MongoDB aggregation re-group deep nested array of objects - mongodb

Good day all,
I need some help figuring out this aggregation issue. I have a document with nested arrays where I want to perform lookups on the nested array's values after which I want to restore the document to its original structure. see below:
[
{
"_id": "63c7fec2fe9afea23afdbcef",
"primary_language": "en",
"image_link": "avatar_image_linl",
"description": ["Some description text here"],
"source": "community",
"standard": "imperial",
"gender": "male",
"base_a": 47,
"base_w": 220,
"base_h": 71.65,
"status": "draft",
"date_created": "2023-01-18T14:14:26.201Z",
"product_plan": {
"p_len": 4,
"p_fre": 1,
"p_qua": 4,
"avg_len": 3583,
"total_wor": 16,
"total_exe": 128,
"plan": {
"field_we": 1,
"field_da": 1,
"field_ti": 1,
"field_rest_we": false,
"field_rest_da": false,
"product": {
"name": "W111",
"comment": {
"en": ""
},
"pro_diff": [
{
"itemID": 2,
"description": "Intermediate"
}
],
"pro_int": [
{
"itemID": 2,
"description": "Moderate"
}
],
"pro_dur": 3736,
"nbr_exe": 8,
"target_mus": [
{
"itemID": 1,
"description": "Adominorus"
},
{
"itemID": 16,
"description": "Tricerus"
},
{
"itemID": 5,
"description": "Chiwawak"
}
],
"target_are": [
{
"itemID": 1,
"description": "Adominorus"
},
{
"itemID": 4,
"description": "Chiwawak"
},
{
"itemID": 2,
"description": "Amanus"
}
],
"items": {
"itemid": 44,
"target_are": [
{
"itemID": 4,
"description": "Chiwawak"
}
],
"target_mus": [
{
"itemID": 5,
"description": "Chiwawak"
}
],
"nbr_ref": 4,
"int_rec": "06~10",
"type_rec": [
{
"itemID": 14,
"description": "Straight Set"
}
],
"tempo": "1-1-1-1",
"rest_time": 90,
"note": "",
"order": null,
"pro_dur": 520,
"_id": "63ca9b798d47745ae5589906",
"status": 0,
"pct_complete": 0,
"set": []
},
"isCustomName": false,
"status": 0,
"pct_complete": 0
},
"_id": "63ca95368d47745ae558985e"
},
"_id": "63c7fec2fe9afea23afdbcf0"
},
"title": "Short Title text here",
"itemID": "bodyfyme882212-1674051266.214",
"__v": 32
},
{
"_id": "63c7fec2fe9afea23afdbcef",
"primary_language": "en",
"image_link": "avatar_image_linl",
"description": ["Some description text here"],
"source": "community",
"standard": "imperial",
"gender": "male",
"base_a": 47,
"base_w": 220,
"base_h": 71.65,
"status": "draft",
"date_created": "2023-01-18T14:14:26.201Z",
"product_plan": {
"p_len": 4,
"p_fre": 1,
"p_qua": 4,
"avg_len": 3583,
"total_wor": 16,
"total_exe": 128,
"plan": {
"field_we": 1,
"field_da": 1,
"field_ti": 1,
"field_rest_we": false,
"field_rest_da": false,
"product": {
"name": "W111",
"comment": {
"en": ""
},
"pro_diff": [
{
"itemID": 2,
"description": "Intermediate"
}
],
"pro_int": [
{
"itemID": 2,
"description": "Moderate"
}
],
"pro_dur": 3736,
"nbr_exe": 8,
"target_mus": [
{
"itemID": 1,
"description": "Adominorus"
},
{
"itemID": 16,
"description": "Tricerus"
},
{
"itemID": 5,
"description": "Chiwawak"
}
],
"target_are": [
{
"itemID": 1,
"description": "Adominorus"
},
{
"itemID": 4,
"description": "Chiwawak"
},
{
"itemID": 2,
"description": "Amanus"
}
],
"items": {
"itemid": 339,
"target_are": [
{
"itemID": 4,
"description": "Chiwawak"
}
],
"target_mus": [
{
"itemID": 5,
"description": "Chiwawak"
}
],
"nbr_ref": 3,
"int_rec": "06~10",
"type_rec": [
{
"itemID": 14,
"description": "Straight Set"
}
],
"tempo": "1-1-1-1",
"rest_time": 90,
"note": "",
"order": null,
"pro_dur": 390,
"_id": "63ca9b798d47745ae5589907",
"status": 0,
"pct_complete": 0,
"set": []
},
"isCustomName": false,
