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@codeflash-ai codeflash-ai bot commented Nov 21, 2025

📄 110% (1.10x) speedup for extract_query_params in src/titiler/core/titiler/core/utils.py

⏱️ Runtime : 57.2 milliseconds 27.2 milliseconds (best of 214 runs)

📝 Explanation and details

The optimized code achieves a 109% speedup through two key optimizations that target the most expensive operations:

1. Caching get_dependant Results (78% of time savings)
The original code calls get_dependant(path="", call=dependency) on every invocation, which the profiler shows takes 68.8% of execution time (157ms out of 228ms). The optimization adds function-level caching using a _titiler_gdp_cached_dep attribute on each dependency callable. When the same dependency is processed multiple times, subsequent calls retrieve the cached result instead of re-analyzing the dependency structure.

2. Hoisting QueryParams Creation (Additional efficiency)
In extract_query_params, the original code performed isinstance(params, Dict) and urlencode() inside get_dependency_query_params for every dependency. The optimization moves this check outside the loop, converting Dict to QueryParams once and reusing it across all dependencies.

Performance Impact by Test Case:

  • Repeated dependencies see dramatic gains (995% faster for 100 identical dependencies)
  • Single dependency calls show 6-8x improvements due to reduced get_dependant overhead
  • Large-scale scenarios benefit most, with 50+ dependencies seeing 55-99% speedups
  • Simple cases still improve significantly (261-795% faster)

The caching is safe because get_dependant results are deterministic per callable and don't change during runtime. These optimizations are particularly valuable in web frameworks where the same dependencies are processed repeatedly across requests.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 8 Passed
🌀 Generated Regression Tests 31 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
⚙️ Existing Unit Tests and Runtime
🌀 Generated Regression Tests and Runtime
from typing import Any, Callable, Dict, List, Tuple, Union
from urllib.parse import urlencode

# imports
import pytest
from fastapi.datastructures import QueryParams
# --- Copy-paste of the function under test (from prompt) ---
from fastapi.dependencies.utils import get_dependant, request_params_to_args
from titiler.core.utils import extract_query_params

# We'll need to define dummy dependencies for the test cases.
# These are simple callables that mimic FastAPI dependency signatures.

def dep_no_params():
    return {}

def dep_one_param(foo: str):
    return {"foo": foo}

def dep_multi_params(foo: str, bar: int):
    return {"foo": foo, "bar": bar}

def dep_with_default(foo: str = "default"):
    return {"foo": foo}

def dep_with_optional(bar: int = None):
    return {"bar": bar}

def dep_type_coercion(x: int, y: float):
    return {"x": x, "y": y}

def dep_bool(flag: bool = False):
    return {"flag": flag}

def dep_list_param(items: List[int]):
    return {"items": items}

def dep_union_param(u: Union[int, str]):
    return {"u": u}

def dep_raise(foo: int):
    # Simulate a dependency that raises if input is not int
    if not isinstance(foo, int):
        raise ValueError("foo must be int")
    return {"foo": foo}

ValidParams = Dict[str, Any]
Errors = List[Any]
from titiler.core.utils import extract_query_params

# ------------------- UNIT TESTS -------------------

# 1. BASIC TEST CASES

def test_no_dependencies():
    """No dependencies: should return empty dict and list."""
    values, errors = extract_query_params([], {}) # 572ns -> 6.90μs (91.7% slower)

def test_single_dependency_no_params():
    """Single dependency, no params required."""
    values, errors = extract_query_params([dep_no_params], {}) # 29.5μs -> 8.16μs (261% faster)

def test_single_dependency_one_param():
    """Single dependency, one param provided."""
    values, errors = extract_query_params([dep_one_param], {"foo": "bar"}) # 285μs -> 34.0μs (741% faster)

def test_single_dependency_one_param_missing():
    """Single dependency, required param missing should result in error."""
    values, errors = extract_query_params([dep_one_param], {}) # 257μs -> 32.1μs (701% faster)

