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chore: import upstream snapshot with attribution
2026-07-13 12:39:38 +08:00

53 lines
1.6 KiB
Python

import cProfile
from pathlib import Path
from typing import Literal
from sensai.util import logging
from sensai.util.logging import LogTime
from sensai.util.profiling import profiled
from serena.agent import SerenaAgent
from serena.config.serena_config import SerenaConfig
from serena.tools import FindSymbolTool
log = logging.getLogger(__name__)
if __name__ == "__main__":
logging.configure()
# The profiler to use:
# Use pyinstrument for hierarchical profiling output
# Use cProfile to determine which functions take the most time overall (and use snakeviz to visualize)
profiler: Literal["pyinstrument", "cprofile"] = "cprofile"
project_path = Path(__file__).parent.parent # Serena root
serena_config = SerenaConfig.from_config_file()
serena_config.log_level = logging.INFO
serena_config.gui_log_window = False
serena_config.web_dashboard = False
agent = SerenaAgent(str(project_path), serena_config=serena_config)
# wait for language server to be ready
agent.execute_task(lambda: log.info("Language server is ready."))
def tool_call():
"""This is the function we want to profile."""
# NOTE: We use apply (not apply_ex) to run the tool call directly on the main thread
with LogTime("Tool call"):
result = agent.get_tool(FindSymbolTool).apply(name_path="DQN")
log.info("Tool result:\n%s", result)
if profiler == "pyinstrument":
@profiled(log_to_file=True)
def profiled_tool_call():
tool_call()
profiled_tool_call()
elif profiler == "cprofile":
cProfile.run("tool_call()", "tool_call.pstat")