Skip to content

⚡️ Speed up function is_file_used by 32% in PR #10819 (s3-file-size-and-associations-to-flows)#10822

Closed
codeflash-ai[bot] wants to merge 2 commits into
s3-file-size-and-associations-to-flowsfrom
codeflash/optimize-pr10819-2025-12-01T20.10.17
Closed

⚡️ Speed up function is_file_used by 32% in PR #10819 (s3-file-size-and-associations-to-flows)#10822
codeflash-ai[bot] wants to merge 2 commits into
s3-file-size-and-associations-to-flowsfrom
codeflash/optimize-pr10819-2025-12-01T20.10.17

Conversation

@codeflash-ai
Copy link
Copy Markdown
Contributor

@codeflash-ai codeflash-ai Bot commented Dec 1, 2025

⚡️ This pull request contains optimizations for PR #10819

If you approve this dependent PR, these changes will be merged into the original PR branch s3-file-size-and-associations-to-flows.

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


📄 32% (0.32x) speedup for is_file_used in src/backend/base/langflow/api/v1/files.py

⏱️ Runtime : 4.53 milliseconds 3.43 milliseconds (best of 96 runs)

📝 Explanation and details

The optimized code achieves a 32% speedup by implementing several key micro-optimizations that reduce dictionary operations and improve control flow:

Key optimizations:

  1. Early null checks with explicit continues: Instead of chained .get(..., {}) calls that create temporary empty dictionaries, the optimized version checks for None values early and uses continue statements to skip unnecessary processing. This eliminates the overhead of creating temporary objects.

  2. Extracted dictionary lookup: nodes = flow_data["nodes"] is extracted once rather than accessed repeatedly in the loop, reducing dictionary lookups.

  3. Flattened dictionary access chain: The original chained call node.get("data", {}).get("node", {}) is broken into separate checks with early exits, avoiding the creation of intermediate empty dictionaries when keys are missing.

  4. Restructured condition logic: The isinstance(field, dict) and "value" in field check is split into separate conditions with early continue, and field.get("value") replaces direct key access, making the code more defensive against missing keys.

  5. Simplified string vs list handling: Uses elif for the list case instead of separate if statements, providing clearer control flow.

Why this is faster:

  • Reduces temporary object creation (empty dicts from .get(..., {}))
  • Minimizes dictionary lookups through early exits
  • Eliminates redundant type checks and key existence checks
  • Better CPU branch prediction with explicit control flow

Performance characteristics:
The optimization is most effective for flows with many nodes that have missing or incomplete data structures, where early exits prevent unnecessary processing. Based on the test results, it provides consistent speedups across both small-scale cases and large-scale scenarios with hundreds of nodes and fields.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 61 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import pytest
from langflow.api.v1.files import is_file_used

# unit tests

# --------------------------
# Basic Test Cases
# --------------------------

def test_file_found_in_single_node_single_field():
    # File name is present as a substring in a string value
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": "some/path/to/myfile.txt"}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_file_not_found_in_single_node():
    # File name is not present in any value
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": "some/path/to/otherfile.txt"}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_file_found_in_list_of_values():
    # File name is present in a list of string values
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": ["foo.txt", "bar.txt", "myfile.txt"]}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_file_found_as_substring_in_list_item():
    # File name is a substring of a list item
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": ["foo.txt", "bar_myfile.txt", "baz.txt"]}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_file_not_found_in_list_of_values():
    # File name is not present in any list item
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": ["foo.txt", "bar.txt", "baz.txt"]}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_multiple_nodes_file_found_in_second_node():
    # File name is only present in the second node
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": "foo.txt"}
                        }
                    }
                }
            },
            {
                "data": {
                    "node": {
                        "template": {
                            "input2": {"value": "myfile.txt"}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

# --------------------------
# Edge Test Cases
# --------------------------

def test_flow_data_is_none():
    # flow_data is None
    codeflash_output = is_file_used(None, "myfile.txt")

