""The pydantic schema to parse the output with."""
|
||||
|
||||
@root_validator(pre=True)
|
||||
def validate_schema(cls, values: Dict) -> Dict:
|
||||
schema = values["pydantic_schema"]
|
||||
if "args_only" not in values:
|
||||
values["args_only"] = isinstance(schema, type) and issubclass(
|
||||
schema, BaseModel
|
||||
)
|
||||
elif values["args_only"] and isinstance(schema, Dict):
|
||||
raise ValueError(
|
||||
"If multiple pydantic schemas are provided then args_only should be"
|
||||
" False."
|
||||
)
|
||||
return values
|
||||
|
||||
def parse_result(self, result: List[Generation], *, partial: bool = False) -> Any:
|
||||
_result = super().parse_result(result)
|
||||
if self.args_only:
|
||||
pydantic_args = self.pydantic_schema.parse_raw(_result) # type: ignore
|
||||
else:
|
||||
fn_name = _result["name"]
|
||||
_args = _result["arguments"]
|
||||
pydantic_args = self.pydantic_schema[fn_name].parse_raw(_args) # type: ignore # noqa: E501
|
||||
return pydantic_args
|
||||
|
||||
|
||||
class PydanticAttrOutputFunctionsParser(PydanticOutputFunctionsParser):
|
||||
"""Parse an output as an attribute of a pydantic object."""
|
||||
|
||||
attr_name: str
|
||||
"""The name of the attribute to return."""
|
||||
|
||||
def parse_result(self, result: List[Generation], *, partial: bool = False) -> Any:
|
||||
result = super().parse_result(result)
|
||||
return getattr(result, self.attr_name)
|
@ -1,180 +1,15 @@
|
||||
import copy
|
||||
import json
|
||||
from typing import Any, Dict, List, Optional, Type, Union
|
||||
|
||||
import jsonpatch
|
||||
from langchain_core.output_parsers import (
|
||||
BaseCumulativeTransformOutputParser,
|
||||
BaseGenerationOutputParser,
|
||||
)
|
||||
|
||||
from langchain.output_parsers.json import parse_partial_json
|
||||
from langchain.pydantic_v1 import BaseModel, root_validator
|
||||
from langchain.schema import (
|
||||
ChatGeneration,
|
||||
Generation,
|
||||
OutputParserException,
|
||||
from langchain_community.output_parsers.ernie_functions import (
|
||||
JsonKeyOutputFunctionsParser,
|
||||
JsonOutputFunctionsParser,
|
||||
OutputFunctionsParser,
|
||||
PydanticAttrOutputFunctionsParser,
|
||||
PydanticOutputFunctionsParser,
|
||||
)
|
||||
|
||||
|
||||
class OutputFunctionsParser(BaseGenerationOutputParser[Any]):
|
||||
"""Parse an output that is one of sets of values."""
|
||||
|
||||
args_only: bool = True
|
||||
"""Whether to only return the arguments to the function call."""
|
||||
|
||||
def parse_result(self, result: List[Generation], *, partial: bool = False) -> Any:
|
||||
generation = result[0]
|
||||
if not isinstance(generation, ChatGeneration):
|
||||
raise OutputParserException(
|
||||
"This output parser can only be used with a chat generation."
|
||||
)
|
||||
message = generation.message
|
||||
try:
|
||||
func_call = copy.deepcopy(message.additional_kwargs["function_call"])
|
||||
except KeyError as exc:
|
||||
raise OutputParserException(f"Could not parse function call: {exc}")
|
||||
|
||||
if self.args_only:
|
||||
return func_call["arguments"]
|
||||
return func_call
|
||||
|
||||
|
||||
class JsonOutputFunctionsParser(BaseCumulativeTransformOutputParser[Any]):
|
||||
"""Parse an output as the Json object."""
|
||||
|
||||
strict: bool = False
|
||||
"""Whether to allow non-JSON-compliant strings.
|
||||
|
||||
See: https://docs.python.org/3/library/json.html#encoders-and-decoders
|
||||
|
||||
Useful when the parsed output may include unicode characters or new lines.
|
||||
"""
|
||||
|
||||
args_only: bool = True
|
||||
"""Whether to only return the arguments to the function call."""
|
||||
|
||||
@property
|
||||
def _type(self) -> str:
|
||||
return "json_functions"
|
||||
|
||||
def _diff(self, prev: Optional[Any], next: Any) -> Any:
|
||||
return jsonpatch.make_patch(prev, next).patch
|
||||
|
||||
def parse_result(self, result: List[Generation], *, partial: bool = False) -> Any:
|
||||
if len(result) != 1:
|
||||
raise OutputParserException(
|
||||
f"Expected exactly one result, but got {len(result)}"
|
||||
)
|
||||
generation = result[0]
|
||||
if not isinstance(generation, ChatGeneration):
|
||||
raise OutputParserException(
|
||||
"This output parser can only be used with a chat generation."
