⚡️ Speed up function update_new_output by 922% in src/backend/base/langflow/initial_setup/setup.py

[codeflash-ai]

📄 update_new_output in src/backend/base/langflow/initial_setup/setup.py

✨ Performance Summary:

• Speed Increase: 📈 922% (9.22x faster)
• Runtime Reduction: ⏱️ From 49.3 microseconds down to 4.82 microseconds (best of 20 runs)

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📝 Explanation and details

To optimize the code for better performance, we can reduce the use of copy.deepcopy and reduce the number of nested loops. Here's a more efficient version of the program.

Key Optimizations.

1. Replaced the use of copy.deepcopy with direct data manipulation which reduces memory overhead.
2. Cached the nodes in a dictionary for faster lookup by id.
3. Eliminated unnecessary deep copying of data structure.
4. Reduced the number of loops by restructuring the logic.

These changes will help in reducing both the runtime and memory usage of the function.

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✅ Correctness verification

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

Test	Status	Details
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 3 Passed	See below
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Coverage	32.7%

🌀 Generated Regression Tests Details

Click to view details

import copy
import json

# imports
import pytest  # used for our unit tests
from langflow.initial_setup.setup import update_new_output


# unit tests









def test_error_handling_invalid_json_strings():
    # Test with invalid JSON strings
    data = {
        "nodes": [{"id": "1", "data": {"node": {"output_types": ["type1"]}}}],
        "edges": [{"sourceHandle": '{"id": "1", "output_types": ["type1"', "targetHandle": '{"id": "1"}', "data": {}}]
    }
    with pytest.raises(json.JSONDecodeError):
        update_new_output(data)


import copy
import json

# imports
import pytest  # used for our unit tests
from langflow.initial_setup.setup import update_new_output


# unit tests



def test_edges_without_sourceHandle_or_targetHandle():
    data = {
        "nodes": [{"id": "1", "data": {"node": {"output_types": ["type1"]}}}],
        "edges": [{"source": "1", "target": "2"}]
    }
    codeflash_output = update_new_output(data)

def test_empty_inputs():
    data = {"nodes": [], "edges": []}
    codeflash_output = update_new_output(data)

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