update getting index line

src/code_list_all_pkl.py

@@ -1,5 +1,5 @@
 all_fm_init_curr=['sc', 'v', 'TS', 'MA', 'AP', 'jm', 'bc', 'bb', 'fu', 'IM', 'IF', 'a', 'lu', 'FG', 'cu', 'al', 'IH', 'RS', 'pg', 'CF', 'SF', 'ni', 'hc', 'UR', 'm', 'SR', 'j', 'PF', 'RM', 'T', 'c', 'JR', 'l', 'p', 'sp', 'CY', 'pb', 'TF', 'b', 'eg', 'rb', 'PK', 'sn', 'nr', 'pp', 'CJ', 'eb', 'SA', 'y', 'RI', 'lh', 'jd', 'OI', 'WH', 'ss', 'ru', 'zn', 'fb', 'rr', 'PM', 'au', 'TA', 'ZC', 'IC', 'bu', 'SM', 'wr', 'cs', 'LR', 'ag', 'i']
-
+tsl_ind_codeinit_mapping={'ICInd': 'IC', 'IFInd': 'IF', 'IHInd': 'IH', 'IMInd': 'IM', 'TInd': 'T', 'TFInd': 'TF', 'TSInd': 'TS', 'QI000001': 'al', 'QI000002': 'au', 'QI000003': 'cu', 'QI000004': 'fu', 'QI000005': 'ru', 'QI000006': 'zn', 'QI000007': 'CF', 'QI000009': 'RO', 'QI000010': 'SR', 'QI000011': 'TA', 'QI000012': 'WS', 'QI000013': 'WT', 'QI000014': 'a', 'QI000015': 'b', 'QI000016': 'c', 'QI000017': 'l', 'QI000018': 'm', 'QI000019': 'p', 'QI000020': 'y', 'QI000021': 'ER', 'QI000022': 'wr', 'QI000023': 'rb', 'QI000024': 'v', 'QI000025': 'pb', 'QI000026': 'j', 'QI000027': 'ME', 'QI000028': 'ag', 'QI000029': 'FG', 'QI000030': 'RS', 'QI000031': 'RM', 'QI000032': 'jm', 'QI000033': 'bu', 'QI000034': 'i', 'QI000035': 'ZC', 'QI000036': 'fb', 'QI000037': 'bb', 'QI000038': 'JR', 'QI000039': 'jd', 'QI000040': 'hc', 'QI000041': 'pp', 'QI000042': 'LR', 'QI000043': 'SF', 'QI000044': 'SM', 'QI000045': 'cs', 'QI000046': 'ni', 'QI000047': 'sn', 'QI000048': 'CY', 'QI000049': 'AP', 'QI000050': 'sc', 'QI000051': 'sp', 'QI000052': 'eg', 'QI000053': 'CJ', 'QI000054': 'nr', 'QI000055': 'UR', 'QI000056': 'rr', 'QI000057': 'ss', 'QI000058': 'eb', 'QI000059': 'SA', 'QI000060': 'pg', 'QI000061': 'lu', 'QI000062': 'PF', 'QI000063': 'bc', 'QI000064': 'lh', 'QI000065': 'PK'}
 code_init_case_mapping={'ap': 'AP',
  'fg': 'FG',
  'rm': 'RM',

src/data_loader.py

@@ -1,12 +1,13 @@
-from code_list_all_pkl import code_list as code_list_pickel_from_file, all_fm_init_curr
+from code_list_all_pkl import code_list as code_list_pickel_from_file, all_fm_init_curr,tsl_ind_codeinit_mapping
 from TSLfm import TSLfm
 from DDBfm import DDBfm
 import pandas as pd
+import numpy as np
 from loguru import logger
 from os.path import dirname, abspath, join
 import sys
 
-running_which_env = 'prd'
+running_which_env = 'dev'
 
 
 def run_add_1day_code_init_minKline(date, code_list):
@@ -32,6 +33,12 @@ def run_add_1day_code_init_minKline(date, code_list):
             f'Getting a df of {df.shape}: {"+".join(code_list)} on {date}')
         ddb.append_hft_table(ddb.ddf_hft_mink_tbname, df)
 
+def map_code_tsl_to_9999indcode(code_tsl):
+    if code_tsl in tsl_ind_codeinit_mapping:
+        return tsl_ind_codeinit_mapping[code_tsl]+'9999'
+    else:
+        logger.error(f'TSL code didnt find mapping for {code_tsl}')
+        return np.nan
 
 def check_if_date_codelist_exists(typ, date, code_list):
     code_list_filtered=[]
@@ -47,7 +54,7 @@ def check_if_date_codelist_exists(typ, date, code_list):
 
     if typ == 'tick':
         tbName = ddb1.ddf_hft_tick_tbname
-    elif typ == 'mink':
+    elif typ in ['mink','indl']:
         tbName = ddb1.ddf_hft_mink_tbname
 
     code_list_filtered = ddb1.get_missing_code_date_in_tb(
@@ -64,15 +71,26 @@ def check_if_date_codelist_exists(typ, date, code_list):
 
