clan_vm_manager: Cache profiler obj for multi call functions
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@ -37,3 +37,9 @@ gsettings set org.gtk.Settings.Debug enable-inspector-keybinding true
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# Start the application with the debugger attached
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GTK_DEBUG=interactive ./bin/clan-vm-manager --debug
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```
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## Profiling
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To activate profiling execute:
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```
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PERF=1 ./bin/clan-vm-manager
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```
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@ -2,12 +2,10 @@ import logging
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import sys
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from clan_vm_manager.app import MainApplication
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from clan_vm_manager.components.profiler import profile
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log = logging.getLogger(__name__)
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@profile
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def main() -> int:
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app = MainApplication()
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return app.run(sys.argv)
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@ -1,5 +1,4 @@
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import logging
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from collections import OrderedDict
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from collections.abc import Callable
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from typing import Any, Generic, TypeVar
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@ -29,7 +28,8 @@ class GKVStore(GObject.GObject, Gio.ListModel, Generic[K, V]):
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super().__init__()
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self.gtype = gtype
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self.key_gen = key_gen
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self._items: "OrderedDict[K, V]" = OrderedDict()
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# From Python 3.7 onwards dictionaries are ordered by default
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self._items: "dict[K, V]" = dict()
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##################################
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# #
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@ -175,7 +175,6 @@ class GKVStore(GObject.GObject, Gio.ListModel, Generic[K, V]):
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else:
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# Add the new key-value pair
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self._items[key] = value
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self._items.move_to_end(key)
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position = max(len(self._items) - 1, 0)
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self.items_changed(position, 0, 1)
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@ -4,11 +4,80 @@ import logging
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import os
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import pstats
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import re
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import weakref
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from collections.abc import Callable
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from typing import Any
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# Ensure you have a logger set up for logging exceptions
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log = logging.getLogger(__name__)
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explanation = """
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cProfile Output Columns Explanation:
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- ncalls: The number of calls to the function. This includes both direct and indirect (recursive) calls.
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- tottime: The total time spent in the given function alone, excluding time spent in calls to sub-functions.
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This measures the function's own overhead and execution time.
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- percall (first instance): Represents the average time spent in the function per call, calculated as tottime divided by ncalls.
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This value excludes time spent in sub-function calls, focusing on the function's own processing time.
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- cumtime: The cumulative time spent in this function and all the sub-functions it calls (both directly and indirectly).
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This includes all execution time within the function, from the start of its invocation to its return,
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including all calls to other functions and the time those calls take.
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- percall (second instance): Represents the average time per call, including time spent in this function and in all sub-function calls.
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It is calculated as cumtime divided by ncalls, providing an average over all calls that includes all nested function calls.
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"""
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def print_profile(profiler: cProfile.Profile) -> None:
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s = io.StringIO()
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ps = pstats.Stats(profiler, stream=s)
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ps.sort_stats(pstats.SortKey.CUMULATIVE)
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ps.print_stats(12)
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# Process the output to trim file paths
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output_lines = s.getvalue().split("\n")
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for line in output_lines:
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try:
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parts = re.split(r"\s+", line)[
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1:
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] # Split on the first space to separate the time from the path
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fqpath = parts[-1]
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fpath, line_num = fqpath.split(":")
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if os.path.sep in fpath: # Check if this looks like it includes a path
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fpath = trim_path_to_three_levels(fpath)
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prefix = f"{parts[0]:>7}"
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prefix += f"{parts[1]:>9}"
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prefix += f"{parts[2]:>9}"
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prefix += f"{parts[3]:>9}"
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prefix += f"{parts[4]:>9}"
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new_line = f"{prefix:} {fpath}:{line_num}"
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else:
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new_line = line
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except (ValueError, IndexError):
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new_line = line # If there's no path, leave the line as is
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print(new_line)
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class ProfilerStore:
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profilers: dict[str, cProfile.Profile]
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def __init__(self) -> None:
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self.profilers = {}
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self._exit_callback = weakref.finalize(self, self.on_exit)
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def __getitem__(self, func: Callable) -> cProfile.Profile:
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key = f"{func.__module__}:{func.__name__}"
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if key not in self.profilers:
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self.profilers[key] = cProfile.Profile()
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return self.profilers[key]
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def on_exit(self) -> None:
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for key, profiler in self.profilers.items():
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print("=" * 7 + key + "=" * 7)
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print_profile(profiler)
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print(explanation)
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def trim_path_to_three_levels(path: str) -> str:
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@ -19,6 +88,9 @@ def trim_path_to_three_levels(path: str) -> str:
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return path
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PROFS = ProfilerStore()
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def profile(func: Callable) -> Callable:
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"""
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A decorator that profiles the decorated function, printing out the profiling
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@ -26,44 +98,20 @@ def profile(func: Callable) -> Callable:
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"""
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def wrapper(*args: Any, **kwargs: Any) -> Any:
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pr = cProfile.Profile()
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res: Any = None
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global PROFS
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profiler = PROFS[func]
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try:
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pr.enable()
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profiler.enable()
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res = func(*args, **kwargs)
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pr.disable()
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profiler.disable()
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except Exception as ex:
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log.exception(ex)
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pr.disable()
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profiler.disable()
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return None
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s = io.StringIO()
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ps = pstats.Stats(pr, stream=s)
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ps.sort_stats(pstats.SortKey.CUMULATIVE)
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ps.print_stats(12)
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# Process the output to trim file paths
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output_lines = s.getvalue().split("\n")
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for line in output_lines:
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try:
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parts = re.split(r"\s+", line)[
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1:
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] # Split on the first space to separate the time from the path
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fqpath = parts[-1]
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fpath, line_num = fqpath.split(":")
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if os.path.sep in fpath: # Check if this looks like it includes a path
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fpath = trim_path_to_three_levels(fpath)
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prefix = f"{parts[0]:>7}"
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prefix += f"{parts[1]:>9}"
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prefix += f"{parts[2]:>9}"
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prefix += f"{parts[3]:>9}"
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prefix += f"{parts[4]:>9}"
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new_line = f"{prefix:} {fpath}:{line_num}"
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else:
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new_line = line
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except (ValueError, IndexError):
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new_line = line # If there's no path, leave the line as is
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print(new_line)
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return res
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return wrapper
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if os.getenv("PERF", "0") == "1":
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return wrapper
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else:
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return func
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@ -7,6 +7,7 @@ from clan_cli.history.add import HistoryEntry
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from clan_vm_manager import assets
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from clan_vm_manager.components.gkvstore import GKVStore
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from clan_vm_manager.components.profiler import profile
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from clan_vm_manager.components.vmobj import VMObject
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gi.require_version("GObject", "2.0")
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@ -47,6 +48,7 @@ class ClanStore:
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self.push_history_entry(vm)
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return GLib.SOURCE_REMOVE
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@profile
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def push_history_entry(self, entry: HistoryEntry) -> None:
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# TODO: We shouldn't do this here but in the list view
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if entry.flake.icon is None:
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