⚡️ Speed up method AstraDBVectorStoreComponent._initialize_collection_options by 38% in PR #6202 (codeflash/optimize-pr6028-2025-02-07T20.23.30)

[codeflash-ai]

⚡️ This pull request contains optimizations for PR #6202

If you approve this dependent PR, these changes will be merged into the original PR branch codeflash/optimize-pr6028-2025-02-07T20.23.30.

This PR will be automatically closed if the original PR is merged.

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📄 38% (0.38x) speedup for AstraDBVectorStoreComponent._initialize_collection_options in src/backend/base/langflow/components/vectorstores/astradb.py

⏱️ Runtime : 519 milliseconds → 376 milliseconds (best of 5 runs)

📝 Explanation and details

Certainly! To optimize the program, I'll focus on reducing redundant calls, improving error handling, and using list comprehensions for efficiency where possible.

Here's a refactored version of your code.

Changes Made.

1. Eliminated Redundant Database Calls: Ensure that all operations that can be performed after a single database call are batched together, particularly avoiding fetching the database object multiple times.
2. Error Handling: Improved exception messages and avoided redundant log statements.
3. List Comprehensions: Employed list comprehensions for better performance and cleaner code.
4. Minimal Changes: Since we are not supposed to change function signatures or the overall structure significantly, modifications were minimal.

This refactored code should offer a slight performance boost, particularly when initializing collection options.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 15 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	undefined

🌀 Generated Regression Tests Details

from unittest.mock import MagicMock, patch

# imports
import pytest  # used for our unit tests
# function to test
from astrapy import Database
from langflow.base.vectorstores.model import LCVectorStoreComponent
from langflow.components.vectorstores.astradb import \
    AstraDBVectorStoreComponent

# unit tests

@pytest.fixture
def mock_database():
    # Mock database object
    mock_db = MagicMock(spec=Database)
    return mock_db

@pytest.fixture
def mock_component(mock_database):
    # Mock component with necessary attributes
    component = AstraDBVectorStoreComponent()
    component.client = MagicMock()
    component._database = mock_database
    component.keyspace = "test_keyspace"
    component.token = "test_token"
    return component

def test_single_collection(mock_component, mock_database):
    # Test with a single collection
    mock_collection = MagicMock()
    mock_collection.name = "collection1"
    mock_collection.options.vector.service.provider = "provider1"
    mock_collection.options.vector.service.model_name = "model1"
    mock_database.list_collections.return_value = [mock_collection]
    mock_database.get_collection.return_value.estimated_document_count.return_value = 10

    codeflash_output = mock_component._initialize_collection_options()

def test_multiple_collections(mock_component, mock_database):
    # Test with multiple collections
    mock_collection1 = MagicMock()
    mock_collection1.name = "collection1"
    mock_collection1.options.vector.service.provider = "provider1"
    mock_collection1.options.vector.service.model_name = "model1"
    mock_collection2 = MagicMock()
    mock_collection2.name = "collection2"
    mock_collection2.options.vector.service.provider = "provider2"
    mock_collection2.options.vector.service.model_name = "model2"
    mock_database.list_collections.return_value = [mock_collection1, mock_collection2]
    mock_database.get_collection.side_effect = [
        MagicMock(estimated_document_count=MagicMock(return_value=10)),
        MagicMock(estimated_document_count=MagicMock(return_value=20))
    ]

    codeflash_output = mock_component._initialize_collection_options()

def test_empty_keyspace(mock_component, mock_database):
    # Test with an empty keyspace
    mock_component.keyspace = ""
    mock_database.list_collections.return_value = []

    codeflash_output = mock_component._initialize_collection_options()

def test_special_characters_in_collection_name(mock_component, mock_database):
    # Test with special characters in collection name
    mock_collection = MagicMock()
    mock_collection.name = "!@#$%^&*()"
    mock_collection.options.vector.service.provider = "provider1"
    mock_collection.options.vector.service.model_name = "model1"
    mock_database.list_collections.return_value = [mock_collection]
    mock_database.get_collection.return_value.estimated_document_count.return_value = 10

    codeflash_output = mock_component._initialize_collection_options()

def test_nonexistent_keyspace(mock_component, mock_database):
    # Test with a nonexistent keyspace
    mock_database.list_collections.side_effect = ValueError("Keyspace does not exist")

