添加AI图片功能
This commit is contained in:
xinzhu.yin
0
app/services/__init__.py
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0
app/services/__init__.py
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224
app/services/ai_image.py
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224
app/services/ai_image.py
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"""AI 图片生成服务：后端请求 + 本地缓存管理。
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API 端点待接入，当前通过 ``set_api_caller`` 注入具体实现。
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缓存目录：``settings/ai_image_cache/``，每张图片有同名的 ``.json`` 侧车记录。
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"""
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from __future__ import annotations
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import datetime as _dt
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import hashlib
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import json
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import os
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import shutil
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import threading
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from dataclasses import dataclass, asdict
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from typing import Callable, List, Optional
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# ---------- 常量 ----------
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_CACHE_DIRNAME = os.path.join("settings", "ai_image_cache")
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_META_SUFFIX = ".json"
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_SUPPORTED_IMG_EXT = (".png", ".jpg", ".jpeg", ".bmp", ".webp")
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# ---------- 数据结构 ----------
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@dataclass
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class AIImageRecord:
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"""一条缓存记录。"""
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id: str
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prompt: str
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image_path: str
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created_at: str # ISO8601
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extra: Optional[dict] = None
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def to_json(self) -> str:
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return json.dumps(asdict(self), ensure_ascii=False, indent=2)
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# ---------- API 注入 ----------
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# 调用签名: ``fn(prompt: str) -> (image_bytes: bytes, image_ext: str, extra: dict|None)``
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# ``image_ext`` 例如 ``".png"``；``extra`` 可为 None。
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_ApiCaller = Callable[[str], tuple]
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_api_caller: Optional[_ApiCaller] = None
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def set_api_caller(fn: Optional[_ApiCaller]) -> None:
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"""注入真实的后端 API 调用函数。在 API 就绪前可保持为 None。"""
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global _api_caller
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_api_caller = fn
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def has_api() -> bool:
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return _api_caller is not None
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# ---------- 缓存路径工具 ----------
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def get_cache_dir(base_dir: Optional[str] = None) -> str:
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"""返回缓存目录，如不存在则创建。``base_dir`` 默认使用当前工作目录。"""
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root = base_dir if base_dir else os.getcwd()
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path = os.path.join(root, _CACHE_DIRNAME)
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os.makedirs(path, exist_ok=True)
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return path
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def _make_id(prompt: str) -> str:
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stamp = _dt.datetime.now().strftime("%Y%m%d_%H%M%S_%f")
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digest = hashlib.md5(prompt.encode("utf-8")).hexdigest()[:8]
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return f"{stamp}_{digest}"
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def _meta_path_for(image_path: str) -> str:
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return os.path.splitext(image_path)[0] + _META_SUFFIX
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# ---------- 读写 ----------
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def list_records(base_dir: Optional[str] = None) -> List[AIImageRecord]:
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"""列出缓存目录下的所有记录，按创建时间倒序（最新在前）。"""
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cache_dir = get_cache_dir(base_dir)
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records: List[AIImageRecord] = []
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for name in os.listdir(cache_dir):
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full = os.path.join(cache_dir, name)
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if not (os.path.isfile(full) and name.lower().endswith(_SUPPORTED_IMG_EXT)):
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continue
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meta_path = _meta_path_for(full)
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prompt = ""
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created_at = ""
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extra = None
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rec_id = os.path.splitext(name)[0]
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if os.path.isfile(meta_path):
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try:
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with open(meta_path, "r", encoding="utf-8") as f:
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data = json.load(f)
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prompt = data.get("prompt", "")
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created_at = data.get("created_at", "")
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extra = data.get("extra")
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rec_id = data.get("id", rec_id)
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except Exception:
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pass
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if not created_at:
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# fallback 到文件 mtime
