#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time    : 2023/4/9 9:18
# @Author  : old tom
# @File    : relation_analyze.py
# @Project : futool-tiny-datahub
# @Desc    : 血缘关系分析

from sqllineage.runner import LineageRunner

from datahub.graph.graph_helper import MetaDataGraphBuilder
from datahub.local_db_conf import graph

from datahub.metadata.metadata_warehouse import MetadataWareHouse
from datahub.metadata.constant.metadata_constant import MetaDataObjType


class MetadataRelationAnalyzer(object):
    """
    元数据关系分析
    流程：从元数据存储读取视图-->分析视图（递归）-->视图与表关联关系-->存入Neo4j
    """

    def __init__(self, source_id):
        self.source_id = source_id
        self.warehouse = MetadataWareHouse(source_id)
        self.graph_builder = MetaDataGraphBuilder(graph)

    def analyze(self):
        """
        读取视图、存储过程
        以视图为例：
        视图数据来自多表，即source:[t1,t2,t3] dest:视图。根据结果创建出Node(节点)和RelationShip(关系),并且为单项
        :return:
        """
        views = self.warehouse.query_metadata_id_name(MetaDataObjType.View.value)
        if views and len(views) > 0:
            # 查询创建语句
            for v in views:
                create_sql = self.warehouse.query_view_create(v[0])
                # 分析SQL
                try:
                    analyze_result = LineageRunner(create_sql)
                except Exception as e:
                    print(f'视图{v[1]}分析SQL异常,e={e}')
                    continue
                # 数据来源
                try:
                    source_obj = analyze_result.source_tables
                except Exception as e:
                    print(f'获取数据来源表异常,e={e}')
                    continue
                else:
                    # 确认数据来源类型，来自表、视图
                    # 表名全大写
                    source = []
                    for s in source_obj:
                        source_name = str(s).split(sep='.')[1].upper()
                        source_type = self.warehouse.query_metadata_type_by_name(source_name)
                        #               名称          类型
                        source.append((source_name, source_type))
                    # 创建节点及关系
                    self.graph_builder.add_view_relation(source, v[1])
        pass

    def analyze_view(self):
        """
        分析视图
        :return:
        """
        pass

    def analyze_procedure(self):
        """
        分析存储过程
        :return:
        """
        pass


if __name__ == '__main__':
    # graph.delete_all()
    mta = MetadataRelationAnalyzer('834164a2d62de959c0261e6239dd1e55')
    mta.analyze()