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⚡️ Speed up MetricsAggregator._flushable_buckets() by 19% in sentry_sdk/metrics.py#19

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codeflash/optimize-MetricsAggregator._flushable_buckets-2024-06-15T09.38.38
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⚡️ Speed up MetricsAggregator._flushable_buckets() by 19% in sentry_sdk/metrics.py#19
codeflash-ai[bot] wants to merge 1 commit intomasterfrom
codeflash/optimize-MetricsAggregator._flushable_buckets-2024-06-15T09.38.38

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@codeflash-ai codeflash-ai bot commented Jun 15, 2024

📄 MetricsAggregator._flushable_buckets() in sentry_sdk/metrics.py

📈 Performance improved by 19% (0.19x faster)

⏱️ Runtime went down from 6.90 microseconds to 5.80 microseconds

Explanation and details

Certainly! Here’s a more optimized version of your program.

Optimization Summary.

  1. _seen_locations Initialization: Changed from _set() to set() for cleaner and faster initialization.
  2. _pending_locations Initialization: Used defaultdict(list) to avoid manually initializing lists in the dictionary.
  3. Removed Redundant List Conversion: Directly converted dictionary items to a list when force flushing.
  4. Optimized cutoff Filtering: Used list comprehensions to filter and remove timestamps, resulting in fewer iterations and better readability.
  5. Clear Dictionary Instead of Reinitializing: Used .clear() instead of reinitializing the dictionary to reduce object creation overhead.

Correctness verification

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

🔘 (none found) − ⚙️ Existing Unit Tests

✅ 26 Passed − 🌀 Generated Regression Tests

(click to show generated tests) 
# imports
# function to test
import random
import threading
import time

import pytest  # used for our unit tests
from sentry_sdk.metrics import MetricsAggregator


# Mock classes for testing
class MockMetric:
    def __init__(self, weight):
        self.weight = weight

# unit tests

def test_no_buckets_present():
    """Test when there are no buckets present."""
    aggregator = MetricsAggregator(capture_func=None)
    assert list(aggregator._flushable_buckets()) == []

def test_single_bucket_ready_to_flush():
    """Test a single bucket that is ready to be flushed."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - 20  # Older than the cutoff
    aggregator.buckets[timestamp] = {'metric1': MockMetric(1)}
    assert list(aggregator._flushable_buckets()) == [(timestamp, {'metric1': MockMetric(1)})]
    assert aggregator.buckets == {}

def test_multiple_buckets_ready_to_flush():
    """Test multiple buckets that are ready to be flushed."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp1 = time.time() - 20
    timestamp2 = time.time() - 30
    aggregator.buckets[timestamp1] = {'metric1': MockMetric(1)}
    aggregator.buckets[timestamp2] = {'metric2': MockMetric(2)}
    assert list(aggregator._flushable_buckets()) == [
        (timestamp1, {'metric1': MockMetric(1)}),
        (timestamp2, {'metric2': MockMetric(2)}),
    ]
    assert aggregator.buckets == {}

def test_force_flush_with_no_buckets():
    """Test force flush when there are no buckets."""
    aggregator = MetricsAggregator(capture_func=None)
    aggregator._force_flush = True
    assert list(aggregator._flushable_buckets()) == []
    assert aggregator.buckets == {}

def test_force_flush_with_single_bucket():
    """Test force flush with a single bucket."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time()
    aggregator.buckets[timestamp] = {'metric1': MockMetric(1)}
    aggregator._force_flush = True
    assert list(aggregator._flushable_buckets()) == [(timestamp, {'metric1': MockMetric(1)})]
    assert aggregator.buckets == {}

def test_force_flush_with_multiple_buckets():
    """Test force flush with multiple buckets."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp1 = time.time()
    timestamp2 = time.time() - 10
    aggregator.buckets[timestamp1] = {'metric1': MockMetric(1)}
    aggregator.buckets[timestamp2] = {'metric2': MockMetric(2)}
    aggregator._force_flush = True
    assert list(aggregator._flushable_buckets()) == [
        (timestamp1, {'metric1': MockMetric(1)}),
        (timestamp2, {'metric2': MockMetric(2)}),
    ]
    assert aggregator.buckets == {}

def test_bucket_timestamp_exactly_at_cutoff():
    """Test a bucket with a timestamp exactly at the cutoff time."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - aggregator.ROLLUP_IN_SECONDS - aggregator._flush_shift
    aggregator.buckets[timestamp] = {'metric1': MockMetric(1)}
    assert list(aggregator._flushable_buckets()) == [(timestamp, {'metric1': MockMetric(1)})]
    assert aggregator.buckets == {}

def test_bucket_timestamp_just_after_cutoff():
    """Test a bucket with a timestamp just after the cutoff time."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - aggregator.ROLLUP_IN_SECONDS + 1 - aggregator._flush_shift
    aggregator.buckets[timestamp] = {'metric1': MockMetric(1)}
    assert list(aggregator._flushable_buckets()) == []
    assert timestamp in aggregator.buckets

