mirror of
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Sourced wnframework-modules from Google Code as erpnext
This commit is contained in:
Pratik Vyas
0
analysis/search_criteria/__init__.py
Normal file
0
analysis/search_criteria/__init__.py
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@@ -0,0 +1,13 @@
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report.customize_filters = function() {
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this.mytabs.items['Select Columns'].hide()
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this.hide_all_filters();
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this.add_filter({fieldname:'fiscal_year', label:'Fiscal Year', fieldtype:'Link', options:'Fiscal Year', report_default:sys_defaults.fiscal_year, ignore : 1, parent:'DocType'});
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this.add_filter({fieldname:'company', label:'Company', fieldtype:'Link', options:'Company', report_default:sys_defaults.company, ignore : 1, parent:'DocType'});
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this.add_filter({fieldname:'period', label:'Period', fieldtype:'Select', options:'Monthly'+NEWLINE+'Quarterly'+NEWLINE+'Half Yearly'+NEWLINE+'Annual',ignore : 1, parent:'DocType'});
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}
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report.aftertableprint = function(t) {
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$yt(t,'*',1,{NEWLINE:'<br>'});
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}
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@@ -0,0 +1,151 @@
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if filter_values.get('period'):
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period_values = filter_values.get('period').split(NEWLINE)
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if not filter_values.get('fiscal_year'):
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msgprint("Please Select Fiscal Year")
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raise Exception
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elif not filter_values.get('period'):
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msgprint("Please Select Period")
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raise Exception
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elif len(period_values) > 2:
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msgprint("You can view report only for one period. Please select only one value in period.")
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raise Exception
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else:
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fiscal_year = filter_values.get('fiscal_year')
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period = filter_values.get('period')
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company = filter_values.get('company')
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# get fiscal year start date and start month
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# ---------------------------------------------------------
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year_start_date = sql("select year_start_date,MONTH(year_start_date) from `tabFiscal Year` where name = %s",fiscal_year)
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start_date = year_start_date and year_start_date[0][0] or ''
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start_month = year_start_date and year_start_date[0][1] or ''
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month_name = ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']
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# Add columns based on period
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# --------------------------------
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columns = []
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columns.append(['ID','Data','150px',''])
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columns.append(['Description','Data','150px',''])
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# ================ Annual ======================
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if period == 'Annual':
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columns.append([fiscal_year,'Currency','150px',''])
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# =========== Half Yearly ======================
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elif period == 'Half Yearly':
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columns.append([month_name[start_month-1]+' to '+month_name[start_month+4],'Currency','150px','']) # first half
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if start_month == 1: # this is case when fiscal year starts with JAN
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columns.append([month_name[start_month+5]+' to '+month_name[start_month+11],'Currency','150px',''])
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else: #this is case when fiscal year starts with other than JAN
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columns.append([month_name[start_month+5]+' to '+month_name[start_month-2],'Currency','150px',''])
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columns.append(['Total','Currency','150px',''])
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# ================ Quarterly ===================
