various fixes

api/app/core/config.py

@@ -1,6 +1,10 @@
 """
 统一配置：所有环境变量通过此模块的 Settings 单点读取。
 业务代码只允许 import settings，禁止散落 os.getenv() / load_dotenv()。
+
+本地开发时由 api/development.sh 在启动前将 .env.development 复制为 .env（若尚无 .env）。
+Docker / 服务端由镜像与 compose 注入进程环境；此处仅固定读取工作目录下的 .env 作为默认值来源。
+进程环境变量（容器 environment、export）覆盖 .env 同名项。
 """
 
 import secrets
@@ -54,10 +58,9 @@ class Settings(BaseSettings):
     tencent_sms_template_id: str = ""
     tencent_sms_template_param_count: int = 2
 
-    # ── Tencent ASR ──────────────────────────────────────────
+    # ── Tencent ASR / TTS（共用 Secret；与短信、COS 密钥独立）────────────────
     tencent_secret_id: str = ""
     tencent_secret_key: str = ""
-    tencent_asr_app_id: str = ""
 
     # ── TTS (openai | tencent)，与 ASR 独立：仅控制回复侧语音合成 ──
     enable_tts: bool = True
@@ -94,15 +97,11 @@ class Settings(BaseSettings):
     enable_test_subscription: int = 0
     enable_test_plan: str = ""  # "1" / "true" / "yes" 为 True
     enable_docs: bool = True
-    migration_database_url: str = ""  # 脚本迁移用，空则用 database_url
 
     # ── Memoir Image ─────────────────────────────────────────
     memoir_image_enabled: bool = False
-    memoir_image_max_per_chapter: int = 2
     memoir_image_poll_interval: int = 3
     memoir_image_max_attempts: int = 20
-    memoir_image_chars_per_extra: int = 1500
-    memoir_image_max_cap: int = 8
     memoir_image_provider: str = "liblib"
     memoir_image_style_default: str = "watercolor"
     memoir_image_size_default: str = "1280x720"

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

@@ -5,9 +5,6 @@ if TYPE_CHECKING:
     from app.core.config import Settings
 
 DEFAULT_LIBLIB_TEMPLATE_UUID = "5d7e67009b344550bc1aa6ccbfa1d7f4"
-DEFAULT_MAX_IMAGES_PER_CHAPTER = 2
-DEFAULT_CHARS_PER_EXTRA_IMAGE = 1500
-DEFAULT_MAX_IMAGES_CAP = 8
 DEFAULT_IMAGE_PROVIDER = "liblib"
 DEFAULT_IMAGE_STYLE = "watercolor"
 DEFAULT_IMAGE_SIZE = "1280x720"
@@ -18,9 +15,6 @@ DEFAULT_MAX_ATTEMPTS = 60
 @dataclass(frozen=True)
 class MemoirImageSettings:
     enabled: bool = False
-    max_per_chapter: int = DEFAULT_MAX_IMAGES_PER_CHAPTER
-    chars_per_extra_image: int = DEFAULT_CHARS_PER_EXTRA_IMAGE
-    max_images_cap: int = DEFAULT_MAX_IMAGES_CAP
     provider: str = DEFAULT_IMAGE_PROVIDER
     default_style: str = DEFAULT_IMAGE_STYLE
     default_size: str = DEFAULT_IMAGE_SIZE
@@ -33,9 +27,6 @@ class MemoirImageSettings:
         s = settings
         return cls(
             enabled=bool(s.memoir_image_enabled),
-            max_per_chapter=s.memoir_image_max_per_chapter,
-            chars_per_extra_image=s.memoir_image_chars_per_extra,
-            max_images_cap=s.memoir_image_max_cap,
             provider=s.memoir_image_provider or DEFAULT_IMAGE_PROVIDER,
             default_style=s.memoir_image_style_default or DEFAULT_IMAGE_STYLE,
             default_size=s.memoir_image_size_default or DEFAULT_IMAGE_SIZE,
@@ -49,15 +40,3 @@ class MemoirImageSettings:
         from app.core.config import settings as _s
 
         return cls.from_settings(_s)
-
-    def effective_max_images(self, content_length: int) -> int:
-        """根据正文字数动态计算单章允许的最大图片数。"""
-        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
-        )
-        return min(base_max + extra, effective_cap)

api/app/tasks/memoir_tasks.py

@@ -181,34 +181,6 @@ def _memoir_image_from_asset(
     )
 
 
-def _select_placeholders_for_effective_max(
-    placeholders: list[dict],
-    existing_images: list[dict] | None,
-    effective_max: int,
-) -> list[dict]:
-    existing_placeholders = {
-        item.get("placeholder")
-        for item in normalize_image_assets(existing_images)
-        if item.get("placeholder")
-    }
-    existing_count_in_content = sum(
-        1 for item in placeholders if item.get("placeholder") in existing_placeholders
-    )
-    remaining_new_slots = max(0, effective_max - existing_count_in_content)
-
-    selected: list[dict] = []
-    for item in placeholders:
-        if item.get("placeholder") in existing_placeholders:
-            selected.append(item)
-            continue
-        if remaining_new_slots <= 0:
-            continue
-        selected.append(item)
-        remaining_new_slots -= 1
-
-    return [{**item, "index": index} for index, item in enumerate(selected)]
-
-
 def _coerce_state(model: MemoirState) -> MemoirStateSchema:
     """将数据库模型转换为 Schema"""
     return MemoirStateSchema.model_validate(