What exactly is the best practice for matching JSON:API data collections with their respective includes. Considering the following code below....
What if I wanted to loop through each venue and display the Owners full information for each Venue Record. Does JSON:API expect me to just search the include array for the matching Owner Record
find(included,data[$i].relationships.owner.data.id);
Would find() loop through the included array to look for the owner that has the matching id as the collection items owner in the relationships object ?
$(data).each(function(item){
var owner = find(included,'owner', item.relationships.owner.data.id)
})
I have not found a resource that explains this or perhapes I am mis understanding the point of json:api. If someone can explain this or point to a resource that relates to my question. I would appreciate it.
{
"links": {
"self": "http://127.0.0.1/api/venues?include=owner"
},
"data": [
{
"id": "5c5b49188fd33c7a989ba9b6",
"type": "venues",
"attributes": {
"name": "Kreiger - Smith",
"address": "69675 Reilly Vista",
"location": {
"type": "Point",
"coordinates": [
-112.110492,
36.098948
]
},
"events": [
{
"_id": "ad52825a8f4812e92f87b8c6",
"name": "Cool Awesome Event!",
"user": "b3daa77b4c04a9551b8781d0",
"id": "ad52825a8f4812e92f87b8c6"
}
],
"created_at": "2019-02-07T14:27:13.207Z",
"updated_at": "2019-02-07T14:27:13.207Z"
},
"relationships": {
"owner": {
"data": {
"id": "b3daa77b4c04a9551b8781d0",
"type": "users"
}
}
}
},
{
"id": "5c5b49188fd33c7a989ba9b7",
"type": "venues",
"attributes": {
"name": "Oberbrunner Inc",
"address": "1132 Kenyon Stravenue",
"location": {
"type": "Point",
"coordinates": [
-112.110492,
36.098948
]
},
"events": [
{
"_id": "ad52825a8f4812e92f87b8c6",
"name": "Cool Awesome Event!",
"user": "b3daa77b4c04a9551b8781d0",
"id": "ad52825a8f4812e92f87b8c6"
}
],
"created_at": "2019-02-07T14:27:13.207Z",
"updated_at": "2019-02-07T14:27:13.207Z"
},
"relationships": {
"owner": {
"data": {
"id": "b3daa77b4c04a9551b8781d0",
"type": "users"
}
}
}
},
{
"id": "5c5b49188fd33c7a989ba9b8",
"type": "venues",
"attributes": {
"name": "Gibson - Muller",
"address": "8457 Hailie Canyon",
"location": {
"type": "Point",
"coordinates": [
-112.110492,
36.098948
]
},
"events": [
{
"_id": "ad52825a8f4812e92f87b8c6",
"name": "Cool Awesome Event!",
"user": "b3daa77b4c04a9551b8781d0",
"id": "ad52825a8f4812e92f87b8c6"
}
],
"created_at": "2019-02-07T14:27:13.208Z",
"updated_at": "2019-02-07T14:27:13.208Z"
},
"relationships": {
"owner": {
"data": {
"id": "a1881c06eec96db9901c7bbf",
"type": "users"
}
}
}
}
],
"included": [
{
"id": "b3daa77b4c04a9551b8781d0",
"type": "users",
"attributes": {
"username": "killerjohn",
"firstname": "John",
"lastname": "Chapman"
}
},
{
"id": "a1881c06eec96db9901c7bbf",
"type": "users",
"attributes": {
"username": "numerical25",
"firstname": "Billy",
"lastname": "Gordon"
}
}
]
}
This is my best possible solution. But is there a better way ? Seems like alot more coding just to find a collections associated included data
axios.get('http://127.0.0.1:3000/api/venues?include=owner').then(function(response) {
var venues = response.data.data;
var data = response.data;
for(x in venues) {
var owner = data.included.find(function(element) {
if(element.id == venues[x].relationships.owner.data.id) {
return element;
}
});
}
});
Related
Got thrown into a Typescript/Mongodb project and am having some trouble getting started. I've been asked to convert data from
{
"_id": {
"$oid": "636c0a8dce0eb36dc13e63b3"
},
"status": "active",
"companies": [
{
"$oid": "5f64bd6785fad3e83771bb4f"
}
],
"whitelists": [],
"taxonomies": [
{
"$oid": "6080538565c2036dbeadcdfa"
},
{
"$oid": "6080538765c2036dbeadce07"
},
{
"$oid": "6080538d65c2036dbeadce44"
},
{
"$oid": "6080538d65c2036dbeadce46"
}
],
"itemType": "unit",
"attributes": [
{
"_id": {
"$oid": "6384d2bdf29f40634fe77db4"
},
"type": "ingredients:statement",
"key": "0",
"parent": "nutrition:panel#0",
"uid": "ingredients:statement#0",
"value": {
"footnotes": [],
"statement": "ingredients: water, butter, lemon juice, wheat flour, egg yolks, sea salt, xanthan gum, turmeric, carotenes."
