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p.py
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p.py
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import os
import re
import csv
import sqlparse
import itertools
import sys
def metadata_to_dict():
table_structure={}
files = [f for f in os.listdir('.') if os.path.isfile(f) and f.endswith('.txt') and f.startswith('metadata')]
for i in range(len(files)):
c1=open(files[i])
s=c1.read()
#print(s)
result = re.split("\n<begin_table>\n",s)
cols=result[0].split('\n')
cols.pop()
if(len(result)==1):
cols.pop()
table_name=cols[1]
cols_name=cols[2:]
table_structure[table_name]=cols_name
#print(table_structure)
#print("-----")
length=len(result)
j=1
while j<length-1:
#print("j=",j)
col=result[j].split('\n')
col.pop()
table_name=col[0]
cols_name=col[1:]
table_structure[table_name]=cols_name
j=j+1
if(length>1):
col=result[j].split('\n')
col.pop()
col.pop()
table_name=col[0]
cols_name=col[1:]
table_structure[table_name]=cols_name
return table_structure
def csv_to_dict():
table_data={}
files = [f for f in os.listdir('.') if os.path.isfile(f) and f.endswith('.csv')]
for file in files:
filenam=str(file)
filename=filenam[:-4]
with open(file, newline='') as fo:
reader = csv.reader(fo)
data = list(reader)
for rows in data:
l=[]
for x in rows:
l.append(x.replace('"',""))
rows=l
table_data[filename]=data
#print(table_data['table1'][0])
#print(table_data['table2'])
return table_data
def capital(str_list,i):
length=len(str_list)
for n in range(i+1,length):
if str_list[n].isupper():
return n
else:
continue
return n
def split_list(str_list):
l=[]
for i in str_list:
l+=i.split('=')
return l
def cartesian_product(r,x):
ls=[]
for i in r:
for j in x:
temp=[]
temp.extend(i)
temp.extend(j)
#print(temp)
ls.append(temp)
#print(len(ls))
#print("--------------------")
return ls
table_structure=metadata_to_dict()
#print(table_structure)
table_data = csv_to_dict()
#print(table_data)
query=str(sys.argv[1])
#query="SELECT City FROM citizen, city ON citizencity_id = citycity_id WHERE citcityname != 'San Bruno' GROUP BY citycityname HAVING COUNT(*) >= 2 ORDER BY citycityname"
a=sqlparse.format(query,keyword_case='upper')
#print(a)
#a="SELECT count(*) FROM table1,table2 GROUP BY A;"
if(a.endswith(";")):
pass
else:
print("No semicolon at the end, but still processing the query")
a=a+';'
print()
print("*******OUTPUT************")
print()
parsed=sqlparse.parse(a)
stmt=parsed[0]
list1=[]
for token in stmt.tokens:
if(str(token)!=" "):
list1.append(str(token))
"""
for i in list1:
print(i)
"""
list=a.split(" ")
list[-1]=(list[-1])[:-1]
#print(list1)
index_of_from = list1.index('FROM')
from_data=list1[index_of_from+1].split(",")
"""
i=capital(list1,index_of_from)
#print(i)
if(index_of_from+1<i and i<len(list)-1):
from1_data=list[index_of_from+1:i]
elif(index_of_from+1<i and i==len(list)-1):
from1_data=list[index_of_from+1:]
elif(type(list[i])==str):
from1_data=list[i].split(",")
else:
from1_data=list[i].split(",")
from_data=(' '.join(from1_data)).split(",")
"""
#print(table_structure)
final_col_names=[]
from_final_data=[]
try:
if(len(from_data)>1):
from_final_data = table_data[from_data[0].replace(',',"").replace("'","").lstrip().rstrip()]
for i in range(len(from_data)):
final_col_names.extend(table_structure[from_data[i].replace(',',"").rstrip().lstrip()])
for element in range(1,len(from_data)):
from_final_data=cartesian_product(from_final_data,table_data[from_data[element].rstrip().lstrip().replace("'","")])
else :
from_final_data = table_data[from_data[0].replace(',',"").replace("'","")]
final_col_names.extend(table_structure[from_data[0].replace(',',"").rstrip().lstrip()])
except:
print("Enter correct table/column name")
#print("final col names:")
#print(final_col_names)
#print(from_final_data)
try:
index_of_where = list.index('WHERE')
i=0
for i in range(len(list1)):
if(list1[i].startswith("WHERE")):
break;
condition1=None
condition2=None
where_data=[]
flag1=None
flag2=None
if(i!=len(list1) and list1[i].find("AND")!=-1):
condition1=list1[i][6:list1[i].find("AND")]
