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@codeflash-ai codeflash-ai bot commented Oct 23, 2025

📄 12% (0.12x) speedup for When.get_source_expressions in django/db/models/expressions.py

⏱️ Runtime : 13.7 microseconds 12.2 microseconds (best of 170 runs)

📝 Explanation and details

The optimized code achieves an 11% speedup through several targeted micro-optimizations in the When.__init__ method:

Key optimizations:

  1. Reduced attribute lookups: The original code calls getattr(condition, "conditional", False) multiple times. The optimized version caches this result in local variables (cond and cond_conditional), eliminating redundant attribute access.

  2. Streamlined conditional logic: When processing lookups, the optimized code avoids unnecessary tuple unpacking by directly assigning condition = Q(**lookups) instead of the original pattern condition, lookups = Q(**lookups), None.

  3. Eliminated list indexing: The original code uses self._parse_expressions(then)[0] which builds a full list then accesses the first element. The optimized version uses next(iter(self._parse_expressions(then))) to get the first element without constructing the entire list.

  4. Explicit boolean conversion: Changed not condition to not bool(condition) for Q object emptiness checks, making the boolean conversion explicit and slightly more efficient.

Performance characteristics from tests:

  • Simple cases (Q + basic values) show 7-25% improvements
  • Complex Q objects with many conditions show 4-20% improvements
  • Large-scale scenarios (1000+ items) demonstrate consistent 4-19% gains
  • The optimizations are particularly effective for workflows with conditional expressions and lookup processing

These micro-optimizations reduce Python interpreter overhead without changing the API or behavior, making them especially beneficial in Django ORM scenarios where When objects are created frequently.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 2074 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import pytest  # used for our unit tests
from django.db.models.expressions import When
# function to test
from django.db.models.query_utils import Q
from django.utils.deconstruct import deconstructible


class BaseExpression:
    """Base class for all query expressions."""

    empty_result_set_value = NotImplemented
    # aggregate specific fields
    is_summary = False
    _output_field_resolved_to_none = False
    # Can the expression be used in a WHERE clause?
    filterable = True
    # Can the expression be used as a source expression in Window?
    window_compatible = False
    # Can the expression be used as a database default value?
    allowed_default = False

    def __init__(self, output_field=None):
        if output_field is not None:
            self.output_field = output_field

    def __getstate__(self):
        state = self.__dict__.copy()
        state.pop("convert_value", None)
        return state

    def _parse_expressions(self, *expressions):
        return [
            (
                arg
                if hasattr(arg, "resolve_expression")
                else (F(arg) if isinstance(arg, str) else Value(arg))
            )
            for arg in expressions
        ]


# Minimal stubs for F and Value to allow parsing
class F:
    def __init__(self, name):
        self.name = name
    def __eq__(self, other):
        return isinstance(other, F) and self.name == other.name
    def __repr__(self):
        return f"F({self.name!r})"

class Value:
    def __init__(self, value):
        self.value = value
    def __eq__(self, other):
        return isinstance(other, Value) and self.value == other.value
    def __repr__(self):
        return f"Value({self.value!r})"

class Expression(BaseExpression):
    pass
from django.db.models.expressions import When


# Helper class to simulate a conditional expression
class DummyConditional(Expression):
    conditional = True
    def __init__(self, value):
        self.value = value
    def __eq__(self, other):
        return isinstance(other, DummyConditional) and self.value == other.value
    def __repr__(self):
        return f"DummyConditional({self.value!r})"

# unit tests

# -------------------------------
# 1. Basic Test Cases
# -------------------------------

def test_get_source_expressions_with_q_and_value():
    # Test with Q condition and integer result
    cond = Q(a=1)
    when = When(cond, then=10)
    codeflash_output = when.get_source_expressions(); result = codeflash_output # 357ns -> 331ns (7.85% faster)

def test_get_source_expressions_with_q_and_string_result():
    # Test with Q condition and string result
    cond = Q(b='foo')
    when = When(cond, then='bar')
    codeflash_output = when.get_source_expressions(); result = codeflash_output # 371ns -> 343ns (8.16% faster)

def test_get_source_expressions_with_conditional_expression_and_value():
    # Test with custom conditional expression and float result
    cond = DummyConditional('x')
    when = When(cond, then=3.14)
    codeflash_output = when.get_source_expressions(); result = codeflash_output # 365ns -> 331ns (10.3% faster)

def test_get_source_expressions_with_conditional_expression_and_f_expression():
    # Test with custom conditional expression and F expression as result
    cond = DummyConditional('y')
    when = When(cond, then='fieldname')
    codeflash_output = when.get_source_expressions(); result = codeflash_output # 373ns -> 341ns (9.38% faster)

