from metadata.sdk import configure
from metadata.sdk.entities import StoredProcedures

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

# List first page
procedures = StoredProcedures.list(limit=50)
for sp in procedures.data:
    print(f"{sp.fullyQualifiedName}")

# List all with auto-pagination
for sp in StoredProcedures.list_all():
    print(f"{sp.fullyQualifiedName}")

# Filter by database schema
procedures = StoredProcedures.list(
    databaseSchema="snowflake_prod.analytics.public",
    fields=["owners", "tags", "domain"],
    limit=50
)

for sp in procedures.data:
    print(f"{sp.fullyQualifiedName}")
    if sp.owners:
        print(f"  Owners: {[o.name for o in sp.owners]}")
    if sp.tags:
        print(f"  Tags: {[t.tagFQN for t in sp.tags]}")

import static org.openmetadata.sdk.fluent.StoredProcedures.*;

// List first page
var result = StoredProcedures.list()
    .limit(50)
    .execute();

for (var sp : result.getData()) {
    System.out.println(sp.getFullyQualifiedName());
}

// Filter by database schema with fields
var result = StoredProcedures.list()
    .databaseSchema("snowflake_prod.analytics.public")
    .fields("owners", "tags", "domain")
    .limit(50)
    .execute();

for (var sp : result.getData()) {
    System.out.println(sp.getFullyQualifiedName());
}

# List all
curl "{base_url}/api/v1/storedProcedures?limit=50" \
  -H "Authorization: Bearer {access_token}"

# Filter by database schema
curl "{base_url}/api/v1/storedProcedures?databaseSchema=sample_data.ecommerce_db.shopify&limit=50" \
  -H "Authorization: Bearer {access_token}"

# With fields
curl "{base_url}/api/v1/storedProcedures?databaseSchema=sample_data.ecommerce_db.shopify&fields=owners,tags,domains&limit=50" \
  -H "Authorization: Bearer {access_token}"

{
  "data": [
    {
      "id": "d02b24fa-a246-4563-adf1-9ad21f251c0e",
      "name": "calculate_average",
      "fullyQualifiedName": "sample_data.ecommerce_db.shopify.calculate_average",
      "description": "Procedure to calculate average",
      "storedProcedureCode": {
        "code": "CREATE OR REPLACE PROCEDURE calculate_average(numbers INT ARRAY) RETURNS FLOAT NOT NULL LANGUAGE SQL AS $$DECLARE sum_val INT = 0;count_val INT = 0;average_val FLOAT;BEGIN\n  FOR num IN ARRAY numbers DO sum_val := sum_val + num;\n  count_val := count_val + 1;\nEND FOR;\nIF count_val = 0 THEN\n  average_val := 0.0;\nELSE\n  average_val := sum_val / count_val;\nEND IF;\nRETURN average_val;\nEND;$$;"
      },
      "version": 0.1,
      "updatedAt": 1769982660822,
      "updatedBy": "admin",
      "storedProcedureType": "StoredProcedure",
      "href": "http://localhost:8585/api/v1/storedProcedures/d02b24fa-a246-4563-adf1-9ad21f251c0e",
      "databaseSchema": {
        "id": "4dd30184-009c-4792-b296-9562eaed651f",
        "type": "databaseSchema",
        "name": "shopify",
        "fullyQualifiedName": "sample_data.ecommerce_db.shopify",
        "description": "This **mock** database contains schema related to shopify sales and orders with related dimension tables.",
        "displayName": "shopify",
        "deleted": false,
        "href": "http://localhost:8585/api/v1/databaseSchemas/4dd30184-009c-4792-b296-9562eaed651f"
      },
      "database": {
        "id": "0be090de-0941-48c4-af49-a6157c91cda0",
        "type": "database",
        "name": "ecommerce_db",
        "fullyQualifiedName": "sample_data.ecommerce_db",
        "description": "This **mock** database contains schemas related to shopify sales and orders with related dimension tables.",
        "displayName": "ecommerce_db",
        "deleted": false,
        "href": "http://localhost:8585/api/v1/databases/0be090de-0941-48c4-af49-a6157c91cda0"
      },
      "serviceType": "BigQuery",
      "deleted": false,
      "owners": [],
      "tags": [],
      "domains": [],
      "processedLineage": false,
      "entityStatus": "Unprocessed"
    }
  ],
  "paging": {
    "after": "...",
    "total": 12
  }
}