def test_flow_data_missing_nodes_key():
    # flow_data does not have "nodes" key
    flow_data = {"not_nodes": []}
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_nodes_is_empty_list():
    # "nodes" is an empty list
    flow_data = {"nodes": []}
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_node_missing_data_key():
    # Node missing "data" key
    flow_data = {
        "nodes": [
            {
                # No "data"
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_node_missing_node_key():
    # Node's "data" missing "node" key
    flow_data = {
        "nodes": [
            {
                "data": {
                    # No "node"
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_node_missing_template_key():
    # Node's "data"->"node" missing "template" key
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        # No "template"
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_template_field_is_not_dict():
    # Template field is not a dict
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": "not_a_dict"
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_template_field_dict_missing_value():
    # Template field dict missing "value" key
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"not_value": "myfile.txt"}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_value_is_not_str_or_list():
    # "value" is neither a string nor a list
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": 12345}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_value_list_contains_non_str():
    # "value" is a list containing non-string items
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": ["foo.txt", 123, None, "myfile.txt"]}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_file_name_is_empty_string():
    # file_name is an empty string, should match anything with a string value
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": "something"}
                        }
                    }
                }
            }
        ]
    }
    # Any string contains the empty string, so should return True
    codeflash_output = is_file_used(flow_data, "")

def test_value_is_empty_string():
    # "value" is an empty string
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": ""}
                        }
                    }
                }
            }
        ]
    }
    # Only returns True if file_name is also empty string
    codeflash_output = is_file_used(flow_data, "myfile.txt")
    codeflash_output = is_file_used(flow_data, "")

def test_value_is_empty_list():
    # "value" is an empty list
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": []}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_file_name_is_substring_of_other_file():
    # file_name is a substring of another file's name
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": "myfile.txt.bak"}
                        }
                    }
                }
            }
        ]
    }
    # Should return True because "myfile.txt" is a substring of "myfile.txt.bak"
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_file_name_is_not_substring():
    # file_name is not a substring of any value
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": "otherfile.txt"}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_multiple_template_fields_one_matches():
    # Multiple fields in template, only one matches
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": "foo.txt"},
                            "input2": {"value": "myfile.txt"},
                            "input3": {"value": "bar.txt"},
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_multiple_template_fields_none_match():
    # Multiple fields in template, none match
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": "foo.txt"},
                            "input2": {"value": "baz.txt"},
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

# --------------------------
# Large Scale Test Cases
# --------------------------

def test_large_number_of_nodes_no_match():
    # Large number of nodes, none contain the file name
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            f"input{i}": {"value": f"file_{i}.txt"}
                        }
                    }
                }
            } for i in range(500)
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_large_number_of_nodes_one_match():
    # Large number of nodes, only one contains the file name
    nodes = [
        {
            "data": {
                "node": {
                    "template": {
                        f"input{i}": {"value": f"file_{i}.txt"}
                    }
                }
            }
        } for i in range(499)
    ]
    # Add one node with the matching file name at the end
    nodes.append({
        "data": {
            "node": {
                "template": {
                    "input": {"value": "myfile.txt"}
                }
            }
        }
    })
    flow_data = {"nodes": nodes}
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_large_number_of_nodes_match_at_start():
    # Large number of nodes, match is at the start
    nodes = [
        {
            "data": {
                "node": {
                    "template": {
                        "input": {"value": "myfile.txt"}
                    }
                }
            }
        }
    ] + [
        {
            "data": {
                "node": {
                    "template": {
                        f"input{i}": {"value": f"file_{i}.txt"}
                    }
                }
            }
        } for i in range(499)
    ]
    flow_data = {"nodes": nodes}
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_large_number_of_fields_in_template():
    # One node with a large number of fields in template, only one matches
    template = {f"input{i}": {"value": f"file_{i}.txt"} for i in range(999)}
    template["special"] = {"value": "myfile.txt"}
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": template
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_large_value_list():
    # One node, one field, value is a large list, match in the middle
    value_list = [f"file_{i}.txt" for i in range(500)]
    value_list[250] = "myfile.txt"
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": value_list}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_large_value_list_no_match():
    # One node, one field, value is a large list, no match
    value_list = [f"file_{i}.txt" for i in range(999)]
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input1": {"value": value_list}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
import pytest  # used for our unit tests
from langflow.api.v1.files import is_file_used

# unit tests

# -------------------------------
# Basic Test Cases
# -------------------------------

def test_basic_file_present_as_string():
    # File name appears as a substring in a string value
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": {
                                "value": "some_path/myfile.txt"
                            }
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_basic_file_not_present():
    # File name does not appear anywhere
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": {
                                "value": "some_path/otherfile.txt"
                            }
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_basic_file_present_in_list():
    # File name appears as substring in one of the list items
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "files": {
                                "value": ["a.txt", "b.txt", "myfile.txt"]
                            }
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_basic_file_present_as_substring_in_list_item():
    # File name appears as substring in a list item
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "files": {
                                "value": ["a.txt", "myfile.txt.backup", "c.txt"]
                            }
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_basic_file_not_present_in_list():
    # File name not present in any list item
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "files": {
                                "value": ["a.txt", "b.txt", "c.txt"]
                            }
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

