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",
  "definition": {
    "version": "0.1.0",
    "name": "Geo Situational Brief",
    "description": "A multi-branch live USGS earthquake workflow that filters, cross-references cities, finds the nearest event, charts magnitude buckets, and renders a markdown brief.",
    "nodes": [
      {
        "node_instance_id": "feed_url",
        "node_id": "n_url_input",
        "node_version": "1.0.0",
        "title": "USGS GeoJSON URL",
        "params": {
          "url": "https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/2.5_day.geojson"
        }
      },
      {
        "node_instance_id": "cities",
        "node_id": "n_static_value",
        "node_version": "1.0.0",
        "title": "Reference cities",
        "params": {
          "value": [
            {
              "name": "San Francisco",
              "lat": 37.7749,
              "lon": -122.4194
            },
            {
              "name": "Los Angeles",
              "lat": 34.0522,
              "lon": -118.2437
            },
            {
              "name": "Seattle",
              "lat": 47.6062,
              "lon": -122.3321
            },
            {
              "name": "Anchorage",
              "lat": 61.2181,
              "lon": -149.9003
            },
            {
              "name": "Honolulu",
              "lat": 21.3069,
              "lon": -157.8583
            },
            {
              "name": "Tokyo",
              "lat": 35.6762,
              "lon": 139.6503
            },
            {
              "name": "Mexico City",
              "lat": 19.4326,
              "lon": -99.1332
            },
            {
              "name": "Santiago",
              "lat": -33.4489,
              "lon": -70.6693
            },
            {
              "name": "Wellington",
              "lat": -41.2865,
              "lon": 174.7762
            },
            {
              "name": "Jakarta",
              "lat": -6.2088,
              "lon": 106.8456
            }
          ]
        }
      },
      {
        "node_instance_id": "fetch",
        "node_id": "n_fetch_url",
        "node_version": "1.0.0",
        "title": "Fetch earthquakes",
        "params": {
          "method": "GET",
          "headers": {
            "Accept": "application/geo+json, application/json"
          },
          "timeout_seconds": 30,
          "max_response_bytes": 5000000
        },
        "exposed_inputs": [
          "url"
        ],
        "inputs_visibility_configured": true,
        "exposed_outputs": [
          "json",
          "status"
        ],
        "outputs_visibility_configured": true
      },
      {
        "node_instance_id": "metadata",
        "node_id": "n_json_path",
        "node_version": "1.0.0",
        "title": "Feed metadata",
        "params": {
          "path": "metadata"
        }
      },
      {
        "node_instance_id": "features",
        "node_id": "n_json_path",
        "node_version": "1.0.0",
        "title": "Earthquake features",
        "params": {
          "path": "features"
        }
      },
      {
        "node_instance_id": "significant_geojson",
        "node_id": "n_geojson_filter",
        "node_version": "1.0.0",
        "title": "Significant GeoJSON",
        "params": {
          "field": "properties.mag"
        },
        "exposed_inputs": [
          "value",
          "min"
        ],
        "inputs_visibility_configured": true,
        "exposed_outputs": [
          "geojson",
          "features"
        ],
        "outputs_visibility_configured": true,
        "literal_inputs": {
          "min": 4.5
        }
      },
      {
        "node_instance_id": "top_event_fields",
        "node_id": "n_map_fields",
        "node_version": "1.0.0",
        "title": "Top event fields",
        "params": {
          "mapping": {
            "place": "properties.place",
            "magnitude": "properties.mag",
            "time": "properties.time",
            "url": "properties.url",
            "lon": "geometry.coordinates.0",
            "lat": "geometry.coordinates.1"
          }
        }
      },
      {
        "node_instance_id": "top_event_sort",
        "node_id": "n_sort_rows",
        "node_version": "1.0.0",
        "title": "Sort by magnitude",
        "params": {
          "field": "magnitude",
          "direction": "desc"
        }
      },
      {
        "node_instance_id": "top_rows",
        "node_id": "n_limit",
        "node_version": "1.0.0",
        "title": "Top event rows",
        "params": {
          "count": 12
        },
        "exposed_inputs": [
          "items",
          "count"
        ],
        "inputs_visibility_configured": true,
        "literal_inputs": {
          "count": 12
        }
      },
      {
        "node_instance_id": "nearest_geojson",
        "node_id": "n_geojson_nearest_point",
        "node_version": "1.0.0",
        "title": "Nearest map layer",
        "params": {
          "profile_label": "Profile location"
        },
        "exposed_inputs": [
          "features",
          "lat",
          "lon",
          "places"
        ],
        "inputs_visibility_configured": true,
        "exposed_outputs": [
          "nearest",
          "geojson"
        ],
        "outputs_visibility_configured": true,
        "literal_inputs": {
          "lat": 37.7749,
          "lon": -122.4194
        }
      },
      {
        "node_instance_id": "magnitude_buckets",
        "node_id": "n_bucket_counts",
        "node_version": "1.0.0",
        "title": "Magnitude buckets",
        "params": {
          "field": "properties.mag",
          "buckets": [
            {