"status": 0,
"pct_complete": 0
},
"_id": "63ca95368d47745ae558985e"
},
"_id": "63c7fec2fe9afea23afdbcf0"
},
"title": "Short Title text here",
"itemID": "bodyfyme882212-1674051266.214",
"__v": 32
},
{
"_id": "63c7fec2fe9afea23afdbcef",
"primary_language": "en",
"image_link": "avatar_image_linl",
"description": ["Some description text here"],
"source": "community",
"standard": "imperial",
"gender": "male",
"base_a": 47,
"base_w": 220,
"base_h": 71.65,
"status": "draft",
"date_created": "2023-01-18T14:14:26.201Z",
"product_plan": {
"p_len": 4,
"p_fre": 1,
"p_qua": 4,
"avg_len": 3583,
"total_wor": 16,
"total_exe": 128,
"plan": {
"field_we": 1,
"field_da": 2,
"field_ti": 1,
"field_rest_we": false,
"field_rest_da": false,
"product": {
"name": "W121",
"comment": {
"en": ""
},
"pro_diff": [
{
"itemID": 2,
"description": "Intermediate"
}
],
"pro_int": [
{
"itemID": 2,
"description": "Moderate"
}
],
"pro_dur": 2674,
"nbr_exe": 6,
"target_mus": [
{
"itemID": 9,
"description": "Lats"
},
{
"itemID": 10,
"description": "Lower Back"
},
{
"itemID": 11,
"description": "Middle Back"
}
],
"target_are": [
{
"itemID": 3,
"description": "Back"
}
],
"items": {
"itemid": 47,
"target_are": [
{
"itemID": 3,
"description": "Back"
}
],
"target_mus": [
{
"itemID": 10,
"description": "Lower Back"
}
],
"nbr_ref": 4,
"int_rec": "06~10",
"type_rec": [
{
"itemID": 14,
"description": "Straight Set"
}
],
"tempo": "1-1-1-1",
"rest_time": 90,
"note": "",
"order": null,
"pro_dur": 520,
"_id": "63caa1568d47745ae5589b25",
"status": 0,
"pct_complete": 0,
"set": []
},
"isCustomName": false,
"status": 0,
"pct_complete": 0
},
"_id": "63ca9b8e8d47745ae558994b"
},
"_id": "63c7fec2fe9afea23afdbcf0"
},
"title": "Short Title text here",
"itemID": "bodyfyme882212-1674051266.214",
"__v": 32
},
{
"_id": "63c7fec2fe9afea23afdbcef",
"primary_language": "en",
"image_link": "avatar_image_linl",
"description": ["Some description text here"],
"source": "community",
"standard": "imperial",
"gender": "male",
"base_a": 47,
"base_w": 220,
"base_h": 71.65,
"status": "draft",
"date_created": "2023-01-18T14:14:26.201Z",
"product_plan": {
"p_len": 4,
"p_fre": 1,
"p_qua": 4,
"avg_len": 3583,
"total_wor": 16,
"total_exe": 128,
"plan": {
"field_we": 1,
"field_da": 2,
"field_ti": 1,
"field_rest_we": false,
"field_rest_da": false,
"product": {
"name": "W121",
"comment": {
"en": ""
},
"pro_diff": [
{
"itemID": 2,
"description": "Intermediate"
}
],
"pro_int": [
{
"itemID": 2,
"description": "Moderate"
}
],
"pro_dur": 2674,
"nbr_exe": 6,
"target_mus": [
{
"itemID": 9,
"description": "Lats"
},
{
"itemID": 10,
"description": "Lower Back"
},
{
"itemID": 11,
"description": "Middle Back"
}
],
"target_are": [
{
"itemID": 3,
"description": "Back"
}
],
"items": {
"itemid": 495,
"target_are": [
{
"itemID": 3,
"description": "Back"
}
],
"target_mus": [
{
"itemID": 11,
"description": "Middle Back"
}
],
"nbr_ref": 3,
"int_rec": "10~12",
"type_rec": [
{
"itemID": 14,
"description": "Straight Set"
}
],
"tempo": "1-1-1-1",
"rest_time": 90,
"note": "",
"order": null,
"pro_dur": 414,
"_id": "63caa1568d47745ae5589b26",
"status": 0,
"pct_complete": 0,
"set": []
},
"isCustomName": false,
"status": 0,
"pct_complete": 0
},
"_id": "63ca9b8e8d47745ae558994b"
},
"_id": "63c7fec2fe9afea23afdbcf0"
},
"title": "Short Title text here",
"itemID": "bodyfyme882212-1674051266.214",
"__v": 32
},
{
......
}
]
Now i want to get the document back to this structure using aggregation.
