feat: 完成T-303 AI批量生成
- 新增 generate_batch,先并发生成标题再并发生成封面,成功逐条 set_generated 落库 - Tab② 接入开始生成、停止、进度展示和双击新旧封面预览 - 新增 GenerateWorker,通过 worker signal 回传进度与行刷新 - 补充批量生成成功、失败、停止取消和 GUI worker 单元测试 - 同步任务看板、API、路由、当前状态与 progress 文档
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@@ -1,6 +1,7 @@
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"""AI generation helpers backed by configurable HTTP model endpoints."""
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import base64
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from concurrent.futures import CancelledError, ThreadPoolExecutor, as_completed
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import copy
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import json
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import mimetypes
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@@ -10,7 +11,9 @@ import urllib.error
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import urllib.request
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import uuid
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from . import appconfig
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from . import appconfig, db
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from . import prompts as prompt_module
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from .config import make_slug
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class AIError(RuntimeError):
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@@ -105,6 +108,144 @@ def gen_cover(
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return _save_jpeg(image_bytes, out_path, resolution, quality)
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def generate_batch(tasks, prompts, ai_cfg=None, on_progress=None, should_stop=None):
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"""Generate titles first, then covers, and persist each successful task."""
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runtime = dict(ai_cfg or {})
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config = _runtime_config(runtime)
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generation_cfg = appconfig.ai_config(config)
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generation_cfg.update(
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{
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key: value
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for key, value in runtime.items()
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if key in {
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"title_concurrency",
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"image_concurrency",
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"retry",
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"jpg_quality",
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"resolution",
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}
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}
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)
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db_path = runtime.get("db_path")
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models_path = runtime.get("models_path", appconfig.AI_MODELS_PATH)
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image_root = runtime.get("image_dir") or appconfig.image_dir(config)
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account_by_alias = runtime.get("account_by_alias") or {}
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on_task_update = runtime.get("on_task_update")
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title_prompt = _prompt_value(prompts, "title")
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cover_prompt = _prompt_value(prompts, "cover")
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should_stop = should_stop or (lambda: False)
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eligible = [
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task for task in list(tasks)
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if getattr(task, "stage", None) == "collected"
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]
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summary = {
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"ok": True,
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"total": len(eligible),
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"title_done": 0,
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"cover_done": 0,
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"failed": 0,
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"cancelled": False,
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}
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_emit_generation_progress(on_progress, summary)
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title_results = {}
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with ThreadPoolExecutor(
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max_workers=max(1, int(generation_cfg.get("title_concurrency", 1)))
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) as executor:
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futures = {}
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for task in eligible:
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if should_stop():
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summary["cancelled"] = True
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break
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futures[
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executor.submit(
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gen_title,
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title_prompt,
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getattr(task, "old_title", "") or "",
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retry=generation_cfg.get("retry"),
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config=config,
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models_path=models_path,
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)
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] = task
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for future in as_completed(futures):
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task = futures[future]
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if should_stop():
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summary["cancelled"] = True
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_cancel_pending(futures)
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try:
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title_results[task.id] = future.result()
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summary["title_done"] += 1
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except CancelledError:
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summary["cancelled"] = True
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except Exception as exc:
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summary["failed"] += 1
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summary["ok"] = False
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_mark_generate_failed(task, exc, db_path, on_task_update)
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_emit_generation_progress(on_progress, summary)
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cover_tasks = [
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task for task in eligible
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if task.id in title_results
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]
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with ThreadPoolExecutor(
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max_workers=max(1, int(generation_cfg.get("image_concurrency", 1)))
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) as executor:
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futures = {}
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for task in cover_tasks:
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if should_stop():
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summary["cancelled"] = True
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break
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new_title = title_results[task.id]
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rendered_cover_prompt = prompt_module.render_prompt(
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cover_prompt,
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_prompt_context(task, new_title, account_by_alias),
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)
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futures[
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executor.submit(
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gen_cover,
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rendered_cover_prompt,
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getattr(task, "old_cover_path", "") or "",
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_new_cover_path(task, account_by_alias, image_root),
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resolution=generation_cfg.get("resolution"),
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jpg_quality=generation_cfg.get("jpg_quality"),
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retry=generation_cfg.get("retry"),
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config=config,
