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src/DDBfm.py

@@ -3,7 +3,7 @@ import dolphindb.settings as keys
 import numpy as np
 import pandas as pd
 from loguru import logger
-
+import time
 class DDBfm():
 
     ddb_config_servers = {
@@ -36,14 +36,41 @@ class DDBfm():
     ddf_hft_mink_tbname="MinKlinePartitioned"
 
 
-    def __init__(self, which_server='local', **kwargs):
-
+    def __init__(self, which_server='local', pool=False):
+        self.pool=None
+        self.sess =None
         self.hft_db=None
         self.which_server=which_server
         self.ddb_config = self.ddb_config_servers[self.which_server]
 
-        self.sess = ddb.session(self.ddb_config['host'], 8848)
-        self.sess.login(self.ddb_config['username'], self.ddb_config['password'])
+        if not pool:
+            self.sess = ddb.session(self.ddb_config['host'], 8848)
+            self.sess.login(self.ddb_config['username'], self.ddb_config['password'])
+
+        else:
+            self.pool = ddb.DBConnectionPool(self.ddb_config['host'], 8848, 12, self.ddb_config['username'], self.ddb_config['password'])
+
+    def clear_pool(self):
+        if self.pool:
+            while not self.pool.isFinished:
+                logger.info("pool not finished,sleep for 5 seconds.")
+                time.sleep(5)
+            print("pool finished")
+            logger.debug("pool finished")
+            self.pool.shutDown()
+
+    def close_sess(self):
+        if self.pool:
+            while not self.pool.isFinished:
+                logger.info("pool not finished,sleep for 5 seconds.")
+                time.sleep(5)
+            print("pool finished")
+            logger.debug("pool finished")
+            self.pool.shutDown()
+            
+        if self.sess:
+            self.sess.clearAllCache()
+            self.sess.close()
 
     def drop_dbpath(self,dbPath):
         if self.sess.existsDatabase(dbPath): 
@@ -59,7 +86,7 @@ class DDBfm():
         db_init = self.sess.database(dbName='db_init', partitionType=keys.VALUE, partitions=self.all_fm_init, dbPath='')
         
         months=np.array(pd.date_range(start='2000-01', end='2050-12', freq="M"), dtype="datetime64[M]")
-        logger.debug(months)
+        logger.debug(f'created months len: {len(months)}')
 
         db_date = self.sess.database('db_date', partitionType=keys.VALUE, partitions=months, dbPath='')
 
@@ -76,7 +103,7 @@ class DDBfm():
     def create_hft_table(self, tbName, df):
         t = self.sess.table(data=df, tableAliasName=tbName)
         if self.which_server == 'prd':
-            pt = self.hft_db.createPartitionedTable(table=t, tableName=tbName, partitionColumns=['m_nDatetime', 'code_init'],sortColumns=["code","m_nDatetime"])
+            pt = self.hft_db.createPartitionedTable(table=t, tableName=tbName, partitionColumns=['m_nDatetime', 'code_init'],sortColumns=["code","m_nDatetime"],compressMethods={"m_nDatetime":"delta"})
         else:
             pt = self.hft_db.createPartitionedTable(table=t, tableName=tbName, partitionColumns=['m_nDatetime', 'code_init'])
         pt.append(t)
@@ -85,7 +112,14 @@ class DDBfm():
     def append_hft_table(self, tbName, df):
         appender = ddb.tableAppender(tableName=tbName, ddbSession=self.sess,dbPath=self.ddb_hft_dbPath)
         appender.append(df)
-        logger.info(f"sucessfully append some df of {df.shape}")
+        logger.info(f"sucessfully append some df of {df.shape} to {tbName}")
+
+    def append_pool_hft_table(self, tbName, df):
+
+        appender = ddb.PartitionedTableAppender(self.ddb_hft_dbPath, tbName, 'm_nDatetime', self.pool)
+        appender.append(df)
+        logger.info(f"Appending some df of {df.shape} to {tbName}")
+
 
