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Copy pathstrawberry_type.py
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107 lines (78 loc) · 2.61 KB
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import base64
import json
from typing import List, Dict, Union, NewType, Any, Optional
import numpy as np
import strawberry
from ..math.ndarray import to_list
_ProtoValueType = Union[bool, float, str]
_StructValueType = Union[
_ProtoValueType, List[_ProtoValueType], Dict[str, _ProtoValueType]
]
JSONScalar = strawberry.scalar(
NewType('JSONScalar', Any),
serialize=lambda v: v,
parse_value=lambda v: json.loads(v),
description="The GenericScalar scalar type represents a generic GraphQL scalar value that could be: List or Object.",
)
Base64 = strawberry.scalar(
NewType('Base64', bytes),
serialize=lambda v: base64.b64encode(v).decode('utf-8'),
parse_value=lambda v: base64.b64decode(v.encode('utf-8')),
)
NdArray = strawberry.scalar(
NewType('NdArray', bytes),
serialize=lambda v: to_list(v),
parse_value=lambda v: np.array(v),
)
### interface
@strawberry.interface
class _NamedScoreInterface:
value: Optional[float] = None
op_name: Optional[str] = None
description: Optional[str] = None
ref_id: Optional[str] = None
@strawberry.interface
class _BaseStrawberryDocumentInterface:
id: Optional[str] = None
parent_id: Optional[str] = None
granularity: Optional[int] = None
adjacency: Optional[int] = None
blob: Optional[Base64] = None
tensor: Optional[NdArray] = None
mime_type: Optional[str] = None
text: Optional[str] = None
weight: Optional[float] = None
uri: Optional[str] = None
tags: Optional[JSONScalar] = None
offset: Optional[float] = None
location: Optional[List[float]] = None
embedding: Optional[NdArray] = None
modality: Optional[str] = None
### type
@strawberry.type
class _NamedScore(_NamedScoreInterface):
...
@strawberry.type
class _NameScoreItem:
name: str
score: _NamedScore
@strawberry.type
class StrawberryDocument(strawberry.type(_BaseStrawberryDocumentInterface)):
evaluations: Optional[List[_NameScoreItem]] = None
scores: Optional[List[_NameScoreItem]] = None
chunks: Optional[List['StrawberryDocument']] = None
matches: Optional[List['StrawberryDocument']] = None
### input
@strawberry.input
class _NamedScoreInput(_NamedScoreInterface):
...
@strawberry.input
class _NameScoreItemInput:
name: str
score: _NamedScoreInput
@strawberry.input
class StrawberryDocumentInput(strawberry.input(_BaseStrawberryDocumentInterface)):
evaluations: Optional[List[_NameScoreItemInput]] = None
scores: Optional[List[_NameScoreItemInput]] = None
chunks: Optional[List['StrawberryDocumentInput']] = None
matches: Optional[List['StrawberryDocumentInput']] = None