condition2=list1[i][list1[i].find("AND")+4:]
if "<=" in condition1:
flag1=1
elif ">=" in condition1:
flag1=2
elif ">" in condition1:
flag1=3
elif "<" in condition1:
flag1=4
elif "=" in condition1:
flag1=5
if "<=" in condition2:
flag2=1
elif ">=" in condition2:
flag2=2
elif ">" in condition2:
flag2=3
elif "<" in condition2:
flag2=4
elif "=" in condition2:
flag2=5
if(flag1==1):
condition1=condition1.split("<=")
elif (flag1==2):
condition1=condition1.split(">=")
elif(flag1==3):
condition1=condition1.split(">")
elif(flag1==4):
condition1=condition1.split("<")
else:
condition1=condition1.split("=")
if(flag2==1):
condition2=condition2.split("<=")
elif (flag2==2):
condition2=condition2.split(">=")
elif(flag2==3):
condition2=condition2.split(">")
elif(flag2==4):
condition2=condition2.split("<")
else:
condition2=condition2.split("=")
#print(condition1)
#print(condition2)
condition1[0]=condition1[0].rstrip(";").rstrip(" ").lstrip(" ")
condition1[1]=condition1[1].rstrip(";").rstrip(" ").lstrip(" ")
condition2[0]=condition2[0].rstrip(";").rstrip(" ").lstrip(" ")
condition2[1]=condition2[1].rstrip(";").rstrip(" ").lstrip(" ")
col1_index=final_col_names.index(condition1[0])
col2_index=final_col_names.index(condition2[0])
col1_value=condition1[1]
col2_value=condition2[1]
j=0
# condition2 : from_final_data[j][col2_index]==col2_value
if(flag1==5):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])==int(col1_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==4):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])<int(col1_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==3):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])>int(col1_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==2):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])>=int(col1_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==1):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])<=int(col1_value)):
j=j+1
else:
from_final_data.pop(j)
j=0
if(flag2==5):
while(j<len(from_final_data)):
if (int(from_final_data[j][col2_index])==int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag2==4):
while(j<len(from_final_data)):
if (int(from_final_data[j][col2_index])<int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag2==3):
while(j<len(from_final_data)):
if (int(from_final_data[j][col2_index])>int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag2==2):
while(j<len(from_final_data)):
if (int(from_final_data[j][col2_index])>=int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag2==1):
while(j<len(from_final_data)):
if (int(from_final_data[j][col2_index])<=int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(i!=len(list1) and list1[i].find("OR")!=-1):
condition1=list1[i][6:list1[i].find("OR")]
condition2=list1[i][list1[i].find("OR")+3:]
if "<=" in condition1:
flag1=1
elif ">=" in condition1:
flag1=2
elif ">" in condition1:
flag1=3
elif "<" in condition1:
flag1=4
elif "=" in condition1:
flag1=5
if "<=" in condition2:
flag2=1
elif ">=" in condition2:
flag2=2
elif ">" in condition2:
flag2=3
elif "<" in condition2:
flag2=4
elif "=" in condition2:
flag2=5
if(flag1==1):
condition1=condition1.split("<=")
elif (flag1==2):
condition1=condition1.split(">=")
elif(flag1==3):
condition1=condition1.split(">")
elif(flag1==4):
condition1=condition1.split("<")
else:
condition1=condition1.split("=")
if(flag2==1):
condition2=condition2.split("<=")
elif (flag2==2):
condition2=condition2.split(">=")
elif(flag2==3):
condition2=condition2.split(">")
elif(flag2==4):
condition2=condition2.split("<")
else:
condition2=condition2.split("=")
#print(condition1)
#print(condition2)
condition1[0]=condition1[0].rstrip(";").rstrip(" ").lstrip(" ")
condition1[1]=condition1[1].rstrip(";").rstrip(" ").lstrip(" ")
condition2[0]=condition2[0].rstrip(";").rstrip(" ").lstrip(" ")
condition2[1]=condition2[1].rstrip(";").rstrip(" ").lstrip(" ")
col1_index=final_col_names.index(condition1[0])
col2_index=final_col_names.index(condition2[0])
col1_value=condition1[1]
col2_value=condition2[1]
j=0
