allocatedAnalyses

Returns all analyses that the analyst is allocated to

allocatedAnalyses(
  page: Int
  limit: Int
): ProjectCollection!

Arguments

allocatedAnalyses.page ● Int scalar

allocatedAnalyses.limit ● Int scalar

Type

ProjectCollection object

ProjectCollection type

Example request

This generated query uses placeholders for required values. Replace them with values available to your API key before running it.

Before you run it

The API key must belong to an analyst allocated to at least one analysis.

cURL

curl --request POST https://api.convisoappsec.com/graphql \
  --header "x-api-key: $CONVISO_API_KEY" \
  --header "content-type: application/json" \
  --data '{"query":"query GetAllocatedAnalyses($page: Int, $limit: Int) {\n  allocatedAnalyses(page: $page, limit: $limit) { collection { id label status } metadata { currentPage limitValue totalCount } }\n}","variables":{"page":1,"limit":20}}'

JavaScript

const response = await fetch('https://api.convisoappsec.com/graphql', {
  method: 'POST',
  headers: {
    'content-type': 'application/json',
    'x-api-key': process.env.CONVISO_API_KEY,
  },
  body: JSON.stringify({
    query: "query GetAllocatedAnalyses($page: Int, $limit: Int) {\n  allocatedAnalyses(page: $page, limit: $limit) { collection { id label status } metadata { currentPage limitValue totalCount } }\n}",
    variables: {
    "page": 1,
    "limit": 20
},
  }),
});

const { data, errors } = await response.json();

if (errors) throw new Error(errors.map(({ message }) => message).join(', '));
console.log(data);

Python

import json
import os
import requests

response = requests.post(
    'https://api.convisoappsec.com/graphql',
    headers={
        'content-type': 'application/json',
        'x-api-key': os.environ['CONVISO_API_KEY'],
    },
    json={
        'query': "query GetAllocatedAnalyses($page: Int, $limit: Int) {\n  allocatedAnalyses(page: $page, limit: $limit) { collection { id label status } metadata { currentPage limitValue totalCount } }\n}",
        'variables': json.loads("{\"page\":1,\"limit\":20}"),
    },
    timeout=30,
)
response.raise_for_status()

payload = response.json()
if payload.get('errors'):
    raise RuntimeError(payload['errors'])

print(payload['data'])