              "label": "2.5-2.9",
              "min": 2.5,
              "max": 3.0
            },
            {
              "label": "3.0-3.9",
              "min": 3.0,
              "max": 4.0
            },
            {
              "label": "4.0-4.9",
              "min": 4.0,
              "max": 5.0
            },
            {
              "label": "5.0-5.9",
              "min": 5.0,
              "max": 6.0
            },
            {
              "label": "6.0+",
              "min": 6.0
            }
          ]
        }
      },
      {
        "node_instance_id": "region_buckets",
        "node_id": "n_bucket_counts",
        "node_version": "1.0.0",
        "title": "Region buckets",
        "params": {
          "field": "properties.place",
          "split": ",",
          "part": "last",
          "limit": 12
        }
      },
      {
        "node_instance_id": "summary",
        "node_id": "n_json_template",
        "node_version": "1.0.0",
        "title": "Brief summary JSON",
        "params": {
          "template": {
            "user_location": {
              "lat": "{{ inputs.user_lat }}",
              "lon": "{{ inputs.user_lon }}"
            },
            "metadata": "{{ inputs.metadata }}",
            "nearest": "{{ inputs.nearest }}",
            "top_events": "{{ inputs.top_events }}",
            "magnitude_buckets": "{{ inputs.magnitude_buckets }}",
            "region_buckets": "{{ inputs.region_buckets }}"
          }
        },
        "custom_inputs": {
          "user_lat": "json",
          "user_lon": "json",
          "metadata": "json",
          "nearest": "json",
          "top_events": "json",
          "magnitude_buckets": "json",
          "region_buckets": "json"
        },
        "exposed_inputs": [
          "user_lat",
          "user_lon",
          "metadata",
          "nearest",
          "top_events",
          "magnitude_buckets",
          "region_buckets"
        ],
        "inputs_visibility_configured": true,
        "literal_inputs": {
          "user_lat": 37.7749,
          "user_lon": -122.4194
        }
      },
      {
        "node_instance_id": "markdown",
        "node_id": "n_text_template",
        "node_version": "1.0.0",
        "title": "Markdown brief",
        "params": {
          "template": "# Geo Situational Brief\n\nSource: {{ inputs.value.metadata.title }}\n\nProfile location: {{ inputs.value.user_location.lat }}, {{ inputs.value.user_location.lon }}\n\n## Nearest Event\n\n{{ inputs.value.nearest.place }}\n\nMagnitude: {{ inputs.value.nearest.magnitude }}\n\nDistance from profile location: {{ inputs.value.nearest.distance_km }} km\n\nURL: {{ inputs.value.nearest.url }}\n"
        },
        "exposed_outputs": [
          "text",
          "value"
        ],
        "outputs_visibility_configured": true
      },
      {
        "node_instance_id": "geojson_response",
        "node_id": "n_json_response",
        "node_version": "1.0.0",
        "title": "GeoJSON Response"
      },
      {
        "node_instance_id": "brief_response",
        "node_id": "n_text_response",
        "node_version": "1.0.0",
        "title": "Markdown Response",
        "params": {
          "content_type": "text/markdown; charset=utf-8"
        }
      },
      {
        "node_instance_id": "summary_response",
        "node_id": "n_json_response",
        "node_version": "1.0.0",
        "title": "Summary JSON Response"
      }
    ],
    "edges": [
      {
        "source_node_id": "feed_url",
        "source_output": "url",
        "target_node_id": "fetch",
        "target_input": "url"
      },
      {
        "source_node_id": "fetch",
        "source_output": "json",
        "target_node_id": "metadata",
        "target_input": "value"
      },
      {
        "source_node_id": "fetch",
        "source_output": "json",
        "target_node_id": "features",
        "target_input": "value"
      },
      {
        "source_node_id": "features",
        "source_output": "value",
        "target_node_id": "significant_geojson",
        "target_input": "value"
      },
      {
        "source_node_id": "features",
        "source_output": "value",
        "target_node_id": "top_event_fields",
        "target_input": "value"
      },
      {
        "source_node_id": "top_event_fields",
        "source_output": "items",
        "target_node_id": "top_event_sort",
        "target_input": "items"
      },
      {
        "source_node_id": "top_event_sort",
        "source_output": "items",
        "target_node_id": "top_rows",
        "target_input": "items"
      },
      {
        "source_node_id": "features",
        "source_output": "value",
        "target_node_id": "nearest_geojson",
        "target_input": "features"
      },
      {
        "source_node_id": "cities",
        "source_output": "value",
        "target_node_id": "nearest_geojson",
        "target_input": "places"
      },
      {
        "source_node_id": "features",
        "source_output": "value",
        "target_node_id": "magnitude_buckets",
        "target_input": "items"
      },
      {
        "source_node_id": "features",
        "source_output": "value",
        "target_node_id": "region_buckets",
        "target_input": "items"
      },
      {
        "source_node_id": "metadata",
        "source_output": "value",
        "target_node_id": "summary",
        "target_input": "metadata"
      },
      {
        "source_node_id": "nearest_geojson",
        "source_output": "nearest",
        "target_node_id": "summary",
        "target_input": "nearest"
      },
      {
        "source_node_id": "top_rows",
        "source_output": "items",
        "target_node_id": "summary",
