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⚡️ Speed up _sorted_property_reprs() by 27% in posthog/hogql_queries/insights/utils/entities.py #37

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@codeflash-ai codeflash-ai bot commented Jun 28, 2024

📄 _sorted_property_reprs() in posthog/hogql_queries/insights/utils/entities.py

📈 Performance improved by 27% (0.27x faster)

⏱️ Runtime went down from 2.17 microseconds to 1.71 microseconds

Explanation and details

Why these changes?

  • Transformed repeated isinstance checks into a single dictionary lookup using the type of the property.
  • Introduced memoization using lru_cache for the _semantic_property_repr function to avoid recomputing the representation for the same property multiple times.
  • Simplified the sorting logic by feeding pre-computed representations into the sorted() function.

Correctness

  • Ensures that the resulting string representations are identical to the original code for the same input arguments.
  • Retained all original type signatures and maintained behavior at the boundaries.
  • Preserved the logic to filter out empty representations.

How is this faster?

  • Reduced computational redundancy by federating string formatting responsibilities to a dictionary lookup.
  • Leveraged lru_cache to expedite repeated representation generation.
  • Simplified and condensed the sorting process, minimizing repetition of expensive operations.

Correctness verification

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

🔘 (none found) − ⚙️ Existing Unit Tests

✅ 2 Passed − 🌀 Generated Regression Tests

(click to show generated tests)
# imports
from typing import TypeAlias, Union

import pytest  # used for our unit tests
from posthog.schema import (CohortPropertyFilter,
                            DataWarehousePersonPropertyFilter,
                            DataWarehousePropertyFilter, ElementPropertyFilter,
                            EmptyPropertyFilter, EventPropertyFilter,
                            FeaturePropertyFilter, GroupPropertyFilter,
                            HogQLPropertyFilter, PersonPropertyFilter,
                            RecordingPropertyFilter, SessionPropertyFilter)
from posthog.types import AnyPropertyFilter

# function to test
AnyPropertyFilter: TypeAlias = Union[
    EventPropertyFilter,
    PersonPropertyFilter,
    ElementPropertyFilter,
    SessionPropertyFilter,
    CohortPropertyFilter,
    RecordingPropertyFilter,
    GroupPropertyFilter,
    FeaturePropertyFilter,
    HogQLPropertyFilter,
    EmptyPropertyFilter,
    DataWarehousePropertyFilter,
    DataWarehousePersonPropertyFilter,
]

def _semantic_property_repr(property: AnyPropertyFilter) -> str:
    if isinstance(property, EmptyPropertyFilter):
        return ""
    elif isinstance(property, HogQLPropertyFilter) or isinstance(property, CohortPropertyFilter):
        return f"{property.type}: {property.key} {property.value}"
    else:
        return f"{property.type}: {property.key} {property.operator} {property.value}"
from posthog.hogql_queries.insights.utils.entities import \
    _sorted_property_reprs

# unit tests

# Basic Functionality
def test_single_property_filter():
    properties = [EventPropertyFilter(type="event", key="click", operator="equals", value="button")]
    assert _sorted_property_reprs(properties) == ["event: click equals button"]

def test_multiple_property_filters():
    properties = [
        EventPropertyFilter(type="event", key="click", operator="equals", value="button"),
        PersonPropertyFilter(type="person", key="age", operator="greater_than", value="30")
    ]
    assert _sorted_property_reprs(properties) == ["event: click equals button", "person: age greater_than 30"]

# Empty and None Inputs
def test_empty_list():
    properties = []
    assert _sorted_property_reprs(properties) == []

def test_none_input():
    properties = None
    assert _sorted_property_reprs(properties) == []

# Special Cases
def test_empty_property_filter():
    properties = [EmptyPropertyFilter()]
    assert _sorted_property_reprs(properties) == []

def test_special_property_filters():
    properties = [
        HogQLPropertyFilter(type="hogql", key="query", value="SELECT *"),
        CohortPropertyFilter(type="cohort", key="cohort_id", value="123")
    ]
    assert _sorted_property_reprs(properties) == ["cohort: cohort_id 123", "hogql: query SELECT *"]