if(flag1==1 and flag2==1):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])<=int(col1_value) or int(from_final_data[j][col2_index])<=int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==1 and flag2==2):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])<=int(col1_value) or int(from_final_data[j][col2_index])>=int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==1 and flag2==3):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])<=int(col1_value) or int(from_final_data[j][col2_index])>int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==1 and flag2==4):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])<=int(col1_value) or int(from_final_data[j][col2_index])<int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==1 and flag2==5):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])<=int(col1_value) or int(from_final_data[j][col2_index])==int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==2 and flag2==1):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])<=int(col1_value) or int(from_final_data[j][col2_index])<=int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==2 and flag2==2):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])>=int(col1_value) or int(from_final_data[j][col2_index])>=int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==2 and flag2==3):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])>=int(col1_value) or int(from_final_data[j][col2_index])>int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==2 and flag2==4):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])>=int(col1_value) or int(from_final_data[j][col2_index])<int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==2 and flag2==5):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])>=int(col1_value) or int(from_final_data[j][col2_index])==int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==3 and flag2==1):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])>int(col1_value) or int(from_final_data[j][col2_index])<=int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==3 and flag2==2):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])>int(col1_value) or int(from_final_data[j][col2_index])>=int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==3 and flag2==3):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])>int(col1_value) or int(from_final_data[j][col2_index])>int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==3 and flag2==4):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])>int(col1_value) or int(from_final_data[j][col2_index])<int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==3 and flag2==5):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])>int(col1_value) or int(from_final_data[j][col2_index])==int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==4 and flag2==1):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])<int(col1_value) or int(from_final_data[j][col2_index])<=int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==4 and flag2==2):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])<int(col1_value) or int(from_final_data[j][col2_index])>=int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==4 and flag2==3):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])<int(col1_value) or int(from_final_data[j][col2_index])>int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==4 and flag2==4):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])<int(col1_value) or int(from_final_data[j][col2_index])<int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==4 and flag2==5):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])<int(col1_value) or int(from_final_data[j][col2_index])==int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==5 and flag2==1):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])==int(col1_value) or int(from_final_data[j][col2_index])<=int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==5 and flag2==2):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])<=int(col1_value) or int(from_final_data[j][col2_index])>=int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==5 and flag2==3):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])==int(col1_value) or int(from_final_data[j][col2_index])>int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==5 and flag2==4):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])==int(col1_value) or int(from_final_data[j][col2_index])<int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==5 and flag2==5):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])==int(col1_value) or int(from_final_data[j][col2_index])==int(col2_value)):
