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从互联网获取股票数据(历史数据,Python + MySQL)

weapon / 1464人阅读

摘要:目标从互联网网易数据接口获取股票历史数据,包括开盘价最高价最低价收盘价等等环境记录数条,以该表为基础,制作清单。

目标

从互联网(网易数据接口)获取股票历史数据,包括开盘价、最高价、最低价、收盘价等等

环境

Python 3.6
MySQL 5.6.34

table: stock_list

记录数:3592 条,以该表为基础,制作 mission 清单。

table: stock_list_20190209( mission list )

从这个表里,每次读取一定数量的记录,依次从互联网上获取。

code: getStockData.py

</>复制代码

  1. """
  2. 《获取股票历史市值》
  3. Created on 2018212
  4. @author: Livon
  5. # 读取 股票列表,含代码及 上市日期、终止上市日期
  6. (1)列表
  7. 每次执行前,手工新建一个当前日期的表,如果存在就删除重建(可能是执行一个存储过程)
  8. 表名:stock_list_20180212 // 股票列表
  9. 表字段:id, 股票代码, 是否顺利完成,获取记录数量
  10. 每次取一条记录,依次执行,中断了,下次可以从中断处继续。
  11. (2)
  12. 每条记录,按指定日期范围进行获取
  13. 再建
  14. # 从网易数据接口拉取市值数据
  15. # 存入表 stock_his_marketCap 中
  16. """
  17. import util
  18. import urllib
  19. import csv
  20. import time
  21. import datetimeUtil
  22. from urllib import request
  23. jobListTable = "stock_list_20180209"
  24. def p( msg ):
  25. print( "%s - %s" % ( datetimeUtil.getDatetime(), msg ))
  26. def startJob():
  27. # 从数据池中读取 n 记录
  28. missionList = util.getMissionList( jobListTable )
  29. # 循环处理上述的 n 条记录
  30. for mission in missionList:
  31. # for value in row:
  32. # print( value )
  33. # 根据记录生成一条 url,一个 url 可以获取几千条日记录
  34. url = util.genUrl( mission )
  35. # url = "http://quotes.money.163.com/service/chddata.html?code=1000001&start=19910401&end=19910409"
  36. # url += "&fields=LCLOSE;TOPEN;HIGH;LOW;TCLOSE;CHG;PCHG;TURNOVER;VOTURNOVER;VATURNOVER;TCAP;MCAP"
  37. # print( dt(), " - ", url )
  38. p( "url: %s" % url )
  39. # 从互联网上获取股票数据
  40. dataList = util.getStockDataList( url )
  41. if( dataList != None ):
  42. # 将数据保存在目标表:股票历史数据表中
  43. insertedRows = util.insertTable( dataList )
  44. # 更新 mission List 状态标志列
  45. util.updateJobList( jobListTable, mission, insertedRows )
  46. else :
  47. p( "csv 文件无数据。" )
  48. p("standby a moment for next mission( you can terminal the program at this time).")
  49. time.sleep(3)
  50. # main
  51. for i in range( 0, 2 ):
  52. p( "startJob: %s" % str(i) )
  53. startJob()
  54. # done
  55. print( "= = = = = = = = = = = = = = = = = = = = = = " )
  56. p( "all done !")
  57. print( "= = = = = = = = = = = = = = = = = = = = = = " )
code: util.py

