Merge pull request #25797 from marination/item-variants-report

fix: Item Variant Details Report
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Marica 2021-05-22 19:05:54 +05:30 committed by GitHub
commit eaf0465c44
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@ -14,47 +14,58 @@ def get_data(item):
if not item:
return []
item_dicts = []
variants = None
variant_results = frappe.db.sql("""select name from `tabItem`
where variant_of = %s""", item, as_dict=1)
variant_results = frappe.db.get_all(
"Item",
fields=["name"],
filters={
"variant_of": ["=", item],
"disabled": 0
}
)
if not variant_results:
frappe.msgprint(_("There isn't any item variant for the selected item"))
frappe.msgprint(_("There aren't any item variants for the selected item"))
return []
else:
variants = ", ".join([frappe.db.escape(variant['name']) for variant in variant_results])
variant_list = [variant['name'] for variant in variant_results]
order_count_map = get_open_sales_orders_map(variants)
stock_details_map = get_stock_details_map(variants)
buying_price_map = get_buying_price_map(variants)
selling_price_map = get_selling_price_map(variants)
attr_val_map = get_attribute_values_map(variants)
order_count_map = get_open_sales_orders_count(variant_list)
stock_details_map = get_stock_details_map(variant_list)
buying_price_map = get_buying_price_map(variant_list)
selling_price_map = get_selling_price_map(variant_list)
attr_val_map = get_attribute_values_map(variant_list)
attribute_list = [d[0] for d in frappe.db.sql("""select attribute
from `tabItem Variant Attribute`
where parent in ({variants}) group by attribute""".format(variants=variants))]
attributes = frappe.db.get_all(
"Item Variant Attribute",
fields=["attribute"],
filters={
"parent": ["in", variant_list]
},
group_by="attribute"
)
attribute_list = [row.get("attribute") for row in attributes]
# Prepare dicts
variant_dicts = [{"variant_name": d['name']} for d in variant_results]
for item_dict in variant_dicts:
name = item_dict["variant_name"]
name = item_dict.get("variant_name")
for d in attribute_list:
attr_dict = attr_val_map[name]
if attr_dict and attr_dict.get(d):
item_dict[d] = attr_val_map[name][d]
for attribute in attribute_list:
attr_dict = attr_val_map.get(name)
if attr_dict and attr_dict.get(attribute):
item_dict[frappe.scrub(attribute)] = attr_val_map.get(name).get(attribute)
item_dict["Open Orders"] = order_count_map.get(name) or 0
item_dict["open_orders"] = order_count_map.get(name) or 0
if stock_details_map.get(name):
item_dict["Inventory"] = stock_details_map.get(name)["Inventory"] or 0
item_dict["In Production"] = stock_details_map.get(name)["In Production"] or 0
item_dict["Available Selling"] = stock_details_map.get(name)["Available Selling"] or 0
item_dict["current_stock"] = stock_details_map.get(name)["Inventory"] or 0
item_dict["in_production"] = stock_details_map.get(name)["In Production"] or 0
else:
item_dict["Inventory"] = item_dict["In Production"] = item_dict["Available Selling"] = 0
item_dict["current_stock"] = item_dict["in_production"] = 0
item_dict["Avg. Buying Price List Rate"] = buying_price_map.get(name) or 0
item_dict["Avg. Selling Price List Rate"] = selling_price_map.get(name) or 0
item_dict["avg_buying_price_list_rate"] = buying_price_map.get(name) or 0
item_dict["avg_selling_price_list_rate"] = selling_price_map.get(name) or 0
item_dicts.append(item_dict)
@ -71,117 +82,158 @@ def get_columns(item):
item_doc = frappe.get_doc("Item", item)
for d in item_doc.attributes:
columns.append(d.attribute + ":Data:100")
for entry in item_doc.attributes:
columns.append({
"fieldname": frappe.scrub(entry.attribute),
"label": entry.attribute,
"fieldtype": "Data",
"width": 100
})
columns += [_("Avg. Buying Price List Rate") + ":Currency:110", _("Avg. Selling Price List Rate") + ":Currency:110",
_("Inventory") + ":Float:100", _("In Production") + ":Float:100",
_("Open Orders") + ":Float:100", _("Available Selling") + ":Float:100"
additional_columns = [
{
"fieldname": "avg_buying_price_list_rate",
"label": _("Avg. Buying Price List Rate"),
"fieldtype": "Currency",
"width": 150
},
{
"fieldname": "avg_selling_price_list_rate",
"label": _("Avg. Selling Price List Rate"),
"fieldtype": "Currency",
