Replace the substring-based _memory_matches() with a token-overlap
matcher that tokenizes both memory content and response, applies
lightweight stemming (trailing s/ed/ing) and stop-word removal, then
checks whether >= 70% of the memory's tokens appear in the response.
This fixes the paraphrase blindness that prevented reinforcement from
ever firing on natural responses ("prefers" vs "prefer", "because
history" vs "because the history").
7 new tests (26 total reinforcement tests, all passing).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
493 lines
17 KiB
Python
493 lines
17 KiB
Python
"""Tests for Phase 9 Commit B reinforcement loop."""
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from fastapi.testclient import TestClient
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from atocore.interactions.service import record_interaction
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from atocore.main import app
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from atocore.memory.reinforcement import (
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DEFAULT_CONFIDENCE_DELTA,
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_stem,
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_tokenize,
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reinforce_from_interaction,
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)
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from atocore.memory.service import (
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create_memory,
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get_memories,
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reinforce_memory,
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)
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from atocore.models.database import init_db
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# --- service-level tests: reinforce_memory primitive ----------------------
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def test_reinforce_memory_bumps_active_memory(tmp_data_dir):
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init_db()
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mem = create_memory(
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memory_type="preference",
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content="prefers Python over Ruby for scripting",
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confidence=0.6,
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)
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applied, old_conf, new_conf = reinforce_memory(mem.id, confidence_delta=0.05)
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assert applied is True
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assert old_conf == 0.6
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assert abs(new_conf - 0.65) < 1e-9
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reloaded = get_memories(memory_type="preference", limit=10)
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match = next((m for m in reloaded if m.id == mem.id), None)
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assert match is not None
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assert abs(match.confidence - 0.65) < 1e-9
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assert match.reference_count == 1
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assert match.last_referenced_at # non-empty
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def test_reinforce_memory_caps_at_one(tmp_data_dir):
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init_db()
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mem = create_memory(
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memory_type="identity",
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content="is a mechanical engineer who runs AtoCore",
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confidence=0.98,
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)
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applied, old_conf, new_conf = reinforce_memory(mem.id, confidence_delta=0.05)
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assert applied is True
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assert old_conf == 0.98
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assert new_conf == 1.0
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def test_reinforce_memory_rejects_candidate_and_missing(tmp_data_dir):
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init_db()
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candidate = create_memory(
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memory_type="knowledge",
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content="the lateral support uses GF-PTFE pads",
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confidence=0.5,
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status="candidate",
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)
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applied, _, _ = reinforce_memory(candidate.id)
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assert applied is False
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missing, _, _ = reinforce_memory("no-such-id")
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assert missing is False
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def test_reinforce_memory_accumulates_reference_count(tmp_data_dir):
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init_db()
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mem = create_memory(
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memory_type="preference",
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content="likes concise code reviews that focus on the why",
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confidence=0.5,
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)
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for _ in range(5):
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reinforce_memory(mem.id, confidence_delta=0.01)
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reloaded = [m for m in get_memories(memory_type="preference", limit=10) if m.id == mem.id][0]
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assert reloaded.reference_count == 5
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assert abs(reloaded.confidence - 0.55) < 1e-9
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def test_reinforce_memory_rejects_negative_delta(tmp_data_dir):
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init_db()
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mem = create_memory(memory_type="preference", content="always uses structured logging")
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import pytest
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with pytest.raises(ValueError):
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reinforce_memory(mem.id, confidence_delta=-0.01)
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# --- reinforce_from_interaction: the high-level matcher -------------------
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def _make_interaction(**overrides):
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return record_interaction(
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prompt=overrides.get("prompt", "ignored"),
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response=overrides.get("response", ""),
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response_summary=overrides.get("response_summary", ""),
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project=overrides.get("project", ""),
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client=overrides.get("client", ""),
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session_id=overrides.get("session_id", ""),
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reinforce=False, # the matcher is tested in isolation here
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)
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def test_reinforce_from_interaction_matches_active_memory(tmp_data_dir):
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init_db()
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mem = create_memory(
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memory_type="preference",
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content="prefers tests that describe behaviour in plain English",
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confidence=0.5,
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)
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interaction = _make_interaction(
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response=(
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"I wrote the new tests in plain English, since the project "
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"prefers tests that describe behaviour in plain English and "
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"that makes them easier to review."