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elif period == 'Quarterly':
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length_1 = (len(month_name) - start_month + 1) / 3 #this gives the total no. of times we need to iterate for quarter
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val = length_1 % 4
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q_no = 1
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for i in range(length_1):
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value = 3*i + val
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columns.append(['Q'+cstr(q_no)+' ('+month_name[value]+' to '+month_name[value+2]+')','Currency','150px',''])
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q_no += 1
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length_2 = (start_month - 1) / 3 #this gives the total no. of times we need to iterate for quarter (this is required only if fiscal year starts from april)
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for i in range(length_2):
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columns.append(['Q'+cstr(q_no)+' ('+month_name[3*i]+' to '+month_name[3*i+2]+')','Currency','150px',''])
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q_no += 1;
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columns.append(['Total','Currency','150px',''])
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# =============== Monthly ======================
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elif period == 'Monthly':
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for i in range(start_month-1,len(month_name)):
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columns.append([month_name[i],'Currency','150px',''])
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for i in range(start_month-1):
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columns.append([month_name[i],'Currency','150px',''])
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columns.append(['Total','Currency','150px',''])
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for c in columns:
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colnames.append(c[0])
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coltypes.append(c[1])
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colwidths.append(c[2])
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coloptions.append(c[3])
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col_idx[c[0]] = len(colnames)-1
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out = []
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if company:
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condition = 'docstatus = 1 and fiscal_year = "'+fiscal_year+'" and company = "'+company+'"'
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else:
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condition = 'docstatus = 1 and fiscal_year = "'+fiscal_year+'"'
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for r in res:
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det = ''
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list_range = 0
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query = ''
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# ================= Annual Report ===============
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if period == 'Annual':
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# Main Query
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det = sql("SELECT count(*), SUM(net_total), MIN(net_total), MAX(net_total), AVG(net_total) from `tab%s` where %s" %(r[col_idx['ID']],condition))
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list_range = 1
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# ============ Half Yearly Report ===============
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elif period == 'Half Yearly':
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# first half
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query += 'COUNT(CASE WHEN MONTH(transaction_date) BETWEEN '+cstr(start_month)+' AND '+cstr(start_month+5)+' THEN name ELSE NULL END),SUM(CASE WHEN MONTH(transaction_date) BETWEEN '+cstr(start_month)+' AND '+cstr(start_month+5)+' THEN net_total ELSE NULL END),MIN(CASE WHEN MONTH(transaction_date) BETWEEN '+cstr(start_month)+' AND '+cstr(start_month+5)+' THEN net_total ELSE NULL END),MAX(CASE WHEN MONTH(transaction_date) BETWEEN '+cstr(start_month)+' AND '+cstr(start_month+5)+' THEN net_total ELSE NULL END),AVG(CASE WHEN MONTH(transaction_date) BETWEEN '+cstr(start_month)+' AND '+cstr(start_month+5)+' THEN net_total ELSE NULL END),'
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# second half
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query += 'COUNT(CASE WHEN MONTH(transaction_date) NOT BETWEEN '+cstr(start_month)+' AND '+cstr(start_month+5)+' THEN name ELSE NULL END),SUM(CASE WHEN MONTH(transaction_date) NOT BETWEEN '+cstr(start_month)+' AND '+cstr(start_month+5)+' THEN net_total ELSE NULL END),MIN(CASE WHEN MONTH(transaction_date) NOT BETWEEN '+cstr(start_month)+' AND '+cstr(start_month+5)+' THEN net_total ELSE NULL END),MAX(CASE WHEN MONTH(transaction_date) NOT BETWEEN '+cstr(start_month)+' AND '+cstr(start_month+5)+' THEN net_total ELSE NULL END),AVG(CASE WHEN MONTH(transaction_date) NOT BETWEEN '+cstr(start_month)+' AND '+cstr(start_month+5)+' THEN net_total ELSE NULL END),'
