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Feat: refine dataflow and initialize dataflow app (#9952)
### What problem does this PR solve? Refine dataflow and initialize dataflow app. ### Type of change - [x] New Feature (non-breaking change which adds functionality)
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50
rag/flow/file.py
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50
rag/flow/file.py
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#
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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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#
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from api.db.services.document_service import DocumentService
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from api.db.services.file2document_service import File2DocumentService
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from api.db.services.file_service import FileService
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from rag.flow.base import ProcessBase, ProcessParamBase
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from rag.utils.storage_factory import STORAGE_IMPL
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class FileParam(ProcessParamBase):
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def __init__(self):
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super().__init__()
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def check(self):
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pass
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def get_input_form(self) -> dict[str, dict]:
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return {}
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class File(ProcessBase):
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component_name = "File"
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async def _invoke(self, **kwargs):
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if self._canvas._doc_id:
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e, doc = DocumentService.get_by_id(self._canvas._doc_id)
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if not e:
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self.set_output("_ERROR", f"Document({self._canvas._doc_id}) not found!")
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return
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b, n = File2DocumentService.get_storage_address(doc_id=self._canvas._doc_id)
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self.set_output("blob", STORAGE_IMPL.get(b, n))
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self.set_output("name", doc.name)
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else:
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file = kwargs.get("file")
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self.set_output("name", file["name"])
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self.set_output("blob", FileService.get_blob(file["created_by"], file["id"]))
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