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System save at 04/11/2024 17:10 by user_client2024

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user_client2024 2024-11-04 11:40:34 +00:00
parent ef4cb038a9
commit b3f701dd9b
3 changed files with 6 additions and 6 deletions
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4
.ipynb_checkpoints/main-checkpoint.ipynb
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@ -83,13 +83,13 @@
"from tms_data_interface import SQLQueryInterface\n",
"\n",
"class Scenario:\n",
" seq = SQLQueryInterface(schema=\"trade_schema\")\n",
" seq = SQLQueryInterface(schema=\"internal\")\n",
" def logic(self, **kwargs):\n",
" validation_window = kwargs.get('validation_window', 300000)\n",
" time_window_s = int(validation_window/1000)\n",
" query_start_time = datetime.now()\n",
" print(\"Query start time :\",query_start_time)\n",
" row_list = self.seq.execute_raw(query.format(trade_data_1b=\"trade_10m_v3\",\n",
" row_list = self.seq.execute_raw(query.format(trade_data_1b=\"trade_data_1b\",\n",
" time_window_s = time_window_s)\n",
" )\n",
" cols = [\n",

4
main.ipynb
View File

@ -83,13 +83,13 @@
"from tms_data_interface import SQLQueryInterface\n",
"\n",
"class Scenario:\n",
" seq = SQLQueryInterface(schema=\"trade_schema\")\n",
" seq = SQLQueryInterface(schema=\"internal\")\n",
" def logic(self, **kwargs):\n",
" validation_window = kwargs.get('validation_window', 300000)\n",
" time_window_s = int(validation_window/1000)\n",
" query_start_time = datetime.now()\n",
" print(\"Query start time :\",query_start_time)\n",
" row_list = self.seq.execute_raw(query.format(trade_data_1b=\"trade_10m_v3\",\n",
" row_list = self.seq.execute_raw(query.format(trade_data_1b=\"trade_data_1b\",\n",
" time_window_s = time_window_s)\n",
" )\n",
" cols = [\n",

4
main.py
View File

@ -80,13 +80,13 @@ FROM
from tms_data_interface import SQLQueryInterface
class Scenario:
seq = SQLQueryInterface(schema="trade_schema")
seq = SQLQueryInterface(schema="internal")
def logic(self, **kwargs):
validation_window = kwargs.get('validation_window', 300000)
time_window_s = int(validation_window/1000)
query_start_time = datetime.now()
print("Query start time :",query_start_time)
row_list = self.seq.execute_raw(query.format(trade_data_1b="trade_10m_v3",
row_list = self.seq.execute_raw(query.format(trade_data_1b="trade_data_1b",
time_window_s = time_window_s)
)
cols = [