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",
  "definition": {
    "version": "0.1.0",
    "name": "World Bank Population History",
    "description": "Fetches the ten most recent non-empty U.S. population observations from the World Bank and shapes them as chronological table rows.",
    "nodes": [
      {
        "node_instance_id": "request",
        "node_id": "n_fetch_url",
        "node_version": "1.0.0",
        "title": "Fetch World Bank observations",
        "params": {
          "url": "https://api.worldbank.org/v2/country/USA/indicator/SP.POP.TOTL",
          "method": "GET",
          "query": {
            "format": "json",
            "mrnev": 10,
            "per_page": 10
          },
          "headers": {
            "Accept": "application/json"
          },
          "timeout_seconds": 20,
          "max_response_bytes": 300000
        },
        "exposed_inputs": [],
        "inputs_visibility_configured": true,
        "exposed_outputs": [
          "json",
          "status"
        ],
        "outputs_visibility_configured": true
      },
      {
        "node_instance_id": "observations",
        "node_id": "n_json_path",
        "node_version": "1.0.0",
        "title": "Observation rows",
        "params": {
          "path": "1"
        }
      },
      {
        "node_instance_id": "project",
        "node_id": "n_map_fields",
        "node_version": "1.0.0",
        "title": "Select table columns",
        "params": {
          "mapping": {
            "year": "date",
            "population": "value",
            "country": "country.value",
            "country_code": "countryiso3code",
            "indicator": "indicator.value"
          }
        }
      },
      {
        "node_instance_id": "sort",
        "node_id": "n_sort_rows",
        "node_version": "1.0.0",
        "title": "Oldest to newest",
        "params": {
          "field": "year",
          "direction": "asc"
        }
      },
      {
        "node_instance_id": "limit",
        "node_id": "n_limit",
        "node_version": "1.0.0",
        "title": "At most ten years",
        "params": {
          "count": 10
        }
      },
      {
        "node_instance_id": "response",
        "node_id": "n_json_response",
        "node_version": "1.0.0",
        "title": "Population JSON response"
      }
    ],
    "edges": [
      {
        "source_node_id": "request",
        "source_output": "json",
        "target_node_id": "observations",
        "target_input": "value"
      },
      {
        "source_node_id": "observations",
        "source_output": "value",
        "target_node_id": "project",
        "target_input": "value"
      },
      {
        "source_node_id": "project",
        "source_output": "items",
        "target_node_id": "sort",
        "target_input": "items"
      },
      {
        "source_node_id": "sort",
        "source_output": "items",
        "target_node_id": "limit",
        "target_input": "items"
      },
      {
        "source_node_id": "limit",
        "source_output": "items",
        "target_node_id": "response",
        "target_input": "value"
      }
    ],
    "graph_outputs": {
      "rows": {
        "node_instance_id": "limit",
        "output_name": "items"
      },
      "status": {
        "node_instance_id": "request",
        "output_name": "status"
      },
      "response": {
        "node_instance_id": "response",
        "output_name": "response"
      }
    },
    "metadata": {
      "template": {
        "category": "data",
        "status": "live-public-data",
        "composite_interface": {
          "inputs": {},
          "outputs": {
            "rows": {
              "type": "json",
              "node_instance_id": "limit",
              "output_name": "items"
            },
            "status": {
              "type": "int",
              "node_instance_id": "request",
              "output_name": "status"
            }
          }
        },
        "requires": {
          "nodes": [
            "n_fetch_url",
            "n_json_path",
            "n_map_fields",
            "n_sort_rows",
            "n_limit",
            "n_json_response"
          ],
          "panels": [
            "table",
            "json",
            "logs"
          ],
          "capabilities": [
            "public-http"
          ],
          "secrets": []
        }
      },
      "canvas": {
        "positions": {
          "request": {
            "x": 80,
            "y": 180
          },
          "observations": {
            "x": 350,
            "y": 180
          },
          "project": {
            "x": 620,
            "y": 180
          },
          "sort": {
            "x": 890,
            "y": 180
          },
          "limit": {
            "x": 1160,
            "y": 180
          },
          "response": {
            "x": 1430,
            "y": 180
          }
        },
        "recommended_panels": [
          {
            "kind": "table",
            "binding": {
              "nodeInstanceId": "limit",
              "outputName": "items"
            }
          },
          {
            "kind": "json",
            "binding": {
              "nodeInstanceId": "response",
              "outputName": "response"
            }
          }
        ]
      }
    }
  },
  "tags": [
    "data",
    "indicators"
  ]
}