def process_source(source):
try:
gtfs = GTFS(filename=source)
p_db = Database(url=db_string, is_geospatial=True)
gtfs.load(p_db, filename=source)
except Exception, e:
print e
def main():
# process command line args
args = init_parser()
# create database
db = Database(args.database_url, args.schema, args.is_geospatial)
db.create()
# load GTFS into database
gtfs = GTFS(args.file)
gtfs.load(db)
def loadToDatabase(writedir, name, gtfsfile):
db_type = "sqlite:///"
suffix = ".sqlite"
dbpath = writedir + "/" + name + suffix
dbname = db_type + dbpath
print "storing into database as " + dbname
db = Database(dbname, None, False)
db.create()
gtfs = GTFS(gtfsfile)
gtfs.load(db)
return dbpath
def loadToDatabase(writedir, name, gtfsfile) :
db_type = "sqlite:///"
suffix = ".sqlite"
dbpath = writedir + "/" + name + suffix
dbname = db_type + dbpath
print "storing into database as " + dbname
db = Database(dbname, None, False)
db.create()
gtfs = GTFS(gtfsfile)
gtfs.load(db)
return dbpath
def database_load(filename, **kwargs):
'''Basic API to load a GTFS zip file into a database
arguments:
filename: URL or local path to GTFS zip file
keyword arguments:
batch_size: record batch size for memory management
is_geospatial: if database is support geo functions
schema: database schema name
tables: limited list of tables to load
url: SQLAlchemy database url
'''
db = Database(**kwargs)
db.create()
gtfs = GTFS(filename)
gtfs.load(db, **kwargs)
return db
def database_load(filename, db_url, **kwargs):
db = Database(url=db_url, is_geospatial=True)
gtfs = GTFS(filename=filename, file_id=kwargs.get('file_id'))
gtfs.load(db)
