Preparation of MDMS Data for Data Loading

This document shows the preparation of the mdms changes be to done for data loading.

To add data in tenant/tenants.json - For showing the tenant at login screen
Sample Data :

DETAILS	DESCRIPTION	DATA FROM ULB
Name of ULB	(E.g.: Berhampur Municipal Corporation or Balasore Municipality or Banki NAC)	ANGUL MUNICIPALITY
ULB Census Code (Optional)	->
PIN codes covered within ULB Boundary (separate by commas)	(Eg.: 759001, 759013)	759122, 759132, 759123, 759143
District Name	->	ANGUL
District Code (Optional)	->
Helpline Phone numbers for Septic tank cleaning	(Write both Landline with Code and Mobile No. if you have, separated by commas.) (Eg.: 0674-234563, 91-9876786543)	14420
ULB's full postal Address	->	AT/PO-AMLAPADA, DIST-ANGUL, PIN-759122
ULB Email Address	->	angulmunicipality@gmail.com

Example : Create a json for new ulb and Add required details given.

{
    "code": "od.angul",
    "name": "Angul",
    "description": "Angul",
    "logoId": "https://digitaldesksujog051120.blob.core.windows.net/assets/Logos/odlogo.png",
    "imageId": null,
    "domainUrl": "https://sujog.odisha.gov.in",
    "type": "CITY",
    "twitterUrl": null,
    "facebookUrl": null,
    "emailId": "angulmunicipality@gmail.com",
    "OfficeTimings": {
        "Mon - Fri": "9.00 AM - 6.00 PM",
        "Sat": "9.00 AM - 12.00 PM"
    },
    "pincode": [
        759122,
        759132,
        759123,
        759143
    ],
    "city": {
        "name": "Angul",
        "localName": null,
        "districtCode": "Angul",
        "districtName": "Angul",
        "regionName": "Angul",
        "ulbGrade": "Angul Municipality",
        "longitude": 0,
        "latitude": 0,
        "shapeFileLocation": null,
        "captcha": null,
        "code": "ANG",
        "ddrName": "Angul",
        "wsBillHeaderLine1": "OFFICE OF THE AE/JE",
        "wsBillHeaderLine2": "PUBLIC HEALTH ENGINEERING ORGANIZATION : Angul",
        "districtTenantCode": "od.angul"
    },
    "address": "AT/PO-Amlapada,Dist-Angul, Pin-759122",
    "contactNumber": "",
    "helpLineNumber": "14420"
}

Adding in tenant/citymodule.json - To enable ulb to create application,add new tenant code in FSM module.

{ "module": "FSM", "code": "FSM", "active": true, "tenants": [ { "code": "pg.citya" }, { "code": "pg.angul" } ] }
Adding FSTP details in FSM/FSTPPlantInfo.json
Required Details:

DETAILS	DESCRIPTION	DATA FROM ULB
FSTP Plant Address	->	NUAMAUSA, PANCHAMAHALLA, ANGUL, 759132
B.2. FSTP Installed Capacity in Kilo-Liters	(Eg.: 45 KLD)	18 KLD
B.3. Plant Operation Timing Duration	(Eg.: 09:00 AM - 08:00 PM)	9.00AM-5.00PM

Eg.

{
    "PlantCode": "ANG_001",
    "PlantName": "ANGUL Plant",
    "active": true,
    "PlantType": "SeTP",
    "PlantLocation": "ANGUL",
    "PlusCode": "R3RW+7JQ",
    "PlantOperationalTimings": "09.00am-05.00pm",
    "PlantOperationalCapacityKLD": "18",
    "ULBS": "pg.angul"
}

Field Name

Description

Comments

Plus code

Copy paste the plus code of the plant location

Go to google maps , search for the plant and in the left panel you will have option to copy the plus code of the location.

Plus code is a simple digital address based out of latitude and longitude

Unique Code for Plant

This will be an unique code for the SeTP plant

For example : If the plant is the ANGUL Plant then the there can be 3 alphabets to identify the city "ANG_001 "

001 - is a running sequence number for a state.If the first row is 001 the second row can be 002.

If the second row plant is from PURI then the code can be "PURI_002"

Creating Boundary data for Gram Panchayat in ULBNAME/egov-location/boundary-data.json
The GP details will be given in Annexure-5,in hierarchyType - REVENUE ,add GP data after locality data.
The json format of GP is :

{ "id": 6, "boundaryNum": 1, "name": "GP 1", "localname": "GP1", "longitude": null, "latitude": null, "label": "GP", "code": "GP1", "children": [ { "id": 11, "boundaryNum": 1, "name": "Village 1", "localname": "Village local 1", "longitude": 74.871552, "latitude": 31.63089, "label": "Village", "code": "VIL1", "pincode": [ 143001 ], "area": "V-Area1", "children": [] }, { "id": 12, "boundaryNum": 1, "name": "Village 2", "localname": "Village local 2", "longitude": null, "latitude": null, "label": "Village", "code": "VIL2", "pincode": [ 143001 ], "area": "V-Area1", "children": [] } ] },

Example:

{
    "tenantId": "pg.rourkela",
    "moduleName": "egov-location",
    "TenantBoundary": [
        {
            "hierarchyType": {
                "code": "REVENUE",
                "name": "REVENUE"
            },
            "boundary": {
                "id": 1,
                "boundaryNum": 1,
                "name": "Rourkela",
                "localname": "Rourkela",
                "longitude": null,
                "latitude": null,
                "label": "City",
                "code": "pg.rourkela",
                "children": [
                    {
                        "id": "2",
                        "boundaryNum": 1,
                        "name": "Pradhanpalli",
                        "localname": "Pradhanpalli",
                        "longitude": null,
                        "latitude": null,
                        "label": "Locality",
                        "code": "VIL1"
                    },
                    {
                        "id": "3",
                        "boundaryNum": 1,
                        "name": "Other",
                        "localname": "Other",
                        "longitude": null,
                        "latitude": null,
                        "label": "GP",
                        "code": "OTH1",
                        "children": []
                    }
                ]
            }
        }
    ]
}