     def search_code_date_in_tb(self,tbName,curr_date,curr_code):
         curr_date_formatted = curr_date[:4]+'.'+curr_date[4:6]+'.'+curr_date[6:]
@@ -96,6 +130,7 @@ class DDBfm():
         try:
             # doing this cuz there's no method to check if a table is empty lol
             cond=f"code=`{curr_code}, m_nDatetime.date()={curr_date_formatted}d"
+            cond=f"code_init=`{curr_code[:2]}, m_nDatetime.date()={curr_date_formatted}d"
             # print(cond)
             df = tb.select('*').where(cond).top(1).toDF()
             if df.empty or df.shape[0]==0:
@@ -104,7 +139,36 @@ class DDBfm():
         except:
             return 0
         return 1
-        
+
+    def load_tb(self,tableName):
+        return self.sess.loadTable(dbPath=self.ddb_hft_dbPath, tableName=tableName)
+
+    def get_missing_code_date_in_tb(self,tb,curr_date,code_list): # code list has to be like all CF
+        curr_date_formatted = curr_date[:4]+'.'+curr_date[4:6]+'.'+curr_date[6:]
+        # print('?did i split this right')
+        # print(curr_date_formatted)
+        # tb = self.sess.loadTable(dbPath=self.ddb_hft_dbPath, tableName=tbName)
+        logger.info(f"Quickly checking if data on {'+'.join(code_list)} {curr_date} exists...") # could do a slow checking of num of data
+        try:
+            # doing this cuz there's no method to check if a table is empty lol
+            # cond=f"code=`{curr_code}, m_nDatetime.date()={curr_date_formatted}d"
+            cond=f"code_init=`{code_list[0][:2]}, m_nDatetime.date()={curr_date_formatted}d"
+            # print(cond)
+            df = tb.select('distinct code').where(cond).toDF()
+            
+            if df.empty or df.shape[0]==0:
+                # print(df)
+                return code_list
+        except:
+            return code_list
+        ddb_code_list = df['distinct_code'].to_list()
+        print(ddb_code_list)
+        return_code_list=[]
+        for c in code_list:
+            if c not in ddb_code_list:
+                return_code_list.append(c)
+        return return_code_list
+    
 
 if __name__ == '__main__':
     pass

src/TSLfm.py

@@ -15,13 +15,13 @@ class TSLfm:
         self.timeout_default=100000000
 
     def __enter__(self):
-        logger.info('Logging in TSL.')
+        logger.debug('Logging in TSL.')
         self.c = pyTSL.Client(TINYSOFT_USERNAME, TINYSOFT_PASSWORD, TINYSOFT_HOSTNAME, 443)
         self.c.login()
         return self
         
     def __exit__(self, exc_type, exc_val, exc_tb):
-        logger.info('Logging out TSL.')
+        logger.debug('Logging out TSL.')
         self.c.logout()
         del(self.c)
 
@@ -215,7 +215,7 @@ class TSLfm:
         if df.empty:
             logger.info('No data on this day.')
             return pd.DataFrame()
-        logger.info(f"Processing new df of shape {df.shape}, which looks like\n{df.head(5)}")
+        logger.debug(f"Processing new df of shape {df.shape}, which looks like\n{df.head(5)}")
 
         # new = df["m_nDatetime"].str.split(" ", n = 1, expand = True)
         df["m_nDatetime"]=df["m_nDatetime"].astype('datetime64')
@@ -229,7 +229,8 @@ class TSLfm:
         for col in ['m_iABFlag']:
             df[col]=df[col].astype(np.int8)
 
-        logger.info(f"Processing done, new df looks like\n{df.head(5)}")
+        logger.info(f"Processing result df of shape {df.shape} done")
+        logger.debug(f"New df looks like\n{df.head(5)}")
 
         return df
 
@@ -238,6 +239,6 @@ if __name__ == '__main__':
     logger.add("../logs/{time:YYYYMMDD-HHmmss}_TSLfm.log", rotation="10 MB", compression="zip", level="INFO")
 
     with TSLfm() as tsl:
-        t_list=['T2212']
+        t_list=['CF2211']
         df = tsl.process_result_data_type(tsl.get_mkt_min_k('20221031','20221101',t_list))
         print(df)

src/data_loader.py

@@ -8,8 +8,7 @@ ROOT_DIR = abspath(join(dirname(abspath(__file__)), ".."))
 from loguru import logger
 logger.remove()
 logger.add(sys.stderr, level="INFO")
-logger.add(ROOT_DIR+"/logs/{time:YYYYMMDD-HHmmss}"+f"_{running_which_env}.log", rotation="10 MB", compression="zip", level="INFO")
-
+logger.add(ROOT_DIR+"/logs/{time:YYYYMMDD-HHmmss}"+f"_{running_which_env}.log", rotation="10 MB", compression="zip", level="DEBUG")
 
 
 import pandas as pd
@@ -37,15 +36,84 @@ def run_add_1day_code_init_minKline(date,code_list):
         logger.info(f'Getting a df of {df.shape}: {code_list[0][:-4]} on {date}')
         ddb.append_hft_table(ddb.ddf_hft_mink_tbname,df)
     
