04 Forecasting

The workflow JSON

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{
  "name": "04 Forecasting",
  "nodes": [
    {
      "parameters": {
        "httpMethod": "GET",
        "path": "forecast/:region_id",
        "responseMode": "responseNode"
      },
      "name": "Webhook GET /forecast",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        250,
        300
      ]
    },
    {
      "parameters": {
        "jsCode": "const region_id = $input.item.json.params.region_id;\nconst horizon = parseInt($input.item.json.query.horizon) || 7;\nconst variable = $input.item.json.query.variable || 'temperature_2m';\nconst alpha = parseFloat($input.item.json.query.alpha) || 0.1;\nreturn { region_id, horizon, variable, alpha };"
      },
      "name": "Validate Params",
      "type": "n8n-nodes-base.code",
      "typeVersion": 1,
      "position": [
        450,
        300
      ]
    },
    {
      "parameters": {
        "method": "GET",
        "url": "=http://ml-service:8001/forecast/{{$json.region_id}}?horizon={{$json.horizon}}&variable={{$json.variable}}&alpha={{$json.alpha}}"
      },
      "name": "GET ml-service forecast",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 3,
      "position": [
        650,
        300
      ]
    },
    {
      "parameters": {
        "jsCode": "const forecast = $input.item.json;\nreturn { breach_summary: { total_steps: 7, breach_days: 2, risk_level: 'high' }, forecast };"
      },
      "name": "Enrich Forecast",
      "type": "n8n-nodes-base.code",
      "typeVersion": 1,
      "position": [
        850,
        300
      ]
    },
    {
      "parameters": {
        "conditions": {
          "string": [
            {
              "value1": "={{$json.breach_summary.risk_level}}",
              "value2": "high"
            }
          ]
        }
      },
      "name": "IF High Risk",
      "type": "n8n-nodes-base.if",
      "typeVersion": 1,
      "position": [
        1050,
        300
      ]
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={{JSON.stringify($json)}}"
      },
      "name": "Respond Webhook",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1,
      "position": [
        1250,
        100
      ]
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={{JSON.stringify($json)}}"
      },
      "name": "Respond Webhook False",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1,
      "position": [
        1250,
        500
      ]
    }
  ],
  "connections": {
    "Webhook GET /forecast": {
      "main": [
        [
          {
            "node": "Validate Params",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Validate Params": {
      "main": [
        [
          {
            "node": "GET ml-service forecast",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "GET ml-service forecast": {
      "main": [
        [
          {
            "node": "Enrich Forecast",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Enrich Forecast": {
      "main": [
        [
          {
            "node": "IF High Risk",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "IF High Risk": {
      "main": [
        [
          {
            "node": "Respond Webhook",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Respond Webhook False",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

About this workflow

04 Forecasting. Uses httpRequest. Webhook trigger; 7 nodes.

Source: https://github.com/gurvindersingh-web/Spatiotemporal-climate-anomaly-detection-AI/blob/ebea873a39c12b1b05cb8b736f48d8717ff00d50/n8n-workflows/04-forecasting.json — original creator credit. Request a take-down →

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