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moved directory structure

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Rushabh Mehta
2012-09-24 19:13:42 +05:30
parent e47a6779e9
commit 2fa2f7178d
1637 changed files with 47 additions and 11450 deletions
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132
accounts/search_criteria/yearly_transaction_summary/yearly_transaction_summary.py Normal file
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# ERPNext - web based ERP (http://erpnext.com)
# Copyright (C) 2012 Web Notes Technologies Pvt Ltd
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from __future__ import unicode_literals
if not filter_values.get('from_fiscal_year'):
msgprint("Please Select From Fiscal Year")
raise Exception
elif not filter_values.get('to_fiscal_year'):
msgprint("Please Select To Fiscal Year")
raise Exception
else:
from_fiscal_year = filter_values.get('from_fiscal_year')
to_fiscal_year = filter_values.get('to_fiscal_year')
company = filter_values.get('company')
from_date = filter_values.get('date')
to_date = filter_values.get('date1')
if from_date != "" and to_date != "":
get_obj('MIS Control').dates(from_fiscal_year,from_date,to_date) # validate dates (i.e. dates should be between particular fiscal year)
# Add columns based on from and to fiscal year
# --------------------------------------------------------------------------------------------------
columns = []
columns.append(['ID','Data','150px',''])
columns.append(['Description','Data','150px',''])
columns.append([from_fiscal_year,'Data','150px','']) # append from fiscal year column
# === get no. of fiscal years between from and to fiscal year and append columns accordingly ========
start_year = from_fiscal_year.split('-')[1] # eg. from fiscal year 2008-2009 . this gives value 2009
end_year = to_fiscal_year.split('-')[0] # eg. to fiscal year 2009-2010 . this gives value 2009
diff = cint(end_year)-cint(start_year)
if diff > 0:
year = cint(start_year);
next_year = 0
f_year = ''
for i in range(1,diff+1):
next_year = cint(year)+1
f_year = cstr(year)+'-'+cstr(next_year)
columns.append([f_year,'Data','150px',''])
# ====================================================================================================
columns.append([to_fiscal_year,'Data','150px','']) # append to fiscal year column
for c in columns:
colnames.append(c[0])
coltypes.append(c[1])
colwidths.append(c[2])
coloptions.append(c[3])
col_idx[c[0]] = len(colnames)-1
out = []
# =========================== condition for result ===================================================
if company:
condition = 'docstatus = 1 and company = "'+company+'"'
else:
condition = 'docstatus = 1'
# ====================================================================================================
for r in res:
det = ''
query = ''
list_range = 0
if from_date != "" and to_date != "":
date_1 = cstr(get_obj('MIS Control').dates(from_fiscal_year,from_date,to_date))
query += 'COUNT(CASE WHEN (fiscal_year = "'+from_fiscal_year+'" and (transaction_date BETWEEN CAST("'+date_1.split('~~~')[0]+'" AS DATE) AND CAST("'+date_1.split('~~~')[1]+'" AS DATE))) THEN name ELSE NULL END),SUM(CASE WHEN (fiscal_year = "'+from_fiscal_year+'" and (transaction_date BETWEEN CAST("'+date_1.split('~~~')[0]+'" AS DATE) AND CAST("'+date_1.split('~~~')[1]+'" AS DATE))) THEN net_total ELSE NULL END),MIN(CASE WHEN (fiscal_year = "'+from_fiscal_year+'" and (transaction_date BETWEEN CAST("'+date_1.split('~~~')[0]+'" AS DATE) AND CAST("'+date_1.split('~~~')[1]+'" AS DATE))) THEN net_total ELSE NULL END),MAX(CASE WHEN (fiscal_year = "'+from_fiscal_year+'" and (transaction_date BETWEEN CAST("'+date_1.split('~~~')[0]+'" AS DATE) AND CAST("'+date_1.split('~~~')[1]+'" AS DATE))) THEN net_total ELSE NULL END),AVG(CASE WHEN (fiscal_year = "'+from_fiscal_year+'" and (transaction_date BETWEEN CAST("'+date_1.split('~~~')[0]+'" AS DATE) AND CAST("'+date_1.split('~~~')[1]+'" AS DATE))) THEN net_total ELSE NULL END),'
else:
query += 'COUNT(CASE WHEN fiscal_year = "'+from_fiscal_year+'" THEN name ELSE NULL END),SUM(CASE WHEN fiscal_year = "'+from_fiscal_year+'" THEN net_total ELSE NULL END),MIN(CASE WHEN fiscal_year = "'+from_fiscal_year+'" THEN net_total ELSE NULL END),MAX(CASE WHEN fiscal_year = "'+from_fiscal_year+'" THEN net_total ELSE NULL END),AVG(CASE WHEN fiscal_year = "'+from_fiscal_year+'" THEN net_total ELSE NULL END),'
