feat(learning): chair-feedback style corrections auto-flow to writer (P1 #6) #344
@@ -2875,6 +2875,48 @@ async def get_style_patterns(pattern_type: str | None = None) -> list[dict]:
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return [dict(r) for r in rows]
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async def append_global_rule(
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category: str, key: str, items: list[str], seed_if_missing: list | None = None,
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) -> int:
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"""Append items to a _global appeal_type_rules list value (the writer-consumed
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methodology channel), idempotently and under a row lock. Returns how many NEW
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items were added (existing duplicates are skipped). Single locked read-modify-
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write (MET-2/3) so concurrent appends can't drop items. Shared by the /training
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promote gate (web `_append_methodology_override`) and chair-feedback auto-flow
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(G2 — one append implementation)."""
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pool = await get_pool()
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async with pool.acquire() as conn:
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async with conn.transaction():
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row = await conn.fetchrow(
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"SELECT rule_value FROM appeal_type_rules "
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"WHERE appeal_type = '_global' AND rule_category = $1 AND rule_key = $2 "
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"FOR UPDATE",
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category, key,
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)
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if row:
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current = row["rule_value"]
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if isinstance(current, str):
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try:
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current = json.loads(current)
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except (json.JSONDecodeError, TypeError):
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current = []
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else:
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current = list(seed_if_missing or [])
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if not isinstance(current, list):
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current = []
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added = [s for s in items if s and s not in current]
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if not added and row:
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return 0
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merged = current + added
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await conn.execute(
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"INSERT INTO appeal_type_rules (id, appeal_type, rule_category, rule_key, rule_value) "
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"VALUES (gen_random_uuid(), '_global', $1, $2, $3::text::jsonb) "
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"ON CONFLICT (appeal_type, rule_category, rule_key) DO UPDATE SET rule_value = $3::text::jsonb",
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category, key, json.dumps(merged, ensure_ascii=False),
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)
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return len(added)
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async def get_methodology_overrides(category: str) -> dict:
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"""Chair's /methodology edits for one category (golden_ratios / discussion_rules /
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content_checklists). Returns {rule_key: parsed_value}. These OVERRIDE the hardcoded
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@@ -394,13 +394,35 @@ async def record_chair_feedback(
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lesson_extracted=lesson_extracted,
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)
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# Auto-flow chair-authored STYLE feedback to the writer (closes the dead
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# chair_feedback→lesson chain — 27 feedback rows had produced 0 lessons). The
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# chair is the highest authority, so a style correction she writes flows
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# immediately — the chair IS the gate. It rides the SAME discussion_rules channel
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# promote uses (db.append_global_rule, G2), reaching every block, without the
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# style_corpus coupling decision_lessons require. SUBSTANCE feedback
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# (missing_content/factual_error/other) is case-specific → recorded only.
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# (INV-LRN1 graduated gate; 07-learning §1.2.)
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_STYLE_FB = {"style", "wrong_tone", "wrong_structure"}
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flowed = 0
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if lesson_extracted.strip() and category in _STYLE_FB:
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try:
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flowed = await db.append_global_rule(
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"discussion_rules", "universal", [lesson_extracted.strip()],
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)
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except Exception as e:
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logger.warning("chair-feedback auto-flow failed for %s: %s", case_number, e)
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msg = f"הערה נרשמה בהצלחה. קטגוריה: {category}."
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if flowed:
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msg += " הלקח (סגנון) זרם אוטומטית לכותב."
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return ok({
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"feedback_id": str(feedback_id),
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"flowed_to_writer": bool(flowed),
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"next_steps": [
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"כדי להפיק לקח מההערה, הפעל: analyze_chair_feedback",
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"כדי לסמן כמטופל: resolve_chair_feedback",
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],
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}, message=f"הערה נרשמה בהצלחה. קטגוריה: {category}.")
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}, message=msg)
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_CURATOR_FINDING_CATEGORIES = {"style", "structure", "lexicon", "tabular", "general"}
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37
web/app.py
37
web/app.py
@@ -4906,36 +4906,13 @@ class PromoteLearningRequest(BaseModel):
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async def _append_methodology_override(category: str, key: str, items: list[str]) -> None:
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"""Read current (override-or-default) list value, append new items, upsert override.
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Shared by the T14 approval gate to fold approved learnings into writer-consumed channels.
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MET-2/3 (INV-IA3): the read-modify-write runs inside ONE transaction with the
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existing override row locked FOR UPDATE, so a concurrent promote (or a methodology
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PUT) can't interleave between the read and the write and silently drop items.
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The methodology PUT overwrites the same row; the MET-1 invalidation (גל-1) makes
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the /methodology editor refetch on promote so it edits post-append state."""
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pool = await db.get_pool()
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async with pool.acquire() as conn:
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async with conn.transaction():
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row = await conn.fetchrow(
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"SELECT rule_value FROM appeal_type_rules "
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"WHERE appeal_type = '_global' AND rule_category = $1 AND rule_key = $2 "
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"FOR UPDATE",
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category, key,
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)
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if row:
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current = _coerce_json(row["rule_value"]) or []
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else:
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current = list(_METHODOLOGY_DEFAULTS.get(category, {}).get(key, []))
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if not isinstance(current, list):
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current = []
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merged = current + [s for s in items if s and s not in current]
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await conn.execute(
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"INSERT INTO appeal_type_rules (id, appeal_type, rule_category, rule_key, rule_value) "
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"VALUES (gen_random_uuid(), '_global', $1, $2, $3::text::jsonb) "
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"ON CONFLICT (appeal_type, rule_category, rule_key) DO UPDATE SET rule_value = $3::text::jsonb",
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category, key, json.dumps(merged, ensure_ascii=False),
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)
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"""Thin wrapper over db.append_global_rule (the single locked append impl, G2) —
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seeds from _METHODOLOGY_DEFAULTS when no override row exists yet. Shared by the
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T14 promote gate; chair-feedback auto-flow calls db.append_global_rule directly."""
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await db.append_global_rule(
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category, key, items,
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seed_if_missing=list(_METHODOLOGY_DEFAULTS.get(category, {}).get(key, [])),
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)
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@app.post("/api/learning/pairs/{pair_id}/promote")
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