"width": 150
},
{
"fieldname": "current_stock",
"label": _("Current Stock"),
"fieldtype": "Float",
"width": 120
},
{
"fieldname": "in_production",
"label": _("In Production"),
"fieldtype": "Float",
"width": 150
},
{
"fieldname": "open_orders",
"label": _("Open Sales Orders"),
"fieldtype": "Float",
"width": 150
}
]
columns.extend(additional_columns)
return columns
def get_open_sales_orders_map(variants):
open_sales_orders = frappe.db.sql("""
select
count(*) as count,
item_code
from
`tabSales Order Item`
where
docstatus = 1 and
qty > ifnull(delivered_qty, 0) and
item_code in ({variants})
group by
item_code
""".format(variants=variants), as_dict=1)
def get_open_sales_orders_count(variants_list):
open_sales_orders = frappe.db.get_list(
"Sales Order",
fields=[
"name",
"`tabSales Order Item`.item_code"
],
filters=[
["Sales Order", "docstatus", "=", 1],
["Sales Order Item", "item_code", "in", variants_list]
],
distinct=1
)
order_count_map = {}
for d in open_sales_orders:
order_count_map[d["item_code"]] = d["count"]
for row in open_sales_orders:
item_code = row.get("item_code")
if order_count_map.get(item_code) is None:
order_count_map[item_code] = 1
else:
order_count_map[item_code] += 1
return order_count_map
def get_stock_details_map(variants):
stock_details = frappe.db.sql("""
select
sum(planned_qty) as planned_qty,
sum(actual_qty) as actual_qty,
sum(projected_qty) as projected_qty,
item_code
from
`tabBin`
where
item_code in ({variants})
group by
item_code
""".format(variants=variants), as_dict=1)
def get_stock_details_map(variant_list):
stock_details = frappe.db.get_all(
"Bin",
fields=[
"sum(planned_qty) as planned_qty",
"sum(actual_qty) as actual_qty",
"sum(projected_qty) as projected_qty",
"item_code",
],
filters={
"item_code": ["in", variant_list]
},
group_by="item_code"
)
stock_details_map = {}
for d in stock_details:
name = d["item_code"]
for row in stock_details:
name = row.get("item_code")
stock_details_map[name] = {
"Inventory" :d["actual_qty"],
"In Production" :d["planned_qty"],
"Available Selling" :d["projected_qty"]
"Inventory": row.get("actual_qty"),
"In Production": row.get("planned_qty")
}
return stock_details_map
def get_buying_price_map(variants):
buying = frappe.db.sql("""
select
avg(price_list_rate) as avg_rate,
item_code
from
`tabItem Price`
where
item_code in ({variants}) and buying=1
group by
item_code
""".format(variants=variants), as_dict=1)
def get_buying_price_map(variant_list):
buying = frappe.db.get_all(
"Item Price",
fields=[
"avg(price_list_rate) as avg_rate",
"item_code",
],
filters={
"item_code": ["in", variant_list],
"buying": 1
},
group_by="item_code"
)
buying_price_map = {}
for d in buying:
buying_price_map[d["item_code"]] = d["avg_rate"]
for row in buying:
buying_price_map[row.get("item_code")] = row.get("avg_rate")
return buying_price_map
def get_selling_price_map(variants):
selling = frappe.db.sql("""
select
avg(price_list_rate) as avg_rate,
item_code
from
`tabItem Price`
where
item_code in ({variants}) and selling=1
group by
item_code
""".format(variants=variants), as_dict=1)
def get_selling_price_map(variant_list):
selling = frappe.db.get_all(
"Item Price",
fields=[
"avg(price_list_rate) as avg_rate",
"item_code",
],
filters={
"item_code": ["in", variant_list],
"selling": 1
},
group_by="item_code"
)
selling_price_map = {}
for d in selling:
selling_price_map[d["item_code"]] = d["avg_rate"]
for row in selling:
selling_price_map[row.get("item_code")] = row.get("avg_rate")
return selling_price_map
def get_attribute_values_map(variants):
list_attr = frappe.db.sql("""
select
attribute, attribute_value, parent
from
`tabItem Variant Attribute`
where
parent in ({variants})
""".format(variants=variants), as_dict=1)
def get_attribute_values_map(variant_list):
attribute_list = frappe.db.get_all(
"Item Variant Attribute",
fields=[
"attribute",
"attribute_value",
"parent"
],
filters={
"parent": ["in", variant_list]
}
)
attr_val_map = {}
for d in list_attr:
name = d["parent"]
for row in attribute_list:
name = row.get("parent")
if not attr_val_map.get(name):
attr_val_map[name] = {}
attr_val_map[name][d["attribute"]] = d["attribute_value"]
attr_val_map[name][row.get("attribute")] = row.get("attribute_value")
return attr_val_map