|
||||
)
|
||||
message = generation.message
|
||||
if "function_call" not in message.additional_kwargs:
|
||||
return None
|
||||
try:
|
||||
function_call = message.additional_kwargs["function_call"]
|
||||
except KeyError as exc:
|
||||
if partial:
|
||||
return None
|
||||
else:
|
||||
raise OutputParserException(f"Could not parse function call: {exc}")
|
||||
try:
|
||||
if partial:
|
||||
if self.args_only:
|
||||
return parse_partial_json(
|
||||
function_call["arguments"], strict=self.strict
|
||||
)
|
||||
else:
|
||||
return {
|
||||
**function_call,
|
||||
"arguments": parse_partial_json(
|
||||
function_call["arguments"], strict=self.strict
|
||||
),
|
||||
}
|
||||
else:
|
||||
if self.args_only:
|
||||
try:
|
||||
return json.loads(
|
||||
function_call["arguments"], strict=self.strict
|
||||
)
|
||||
except (json.JSONDecodeError, TypeError) as exc:
|
||||
raise OutputParserException(
|
||||
f"Could not parse function call data: {exc}"
|
||||
)
|
||||
else:
|
||||
try:
|
||||
return {
|
||||
**function_call,
|
||||
"arguments": json.loads(
|
||||
function_call["arguments"], strict=self.strict
|
||||
),
|
||||
}
|
||||
except (json.JSONDecodeError, TypeError) as exc:
|
||||
raise OutputParserException(
|
||||
f"Could not parse function call data: {exc}"
|
||||
)
|
||||
except KeyError:
|
||||
return None
|
||||
|
||||
# This method would be called by the default implementation of `parse_result`
|
||||
# but we're overriding that method so it's not needed.
|
||||
def parse(self, text: str) -> Any:
|
||||
raise NotImplementedError()
|
||||
|
||||
|
||||
class JsonKeyOutputFunctionsParser(JsonOutputFunctionsParser):
|
||||
"""Parse an output as the element of the Json object."""
|
||||
|
||||
key_name: str
|
||||
"""The name of the key to return."""
|
||||
|
||||
def parse_result(self, result: List[Generation], *, partial: bool = False) -> Any:
|
||||
res = super().parse_result(result, partial=partial)
|
||||
if partial and res is None:
|
||||
return None
|
||||
return res.get(self.key_name) if partial else res[self.key_name]
|
||||
|
||||
|
||||
class PydanticOutputFunctionsParser(OutputFunctionsParser):
|
||||
"""Parse an output as a pydantic object."""
|
||||
|
||||
pydantic_schema: Union[Type[BaseModel], Dict[str, Type[BaseModel]]]
|
||||
"""The pydantic schema to parse the output with."""
|
||||
|
||||
@root_validator(pre=True)
|
||||
def validate_schema(cls, values: Dict) -> Dict:
|
||||
schema = values["pydantic_schema"]
|
||||
if "args_only" not in values:
|
||||
values["args_only"] = isinstance(schema, type) and issubclass(
|
||||
schema, BaseModel
|
||||
)
|
||||
elif values["args_only"] and isinstance(schema, Dict):
|
||||
raise ValueError(
|
||||
"If multiple pydantic schemas are provided then args_only should be"
|
||||
" False."
|
||||
)
|
||||
return values
|
||||
|
||||
def parse_result(self, result: List[Generation], *, partial: bool = False) -> Any:
|
||||
_result = super().parse_result(result)
|
||||
if self.args_only:
|
||||
pydantic_args = self.pydantic_schema.parse_raw(_result) # type: ignore
|
||||
else:
|
||||
fn_name = _result["name"]
|
||||
_args = _result["arguments"]
|
||||
pydantic_args = self.pydantic_schema[fn_name].parse_raw(_args) # type: ignore # noqa: E501
|
||||
return pydantic_args
|
||||
|
||||
|
||||
class PydanticAttrOutputFunctionsParser(PydanticOutputFunctionsParser):
|
||||
"""Parse an output as an attribute of a pydantic object."""
|
||||
|
||||
attr_name: str
|
||||
"""The name of the attribute to return."""
|
||||
|
||||
def parse_result(self, result: List[Generation], *, partial: bool = False) -> Any:
|
||||
result = super().parse_result(result)
|
||||
return getattr(result, self.attr_name)
|
||||
__all__ = [
|
||||
"JsonKeyOutputFunctionsParser",
|
||||
"JsonOutputFunctionsParser",
|
||||
"OutputFunctionsParser",
|
||||
"PydanticAttrOutputFunctionsParser",
|
||||
"PydanticOutputFunctionsParser",
|
||||
]
|
||||
|
Loading…
Reference in New Issue