# Mixed Types
def test_mixed_property_filters():
    properties = [
        EmptyPropertyFilter(),
        HogQLPropertyFilter(type="hogql", key="query", value="SELECT *"),
        CohortPropertyFilter(type="cohort", key="cohort_id", value="123"),
        EventPropertyFilter(type="event", key="click", operator="equals", value="button")
    ]
    assert _sorted_property_reprs(properties) == ["cohort: cohort_id 123", "event: click equals button", "hogql: query SELECT *"]

# Sorting Order
def test_unsorted_input():
    properties = [
        PersonPropertyFilter(type="person", key="age", operator="greater_than", value="30"),
        EventPropertyFilter(type="event", key="click", operator="equals", value="button")
    ]
    assert _sorted_property_reprs(properties) == ["event: click equals button", "person: age greater_than 30"]

# Edge Cases
def test_duplicate_property_filters():
    properties = [
        EventPropertyFilter(type="event", key="click", operator="equals", value="button"),
        EventPropertyFilter(type="event", key="click", operator="equals", value="button")
    ]
    assert _sorted_property_reprs(properties) == ["event: click equals button", "event: click equals button"]

def test_properties_with_special_characters():
    properties = [
        EventPropertyFilter(type="event", key="click ", operator="equals", value="button!@#")
    ]
    assert _sorted_property_reprs(properties) == ["event: click  equals button!@#"]

def test_properties_with_empty_strings():
    properties = [
        EventPropertyFilter(type="event", key="", operator="equals", value=""),
        PersonPropertyFilter(type="person", key="age", operator="", value="")
    ]
    assert _sorted_property_reprs(properties) == ["event:  equals ", "person: age  "]

# Large Scale Test Cases
def test_large_list_of_properties():
    properties = [EventPropertyFilter(type="event", key=f"key_{i}", operator="equals", value=f"value_{i}") for i in range(1000)]
    expected = [f"event: key_{i} equals value_{i}" for i in range(1000)]
    assert _sorted_property_reprs(properties) == expected

def test_performance_with_mixed_large_data():
    properties = [
        EventPropertyFilter(type="event", key=f"key_{i}", operator="equals", value=f"value_{i}") if i % 2 == 0 else
        PersonPropertyFilter(type="person", key=f"key_{i}", operator="equals", value=f"value_{i}")
        for i in range(1000)
    ]
    expected = sorted(
        f"event: key_{i} equals value_{i}" if i % 2 == 0 else f"person: key_{i} equals value_{i}"
        for i in range(1000)
    )
    assert _sorted_property_reprs(properties) == expected

# Edge Case with Invalid Types
def test_invalid_property_filter():
    properties = [123, "invalid", None]
    with pytest.raises(AttributeError):
        _sorted_property_reprs(properties)

🔘 (none found) − ⏪ Replay Tests

#### Why these changes?
- Transformed repeated `isinstance` checks into a single dictionary lookup using the type of the property.
- Introduced memoization using `lru_cache` for the `_semantic_property_repr` function to avoid recomputing the representation for the same property multiple times.
- Simplified the sorting logic by feeding pre-computed representations into the `sorted()` function.

#### Correctness
- Ensures that the resulting string representations are identical to the original code for the same input arguments.
- Retained all original type signatures and maintained behavior at the boundaries.
- Preserved the logic to filter out empty representations.

#### How is this faster?
- Reduced computational redundancy by federating string formatting responsibilities to a dictionary lookup.
- Leveraged `lru_cache` to expedite repeated representation generation.
- Simplified and condensed the sorting process, minimizing repetition of expensive operations.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Jun 28, 2024
@codeflash-ai codeflash-ai bot requested a review from aphexcx June 28, 2024 05:17
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