提交 bf1890e2 作者: 薛凌堃

经营分析

上级 87f0bc9a
import pymysql
import pymysql
import redis
import requests
import pandas as pd
from bs4 import BeautifulSoup
import re
import time
import numpy as np
import json
import datetime
import BaseCore
baseCore = BaseCore.BaseCore()
log = baseCore.getLogger()
import concurrent.futures
import random
from datetime import datetime
cnx = pymysql.connect(host='114.116.44.11', user='caiji', password='f7s0&7qqtK', db='clb_project', charset='utf8mb4')
cursor= cnx.cursor()
# log = baseCore.getLogger()
# 将采集后的股票代码对应的报告期保存进redis
# def add_date(com_code,i):
# r = redis.Redis(host="114.115.236.206", port=6379, password='clbzzsn',db=3)
# # json_cwsj = json.dumps(dic_cwsj)
# res = r.sadd('com_jingyingfenxi_code::'+com_code, i) # 注意是 保存set的方式
#
# def get_i():
# r = redis.Redis(host="114.115.236.206", port=6379, password='clbzzsn', db=3)
# i = r.get('com_jingyingfenxi_code::'+com_code)
def operate_analysis(i,com_code,social_code):
com_start = time.time()
list_code = [] # 股票代码
list_time = [] # 数据时间
list_zygc = [] # 主营构成
list_income = [] # 主营收入
list_income_sca = [] # 收入比例
list_chengben = [] # 主营成本
list_chengben_sca = [] # 成本比例
list_lirun = [] # 主营利润
list_lirun_sca = [] # 利润比例
list_maolilv = [] # 毛利率
list_category = [] # 类别
url_com = 'https://emweb.eastmoney.com/PC_HSF10/BusinessAnalysis/PageAjax?code={}'.format(com_code)
json_com = requests.get(url_com).json()
try:
list_all_info = json_com['zygcfx']
except:
list_all_info = ''
log.info(f'{com_code}---->{url_com}')
if list_all_info:
for one_info in list_all_info:
if "2017" in one_info['REPORT_DATE']: # 只要19年之后的数据
break
if one_info['MAINOP_TYPE'] == '1':
list_category.append('按行业分类')
if one_info['MAINOP_TYPE'] == '2':
list_category.append('按产品分类')
if one_info['MAINOP_TYPE'] == '3':
list_category.append('按地区分类')
select_sql = f'''select stock_code from operation_analysis_copy1 where stock_code = %s and date = '{one_info['REPORT_DATE'][:10]}' '''
y = cursor.execute(select_sql, com_code[2:])
if y:
i += 1
log.info(f'{com_code}--{one_info["REPORT_DATE"][:10]}--已入库')
# log.info('=========================')
continue
else:
log.info(f'{com_code}--{one_info["REPORT_DATE"][:10]}--开始采集')
try:
list_code.append(com_code[2:])
except:
list_code.append("--")
try:
list_time.append(one_info['REPORT_DATE'][:10])
except:
list_time.append("--")
try:
list_zygc.append(one_info['ITEM_NAME'])
except:
list_zygc.append("--")
try:
list_income.append(str(one_info['MAIN_BUSINESS_INCOME']) + "元")
except:
list_income.append("--")
try:
list_income_sca.append(str(str(round(one_info['MBI_RATIO'] * 100, 2)) + "%"))
except:
list_income_sca.append("--")
try:
list_chengben.append(str(one_info['MAIN_BUSINESS_COST']) + "元")
except:
list_chengben.append("--")
try:
list_chengben_sca.append(str(str(round(one_info['MBC_RATIO'] * 100, 2)) + "%"))
except:
list_chengben_sca.append("--")
try:
list_lirun.append(str(one_info['MAIN_BUSINESS_RPOFIT']) + "元")
except:
list_lirun.append("--")
try:
list_lirun_sca.append(str(str(round(one_info['MBR_RATIO'] * 100, 2)) + "%"))
except:
list_lirun_sca.append("--")
try:
list_maolilv.append(str(str(round(one_info['GROSS_RPOFIT_RATIO'] * 100, 2)) + "%"))
except:
list_maolilv.append("--")
com_end = time.time()
log.info(f'{com_code} 企业采集用时:{com_end-com_start}')
list_updata = []
send_start = time.time()
for code, zygc, income, income_sca, chengben, chengben_sca, lirun, lirun_sca, maolilv, time_, category in zip(
list_code, list_zygc, list_income,
list_income_sca, list_chengben, list_chengben_sca, list_lirun, list_lirun_sca, list_maolilv, list_time,
list_category):
dic_cwsj = {
"stockCode": code,
"mainComposition": zygc,
"mainIncome": income,
"incomeRatio": income_sca,
"mainCost": chengben,
"costRatio": chengben_sca,
"mainProfit": lirun,
"profitRatio": lirun_sca,
"grossProfitMargin": maolilv,
"date": time_,
"category": category,
}
# for nnn in range(0, 3):
# try:
# add_date(com_code,dic_cwsj)
# break
# except Exception as e:
# log.error(e)
# time.sleep(1)
list_updata.append(dic_cwsj)
print(list_updata)
print("{}---{}:获取完成".format(i,com_code))
time.sleep(1)
json_updata = json.dumps(list_updata)
#192.168.1.77 114.115.236.206
try:
response = requests.post('http://114.115.236.206:9988/datapull/sync/operationAnalysis', data=json_updata,
timeout=300,
verify=False)
time.sleep(3)
print(f'{com_code}',response.text)
except Exception as e:
print(e)
send_end = time.time()
log.info(f'{com_code} 传入接口用时:{send_end-send_start}')
return com_code,list_code, list_zygc, list_income,list_income_sca, list_chengben, list_chengben_sca, list_lirun, list_lirun_sca, list_maolilv, list_time,list_category
else:
return
df_all = pd.read_excel('D:/kkwork/zzsn_spider/data/上市企业(有财务数据)清单.xlsx',dtype=str)
list_non = []
i = 1
while True:
if i>=len(df_all):
log.info('采集已完成')
break
start_time = time.time()
com_code_ = df_all['股票代码'][i]
social_code = df_all['信用代码'][i]
num = len(com_code_)
if 'HK' in com_code_:
# com_code = com_code_.split('.')[0]
i+=1
continue
else:
if num != 6:
com_code1 = '0' * (6 - num) + com_code_
else:
com_code1 = com_code_
# 股票代码0、2、3开头的为深圳交易所,6、9开头的为上海交易所,8开头的为北京交易所
if com_code1[0] == '2' or com_code1[0] == '0' or com_code1[0] == '3':
com_code = 'sz' + com_code1
elif com_code1[0] == '9' or com_code1[0] == '6':
com_code = 'sh' + com_code1
elif com_code1[0] == '8' or com_code1[0] == '4':
com_code = 'bj' + com_code1
else:
log.error(f'{com_code_},{social_code}:无法获取正确的股票代码!')
