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Update final_schedule.py
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@ashunaveed
ashunaveed authored Nov 6, 2024
1 parent cb7f6ca commit e3b492c
Showing 1 changed file with 73 additions and 36 deletions.
109 changes: 73 additions & 36 deletions final_schedule.py
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Original file line number Diff line number Diff line change
Expand Up @@ -250,7 +250,7 @@ def get_index(x,sttring,index, comparer,use_AI):
dataframe to the given string1 and returns the indes of the string that gets the highest
match with the string1 and the value of match %.
'''
limit = 0.7
limit = 0.6
matcho=[]
required_list = []
main_item=''
Expand Down Expand Up @@ -367,24 +367,19 @@ def get_index2(x,sttring, comparer, use_AI, type_of_bid):
ii = matcho.index(max(matcho))
return [ii,max(matcho)]


def rate_comp1(x,index,rate):
'''
This fn aim is to return the quoted bid rate from the dataframe given. It
takes a dataframe and an index of it as input, sees whether the quotation is as a value, a
percentage, on the whole schedule etc and returns the rate. This fn gets called for a
subwork/two table schedule etc.
'''
zz = re.compile('\d+.\d+')
zz = re.compile(r'\d+.\d+')
pattern = r"\b[A-Za-z]+"
try:
ss = ' '.join(re.findall(pattern, x.iloc[index,9])).lower()
except:
ss = None
# if(ss == None or ss==''):
# ss = ' '.join(re.findall(pattern, x.iloc[index+1,9])).lower()
# ###print('Ss = ',ss)
# index+=1
if('above'== ss):
per = 1+float(zz.search(x.iloc[index,8]).group())/100
elif('below'== ss):
Expand All @@ -396,7 +391,7 @@ def rate_comp1(x,index,rate):
rate = round(float(per*float(rate)),2)
return str(rate)
def rebate(x,rate):
zz = re.compile('\d+.\d+')
zz = re.compile(r'\d+.\d+')
for k in range(len(x)-1,0,-1):
if(any('rebate' in str(item).lower() for item in x.iloc[k])):
rate1 = float(rate)*(1-float(zz.search(x.iloc[k,-1]).group())/100)
Expand All @@ -407,30 +402,56 @@ def rebate(x,rate):
def Schedules_at1(items):
l = []
for i in range(len(items)):
if('schedule ' in items.iloc[i,0].lower() and 'schedule total' not in items.iloc[i,0].lower()):
l.append([items.iloc[i,0],i])
if(type(items.iloc[i,0]) != float):
if('schedule ' in items.iloc[i,0].lower() and 'schedule total' not in items.iloc[i,0].lower()):
l.append([items.iloc[i,0],i])
return l
def items_at1(items):
l = []
for i in range(len(items)):
if('item' in items.iloc[i,0].lower()):
l.append([items.iloc[i,1],i])
return l
def same_strings(string1, string2):
zz= re.compile('\w+')
zz= re.compile(r'\w+')
string1 = zz.search(string1).group()
string2 = zz.search(string2).group()
if(string1==string2):
return True
return False
def rate_comp(x,index):
'''
This fn aim is to return the quoted bid rate from the dataframe given. It
takes a dataframe and an index of it as input, sees whether the quotation is as a value, a
percentage, on the whole schedule etc and returns the rate.
'''
zz = re.compile(r'\d+.\d+')
pattern = r"\b[A-Za-z]+"

# Find all matches
ss = ' '.join(re.findall(pattern, x.iloc[index,9])).lower()
if('above' in ss):
per = 1+float(zz.search(x.iloc[index,8]).group())/100
elif('below' in ss):
per = 1-float(zz.search(x.iloc[index,8]).group())/100
elif(x.iloc[index,8]==x.iloc[index,9]):
rate = zz.search(x.iloc[index,8]).group()
return rate
else:
per =1
rate = round(float(per*float(zz.search(x.iloc[index,5]).group())),2)
return str(rate)

def items_at1(items):
l = []
for i in range(len(items)):
if('item' in items.iloc[i,0].lower()):
l.append([items.iloc[i,1],i])
return l

