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@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 214,
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"execution_count": 3,
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"id": "139fd1cb-aedf-4186-8408-4d630ba69599",
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"metadata": {},
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"outputs": [],
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@ -13,323 +13,6 @@
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"sess.login('admin', '123456')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 216,
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"id": "98ef95cf-0a7f-4e9d-8c7c-bc1d2a6268bd",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>tableName</th>\n",
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" <th>physicalIndex</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>divident</td>\n",
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" <td>Gws</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>preliminary_earnings_estimate</td>\n",
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" <td>FyP</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>is_common_ori</td>\n",
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" <td>DvA</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>cfs_common_ori</td>\n",
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" <td>AUH</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>bs_common_adj</td>\n",
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" <td>x2R</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td>earnings_preannouncement</td>\n",
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" <td>EOu</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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" <td>cfs_common_adj</td>\n",
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" <td>zCC</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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" <td>is_common_adj</td>\n",
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" <td>Cdl</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>8</th>\n",
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" <td>bs_common_ori</td>\n",
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" <td>ykc</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" tableName physicalIndex\n",
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"0 divident Gws\n",
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"1 preliminary_earnings_estimate FyP\n",
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"2 is_common_ori DvA\n",
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"3 cfs_common_ori AUH\n",
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"4 bs_common_adj x2R\n",
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"5 earnings_preannouncement EOu\n",
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"6 cfs_common_adj zCC\n",
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"7 is_common_adj Cdl\n",
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"8 bs_common_ori ykc"
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]
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},
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"execution_count": 216,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"sess.run(\"listTables('dfs://pit_stock_ts')\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 217,
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"id": "12d5328e-ee57-4cf6-adeb-863649cbb19d",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'partitionType': 5,\n",
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" 'partitionColumnType': 17,\n",
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" 'partitionColumnIndex': 0,\n",
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" 'chunkPath': None,\n",
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" 'colDefs': name typeString typeInt comment\n",
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" 0 code SYMBOL 17 \n",
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" 1 report_period DATE 6 \n",
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" 2 appear_at_date DATE 6 \n",
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" 3 S_PROFITNOTICE_STYLE STRING 18 \n",
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" 4 S_PROFITNOTICE_CHANGEMIN DOUBLE 16 \n",
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" 5 S_PROFITNOTICE_CHANGEMAX DOUBLE 16 \n",
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" 6 S_PROFITNOTICE_NETPROFITMIN DOUBLE 16 \n",
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" 7 S_PROFITNOTICE_NETPROFITMAX DOUBLE 16 \n",
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" 8 S_PROFITNOTICE_REASON STRING 18 ,\n",
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" 'chunkGranularity': 'TABLE',\n",