 
 
+
+
 def run_pool_add_by_datelist_codeinit(typ, date_list, code_list, if_check=1):
     df_list = []
 
+    if typ=='indl':
+        code_list_filtered = [] # real code in ddb
+        code_list_tsl_code=[]
+        for c in code_list:
+            code_list_filtered.append(map_code_tsl_to_9999indcode(c))
+            code_list_tsl_code.append(c)
+
+    else:
+        code_list_filtered= code_list
     for date in date_list:
         if if_check:
             code_list_filtered = check_if_date_codelist_exists(
-                typ, date, code_list)
+                typ, date, code_list_filtered)
-        else:
+
-            code_list_filtered = code_list
+
         with TSLfm() as tsl:
             if typ == 'tick':
                 df = tsl.process_result_data_type(
@@ -80,6 +98,15 @@ def run_pool_add_by_datelist_codeinit(typ, date_list, code_list, if_check=1):
             elif typ == 'mink':
                 df = tsl.process_result_data_type(
                     tsl.get_mkt_min_k(date, date, code_list_filtered))
+            elif typ == 'indl':
+                df = tsl.process_result_data_type(
+                    tsl.get_mkt_min_k(date, date, code_list_tsl_code))
+
+        if typ == 'indl' and not df.empty:
+            # df.rename(columns={'code':'code_tsl'},inplace=True)
+            df['code']=df['code'].apply(map_code_tsl_to_9999indcode)
+            df['code_init']=df['code'].apply(lambda x: x[:-4])
+            # df.drop('code_tsl',axis=1,inplace=True)
         if not df.empty:
             df_list.append(df)
     if not df_list:
@@ -91,7 +118,7 @@ def run_pool_add_by_datelist_codeinit(typ, date_list, code_list, if_check=1):
         f'Getting a df of {df_all.shape}: {code_list[0][:-4]} on {"+".join(date_list)}')
     if typ == 'tick':
         ddb2.append_pool_hft_table(ddb2.ddf_hft_tick_tbname, df_all)
-    elif typ == 'mink':
+    elif typ in ['mink','indl']:
         ddb2.append_pool_hft_table(ddb2.ddf_hft_mink_tbname, df_all)
     ddb2.close_sess()
     del ddb2
@@ -149,6 +176,8 @@ def run():
 
 def run_pool_dates_by_code_init_n_group(typ='mink', code_gp_amt=10, date_gp_amt=10, start_date='20220101', end_date='20221031', if_check=1, code_dict_by='init'):
     logger.info("Running run_pool_dates_by_group")
+
+    if typ in ['mink','tick']:
         code_list_pickel=code_list_pickel_from_file
         code_list_pickel=sorted(list(set(code_list_pickel)))
         all_code_dict_by_init = {}
@@ -163,7 +192,6 @@ def run_pool_dates_by_code_init_n_group(typ='mink', code_gp_amt=10, date_gp_amt=
                     all_code_dict_by_init[init] = [c]
             else:
                 logger.warning("There's unrecognized code init!!!!")
-
         if code_dict_by == 'init':
             all_code_dict = all_code_dict_by_init
         if code_dict_by == 'group':
@@ -176,6 +204,19 @@ def run_pool_dates_by_code_init_n_group(typ='mink', code_gp_amt=10, date_gp_amt=
                     all_code_dict_by_group_no[group_no] += all_code_dict_by_init[code_init]
             all_code_dict = all_code_dict_by_group_no
             
+    elif typ in ['indl']:
+        tsl_ind_code_list = []
+        real_code_init_list = []
+        all_code_dict={}
+        for c in sorted(tsl_ind_codeinit_mapping):
+            if tsl_ind_codeinit_mapping[c] in all_fm_init_curr:
+                tsl_ind_code_list.append(c)
+                real_code_init_list.append(tsl_ind_codeinit_mapping[c])
+                all_code_dict[tsl_ind_codeinit_mapping[c]]=[c]
+            else:
+                logger.warning(f"There's unrecognized code init: {tsl_ind_codeinit_mapping[c]}!!!!")
+
+
     allDates = pd.date_range(start_date, end_date, freq='D')
     dates_dict_by_day = {}
 
@@ -199,16 +240,9 @@ def run_pool_dates_by_code_init_n_group(typ='mink', code_gp_amt=10, date_gp_amt=
             code_list = all_code_dict[code_init]
             logger.info(date_list)
             logger.info(code_list)
-            if typ == 'mink':
-                # logger.info('Running mink')
             run_pool_add_by_datelist_codeinit(
-                    'mink', date_list, code_list, if_check)
+                    typ, date_list, code_list, if_check)
 