def main_df_writing(L1tab, ww, Schedule_name, rate, matchoa,k,item_s_no, name1):
L1tab.loc[k,ww]= str(Schedule_name +' S.no. '+item_s_no+'.'+' $#$ '+matchoa+' $#$ '+rate)
L1tab.loc[k+1,ww]= str(name1+' $#$ '+str(matchoa.split(' $#$ ')[0]))
print('Written one item to excel sheet')
return L1tab
def single_schedule(x,zz, index, schedules_single_at, rate1):
def single_schedule(x, zz, index, schedules_single_at, rate1 =0):
try:
Schedule_name = schedules_single_at[-1][0]
cell = x.iloc[index,8]
pattern = r"\b[A-Za-z]+"
try:
try:
Expand All @@ -444,17 +465,31 @@ def single_schedule(x,zz, index, schedules_single_at, rate1):
Schedule_name = schedules_single_at[d][0]
indexax = schedules_single_at[d][-1]
break
if('view details' in x.iloc[index,5].lower()):
index -=1
if(rate1!=0):
rate2 = rate1
if(Essca =='' or Essca == 'at par' or Essca==None):
rate = rate1
rate = rate2
elif('-' in x.iloc[index,6]):
rate = str(float(rate1)*(1-float(Essca)/100))
rate = str(float(rate2)*(1-float(Essca)/100))
else:
rate = str(float(rate1)*(1+float(Essca)/100))
cell = x.iloc[index,8]
if(cell!='nan' and len(x.columns)==11):
rate = rate_comp1(x,index, rate)
rate = str(float(rate2)*(1+float(Essca)/100))
if(cell!='nan' and len(x.columns)==11):
rate = rate_comp1(x, index,rate)
if(rate == 'Tender per is done schedulewise'):
for p in range(len(x)-1,0,-1):
if('Total Value' == x.iloc[p,0]):
zzs = rate
rate = rate_comp1(x, p, rate)
if(rate == 'Tender per is done schedulewise'):
rate = zzs
rate = rate_comp1(x, indexax, rate)
break
else:
pass
if(rate == 'Tender per is done schedulewise'):
rate = zz.search(x.iloc[index,8]).group()
elif(cell!='nan' and len(x.columns)==11):
rate = rate_comp(x,index)
elif(cell!='nan' and len(x.columns)==10):
rate = zz.search(cell).group()
elif(cell=='nan'):
Expand All @@ -465,7 +500,7 @@ def single_schedule(x,zz, index, schedules_single_at, rate1):
rate = str(float(ratea)*(1-float(Essca)/100))
else:
rate = str(float(ratea)*(1+float(Essca)/100))
if(x.iloc[index,6].lower()=='at par' or x.iloc[index,6].lower()=='atpar'):
if(x.iloc[index,6]=='At Par'):
for p in range(len(x)-1,0,-1):
if('Total Value' == x.iloc[p,0]):
zzs = rate
Expand All @@ -479,10 +514,12 @@ def single_schedule(x,zz, index, schedules_single_at, rate1):
else:
rate = zz.search(x.iloc[index,8]).group()
rate = rebate(x,rate)
if('item directory - not applicable' in Schedule_name.lower()):
Schedule_name = Schedule_name.split('(')[0]
return Schedule_name, rate
except:
print('Found error comparing at schedule level with\n',x.iloc[index,1])
return 0,0
return Schedule_name, rate
return '0', '0'
def Rates_comparision(L1tab,LOA_names_dates,LOA_ref,comparer,use_AI):
L1tab = L1tab.applymap(str)
for i in range(len(LOA_names_dates)):
Expand All @@ -503,7 +540,7 @@ def Rates_comparision(L1tab,LOA_names_dates,LOA_ref,comparer,use_AI):
tt = False
x =remove_duplicates(x).applymap(str)
schedules_single_at1 =Schedules_at1(x)
zz = re.compile('\d+.\d+')
zz = re.compile(r'\d+.\d+')
for k in range(len(L1tab)):
if tt:
try:
Expand Down Expand Up @@ -566,7 +603,7 @@ def Rates_comparision(L1tab,LOA_names_dates,LOA_ref,comparer,use_AI):
except:
continue
try:
Schedule_name, rate = single_schedule(schedules,zz, index1,schedules_single_at,rate)
Schedule_name, rate = single_schedule(schedules,zz, index1,schedules_single_at,float(rate))
try:
if(itea in Schedule_name):
name = name1
Expand Down Expand Up @@ -603,7 +640,7 @@ def Rates_comparision(L1tab,LOA_names_dates,LOA_ref,comparer,use_AI):
rate = zz.search(x.iloc[index,5]).group().replace(',','')
except:
continue
Schedule_name, rate = single_schedule(x,zz,index,schedules_single_at1,rate)
Schedule_name, rate = single_schedule(x,zz,index,schedules_single_at1,float(rate))
L1tab = main_df_writing(L1tab, ww, Schedule_name, rate, matchha,k,x.iloc[index,0], x.iloc[index,1])
else:
schedulea = L1tab.iloc[k,0]
Expand Down Expand Up @@ -637,7 +674,7 @@ def LOA_references(L1tab, LOA_reef, PO1,use_AI):
LOA_file1 = LOA_reef.split(';')
LOA_files=[]
Rate_references=[]
zz = re.compile('\d+.\d+')
zz = re.compile(r'\d+.\d+')
for i in range(len(LOA_file1)):
if(LOA_file1[i][-4:]=='html' or LOA_file1[i][-3:]=='htm'):
LOA_files.append(LOA_file1[i])
Expand Down Expand Up @@ -772,11 +809,11 @@ def LOA_references(L1tab, LOA_reef, PO1,use_AI):
comparer.model_delete()
return Final_PO_report
def item1_search(df,p):
gst = re.compile('\d{2}\s\%')
gst = re.compile(r'\d{2}\s\%')
rate = 0
others=0
per1 = '0'
rooat = re.compile('\d+\.\d+')
rooat = re.compile(r'\d+\.\d+')
description=''
for i in range(p,len(df)):
if('PL'==df.iloc[i,0].split(' ')[0] or 'Other'==df.iloc[i,0].split(' ')[0]):
Expand Down Expand Up @@ -841,7 +878,7 @@ def PO_select(file):
for k in range(len(dfa)):
ss.append(dfa[k].df)
df=pd.concat(ss, ignore_index=True)
po_details = re.compile('\s..\d{12} \w+ \d\d-\w+-\d\d')
po_details = re.compile(r'\s..\d{12} \w+ \d\d-\w+-\d\d')
try:
PO_number = po_details.search(df.iloc[0,0]).group()
except:
Expand Down

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