def test_get_path():
assert Config.get_datastore_path("choka.csv")
assert Config.get_download_path("choka_daikoku_2021_04_001.html")
assert Config.test_resource("daikoku1.html")
assert Config.get_url("daikoku")
assert Config.get_download_file("daikoku", 2021, 4)
assert Config.get_db_path()
assert Config.get_config_path("config.toml")
def __init__(self, db_name=config.ChokaDB):
"""
SQLite3 データベースへの接続と、各モデル定義を初期化します
"""
self.db_path = Config.get_db_path(db_name)
self.db = ds.connect('sqlite:///{}'.format(self.db_path))
self.target = pd.DataFrame(columns=['Target', 'Species'])
self.area = pd.DataFrame(columns=['Point', 'PointName'])
def __init__(self, db_name=config.ChokaDB):
"""
SQLite3 データベースへの接続と、各モデル定義を初期化します
"""
self.db_path = Config.get_db_path(db_name)
db = ds.connect('sqlite:///{}'.format(self.db_path))
self.db = db
self.tables = [
Table('fishing_results', ['Date', 'Point', 'Species'],
'choka.csv'),
Table('fishing_comments', ['Date', 'Point'], 'comment.csv'),
Table('fishing_newslines', ['Date', 'Time', 'Point'],
'newsline.csv'),
]
self.load_counts = dict()
def __init__(self, db_name=config.ChokaDB):
"""
SQLite3 データベースへの接続と、各モデル定義を初期化します
"""
self.db_path = Config.get_db_path(db_name)
self.db = ds.connect('sqlite:///{}'.format(self.db_path))
def test_get_choka_db():
print(Config.get_db_path())
def test_init():
Datastore(TEST_DB).reset_database()
db_path = Config.get_db_path(TEST_DB)
assert not os.path.exists(db_path)
