[company][dashboard] implement heatmap with linked doctypes (#14185)
* [company][dashboard] implement heatmap with linked doctypes * [company][dashboard] cache transaction history data, schedule query daily
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@ -2,8 +2,9 @@
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# License: GNU General Public License v3. See license.txt
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from __future__ import unicode_literals
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import frappe, os
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import frappe, os, json
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from frappe import _
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from frappe.utils import get_timestamp
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from frappe.utils import cint, today, formatdate
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import frappe.defaults
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@ -407,10 +408,18 @@ def update_company_monthly_sales(company):
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frappe.db.set_value("Company", company, "sales_monthly_history", json.dumps(month_to_value_dict))
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def update_transactions_annual_history(company, commit=False):
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transactions_history = get_all_transactions_annual_history(company)
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frappe.db.set_value("Company", company, "transactions_annual_history", json.dumps(transactions_history))
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if commit:
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frappe.db.commit()
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def cache_companies_monthly_sales_history():
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companies = [d['name'] for d in frappe.get_list("Company")]
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for company in companies:
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update_company_monthly_sales(company)
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update_transactions_annual_history(company)
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frappe.db.commit()
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@frappe.whitelist()
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@ -441,3 +450,73 @@ def add_node():
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args.parent_company = None
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frappe.get_doc(args).insert()
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def get_all_transactions_annual_history(company):
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out = {}
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items = frappe.db.sql('''
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select transaction_date, count(*) as count
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from (
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select name, transaction_date, company
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from `tabQuotation`
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UNION ALL
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select name, transaction_date, company
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from `tabSales Order`
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UNION ALL
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select name, posting_date as transaction_date, company
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from `tabDelivery Note`
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UNION ALL
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select name, posting_date as transaction_date, company
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from `tabSales Invoice`
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UNION ALL
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select name, creation as transaction_date, company
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from `tabIssue`
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UNION ALL
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select name, creation as transaction_date, company
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from `tabProject`
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) t
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where
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company=%s
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and
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transaction_date > date_sub(curdate(), interval 1 year)
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group by
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transaction_date
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''', (company), as_dict=True)
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for d in items:
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timestamp = get_timestamp(d["transaction_date"])
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out.update({ timestamp: d["count"] })
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return out
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def get_timeline_data(doctype, name):
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'''returns timeline data based on linked records in dashboard'''
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out = {}
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date_to_value_dict = {}
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history = frappe.db.get_value("Company", name, "transactions_annual_history")
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try:
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date_to_value_dict = json.loads(history) if history and '{' in history else None
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except ValueError:
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date_to_value_dict = None
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if date_to_value_dict is None:
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update_transactions_annual_history(name, True)
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history = frappe.db.get_value("Company", name, "transactions_annual_history")
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return json.loads(history) if history and '{' in history else {}
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return date_to_value_dict
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