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MoviePilot/app/workflow/actions/transfer_file.py
2025-11-01 09:51:23 +08:00

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Python
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import copy
from pathlib import Path
from typing import Optional
from pydantic import Field
from app.workflow.actions import BaseAction
from app.core.config import global_vars
from app.db.transferhistory_oper import TransferHistoryOper
from app.schemas import ActionParams, ActionContext
from app.chain.storage import StorageChain
from app.chain.transfer import TransferChain
from app.log import logger
class TransferFileParams(ActionParams):
"""
整理文件参数
"""
# 来源
source: Optional[str] = Field(default="downloads", description="来源")
class TransferFileAction(BaseAction):
"""
整理文件
"""
def __init__(self, action_id: str):
super().__init__(action_id)
self._fileitems = []
self._has_error = False
@classmethod
@property
def name(cls) -> str: # noqa
return "整理文件"
@classmethod
@property
def description(cls) -> str: # noqa
return "整理队列中的文件"
@classmethod
@property
def data(cls) -> dict: # noqa
return TransferFileParams().model_dump()
@property
def success(self) -> bool:
return not self._has_error
def execute(self, workflow_id: int, params: dict, context: ActionContext) -> ActionContext:
"""
从 downloads / fileitems 中整理文件记录到fileitems
"""
def check_continue():
"""
检查是否继续整理文件
"""
if global_vars.is_workflow_stopped(workflow_id):
return False
return True
params = TransferFileParams(**params)
# 失败次数
_failed_count = 0
storagechain = StorageChain()
transferchain = TransferChain()
transferhis = TransferHistoryOper()
if params.source == "downloads":
# 从下载任务中整理文件
for download in context.downloads:
if global_vars.is_workflow_stopped(workflow_id):
break
if not download.completed:
logger.info(f"下载任务 {download.download_id} 未完成")
continue
# 检查缓存
cache_key = f"{download.download_id}"
if self.check_cache(workflow_id, cache_key):
logger.info(f"{download.path} 已整理过,跳过")
continue
fileitem = storagechain.get_file_item(storage="local", path=Path(download.path))
if not fileitem:
logger.info(f"文件 {download.path} 不存在")
continue
transferd = transferhis.get_by_src(fileitem.path, storage=fileitem.storage)
if transferd:
# 已经整理过的文件不再整理
continue
logger.info(f"开始整理文件 {download.path} ...")
state, errmsg = transferchain.do_transfer(fileitem, background=False)
if not state:
_failed_count += 1
logger.error(f"整理文件 {download.path} 失败: {errmsg}")
continue
logger.info(f"整理文件 {download.path} 完成")
self._fileitems.append(fileitem)
self.save_cache(workflow_id, cache_key)
else:
# 从 fileitems 中整理文件
for fileitem in copy.deepcopy(context.fileitems):
if not check_continue():
break
# 检查缓存
cache_key = f"{fileitem.path}"
if self.check_cache(workflow_id, cache_key):
logger.info(f"{fileitem.path} 已整理过,跳过")
continue
transferd = transferhis.get_by_src(fileitem.path, storage=fileitem.storage)
if transferd:
# 已经整理过的文件不再整理
continue
logger.info(f"开始整理文件 {fileitem.path} ...")
state, errmsg = transferchain.do_transfer(fileitem, background=False,
continue_callback=check_continue)
if not state:
_failed_count += 1
logger.error(f"整理文件 {fileitem.path} 失败: {errmsg}")
continue
logger.info(f"整理文件 {fileitem.path} 完成")
# 从 fileitems 中移除已整理的文件
context.fileitems.remove(fileitem)
self._fileitems.append(fileitem)
# 记录已整理的文件
self.save_cache(workflow_id, cache_key)
if self._fileitems:
context.fileitems.extend(self._fileitems)
elif _failed_count:
self._has_error = True
self.job_done(f"整理成功 {len(self._fileitems)} 个文件,失败 {_failed_count}")
return context