feat: drawer significance review panel (T98.2)
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@@ -456,6 +456,52 @@
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</details>
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</section>
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<section class="drawer-section">
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<h3>Significance review</h3>
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{% set total_mem = significance_distribution.values()|sum %}
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{% if total_mem %}
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<ul class="significance-distribution">
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{% for level in [0, 1, 2, 3] %}
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{% set count = significance_distribution[level] %}
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{% set marker = ['·','•','★','★★'][level] %}
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{% set pct = (100 * count / total_mem)|round(0, 'floor')|int if total_mem else 0 %}
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<li class="sig-bar sig-{{ level }}">
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<span class="sig-label">{{ marker }} ({{ level }})</span>
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<span class="sig-bar-fill" style="width: {{ pct }}%"></span>
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<span class="sig-count">{{ count }}</span>
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</li>
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{% endfor %}
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</ul>
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{% else %}
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<p class="muted">No memories yet.</p>
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{% endif %}
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{% if recent_memories %}
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<details>
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<summary>Edit significance (recent memories)</summary>
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<ul class="significance-edit-list">
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{% for m in recent_memories %}
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<li>
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<span class="sig sig-{{ m.significance }}">{{ ['·','•','★','★★'][m.significance|default(0)] }}</span>
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{{ m.pov_summary[:80] }}{% if m.pov_summary|length > 80 %}…{% endif %}
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<form class="inline-edit"
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hx-post="/chats/{{ chat.id }}/drawer/memory/{{ m.id }}/significance"
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hx-target="#drawer" hx-swap="innerHTML">
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<label>
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Significance:
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<input type="range" name="significance" min="0" max="3"
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value="{{ m.significance|default(0) }}"
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oninput="this.nextElementSibling.value = this.value">
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<output>{{ m.significance|default(0) }}</output>
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</label>
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<button type="submit">Save</button>
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</form>
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</li>
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{% endfor %}
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</ul>
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</details>
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{% endif %}
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</section>
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<section class="drawer-section">
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<h3>Pinned memories ({{ pinned|length }} / {{ pin_cap }})</h3>
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{% if pinned %}
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@@ -181,6 +181,21 @@ async def drawer(chat_id: str, request: Request, conn=Depends(get_conn)):
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# returns both flavours and the template highlights the active one).
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branches = list_branches_with_metadata(conn, chat_id)
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# T98.2: significance distribution across this chat's memories. Powers
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# the "Significance review" panel — a small histogram letting authors
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# spot lopsided buckets (e.g. nothing significant=3 yet) and triage by
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# editing individual memory significance values.
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sig_rows = conn.execute(
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"SELECT significance, COUNT(*) FROM memories "
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"WHERE chat_id = ? GROUP BY significance ORDER BY significance",
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(chat_id,),
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).fetchall()
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significance_distribution = {int(r[0]): int(r[1]) for r in sig_rows}
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# Ensure every bucket 0..3 is present so the bar-chart template can
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# render a stable axis even when a level has zero rows.
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for level in (0, 1, 2, 3):
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significance_distribution.setdefault(level, 0)
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return TEMPLATES.TemplateResponse(
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request,
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"_drawer.html",
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@@ -209,6 +224,7 @@ async def drawer(chat_id: str, request: Request, conn=Depends(get_conn)):
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"active_events": active_events,
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"open_threads": open_threads,
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"branches": branches,
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"significance_distribution": significance_distribution,
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},
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)
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@@ -187,3 +187,96 @@ def test_t98_1_branch_from_turn_emits_branch_created(client, tmp_path):
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)
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assert dup.status_code == 400
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assert seed_id < turn_id # sanity: turn is after chat_created
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# ---------------------------------------------------------------------------
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# T98.2 — significance review panel.
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# ---------------------------------------------------------------------------
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def _seed_memories_for_significance(db: Path) -> list[int]:
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"""Seed three memories with significance levels 0, 1, 2. Returns ids.
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Uses ``append_and_apply`` (vs ``append_event`` + a final ``project``)
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so each row is applied exactly once — the chat row was already
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materialised by ``_seed_chat`` and a re-projection would conflict
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on ``chats.id`` UNIQUE.
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"""
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ids: list[int] = []
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with open_db(db) as conn:
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for sig in (0, 1, 2):
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append_and_apply(
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conn,
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kind="memory_written",
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payload={
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"owner_id": "bot_a",
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"chat_id": "chat_bot_a",
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"pov_summary": f"memory at significance {sig}",
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"witness_you": 1,
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"witness_host": 1,
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"witness_guest": 0,
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"significance": sig,
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},
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)
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rows = conn.execute(
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"SELECT id FROM memories WHERE chat_id = 'chat_bot_a' "
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"ORDER BY id ASC"
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).fetchall()
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ids = [int(r[0]) for r in rows]
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return ids
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def test_t98_2_distribution_renders_per_significance_bucket(client, tmp_path):
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db = tmp_path / "test.db"
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_seed_chat(db)
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_seed_memories_for_significance(db)
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response = client.get("/chats/chat_bot_a/drawer")
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assert response.status_code == 200
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body = response.text
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# Section heading + bar entries for each significance level.
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assert "<h3>Significance review</h3>" in body
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# All four buckets appear by their canonical label even when count=0.
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assert ">★★ (3)<" in body or "(3)" in body
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# The distribution markup names each level explicitly.
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for level in (0, 1, 2, 3):
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assert f"sig-bar sig-{level}" in body
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# Three seeded memories (sigs 0, 1, 2) — each has a count = 1 bar.
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# We don't pin exact text formatting, just verify the per-level bars
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# are present.
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def test_t98_2_edit_significance_via_existing_route_lands_manual_edit(
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client, tmp_path
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):
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db = tmp_path / "test.db"
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_seed_chat(db)
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ids = _seed_memories_for_significance(db)
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target_id = ids[0] # initially significance=0
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response = client.post(
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f"/chats/chat_bot_a/drawer/memory/{target_id}/significance",
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data={"significance": "3"},
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)
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assert response.status_code == 200
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with open_db(db) as conn:
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# Significance updated in the projected table.
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row = conn.execute(
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"SELECT significance FROM memories WHERE id = ?", (target_id,)
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).fetchone()
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assert int(row[0]) == 3
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# manual_edit landed in the event log with the prior snapshot.
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import json as _json
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log_rows = conn.execute(
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"SELECT payload_json FROM event_log "
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"WHERE kind = 'manual_edit' ORDER BY id DESC LIMIT 1"
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).fetchone()
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payload = _json.loads(log_rows[0])
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assert payload["target_kind"] == "memory_significance"
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assert int(payload["target_id"]) == target_id
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assert payload["prior_value"] == 0
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assert payload["new_value"] == 3
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