Merge pull request 'feat(style-acq T15): הכותב צורך את כל הלמידה (/methodology + /training) + תיקון-מספור' (#72) from worktree-style-acquisition-mvp into main

mcp-server/src/legal_mcp/services/db.py

@@ -2199,6 +2199,48 @@ async def get_style_patterns(pattern_type: str | None = None) -> list[dict]:
     return [dict(r) for r in rows]
 
 
+async def get_methodology_overrides(category: str) -> dict:
+    """Chair's /methodology edits for one category (golden_ratios / discussion_rules /
+    content_checklists). Returns {rule_key: parsed_value}. These OVERRIDE the hardcoded
+    lessons.py defaults — the writer must consume them (T15 / INV-LRN4). Mirrors the merge
+    in GET /api/methodology/{category}."""
+    pool = await get_pool()
+    async with pool.acquire() as conn:
+        rows = await conn.fetch(
+            "SELECT rule_key, rule_value FROM appeal_type_rules "
+            "WHERE appeal_type = '_global' AND rule_category = $1",
+            category,
+        )
+    out: dict = {}
+    for r in rows:
+        raw = r["rule_value"]
+        if isinstance(raw, str):
+            try:
+                raw = json.loads(raw)
+            except (json.JSONDecodeError, TypeError):
+                pass
+        out[r["rule_key"]] = raw
+    return out
+
+
+async def get_recent_decision_lessons(limit: int = 15, practice_area: str = "") -> list[dict]:
+    """Per-decision learnings the chair/curator attached in /training (decision_lessons),
+    so the writer consumes them too (T15). Prefers style/structure/lexicon, recent first."""
+    pool = await get_pool()
+    async with pool.acquire() as conn:
+        rows = await conn.fetch(
+            """SELECT dl.lesson_text, dl.category, dl.source,
+                      sc.decision_number, sc.practice_area
+               FROM decision_lessons dl
+               JOIN style_corpus sc ON sc.id = dl.style_corpus_id
+               WHERE ($2 = '' OR sc.practice_area = $2)
+               ORDER BY dl.created_at DESC
+               LIMIT $1""",
+            limit, practice_area,
+        )
+    return [dict(r) for r in rows]
+
+
 async def upsert_style_pattern(
     pattern_type: str,
     pattern_text: str,