130 lines
3.5 KiB
Python
130 lines
3.5 KiB
Python
# Copyright (c) 2020, Frappe Technologies Pvt. Ltd. and Contributors
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# License: GNU General Public License v3. See license.txt
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import frappe
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import json
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def get_data():
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return frappe._dict({
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"dashboards": get_dashboards(),
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"charts": get_charts(),
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"number_cards": get_number_cards(),
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})
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def get_company_for_dashboards():
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company = frappe.defaults.get_defaults().company
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if company:
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return company
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else:
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company_list = frappe.get_list("Company")
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if company_list:
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return company_list[0].name
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return None
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company = frappe.get_doc("Company", get_company_for_dashboards())
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def get_dashboards():
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return [{
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"name": "Buying",
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"dashboard_name": "Buying",
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"charts": [
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{ "chart": "Purchase Analytics", "width": "Full"},
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{ "chart": "Material Request Purchase Analysis", "width": "Half"},
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{ "chart": "Purchase Order Analysis", "width": "Half"},
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{ "chart": "Requested Items to Order", "width": "Full"}
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]
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}]
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def get_charts():
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return [
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{
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"name": "Purchase Analytics",
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"doctype": "Dashboard Chart",
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"owner": "Administrator",
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"report_name": "Purchase Analytics",
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"filters_json": json.dumps({
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"tree_type": "Item",
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"doc_type": "Purchase Receipt",
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"value_quantity": "Value",
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"from_date": "2020-03-01",
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"to_date": "2020-07-31",
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"company": company.name,
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"range": "Weekly"
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}),
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"x_field": "entity",
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"type": "Bar",
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'timeseries': 0,
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"chart_type": "Report",
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"chart_name": "Purchase Analytics",
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"custom_options": json.dumps({
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"x_field": "entity",
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"chart_type": "Bar",
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"y_axis_fields": [{"idx": 1, "__islocal": "true", "y_field": "total"}],
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"y_fields": ["total"]
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})
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},
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{
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"name": "Material Request Purchase Analysis",
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"doctype": "Dashboard Chart",
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"owner": "Administrator",
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"document_type": "Material Request",
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"filters_json": '[["Material Request","status","not in",["Draft","Cancelled","Stopped",null],false],["Material Request","material_request_type","=","Purchase",false],["Material Request","company","=", "{company}", false]]'.format(company=company.name),
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"is_custom": 0,
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"type": "Donut",
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"timeseries": 0,
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"chart_type": "Group By",
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"group_by_based_on": "status",
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"chart_name": "Material Request Purchase Analysis",
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"group_by_type": "Count",
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"custom_options": json.dumps({"height": 300})
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},
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{
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"name": "Purchase Order Analysis",
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"doctype": "Dashboard Chart",
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"owner": "Administrator",
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"report_name": "Purchase Order Analysis",
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"filters_json": json.dumps({
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"company": company.name,
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"from_date": "2020-04-04",
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"to_date": "2020-07-04",
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"chart_based_on": "Quantity"
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}),
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"is_custom": 1,
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"type": "Donut",
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"timeseries": 0,
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"chart_type": "Report",
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"chart_name": "Purchase Order Analysis",
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"custom_options": json.dumps({
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"type": "donut",
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"height": 300,
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"axisOptions": {"shortenYAxisNumbers": 1}
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})
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},
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{
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"name": "Requested Items to Order",
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"doctype": "Dashboard Chart",
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"owner": "Administrator",
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"report_name": "Requested Items to Order",
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"filters_json": json.dumps({
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"company": company.name,
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"from_date": "2020-04-01",
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"to_date": "2020-07-01",
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"group_by_mr": 0
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}),
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"is_custom": 1,
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"type": "Bar",
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"timeseries": 0,
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"chart_type": "Report",
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"chart_name": "Requested Items to Order",
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"custom_options": json.dumps({
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"type": "bar",
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"barOptions": {"stacked": 1},
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"axisOptions": {"shortenYAxisNumbers": 1}
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})
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}
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]
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def get_number_cards():
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return [{}] |