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  5. Querying Magic Firewall Samples with GraphQL

Querying Magic Firewall Samples with GraphQL

In this example, we are going to use the GraphQL Analytics API to query for Magic Firewall Samples over a specified time period.

The following API call will request Magic Firewall Samples over a one hour period, and output the requested fields. Be sure to replace CLOUDFLARE_ACCOUNT_ID, CLOUDFLARE_EMAIL, and CLOUDFLARE_API_KEY with your zone tag and API credentials, and adjust the datetime_geg and datetime_leq values to your liking.

​​ API Call

echo '{ "query":
  "query MFWActivity {
    viewer {
      accounts(filter: { accountTag: $accountTag }) {
        magicFirewallSamplesAdaptiveGroups(
          filter: $filter
          limit: 10
          orderBy: [datetimeFiveMinute_DESC]
        ) {
          sum {
            bits
            packets
          }
          dimensions {
            datetimeFiveMinute
            ruleId
          }
        }
      }
    }
  }",
  "variables": {
    "accountTag": "CLOUDFLARE_ACCOUNT_ID",
    "filter": {
      "datetime_geq": "2022-07-24T11:00:00Z",
      "datetime_leq": "2022-07-24T11:10:00Z"
    }
  }
}' | tr -d '\n' | curl \
  -X POST \
  -H "Content-Type: application/json" \
  -H "X-Auth-Email: CLOUDFLARE_EMAIL" \
  -H "X-Auth-key: CLOUDFLARE_API_KEY" \
  -s \
  -d @- \
  https://api.cloudflare.com/client/v4/graphql/

The returned values represent the total number of packets and bits received during the five minute interval for a particular rule. The result will be in JSON (as requested), so piping the output to jq will make it easier to read, like in the following example:

... | curl \
  -X POST \
  -H "Content-Type: application/json" \
  -H "X-Auth-Email: CLOUDFLARE_EMAIL" \
  -H "X-Auth-key: CLOUDFLARE_API_KEY" \
  -s \
  -d @- \
  https://api.cloudflare.com/client/v4/graphql/ | jq .

#=> {

#=>   "data": {

#=>     "viewer": {

#=>       "accounts": [

#=>         {

#=>           "magicFirewallSamplesAdaptiveGroups": [

#=>             {

#=>               sum: { bits:  327680, packets: 16384 },

#=>               dimensions: {

#=>                 datetimeFiveMinute: '2021-05-12T22:00-00:00',

#=>                 ruleId: 'bdfa8f8f0ae142b4a70ef15f6160e532'

#=>               }

#=>             },

#=>             {

#=>               sum: { bits:  360448, packets: 8192 },

#=>               dimensions: {

#=>                 datetimeFiveMinute: '2021-05-12T22:05-00:00',

#=>                 ruleId: 'bdfa8f8f0ae142b4a70ef15f6160e532'

#=>               }

#=>             },

#=>             {

#=>               sum: { bits:  327680, packets: 8192 },

#=>               dimensions: {

#=>                 datetimeFiveMinute: '2021-05-12T22:05-00:00',

#=>                 ruleId: 'bdfa8f8f0ae142b4a70ef15f6160e532'

#=>               }

#=>             },

#=>             {

#=>               sum: { bits:  360448, packets: 8192 },

#=>               dimensions: {

#=>                 datetimeFiveMinute: '2021-05-12T22:20-00:00',

#=>                 ruleId: 'bdfa8f8f0ae142b4a70ef15f6160e532'

#=>               }

#=>             },

#=>             {

#=>               sum: { bits:  327680, packets: 8192 },

#=>               dimensions: {

#=>                 datetimeFiveMinute: '2021-05-12T22:20-00:00',

#=>                 ruleId: 'bdfa8f8f0ae142b4a70ef15f6160e532'

#=>               }

#=>             }

#=>           ]

#=>         }

#=>       ]

#=>     }

#=>   },

#=>   "errors": null

#=> }