def test_single_dependency_with_default():
    """Dependency with default param, param omitted."""
    values, errors = extract_query_params([dep_with_default], {}) # 253μs -> 28.3μs (795% faster)

def test_single_dependency_with_default_overridden():
    """Dependency with default param, param provided."""
    values, errors = extract_query_params([dep_with_default], {"foo": "baz"}) # 255μs -> 31.5μs (711% faster)

def test_multiple_dependencies_disjoint_params():
    """Multiple dependencies, disjoint params."""
    values, errors = extract_query_params([dep_one_param, dep_with_default], {"foo": "abc"}) # 465μs -> 41.5μs (1021% faster)

def test_multiple_dependencies_overlapping_params():
    """Multiple dependencies, overlapping param names."""
    values, errors = extract_query_params([dep_one_param, dep_multi_params], {"foo": "abc", "bar": 123}) # 617μs -> 61.8μs (899% faster)

def test_dependency_type_coercion():
    """Dependency with int and float params, provided as strings."""
    values, errors = extract_query_params([dep_type_coercion], {"x": "5", "y": "2.5"}) # 405μs -> 52.6μs (670% faster)

def test_dependency_bool_flag_true():
    """Dependency with bool param, provided as 'true'."""
    values, errors = extract_query_params([dep_bool], {"flag": "true"}) # 251μs -> 36.7μs (586% faster)

def test_dependency_bool_flag_false():
    """Dependency with bool param, provided as 'false'."""
    values, errors = extract_query_params([dep_bool], {"flag": "false"}) # 250μs -> 35.8μs (600% faster)

def test_dependency_list_param():
    """Dependency with list param, provided as repeated query param."""
    values, errors = extract_query_params([dep_list_param], {"items": ["1", "2", "3"]}) # 289μs -> 18.1μs (1506% faster)

def test_dependency_union_param_int():
    """Dependency with Union[int, str], provided as int."""
    values, errors = extract_query_params([dep_union_param], {"u": "42"}) # 347μs -> 43.8μs (692% faster)

def test_dependency_union_param_str():
    """Dependency with Union[int, str], provided as non-int."""
    values, errors = extract_query_params([dep_union_param], {"u": "hello"}) # 338μs -> 42.2μs (702% faster)

# 2. EDGE TEST CASES

def test_empty_params_dict():
    """Empty params dict with dependency expecting default."""
    values, errors = extract_query_params([dep_with_default], {}) # 253μs -> 26.8μs (846% faster)

def test_empty_params_queryparams():
    """Empty QueryParams object."""
    values, errors = extract_query_params([dep_with_default], QueryParams("")) # 240μs -> 20.9μs (1054% faster)

def test_params_with_extra_keys():
    """Params dict has extra keys not required by dependencies."""
    values, errors = extract_query_params([dep_one_param], {"foo": "bar", "baz": "ignore"}) # 249μs -> 34.1μs (633% faster)

def test_missing_required_param():
    """Missing required param should yield error."""
    values, errors = extract_query_params([dep_multi_params], {"foo": "abc"}) # 417μs -> 52.0μs (704% faster)

def test_param_wrong_type():
    """Param of wrong type should yield error."""
    values, errors = extract_query_params([dep_multi_params], {"foo": "abc", "bar": "not_an_int"}) # 406μs -> 56.9μs (615% faster)

def test_dependency_raises():
    """Dependency raises error on invalid input."""
    values, errors = extract_query_params([dep_raise], {"foo": "not_an_int"}) # 255μs -> 42.8μs (497% faster)

def test_param_none_value():
    """Param explicitly set to None (should be ignored or error)."""
    values, errors = extract_query_params([dep_one_param], {"foo": None}) # 239μs -> 31.3μs (666% faster)

def test_dependency_with_optional_param_missing():
    """Optional param missing: should be None."""
    values, errors = extract_query_params([dep_with_optional], {}) # 251μs -> 28.8μs (773% faster)

def test_dependency_with_optional_param_provided():
    """Optional param provided."""
    values, errors = extract_query_params([dep_with_optional], {"bar": "7"}) # 261μs -> 36.1μs (623% faster)