-def run_create_db_minKline():
-    date = '20221101'
+# def run_pool_add_byday_code_init_minKline(date_list,code_list):
+#     df_list=[]
+#     code_list_filtered=code_list
+#     ddb1 = DDBfm(running_which_env)
+
+#     tb=ddb1.load_tb(tableName=ddb1.ddf_hft_mink_tbname)
+#     # tb=ddb1.sess.loadTable(dbPath=ddb1.ddb_hft_dbPath, tableName=ddb1.ddf_hft_mink_tbname)
+#     for date in date_list:
+#         with TSLfm() as tsl:
+#             df = tsl.process_result_data_type(tsl.get_mkt_min_k(date,date,code_list))
+#         if df.empty:
+#             continue
+
+#         code_list_filtered = ddb1.get_missing_code_date_in_tb(tb,date,code_list)
+#         if len(code_list_filtered)==0:
+#             continue
+#         logger.info(f"getting {'+'.join(code_list_filtered)} on {date}")
+
+#         df=df[df['code'].isin(code_list_filtered)]
+#         df_list.append(df)
+#     ddb1.close_sess()
+#     del ddb1
+
+#     if df_list:
+#         df_all = pd.concat(df_list)
+
+#         ddb2 = DDBfm(running_which_env,pool=True)
+#         logger.info(f'Getting a df of {df_all.shape}: {code_list[0][:-4]} on {"+".join(date_list)}')
+#         ddb2.append_pool_hft_table(ddb2.ddf_hft_mink_tbname,df_all)
+#         ddb2.clear_pool()
+#         del ddb2
+
+
+def run_pool_add_byday_code_init_tick(date_list,code_list):
+    df_list=[]
+    code_list_filtered=code_list
+    for date in date_list:
+
+        ddb1 = DDBfm(running_which_env)
+        code_list_filtered = ddb1.get_missing_code_date_in_tb(ddb1.ddf_hft_mink_tbname,date,code_list)
+        if len(code_list_filtered)==0:
+            continue
+        logger.info(f"getting {'+'.join(code_list_filtered)} on {date}")
+        ddb1.close_sess()
+        del ddb1
+
+        with TSLfm() as tsl:
+            df = tsl.process_result_data_type(tsl.get_trade_tick(date,date,code_list_filtered))
+        if not df.empty:
+            df_list.append(df)
+    df_all = pd.concat(df_list)
+
+    ddb2 = DDBfm(running_which_env,pool=True)
+    logger.info(f'Getting a df of {df_all.shape}: {code_list[0][:-4]} on {"+".join(date_list)}')
+    ddb2.append_pool_hft_table(ddb2.ddf_hft_tick_tbname,df_all)
+    ddb2.close_sess()
+    del ddb2
+
+
+def run_create_hft_db(date = '20221101'):
+
+    ddb = DDBfm(running_which_env)
+    ddb.create_hft_database()
+
     with TSLfm() as tsl:
         code_list=['T2212']
-        df = tsl.process_result_data_type(tsl.get_mkt_min_k(date,date,code_list))
+        df_mink = tsl.process_result_data_type(tsl.get_mkt_min_k(date,date,code_list))
         # print(df)
-    ddb = DDBfm(running_which_env)
-    ddb.create_hft_database()
-    ddb.create_hft_table(ddb.ddf_hft_mink_tbname,df)
+    ddb.create_hft_table(ddb.ddf_hft_mink_tbname,df_mink)
+
+    with TSLfm() as tsl:
+        code_list=['T2212']
+        df_tick = tsl.process_result_data_type(tsl.get_trade_tick(date,date,code_list))
+        # print(df)
+
+    ddb.create_hft_table(ddb.ddf_hft_tick_tbname,df_tick)
+
+
     
 def run():
 
@@ -60,38 +128,79 @@ def run():
     # print(all_code_dict_by_init)
 
     start_date='2022-09-30'
-    end_date='2022-11-09'
+    end_date='2022-10-31'
     allDates = pd.date_range(start_date, end_date, freq ='D')
     allDates = [i.replace('-','') for i in list(allDates.astype('str'))]
 
     for date in allDates:
-        for code_init in all_code_dict_by_init:
+        for ind,code_init in enumerate(all_code_dict_by_init):
+            logger.info(f"Getting {code_init} (no.{ind})")
             code_list = all_code_dict_by_init[code_init]
 
             run_add_1day_code_init_minKline(date,code_list)
 
