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f98b24c9bf
### What problem does this PR solve? As title ### Type of change - [x] Refactoring --------- Signed-off-by: Jin Hai <haijin.chn@gmail.com>
112 lines
3.9 KiB
Python
112 lines
3.9 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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import random
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from functools import partial
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import trio
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from common.misc_utils import get_uuid
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from rag.utils.base64_image import id2image, image2id
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from deepdoc.parser.pdf_parser import RAGFlowPdfParser
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from rag.flow.base import ProcessBase, ProcessParamBase
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from rag.flow.splitter.schema import SplitterFromUpstream
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from rag.nlp import naive_merge, naive_merge_with_images
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from common import settings
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class SplitterParam(ProcessParamBase):
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def __init__(self):
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super().__init__()
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self.chunk_token_size = 512
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self.delimiters = ["\n"]
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self.overlapped_percent = 0
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def check(self):
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self.check_empty(self.delimiters, "Delimiters.")
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self.check_positive_integer(self.chunk_token_size, "Chunk token size.")
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self.check_decimal_float(self.overlapped_percent, "Overlapped percentage: [0, 1)")
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def get_input_form(self) -> dict[str, dict]:
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return {}
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class Splitter(ProcessBase):
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component_name = "Splitter"
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async def _invoke(self, **kwargs):
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try:
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from_upstream = SplitterFromUpstream.model_validate(kwargs)
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except Exception as e:
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self.set_output("_ERROR", f"Input error: {str(e)}")
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return
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deli = ""
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for d in self._param.delimiters:
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if len(d) > 1:
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deli += f"`{d}`"
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else:
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deli += d
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self.set_output("output_format", "chunks")
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self.callback(random.randint(1, 5) / 100.0, "Start to split into chunks.")
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if from_upstream.output_format in ["markdown", "text", "html"]:
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if from_upstream.output_format == "markdown":
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payload = from_upstream.markdown_result
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elif from_upstream.output_format == "text":
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payload = from_upstream.text_result
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else: # == "html"
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payload = from_upstream.html_result
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if not payload:
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payload = ""
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cks = naive_merge(
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payload,
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self._param.chunk_token_size,
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deli,
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self._param.overlapped_percent,
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)
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self.set_output("chunks", [{"text": c.strip()} for c in cks if c.strip()])
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self.callback(1, "Done.")
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return
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# json
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sections, section_images = [], []
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for o in from_upstream.json_result or []:
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sections.append((o.get("text", ""), o.get("position_tag", "")))
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section_images.append(id2image(o.get("img_id"), partial(settings.STORAGE_IMPL.get, tenant_id=self._canvas._tenant_id)))
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chunks, images = naive_merge_with_images(
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sections,
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section_images,
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self._param.chunk_token_size,
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deli,
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self._param.overlapped_percent,
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)
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cks = [
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{
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"text": RAGFlowPdfParser.remove_tag(c),
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"image": img,
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"positions": [[pos[0][-1]+1, *pos[1:]] for pos in RAGFlowPdfParser.extract_positions(c)],
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}
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for c, img in zip(chunks, images) if c.strip()
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]
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async with trio.open_nursery() as nursery:
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for d in cks:
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nursery.start_soon(image2id, d, partial(settings.STORAGE_IMPL.put, tenant_id=self._canvas._tenant_id), get_uuid())
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self.set_output("chunks", cks)
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self.callback(1, "Done.")
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