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Rushabh Mehtaad45e312013-11-20 12:59:58 +05301# Copyright (c) 2013, Web Notes Technologies Pvt. Ltd. and Contributors
Rushabh Mehtae67d1fb2013-08-05 14:59:54 +05302# License: GNU General Public License v3. See license.txt
Saurabh0326f542013-06-13 19:17:56 +05303
4from __future__ import unicode_literals
5import webnotes
Nabin Haitb8ebbca2013-06-20 13:03:10 +05306from webnotes.utils import add_days, add_months, cstr, getdate
7from webnotes import _
Saurabh0326f542013-06-13 19:17:56 +05308
Saurabh1848b712013-06-14 15:03:45 +05309def get_columns(filters, trans):
Nabin Haitb8ebbca2013-06-20 13:03:10 +053010 validate_filters(filters)
Saurabh0326f542013-06-13 19:17:56 +053011
Saurabhf8f68c52013-06-20 18:52:31 +053012 # get conditions for based_on filter cond
Saurabh2b02f142013-06-21 10:46:26 +053013 based_on_details = based_wise_colums_query(filters.get("based_on"), trans)
Saurabhf8f68c52013-06-20 18:52:31 +053014 # get conditions for periodic filter cond
15 period_cols, period_select = period_wise_colums_query(filters, trans)
16 # get conditions for grouping filter cond
17 group_by_cols = group_wise_column(filters.get("group_by"))
Saurabh0326f542013-06-13 19:17:56 +053018
Saurabh2b02f142013-06-21 10:46:26 +053019 columns = based_on_details["based_on_cols"] + period_cols + ["Total(Qty):Float:120", "Total(Amt):Currency:120"]
Saurabhf8f68c52013-06-20 18:52:31 +053020 if group_by_cols:
Saurabh2b02f142013-06-21 10:46:26 +053021 columns = based_on_details["based_on_cols"] + group_by_cols + period_cols + \
22 ["Total(Qty):Float:120", "Total(Amt):Currency:120"]
Saurabh0326f542013-06-13 19:17:56 +053023
Saurabh2b02f142013-06-21 10:46:26 +053024 conditions = {"based_on_select": based_on_details["based_on_select"], "period_wise_select": period_select,
Saurabh36cb3ca2013-06-21 16:25:28 +053025 "columns": columns, "group_by": based_on_details["based_on_group_by"], "grbc": group_by_cols, "trans": trans,
Saurabh2b02f142013-06-21 10:46:26 +053026 "addl_tables": based_on_details["addl_tables"]}
Saurabh0326f542013-06-13 19:17:56 +053027
Saurabhf8f68c52013-06-20 18:52:31 +053028 return conditions
Saurabh0326f542013-06-13 19:17:56 +053029
Nabin Haitb8ebbca2013-06-20 13:03:10 +053030def validate_filters(filters):
31 for f in ["Fiscal Year", "Based On", "Period", "Company"]:
32 if not filters.get(f.lower().replace(" ", "_")):
33 webnotes.msgprint(f + _(" is mandatory"), raise_exception=1)
Saurabh0326f542013-06-13 19:17:56 +053034
Nabin Haitb8ebbca2013-06-20 13:03:10 +053035 if filters.get("based_on") == filters.get("group_by"):
36 webnotes.msgprint("'Based On' and 'Group By' can not be same", raise_exception=1)
37
Saurabhf8f68c52013-06-20 18:52:31 +053038def get_data(filters, conditions):
Saurabh0326f542013-06-13 19:17:56 +053039 data = []
40 inc, cond= '',''
Saurabhf8f68c52013-06-20 18:52:31 +053041 query_details = conditions["based_on_select"] + conditions["period_wise_select"]
Saurabh0326f542013-06-13 19:17:56 +053042
Saurabhf8f68c52013-06-20 18:52:31 +053043 if conditions["based_on_select"] in ["t1.project_name,", "t2.project_name,"]:
44 cond = 'and '+ conditions["based_on_select"][:-1] +' IS Not NULL'
Saurabh0326f542013-06-13 19:17:56 +053045
46 if filters.get("group_by"):
47 sel_col = ''
Saurabhf8f68c52013-06-20 18:52:31 +053048 ind = conditions["columns"].index(conditions["grbc"][0])
Saurabh0326f542013-06-13 19:17:56 +053049
50 if filters.get("group_by") == 'Item':
51 sel_col = 't2.item_code'
Saurabh0326f542013-06-13 19:17:56 +053052 elif filters.get("group_by") == 'Customer':
53 sel_col = 't1.customer'
Saurabh0326f542013-06-13 19:17:56 +053054 elif filters.get("group_by") == 'Supplier':
55 sel_col = 't1.supplier'
56
