from urllib.parse import urlencode

from metadata.sdk import client, configure

configure(
    host="https://your-company.open-metadata.org/api",
    jwt_token="your-jwt-token"
)
rest = client().ometa.client

# Find tables with a specific column name
params = urlencode({
    "fieldName": "columns.name",
    "fieldValue": "shop_id",
    "index": "table_search_index"
})
response = rest.get(f"/search/fieldQuery?{params}")

for hit in response["hits"]["hits"]:
    entity = hit["_source"]
    print(f"{entity['fullyQualifiedName']} (score: {hit['_score']})")

# Find entities with a specific tag
params = urlencode({
    "fieldName": "tags.tagFQN",
    "fieldValue": "PII.Sensitive",
    "index": "table_search_index"
})
response = rest.get(f"/search/fieldQuery?{params}")

for hit in response["hits"]["hits"]:
    entity = hit["_source"]
    print(f"{entity['fullyQualifiedName']}")

// client is an initialized OpenMetadataClient.
// Find tables with a specific column name
var response = client.searchApi().fieldQuery(
    "columns.name",        // fieldName
    "shop_id",             // fieldValue
    "table_search_index",  // index
    0,                     // from
    10                     // size
);

for (var hit : response.getHits().getHits()) {
    var source = hit.getSource();
    System.out.println(source.getFullyQualifiedName());
}

# Find tables with a specific column name
curl "{base_url}/api/v1/search/fieldQuery?fieldName=columns.name&fieldValue=shop_id&index=table_search_index" \
  -H "Authorization: Bearer {access_token}"

# Find entities with a specific tag
curl "{base_url}/api/v1/search/fieldQuery?fieldName=tags.tagFQN&fieldValue=PII.Sensitive&index=table_search_index" \
  -H "Authorization: Bearer {access_token}"

# Find entities owned by a specific user
curl "{base_url}/api/v1/search/fieldQuery?fieldName=owners.name&fieldValue=admin&index=table_search_index&size=20" \
  -H "Authorization: Bearer {access_token}"

{
  "took": 5,
  "timed_out": false,
  "_shards": {
    "total": 1,
    "successful": 1,
    "failed": 0,
    "skipped": 0
  },
  "hits": {
    "total": {
      "value": 12,
      "relation": "eq"
    },
    "hits": [
      {
        "_index": "table_search_index",
        "_id": "7c2191b6-81da-4c97-83c4-1a537e54a3b0",
        "_score": 1.8,
        "_source": {
          "id": "7c2191b6-81da-4c97-83c4-1a537e54a3b0",
          "name": "dim_customer",
          "fullyQualifiedName": "sample_data.ecommerce_db.shopify.dim_customer",
          "entityType": "table",
          "serviceType": "BigQuery",
          "description": "Customer dimension table with shop_id reference",
          "owners": [],
          "tags": [],
          "columns": [
            {
              "name": "shop_id",
              "dataType": "NUMERIC",
              "fullyQualifiedName": "sample_data.ecommerce_db.shopify.dim_customer.shop_id"
            }
          ]
        }
      }
    ]
  }
}