}
},
{
"_id": {
"$oid": "6384d2bdf29f40634fe77db5"
},
"type": "allergens",
"key": "0",
"parent": "nutrition:panel#0",
"uid": "allergens#0",
"value": {
"type": "contains",
"statement": "contains something"
}
},
{
"_id": {
"$oid": "6384d2bdf29f40634fe77db5"
},
"type": "allergens",
"key": "0",
"parent": "nutrition:panel#0",
"uid": "allergens#0",
"value": {
"type": "something",
"statement": "may contain something"
}
},
{
"_id": {
"$oid": "6384d2bdf29f40634fe77db6"
},
"type": "variants:flavors:raw",
"key": "0",
"parent": "nutrition:panel#0",
"uid": "variants:flavors:raw#0",
"value": [
"hollandaise sauce"
]
}
],
"dataUpdatedDate": {
"$date": {
"$numberLong": "1668025007811"
}
}
}
To something like this, merging objects with the same "type" "b"
{
"_id": {
"$oid": "636c0a8dce0eb36dc13e63b3"
},
"status": "active",
"companies": [
{
"$oid": "5f64bd6785fad3e83771bb4f"
}
],
"whitelists": [],
"taxonomies": [
{
"$oid": "6080538565c2036dbeadcdfa"
},
{
"$oid": "6080538765c2036dbeadce07"
},
{
"$oid": "6080538d65c2036dbeadce44"
},
{
"$oid": "6080538d65c2036dbeadce46"
}
],
"itemType": "unit",
"attributes": [
{
"_id": {
"$oid": "6384d2bdf29f40634fe77db4"
},
"type": "ingredients:statement",
"key": "0",
"parent": "nutrition:panel#0",
"uid": "ingredients:statement#0",
"value": {
"footnotes": [],
"statement": "ingredients: water, butter, lemon juice, wheat flour, egg yolks, sea salt, xanthan gum, turmeric, carotenes."
}
},
{
"_id": {
"$oid": "6384d2bdf29f40634fe77db5"
},
"type": "allergens",
"key": "0",
"parent": "nutrition:panel#0",
"uid": "allergens#0",
"value": [{
"type": "contains",
"statement": "contains something"
},
{
"type": "something",
"statement": "may contain something"
}
]},
{
"_id": {
"$oid": "6384d2bdf29f40634fe77db6"
},
"type": "variants:flavors:raw",
"key": "0",
"parent": "nutrition:panel#0",
"uid": "variants:flavors:raw#0",
"value": [
"hollandaise sauce"
]
}
],
"dataUpdatedDate": {
"$date": {
"$numberLong": "1668025007811"
}
}
}
My background is php/mysql. I understand the basics here just can't put it together. Any help would be greatly appreciated.