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# Main Query
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det = sql("SELECT %s count(*), SUM(net_total), MIN(net_total), MAX(net_total), AVG(net_total) from `tab%s` where %s and transaction_date > CAST('%s' AS DATE)" %(query,r[col_idx['ID']],condition,start_date))
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list_range = 3
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# =============== Quarterly Report ==============
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elif period == 'Quarterly':
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length_1 = (len(month_name) - start_month + 1) / 3; #this gives the total no. of times we need to iterate for quarter
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val = length_1 % 4;
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for i in range(length_1):
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value = 3*i + val;
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query += 'COUNT(CASE WHEN MONTH(transaction_date) BETWEEN '+cstr(value+1)+' AND '+cstr(value+3)+' THEN name ELSE NULL END),SUM(CASE WHEN MONTH(transaction_date) BETWEEN '+cstr(value+1)+' AND '+cstr(value+3)+' THEN net_total ELSE NULL END),MIN(CASE WHEN MONTH(transaction_date) BETWEEN '+cstr(value+1)+' AND '+cstr(value+3)+' THEN net_total ELSE NULL END),MAX(CASE WHEN MONTH(transaction_date) BETWEEN '+cstr(value+1)+' AND '+cstr(value+3)+' THEN net_total ELSE NULL END),AVG(CASE WHEN MONTH(transaction_date) BETWEEN '+cstr(value+1)+' AND '+cstr(value+3)+' THEN net_total ELSE NULL END),'
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length_2 = (start_month - 1) / 3; #this gives the total no. of times we need to iterate for quarter (this is required only if fiscal year starts from april)
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for i in range(length_2):
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query += 'COUNT(CASE WHEN MONTH(transaction_date) BETWEEN '+cstr(3*i+1)+' AND '+cstr(3*i+3)+' THEN name ELSE NULL END),SUM(CASE WHEN MONTH(transaction_date) BETWEEN '+cstr(3*i+1)+' AND '+cstr(3*i+3)+' THEN net_total ELSE NULL END),MIN(CASE WHEN MONTH(transaction_date) BETWEEN '+cstr(3*i+1)+' AND '+cstr(3*i+3)+' THEN net_total ELSE NULL END),MAX(CASE WHEN MONTH(transaction_date) BETWEEN '+cstr(3*i+1)+' AND '+cstr(3*i+3)+' THEN net_total ELSE NULL END),AVG(CASE WHEN MONTH(transaction_date) BETWEEN '+cstr(3*i+1)+' AND '+cstr(3*i+3)+' THEN net_total ELSE NULL END),';
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# Main Query
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det = sql("SELECT %s count(*), SUM(net_total), MIN(net_total), MAX(net_total), AVG(net_total) from `tab%s` where %s and transaction_date > CAST('%s' AS DATE)" %(query,r[col_idx['ID']],condition,start_date))
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list_range = 5
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# ================ Monthly Report ===============
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elif period == 'Monthly':
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# for loop is required twice coz fiscal year starts from April (this will also work if fiscal year starts in January)
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for i in range(start_month-1,len(month_name)):
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query += 'COUNT(CASE WHEN MONTH(transaction_date) = '+cstr(i+1)+' THEN name ELSE NULL END), SUM(CASE WHEN MONTH(transaction_date) = '+cstr(i+1)+' THEN net_total ELSE NULL END),MIN(CASE WHEN MONTH(transaction_date) = '+cstr(i+1)+' THEN net_total ELSE NULL END), MAX(CASE WHEN MONTH(transaction_date) = '+cstr(i+1)+' THEN net_total ELSE NULL END), AVG(CASE WHEN MONTH(transaction_date) = '+cstr(i+1)+' THEN net_total ELSE NULL END),'
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# the above query calculates total_no, total_amt, min_amt, max_amt, avg_amt of doctypes in monthwise
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for i in range(start_month-1):
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query += 'COUNT(CASE WHEN MONTH(transaction_date) = '+cstr(i+1)+' THEN name ELSE NULL END), SUM(CASE WHEN MONTH(transaction_date) = '+cstr(i+1)+' THEN net_total ELSE NULL END),MIN(CASE WHEN MONTH(transaction_date) = '+cstr(i+1)+' THEN net_total ELSE NULL END), MAX(CASE WHEN MONTH(transaction_date) = '+cstr(i+1)+' THEN net_total ELSE NULL END), AVG(CASE WHEN MONTH(transaction_date) = '+cstr(i+1)+' THEN net_total ELSE NULL END),'
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# Main Query
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det = sql("SELECT %s count(*), SUM(net_total), MIN(net_total), MAX(net_total), AVG(net_total) from `tab%s` where %s and transaction_date > CAST('%s' AS DATE)" %(query,r[col_idx['ID']],condition,start_date))
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list_range = 13
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# bifurcate all values and append them in list
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total_no,total_amt,min_amt,max_amt,avg_amt = [],[],[],[],[]
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count = 0
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# append values to list
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for i in range(list_range):