{
"_id": "63c7fec2fe9afea23afdbcef",
"primary_language": "en",
"image_link": "avatar_image_linl",
"description": ["Some description text here"],
"source": "community",
"standard": "imperial",
"gender": "male",
"base_a": 47,
"base_w": 220,
"base_h": 71.65,
"status": "draft",
"date_created": "2023-01-18T14:14:26.201Z",
"product_plan": {
"p_len": 4,
"p_fre": 1,
"p_qua": 4,
"avg_len": 3583,
"total_wor": 16,
"total_exe": 128,
// Group plan here by product_plan._id
"plan": [
{
"field_we": 1,
"field_da": 1,
"field_ti": 1,
"field_rest_we": false,
"field_rest_da": false,
"product": {
"name": "W111",
"comment": {
"en": ""
},
"pro_diff": [
{
"itemID": 2,
"description": "Intermediate"
}
],
"pro_int": [
{
"itemID": 2,
"description": "Moderate"
}
],
"pro_dur": 3736,
"nbr_exe": 8,
"target_mus": [
{
"itemID": 1,
"description": "Adominorus"
},
{
"itemID": 16,
"description": "Tricerus"
},
{
"itemID": 5,
"description": "Chiwawak"
}
],
"target_are": [
{
"itemID": 1,
"description": "Adominorus"
},
{
"itemID": 4,
"description": "Chiwawak"
},
{
"itemID": 2,
"description": "Amanus"
}
],
// group items by plan._id
"items": [
{
"itemid": 44,
"target_are": [
{
"itemID": 4,
"description": "Chiwawak"
}
],
"target_mus": [
{
"itemID": 5,
"description": "Chiwawak"
}
],
"nbr_ref": 4,
"int_rec": "06~10",
"type_rec": [
{
"itemID": 14,
"description": "Straight Set"
}
],
"tempo": "1-1-1-1",
"rest_time": 90,
"note": "",
"order": null,
"pro_dur": 520,
"_id": "63ca9b798d47745ae5589906",
"status": 0,
"pct_complete": 0,
"set": []
},
{
"itemid": 339,
"target_are": [
{
"itemID": 4,
"description": "Chiwawak"
}
],
"target_mus": [
{
"itemID": 5,
"description": "Chiwawak"
}
],
"nbr_ref": 3,
"int_rec": "06~10",
"type_rec": [
{
"itemID": 14,
"description": "Straight Set"
}
],
"tempo": "1-1-1-1",
"rest_time": 90,
"note": "",
"order": null,
"pro_dur": 390,
"_id": "63ca9b798d47745ae5589907",
"status": 0,
"pct_complete": 0,
"set": []
},
],
"isCustomName": false,
"status": 0,
"pct_complete": 0
},
"_id": "63ca95368d47745ae558985e"
},
{
"field_we": 1,
"field_da": 2,
"field_ti": 1,
"field_rest_we": false,
"field_rest_da": false,
"product": {
"name": "W121",
"comment": {
"en": ""
},
"pro_diff": [
{
"itemID": 2,
"description": "Intermediate"
}
],
"pro_int": [
{
"itemID": 2,
"description": "Moderate"
}
],
"pro_dur": 2674,
"nbr_exe": 6,
"target_mus": [
{
"itemID": 9,
"description": "Lats"
},
{
"itemID": 10,
"description": "Lower Back"
},
{
"itemID": 11,
"description": "Middle Back"
}
],
"target_are": [
{
"itemID": 3,
"description": "Back"
}
],
// group items by plan._id
"items": [
{
"itemid": 47,
"target_are": [
{
"itemID": 3,
"description": "Back"
}
],
"target_mus": [
{
"itemID": 10,
"description": "Lower Back"
}
],
"nbr_ref": 4,
"int_rec": "06~10",
"type_rec": [
{
"itemID": 14,
"description": "Straight Set"
}
],
"tempo": "1-1-1-1",
"rest_time": 90,
"note": "",
"order": null,
"pro_dur": 520,
"_id": "63caa1568d47745ae5589b25",
"status": 0,
"pct_complete": 0,
"set": []
},
{
"itemid": 495,
"target_are": [
{
"itemID": 3,
"description": "Back"
}
],
"target_mus": [
{
"itemID": 11,
"description": "Middle Back"
}
],
"nbr_ref": 3,
"int_rec": "10~12",
"type_rec": [
{
"itemID": 14,
"description": "Straight Set"
}
],
"tempo": "1-1-1-1",
"rest_time": 90,
"note": "",
"order": null,
"pro_dur": 414,
"_id": "63caa1568d47745ae5589b26",
"status": 0,
"pct_complete": 0,
"set": []
}
],
"isCustomName": false,
"status": 0,
"pct_complete": 0
},
"_id": "63ca9b8e8d47745ae558994b"
}
],
"_id": "63c7fec2fe9afea23afdbcf0"
},
"title": "Short Title text here",
"itemID": "bodyfyme882212-1674051266.214",
"__v": 32
}
Any help would be greatly appreciated

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Tooltips work on key:value pairs. If you amend your input data to an object of key value pairs and create a flatten transform, you can achieve your desired behaviour. I have changed all the tooltips below to be identical for speed but you should see the pattern.
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{
"ID": "10",
"ParentID": "1",
"CategoryName": "Taxi",
"ParentCategoryName": "FourWheeler"
},
{
"ID": "11",
"ParentID": "1",
"CategoryName": "Car",
"ParentCategoryName": "FourWheeler"
},
{
"ID": "12",
"ParentID": "1",
"CategoryName": "Van",
"ParentCategoryName": "FourWheeler"
},
{
"ID": "13",
"ParentID": "1",
"CategoryName": "Other",
"ParentCategoryName": "FourWheeler"
}]
},
{
"ID": "2",
"ParentID": "0",
"CategoryName": "Boat",
"Children": [
{
"ID": "14",
"ParentID": "2",
"CategoryName": "Motorboat",
"ParentCategoryName": "Boat"
},
{
"ID": "15",
"ParentID": "2",
"CategoryName": "Sailingboat",
"ParentCategoryName": "Boat"
},
{
"ID": "16",
"ParentID": "2",
"CategoryName": "SteamBoat",
"ParentCategoryName": "Boat"
},
{
"ID": "17",
"ParentID": "2",
"CategoryName": "Other",
"ParentCategoryName": "Boat"
}]
}
]
I need to populate ListView on the basis of this list. We should have listview populated such a way that there are headers and each headers will have their respective items.
For Example, ListView should look something like,
**FourWheeler**
Jeep
Taxi
Car
Van
Other
**Boat**
Motorboat
Sailingboat
Steamboat
Other
For simple list like this:
List Fruits = ['Apple','Orange','Kiwi','Avocado'];
I would have done like this
Fruits.map<Widget>((fruit)=>Container(child: Text(fruit))).toList();
But I don't know how to deal with the scenario I have. Any help will be appreciated. Thanks
This is one way you can populate a ListView as you have described:
import 'package:flutter/material.dart';
void main() {
runApp(MyApp());
}
class MyApp extends StatelessWidget {
#override
Widget build(BuildContext context) {
return MaterialApp(
home: Scaffold(
body: ListView(
children: [
for (final header in data) ...[
ListTile(title: Text('**${header['CategoryName']}**')),
for (final item in header['Children'] ?? [])
ListTile(title: Text(' ${item['CategoryName']}')),
],
],
),
),
);
}
}
const List<Map<String, dynamic>> data = [
{
"ID": "1",
"ParentID": "0",
"CategoryName": "FourWheeler",
"Children": [
{
"ID": "9",
"ParentID": "1",
"CategoryName": "Jeep",
"ParentCategoryName": "FourWheeler"
},
{
"ID": "10",
"ParentID": "1",
"CategoryName": "Taxi",
"ParentCategoryName": "FourWheeler"
},
{
"ID": "11",
"ParentID": "1",
"CategoryName": "Car",
"ParentCategoryName": "FourWheeler"
},
{
"ID": "12",
"ParentID": "1",
"CategoryName": "Van",
"ParentCategoryName": "FourWheeler"
},
{
"ID": "13",
"ParentID": "1",
"CategoryName": "Other",
"ParentCategoryName": "FourWheeler"
}
]
},
{
"ID": "2",
"ParentID": "0",
"CategoryName": "Boat",
"Children": [
{
"ID": "14",
"ParentID": "2",
"CategoryName": "Motorboat",
"ParentCategoryName": "Boat"
},
{
"ID": "15",
"ParentID": "2",
"CategoryName": "Sailingboat",
"ParentCategoryName": "Boat"
},
{
"ID": "16",
"ParentID": "2",
"CategoryName": "SteamBoat",
"ParentCategoryName": "Boat"
},
{
"ID": "17",
"ParentID": "2",
"CategoryName": "Other",
"ParentCategoryName": "Boat"
}
]
}
];
You could also group each header with something like an ExpansionTile:
ListView(
children: [
for (final header in data)
ExpansionTile(
title: Text('**${header['CategoryName']}**'),
children: [
for (final item in header['Children'] ?? [])
ListTile(title: Text(' ${item['CategoryName']}')),
],
),
],
),

List<Widgets> in rows and lines dynamically in Flutter

I have json:
{
"name": "Test",
"groupsCount": 5,
"groups": [
{
"name": "William Cooper",
"number": 1,
"linesCount": 2,
"lines": [
{
"name": "Brittany Ramirez",
"number": 1,
"placesCount": 15,
"places": [
{
"name": "Elizabeth Welch",
"number": 1
},
{
"name": "Bradley Pugh",
"number": 2
},
{
"name": "Noah Johnson",
"number": 3
},
{
"name": "Laura Cox",
"number": 4
},
{
"name": "Tiffany Hatfield",
"number": 5
},
{
"name": "Patricia Hayes",
"number": 6
},
{
"name": "Kevin Jenkins MD",
"number": 7
},
{
"name": "Brent Wilkins",
"number": 8
},
{
"name": "Mr. Bruce Hart",
"number": 9
},
{
"name": "Courtney Newman",
"number": 10
},
{
"name": "Dawn Campbell",
"number": 11
},
{
"name": "Ashley Scott",
"number": 12
},
{
"name": "Robert Becker",
"number": 13
},
{
"name": "Kevin Williams",
"number": 14
},
{
"name": "Elizabeth Davidson",
"number": 15
}
]
},
{
"name": "Carol Watson",
"number": 2,
"placesCount": 12,
"places": [
{
"name": "Kathleen Jones",
"number": 16
},
{
"name": "Robin Smith",
"number": 17
},
{
"name": "David Johnson",
"number": 18
},
{
"name": "Richard Boyd",
"number": 19
},
{
"name": "Mason Randolph",
"number": 20
},
{
"name": "James Bernard",
"number": 21
},
{
"name": "Timothy Miller",
"number": 22
},
{
"name": "Thomas Stone",
"number": 23
},
{
"name": "Steven Jones",
"number": 24
},
{
"name": "William Hernandez",
"number": 25
},
{
"name": "Joy Duarte",
"number": 26
},
{
"name": "Justin Anderson",
"number": 27
}
]
}
]
},
{
"name": "Sarah Jordan",
"number": 2,
"linesCount": 1,
"lines": [
{
"name": "Lacey Estrada",
"number": 3,
"placesCount": 15,
"places": [
{
"name": "Madison Smith",
"number": 28
},
{
"name": "Kathleen Wells",
"number": 29
},
{
"name": "Dale Gross",
"number": 30
},
{
"name": "Brandy Cabrera",
"number": 31
},
{
"name": "Ashley Torres",
"number": 32
},
{
"name": "Ralph Long",
"number": 33
},
{
"name": "Christopher Walker",
"number": 34
},
{
"name": "Kimberly Moore",
"number": 35
},
{
"name": "Andrea Ortiz",
"number": 36
},
{
"name": "Heidi Todd",
"number": 37
},
{
"name": "Austin Wang",
"number": 38
},
{
"name": "Bryan Adams",
"number": 39
},
{
"name": "Jeffrey Alvarado",
"number": 40
},
{
"name": "Richard Morrison",
"number": 41
},
{
"name": "Jennifer Hodge",
"number": 42
}
]
}
]
},
{
"name": "Tiffany Lynch",
"number": 3,
"linesCount": 1,
"lines": [
{
"name": "Kimberly Howe DVM",
"number": 4,
"placesCount": 15,
"places": [
{
"name": "Nancy King",
"number": 43
},
{
"name": "Angela Cabrera",
"number": 44
},
{
"name": "Elizabeth Mack",
"number": 45
},
{
"name": "Shelly Riggs",
"number": 46
},
{
"name": "Jeremy French",
"number": 47
},
{
"name": "Deborah Myers",
"number": 48
},
{
"name": "Robert Kramer",
"number": 49
},
{
"name": "Brian Cunningham MD",
"number": 50
},
{
"name": "Christopher Brown",
"number": 51
},
{
"name": "Kathryn James",
"number": 52
},
{
"name": "Cassandra Martinez",
"number": 53
},
{
"name": "Nathan Long",
"number": 54
},
{
"name": "Molly Wilson",
"number": 55
},
{
"name": "Matthew Reilly",
"number": 56
},
{
"name": "Erin Maddox",
"number": 57
}
]
}
]
},
{
"name": "Christopher Martin",
"number": 4,
"linesCount": 1,
"lines": [
{
"name": "Gina Brewer",
"number": 5,
"placesCount": 13,
"places": [
{
"name": "Dennis Owens",
"number": 58
},
{
"name": "Rebecca Caldwell",
"number": 59
},
{
"name": "James Mckinney",
"number": 60
},
{
"name": "Donna Lee",
"number": 61
},
{
"name": "Michelle Martinez",
"number": 62
},
{
"name": "Jennifer Davis",
"number": 63
},
{
"name": "Shawn Moore",
"number": 64
},
{
"name": "Jeremiah Reilly",
"number": 65
},
{
"name": "Bruce Mendoza",
"number": 66
},
{
"name": "Juan Weaver",
"number": 67
},
{
"name": "Brian Bates",
"number": 68
},
{
"name": "Caitlin Jenkins",
"number": 69
},
{
"name": "Rachel Thomas",
"number": 70
}
]
}
]
},
{
"name": "Michelle Thompson",
"number": 5,
"linesCount": 2,
"lines": [
{
"name": "Kathleen Hall",
"number": 6,
"placesCount": 12,
"places": [
{
"name": "Jennifer Vaughan",
"number": 71
},
{
"name": "Glenn Mayer",
"number": 72
},
{
"name": "Allison Coleman",
"number": 73
},
{
"name": "Brittany Harris",
"number": 74
},
{
"name": "John Mccullough",
"number": 75
},
{
"name": "James Curtis",
"number": 76
},
{
"name": "John Smith",
"number": 77
},
{
"name": "Alison Morales",
"number": 78
},
{
"name": "Matthew Jones",
"number": 79
},
{
"name": "Jessica Watson",
"number": 80
},
{
"name": "Yvonne Anderson",
"number": 81
},
{
"name": "David Price",
"number": 82
}
]
},
{
"name": "Sarah White",
"number": 7,
"placesCount": 10,
"places": [
{
"name": "Kathleen Owen",
"number": 83
},
{
"name": "Amy Strickland",
"number": 84
},
{
"name": "James Collier",
"number": 85
},
{
"name": "Keith Smith Jr.",
"number": 86
},
{
"name": "Christopher York",
"number": 87
},
{
"name": "Patricia Todd",
"number": 88
},
{
"name": "Matthew Harris",
"number": 89
},
{
"name": "Betty Mckee",
"number": 90
},
{
"name": "Kayla Hahn",
"number": 91
},
{
"name": "Craig Duncan",
"number": 92
}
]
}
]
}
]
}
and I want to build view using lines and places. So if group have 2 lines and each line has 15 places I want to build something like that:
...............
...............
This is my code:
import 'package:flutter/material.dart';
import 'package:parking/models/groups.dart';
import 'package:parking/models/parking_group.dart';
import 'package:parking/services/parking_service.dart';
class ParkingDetailsScreen extends StatefulWidget {
#override
createState() => ParkingDetailsState();
}
class ParkingDetailsState extends State<ParkingDetailsScreen> {
#override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: Text("Parking Details"),
),
body: FutureBuilder<ParkingGroup>(
future: ParkingService.getParking(),
builder: (context, snapshot) {
if (snapshot.hasError) print(snapshot.error);
return snapshot.hasData
? _buildParking(snapshot.data)
: Center(child: CircularProgressIndicator());
},
)
);
}
}
final _parkings = <Groups>[];
Widget _buildParking(ParkingGroup parkingGroup) {
_parkings.clear();
_parkings.addAll(parkingGroup.groups);
return ListView.builder(
itemCount: _parkings.length,
itemBuilder: (context, index) {
return _buildRow(_parkings[index], context);
},
);
}
Widget _buildRow(Groups parkingGroup, BuildContext context) {
return Container(
padding: const EdgeInsets.all(16.0),
child: Row(
children: _buildRowList(parkingGroup),
),
);
}
List<Widget> _buildRowList(Groups parkingGroup) {
List<Widget> places = [];
for (var place in parkingGroup.lines) {
for (var placeLine in place.places) {
places.add(_buildPlace(placeLine));
}
}
return places;
}
Widget _buildPlace(place) {
return Container(
padding: const EdgeInsets.only(bottom: 8.0),
child:
SizedBox(
height: 5,
width: 5,
child: DecoratedBox(
decoration: BoxDecoration(
border: Border.all(color: Colors.blueAccent),
)),
),
);
}
//
//Widget _buildRow(Groups parkingGroup, BuildContext context) {
// return Container(
// padding: const EdgeInsets.all(16.0),
// child: Row(
// children: [
// Container(
// padding: const EdgeInsets.only(bottom: 8.0),
// child:
// SizedBox(
// height: 30,
// width: 30,
// child: DecoratedBox(
// decoration: BoxDecoration(
// border: Border.all(color: Colors.blueAccent),
// )),
// ),
// ),
// ],
// ),
// );
//}
but for this code I see all places in one line:
..............................
instead of
...............
...............
What I need to change in my code to get good result?
You need to change your _buildRow() and _buildRowList() methods:
Widget _buildRow(Groups parkingGroup, BuildContext context) {
return Container(
padding: const EdgeInsets.all(16.0),
child: Column( // As you expect multiple lines you need a column not a row
children: _buildRowList(parkingGroup),
),
);
}
List<Widget> _buildRowList(Groups parkingGroup) {
List<Widget> lines = []; // this will hold Rows according to available lines
for (var line in parkingGroup.lines) {
List<Widget> placesForLine = [] // this will hold the places for each line
for (var placeLine in line.places) {
placesForLine.add(_buildPlace(placeLine));
}
lines.add(Row(children: placesForLine));
}
return lines;
}

How to calculate YTD and MTD in mongodb?

How to calculate Month-To-Date(MTD) and Year-To-Date(YTD) in mongodb in a single query? sample data below, in this data requestedOn is a date field, I want to calculate MTD & YTD, on the assumption of financial year on "1st Jan of the year"(For example financial year for year 2016 is "01-Jan-2016" :
{
"_id": {
"$oid": "5808578b33fa6f161c9747f8"
},
"_class": "exceltest.TestBean",
"requestedOn": "2000-03-01",
"bookName": "Test6",
"revenue": 10.0,
"unitsSold": 1,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
},
{
"categoryCode": "Cooking/Beverages/Bartending"
},
{
"categoryCode": "Food Receipe/Taste"
}
]
}{
"_id": {
"$oid": "5808578b33fa6f161c9747f9"
},
"_class": "exceltest.TestBean",
"requestedOn": "2000-03-01",
"bookName": "Test1",
"revenue": 11.0,
"unitsSold": 2,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
},
{
"categoryCode": "Cooking/Beverages/Bartending"
},
{
"categoryCode": "Food Receipe/Taste"
}
]
}{
"_id": {
"$oid": "5808578b33fa6f161c9747fa"
},
"_class": "exceltest.TestBean",
"requestedOn": "2000-06-01",
"bookName": "Test2",
"revenue": 12.0,
"unitsSold": 3,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
},
{
"categoryCode": "Cooking/Beverages/Bartending"
