I have a query like below
query {
heroes {
node {
name
}
endCursor
}
}
I am trying to understand how GraphQL can handle the error handling and return partial response. I looked at https://github.com/graphql/dataloader/issues/169 and tried to create a resolver like below;
{
Query: {
heroes: async (_) => {
const heroesData = await loadHeroesFromDataWarehouse();
return {
endCursor: heroesData.endCursor;
node: heroesData.map(h => h.name === 'hulk' ? new ApolloError('Hulk is too powerful') : h)
}
}
}
}
I was hoping it would resolve something like below;
{
"errors": [
{
"message": "Hulk is too powerful",
"path": [
"heroes", "1"
],
}
],
"data": {
"heroes": [
{
"name": "spiderman"
},
null,
{
"name": "ironman"
}
]
}
}
but it is completely failing making the heroes itself null like below;
{
"errors": [
{
"message": "Hulk is too powerful",
"path": [
"heroes"
],
}
],
"data": {
"heroes": null
}
}
How can I make resolver to return me the desired partial response?
Found the solution, basically we need a resolver to resolve the edge model itself;
{
Query: {
heroes: (_) => loadHeroesFromDataWarehouse()
},
HeroesEdge {
node: async (hero) => hero.name === 'hulk' ? new ApolloError('Hulk is too powerful') : hero
}
}
Related
I am using the following query:
query myOrgRepos {
organization(login: "COMPANY_NAME") {
repositories(first: 100) {
edges {
node {
name
defaultBranchRef {
target {
... on Commit {
history(after: "2021-01-01T23:59:00Z", before: "2023-02-06T23:59:00Z", author: { emails: "USER_EMAIL" }) {
edges {
node {
oid
}
}
}
}
}
}
}
}
}
}
}
But with accurate names for the orginization and emails, and am persistantly getting the following error for every repo.
{
"type": "INVALID_CURSOR_ARGUMENTS",
"path": [
"organization",
"repositories",
"edges",
20,
"node",
"defaultBranchRef",
"target",
"history"
],
"locations": [
{
"line": 10,
"column": 29
}
],
"message": "`2021-01-01T23:59:00Z` does not appear to be a valid cursor."
},
If I remove the after field, it works just fine. However, I kind of need it. Acording to all the docs that I have read both after and before take the same timestamp. Can't tell where I am going wrong here.
I have tried:
to narrow the gap between before and after
return only a single repository
remove after (works fine without it)
I tried following the offical Shopify Documentation for retrieving ProductMedia.
My Query looks like this:
query getProductMediaById($id: ID!) {
product(id: $id) {
id
media(first: 10) {
edges {
node {
mediaContentType
alt
...mediaFieldsByType
}
}
}
}
}
fragment mediaFieldsByType on Media {
... on ExternalVideo {
id
embeddedUrl
}
... on MediaImage {
image {
...imageAttributes
}
}
... on Model3d {
sources {
url
mimeType
format
filesize
}
}
... on Video {
sources {
url
mimeType
format
height
width
}
}
}
fragment imageAttributes on Image {
altText
url
}
The only thing where I diverged from the official documentation is to put the image attributes to another fragment for code reuse.
But when I try to execute the query I get the following response:
{
"data": {
"product": {
"__typename": "Product",
"id": "Z2lkOi8vc2hvcGlmeS9Qcm9kdWN0LzY3NjcyOTczMzEzMDU=",
"media": {
"__typename": "MediaConnection",
"edges": [
{
"__typename": "MediaEdge",
"node": {
"__typename": "MediaImage",
"mediaContentType": "IMAGE",
"alt": ""
}
}
]
}
}
},
"loading": false,
"networkStatus": 7
}
Or to put it to words my response doesn't contain any information from the mediaFieldsByType fragment.
Any Idea what I'm doing wrong?
I have a collection "Owners" and I want to return a list of "Owner" matching a filter (any filter), plus the count of "Pet" from the "Pets" collection for that owner, except I don't want the dead pets. (made up example)
I need the returned documents to look exactly like an "Owner" document with the addition of the "petCount" field because I'm using Java Pojos with the Mongo Java driver.
I'm using AWS DocumentDB that does not support $lookup with filters yet. If it did I would use this and I'd be done:
db.Owners.aggregate( [
{ $match: {_id: UUID("b13e733d-2686-4266-a686-d3dae6501887")} },
{ $lookup: { from: 'Pets', as: 'pets', 'let': { ownerId: '$_id' }, pipeline: [ { $match: { $expr: { $ne: ['$state', 'DEAD'] } } } ] } },
{ $addFields: { petCount: { $size: '$pets' } } },
{ $project: { pets: 0 } }
]).pretty()
But since it doesn't this is what I got so far:
db.Owners.aggregate( [
{ $match: {_id: { $in: [ UUID("cbb921f6-50f8-4b0c-833f-934998e5fbff") ] } } },
{ $lookup: { from: 'Pets', localField: '_id', foreignField: 'ownerId', as: 'pets' } },
{ $unwind: { path: '$pets', preserveNullAndEmptyArrays: true } },
{ $match: { 'pets.state': { $ne: 'DEAD' } } },
{ "$group": {
"_id": "$_id",
"doc": { "$first": "$$ROOT" },
"pets": { "$push": "$pets" }
}
},
{ $addFields: { "doc.petCount": { $size: '$pets' } } },
{ $replaceRoot: { "newRoot": "$doc" } },
{ $project: { pets: 0 } }
]).pretty()
This works perfectly, except if an Owner only has "DEAD" pets, then the owner doesn't get returned because all the "document copies" got filtered out by the $match. I'd need the parent document to be returned with petCount = 0 when ALL of them are "DEAD". I cannot figure out how to do this.