57 if filters.get('based_on') in ['Item','Customer','Supplier']:
58 inc = 2
59 else :
60 inc = 1
Saurabhf8f68c52013-06-20 18:52:31 +053061 data1 = webnotes.conn.sql(""" select %s from `tab%s` t1, `tab%s Item` t2 %s
Saurabh36cb3ca2013-06-21 16:25:28 +053062 where t2.parent = t1.name and t1.company = %s and t1.fiscal_year = %s and
63 t1.docstatus = 1 %s
Saurabh5b6d03e2013-06-19 12:34:22 +053064 group by %s
Saurabh2b02f142013-06-21 10:46:26 +053065 """ % (query_details, conditions["trans"], conditions["trans"], conditions["addl_tables"], "%s",
Saurabhf8f68c52013-06-20 18:52:31 +053066 "%s", cond, conditions["group_by"]), (filters.get("company"),
67 filters["fiscal_year"]),as_list=1)
Saurabh0326f542013-06-13 19:17:56 +053068
69 for d in range(len(data1)):
70 #to add blanck column
71 dt = data1[d]
72 dt.insert(ind,'')
73 data.append(dt)
74
75 #to get distinct value of col specified by group_by in filter
Saurabhf8f68c52013-06-20 18:52:31 +053076 row = webnotes.conn.sql("""select DISTINCT(%s) from `tab%s` t1, `tab%s Item` t2 %s
Saurabh5b6d03e2013-06-19 12:34:22 +053077 where t2.parent = t1.name and t1.company = %s and t1.fiscal_year = %s
78 and t1.docstatus = 1 and %s = %s
Nabin Hait4555d3b2013-06-21 16:27:34 +053079 """ %
80 (sel_col, conditions["trans"], conditions["trans"], conditions["addl_tables"],
81 "%s", "%s", conditions["group_by"], "%s"),
82 (filters.get("company"), filters.get("fiscal_year"), data1[d][0]), as_list=1)
Saurabh1848b712013-06-14 15:03:45 +053083
Saurabh0326f542013-06-13 19:17:56 +053084 for i in range(len(row)):
Saurabhf8f68c52013-06-20 18:52:31 +053085 des = ['' for q in range(len(conditions["columns"]))]
Saurabh0326f542013-06-13 19:17:56 +053086
Saurabhaf5df662013-06-20 15:00:53 +053087 #get data for group_by filter
Saurabhf8f68c52013-06-20 18:52:31 +053088 row1 = webnotes.conn.sql(""" select %s , %s from `tab%s` t1, `tab%s Item` t2 %s
Saurabh5b6d03e2013-06-19 12:34:22 +053089 where t2.parent = t1.name and t1.company = %s and t1.fiscal_year = %s
90 and t1.docstatus = 1 and %s = %s and %s = %s
Nabin Hait4555d3b2013-06-21 16:27:34 +053091 """ %
92 (sel_col, conditions["period_wise_select"], conditions["trans"],
93 conditions["trans"], conditions["addl_tables"], "%s", "%s", sel_col,
94 "%s", conditions["group_by"], "%s"),
95 (filters.get("company"), filters.get("fiscal_year"), row[i][0],
96 data1[d][0]), as_list=1)
Saurabh0326f542013-06-13 19:17:56 +053097
98 des[ind] = row[i]
Saurabhf8f68c52013-06-20 18:52:31 +053099 for j in range(1,len(conditions["columns"])-inc):
Saurabh0326f542013-06-13 19:17:56 +0530100 des[j+inc] = row1[0][j]
Nabin Haitb8ebbca2013-06-20 13:03:10 +0530101
Saurabh0326f542013-06-13 19:17:56 +0530102 data.append(des)
103 else:
Saurabhf8f68c52013-06-20 18:52:31 +0530104 data = webnotes.conn.sql(""" select %s from `tab%s` t1, `tab%s Item` t2 %s
Saurabh36cb3ca2013-06-21 16:25:28 +0530105 where t2.parent = t1.name and t1.company = %s and t1.fiscal_year = %s and
106 t1.docstatus = 1 %s
Saurabh5b6d03e2013-06-19 12:34:22 +0530107 group by %s
Nabin Hait4555d3b2013-06-21 16:27:34 +0530108 """ %
109 (query_details, conditions["trans"], conditions["trans"], conditions["addl_tables"],
110 "%s", "%s", cond,conditions["group_by"]),
111 (filters.get("company"), filters.get("fiscal_year")), as_list=1)
Saurabh0326f542013-06-13 19:17:56 +0530112
113 return data
114
Nabin Haitb8ebbca2013-06-20 13:03:10 +0530115def get_mon(dt):
116 return getdate(dt).strftime("%b")
Saurabhd4f21992013-06-19 14:44:44 +0530117
Saurabh1848b712013-06-14 15:03:45 +0530118def period_wise_colums_query(filters, trans):
Saurabh0326f542013-06-13 19:17:56 +0530119 query_details = ''
Saurabh1848b712013-06-14 15:03:45 +0530120 pwc = []