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),
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)
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results = reinforce_from_interaction(interaction)
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assert len(results) == 1
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assert results[0].memory_id == mem.id
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assert abs(results[0].new_confidence - (0.5 + DEFAULT_CONFIDENCE_DELTA)) < 1e-9
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def test_reinforce_from_interaction_ignores_candidates_and_inactive(tmp_data_dir):
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init_db()
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candidate = create_memory(
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memory_type="knowledge",
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content="the polisher frame uses kinematic mounts for thermal isolation",
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confidence=0.6,
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status="candidate",
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)
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interaction = _make_interaction(
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response=(
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"The polisher frame uses kinematic mounts for thermal isolation, "
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"which matches the note in the design log."
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),
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)
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results = reinforce_from_interaction(interaction)
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# Candidate should NOT be reinforced even though the text matches
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assert all(r.memory_id != candidate.id for r in results)
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def test_reinforce_from_interaction_requires_min_content_length(tmp_data_dir):
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init_db()
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short_mem = create_memory(
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memory_type="preference",
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content="uses SI", # below min length
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)
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interaction = _make_interaction(
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response="Everything uses SI for this project, consistently.",
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)
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results = reinforce_from_interaction(interaction)
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assert all(r.memory_id != short_mem.id for r in results)
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def test_reinforce_from_interaction_empty_response_is_noop(tmp_data_dir):
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init_db()
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create_memory(memory_type="preference", content="prefers structured logging")
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interaction = _make_interaction(response="", response_summary="")
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results = reinforce_from_interaction(interaction)
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assert results == []
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def test_reinforce_from_interaction_is_normalized(tmp_data_dir):
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init_db()
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mem = create_memory(
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memory_type="preference",
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content="Prefers concise commit messages focused on the why",
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)
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# Response has different casing and extra whitespace — should still match
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interaction = _make_interaction(
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response=(
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"The commit message was short on purpose — the user\n\n"
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"PREFERS concise commit MESSAGES focused on the WHY, "
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"so I stuck to one sentence."
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),
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)
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results = reinforce_from_interaction(interaction)
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assert any(r.memory_id == mem.id for r in results)
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def test_reinforce_from_interaction_deduplicates_across_buckets(tmp_data_dir):
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init_db()
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mem = create_memory(
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memory_type="identity",
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content="mechanical engineer who runs AtoCore",
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project="",
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)
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# This memory belongs to the identity bucket AND would also be
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# fetched via the project query if project matched. We want to ensure
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# we don't double-reinforce.
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interaction = _make_interaction(
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response="The mechanical engineer who runs AtoCore asked for this patch.",
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project="p05-interferometer",
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)
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results = reinforce_from_interaction(interaction)
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assert sum(1 for r in results if r.memory_id == mem.id) == 1
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# --- automatic reinforcement on record_interaction ------------------------
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def test_record_interaction_auto_reinforces_by_default(tmp_data_dir):
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init_db()
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mem = create_memory(
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memory_type="preference",
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content="writes tests before hooking features into API routes",
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confidence=0.5,
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)
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record_interaction(
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prompt="please add the /foo endpoint with tests",
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response=(
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"Wrote tests first, then added the /foo endpoint. The project "
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"writes tests before hooking features into API routes so the "
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"order is enforced."
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),
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)
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reloaded = [m for m in get_memories(memory_type="preference", limit=20) if m.id == mem.id][0]
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assert reloaded.confidence > 0.5
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assert reloaded.reference_count == 1
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def test_record_interaction_reinforce_false_skips_pass(tmp_data_dir):
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init_db()
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mem = create_memory(
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memory_type="preference",
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content="always includes a rollback note in risky commits",
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confidence=0.5,
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)
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record_interaction(
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prompt="ignored",
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response=(
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"I always includes a rollback note in risky commits, so the "
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"commit message mentions how to revert if needed."
