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- import os
- import pandas as pd
- from egoio.tools import db
- from ding0.core import NetworkDing0
- from ding0.tools.logger import setup_logger
- from ding0.tools.results import save_nd_to_pickle
- from sqlalchemy.orm import sessionmaker
- # define logger
- logger = setup_logger()
- # define suffixes, paths, ...
- suffix = '_v0.3.0_shapely_1.6.3'
- data_path = 'data'
- # database connection
- engine = db.connection(section='oedb')
- session = sessionmaker(bind=engine)()
- # define MV Grid Districts that should be treated
- # original list of 20 representative grids
- # mv_grid_districts = [3196, 3040, 274, 1099, 1977, 2682, 2882, 1476, 1426, 3608,
- # 294, 2490, 525, 1147, 239, 3230, 1103, 1364, 2035, 3021]
- # list reduced by faulty one
- mv_grid_districts = [3196, 3040, 274, 1977, 2682, 2882, 1476, 1426,
- 294, 2490, 525, 1147, 239, 3230, 1103, 1364, 2035, 3021]
- faulty_mvgds = {}
- for mvgd in mv_grid_districts:
- try:
- # instantiate new ding0 network object
- nd = NetworkDing0(name='network')
- # run DING0 on selected MV Grid District
- nd.run_ding0(session=session,
- mv_grid_districts_no=[mvgd])
- # export grid to file (pickle)
- filename = os.path.join(data_path,
- 'ding0_grids_{mvgd}{suffix}.pkl'.format(
- mvgd=mvgd, suffix=suffix))
- save_nd_to_pickle(
- nd,
- filename=filename)
- except Exception as e:
- faulty_mvgds.update({mvgd: e})
- pd.DataFrame.from_dict(faulty_mvgds, orient='index').to_csv(
- os.path.join(data_path, 'faulty_mvgds{suffix}.csv'.format(suffix=suffix)))
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