feat: Filter schemas based on user-provided config

README.md

@@ -23,6 +23,7 @@ Built with the [Meltano Singer SDK](https://sdk.meltano.com).
 | password                     | False    | None    | Password used to authenticate. Note if sqlalchemy_url is set this will be ignored. |
 | database                     | False    | None    | Database name. Note if sqlalchemy_url is set this will be ignored. |
 | sqlalchemy_url               | False    | None    | Example postgresql://[username]:[password]@localhost:5432/[db_name] |
+| filter_schemas               | False    | None    | If an array of schema names is provided, the tap will only process the specified Postgres schemas and ignore others. If left blank, the tap automatically determines ALL available Postgres schemas. |
 | ssh_tunnel                   | False    | None    | SSH Tunnel Configuration, this is a json object |
 | ssh_tunnel.enable   | True (if ssh_tunnel set) | False   | Enable an ssh tunnel (also known as bastion host), see the other ssh_tunnel.* properties for more details.
 | ssh_tunnel.host | True (if ssh_tunnel set) | False   | Host of the bastion host, this is the host we'll connect to via ssh

tap_postgres/client.py

@@ -12,6 +12,8 @@
 from singer_sdk import SQLConnector, SQLStream
 from singer_sdk import typing as th
 from singer_sdk.helpers._typing import TypeConformanceLevel
+from sqlalchemy.engine import Engine
+from sqlalchemy.engine.reflection import Inspector
 
 if TYPE_CHECKING:
     from sqlalchemy.dialects import postgresql
@@ -165,6 +167,20 @@ def sdk_typing_object(
 
         return sqltype_lookup["string"]  # safe failover to str
 
+    def get_schema_names(self, engine: Engine, inspected: Inspector) -> list[str]:
+        """Return a list of schema names in DB, or overrides with user-provided values.
+
+        Args:
+            engine: SQLAlchemy engine
+            inspected: SQLAlchemy inspector instance for engine
+
+        Returns:
+            List of schema names
+        """
+        if "filter_schemas" in self.config and len(self.config["filter_schemas"]) != 0:
+            return self.config["filter_schemas"]
+        return super().get_schema_names(engine, inspected)
+
 
 class PostgresStream(SQLStream):
     """Stream class for Postgres streams."""

tap_postgres/tap.py

@@ -128,6 +128,15 @@ def __init__(
                 "Example postgresql://[username]:[password]@localhost:5432/[db_name]"
             ),
         ),
+        th.Property(
+            "filter_schemas",
+            th.ArrayType(th.StringType),
+            description=(
+                "If an array of schema names is provided, the tap will only process "
+                "the specified Postgres schemas and ignore others. If left blank, the "
+                "tap automatically determines ALL available Postgres schemas."
+            ),
+        ),
         th.Property(
             "ssh_tunnel",
             th.ObjectType(

tests/test_core.py

@@ -1,3 +1,4 @@
+import copy
 import datetime
 import decimal
 import json
@@ -9,7 +10,7 @@
 from singer_sdk.testing import get_tap_test_class, suites
 from singer_sdk.testing.runners import TapTestRunner
 from sqlalchemy import Column, DateTime, Integer, MetaData, Numeric, String, Table
-from sqlalchemy.dialects.postgresql import DATE, JSONB, TIME, TIMESTAMP, JSON
+from sqlalchemy.dialects.postgresql import BIGINT, DATE, JSON, JSONB, TIME, TIMESTAMP
 from test_replication_key import TABLE_NAME, TapTestReplicationKey
 from test_selected_columns_only import (
     TABLE_NAME_SELECTED_COLUMNS_ONLY,
@@ -290,6 +291,29 @@ def test_decimal():
             assert "number" in schema_message["schema"]["properties"]["column"]["type"]
 
 
+def test_filter_schemas():
+    """Only return tables from a given schema"""
+    table_name = "test_filter_schemas"
+    engine = sqlalchemy.create_engine(SAMPLE_CONFIG["sqlalchemy_url"])
+
+    metadata_obj = MetaData()
+    table = Table(table_name, metadata_obj, Column("id", BIGINT), schema="new_schema")
+
+    with engine.connect() as conn:
+        conn.execute("CREATE SCHEMA IF NOT EXISTS new_schema")
+        if table.exists(conn):
+            table.drop(conn)
+        metadata_obj.create_all(conn)
+    filter_schemas_config = copy.deepcopy(SAMPLE_CONFIG)
+    filter_schemas_config.update({"filter_schemas": ["new_schema"]})
+    tap = TapPostgres(config=filter_schemas_config)
+    tap_catalog = json.loads(tap.catalog_json_text)
+    altered_table_name = f"new_schema-{table_name}"
+    # Check that the only stream in the catalog is the one table put into new_schema
+    assert len(tap_catalog["streams"]) == 1
+    assert tap_catalog["streams"][0]["stream"] == altered_table_name
+
+
 class PostgresTestRunner(TapTestRunner):
     def run_sync_dry_run(self) -> bool:
         """