# ===== PPT 自动生成 Agent 配置 =====

import os
from pathlib import Path

# 项目根目录
BASE_DIR = Path(__file__).resolve().parent

# 引擎路径（2026-08-24 选型：渲染=aura-ppt 主引擎；解析/搜图=ppt-master 辅助）
# 所有引擎优化只在项目内副本做，技能原版路径只读
AURA_ENGINE_PATH = Path(os.environ.get("AURA_ENGINE_PATH", BASE_DIR / "engine" / "aura-ppt"))
AURA_ENGINE_SCRIPT = AURA_ENGINE_PATH / "scripts" / "engine.py"
PPT_MASTER_PATH = Path(os.environ.get("PPT_MASTER_PATH", BASE_DIR / "engine" / "ppt-master"))

# 公司模板（--template 模式继承母版/Logo/页脚）
COMPANY_TEMPLATE = Path(os.environ.get("COMPANY_TEMPLATE", AURA_ENGINE_PATH / "assets" / "company-template.pptx"))
# 模板模式策略：always=始终用模板 / ja=仅日语生成用 / off=不用
COMPANY_TEMPLATE_MODE = os.environ.get("COMPANY_TEMPLATE_MODE", "ja")

# ===== 大模型接入（2026-08-25）=====
# backend: opencode=复用 opencode serve（零 Key） / openai=OpenAI 兼容接口(DeepSeek等) / off=关闭
LLM_BACKEND = os.environ.get("LLM_BACKEND", "opencode")
# opencode 模式（模型经基准测试选定：mimo-v2.5-free 结构化输出最快最稳，44s/大纲）
OPENCODE_SERVE = os.environ.get("OPENCODE_SERVE", "http://127.0.0.1:4096")
OPENCODE_SERVE_PORT = int(os.environ.get("OPENCODE_SERVE_PORT", "4096"))
OPENCODE_MODEL = os.environ.get("OPENCODE_MODEL", "opencode/mimo-v2.5-free")
# openai 兼容模式（DeepSeek: https://api.deepseek.com, model=deepseek-chat）
OPENAI_API_BASE = os.environ.get("OPENAI_API_BASE", "")
OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "")
OPENAI_MODEL = os.environ.get("OPENAI_MODEL", "deepseek-chat")
# LLM 调用超时（秒）
LLM_TIMEOUT = int(os.environ.get("LLM_TIMEOUT", "180"))

# 长文档两级规划（2026-08-26）：分段通读 → 汇总大纲
PLAN_CHUNK_CHARS = int(os.environ.get("PLAN_CHUNK_CHARS", "6000"))
PLAN_MAX_CHUNKS = int(os.environ.get("PLAN_MAX_CHUNKS", "8"))

# 生成任务输出根目录
PROJECTS_PATH = Path(os.environ.get("PROJECTS_PATH", BASE_DIR / "src" / "web" / "data" / "projects"))

# SQLite 数据库路径
DB_PATH = Path(os.environ.get("DB_PATH", BASE_DIR / "src" / "web" / "data" / "ppt.db"))

# Flask Session 密钥（环境变量注入，不进仓库）
SECRET_KEY = os.environ.get("SECRET_KEY", "ppt-agent-dev-secret-key-do-not-use-in-prod")

# 服务绑定
HOST = os.environ.get("HOST", "127.0.0.1")
PORT = int(os.environ.get("PORT", "5000"))
DEBUG = os.environ.get("FLASK_DEBUG", "0") == "1"

# 上传限制
MAX_UPLOAD_MB = 20
UPLOAD_DIR = BASE_DIR / "src" / "web" / "data" / "uploads"

# 文件类型白名单
ALLOWED_EXTENSIONS = {
    ".pdf": "pdf",
    ".docx": "doc",
    ".doc": "doc",
    ".xlsx": "excel",
    ".xlsm": "excel",
    ".pptx": "ppt",
    ".md": "markdown",
    ".txt": "text",
    ".html": "html",
    ".htm": "html",
}

# 枚举白名单
ALLOWED_SCENES = ("report", "training")
ALLOWED_COLORS = ("blue", "green", "purple", "orange", "gray")
ALLOWED_LANGS = ("zh", "ja")
ALLOWED_CANVAS = ("ppt169", "ppt43")
ALLOWED_IMAGE_STRATEGIES = ("web", "ai", "off")

# 配图策略（web 默认）
DEFAULT_IMAGE_STRATEGY = "web"

# 生成任务并发上限
MAX_CONCURRENT_GENERATION = 1

# ===== 网络搜图（2026-08-25）=====
# web=调用 ppt-master image_search.py（openverse/wikimedia 零配置）
# test=本地样例图通道（e2e 用，读 IMAGE_SEARCH_TEST_DIR）
# off=禁用配图
IMAGE_SEARCH_MODE = os.environ.get("IMAGE_SEARCH_MODE", "web")
IMAGE_SEARCH_TEST_DIR = os.environ.get("IMAGE_SEARCH_TEST_DIR", "")
IMAGE_SEARCH_TIMEOUT = int(os.environ.get("IMAGE_SEARCH_TIMEOUT", "90"))
MAX_IMAGE_SLIDES = int(os.environ.get("MAX_IMAGE_SLIDES", "4"))

# 引擎剧本目录（会话用）
GENERATION_SCRIPT = None