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@codeflash-ai codeflash-ai bot commented Sep 17, 2025

⚡️ This pull request contains optimizations for PR #718

If you approve this dependent PR, these changes will be merged into the original PR branch lsp/verbose-quiet-logs.

This PR will be automatically closed if the original PR is merged.


📄 150% (1.50x) speedup for LspMarkdownMessage.serialize in codeflash/lsp/lsp_message.py

⏱️ Runtime : 6.42 milliseconds 2.56 milliseconds (best of 68 runs)

📝 Explanation and details

The key optimization is in LspMarkdownMessage.serialize() where conditional preprocessing was added to avoid expensive regex operations when they're not needed:

What was optimized:

  • Added if "worktrees/" in self.markdown and "/" in self.markdown: before calling simplify_worktree_paths()
  • Added if '"' in self.markdown or "'" in self.markdown: before calling replace_quotes_with_backticks()

Why this leads to speedup:
The original code always executed both regex-heavy functions regardless of content. The optimized version uses fast string containment checks (in operator) to skip expensive regex operations when the target patterns don't exist. From the profiler data:

  • simplify_worktree_paths went from 41 calls to only 6 calls (85% reduction)
  • replace_quotes_with_backticks went from 35 calls to only 10 calls (71% reduction)

Performance characteristics:

  • Best case: Messages without worktree paths or quotes see 25-35% speedup (most test cases)
  • Neutral case: Messages with quotes/paths have similar performance with slight overhead from the checks
  • Large scale: The optimization scales well - the test_large_scale_path_conversion shows a dramatic 9264% improvement, indicating the conditional checks prevent unnecessary processing of large strings

The minor change in simplify_worktree_paths (storing found_path variable and using rpartition) provides a small additional optimization by avoiding redundant regex group calls, but the conditional execution is the primary performance driver.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 81 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 2 Passed
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
from __future__ import annotations

import json
import re
from dataclasses import asdict, dataclass
from pathlib import Path
from typing import Any

# imports
import pytest  # used for our unit tests
from codeflash.lsp.lsp_message import LspMarkdownMessage

# unit tests

# Basic Test Cases

def test_basic_markdown_serialization():
    # Test that a simple markdown string is serialized correctly
    msg = LspMarkdownMessage(markdown="Hello world")
    codeflash_output = msg.serialize(); serialized = codeflash_output # 22.0μs -> 16.8μs (31.0% faster)
    # Should include type and markdown fields
    data = json.loads(serialized[:-1])

def test_basic_quotes_replacement():
    # Test that quotes are replaced with backticks
    msg = LspMarkdownMessage(markdown='This is "quoted" and \'single quoted\'')
    codeflash_output = msg.serialize(); serialized = codeflash_output # 27.4μs -> 27.7μs (0.867% slower)
    data = json.loads(serialized[:-1])

def test_basic_worktree_path_simplification():
    # Test that worktree paths are simplified and highlighted
    msg = LspMarkdownMessage(markdown="Error in /home/user/.git/worktrees/feature_branch")
    codeflash_output = msg.serialize(); serialized = codeflash_output # 24.0μs -> 20.6μs (16.2% faster)
    data = json.loads(serialized[:-1])

def test_basic_takes_time_flag():
    # Test that takes_time is serialized correctly
    msg = LspMarkdownMessage(markdown="Test", takes_time=True)
    codeflash_output = msg.serialize(); serialized = codeflash_output # 20.5μs -> 15.6μs (31.4% faster)
    data = json.loads(serialized[:-1])

def test_basic_empty_markdown():
    # Test that empty markdown is serialized correctly
    msg = LspMarkdownMessage(markdown="")
    codeflash_output = msg.serialize(); serialized = codeflash_output # 19.8μs -> 15.5μs (28.0% faster)
    data = json.loads(serialized[:-1])

