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0d9c1f1c3c
### What problem does this PR solve? Dataflow supports Spreadsheet and Word processor document ### Type of change - [x] New Feature (non-breaking change which adds functionality)
38 lines
1.5 KiB
Python
38 lines
1.5 KiB
Python
#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import Any, Literal
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from pydantic import BaseModel, ConfigDict, Field
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class ChunkerFromUpstream(BaseModel):
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created_time: float | None = Field(default=None, alias="_created_time")
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elapsed_time: float | None = Field(default=None, alias="_elapsed_time")
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name: str
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blob: bytes
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output_format: Literal["json", "markdown", "text", "html"] | None = Field(default=None)
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json_result: list[dict[str, Any]] | None = Field(default=None, alias="json")
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markdown_result: str | None = Field(default=None, alias="markdown")
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text_result: str | None = Field(default=None, alias="text")
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html_result: list[str] | None = Field(default=None, alias="html")
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model_config = ConfigDict(populate_by_name=True, extra="forbid")
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# def to_dict(self, *, exclude_none: bool = True) -> dict:
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# return self.model_dump(by_alias=True, exclude_none=exclude_none)
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