Subjects per grade (math, calculus, geometry, stats, discrete), 5 new textbooks, 202 new islands, long islands split, hand-written figures and lesson texts for the new books

- content.Subject + Unit.subject, /api/home?subject=, tutor grounded in the chosen book
- 5 new books ingested; ~1150 hand-written questions, islands named by hand
- node_split: islands over 7 lessons split into parts of <=6 (lesson ids and progress kept)
- Lesson.figures hand-authored and visually checked for 653 lessons of the new books;
  gen_lesson_figures got --subject and survives network errors
- seed files re-exported

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>

content/management/commands/gen_lesson_figures.py

@@ -24,6 +24,7 @@ import threading
 from concurrent.futures import ThreadPoolExecutor
 from pathlib import Path
 
+import openai
 from django.core.management.base import BaseCommand, CommandError
 
 from content.models import Lesson
@@ -109,6 +110,7 @@ class Command(BaseCommand):
 
     def add_arguments(self, p):
         p.add_argument('--grade', type=int, help='بدونِ آن همه‌ی پایه‌ها')
+        p.add_argument('--subject', help='عنوانِ کتاب (مثلاً هندسه)؛ بدونِ آن همه‌ی کتاب‌ها')
         p.add_argument('--limit', type=int, default=4)
         p.add_argument('--lesson', type=int, help='فقط همین شناسه')
         p.add_argument('--redo', action='store_true', help='درس‌هایی که شکل دارند هم')
@@ -128,6 +130,8 @@ class Command(BaseCommand):
             'node__unit__grade__number', 'node__unit__order', 'node__order', 'id')
         if o['grade']:
             qs = qs.filter(node__unit__grade__number=o['grade'])
+        if o['subject']:
+            qs = qs.filter(node__unit__subject__title=o['subject'])
         if o['lesson']:
             qs = qs.filter(pk=o['lesson'])
         if not o['redo']:
@@ -179,7 +183,8 @@ class Command(BaseCommand):
                 return
             try:
                 items = _json_list(ask(PROMPT + spec, text))
-            except (ValueError, KeyError) as e:
+            # خطای شبکه/درگاه یک درس را رد می‌کند، نه کلِ اجرا را؛ در ledger ثبت نمی‌شود تا دفعه‌ی بعد دوباره برود.
+            except (ValueError, KeyError, openai.OpenAIError) as e:
                 with lock:
                     stats['invalid'] += 1
                 self.stderr.write(f'درس {lesson.id}: خروجیِ نامعتبر ({e}); ذخیره نشد.')
@@ -218,7 +223,7 @@ class Command(BaseCommand):
                     ok = {v.get('i'): v for v in verdicts if isinstance(v, dict)}
                     kept = [f for i, f in enumerate(figures) if ok.get(i, {}).get('ok') is True]
                     notes = [f"{i}: {v.get('why', '')}" for i, v in ok.items() if v.get('ok') is not True]
-                except (ValueError, KeyError, AttributeError) as e:
+                except (ValueError, KeyError, AttributeError, openai.OpenAIError) as e:
                     kept, notes = [], [f'وارسی ناموفق: {e}']
             with lock:
                 stats['rejected'] += len(figures) - len(kept)