修复：CI 部署环境与 ref 错配、迁移碎片化、图片意图 source_span、章节物化脏版式、会话历史与本地语音不一致

新增：TTS 上传 COS 与分片、章节 reading_segments 物化与快照、markdown 清洗、会话消息 repository、语音 store 重构与相关测试

api/app/features/story/image_intent_extractor.py

@@ -12,7 +12,6 @@ from __future__ import annotations
 
 import re
 from dataclasses import dataclass
-from typing import Any
 
 
 @dataclass
@@ -21,7 +20,6 @@ class StoryImageIntentResult:
 
     caption: str
     prompt_brief: str
-    source_span: dict[str, Any] | None
     style_profile: str | None
 
 
@@ -59,36 +57,28 @@ def extract_primary_image_intent(
 
     优先从正文中选取最具画面感的段落；若正文过短或过于抽象，则使用 fallback。
     """
-    paragraphs: list[tuple[str, int, int]] = []  # (text, start, end)
+    paragraphs: list[str] = []
     if markdown and markdown.strip():
-        parts = re.split(r"\n\n+", markdown.strip())
-        offset = 0
-        for p in parts:
+        for p in re.split(r"\n\n+", markdown.strip()):
             t = p.strip()
             if t:
-                start = markdown.find(t, offset)
-                end = start + len(t)
-                paragraphs.append((t, start, end))
-                offset = end
+                paragraphs.append(t)
 
     best_caption = ""
     best_prompt_brief = ""
-    best_source_span: dict[str, Any] | None = None
     best_score = 0.0
 
-    for text, start, end in paragraphs:
+    for text in paragraphs:
         score = _score_paragraph(text)
         if score > best_score:
             best_score = score
             best_caption = (text[:80] + "…") if len(text) > 80 else text
             best_prompt_brief = text[:500].strip()
-            best_source_span = {"start": start, "end": end, "text_preview": text[:100]}
 
     if best_score >= 0.5:
         return StoryImageIntentResult(
             caption=best_caption,
             prompt_brief=best_prompt_brief,
-            source_span=best_source_span,
             style_profile=style_profile,
         )
 
@@ -110,6 +100,5 @@ def extract_primary_image_intent(
     return StoryImageIntentResult(
         caption=fallback_text[:80],
         prompt_brief=fallback_text,
-        source_span=None,
         style_profile=style_profile,
     )