# -------------------------------
# Edge Test Cases
# -------------------------------

def test_edge_empty_flow_data():
    # flow_data is None
    codeflash_output = is_file_used(None, "myfile.txt")
    # flow_data is empty dict
    codeflash_output = is_file_used({}, "myfile.txt")

def test_edge_nodes_key_missing():
    # flow_data does not have "nodes" key
    flow_data = {"other_key": []}
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_edge_nodes_empty_list():
    # nodes is an empty list
    flow_data = {"nodes": []}
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_edge_node_data_missing():
    # node missing "data"
    flow_data = {"nodes": [{}]}
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_edge_node_node_missing():
    # node["data"] missing "node"
    flow_data = {"nodes": [{"data": {}}]}
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_edge_template_missing():
    # node["data"]["node"] missing "template"
    flow_data = {"nodes": [{"data": {"node": {}}}]}
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_edge_template_empty():
    # template is empty dict
    flow_data = {"nodes": [{"data": {"node": {"template": {}}}}]}
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_edge_field_not_dict():
    # template field is not a dict
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": "not_a_dict"
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_edge_field_dict_without_value():
    # template field is dict but missing "value"
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": {"not_value": "myfile.txt"}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_edge_value_is_none():
    # value is None
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": {"value": None}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_edge_value_is_int():
    # value is int
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": {"value": 123}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_edge_value_is_list_of_non_str():
    # value is list of ints
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "files": {"value": [1, 2, 3]}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_edge_file_name_is_empty_string():
    # file_name is empty string, should match any string containing ""
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": {"value": "somefile.txt"}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "")

def test_edge_file_name_is_substring_of_other_file():
    # file_name is substring of a file in value
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": {"value": "myfile.txt.backup"}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_edge_multiple_nodes_some_use_file():
    # Multiple nodes, only one uses the file
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": {"value": "not_myfile.txt"}
                        }
                    }
                }
            },
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": {"value": "myfile.txt"}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_edge_multiple_nodes_none_use_file():
    # Multiple nodes, none use the file
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": {"value": "not_myfile.txt"}
                        }
                    }
                }
            },
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": {"value": "anotherfile.txt"}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_edge_file_name_case_sensitive():
    # File name case sensitivity
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": {"value": "MyFile.txt"}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_edge_file_name_is_whitespace():
    # File name is whitespace
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": {"value": "some file.txt"}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, " ")

def test_edge_value_is_empty_list():
    # value is empty list
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "files": {"value": []}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

# -------------------------------
# Large Scale Test Cases
# -------------------------------

def test_large_many_nodes_one_file_used():
    # 999 nodes, only one uses the file
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": {"value": f"file_{i}.txt"}
                        }
                    }
                }
            } for i in range(998)
        ] + [
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": {"value": "myfile.txt"}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_large_many_nodes_none_use_file():
    # 999 nodes, none use the file
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "input_file": {"value": f"file_{i}.txt"}
                        }
                    }
                }
            } for i in range(999)
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_large_many_fields_per_node_file_used_in_last_field():
    # Each node has many fields, file used only in last field of last node
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            f"field_{j}": {"value": f"file_{i}_{j}.txt"} for j in range(10)
                        }
                    }
                }
            } for i in range(998)
        ] + [
            {
                "data": {
                    "node": {
                        "template": {
                            **{f"field_{j}": {"value": f"file_last_{j}.txt"} for j in range(9)},
                            "field_9": {"value": "myfile.txt"}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_large_many_fields_per_node_file_not_used():
    # Each node has many fields, none use the file
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            f"field_{j}": {"value": f"file_{i}_{j}.txt"} for j in range(10)
                        }
                    }
                }
            } for i in range(999)
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_large_value_lists_file_used_in_list():
    # value is a list of 999 items, one contains file_name
    value_list = [f"file_{i}.txt" for i in range(998)] + ["myfile.txt"]
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "files": {"value": value_list}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")

def test_large_value_lists_file_not_used_in_list():
    # value is a list of 999 items, none contain file_name
    value_list = [f"file_{i}.txt" for i in range(999)]
    flow_data = {
        "nodes": [
            {
                "data": {
                    "node": {
                        "template": {
                            "files": {"value": value_list}
                        }
                    }
                }
            }
        ]
    }
    codeflash_output = is_file_used(flow_data, "myfile.txt")
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

To edit these changes git checkout codeflash/optimize-pr10819-2025-12-01T20.10.17 and push.

