mirror of
https://github.com/RYDE-WORK/Langchain-Chatchat.git
synced 2026-01-25 00:05:58 +08:00
d63bf0bda5
* feat:提交前端代码 * feat:提交logo样式切换 * feat:替换avatar、部分位置icon、chatchat相关说明、git链接、Wiki链接、关于、设置、反馈与建议等功能，关闭lobehub自检更新功能 * fix:移除多余代码 --------- Co-authored-by: liunux4odoo <41217877+liunux4odoo@users.noreply.github.com>
95 lines
3.1 KiB
Python
95 lines
3.1 KiB
Python
import multiprocessing as mp
|
||
from multiprocessing import Process
|
||
from typing import List
|
||
|
||
from loom_core.constants import LOOM_LOG_BACKUP_COUNT, LOOM_LOG_MAX_BYTES
|
||
from loom_core.openai_plugins.core.adapter import ProcessesInfo
|
||
from loom_core.openai_plugins.core.application import ApplicationAdapter
|
||
|
||
import os
|
||
import sys
|
||
import logging
|
||
|
||
from loom_core.openai_plugins.deploy.utils import get_timestamp_ms, get_config_dict, get_log_file
|
||
from omegaconf import OmegaConf
|
||
|
||
logger = logging.getLogger(__name__)
|
||
# 为了能使用插件中的函数，需要将当前目录加入到sys.path中
|
||
root_dir = os.path.dirname(os.path.abspath(__file__))
|
||
sys.path.append(root_dir)
|
||
import imitater_process_dict
|
||
from imitater_config import ImitaterCfg
|
||
from imitater_wrapper import run_imitater
|
||
|
||
|
||
class ImitaterApplicationAdapter(ApplicationAdapter):
|
||
model_worker_started: mp.Event = None
|
||
|
||
def __init__(self, cfg=None, state_dict: dict = None):
|
||
self.processesInfo = None
|
||
self._cfg = ImitaterCfg(cfg=cfg)
|
||
super().__init__(state_dict=state_dict)
|
||
|
||
def class_name(self) -> str:
|
||
"""Get class name."""
|
||
return self.__name__
|
||
|
||
@classmethod
|
||
def from_config(cls, cfg=None):
|
||
_state_dict = {
|
||
"application_name": "Imitate",
|
||
"application_version": "0.0.1",
|
||
"application_description": "Imitate application",
|
||
"application_author": "Imitate"
|
||
}
|
||
state_dict = cfg.get("state_dict", {})
|
||
if state_dict is not None and _state_dict is not None:
|
||
_state_dict = {**state_dict, **_state_dict}
|
||
else:
|
||
# 处理其中一个或两者都为 None 的情况
|
||
_state_dict = state_dict or _state_dict or {}
|
||
return cls(cfg=cfg, state_dict=_state_dict)
|
||
|
||
def init_processes(self, processesInfo: ProcessesInfo):
|
||
|
||
self.processesInfo = processesInfo
|
||
|
||
logging_conf = get_config_dict(
|
||
processesInfo.log_level,
|
||
get_log_file(log_path=self._cfg.get_cfg().get("logdir"), sub_dir=f"local_{get_timestamp_ms()}"),
|
||
LOOM_LOG_BACKUP_COUNT,
|
||
LOOM_LOG_MAX_BYTES,
|
||
)
|
||
logging.config.dictConfig(logging_conf) # type: ignore
|
||
worker_name = self._cfg.get_cfg().get("worker_name", [])
|
||
imitater_process_dict.mp_manager = mp.Manager()
|
||
|
||
# prevent re-init cuda error.
|
||
mp.set_start_method(method="spawn", force=True)
|
||
|
||
self.model_worker_started = imitater_process_dict.mp_manager.Event()
|
||
|
||
process = Process(
|
||
target=run_imitater,
|
||
name=f"model_worker - {worker_name}",
|
||
kwargs=dict(cfg=self._cfg,
|
||
worker_name=worker_name,
|
||
started_event=self.model_worker_started,
|
||
logging_conf=logging_conf),
|
||
daemon=True,
|
||
)
|
||
imitater_process_dict.processes[worker_name] = process
|
||
|
||
def start(self):
|
||
|
||
for n, p in imitater_process_dict.processes.items():
|
||
p.start()
|
||
p.name = f"{p.name} ({p.pid})"
|
||
|
||
# 等待 model_worker启动完成
|
||
# self.model_worker_started.wait()
|
||
|
||
def stop(self):
|
||
imitater_process_dict.stop()
|
||
|