⚡️ Speed up function `apply_tweaks` by 38% in `src/backend/base/langflow/processing/process.py`

[codeflash-ai[bot]]

📄 apply_tweaks() in src/backend/base/langflow/processing/process.py

📈 Performance improved by 38% (0.38x faster)

⏱️ Runtime went down from 1.29 millisecond to 939 microseconds

Explanation and details

To optimize the given function, we can make the following changes.

1. Reduce the number of get calls by traversing the nested dictionary just once.
2. Simplify the dictionary access and conditional checks.
3. Avoid redundant checks within the loop.
4. Optimize the way the key is determined by using a ternary operator directly within the assignment.

Here's the optimized version of the apply_tweaks function.

Explanation.

1. Error Handling: The dictionary access is attempted directly within a try block, catching any KeyError or TypeError that might indicate issues with the nested structure or if template_data is not a dictionary.
2. Loop Simplification: We removed the redundant if tweak_name not in template_data since it's effectively covered by the if tweak_name in template_data check.
3. Key Determination: The ternary operator is used directly within the assignment to choose between "file_path" and "value".

Correctness verification

The new optimized code was tested for correctness. The results are listed below.

🔘 (none found) − ⚙️ Existing Unit Tests

✅ 15 Passed − 🌀 Generated Regression Tests

(click to show generated tests)

# imports
from typing import Any, Dict

import pytest  # used for our unit tests
from loguru import logger
from src.backend.base.langflow.processing.process import apply_tweaks


# unit tests
def test_basic_functionality():
    # Standard case
    node = {"data": {"node": {"template": {"key1": {"type": "value"}, "key2": {"type": "file"}}}}}
    node_tweaks = {"key1": "new_value", "key2": "new_file_path"}
    apply_tweaks(node, node_tweaks)
    # Outputs were verified to be equal to the original implementation

def test_empty_node():
    # Empty node dictionary
    node = {}
    node_tweaks = {"key1": "new_value"}
    apply_tweaks(node, node_tweaks)
    # Outputs were verified to be equal to the original implementation

def test_empty_node_tweaks():
    # Empty node_tweaks dictionary
    node = {"data": {"node": {"template": {"key1": {"type": "value"}}}}}
    node_tweaks = {}
    apply_tweaks(node, node_tweaks)
    # Outputs were verified to be equal to the original implementation

def test_non_dict_template_data(caplog):
    # Non-dictionary template_data
    node = {"data": {"node": {"template": "not_a_dict"}}}
    node_tweaks = {"key1": "new_value"}
    with caplog.at_level("WARNING"):
        apply_tweaks(node, node_tweaks)
    # Outputs were verified to be equal to the original implementation

def test_different_data_types_in_node_tweaks():
    # Different data types in node_tweaks
    node = {"data": {"node": {"template": {"key1": {"type": "value"}, "key2": {"type": "file"}}}}}
    node_tweaks = {"key1": 123, "key2": ["path1", "path2"]}
    apply_tweaks(node, node_tweaks)
    # Outputs were verified to be equal to the original implementation

def test_missing_data_key():
    # Missing data key in node
    node = {"id": "node1"}
    node_tweaks = {"key1": "new_value"}
    apply_tweaks(node, node_tweaks)
    # Outputs were verified to be equal to the original implementation

def test_missing_node_key():
    # Missing node key in data
    node = {"data": {"id": "node1"}}
    node_tweaks = {"key1": "new_value"}
    apply_tweaks(node, node_tweaks)
    # Outputs were verified to be equal to the original implementation

def test_missing_template_key():
    # Missing template key in node
    node = {"data": {"node": {"id": "node1"}}}
    node_tweaks = {"key1": "new_value"}
    apply_tweaks(node, node_tweaks)
    # Outputs were verified to be equal to the original implementation

def test_partial_matches():
    # Some keys in node_tweaks missing in template_data
    node = {"data": {"node": {"template": {"key1": {"type": "value"}}}}}
    node_tweaks = {"key1": "new_value", "key2": "new_file_path"}
    apply_tweaks(node, node_tweaks)
    # Outputs were verified to be equal to the original implementation

def test_nested_structures():
    # Nested structures in template_data
    node = {"data": {"node": {"template": {"key1": {"type": "value", "nested": {"subkey": "subvalue"}}}}}}
    node_tweaks = {"key1": "new_value"}
    apply_tweaks(node, node_tweaks)
    # Outputs were verified to be equal to the original implementation

def test_large_scale():
    # Large node and node_tweaks
    node = {"data": {"node": {"template": {f"key{i}": {"type": "value"} for i in range(1000)}}}}
    node_tweaks = {f"key{i}": f"value{i}" for i in range(1000)}
    apply_tweaks(node, node_tweaks)
    for i in range(1000):
        pass
    # Outputs were verified to be equal to the original implementation

def test_performance_under_load():
    # Stress testing with large data samples
    import time
    node = {"data": {"node": {"template": {f"key{i}": {"type": "value"} for i in range(10000)}}}}
    node_tweaks = {f"key{i}": f"value{i}" for i in range(10000)}
    start_time = time.time()
    apply_tweaks(node, node_tweaks)
    end_time = time.time()
    for i in range(10000):
        pass
    # Outputs were verified to be equal to the original implementation

def test_logging_behavior(caplog):
    # Verifying logging behavior
    node = {"data": {"node": {"template": "not_a_dict"}}}
    node_tweaks = {"key1": "new_value"}
    with caplog.at_level("WARNING"):
        apply_tweaks(node, node_tweaks)
    # Outputs were verified to be equal to the original implementation

def test_deterministic_behavior():
    # Ensuring deterministic behavior
    node = {"data": {"node": {"template": {"key1": {"type": "value"}}}}}
    node_tweaks = {"key1": "new_value"}
    apply_tweaks(node, node_tweaks)
    apply_tweaks(node, node_tweaks)
    # Outputs were verified to be equal to the original implementation

🔘 (none found) − ⏪ Replay Tests

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_{Last Modified at 02 Aug 24 14:12 UTC}

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This PR has been automatically closed because the original PR #3216 by EvgenyK1 was closed.