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total_no.append(cstr(det and det[0][count] or 0))
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total_amt.append(cstr(det and det[0][count+1] or 0))
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min_amt.append(cstr(det and det[0][count+2] or 0))
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max_amt.append(cstr(det and det[0][count+3] or 0))
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avg_amt.append(cstr(det and det[0][count+4] or 0))
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count += 5
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for col in range(len(colnames)-1): # this would make all first row blank. just for look
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r.append('')
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out.append(r)
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d = [['Total No',total_no],['Total Amount',total_amt],['Min Amount',min_amt],['Max Amount',max_amt],['Avg Amount',avg_amt]]
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for des in range(5):
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t_row = ['' for i in range(len(colnames))]
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t_row[col_idx['Description']] = d[des][0]
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for v in range(list_range):
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t_row[col_idx[colnames[v+2]]] = flt(d[des][1][v])
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out.append(t_row)
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@@ -0,0 +1 @@
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SELECT DISTINCT name FROM tabDocType WHERE document_type="Transaction" AND ifnull(istable,0) = 0
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@@ -0,0 +1,37 @@
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[
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{
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'add_col': None,
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'add_cond': None,
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'add_tab': None,
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'columns': 'Profile\x01ID',
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'creation': '2010-09-20 13:00:41',
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'criteria_name': 'Monthly Transaction Summary',
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'custom_query': None,
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'description': None,
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'dis_filters': None,
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'disabled': None,
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'doc_type': 'Profile',
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'docstatus': 0,
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'doctype': 'Search Criteria',
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'filters': "{'DocType\x01Period':'Monthly'}",
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'graph_series': None,
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'graph_values': None,
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'group_by': None,
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'idx': None,
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'modified': '2010-09-17 16:02:25',
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'modified_by': 'Administrator',
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'module': 'Analysis',
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'name': 'monthly_transaction_summary',
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'owner': 'Administrator',
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'page_len': None,
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'parent': None,
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'parent_doc_type': None,
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'parentfield': None,
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'parenttype': None,
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'report_script': None,
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'server_script': None,
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'sort_by': '`tabProfile`.`name`',
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'sort_order': 'DESC',
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'standard': 'Yes'
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}
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]
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0
analysis/search_criteria/trend_analyzer/__init__.py
Normal file
0
analysis/search_criteria/trend_analyzer/__init__.py
Normal file
121
analysis/search_criteria/trend_analyzer/trend_analyzer.js
Normal file
121
analysis/search_criteria/trend_analyzer/trend_analyzer.js
Normal file
@@ -0,0 +1,121 @@
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report.customize_filters = function() {
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this.hide_all_filters();
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this.add_filter({fieldname:'transaction', label:'Transaction', fieldtype:'Select', options:'Quotation'+NEWLINE+'Sales Order'+NEWLINE+'Delivery Note'+NEWLINE+'Sales Invoice'+NEWLINE+'Purchase Order'+NEWLINE+'Purchase Receipt'+NEWLINE+'Purchase Invoice',report_default:'Delivery Note',ignore : 1,parent:'Profile',in_first_page : 1,single_select : 1});
