ragflow/rag/llm/ocr_model.py
user210 035e8ced98 feat: MinerU integration with environment-based configuration
- Add MinerU PDF parser support via external API or local installation
- Configure MinerU through environment variables (MINERU_APISERVER, etc.)
- Add per-dataset MinerU settings: language, formula/table recognition
- Add MinerU config form fields in Knowledge Base settings
- Remove MinerU from LLM factories (not a typical LLM model)
- Clean up unused ingestors tab from settings
2025-12-11 19:56:46 +02:00

106 lines
4.1 KiB
Python

#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import logging
import os
from io import BytesIO
from os import PathLike
from typing import Callable, Optional
from deepdoc.parser.mineru_parser import MinerUParser
class Base:
def __init__(self, key: str | dict, model_name: str, **kwargs):
self.model_name = model_name
def parse_pdf(
self,
filepath: str | PathLike[str],
binary: BytesIO | bytes,
callback: Optional[Callable] = None,
*,
output_dir: Optional[str] = None,
backend: str = "pipeline",
lang: Optional[str] = None,
method: str = "auto",
server_url: Optional[str] = None,
delete_output: bool = True,
parse_method: str = "raw",
formula_enable: bool = True,
table_enable: bool = True,
) -> tuple:
raise NotImplementedError("Please implement parse_pdf!")
class MinerUOcrModel(Base, MinerUParser):
_FACTORY_NAME = "MinerU"
def __init__(self, key: str | dict, model_name: str, **kwargs):
Base.__init__(self, key, model_name, **kwargs)
# Use environment variables directly - no database config needed
self.mineru_api = os.environ.get("MINERU_APISERVER", "")
self.mineru_output_dir = os.environ.get("MINERU_OUTPUT_DIR", "")
self.mineru_backend = os.environ.get("MINERU_BACKEND", "pipeline")
self.mineru_server_url = os.environ.get("MINERU_SERVER_URL", "")
self.mineru_delete_output = os.environ.get("MINERU_DELETE_OUTPUT", "1") == "1"
self.mineru_executable = os.environ.get("MINERU_EXECUTABLE", "mineru")
logging.info(f"MinerU config from env: api={self.mineru_api}, backend={self.mineru_backend}, server_url={self.mineru_server_url}")
MinerUParser.__init__(self, mineru_path=self.mineru_executable, mineru_api=self.mineru_api, mineru_server_url=self.mineru_server_url)
def check_available(self, backend: Optional[str] = None, server_url: Optional[str] = None) -> tuple[bool, str]:
backend = backend or self.mineru_backend
server_url = server_url or self.mineru_server_url
return self.check_installation(backend=backend, server_url=server_url)
def parse_pdf(
self,
filepath: str | PathLike[str],
binary: BytesIO | bytes,
callback: Optional[Callable] = None,
*,
output_dir: Optional[str] = None,
backend: str = "pipeline",
lang: Optional[str] = None,
method: str = "auto",
server_url: Optional[str] = None,
delete_output: bool = True,
parse_method: str = "raw",
formula_enable: bool = True,
table_enable: bool = True,
) -> tuple:
ok, reason = self.check_available()
if not ok:
raise RuntimeError(f"MinerU not found or server not accessible: {reason}. Please install it via: pip install -U 'mineru[core]'.")
sections, tables = MinerUParser.parse_pdf(
self,
filepath=filepath,
binary=binary, # type: ignore[arg-type]
callback=callback,
output_dir=output_dir or self.mineru_output_dir,
backend=backend or self.mineru_backend,
lang=lang,
method=method,
server_url=server_url or self.mineru_server_url,
delete_output=delete_output if delete_output is not None else self.mineru_delete_output,
parse_method=parse_method,
formula_enable=formula_enable,
table_enable=table_enable,
)
return sections, tables