chore/ 删除无用文件

api/app/features/memoir/memoir_images/parser.py

@@ -82,7 +82,9 @@ def split_narrative_to_sections(narrative: str) -> list[dict[str, Any]]:
         content = narrative[start:end]
         if isinstance(content, str):
             content = content.strip()
-        sections.append({"content": content or "", "placeholder_info": placeholder_info})
+        sections.append(
+            {"content": content or "", "placeholder_info": placeholder_info}
+        )
     return sections
 
 

api/app/features/memoir/memoir_images/prompting.py

@@ -42,7 +42,9 @@ class MemoirImagePromptService:
         description: str,
         context_excerpt: str,
     ) -> dict[str, str]:
-        style = self.CATEGORY_STYLE_MAP.get(chapter_category, self.settings.default_style)
+        style = self.CATEGORY_STYLE_MAP.get(
+            chapter_category, self.settings.default_style
+        )
         prompt_context = f"{chapter_category}: {chapter_title}"
 
         llm_input = {
@@ -69,7 +71,9 @@ class MemoirImagePromptService:
                 raw_response = response.content
                 parsed = json.loads(extract_json_payload(raw_response))
                 return {
-                    "prompt": _ensure_style_in_prompt(parsed["prompt"], parsed.get("style", style)),
+                    "prompt": _ensure_style_in_prompt(
+                        parsed["prompt"], parsed.get("style", style)
+                    ),
                     "style": parsed.get("style", style),
                     "size": parsed.get("size", self.settings.default_size),
                     "prompt_context": prompt_context,
@@ -104,7 +108,9 @@ class MemoirImagePromptService:
         context_excerpt: str,
     ) -> dict[str, str]:
         """生成章节封面图的 image-generation prompt。"""
-        style = self.CATEGORY_STYLE_MAP.get(chapter_category, self.settings.default_style)
+        style = self.CATEGORY_STYLE_MAP.get(
+            chapter_category, self.settings.default_style
+        )
         prompt_context = f"{chapter_category}: {chapter_title}"
 
         llm_input = {
@@ -189,14 +195,18 @@ class MemoirImagePromptService:
         context_excerpt: str,
         style: str,
     ) -> str:
-        subject = self.CATEGORY_FALLBACK_SUBJECT_MAP.get(chapter_category, "memoir scene")
+        subject = self.CATEGORY_FALLBACK_SUBJECT_MAP.get(
+            chapter_category, "memoir scene"
+        )
         if _contains_cjk(description) or _contains_cjk(context_excerpt):
             return (
                 f"A {style} illustration of a {subject}, emotionally resonant, cinematic composition, "
                 "authentic everyday details, natural lighting, expressive environment, no text overlay."
             )
 
-        details = ". ".join(part.strip() for part in (description, context_excerpt) if part.strip())
+        details = ". ".join(
+            part.strip() for part in (description, context_excerpt) if part.strip()
+        )
         if not details:
             details = "A personal life story scene with authentic emotional detail"
         return (

api/app/features/memoir/memoir_images/provider.py

@@ -3,6 +3,7 @@ LiblibImageProvider 已迁至 app.adapters.image_gen.liblib_provider；
 此处仅 re-export，以便 memoir 与 tasks 的既有引用不中断。
 Feature 应通过 port ImageGenerator + get_image_generator() 使用图生能力。
 """
+
 from app.adapters.image_gen.liblib_provider import LiblibImageProvider  # noqa: F401
 
 __all__ = ["LiblibImageProvider"]

api/app/features/memoir/memoir_images/schema.py

@@ -13,7 +13,9 @@ VALID_IMAGE_STATUSES = {
     IMAGE_STATUS_FAILED,
 }
 
-_PLACEHOLDER_DESCRIPTION_RE = re.compile(r"\{\{\{\{IMAGE:(.*?)\}\}\}\}|\{\{IMAGE:(.*?)\}\}")
+_PLACEHOLDER_DESCRIPTION_RE = re.compile(
+    r"\{\{\{\{IMAGE:(.*?)\}\}\}\}|\{\{IMAGE:(.*?)\}\}"
+)
 
 
 def normalize_image_asset(asset: dict[str, Any] | None) -> dict[str, Any] | None:
@@ -21,9 +23,9 @@ def normalize_image_asset(asset: dict[str, Any] | None) -> dict[str, Any] | None
         return None
 
     placeholder = _as_non_empty_string(asset.get("placeholder"))
-    description = _as_non_empty_string(asset.get("description")) or _extract_description_from_placeholder(
-        placeholder
-    )
+    description = _as_non_empty_string(
+        asset.get("description")
+    ) or _extract_description_from_placeholder(placeholder)
     if not placeholder or not description:
         return None
 

api/app/features/memoir/memoir_images/serializers.py

@@ -1,6 +1,7 @@
 """
 MemoirImage 模型与 API 用 dict 的互转（与 schema.normalize_image_asset 字段一致）。
 """
+
 from datetime import datetime
 from typing import Any
 

api/app/features/memoir/memoir_images/settings.py

@@ -55,7 +55,9 @@ class MemoirImageSettings:
         base_max = max(self.max_per_chapter, 0)
         effective_cap = max(self.max_images_cap, base_max)
         safe_length = max(content_length, 0)
-        extra = safe_length // self.chars_per_extra_image if self.chars_per_extra_image > 0 else 0
+        extra = (
+            safe_length // self.chars_per_extra_image
+            if self.chars_per_extra_image > 0
+            else 0
+        )
         return min(base_max + extra, effective_cap)
-
-

api/app/features/memoir/memoir_images/storage.py

@@ -26,7 +26,9 @@ def normalize_cos_base_url(base_url: str, bucket: str, region: str) -> str:
     return candidate
 
 
-def normalize_cos_url(url: str | None, bucket: str, region: str, base_url: str | None = None) -> str | None:
+def normalize_cos_url(
+    url: str | None, bucket: str, region: str, base_url: str | None = None
+) -> str | None:
     if not url:
         return url
 
@@ -43,7 +45,11 @@ def normalize_cos_url(url: str | None, bucket: str, region: str, base_url: str |
         return url
 
     normalized_parsed = urlparse(normalized_base)
-    return urlunparse(parsed._replace(scheme=normalized_parsed.scheme, netloc=normalized_parsed.netloc))
+    return urlunparse(
+        parsed._replace(
+            scheme=normalized_parsed.scheme, netloc=normalized_parsed.netloc
+        )
+    )
 
 
 def resolve_image_storage_key(image: dict | None) -> str | None: