I have a json as below
{
"Shop": [
{
"id": "1",
"Items": [
{
"Item": "Item1"
}
]
},
{
"id": "2",
"Items": [
{
"Item": "Item2"
}
]
},
{
"id": "3",
"Items": [
{
"Item": "Item3"
}
]
}
]
}
I would like to select all Items with just JsonPath. I have tried as following combinations but I did not get any values
$.[Shop[0], Shop[1], Shop[2]].Items
$.[Shop[0].Items, Shop[1].Items, Shop[2].Items]
Thank you in advance
If I understand correctly you are looking for * wildcard to select all elements in an array:
$.Shop[*].Items
Gives me:
[ [
{
"Item": "Item1"
} ], [
{
"Item": "Item2"
} ], [
{
"Item": "Item3"
} ] ]
Related
In my current JSON, I am getting an empty JSON object {} inside dummy_var5. The empty object is inside an array which is inside an object itself.
{
"dummy_var1": "abc",
"dummy_var2": [
{
"item": {
"action": "test",
"po": {
"id": "abc"
},
"ot": "test1",
"id": "1"
}
}
],
"dummy_var3": {
"dummy_var4": [
{
"name": "test",
"value": "test1"
},
{
"name": "test",
"value": "test1"
}
],
"name": "test2"
},
"dummy_var5": [
{
"ref": "test",
"name": "test1",
"type": null
},
{}
],
"dummy_var6": [
{
"role": "test",
"ref": "test1",
"partyDescription": "test2"
}
]
}
Considering this structure does not change, Is there any way to remove this via jolt. We tried using third party tool 'atlasmap' but couldn't achieve the desired result.
Expected output :-
{
"dummy_var1": "abc",
"dummy_var2": [
{
"item": {
"action": "test",
"po": {
"id": "abc"
},
"ot": "test1",
"id": "1"
}
}
],
"dummy_var3": {
"dummy_var4": [
{
"name": "test",
"value": "test1"
},
{
"name": "test",
"value": "test1"
}
],
"name": "test2"
},
"dummy_var5": [
{
"ref": "test",
"name": "test1",
"type": null
}
],
"dummy_var6": [
{
"role": "test",
"ref": "test1",
"partyDescription": "test2"
}
]
}
You can use this single shift transformation spec
[
{
"operation": "shift",
"spec": {
"*": "&", // the attributes other than "dummy_var5"
"dummy_var5": {
"*": {
"*": "&2.[&1].&"
}
}
}
}
]
the match "*":"&" of the line "*": "&2.[&1].&" returns the null value from the leaf node for this level, and so removes the innermost null object {}
I am going to write json schema to verify tree data.
Schema consisting of top root and block below.
There may be another block below the block.
Schema for validation.
schema = {
"$schema": "http://json-schema.org/draft-04/schema",
"$ref": "#/definitions/root",
"definitions":{
"root": {
"properties": {
"name": {
"type": "string"
},
"children": {
"type": "array",
"items": [
{"$ref":"#/definitions/block"}
]
}
},
"required": ["name", "children"]
},
"block": {
"properties": {
"name": {
"type": "string"
},
"children": {
"type": "array",
"items": [
{"$ref":"#/definitions/block"}
]
}
},
"required": ["name"]
}
}
}
Below is incorrect data for testing. The last name properties do not exist.
{
"name": "group8",
"children": [
{
"name": "group7",
"children": [
{
"name": "group6",
"children": [
{
"name": "group5",
"children": [
{ ###### wrong
"children": []
}
]
}
]
}
]
}
]
}
This data validates well, but it doesn't work on a slightly complex tree.
# Error: ValidationError: file /home/gulliver/.local/lib/python2.7/site-packages/jsonschema/validators.py line 934: 'name' is a required property #
{
"name": "group8",
"children": [
{
"name": "group7",
"children": [
{
"name": "group6",
"children": [
{
"name": "group12",
"children": [
{
"name": "group11",
"children": [
{
"name": "group10",
"children": []
}
]
}
]
},
{
"name": "group9",
"children": [
{
"name": "group5",
"children": [
{ ####### wrong
"children": []
}
]
}
]
}
]
}
]
},
{
"name": "group13",
"children": [
{
"name": "null1",
"children": []
}
]
}
]
}
It does not work when the data at the bottom of the tree is invalid.
My guess is that the branch splits and this happens, does anyone know why or how to fix it?
I tested using python and jsonschema.
When items is an array, it applies the subschema values to the same index location in the array in the instance.
For example, where you define...
"items": [
{"$ref":"#/definitions/block"}
]
only the first item in the array will be tested. It has nothing to do with deep nesting. For example, the follwing data is valid according to your schema...
{
"name": "group8",
"children": [
{
"name": "group7"
},
{
"something": "else",
"Not": "name"
}
]
}
(Live demo: https://jsonschema.dev/s/etFGE)
If you modify your use of items, then it will work like you expect:
"items": {"$ref":"#/definitions/block"}
(do this for both uses)
Live demo: https://jsonschema.dev/s/rk1OD
I have a single table in database like database table. I want to search a child from database and return a hierarchical JSON to a front end in order to create a tree. How can I do that in FLASK.
My expected JSON for mat should be like expected JSON
Since you have tagged your question with flask, this post assumes you are using Python as well. To format your database values in JSON string, you can query the db and then use recursion:
import sqlite3, collections
d = list(sqlite3.connect('file.db').cursor().execute("select * from values"))
def get_tree(vals):
_d = collections.defaultdict(list)
for a, *b in vals:
_d[a].append(b)
return [{'name':a, **({} if not (c:=list(filter(None, b))) else {'children':get_tree(b)})} for a, b in _d.items()]
import json
print(json.dumps(get_tree(d), indent=4))
Output:
[
{
"name": "AA",
"children": [
{
"name": "BB",
"children": [
{
"name": "EE",
"children": [
{
"name": "JJ",
"children": [
{
"name": "EEV"
},
{
"name": "FFW"
}
]
},
{
"name": "KK",
"children": [
{
"name": "HHX"
}
]
}
]
}
]
},
{
"name": "CC",
"children": [
{
"name": "FF",
"children": [
{
"name": "LL",
"children": [
{
"name": "QQY"
}
]
},
{
"name": "MM",
"children": [
{
"name": "RRV"
}
]
}
]
},
{
"name": "GG",
"children": [
{
"name": "NN",
"children": [
{
"name": "SSW"
}
]
}
]
}
]
},
{
"name": "DD",
"children": [
{
"name": "HH",
"children": [
{
"name": "OO",
"children": [
{
"name": "TTZ"
}
]
}
]
},
{
"name": "II",
"children": [
{
"name": "PP",
"children": [
{
"name": "UUW"
}
]
}
]
}
]
}
]
}
]
I have the following structure:
{
"hits":
[
{
"_index": "main"
},
{
"_index": "main",
"accordions": [
{
"id": "1",
"accordionBody": "body1",
"accordionInnerButtonTexts": [
"button11",
"button12"
]
},
{
"id": "2",
"accordionBody": "body2",
"accordionInnerButtonTexts": [
"button21",
"button22"
]
}
]
}
]
}
I want to get to this structure:
{
"index": "main"
}
{
"index": "main",
"accordions":
[
{
"id": "1",
"accordionBody": "body1",
"accordionInnerButtonTexts": [
"button11",
"button12"
]
},
{
"id": "2",
"accordionBody": "body2",
"accordionInnerButtonTexts": [
"button21",
"button22"
]
}
]
}
Which means that I always want to include the _index-field as index, and I want to include the whole accordions-list IF IT EXISTS in the object. Here is my attempt:
.hits[] | {index: ._index, accordions: recurse(.accordions[]?)}
It does not produce what I want:
{
"index": "main",
"accordions": {
"_index": "main"
}
}
{
"index": "main",
"accordions": {
"_index": "main",
"accordions": [
{
"id": "1",
"accordionBody": "body1",
"accordionInnerButtonTexts": [
"button11",
"button12"
]
},
{
"id": "2",
"accordionBody": "body2",
"accordionInnerButtonTexts": [
"button21",
"button22"
]
}
]
}
}
{
"index": "main",
"accordions": {
"id": "1",
"accordionBody": "body1",
"accordionInnerButtonTexts": [
"button11",
"button12"
]
}
}
{
"index": "main",
"accordions": {
"id": "2",
"accordionBody": "body2",
"accordionInnerButtonTexts": [
"button21",
"button22"
]
}
}
It seems to create a list of all different permutations given by mixing the objects. This is not what I want. What is the correct jq command, and what is my mistake?
The problem as stated does not require any recursion. Using your attempt as a model, one could in fact simply write:
.hits[]
| {index: ._index}
+ (if has("accordions") then {accordions} else {} end)
Or, with quite different semantics:
.hits[] | {index: ._index} + . | del(._index)
Trying to get unique values stored in items array for each group. somehow it's always mixed...
My JSON looks like this:
{
"start": 1534425916,
"stop": 1535030716,
"groups": [
{
"group": "transmission",
"data": {
"events": 665762,
},
"items": [
{
"item": "manualni",
"data": {
"events": 389158,
}
},
{
"item": "automaticka",
"data": {
"events": 276604,
}
}
]
},
{
"group": "vat",
"data": {
"events": 671924,
},
"items": [
{
"item": "ne",
"data": {
"events": 346221,
}
},
{
"item": "ano",
"data": {
"events": 325703,
}
}
]
}
]
}
Desired result is the following:
{
"id": "transmission",
"value": [
"manualni",
"automaticka",
]
}
{
"id": "vat",
"value": [
"ne",
"ano"
]
}
Tried with this filter on command line:
| jq '{id: .groups[].group, value: [.groups[].items[].item]}'
Which results in the above mentioned mixed up result:
{
"id": "transmission",
"value": [
"manualni",
"automaticka",
"ne",
"ano"
]
}
{
"id": "vat",
"value": [
"manualni",
"automaticka",
"ne",
"ano"
]
}
Any idea how to receive the uniquified values here? Thanks in advance!
This gets the desired result. I think the manual entry under .[] explains why it works.
jq '.groups[] | {"id": .group, "value": [.items[].item]}'