backend/director/tools/twelvelabs_tool.py (4)

93-93: 📐 Maintainability & Code Quality | 🔵 Trivial | ⚡ Quick win

Use explicit Optional type hint for optional parameters.

Same as the analyze_video method—PEP 484 recommends explicit | None.

♻️ Proposed fix

- def get_text_embedding(self, text: str, config: dict = None) -> list:
+ def get_text_embedding(self, text: str, config: dict | None = None) -> list:

🤖 Prompt for AI Agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@backend/director/tools/twelvelabs_tool.py` at line 93, Update the type hint
for the config parameter in the get_text_embedding method to use explicit
Optional typing. Change the parameter declaration from config: dict = None to
config: Optional[dict] = None, following PEP 484 conventions. Ensure that
Optional is imported from the typing module at the top of the file if it is not
already imported.

Source: Linters/SAST tools

---

63-63: 📐 Maintainability & Code Quality | 🔵 Trivial | ⚡ Quick win

Use explicit Optional type hint for optional parameters.

PEP 484 recommends config: dict | None = None over the implicit config: dict = None pattern.

♻️ Proposed fix

 def analyze_video(
 self,
 video_url: str,
 prompt: str,
- config: dict = None,
+ config: dict | None = None,
 ) -> str:

🤖 Prompt for AI Agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@backend/director/tools/twelvelabs_tool.py` at line 63, The config parameter
in twelvelabs_tool.py uses an implicit None type hint (config: dict = None)
which is not explicitly clear according to PEP 484. Change this to use explicit
Optional type hints by either using the union syntax (config: dict | None = None
for Python 3.10+) or importing Optional from typing and using (config:
Optional[dict] = None). Apply this same fix to any other parameters in the file
that follow the same implicit None pattern.

Source: Linters/SAST tools

---

87-90: 📐 Maintainability & Code Quality | 🔵 Trivial | ⚡ Quick win

Chain exception context when re-raising.

Python best practice recommends using raise ... from e to preserve the exception chain and make debugging easier. This helps distinguish between errors in the SDK call versus errors in exception handling itself.

♻️ Proposed fix

 except Exception as e:
- raise Exception(
- f"Error analyzing video with TwelveLabs: {type(e).__name__}: {str(e)}"
- )
+ raise Exception(
+ f"Error analyzing video with TwelveLabs: {type(e).__name__}: {e}"
+ ) from e

🤖 Prompt for AI Agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@backend/director/tools/twelvelabs_tool.py` around lines 87 - 90, In the
exception handling block where the Exception is raised after catching the
TwelveLabs SDK error, use the `raise ... from e` syntax instead of just `raise
Exception(...)` to preserve the exception chain. This means changing the raise
statement to include `from e` at the end, which will maintain the original
exception context and make debugging easier by showing the full traceback chain
between the original error and the new exception being raised.

Source: Linters/SAST tools

---

111-114: 📐 Maintainability & Code Quality | 🔵 Trivial | ⚡ Quick win

Chain exception context when re-raising.

Same best practice as the analyze_video method—preserve the exception chain with from e.

♻️ Proposed fix

 except Exception as e:
- raise Exception(
- f"Error creating embedding with TwelveLabs: {type(e).__name__}: {str(e)}"
- )
+ raise Exception(
+ f"Error creating embedding with TwelveLabs: {type(e).__name__}: {e}"
+ ) from e

🤖 Prompt for AI Agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@backend/director/tools/twelvelabs_tool.py` around lines 111 - 114, Preserve
the exception chain in the exception handler block where the Exception is
re-raised with the error message containing type(e).__name__ and str(e). Add
`from e` to the raise statement to maintain the original exception context,
which improves debugging by showing the complete exception chain rather than
just the error message details.

Source: Linters/SAST tools

backend/director/agents/video_understanding.py (1)

68-68: 📐 Maintainability & Code Quality | 🔵 Trivial | ⚡ Quick win

Use explicit Optional type hint for optional parameters.

Consistent with the recommendation for TwelveLabsTool, use twelvelabs_config: dict | None = None for PEP 484 compliance.

♻️ Proposed fix

 def run(
 self,
 collection_id: str,
 video_id: str,
 prompt: str,
- twelvelabs_config: dict = None,
+ twelvelabs_config: dict | None = None,
 *args,
 **kwargs,
 ) -> AgentResponse:

🤖 Prompt for AI Agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@backend/director/agents/video_understanding.py` at line 68, The type hint for
the `twelvelabs_config` parameter is missing the explicit `Optional` annotation
for the None type. Update the parameter declaration to use the union syntax
`dict | None` instead of just `dict` to properly indicate that the parameter can
accept either a dictionary or None value, ensuring PEP 484 compliance with the
rest of the codebase.

Source: Linters/SAST tools

backend/tests/test_twelvelabs_tool.py (1)

21-23: 📐 Maintainability & Code Quality | 🔵 Trivial | 💤 Low value

Consider using a more specific exception type.

While the current implementation raises a generic Exception, consider introducing a custom exception type (e.g., TwelveLabsConfigError) in the future for better error handling and more precise test assertions.

🤖 Prompt for AI Agents

Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@backend/tests/test_twelvelabs_tool.py` around lines 21 - 23, The
test_requires_api_key function in test_twelvelabs_tool.py is catching a generic
Exception type instead of a specific custom exception. Create a custom exception
class named TwelveLabsConfigError to handle TwelveLabs configuration errors,
update the TwelveLabsTool constructor to raise this specific exception when the
api_key parameter is empty, and then update the pytest.raises() call in
test_requires_api_key to expect TwelveLabsConfigError instead of the generic
Exception type for more precise error handling.

Source: Linters/SAST tools

Fix all unresolved CodeRabbit comments on this PR:

• Push a commit to this branch (recommended)
• Create a new PR with the fixes