list_updata = []
# # 判断该条信息是否已经采集过
# select_sql = '''select stock_code from operation_analysis_copy1 where stock_code = %s'''
# y = cursor.execute(select_sql, com_code[2:])
# if y:
# i += 1
# log.info(f'{com_code}----已入库')
# log.info('=========================')
# continue
#开始采集
try:
com_code,list_code, list_zygc, list_income,list_income_sca, list_chengben, list_chengben_sca, list_lirun, list_lirun_sca, list_maolilv, list_time,list_category = operate_analysis(i,com_code,social_code)
except Exception as e:
log.info(f'{com_code}----该企业无信息')
dic_non = {
'股票代码': com_code,
'信用代码': social_code
}
list_non.append(dic_non)
i += 1
continue
k=1
# for code, zygc, income, income_sca, chengben, chengben_sca, lirun, lirun_sca, maolilv, time_, category in zip(
# list_code, list_zygc, list_income,
# list_income_sca, list_chengben, list_chengben_sca, list_lirun, list_lirun_sca, list_maolilv, list_time,
# list_category):
# timestamp = time.time()
# create_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(timestamp))
# current_time = datetime.now()
# # random_number = random.randint(100,999)
# if k<10:
#
# id = f"{current_time.strftime('%Y%m%d%H%M%S%f')}{'00'}{k}"
# elif k<100:
# id = f"{current_time.strftime('%Y%m%d%H%M%S%f')}{'0'}{k}"
# else:
# id = f"{current_time.strftime('%Y%m%d%H%M%S%f')}{k}"
# # milliseconds = 100
# # seconds = milliseconds / 1000
# # time.sleep(seconds)
# k+=1
# dic_cwsj = {
# "id":id,
# "stockCode": code,
# "mainComposition": zygc,
# "mainIncome": income,
# "incomeRatio": income_sca,
# "mainCost": chengben,
# "costRatio": chengben_sca,
# "mainProfit": lirun,
# "profitRatio": lirun_sca,
# "grossProfitMargin": maolilv,
# "date": time_,
# "category": category,
# "create_time":create_time
# }
# # dic_cwsj = [
# # id,
# # code,
# # zygc,
# # income,
# # income_sca,
# # chengben,
# # chengben_sca,
# # lirun,
# # lirun_sca,
# # maolilv,
# # time_,
# # category,
# # create_time
# # ]
# #
# list_updata.append(dic_cwsj)
# log.info(f'当前数据量-----------{len(list_updata)}')
# # if len(list_updata)==0:
# # dic_non = {
# # '股票代码':com_code,
# # '信用代码':social_code
# # }
# # list_non.append(dic_non)
# # send_start = time.time()
# #插入数据
#
# # for info in list_updata:
# # try:
# # insert_sql = '''insert into operation_analysis (id,stock_code,main_composition,main_income,income_ratio,main_cost,cost_ratio,main_profit,profit_ratio,gross_profit_margin,date,category,create_time) values (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)'''
# # cursor.execute(insert_sql, info)
# # cnx.commit()
# # except Exception as e:
# # current_time = datetime.now()
# # id = f"{current_time.strftime('%Y%m%d%H%M%S%f')}{'000'}"
# # insert_sql = '''insert into operation_analysis (id,stock_code,main_composition,main_income,income_ratio,main_cost,cost_ratio,main_profit,profit_ratio,gross_profit_margin,date,category,create_time) values (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)'''
# # cursor.execute(insert_sql, info)
# # cnx.commit()
# # # print(e)
# # print("{}---{}:获取完成".format(i, com_code))
# # time.sleep(1)
# json_updata = json.dumps(list_updata)
# # 192.168.1.77 114.115.236.206
# send_start = time.time()
# for nnn in range(0,5):
# try:
# response = requests.post('http://114.115.236.206:9988/datapull/sync/operationAnalysis', data=json_updata)
# break
# except Exception as e:
# time.sleep(60)
# print(f'{com_code}', response.text)
#
# send_end = time.time()
# log.info(f'{com_code} 传入接口用时:{send_end - send_start}')
# # log.info(f'{com_code} 插入数据库用时:{send_end - send_start}')
# log.info('==========================')
# i += 1
# end_time = time.time()
# log.info(f'企业经营分析采集用时:{end_time-start_time}')
break
# df_non = pd.DataFrame(list_non)
# df_non.to_excel('无经营分析数据企业.xlsx',index=False)
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