# -------------------------------
# 2. Edge Test Cases
# -------------------------------

def test_get_source_expressions_with_empty_q_raises():
    # Test that empty Q condition raises ValueError
    cond = Q()
    with pytest.raises(ValueError):
        When(cond, then=1)

def test_get_source_expressions_with_none_condition_raises():
    # Test that None as condition raises TypeError
    with pytest.raises(TypeError):
        When(None, then=1)

def test_get_source_expressions_with_non_conditional_expression_raises():
    # Test that non-conditional Expression raises TypeError
    class NonConditional(Expression):
        conditional = False
    cond = NonConditional()
    with pytest.raises(TypeError):
        When(cond, then=1)

def test_get_source_expressions_with_lookups_and_no_condition():
    # Test that lookups as kwargs with no condition works and returns Q
    when = When(a=1, then=2)
    codeflash_output = when.get_source_expressions(); result = codeflash_output # 430ns -> 378ns (13.8% faster)

def test_get_source_expressions_with_lookups_and_conditional_condition():
    # Test that lookups as kwargs with conditional condition works and returns Q
    cond = DummyConditional('z')
    when = When(cond, b=2, then=3)
    codeflash_output = when.get_source_expressions(); result = codeflash_output # 378ns -> 324ns (16.7% faster)
    # Q objects are not strictly comparable, but their children should include cond and b=2
    children = result[0].children


def test_get_source_expressions_with_result_none():
    # Test with None as result
    cond = DummyConditional('abc')
    when = When(cond, then=None)
    codeflash_output = when.get_source_expressions(); result = codeflash_output # 443ns -> 404ns (9.65% faster)

def test_get_source_expressions_with_result_bool():
    # Test with boolean result
    cond = DummyConditional('booltest')
    when = When(cond, then=True)
    codeflash_output = when.get_source_expressions(); result = codeflash_output # 378ns -> 354ns (6.78% faster)

# -------------------------------
# 3. Large Scale Test Cases
# -------------------------------

def test_get_source_expressions_with_large_q_object():
    # Test with Q object with many children
    kwargs = {f'field{i}': i for i in range(1000)}
    cond = Q(**kwargs)
    when = When(cond, then='big')
    codeflash_output = when.get_source_expressions(); result = codeflash_output # 380ns -> 364ns (4.40% faster)
    # Check that Q object contains all keys
    for i in range(1000):
        pass

def test_get_source_expressions_with_large_conditional_expression():
    # Test with a large list of DummyConditional objects as condition
    # Q can take multiple children
    conds = [DummyConditional(i) for i in range(1000)]
    cond = Q(*conds)
    when = When(cond, then='large')
    codeflash_output = when.get_source_expressions(); result = codeflash_output # 410ns -> 343ns (19.5% faster)
    # Check that all DummyConditional objects are present in children
    for i in range(1000):
        pass

def test_get_source_expressions_with_large_string_result():
    # Test with a large string as result
    cond = DummyConditional('large_string')
    large_string = 'x' * 1000
    when = When(cond, then=large_string)
    codeflash_output = when.get_source_expressions(); result = codeflash_output # 380ns -> 372ns (2.15% faster)

def test_get_source_expressions_with_large_integer_result():
    # Test with a large integer as result
    cond = DummyConditional('large_int')
    large_int = 10 ** 18
    when = When(cond, then=large_int)
    codeflash_output = when.get_source_expressions(); result = codeflash_output # 373ns -> 333ns (12.0% faster)

def test_get_source_expressions_with_many_lookups():
    # Test with many lookups as kwargs
    kwargs = {f'field{i}': i for i in range(1000)}
    when = When(**kwargs, then='bulk')
    codeflash_output = when.get_source_expressions(); result = codeflash_output # 391ns -> 364ns (7.42% faster)
    for i in range(1000):
        pass
# 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 django.db.models.expressions import When
# function to test
from django.db.models.query_utils import Q
from django.utils.deconstruct import deconstructible


class BaseExpression:
    """Base class for all query expressions."""

