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⚡️ Speed up method AstraDBVectorStoreComponent._initialize_collection_options by 21% in PR #6085 (codeflash/optimize-pr6048-2025-02-03T13.54.58) #6087

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@codeflash-ai codeflash-ai bot commented Feb 3, 2025

⚡️ This pull request contains optimizations for PR #6085

If you approve this dependent PR, these changes will be merged into the original PR branch codeflash/optimize-pr6048-2025-02-03T13.54.58.

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


📄 21% (0.21x) speedup for AstraDBVectorStoreComponent._initialize_collection_options in src/backend/base/langflow/components/vectorstores/astradb.py

⏱️ Runtime : 408 milliseconds 336 milliseconds (best of 5 runs)

📝 Explanation and details

Here's the optimized version.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 17 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 DataAPIClient
from langflow.base.vectorstores.model import LCVectorStoreComponent
from langflow.components.vectorstores.astradb import \
    AstraDBVectorStoreComponent

# unit tests

@pytest.fixture
def mock_component():
    component = AstraDBVectorStoreComponent()
    component.token = "test_token"
    component.environment = "test_env"
    component.keyspace = "test_keyspace"
    return component

def test_basic_functionality(mock_component):
    # Mock the database object and collections
    mock_database = MagicMock()
    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 = None
    
    mock_database.list_collections.return_value = [mock_collection1, mock_collection2]
    mock_component.get_database_object = MagicMock(return_value=mock_database)
    mock_component.collection_data = MagicMock(side_effect=lambda collection_name, database: f"records_{collection_name}")

    codeflash_output = mock_component._initialize_collection_options()
    
    expected = [
        {
            "name": "collection1",
            "records": "records_collection1",
            "provider": "provider1",
            "icon": "",
            "model": "model1",
        },
        {
            "name": "collection2",
            "records": "records_collection2",
            "provider": None,
            "icon": "",
            "model": None,
        },
    ]

def test_empty_keyspace(mock_component):
    mock_component.keyspace = ""
    mock_component.get_keyspace = MagicMock(return_value=None)
    mock_database = MagicMock()
    mock_database.list_collections.return_value = []
    mock_component.get_database_object = MagicMock(return_value=mock_database)

    codeflash_output = mock_component._initialize_collection_options()

def test_no_collections_in_keyspace(mock_component):
    mock_database = MagicMock()
    mock_database.list_collections.return_value = []
    mock_component.get_database_object = MagicMock(return_value=mock_database)

    codeflash_output = mock_component._initialize_collection_options()

def test_collections_with_and_without_vector_options(mock_component):
    mock_database = MagicMock()
    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 = None
    
    mock_database.list_collections.return_value = [mock_collection1, mock_collection2]
    mock_component.get_database_object = MagicMock(return_value=mock_database)
    mock_component.collection_data = MagicMock(side_effect=lambda collection_name, database: f"records_{collection_name}")

    codeflash_output = mock_component._initialize_collection_options()
    
    expected = [
        {
            "name": "collection1",
            "records": "records_collection1",
            "provider": "provider1",
            "icon": "",
            "model": "model1",
        },
        {
            "name": "collection2",
            "records": "records_collection2",
            "provider": None,
            "icon": "",
            "model": None,
        },
    ]

def test_invalid_api_endpoint(mock_component):
    mock_component.get_database_object = MagicMock(side_effect=ValueError("Invalid API endpoint"))
    
    with pytest.raises(ValueError, match="Invalid API endpoint"):
        mock_component._initialize_collection_options(api_endpoint="invalid_url")


def test_special_characters_in_collection_names(mock_component):
    mock_database = MagicMock()
    mock_collection1 = MagicMock()
    mock_collection1.name = "collection_1"
    mock_collection1.options.vector = None
    
    mock_collection2 = MagicMock()
    mock_collection2.name = "collection-2"
    mock_collection2.options.vector = None
    
    mock_collection3 = MagicMock()
    mock_collection3.name = "collection 3"
    mock_collection3.options.vector = None
    
    mock_collection4 = MagicMock()
    mock_collection4.name = "collection_ñ"
    mock_collection4.options.vector = None
    