        "target_input": "top_events"
      },
      {
        "source_node_id": "magnitude_buckets",
        "source_output": "value",
        "target_node_id": "summary",
        "target_input": "magnitude_buckets"
      },
      {
        "source_node_id": "region_buckets",
        "source_output": "value",
        "target_node_id": "summary",
        "target_input": "region_buckets"
      },
      {
        "source_node_id": "summary",
        "source_output": "value",
        "target_node_id": "markdown",
        "target_input": "value"
      },
      {
        "source_node_id": "significant_geojson",
        "source_output": "geojson",
        "target_node_id": "geojson_response",
        "target_input": "value"
      },
      {
        "source_node_id": "markdown",
        "source_output": "text",
        "target_node_id": "brief_response",
        "target_input": "text"
      },
      {
        "source_node_id": "summary",
        "source_output": "value",
        "target_node_id": "summary_response",
        "target_input": "value"
      }
    ],
    "graph_outputs": {
      "significant_geojson": {
        "node_instance_id": "significant_geojson",
        "output_name": "geojson"
      },
      "nearest_geojson": {
        "node_instance_id": "nearest_geojson",
        "output_name": "geojson"
      },
      "top_events": {
        "node_instance_id": "top_rows",
        "output_name": "items"
      },
      "magnitude_buckets": {
        "node_instance_id": "magnitude_buckets",
        "output_name": "value"
      },
      "region_buckets": {
        "node_instance_id": "region_buckets",
        "output_name": "value"
      },
      "markdown": {
        "node_instance_id": "markdown",
        "output_name": "text"
      },
      "response": {
        "node_instance_id": "brief_response",
        "output_name": "response"
      },
      "summary": {
        "node_instance_id": "summary_response",
        "output_name": "response"
      }
    },
    "metadata": {
      "template": {
        "category": "geo",
        "status": "provider-backed-branching-probe",
        "summary": "Stress-tests Subfork with remote GeoJSON, cross-referenced static city data, profile variables, fan-out transforms, map/table/chart/markdown outputs, and multiple response branches.",
        "requires": {
          "nodes": [
            "n_url_input",
            "n_static_value",
            "n_fetch_url",
            "n_json_path",
            "n_geojson_filter",
            "n_geojson_nearest_point",
            "n_map_fields",
            "n_sort_rows",
            "n_limit",
            "n_bucket_counts",
            "n_json_template",
            "n_text_template",
            "n_json_response",
            "n_text_response"
          ],
          "panels": [
            "map",
            "table",
            "chart",
            "markdown",
            "json",
            "logs"
          ],
          "capabilities": [
            "public-http"
          ],
          "secrets": []
        }
      },
      "canvas": {
        "positions": {
          "feed_url": {
            "x": 60,
            "y": 240
          },
          "cities": {
            "x": 280,
            "y": 65
          },
          "fetch": {
            "x": 280,
            "y": 240
          },
          "metadata": {
            "x": 500,
            "y": 145
          },
          "features": {
            "x": 500,
            "y": 290
          },
          "nearest_geojson": {
            "x": 720,
            "y": 55
          },
          "significant_geojson": {
            "x": 720,
            "y": 240
          },
          "top_event_fields": {
            "x": 720,
            "y": 425
          },
          "top_event_sort": {
            "x": 940,
            "y": 425
          },
          "top_rows": {
            "x": 1160,
            "y": 425
          },
          "magnitude_buckets": {
            "x": 940,
            "y": 240
          },
          "region_buckets": {
            "x": 940,
            "y": 335
          },
          "summary": {
            "x": 1160,
            "y": 220
          },
          "markdown": {
            "x": 1380,
            "y": 140
          },
          "geojson_response": {
            "x": 1380,
            "y": 315
          },
          "summary_response": {
            "x": 1380,
            "y": 470
          },
          "brief_response": {
            "x": 1600,
            "y": 140
          }
        },
        "recommended_panels": [
          {
            "kind": "map",
            "binding": {
              "nodeInstanceId": "significant_geojson",
              "outputName": "geojson"
            }
          },
          {
            "kind": "map",
            "binding": {
              "nodeInstanceId": "nearest_geojson",
              "outputName": "geojson"
            }
          },
          {
            "kind": "table",
            "binding": {
              "nodeInstanceId": "top_rows",
              "outputName": "items"
            }
          },
          {
            "kind": "chart",
            "binding": {
              "nodeInstanceId": "magnitude_buckets",
              "outputName": "value"
            }
          },
          {
            "kind": "markdown",
            "binding": {
              "nodeInstanceId": "markdown",
              "outputName": "text"
            }
          },
          {
            "kind": "json",
            "binding": {
              "nodeInstanceId": "fetch",
              "outputName": "json"
            }
          },
          {
            "kind": "logs"
          }
        ]
      }
    }
  },
  "tags": [
    "geo",
    "situational"
  ]
}