Any ideas?
These are the supported operations for DocDB 4.0 https://docs.amazonaws.cn/en_us/documentdb/latest/developerguide/mongo-apis.html
EDIT: update to use $filter as $reduce not supported by aws document DB
You can use $filter to keep only not DEAD pets in the lookup array, then count the size of the remaining array.
Here is the Mongo playground for your reference.
$reduce version
You can use $reduce in your aggregation pipeline to to a conditional sum for the state.
Here is Mongo playground for your reference.
As of January 2022, Amazon DocumentDB added support for $reduce, the solution posted above should work for you.
Reference.
When i try to download a file from API Graph accesing to Drive or Sites with javascript on SPFx this return undefined.
my webpart code:
import { Version } from '#microsoft/sp-core-library';
import {
BaseClientSideWebPart,
IPropertyPaneConfiguration,
PropertyPaneTextField
} from '#microsoft/sp-webpart-base';
import * as strings from 'Docx2PdfWebPartStrings';
import { MSGraphClient } from '#microsoft/sp-http';
export interface IDocx2PdfWebPartProps {
description: string;
}
export default class Docx2PdfWebPart extends BaseClientSideWebPart<IDocx2PdfWebPartProps> {
public async render(): Promise<void> {
const client: MSGraphClient = await this.context.msGraphClientFactory.getClient();
var tenant = 'test';
var siteID = `${tenant}.sharepoint.com,12adb250-26f4-4dbb-9545-71d029bad763,8fdc3f56-2d6d-42d9-9a4d-d684e73c341e`;
var fileID = '01MBNFB7EIQLARTATNE5G3XDJNYBD2A3IL';
var fileName = 'Test.docx';
//This work
var site = await client.api(`/sites/${tenant}.sharepoint.com:/sites/dev:/drive?$select=id,weburl`).get();
console.log(site);
try {
//This not work
var fileFromDrive = await client.api(`/drive/root:/${fileName}:/content?format=pdf`).get();
console.log(fileFromDrive);
var fileFromSite = await client.api(`/sites/${siteID}/drive/items/${fileID}/content?format=pdf`).get();
console.log(fileFromSite);
} catch (error) {
console.log(error);
}
this.domElement.innerHTML = `<h1>Hola Mundo</h1>`;
}
protected get dataVersion(): Version {
return Version.parse('1.0');
}
protected getPropertyPaneConfiguration(): IPropertyPaneConfiguration {
return {
pages: [
{
header: {
description: strings.PropertyPaneDescription
},
groups: [
{
groupName: strings.BasicGroupName,
groupFields: [
PropertyPaneTextField('description', {
label: strings.DescriptionFieldLabel
})
]
}
]
}
]
};
}
}
The chrome console log
But when i use Graph Explorer it works correctly
This is my package-solution.json
{
"$schema": "https://developer.microsoft.com/json-schemas/spfx-build/package-solution.schema.json",
"solution": {
"name": "docx-2-pdf-client-side-solution",
"id": "f4b5db4f-d9ff-463e-b62e-0cc9c9e94089",
"version": "1.0.0.0",
"includeClientSideAssets": true,
"skipFeatureDeployment": true,
"isDomainIsolated": false,
"webApiPermissionRequests": [
{
"resource": "Microsoft Graph",
"scope": "Sites.Read.All"
},
{
"resource": "Microsoft Graph",
"scope": "Files.Read.All"
},
{
"resource": "Microsoft Graph",
"scope": "Files.ReadWrite.All"
},
{
"resource": "Microsoft Graph",
"scope": "Sites.ReadWrite.All"
}
]
},
"paths": {
"zippedPackage": "solution/docx-2-pdf.sppkg"
}
}
I use the following articles
https://learn.microsoft.com/en-us/graph/api/driveitem-get-content?view=graph-rest-1.0&tabs=javascript
https://learn.microsoft.com/en-us/graph/api/driveitem-get-content-format?view=graph-rest-1.0&tabs=javascript#code-try-1
Try using the callback property instead of await:
client.api(`/drive/root:/${fileName}:/content?format=pdf`).get((err, response) => console.log("your response:", err, response));
I've been having troubles with Elastic Search (ES) dynamic mappings. Seems like I'm in a catch-22. https://www.elastic.co/guide/en/elasticsearch/guide/current/custom-dynamic-mapping.html
The main goal is to store everything as a string that comes into ES.
What I've tried:
In ES you can't create a dynamic mapping until the index has been
created. Okay, makes sense.
