codeant-ai-for-open-source[bot] commented on code in PR #37368:
URL: https://github.com/apache/superset/pull/37368#discussion_r2721218681


##########
superset/db_engine_specs/mongodb.py:
##########
@@ -0,0 +1,123 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""MongoDB engine spec for Superset.
+
+Uses PyMongoSQL (https://github.com/passren/PyMongoSQL) as the SQLAlchemy 
dialect
+to enable SQL queries on MongoDB collections.
+"""
+
+from __future__ import annotations
+
+from datetime import datetime
+from typing import Any, Optional
+
+from sqlalchemy import types
+
+from superset.constants import TimeGrain
+from superset.db_engine_specs.base import BaseEngineSpec, DatabaseCategory
+
+
+class MongoDBEngineSpec(BaseEngineSpec):
+    """Engine spec for MongoDB using PyMongoSQL dialect."""
+
+    engine = "mongodb"
+    engine_name = "MongoDB"
+    force_column_alias_quotes = False
+
+    metadata = {
+        "description": ("MongoDB is a document-oriented, operational NoSQL 
database."),
+        "logo": "mongodb.png",
+        "homepage_url": "https://www.mongodb.com/";,
+        "categories": [
+            DatabaseCategory.SEARCH_NOSQL,
+            DatabaseCategory.PROPRIETARY,
+        ],
+        "pypi_packages": ["pymongosql"],
+        "connection_string": (
+            
"mongodb://{username}:{password}@{host}:{port}/{database}?mode=superset"
+        ),
+        "parameters": {
+            "username": "Username for MongoDB",
+            "password": "Password for MongoDB",
+            "host": "MongoDB host",
+            "port": "MongoDB port",
+            "database": "Database name",
+        },
+        "drivers": [
+            {
+                "name": "MongoDB Atlas Cloud",
+                "pypi_package": "pymongosql",
+                "connection_string": 
"mongodb+srv://{username}:{password}@{host}/{database}?mode=superset",
+                "notes": "For MongoDB Atlas cloud service.",
+                "is_recommended": True,
+            },
+            {
+                "name": "MongoDB Cluster",
+                "pypi_package": "pymongosql",
+                "connection_string": 
"mongodb://{username}:{password}@{host}:{port}/{database}?mode=superset",
+                "is_recommended": False,
+                "notes": ("For self-hosted MongoDB instances."),
+            },
+        ],
+        "notes": "Uses PartiQL for SQL queries. Requires mode=superset 
parameter.",
+        "docs_url": "https://github.com/passren/PyMongoSQL";,
+    }
+
+    _time_grain_expressions = {
+        None: "{col}",
+        TimeGrain.SECOND: "DATETIME(STRFTIME('%Y-%m-%dT%H:%M:%S', {col}))",
+        TimeGrain.MINUTE: "DATETIME(STRFTIME('%Y-%m-%dT%H:%M:00', {col}))",
+        TimeGrain.HOUR: "DATETIME(STRFTIME('%Y-%m-%dT%H:00:00', {col}))",
+        TimeGrain.DAY: "DATETIME({col}, 'start of day')",
+        TimeGrain.WEEK: (
+            "DATETIME({col}, 'start of day', -strftime('%w', {col}) || ' 
days')"
+        ),
+        TimeGrain.MONTH: "DATETIME({col}, 'start of month')",
+        TimeGrain.QUARTER: (
+            "DATETIME({col}, 'start of month', "
+            "printf('-%d month', (strftime('%m', {col}) - 1) % 3))"
+        ),
+        TimeGrain.YEAR: "DATETIME({col}, 'start of year')",
+        TimeGrain.WEEK_ENDING_SATURDAY: "DATETIME({col}, 'start of day', 
'weekday 6')",
+        TimeGrain.WEEK_ENDING_SUNDAY: "DATETIME({col}, 'start of day', 
'weekday 0')",
+        TimeGrain.WEEK_STARTING_SUNDAY: (
+            "DATETIME({col}, 'start of day', 'weekday 0', '-7 days')"
+        ),
+        TimeGrain.WEEK_STARTING_MONDAY: (
+            "DATETIME({col}, 'start of day', 'weekday 1', '-7 days')"
+        ),
+    }
+
+    @classmethod
+    def epoch_to_dttm(cls) -> str:
+        return "datetime({col}, 'unixepoch')"
+
+    @classmethod
+    def convert_dttm(
+        cls,
+        target_type: str,
+        dttm: datetime,
+        db_extra: Optional[dict[str, Any]] = None,
+    ) -> Optional[str]:
+        """Convert Python datetime to MongoDB/SQL datetime string."""
+        sqla_type = cls.get_sqla_column_type(target_type)
+
+        if isinstance(sqla_type, (types.String, types.DateTime)):
+            # Return ISO format datetime string for MongoDB compatibility
+            return f"""'{dttm.isoformat(sep=" ", timespec="seconds")}'"""