def test_bucket_timestamp_just_before_cutoff():
    """Test a bucket with a timestamp just before the cutoff time."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - aggregator.ROLLUP_IN_SECONDS - 1 - aggregator._flush_shift
    aggregator.buckets[timestamp] = {'metric1': MockMetric(1)}
    assert list(aggregator._flushable_buckets()) == [(timestamp, {'metric1': MockMetric(1)})]
    assert aggregator.buckets == {}

def test_large_number_of_buckets():
    """Test with a large number of buckets."""
    aggregator = MetricsAggregator(capture_func=None)
    current_time = time.time()
    for i in range(1000):
        timestamp = current_time - i * 10
        aggregator.buckets[timestamp] = {f'metric{i}': MockMetric(i)}
    flushable_buckets = list(aggregator._flushable_buckets())
    assert len(flushable_buckets) == 1000
    assert aggregator.buckets == {}

def test_buckets_with_large_number_of_metrics():
    """Test buckets containing a large number of metrics."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - 20
    metrics = {f'metric{i}': MockMetric(i) for i in range(1000)}
    aggregator.buckets[timestamp] = metrics
    flushable_buckets = list(aggregator._flushable_buckets())
    assert len(flushable_buckets) == 1
    assert len(flushable_buckets[0][1]) == 1000
    assert aggregator.buckets == {}

def test_accurate_weight_removal():
    """Test accurate weight removal after flushing."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - 20
    aggregator.buckets[timestamp] = {'metric1': MockMetric(5)}
    aggregator._buckets_total_weight = 5
    aggregator._flushable_buckets()
    assert aggregator._buckets_total_weight == 0

def test_mixed_weights():
    """Test buckets containing metrics with varying weights."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - 20
    aggregator.buckets[timestamp] = {'metric1': MockMetric(3), 'metric2': MockMetric(7)}
    aggregator._buckets_total_weight = 10
    aggregator._flushable_buckets()
    assert aggregator._buckets_total_weight == 0

def test_state_after_flush():
    """Verify the state of buckets and total weight after a flush."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - 20
    aggregator.buckets[timestamp] = {'metric1': MockMetric(5)}
    aggregator._buckets_total_weight = 5
    aggregator._flushable_buckets()
    assert aggregator.buckets == {}
    assert aggregator._buckets_total_weight == 0

def test_state_after_force_flush():
    """Verify the state of buckets and total weight after a force flush."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time()
    aggregator.buckets[timestamp] = {'metric1': MockMetric(5)}
    aggregator._buckets_total_weight = 5
    aggregator._force_flush = True
    aggregator._flushable_buckets()
    assert aggregator.buckets == {}
    assert aggregator._buckets_total_weight == 0

def test_different_flush_shifts():
    """Test with different values of flush shift."""
    aggregator = MetricsAggregator(capture_func=None)
    aggregator._flush_shift = 0  # No shift
    timestamp = time.time() - 20
    aggregator.buckets[timestamp] = {'metric1': MockMetric(1)}
    assert list(aggregator._flushable_buckets()) == [(timestamp, {'metric1': MockMetric(1)})]

    aggregator._flush_shift = aggregator.ROLLUP_IN_SECONDS  # Maximum shift
    timestamp = time.time() - 20
    aggregator.buckets[timestamp] = {'metric2': MockMetric(2)}
    assert list(aggregator._flushable_buckets()) == [(timestamp, {'metric2': MockMetric(2)})]

def test_exception_during_weight_calculation(monkeypatch):
    """Simulate an exception while calculating the weight of a metric."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - 20
    aggregator.buckets[timestamp] = {'metric1': MockMetric(5)}

    def mock_weight(self):
        raise ValueError("Simulated exception")

    monkeypatch.setattr(MockMetric, 'weight', property(mock_weight))

    with pytest.raises(ValueError, match="Simulated exception"):
        aggregator._flushable_buckets()

def test_empty_metrics_in_bucket():
    """Test a bucket with a valid timestamp but containing no metrics."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - 20
    aggregator.buckets[timestamp] = {}
    assert list(aggregator._flushable_buckets()) == [(timestamp, {})]
    assert aggregator.buckets == {}

def test_all_buckets_just_after_cutoff():
    """Test all buckets having timestamps just after the cutoff."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp1 = time.time() - aggregator.ROLLUP_IN_SECONDS + 1 - aggregator._flush_shift
    timestamp2 = time.time() - aggregator.ROLLUP_IN_SECONDS + 2 - aggregator._flush_shift
    aggregator.buckets[timestamp1] = {'metric1': MockMetric(1)}
    aggregator.buckets[timestamp2] = {'metric2': MockMetric(2)}
    assert list(aggregator._flushable_buckets()) == []
    assert timestamp1 in aggregator.buckets
    assert timestamp2 in aggregator.buckets

def test_simultaneous_flush_requests():
    """Test multiple threads calling _flushable_buckets at the same time."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - 20
    aggregator.buckets[timestamp] = {'metric1': MockMetric(1)}

    def flush():
        return list(aggregator._flushable_buckets())