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" 'partitionTypeName': 'HASH',\n",
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" 'keepDuplicates': 'ALL',\n",
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" 'engineType': 'TSDB',\n",
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" 'partitionColumnName': 'code',\n",
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" 'partitionSchema': 50,\n",
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" 'sortColumns': array(['code', 'report_period', 'appear_at_date'], dtype=object),\n",
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" 'partitionSites': None}"
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]
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},
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"execution_count": 217,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"sess.run(\"\"\"\n",
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" schema(loadTable(\"dfs://pit_stock_ts\", \"earnings_preannouncement\"))\n",
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"\"\"\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 218,
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"id": "46547093-9ee6-46ed-a821-73f3237b3c5e",
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"metadata": {},
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"outputs": [],
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"source": [
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"import sqlalchemy as sa\n",
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"engine = sa.create_engine(\n",
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" 'mssql+pyodbc://sa:xn.123@192.168.1.91/tr_statement?driver=ODBC+Driver+18+for+SQL+Server',\n",
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" connect_args = {\n",
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" \"TrustServerCertificate\": \"yes\"\n",
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" }, echo=False)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 224,
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"id": "26b5701e-17e5-439e-8921-e7523384eee7",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[('tr_statement', 'dbo', 'SRC_TS_DIVIDEND_ANNOUNCEMENT', 'BASE TABLE'),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_EARNINGS_PREANNOUNCEMENT', 'BASE TABLE'),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_PRELIMINARY_EARNING_EST', 'BASE TABLE'),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_FINCOMP_CASHFLOWSTATEMENT', 'BASE TABLE'),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_FINCOMP_INCOMESTATEMENT', 'BASE TABLE'),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_FINCOMP_BALANCESHEET', 'BASE TABLE'),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_CONSOLIDATED_CASHFLOWSTATEMENT', 'BASE TABLE'),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_CONSOLIDATED_INCOMESTATEMENT', 'BASE TABLE'),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_CONSOLIDATED_BALANCESHEET', 'BASE TABLE'),\n",
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" ('tr_statement', 'dbo', 'CBS_META', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'CBS_BEFORE_ADJ', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'CBS_AFTER_ADJ', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'CIS_META', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'CIS_BEFORE_ADJ', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'CIS_AFTER_ADJ', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'CCFS_META', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'CCFS_BEFORE_ADJ', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'CCFS_AFTER_ADJ', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'FBS_META', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'FBS_BEFORE_ADJ', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'FBS_AFTER_ADJ', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'FIS_META', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'FIS_BEFORE_ADJ', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'FIS_AFTER_ADJ', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'FCFS_META', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'FCFS_BEFORE_ADJ', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'FCFS_AFTER_ADJ', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'PEE_META', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'PEE_WIND', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'EP_META', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'EP_WIND', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'DIV_META', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'DIV_WIND', 'VIEW'),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_NON_RECURRING_PNL', 'BASE TABLE')]\n"
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]
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}
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],
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"source": [