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this.add_filter({fieldname:'period', label:'Period', fieldtype:'Select', options:'Monthly'+NEWLINE+'Quarterly'+NEWLINE+'Half Yearly'+NEWLINE+'Annual',report_default:'Quarterly',ignore : 1, parent:'Profile',in_first_page:1,single_select:1});
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this.add_filter({fieldname:'based_on', label:'Based On', fieldtype:'Select', options:'Item'+NEWLINE+'Item Group'+NEWLINE+'Customer'+NEWLINE+'Customer Group'+NEWLINE+'Territory'+NEWLINE+'Supplier'+NEWLINE+'Supplier Type', ignore : 1, parent:'Profile', report_default:'Item', in_first_page : 1,single_select:1});
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this.add_filter({fieldname:'group_by', label:'Group By', fieldtype:'Select', options:NEWLINE+'Item'+NEWLINE+'Customer'+NEWLINE+'Supplier', ignore : 1, parent:'Profile',single_select:1});
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this.add_filter({fieldname:'order_type', label:'Order Type', fieldtype:'Select', options:NEWLINE+'Sales'+NEWLINE+'Maintenance',ignore : 1, parent:'Profile',single_select:1});
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this.add_filter({fieldname:'company', label:'Company', fieldtype:'Link', options:'Company', report_default:sys_defaults.company, ignore : 1, parent:'Profile'});
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this.set_filter_properties('Profile','Fiscal Year',{filter_hide:0, in_first_page:1, report_default: sys_defaults.fiscal_year});
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this.get_filter('Profile', 'Fiscal Year').set_as_single();
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// Add Filters
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this.add_filter({fieldname:'item', label:'Item', fieldtype:'Link', options:'Item', ignore : 1, parent:'Profile'});
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this.add_filter({fieldname:'item_group', label:'Item Group', fieldtype:'Link', options:'Item Group', ignore : 1, parent:'Profile'});
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this.add_filter({fieldname:'customer', label:'Customer', fieldtype:'Link', options:'Customer', ignore : 1, parent:'Profile'});
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this.add_filter({fieldname:'customer_group', label:'Customer Group', fieldtype:'Link', options:'Customer Group', ignore : 1, parent:'Profile'});
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this.add_filter({fieldname:'territory', label:'Territory', fieldtype:'Link', options:'Territory', ignore : 1, parent:'Profile'});
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this.add_filter({fieldname:'supplier', label:'Supplier', fieldtype:'Link', options:'Supplier', ignore : 1, parent:'Profile'});
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this.add_filter({fieldname:'supplier_type', label:'Supplier Type', fieldtype:'Link', options:'Supplier Type', ignore : 1, parent:'Profile'});
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}
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this.mytabs.tabs['Select Columns'].hide();
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report.aftertableprint = function(t) {
|
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$yt(t,'*',1,{whiteSpace:'pre'});
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}
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var validate_values = function(trans,based_on,order_type) {
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if(!fiscal_year){
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msgprint("Please select Fiscal Year");
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return 0;
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}
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if((in_list(['Quotation','Sales Order','Delivery Note','Sales Invoice'],trans) && in_list(['Supplier','Supplier Type'],based_on)) || (in_list(['Purchase Order','Purchase Receipt','Purchase Invoice'],trans) && in_list(['Customer','Customer Group','Territory'],based_on))){
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msgprint("Sorry! You cannot fetch "+trans+" trend based on "+based_on);
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return 0;
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}
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if(in_list(['Purchase Order','Purchase Receipt','Purchase Invoice'],trans) && order_type){
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msgprint("Please deselect Order Type for "+trans);
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return 0;
|
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}
|
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return 1;
|
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}
|
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|
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report.get_query = function() {
|
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trans = this.get_filter('Profile', 'Transaction').get_value();
|
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order_type = this.get_filter('Profile', 'Order Type').get_value();
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based_on = this.get_filter('Profile', 'Based On').get_value();
|
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company = this.get_filter('Profile', 'Company').get_value();