},
{
"categoryCode": "Food Receipe/Taste"
}
]
}{
"_id": {
"$oid": "5808578b33fa6f161c9747fb"
},
"_class": "exceltest.TestBean",
"requestedOn": "2000-07-01",
"bookName": "Test3",
"revenue": 13.0,
"unitsSold": 4,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
},
{
"categoryCode": "Cooking/Beverages/Bartending"
},
{
"categoryCode": "Food Receipe/Taste"
}
]
}{
"_id": {
"$oid": "5808578b33fa6f161c9747fc"
},
"_class": "exceltest.TestBean",
"requestedOn": "2009-09-01",
"bookName": "Test4",
"revenue": 14.0,
"unitsSold": 5,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
},
{
"categoryCode": "Cooking/Beverages/Bartending"
},
{
"categoryCode": "Food Receipe/Taste"
}
]
}{
"_id": {
"$oid": "5808578b33fa6f161c9747fd"
},
"_class": "exceltest.TestBean",
"requestedOn": "2009-06-01",
"bookName": "Test5",
"revenue": 15.0,
"unitsSold": 6,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
},
{
"categoryCode": "Cooking/Beverages/Bartending"
},
{
"categoryCode": "Food Receipe/Taste"
}
]
}{
"_id": {
"$oid": "5808578b33fa6f161c9747fe"
},
"_class": "exceltest.TestBean",
"requestedOn": "2004-06-01",
"bookName": "Test10",
"revenue": 16.0,
"unitsSold": 7,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
},
{
"categoryCode": "Cooking/Beverages/Bartending"
},
{
"categoryCode": "Food Receipe/Taste"
}
]
}{
"_id": {
"$oid": "5808578b33fa6f161c9747ff"
},
"_class": "exceltest.TestBean",
"requestedOn": "2000-01-01",
"bookName": "Test11",
"revenue": 100.0,
"unitsSold": 100,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
},
{
"categoryCode": "Cooking/Beverages/Bartending"
},
{
"categoryCode": "Food Receipe/Taste"
}
]
}{
"_id": {
"$oid": "580857b833fa6f0c3499e462"
},
"_class": "exceltest.TestBean",
"requestedOn": "2000-02-01",
"bookName": "Test1",
"revenue": 20.0,
"unitsSold": 10,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
}
]
}{
"_id": {
"$oid": "580857b833fa6f0c3499e463"
},
"_class": "exceltest.TestBean",
"requestedOn": "2001-02-01",
"bookName": "Test2",
"revenue": 19.0,
"unitsSold": 9,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
}
]
}{
"_id": {
"$oid": "580857b833fa6f0c3499e464"
},
"_class": "exceltest.TestBean",
"requestedOn": "2001-02-01",
"bookName": "Test3",
"revenue": 18.0,
"unitsSold": 8,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
}
]
}{
"_id": {
"$oid": "580857b833fa6f0c3499e465"
},
"_class": "exceltest.TestBean",
"requestedOn": "2007-06-01",
"bookName": "Test4",
"revenue": 17.0,
"unitsSold": 7,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
}
]
}{
"_id": {
"$oid": "580857b833fa6f0c3499e466"
},
"_class": "exceltest.TestBean",
"requestedOn": "2005-06-01",
"bookName": "Test5",
"revenue": 16.0,
"unitsSold": 6,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
}
]
}{
"_id": {
"$oid": "580857b833fa6f0c3499e467"
},
"_class": "exceltest.TestBean",
"requestedOn": "2004-06-01",
"bookName": "Test1",
"revenue": 15.0,
"unitsSold": 5,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
}
]
}{
"_id": {
"$oid": "580857b833fa6f0c3499e468"
},
"_class": "exceltest.TestBean",
"requestedOn": "2002-06-01",
"bookName": "Test2",
"revenue": 14.0,
"unitsSold": 4,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
}
]
}{
"_id": {
"$oid": "580857b833fa6f0c3499e469"
},
"_class": "exceltest.TestBean",
"requestedOn": "2001-06-01",
"bookName": "Test3",
"revenue": 13.0,
"unitsSold": 3,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
}
]
}{
"_id": {
"$oid": "580857b833fa6f0c3499e46a"
},
"_class": "exceltest.TestBean",
"requestedOn": "2000-06-01",
"bookName": "Test4",
"revenue": 12.0,
"unitsSold": 2,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
}
]
}{
"_id": {
"$oid": "580857b833fa6f0c3499e46b"
},
"_class": "exceltest.TestBean",
"requestedOn": "2008-06-01",
"bookName": "Test5",
"revenue": 11.0,
"unitsSold": 1,
"bookCategory": [
{
"categoryCode": "Cooking/"
},
{
"categoryCode": "Cooking/Beverages"
},
{
"categoryCode": "Food Receipe/"
},
{
"categoryCode": "Food Receipe/Bartending"
}
]
}
Regards
Kris
It is a good practice to keep dates in MongoDB in its native dateformat ISODate().
You can use date formats like $year,$month,$day,$hour etc.
