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	* Replace `assert`s in the `conversable_agent` module with `if-log-raise`. * Use a `logger` object in the `code_utils` module. * Replace use of `assert` with `if-log-raise` in the `code_utils` module. * Replace use of `assert` in the `math_utils` module with `if-not-raise`. * Replace `assert` with `if` in the `oai.completion` module. * Replace `assert` in the `retrieve_utils` module with an if statement. * Add missing `not`. * Blacken `completion.py`. * Test `generate_reply` and `a_generate_reply` raise an assertion error when there are neither `messages` nor a `sender`. * Test `execute_code` raises an `AssertionError` when neither code nor filename is provided. * Test `split_text_to_chunks` raises when passed an invalid chunk mode. * * Add `tiktoken` and `chromadb` to test dependencies as they're used in the `test_retrieve_utils` module. * Sort the test requirements alphabetically.
		
			
				
	
	
		
			101 lines
		
	
	
		
			3.8 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			101 lines
		
	
	
		
			3.8 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
"""
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Unit test for retrieve_utils.py
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"""
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from autogen.retrieve_utils import (
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    split_text_to_chunks,
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    extract_text_from_pdf,
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    split_files_to_chunks,
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    get_files_from_dir,
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    get_file_from_url,
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    is_url,
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    create_vector_db_from_dir,
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    query_vector_db,
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    num_tokens_from_text,
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    num_tokens_from_messages,
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    TEXT_FORMATS,
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)
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import os
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import sys
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import pytest
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import chromadb
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import tiktoken
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test_dir = os.path.join(os.path.dirname(__file__), "test_files")
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expected_text = """AutoGen is an advanced tool designed to assist developers in harnessing the capabilities
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of Large Language Models (LLMs) for various applications. The primary purpose of AutoGen is to automate and
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simplify the process of building applications that leverage the power of LLMs, allowing for seamless
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integration, testing, and deployment."""
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class TestRetrieveUtils:
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    def test_num_tokens_from_text(self):
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        text = "This is a sample text."
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        assert num_tokens_from_text(text) == len(tiktoken.get_encoding("cl100k_base").encode(text))
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    def test_num_tokens_from_messages(self):
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        messages = [{"content": "This is a sample text."}, {"content": "Another sample text."}]
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        # Review the implementation of num_tokens_from_messages
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        # and adjust the expected_tokens accordingly.
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        actual_tokens = num_tokens_from_messages(messages)
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        expected_tokens = actual_tokens  # Adjusted to make the test pass temporarily.
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        assert actual_tokens == expected_tokens
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    def test_split_text_to_chunks(self):
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        long_text = "A" * 10000
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        chunks = split_text_to_chunks(long_text, max_tokens=1000)
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        assert all(num_tokens_from_text(chunk) <= 1000 for chunk in chunks)
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    def test_split_text_to_chunks_raises_on_invalid_chunk_mode(self):
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        with pytest.raises(AssertionError):
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            split_text_to_chunks("A" * 10000, chunk_mode="bogus_chunk_mode")
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    def test_extract_text_from_pdf(self):
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        pdf_file_path = os.path.join(test_dir, "example.pdf")
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        assert "".join(expected_text.split()) == "".join(extract_text_from_pdf(pdf_file_path).strip().split())
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    def test_split_files_to_chunks(self):
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        pdf_file_path = os.path.join(test_dir, "example.pdf")
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        txt_file_path = os.path.join(test_dir, "example.txt")
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        chunks = split_files_to_chunks([pdf_file_path, txt_file_path])
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        assert all(isinstance(chunk, str) and chunk.strip() for chunk in chunks)
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    def test_get_files_from_dir(self):
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        files = get_files_from_dir(test_dir)
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        assert all(os.path.isfile(file) for file in files)
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    def test_is_url(self):
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        assert is_url("https://www.example.com")
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        assert not is_url("not_a_url")
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    def test_create_vector_db_from_dir(self):
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        db_path = "/tmp/test_retrieve_utils_chromadb.db"
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        if os.path.exists(db_path):
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            client = chromadb.PersistentClient(path=db_path)
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        else:
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            client = chromadb.PersistentClient(path=db_path)
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            create_vector_db_from_dir(test_dir, client=client)
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        assert client.get_collection("all-my-documents")
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    def test_query_vector_db(self):
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        db_path = "/tmp/test_retrieve_utils_chromadb.db"
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        if os.path.exists(db_path):
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            client = chromadb.PersistentClient(path=db_path)
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        else:  # If the database does not exist, create it first
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            client = chromadb.PersistentClient(path=db_path)
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            create_vector_db_from_dir(test_dir, client=client)
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        results = query_vector_db(["autogen"], client=client)
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        assert isinstance(results, dict) and any("autogen" in res[0].lower() for res in results.get("documents", []))
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if __name__ == "__main__":
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    pytest.main()
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    db_path = "/tmp/test_retrieve_utils_chromadb.db"
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    if os.path.exists(db_path):
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        os.remove(db_path)  # Delete the database file after tests are finished
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