|
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fiscal_year = this.get_filter('Profile', 'Fiscal Year').get_value();
|
||||
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if(validate_values(trans,based_on,order_type)){
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col = '';
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add_cond = '';
|
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add_col = '';
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add_tables = '';
|
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sp_cond = '';
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if(trans == 'Sales Invoice') trans = 'Receivable Voucher';
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else if(trans == 'Purchase Invoice') trans = 'Payable Voucher';
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trans_det = trans+' Detail'
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if(trans == 'Receivable Voucher') trans_det = 'RV Detail';
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else if(trans == 'Payable Voucher') trans_det = 'PV Detail';
|
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else if(trans == 'Purchase Order') trans_det = 'PO Detail';
|
||||
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if(order_type != '') add_code += ' AND t1.order_type = '+order_type;
|
||||
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switch(based_on){
|
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case 'Item' : item = this.get_filter('Profile', 'Item').get_value();
|
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col = 'DISTINCT t2.item_code, t3.item_name';
|
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add_tables = ',tabItem t3';
|
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add_cond += ' AND t2.item_code = t3.name';
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if(item) add_cond += ' AND t2.item_code = "'+item+'"';
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break;
|
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case 'Customer' : cust = this.get_filter('Profile', 'Customer').get_value();
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col = 'DISTINCT t1.customer, t3.territory';
|
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add_tables = ',tabCustomer t3';
|
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add_cond += ' AND t1.customer = t3.name';
|
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if(cust) add_cond += ' AND t1.customer = "'+cust+'"';
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break;
|
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case 'Supplier' : supp = this.get_filter('Profile', 'Supplier').get_value();
|
||||
col = 'DISTINCT t1.supplier, t3.supplier_type';
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add_tables = ',tabSupplier t3';
|
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add_cond += ' AND t1.supplier = t3.name';
|
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if(supp) add_cond += ' AND t1.supplier = "'+supp+'"';
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break;
|
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case 'Supplier Type' : supp_type = this.get_filter('Profile', 'Supplier Type').get_value();
|
||||
col = 'DISTINCT t3.supplier_type';
|
||||
add_tables = ',tabSupplier t3';
|
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add_cond += ' AND t1.supplier = t3.name';
|
||||
if(supp_type) add_cond += ' AND t1.supplier_type = "'+supp_type+'"';
|
||||
break;
|
||||
case 'Item Group' : ig = this.get_filter('Profile', 'Item Group').get_value();
|
||||
if(ig) sp_cond += ' AND parent.name = "'+ig+'"';
|
||||
break;
|
||||
case 'Customer Group' : cg = this.get_filter('Profile', 'Customer Group').get_value();
|
||||
if(cg) sp_cond += ' AND parent.name = "'+cg+'"';
|
||||
break;
|
||||
case 'Territory' : ter = this.get_filter('Profile', 'Territory').get_value();
|
||||
if(ter) sp_cond += ' AND parent.name = "'+ter+'"';
|
||||
break;
|
||||
}
|
||||
|
||||
|
||||
if(based_on == 'Item' || based_on == 'Customer' || based_on == 'Supplier' || based_on == 'Supplier Type')
|
||||
var q ='SELECT '+col+' FROM `tab'+trans+'` t1, `tab'+trans_det+'` t2 '+add_tables+' WHERE t1.fiscal_year = "'+fiscal_year+'" and t1.company = "'+company+'" and t2.parent = t1.name '+add_cond;
|
||||
else
|
||||
var q = 'SELECT CONCAT(REPEAT(" ", COUNT(parent.name) - 1), node.name) AS "Name" FROM `tab'+based_on+'` node,`tab'+based_on+'` parent WHERE node.lft BETWEEN parent.lft and parent.rgt and node.docstatus !=2 '+sp_cond+' GROUP BY node.name ORDER BY node.lft';
|
||||
|
||||
return q;
|
||||
}
|
||||
}
|
||||
160
analysis/search_criteria/trend_analyzer/trend_analyzer.py
Normal file
160
analysis/search_criteria/trend_analyzer/trend_analyzer.py
Normal file
@@ -0,0 +1,160 @@
|
||||
# ********************************************* INITIALIZATION *******************************************
|
||||
out = []
|
||||
|
||||
# Filter Values
|
||||
# =============================================
|
||||
based_on = filter_values.get('based_on')
|
||||
group_by = filter_values.get('group_by')
|
||||
trans = filter_values.get('transaction')
|
||||
period = filter_values.get('period')
|
||||
order_type = filter_values.get('order_type')
|
||||
company = filter_values.get('company')
|
||||
fiscal_year = filter_values.get('fiscal_year')
|
||||