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),
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reinforce=False,
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)
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reloaded = [m for m in get_memories(memory_type="preference", limit=20) if m.id == mem.id][0]
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assert reloaded.confidence == 0.5
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assert reloaded.reference_count == 0
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def test_record_interaction_auto_reinforce_handles_empty_response(tmp_data_dir):
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init_db()
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mem = create_memory(memory_type="preference", content="prefers descriptive branch names")
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# No response text — reinforcement should be a silent no-op
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record_interaction(prompt="hi", response="", response_summary="")
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reloaded = [m for m in get_memories(memory_type="preference", limit=20) if m.id == mem.id][0]
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assert reloaded.reference_count == 0
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# --- API level ------------------------------------------------------------
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def test_api_reinforce_endpoint_runs_against_stored_interaction(tmp_data_dir):
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init_db()
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mem = create_memory(
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memory_type="preference",
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content="rejects commits that touch credential files",
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confidence=0.5,
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)
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interaction = record_interaction(
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prompt="review commit",
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response=(
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"I rejects commits that touch credential files on sight. "
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"That commit touched ~/.git-credentials, so it was blocked."
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),
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reinforce=False, # leave untouched for the endpoint to do it
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)
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client = TestClient(app)
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response = client.post(f"/interactions/{interaction.id}/reinforce")
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assert response.status_code == 200
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body = response.json()
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assert body["interaction_id"] == interaction.id
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assert body["reinforced_count"] >= 1
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ids = [r["memory_id"] for r in body["reinforced"]]
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assert mem.id in ids
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def test_api_reinforce_endpoint_returns_404_for_missing(tmp_data_dir):
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init_db()
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client = TestClient(app)
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response = client.post("/interactions/does-not-exist/reinforce")
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assert response.status_code == 404
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def test_api_post_interactions_accepts_reinforce_false(tmp_data_dir):
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init_db()
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mem = create_memory(
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memory_type="preference",
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content="writes runbooks alongside new services",
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confidence=0.5,
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)
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client = TestClient(app)
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response = client.post(
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"/interactions",
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json={
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"prompt": "review",
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"response": (
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"I writes runbooks alongside new services and the diff includes "
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"one under docs/runbooks/."
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),
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"reinforce": False,
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},
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)
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assert response.status_code == 200
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reloaded = [m for m in get_memories(memory_type="preference", limit=20) if m.id == mem.id][0]
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assert reloaded.confidence == 0.5
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assert reloaded.reference_count == 0
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# --- alias canonicalization end-to-end -------------------------------------
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def test_reinforcement_works_when_capture_uses_alias(project_registry):
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"""End-to-end: capture under an alias, seed memory under canonical id,
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verify reinforcement still finds and bumps the memory.
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Regression for codex's P2 finding: previously interaction.project
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was stored verbatim and reinforcement queried memories using that
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raw value, so capturing under "p05" while memories live under
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"p05-interferometer" silently missed everything.
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"""
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init_db()
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project_registry(("p05-interferometer", ["p05", "interferometer"]))
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# Seed an active memory under the CANONICAL id
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mem = create_memory(
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memory_type="project",
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content="the lateral support pads use GF-PTFE for thermal stability",
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project="p05-interferometer",
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confidence=0.5,
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)
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# Capture an interaction under the ALIAS — this is the bug case
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record_interaction(
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prompt="status update",
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response=(
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"Quick note: the lateral support pads use GF-PTFE for thermal "
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"stability and that's still the current selection."
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),
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project="p05",
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)
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# The seeded memory should have been reinforced
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reloaded = [
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m
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for m in get_memories(memory_type="project", project="p05-interferometer", limit=20)
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if m.id == mem.id
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][0]
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assert reloaded.confidence > 0.5
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assert reloaded.reference_count == 1
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def test_get_memories_filter_by_alias(project_registry):
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"""Filtering memories by an alias should find rows stored under canonical."""