Saurabhf8f68c52013-06-20 18:52:31 +0530121 bet_dates = get_period_date_ranges(filters.get("period"), filters.get("fiscal_year"))
Saurabh1848b712013-06-14 15:03:45 +0530122
Saurabh0326f542013-06-13 19:17:56 +0530123 if trans in ['Purchase Receipt', 'Delivery Note', 'Purchase Invoice', 'Sales Invoice']:
124 trans_date = 'posting_date'
125 else:
126 trans_date = 'transaction_date'
Saurabh0326f542013-06-13 19:17:56 +0530127
Saurabhf8f68c52013-06-20 18:52:31 +0530128 if filters.get("period") != 'Yearly':
129 for dt in bet_dates:
130 get_period_wise_columns(dt, filters.get("period"), pwc)
131 query_details = get_period_wise_query(dt, trans_date, query_details)
Saurabh0326f542013-06-13 19:17:56 +0530132 else:
Nabin Hait4555d3b2013-06-21 16:27:34 +0530133 pwc = [filters.get("fiscal_year") + " (Qty):Float:120",
134 filters.get("fiscal_year") + " (Amt):Currency:120"]
Saurabh0326f542013-06-13 19:17:56 +0530135 query_details = " SUM(t2.qty), SUM(t1.grand_total),"
136
Saurabh1848b712013-06-14 15:03:45 +0530137 query_details += 'SUM(t2.qty), SUM(t1.grand_total)'
Saurabh0326f542013-06-13 19:17:56 +0530138 return pwc, query_details
139
Saurabhf8f68c52013-06-20 18:52:31 +0530140def get_period_wise_columns(bet_dates, period, pwc):
141 if period == 'Monthly':
142 pwc += [get_mon(bet_dates[0]) + " (Qty):Float:120",
143 get_mon(bet_dates[0]) + " (Amt):Currency:120"]
144 else:
145 pwc += [get_mon(bet_dates[0]) + "-" + get_mon(bet_dates[1]) + " (Qty):Float:120",
146 get_mon(bet_dates[0]) + "-" + get_mon(bet_dates[1]) + " (Amt):Currency:120"]
147
148def get_period_wise_query(bet_dates, trans_date, query_details):
Saurabhf8f68c52013-06-20 18:52:31 +0530149 query_details += """SUM(IF(t1.%(trans_date)s BETWEEN '%(sd)s' AND '%(ed)s', t2.qty, NULL)),
150 SUM(IF(t1.%(trans_date)s BETWEEN '%(sd)s' AND '%(ed)s', t1.grand_total, NULL)),
Nabin Hait4555d3b2013-06-21 16:27:34 +0530151 """ % {"trans_date": trans_date, "sd": bet_dates[0],"ed": bet_dates[1]}
Nabin Haitb8ebbca2013-06-20 13:03:10 +0530152 return query_details
Saurabh0326f542013-06-13 19:17:56 +0530153
Saurabhf8f68c52013-06-20 18:52:31 +0530154def get_period_date_ranges(period, fiscal_year):
155 from dateutil.relativedelta import relativedelta
156
157 year_start_date = webnotes.conn.get_value("Fiscal Year", fiscal_year, "year_start_date")
158 increment = {
159 "Monthly": 1,
160 "Quarterly": 3,
161 "Half-Yearly": 6,
162 "Yearly": 12
163 }.get(period)
164
165 period_date_ranges = []
166 for i in xrange(1, 13, increment):
167 period_end_date = year_start_date + relativedelta(months=increment, days=-1)
168 period_date_ranges.append([year_start_date, period_end_date])
169 year_start_date = period_end_date + relativedelta(days=1)
170
171 return period_date_ranges
172
173def get_period_month_ranges(period, fiscal_year):
174 from dateutil.relativedelta import relativedelta
175 period_month_ranges = []
176
177 for start_date, end_date in get_period_date_ranges(period, fiscal_year):
178 months_in_this_period = []
179 while start_date <= end_date:
180 months_in_this_period.append(start_date.strftime("%B"))
181 start_date += relativedelta(months=1)
182 period_month_ranges.append(months_in_this_period)
183
184 return period_month_ranges
185
186def based_wise_colums_query(based_on, trans):
Saurabh2b02f142013-06-21 10:46:26 +0530187 based_on_details = {}
Saurabh0326f542013-06-13 19:17:56 +0530188
Saurabh2b02f142013-06-21 10:46:26 +0530189 # based_on_cols, based_on_select, based_on_group_by, addl_tables
Saurabh0326f542013-06-13 19:17:56 +0530190 if based_on == "Item":
Saurabh2b02f142013-06-21 10:46:26 +0530191 based_on_details["based_on_cols"] = ["Item:Link/Item:120", "Item Name:Data:120"]
192 based_on_details["based_on_select"] = "t2.item_code, t2.item_name,"
