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@@ -0,0 +1,407 @@
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# +======================================================================
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# | DjangoAdmin 企业数字化开发平台 [ 赋能开发者,助力企业发展 ]
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# +----------------------------------------------------------------------
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# | Copyright (c) 2021-2026 小蚂蚁云团队 版权所有
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# +----------------------------------------------------------------------
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# | 开源协议: Apache-2.0
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# | 重要声明: 未经书面许可,不得移除或修改本框架相关版权标识。
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# +----------------------------------------------------------------------
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# | 官方网站: https://www.djangoadmin.cn
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# +----------------------------------------------------------------------
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# | 研发团队: 小蚂蚁云团队 荣誉出品
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# +======================================================================
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# | 版权和免责声明:
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# | 一、知识产权声明
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# | 本团队对该软件框架产品(以下简称“本产品”)拥有完整知识产权,包括但不限于商标权、专利权、
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# | 著作权、商业秘密等。前述权利均受中华人民共和国及相关国际法律法规保护。未经本团队书面授权,
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# | 任何个人或单位不得基于本产品本身申请任何形式的知识产权。
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# | 二、使用限制与禁止条款
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# | 您理解并同意,禁止将本产品用于以下任何行为:
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# | 1. 任何违反中华人民共和国法律法规的用途;
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# | 2. 任何侵害他人合法权益(包括但不限于人身权、财产权、知识产权等)的行为;
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# | 3. 任何危害国家安全、公共利益及社会道德风尚的行为。
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# | 三、责任豁免
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# | 因使用本产品而产生的任何损失或法律纠纷(包括但不限于直接损失、间接损失、附带损失、衍生损失
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# | 以及因违约、侵权等引发的责任),本团队均不承担任何法律责任。若因违规使用本产品导致任何第三
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# | 方提起索赔或行政机关进行调查,您应独立承担全部责任。
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# | 四、违约与法律责任
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# | 如发现任何违反本声明的行为,本团队有权:
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# | 1. 无条件配合公安机关及其他有权机关的调查取证工作;
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# | 2. 依法追究相关方的民事责任,并要求赔偿全部损失;
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# | 3. 保留进一步采取刑事控告等法律措施的权利。
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# | 五、许可范围说明
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# | 1、被授权方应视本产品源代码为核心机密信息,负有最高标准的保密与保管义务。禁止以任何形式(包
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# | 括但不限于直接或间接的分享、复制、传播、分发、转售、出租、开源、反向工程、反编译、反汇编或通
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# | 过网络服务提供给任何第三方)泄露、披露或处置源代码的全部或部分内容。任何未经授权的复制、使用、
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# | 传播行为均构成对本团队知识产权的严重侵权,本团队有权依法追究其全部法律责任,并要求赔偿因此造
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# | 成的一切经济损失及商誉损害。
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# | 2、本产品仅限于公司或个人在法律允许范围内,用于内部且合规的软件产品研发。具体权利义务以《软件
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# | 许可协议》附件为准。
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# +======================================================================
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"""
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数据库表结构查询服务模块
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=============================================================
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该模块实现了数据库表结构查询相关的业务逻辑。
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包括表的分页查询、详情查询等功能,用于代码生成器等场景。
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通过查询 information_schema 数据库获取表的元数据信息。
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"""
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import logging
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from django.core.paginator import Paginator, PageNotAnInteger, InvalidPage, EmptyPage
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from django.db import connection
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from constant.constants import PAGE_SIZE
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from generator import generate_config_from_table
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from generator_config import CodeGenerator
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from utils import R
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from utils.common import format_datetime
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# =============================================================
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# 分页查询服务
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# =============================================================
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def get_table_page(request):
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"""
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查询数据库表分页数据
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Args:
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request: HttpRequest对象,包含查询参数
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- pageNo: 当前页码(可选,默认为1)
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- pageSize: 每页记录数(可选,默认为PAGE_SIZE)
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- tableName: 表名(可选,模糊查询)
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- tableComment: 表注释(可选,模糊查询)
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Returns:
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R: 包含分页数据的JSON响应
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"""
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try:
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# 获取分页参数
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page_no = int(request.GET.get('pageNo', 1))
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page_size = int(request.GET.get('pageSize', PAGE_SIZE))
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# 获取筛选条件
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table_name = request.GET.get('tableName', '')
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table_comment = request.GET.get('tableComment', '')
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# 执行SQL查询,获取所有符合条件的表
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tables = _query_tables(table_name, table_comment)
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# 分页处理
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page_data = _paginate_tables(tables, page_no, page_size)
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return R.ok(data=page_data)
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except Exception as e:
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logging.error(f"查询数据库表分页数据异常: {str(e)}")
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return R.failed(msg="查询失败,请稍后重试")
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def _query_tables(table_name='', table_comment=''):
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"""
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查询数据库表信息(私有辅助函数)
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Args:
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table_name: 表名模糊查询条件
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table_comment: 表注释模糊查询条件
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Returns:
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list: 表信息列表
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"""
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# 构建基础SQL查询语句
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# information_schema.TABLES 中的字段名都是大写
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sql = """
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SELECT
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TABLE_NAME,
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TABLE_COMMENT,
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ENGINE,
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TABLE_ROWS,
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DATA_LENGTH,
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AUTO_INCREMENT,
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TABLE_COLLATION,
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CREATE_TIME,
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UPDATE_TIME
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FROM
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information_schema.TABLES
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WHERE
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TABLE_SCHEMA = (SELECT DATABASE())
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AND TABLE_NAME NOT LIKE 'auth_%%'
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AND TABLE_NAME NOT LIKE 'captcha_%%'
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AND TABLE_NAME NOT LIKE '%%_migrations'
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AND TABLE_NAME NOT LIKE '%%_session'
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AND TABLE_NAME NOT LIKE '%%_content_type'
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"""
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params = []
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# 添加表名模糊查询条件
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if table_name:
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sql += " AND TABLE_NAME LIKE %s"
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params.append(f"%{table_name}%")
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# 添加表注释模糊查询条件
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if table_comment:
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sql += " AND TABLE_COMMENT LIKE %s"
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params.append(f"%{table_comment}%")
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# 按表名排序
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sql += " ORDER BY TABLE_NAME"
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# 执行SQL查询
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tables = []
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with connection.cursor() as cursor:
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cursor.execute(sql, params)
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columns = [col[0] for col in cursor.description]
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rows = cursor.fetchall()
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for row in rows:
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row_dict = dict(zip(columns, row))
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# 处理自增索引值:如果 AUTO_INCREMENT 为空但 TABLE_ROWS 有值,则设置为 TABLE_ROWS + 1
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if row_dict.get('AUTO_INCREMENT') is None and row_dict.get('TABLE_ROWS'):
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row_dict['AUTO_INCREMENT'] = row_dict['TABLE_ROWS'] + 1
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# 格式化时间字段
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if row_dict.get('CREATE_TIME'):
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row_dict['CREATE_TIME'] = format_datetime(row_dict['CREATE_TIME'])
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if row_dict.get('UPDATE_TIME'):
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row_dict['UPDATE_TIME'] = format_datetime(row_dict['UPDATE_TIME'])
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tables.append(row_dict)
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return tables
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def _paginate_tables(tables, page_no, page_size):
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"""
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对表列表进行分页处理(私有辅助函数)
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Args:
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tables: 表信息列表
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page_no: 当前页码
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page_size: 每页大小
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Returns:
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dict: 标准格式的分页数据
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"""
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paginator = Paginator(tables, page_size)
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try:
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page_list = paginator.page(page_no)
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except (PageNotAnInteger, InvalidPage, EmptyPage):
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page_list = paginator.page(1)
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page_no = 1
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records = []
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for item in page_list:
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records.append({
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'tableName': item.get('TABLE_NAME', ''),
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'tableComment': item.get('TABLE_COMMENT', ''),
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'engine': item.get('ENGINE', ''),
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'tableRows': item.get('TABLE_ROWS', 0),
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'dataLength': item.get('DATA_LENGTH', 0),
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'autoIncrement': item.get('AUTO_INCREMENT'),
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'tableCollation': item.get('TABLE_COLLATION', ''),
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'createTime': item.get('CREATE_TIME'),
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'updateTime': item.get('UPDATE_TIME') if item.get('UPDATE_TIME') else None,
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})
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return {
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'records': records,
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'total': paginator.count, # 总记录数
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'size': page_size, # 每页大小
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'current': page_no, # 当前页码
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'pages': paginator.num_pages # 总页数
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}
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# =============================================================
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# 详情查询服务
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# =============================================================
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def get_table_detail(table_name):
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"""
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根据表名查询表详情
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Args:
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table_name: 表名
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Returns:
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dict/None: 表详情字典,不存在时返回None
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"""
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try:
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if not table_name:
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return None
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# 构建SQL查询语句
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sql = """
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SELECT
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TABLE_NAME,
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TABLE_COMMENT,
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ENGINE,
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TABLE_ROWS,
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DATA_LENGTH,
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AUTO_INCREMENT,
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TABLE_COLLATION,
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CREATE_TIME,
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UPDATE_TIME
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FROM
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information_schema.TABLES
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WHERE
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TABLE_SCHEMA = (SELECT DATABASE())
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AND TABLE_NAME = %s
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"""
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with connection.cursor() as cursor:
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cursor.execute(sql, [table_name])
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columns = [col[0] for col in cursor.description]
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row = cursor.fetchone()
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if not row:
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return None
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row_dict = dict(zip(columns, row))
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# 处理自增索引值
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if row_dict.get('AUTO_INCREMENT') is None and row_dict.get('TABLE_ROWS'):
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row_dict['AUTO_INCREMENT'] = row_dict['TABLE_ROWS'] + 1
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# 构建返回数据
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result = {