# Edge Test Cases

def test_edge_none_markdown():
    # Test that None markdown is handled (dataclass default is "")
    msg = LspMarkdownMessage()
    codeflash_output = msg.serialize(); serialized = codeflash_output # 19.6μs -> 15.5μs (26.8% faster)
    data = json.loads(serialized[:-1])

def test_edge_path_object_in_markdown():
    # Test that a Path object in markdown is converted to posix string
    path = Path("/tmp/test.md")
    msg = LspMarkdownMessage(markdown=str(path))
    codeflash_output = msg.serialize(); serialized = codeflash_output # 21.1μs -> 15.4μs (36.9% faster)
    data = json.loads(serialized[:-1])

def test_edge_nested_quotes():
    # Test that nested quotes are replaced correctly
    msg = LspMarkdownMessage(markdown='Outer "inner \'deep\'"')
    codeflash_output = msg.serialize(); serialized = codeflash_output # 25.1μs -> 26.0μs (3.58% slower)
    data = json.loads(serialized[:-1])

def test_edge_multiple_worktree_paths():
    # Only the first worktree path should be replaced
    msg = LspMarkdownMessage(markdown="Path1: /a/worktrees/one Path2: /b/worktrees/two")
    codeflash_output = msg.serialize(); serialized = codeflash_output # 23.3μs -> 19.7μs (18.4% faster)
    data = json.loads(serialized[:-1])

def test_edge_non_string_markdown():
    # Test that non-string markdown is converted to string
    msg = LspMarkdownMessage(markdown=12345)
    codeflash_output = msg.serialize(); serialized = codeflash_output
    data = json.loads(serialized[:-1])

def test_edge_boolean_markdown():
    # Test boolean markdown
    msg = LspMarkdownMessage(markdown=True)
    codeflash_output = msg.serialize(); serialized = codeflash_output
    data = json.loads(serialized[:-1])

def test_edge_special_characters():
    # Test markdown with special unicode characters
    special_text = "Emoji: 😊, Control: \u241f"
    msg = LspMarkdownMessage(markdown=special_text)
    codeflash_output = msg.serialize(); serialized = codeflash_output # 25.3μs -> 19.9μs (27.0% faster)
    data = json.loads(serialized[:-1])

def test_edge_markdown_with_none():
    # Test that None as markdown is converted to "None"
    msg = LspMarkdownMessage(markdown=None)
    codeflash_output = msg.serialize(); serialized = codeflash_output
    data = json.loads(serialized[:-1])

def test_edge_markdown_with_list():
    # Test markdown as a list (should be converted to string)
    msg = LspMarkdownMessage(markdown=["a", "b"])
    codeflash_output = msg.serialize(); serialized = codeflash_output
    data = json.loads(serialized[:-1])

def test_edge_markdown_with_dict():
    # Test markdown as a dict (should be converted to string)
    msg = LspMarkdownMessage(markdown={"a": 1})
    codeflash_output = msg.serialize(); serialized = codeflash_output
    data = json.loads(serialized[:-1])

def test_edge_markdown_with_backticks():
    # Test that backticks are not replaced
    msg = LspMarkdownMessage(markdown="Already `backtick` here")
    codeflash_output = msg.serialize(); serialized = codeflash_output # 24.8μs -> 16.6μs (49.3% faster)
    data = json.loads(serialized[:-1])

def test_edge_markdown_with_quotes_and_worktree():
    # Test both quotes and worktree path in one message
    msg = LspMarkdownMessage(markdown='Error in "/a/worktrees/branch"')
    codeflash_output = msg.serialize(); serialized = codeflash_output # 28.5μs -> 28.7μs (0.836% slower)
    data = json.loads(serialized[:-1])

def test_edge_markdown_with_only_delimiter():
    # Test message containing only delimiter
    msg = LspMarkdownMessage(markdown="\u241f")
    codeflash_output = msg.serialize(); serialized = codeflash_output # 21.0μs -> 16.0μs (31.0% faster)
    data = json.loads(serialized[:-1])

def test_edge_markdown_with_escape_characters():
    # Test markdown with escape characters
    msg = LspMarkdownMessage(markdown="Line1\nLine2\tTabbed")
    codeflash_output = msg.serialize(); serialized = codeflash_output # 20.9μs -> 15.9μs (31.1% faster)
    data = json.loads(serialized[:-1])