j=j+1
else:
from_final_data.pop(j)
else:
condition1=list1[i][6:]
if "<=" in condition1:
flag1=1
elif ">=" in condition1:
flag1=2
elif ">" in condition1:
flag1=3
elif "<" in condition1:
flag1=4
elif "=" in condition1:
flag1=5
if(flag1==1):
condition1=condition1.split("<=")
elif (flag1==2):
condition1=condition1.split(">=")
elif(flag1==3):
condition1=condition1.split(">")
elif(flag1==4):
condition1=condition1.split("<")
else:
condition1=condition1.split("=")
condition1[0]=condition1[0].rstrip(";").rstrip(" ").lstrip(" ")
condition1[1]=condition1[1].rstrip(";").rstrip(" ").lstrip(" ")
col1_index=final_col_names.index(condition1[0])
col1_value=condition1[1]
j=0
if(flag1==5):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])==int(col1_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==4):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])<int(col1_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==3):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])>int(col1_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==2):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])>=int(col1_value)):
j=j+1
else:
from_final_data.pop(j)
elif(flag1==1):
while(j<len(from_final_data)):
if (int(from_final_data[j][col1_index])<=int(col1_value)):
j=j+1
else:
from_final_data.pop(j)
#print("---------------after where ----------")
#print(from_final_data)
except:
pass
try:
index_of_order = list.index('ORDER')
i=capital(list,index_of_order+1)
if(i>index_of_order+2):
order_data=list[index_of_order+2:i]
else:
order_data=list[i]
try:
index_of_orderby_in_columns=final_col_names.index(order_data)
#print(final_col_names)
if(i+1==len(list) or list[i+1]=='ASC' or (list[i+1]!="ASC" and list[i+1]!="DESC")):
#from_final_data.sort(key = lambda Y: Y[index_of_orderby_in_columns])
#print("ASCCCCC")
l = len(from_final_data)
for q in range(0, l):
for r in range(0, l-q-1):
if (int(from_final_data[r][index_of_orderby_in_columns]) > int(from_final_data[r + 1][index_of_orderby_in_columns])):
tempo = from_final_data[r]
from_final_data[r]= from_final_data[r + 1]
from_final_data[r + 1]= tempo
elif(list[i+1]=='DESC'):
#from_final_data.sort(key = lambda Y: Y[index_of_orderby_in_columns],reverse=True)
#print("DESCCCCCC")
l = len(from_final_data)
for q in range(0, l):
for r in range(0, l-q-1):
if (int(from_final_data[r][index_of_orderby_in_columns]) < int(from_final_data[r + 1][index_of_orderby_in_columns])):
tempo = from_final_data[r]
from_final_data[r]= from_final_data[r + 1]
from_final_data[r + 1]= tempo
except:
print("No such column for order by")
except:
pass
flag_groupby=0
try:
index_of_group = list.index('GROUP')
flag_groupby=1
i=capital(list,index_of_group+1)
if(i>index_of_group+2):
group_data=list[index_of_group+2:i]
else:
group_data=list[i]
try:
index_of_groupby_in_columns=final_col_names.index(group_data)
if(index_of_groupby_in_columns!=-1):
d = {}
for row in from_final_data:
if row[index_of_groupby_in_columns] not in d:
d[str(row[index_of_groupby_in_columns])] = []
d[str(row[index_of_groupby_in_columns])].append(row)
# Add all non-Name attributes as a new list
#print("----AFTER GROUP BY-----")
#print(d)
else:
print("query has some problem - no such group by column name")
except:
print("query doesn't exist - no such group by column name")
##NOW 'd' has final data
except:
pass
# select clause :
select_data=str(list1[1])
if(select_data=="DISTINCT"):
select_data = str(list1[2])
select_data=select_data.split(",")
"""
for i in select_data:
print(i.lower(),end=" ")
"""
length=len(select_data)
i=0
if(flag_groupby!=1 and select_data[0]=="*" and str(list1[1])!="DISTINCT" ):
