serversdown
4f40e2d57e
Lyra's inner loop for when no one's talking to her. Each pass senses her own backlog/novelty, lets four drives build from real signals, and acts on those past threshold: - continuity -> summarize sessions with new turns - coherence -> rebuild profile/eras/narrative (stale once new gists land) - curiosity -> reflect() and evolve the self-state - stability -> readout of how caught-up she ended up Drives are rendered into chat context so she can feel them. Causal chain: consolidation creates gists -> coherence rises -> integration fires next. - lyra/dream.py: dream_cycle() + lyra-dream CLI (--force, --loop SECONDS) - memory: backlog_stats(), profile_sessions_covered(), WAL + busy_timeout so a separate dream process coexists with the web server - self_state: DEFAULT_DRIVES baseline + drives in render_for_context - tests/test_dream.py: backlog sensing + a full forced pass (LLM stubbed) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
79 lines
2.9 KiB
Python
79 lines
2.9 KiB
Python
"""Dream-cycle tests: backlog sensing + a full forced pass, with LLM/embeddings
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stubbed so nothing hits a real backend."""
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from __future__ import annotations
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import importlib
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import pytest
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@pytest.fixture
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def lyra(tmp_path, monkeypatch):
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"""A fresh Lyra wired to a temp DB with stubbed embeddings + LLM."""
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monkeypatch.setenv("LYRA_DB_PATH", str(tmp_path / "test.db"))
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monkeypatch.setenv("SUMMARY_BACKEND", "local")
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from lyra import llm
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# Deterministic 3-d embeddings; content-insensitive is fine for storage tests.
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monkeypatch.setattr(llm, "embed", lambda texts: [[0.1, 0.2, 0.3] for _ in texts])
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# reflect() expects JSON back; everything else just stores the text.
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monkeypatch.setattr(
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llm, "complete",
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lambda messages, backend=None, model=None:
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'{"mood":"focused","valence":0.7,"new_reflections":["I got some thinking done."]}',
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)
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import lyra.memory as memory
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importlib.reload(memory) # drop any cached connection from another test/db
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return memory
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def _seed(memory, session_id, n, summarized_up_to=None):
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ids = [memory.remember(session_id, "user", f"msg {i}") for i in range(n)]
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if summarized_up_to is not None:
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memory.store_summary(session_id, "gist", ids[summarized_up_to])
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return ids
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def test_backlog_stats(lyra):
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memory = lyra
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_seed(memory, "s-fresh", 5) # never summarized -> ripe
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_seed(memory, "s-ripe", 25, summarized_up_to=0) # 24 new turns -> ripe
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_seed(memory, "s-clean", 3, summarized_up_to=2) # caught up -> not dirty
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stats = memory.backlog_stats(ripe_threshold=20)
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assert stats["sessions"] == 3
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assert stats["dirty"] == 2
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assert stats["ripe"] == 2
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assert stats["max_exchange_id"] == 33
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def test_dream_cycle_consolidates_and_persists(lyra):
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memory = lyra
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from lyra import dream
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# A big backlog: enough never-summarized sessions that continuity saturates
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# and the resulting fresh gists push coherence past threshold too.
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for k in range(7):
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_seed(memory, f"s{k}", 4)
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state = dream.dream_cycle(force=False)
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# continuity built up and fired -> sessions got summarized
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assert len(memory.list_summaries()) == 7
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acts = state["dream"]["last_actions"]
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assert any("consolidated" in a for a in acts)
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# 7 fresh gists -> coherence crossed threshold -> profile got integrated
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assert any("integrated" in a for a in acts)
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assert memory.get_profile() is not None
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# drives + bookkeeping persisted and reload-able
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assert set(state["drives"]) == {"continuity", "coherence", "curiosity", "stability"}
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assert state["dream"]["cycle_count"] == 1
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assert memory.get_self_state()["dream"]["last_exchange_id"] == 28
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# a second pass with no new activity should rest (continuity relieved)
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state2 = dream.dream_cycle(force=False)
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assert state2["dream"]["cycle_count"] == 2
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assert state2["drives"]["continuity"] == 0.0
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