    mock_database.list_collections.return_value = [mock_collection1, mock_collection2, mock_collection3, mock_collection4]
    mock_component.get_database_object = MagicMock(return_value=mock_database)
    mock_component.collection_data = MagicMock(side_effect=lambda collection_name, database: f"records_{collection_name}")

    codeflash_output = mock_component._initialize_collection_options()
    
    expected = [
        {
            "name": "collection_1",
            "records": "records_collection_1",
            "provider": None,
            "icon": "",
            "model": None,
        },
        {
            "name": "collection-2",
            "records": "records_collection-2",
            "provider": None,
            "icon": "",
            "model": None,
        },
        {
            "name": "collection 3",
            "records": "records_collection 3",
            "provider": None,
            "icon": "",
            "model": None,
        },
        {
            "name": "collection_ñ",
            "records": "records_collection_ñ",
            "provider": None,
            "icon": "",
            "model": None,
        },
    ]

def test_database_object_returns_none(mock_component):
    mock_component.get_database_object = MagicMock(return_value=None)
    
    with pytest.raises(AttributeError):
        mock_component._initialize_collection_options()

def test_keyspace_with_similar_names(mock_component):
    mock_database = MagicMock()
    mock_collection1 = MagicMock()
    mock_collection1.name = "collection1"
    mock_collection1.options.vector = None
    
    mock_collection2 = MagicMock()
    mock_collection2.name = "collection1_"
    mock_collection2.options.vector = None
    
    mock_database.list_collections.return_value = [mock_collection1, mock_collection2]
    mock_component.get_database_object = MagicMock(return_value=mock_database)
    mock_component.collection_data = MagicMock(side_effect=lambda collection_name, database: f"records_{collection_name}")

    codeflash_output = mock_component._initialize_collection_options()
    
    expected = [
        {
            "name": "collection1",
            "records": "records_collection1",
            "provider": None,
            "icon": "",
            "model": None,
        },
        {
            "name": "collection1_",
            "records": "records_collection1_",
            "provider": None,
            "icon": "",
            "model": None,
        },
    ]


def test_collections_with_circular_references(mock_component):
    mock_database = MagicMock()
    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_component.get_database_object = MagicMock(return_value=mock_database)
    mock_component.collection_data = MagicMock(side_effect=lambda collection_name, database: f"records_{collection_name}")

    codeflash_output = mock_component._initialize_collection_options()
    
    expected = [
        {
            "name": "collection1",
            "records": "records_collection1",
            "provider": "provider1",
            "icon": "",
            "model": "model1",
        },
        {
            "name": "collection2",
            "records": "records_collection2",
            "provider": "provider2",
            "icon": "",
            "model": "model2",
        },
    ]


def test_collections_with_missing_attributes(mock_component):
    mock_database = MagicMock()
    mock_collection = MagicMock()
    del mock_collection.name  # Missing name attribute
    mock_collection.options.vector.service.provider = "provider1"
    
    mock_database.list_collections.return_value = [mock_collection]
    mock_component.get_database_object = MagicMock(return_value=mock_database)
    mock_component.collection_data = MagicMock(side_effect=lambda collection_name, database: f"records_{collection_name}")

    with pytest.raises(AttributeError):
        mock_component._initialize_collection_options()






from unittest.mock import MagicMock, patch

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

# unit tests

@pytest.fixture
def mock_component():
    component = AstraDBVectorStoreComponent()
    component.token = "test_token"
    component.environment = "test_env"
    component.keyspace = "test_keyspace"
    return component

def test_single_collection_with_vector_options(mock_component):
    # Mock the database object and its methods
    mock_database = MagicMock()
    mock_collection = MagicMock()
    mock_collection.name = "col1"
    mock_collection.options.vector.service.provider = "provider1"
    mock_collection.options.vector.service.model_name = "model1"
    mock_database.list_collections.return_value = [mock_collection]
    
    with patch.object(mock_component, 'get_database_object', return_value=mock_database):
        with patch.object(mock_component, 'collection_data', return_value={"data": "sample"}):
            codeflash_output = mock_component._initialize_collection_options()

def test_single_collection_without_vector_options(mock_component):
    mock_database = MagicMock()
    mock_collection = MagicMock()
    mock_collection.name = "col1"
    mock_collection.options.vector = None
    mock_database.list_collections.return_value = [mock_collection]
    