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try:
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mtime = os.path.getmtime(full)
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created_at = _dt.datetime.fromtimestamp(mtime).isoformat()
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except Exception:
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created_at = ""
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records.append(
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AIImageRecord(
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id=rec_id,
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prompt=prompt,
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image_path=full,
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created_at=created_at,
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extra=extra,
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)
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)
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records.sort(key=lambda r: r.created_at, reverse=True)
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return records
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def save_image_to_cache(
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prompt: str,
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image_bytes: bytes,
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image_ext: str = ".png",
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extra: Optional[dict] = None,
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base_dir: Optional[str] = None,
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) -> AIImageRecord:
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"""把生成的图片字节写入缓存，返回记录。"""
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if not image_ext.startswith("."):
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image_ext = "." + image_ext
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if image_ext.lower() not in _SUPPORTED_IMG_EXT:
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image_ext = ".png"
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cache_dir = get_cache_dir(base_dir)
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rec_id = _make_id(prompt)
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image_path = os.path.join(cache_dir, f"{rec_id}{image_ext}")
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with open(image_path, "wb") as f:
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f.write(image_bytes)
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record = AIImageRecord(
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id=rec_id,
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prompt=prompt,
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image_path=image_path,
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created_at=_dt.datetime.now().isoformat(timespec="seconds"),
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extra=extra,
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)
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try:
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with open(_meta_path_for(image_path), "w", encoding="utf-8") as f:
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f.write(record.to_json())
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except Exception:
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pass
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return record
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def delete_record(record: AIImageRecord) -> bool:
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"""删除一条缓存记录（图片 + 侧车）。返回是否成功。"""
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ok = True
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for p in (record.image_path, _meta_path_for(record.image_path)):
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try:
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if os.path.isfile(p):
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os.remove(p)
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except Exception:
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ok = False
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return ok
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def export_record(record: AIImageRecord, dest_path: str) -> None:
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"""把缓存中的图片另存到 ``dest_path``。"""
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shutil.copyfile(record.image_path, dest_path)
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# ---------- 异步请求 ----------
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def request_image_async(
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prompt: str,
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on_success: Callable[[AIImageRecord], None],
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on_error: Callable[[Exception], None],
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base_dir: Optional[str] = None,
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) -> threading.Thread:
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"""在后台线程请求 API → 写入缓存 → 回调。
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``on_success`` / ``on_error`` 会在 **工作线程** 中被调用；UI 侧若需
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切回主线程，请在回调内部自行用 ``root.after(0, ...)``。
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"""
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def _worker():
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try:
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if _api_caller is None:
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raise RuntimeError("AI 图片 API 尚未接入，请调用 set_api_caller 注入")
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image_bytes, image_ext, extra = _normalize_api_result(_api_caller(prompt))
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record = save_image_to_cache(
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prompt=prompt,
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image_bytes=image_bytes,
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image_ext=image_ext,
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extra=extra,
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base_dir=base_dir,
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)
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on_success(record)
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except Exception as exc:
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on_error(exc)
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t = threading.Thread(target=_worker, daemon=True)
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t.start()
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return t
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def _normalize_api_result(result):