    with pytest.raises(ValueError, match="Keyspace does not exist"):
        mock_component._initialize_collection_options()

def test_collections_without_vector_service(mock_component, mock_database):
    # Test collections without vector service
    mock_collection = MagicMock()
    mock_collection.name = "collection1"
    mock_collection.options.vector = None
    mock_database.list_collections.return_value = [mock_collection]
    mock_database.get_collection.return_value.estimated_document_count.return_value = 10

    codeflash_output = mock_component._initialize_collection_options()


def test_large_number_of_documents(mock_component, mock_database):
    # Test with collections having a large number of documents
    mock_collection = MagicMock()
    mock_collection.name = "collection1"
    mock_collection.options.vector.service.provider = "provider1"
    mock_collection.options.vector.service.model_name = "model1"
    mock_database.list_collections.return_value = [mock_collection]
    mock_database.get_collection.return_value.estimated_document_count.return_value = 1000000

    codeflash_output = mock_component._initialize_collection_options()
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

from unittest.mock import MagicMock, patch

# imports
import pytest  # used for our unit tests
# function to test
from astrapy import Database
from langflow.base.vectorstores.model import LCVectorStoreComponent
from langflow.components.vectorstores.astradb import \
    AstraDBVectorStoreComponent

# unit tests

@pytest.fixture
def mock_database():
    """Fixture to create a mock database object."""
    mock_db = MagicMock()
    mock_db.list_collections.return_value = []
    return mock_db

@pytest.fixture
def mock_collection():
    """Fixture to create a mock collection object."""
    mock_col = MagicMock()
    mock_col.name = "test_collection"
    mock_col.options.vector.service.provider = "test_provider"
    mock_col.options.vector.service.model_name = "test_model"
    return mock_col

@pytest.fixture
def component(mock_database):
    """Fixture to create an instance of AstraDBVectorStoreComponent with mocked methods."""
    component = AstraDBVectorStoreComponent()
    component.get_database_object = MagicMock(return_value=mock_database)
    component.get_keyspace = MagicMock(return_value="test_keyspace")
    component.collection_data = MagicMock(return_value=100)
    return component

def test_single_collection_with_data(component, mock_database, mock_collection):
    """Test case for a single collection with data."""
    mock_database.list_collections.return_value = [mock_collection]
    codeflash_output = component._initialize_collection_options()

def test_multiple_collections_with_data(component, mock_database, mock_collection):
    """Test case for multiple collections with data."""
    mock_collection2 = MagicMock()
    mock_collection2.name = "test_collection2"
    mock_collection2.options.vector.service.provider = "test_provider2"
    mock_collection2.options.vector.service.model_name = "test_model2"
    component.collection_data.side_effect = [100, 200]
    mock_database.list_collections.return_value = [mock_collection, mock_collection2]
    codeflash_output = component._initialize_collection_options()

def test_empty_keyspace(component, mock_database):
    """Test case for an empty keyspace."""
    component.get_keyspace.return_value = None
    codeflash_output = component._initialize_collection_options()

def test_no_collections_in_keyspace(component, mock_database):
    """Test case for no collections in keyspace."""
    mock_database.list_collections.return_value = []
    codeflash_output = component._initialize_collection_options()

def test_collection_with_no_documents(component, mock_database, mock_collection):
    """Test case for a collection with no documents."""
    component.collection_data.return_value = 0
    mock_database.list_collections.return_value = [mock_collection]
    codeflash_output = component._initialize_collection_options()

def test_collection_with_no_vector_options(component, mock_database):
    """Test case for a collection with no vector options."""
    mock_collection_no_vector = MagicMock()
    mock_collection_no_vector.name = "test_collection_no_vector"
    mock_collection_no_vector.options.vector = None
    mock_database.list_collections.return_value = [mock_collection_no_vector]
    codeflash_output = component._initialize_collection_options()

def test_database_connection_failure(component):
    """Test case for database connection failure."""
    component.get_database_object.side_effect = ValueError("Connection failed")
    with pytest.raises(ValueError, match="Connection failed"):
        component._initialize_collection_options()


def test_custom_api_endpoint(component, mock_database):
    """Test case for custom API endpoint."""
    codeflash_output = component._initialize_collection_options(api_endpoint="http://custom.endpoint")
    component.get_database_object.assert_called_with(api_endpoint="http://custom.endpoint")