list_range += 1
if diff > 0:
year = cint(start_year);
next_year = 0
f_year = ''
for i in range(1,diff+1):
next_year = cint(year)+1;
f_year = cstr(year)+'-'+cstr(next_year);
if from_date != "" and to_date != "":
date_2 = cstr(get_obj('MIS Control').dates(f_year,from_date,to_date))
query += 'COUNT(CASE WHEN (fiscal_year = "'+f_year+'" and (transaction_date BETWEEN CAST("'+date_2.split('~~~')[0]+'" AS DATE) AND CAST("'+date_2.split('~~~')[1]+'" AS DATE))) THEN name ELSE NULL END),SUM(CASE WHEN (fiscal_year = "'+f_year+'" and (transaction_date BETWEEN CAST("'+date_2.split('~~~')[0]+'" AS DATE) AND CAST("'+date_2.split('~~~')[1]+'" AS DATE))) THEN net_total ELSE NULL END),MIN(CASE WHEN (fiscal_year = "'+f_year+'" and (transaction_date BETWEEN CAST("'+date_2.split('~~~')[0]+'" AS DATE) AND CAST("'+date_2.split('~~~')[1]+'" AS DATE))) THEN net_total ELSE NULL END),MAX(CASE WHEN (fiscal_year = "'+f_year+'" and (transaction_date BETWEEN CAST("'+date_2.split('~~~')[0]+'" AS DATE) AND CAST("'+date_2.split('~~~')[1]+'" AS DATE))) THEN net_total ELSE NULL END),AVG(CASE WHEN (fiscal_year = "'+f_year+'" and (transaction_date BETWEEN CAST("'+date_2.split('~~~')[0]+'" AS DATE) AND CAST("'+date_2.split('~~~')[1]+'" AS DATE))) THEN net_total ELSE NULL END),'
else:
query += 'COUNT(CASE WHEN fiscal_year = "'+f_year+'" THEN name ELSE NULL END),SUM(CASE WHEN fiscal_year = "'+f_year+'" THEN net_total ELSE NULL END),MIN(CASE WHEN fiscal_year = "'+f_year+'" THEN net_total ELSE NULL END),MAX(CASE WHEN fiscal_year = "'+f_year+'" THEN net_total ELSE NULL END),AVG(CASE WHEN fiscal_year = "'+f_year+'" THEN net_total ELSE NULL END),'
year += 1
list_range += 1
if from_date != "" and to_date != "":
date_3 = cstr(get_obj('MIS Control').dates(to_fiscal_year,from_date,to_date))
query += 'COUNT(CASE WHEN (fiscal_year = "'+to_fiscal_year+'" and (transaction_date BETWEEN CAST("'+date_3.split('~~~')[0]+'" AS DATE) AND CAST("'+date_3.split('~~~')[1]+'" AS DATE))) THEN name ELSE NULL END),SUM(CASE WHEN (fiscal_year = "'+to_fiscal_year+'" and (transaction_date BETWEEN CAST("'+date_3.split('~~~')[0]+'" AS DATE) AND CAST("'+date_3.split('~~~')[1]+'" AS DATE))) THEN net_total ELSE NULL END),MIN(CASE WHEN (fiscal_year = "'+to_fiscal_year+'" and (transaction_date BETWEEN CAST("'+date_3.split('~~~')[0]+'" AS DATE) AND CAST("'+date_3.split('~~~')[1]+'" AS DATE))) THEN net_total ELSE NULL END),MAX(CASE WHEN (fiscal_year = "'+to_fiscal_year+'" and (transaction_date BETWEEN CAST("'+date_3.split('~~~')[0]+'" AS DATE) AND CAST("'+date_3.split('~~~')[1]+'" AS DATE))) THEN net_total ELSE NULL END),AVG(CASE WHEN (fiscal_year = "'+to_fiscal_year+'" and (transaction_date BETWEEN CAST("'+date_3.split('~~~')[0]+'" AS DATE) AND CAST("'+date_3.split('~~~')[1]+'" AS DATE))) THEN net_total ELSE NULL END)'
else:
query += 'COUNT(CASE WHEN fiscal_year = "'+to_fiscal_year+'" THEN name ELSE NULL END),SUM(CASE WHEN fiscal_year = "'+to_fiscal_year+'" THEN net_total ELSE NULL END),MIN(CASE WHEN fiscal_year = "'+to_fiscal_year+'" THEN net_total ELSE NULL END),MAX(CASE WHEN fiscal_year = "'+to_fiscal_year+'" THEN net_total ELSE NULL END),AVG(CASE WHEN fiscal_year = "'+to_fiscal_year+'" THEN net_total ELSE NULL END)'
list_range += 1
# Main Query
det = sql("SELECT %s from `tab%s` where %s" %(query,r[col_idx['ID']],condition))
# bifurcate all values and append them in list
total_no,total_amt,min_amt,max_amt,avg_amt = [],[],[],[],[]
count = 0
# append values to list
for i in range(list_range):
total_no.append(cstr(det and det[0][count] or 0))
total_amt.append(cstr(det and det[0][count+1] or 0))
min_amt.append(cstr(det and det[0][count+2] or 0))
max_amt.append(cstr(det and det[0][count+3] or 0))
avg_amt.append(cstr(det and det[0][count+4] or 0))
count += 5
for col in range(len(colnames)-1): # this would make all first row blank. just for look
r.append('')
out.append(r)
d = [['Total No',total_no],['Total Amount',total_amt],['Min Amount',min_amt],['Max Amount',max_amt],['Avg Amount',avg_amt]]
for des in range(5):
t_row = ['' for i in range(len(colnames))]
t_row[col_idx['Description']] = d[des][0]
for v in range(list_range):
t_row[col_idx[colnames[v+2]]] = flt(d[des][1][v])
out.append(t_row)