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"from pprint import pprint \n",
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"\n",
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"with engine.connect() as conn:\n",
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" rs = conn.execute(\"\"\"\n",
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"SELECT\n",
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" *\n",
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"FROM\n",
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" tr_statement.INFORMATION_SCHEMA.TABLES;\n",
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"\"\"\").fetchall()\n",
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"\n",
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"pprint(rs)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 231,
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"id": "2dcd793a-2442-4b4e-b261-b2cead090efc",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[('tr_statement', 'dbo', 'SRC_TS_EARNINGS_PREANNOUNCEMENT', 'StockID', 1, 'char', 8, 8, None, None, 0, None, None, 1, None, 8, 1, 'NO', 47),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_EARNINGS_PREANNOUNCEMENT', 'StockName', 12, 'varchar', 20, 20, None, None, 1, None, None, 12, None, 20, 2, 'YES', 39),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_EARNINGS_PREANNOUNCEMENT', 'ReportPeriod', 4, 'int', 10, 4, 0, 10, 0, None, None, 4, None, None, 3, 'NO', 56),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_EARNINGS_PREANNOUNCEMENT', 'AppearAtDate', 4, 'int', 10, 4, 0, 10, 0, None, None, 4, None, None, 4, 'NO', 56),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_EARNINGS_PREANNOUNCEMENT', 'S_PROFITNOTICE_CONTENT', -1, 'text', 2147483647, 2147483647, None, None, 1, None, None, -1, None, 2147483647, 5, 'YES', 35),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_EARNINGS_PREANNOUNCEMENT', 'S_PROFITNOTICE_STYLE', 12, 'varchar', 20, 20, None, None, 1, None, None, 12, None, 20, 6, 'YES', 39),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_EARNINGS_PREANNOUNCEMENT', 'S_PROFITNOTICE_CHANG_SOURCE', 12, 'varchar', 20, 20, None, None, 1, None, None, 12, None, 20, 7, 'YES', 39),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_EARNINGS_PREANNOUNCEMENT', 'S_PROFITNOTICE_REASON', -1, 'text', 2147483647, 2147483647, None, None, 1, None, None, -1, None, 2147483647, 8, 'YES', 35),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_EARNINGS_PREANNOUNCEMENT', 'REMARK', -1, 'text', 2147483647, 2147483647, None, None, 1, None, None, -1, None, 2147483647, 9, 'YES', 35),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_EARNINGS_PREANNOUNCEMENT', 'S_PROFITNOTICE_NETPROFITMAX', 6, 'float', 15, 8, None, 10, 1, None, None, 6, None, None, 10, 'YES', 109),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_EARNINGS_PREANNOUNCEMENT', 'S_PROFITNOTICE_NETPROFITUNIT', 12, 'varchar', 20, 20, None, None, 1, None, None, 12, None, 20, 11, 'YES', 39),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_EARNINGS_PREANNOUNCEMENT', 'S_PROFITNOTICE_NETPROFITMIN', 6, 'float', 15, 8, None, 10, 1, None, None, 6, None, None, 12, 'YES', 109),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_EARNINGS_PREANNOUNCEMENT', 'S_PROFITNOTICE_CHANGEMIN', 6, 'float', 15, 8, None, 10, 1, None, None, 6, None, None, 13, 'YES', 109),\n",
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" ('tr_statement', 'dbo', 'SRC_TS_EARNINGS_PREANNOUNCEMENT', 'S_PROFITNOTICE_CHANGEMAX', 6, 'float', 15, 8, None, 10, 1, None, None, 6, None, None, 14, 'YES', 109)]\n"
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]
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}
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],
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"source": [
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"with engine.connect() as conn:\n",
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" rs = conn.execute(\"EXEC sp_columns SRC_TS_EARNINGS_PREANNOUNCEMENT\").fetchall()\n",
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"\n",
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"pprint(rs)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 230,
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"id": "e5904cbf-4405-4d2e-bc5b-88706273f5d0",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[('NE430047', '诺思兰德', 20211231, 20220225, '净利润亏损5174.6万元', '增亏', '天软计算', '本报告期内，公司经营业绩较去年亏损增加。主要原因为:1、报告期内公司研发费用、管理费用较上年度有所增加；2、报告期内毛利率较高的技术转让收入减少，导致本报告期亏损增加。', 'nan', -5174.6, '万元', -5174.6, -104.1182, -104.1182),\n",
|
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|
" ('NE430489', '佳先股份', 20211231, 20220228, '净利润盈利6193.94万元，比上年同期增长125.26%', '预增', '公告中公布', '本报告期归属于上市公司股东的净利润预计增长125.26%的主要原因如下:\\r\\n1、报告期内，公司新厂区生产经营稳定，产能逐步放大，为公司满足旺盛\\r\\n的市场需求提供了重要保障；公司通过不断地拓展销售渠道，销售业务实现较好\\r\\n增长；同时，因疫情、海运费上涨以及原料价格上涨、供求关系紧张等影响 ... (254 characters truncated) ... 和盈利水平得到进一步提升。\\r\\n3、报告期内，公司将控股子公司安徽沙丰新材料有限公司全年数据纳入合\\r\\n并报表；而上年同期，由于收购日为2020年12月8日，合并报表中仅合并了安\\r\\n徽沙丰新材料有限公司12月份数据。上述合并范围的差异也导致了公司报告期\\r\\n营业收入、利润较去年同期增长。', 'nan', 6193.94, '万元', 6193.94, 125.26, 125.26),\n",