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"""允许 API 返回 ``bytes`` 或 ``(bytes, ext)`` 或 ``(bytes, ext, extra)``。"""
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if isinstance(result, (bytes, bytearray)):
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return bytes(result), ".png", None
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if isinstance(result, tuple):
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if len(result) == 2:
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return bytes(result[0]), str(result[1]), None
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if len(result) == 3:
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return bytes(result[0]), str(result[1]), result[2]
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raise ValueError("API 返回格式不支持，需为 bytes 或 (bytes, ext[, extra])")
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app/views/panels/ai_image_panel.py
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app/views/panels/ai_image_panel.py
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"""AI 图片对话面板：输入提示 → 生成 → 显示 → 列表切换/保存/删除。"""
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from __future__ import annotations
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import os
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import tkinter as tk
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from tkinter import filedialog, messagebox
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from typing import List, Optional
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import ttkbootstrap as ttk
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from PIL import Image, ImageTk
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from app.services import ai_image as _svc
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# ---------------- 面板创建 ----------------
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def create_ai_image_panel(self):
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"""创建 AI 图片对话面板，并注册到面板管理。"""
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frame = ttk.Frame(self.content_frame)
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self.ai_image_frame = frame
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# 内部状态
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self.ai_image_records: List[_svc.AIImageRecord] = []
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self.ai_image_current: Optional[_svc.AIImageRecord] = None
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self.ai_image_photo = None # 防止 ImageTk.PhotoImage 被 GC
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self._ai_image_requesting = False
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container = ttk.Frame(frame, padding=10)
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container.pack(fill=tk.BOTH, expand=True)
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# 左列：图片列表
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left = ttk.Frame(container)
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left.pack(side=tk.LEFT, fill=tk.Y, padx=(0, 10))
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ttk.Label(left, text="历史图片", font=("微软雅黑", 10, "bold")).pack(
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anchor=tk.W, pady=(0, 4)
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)
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list_wrap = ttk.Frame(left)
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list_wrap.pack(fill=tk.Y, expand=False)
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scroll = ttk.Scrollbar(list_wrap, orient=tk.VERTICAL)
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self.ai_image_listbox = tk.Listbox(
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list_wrap,
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width=28,
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height=22,
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activestyle="dotbox",
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yscrollcommand=scroll.set,
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)
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scroll.config(command=self.ai_image_listbox.yview)
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self.ai_image_listbox.pack(side=tk.LEFT, fill=tk.Y)
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scroll.pack(side=tk.RIGHT, fill=tk.Y)
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self.ai_image_listbox.bind("<<ListboxSelect>>", lambda e: _on_list_select(self))
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btn_row = ttk.Frame(left)
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btn_row.pack(fill=tk.X, pady=(6, 0))
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ttk.Button(
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btn_row, text="保存", bootstyle="success-outline", width=8,
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command=lambda: _save_current(self),
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).pack(side=tk.LEFT, padx=(0, 4))
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ttk.Button(
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btn_row, text="删除", bootstyle="danger-outline", width=8,
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command=lambda: _delete_current(self),
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).pack(side=tk.LEFT, padx=(0, 4))
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ttk.Button(
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btn_row, text="刷新", bootstyle="secondary-outline", width=8,
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command=lambda: reload_ai_image_list(self),
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).pack(side=tk.LEFT)
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# 右列：预览 + 输入
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right = ttk.Frame(container)
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right.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)
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preview_frame = ttk.LabelFrame(right, text="图片预览", padding=6)
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preview_frame.pack(fill=tk.BOTH, expand=True)
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self.ai_image_canvas = tk.Canvas(
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preview_frame, bg="#1e1e1e", highlightthickness=0
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)
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self.ai_image_canvas.pack(fill=tk.BOTH, expand=True)
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self.ai_image_canvas.bind("<Configure>", lambda e: _redraw_preview(self))
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meta_row = ttk.Frame(right)
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meta_row.pack(fill=tk.X, pady=(4, 4))