item = filter_values.get('item')
|
||||
item_group = filter_values.get('item_group')
|
||||
customer = filter_values.get('customer')
|
||||
customer_group = filter_values.get('customer_group')
|
||||
territory = filter_values.get('territory')
|
||||
supplier = filter_values.get('supplier')
|
||||
supplier_type = filter_values.get('supplier_type')
|
||||
|
||||
|
||||
|
||||
# ********************************************* SET DEFAULTS **************************************************
|
||||
# Details Table
|
||||
# --------------
|
||||
if trans == 'Sales Invoice': trans = 'Receivable Voucher'
|
||||
elif trans == 'Purchase Invoice': trans = 'Payable Voucher'
|
||||
|
||||
trans_det = trans+' Detail'
|
||||
|
||||
if trans == 'Receivable Voucher': trans_det = 'RV Detail'
|
||||
elif trans == 'Payable Voucher': trans_det = 'PV Detail'
|
||||
elif trans == 'Purchase Order': trans_det = 'PO Detail'
|
||||
|
||||
col_names, query_val = get_obj('TA Control').get_single_year_query_value(fiscal_year, period, trans, trans_det)
|
||||
query_val += 'SUM(t2.qty), SUM(t2.amount)'
|
||||
|
||||
col_names.append('Total (Qty)')
|
||||
col_names.append('Total (Amt)')
|
||||
|
||||
|
||||
# ********************************************* VALIDATIONS ***************************************************
|
||||
if (based_on in ['Customer','Customer Group','Territory'] and group_by == 'Supplier') or (based_on in ['Supplier','Supplier Type'] and group_by == 'Customer'):
|
||||
msgprint("Sorry! You cannot group Trend Analyzer based on %s by %s" % (based_on,group_by))
|
||||
raise Exception
|
||||
|
||||
if based_on == group_by:
|
||||
msgprint("Based On and Group By value cannot be same for Trend Analyzer")
|
||||
raise Exception
|
||||
|
||||
|
||||
# ********************************************** ADD COLUMNS **********************************************
|
||||
cols = [[based_on, 'Data', '300px', '']]
|
||||
cr = 1
|
||||
if based_on == 'Item':
|
||||
cols.append(['Item Name','Data','200px',''])
|
||||
cr = 2
|
||||
elif based_on == 'Customer':
|
||||
cols.append(['Territory','Link','150px','Territory'])
|
||||
cr = 2
|
||||
elif based_on == 'Supplier':
|
||||
cols.append(['Supplier Type','Link','150px','Supplier Type'])
|
||||
cr = 2
|
||||
if group_by:
|
||||
cr += 1
|
||||
|
||||
if group_by:
|
||||
cols.append([group_by,'Data','150px',''])
|
||||
|
||||
for c in col_names:
|
||||
cols.append([c,'Currency','150px',''])
|
||||
|
||||
for c in cols:
|
||||
colnames.append(c[0])
|
||||
coltypes.append(c[1])
|
||||
colwidths.append(c[2])
|
||||
coloptions.append(c[3])
|
||||
col_idx[c[0]] = len(colnames)-1
|
||||
|
||||
|
||||
# ******************************************* ADDITIONAL CONDITION ************************************************
|
||||
add_cond = ' t2.parent = t1.name AND t1.company = "%s" AND t1.fiscal_year = "%s" and t1.docstatus = 1' % (company, fiscal_year)
|
||||
add_tab = ' `tab'+trans+'` t1, `tab'+trans_det+'` t2'
|
||||
if order_type: add_cond += ' AND t1.order_type = "%s"' % order_type
|
||||
|
||||
|
||||
# Item
|
||||
if item or based_on == 'Item':
|
||||
add_cond += ' AND t2.item_code = "%s"' % (based_on != 'Item' and item or '%(value)s')
|
||||
|
||||
# Item Group
|
||||
if item_group or based_on == 'Item Group':
|
||||
add_tab += ' ,`tabItem` t3, `tabItem Group` t4 '
|
||||
add_cond += ' AND t3.name = t2.item_code AND t3.item_group = t4.name and (t4.name = "%s" or t4.name IN (SELECT t5.name FROM `tabItem Group` t5,`tabItem Group` t6 WHERE t5.lft BETWEEN t6.lft and t6.rgt and t5.docstatus !=2 and ifnull(t5.is_group,"No") = "No" and t6.name = "%s"))' % (based_on != 'Item Group' and item_group or '%(value)s', based_on != 'Item Group' and item_group or '%(value)s')
|
||||
|
||||
# Customer
|
||||
if customer or based_on == 'Customer':
|
||||
add_cond += ' AND t1.customer = "%s"' % (based_on != 'Customer' and customer or '%(value)s')
|
||||
|
||||
# Customer Group
|
||||
if customer_group or based_on == 'Customer Group':
|
||||
add_tab += ' ,`tabCustomer` t7, `tabCustomer Group` t8 '
|
||||
add_cond += ' AND t7.name = t1.customer AND t7.customer_group = t8.name and (t8.name = "%s" or t8.name IN (SELECT t9.name FROM `tabCustomer Group` t9,`tabCustomer Group` t10 WHERE t9.lft BETWEEN t10.lft and t10.rgt and t9.docstatus !=2 and ifnull(t9.is_group,"No") = "No" and t10.name = "%s"))' % (based_on != 'Customer Group' and customer_group or '%(value)s', based_on != 'Customer Group' and customer_group or '%(value)s')
|
||||
|
||||
# Territory
|
||||
if territory or based_on == 'Territory':
|
||||
add_tab += ' ,`tabTerritory` t11 '
|
||||
add_cond += ' AND t1.territory = t11.name AND t1.territory = t11.name and (t11.name = "%s" or t11.name IN (SELECT t12.name FROM `tabTerritory` t12,`tabTerritory` t13 WHERE t12.lft BETWEEN t13.lft and t13.rgt and t12.docstatus !=2 and ifnull(t12.is_group,"No") = "No" and t13.name = "%s"))' % (based_on != 'Territory' and territory or '%(value)s', based_on != 'Territory' and territory or '%(value)s')
|
||||
|
||||
# Supplier
|
||||
if supplier or based_on == 'Supplier':
|
||||
add_cond += ' AND t1.supplier = "%s"' % (based_on != 'Supplier' and supplier or '%(value)s')
|
||||
|
||||
# Supplier Type
|
||||
if supplier_type or based_on == 'Supplier Type':
|
||||
add_tab += ' ,`tabSupplier` t14, `tabSupplier Type` t15 '
|
||||
add_cond += ' AND t14.name = t1.supplier AND t14.supplier_type = t15.name and t15.name = "%s"' % (based_on != 'Supplier Type' and supplier_type or '%(value)s')
