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new sport and lottery report

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Ali 2025-08-19 12:55:32 +04:00
parent 537289c230
commit 8280774762
4 changed files with 229 additions and 0 deletions
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0
taxes_az/taxes_az/report/sport_and_lottery_report/__init__.py Normal file
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taxes_az/taxes_az/report/sport_and_lottery_report/sport_and_lottery_report.js Normal file
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frappe.query_reports["Sport and Lottery Report"] = {
"filters": [
{
"fieldname": "company",
"label": __("Company"),
"fieldtype": "Link",
"options": "Company",
"default": frappe.defaults.get_user_default("Company"),
"reqd": 1
},
{
"fieldname": "from_date",
"label": __("From Date"),
"fieldtype": "Date",
"default": frappe.datetime.add_months(frappe.datetime.get_today(), -1),
"reqd": 1
},
{
"fieldname": "to_date",
"label": __("To Date"),
"fieldtype": "Date",
"default": frappe.datetime.get_today(),
"reqd": 1
}
],
"columns": [
{
"label": __("Sales Invoice"),
"fieldname": "sales_invoice",
"fieldtype": "Link",
"options": "Sales Invoice",
"width": 200
},
{
"label": __("Posting Date"),
"fieldname": "posting_date",
"fieldtype": "Date",
"width": 120
},
{
"label": __("Grand Total"),
"fieldname": "grand_total",
"fieldtype": "Currency",
"options": "currency",
"width": 150
},
{
"label": __("Amount up to 500"),
"fieldname": "amount_up_to_500",
"fieldtype": "Currency",
"options": "currency",
"width": 180
},
{
"label": __("Amount over 500"),
"fieldname": "amount_over_500",
"fieldtype": "Currency",
"options": "currency",
"width": 180
}
],
"formatter": function(value, row, column, data, default_formatter) {
value = default_formatter(value, row, column, data);
if (column.fieldname === "amount_up_to_500" && data.amount_up_to_500 > 0) {
value = "<span style='color:green;'>" + value + "</span>";
} else if (column.fieldname === "amount_over_500" && data.amount_over_500 > 0) {
value = "<span style='color:red;'>" + value + "</span>";
}
return value;
}
};

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taxes_az/taxes_az/report/sport_and_lottery_report/sport_and_lottery_report.json Normal file
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{
"add_total_row": 0,
"columns": [],
"creation": "2025-08-18 17:55:54.332106",
"disabled": 0,
"docstatus": 0,
"doctype": "Report",
"filters": [],
"idx": 0,
"is_standard": "Yes",
"letterhead": null,
"modified": "2025-08-18 17:56:15.489704",
"modified_by": "Administrator",
"module": "Taxes Az",
"name": "Sport and Lottery Report",
"owner": "Administrator",
"prepared_report": 0,
"ref_doctype": "Sales Invoice",
"report_name": "Sport and Lottery Report",
"report_type": "Script Report",
"roles": [
{
"role": "Accounts User"
},
{
"role": "Accounts Manager"
},
{
"role": "Employee Self Service"
}
],
"timeout": 0
}

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taxes_az/taxes_az/report/sport_and_lottery_report/sport_and_lottery_report.py Normal file
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import frappe
from frappe import _
def execute(filters=None):
columns, data = [], []
columns = get_columns()
data = get_data(filters)
return columns, data
def get_columns():
"""Defines the columns for the report."""
return [
{
"label": _("Sales Invoice"),
"fieldname": "sales_invoice",
"fieldtype": "Link",
"options": "Sales Invoice",
"width": 200
},
{
"label": _("Posting Date"),
"fieldname": "posting_date",
"fieldtype": "Date",
"width": 120
},
{
"label": _("Grand Total"),
"fieldname": "grand_total",
"fieldtype": "Currency",
"options": "currency",
"width": 150
},
{
"label": _("Amount up to 500"),
"fieldname": "amount_up_to_500",
"fieldtype": "Currency",
"options": "currency",
"width": 180
},
{
"label": _("Amount over 500"),
"fieldname": "amount_over_500",
"fieldtype": "Currency",
"options": "currency",
"width": 180
},
{
"label": _("Currency"),
"fieldname": "currency",
"fieldtype": "Link",
"options": "Currency",
"hidden": 1
}
]
def get_data(filters):
"""Fetches and processes the report data."""
conditions = get_conditions(filters)
# The item groups to filter by
target_item_groups = ["İdman və mərc oyunları", "Lotoreya oyunları"]
# Fetching the data using Frappe's Query Builder
si = frappe.qb.DocType("Sales Invoice")
sii = frappe.qb.DocType("Sales Invoice Item")
item = frappe.qb.DocType("Item")
query = (
frappe.qb.from_(si)
.inner_join(sii)
.on(si.name == sii.parent)
.inner_join(item)
.on(sii.item_code == item.name)
.select(
si.name.as_("sales_invoice"),
si.posting_date,
si.grand_total,
si.currency,
sii.amount
)
.where(
(si.docstatus == 1) &
(item.item_group.isin(target_item_groups)) &
(si.company == filters.get("company")) &
(si.posting_date.between(filters.get("from_date"), filters.get("to_date")))
)
)
# Execute the query
invoice_items = query.run(as_dict=True)
# Process the data to aggregate amounts per invoice
processed_data = {}
for item in invoice_items:
doc_name = item.sales_invoice
if doc_name not in processed_data:
processed_data[doc_name] = {
"sales_invoice": doc_name,
"posting_date": item.posting_date,
"grand_total": item.grand_total,
"currency": item.currency,
"amount_up_to_500": 0,
"amount_over_500": 0,
}
# Distribute the item amount into the correct bucket
if item.amount <= 500:
processed_data[doc_name]["amount_up_to_500"] += item.amount
else:
processed_data[doc_name]["amount_over_500"] += item.amount
# Return the processed data as a list of dictionaries
return list(processed_data.values())
def get_conditions(filters):
"""Builds SQL conditions from filters."""
conditions = ""
if filters.get("company"):
conditions += f" AND si.company = '{filters.get('company')}'"
if filters.get("from_date"):
conditions += f" AND si.posting_date >= '{filters.get('from_date')}'"
if filters.get("to_date"):
conditions += f" AND si.posting_date <= '{filters.get('to_date')}'"
return conditions