Merge pull request #23076 from deepeshgarg007/hsn_wise_outward_v13

fix: Tax amounts in HSN Wise Outward summary
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Deepesh Garg 2020-08-19 11:43:14 +05:30 committed by GitHub
commit 1fb1c08872
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@ -7,6 +7,8 @@ from frappe import _
from frappe.utils import flt
from frappe.model.meta import get_field_precision
from frappe.utils.xlsxutils import handle_html
from six import iteritems
import json
def execute(filters=None):
return _execute(filters)
@ -21,21 +23,24 @@ def _execute(filters=None):
itemised_tax, tax_columns = get_tax_accounts(item_list, columns, company_currency)
data = []
added_item = []
for d in item_list:
if (d.parent, d.item_code) not in added_item:
row = [d.gst_hsn_code, d.description, d.stock_uom, d.stock_qty]
total_tax = 0
for tax in tax_columns:
item_tax = itemised_tax.get(d.name, {}).get(tax, {})
total_tax += flt(item_tax.get("tax_amount"))
item_tax = itemised_tax.get((d.parent, d.item_code), {}).get(tax, {})
total_tax += flt(item_tax.get("tax_amount", 0))
row += [d.base_net_amount + total_tax]
row += [d.base_net_amount]
for tax in tax_columns:
item_tax = itemised_tax.get(d.name, {}).get(tax, {})
item_tax = itemised_tax.get((d.parent, d.item_code), {}).get(tax, {})
row += [item_tax.get("tax_amount", 0)]
data.append(row)
added_item.append((d.parent, d.item_code))
if data:
data = get_merged_data(columns, data) # merge same hsn code data
return columns, data
@ -103,7 +108,7 @@ def get_items(filters):
match_conditions = " and {0} ".format(match_conditions)
return frappe.db.sql("""
items = frappe.db.sql("""
select
`tabSales Invoice Item`.name, `tabSales Invoice Item`.base_price_list_rate,
`tabSales Invoice Item`.gst_hsn_code, `tabSales Invoice Item`.stock_qty,
@ -118,10 +123,9 @@ def get_items(filters):
""" % (conditions, match_conditions), filters, as_dict=1)
return items
def get_tax_accounts(item_list, columns, company_currency,
doctype="Sales Invoice", tax_doctype="Sales Taxes and Charges"):
import json
def get_tax_accounts(item_list, columns, company_currency, doctype="Sales Invoice", tax_doctype="Sales Taxes and Charges"):
item_row_map = {}
tax_columns = []
invoice_item_row = {}
@ -171,7 +175,7 @@ def get_tax_accounts(item_list, columns, company_currency,
for d in item_row_map.get(parent, {}).get(item_code, []):
item_tax_amount = tax_amount
if item_tax_amount:
itemised_tax.setdefault(d.name, {})[description] = frappe._dict({
itemised_tax.setdefault((parent, item_code), {})[description] = frappe._dict({
"tax_amount": flt(item_tax_amount, tax_amount_precision)
})
except ValueError:
@ -179,42 +183,32 @@ def get_tax_accounts(item_list, columns, company_currency,
tax_columns.sort()
for desc in tax_columns:
columns.append(desc + " Amount:Currency/currency:160")
columns.append({
"label": desc,
"fieldname": frappe.scrub(desc),
"fieldtype": "Float",
"width": 110
})
# columns += ["Total Amount:Currency/currency:110"]
return itemised_tax, tax_columns
def get_merged_data(columns, data):
merged_hsn_dict = {} # to group same hsn under one key and perform row addition
add_column_index = [] # store index of columns that needs to be added
tax_col = len(get_columns())
fields_to_merge = ["stock_qty", "total_amount", "taxable_amount"] # columns for which index needs to be found
for i,d in enumerate(columns):
# check if fieldname in to_merge list and ignore tax-columns
if i < tax_col and d["fieldname"] in fields_to_merge:
add_column_index.append(i)
result = []
for row in data:
if row[0] in merged_hsn_dict:
to_add_row = merged_hsn_dict.get(row[0])
# add columns from the add_column_index table
for k in add_column_index:
to_add_row[k] += row[k]
# add tax columns
for k in range(len(columns)):
if tax_col <= k < len(columns):
to_add_row[k] += row[k]
# update hsn dict with the newly added data
merged_hsn_dict[row[0]] = to_add_row
merged_hsn_dict.setdefault(row[0], {})
for i, d in enumerate(columns):
if d['fieldtype'] not in ('Int', 'Float', 'Currency'):
merged_hsn_dict[row[0]][d['fieldname']] = row[i]
else:
merged_hsn_dict[row[0]] = row
if merged_hsn_dict.get(row[0], {}).get(d['fieldname'], ''):
merged_hsn_dict[row[0]][d['fieldname']] += row[i]
else:
merged_hsn_dict[row[0]][d['fieldname']] = row[i]
# extract data rows to be displayed in report
data = [merged_hsn_dict[d] for d in merged_hsn_dict]
for key, value in iteritems(merged_hsn_dict):
result.append(value)
return data
return result