Production Analytics Query Report (#15673)
* Production Analytics Query Report * Changes in production analytics report * Updated json file and other changes
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deepeshgarg007
Nabin Hait
parent
25e9db5e81
commit
25edac451d
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// Copyright (c) 2016, Frappe Technologies Pvt. Ltd. and contributors
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// For license information, please see license.txt
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/* eslint-disable */
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frappe.query_reports["Production Analytics"] = {
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"filters": [
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{
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fieldname: "company",
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label: __("Company"),
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fieldtype: "Link",
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options: "Company",
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default: frappe.defaults.get_user_default("Company"),
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reqd: 1
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},
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{
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fieldname: "from_date",
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label: __("From Date"),
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fieldtype: "Date",
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default: frappe.defaults.get_user_default("year_start_date"),
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reqd: 1
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},
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{
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fieldname:"to_date",
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label: __("To Date"),
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fieldtype: "Date",
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default: frappe.defaults.get_user_default("year_end_date"),
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reqd: 1
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},
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{
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fieldname: "range",
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label: __("Range"),
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fieldtype: "Select",
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options: [
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{ "value": "Weekly", "label": __("Weekly") },
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{ "value": "Monthly", "label": __("Monthly") },
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{ "value": "Quarterly", "label": __("Quarterly") },
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{ "value": "Yearly", "label": __("Yearly") }
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],
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default: "Monthly",
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reqd: 1
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}
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],
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"formatter": function(value, row, column, data) {
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return value;
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}
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}
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{
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"add_total_row": 0,
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"creation": "2018-10-11 19:28:37.085066",
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"disabled": 0,
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"docstatus": 0,
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"doctype": "Report",
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"idx": 0,
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"is_standard": "Yes",
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"letter_head": "",
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"modified": "2018-10-11 19:28:37.085066",
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"modified_by": "Administrator",
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"module": "Manufacturing",
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"name": "Production Analytics",
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"owner": "Administrator",
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"prepared_report": 0,
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"ref_doctype": "Work Order",
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"report_name": "Production Analytics",
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"report_type": "Script Report",
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"roles": [
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{
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"role": "Manufacturing User"
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},
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{
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"role": "Stock User"
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}
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]
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}
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# Copyright (c) 2013, 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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from frappe.utils import getdate
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from erpnext.selling.report.sales_analytics.sales_analytics import (get_period_date_ranges,get_period)
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def execute(filters=None):
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columns = get_columns(filters)
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data, chart = get_data(filters,columns)
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return columns, data,None ,chart
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def get_columns(filters):
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columns =[
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{
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"label": _("Status"),
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"fieldname": "Status",
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"fieldtype": "Data",
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"width": 140
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}]
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ranges = get_period_date_ranges(period=filters["range"], year_start_date = filters["from_date"],year_end_date=filters["to_date"])
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for dummy, end_date in ranges:
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label = field_name = get_period(end_date,filters["range"])
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columns.append(
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{
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"label": _(label),
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"field_name":field_name,
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"fieldtype": "Float",
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"width": 120
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},
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)
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return columns
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def get_data_list(filters,entry):
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data_list = {
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"All Work Orders" : {},
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"Not Started" : {},
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"Overdue" : {},
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"Pending" : {},
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"Completed" : {}
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}
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ranges = get_period_date_ranges(period=filters["range"], year_start_date = filters["from_date"],year_end_date=filters["to_date"])
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for from_date,end_date in ranges:
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period = get_period(end_date,filters["range"])
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for d in entry:
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if getdate(d.creation) <= getdate(from_date) or getdate(d.creation) <= getdate(end_date) :
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data_list = update_data_list(data_list,"All Work Orders",period)
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if d.status == 'Completed':
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if getdate(d.actual_end_date) < getdate(from_date) or getdate(d.modified) < getdate(from_date):
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data_list = update_data_list(data_list, "Completed",period)
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elif getdate(d.actual_start_date) < getdate(from_date) :
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data_list = update_data_list(data_list, "Pending", period)
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elif getdate(d.planned_start_date) < getdate(from_date) :
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data_list = update_data_list(data_list, "Overdue", period)
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else:
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data_list = update_data_list(data_list, "Not Started", period)
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elif d.status == 'In Process':
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if getdate(d.actual_start_date) < getdate(from_date) :
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data_list = update_data_list(data_list, "Pending", period)
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elif getdate(d.planned_start_date) < getdate(from_date) :
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data_list = update_data_list(data_list, "Overdue", period)
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else:
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data_list = update_data_list(data_list, "Not Started", period)
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elif d.status == 'Not Started':
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if getdate(d.planned_start_date) < getdate(from_date) :
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data_list = update_data_list(data_list, "Overdue", period)
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else:
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data_list = update_data_list(data_list, "Not Started", period)
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return data_list
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def update_data_list(data_list, status, period):
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if data_list.get(status).get(period):
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data_list[status][period] += 1
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else:
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data_list[status][period] = 1
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return data_list
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def get_data(filters,columns):
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data = []
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entry = frappe.get_all("Work Order",
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fields=["creation", "modified", "actual_start_date", "actual_end_date", "planned_start_date", "planned_end_date", "status"],
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filters={"docstatus" : 1, "company" : filters["company"] })
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data_list = get_data_list(filters,entry)
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labels = ["All Work Orders", "Not Started", "Overdue", "Pending", "Completed"]
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chart_data = get_chart_data(data_list,columns)
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ranges = get_period_date_ranges(period=filters["range"], year_start_date = filters["from_date"],year_end_date=filters["to_date"])
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for label in labels:
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work = {}
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work["Status"] = label
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for dummy,end_date in ranges:
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period = get_period(end_date,filters["range"])
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if data_list.get(label).get(period):
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work[period] = data_list.get(label).get(period)
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else:
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work[period] = 0.0
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data.append(work)
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return data, chart_data
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def get_chart_data(data_list,columns):
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labels = [d.get("label") for d in columns[1:]]
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all_data, not_start, overdue, pending, completed = [], [], [] , [], []
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datasets = []
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for d in labels:
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all_data.append(data_list.get("All Work Orders").get(d))
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not_start.append(data_list.get("Not Started").get(d))
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overdue.append(data_list.get("Overdue").get(d))
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pending.append(data_list.get("Pending").get(d))
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completed.append(data_list.get("Completed").get(d))
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datasets.append({'name':'All Work Orders', 'values': all_data})
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datasets.append({'name':'Not Started', 'values': not_start})
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datasets.append({'name':'Overdue', 'values': overdue})
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datasets.append({'name':'Pending', 'values': pending})
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datasets.append({'name':'Completed', 'values': completed})
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chart = {
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"data": {
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'labels': labels,
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'datasets':datasets
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}
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}
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chart["type"] = "line"
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return chart
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