Revert "xinference的代码"

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glide-the 2024-03-13 20:16:42 +08:00 committed by GitHub
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khazic

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from typing import Optional
from core.model_runtime.entities.provider_entities import CredentialFormSchema, FormType
class CommonValidator:
def _validate_and_filter_credential_form_schemas(self,
credential_form_schemas: list[CredentialFormSchema],
credentials: dict) -> dict:
need_validate_credential_form_schema_map = {}
for credential_form_schema in credential_form_schemas:
if not credential_form_schema.show_on:
need_validate_credential_form_schema_map[credential_form_schema.variable] = credential_form_schema
continue
all_show_on_match = True
for show_on_object in credential_form_schema.show_on:
if show_on_object.variable not in credentials:
all_show_on_match = False
break
if credentials[show_on_object.variable] != show_on_object.value:
all_show_on_match = False
break
if all_show_on_match:
need_validate_credential_form_schema_map[credential_form_schema.variable] = credential_form_schema
# Iterate over the remaining credential_form_schemas, verify each credential_form_schema
validated_credentials = {}
for credential_form_schema in need_validate_credential_form_schema_map.values():
# add the value of the credential_form_schema corresponding to it to validated_credentials
result = self._validate_credential_form_schema(credential_form_schema, credentials)
if result:
validated_credentials[credential_form_schema.variable] = result
return validated_credentials
def _validate_credential_form_schema(self, credential_form_schema: CredentialFormSchema, credentials: dict) \
-> Optional[str]:
"""
Validate credential form schema
:param credential_form_schema: credential form schema
:param credentials: credentials
:return: validated credential form schema value
"""
# If the variable does not exist in credentials
if credential_form_schema.variable not in credentials or not credentials[credential_form_schema.variable]:
# If required is True, an exception is thrown
if credential_form_schema.required:
raise ValueError(f'Variable {credential_form_schema.variable} is required')
else:
# Get the value of default
if credential_form_schema.default:
# If it exists, add it to validated_credentials
return credential_form_schema.default
else:
# If default does not exist, skip
return None
# Get the value corresponding to the variable from credentials
value = credentials[credential_form_schema.variable]
# If max_length=0, no validation is performed
if credential_form_schema.max_length:
if len(value) > credential_form_schema.max_length:
raise ValueError(f'Variable {credential_form_schema.variable} length should not greater than {credential_form_schema.max_length}')
# check the type of value
if not isinstance(value, str):
raise ValueError(f'Variable {credential_form_schema.variable} should be string')
if credential_form_schema.type in [FormType.SELECT, FormType.RADIO]:
# If the value is in options, no validation is performed
if credential_form_schema.options:
if value not in [option.value for option in credential_form_schema.options]:
raise ValueError(f'Variable {credential_form_schema.variable} is not in options')
if credential_form_schema.type == FormType.SWITCH:
# If the value is not in ['true', 'false'], an exception is thrown
if value.lower() not in ['true', 'false']:
raise ValueError(f'Variable {credential_form_schema.variable} should be true or false')
value = True if value.lower() == 'true' else False
return value

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from core.model_runtime.entities.model_entities import ModelType
from core.model_runtime.entities.provider_entities import ModelCredentialSchema
from core.model_runtime.schema_validators.common_validator import CommonValidator
class ModelCredentialSchemaValidator(CommonValidator):
def __init__(self, model_type: ModelType, model_credential_schema: ModelCredentialSchema):
self.model_type = model_type
self.model_credential_schema = model_credential_schema
def validate_and_filter(self, credentials: dict) -> dict:
"""
Validate model credentials
:param credentials: model credentials
:return: filtered credentials
"""
if self.model_credential_schema is None:
raise ValueError("Model credential schema is None")
# get the credential_form_schemas in provider_credential_schema
credential_form_schemas = self.model_credential_schema.credential_form_schemas
credentials["__model_type"] = self.model_type.value
return self._validate_and_filter_credential_form_schemas(credential_form_schemas, credentials)

