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NOT_REVIEWED integration checkpoint for READY 02-COGNITION. Contains linked knowledge, book composition, source retention, Nano view primitives and native multiwindow review. Full phase review, shared model/loop wiring, book migration and live acceptance remain pending. No version bump, tag or public delivery.
47 lines
2.6 KiB
Python
47 lines
2.6 KiB
Python
"""Complete tool sources precede the fitting view, including parallel results."""
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import json
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from ouroboros.artifacts import read_actor_source_bytes
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from ouroboros.context_fit import project_tool_result_batch
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def _fit(messages, tools):
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size = len(json.dumps({"messages": messages, "tools": tools}, ensure_ascii=False))
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return {"accepted": size <= 2200, "serialized_chars": size, "strict_bound_proven": False}
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def test_escaped_parallel_sources_survive_before_bounded_projection(tmp_path):
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originals = ['α\n"\t' * 2000, 'Independent reviewer finding. ' * 2000]
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rows = [{"tool_call_id": str(i), "fn_name": name, "result": body,
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"result_meta": {"knowledge_source_complete": True}}
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for i, (name, body) in enumerate(zip(["knowledge_read", "commit_reviewed"], originals))]
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projected, receipt = project_tool_result_batch(rows, [], [], drive_root=tmp_path, task_id="task",
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fit_candidate=_fit)
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assert receipt["status"] == "projected"
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assert [r["tool_call_id"] for r in projected] == ["0", "1"]
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assert [r["result"] for r in rows] == originals
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for row, original in zip(projected, originals):
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assert read_actor_source_bytes(tmp_path, "task", row["result_source_ref"]).decode() == original
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start, end = row["result_source_view"]["delivered_range"]
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assert start == 0 and row["result"].startswith(original[:end])
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assert row["result_partial"] and not row["result_meta"]["knowledge_source_complete"]
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assert receipt["fit"]["serialized_chars"] <= 2200
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def test_fitting_full_batch_is_byte_identical_and_needs_no_source_write(tmp_path):
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rows = [{"tool_call_id": "one", "result": "Complete small result"}]
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projected, receipt = project_tool_result_batch(rows, [], [], drive_root=tmp_path, task_id="task",
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fit_candidate=_fit)
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assert projected == rows and receipt["status"] == "complete"
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assert list(tmp_path.iterdir()) == []
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def test_unfit_minimum_keeps_all_sources_and_does_not_claim_a_fitting_send(tmp_path):
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rows = [{"tool_call_id": str(i), "result": "content" * 1000} for i in range(3)]
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projected, receipt = project_tool_result_batch(rows, [], [], drive_root=tmp_path, task_id="task",
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fit_candidate=lambda m,t: {"accepted": False})
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assert receipt["status"] == "minimum_view_unfit"
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assert len(projected) == 3
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for row, original in zip(projected, rows):
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assert read_actor_source_bytes(tmp_path, "task", row["result_source_ref"]).decode() == original["result"]
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