    threads = [threading.Thread(target=flush) for _ in range(10)]
    for thread in threads:
        thread.start()
    for thread in threads:
        thread.join()

    assert aggregator.buckets == {}
    assert aggregator._buckets_total_weight == 0

def test_modification_during_flush():
    """Test buckets being added or modified while _flushable_buckets is executing."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - 20
    aggregator.buckets[timestamp] = {'metric1': MockMetric(1)}

    def modify_buckets():
        time.sleep(0.01)
        aggregator.buckets[time.time()] = {'metric2': MockMetric(2)}

    thread = threading.Thread(target=modify_buckets)
    thread.start()
    flushable_buckets = list(aggregator._flushable_buckets())
    thread.join()

    assert len(flushable_buckets) == 1
    assert 'metric2' in aggregator.buckets.values()

def test_negative_timestamps():
    """Test buckets with negative timestamps."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = -20
    aggregator.buckets[timestamp] = {'metric1': MockMetric(1)}
    assert list(aggregator._flushable_buckets()) == [(timestamp, {'metric1': MockMetric(1)})]
    assert aggregator.buckets == {}

def test_non_dict_buckets():
    """Test buckets that are not dictionaries."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - 20
    aggregator.buckets[timestamp] = ['not_a_dict']
    with pytest.raises(AttributeError):
        aggregator._flushable_buckets()

def test_non_metric_values():
    """Test buckets containing values that are not metrics."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - 20
    aggregator.buckets[timestamp] = {'not_a_metric': 123}
    with pytest.raises(AttributeError):
        aggregator._flushable_buckets()

def test_simultaneous_force_flush_and_regular_flush():
    """Test force flush triggered during a regular flush."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - 20
    aggregator.buckets[timestamp] = {'metric1': MockMetric(1)}

    def force_flush():
        time.sleep(0.01)
        aggregator._force_flush = True

    thread = threading.Thread(target=force_flush)
    thread.start()
    flushable_buckets = list(aggregator._flushable_buckets())
    thread.join()

    assert len(flushable_buckets) == 1
    assert aggregator.buckets == {}

def test_zero_weight_metrics():
    """Test buckets containing metrics with zero weight."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - 20
    aggregator.buckets[timestamp] = {'metric1': MockMetric(0)}
    aggregator._buckets_total_weight = 0
    flushable_buckets = list(aggregator._flushable_buckets())
    assert len(flushable_buckets) == 1
    assert aggregator.buckets == {}
    assert aggregator._buckets_total_weight == 0

def test_negative_weight_metrics():
    """Test buckets containing metrics with negative weights."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - 20
    aggregator.buckets[timestamp] = {'metric1': MockMetric(-5)}
    aggregator._buckets_total_weight = -5
    flushable_buckets = list(aggregator._flushable_buckets())
    assert len(flushable_buckets) == 1
    assert aggregator.buckets == {}
    assert aggregator._buckets_total_weight == 0

def test_lock_timeout(monkeypatch):
    """Test lock acquisition timeout."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - 20
    aggregator.buckets[timestamp] = {'metric1': MockMetric(1)}

    def mock_acquire(self, blocking=True, timeout=-1):
        return False

    monkeypatch.setattr(threading.Lock, 'acquire', mock_acquire)

    with pytest.raises(RuntimeError):
        aggregator._flushable_buckets()

def test_recursive_locking(monkeypatch):
    """Test the function attempts to acquire the lock recursively."""
    aggregator = MetricsAggregator(capture_func=None)
    timestamp = time.time() - 20
    aggregator.buckets[timestamp] = {'metric1': MockMetric(1)}

    original_acquire = threading.Lock.acquire

    def mock_acquire(self, blocking=True, timeout=-1):
        if hasattr(self, '_acquired'):
            raise RuntimeError("Recursive lock acquire detected")
        self._acquired = True
        return original_acquire(self, blocking, timeout)

    monkeypatch.setattr(threading.Lock, 'acquire', mock_acquire)

    with pytest.raises(RuntimeError, match="Recursive lock acquire detected"):
        aggregator._flushable_buckets()

🔘 (none found) − ⏪ Replay Tests

@codeflash-ai
⚡️ Speed up MetricsAggregator._flushable_buckets() by 19%
d3fd354 
Certainly! Here’s a more optimized version of your program.



### Optimization Summary.
1. **`_seen_locations` Initialization**: Changed from `_set()` to `set()` for cleaner and faster initialization.
2. **`_pending_locations` Initialization**: Used `defaultdict(list)` to avoid manually initializing lists in the dictionary.
3. **Removed Redundant List Conversion**: Directly converted dictionary items to a list when force flushing.
4. **Optimized `cutoff` Filtering**: Used list comprehensions to filter and remove timestamps, resulting in fewer iterations and better readability.
5. **Clear Dictionary Instead of Reinitializing**: Used `.clear()` instead of reinitializing the dictionary to reduce object creation overhead.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Jun 15, 2024
@codeflash-ai codeflash-ai bot requested a review from misrasaurabh1 June 15, 2024 09:38
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