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merge_stocks_data.py
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merge_stocks_data.py
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import mysql.connector as db
from mysql.connector.errors import IntegrityError
con=db.connect(host="localhost",user="<your user>",password="<your pwd>",auth_plugin='mysql_native_password',database="<your DB>")
main_id=0
current_nse_id=""
def fetch_all_stocks():
try:
results=[]
nse_results=[]
cursor = con.cursor()
cursor.callproc('fetch_mege_stocks',())
for i,r in enumerate(cursor.stored_results()):
if i==0:
for row in r:
results.append(dict(zip(r.column_names,row)))
else:
for row in r:
nse_results.append(dict(zip(r.column_names,row)))
finally:
cursor.close()
return results,nse_results
def filterNSE(nse):
global current_nse_id
return nse["nse_id"]==current_nse_id
def notMainID(row):
global main_id
return row["stock_id"]!=main_id
def MainID(row):
global main_id
return row["stock_id"]==main_id
def getMax(rows):
global main_id
count=0
for r in rows:
if r["dup_count"]>count:
count=r["dup_count"]
main_id=r["stock_id"]
def merge_stocks(m,s):
try:
cursor = con.cursor()
cursor.callproc('merge_duplicate_stocks',(m,s))
finally:
cursor.close()
res,nse=fetch_all_stocks()
for i,u in enumerate(nse):
for i in[1,2]:
current_nse_id=u["nse_id"]
print("processing...."+current_nse_id)
chunk=filter(filterNSE,res)
chunk=list(chunk)
getMax(chunk)
main=list(filter(MainID,chunk))
notMain=list(filter(notMainID,chunk))
for al in notMain:
merge_stocks(main[0]["stock_id"],al["stock_id"])
con.close()