I can't create an empty index, so if
the first item sent into the index is not a string, I can't
re-assign it... I won't know what type of object with be the first
item in the index, it could be any type, due to how the the app accepts a variety of objects/events.
So if I can't create the mapping ahead of time, and I can't insert an empty index to create the mapping, and I can't change the mapping after the fact, how do I deal with the first item if its NOT a string???
Here's what I'm currently doing (using the Javascript Client).
createESIndex = function (esClient){
esClient.index({
index: 'timeline-2015-11-21',
type: 'event',
body: event
},function (error, response) {
if (error) {
logger.log(logger.SEVERITY.ERROR, 'acceptEvent elasticsearch create failed with: '+ error + " req:" + JSON.stringify(event));
console.log(logger.SEVERITY.ERROR, 'acceptEvent elasticsearch create failed with: '+ error + " req:" + JSON.stringify(event));
res.status(500).send('Error saving document');
} else {
res.status(200).send('Accepted');
}
});
}
esClientLookup.getClient( function(esClient) {
esClient.indices.putTemplate({
name: "timeline-mapping-template",
body:{
"template": "timeline-*",
"mappings": {
"event": {
"dynamic_templates": [
{ "timestamp-only": {
"match": "#timestamp",
"match_mapping_type": "date",
"mapping": {
"type": "date",
}
}},
{ "all-others": {
"match": "*",
"match_mapping_type": "string",
"mapping": {
"type": "string",
}
}
}
]
}
}
}
}).then(function(res){
console.log("put template response: " + JSON.stringify(res));
createESIndex(esClient);
}, function(error){
console.log(error);
res.status(500).send('Error saving document');
});
});
Index templates to the rescue !! That's exactly what you need, the idea is to create a template of your index and as soon as you wish to store a document in that index, ES will create it for you with the mapping you gave (even dynamic ones)
curl -XPUT localhost:9200/_template/my_template -d '{
"template": "index_name_*",
"settings": {
"number_of_shards": 1
},
"mappings": {
"type_name": {
"dynamic_templates": [
{
"strings": {
"match": "*",
"match_mapping_type": "*",
"mapping": {
"type": "string"
}
}
}
],
"properties": {}
}
}
}'
Then when you index anything in an index whose name matches index_name_*, the index will be created with the dynamic mapping above.
For instance:
curl -XPUT localhost:9200/index_name_1/type_name/1 -d '{
"one": 1,
"two": "two",
"three": true
}'
That will create a new index called index_name_1 with a mapping type for type_name where all properties are string. You can verify that with
curl -XGET localhost:9200/index_name_1/_mapping/type_name
Response:
{
"index_name_1" : {
"mappings" : {
"type_name" : {
"dynamic_templates" : [ {
"strings" : {
"mapping" : {
"type" : "string"
},
"match" : "*",
"match_mapping_type" : "*"
}
} ],
"properties" : {
"one" : {
"type" : "string"
},
"three" : {
"type" : "string"
},
"two" : {
"type" : "string"
}
}
}
}
}
}
Note that if you're willing to do this via the Javascript API, you can use the indices.putTemplate call.
export const user = {
email: {
type: 'text',
},
};
export const activity = {
date: {
type: 'text',
},
};
export const common = {
name: {
type: 'text',
},
};
import { Client } from '#elastic/elasticsearch';
import { user } from './user';
import { activity } from './activity';
import { common } from './common';
export class UserDataFactory {
private schema = {
...user,
...activity,
...common,
relation_type: {
type: 'join',
eager_global_ordinals: true,
relations: {
parent: ['activity'],
},
},
};
constructor(private client: Client) {
Object.setPrototypeOf(this, UserDataFactory.prototype);
}
async create() {
const settings = {
settings: {
analysis: {
normalizer: {
useLowercase: {
filter: ['lowercase'],
},
},
},
},
mappings: {
properties: this.schema,
},
};
const { body } = await this.client.indices.exists({
index: ElasticIndex.UserDataFactory,
});
await Promise.all([
await (async (client) => {
await new Promise(async function (resolve, reject) {
if (!body) {
await client.indices.create({
index: ElasticIndex.UserDataFactory,
});
}
resolve({ body });
});
})(this.client),
]);
await this.client.indices.close({ index: ElasticIndex.UserDataFactory });
await this.client.indices.putSettings({
index: ElasticIndex.UserDataFactory,
body: settings,
});
await this.client.indices.open({
index: ElasticIndex.UserDataFactory,
});
await this.client.indices.putMapping({
index: ElasticIndex.UserDataFactory,
body: {
dynamic: 'strict',
properties: {
...this.schema,
},
},
});
}
}
wrapper.ts
class ElasticWrapper {
private _client: Client = new Client({
node: process.env.elasticsearch_node,
auth: {
username: 'elastic',
password: process.env.elasticsearch_password || 'changeme',
},
ssl: {
ca: process.env.elasticsearch_certificate,
rejectUnauthorized: false,
},
});
get client() {
return this._client;
}
}
export const elasticWrapper = new ElasticWrapper();
index.ts
new UserDataFactory(elasticWrapper.client).create();