update integration tests

pytest.ini

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+[pytest]
+markers =
+happy_path: marks tests as part of the primary success path (end-to-end test)

requirements_test.txt

@@ -1 +1,3 @@
 pytest
+python-dotenv==1.1.1
+psycopg2-binary==2.9.10

tests/__init__.py

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+# This can be empty, it just marks the directory as a Python package
+
+__version__ = "0.1.0"

tests/integration/__init__.py

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+# This can be empty, it just marks the directory as a Python package
+
+__version__ = "0.1.0"

tests/integration/config.py

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+# minds/tests/integration/config.py
+import logging
+import os
+
+from dotenv import load_dotenv
+
+# ===================================================================
+# 1. CONFIGURATION
+# ===================================================================
+
+# Set up basic logging to output INFO level messages.
+logging.basicConfig(
+    level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
+)
+
+# Load environment variables from a .env file if it exists.
+load_dotenv()
+
+# --- API and Schema Configuration ---
+MINDS_API_BASE_URL = os.getenv(
+    "MINDS_API_BASE_URL", "https://minds-terabase.dev.mdb.ai"
+)  #
+MINDS_OPENAPI_SPEC_URL = os.getenv(
+    "MINDS_OPENAPI_SPEC_URL", f"{MINDS_API_BASE_URL.strip('/')}/openapi.json"
+)
+AUTH_TOKEN = os.getenv("MINDS_API_TOKEN", "remove me when auth is implemented")
+
+# --- DATASOURCE CONFIGURATIONS ---
+DATASOURCE_CONFIGS = []
+
+# --- PostgreSQL Configuration (Reads from your existing PG_ environment variables) ---
+POSTGRES_CONFIG = {
+    "host": os.getenv("PG_HOST", "samples.mindsdb.com"),
+    "port": int(os.getenv("PG_PORT", 5432)),
+    "user": os.getenv("PG_USER", "demo_user"),
+    "password": os.getenv("PG_PASSWORD", "demo_password"),
+    "database": os.getenv("PG_DB_NAME", "demo"),
+    "schema": os.getenv("PG_SCHEMA", "demo"),
+}
+if all(POSTGRES_CONFIG.values()):
+    DATASOURCE_CONFIGS.append(
+        {
+            "engine": "postgres",
+            "name_prefix": "test_pg_ds",
+            "connection_data": POSTGRES_CONFIG,
+            "sample_table": "house_sales",  # A known table in the demo PG database
+        }
+    )
+
+# --- Snowflake Configuration (Only enabled if all credentials are provided) ---
+SNOWFLAKE_CONFIG = {
+    "account": os.getenv("SNOWFLAKE_ACCOUNT"),
+    "user": os.getenv("SNOWFLAKE_USER"),
+    "password": os.getenv("SNOWFLAKE_PASSWORD"),
+    "schema": os.getenv("SNOWFLAKE_SCHEMA"),
+    "database": os.getenv("SNOWFLAKE_DATABASE"),
+    "warehouse": os.getenv("SNOWFLAKE_WAREHOUSE"),
+}
+if all(SNOWFLAKE_CONFIG.values()):
+    DATASOURCE_CONFIGS.append(
+        {
+            "engine": "snowflake",
+            "name_prefix": "test-sf-ds",
+            "connection_data": SNOWFLAKE_CONFIG,
+            "sample_table": "CUSTOMER",
+        }
+    )

tests/integration/conftest.py

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+import logging
+import pytest
+import time
+import psycopg2
+
+from minds.client import Client
+from minds.exceptions import ObjectNotFound
+from . import config
+
+logging.basicConfig(
+    level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
+)
+
+
+@pytest.fixture(scope="session")
+def db_ground_truth():
+    """
+    Connects directly to the PG database to fetch the true max values for assertions,
+    making tests resilient to data changes.
+    """
+    conn = None
+    try:
+        # Use a dictionary of connection parameters that psycopg2 expects
+        conn_params = {
+            "dbname": config.POSTGRES_CONFIG["database"],
+            "user": config.POSTGRES_CONFIG["user"],
+            "password": config.POSTGRES_CONFIG["password"],
+            "host": config.POSTGRES_CONFIG["host"],
+            "port": config.POSTGRES_CONFIG["port"],
+        }
+        conn = psycopg2.connect(**conn_params)
+        cur = conn.cursor()
+
+        #  Fully qualify the table name with its schema ('demo_data') to resolve the "relation does not exist" error.
+        cur.execute("SELECT MAX(rental_price) FROM demo_data.home_rentals;")
+        max_rental_price = cur.fetchone()[0]
+
+        cur.close()
+        logging.info(
+            f"Fetched ground truth from DB: max_rental_price={max_rental_price}"
+        )
+        return {"max_rental_price": max_rental_price}
+    except Exception as e:
+        pytest.skip(f"Could not connect to PG database to get ground truth: {e}")
+    finally:
+        if conn:
+            conn.close()
+
+
+@pytest.fixture(scope="session")
+def sdk_client() -> Client:
+    """Initialize a Minds Client using centralized config."""
+    logging.info(f"Connecting to Minds API at {config.MINDS_API_BASE_URL}")
+    client = Client(api_key=config.AUTH_TOKEN, base_url=config.MINDS_API_BASE_URL)
+    return client
+
+
+@pytest.fixture(scope="function")
+def sdk_datasource(sdk_client: Client):
+    """Creates a temporary datasource for test use and cleans it up."""
+    timestamp = str(int(time.time()))[-6:]
+    ds_base = config.DATASOURCE_CONFIGS[0]
+    ds_name = f"{ds_base['name_prefix']}_{timestamp}"
+
+    ds_config = {
+        "name": ds_name,
+        "engine": ds_base["engine"],
+        "connection_data": ds_base["connection_data"],
+        "description": "Temporary test datasource",
+    }
+
+    logging.info(f"Creating test datasource {ds_name}")
+    ds = sdk_client.datasources.create(**ds_config)
+
+    yield ds  # make datasource available to tests
+
+    # Cleanup
+    logging.info(f"Dropping test datasource {ds_name}")
+    try:
+        sdk_client.datasources.drop(ds_name)
+    except ObjectNotFound:
+        logging.warning(f"Datasource {ds_name} already removed.")
+
+
+@pytest.fixture(scope="function")
+def sdk_mind(sdk_client: Client, sdk_datasource):
+    """Creates a temporary mind for test use and cleans it up."""
+    timestamp = int(time.time())
+    mind_name = f"test_mind_{timestamp}"
+
+    logging.info(
+        f"Creating test mind {mind_name} with datasource {sdk_datasource.name}"
+    )
+    # Create the mind with 'home_rentals' from the start.
+    sdk_client.minds.create(
+        mind_name,
+        datasources=[{"name": sdk_datasource.name, "tables": ["home_rentals"]}],
+        provider="openai",
+    )
+
+    yield mind_name
+
+    # Cleanup
+    mind_name_upd = f"{mind_name}_upd"
+    logging.info(f"Dropping test mind {mind_name_upd}")
+    try:
+        sdk_client.minds.drop(mind_name_upd)
+    except ObjectNotFound:
+        # Also try dropping the original name in case the test failed before the update
+        try:
+            sdk_client.minds.drop(mind_name)
+        except ObjectNotFound:
+            logging.warning(f"Mind {mind_name} or {mind_name_upd} already removed.")