def test_dependency_list_param_empty():
    """List param provided as empty list."""
    values, errors = extract_query_params([dep_list_param], {"items": []}) # 281μs -> 10.4μs (2615% faster)

def test_dependency_list_param_single():
    """List param provided as single value."""
    values, errors = extract_query_params([dep_list_param], {"items": "5"}) # 275μs -> 14.1μs (1859% faster)

def test_dependency_list_param_comma_separated():
    """List param provided as comma-separated string."""
    values, errors = extract_query_params([dep_list_param], {"items": "1,2,3"}) # 284μs -> 22.9μs (1146% faster)
    # Accept any of these, as behavior may depend on implementation

# 3. LARGE SCALE TEST CASES

def test_many_dependencies():
    """Test with a large number of dependencies (<=100)."""
    def make_dep(n):
        return lambda x: {"x": int(x) + n}
    deps = [make_dep(i) for i in range(100)]
    params = {"x": "1"}
    values, errors = extract_query_params(deps, params) # 16.6ms -> 15.6ms (7.00% faster)

def test_many_params():
    """Test with a dependency expecting many params."""
    def dep_many(**kwargs):
        return kwargs
    params = {f"key{i}": str(i) for i in range(100)}
    # Create a dependency that takes all these keys as keyword arguments
    def dep(**kwargs):
        return kwargs
    values, errors = extract_query_params([dep], params) # 405μs -> 426μs (5.05% slower)

def test_large_list_param():
    """Dependency with a large list param."""
    items = [str(i) for i in range(500)]
    values, errors = extract_query_params([dep_list_param], {"items": items}) # 824μs -> 502μs (64.0% faster)

def test_large_number_of_disjoint_dependencies():
    """Test with many dependencies, each expecting a unique param."""
    def make_dep(i):
        def dep(x: int):
            return {f"x{i}": x}
        dep.__name__ = f"dep_{i}"
        dep.__annotations__ = {"x": int}
        return dep
    deps = [make_dep(i) for i in range(50)]
    params = {f"x{i}": str(i) for i in range(50)}
    values, errors = extract_query_params(deps, params) # 12.6ms -> 8.12ms (55.2% faster)

def test_large_number_of_overlapping_dependencies():
    """Test with many dependencies, all expecting the same param name."""
    def dep(x: int):
        return {"x": x}
    deps = [dep for _ in range(100)]
    params = {"x": "42"}
    values, errors = extract_query_params(deps, params) # 17.9ms -> 1.64ms (995% faster)
# 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-extract_query_params-mi8cxfoj and push.

Codeflash Static Badge

The optimized code achieves a **109% speedup** through two key optimizations that target the most expensive operations:

**1. Caching `get_dependant` Results (78% of time savings)**
The original code calls `get_dependant(path="", call=dependency)` on every invocation, which the profiler shows takes 68.8% of execution time (157ms out of 228ms). The optimization adds function-level caching using a `_titiler_gdp_cached_dep` attribute on each dependency callable. When the same dependency is processed multiple times, subsequent calls retrieve the cached result instead of re-analyzing the dependency structure.

**2. Hoisting `QueryParams` Creation (Additional efficiency)**
In `extract_query_params`, the original code performed `isinstance(params, Dict)` and `urlencode()` inside `get_dependency_query_params` for every dependency. The optimization moves this check outside the loop, converting `Dict` to `QueryParams` once and reusing it across all dependencies.

**Performance Impact by Test Case:**
- **Repeated dependencies** see dramatic gains (995% faster for 100 identical dependencies)
- **Single dependency calls** show 6-8x improvements due to reduced `get_dependant` overhead
- **Large-scale scenarios** benefit most, with 50+ dependencies seeing 55-99% speedups
- **Simple cases** still improve significantly (261-795% faster)

The caching is safe because `get_dependant` results are deterministic per callable and don't change during runtime. These optimizations are particularly valuable in web frameworks where the same dependencies are processed repeatedly across requests.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 21, 2025 04:25
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Nov 21, 2025
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