|
||||
|
||||
|
||||
# Column to be seleted for group by condition
|
||||
# ==============================================
|
||||
sel_col = ''
|
||||
if group_by == 'Item':
|
||||
sel_col = 't2.item_code'
|
||||
elif group_by == 'Customer':
|
||||
sel_col = 't1.customer'
|
||||
elif group_by == 'Supplier':
|
||||
sel_col = 't1.supplier'
|
||||
|
||||
|
||||
# ********************************************** Result Set ************************************************
|
||||
for r in res:
|
||||
main_det = sql("SELECT %s FROM %s WHERE %s" % (query_val, add_tab, add_cond % {'value':cstr(r[col_idx[based_on]]).strip()}))
|
||||
if group_by:
|
||||
for col in range(cr,cr+1): # this would make all first row blank. just for look
|
||||
r.append('')
|
||||
if main_det[0][len(colnames) - cr - 1]:
|
||||
for d in range(len(colnames) - cr):
|
||||
r.append(flt(main_det[0][d]))
|
||||
out.append(r)
|
||||
|
||||
if group_by:
|
||||
flag = 1
|
||||
# check for root nodes
|
||||
if based_on in ['Item Group','Customer Group','Territory']:
|
||||
is_grp = sql("select is_group from `tab%s` where name = '%s'" % (based_on, cstr(r[col_idx[based_on]]).strip()))
|
||||
is_grp = is_grp and cstr(is_grp[0][0]) or ''
|
||||
if is_grp != 'No':
|
||||
flag = 0
|
||||
|
||||
if flag == 1:
|
||||
det = [x[0] for x in sql("SELECT DISTINCT %s FROM %s where %s" % (sel_col, add_tab, add_cond % {'value':cstr(r[col_idx[based_on]]).strip()}))]
|
||||
|
||||
for des in range(len(det)):
|
||||
t_row = ['' for i in range(len(colnames))]
|
||||
t_row[col_idx[group_by]] = cstr(det[des])
|
||||
gr_det = sql("SELECT %s FROM %s WHERE %s = '%s' and %s" % (query_val, add_tab, sel_col, cstr(det[des]), add_cond % {'value':cstr(r[col_idx[based_on]]).strip()}))
|
||||
for d in range(len(col_names)):
|
||||
t_row[col_idx[col_names[d]]] = flt(gr_det[0][d])
|
||||
out.append(t_row)
|
||||
37
analysis/search_criteria/trend_analyzer/trend_analyzer.txt
Normal file
37
analysis/search_criteria/trend_analyzer/trend_analyzer.txt
Normal file
@@ -0,0 +1,37 @@
|
||||
[
|
||||
{
|
||||
'add_col': None,
|
||||
'add_cond': None,
|
||||
'add_tab': None,
|
||||
'columns': 'Profile\x01ID,Profile\x01Owner',
|
||||
'creation': '2010-12-14 10:33:09',
|
||||
'criteria_name': 'Trend Analyzer',
|
||||
'custom_query': '',
|
||||
'description': None,
|
||||
'dis_filters': None,
|
||||
'disabled': None,
|
||||
'doc_type': 'Profile',
|
||||
'docstatus': 0,
|
||||
'doctype': 'Search Criteria',
|
||||
'filters': '{}',
|
||||
'graph_series': None,
|
||||
'graph_values': None,
|
||||
'group_by': None,
|
||||
'idx': None,
|
||||
'modified': '2010-11-10 11:06:06',
|
||||
'modified_by': 'Administrator',
|
||||
'module': 'Analysis',
|
||||
'name': 'trend_analyzer',
|
||||
'owner': 'saumil@webnotestech.com',
|
||||
'page_len': 50,
|
||||
'parent': None,
|
||||
'parent_doc_type': None,
|
||||
'parentfield': None,
|
||||
'parenttype': None,
|
||||
'report_script': None,
|
||||
'server_script': None,
|
||||
'sort_by': '`tabProfile`.`name`',
|
||||
'sort_order': 'DESC',
|
||||
'standard': 'Yes'
|
||||
}
|
||||
]
|
||||
@@ -0,0 +1,12 @@
|
||||
report.customize_filters = function() {
|
||||
this.mytabs.items['Select Columns'].hide()
|
||||
this.hide_all_filters();
|
||||
this.add_filter({fieldname:'company', label:'Company', fieldtype:'Link', options:'Company', report_default:sys_defaults.company, ignore : 1, parent:'Profile'});
|
||||
this.add_filter({fieldname:'from_fiscal_year', label:'From Fiscal Year', fieldtype:'Link', options:'Fiscal Year', report_default:sys_defaults.fiscal_year, ignore : 1, parent:'Profile'});
|
||||
this.add_filter({fieldname:'to_fiscal_year', label:'To Fiscal Year', fieldtype:'Link', options:'Fiscal Year', report_default:sys_defaults.fiscal_year, ignore : 1, parent:'Profile'});
|
||||
this.add_filter({fieldname:'date', label:'Date', fieldtype:'Date', options:'',ignore : 1, parent:'Profile'});
|
||||
}
|
||||
|
||||
report.aftertableprint = function(t) {
|
||||
$yt(t,'*',1,{NEWLINE:'<br>'});
|
||||
}
|
||||
@@ -0,0 +1,115 @@
|
||||
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)
|
||||
@@ -0,0 +1 @@
|
||||
SELECT DISTINCT name FROM tabDocType WHERE document_type="Transaction" AND ifnull(istable,0) = 0
|
||||
@@ -0,0 +1,37 @@
|
||||
[
|
||||
{
|
||||
'add_col': None,
|
||||
'add_cond': None,
|
||||
'add_tab': None,
|
||||
'columns': 'Profile\x01ID',
|
||||
'creation': '2010-09-20 13:00:41',
|
||||
'criteria_name': 'Yearly Transaction Summary',
|
||||
'custom_query': None,
|
||||
'description': None,
|
||||
'dis_filters': None,
|
||||
'disabled': None,
|
||||
'doc_type': 'Profile',
|
||||
'docstatus': 0,
|
||||
'doctype': 'Search Criteria',
|
||||
'filters': "{'DocType\x01Fiscal Year':'2009-2010','DocType\x01Company':'Alpha Company','DocType\x01Period':'Monthly'}",
|
||||
'graph_series': None,
|
||||
'graph_values': None,
|
||||
'group_by': None,
|
||||
'idx': None,
|
||||
'modified': '2010-09-17 16:03:04',
|
||||
'modified_by': 'Administrator',
|
||||
'module': 'Analysis',
|
||||
'name': 'yearly_transaction_summary',
|
||||
'owner': 'Administrator',
|
||||
'page_len': None,
|
||||
'parent': None,
|
||||
'parent_doc_type': None,
|
||||
'parentfield': None,
|
||||
'parenttype': None,
|
||||
'report_script': None,
|
||||
'server_script': None,
|
||||
'sort_by': '`tabProfile`.`name`',
|
||||
'sort_order': 'DESC',
|
||||
'standard': 'Yes'
|
||||
}
|
||||
]
|
||||
Reference in New Issue
Block a user