mirror of
https://github.com/deepset-ai/haystack.git
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d470b9d0bd
* Fist attempt at using setup.cfg for dependency management * Trying the new package on the CI and in Docker too * Add composite extras_require * Add the safe_import function for document store imports and add some try-catch statements on rest_api and ui imports * Fix bug on class import and rephrase error message * Introduce typing for optional modules and add type: ignore in sparse.py * Include importlib_metadata backport for py3.7 * Add colab group to extra_requires * Fix pillow version * Fix grpcio * Separate out the crawler as another extra * Make paths relative in rest_api and ui * Update the test matrix in the CI * Add try catch statements around the optional imports too to account for direct imports * Never mix direct deps with self-references and add ES deps to the base install * Refactor several paths in tests to make them insensitive to the execution path * Include tstadel review and re-introduce Milvus1 in the tests suite, to fix * Wrap pdf conversion utils into safe_import * Update some tutorials and rever Milvus1 as default for now, see #2067 * Fix mypy config Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
50 lines
1.2 KiB
Python
50 lines
1.2 KiB
Python
from typing import Dict, List, Optional, Union, Any
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from pydantic import BaseModel, Field, Extra
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from haystack.schema import Answer, Document, Label, Span
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from pydantic import BaseConfig
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from pydantic.dataclasses import dataclass as pydantic_dataclass
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try:
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from typing import Literal
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except ImportError:
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from typing_extensions import Literal #type: ignore
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BaseConfig.arbitrary_types_allowed = True
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class QueryRequest(BaseModel):
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query: str
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params: Optional[dict] = None
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debug: Optional[bool] = False
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class Config:
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# Forbid any extra fields in the request to avoid silent failures
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extra = Extra.forbid
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class FilterRequest(BaseModel):
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filters: Optional[Dict[str, Optional[Union[str, List[str]]]]] = None
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@pydantic_dataclass
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class AnswerSerialized(Answer):
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context: Optional[str] = None
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@pydantic_dataclass
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class DocumentSerialized(Document):
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content: str
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embedding: Optional[List[float]]
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@pydantic_dataclass
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class LabelSerialized(Label):
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document: DocumentSerialized
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answer: Optional[AnswerSerialized] = None
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class QueryResponse(BaseModel):
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query: str
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answers: List[AnswerSerialized]
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documents: Optional[List[DocumentSerialized]]
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debug: Optional[Dict] = Field(None, alias="_debug")
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