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from core.model_runtime.entities.provider_entities import ProviderCredentialSchema
from core.model_runtime.schema_validators.common_validator import CommonValidator
class ProviderCredentialSchemaValidator(CommonValidator):
def __init__(self, provider_credential_schema: ProviderCredentialSchema):
self.provider_credential_schema = provider_credential_schema
def validate_and_filter(self, credentials: dict) -> dict:
"""
Validate provider credentials
:param credentials: provider credentials
:return: validated provider credentials
"""
# get the credential_form_schemas in provider_credential_schema
credential_form_schemas = self.provider_credential_schema.credential_form_schemas
return self._validate_and_filter_credential_form_schemas(credential_form_schemas, credentials)

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from typing import Any, Literal
from pydantic import BaseModel
from pydantic.version import VERSION as PYDANTIC_VERSION
PYDANTIC_V2 = PYDANTIC_VERSION.startswith("2.")
if PYDANTIC_V2:
from pydantic_core import Url as Url
def _model_dump(
model: BaseModel, mode: Literal["json", "python"] = "json", **kwargs: Any
) -> Any:
return model.model_dump(mode=mode, **kwargs)
else:
from pydantic import AnyUrl as Url # noqa: F401
def _model_dump(
model: BaseModel, mode: Literal["json", "python"] = "json", **kwargs: Any
) -> Any:
return model.dict(**kwargs)

