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59acdba820
Implement a statistical sampling profiler that can profile external Python processes by PID. Uses the _remote_debugging module and converts the results to pstats-compatible format for analysis. Co-authored-by: Pablo Galindo <pablogsal@gmail.com>
37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
import collections
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import os
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from .collector import Collector
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class StackTraceCollector(Collector):
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def __init__(self):
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self.call_trees = []
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self.function_samples = collections.defaultdict(int)
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def collect(self, stack_frames):
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for thread_id, frames in stack_frames:
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if frames:
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# Store the complete call stack (reverse order - root first)
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call_tree = list(reversed(frames))
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self.call_trees.append(call_tree)
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# Count samples per function
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for frame in frames:
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self.function_samples[frame] += 1
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class CollapsedStackCollector(StackTraceCollector):
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def export(self, filename):
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stack_counter = collections.Counter()
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for call_tree in self.call_trees:
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# Call tree is already in root->leaf order
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stack_str = ";".join(
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f"{os.path.basename(f[0])}:{f[2]}:{f[1]}" for f in call_tree
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)
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stack_counter[stack_str] += 1
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with open(filename, "w") as f:
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for stack, count in stack_counter.items():
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f.write(f"{stack} {count}\n")
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print(f"Collapsed stack output written to {filename}")
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