doc_process.py
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import os
import time
import fitz
import xlwt
import signal
import base64
import asyncio
import aiohttp
from PIL import Image
from io import BytesIO
from django.core.management import BaseCommand
from common.mixins import LoggerMixin
from common.redis_cache import redis_handler as rh
from common.tools.file_tools import write_zip_file
from apps.doc.models import DocStatus, HILDoc, AFCDoc
from apps.doc import consts
from settings import conf
class Command(BaseCommand, LoggerMixin):
def __init__(self):
super().__init__()
self.log_base = '[doc process]'
# 处理文件开关
self.switch = True
# 数据目录
self.data_dir = conf.DATA_DIR
# pdf页面转图片
self.zoom_x = 2.0
self.zoom_y = 2.0
self.trans = fitz.Matrix(self.zoom_x, self.zoom_y).preRotate(0) # zoom factor 2 in each dimension
# ocr相关
self.ocr_url = conf.OCR_URL
self.ocr_header = {
'X-Auth-Token': conf.OCR_TOKEN,
'Content-Type': 'application/json'
}
# 优雅退出信号：15
signal.signal(signal.SIGTERM, self.signal_handler)
def signal_handler(self, sig, frame):
self.switch = False # 停止处理文件
def get_doc_info(self):
task_str, is_priority = rh.dequeue()
if task_str is None:
self.cronjob_log.info('{0} [get_doc_info] [queue empty]'.format(self.log_base))
return None, None, None, None
business_type, doc_id_str = task_str.split('_')
doc_id = int(doc_id_str)
doc_class = HILDoc if business_type == consts.HIL_PREFIX else AFCDoc
doc_info = doc_class.objects.filter(id=doc_id, status=DocStatus.INIT.value).values(
'id', 'metadata_version_id', 'document_name').first()
if doc_info is None:
self.cronjob_log.warn('{0} [get_doc_info] [doc completed] [task_str={1}] [is_priority={2}]'.format(
self.log_base, task_str, is_priority))
return None, None, None, None
doc_class.objects.filter(id=doc_id).update(status=DocStatus.PROCESSING.value)
self.cronjob_log.info('{0} [get_doc_info] [task_str={1}] [is_priority={2}] [doc_info={3}]'.format(
self.log_base, task_str, is_priority, doc_info))
return doc_info, doc_class, doc_id, business_type
def pdf_download(self, doc_id, doc_info, business_type):
if doc_info is None:
return None, None, None
# TODO EDMS下载pdf
# pdf_path = '/Users/clay/Desktop/biz/biz_logic/data/2/横版-表格-工商银行CH-B008802400.pdf'
# doc_data_path = os.path.dirname(pdf_path)
doc_data_path = os.path.join(self.data_dir, business_type, str(doc_id))
pdf_path = os.path.join(doc_data_path, '{0}.pdf'.format(doc_id))
excel_path = os.path.join(doc_data_path, '{0}.xls'.format(doc_id))
self.cronjob_log.info('{0} [pdf download success] [business_type={1}] [doc_info={2}] [pdf_path={3}]'.format(
self.log_base, business_type, doc_info, pdf_path))
return doc_data_path, excel_path, pdf_path
@staticmethod
def append_sheet(wb, sheets_list, img_name):
for i, sheet in enumerate(sheets_list):
ws = wb.add_sheet('{0}_{1}'.format(img_name, i))
cells = sheet.get('cells')
for cell in cells:
c1 = cell.get('start_column')
c2 = cell.get('end_column')
r1 = cell.get('start_row')
r2 = cell.get('end_row')
label = cell.get('words')
ws.write_merge(r1, r2, c1, c2, label=label)
@staticmethod
def get_ocr_json(img_path):