</>复制代码

  1. """
  2. Created on 2018211
  3. @author: Livon
  4. """
  5. import urllib.request
  6. import re
  7. import pymysql
  8. from urllib import request
  9. # from stock.获取股票历史市值 import datetimeUtil
  10. import datetimeUtil
  11. def p( msg ):
  12. print( "%s - %s" % ( datetimeUtil.getDatetime(), msg ))
  13. # 任务清单,每一次任务会领一份任务清单,清单中的第一项,是一个股票
  14. # 任务:job - 大循环
  15. # 目标:mission - 小目标
  16. # missionList - 目标清单
  17. # getMissionList
  18. # 参数:tableName 表名
  19. def getMissionList( tableName ):
  20. rowsCount = "5" ;
  21. conn = pymysql.connect(host="127.0.0.1", port=3306, user="root", passwd="root", db="stock", charset="utf8")
  22. # 创建游标
  23. # cursor = conn.cursor()
  24. cursor = conn.cursor()
  25. # sql="select * from "+ tableName +" where doneTime is NULL limit " + rowsCount
  26. sql = "select * from %s where doneTime is NULL limit %s" % ( tableName, rowsCount )
  27. cout = cursor.execute(sql)
  28. # print("数量: "+str(cout))
  29. rows = cursor.fetchall();
  30. # rows = conn.cursor().execute( sql ).fetchall()
  31. # for row in rows:
  32. # print("stockCode: "+str(row[0])+" stockName: "+row[1]+" startDate: "+ str(row[2]))
  33. cursor.close()
  34. #
  35. # try:
  36. # #获取一个游标
  37. # with conn.cursor() as cursor:
  38. # sql="select * from "+ tableName +" where doneTime is NULL limit 1"
  39. # cout=cursor.execute(sql)
  40. # print("数量: "+str(cout))
  41. #
  42. # for row in cursor.fetchall():
  43. # #print("%s
  44. %s
  45. %s" %row)
  46. # #注意int类型需要使用str函数转义
  47. # print("stockCode: "+str(row[0])+" stockName: "+row[1]+" startDate: "+ str(row[2]))
  48. # # conn.commit()
  49. #
  50. # finally:
  51. # print( "done" )
  52. cursor.close()
  53. conn.close()
  54. # print( datetimeUtil.getDatetime(), " - 任务清单装载完毕!任务数量:", str( len( rows )) )
  55. # print( "%s - %s missons loaded." % ( datetimeUtil.getDatetime(), str( len( rows )) ) )
  56. p( "%s missons loaded." % str( len( rows ) ))
  57. return rows
  58. # 生成网址
  59. def genUrl( row ):
  60. stockCode = row[0]
  61. startDate = str( row[2] ).replace("-","")
  62. # endDate = ( row[3] == "None" )? "": row[3]
  63. # endDate = ( row[3] == None ) and "" or row[3]
  64. endDate = ( row[3] == None ) and row[3] or ""
  65. dataSource = row[4]
  66. # True and "Fire" or "Water"
  67. # print( row[3] is "None")
  68. # print( row[3] is None )
  69. # print( row[3] is "" )
  70. # print( type( row[3] ) )
  71. # print( type( row[3] ) is None )
  72. # print( type( row[3] ) is "NoneType" )
  73. url = "http://quotes.money.163.com/service/chddata.html?code=%s%s&start=%s&end=%s"
  74. url = url % ( dataSource, stockCode, startDate, endDate )
  75. url += "&fields=LCLOSE;TOPEN;LOW;HIGH;TCLOSE;CHG;PCHG;TURNOVER;VOTURNOVER;VATURNOVER;TCAP;MCAP"
  76. return url
  77. def getCsv( url ):
  78. # csv = csv.decode("gbk")
  79. #
  80. # csv_str = str(csv)
  81. # lines = csv_str.split("
  82. ")
  83. #
  84. # print( len( lines))
  85. return ""
  86. # 从互联网上获取数据
  87. def getStockDataList( url ):
  88. print( datetimeUtil.getDatetime(), " - ", "准备从互联网获取数据 ..." )
  89. # http = urllib3.PoolManager()
  90. # r = http.request("GET", url )
  91. # url="http://www.example.com/"
  92. # headers={"User-Agent":"Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1"}
  93. # try:
  94. # req = urllib3.request(url, headers )
  95. # # req=urllib2.Request(url,headers=headers)
  96. # response = urllib3.request2.urlopen(req)
  97. # except urllib3.exceptions,e:
  98. # print e.reason
  99. dataList = None
  100. try:
  101. response = request.urlopen( url )
