db_create.py 7.8 KB

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  1. import plac
  2. import pandas as pd
  3. from sqlalchemy import create_engine, inspect
  4. from database import bcp_conn_params, conn_string
  5. import json
  6. from pathlib import Path
  7. from collections import namedtuple
  8. DbCreateConfig = namedtuple('DbCreateConfig', 'name csv_file clients filter source_dsn target_dsn stage_dir batch_dir')
  9. cfg = DbCreateConfig(**{
  10. 'name': 'CARLO',
  11. 'csv_file': 'CARLO.csv',
  12. 'clients': {'1': 'M und S Fahrzeughandel GmbH'},
  13. 'filter': ['01.01.2018', '01.01.2019'],
  14. 'source_dsn': {'user': 'sa', 'pass': 'Mffu3011#', 'server': 'GC-SERVER1\\GLOBALCUBE', 'database': 'DE0017', 'driver': 'mssql', 'schema': 'dbo'},
  15. 'target_dsn': {'user': 'sa', 'pass': 'Mffu3011#', 'server': 'GC-SERVER1\\GLOBALCUBE', 'database': 'CARLO2', 'driver': 'mssql', 'schema': 'import'},
  16. 'stage_dir': '..\\temp',
  17. 'batch_dir': '..\\batch'
  18. })
  19. @plac.pos('config_file', '', type=str)
  20. def create(config_file='dbtools\\OPTIMA.json'):
  21. cfg_import = json.load(open(config_file, 'r', encoding='ansi'))
  22. base_dir = Path(config_file).resolve().parent
  23. cfg_import['name'] = Path(config_file).stem
  24. if cfg_import['stage_dir'][:2] == '..':
  25. cfg_import['stage_dir'] = str(base_dir.joinpath(cfg_import['stage_dir']).resolve())
  26. if cfg_import['batch_dir'][:2] == '..':
  27. cfg_import['batch_dir'] = str(base_dir.joinpath(cfg_import['batch_dir']).resolve())
  28. cfg = DbCreateConfig(**cfg_import)
  29. df = pd.read_csv(str(base_dir) + "\\" + cfg.csv_file, sep=';', encoding='ansi')
  30. config = df[df['target'].notnull()]
  31. print(config.head())
  32. source_db = create_engine(conn_string(cfg.source_dsn))
  33. source_insp = inspect(source_db)
  34. source_tables = source_insp.get_table_names(schema=cfg.source_dsn['schema']) + source_insp.get_view_names(schema=cfg.source_dsn['schema'])
  35. source_tables_prefix = dict(enumerate(sorted(list(set([t.split('$')[0] for t in source_tables if '$' in t]))), 1))
  36. if len(source_tables_prefix) > 0:
  37. print(source_tables_prefix)
  38. else:
  39. q = source_db.execute('select name FROM sys.databases')
  40. print([x[0] for x in q.fetchall()])
  41. target_db = create_engine(conn_string(cfg.target_dsn))
  42. target_insp = inspect(target_db)
  43. target_tables = target_insp.get_table_names(schema=cfg.target_dsn['schema'])
  44. for index, current_table in config.iterrows():
  45. with open(cfg.batch_dir + "\\" + current_table['target'] + '.bat', 'w', encoding='cp850') as f:
  46. f.write('@echo off \n')
  47. f.write('rem ==' + current_table['target'] + '==\n')
  48. if not current_table['target'] in target_tables:
  49. f.write(f"echo Ziel-Tabelle '{current_table['target']}' existiert nicht!\n")
  50. print(f"Ziel-Tabelle '{current_table['target']}' existiert nicht!")
  51. continue
  52. f.write(f"del {cfg.stage_dir}\\{current_table['target']}*.* /Q /F >nul 2>nul \n")
  53. f.write(f"sqlcmd.exe {bcp_conn_params(cfg.target_dsn)} -p -Q \"TRUNCATE TABLE [{cfg.target_dsn['schema']}].[{current_table['target']}]\" \n")
  54. target_insp_cols = target_insp.get_columns(current_table['target'], schema=cfg.target_dsn['schema'])
  55. target_columns_list = [col['name'] for col in target_insp_cols]
  56. if 'CLIENT_DB' in target_columns_list:
  57. target_columns_list.remove('CLIENT_DB')
  58. target_columns_list.append('Client_DB')
  59. target_columns = set(target_columns_list)
  60. for client_db, prefix in cfg.clients.items():
  61. source_table = current_table['source'].format(prefix)
  62. if source_table not in source_tables:
  63. source_table2 = source_table
  64. if '.' in source_table2:
  65. source_table2 = source_table2.split('.')[-1]
  66. if '[' in source_table2:
  67. source_table2 = source_table2[1:-1]
  68. if source_table2 not in source_tables:
  69. f.write(f"echo Quell-Tabelle '{source_table}' existiert nicht!\n")
  70. print(f"Quell-Tabelle '{source_table}' existiert nicht!")