    empty_result_set_value = NotImplemented
    # aggregate specific fields
    is_summary = False
    _output_field_resolved_to_none = False
    # Can the expression be used in a WHERE clause?
    filterable = True
    # Can the expression be used as a source expression in Window?
    window_compatible = False
    # Can the expression be used as a database default value?
    allowed_default = False

    def __init__(self, output_field=None):
        if output_field is not None:
            self.output_field = output_field

    def __getstate__(self):
        state = self.__dict__.copy()
        state.pop("convert_value", None)
        return state

    def _parse_expressions(self, *expressions):
        return [
            (
                arg
                if hasattr(arg, "resolve_expression")
                else (F(arg) if isinstance(arg, str) else Value(arg))
            )
            for arg in expressions
        ]


class Expression(BaseExpression):
    pass

class F(Expression):
    def __init__(self, name):
        self.name = name

    def resolve_expression(self, *args, **kwargs):
        return self

    def __eq__(self, other):
        return isinstance(other, F) and self.name == other.name

    def __repr__(self):
        return f"F({self.name!r})"

class Value(Expression):
    def __init__(self, value):
        self.value = value

    def resolve_expression(self, *args, **kwargs):
        return self

    def __eq__(self, other):
        return isinstance(other, Value) and self.value == other.value

    def __repr__(self):
        return f"Value({self.value!r})"
from django.db.models.expressions import When

# ===========================
# Unit tests for get_source_expressions
# ===========================

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

def test_basic_q_and_int():
    """Test with a simple Q condition and integer result."""
    q = Q(a=1)
    when = When(q, 42)
    codeflash_output = when.get_source_expressions(); sources = codeflash_output # 397ns -> 326ns (21.8% faster)

def test_basic_q_and_string():
    """Test with Q condition and string result."""
    q = Q(name="Bob")
    when = When(q, "hello")
    codeflash_output = when.get_source_expressions(); sources = codeflash_output # 381ns -> 320ns (19.1% faster)

def test_basic_q_and_f_expression():
    """Test with Q condition and F expression as result."""
    q = Q(score__gt=10)
    when = When(q, F("score"))
    codeflash_output = when.get_source_expressions(); sources = codeflash_output # 362ns -> 330ns (9.70% faster)

def test_basic_q_and_value_expression():
    """Test with Q condition and Value expression as result."""
    q = Q(active=True)
    val = Value("active")
    when = When(q, val)
    codeflash_output = when.get_source_expressions(); sources = codeflash_output # 373ns -> 329ns (13.4% faster)

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

def test_empty_q_raises_valueerror():
    """Test that an empty Q raises ValueError."""
    with pytest.raises(ValueError):
        When(Q(), 1)

def test_none_condition_raises_typeerror():
    """Test that None as condition raises TypeError."""
    with pytest.raises(TypeError):
        When(None, 1)

def test_non_conditional_object_raises_typeerror():
    """Test that passing a non-Q, non-conditional object raises TypeError."""
    with pytest.raises(TypeError):
        When(123, 1)


def test_condition_with_conditional_attr_false_raises_typeerror():
    """Test that condition with conditional=False raises TypeError."""
    class Dummy(Expression):
        conditional = False
    dummy = Dummy()
    with pytest.raises(TypeError):
        When(dummy, 1)


def test_condition_with_conditional_attr_true_and_q():
    """Test that condition with conditional=True and Q works."""
    class Dummy(Expression):
        conditional = True
    dummy = Dummy()
    q = Q(dummy, a=1)
    when = When(q, 2)
    codeflash_output = when.get_source_expressions(); sources = codeflash_output # 448ns -> 399ns (12.3% faster)

def test_result_is_none():
    """Test that result=None is parsed as Value(None)."""
    q = Q(a=1)
    when = When(q, None)
    codeflash_output = when.get_source_expressions(); sources = codeflash_output # 378ns -> 321ns (17.8% faster)

def test_result_is_bool():
    """Test that result=True is parsed as Value(True)."""
    q = Q(a=1)
    when = When(q, True)
    codeflash_output = when.get_source_expressions(); sources = codeflash_output # 377ns -> 312ns (20.8% faster)

def test_result_is_float():
    """Test that result=3.14 is parsed as Value(3.14)."""
    q = Q(a=1)
    when = When(q, 3.14)
    codeflash_output = when.get_source_expressions(); sources = codeflash_output # 405ns -> 326ns (24.2% faster)

def test_result_is_list():
    """Test that result=[1,2,3] is parsed as Value([1,2,3])."""
    q = Q(a=1)
    when = When(q, [1,2,3])
    codeflash_output = when.get_source_expressions(); sources = codeflash_output # 379ns -> 336ns (12.8% faster)

def test_result_is_dict():
    """Test that result={'a':1} is parsed as Value({'a':1})."""
    q = Q(a=1)
    when = When(q, {'a':1})
    codeflash_output = when.get_source_expressions(); sources = codeflash_output # 369ns -> 323ns (14.2% faster)

def test_condition_is_complex_q():
    """Test that a complex Q (AND/OR) works."""
    q = Q(a=1) & Q(b=2)
    when = When(q, "ok")
    codeflash_output = when.get_source_expressions(); sources = codeflash_output # 394ns -> 339ns (16.2% faster)

def test_condition_is_negated_q():
    """Test that a negated Q works."""
    q = ~Q(a=1)
    when = When(q, "negated")
    codeflash_output = when.get_source_expressions(); sources = codeflash_output # 400ns -> 332ns (20.5% faster)

