修正天勤数据接口不能正常获取数据的bug

examples/TqDataService/config.json

@@ -1,8 +1,4 @@
 {
 	"MONGO_HOST": "localhost",
-	"MONGO_PORT": 27017,
-
-	"SYMBOLS": ["IF1710", "IF1711", "IF1712", "IF1803", 
-				"IH1710", "IH1711", "IH1712", "IH1803", 
-				"IC1710", "IC1711", "IC1712", "IC1803"]
+	"MONGO_PORT": 27017
 }

examples/TqDataService/dataService.py

@@ -18,7 +18,6 @@ setting = json.load(config)
 
 MONGO_HOST = setting['MONGO_HOST']
 MONGO_PORT = setting['MONGO_PORT']
-SYMBOLS = setting['SYMBOLS']
 
 mc = MongoClient(MONGO_HOST, MONGO_PORT)        # Mongo连接
 db = mc[MINUTE_DB_NAME]                         # 数据库
@@ -80,16 +79,16 @@ def downMinuteBarBySymbol(symbol, num):
     api.subscribe_chart(symbol, 60, num, onChart)
     
 #----------------------------------------------------------------------
-def downloadAllMinuteBar(num):
+def downloadAllMinuteBar(num, symbols):
     """下载所有配置中的合约的分钟线数据"""
     print '-' * 50
     print u'开始下载合约分钟线数据'
     print '-' * 50
     
     # 添加下载任务
-    taskList.extend(SYMBOLS)
+    taskList.extend(symbols)
     
-    for symbol in SYMBOLS:
+    for symbol in symbols:
         downMinuteBarBySymbol(str(symbol), num)
     
     while True:

examples/TqDataService/downloadData.py

@@ -2,10 +2,16 @@
 
 """
 立即下载数据到数据库中，用于手动执行更新操作。
+
+注意: 请先在本机启动天勤终端 (0.8.0 以上版本) 并保持运行, 再执行本程序
 """
 
 from dataService import *
 
 
+
 if __name__ == '__main__':
-    downloadAllMinuteBar(1000)
+    symbols = ["CFFEX.IF1710", "CFFEX.IF1711", "CFFEX.IF1712", "CFFEX.IF1803",
+                "CFFEX.IH1710", "CFFEX.IH1711", "CFFEX.IH1712", "CFFEX.IH1803",
+                "CFFEX.IC1710", "CFFEX.IC1711", "CFFEX.IC1712", "CFFEX.IC1803"]
+    downloadAllMinuteBar(1000, symbols)

examples/TqDataService/runService.py

@@ -2,6 +2,8 @@
 
 """
 定时服务，可无人值守运行，实现每日自动下载更新历史行情数据到数据库中。
+
+注意: 请确保本程序运行时, 本机天勤终端 (0.8.0 以上版本)正在运行中
 """
 
 import time
@@ -15,7 +17,11 @@ if __name__ == '__main__':
     
     # 生成一个随机的任务下载时间，用于避免所有用户在同一时间访问数据服务器
     taskTime = datetime.time(hour=17, minute=0)
-    
+
+    symbols = ["CFFEX.IF1710", "CFFEX.IF1711", "CFFEX.IF1712", "CFFEX.IF1803",
+                "CFFEX.IH1710", "CFFEX.IH1711", "CFFEX.IH1712", "CFFEX.IH1803",
+                "CFFEX.IC1710", "CFFEX.IC1711", "CFFEX.IC1712", "CFFEX.IC1803"]
+
     # 进入主循环
     while True:
         t = datetime.datetime.now()
@@ -23,7 +29,7 @@ if __name__ == '__main__':
         # 每天到达任务下载时间后，执行数据下载的操作
         if t.time() > taskTime and (taskCompletedDate is None or t.date() != taskCompletedDate):
             # 下载1000根分钟线数据，足以覆盖过去两天的行情
-            downloadAllMinuteBar(1000)
+            downloadAllMinuteBar(1000, symbols)
             
             # 更新任务完成的日期
             taskCompletedDate = t.date()

vnpy/data/tq/vntq.py

@@ -277,4 +277,5 @@ class TqApi(object):
     def _generate_chart_id(self, ins_id, duration_seconds):
         """生成图表编号"""
         chart_id = "VN_%s_%d" % (ins_id, duration_seconds)
+        chart_id = chart_id.replace(".", "_")
         return chart_id