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https://github.com/deepset-ai/haystack.git
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13510aa753
* Files moved, imports all broken * Fix most imports and docstrings into * Fix the paths to the modules in the API docs * Add latest docstring and tutorial changes * Add a few pipelines that were lost in the inports * Fix a bunch of mypy warnings * Add latest docstring and tutorial changes * Create a file_classifier module * Add docs for file_classifier * Fixed most circular imports, now the REST API can start * Add latest docstring and tutorial changes * Tackling more mypy issues * Reintroduce from FARM and fix last mypy issues hopefully * Re-enable old-style imports * Fix some more import from the top-level package in an attempt to sort out circular imports * Fix some imports in tests to new-style to prevent failed class equalities from breaking tests * Change document_store into document_stores * Update imports in tutorials * Add latest docstring and tutorial changes * Probably fixes summarizer tests * Improve the old-style import allowing module imports (should work) * Try to fix the docs * Remove dedicated KnowledgeGraph page from autodocs * Remove dedicated GraphRetriever page from autodocs * Fix generate_docstrings.sh with an updated list of yaml files to look for * Fix some more modules in the docs * Fix the document stores docs too * Fix a small issue on Tutorial14 * Add latest docstring and tutorial changes * Add deprecation warning to old-style imports * Remove stray folder and import Dict into dense.py * Change import path for MLFlowLogger * Add old loggers path to the import path aliases * Fix debug output of convert_ipynb.py * Fix circular import on BaseRetriever * Missed one merge block * re-run tutorial 5 * Fix imports in tutorial 5 * Re-enable squad_to_dpr CLI from the root package and move get_batches_from_generator into document_stores.base * Add latest docstring and tutorial changes * Fix typo in utils __init__ * Fix a few more imports * Fix benchmarks too * New-style imports in test_knowledge_graph * Rollback setup.py * Rollback squad_to_dpr too Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
45 lines
1.0 KiB
Python
45 lines
1.0 KiB
Python
from typing import Dict, List, Optional, Union, Any
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from pydantic import BaseModel, Field
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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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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: 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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