# encoding: utf-8
# 版权所有 2023 涂聚文有限公司
# 许可信息查看:
# 描述:
# Author : geovindu,Geovin Du 涂聚文.
# IDE : PyCharm 2023.1 python 311
# Datetime : 2023/9/30 6:56
# User : geovindu
# Product : PyCharm
# Project : pythonTkinterDemo
# File : BaiduOCRAPI.py
# explain : 学习
import os
import base64
import requests
import pandas as pd
import json
class BaiduOCR(object):
"""
利用百度API读取发票信息(pdf,image文件)
"""
AppID="40226401"
APIKey="geovindu"
SecretKey="geovindu"
def __init__(self):
"""
"""
self.AppID="40226401"
self.APIKey="geovindu" #
self.SecretKey="geovindu" #
def getAccessToken(self):
"""
:param APIKey:
:param SecretKey:
:return:
"""
'''
host = f"https://aip.baidubce.com/oauth/2.0/token?client_secret={self.SecretKey}&grant_type=client_credentials&client_id={self.APIKey}"
response = requests.get(host)
return response.json()['access_token']
'''
url = "https://aip.baidubce.com/oauth/2.0/token"
params = {"grant_type": "client_credentials", "client_id": self.APIKey, "client_secret": self.SecretKey}
return str(requests.post(url, params=params).json().get("access_token"))
def getContent(self,accessToken, pdfFile):
"""
:param accessToken
:param pdfFile:
:return:
"""
#headers = {'content-type': 'application/x-www-form-urlencoded'}
#request_url = f"https://aip.baidubce.com/rest/2.0/ocr/v1/vat_invoice?access_token={accessToken}"
f = open(pdfFile, 'rb')
pdf = base64.b64encode(f.read())
print(pdf)
print(accessToken)
request_url = f"https://aip.baidubce.com/rest/2.0/ocr/v1/vat_invoice"
params = {"pdf_file": pdf}
access_token =accessToken # '[调用鉴权接口获取的token]'
request_url = request_url + "?access_token=" + access_token
headers = {'content-type': 'application/x-www-form-urlencoded'}
response = requests.post(request_url, data=params, headers=headers)
if response:
print(response.json())
#print(pdf)
#params = {"pdf_file": pdf}
#response = requests.post(request_url, data=params, headers=headers)
#print(response.json())
return response.json()
def getContentPng(self,accessToken, pngFile):
"""
:param accessToken
:param pngFile:
:return:
"""
#headers = {'content-type': 'application/x-www-form-urlencoded'}
#request_url = f"https://aip.baidubce.com/rest/2.0/ocr/v1/vat_invoice?access_token={accessToken}"
f = open(pngFile, 'rb')
pdf = base64.b64encode(f.read())
print(pdf)
print(accessToken)
request_url = f"https://aip.baidubce.com/rest/2.0/ocr/v1/vat_invoice"
params = {"image": pdf}
access_token =accessToken # '[调用鉴权接口获取的token]'
request_url = request_url + "?access_token=" + access_token
headers = {'content-type': 'application/x-www-form-urlencoded'}
response = requests.post(request_url, data=params, headers=headers)
if response:
print(response.json())
#print(pdf)
#params = {"pdf_file": pdf}
#response = requests.post(request_url, data=params, headers=headers)
#print(response.json())
return response.json()
def getUsefulInfo(self,content, pdf_name):
"""
:param content
:param pdf_name:
:return:
"""
jsonstr = content
print("Json",jsonstr)
words_result = jsonstr['words_result']
info = {'发票文件名': pdf_name,
'发票号码': str(words_result['InvoiceNum']),
'开票日期': words_result['InvoiceDate'],
'货物名称': words_result['CommodityName'][0]['word'],
'未税金额': words_result['CommodityAmount'][0]['word'],
'货物税率': words_result['CommodityTaxRate'][0]['word'],
'货物税额': words_result['CommodityTax'][0]['word'],
'合计金额': words_result['TotalAmount'],
'合计税额': words_result['TotalTax'],
'价税合计(小写)': words_result['AmountInFiguers'],
'价税合计(大写)': words_result['AmountInWords'],
'销售方名称': words_result['SellerName'],
'销售方纳税人识别号': words_result['SellerRegisterNum'],
'销售方银行及账户': words_result['SellerBank'],
'销售方地址及电话': words_result['SellerAddress']}
return info
调用:用京东多张发票测试成功
ocr=Common.BaiduOCRAPI.BaiduOCR()
pdfFilelist = os.listdir("invoice/")
infolist = []
for pdfFile in pdfFilelist:
if pdfFile.split(".")[-1] == 'pdf':
pdfName = pdfFile.split(".")[:-1]
print(pdfFile)
access_token =ocr.getAccessToken()
content = ocr.getContent(access_token, "invoice/" + pdfFile)
info = ocr.getUsefulInfo(content, pdfName)
infolist.append(info)
df = pd.DataFrame(infolist)
print(df)
#df.to_excel('增值税发票信息统计.xlsx', sheet_name="geovindu",index=False)
with pd.ExcelWriter('geovindu.xlsx') as writer: #, mode='a' 附加
df.to_excel(writer, sheet_name='geovindu', index=False)