Files
aituner/scripts/collectivespec/create_controlled_greedy_window.py

237 lines
9.3 KiB
Python

#!/usr/bin/env python3
"""Materialize a fixed-load, greedy subset of an immutable replay window.
The output preserves prompt/arrival/sampling provenance while setting every
selected request's temperature to zero. It is intentionally a controlled
mechanism workload, not a replacement for a production sampling trace.
"""
from __future__ import annotations
import argparse
import hashlib
import json
import math
from pathlib import Path
from typing import Any
def sha256(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as handle:
for chunk in iter(lambda: handle.read(1024 * 1024), b""):
digest.update(chunk)
return digest.hexdigest()
def resolve_trace_path(windows_path: Path, trace_file: str) -> Path:
candidate = Path(trace_file)
if candidate.is_absolute():
return candidate
direct = (windows_path.parent / candidate).resolve()
if direct.exists():
return direct
if candidate.parts and candidate.parts[0] == "trace_windows":
return (windows_path.parent / Path(*candidate.parts[1:])).resolve()
return direct
def numeric(value: Any, *, field: str, row_index: int) -> float:
if isinstance(value, bool) or not isinstance(value, (int, float)):
raise SystemExit(f"row {row_index}: {field} must be numeric")
value = float(value)
if not math.isfinite(value):
raise SystemExit(f"row {row_index}: {field} must be finite")
return value
def stable_session_key(value: Any) -> str:
"""Render a session identifier without conflating JSON types."""
return json.dumps(value, ensure_ascii=False, sort_keys=True, separators=(",", ":"))
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--windows-path", type=Path, required=True)
parser.add_argument("--window-id", required=True)
parser.add_argument("--sampling-u-threshold", type=float, required=True)
parser.add_argument("--output-dir", type=Path, required=True)
parser.add_argument("--output-window-id", required=True)
args = parser.parse_args()
if not args.windows_path.is_file():
raise SystemExit(f"windows file does not exist: {args.windows_path}")
threshold = float(args.sampling_u_threshold)
if not math.isfinite(threshold) or not 0.0 <= threshold <= 1.0:
raise SystemExit("--sampling-u-threshold must be finite and in [0, 1]")
source_windows = json.loads(args.windows_path.read_text(encoding="utf-8"))
windows = source_windows.get("windows") if isinstance(source_windows, dict) else source_windows
if not isinstance(windows, list):
raise SystemExit("windows payload must contain a list")
source_window = next(
(
item
for item in windows
if isinstance(item, dict) and item.get("window_id") == args.window_id
),
None,
)
if source_window is None:
raise SystemExit(f"window id not found: {args.window_id}")
trace_file = source_window.get("trace_file")
if not isinstance(trace_file, str) or not trace_file:
raise SystemExit(f"window {args.window_id} has no trace_file")
source_trace = resolve_trace_path(args.windows_path, trace_file)
if not source_trace.is_file():
raise SystemExit(f"source trace does not exist: {source_trace}")
source_sampling_strategy = source_window.get("sampling_strategy")
session_coherent_source = source_sampling_strategy == "session_coherent_uniform_score"
args.output_dir.mkdir(parents=True, exist_ok=True)
output_trace = args.output_dir / f"{args.output_window_id}.jsonl"
selected = 0
sampling_values: list[float] = []
timestamps: list[float] = []
session_counts: dict[str, dict[str, int]] = {}
with source_trace.open("r", encoding="utf-8") as src, output_trace.open(
"w", encoding="utf-8"
) as dest:
for row_index, line in enumerate(src):
if not line.strip():
continue
row = json.loads(line)
if not isinstance(row, dict):
raise SystemExit(f"row {row_index}: expected an object")
sampling_u = numeric(row.get("sampling_u"), field="sampling_u", row_index=row_index)
session_entry: dict[str, int] | None = None
if session_coherent_source:
if "session_root" not in row:
raise SystemExit(
f"row {row_index}: session-coherent source has no session_root"
)
session_key = stable_session_key(row["session_root"])
session_entry = session_counts.setdefault(
session_key, {"total_turns": 0, "selected_turns": 0}
)
session_entry["total_turns"] += 1
if sampling_u > threshold:
continue
timestamp = numeric(row.get("timestamp"), field="timestamp", row_index=row_index)
row["temperature"] = 0.0
dest.write(json.dumps(row, ensure_ascii=False, separators=(",", ":")) + "\n")
selected += 1
sampling_values.append(sampling_u)
timestamps.append(timestamp)
if session_entry is not None:
session_entry["selected_turns"] += 1
if selected == 0:
output_trace.unlink(missing_ok=True)
raise SystemExit("threshold selected zero requests")
split_sessions = [
entry
for entry in session_counts.values()
if 0 < entry["selected_turns"] < entry["total_turns"]
]
if split_sessions:
output_trace.unlink(missing_ok=True)
raise SystemExit(
"session-coherent source produced a partial selected session; "
f"split_session_count={len(split_sessions)}"
)
selected_session_turn_counts = [
entry["selected_turns"]
for entry in session_counts.values()
if entry["selected_turns"] > 0
]
output_window = dict(source_window)
output_window.update(
{
"window_id": args.output_window_id,
"trace_file": str(output_trace.resolve()),
"num_requests": selected,
"sampling_strategy": (
"session_coherent_uniform_score_then_greedy_temperature"
if session_coherent_source
else "fixed_uniform_score_then_greedy_temperature"
),
"collectivespec_source_window_id": args.window_id,
"collectivespec_sampling_u_threshold": threshold,
"collectivespec_temperature_override": 0.0,
"collectivespec_source_trace_path": str(source_trace),
"collectivespec_source_trace_sha256": sha256(source_trace),
"collectivespec_source_sampling_strategy": source_sampling_strategy,
"collectivespec_session_closed_within_window": session_coherent_source,
}
)
output_windows = {
"kind": "collectivespec_controlled_greedy_window",
"source_windows_path": str(args.windows_path.resolve()),
"source_window_id": args.window_id,
"sampling_u_threshold": threshold,
"temperature_override": 0.0,
"windows": [output_window],
}
output_manifest = args.output_dir / "windows.json"
output_manifest.write_text(
json.dumps(output_windows, ensure_ascii=False, indent=2, sort_keys=True) + "\n",
encoding="utf-8",
)
sanity = {
"n": selected,
"sampling_u": {
"min": min(sampling_values),
"max": max(sampling_values),
"distinct_value_count": len(set(sampling_values)),
"all_at_or_below_threshold": all(value <= threshold for value in sampling_values),
},
"timestamp": {
"min": min(timestamps),
"max": max(timestamps),
"non_negative": all(value >= 0 for value in timestamps),
"nondecreasing": all(
timestamps[index] >= timestamps[index - 1]
for index in range(1, len(timestamps))
),
},
"temperature": {"distinct_value_count": 1, "all_zero": True},
"session": {
"source_is_session_coherent": session_coherent_source,
"session_root_count": len(session_counts) if session_coherent_source else None,
"selected_session_count": (
len(selected_session_turn_counts) if session_coherent_source else None
),
"split_session_count": len(split_sessions) if session_coherent_source else None,
"all_selected_or_dropped": not split_sessions if session_coherent_source else None,
"selected_turns": {
"min": min(selected_session_turn_counts)
if selected_session_turn_counts
else None,
"max": max(selected_session_turn_counts)
if selected_session_turn_counts
else None,
"distinct_value_count": len(set(selected_session_turn_counts)),
},
},
"source_trace_sha256": sha256(source_trace),
"output_trace_sha256": sha256(output_trace),
}
print(
json.dumps(
{
"windows_path": str(output_manifest),
"trace_path": str(output_trace),
"data_sanity": sanity,
},
ensure_ascii=False,
indent=2,
sort_keys=True,
)
)
return 0
if __name__ == "__main__":
raise SystemExit(main())