915b34391c
* chore: Added isort to pre-commit config * chore: Sort imports with isort * chore: Clean up imports with pycln * chore: Sort imports with isort * chore: Fix import issues * chore: Clean up sider issues * chore: Remove import errors from flake8 ignore list * chore: Clean up lint issues
64 lines
1.8 KiB
Python
64 lines
1.8 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (c) 2017, Frappe Technologies Pvt. Ltd. and contributors
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# For license information, please see license.txt
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from __future__ import unicode_literals
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import frappe
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from frappe import _
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def execute(filters=None):
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if not filters: filters = {}
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if not filters.get("date"):
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frappe.throw(_("Please select date"))
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columns = get_columns(filters)
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date = filters.get("date")
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data = []
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if not filters.get("shareholder"):
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pass
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else:
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transfers = get_all_transfers(date, filters.get("shareholder"))
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for transfer in transfers:
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if transfer.transfer_type == 'Transfer':
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if transfer.from_shareholder == filters.get("shareholder"):
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transfer.transfer_type += ' to {}'.format(transfer.to_shareholder)
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else:
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transfer.transfer_type += ' from {}'.format(transfer.from_shareholder)
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row = [filters.get("shareholder"), transfer.date, transfer.transfer_type,
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transfer.share_type, transfer.no_of_shares, transfer.rate, transfer.amount,
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transfer.company, transfer.name]
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data.append(row)
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return columns, data
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def get_columns(filters):
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columns = [
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_("Shareholder") + ":Link/Shareholder:150",
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_("Date") + ":Date:100",
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_("Transfer Type") + "::140",
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_("Share Type") + "::90",
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_("No of Shares") + "::90",
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_("Rate") + ":Currency:90",
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_("Amount") + ":Currency:90",
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_("Company") + "::150",
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_("Share Transfer") + ":Link/Share Transfer:90"
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]
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return columns
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def get_all_transfers(date, shareholder):
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condition = ' '
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# if company:
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# condition = 'AND company = %(company)s '
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return frappe.db.sql("""SELECT * FROM `tabShare Transfer`
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WHERE (DATE(date) <= %(date)s AND from_shareholder = %(shareholder)s {condition})
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OR (DATE(date) <= %(date)s AND to_shareholder = %(shareholder)s {condition})
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ORDER BY date""".format(condition=condition),
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{'date': date, 'shareholder': shareholder}, as_dict=1)
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