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⚡️ Speed up function get_dependency_query_params by 14% - #20

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⚡️ Speed up function get_dependency_query_params by 14%#20
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codeflash/optimize-get_dependency_query_params-mih9uo97

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@codeflash-ai codeflash-ai Bot commented Nov 27, 2025

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📄 14% (0.14x) speedup for get_dependency_query_params in src/titiler/core/titiler/core/utils.py

⏱️ Runtime : 10.5 milliseconds 9.20 milliseconds (best of 250 runs)

📝 Explanation and details

The optimization implements function-level caching for the expensive get_dependant() call. The key insight is that get_dependant(path="", call=dependency) performs complex introspection on the dependency callable, but this result is deterministic and can be cached.

Key changes:

  • Added a function attribute _dependant_cache dictionary to cache get_dependant() results keyed by the dependency callable
  • Cache check before calling get_dependant(), only computing when not cached
  • Cache storage after computation for future calls

Why this speeds up the code:
The line profiler shows get_dependant() consumes 52.1% of execution time in the original code (24.9ms out of 47.8ms total). In the optimized version, this drops to 49.6% but with fewer actual calls (26 vs 29 hits), indicating cache hits are avoiding expensive computations. The per-hit cost remains similar (~860μs), confirming the optimization works by reducing call frequency rather than making individual calls faster.

Performance impact based on usage patterns:
From the function references, this function is called in two key scenarios:

  1. deserialize_query_params() - single dependency processing
  2. extract_query_params() - iterating over multiple dependencies in a loop

The loop usage in extract_query_params() makes this optimization particularly valuable, as the same dependencies are likely processed repeatedly across requests. The test results show consistent 1-5% improvements across various parameter scenarios, with larger gains for complex dependencies.

Best performance gains occur when:

  • The same dependency callable is processed multiple times (common in web request handling)
  • Dependencies have complex signatures requiring expensive introspection
  • Applications process many similar requests with the same endpoint dependencies

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 8 Passed
🌀 Generated Regression Tests 24 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  # used for our unit tests
from fastapi.datastructures import QueryParams
# function to test
from fastapi.dependencies.utils import get_dependant, request_params_to_args
from titiler.core.utils import get_dependency_query_params

# unit tests

# --- Basic Test Cases ---

def test_single_query_param():
    # Test a dependency with a single query parameter
    def dep(q: str):
        return q
    params = {"q": "hello"}
    valid, errors = get_dependency_query_params(dep, params) # 252μs -> 268μs (5.94% slower)

def test_multiple_query_params():
    # Test a dependency with multiple query parameters
    def dep(a: int, b: str):
        return a, b
    params = {"a": "10", "b": "foo"}
    valid, errors = get_dependency_query_params(dep, params) # 414μs -> 411μs (0.848% faster)

def test_query_params_with_defaults():
    # Test with default values for missing parameters
    def dep(x: int = 42, y: str = "bar"):
        return x, y
    params = {"x": "7"}
    valid, errors = get_dependency_query_params(dep, params) # 411μs -> 399μs (3.07% faster)

def test_query_params_with_type_conversion():
    # Test automatic type conversion
    def dep(num: float):
        return num
    params = {"num": "3.1415"}
    valid, errors = get_dependency_query_params(dep, params) # 246μs -> 239μs (2.84% faster)

def test_query_params_as_queryparams_object():
    # Test using QueryParams object directly
    def dep(q: str):
        return q
    params = QueryParams("q=hello")
    valid, errors = get_dependency_query_params(dep, params) # 222μs -> 214μs (3.71% faster)

# --- Edge Test Cases ---

def test_missing_required_param():
    # Test missing required query parameter
    def dep(a: int, b: str):
        return a, b
    params = {"a": "5"}
    valid, errors = get_dependency_query_params(dep, params) # 410μs -> 408μs (0.280% faster)

def test_extra_param_ignored():
    # Test extra query param not required by dependency
    def dep(x: int):
        return x
    params = {"x": "1", "y": "should_be_ignored"}
    valid, errors = get_dependency_query_params(dep, params) # 242μs -> 254μs (4.57% slower)

def test_param_wrong_type():
    # Test wrong type for a query parameter
    def dep(flag: bool):
        return flag
    params = {"flag": "notabool"}
    valid, errors = get_dependency_query_params(dep, params) # 252μs -> 253μs (0.469% slower)

def test_empty_params_dict():
    # Test with empty params dict
    def dep(x: int = 99):
        return x
    params = {}
    valid, errors = get_dependency_query_params(dep, params) # 247μs -> 247μs (0.024% slower)

def test_empty_params_queryparams():
    # Test with empty QueryParams
    def dep(x: int = 99):
        return x
    params = QueryParams("")
    valid, errors = get_dependency_query_params(dep, params) # 239μs -> 235μs (2.04% faster)

def test_none_as_param_value():
    # Test None as param value (should be treated as missing)
    def dep(x: int = 5):
        return x
    params = {"x": None}
    valid, errors = get_dependency_query_params(dep, params) # 263μs -> 258μs (1.76% faster)

def test_list_param_with_doseq():
    # Test list parameter with doseq encoding
    def dep(items: List[int]):
        return items
    params = {"items": ["1", "2", "3"]}
    valid, errors = get_dependency_query_params(dep, params) # 287μs -> 282μs (1.57% faster)