These can be used for grouping , in your case:
db.collectionName.aggregate([
{$group:{_id:{'Date':{$year:'$requestedOn'}},total:{$sum:'$FieldName'}}}
])
to convert string to ISODate , answers can be found at
- [http://stackoverflow.com/questions/15473772/how-to-convert-from-string-to-date-data-type?noredirect=1&lq=1][2]
- [http://stackoverflow.com/questions/15473772/how-to-convert-from-string-to-date-data-type?noredirect=1&lq=1][2]

JSONPath extracting values

I want extract all the offerId's from just one of the membershipId's below:
{
"resultCode": "SUCCESS",
"errorCode": null,
"errorMessage": null,
"membershipCoupons":
[
{
"membershipId": "32021428",
"coupons":
[
{
"offerId": "000C291EE8241ED4AAF43058D8564910",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D8564910Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D8564910High.jpg"
}
],
"endTime": 1423353600000,
"activationDate": 1423579699407,
"redemption": null
},
{
"offerId": "000C291EE8241ED4AAF43058D857A910",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D857A910Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D857A910High.jpg"
}
],
"endTime": 1423353600000,
"activationDate": 1423579703400,
"redemption": null
},
{
"offerId": "000C291EE8241ED4AAF43058D8608910",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D8608910Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D8608910High.jpg"
}
],
"endTime": 1423353600000,
"activationDate": 1423579706707,
"redemption": null
},
{
"offerId": "000C291EE8241ED4AAF43058D862E910",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D862E910Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D862E910High.jpg"
}
],
"endTime": 1423353600000,
"activationDate": 1423579710047,
"redemption": null
},
{
"offerId": "000C291EE8241ED4AAF43058D87A0910",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D87A0910Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D87A0910High.jpg"
}
],
"endTime": 1423353600000,
"activationDate": 1423579713540,
"redemption": null
},
{
"offerId": "000C291EE8241ED4AAF43058D877E910",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D877E910Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D877E910High.jpg"
}
],
"endTime": 1423353600000,
"activationDate": 1423579717533,
"redemption": null
},
{
"offerId": "000C291EE8241ED4AAF43058D87B8910",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D87B8910Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D87B8910High.jpg"
}
],
"endTime": 1423353600000,
"activationDate": 1423579721123,
"redemption": null
},
{
"offerId": "000C291EE8241ED4AAF43058D8870910",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D8870910Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D8870910High.jpg"
}
],
"endTime": 1423353600000,
"activationDate": 1423579724430,
"redemption": null
},
{
"offerId": "000C297765971EE4A8C22C6999219BA4",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201504_003/000C297765971EE4A8C22C6999219BA4Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201504_003/000C297765971EE4A8C22C6999219BA4High.jpg"
}
],
"endTime": 1425168000000,
"activationDate": 1423136616203,
"redemption": null
},
{
"offerId": "000C297765971EE4A8C22C699921FBA4",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201504_003/000C297765971EE4A8C22C699921FBA4Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201504_003/000C297765971EE4A8C22C699921FBA4High.jpg"
}
],
"endTime": 1425168000000,
"activationDate": 1423139501440,
"redemption": null
},
{
"offerId": "000C297765971EE4A8C22C6999233BA4",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201504_003/000C297765971EE4A8C22C6999233BA4Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201504_003/000C297765971EE4A8C22C6999233BA4High.jpg"
}
],
"endTime": 1425168000000,
"activationDate": 1423215586673,
"redemption": null
}
]
},
{
"membershipId": "8315319211",
"coupons":
[
{
"offerId": "000C291EE8241ED4AAF43058D85CA910",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D85CA910Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D85CA910High.jpg"
}
],
"endTime": 1423353600000,
"activationDate": null,
"redemption": null
},
{
"offerId": "000C291EE8241ED4AAF43058D85F6910",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D85F6910Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D85F6910High.jpg"
}
],
"endTime": 1423353600000,
"activationDate": null,
"redemption": null
},
{
"offerId": "000C291EE8241ED4AAF43058D85E2910",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D85E2910Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D85E2910High.jpg"
}
],
"endTime": 1423353600000,
"activationDate": null,
"redemption": null
},
{
"offerId": "000C291EE8241ED4AAF43058D85FC910",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D85FC910Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D85FC910High.jpg"
}
],
"endTime": 1423353600000,
"activationDate": null,
"redemption": null
},
{
"offerId": "000C291EE8241ED4AAF43058D8776910",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D8776910Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D8776910High.jpg"
}
],
"endTime": 1423353600000,
"activationDate": null,
"redemption": null
},
{
"offerId": "000C291EE8241ED4AAF43058D87A8910",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D87A8910Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D87A8910High.jpg"
}
],
"endTime": 1423353600000,
"activationDate": null,
"redemption": null
},
{
"offerId": "000C291EE8241ED4AAF43058D87B6910",
"description": "nora",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D87B6910Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D87B6910High.jpg"
}
],
"endTime": 1423353600000,
"activationDate": null,
"redemption": null
},
{
"offerId": "000C291EE8241ED4AAF43058D87D0910",
"description": "nora.",
"graphics":
[
{
"width": 400,
"height": 200,
"quality": "Low",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D87D0910Low.jpg"
},
{
"width": 900,
"height": 600,
"quality": "High",
"url": "https://site/02_201506_011/000C291EE8241ED4AAF43058D87D0910High.jpg"
}
],
"endTime": 1423353600000,
"activationDate": null,
"redemption": null
}
]
}
]
}
I have something that works for both memberId's but I want to parameterize so that I pick only the offerId's for a parameter I have in a session that I usually reference like this ${medlem}, I use Scala.
This works:
.check(jsonPath("$.membershipCoupons[*].coupons[?(#.activationDate==null)].offerId").findAll.optional.saveAs("itemList"))
But how can I say this with a parameter pointing to a specific memberId something like this:
.check(jsonPath("$.membershipCoupons[membershipId[${medlem}]].coupons[?(#.activationDate==null)].offerId").findAll.optional.saveAs("itemList"))
I think you need to split operation on 2 steps:
arrayMembershipId = $.membershipCoupons[*].membershipId
n = getIndex(membershipIdArray, yourcode)
arrayOffer = membershipCoupons[n].coupons[?(#.activationDate==null)].offerId