Thanks
I have the basics of the typescript started to grab all the appropriate documents. I don't know how to go about combining some of the data and updating it back to mongo
Here is the basic code I am starting with
makeScript({
module,
db: true,
init: async _argv => {
await Pv2.find({
attributes: {
$elemMatch: {
type: 'allergens'
},
},
})
.limit(10)
.cursor()
.eachAsync(async (oldPv2s: Pv2Doc | Pv2Doc[]) => {
// not sure what goes here
});
}
});
For the store API endpoint /store-api/product is it possible to filter on the properties of a product? Not the defaults such as whether it's active or stock levels, but the properties we've defined on the product, for example colour or farbe? For the search endpoint it supports passing in a list of properties ID's which this one does not.
None of the below queries work, and return the various errors below or Call to a member function buildAccessor() on null.
{
"limit": 40,
"filter": [
{
"type": "contains",
"field": "Farbe",
"value": "red"
}
]
}
"Field \"Farbe\" in entity \"product\" was not found."
{
"limit": 40,
"filter": [
{
"type": "contains",
"field": "properties.Farbe",
"value": "red"
}
]
}
"Field \"Farbe\" in entity \"property_group_option\" was not found."
You can combine filters for the name of the property value and their respective group in a multi filter. The following example will only give you products that have the "shoe-color" property with the value "coral".
{
"limit": 1,
"includes": {
"product": ["id", "productNumber", "properties"],
"property_group_option": ["name", "group"],
"property_group": ["name"]
},
"associations": {
"properties": {
"associations": {
"group": []
}
}
},
"filter": [
{
"type": "multi",
"operator": "and",
"queries": [
{
"type": "equals",
"field": "properties.group.name",
"value": "shoe-color"
},
{
"type": "equals",
"field": "properties.name",
"value": "coral"
}
]
}
]
}
Example response:
{
"entity": "product",
"total": 1,
"aggregations": [],
"page": 1,
"limit": 1,
"elements": [
{
"productNumber": "6bbfe1f608504c9b9a7bf92d6a071734",
"properties": [
{
"name": "coral",
"group": {
"name": "shoe-color",
"apiAlias": "property_group"
},
"apiAlias": "property_group_option"
},
{
"name": "cotton",
"group": {
"name": "textile",
"apiAlias": "property_group"
},
"apiAlias": "property_group_option"
}
],
"id": "062ba988aa1840fa84371c9c43b2f838",
"apiAlias": "product"
}
],
"states": [],
"apiAlias": "dal_entity_search_result"
}
I want to join more than two collections in MongoDB . Is it possible to join?
I have 2 collections and I want to join them based by their ids
news collection
{
"lang": "ru",
"news": [{
"title": "title",
"content": "desc",
"image": "path",
"categoryId": {
"$oid": "6171499e0ba3d75082823c9a"
},
"createdAt": {
"$date": "2021-10-21T12:30:33.215Z"
},
"_id": {
"$oid": "61715d7990905adefcf314d1"
}
}]
}
and I have got newscategory collection like that
[
{
"lang": "ru",
"categories": [{
"name": "sdfsdsdcsdf",
"_id": {
"$oid": "6171499e0ba3d75082823c9a"
}
}]
},
{
"lang": "en",
"categories": [{
"name": "ooo",
"_id": {
"$oid": "61712980f8ee795c6a569dcb"
}
}, {
"name": "yuy",
"_id": {
"$oid": "61712980f8ee795c6a569dcc"
}
}, {
"name": "rtyrty",
"_id": {
"$oid": "61712980f8ee795c6a569dcd"
}
}]
}
]
Expected Output:
[
{
"_id": "61715d7990905adefcf314d0",
"lang": "ru",
"news": [
{
"title": "sdf",
"content": "sdf",
"image": "asdas",
"categoryId": "6171499e0ba3d75082823c9a",
"caregory": [
{
"name": "sdfsdsdcsdf",
"_id": "6171499e0ba3d75082823c9a"
},
]
"createdAt": "2021-10-21T12:30:33.215Z",
"_id": "61715d7990905adefcf314d1"
}
],
Match is based on both "category_id" and "categories._id".
How can I achieve result like that ?
Hello i am new in MongoDB and NodeJS. How can i sort this array of objects for example by ELO, GAMES_COUNT, TIME, users firstname etc. with MongoDB mongoose aggregate ?