Codeflash

The optimized code achieves a **32% speedup** by implementing several key micro-optimizations that reduce dictionary operations and improve control flow:

**Key optimizations:**

1. **Early null checks with explicit continues**: Instead of chained `.get(..., {})` calls that create temporary empty dictionaries, the optimized version checks for `None` values early and uses `continue` statements to skip unnecessary processing. This eliminates the overhead of creating temporary objects.

2. **Extracted dictionary lookup**: `nodes = flow_data["nodes"]` is extracted once rather than accessed repeatedly in the loop, reducing dictionary lookups.

3. **Flattened dictionary access chain**: The original chained call `node.get("data", {}).get("node", {})` is broken into separate checks with early exits, avoiding the creation of intermediate empty dictionaries when keys are missing.

4. **Restructured condition logic**: The `isinstance(field, dict) and "value" in field` check is split into separate conditions with early `continue`, and `field.get("value")` replaces direct key access, making the code more defensive against missing keys.

5. **Simplified string vs list handling**: Uses `elif` for the list case instead of separate `if` statements, providing clearer control flow.

**Why this is faster:**
- Reduces temporary object creation (empty dicts from `.get(..., {})`)
- Minimizes dictionary lookups through early exits
- Eliminates redundant type checks and key existence checks
- Better CPU branch prediction with explicit control flow

**Performance characteristics:**
The optimization is most effective for flows with many nodes that have missing or incomplete data structures, where early exits prevent unnecessary processing. Based on the test results, it provides consistent speedups across both small-scale cases and large-scale scenarios with hundreds of nodes and fields.
@codeflash-ai codeflash-ai Bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Dec 1, 2025
@coderabbitai
Copy link
Copy Markdown
Contributor

coderabbitai Bot commented Dec 1, 2025

Important

Review skipped

Bot user detected.

To trigger a single review, invoke the @coderabbitai review command.

You can disable this status message by setting the reviews.review_status to false in the CodeRabbit configuration file.


Comment @coderabbitai help to get the list of available commands and usage tips.

@github-actions github-actions Bot added the community Pull Request from an external contributor label Dec 1, 2025
@github-actions
Copy link
Copy Markdown
Contributor

github-actions Bot commented Dec 1, 2025

Frontend Unit Test Coverage Report

Coverage Summary

Lines Statements Branches Functions
Coverage: 15%
15.29% (4188/27381) 8.49% (1778/20935) 9.6% (579/6031)

Unit Test Results

Tests Skipped Failures Errors Time
1638 0 💤 0 ❌ 0 🔥 19.997s ⏱️

@codecov
Copy link
Copy Markdown

codecov Bot commented Dec 1, 2025

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 32.38%. Comparing base (ef63f8d) to head (eb18bb1).

❌ Your project status has failed because the head coverage (40.04%) is below the target coverage (60.00%). You can increase the head coverage or adjust the target coverage.

Additional details and impacted files

Impacted file tree graph

@@                            Coverage Diff                             @@
##           s3-file-size-and-associations-to-flows   #10822      +/-   ##
==========================================================================
- Coverage                                   32.39%   32.38%   -0.01%     
==========================================================================
  Files                                        1367     1367              
  Lines                                       63235    63225      -10     
  Branches                                     9358     9357       -1     
==========================================================================
- Hits                                        20482    20478       -4     
+ Misses                                      41720    41714       -6     
  Partials                                     1033     1033              
Flag Coverage Δ
frontend 14.13% <ø> (ø)
lfx 40.04% <ø> (+<0.01%) ⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Files with missing lines Coverage Δ
src/backend/base/langflow/api/v1/files.py 65.87% <ø> (-0.27%) ⬇️

... and 4 files with indirect coverage changes

🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
  • 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

@ogabrielluiz
Copy link
Copy Markdown
Contributor

Closing automated codeflash PR.

@codeflash-ai codeflash-ai Bot deleted the codeflash/optimize-pr10819-2025-12-01T20.10.17 branch March 3, 2026 18:14
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

⚡️ codeflash Optimization PR opened by Codeflash AI community Pull Request from an external contributor

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant