feat: order type in trr type filter
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41721fe1c3
commit
42fe68d065
@ -8,7 +8,7 @@ frappe.query_reports["Sales Analytics"] = {
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fieldname: "tree_type",
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label: __("Tree Type"),
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fieldtype: "Select",
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options: ["Customer Group","Customer","Item Group","Item","Territory"],
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options: ["Customer Group","Customer","Item Group","Item","Territory","Order Type"],
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default: "Customer",
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reqd: 1
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},
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@ -23,15 +23,15 @@ class Analytics(object):
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self.get_columns()
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self.get_data()
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self.get_chart_data()
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return self.columns, self.data , None, self.chart
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return self.columns, self.data, None, self.chart
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def get_columns(self):
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self.columns =[{
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self.columns = [{
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"label": _(self.filters.tree_type + " ID"),
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"options": self.filters.tree_type,
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"options": self.filters.tree_type if self.filters.tree_type != "Order Type" else "",
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"fieldname": "entity",
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"fieldtype": "Link",
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"width": 140
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"fieldtype": "Link" if self.filters.tree_type != "Order Type" else "Data",
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"width": 140 if self.filters.tree_type != "Order Type" else 200
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}]
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if self.filters.tree_type in ["Customer", "Supplier", "Item"]:
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self.columns.append({
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@ -73,6 +73,28 @@ class Analytics(object):
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self.get_sales_transactions_based_on_item_group()
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self.get_rows_by_group()
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elif self.filters.tree_type == "Order Type":
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if self.filters.doc_type != "Sales Order":
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self.data = []
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return
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self.get_sales_transactions_based_on_order_type()
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self.get_rows_by_group()
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def get_sales_transactions_based_on_order_type(self):
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if self.filters["value_quantity"] == 'Value':
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value_field = "base_net_total"
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else:
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value_field = "total_qty"
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self.entries = frappe.db.sql(""" select s.order_type as entity, s.{value_field} as value_field, s.{date_field}
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from `tab{doctype}` s where s.docstatus = 1 and s.company = %s and s.{date_field} between %s and %s
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and ifnull(s.order_type, '') != '' order by s.order_type
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"""
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.format(date_field=self.date_field, value_field=value_field, doctype=self.filters.doc_type),
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(self.filters.company, self.filters.from_date, self.filters.to_date), as_dict=1)
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self.get_teams()
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def get_sales_transactions_based_on_customers_or_suppliers(self):
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if self.filters["value_quantity"] == 'Value':
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value_field = "base_net_total as value_field"
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@ -88,7 +110,7 @@ class Analytics(object):
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self.entries = frappe.get_all(self.filters.doc_type,
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fields=[entity, entity_name, value_field, self.date_field],
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filters = {
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filters={
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"docstatus": 1,
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"company": self.filters.company,
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self.date_field: ('between', [self.filters.from_date, self.filters.to_date])
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@ -112,7 +134,7 @@ class Analytics(object):
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where s.name = i.parent and i.docstatus = 1 and s.company = %s
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and s.{date_field} between %s and %s
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"""
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.format(date_field=self.date_field, value_field = value_field, doctype=self.filters.doc_type),
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.format(date_field=self.date_field, value_field=value_field, doctype=self.filters.doc_type),
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(self.filters.company, self.filters.from_date, self.filters.to_date), as_dict=1)
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self.entity_names = {}
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@ -135,7 +157,7 @@ class Analytics(object):
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self.entries = frappe.get_all(self.filters.doc_type,
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fields=[entity_field, value_field, self.date_field],
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filters = {
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filters={
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"docstatus": 1,
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"company": self.filters.company,
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self.date_field: ('between', [self.filters.from_date, self.filters.to_date])
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@ -154,13 +176,13 @@ class Analytics(object):
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from `tab{doctype} Item` i , `tab{doctype}` s
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where s.name = i.parent and i.docstatus = 1 and s.company = %s
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and s.{date_field} between %s and %s
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""".format(date_field=self.date_field, value_field = value_field, doctype=self.filters.doc_type),
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""".format(date_field=self.date_field, value_field=value_field, doctype=self.filters.doc_type),
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(self.filters.company, self.filters.from_date, self.filters.to_date), as_dict=1)
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self.get_groups()
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def get_rows(self):
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self.data=[]
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self.data = []
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self.get_periodic_data()
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for entity, period_data in iteritems(self.entity_periodic_data):
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@ -192,7 +214,7 @@ class Analytics(object):
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period = self.get_period(end_date)
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amount = flt(self.entity_periodic_data.get(d.name, {}).get(period, 0.0))
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row[scrub(period)] = amount
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if d.parent:
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if d.parent and (self.filters.tree_type != "Order Type" or d.parent == "Order Types"):
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self.entity_periodic_data.setdefault(d.parent, frappe._dict()).setdefault(period, 0.0)
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self.entity_periodic_data[d.parent][period] += amount
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total += amount
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@ -216,7 +238,7 @@ class Analytics(object):
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elif self.filters.range == 'Monthly':
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period = str(self.months[posting_date.month - 1]) + " " + str(posting_date.year)
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elif self.filters.range == 'Quarterly':
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period = "Quarter " + str(((posting_date.month-1)//3)+1) +" " + str(posting_date.year)
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period = "Quarter " + str(((posting_date.month - 1) // 3) + 1) + " " + str(posting_date.year)
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else:
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year = get_fiscal_year(posting_date, company=self.filters.company)
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period = str(year[0])
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@ -234,7 +256,7 @@ class Analytics(object):
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}.get(self.filters.range, 1)
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if self.filters.range in ['Monthly', 'Quarterly']:
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from_date = from_date.replace(day = 1)
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from_date = from_date.replace(day=1)
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elif self.filters.range == "Yearly":
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from_date = get_fiscal_year(from_date)[1]
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else:
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@ -270,7 +292,22 @@ class Analytics(object):
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self.group_entries = frappe.db.sql("""select name, lft, rgt , {parent} as parent
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from `tab{tree}` order by lft"""
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.format(tree=self.filters.tree_type, parent=parent), as_dict=1)
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.format(tree=self.filters.tree_type, parent=parent), as_dict=1)
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for d in self.group_entries:
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if d.parent:
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self.depth_map.setdefault(d.name, self.depth_map.get(d.parent) + 1)
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else:
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self.depth_map.setdefault(d.name, 0)
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def get_teams(self):
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self.depth_map = frappe._dict()
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self.group_entries = frappe.db.sql(""" select * from (select "Order Types" as name, 0 as lft,
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2 as rgt, '' as parent union select distinct order_type as name, 1 as lft, 1 as rgt, "Order Types" as parent
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from `tab{doctype}` where ifnull(order_type, '') != '') as b order by lft, name
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"""
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.format(doctype=self.filters.doc_type), as_dict=1)
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for d in self.group_entries:
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if d.parent:
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@ -285,13 +322,13 @@ class Analytics(object):
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length = len(self.columns)
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if self.filters.tree_type in ["Customer", "Supplier", "Item"]:
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labels = [d.get("label") for d in self.columns[2:length-1]]
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labels = [d.get("label") for d in self.columns[2:length - 1]]
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else:
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labels = [d.get("label") for d in self.columns[1:length-1]]
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labels = [d.get("label") for d in self.columns[1:length - 1]]
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self.chart = {
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"data": {
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'labels': labels,
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'datasets':[]
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'datasets': []
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},
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"type": "line"
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}
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}
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