feat: Create BigQuery Parameters for DatabaseModal

superset/databases/api.py

@@ -66,7 +66,6 @@
 )
 from superset.databases.utils import get_table_metadata
 from superset.db_engine_specs import get_available_engine_specs
-from superset.db_engine_specs.base import BasicParametersMixin
 from superset.exceptions import InvalidPayloadFormatError, InvalidPayloadSchemaError
 from superset.extensions import security_manager
 from superset.models.core import Database
@@ -909,11 +908,15 @@ def available(self) -> Response:
                 "preferred": engine_spec.engine in preferred_databases,
             }
 
-            if issubclass(engine_spec, BasicParametersMixin):
-                payload["parameters"] = engine_spec.parameters_json_schema()
+            if hasattr(engine_spec, "parameters_json_schema") or hasattr(
+                engine_spec, "sqlalchemy_uri_placeholder"
+            ):
+                payload[
+                    "parameters"
+                ] = engine_spec.parameters_json_schema()  # type: ignore
                 payload[
                     "sqlalchemy_uri_placeholder"
-                ] = engine_spec.sqlalchemy_uri_placeholder
+                ] = engine_spec.sqlalchemy_uri_placeholder  # type: ignore
 
             available_databases.append(payload)
 

superset/databases/commands/validate.py

@@ -83,7 +83,8 @@ def run(self) -> None:
 
         # try to connect
         sqlalchemy_uri = engine_spec.build_sqlalchemy_uri(
-            self._properties["parameters"]  # type: ignore
+            self._properties["parameters"],  # type: ignore
+            self._properties.get("encrypted_extra", "{}"),
         )
         if self._model and sqlalchemy_uri == self._model.safe_sqlalchemy_uri():
             sqlalchemy_uri = self._model.sqlalchemy_uri_decrypted

superset/databases/schemas.py

@@ -246,6 +246,8 @@ def build_sqlalchemy_uri(
         the constructed SQLAlchemy URI to be passed.
         """
         parameters = data.pop("parameters", None)
+        encrypted_extra = data.get("encrypted_extra", None)
+
         if parameters:
             if "engine" not in parameters:
                 raise ValidationError(
@@ -275,7 +277,9 @@ def build_sqlalchemy_uri(
                     ]
                 )
 
-            data["sqlalchemy_uri"] = engine_spec.build_sqlalchemy_uri(parameters)
+            data["sqlalchemy_uri"] = engine_spec.build_sqlalchemy_uri(
+                parameters, encrypted_extra
+            )
         return data
 
 

superset/db_engine_specs/base.py

@@ -1348,7 +1348,11 @@ class BasicParametersMixin:
     encryption_parameters: Dict[str, str] = {}
 
     @classmethod
-    def build_sqlalchemy_uri(cls, parameters: BasicParametersType) -> str:
+    def build_sqlalchemy_uri(
+        cls,
+        parameters: BasicParametersType,
+        encryted_extra: Optional[Dict[str, str]] = None,
+    ) -> str:
         query = parameters.get("query", {})
         if parameters.get("encryption"):
             if not cls.encryption_parameters:

superset/db_engine_specs/bigquery.py

@@ -19,12 +19,17 @@
 from typing import Any, Dict, List, Optional, Pattern, Tuple, TYPE_CHECKING
 
 import pandas as pd
+from apispec import APISpec
+from apispec.ext.marshmallow import MarshmallowPlugin
 from flask_babel import gettext as __
+from marshmallow import fields, Schema
 from sqlalchemy import literal_column
 from sqlalchemy.sql.expression import ColumnClause
+from typing_extensions import TypedDict
 
 from superset.db_engine_specs.base import BaseEngineSpec
 from superset.errors import SupersetErrorType
+from superset.exceptions import SupersetGenericDBErrorException
 from superset.sql_parse import Table
 from superset.utils import core as utils
 from superset.utils.hashing import md5_sha_from_str
@@ -38,6 +43,28 @@
     + "permission in project (?P<project>.+?)"
 )
 
+ma_plugin = MarshmallowPlugin()
+
+
+class EncryptedField(fields.String):
+    pass
+
+
+class BigQueryParametersSchema(Schema):
+    credentials_info = EncryptedField(description="credentials.json file for BigQuery")
+
+
+def encrypted_field_properties(self, field: Any, **_) -> Dict[str, Any]:  # type: ignore
+    ret = {}
+    if isinstance(field, EncryptedField):
+        if self.openapi_version.major > 2:
+            ret["x-encrypted-extra"] = True
+    return ret
+
+
+class BigQueryParametersType(TypedDict):
+    pass
+
 
 class BigQueryEngineSpec(BaseEngineSpec):
     """Engine spec for Google's BigQuery
@@ -48,6 +75,10 @@ class BigQueryEngineSpec(BaseEngineSpec):
     engine_name = "Google BigQuery"
     max_column_name_length = 128
 