 
-    # date = '20221101'
-    # with TSLfm() as tsl:
-    #     # code_list = tsl.get_code_list("国债期货")
-    #     # code_list += tsl.get_code_list("股指期货")
-    #     # code_list += tsl.get_code_list("上市期货")
-    #     # code_list=sorted(list(set(code_list)))
-
-    #     # print(code_list_pickel)
-    #     code_list=['CF2211']
-    #     df = tsl.process_result_data_type(tsl.get_mkt_min_k(date,date,code_list))
-    #     print(df)
 
-    # ddb = DDBfm('prd')
-    # ddb.create_hft_database()
-    # ddb.create_hft_table(ddb.ddf_hft_mink_tbname,df)
     
-    # if ddb.search_code_date_in_tb(ddb.ddf_hft_mink_tbname,date,'CF2211'):
-        # logger.warning(f"Possible duplicates on {date} and ")
+def run_pool_dates_by_code_init_n_group(typ='mink',group_amount=10,start_date='20220101',end_date='20221031'):
+    logger.info("Running run_pool_dates_by_group")
+    all_code_dict_by_init={}
+    for c in code_list_pickel:
+        init = c[:-4]
+        if init in all_code_dict_by_init:
+            all_code_dict_by_init[init].append(c)
+        else:
+            all_code_dict_by_init[init]=[c]
+
+    # print(all_code_dict_by_init)
+
+
+    allDates = pd.date_range(start_date, end_date, freq ='D')
+    dates_dict_by_day={}
+
+    for d in list(allDates.astype('str')):
+        group_no = int(d[-2:])%group_amount
+        if group_no not in dates_dict_by_day:
+            dates_dict_by_day[group_no] = [d.replace('-','')]
+        else:
+            dates_dict_by_day[group_no].append(d.replace('-',''))
+
+    logger.debug(dates_dict_by_day)
+
+
+    for group_no in dates_dict_by_day:
+        date_list=dates_dict_by_day[group_no]
+        num_of_init = len(all_code_dict_by_init)
+        for ind,code_init in enumerate(all_code_dict_by_init):
+            # done: 'T','TS','TS','TF'
+            if code_init  in ['T']: # todo filtered this ,,'TF', 'IC','IF','IH','IM'
+                logger.info(f"Getting {code_init} (no.{ind}/{num_of_init} of group {group_no}/{group_amount})")
+                code_list = all_code_dict_by_init[code_init]
+                if typ=='mink':
+                    # logger.info('Running mink')
+                    logger.error('mink by day to be fixed')
+
+                    # run_pool_add_byday_code_init_minKline(date_list,code_list)
+                elif typ=='tick':
+                    logger.info('Running tick')
+                    run_pool_add_byday_code_init_tick(date_list,code_list)
+
 
-    # ddb.append_hft_table(ddb.ddf_hft_mink_tbname,df)
 
 if __name__ == '__main__':
-    run()
-    # run_create_db_minKline()
+    # run()
+    
+    # run_create_hft_db() # including two tables
+
+    import time
+    tic = time.perf_counter()
+    run_pool_dates_by_code_init_n_group(typ='tick')
+    # run_pool_dates_by_code_init_n_group(typ='mink',group_amount=5)
+
+    toc = time.perf_counter()
+
+    logger.info(f"Running used {toc - tic:0.4f} seconds")
+
+    # all t taks  Running used 588.5782 seconds for 10 months
+    # 600/60=10 min 12min for take code_init
+    # 12* 71 = 850 min / 60 = 15 hr for all code for each year

test/test.dos

@@ -7,9 +7,16 @@ loadTable("dfs://hft_stock_ts","KLinePartitioned")
 listTables("dfs:/hft_futuremarket_ts");
 
 pt=loadTable("dfs://hft_futuremarket_ts","MinKlinePartitioned")
-select top 40 * from pt
+pt=loadTable("dfs://hft_futuremarket_ts","TickPartitioned")
+
+select top 40 * from pt where code=`T2212 and m_nDatetime.date() >=2022.01.01d
+select top 4 * from pt where code_init=`TS and m_nDatetime.date()>=2022.01.01d
+select distinct m_nDatetime.date() from pt where code=`AP2211 
 
 select count(*) from loadTable("dfs://hft_futuremarket_ts", "MinKlinePartitioned")
+select count(*) from loadTable("dfs://hft_futuremarket_ts", "TickPartitioned")
+
+select top 40 * from pt
 schema(pt)
 
 n=1000000