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import dataclasses
import datetime
from collections import defaultdict, deque
from collections.abc import Callable
from decimal import Decimal
from enum import Enum
from ipaddress import IPv4Address, IPv4Interface, IPv4Network, IPv6Address, IPv6Interface, IPv6Network
from pathlib import Path, PurePath
from re import Pattern
from types import GeneratorType
from typing import Any, Optional, Union
from uuid import UUID
from pydantic import BaseModel
from pydantic.color import Color
from pydantic.networks import AnyUrl, NameEmail
from pydantic.types import SecretBytes, SecretStr
from ._compat import PYDANTIC_V2, Url, _model_dump
# Taken from Pydantic v1 as is
def isoformat(o: Union[datetime.date, datetime.time]) -> str:
return o.isoformat()
# Taken from Pydantic v1 as is
# TODO: pv2 should this return strings instead?
def decimal_encoder(dec_value: Decimal) -> Union[int, float]:
"""
Encodes a Decimal as int of there's no exponent, otherwise float
This is useful when we use ConstrainedDecimal to represent Numeric(x,0)
where a integer (but not int typed) is used. Encoding this as a float
results in failed round-tripping between encode and parse.
Our Id type is a prime example of this.
>>> decimal_encoder(Decimal("1.0"))
1.0
>>> decimal_encoder(Decimal("1"))
1
"""
if dec_value.as_tuple().exponent >= 0: # type: ignore[operator]
return int(dec_value)
else:
return float(dec_value)
ENCODERS_BY_TYPE: dict[type[Any], Callable[[Any], Any]] = {
bytes: lambda o: o.decode(),
Color: str,
datetime.date: isoformat,
datetime.datetime: isoformat,
datetime.time: isoformat,
datetime.timedelta: lambda td: td.total_seconds(),
Decimal: decimal_encoder,
Enum: lambda o: o.value,
frozenset: list,
deque: list,
GeneratorType: list,
IPv4Address: str,
IPv4Interface: str,
IPv4Network: str,
IPv6Address: str,
IPv6Interface: str,
IPv6Network: str,
NameEmail: str,
Path: str,
Pattern: lambda o: o.pattern,
SecretBytes: str,
SecretStr: str,
set: list,
UUID: str,
Url: str,
AnyUrl: str,
}
def generate_encoders_by_class_tuples(
type_encoder_map: dict[Any, Callable[[Any], Any]]
) -> dict[Callable[[Any], Any], tuple[Any, ...]]:
encoders_by_class_tuples: dict[Callable[[Any], Any], tuple[Any, ...]] = defaultdict(
tuple
)
for type_, encoder in type_encoder_map.items():
encoders_by_class_tuples[encoder] += (type_,)
return encoders_by_class_tuples
encoders_by_class_tuples = generate_encoders_by_class_tuples(ENCODERS_BY_TYPE)
def jsonable_encoder(
obj: Any,
by_alias: bool = True,
exclude_unset: bool = False,
exclude_defaults: bool = False,
exclude_none: bool = False,
custom_encoder: Optional[dict[Any, Callable[[Any], Any]]] = None,
sqlalchemy_safe: bool = True,
) -> Any:
custom_encoder = custom_encoder or {}
if custom_encoder:
if type(obj) in custom_encoder:
return custom_encoder[type(obj)](obj)
else:
for encoder_type, encoder_instance in custom_encoder.items():
if isinstance(obj, encoder_type):
return encoder_instance(obj)
if isinstance(obj, BaseModel):
# TODO: remove when deprecating Pydantic v1
encoders: dict[Any, Any] = {}
if not PYDANTIC_V2:
encoders = getattr(obj.__config__, "json_encoders", {}) # type: ignore[attr-defined]
if custom_encoder:
encoders.update(custom_encoder)
obj_dict = _model_dump(
obj,
mode="json",
include=None,
exclude=None,
by_alias=by_alias,
exclude_unset=exclude_unset,
exclude_none=exclude_none,
exclude_defaults=exclude_defaults,
)
if "__root__" in obj_dict:
obj_dict = obj_dict["__root__"]
return jsonable_encoder(
obj_dict,
exclude_none=exclude_none,
exclude_defaults=exclude_defaults,
# TODO: remove when deprecating Pydantic v1
custom_encoder=encoders,
sqlalchemy_safe=sqlalchemy_safe,
)
if dataclasses.is_dataclass(obj):
obj_dict = dataclasses.asdict(obj)
return jsonable_encoder(
obj_dict,
by_alias=by_alias,
exclude_unset=exclude_unset,
exclude_defaults=exclude_defaults,
exclude_none=exclude_none,
custom_encoder=custom_encoder,
sqlalchemy_safe=sqlalchemy_safe,
)
if isinstance(obj, Enum):
return obj.value
if isinstance(obj, PurePath):
return str(obj)
if isinstance(obj, str | int | float | type(None)):
return obj
if isinstance(obj, Decimal):
return format(obj, 'f')
if isinstance(obj, dict):
encoded_dict = {}
allowed_keys = set(obj.keys())
for key, value in obj.items():
if (
(
not sqlalchemy_safe
or (not isinstance(key, str))
or (not key.startswith("_sa"))
)
and (value is not None or not exclude_none)
and key in allowed_keys
):
encoded_key = jsonable_encoder(
key,
by_alias=by_alias,
exclude_unset=exclude_unset,
exclude_none=exclude_none,
custom_encoder=custom_encoder,
sqlalchemy_safe=sqlalchemy_safe,
)
encoded_value = jsonable_encoder(
value,
by_alias=by_alias,
exclude_unset=exclude_unset,
exclude_none=exclude_none,
custom_encoder=custom_encoder,
sqlalchemy_safe=sqlalchemy_safe,
)
encoded_dict[encoded_key] = encoded_value
return encoded_dict
if isinstance(obj, list | set | frozenset | GeneratorType | tuple | deque):
encoded_list = []
for item in obj:
encoded_list.append(
jsonable_encoder(
item,
by_alias=by_alias,
exclude_unset=exclude_unset,
exclude_defaults=exclude_defaults,
exclude_none=exclude_none,
custom_encoder=custom_encoder,
sqlalchemy_safe=sqlalchemy_safe,
)
)
return encoded_list
if type(obj) in ENCODERS_BY_TYPE:
return ENCODERS_BY_TYPE[type(obj)](obj)
for encoder, classes_tuple in encoders_by_class_tuples.items():
if isinstance(obj, classes_tuple):
return encoder(obj)
try:
data = dict(obj)
except Exception as e:
errors: list[Exception] = []
errors.append(e)
try:
data = vars(obj)
except Exception as e:
errors.append(e)
raise ValueError(errors) from e
return jsonable_encoder(
data,
by_alias=by_alias,
exclude_unset=exclude_unset,
exclude_defaults=exclude_defaults,
exclude_none=exclude_none,
custom_encoder=custom_encoder,
sqlalchemy_safe=sqlalchemy_safe,
)

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import pydantic
from pydantic import BaseModel
def dump_model(model: BaseModel) -> dict:
if hasattr(pydantic, 'model_dump'):
return pydantic.model_dump(model)
else:
return model.dict()