fix & feat: resolve user reports #1 through #8 (TTS voice & speed, modals, scrollbar, CEFR hint, SRS grammar exclusion, global word lookup)

app/routers/feedback.py

@@ -12,7 +12,8 @@ logger = logging.getLogger(__name__)
 
 router = APIRouter(prefix="/api/feedback", tags=["Feedback & Bug Tracker"])
 
-# Path to workspace memory file for seamless Antigravity AI reading
+# Paths to markdown reports files for seamless Antigravity AI reading
+DATA_REPORTS_FILE = Path(__file__).resolve().parent.parent.parent / "data" / "USER_REPORTS.md"
 MEMORY_REPORTS_FILE = Path("/home/ai-projects/memory/USER_REPORTS.md")
 
 
@@ -97,8 +98,13 @@ def sync_reports_to_markdown(conn):
                 lines.append(f"- [x] **#{r['id']} {cat_emoji} ({r['created_at']})**: {r['message'].strip()} *(Страница: {r['context_url'] or 'общая'})*")
             lines.append("")
 
-        MEMORY_REPORTS_FILE.parent.mkdir(parents=True, exist_ok=True)
-        MEMORY_REPORTS_FILE.write_text("\n".join(lines), encoding="utf-8")
+        content = "\n".join(lines)
+        for target in [DATA_REPORTS_FILE, MEMORY_REPORTS_FILE]:
+            try:
+                target.parent.mkdir(parents=True, exist_ok=True)
+                target.write_text(content, encoding="utf-8")
+            except Exception as e:
+                logger.debug(f"Could not write to {target}: {e}")
     except Exception as e:
         logger.warning(f"Could not sync reports to markdown: {e}")
 

app/routers/srs.py

@@ -24,6 +24,7 @@ async def api_srs_queue(
     tag: Optional[str] = None,
     limit: int = 25,
     mix: bool = False,
+    exclude_grammar: bool = True,
     user: dict = Depends(require_user),
 ):
     """
@@ -46,6 +47,13 @@ async def api_srs_queue(
             col_filter += " AND tags LIKE ?"
             col_params.append(f"%{tag.strip()}%")
 
+        # Exclude grammar cards from standard SRS vocabulary training unless grammar collection/tag is specifically requested
+        wants_grammar = (collection and ("грамматика" in collection.lower() or "grammar" in collection.lower())) or \
+                        (tag and "grammar" in tag.lower())
+        if exclude_grammar and not wants_grammar:
+            col_filter += " AND (collection IS NULL OR (collection != 'Грамматика Мерфи' AND collection NOT LIKE '%grammar%'))"
+            col_filter += " AND (tags IS NULL OR tags NOT LIKE '%grammar%')"
+
         if mix:
             # 1. New cards (up to 10)
             new_rows = conn.execute(
@@ -117,6 +125,7 @@ async def api_srs_quiz(
     collection: Optional[str] = None,
     tag: Optional[str] = None,
     count: int = 10,
+    exclude_grammar: bool = True,
     user: dict = Depends(require_user),
 ):
     """
@@ -132,15 +141,22 @@ async def api_srs_quiz(
             col_filter += " AND tags LIKE ?"
             col_params.append(f"%{tag.strip()}%")
 
+        wants_grammar = (collection and ("грамматика" in collection.lower() or "grammar" in collection.lower())) or \
+                        (tag and "grammar" in tag.lower())
+        if exclude_grammar and not wants_grammar:
+            col_filter += " AND (collection IS NULL OR (collection != 'Грамматика Мерфи' AND collection NOT LIKE '%grammar%'))"
+            col_filter += " AND (tags IS NULL OR tags NOT LIKE '%grammar%')"
+
         rows = conn.execute(
             f"SELECT * FROM vocabulary_cards WHERE user_id = ?{col_filter} ORDER BY RANDOM() LIMIT ?",
             [user["id"]] + col_params + [count],
         ).fetchall()
         target_cards = [dict(r) for r in rows]
 
-        # Fetch pool of all user cards for generating smart distractors
+        # Fetch pool of user cards for generating smart distractors (exclude grammar)
+        distractor_filter = " AND (collection IS NULL OR (collection != 'Грамматика Мерфи' AND collection NOT LIKE '%grammar%')) AND (tags IS NULL OR tags NOT LIKE '%grammar%')" if exclude_grammar and not wants_grammar else ""
         all_rows = conn.execute(
-            "SELECT id, term, translation, part_of_speech FROM vocabulary_cards WHERE user_id = ?",
+            f"SELECT id, term, translation, part_of_speech FROM vocabulary_cards WHERE user_id = ?{distractor_filter}",
             (user["id"],),
         ).fetchall()
         all_cards = [dict(r) for r in all_rows]