-                # run_pool_add_byday_code_init_minKline(date_list,code_list)
-            elif typ == 'tick':
-                logger.info('Running tick')
-                run_pool_add_by_datelist_codeinit(
-                    'tick', date_list, code_list, if_check)
 
 
 if __name__ == '__main__':
@@ -231,12 +265,12 @@ if __name__ == '__main__':
         split_code_into_howmany_groups_no = int(split_code_into_howmany_groups_no)
         split_date_into_howmany_groups=int(split_date_into_howmany_groups)
     else:
-        typ = 'tick'
+        typ = 'indl'
-        st_d = '20211201'
+        st_d = '20221101'
-        en_d = '20211231'
+        en_d = '20221101'
         if_check = True
-        split_code_into_howmany_groups_no = 20
+        split_code_into_howmany_groups_no = 1 # how many in 1 gp
-        split_date_into_howmany_groups = 5
+        split_date_into_howmany_groups = 1
 
 
     logger.add(ROOT_DIR+"/logs/{time:YYYYMMDD-HHmmss}"+f"_{running_which_env}_{typ}_{st_d}_{en_d}_{if_check}_{split_code_into_howmany_groups_no}_{split_date_into_howmany_groups}.log",

src/data_loader_zl.py

@@ -6,7 +6,7 @@ from loguru import logger
 from os.path import dirname, abspath, join
 import sys
 
-running_which_env = 'prd'
+running_which_env = 'dev'
 
 
 def get_code_init_og_code(code):
@@ -21,13 +21,13 @@ def process_zl_cl_data(df_zl, df_cl):
     df_zl.rename(columns={0: 'code_dom'}, inplace=True)
     df_zl['code_dom'] = df_zl['code_dom'].apply(get_code_init_og_code)
     df_zl['code_init'] = df_zl['code_dom'].apply(lambda x: x[:-4])
-    # print(df_zl)
+    print(df_zl)
 
     df_cl.dropna(inplace=True)
     df_cl.rename(columns={0: 'code_cont'}, inplace=True)
     df_cl['code_cont'] = df_cl['code_cont'].apply(get_code_init_og_code)
     df_cl['code_init'] = df_cl['code_cont'].apply(lambda x: x[:-4])
-    # print(df_cl)
+    print(df_cl)
 
     df_cl_new_list = []
     for ci, cigp in df_cl.groupby("code_init"):
@@ -44,6 +44,8 @@ def process_zl_cl_data(df_zl, df_cl):
         for i, cont in enumerate(all_cont):
             df_cont.loc[0, cont_ind_list[i]] = cont
         df_cl_new_list.append(df_cont)
+    if not df_cl_new_list:
+        return pd.DataFrame()
     df_cl_new = pd.concat(df_cl_new_list)
     # print(df_cl_new)
     return pd.merge(df_zl, df_cl_new, on='code_init')
@@ -137,21 +139,28 @@ def run_pool_append_zl_table_in_db(start_date, end_date, if_check=True):
 
 
 if __name__ == '__main__':
-
+    import time
-    typ = 'dailydom'
-    st_d = '20220101'
-    en_d = '20221031'
-    if_check = False
     ROOT_DIR = abspath(join(dirname(abspath(__file__)), ".."))
     logger.remove()
     logger.add(sys.stderr, level="INFO")
-    logger.add(ROOT_DIR+"/logs/{time:YYYYMMDD-HHmmss}"+f"_{running_which_env}_{typ}_{st_d}_{en_d}_{if_check}.log",
+    logger.add(ROOT_DIR+"/logs/{time:YYYYMMDD-HHmmss}"+f"_{running_which_env}.log",
-               rotation="10 MB", compression="zip", level="DEBUG")
+        rotation="10 MB", compression="zip", level="INFO")
+    
+    for i in range(0,21):
+        
+
+        typ = 'dailydom'
+        # st_d = '20220101'
+        # en_d = '20221031'
+        st_d = str(2000+i)+'0101'
+        en_d = str(2000+i)+'1231'
+        
+        if_check = False
 
         logger.warning(
             f"Going to run *{typ}* from {st_d} to {en_d} with if_check dupliactes={if_check} in *{running_which_env}*, plz check if this info is correct.\n\n\n\n")
 
-    import time
+
         tic = time.perf_counter()
 
         # run_create_zl_table_in_db()
@@ -160,3 +169,5 @@ if __name__ == '__main__':
 
         toc = time.perf_counter()
         logger.info(f"Running used {toc - tic:0.4f} seconds")
+
+        time.sleep(10)

test/test.dos

@@ -23,7 +23,7 @@ select count(*) from loadTable("dfs://hft_futuremarket_ts", "DailyFutureInfoPart
 
 pt=loadTable("dfs://daily_stock_ts","daily_kline")
 
-select top 400 * from pt where code_init=`T
+select top 400 * from pt where code=`IC9999
 schema(pt)
 select count(*) from pt