select_data[i]=select_data[i].rstrip(" ").lstrip(" ")
for qq in final_col_names:
print(qq.lower(),end=" ")
print()
for x in from_final_data:
for y in x:
print(y.lower(),end=" ")
print()
if(flag_groupby!=1 and select_data[0]=="*" and str(list1[1])=="DISTINCT" ):
select_data[i]=select_data[i].rstrip(" ").lstrip(" ")
for qq in final_col_names:
print(qq.lower(),end=" ")
print()
L=[]
for x in from_final_data:
if x not in L:
L.append(x)
for y in x:
print(y.lower(),end=" ")
print()
try:
if(flag_groupby!=1 and str(list1[1])!="DISTINCT" and (select_data[0].startswith("count") or select_data[0].startswith("max") or select_data[0].startswith("min") or select_data[0].startswith("sum") or select_data[0].startswith("avg"))):
try:
for i in range(length):
select_data[i]=select_data[i].rstrip(" ").lstrip(" ")
if(select_data[i].startswith("max") and flag_groupby!=1):
i1=str(select_data[i]).index("(")
i2=str(select_data[i]).index(")")
column_name=str(select_data[i])[i1+1:i2]
column_index=final_col_names.index(column_name)
max=0
for row in from_final_data:
if(int(row[column_index])>max):
max=int(row[column_index])
print(select_data[i].lower())
print(max)
elif(select_data[i].startswith("min") and flag_groupby!=1):
i1=str(select_data[i]).index("(")
i2=str(select_data[i]).index(")")
column_name=str(select_data[i])[i1+1:i2]
column_index=final_col_names.index(column_name)
min=0
for row in from_final_data:
if(int(row[column_index])<min):
min=int(row[column_index])
print(select_data[i].lower())
print(min)
elif(select_data[i].startswith("count") and flag_groupby!=1):
i1=str(select_data[i]).index("(")
i2=str(select_data[i]).index(")")
column_name=str(select_data[i])[i1+1:i2]
if(column_name!="*"):
count = 0
for row in from_final_data:
count+=1
print(select_data[i].lower())
print(count)
else:
count=0
for row in from_final_data:
count+=1
print(select_data[i].lower())
print(count.lower())
elif(select_data[i].startswith("avg") and flag_groupby!=1):
i1=str(select_data[i]).index("(")
i2=str(select_data[i]).index(")")
column_name=str(select_data[i])[i1+1:i2]
column_index=final_col_names.index(column_name)
sum=0
count=0
for row in from_final_data:
sum+=int(row[column_index])
count+=1
print(select_data[i].lower())
if(count==0):
print("Count=0, so no avg")
else:
print(float(sum)/float(count))
elif(select_data[i].startswith("sum") and flag_groupby!=1):
i1=str(select_data[i]).index("(")
i2=str(select_data[i]).index(")")
column_name=str(select_data[i])[i1+1:i2]
column_index=final_col_names.index(column_name)
sum=0
for row in from_final_data:
sum+=int(row[column_index])
print(select_data[i].lower())
print(sum)
else :
print("Invalid Query with aggregate functions")
except:
print("Invalid Query with aggregate functions")
elif(flag_groupby!=1 and str(list1[1])=="DISTINCT" and (select_data[0].startswith("count") or select_data[0].startswith("max") or select_data[0].startswith("min") or select_data[0].startswith("sum") or select_data[0].startswith("avg"))):
try:
for xx in select_data:
print(xx.lower(),end=" ")
xx=[]
for i in range(length):
select_data[i]=select_data[i].rstrip(" ").lstrip(" ")
if(select_data[i].startswith("max") and flag_groupby!=1):
i1=str(select_data[i]).index("(")
i2=str(select_data[i]).index(")")
column_name=str(select_data[i])[i1+1:i2]
column_index=final_col_names.index(column_name)
max=0
for row in from_final_data:
if(int(row[column_index])>max):
max=int(row[column_index])
xx.append(max)
elif(select_data[i].startswith("min") and flag_groupby!=1):
i1=str(select_data[i]).index("(")
i2=str(select_data[i]).index(")")
column_name=str(select_data[i])[i1+1:i2]
column_index=final_col_names.index(column_name)
min=0
for row in from_final_data:
if(int(row[column_index])<min):
min=int(row[column_index])
xx.append(min)
elif(select_data[i].startswith("count") and flag_groupby!=1):
i1=str(select_data[i]).index("(")
i2=str(select_data[i]).index(")")
column_name=str(select_data[i])[i1+1:i2]
if(column_name!="*"):
count = 0
for row in from_final_data:
count+=1
xx.append(count)
else:
count=0
for row in from_final_data:
count+=1
xx.append(count)