193 based_on_details["based_on_group_by"] = 't2.item_code'
194 based_on_details["addl_tables"] = ''
Saurabh0326f542013-06-13 19:17:56 +0530195
196 elif based_on == "Item Group":
Saurabh2b02f142013-06-21 10:46:26 +0530197 based_on_details["based_on_cols"] = ["Item Group:Link/Item Group:120"]
198 based_on_details["based_on_select"] = "t2.item_group,"
199 based_on_details["based_on_group_by"] = 't2.item_group'
200 based_on_details["addl_tables"] = ''
Saurabh0326f542013-06-13 19:17:56 +0530201
202 elif based_on == "Customer":
Saurabh2b02f142013-06-21 10:46:26 +0530203 based_on_details["based_on_cols"] = ["Customer:Link/Customer:120", "Territory:Link/Territory:120"]
204 based_on_details["based_on_select"] = "t1.customer_name, t1.territory, "
205 based_on_details["based_on_group_by"] = 't1.customer_name'
206 based_on_details["addl_tables"] = ''
Saurabh0326f542013-06-13 19:17:56 +0530207
208 elif based_on == "Customer Group":
Saurabh2b02f142013-06-21 10:46:26 +0530209 based_on_details["based_on_cols"] = ["Customer Group:Link/Customer Group"]
210 based_on_details["based_on_select"] = "t1.customer_group,"
211 based_on_details["based_on_group_by"] = 't1.customer_group'
212 based_on_details["addl_tables"] = ''
213
Saurabh0326f542013-06-13 19:17:56 +0530214 elif based_on == 'Supplier':
Saurabh2b02f142013-06-21 10:46:26 +0530215 based_on_details["based_on_cols"] = ["Supplier:Link/Supplier:120", "Supplier Type:Link/Supplier Type:140"]
216 based_on_details["based_on_select"] = "t1.supplier, t3.supplier_type,"
217 based_on_details["based_on_group_by"] = 't1.supplier'
218 based_on_details["addl_tables"] = ',`tabSupplier` t3'
Saurabh0326f542013-06-13 19:17:56 +0530219
220 elif based_on == 'Supplier Type':
Saurabh2b02f142013-06-21 10:46:26 +0530221 based_on_details["based_on_cols"] = ["Supplier Type:Link/Supplier Type:140"]
222 based_on_details["based_on_select"] = "t3.supplier_type,"
223 based_on_details["based_on_group_by"] = 't3.supplier_type'
224 based_on_details["addl_tables"] =',`tabSupplier` t3'
Saurabh0326f542013-06-13 19:17:56 +0530225
226 elif based_on == "Territory":
Saurabh2b02f142013-06-21 10:46:26 +0530227 based_on_details["based_on_cols"] = ["Territory:Link/Territory:120"]
228 based_on_details["based_on_select"] = "t1.territory,"
229 based_on_details["based_on_group_by"] = 't1.territory'
230 based_on_details["addl_tables"] = ''
Saurabh0326f542013-06-13 19:17:56 +0530231
232 elif based_on == "Project":
Saurabh0326f542013-06-13 19:17:56 +0530233 if trans in ['Sales Invoice', 'Delivery Note', 'Sales Order']:
Saurabh2b02f142013-06-21 10:46:26 +0530234 based_on_details["based_on_cols"] = ["Project:Link/Project:120"]
235 based_on_details["based_on_select"] = "t1.project_name,"
236 based_on_details["based_on_group_by"] = 't1.project_name'
237 based_on_details["addl_tables"] = ''
Saurabh0326f542013-06-13 19:17:56 +0530238 elif trans in ['Purchase Order', 'Purchase Invoice', 'Purchase Receipt']:
Saurabh2b02f142013-06-21 10:46:26 +0530239 based_on_details["based_on_cols"] = ["Project:Link/Project:120"]
240 based_on_details["based_on_select"] = "t2.project_name,"
241 based_on_details["based_on_group_by"] = 't2.project_name'
242 based_on_details["addl_tables"] = ''
Saurabh0326f542013-06-13 19:17:56 +0530243 else:
Nabin Haitb8ebbca2013-06-20 13:03:10 +0530244 webnotes.msgprint("Project-wise data is not available for Quotation", raise_exception=1)
Saurabh0326f542013-06-13 19:17:56 +0530245
Saurabh2b02f142013-06-21 10:46:26 +0530246 return based_on_details
Saurabh0326f542013-06-13 19:17:56 +0530247
Saurabh1848b712013-06-14 15:03:45 +0530248def group_wise_column(group_by):
Saurabh0326f542013-06-13 19:17:56 +0530249 if group_by:
250 return [group_by+":Link/"+group_by+":120"]
251 else:
252 return []