# Large Scale Test Cases

def test_large_scale_long_markdown():
    # Test with a very long markdown string
    long_text = "A" * 1000
    msg = LspMarkdownMessage(markdown=long_text)
    codeflash_output = msg.serialize(); serialized = codeflash_output # 24.7μs -> 18.9μs (30.5% faster)
    data = json.loads(serialized[:-1])

def test_large_scale_many_quotes():
    # Test with many quotes to ensure all are replaced
    text = '"a" ' * 500 + "'b' " * 500
    msg = LspMarkdownMessage(markdown=text)
    codeflash_output = msg.serialize(); serialized = codeflash_output # 682μs -> 670μs (1.73% faster)
    data = json.loads(serialized[:-1])

def test_large_scale_many_worktree_paths():
    # Test with many worktree paths (only first replaced)
    text = " ".join([f"/home/u/.git/worktrees/branch{i}" for i in range(10)])
    msg = LspMarkdownMessage(markdown=text)
    codeflash_output = msg.serialize(); serialized = codeflash_output # 26.2μs -> 22.1μs (18.2% faster)
    data = json.loads(serialized[:-1])
    for i in range(1, 10):
        pass

def test_large_scale_serialization_performance():
    # Test serialization of a large message for performance (under 1000 elements)
    text = " ".join([f'"item{i}"' for i in range(999)])
    msg = LspMarkdownMessage(markdown=text)
    codeflash_output = msg.serialize(); serialized = codeflash_output # 778μs -> 774μs (0.460% faster)
    data = json.loads(serialized[:-1])

def test_large_scale_path_conversion():
    # Test a markdown with many Path objects as strings
    text = " ".join([str(Path(f"/tmp/file{i}.md")) for i in range(500)])
    msg = LspMarkdownMessage(markdown=text)
    codeflash_output = msg.serialize(); serialized = codeflash_output # 3.81ms -> 40.7μs (9264% faster)
    data = json.loads(serialized[:-1])
    # All paths should be present as posix strings
    for i in range(500):
        pass

def test_large_scale_mixed_types():
    # Test with markdown containing mixed types concatenated
    mixed = " ".join([str(i) if i % 2 == 0 else f'"str{i}"' for i in range(1000)])
    msg = LspMarkdownMessage(markdown=mixed)
    codeflash_output = msg.serialize(); serialized = codeflash_output # 401μs -> 402μs (0.341% slower)
    data = json.loads(serialized[:-1])
    for i in range(0, 1000, 2):
        pass
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
#------------------------------------------------
from __future__ import annotations

import json
import re
from dataclasses import asdict, dataclass
from pathlib import Path
from typing import Any

# imports
import pytest  # used for our unit tests
from codeflash.lsp.lsp_message import LspMarkdownMessage

# unit tests

# --- Basic Test Cases ---

def test_serialize_basic_markdown():
    """Test basic serialization of markdown message."""
    msg = LspMarkdownMessage(markdown="Hello world!")
    codeflash_output = msg.serialize(); result = codeflash_output # 22.6μs -> 17.5μs (28.7% faster)

def test_serialize_double_quotes():
    """Test that double quotes are replaced with backticks."""
    msg = LspMarkdownMessage(markdown='This is a "test" message.')
    codeflash_output = msg.serialize(); result = codeflash_output # 24.8μs -> 25.5μs (2.44% slower)

def test_serialize_single_quotes():
    """Test that single quotes are replaced with backticks."""
    msg = LspMarkdownMessage(markdown="It's a 'test' message.")
    codeflash_output = msg.serialize(); result = codeflash_output # 24.0μs -> 24.7μs (2.72% slower)

def test_serialize_no_quotes():
    """Test that text without quotes is unchanged except for path simplification."""
    msg = LspMarkdownMessage(markdown="No quotes here.")
    codeflash_output = msg.serialize(); result = codeflash_output # 20.0μs -> 15.8μs (26.2% faster)

def test_serialize_takes_time_flag():
    """Test takes_time field is serialized correctly."""
    msg = LspMarkdownMessage(markdown="Loading...", takes_time=True)
    codeflash_output = msg.serialize(); result = codeflash_output # 20.3μs -> 15.7μs (29.4% faster)





def test_serialize_empty_markdown():
    """Test serialization with empty markdown."""
    msg = LspMarkdownMessage(markdown="")
    codeflash_output = msg.serialize(); result = codeflash_output # 24.5μs -> 19.2μs (27.4% faster)

def test_serialize_only_quotes():
    """Test serialization when markdown is only quotes."""
    msg = LspMarkdownMessage(markdown='"')
    codeflash_output = msg.serialize(); result = codeflash_output # 21.6μs -> 22.3μs (3.24% slower)

def test_serialize_nested_quotes():
    """Test serialization with nested quotes."""
    msg = LspMarkdownMessage(markdown='He said "it\'s a \'test\'".')
    codeflash_output = msg.serialize(); result = codeflash_output # 26.9μs -> 27.2μs (1.10% slower)

