# Requires `jq`. PATCH replaces nested objects wholesale, so each
# step reads the current value first and merges before sending.

# 1. Retrieve the current model.
current=$(curl -sS "$FIDDLER_URL/v3/models/$MODEL_ID" \
  -H "Authorization: Bearer $FIDDLER_TOKEN")

# 2. PATCH the schema with existing columns + new column.
new_schema=$(echo "$current" | jq '.data.schema
  | .columns += [{"name": "new_feature", "data_type": "float"}]')
curl -sS -X PATCH "$FIDDLER_URL/v3/models/$MODEL_ID" \
  -H "Authorization: Bearer $FIDDLER_TOKEN" \
  -H "Content-Type: application/json" \
  -d "$(jq -n --argjson s "$new_schema" '{schema: $s}')"

# 3. PATCH the spec with the existing roles preserved and the
#    new column appended to `inputs`. Without this step the new
#    column will not appear in the UI beyond the raw events
#    table; without preserving the other arrays, existing
#    outputs / targets / decisions / metadata / custom_features
#    would be wiped.
new_spec=$(echo "$current" | jq '.data.spec
  | .inputs += ["new_feature"]')
curl -sS -X PATCH "$FIDDLER_URL/v3/models/$MODEL_ID" \
  -H "Authorization: Bearer $FIDDLER_TOKEN" \
  -H "Content-Type: application/json" \
  -d "$(jq -n --argjson s "$new_spec" '{spec: $s}')"

{
  "api_version": "3.0",
  "kind": "NORMAL",
  "data": {
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "name": "<string>",
    "version": "v1",
    "organization": {
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "name": "<string>"
    },
    "project": {
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "name": "<string>"
    },
    "deleted_at": "2023-11-07T05:31:56Z",
    "algorithm": "<string>",
    "framework": "<string>",
    "created_by": {
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "email": "jsmith@example.com",
      "full_name": "<string>"
    },
    "created_at": "2023-11-07T05:31:56Z",
    "updated_at": "2023-11-07T05:31:56Z",
    "description": "<string>",
    "owner": {
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "email": "jsmith@example.com",
      "full_name": "<string>"
    },
    "deployment_date": "2023-11-07T05:31:56Z",
    "updated_by": {
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "email": "jsmith@example.com",
      "full_name": "<string>"
    },
    "task_params": {
      "binary_classification_threshold": 123,
      "target_class_order": [
        "<string>"
      ],
      "group_by": "<string>",
      "top_k": 123,
      "class_weights": [
        123
      ],
      "weighted_ref_histograms": true
    },
    "schema": {
      "schema_version": 1,
      "columns": [
        {
          "name": "<string>",
          "id": "<string>",
          "min": 123,
          "max": 123,
          "categories": [
            "<string>"
          ],
          "bins": [
            123
          ],
          "replace_with_nulls": [
            "<string>"
          ],
          "n_dimensions": 123
        }
      ]
    },
    "spec": {
      "schema_version": 1,
      "inputs": [
        "<string>"
      ],
      "outputs": [
        "<string>"
      ],
      "targets": [
        "<string>"
      ],
      "decisions": [
        "<string>"
      ],
      "metadata": [
        "<string>"
      ],
      "custom_features": [
        {
          "name": "<string>",
          "columns": [
            "<string>"
          ],
          "centroids": [
            123
          ],
          "tf_idf": [
            {}
          ],
          "n_clusters": 123,
          "monitor_components": true
        }
      ]
    },
    "event_id_col": "<string>",
    "event_ts_col": "<string>",
    "event_ts_format": "<string>",
    "xai_params": {
      "custom_explain_methods": [
        "<string>"
      ],
      "default_explain_method": "<string>"
    },
    "artifact_files": [
      {
        "name": "<string>",
        "size": 123,
        "modified": "2023-11-07T05:31:56Z"
      }
    ],
    "is_binary_ranking_model": true
  }
}