Production Analytics Query Report (#15673)

* Production Analytics Query Report

* Changes in production analytics report

* Updated json file and other changes
This commit is contained in:
deepeshgarg007 2018-10-18 17:43:41 +05:30 committed by Nabin Hait
parent 25e9db5e81
commit 25edac451d
4 changed files with 235 additions and 0 deletions

View File

@ -0,0 +1,46 @@
// Copyright (c) 2016, Frappe Technologies Pvt. Ltd. and contributors
// For license information, please see license.txt
/* eslint-disable */
frappe.query_reports["Production Analytics"] = {
"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.defaults.get_user_default("year_start_date"),
reqd: 1
},
{
fieldname:"to_date",
label: __("To Date"),
fieldtype: "Date",
default: frappe.defaults.get_user_default("year_end_date"),
reqd: 1
},
{
fieldname: "range",
label: __("Range"),
fieldtype: "Select",
options: [
{ "value": "Weekly", "label": __("Weekly") },
{ "value": "Monthly", "label": __("Monthly") },
{ "value": "Quarterly", "label": __("Quarterly") },
{ "value": "Yearly", "label": __("Yearly") }
],
default: "Monthly",
reqd: 1
}
],
"formatter": function(value, row, column, data) {
return value;
}
}

View File

@ -0,0 +1,27 @@
{
"add_total_row": 0,
"creation": "2018-10-11 19:28:37.085066",
"disabled": 0,
"docstatus": 0,
"doctype": "Report",
"idx": 0,
"is_standard": "Yes",
"letter_head": "",
"modified": "2018-10-11 19:28:37.085066",
"modified_by": "Administrator",
"module": "Manufacturing",
"name": "Production Analytics",
"owner": "Administrator",
"prepared_report": 0,
"ref_doctype": "Work Order",
"report_name": "Production Analytics",
"report_type": "Script Report",
"roles": [
{
"role": "Manufacturing User"
},
{
"role": "Stock User"
}
]
}

View File

@ -0,0 +1,162 @@
# Copyright (c) 2013, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.utils import getdate
from erpnext.selling.report.sales_analytics.sales_analytics import (get_period_date_ranges,get_period)
def execute(filters=None):
columns = get_columns(filters)
data, chart = get_data(filters,columns)
return columns, data,None ,chart
def get_columns(filters):
columns =[
{
"label": _("Status"),
"fieldname": "Status",
"fieldtype": "Data",
"width": 140
}]
ranges = get_period_date_ranges(period=filters["range"], year_start_date = filters["from_date"],year_end_date=filters["to_date"])
for dummy, end_date in ranges:
label = field_name = get_period(end_date,filters["range"])
columns.append(
{
"label": _(label),
"field_name":field_name,
"fieldtype": "Float",
"width": 120
},
)
return columns
def get_data_list(filters,entry):
data_list = {
"All Work Orders" : {},
"Not Started" : {},
"Overdue" : {},
"Pending" : {},
"Completed" : {}
}
ranges = get_period_date_ranges(period=filters["range"], year_start_date = filters["from_date"],year_end_date=filters["to_date"])
for from_date,end_date in ranges:
period = get_period(end_date,filters["range"])
for d in entry:
if getdate(d.creation) <= getdate(from_date) or getdate(d.creation) <= getdate(end_date) :
data_list = update_data_list(data_list,"All Work Orders",period)
if d.status == 'Completed':
if getdate(d.actual_end_date) < getdate(from_date) or getdate(d.modified) < getdate(from_date):
data_list = update_data_list(data_list, "Completed",period)
elif getdate(d.actual_start_date) < getdate(from_date) :
data_list = update_data_list(data_list, "Pending", period)
elif getdate(d.planned_start_date) < getdate(from_date) :
data_list = update_data_list(data_list, "Overdue", period)
else:
data_list = update_data_list(data_list, "Not Started", period)
elif d.status == 'In Process':
if getdate(d.actual_start_date) < getdate(from_date) :
data_list = update_data_list(data_list, "Pending", period)
elif getdate(d.planned_start_date) < getdate(from_date) :
data_list = update_data_list(data_list, "Overdue", period)
else:
data_list = update_data_list(data_list, "Not Started", period)
elif d.status == 'Not Started':
if getdate(d.planned_start_date) < getdate(from_date) :
data_list = update_data_list(data_list, "Overdue", period)
else:
data_list = update_data_list(data_list, "Not Started", period)
return data_list
def update_data_list(data_list, status, period):
if data_list.get(status).get(period):
data_list[status][period] += 1
else:
data_list[status][period] = 1
return data_list
def get_data(filters,columns):
data = []
entry = frappe.get_all("Work Order",
fields=["creation", "modified", "actual_start_date", "actual_end_date", "planned_start_date", "planned_end_date", "status"],
filters={"docstatus" : 1, "company" : filters["company"] })
data_list = get_data_list(filters,entry)
labels = ["All Work Orders", "Not Started", "Overdue", "Pending", "Completed"]
chart_data = get_chart_data(data_list,columns)
ranges = get_period_date_ranges(period=filters["range"], year_start_date = filters["from_date"],year_end_date=filters["to_date"])
for label in labels:
work = {}
work["Status"] = label
for dummy,end_date in ranges:
period = get_period(end_date,filters["range"])
if data_list.get(label).get(period):
work[period] = data_list.get(label).get(period)
else:
work[period] = 0.0
data.append(work)
return data, chart_data
def get_chart_data(data_list,columns):
labels = [d.get("label") for d in columns[1:]]
all_data, not_start, overdue, pending, completed = [], [], [] , [], []
datasets = []
for d in labels:
all_data.append(data_list.get("All Work Orders").get(d))
not_start.append(data_list.get("Not Started").get(d))
overdue.append(data_list.get("Overdue").get(d))
pending.append(data_list.get("Pending").get(d))
completed.append(data_list.get("Completed").get(d))
datasets.append({'name':'All Work Orders', 'values': all_data})
datasets.append({'name':'Not Started', 'values': not_start})
datasets.append({'name':'Overdue', 'values': overdue})
datasets.append({'name':'Pending', 'values': pending})
datasets.append({'name':'Completed', 'values': completed})
chart = {
"data": {
'labels': labels,
'datasets':datasets
}
}
chart["type"] = "line"
return chart