Steps to create the jsons of GP data -

The GP data is given in excel format.
Copy all the GP’s list and make an excel with format given below

id	boundaryNum	name	localname	longitude	latitude	label	code
10	1	Kodama	Kodama	null	null	GP	GUD5
11	1	M K Rai	M K Rai	null	null	GP	GUD6
12	1	Madhubana	Madhubana	null	null	GP	GUD7

The name and localname is the GP name provided
The label is always GP and boundaryNum is 1.
Id is unique for each GP and should be in sequential order.
Provide a proper format of GP code according to GPname.
Convert the excel data into json using excel-json online converter.
Add the GP data after locality data in boundary-data.json file .
Check the format once,change id into string if it is in integer format.
Add "children": [] for each GP separately after converting to json.

Adding Slum Details in ULBNAME/FSM/Slum.json
The name of the slums will be provided.The format of slum adding in mdms is:
{ "name": "slumname", "active": true, "code": "CODE001", "locality": "VIL1" },

Steps To Create the jsons of Slum data :
The slum data is provided in excel format.

Make an excel with with given format

name	active	code	locality
Adibasi Sahi(Poda khaman)	true	ANAN001	VIL1
Badaharijan Sahi	true	ANAN002	VIL1

Add all the slums in name field
change the code according to ulb name
add locality VIL1 according to boundary-data.
convert the excel data into json using excel to json converter.
create a folder of a respective tenant and inside it add slum.json file in FSM folder.

Adding New Vehicles in VehicleMakeModel
Before pushing the vehicle data,new vehicle should be added in mdms.

Vehicle Make	Eg.: Swaraj, Eicher, Mahindra etc. ->	Mahindra
Vehicle Model	Eg.: Truck, Tractor, Pick Up etc. ->	Truck
GPS Tracker is present in vehicle?	YES or NO ->	No
Cesspool Tank Capacity (in Litres)	->	1000

Eg. new vehicle add

 {
            "code": "MAHINDRA",
            "name": "Mahindra",
            "active": true
},
{
            "code": "MAHINDRA.TRUCK",
            "name": "Truck",
            "active": true,
            "make": "MAHINDRA",
            "capacity": "1000"
}

The code should be different for each vehicle and in format make.name .

Billing-slab pricing preparation
For adding the rate slabs(pricing) of vehicles,consider different combination of propertyType , slum and tank capacity.
1. Required combination of property types and Sub-property types added in MDMS :
2. RESIDENTIAL and RESIDENTIAL.SUB-PROPERTY_TYPE
3. INSTITUTIONAL and INSTITUTIONAL.SUB-PROPERTY_TYPE
4. COMMERCIAL and COMMERCIAL.SUB-PROPERTY_TYPE
5. Sample Data for pricing :

Name of the ULB: (Write in right side box)	Anandapur Municipality
Details	Description	Vehicle-1	Vehicle-2
Cesspool Tank Capacity (in Litres)	->	1000	3000
Per trip Pricing for Residential properties	->	1000	2000
Per trip Pricing for Commercial properties	->	1000	3000
Per trip Pricing for Institutional properties	->	1000	2000
Per trip Pricing for Slum areas	->	800	1500

Steps to make billing-slab data:

A. Create an excel file in given format

tenantId	capacityFrom	capacityTo	propertyType	slum	price	status
od.anandapur	0	1000	RESIDENTIAL	YES	1000	ACTIVE
od.anandapur	0	1000	RESIDENTIAL.INDEPENDENT_HOUSE	NO	800	ACTIVE

B. Consider all property types and sub-property type present in mdms with slum YES and with slum NO.

C. for capacity 1000L,the pricing is given as

For slum NO :

RESIDENTIAL and RESIDENTIAL.SUB-PROPERTY_TYPE - 1000
INSTITUTIONAL and INSTITUTIONAL.SUB-PROPERTY_TYPE - 1000
COMMERCIAL and COMMERCIAL.SUB-PROPERTY_TYPE - 1000

For slum YES(Per trip Pricing for Slum areas) :

RESIDENTIAL and RESIDENTIAL.SUB-PROPERTY_TYPE - 800
INSTITUTIONAL and INSTITUTIONAL.SUB-PROPERTY_TYPE - 800
COMMERCIAL and COMMERCIAL.SUB-PROPERTY_TYPE - 800

D. for capacity 3000L,the pricing is given as

For slum NO :

RESIDENTIAL and RESIDENTIAL.SUB-PROPERTY_TYPE - 2000
INSTITUTIONAL and INSTITUTIONAL.SUB-PROPERTY_TYPE - 2000
COMMERCIAL and COMMERCIAL.SUB-PROPERTY_TYPE - 3000

For slum YES(Per trip Pricing for Slum areas) :

RESIDENTIAL and RESIDENTIAL.SUB-PROPERTY_TYPE - 1500
INSTITUTIONAL and INSTITUTIONAL.SUB-PROPERTY_TYPE - 1500
COMMERCIAL and COMMERCIAL.SUB-PROPERTY_TYPE - 1500

E. After creating the excel file by considering the combinations,convert the excel file into json.

F. Push the same json file in billing slab api using runner.

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Preparation of MDMS Data for Data Loading

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