  71. continue
  72. source_insp_cols = source_insp.get_columns(source_table)
  73. if len(source_insp_cols) == 0:
  74. q = source_db.execute(f"SELECT COLUMN_NAME as name FROM information_schema.columns WHERE TABLE_NAME = '{source_table2}'")
  75. source_insp_cols = q.fetchall()
  76. source_columns = set([col['name'] for col in source_insp_cols])
  77. if not pd.isnull(current_table['query']):
  78. select_query = current_table['query'].format(prefix, cfg.filter[0], cfg.filter[1])
  79. elif '.' in source_table:
  80. select_query = f"SELECT T1.* FROM {source_table} T1 "
  81. else:
  82. select_query = f"SELECT T1.* FROM [{cfg.source_dsn['schema']}].[{source_table}] T1 "
  83. if not pd.isnull(current_table['filter']):
  84. select_query += " WHERE " + current_table['filter'].format("", cfg.filter[0], cfg.filter[1])
  85. intersect = source_columns.intersection(target_columns)
  86. # print("Auf beiden Seiten: " + ";".join(intersect))
  87. diff1 = source_columns.difference(target_columns)
  88. if len(diff1) > 0:
  89. f.write("rem Nur in Quelle: " + ";".join(diff1) + "\n")
  90. diff2 = target_columns.difference(source_columns)
  91. if 'Client_DB' not in diff2:
  92. f.write("echo Spalte 'Client_DB' fehlt!\n")
  93. print(f"Ziel-Tabelle '{current_table['target']}' Spalte 'Client_DB' fehlt!")
  94. continue
  95. diff2.remove('Client_DB')
  96. if len(diff2) > 0:
  97. f.write("rem Nur in Ziel: " + ";".join(diff2) + "\n")
  98. # select_columns = "T1.[" + "], T1.[".join(intersect) + "],"
  99. select_columns = ''
  100. for col in target_columns_list:
  101. if col in intersect:
  102. select_columns += "T1.[" + col + "], "
  103. elif col == 'Client_DB':
  104. select_columns += "'" + client_db + "' as \\\"Client_DB\\\", "
  105. else:
  106. select_columns += "'' as \\\"" + col + "\\\", "
  107. select_query = select_query.replace("T1.*", select_columns[:-2])
  108. select_query = select_query.replace("%", "%%") # batch-Problem
  109. stage_csv = f"{cfg.stage_dir}\\{current_table['target']}_{client_db}.csv"
  110. # insert_query = f"LOAD DATA INFILE '{stage_csv}' INTO TABLE {current_table['target']} FIELDS TERMINATED BY ',' ENCLOSED BY '\"' LINES TERMINATED BY '\n';"
  111. # print(select_query)
  112. f.write(f"bcp \"{select_query}\" queryout \"{stage_csv}\" {bcp_conn_params(cfg.source_dsn)} -c -C 65001 -e \"{stage_csv[:-4]}.queryout.log\" > \"{stage_csv[:-4]}.bcp1.log\" \n")
  113. f.write(f"type \"{stage_csv[:-4]}.bcp1.log\" | findstr -v \"1000\" \n")
  114. f.write(f"bcp [{cfg.target_dsn['schema']}].[{current_table['target']}] in \"{stage_csv}\" {bcp_conn_params(cfg.target_dsn)} -c -C 65001 -m 1000 -e \"{stage_csv[:-4]}.in.log\" > \"{stage_csv[:-4]}.bcp2.log\" \n")
  115. f.write(f"type \"{stage_csv[:-4]}.bcp2.log\" | findstr -v \"1000\" \n")
  116. with open(cfg.batch_dir + "\\_" + cfg.name + ".bat", "w", encoding="cp850") as f:
  117. f.write("@echo off & cd /d %~dp0 \n")
  118. f.write(f"del {cfg.stage_dir}\\*.* /Q /F >nul 2>nul \n\n")
  119. for index, current_table in config.iterrows():
  120. f.write("echo ==" + current_table['target'] + "==\n")
  121. f.write("echo " + current_table['target'] + " >CON \n")
  122. f.write("call " + current_table['target'] + ".bat\n\n")
  123. if __name__ == '__main__':
  124. plac.call(create)