with open(img_path, "rb") as f:
base64_data = base64.b64encode(f.read())
return {'imgBase64': base64_data.decode('utf-8')}
async def fetch_ocr_result(self, img_path):
async with aiohttp.ClientSession(
headers=self.ocr_header, connector=aiohttp.TCPConnector(ssl=False)
) as session:
json_data = self.get_ocr_json(img_path)
async with session.post(self.ocr_url, json=json_data) as response:
return await response.json()
async def img_ocr_excel(self, wb, img_path):
res = await self.fetch_ocr_result(img_path)
self.cronjob_log.info('{0} [fetch ocr result success] [img={1}] [res={2}]'.format(self.log_base, img_path, res))
sheets_list = res.get('result').get('res')
img_name = os.path.basename(img_path)
self.append_sheet(wb, sheets_list, img_name)
@staticmethod
def getimage(pix):
if pix.colorspace.n != 4:
return pix
tpix = fitz.Pixmap(fitz.csRGB, pix)
return tpix
def recoverpix(self, doc, item):
x = item[0] # xref of PDF image
s = item[1] # xref of its /SMask
is_rgb = True if item[5] == 'DeviceRGB' else False
# RGB
if is_rgb:
if s == 0:
return doc.extractImage(x)
# we need to reconstruct the alpha channel with the smask
pix1 = fitz.Pixmap(doc, x)
pix2 = fitz.Pixmap(doc, s) # create pixmap of the /SMask entry
# sanity check
if not (pix1.irect == pix2.irect and pix1.alpha == pix2.alpha == 0 and pix2.n == 1):
pix2 = None
return self.getimage(pix1)
pix = fitz.Pixmap(pix1) # copy of pix1, alpha channel added
pix.setAlpha(pix2.samples) # treat pix2.samples as alpha value
pix1 = pix2 = None # free temp pixmaps
return self.getimage(pix)
# GRAY/CMYK
pix1 = fitz.Pixmap(doc, x)
pix = fitz.Pixmap(pix1) # copy of pix1, alpha channel added
if s != 0:
pix2 = fitz.Pixmap(doc, s) # create pixmap of the /SMask entry
# sanity check
if not (pix1.irect == pix2.irect and pix1.alpha == pix2.alpha == 0 and pix2.n == 1):
pix2 = None
return self.getimage(pix1)
pix.setAlpha(pix2.samples) # treat pix2.samples as alpha value
pix1 = pix2 = None # free temp pixmaps
pix = fitz.Pixmap(fitz.csRGB, pix) # GRAY/CMYK to RGB
return self.getimage(pix)
@staticmethod
def get_img_data(pix):
if type(pix) is dict: # we got a raw image
ext = pix["ext"]
img_data = pix["image"]
else: # we got a pixmap
ext = 'png'
img_data = pix.getPNGData()
return ext, img_data
@staticmethod
def split_il(il):
img_il_list = []
start = 0
length = len(il)
for i in range(length):
if i == start:
if i == length - 1:
img_il_list.append(il[start: length])
continue
elif i == length - 1:
img_il_list.append(il[start: length])
continue
if il[i][2] != il[i - 1][2]:
img_il_list.append(il[start: i])
start = i
elif il[i][3] != il[i - 1][3]:
img_il_list.append(il[start: i + 1])
start = i + 1
return img_il_list
def handle(self, *args, **kwargs): # TODO 调用接口重试
sleep_second = 5
max_sleep_second = 60
while self.switch:
# 从队列获取文件信息
doc_info, doc_class, doc_id, business_type = self.get_doc_info()
# 从EDMS获取PDF文件
doc_data_path, excel_path, pdf_path = self.pdf_download(doc_id, doc_info, business_type)
# 队列为空时的处理
if pdf_path is None:
time.sleep(sleep_second)
sleep_second = min(max_sleep_second, sleep_second+5)
continue
sleep_second = 5