def test_serialize_worktree_path_highlight():
    """Test that worktree paths are simplified and highlighted."""
    path = "/home/user/worktrees/abc123"
    msg = LspMarkdownMessage(markdown=f"Path: {path}")
    codeflash_output = msg.serialize(); result = codeflash_output # 24.0μs -> 20.4μs (17.5% faster)


def test_serialize_multiple_worktree_paths():
    """Test that only the first worktree path is simplified."""
    msg = LspMarkdownMessage(markdown="First: /a/worktrees/one Second: /b/worktrees/two")
    codeflash_output = msg.serialize(); result = codeflash_output # 27.8μs -> 23.7μs (17.6% faster)

def test_serialize_non_string_markdown():
    """Test that non-string markdown is converted to string."""
    msg = LspMarkdownMessage(markdown=12345)
    codeflash_output = msg.serialize(); result = codeflash_output







def test_serialize_large_markdown():
    """Test serialization of large markdown string."""
    text = "word " * 1000
    msg = LspMarkdownMessage(markdown=text)
    codeflash_output = msg.serialize(); result = codeflash_output # 42.4μs -> 35.1μs (20.9% faster)


def test_serialize_type_is_first_key():
    """Test that 'type' is always the first key in serialized output."""
    msg = LspMarkdownMessage(markdown="Test")
    codeflash_output = msg.serialize(); result = codeflash_output # 24.7μs -> 18.9μs (30.6% faster)

def test_serialize_deterministic_output():
    """Test that serialization of same object yields same output."""
    msg1 = LspMarkdownMessage(markdown="Same")
    msg2 = LspMarkdownMessage(markdown="Same")
    codeflash_output = msg1.serialize() # 21.8μs -> 16.8μs (30.3% faster)

def test_serialize_different_objects_different_output():
    """Test that serialization of different objects yields different output."""
    msg1 = LspMarkdownMessage(markdown="One")
    msg2 = LspMarkdownMessage(markdown="Two")
    codeflash_output = msg1.serialize() # 21.0μs -> 15.9μs (31.7% faster)

# --- Error Handling ---


#------------------------------------------------
from codeflash.lsp.lsp_message import LspMarkdownMessage

def test_LspMarkdownMessage_serialize():
    LspMarkdownMessage.serialize(LspMarkdownMessage(takes_time=False, markdown=''))
🔎 Concolic Coverage Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
codeflash_concolic_8ffzzjni/tmp_akserph/test_concolic_coverage.py::test_LspMarkdownMessage_serialize 24.3μs 18.9μs 28.9%✅

To edit these changes git checkout codeflash/optimize-pr718-2025-09-17T17.31.53 and push.

Codeflash

The key optimization is in `LspMarkdownMessage.serialize()` where **conditional preprocessing** was added to avoid expensive regex operations when they're not needed:

**What was optimized:**
- Added `if "worktrees/" in self.markdown and "/" in self.markdown:` before calling `simplify_worktree_paths()` 
- Added `if '"' in self.markdown or "'" in self.markdown:` before calling `replace_quotes_with_backticks()`

**Why this leads to speedup:**
The original code always executed both regex-heavy functions regardless of content. The optimized version uses fast string containment checks (`in` operator) to skip expensive regex operations when the target patterns don't exist. From the profiler data:
- `simplify_worktree_paths` went from 41 calls to only 6 calls (85% reduction)
- `replace_quotes_with_backticks` went from 35 calls to only 10 calls (71% reduction)

**Performance characteristics:**
- **Best case**: Messages without worktree paths or quotes see 25-35% speedup (most test cases)
- **Neutral case**: Messages with quotes/paths have similar performance with slight overhead from the checks
- **Large scale**: The optimization scales well - the `test_large_scale_path_conversion` shows a dramatic 9264% improvement, indicating the conditional checks prevent unnecessary processing of large strings

The minor change in `simplify_worktree_paths` (storing `found_path` variable and using `rpartition`) provides a small additional optimization by avoiding redundant regex group calls, but the conditional execution is the primary performance driver.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Sep 17, 2025
@codeflash-ai codeflash-ai bot closed this Sep 18, 2025
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codeflash-ai bot commented Sep 18, 2025

This PR has been automatically closed because the original PR #718 by mohammedahmed18 was closed.

@codeflash-ai codeflash-ai bot deleted the codeflash/optimize-pr718-2025-09-17T17.31.53 branch September 18, 2025 18:48
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