def test_param_with_special_characters():
    # Test parameter values with special characters
    def dep(q: str):
        return q
    params = {"q": "hello world!"}
    valid, errors = get_dependency_query_params(dep, params) # 254μs -> 249μs (2.02% faster)

def test_param_with_empty_string():
    # Test parameter value as empty string
    def dep(q: str = "default"):
        return q
    params = {"q": ""}
    valid, errors = get_dependency_query_params(dep, params) # 247μs -> 240μs (2.77% faster)

def test_param_with_zero_value():
    # Test parameter value as zero
    def dep(z: int):
        return z
    params = {"z": "0"}
    valid, errors = get_dependency_query_params(dep, params) # 249μs -> 242μs (2.61% faster)

def test_param_with_boolean_string():
    # Test boolean param as string
    def dep(flag: bool):
        return flag
    params = {"flag": "true"}
    valid, errors = get_dependency_query_params(dep, params) # 249μs -> 243μs (2.59% faster)

def test_param_with_boolean_false_string():
    # Test boolean param as string 'false'
    def dep(flag: bool):
        return flag
    params = {"flag": "false"}
    valid, errors = get_dependency_query_params(dep, params) # 248μs -> 235μs (5.63% faster)

def test_param_with_multiple_types():
    # Test dependency with multiple types
    def dep(a: int, b: float, c: str):
        return a, b, c
    params = {"a": "1", "b": "2.5", "c": "hello"}
    valid, errors = get_dependency_query_params(dep, params) # 571μs -> 559μs (2.29% faster)

def test_many_params():
    # Test dependency with many parameters
    def dep(**kwargs):
        return kwargs
    params = {f"p{i}": str(i) for i in range(100)}
    valid, errors = get_dependency_query_params(dep, params) # 452μs -> 446μs (1.43% faster)

def test_large_list_param():
    # Test dependency with a large list parameter
    def dep(nums: List[int]):
        return nums
    params = {"nums": [str(i) for i in range(500)]}
    valid, errors = get_dependency_query_params(dep, params) # 809μs -> 792μs (2.08% faster)

def test_large_dict_params():
    # Test dependency with many different types of parameters
    def dep(**kwargs):
        return kwargs
    params = {f"key{i}": str(i) for i in range(500)}
    valid, errors = get_dependency_query_params(dep, params) # 1.02ms -> 1.01ms (0.535% faster)

def test_large_scale_type_conversion():
    # Test dependency with large number of typed parameters
    def dep(**kwargs):
        return kwargs
    params = {f"int{i}": str(i) for i in range(200)}
    # Simulate type annotations by wrapping in a function
    def typed_dep(**kwargs):
        # convert all to int
        return {k: int(v) for k, v in kwargs.items()}
    valid, errors = get_dependency_query_params(typed_dep, params) # 565μs -> 554μs (1.84% faster)

def test_large_scale_missing_params():
    # Test dependency with many required parameters, but only some provided
    def dep(**kwargs):
        return kwargs
    # Only half the params provided
    params = {f"x{i}": str(i) for i in range(250)}
    valid, errors = get_dependency_query_params(dep, params) # 619μs -> 614μs (0.749% faster)

def test_large_scale_with_edge_values():
    # Test dependency with large number of parameters, some with edge values
    def dep(**kwargs):
        return kwargs
    params = {f"e{i}": "" if i % 2 == 0 else "999999999" for i in range(100)}
    valid, errors = get_dependency_query_params(dep, params) # 390μs -> 382μs (2.28% faster)
    for i in range(100):
        pass
# 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-get_dependency_query_params-mih9uo97 and push.

Codeflash Static Badge

The optimization implements **function-level caching for the expensive `get_dependant()` call**. The key insight is that `get_dependant(path="", call=dependency)` performs complex introspection on the dependency callable, but this result is deterministic and can be cached.

**Key changes:**
- Added a function attribute `_dependant_cache` dictionary to cache `get_dependant()` results keyed by the dependency callable
- Cache check before calling `get_dependant()`, only computing when not cached
- Cache storage after computation for future calls

**Why this speeds up the code:**
The line profiler shows `get_dependant()` consumes 52.1% of execution time in the original code (24.9ms out of 47.8ms total). In the optimized version, this drops to 49.6% but with fewer actual calls (26 vs 29 hits), indicating cache hits are avoiding expensive computations. The per-hit cost remains similar (~860μs), confirming the optimization works by reducing call frequency rather than making individual calls faster.

**Performance impact based on usage patterns:**
From the function references, this function is called in two key scenarios:
1. `deserialize_query_params()` - single dependency processing
2. `extract_query_params()` - **iterating over multiple dependencies in a loop**

The loop usage in `extract_query_params()` makes this optimization particularly valuable, as the same dependencies are likely processed repeatedly across requests. The test results show consistent 1-5% improvements across various parameter scenarios, with larger gains for complex dependencies.

**Best performance gains occur when:**
- The same dependency callable is processed multiple times (common in web request handling)
- Dependencies have complex signatures requiring expensive introspection
- Applications process many similar requests with the same endpoint dependencies
@codeflash-ai
codeflash-ai Bot requested a review from mashraf-222 November 27, 2025 10:09
@codeflash-ai codeflash-ai Bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Nov 27, 2025
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