重构了main.html的主函数

重构了大量的页面的sidebar
优化了代码结构
This commit is contained in:
2026-02-02 09:22:52 +08:00
33 changed files with 5566 additions and 2383 deletions

View File

@@ -4,8 +4,12 @@
import os
import pymysql
import yaml
import logging
from flask import Blueprint, request, jsonify
# 获取模块 logger继承 main.py 的日志配置)
logger = logging.getLogger(__name__)
# 获取项目根目录 - 优先使用环境变量,否则从文件路径计算
MOUNT_BASE = os.environ.get('MOUNT_BASE', '/app/base')
PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
@@ -47,8 +51,6 @@ def generic_get_all(table_name, order_by='create_time DESC'):
def get_model_path_by_name(model_name):
"""根据模型名称查询模型路径(用于获取基座模型路径)"""
import logging
logger = logging.getLogger(__name__)
logger.info(f"[DEBUG get_model_path_by_name] 查询模型: {model_name}")
try:
@@ -165,6 +167,23 @@ def get_model_manage_by_id(id):
return jsonify({'code': 1, 'message': '模型不存在'})
@model_manage_bp.route('/name/<model_name>', methods=['GET'])
def get_model_manage_by_name(model_name):
"""根据名称获取模型"""
logger.info(f"[DEBUG] 按名称查询模型: {model_name}")
conn = get_db_connection()
cursor = conn.cursor()
cursor.execute("SELECT * FROM model_manage WHERE name = %s LIMIT 1", (model_name,))
model = cursor.fetchone()
cursor.close()
conn.close()
if model:
return jsonify({'code': 0, 'data': model})
return jsonify({'code': 1, 'message': '模型不存在'})
@model_manage_bp.route('', methods=['POST'])
def create_model_manage():
"""创建模型"""
@@ -575,25 +594,57 @@ def merge_model():
@model_manage_bp.route('/trained-models/<model_name>', methods=['DELETE'])
def delete_trained_model(model_name):
"""删除已训练模型从local_trained_models目录"""
"""删除已训练模型
type=merged: 删除合并模型local_trained_models目录
type=lora: 删除权重saves目录下的lora等权重文件
"""
import shutil
import logging
logger = logging.getLogger(__name__)
# 获取删除类型参数
delete_type = request.args.get('type', 'merged') # 默认删除合并模型
try:
# 删除 local_trained_models 目录下的模型
model_path = os.path.join(PROJECT_ROOT, 'local_trained_models', model_name)
if delete_type == 'lora':
# 删除权重:删除 saves 目录下的权重
saves_path = os.path.join(PROJECT_ROOT, 'saves')
train_methods = ['lora', 'full', 'qlora', 'dpo', 'cpt', 'prefix', 'adapter', 'peft']
if not os.path.exists(model_path):
return jsonify({'code': 1, 'message': f'模型不存在: {model_name}'})
deleted = False
for method in train_methods:
weight_path = os.path.join(saves_path, method, model_name)
if os.path.exists(weight_path):
shutil.rmtree(weight_path)
logger.info(f"[DELETE] 已删除权重: {weight_path}")
deleted = True
# 删除目录
shutil.rmtree(model_path)
logger.info(f"[DELETE] 已删除模型: {model_path}")
if not deleted:
# 也可能是老结构,直接在 saves 下的 model_name 目录
old_path = os.path.join(saves_path, model_name)
if os.path.exists(old_path):
shutil.rmtree(old_path)
logger.info(f"[DELETE] 已删除老结构权重: {old_path}")
deleted = True
return jsonify({'code': 0, 'message': '删除成功'})
if deleted:
return jsonify({'code': 0, 'message': '权重已删除'})
else:
return jsonify({'code': 1, 'message': f'权重不存在: {model_name}'})
else:
# 默认删除合并模型local_trained_models目录
model_path = os.path.join(PROJECT_ROOT, 'local_trained_models', model_name)
if not os.path.exists(model_path):
return jsonify({'code': 1, 'message': f'合并模型不存在: {model_name}'})
# 删除目录
shutil.rmtree(model_path)
logger.info(f"[DELETE] 已删除合并模型: {model_path}")
return jsonify({'code': 0, 'message': '合并模型已删除'})
except Exception as e:
logger.error(f"[DELETE] 删除模型失败: {str(e)}")
logger.error(f"[DELETE] 删除失败: {str(e)}")
return jsonify({'code': 1, 'message': f'删除失败: {str(e)}'})