|
|
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" ('NE430510', '丰光精密', 20211231, 20220121, '净利润盈利4800万元-5100万元，比上年同期增长43.62%-52.6%', '预增', '公告中公布', '(1)报告期内公司下游行业需求旺盛，同时公司市场拓展取得较好效果，公司半导体装备制造类产品和工业自动化类产品营业收入较上年同期增加；(2)公司汽车类产品营业收入较上年同期增加；(3)公司前期开发的新客户、新项目逐步实现量产，相关产品营业收入相应增加。\\r\\n', 'nan', 5100.0, '万元', 4800.0, 43.62, 52.6),\n",
|
|
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|
" ('NE430564', '天润科技', 20220331, 20220525, '净利润盈利250万元-320万元，比上年同期增长74.14%-122.9%', '预增', '公告中公布', '2022年1月份受西安疫情的影响，公司在陕西省内的部分项目完工及验收时间有所推迟，公司2022年第一季度收入较上年同期有所下降；但由于2021年第一季度确认收入占比84.87%的汕头市中心城区(金平、龙湖区)农村地籍调查服务采购项目毛利率较低，导致2022年第一季度公司预计收入规模虽较去年同期有所下降，但净利润却较同期有所增长。', 'nan', 320.0, '万元', 250.0, 74.14, 122.9),\n",
|
|
|
|
|
" ('NE831370', '新安洁 ', 20211231, 20220225, '净利润盈利4159万元，比上年同期下降55.38%', '预减', '公告中公布', '1、公司本报告期增值税及社保支出较上年同期有增长；\\r\\n2、公司因应收账款账龄和金额发生变化，本报告期的信用减值损失增加；\\r\\n3、本报告期，公司因部分项目撤场等原因导致资产处置损失增加。\\r\\n', 'nan', 4159.0, '万元', 4159.0, -55.38, -55.38),\n",
|
|
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|
" ('NE831689', '克莱特 ', 20211231, 20220321, '净利润盈利4577.19万元，比上年同期增长80.24%', '预增', '公告中公布', '公司归属于母公司所有者净利润上升，主要系受行业政策等因素影响，风电\\r\\n新能源装备等下游行业景气度不断提升，对公司产品需求增长较快，使得公司订\\r\\n单不断增长，公司盈利能力进一步提升。\\r\\n受益于国家产业政策的支持，国内海上风力发电行业进入快速发展阶段。公\\r\\n司顺势而为，积极拓展海上风力 ... (34 characters truncated) ... 合作关系，如空空冷却器、水冷系统等海上风力发电产品。\\r\\n受到上述因素的影响，公司新能源装备领域的收入出现了大幅的增长，带动公司\\r\\n收入从2020年的28,491.97万元上升至2021年的39,156.58万元，同时带动公司\\r\\n的净利润从2,539.48万元上升至4,577.19万元。', 'nan', 4577.19, '万元', 4577.19, 80.24, 80.24),\n",
|
|
|
|
|
" ('NE831689', '克莱特 ', 20220331, 20220302, '净利润盈利900万元-950万元，比上年同期增长6.57%-12.49%', '预增', '公告中公布', 'nan', 'nan', 950.0, '万元', 900.0, 6.57, 12.49),\n",
|
|
|
|
|
" ('NE831832', '科达自控', 20211231, 20220124, '净利润盈利3600万元-4000万元，比上年同期增长23.88%-37.64%', '预增', '公告中公布', '报告期内公司省内外市场拓展取得较好效果,营业收入与上年同期相比有所提升净利润相应增加。', 'nan', 4000.0, '万元', 3600.0, 23.88, 37.64),\n",
|
|
|
|
|
" ('NE832145', '恒合股份', 20211231, 20220228, '净利润盈利1670.1万元，比上年同期下降45.6%', '预减', '公告中公布', '1、公司油气回收在线监测收入的下降是导致营业收入和净利润降低的主要因素。该业务受疫情等因素的影响，下游客户暂停或延缓招标，加之疫情的反复\\r\\n使得已经开始的项目有所放缓，致使公司油气回收在线监测系统总体收入有所降\\r\\n低，进而影响了公司的营收和净利润。\\r\\n2、同时，液位量测系统已过政策大力推动期，公司液位量测业务量有所下\\r\\n降，导致2021年营业收入也随之降低。\\r\\n3、公司预计归属于上市公司股东的扣除非经常性损益后的净利润变动幅度\\r\\n较大，主要系公司在2021年度收到计入非经常性损益的上市补助及重大贡献奖\\r\\n励所致。', 'nan', 1670.1, '万元', 1670.1, -45.6, -45.6),\n",
|
|
|
|
|
" ('NE832419', '路斯股份', 20211231, 20220223, '净利润盈利2900万元-3500万元，比上年同期下降9.72%-25.19%', '预减', '公告中公布', 'nan', 'nan', 3500.0, '万元', 2900.0, -25.19, -9.72)]\n"
|
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"with engine.connect() as conn:\n",
|
|
|
|
|
" rs = conn.execute(\"select top 10 * from SRC_TS_EARNINGS_PREANNOUNCEMENT\").fetchall()\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"pprint(rs)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 229,
|
|
|
|
|
"id": "f6e2ef1d-2e68-49c1-8c57-a0b937037831",
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"name": "stdout",
|
|
|
|
|
"output_type": "stream",
|
|
|
|
|
"text": [
|
|
|
|
|
"[('tr_statement', 'dbo', 'EP_WIND', 'WIND_CODE', 12, 'varchar', 13, 13, None, None, 1, None, None, 12, None, 13, 1, 'YES', 39),\n",
|
|
|
|
|
" ('tr_statement', 'dbo', 'EP_WIND', 'IntCode', 4, 'int', 10, 4, 0, 10, 1, None, None, 4, None, None, 2, 'YES', 38),\n",
|
|
|
|
|
" ('tr_statement', 'dbo', 'EP_WIND', 'ReportPeriod', 4, 'int', 10, 4, 0, 10, 0, None, None, 4, None, None, 3, 'NO', 56),\n",
|
|
|
|
|
" ('tr_statement', 'dbo', 'EP_WIND', 'AppearAtDate', 4, 'int', 10, 4, 0, 10, 0, None, None, 4, None, None, 4, 'NO', 56),\n",
|
|
|
|
|
" ('tr_statement', 'dbo', 'EP_WIND', 'S_PROFITNOTICE_STYLE', 12, 'varchar', 20, 20, None, None, 1, None, None, 12, None, 20, 5, 'YES', 39),\n",
|
|
|
|
|
" ('tr_statement', 'dbo', 'EP_WIND', 'S_PROFITNOTICE_CHANGEMIN', 6, 'float', 15, 8, None, 10, 1, None, None, 6, None, None, 6, 'YES', 109),\n",
|
|
|
|
|
" ('tr_statement', 'dbo', 'EP_WIND', 'S_PROFITNOTICE_CHANGEMAX', 6, 'float', 15, 8, None, 10, 1, None, None, 6, None, None, 7, 'YES', 109),\n",
|
|
|
|
|
" ('tr_statement', 'dbo', 'EP_WIND', 'S_PROFITNOTICE_NETPROFITMIN', 6, 'float', 15, 8, None, 10, 1, None, None, 6, None, None, 8, 'YES', 109),\n",
|
|
|
|
|
" ('tr_statement', 'dbo', 'EP_WIND', 'S_PROFITNOTICE_NETPROFITMAX', 6, 'float', 15, 8, None, 10, 1, None, None, 6, None, None, 9, 'YES', 109),\n",
|
|
|
|
|
" ('tr_statement', 'dbo', 'EP_WIND', 'S_PROFITNOTICE_REASON', -1, 'text', 2147483647, 2147483647, None, None, 1, None, None, -1, None, 2147483647, 10, 'YES', 35)]\n"
|
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"with engine.connect() as conn:\n",
|
|
|
|
|
" rs = conn.execute(\"EXEC sp_columns EP_WIND\").fetchall()\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"pprint(rs)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 42,
|
|
|
|
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|
Guofu Li