elif(select_data[i].startswith("avg") and flag_groupby!=1):
i1=str(select_data[i]).index("(")
i2=str(select_data[i]).index(")")
column_name=str(select_data[i])[i1+1:i2]
column_index=final_col_names.index(column_name)
sum=0
count=0
for row in from_final_data:
sum+=int(row[column_index])
count+=1
if(count==0):
xx.append("undefined")
else:
xx.append(float(sum)/float(count))
elif(select_data[i].startswith("sum") and flag_groupby!=1):
i1=str(select_data[i]).index("(")
i2=str(select_data[i]).index(")")
column_name=str(select_data[i])[i1+1:i2]
column_index=final_col_names.index(column_name)
sum=0
for row in from_final_data:
sum+=int(row[column_index])
xx.append(sum)
else :
print("Invalid Query with aggregate functions")
print()
for x in xx:
print(str(x).lower(),end=" ")
print()
except:
print("Invalid Query with aggregate functions")
elif(flag_groupby!=1 and str(list1[1])!="DISTINCT" and not(select_data[0]=="*" or select_data[0].startswith("count") or select_data[0].startswith("max") or select_data[0].startswith("min") or select_data[0].startswith("sum") or select_data[0].startswith("avg"))):
try:
col_index=[]
for i in range(length):
select_data[i]=select_data[i].rstrip(" ").lstrip(" ")
col_index.append(final_col_names.index(select_data[i]))
for row in from_final_data:
for i in col_index:
print(str(row[i]).lower(),end=" ")
print()
except:
print("invalid query")
elif(flag_groupby!=1 and str(list1[1])=="DISTINCT" and not(select_data[0]=="*" or select_data[0].startswith("count") or select_data[0].startswith("max") or select_data[0].startswith("min") or select_data[0].startswith("sum") or select_data[0].startswith("avg"))):
try:
col_index=[]
for i in range(length):
select_data[i]=select_data[i].rstrip(" ").lstrip(" ")
col_index.append(final_col_names.index(select_data[i]))
newList = [[each_list[i] for i in col_index] for each_list in from_final_data]
#print(newList)
from_final_data=[]
for i in newList:
if(i not in from_final_data):
from_final_data.append(i)
for qq in select_data:
print(qq.lower(),end=" ")
print()
for x in from_final_data:
for y in x:
print(str(y).lower(),end=" ")
print()
except:
print("Invalid Query")
elif(flag_groupby==1 and str(list1[1])!="DISTINCT"):
for i in range(length):
select_data[i]=select_data[i].rstrip(" ").lstrip(" ")
for i in select_data:
print(i.lower(),end=" ")
print()
if group_data in select_data:
if(len(select_data)==1):
print(str(select_data[0]).lower())
for i in d.keys():
print(str(i).lower())
else:
for row in d.keys():
for i in select_data:
if(i==group_data):
print(str(row).lower(),end=" ")
elif(i.startswith("sum")):
i1=str(i).index("(")
i2=str(i).index(")")
column_name=str(i)[i1+1:i2]
column_index=final_col_names.index(column_name)
sum=0
for l in d[row]:
sum+=int(l[column_index])
print(sum,end=" ")
elif(i.startswith("avg")):
i1=str(i).index("(")
i2=str(i).index(")")
column_name=str(i)[i1+1:i2]
column_index=final_col_names.index(column_name)
sum=0
count=0
for l in d[row]:
sum+=int(l[column_index])
count+=1
if(count!=0):
print(float(sum)/float(count),end=" ")
elif(i.startswith("min")):
i1=str(i).index("(")
i2=str(i).index(")")
column_name=str(i)[i1+1:i2]
column_index=final_col_names.index(column_name)
min=0
for l in d[row]:
if(min>int(l[column_index])):
min=int(l[column_index])
print(min,end=" ")
elif(i.startswith("max")):
i1=str(i).index("(")
i2=str(i).index(")")
column_name=str(i)[i1+1:i2]
column_index=final_col_names.index(column_name)
max=0
for l in d[row]:
if(max<int(l[column_index])):
max=int(l[column_index])
print(max,end=" ")
elif(i.startswith("count")):
i1=str(i).index("(")
i2=str(i).index(")")
column_name=str(i)[i1+1:i2]
count=0
if(column_name=="*"):
for l in d[row]:
count+=1
else:
column_index=final_col_names.index(column_name)
for l in d[row]:
count+=1
print(count,end=" ")
else:
print("invalid query")
print()
else:
for row in d.keys():
for i in select_data:
if(i.startswith("sum")):
i1=str(i).index("(")
i2=str(i).index(")")
column_name=str(i)[i1+1:i2]
column_index=final_col_names.index(column_name)
sum=0
for l in d[row]:
sum+=int(l[column_index])
print()
print(sum,end=" ")