fix(effort): reflow effort-audit.py to 80 columns (R12)
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+21
-11
@@ -8,7 +8,8 @@ import json
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import os
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import sys
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WEIGHTS = {"in": 1.0, "cc": 1.25, "cr": 0.1, "out": 5.0} # relative to input price
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# Weights relative to input price.
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WEIGHTS = {"in": 1.0, "cc": 1.25, "cr": 0.1, "out": 5.0}
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FIELDS = ("in", "cc", "cr", "out", "think")
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@@ -50,36 +51,45 @@ def weighted(counter):
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def report(agg):
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"""Print the per-key table, then the main/sub split and the thinking share."""
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"""Print the per-key table, then the main/sub split and the thinking
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share."""
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total = collections.Counter()
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for counter in agg.values():
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total.update(counter)
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total_w = weighted(total) or 1
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print(f"{'scope':5} {'model':22} {'effort':7} {'msgs':>6} {'think/msg':>9} "
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f"{'think_tok':>10} {'out_tok':>10} {'cache_read':>12} {'%wcost':>7}")
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for (scope, model, effort), c in sorted(agg.items(), key=lambda kv: -weighted(kv[1])):
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ranked = sorted(agg.items(), key=lambda kv: -weighted(kv[1]))
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for (scope, model, effort), c in ranked:
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per_msg = c["think"] / max(c["msgs"], 1)
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print(f"{scope:5} {model:22} {effort:7} {c['msgs']:6d} {per_msg:9.0f} "
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f"{c['think']:10d} {c['out']:10d} {c['cr']:12d} {100 * weighted(c) / total_w:6.1f}%")
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print(f"{scope:5} {model:22} {effort:7} {c['msgs']:6d} "
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f"{per_msg:9.0f} {c['think']:10d} {c['out']:10d} "
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f"{c['cr']:12d} {100 * weighted(c) / total_w:6.1f}%")
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by_scope = collections.defaultdict(collections.Counter)
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for (scope, _, _), c in agg.items():
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by_scope[scope].update(c)
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for scope, c in by_scope.items():
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print(f" {scope:5} weighted-cost {100 * weighted(c) / total_w:5.1f}% "
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f"thinking {100 * c['think'] / max(total['think'], 1):5.1f}% requests {c['msgs']}")
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print(f" thinking = {100 * total['think'] * WEIGHTS['out'] / total_w:.1f}% of weighted cost; "
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f"cache reads = {100 * total['cr'] * WEIGHTS['cr'] / total_w:.1f}%")
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print(f" {scope:5} weighted-cost "
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f"{100 * weighted(c) / total_w:5.1f}% thinking "
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f"{100 * c['think'] / max(total['think'], 1):5.1f}% "
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f"requests {c['msgs']}")
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print(f" thinking = "
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f"{100 * total['think'] * WEIGHTS['out'] / total_w:.1f}% "
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f"of weighted cost; cache reads = "
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f"{100 * total['cr'] * WEIGHTS['cr'] / total_w:.1f}%")
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def main():
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root = os.path.expanduser(sys.argv[1] if len(sys.argv) > 1 else "~/.claude/projects")
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root = os.path.expanduser(
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sys.argv[1] if len(sys.argv) > 1 else "~/.claude/projects")
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agg = collections.defaultdict(collections.Counter)
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for project in sorted(glob.glob(os.path.join(root, "*"))):
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if not os.path.isdir(project):
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continue
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for path in glob.glob(os.path.join(project, "*.jsonl")):
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scan(path, "main", agg)
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for path in glob.glob(os.path.join(project, "*", "subagents", "*.jsonl")):
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sub_glob = os.path.join(project, "*", "subagents", "*.jsonl")
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for path in glob.glob(sub_glob):
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scan(path, "sub", agg)
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report(agg)
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