Here is an examle:
"statistics": [
{"statistics": [
{
"type": "ELO",
"value": 1022
},
{
"type": "GAMES_COUNT",
"value": 5
},
{
"type": "TIME",
"value": 3112
},
],
"user": {
"_id": "1",
"firstName": "Pepa",
"lastName": "Novák",
}
},
{
"statistics": [
{
"type": "ELO",
"value": 1028
},
{
"type": "GAMES_COUNT",
"value": 4
},
{
"type": "TIME",
"value": 2151
},
],
"user": {
"_id": "2",
"firstName": "Václav",
"lastName": "Rupinsky"
}
}
]
I have a file with list of json blocks and am stuck with processing/Reading them in U-Sql and writing to a text file.
{
"id": "0001",
"type": "donut",
"name": "Cake",
"ppu": 0.55,
"batters":
{
"batter":
[
{ "id": "1001", "type": "Regular" },
{ "id": "1002", "type": "Chocolate" },
{ "id": "1003", "type": "Blueberry" },
{ "id": "1004", "type": "Devil's Food" }
]
},
"topping":
[
{ "id": "5001", "type": "None" },
{ "id": "5002", "type": "Glazed" },
{ "id": "5005", "type": "Sugar" },
{ "id": "5007", "type": "Powdered Sugar" },
{ "id": "5006", "type": "Chocolate with Sprinkles" },
{ "id": "5003", "type": "Chocolate" },
{ "id": "5004", "type": "Maple" }
]
}
{
"id": "0002",
"type": "nut",
"name": "ake",
"ppu": 1.55,
"batters":
{
"batter":
[
{ "id": "1001", "type": "Regular" },
{ "id": "1002", "type": "Chocolate" },
{ "id": "1003", "type": "Blueberry" },
{ "id": "1004", "type": "Devil's Food" }
]
},
"topping":
[
{ "id": "5001", "type": "None" },
{ "id": "5002", "type": "Glazed" },
{ "id": "5005", "type": "Sugar" },
{ "id": "5007", "type": "Powdered Sugar" },
{ "id": "5006", "type": "Chocolate with Sprinkles" },
{ "id": "5003", "type": "Chocolate" },
{ "id": "5004", "type": "Maple" }
]
}
{
"id": "0003",
"type": "test",
"name": "ake",
"ppu": 1.55,
"batters":
{
"batter":
[
]
},
"topping":
[
{ "id": "5003", "type": "Chocolate" },
{ "id": "5004", "type": "Maple" }
]
}
can someone help me on this.
REFERENCE ASSEMBLY [Newtonsoft.Json];
REFERENCE ASSEMBLY [Microsoft.Analytics.Samples.Formats];
DECLARE #Full_Path string = #"C:\Users\test\Desktop\File\JsonTest.json";
USING [Microsoft.Analytics.Samples.Formats];
#RawExtract =
EXTRACT
[RawString] string
FROM
#Full_Path
USING
Extractors.Text(delimiter:'\n', quoting : false);
#ParsedJSONLines =
SELECT JsonFunctions.JsonTuple([RawString]) AS JSONLine
FROM #RawExtract;
#StagedData =
SELECT
JSONLine["id"] AS Id,
JSONLine["name"] AS Name,
JSONLine["type"] AS Type,
JSONLine["ppu"] AS PPU,
JSONLine["batters"] AS Batter
FROM
#ParsedJSONLines;
DECLARE #Output_Path string = #"C:\Users\Test\Desktop\File\Test2.csv";
OUTPUT #StagedData
TO #Output_Path
USING Outputters.Csv();
Am receiving error while evaluating expression .
Error while evaluating expression JsonFunctions.JsonTuple(RawString)
You cant use an Text Extraxtor to extract Json, unless you use Json Lines.
Using the extractor will split the json and you will get the error.
Use JsonExtractor instead of Text extractor.
https://github.com/Azure/usql/blob/master/Examples/DataFormats/Microsoft.Analytics.Samples.Formats/Json/JsonExtractor.cs