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'tableName': row_dict.get('TABLE_NAME', ''),
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'tableComment': row_dict.get('TABLE_COMMENT', ''),
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'engine': row_dict.get('ENGINE', ''),
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'tableRows': row_dict.get('TABLE_ROWS', 0),
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'dataLength': row_dict.get('DATA_LENGTH', 0),
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'autoIncrement': row_dict.get('AUTO_INCREMENT'),
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'tableCollation': row_dict.get('TABLE_COLLATION', ''),
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'createTime': format_datetime(row_dict.get('CREATE_TIME')),
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'updateTime': format_datetime(row_dict.get('UPDATE_TIME')),
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}
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return result
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except Exception as e:
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logging.error(f"查询表详情异常,表名: {table_name}, 错误: {str(e)}")
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return None
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# =============================================================
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# 表字段查询服务
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# =============================================================
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def get_table_columns(table_name):
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"""
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获取表的字段信息
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Args:
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table_name: 表名
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Returns:
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list: 字段信息列表
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"""
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try:
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if not table_name:
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return []
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# 构建SQL查询语句
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sql = """
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SELECT
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COLUMN_NAME,
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COLUMN_COMMENT,
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DATA_TYPE,
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COLUMN_TYPE,
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IS_NULLABLE,
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COLUMN_DEFAULT,
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EXTRA
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FROM
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information_schema.COLUMNS
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WHERE
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TABLE_SCHEMA = (SELECT DATABASE())
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AND TABLE_NAME = %s
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ORDER BY
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ORDINAL_POSITION
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"""
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columns = []
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with connection.cursor() as cursor:
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cursor.execute(sql, [table_name])
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col_columns = [col[0] for col in cursor.description]
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rows = cursor.fetchall()
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for row in rows:
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row_dict = dict(zip(col_columns, row))
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columns.append({
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'columnName': row_dict.get('COLUMN_NAME', ''),
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'columnComment': row_dict.get('COLUMN_COMMENT', ''),
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'dataType': row_dict.get('DATA_TYPE', ''),
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'columnType': row_dict.get('COLUMN_TYPE', ''),
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'isNullable': row_dict.get('IS_NULLABLE', ''),
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'columnDefault': row_dict.get('COLUMN_DEFAULT'),
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'extra': row_dict.get('EXTRA', ''),
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})
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return columns
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except Exception as e:
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logging.error(f"查询表字段信息异常,表名: {table_name}, 错误: {str(e)}")
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return []
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# =============================================================
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# 代码生成服务
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# =============================================================
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def generate_tables(table_names):
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"""
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统一的代码生成服务方法
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支持单个或多个表的代码生成,自动解析管道分隔格式。
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Args:
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table_names (list): 表名列表,支持三种格式
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格式1(管道分隔): ["django_article|文章管理表", "django_user|用户表"]
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格式2(纯表名): ["django_article", "django_user"]
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格式3(混合): ["django_article|文章管理表", "django_user"]
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Returns:
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R: 包含生成结果的JSON响应
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"""
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for item in table_names:
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# 解析表名和注释
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if isinstance(item, str):
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item = item.strip()
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if '|' in item:
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parts = item.split('|', 1)
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table_name = parts[0].strip()
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table_comment = parts[1].strip() if len(parts) > 1 else ''
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else:
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table_name = item
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table_comment = ''
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elif isinstance(item, dict):
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table_name = item.get('name', '').strip()
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table_comment = item.get('comment', '').strip()
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# 执行单表生成
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try:
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# 解析表结构生成配置
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config = generate_config_from_table(table_name)
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if not config:
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return R.failed(msg="配置不能为空")
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# 处理表注释
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if table_comment:
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module_comment = table_comment.replace('表', '').strip()
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config['module_comment'] = module_comment
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config['business_description'] = f'标识系统中的{module_comment}数据'
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config['business_description_detail'] = f'每个{module_comment}包含相关属性'
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# 创建代码生成器并执行
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generator = CodeGenerator(config)
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generator.generate(auto=True)
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except Exception as e:
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logging.error(f"生成表 {table_name} 代码失败: {str(e)}")
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return R.ok(msg=f'本次共计生成{len(table_names)}个模块')
|
||||
Reference in New Issue
Block a user