51 lines
1.3 KiB
Python
51 lines
1.3 KiB
Python
import os
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import tempfile
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import shutil
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import json
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from pathlib import Path
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import chromadb
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from chromadb.config import Settings
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from src.ingest import ingest_faq
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from src.retriever import get_answer
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def test_retrieval(tmp_path, monkeypatch):
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# Mock OpenAI API key
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monkeypatch.setenv("OPENAI_API_KEY", "test_key")
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# Create a temporary FAQ file
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faq_content = """Q: What is Python?
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A: Python is a programming language.
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Q: What is ChromaDB?
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A: ChromaDB is a vector database."""
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faq_file = tmp_path / "faq.txt"
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faq_file.write_text(faq_content, encoding="utf-8")
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# Initialize a temporary ChromaDB client
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db_dir = tmp_path / "chromadb"
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client = chromadb.Client(Settings(
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chroma_db_impl="duckdb+parquet",
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persist_directory=str(db_dir)
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))
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collection_name = "test_collection"
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# Ingest
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ingest_faq(faq_file, client, collection_name)
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# Mock OpenAIChat to avoid real API calls
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class DummyLLM:
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def __call__(self, *args, **kwargs):
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return "Dummy answer"
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# Patch the LLM in retriever
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monkeypatch.setattr("src.retriever.OpenAIChat", DummyLLM)
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# Retrieve answer
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answer = get_answer("What is Python?", client, collection_name)
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assert answer == "Dummy answer"
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# Clean up
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shutil.rmtree(db_dir) |