db-autotest 0.0.6

DB Database test automation. This package allows to create database object structure and load data from database.

db-autotest

DB Database test automation. This python package allows to create database object structure and load data from database.

One further option is to print, save data as YAML file, another is to use retrieved object in data comparissons or new database object creation.

DB structure as object in Python

Better explanation is code example from c_m_table.py.

class C_M_Table(object):

    def __init__(self):

        # ==================================== m_table ===============================
        self.t_m_table = M_Entity(m_object_detail(), m_object_detail_r(), name='table')
        
        # ==================================== m_object ===============================
        self.t_m_object = M_Entity(m_object(), m_object_r(), name='object')

        self.r_m_object_table = M_Relation(self.t_m_object, self.t_m_table)
        self.s_m_object = M_Structure(self.t_m_object, M_StructureType.PARENT)

        # ==================================== m_column ===============================
        self.t_m_column = M_Entity(m_column(), m_column_r(), name='column')
        self.t_m_column.sortFunc = columnSortFunc.__get__(self.t_m_column)

        self.r_m_table_column = M_Relation(self.t_m_table, self.t_m_column)
        self.s_m_column = M_Structure(self.t_m_column, M_StructureType.CHILD)

        # ==================================== m_index ===============================
        self.t_m_index = M_Entity(m_object_detail(), m_object_detail_r(), name='index')

        self.r_m_table_index = M_Relation(self.t_m_table, self.t_m_index)
        self.r_m_table_index.parent_ids = [m_object_detail().m_object_id, m_object_detail().m_version_id]
        self.r_m_table_index.child_ids = [m_object_detail().idx_table_id, m_object_detail().m_version_id]
        self.s_m_index = M_Structure(self.t_m_index, M_StructureType.CHILD)

        # ==================================== m_idx_column ===============================
        self.t_m_idx_column = M_Entity(m_column(), m_column_r(), name='idx_column')
        self.t_m_idx_column.sortFunc = columnSortFunc.__get__(self.t_m_idx_column)

        self.r_m_idx_column = M_Relation(self.t_m_index, self.t_m_idx_column)
        self.s_m_idx_column = M_Structure(self.t_m_idx_column, M_StructureType.CHILD)        
        self.s_m_index.child.append([self.s_m_idx_column, self.r_m_idx_column])

        # ==================================== s_m_table ===============================
        self.s_m_table = M_Structure(self.t_m_table)
        self.s_m_table.parent.append([self.s_m_object, self.r_m_object_table])
        self.s_m_table.child.append([self.s_m_column, self.r_m_table_column])
        self.s_m_table.child.append([self.s_m_index, self.r_m_table_index])

        self.c_main = M_Class(self.s_m_table)


def columnSortFunc(self, e):
    return e[get_column_i(self, m_column().sort)]

    

Output as YAML file

Output can be saved as YAML file test.yaml

table: {'m_object_detail_id': 4, 'm_object_id': 4, 'm_version_id': 1, 'idx_table_id': None, 'm_unique': 0, 'status': 'VALID', 'enabled': 1, 'droped': 0}

table_nodes: [

  p_object: {'m_object_id': 4, 'schema': 'db', 'name': 'm_column', 'type': 'TABLE', 'create_date': 1703982912},
  c_column: {'m_column_id': 11, 'm_object_detail_id': 4, 'm_column_obj_id': 24, 'sort': 0, 'type': 'INTEGER'},
  c_column: {'m_column_id': 12, 'm_object_detail_id': 4, 'm_column_obj_id': 25, 'sort': 1, 'type': 'INTEGER'},
  c_column: {'m_column_id': 13, 'm_object_detail_id': 4, 'm_column_obj_id': 26, 'sort': 2, 'type': 'INTEGER'},
  c_column: {'m_column_id': 14, 'm_object_detail_id': 4, 'm_column_obj_id': 27, 'sort': 3, 'type': 'INTEGER'},
  c_column: {'m_column_id': 15, 'm_object_detail_id': 4, 'm_column_obj_id': 22, 'sort': 4, 'type': 'TEXT'},
  c_index: {'m_object_detail_id': 10, 'm_object_id': 10, 'm_version_id': 1, 'idx_table_id': 4, 'm_unique': 1, 'status': 'VALID', 'enabled': 1, 'droped': 0},
  c_index_nodes: [
    c_idx_column: {'m_column_id': 31, 'm_object_detail_id': 10, 'm_column_obj_id': 25, 'sort': 0, 'type': None},
    c_idx_column: {'m_column_id': 32, 'm_object_detail_id': 10, 'm_column_obj_id': 26, 'sort': 1, 'type': None},
    c_idx_column: {'m_column_id': 33, 'm_object_detail_id': 10, 'm_column_obj_id': 27, 'sort': 2, 'type': None}
  ],
  c_index: {'m_object_detail_id': 11, 'm_object_id': 11, 'm_version_id': 1, 'idx_table_id': 4, 'm_unique': 0, 'status': 'VALID', 'enabled': 1, 'droped': 0},
  c_index_nodes: [
    c_idx_column: {'m_column_id': 34, 'm_object_detail_id': 11, 'm_column_obj_id': 26, 'sort': 0, 'type': None}
  ]
]

More examples

More examples can be found in files c_m_table_names.py and test_names.yaml

Environment setup

Docs folder contains initial setup description and SQLite database for db metadata.