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self.ai_image_meta_var = tk.StringVar(value="未选择图片")
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ttk.Label(
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meta_row, textvariable=self.ai_image_meta_var,
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foreground="#666", font=("微软雅黑", 9),
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).pack(side=tk.LEFT)
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# 输入区
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input_frame = ttk.LabelFrame(right, text="提示输入（Ctrl+Enter 发送）", padding=6)
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input_frame.pack(fill=tk.X, pady=(4, 0))
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self.ai_image_input = tk.Text(input_frame, height=3, wrap=tk.WORD)
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self.ai_image_input.pack(fill=tk.X, side=tk.TOP)
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self.ai_image_input.bind("<Control-Return>", lambda e: (_send_prompt(self), "break"))
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send_row = ttk.Frame(input_frame)
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send_row.pack(fill=tk.X, pady=(4, 0))
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self.ai_image_status_var = tk.StringVar(value="就绪")
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ttk.Label(
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send_row, textvariable=self.ai_image_status_var,
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foreground="#888", font=("微软雅黑", 9),
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).pack(side=tk.LEFT)
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self.ai_image_send_btn = ttk.Button(
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send_row, text="发送", bootstyle="primary", width=10,
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command=lambda: _send_prompt(self),
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)
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self.ai_image_send_btn.pack(side=tk.RIGHT)
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# 注册面板
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self.register_panel("ai_image", frame, None, "ai_image_visible")
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self.ai_image_visible = False
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# 初次加载缓存
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reload_ai_image_list(self)
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def toggle_ai_image_panel(self):
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"""切换 AI 图片面板显隐。"""
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self.show_panel("ai_image")
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# ---------------- 列表 / 选中 ----------------
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def reload_ai_image_list(self):
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"""重新扫描缓存并刷新列表。"""
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self.ai_image_records = _svc.list_records()
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self.ai_image_listbox.delete(0, tk.END)
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for rec in self.ai_image_records:
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label = _format_list_label(rec)
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self.ai_image_listbox.insert(tk.END, label)
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if self.ai_image_records:
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self.ai_image_listbox.selection_clear(0, tk.END)
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self.ai_image_listbox.selection_set(0)
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self.ai_image_listbox.activate(0)
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_select_record(self, self.ai_image_records[0])
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else:
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self.ai_image_current = None
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self.ai_image_photo = None
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self.ai_image_canvas.delete("all")
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self.ai_image_meta_var.set("暂无缓存图片")
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def _format_list_label(rec: _svc.AIImageRecord) -> str:
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when = (rec.created_at or "")[:19].replace("T", " ")
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preview = (rec.prompt or "(无提示)").strip().splitlines()[0]
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if len(preview) > 18:
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preview = preview[:18] + "…"
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return f"{when} {preview}" if when else preview
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def _on_list_select(self):
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sel = self.ai_image_listbox.curselection()
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if not sel:
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return
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idx = sel[0]
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if 0 <= idx < len(self.ai_image_records):
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_select_record(self, self.ai_image_records[idx])
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def _select_record(self, rec: _svc.AIImageRecord):
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self.ai_image_current = rec
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self.ai_image_meta_var.set(
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f"{os.path.basename(rec.image_path)} | {rec.created_at}"
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)
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_redraw_preview(self)
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# ---------------- 预览绘制 ----------------
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def _redraw_preview(self):
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rec = getattr(self, "ai_image_current", None)
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canvas = self.ai_image_canvas
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canvas.delete("all")
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if rec is None or not os.path.isfile(rec.image_path):
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return
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cw = canvas.winfo_width() or 1
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ch = canvas.winfo_height() or 1
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try:
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img = Image.open(rec.image_path)
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except Exception as exc:
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canvas.create_text(cw // 2, ch // 2, text=f"加载失败: {exc}", fill="#f66")
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return
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iw, ih = img.size
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scale = min(cw / iw, ch / ih, 1.0)
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nw, nh = max(1, int(iw * scale)), max(1, int(ih * scale))
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img_resized = img.resize((nw, nh), Image.LANCZOS)
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self.ai_image_photo = ImageTk.PhotoImage(img_resized)
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canvas.create_image(cw // 2, ch // 2, image=self.ai_image_photo, anchor="center")
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# ---------------- 发送 / 保存 / 删除 ----------------
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def _send_prompt(self):
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if getattr(self, "_ai_image_requesting", False):
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return
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prompt = self.ai_image_input.get("1.0", tk.END).strip()
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if not prompt:
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messagebox.showinfo("提示", "请输入内容")
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return
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if not _svc.has_api():
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messagebox.showerror(
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"API 未配置",
|
||||
"AI 图片 API 尚未接入。\n请在启动时通过 "
|
||||
"app.services.ai_image.set_api_caller(...) 注入真实实现。",
|
||||
)
|
||||
return
|
||||
|
||||
_set_requesting(self, True)
|
||||
self.ai_image_status_var.set("请求中…")
|
||||
|
||||
def _success(record):
|
||||
self.root.after(0, lambda: _on_request_done(self, record, None))
|
||||
|
||||
def _error(exc):
|
||||
self.root.after(0, lambda: _on_request_done(self, None, exc))
|
||||
|
||||
_svc.request_image_async(prompt, on_success=_success, on_error=_error)
|
||||
|
||||
|
||||
def _set_requesting(self, flag: bool):
|
||||
self._ai_image_requesting = flag
|
||||
try:
|
||||
self.ai_image_send_btn.configure(state=tk.DISABLED if flag else tk.NORMAL)
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
|
||||
def _on_request_done(self, record: Optional[_svc.AIImageRecord], exc: Optional[Exception]):
|
||||
_set_requesting(self, False)
|
||||
if exc is not None:
|
||||
self.ai_image_status_var.set(f"失败: {exc}")
|
||||
messagebox.showerror("生成失败", str(exc))
|
||||
return
|
||||
self.ai_image_status_var.set("完成")
|
||||
self.ai_image_input.delete("1.0", tk.END)
|
||||
reload_ai_image_list(self)
|
||||
# 定位到新生成项（最新在前）
|
||||
if record is not None and self.ai_image_records:
|
||||
for i, r in enumerate(self.ai_image_records):
|
||||
if r.id == record.id:
|
||||
self.ai_image_listbox.selection_clear(0, tk.END)
|
||||
self.ai_image_listbox.selection_set(i)
|
||||
self.ai_image_listbox.activate(i)
|
||||
_select_record(self, r)
|
||||
break
|
||||
|
||||
|
||||
def _save_current(self):
|
||||
rec = getattr(self, "ai_image_current", None)
|
||||
if rec is None:
|
||||
messagebox.showinfo("提示", "请先选择一张图片")
|
||||
return
|
||||
ext = os.path.splitext(rec.image_path)[1] or ".png"
|
||||
dest = filedialog.asksaveasfilename(
|
||||
title="另存为",
|
||||
defaultextension=ext,
|
||||
initialfile=os.path.basename(rec.image_path),
|
||||
filetypes=[("图片", "*.png;*.jpg;*.jpeg;*.bmp;*.webp"), ("所有文件", "*.*")],
|
||||
)
|
||||
if not dest:
|
||||
return
|
||||
try:
|
||||
_svc.export_record(rec, dest)
|
||||
messagebox.showinfo("成功", f"已保存到:\n{dest}")
|
||||
except Exception as exc:
|
||||
messagebox.showerror("保存失败", str(exc))
|
||||
|
||||
|
||||
def _delete_current(self):
|
||||
rec = getattr(self, "ai_image_current", None)
|
||||
if rec is None:
|
||||
messagebox.showinfo("提示", "请先选择一张图片")
|
||||
return
|
||||
if not messagebox.askyesno("确认删除", f"确定删除这张缓存图片吗？\n{os.path.basename(rec.image_path)}"):
|
||||
return
|
||||
_svc.delete_record(rec)
|
||||
reload_ai_image_list(self)
|
||||
@@ -425,12 +425,24 @@ def create_test_type_frame(self):
|
||||
)
|
||||
self.local_dimming_btn.pack(fill=tk.X, padx=0, pady=1)
|
||||
|
||||
# 注册面板按钮（只保留日志）
|
||||
# AI 图片对话按钮
|
||||
self.ai_image_btn = ttk.Button(
|
||||
self.sidebar_frame,
|
||||
text="AI 图片",
|
||||
style="Sidebar.TButton",
|
||||
command=self.toggle_ai_image_panel,
|
||||
takefocus=False,
|
||||
)
|
||||
self.ai_image_btn.pack(fill=tk.X, padx=0, pady=1)
|
||||
|
||||
# 注册面板按钮
|
||||
if hasattr(self, "panels"):
|
||||
if "log" in self.panels:
|
||||
self.panels["log"]["button"] = self.log_btn
|
||||
if "local_dimming" in self.panels:
|
||||
self.panels["local_dimming"]["button"] = self.local_dimming_btn
|
||||
if "ai_image" in self.panels:
|
||||
self.panels["ai_image"]["button"] = self.ai_image_btn
|
||||
|
||||
|
||||
def update_config_info_display(self):
|
||||
|
||||
@@ -22,6 +22,7 @@ from app.views.panels import custom_template_panel as _ctp
|
||||
from app.views.panels import side_panels as _sp
|
||||
from app.views.panels import cct_panel as _ccp
|
||||
from app.views.panels import main_layout as _main
|
||||
from app.views.panels import ai_image_panel as _aip
|
||||
from app.views import panel_manager as PM
|
||||
|
||||
# Step 0/1 重构：资源工具和纯算法已迁移到 app/ 包，这里重新导入以保持
|
||||
@@ -196,6 +197,8 @@ class PQAutomationApp:
|
||||
self.create_log_panel()
|
||||
# 创建 Local Dimming 面板
|
||||
self.create_local_dimming_panel()
|
||||
# 创建 AI 图片对话面板
|
||||
self.create_ai_image_panel()
|
||||
# 创建测试类型选择区域
|
||||
self.create_test_type_frame()
|
||||
# 创建操作按钮区域
|
||||
@@ -323,6 +326,11 @@ class PQAutomationApp:
|
||||
toggle_log_panel = _sp.toggle_log_panel
|
||||
update_sidebar_selection = _sp.update_sidebar_selection
|
||||
|
||||
# ---- AI 图片对话面板 ----
|
||||
create_ai_image_panel = _aip.create_ai_image_panel
|
||||
toggle_ai_image_panel = _aip.toggle_ai_image_panel
|
||||
reload_ai_image_list = _aip.reload_ai_image_list
|
||||
|
||||
# ---- 单步调试面板（统一实现，委托到 side_panels 模块） ----
|
||||
_toggle_debug_panel = _sp._toggle_debug_panel
|
||||
toggle_screen_debug_panel = _sp.toggle_screen_debug_panel
|
||||
@@ -517,7 +525,7 @@ class PQAutomationApp:
|
||||
def change_test_type(self, test_type):
|
||||
"""切换测试类型"""
|
||||
# 切换测试类型时，自动隐藏日志面板和 Local Dimming 面板
|
||||
if self.current_panel in ("log", "local_dimming"):
|
||||
if self.current_panel in ("log", "local_dimming", "ai_image"):
|
||||
self.hide_all_panels()
|
||||
self._save_cct_params_before_test_type_switch()
|
||||
self._apply_current_test_type(test_type)
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
{
|
||||
"current_test_type": "sdr_movie",
|
||||
"current_test_type": "screen_module",
|
||||
"test_types": {
|
||||
"screen_module": {
|
||||
"name": "屏模组性能测试",
|
||||
|
||||
Reference in New Issue
Block a user