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feat: #164 Stage B CLOSURE — turn-loop JSON + cancel_observed coverage + CLAWABLE promotion
Closes all three gaebal-gajae-identified closure criteria for #164 Stage B: 1. turn-loop runtime surface exposes cancel_observed consistently 2. cancellation path tests validate safe-to-reuse semantics 3. turn-loop promoted from OPT_OUT to CLAWABLE surface Changes: src/main.py: - turn-loop accepts --output-format {text,json} - JSON envelope includes per-turn cancel_observed + final_cancel_observed - All turn fields exposed: prompt, output, stop_reason, cancel_observed, matched_commands, matched_tools - Exit code 2 on final timeout preserved tests/test_cli_parity_audit.py: - CLAWABLE_SURFACES now contains 14 commands (was 13) - Removed 'turn-loop' from OPT_OUT_SURFACES - Parametrized --output-format test auto-validates turn-loop JSON tests/test_cancel_observed_field.py (new, 9 tests): - TestCancelObservedField (5 tests): field contract - default False - explicit True preserved - normal completion → False - bootstrap JSON exposes field - turn-loop JSON exposes per-turn field - TestCancelObservedSafeReuseSemantics (2 tests): reuse contract - timeout result has cancel_observed=True when signaled - engine.mutable_messages not corrupted after cancelled turn - engine accepts fresh message after cancellation - TestCancelObservedSchemaCompliance (2 tests): SCHEMAS.md contract - cancel_observed is always bool - final_cancel_observed convenience field present Closure criteria validated: - ✅ Field exposed in bootstrap JSON - ✅ Field exposed per-turn in turn-loop JSON - ✅ Field is always bool, never null - ✅ Safe-to-reuse: engine can accept fresh messages after cancellation - ✅ mutable_messages not corrupted by cancelled turn - ✅ turn-loop promoted from OPT_OUT (14 clawable commands now) Protocol now distinguishes at runtime: timeout + cancel_observed=false → infra/wedge (escalate) timeout + cancel_observed=true → cooperative cancellation (safe to retry) Test results: 182 → 192 passing, +10 tests, zero regression, 3 skipped unchanged. Closes #164 Stage B. Stage C (async-native preemption) remains future work.
This commit is contained in:
41
src/main.py
41
src/main.py
@@ -101,6 +101,12 @@ def build_parser() -> argparse.ArgumentParser:
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'suffix that used to pollute the transcript.'
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),
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)
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loop_parser.add_argument(
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'--output-format',
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choices=['text', 'json'],
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default='text',
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help='output format (#164 Stage B: JSON includes cancel_observed per turn)',
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)
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flush_parser = subparsers.add_parser(
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'flush-transcript',
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@@ -349,15 +355,40 @@ def main(argv: list[str] | None = None) -> int:
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timeout_seconds=args.timeout_seconds,
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continuation_prompt=args.continuation_prompt,
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)
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# Exit 2 when a timeout terminated the loop so claws can distinguish
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# 'ran to completion' from 'hit wall-clock budget'.
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loop_exit_code = 2 if results and results[-1].stop_reason == 'timeout' else 0
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if args.output_format == 'json':
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# #164 Stage B + #173: JSON envelope with per-turn cancel_observed
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# Promotes turn-loop from OPT_OUT to CLAWABLE surface.
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import json
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envelope = {
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'prompt': args.prompt,
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'max_turns': args.max_turns,
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'turns_completed': len(results),
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'timeout_seconds': args.timeout_seconds,
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'continuation_prompt': args.continuation_prompt,
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'turns': [
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{
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'prompt': r.prompt,
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'output': r.output,
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'stop_reason': r.stop_reason,
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'cancel_observed': r.cancel_observed,
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'matched_commands': list(r.matched_commands),
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'matched_tools': list(r.matched_tools),
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}
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for r in results
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],
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'final_stop_reason': results[-1].stop_reason if results else None,
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'final_cancel_observed': results[-1].cancel_observed if results else False,
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}
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print(json.dumps(wrap_json_envelope(envelope, args.command, exit_code=loop_exit_code)))
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return loop_exit_code
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for idx, result in enumerate(results, start=1):
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print(f'## Turn {idx}')
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print(result.output)
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print(f'stop_reason={result.stop_reason}')
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# Exit 2 when a timeout terminated the loop so claws can distinguish
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# 'ran to completion' from 'hit wall-clock budget'.
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if results and results[-1].stop_reason == 'timeout':
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return 2
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return 0
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return loop_exit_code
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if args.command == 'flush-transcript':
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from pathlib import Path as _Path
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engine = QueryEnginePort.from_workspace()
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