try:
# PDF文件提取图片
img_save_path = os.path.join(doc_data_path, 'img')
os.makedirs(img_save_path, exist_ok=True)
img_path_list = []
with fitz.Document(pdf_path) as pdf:
self.cronjob_log.info('{0} [pdf_path={1}] [metadata={2}]'.format(
self.log_base, pdf_path, pdf.metadata))
# xref_list = [] # TODO 图片去重 特殊pdf：如电子发票
for pno in range(pdf.pageCount):
il = pdf.getPageImageList(pno)
il.sort(key=lambda x: x[0])
img_il_list = self.split_il(il)
del il
if len(img_il_list) > 3: # 单页无规律小图过多时，使用页面转图片
page = pdf.loadPage(pno)
pm = page.getPixmap(matrix=self.trans, alpha=False)
save_path = os.path.join(img_save_path, 'page_{0}_img_0.png'.format(page.number))
pm.writePNG(save_path)
img_path_list.append(save_path)
self.cronjob_log.info('{0} [page to img success] [doc_id={1}] [pdf_path={2}] '
'[page={3}]'.format(self.log_base, doc_id, pdf_path, page.number))
else: # 提取图片
for img_index, img_il in enumerate(img_il_list):
if len(img_il) == 1: # 当只有一张图片时， 简化处理
pix = self.recoverpix(pdf, img_il[0])
ext, img_data = self.get_img_data(pix)
save_path = os.path.join(img_save_path, 'page_{0}_img_{1}.{2}'.format(
pno, img_index, ext))
with open(save_path, "wb") as f:
f.write(img_data)
img_path_list.append(save_path)
self.cronjob_log.info(
'{0} [extract img success] [doc_id={1}] [pdf_path={2}] [page={3}] '
'[img_index={4}]'.format(self.log_base, doc_id, pdf_path, pno, img_index))
else: # 多张图片，竖向拼接
height_sum = 0
im_list = []
width = img_il[0][2]
for img in img_il:
# xref = img[0]
# if xref in xref_list:
# continue
height = img[3]
pix = self.recoverpix(pdf, img)
ext, img_data = self.get_img_data(pix)
# xref_list.append(xref)
im = Image.open(BytesIO(img_data))
im_list.append((height, im, ext))
height_sum += height
save_path = os.path.join(img_save_path, 'page_{0}_img_{1}.{2}'.format(
pno, img_index, im_list[0][2]))
res = Image.new(im_list[0][1].mode, (width, height_sum))
h_now = 0
for h, m, _ in im_list:
res.paste(m, box=(0, h_now))
h_now += h
res.save(save_path)
img_path_list.append(save_path)
self.cronjob_log.info(
'{0} [extract img success] [doc_id={1}] [pdf_path={2}] [page={3}] '
'[img_index={4}]'.format(self.log_base, doc_id, pdf_path, pno, img_index))
self.cronjob_log.info('{0} [pdf to img success] [doc_id={1}]'.format(self.log_base, doc_id))
write_zip_file(img_save_path, os.path.join(doc_data_path, '{0}_img.zip'.format(doc_id)))
# 图片调用算法判断是否为银行流水, 图片调用算法OCR为excel文件
wb = xlwt.Workbook()
loop = asyncio.get_event_loop()
tasks = [self.img_ocr_excel(wb, img_path) for img_path in img_path_list]
loop.run_until_complete(asyncio.wait(tasks))
# loop.close()
wb.save(excel_path) # TODO no sheet (res always [])
# 整合excel文件
# 上传至EDMS
except Exception as e:
doc_class.objects.filter(id=doc_id).update(status=DocStatus.PROCESS_FAILED.value)
self.cronjob_log.error('{0} [process failed] [doc_id={1}] [err={2}]'.format(self.log_base, doc_id, e))
else:
doc_class.objects.filter(id=doc_id).update(status=DocStatus.COMPLETE.value)
self.cronjob_log.info('{0} [doc process complete] [doc_id={1}]'.format(self.log_base, doc_id))
self.cronjob_log.info('{0} [stop safely]'.format(self.log_base))