Python-Projekte/dbtools/db_create.py

import plac
import pandas as pd
from sqlalchemy import create_engine, inspect
from database import bcp_conn_params, conn_string
import json
from pathlib import Path
from collections import namedtuple
DbCreateConfig = namedtuple('DbCreateConfig', 'name csv_file clients filter source_dsn target_dsn stage_dir batch_dir')

cfg = DbCreateConfig(**{
    'name': 'CARLO',
    'csv_file': 'CARLO.csv',
    'clients': {'1': 'M und S Fahrzeughandel GmbH'},
    'filter': ['01.01.2018', '01.01.2019'],
    'source_dsn': {'user': 'sa', 'pass': 'Mffu3011#', 'server': 'GC-SERVER1\\GLOBALCUBE', 'database': 'DE0017', 'driver': 'mssql', 'schema': 'dbo'},
    'target_dsn': {'user': 'sa', 'pass': 'Mffu3011#', 'server': 'GC-SERVER1\\GLOBALCUBE', 'database': 'CARLO2', 'driver': 'mssql', 'schema': 'import'},
    'stage_dir': '..\\temp',
    'batch_dir': '..\\batch'
})


def db_import(select_query, source_db, current_table, target_db, target_schema):
    pd.read_sql(select_query, source_db).to_sql(current_table['target'], target_db, schema=target_schema, index=False, if_exists='append')


@plac.pos('config_file', '', type=str)
def create(config_file='CARLO.json'):
    cfg_import = json.load(open(config_file, 'r', encoding='ansi'))
    base_dir = Path(config_file).resolve().parent
    cfg_import['name'] = Path(config_file).stem
    if cfg_import['stage_dir'][:2] == '..':
        cfg_import['stage_dir'] = str(base_dir.joinpath(cfg_import['stage_dir']).resolve())
    if cfg_import['batch_dir'][:2] == '..':
        cfg_import['batch_dir'] = str(base_dir.joinpath(cfg_import['batch_dir']).resolve())
    cfg = DbCreateConfig(**cfg_import)

    df = pd.read_csv(str(base_dir) + "\\" + cfg.csv_file, sep=';', encoding='ansi')
    config = df[df['target'].notnull()]
    print(config.head())

    source_db = create_engine(conn_string(cfg.source_dsn))
    source_insp = inspect(source_db)
    source_tables = source_insp.get_table_names(schema=cfg.source_dsn['schema'])
    source_tables_prefix = dict(enumerate(sorted(list(set([t.split('$')[0] for t in source_tables if '$' in t]))), 1))
    print(source_tables_prefix)

    target_db = create_engine(conn_string(cfg.target_dsn))
    target_insp = inspect(target_db)
    target_tables = target_insp.get_table_names(schema=cfg.target_dsn['schema'])

    for index, current_table in config.iterrows():
        with open(cfg.batch_dir + "\\" + current_table['target'] + '.bat', 'w', encoding='cp850') as f:
            f.write('@echo off \n')
            f.write('rem ==' + current_table['target'] + '==\n')

            if not current_table['target'] in target_tables:
                f.write(f"echo Ziel-Tabelle '{current_table['target']}' existiert nicht!\n")
                continue

            f.write(f"del {cfg.stage_dir}\\{current_table['target']}*.* /Q /F >nul 2>nul \n")
            f.write(f"sqlcmd.exe {bcp_conn_params(cfg.target_dsn)} -p -Q \"TRUNCATE TABLE [{cfg.target_dsn['schema']}].[{current_table['target']}]\" \n")

            target_insp_cols = target_insp.get_columns(current_table['target'], schema=cfg.target_dsn['schema'])
            target_columns_list = [col['name'] for col in target_insp_cols]
            target_columns = set(target_columns_list)

            for client_db, prefix in cfg.clients.items():
                source_table = current_table['source'].format(prefix)

                if source_table not in source_tables:
                    f.write(f"echo Quell-Tabelle '{source_table}' existiert nicht!\n")
                    continue
                stage_csv = f"{cfg.stage_dir}\\{current_table['target']}_{client_db}.csv"

                if not pd.isnull(current_table['query']):
                    select_query = current_table['query'].format(prefix, cfg.filter[0], cfg.filter[1])
                elif '.' in source_table:
                    select_query = f"SELECT T1.* FROM {source_table} T1 "
                else:
                    select_query = f"SELECT T1.* FROM [{cfg.source_dsn['schema']}].[{source_table}] T1 "

                if not pd.isnull(current_table['filter']):
                    select_query += " WHERE " + current_table['filter'].format("", cfg.filter[0], cfg.filter[1])

                source_insp_cols = source_insp.get_columns(source_table)
                source_columns = set([col['name'] for col in source_insp_cols])

                intersect = source_columns.intersection(target_columns)
                # print("Auf beiden Seiten: " + ";".join(intersect))
                diff1 = source_columns.difference(target_columns)
                if len(diff1) > 0:
                    f.write("rem Nur in Quelle: " + ";".join(diff1) + "\n")
                diff2 = target_columns.difference(source_columns)
                if 'Client_DB' not in diff2:
                    f.write("echo Spalte 'Client_DB' fehlt!\n")
                    continue
                diff2.remove('Client_DB')
                if len(diff2) > 0:
                    f.write("rem Nur in Ziel:   " + ";".join(diff2) + "\n")

                # select_columns = "T1.[" + "], T1.[".join(intersect) + "],"
                select_columns = ''
                for col in target_columns_list:
                    if col in intersect:
                        select_columns += "T1.[" + col + "], "
                    elif col == 'Client_DB':
                        select_columns += "'" + client_db + "' as \\\"Client_DB\\\", "
                    else:
                        select_columns += "'' as \\\"" + col + "\\\", "

                select_query = select_query.replace("T1.*", select_columns[:-2])
                select_query = select_query.replace("%", "%%")     # batch-Problem

                # insert_query = f"LOAD DATA INFILE '{stage_csv}' INTO TABLE {current_table['target']} FIELDS TERMINATED BY ',' ENCLOSED BY '\"' LINES TERMINATED BY '\n';"

                # print(select_query)
                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")
                f.write(f"type \"{stage_csv[:-4]}.bcp1.log\" | findstr -v \"1000\" \n")
                f.write(f"bcp [{cfg.target_dsn['schema']}].[{current_table['target']}] in \"{stage_csv}\" {bcp_conn_params(cfg.target_dsn)} -c -C 65001 -e \"{stage_csv[:-4]}.in.log\" > \"{stage_csv[:-4]}.bcp2.log\" \n")
                f.write(f"type \"{stage_csv[:-4]}.bcp2.log\" | findstr -v \"1000\" \n")

    with open(cfg.batch_dir + "\\_" + cfg.name + ".bat", "w", encoding="cp850") as f:
        f.write("@echo off & cd /d %~dp0 \n")
        f.write(f"del {cfg.stage_dir}\\*.* /Q /F >nul 2>nul \n\n")
        for index, current_table in config.iterrows():
            f.write("echo ==" + current_table['target'] + "==\n")
            f.write("echo " + current_table['target'] + " >CON \n")
            f.write("call " + current_table['target'] + ".bat\n\n")


if __name__ == '__main__':
    plac.call(create)