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models_path=models_path,
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)
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] = (task, new_title)
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for future in as_completed(futures):
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task, new_title = futures[future]
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if should_stop():
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summary["cancelled"] = True
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_cancel_pending(futures)
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try:
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new_cover_path = future.result()
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db.set_generated(task.id, new_title, new_cover_path, path=db_path)
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summary["cover_done"] += 1
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if on_task_update is not None:
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on_task_update(
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task.id,
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{
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"stage": "generated",
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"status": "success",
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"new_title": new_title,
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"new_cover_path": new_cover_path,
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},
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)
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except CancelledError:
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summary["cancelled"] = True
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except Exception as exc:
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summary["failed"] += 1
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summary["ok"] = False
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_mark_generate_failed(task, exc, db_path, on_task_update)
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_emit_generation_progress(on_progress, summary)
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if summary["cancelled"]:
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summary["ok"] = False
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return summary
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def _role_model(category, name, models_path):
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if not name:
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raise AIError("未配置默认 %s 模型" % category)
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@@ -123,6 +264,100 @@ def _role_model(category, name, models_path):
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return model
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def _runtime_config(runtime):
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if runtime.get("config") is not None:
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return runtime["config"]
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config = appconfig.load_config()
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ai_updates = {
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key: value
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for key, value in runtime.items()
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if key in {
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"default_text_model",
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"default_image_model",
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"title_concurrency",
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"image_concurrency",
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"retry",
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"jpg_quality",
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"resolution",
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"resolution_timeouts",
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}
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}
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if ai_updates:
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config = copy.deepcopy(config)
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config.setdefault("ai", {}).update(ai_updates)
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return config
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def _prompt_value(prompt_values, name):
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if isinstance(prompt_values, dict):
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return str(
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prompt_values.get(name)
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or prompt_values.get(f"{name}_prompt")
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or ""
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)
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return ""
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def _prompt_context(task, new_title, account_by_alias):
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return {
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"old_title": getattr(task, "old_title", ""),
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"new_title": new_title,
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"item_id": getattr(task, "item_id", ""),
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"account_name": _account_name(task, account_by_alias),
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"alias": getattr(task, "alias", ""),
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}
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def _account_name(task, account_by_alias):
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alias = str(getattr(task, "alias", "") or "").strip()
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account = account_by_alias.get(alias)
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if account is not None:
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return getattr(account, "account_name", "") or alias
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return getattr(task, "account_name", "") or alias
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def _new_cover_path(task, account_by_alias, image_root):
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alias = str(getattr(task, "alias", "") or "").strip()
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account = account_by_alias.get(alias)
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slug = getattr(account, "slug", None) if account is not None else None
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if not slug:
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slug = make_slug(alias or getattr(task, "account_name", "") or "unknown")
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return os.path.abspath(
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os.path.join(
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image_root,
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slug,
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"%s_new.jpg" % getattr(task, "item_id", ""),
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)
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)
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def _mark_generate_failed(task, exc, db_path, on_task_update):
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error = str(exc) or exc.__class__.__name__
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db.mark_failed(task.id, "generate", error, path=db_path)
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if on_task_update is not None:
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on_task_update(task.id, {"status": "failed", "last_error": error})
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def _cancel_pending(futures):
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for future in futures:
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if not future.done():
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future.cancel()
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def _emit_generation_progress(on_progress, summary):
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if on_progress is None:
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return
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payload = dict(summary)
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try:
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on_progress(payload)
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except TypeError:
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on_progress(
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payload.get("title_done", 0),
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payload.get("cover_done", 0),
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payload.get("failed", 0),
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)
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def _attempt_count(ai_cfg, retry):
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retry_count = ai_cfg.get("retry", 2) if retry is None else retry
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return max(1, int(retry_count) + 1)
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