Review Comment:
   **Suggestion:** convert_dttm only handles `String` and `DateTime` SQLAlchemy 
types; DATE and TIMESTAMP columns will not be converted and the function will 
return None, potentially breaking queries against DATE/TIMESTAMP 
columns—include `types.Date` and `types.TIMESTAMP` in the type check so common 
date column types are handled. [possible bug]
   
   <details>
   <summary><b>Severity Level:</b> Critical 🚨</summary>
   
   ```mdx
   - ❌ Temporal filters fail for DATE/TIMESTAMP columns.
   - ❌ Query generation omits datetime literals.
   - ⚠️ Unit tests for datetime conversion may fail.
   ```
   </details>
   
   ```suggestion
           if isinstance(sqla_type, (types.String, types.DateTime, types.Date, 
types.TIMESTAMP)):
               # Return ISO format datetime string for MongoDB compatibility
               return f'''{dttm.isoformat(sep=" ", timespec="seconds")!r}'''
   ```
   <details>
   <summary><b>Steps of Reproduction ✅ </b></summary>
   
   ```mdx
   1. Open convert_dttm in superset/db_engine_specs/mongodb.py (method defined 
around lines
   109-123). It calls cls.get_sqla_column_type(target_type) (see
   BaseEngineSpec.get_sqla_column_type in superset/db_engine_specs/base.py 
lines 2252-2271).
   
   2. Ensure a table has a native column type that maps to SQLAlchemy's 
types.Date or
   types.TIMESTAMP (this mapping is produced by 
get_column_spec/get_sqla_column_type in
   BaseEngineSpec).
   
   3. Call code-paths that render datetime literals for filters/time predicates 
(Superset
   builds SQL using EngineSpec.convert_dttm when substituting datetime values 
into queries).
   Because convert_dttm currently only matches types.String and types.DateTime, 
a sqla_type
   of types.Date or types.TIMESTAMP will not match and the function will return 
None.
   
   4. Observe behavior: the query builder receives None instead of a datetime 
literal,
   causing either a malformed SQL fragment or a fallback code path that may 
produce incorrect
   queries. Running unit tests for datetime conversion
   (tests/unit_tests/db_engine_specs/test_mongodb.py from the PR) will expose 
missing
   handling for DATE/TIMESTAMP types.
   ```
   </details>
   <details>
   <summary><b>Prompt for AI Agent 🤖 </b></summary>
   
   ```mdx
   This is a comment left during a code review.
   
   **Path:** superset/db_engine_specs/mongodb.py
   **Line:** 119:121
   **Comment:**
        *Possible Bug: convert_dttm only handles `String` and `DateTime` 
SQLAlchemy types; DATE and TIMESTAMP columns will not be converted and the 
function will return None, potentially breaking queries against DATE/TIMESTAMP 
columns—include `types.Date` and `types.TIMESTAMP` in the type check so common 
date column types are handled.
   
   Validate the correctness of the flagged issue. If correct, How can I resolve 
this? If you propose a fix, implement it and please make it concise.
   ```
   </details>



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