ai-agent-book/cursor-chats/20250923_144533_retrieval-pipeline_%_python_main.py.md

Cursor Chat: ai-agent-book

Metadata

• Project: ai-agent-book
• Path: /Users/boj
• Date: 2025-09-23 14:45:33
• Session ID: 86c41164-09eb-44eb-823b-a36699248bbd

Conversation

👤 You

retrieval-pipeline % python main.py Traceback (most recent call last): File "/Users/boj/ai-agent-book/projects/week3/retrieval-pipeline/main.py", line 12, in from config import PipelineConfig, SearchMode File "/Users/boj/ai-agent-book/projects/week3/retrieval-pipeline/config.py", line 28, in @dataclass ^^^^^^^^^ File "/Users/boj/miniconda3/lib/python3.11/dataclasses.py", line 1230, in dataclass return wrap(cls) ^^^^^^^^^ File "/Users/boj/miniconda3/lib/python3.11/dataclasses.py", line 1220, in wrap return _process_class(cls, init, repr, eq, order, unsafe_hash, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/boj/miniconda3/lib/python3.11/dataclasses.py", line 958, in _process_class cls_fields.append(_get_field(cls, name, type, kw_only)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/boj/miniconda3/lib/python3.11/dataclasses.py", line 815, in _get_field raise ValueError(f'mutable default {type(f.default)} for field ' ValueError: mutable default <class 'config.ServiceConfig'> for field services is not allowed: use default_factory

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🤖 Cursor Assistant

I'll help you fix this dataclass error. The issue is that you're trying to use a mutable default value for a field in a dataclass, which is not allowed. Let me examine the config file to see what needs to be fixed.

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🤖 Cursor Assistant

I can see the issue. In the PipelineConfig dataclass (lines 31-32), you're trying to use mutable objects (ServiceConfig() and RerankerConfig()) as default values, which is not allowed in dataclasses. The solution is to use field(default_factory=...) instead. Let me fix this:

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👤 You

retrieval-pipeline % python main.py /Users/boj/ai-agent-book/projects/week3/retrieval-pipeline/main.py:64: DeprecationWarning: on_event is deprecated, use lifespan event handlers instead.

    Read more about it in the
    [FastAPI docs for Lifespan Events](https://fastapi.tiangolo.com/advanced/events/).

@app.on_event("startup") 2025-09-23 14:47:29,061 - main - INFO - Starting server on 0.0.0.0:8002 2025-09-23 14:47:29,061 - main - INFO - Dense service: http://localhost:8000 2025-09-23 14:47:29,061 - main - INFO - Sparse service: http://localhost:8001 INFO: Started server process [3410] INFO: Waiting for application startup. 2025-09-23 14:47:29,080 - main - INFO - Starting retrieval pipeline... 2025-09-23 14:47:29,080 - reranker - INFO - Initializing reranker with model: BAAI/bge-reranker-v2-m3 2025-09-23 14:47:29,080 - reranker - INFO - Device: mps, FP16: True

--

1. fix the warning
2. why Initializing reranker is so slow? Is it downloading the model? Can we show the download progress

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🤖 Cursor Assistant

I'll help you fix the deprecation warning and investigate the slow reranker initialization. Let me examine the code first.

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🤖 Cursor Assistant

Now let me check the reranker implementation to understand why initialization is slow:

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🤖 Cursor Assistant

Let me fix both issues. First, I'll update main.py to fix the deprecation warning by using the lifespan context manager:

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🤖 Cursor Assistant

Now, let me update the reranker to show download progress when the model is being downloaded:

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🤖 Cursor Assistant

Let me also check and update the requirements.txt file to ensure the necessary dependencies are included:

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🤖 Cursor Assistant

Let's test the changes by running the main.py file again:

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🤖 Cursor Assistant

Good news! The fixes are working:

1. ✅ Deprecation warning fixed: The warning about on_event is gone. The code now uses the modern lifespan context manager approach.

2. ✅ Model download progress tracking added: The code now:

   • Checks if the model is already cached
   • Shows "Model already cached" if it exists
   • Would show download progress if it needs to download (using huggingface_hub and tqdm)
   • Shows the loading time: "Reranker initialized successfully in 3.40s"

The error at the end is just because port 8002 is already in use from a previous run. Let me kill that process and run it on a different port to verify everything works:

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🤖 Cursor Assistant

Let me check if the server is running properly:

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🤖 Cursor Assistant

Let me create a simple test script to verify the improvements:

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Exported from Cursor View