+    parameters_schema = BigQueryParametersSchema()
+    drivername = engine
+    sqlalchemy_uri_placeholder = "bigquery://{project_id}"
+
     # BigQuery doesn't maintain context when running multiple statements in the
     # same cursor, so we need to run all statements at once
     run_multiple_statements_as_one = True
@@ -282,3 +313,40 @@ def df_to_sql(
                 to_gbq_kwargs[key] = to_sql_kwargs[key]
 
         pandas_gbq.to_gbq(df, **to_gbq_kwargs)
+
+    @classmethod
+    def build_sqlalchemy_uri(
+        cls, _: BigQueryParametersType, encrypted_extra: Optional[Dict[str, str]] = None
+    ) -> str:
+        if encrypted_extra:
+            project_id = encrypted_extra.get("project_id")
+            return f"{cls.drivername}://{project_id}"
+
+        raise SupersetGenericDBErrorException(
+            message="Big Query encrypted_extra is not available",
+        )
+
+    @classmethod
+    def get_parameters_from_uri(cls, _: str) -> Any:
+        # BigQuery doesn't have parameters
+        return None
+
+    @classmethod
+    def parameters_json_schema(cls) -> Any:
+        """
+        Return configuration parameters as OpenAPI.
+        """
+        if not cls.parameters_schema:
+            return None
+
+        spec = APISpec(
+            title="Database Parameters",
+            version="1.0.0",
+            openapi_version="3.0.0",
+            plugins=[ma_plugin],
+        )
+
+        ma_plugin.init_spec(spec)
+        ma_plugin.converter.add_attribute_function(encrypted_field_properties)
+        spec.components.schema(cls.__name__, schema=cls.parameters_schema)
+        return spec.to_dict()["components"]["schemas"][cls.__name__]

superset/models/core.py

@@ -241,6 +241,7 @@ def backend(self) -> str:
     def parameters(self) -> Dict[str, Any]:
         # Build parameters if db_engine_spec is a subclass of BasicParametersMixin
         parameters = {"engine": self.backend}
+
         if hasattr(self.db_engine_spec, "parameters_schema") and hasattr(
             self.db_engine_spec, "get_parameters_from_uri"
         ):

tests/databases/api_tests.py

@@ -36,6 +36,7 @@
 from superset.connectors.sqla.models import SqlaTable
 from superset.db_engine_specs.mysql import MySQLEngineSpec
 from superset.db_engine_specs.postgres import PostgresEngineSpec
+from superset.db_engine_specs.bigquery import BigQueryEngineSpec
 from superset.db_engine_specs.hana import HanaEngineSpec
 from superset.errors import SupersetError
 from superset.models.core import Database, ConfigurationMethod
@@ -1373,6 +1374,7 @@ def test_available(self, app, get_available_engine_specs):
         app.config = {"PREFERRED_DATABASES": ["postgresql"]}
         get_available_engine_specs.return_value = [
             PostgresEngineSpec,
+            BigQueryEngineSpec,
             HanaEngineSpec,
         ]
 
@@ -1428,6 +1430,22 @@ def test_available(self, app, get_available_engine_specs):
                     "preferred": True,
                     "sqlalchemy_uri_placeholder": "postgresql+psycopg2://user:password@host:port/dbname[?key=value&key=value...]",
                 },
+                {
+                    "engine": "bigquery",
+                    "name": "Google BigQuery",
+                    "parameters": {
+                        "properties": {
+                            "credentials_info": {
+                                "description": "credentials.json file for BigQuery",
+                                "type": "string",
+                                "x-encrypted-extra": True,
+                            }
+                        },
+                        "type": "object",
+                    },
+                    "preferred": False,
+                    "sqlalchemy_uri_placeholder": "bigquery://{project_id}",
+                },
                 {"engine": "hana", "name": "SAP HANA", "preferred": False},
             ]
         }

tests/db_engine_specs/postgres_tests.py

@@ -432,7 +432,10 @@ def test_base_parameters_mixin():
         "query": {"foo": "bar"},
         "encryption": True,
     }
-    sqlalchemy_uri = PostgresEngineSpec.build_sqlalchemy_uri(parameters)
+    encrypted_extra = None
+    sqlalchemy_uri = PostgresEngineSpec.build_sqlalchemy_uri(
+        parameters, encrypted_extra
+    )
     assert sqlalchemy_uri == (
         "postgresql+psycopg2://username:password@localhost:5432/dbname?"
         "foo=bar&sslmode=verify-ca"