  102. csv = response.read()
  103. csv = csv.decode("gbk")
  104. # csv = csv.decode("iso-8859-1")
  105. csv_str = str(csv)
  106. # print( type( csv ))
  107. if( len( csv_str ) < 1 ):
  108. print( "获取失败" )
  109. # print( csv_str )
  110. # lines = csv_str.split("
  111. ")
  112. lines = csv_str.splitlines()
  113. # print( "行数:" + str( len( lines )))
  114. dataList = []
  115. for line in lines:
  116. # print( line )
  117. dataRow = line.split(",")
  118. # print( dataRow[0] )
  119. dataObj = {}
  120. dataObj["日期"] = dataRow[0]
  121. dataObj["股票代码"] = dataRow[1]
  122. dataObj["名称"] = dataRow[2]
  123. dataObj["前收盘"] = dataRow[3]
  124. dataObj["开盘价"] = dataRow[4]
  125. dataObj["最高价"] = dataRow[5]
  126. dataObj["最低价"] = dataRow[6]
  127. dataObj["收盘价"] = dataRow[7]
  128. dataObj["涨跌额"] = dataRow[8]
  129. dataObj["涨跌幅"] = dataRow[9]
  130. dataObj["换手率"] = dataRow[10]
  131. dataObj["成交量"] = dataRow[11]
  132. dataObj["成交金额"] = dataRow[12]
  133. dataObj["总市值"] = dataRow[13]
  134. dataObj["流通市值"] = dataRow[14]
  135. dataList.append(dataObj)
  136. except Exception as e:
  137. print( e )
  138. return dataList
  139. def netEaseUrl( stockCode, startDate, endDate ):
  140. url = "http://quotes.money.163.com/service/chddata.html?code=%s&start=%s&end=%s&fields="
  141. url = url % ( stockCode, startDate, endDate )
  142. print( url )
  143. return url
  144. def receiveCsv( url ):
  145. # http://www.cnblogs.com/sysu-blackbear/p/3629420.html
  146. stockDataResponse = urllib.request.urlopen( url )
  147. stockData = stockDataResponse.read()
  148. # stockData = stockDataResponse.decode("utf8")
  149. stockData = stockData.decode("gb2312")
  150. # stockData = stockData.decode("gb2312")
  151. # print( stockData )
  152. return stockData
  153. """
  154. """
  155. def getStockList():
  156. conn = pymysql.connect(host="127.0.0.1", port=3306, user="root", passwd="root", db="stock", charset="utf8")
  157. # 创建游标
  158. # cursor = conn.cursor()
  159. try:
  160. #获取一个游标
  161. with conn.cursor() as cursor:
  162. sql="select * from stock_list"
  163. cout=cursor.execute(sql)
  164. print("数量: "+str(cout))
  165. for row in cursor.fetchall():
  166. #print("%s
  167. %s
  168. %s" %row)
  169. #注意int类型需要使用str函数转义
  170. print("stockCode: "+str(row[0])+" stockName: "+row[1]+" startDate: "+ str(row[2]))
  171. # conn.commit()
  172. finally:
  173. cursor.close()
  174. conn.close()
  175. def dbStore( str_stocks ):
  176. print( type( str_stocks ))
  177. stocks = re.findall("[(.*?)]",str_stocks )
  178. stocks = re.findall("{(.*?)}",stocks[0])
  179. # 创建连接
  180. conn = pymysql.connect(host="127.0.0.1", port=3306, user="root", passwd="root", db="stock", charset="utf8")
  181. # 创建游标
  182. cursor = conn.cursor()
  183. for i in range( 0, len( stocks ) ):
  184. print( "No." + str(i))
  185. properties = stocks[i].split(",")
  186. # print( properties )
  187. # print( type( properties ))
  188. # effect_rows = insertDb( properties, cursor )
  189. # time.sleep(1)
  190. # 提交,不然无法保存新建或者修改的数据
  191. conn.commit()
  192. # 关闭游标
  193. cursor.close()
  194. # 关闭连接
  195. conn.close()
  196. return ""
  197. def updateJobList( jobListTable, row, insertedRows ):
  198. # 创建连接
  199. conn = pymysql.connect(host="127.0.0.1", port=3306, user="root", passwd="root", db="stock", charset="utf8")
  200. # 创建游标
  201. cursor = conn.cursor()
  202. # otherStyletime == "2013-10-10 23:40:00"
  203. # sql ="update " + jobListTable + " set doneTime = "" + otherStyleTime + "" where stockCode = "" + row[0] + """