    with patch.object(mock_component, 'get_database_object', return_value=mock_database):
        with patch.object(mock_component, 'collection_data', return_value={"data": "sample"}):
            codeflash_output = mock_component._initialize_collection_options()

def test_multiple_collections(mock_component):
    mock_database = MagicMock()
    mock_collection1 = MagicMock()
    mock_collection1.name = "col1"
    mock_collection1.options.vector.service.provider = "provider1"
    mock_collection1.options.vector.service.model_name = "model1"
    
    mock_collection2 = MagicMock()
    mock_collection2.name = "col2"
    mock_collection2.options.vector = None
    
    mock_database.list_collections.return_value = [mock_collection1, mock_collection2]
    
    with patch.object(mock_component, 'get_database_object', return_value=mock_database):
        with patch.object(mock_component, 'collection_data', return_value={"data": "sample"}):
            codeflash_output = mock_component._initialize_collection_options()

def test_empty_keyspace(mock_component):
    mock_component.keyspace = None
    mock_database = MagicMock()
    mock_database.list_collections.return_value = []
    
    with patch.object(mock_component, 'get_database_object', return_value=mock_database):
        codeflash_output = mock_component._initialize_collection_options()

def test_invalid_api_endpoint(mock_component):
    with patch.object(mock_component, 'get_database_object', side_effect=ValueError("Invalid endpoint")):
        with pytest.raises(ValueError, match="Invalid endpoint"):
            mock_component._initialize_collection_options(api_endpoint="invalid_endpoint")


def test_special_characters_in_keyspace(mock_component):
    mock_component.keyspace = "keyspace_with_special_!@#"
    mock_database = MagicMock()
    mock_collection = MagicMock()
    mock_collection.name = "col1"
    mock_collection.options.vector.service.provider = "provider1"
    mock_collection.options.vector.service.model_name = "model1"
    mock_database.list_collections.return_value = [mock_collection]
    
    with patch.object(mock_component, 'get_database_object', return_value=mock_database):
        with patch.object(mock_component, 'collection_data', return_value={"data": "sample"}):
            codeflash_output = mock_component._initialize_collection_options()

def test_special_characters_in_collection_names(mock_component):
    mock_database = MagicMock()
    mock_collection = MagicMock()
    mock_collection.name = "col_!@#"
    mock_collection.options.vector.service.provider = "provider1"
    mock_collection.options.vector.service.model_name = "model1"
    mock_database.list_collections.return_value = [mock_collection]
    
    with patch.object(mock_component, 'get_database_object', return_value=mock_database):
        with patch.object(mock_component, 'collection_data', return_value={"data": "sample"}):
            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.

Codeflash

…n_options` by 21% in PR #6085 (`codeflash/optimize-pr6048-2025-02-03T13.54.58`)

Here's the optimized version.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Feb 3, 2025
@dosubot dosubot bot added the size:M This PR changes 30-99 lines, ignoring generated files. label Feb 3, 2025
codeflash-ai bot added a commit that referenced this pull request Feb 3, 2025
…by 1,126% in PR #6087 (`codeflash/optimize-pr6085-2025-02-03T14.05.09`)

To optimize the provided Python program for faster execution, we should focus on the following.

1. Cache results to avoid repeated computations.
2. Handle exceptions more efficiently.
3. Simplify the code where possible to reduce overhead.

Here is the optimized version of the program.



### Changes Made.
1. **caching with `lru_cache`**: Added caching to the `get_api_endpoint` and `get_database_object` methods to avoid redundant calls which can save time especially if the same input parameters are being used repeatedly.
2. **Removed the intermediate variable `msg`**: This simplifies the exception handling block in `get_database_object`. 

These changes should help in reducing the runtime by caching frequently accessed results and streamlining the exception handling process.
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codeflash-ai bot commented Feb 3, 2025

⚡️ Codeflash found optimizations for this PR

📄 1,126% (11.26x) speedup for AstraDBVectorStoreComponent.get_database_object in src/backend/base/langflow/components/vectorstores/astradb.py

⏱️ Runtime : 10.2 milliseconds 834 microseconds (best of 22 runs)

I created a new dependent PR with the suggested changes. Please review:

If you approve, it will be merged into this PR (branch codeflash/optimize-pr6085-2025-02-03T14.05.09).

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