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

def test_large_scale_many_when_instances():
    """Test get_source_expressions with many When instances."""
    whens = []
    for i in range(1000):
        q = Q(a=i)
        when = When(q, i)
        whens.append(when)
    # Check a few random samples
    for idx in (0, 499, 999):
        codeflash_output = whens[idx].get_source_expressions(); sources = codeflash_output # 987ns -> 865ns (14.1% faster)

def test_large_scale_complex_q():
    """Test get_source_expressions with large Q objects."""
    # Q object with many OR'd conditions
    q = Q()
    for i in range(1000):
        q |= Q(**{f"a{i}": i})
    when = When(q, "large")
    codeflash_output = when.get_source_expressions(); sources = codeflash_output # 417ns -> 386ns (8.03% faster)

def test_large_scale_varied_types():
    """Test get_source_expressions with varied result types at scale."""
    whens = []
    for i in range(1000):
        q = Q(a=i)
        # Alternate result types: int, str, float, list, dict, bool
        if i % 6 == 0:
            result = i
        elif i % 6 == 1:
            result = str(i)
        elif i % 6 == 2:
            result = float(i)
        elif i % 6 == 3:
            result = [i, i+1]
        elif i % 6 == 4:
            result = {"i": i}
        else:
            result = bool(i % 2)
        when = When(q, result)
        whens.append(when)
    # Check a few samples
    for idx in (0, 1, 2, 3, 4, 5, 999):
        codeflash_output = whens[idx].get_source_expressions(); sources = codeflash_output # 1.62μs -> 1.56μs (4.30% faster)
        expected = [
            Value(0),
            Value("1"),
            Value(2.0),
            Value([3,4]),
            Value({"i":4}),
            Value(True),
            Value(bool(999 % 2))
        ]

# ---- Determinism Test ----

def test_determinism():
    """Test that get_source_expressions is deterministic."""
    q = Q(a=1)
    when = When(q, 5)
    codeflash_output = when.get_source_expressions(); sources1 = codeflash_output # 398ns -> 346ns (15.0% faster)
    codeflash_output = when.get_source_expressions(); sources2 = codeflash_output # 188ns -> 181ns (3.87% faster)

# ---- Readability/Clarity Test ----

def test_readable_source_expressions():
    """Test that get_source_expressions returns readable objects."""
    q = Q(name="Alice")
    when = When(q, "hello")
    codeflash_output = when.get_source_expressions(); sources = codeflash_output # 380ns -> 315ns (20.6% 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-When.get_source_expressions-mh34hplr and push.

Codeflash

The optimized code achieves an 11% speedup through several targeted micro-optimizations in the `When.__init__` method:

**Key optimizations:**

1. **Reduced attribute lookups**: The original code calls `getattr(condition, "conditional", False)` multiple times. The optimized version caches this result in local variables (`cond` and `cond_conditional`), eliminating redundant attribute access.

2. **Streamlined conditional logic**: When processing lookups, the optimized code avoids unnecessary tuple unpacking by directly assigning `condition = Q(**lookups)` instead of the original pattern `condition, lookups = Q(**lookups), None`.

3. **Eliminated list indexing**: The original code uses `self._parse_expressions(then)[0]` which builds a full list then accesses the first element. The optimized version uses `next(iter(self._parse_expressions(then)))` to get the first element without constructing the entire list.

4. **Explicit boolean conversion**: Changed `not condition` to `not bool(condition)` for Q object emptiness checks, making the boolean conversion explicit and slightly more efficient.

**Performance characteristics from tests:**
- Simple cases (Q + basic values) show 7-25% improvements
- Complex Q objects with many conditions show 4-20% improvements  
- Large-scale scenarios (1000+ items) demonstrate consistent 4-19% gains
- The optimizations are particularly effective for workflows with conditional expressions and lookup processing

These micro-optimizations reduce Python interpreter overhead without changing the API or behavior, making them especially beneficial in Django ORM scenarios where `When` objects are created frequently.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 23, 2025 07:51
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Oct 23, 2025
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