  204. sql = "update %s set doneTime = "%s" , receivedRows = %s where stockCode = "%s"" % ( jobListTable, datetimeUtil.getDatetime(), insertedRows, row[0] )
  205. print( datetimeUtil.getDatetime(), " - 更新任务清单:", sql )
  206. effect_row = cursor.execute( sql )
  207. conn.commit()
  208. # 关闭游标
  209. cursor.close()
  210. # 关闭连接
  211. conn.close()
  212. def insertTable( dataList ):
  213. # 创建连接
  214. conn = pymysql.connect(host="127.0.0.1", port=3306, user="root", passwd="root", db="stock", charset="utf8")
  215. # 创建游标
  216. cursor = conn.cursor()
  217. insertedRows = 0
  218. for i in range( 1, len( dataList )):
  219. for (k,v) in dataList[i].items():
  220. # print( "dataList[i][%s]=" % k,v )
  221. # print( v )
  222. if( v == "None" ):
  223. # print("Change to NULL")
  224. dataList[i][k] = "NULL"
  225. # for data in dataList[i]:
  226. # print( data. )
  227. # data = ( data == None ) and data or "NULL"
  228. sql = "INSERT INTO stock_his_data ( "
  229. sql += "日期,"
  230. sql += "股票代码,"
  231. sql += "名称,"
  232. sql += "前收盘,"
  233. sql += "开盘价,"
  234. sql += "最低价,"
  235. sql += "最高价,"
  236. sql += "收盘价,"
  237. sql += "涨跌额,"
  238. sql += "涨跌幅,"
  239. sql += "换手率,"
  240. sql += "成交量,"
  241. sql += "成交金额,"
  242. sql += "总市值,"
  243. sql += "流通市值"
  244. sql += " ) "
  245. sql += "VALUES"
  246. sql += " ( "
  247. sql += """ + dataList[i]["日期"] + "","
  248. sql += """ + dataList[i]["股票代码"]+ "","
  249. sql += """ + dataList[i]["名称"] + "","
  250. sql += dataList[i]["前收盘"] + " ,"
  251. sql += dataList[i]["开盘价"] + " ,"
  252. sql += dataList[i]["最低价"] + " ,"
  253. sql += dataList[i]["最高价"] + " ,"
  254. sql += dataList[i]["收盘价"] + " ,"
  255. sql += dataList[i]["涨跌额"] + " ,"
  256. sql += dataList[i]["涨跌幅"] + " ,"
  257. sql += dataList[i]["换手率"] + " ,"
  258. sql += dataList[i]["成交量"] + " ,"
  259. sql += dataList[i]["成交金额"]+ " ,"
  260. sql += dataList[i]["总市值"] + " ,"
  261. sql += dataList[i]["流通市值"]
  262. sql += " ) "
  263. # print( sql )
  264. effect_row = cursor.execute( sql )
  265. if( effect_row > 0 ):
  266. insertedRows += 1
  267. print( datetimeUtil.getDatetime(), " - 数据数量:", insertedRows )
  268. #
  269. # 提交,不然无法保存新建或者修改的数据
  270. conn.commit()
  271. # 关闭游标
  272. cursor.close()
  273. # 关闭连接
  274. conn.close()
  275. # arr_values = []
  276. # arr_columns = []
  277. #
  278. # for j in range( 0, len( properties) ):
  279. #
  280. # # print( "propertie["+ str(j)+"]: " + properties[j] )
  281. # # key_value = properties[j].split(":")
  282. # # print( key_value[0] + " -> " + key_value[1] )
  283. # key = properties[j][:properties[j].find(":")]
  284. # value = properties[j][properties[j].find(":")+1:]
  285. # value = value.replace(""", "")
  286. # # print( key + " -> " + value )
  287. # # sql += """ + value + """
  288. # arr_columns.append( "`" + key + "`" )
  289. # # arr_columns.append( key )
  290. # arr_values.append( """ + value + """ )
  291. #
  292. # sql = "insert into stock_sina "
  293. # sql = sql + " ( " + ",".join( arr_columns ) + " ) VALUES ( " + ",".join( arr_values ) + " ) "
  294. # print( sql )
  295. # effect_row = cursor.execute( sql )
  296. return insertedRows
code: datetimeUtil.py

</>复制代码

  1. """
  2. Created on 2018214
  3. @author: Livon
  4. """
  5. import time
  6. def getDatetime():
  7. timeArray = time.localtime( time.time() )
  8. otherStyleTime = time.strftime("%Y-%m-%d %H:%M:%S", timeArray)
  9. return otherStyleTime
最终得到的数据:table: stock_his_data

记录总数:9045612(九百万)

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