add: AnySearch-Skill

This commit is contained in:
InfinityPacer
2026-06-21 07:39:39 +08:00
committed by jxxghp
parent e02cebe16c
commit 6b21abd547
18 changed files with 3023 additions and 116 deletions

View File

@@ -8,7 +8,11 @@ from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import Session
from app import schemas
from app.agent import ReplyMode, prompt_manager, agent_manager
from app.agent import ReplyMode, agent_manager
from app.agent.prompt.transfer_redo import (
build_batch_manual_redo_prompt,
build_manual_redo_prompt,
)
from app.chain.storage import StorageChain
from app.core.config import settings, global_vars
from app.core.event import eventmanager
@@ -37,86 +41,6 @@ def normalize_history_ids(history_ids: list[int]) -> list[int]:
return normalized_ids
def build_manual_redo_template_context(
history: TransferHistory,
) -> dict[str, int | str]:
"""仅负责把整理历史对象映射成 System Tasks 需要的模板变量。"""
src_fileitem = history.src_fileitem or {}
source_path = src_fileitem.get("path") if isinstance(src_fileitem, dict) else ""
source_path = source_path or history.src or ""
season_episode = f"{history.seasons or ''}{history.episodes or ''}".strip()
return {
"history_id": history.id,
"current_status": "success" if history.status else "failed",
"recognized_title": history.title or "unknown",
"media_type": history.type or "unknown",
"category": history.category or "unknown",
"year": history.year or "unknown",
"season_episode": season_episode or "unknown",
"source_path": source_path or "unknown",
"source_storage": history.src_storage or "local",
"destination_path": history.dest or "unknown",
"destination_storage": history.dest_storage or "unknown",
"transfer_mode": history.mode or "unknown",
"tmdbid": history.tmdbid or "none",
"doubanid": history.doubanid or "none",
"error_message": history.errmsg or "none",
}
def format_manual_redo_record_context(history: Any) -> str:
"""把单条整理记录格式化为批量任务可直接消费的上下文块。"""
context = build_manual_redo_template_context(history)
return "\n".join(
[
f"Record #{context['history_id']}:",
f"- Current status: {context['current_status']}",
f"- Current recognized title: {context['recognized_title']}",
f"- Media type: {context['media_type']}",
f"- Category: {context['category']}",
f"- Year: {context['year']}",
f"- Season/Episode: {context['season_episode']}",
f"- Source path: {context['source_path']}",
f"- Source storage: {context['source_storage']}",
f"- Destination path: {context['destination_path']}",
f"- Destination storage: {context['destination_storage']}",
f"- Transfer mode: {context['transfer_mode']}",
f"- Current TMDB ID: {context['tmdbid']}",
f"- Current Douban ID: {context['doubanid']}",
f"- Error message: {context['error_message']}",
]
)
def build_manual_redo_prompt(history: Any) -> str:
"""构建手动 AI 整理提示词。"""
return prompt_manager.render_system_task_message(
"manual_transfer_redo",
template_context=build_manual_redo_template_context(history),
)
def build_batch_manual_redo_template_context(
histories: list[Any],
) -> dict[str, int | str]:
"""仅负责把多条整理历史对象映射成批量 System Tasks 需要的模板变量。"""
return {
"history_ids_csv": ", ".join(str(history.id) for history in histories),
"history_count": len(histories),
"records_context": "\n\n".join(
format_manual_redo_record_context(history) for history in histories
),
}
def build_batch_manual_redo_prompt(histories: list[Any]) -> str:
"""构建批量手动 AI 整理提示词。"""
return prompt_manager.render_system_task_message(
"batch_manual_transfer_redo",
template_context=build_batch_manual_redo_template_context(histories),
)
def _start_ai_redo_task(history_id: int, prompt: str, progress_key: str):
"""在后台线程中启动单条 AI 重新整理任务,并通过 ProgressHelper 实时更新进度。"""
progress = ProgressHelper(progress_key)