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init_db()
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project_registry(("p04-gigabit", ["p04", "gigabit"]))
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create_memory(memory_type="project", content="m1", project="p04-gigabit")
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create_memory(memory_type="project", content="m2", project="gigabit")
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via_alias = get_memories(memory_type="project", project="p04")
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via_canonical = get_memories(memory_type="project", project="p04-gigabit")
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assert len(via_alias) == 2
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assert len(via_canonical) == 2
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assert {m.content for m in via_alias} == {"m1", "m2"}
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# --- token-overlap matcher: unit tests -------------------------------------
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def test_stem_folds_s_ed_ing():
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assert _stem("prefers") == "prefer"
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assert _stem("preferred") == "prefer"
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assert _stem("services") == "service"
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assert _stem("processing") == "process"
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# Short words must not be over-stripped
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assert _stem("red") == "red" # 3 chars, don't strip "ed"
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assert _stem("bus") == "bus" # 3 chars, don't strip "s"
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assert _stem("sing") == "sing" # 4 chars, don't strip "ing"
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assert _stem("being") == "being" # 5 chars, "ing" strip leaves "be" (2) — too short
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def test_tokenize_removes_stop_words():
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tokens = _tokenize("the quick brown fox jumps over the lazy dog")
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assert "the" not in tokens
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assert "quick" in tokens
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assert "brown" in tokens
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assert "fox" in tokens
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assert "dog" in tokens
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# "over" has len 4, not a stop word → kept (stemmed: "over")
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assert "over" in tokens
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# --- token-overlap matcher: paraphrase matching ----------------------------
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def test_reinforce_matches_paraphrase_prefers_vs_prefer(tmp_data_dir):
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"""The canonical rebase case from phase9-first-real-use.md."""
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init_db()
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mem = create_memory(
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memory_type="preference",
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content="prefers rebase-based workflows because history stays linear",
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confidence=0.5,
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)
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interaction = _make_interaction(
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response=(
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"I prefer rebase-based workflows because the history stays "
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"linear and reviewers have an easier time."
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),
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)
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results = reinforce_from_interaction(interaction)
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assert any(r.memory_id == mem.id for r in results)
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def test_reinforce_matches_paraphrase_with_articles_and_ed(tmp_data_dir):
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init_db()
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mem = create_memory(
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memory_type="preference",
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content="preferred structured logging across all backend services",
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confidence=0.5,
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)
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interaction = _make_interaction(
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response=(
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"I set up structured logging across all the backend services, "
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"which the team prefers for consistency."
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),
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)
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results = reinforce_from_interaction(interaction)
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assert any(r.memory_id == mem.id for r in results)
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def test_reinforce_rejects_low_overlap(tmp_data_dir):
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init_db()
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mem = create_memory(
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memory_type="preference",
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content="always uses Python for data processing scripts",
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confidence=0.5,
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)
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interaction = _make_interaction(
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response=(
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"The CI pipeline runs on Node.js and deploys to Kubernetes "
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"using Helm charts."
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),
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)
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results = reinforce_from_interaction(interaction)
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assert all(r.memory_id != mem.id for r in results)
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def test_reinforce_matches_at_70_percent_threshold(tmp_data_dir):
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"""Exactly 7 of 10 content tokens present → should match."""
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init_db()
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# After stop-word removal and stemming, this has 10 tokens:
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# alpha, bravo, charlie, delta, echo, foxtrot, golf, hotel, india, juliet
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mem = create_memory(
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memory_type="preference",
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content="alpha bravo charlie delta echo foxtrot golf hotel india juliet",
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confidence=0.5,
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)
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# Echo 7 of 10 tokens (70%) plus some noise
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interaction = _make_interaction(
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response="alpha bravo charlie delta echo foxtrot golf noise words here",
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)
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results = reinforce_from_interaction(interaction)
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assert any(r.memory_id == mem.id for r in results)
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def test_reinforce_rejects_below_70_percent(tmp_data_dir):
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"""Only 6 of 10 content tokens present (60%) → should NOT match."""
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init_db()
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mem = create_memory(
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memory_type="preference",
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content="alpha bravo charlie delta echo foxtrot golf hotel india juliet",
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confidence=0.5,
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)
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# Echo 6 of 10 tokens (60%) plus noise
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interaction = _make_interaction(
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response="alpha bravo charlie delta echo foxtrot noise words here only",
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)
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results = reinforce_from_interaction(interaction)
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assert all(r.memory_id != mem.id for r in results)
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