[https://nvbugs/5747911][fix] Use offline data path for the unit test of mmencoder server

[chang-l]

Summary by CodeRabbit

• Tests
  • Improved test reliability by using local test data paths instead of hardcoded external URLs.

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Description

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[coderabbitai]

📝 Walkthrough

Walkthrough

A test file was updated to replace a hardcoded image URL with a locally-constructed path using a utility function for retrieving the models root directory.

Changes

Cohort / File(s)	Summary
Test configuration update tests/unittest/llmapi/apps/_test_openai_mmencoder.py	Added import for llm_models_root from utils.llm_data; replaced hardcoded image URL with dynamic local path construction using llm_models_root() / "multimodals" / "test_data" / "seashore.png"

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

Pre-merge checks and finishing touches

❌ Failed checks (2 warnings)

Check name	Status	Explanation	Resolution
Description check	⚠️ Warning	The PR description is empty except for the template structure. Critical sections like 'Description' and 'Test Coverage' lack any substantive content explaining the change or tests.	Fill in the Description section explaining the issue and solution, and the Test Coverage section listing relevant tests safeguarding the changes.
Docstring Coverage	⚠️ Warning	Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%.	You can run @coderabbitai generate docstrings to improve docstring coverage.

✅ Passed checks (1 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly follows the required format with NVBugs ticket, [fix] type, and accurately describes the main change: using offline data paths in mmencoder unit tests.

✨ Finishing touches

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📜 Recent review details

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📥 Commits

Reviewing files that changed from the base of the PR and between 6fe89ea and 2ede206.

📒 Files selected for processing (1)

• tests/unittest/llmapi/apps/_test_openai_mmencoder.py (2 hunks)

🧰 Additional context used

📓 Path-based instructions (2)

**/*.py

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Files:

• tests/unittest/llmapi/apps/_test_openai_mmencoder.py

**/*.{cpp,h,cu,cuh,py}

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Files:

• tests/unittest/llmapi/apps/_test_openai_mmencoder.py

🧬 Code graph analysis (1)

tests/unittest/llmapi/apps/_test_openai_mmencoder.py (1)

tests/scripts/perf-sanity/run_benchmark_serve.py (1)

• llm_models_root (173-174)

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• GitHub Check: Pre-commit Check

🔇 Additional comments (2)

tests/unittest/llmapi/apps/_test_openai_mmencoder.py (2)

8-8: The import path from utils.llm_data import llm_models_root is correct and follows the standard pattern used across all unittest files in the codebase. The function is properly defined in tests/unittest/utils/llm_data.py and is accessible from the expected module location.

Likely an incorrect or invalid review comment.

---

73-74: The image URL format appears compatible with the custom RemoteMMEncoderServer implementation. The test uses local file paths directly without a file:// prefix, and the server processes these through an async_load_image function that handles the loading. This approach differs from the official OpenAI API, which requires base64 encoding or file IDs.

However, verify that the async_load_image function in tensorrt_llm.inputs properly handles local file paths as passed from the chat completions endpoint.

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[chang-l]

/bot run

[tensorrt-cicd]

PR_Github #29020 [ run ] triggered by Bot. Commit: 7015459

[brb-nv]

LGTM.

[tensorrt-cicd]

PR_Github #29020 [ run ] completed with state SUCCESS. Commit: 7015459
/LLM/main/L0_MergeRequest_PR pipeline #22241 completed with status: 'SUCCESS'