Langchain-Chatchat/document_loaders/mypdfloader.py

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from typing import List
from langchain.document_loaders.unstructured import UnstructuredFileLoader
from configs import PDF_OCR_THRESHOLD,logger
from document_loaders.ocr import get_ocr
#PDF_OCR_THRESHOLD= (0.6,0.6)
#from ocr import get_ocr
import tqdm
import re
class RapidOCRPDFLoader(UnstructuredFileLoader):
def _get_elements(self) -> List:
def pdf2text(filepath):
import fitz # pyMuPDF里面的fitz包不要与pip install fitz混淆
import numpy as np
ocr = get_ocr()
doc = fitz.open(filepath)
resp = ""
b_unit = tqdm.tqdm(total=doc.page_count, desc="RapidOCRPDFLoader context page index: 0")
for i, page in enumerate(doc):
b_unit.set_description("RapidOCRPDFLoader context page index: {}".format(i))
b_unit.refresh()
print(f"****page:{i+1}****")
text = page.get_text("")
text_lines = text.strip().split("\n")
logger.debug(f"文字内容:{text_lines}")
img_list = page.get_image_info(xrefs=True)
ocr_result = []
for img in img_list:
if xref := img.get("xref"):
bbox = img["bbox"]
# 检查图片尺寸是否超过设定的阈值
if ((bbox[2] - bbox[0]) / (page.rect.width) < PDF_OCR_THRESHOLD[0]
or (bbox[3] - bbox[1]) / (page.rect.height) < PDF_OCR_THRESHOLD[1]):
continue
pix = fitz.Pixmap(doc, xref)
img_array = np.frombuffer(pix.samples, dtype=np.uint8).reshape(pix.height, pix.width, -1)
result, _ = ocr(img_array)
if result:
ocr_result = [line[1] for line in result]
logger.debug(f"图片内容:{ocr_result}")
#resp += "\n".join(ocr_result)
if (len(ocr_result)>0):
resp += "\n".join(ocr_result)
else:
if text_lines:
# 假设页码在最后一行
if text_lines[-1].isdigit():
text = "\n".join(text_lines[:-1])
logger.debug(f"******去除了页码")
resp += text + "\n"
# 更新进度
b_unit.update(1)
resp = re.sub(r'((?<!.)\d+(?!\.|[a-zA-Z0-9]))', r"\1 ", resp)
resp = re.sub(r'((?<!.)[a-zA-Z0-9]+\s*\.\s*[a-zA-Z0-9]+(?!\.|[a-zA-Z0-9]))', r"\1 ", resp)
resp = re.sub(r'((?<!.)[a-zA-Z0-9]+\s*\.\s*[a-zA-Z0-9]+\s*\.\s*[a-zA-Z0-9]+(?!\.|[a-zA-Z0-9]))', r"\1 ", resp)
return resp
text = pdf2text(self.file_path)
from unstructured.partition.text import partition_text
return partition_text(text=text, **self.unstructured_kwargs)
if __name__ == "__main__":
loader = RapidOCRPDFLoader(file_path="/Users/wangvivi/Desktop/Work/思极GPT/数字化部/图片版pdf数据/变电站集中监控验收技术导则.pdf")
#loader = RapidOCRPDFLoader(file_path="/Users/wangvivi/Desktop/Work/思极GPT/数字化部/原PDF文档/设备/AQ80012007.pdf")
#loader = RapidOCRPDFLoader(file_path="/Users/wangvivi/Desktop/Work/思极GPT/数字化部/原PDF文档/设备/DL4081991.pdf")
#loader = RapidOCRPDFLoader(file_path="/Users/wangvivi/Desktop/Work/思极GPT/数字化部/原PDF文档/设备/AQ80032007.pdf")
docs = loader.load()
print(docs)