def test_read_unique(self): db = PhilDB(self.test_tsdb) results = db.read('410730', 'D') self.assertEqual(results.values[0], 1) self.assertEqual(results.values[1], 2) self.assertEqual(results.values[2], 3)
def test_update_and_append(self): db = PhilDB(self.test_tsdb) db.write('410730', 'D', pd.Series(index=[ datetime(2014, 1, 2), datetime(2014, 1, 3), datetime(2014, 1, 4), datetime(2014, 1, 5), datetime(2014, 1, 6) ], data=[2.5, 3.0, 4.0, 5.0, 6.0]), measurand='Q', source='DATA_SOURCE') data = db.read('410730', 'D', measurand='Q', source='DATA_SOURCE') self.assertEqual(1.0, data.values[0]) self.assertEqual(2.5, data.values[1]) self.assertEqual(3.0, data.values[2]) self.assertEqual(4.0, data.values[3]) self.assertEqual(5.0, data.values[4]) self.assertEqual(6.0, data.values[5]) self.assertEqual(datetime(2014, 1, 1), data.index[0].to_pydatetime()) self.assertEqual(datetime(2014, 1, 2), data.index[1].to_pydatetime()) self.assertEqual(datetime(2014, 1, 3), data.index[2].to_pydatetime()) self.assertEqual(datetime(2014, 1, 4), data.index[3].to_pydatetime()) self.assertEqual(datetime(2014, 1, 5), data.index[4].to_pydatetime()) self.assertEqual(datetime(2014, 1, 6), data.index[5].to_pydatetime())
def test_new_write(self): db = PhilDB(self.test_tsdb) db.add_timeseries('410731') db.add_timeseries_instance('410731', 'D', 'Foo', measurand='Q', source='DATA_SOURCE') db.write('410731', 'D', pd.Series(index=[ datetime(2014, 1, 1), datetime(2014, 1, 2), datetime(2014, 1, 3) ], data=[1.0, 2.0, 3.0]), measurand='Q', source='DATA_SOURCE') results = db.read('410731', 'D', measurand='Q', source='DATA_SOURCE') self.assertEqual(results.index[0].year, 2014) self.assertEqual(results.index[0].month, 1) self.assertEqual(results.index[0].day, 1) self.assertEqual(results.index[1].day, 2) self.assertEqual(results.index[2].day, 3) self.assertEqual(results.values[0], 1.0) self.assertEqual(results.values[1], 2.0) self.assertEqual(results.values[2], 3.0)
def test_read_non_unique(self): db = PhilDB(self.test_tsdb) db.add_measurand('P', 'PRECIPITATION', 'Precipitation') db.add_timeseries_instance('410730', 'D', 'Foo', measurand = 'P', source = 'DATA_SOURCE') with self.assertRaises(MultipleResultsFound) as context: results = db.read('410730', 'D')
def test_log_write(self): db = PhilDB(self.test_tsdb) db.add_timeseries('410731') db.add_timeseries_instance('410731', 'D', 'Foo', measurand='Q', source='DATA_SOURCE') dates = [ datetime(2014, 1, 1), datetime(2014, 1, 2), datetime(2014, 1, 3) ] db.write('410731', 'D', pd.Series(index=dates, data=[1.0, 2.0, 3.0]), measurand='Q', source='DATA_SOURCE') db.write('410731', 'D', pd.Series(index=dates, data=[1.0, 2.5, 3.0]), measurand='Q', source='DATA_SOURCE') db.write('410731', 'D', pd.Series(index=[datetime(2014, 1, 4)], data=[4.0]), measurand='Q', source='DATA_SOURCE') results = db.read('410731', 'D') self.assertEqual(results.values[0], 1.0) self.assertEqual(results.values[1], 2.5) self.assertEqual(results.values[2], 3.0) self.assertEqual(results.values[3], 4.0) with tables.open_file(db.get_file_path('410731', 'D', ftype='hdf5'), 'r') as hdf5_file: log_grp = hdf5_file.get_node('/data') self.assertEqual(log_grp.log[0][0], 1388534400) self.assertEqual(log_grp.log[0][1], 1.0) self.assertEqual(log_grp.log[0][2], 0) self.assertEqual(log_grp.log[1][0], 1388620800) self.assertEqual(log_grp.log[1][1], 2.0) self.assertEqual(log_grp.log[2][0], 1388707200) self.assertEqual(log_grp.log[2][1], 3.0) self.assertEqual(log_grp.log[3][0], 1388620800) self.assertEqual(log_grp.log[3][1], 2.5) self.assertEqual(log_grp.log[4][0], 1388793600) self.assertEqual(log_grp.log[4][1], 4.0)
def test_read_non_unique(self): db = PhilDB(self.test_tsdb) db.add_measurand('P', 'PRECIPITATION', 'Precipitation') db.add_timeseries_instance('410730', 'D', 'Foo', measurand='P', source='DATA_SOURCE') with self.assertRaises(MultipleResultsFound) as context: results = db.read('410730', 'D')
def test_read(self): db_name = os.path.join(self.test_data_dir, 'test_tsdb') db = PhilDB(db_name) results = db.read('410730', 'D', measurand = 'Q', source = 'DATA_SOURCE') self.assertEqual(results.index[0].year, 2014) self.assertEqual(results.index[0].month, 1) self.assertEqual(results.index[0].day, 1) self.assertEqual(results.index[1].day, 2) self.assertEqual(results.index[2].day, 3) self.assertEqual(results.values[0], 1) self.assertEqual(results.values[1], 2) self.assertEqual(results.values[2], 3)
def test_read(self): db_name = os.path.join(self.test_data_dir, 'test_tsdb') db = PhilDB(db_name) results = db.read('410730', 'D', measurand='Q', source='DATA_SOURCE') self.assertEqual(results.index[0].year, 2014) self.assertEqual(results.index[0].month, 1) self.assertEqual(results.index[0].day, 1) self.assertEqual(results.index[1].day, 2) self.assertEqual(results.index[2].day, 3) self.assertEqual(results.values[0], 1) self.assertEqual(results.values[1], 2) self.assertEqual(results.values[2], 3)
def test_update_and_append(self): db = PhilDB(self.test_tsdb) db.write('410730', 'D', pd.Series(index = [datetime(2014,1,2), datetime(2014,1,3), datetime(2014,1,4), datetime(2014,1,5), datetime(2014,1,6)], data = [2.5, 3.0, 4.0, 5.0, 6.0]), measurand = 'Q', source = 'DATA_SOURCE') data = db.read('410730', 'D', measurand = 'Q', source = 'DATA_SOURCE') self.assertEqual(1.0, data.values[0]) self.assertEqual(2.5, data.values[1]) self.assertEqual(3.0, data.values[2]) self.assertEqual(4.0, data.values[3]) self.assertEqual(5.0, data.values[4]) self.assertEqual(6.0, data.values[5]) self.assertEqual(datetime(2014,1,1), data.index[0].to_pydatetime()) self.assertEqual(datetime(2014,1,2), data.index[1].to_pydatetime()) self.assertEqual(datetime(2014,1,3), data.index[2].to_pydatetime()) self.assertEqual(datetime(2014,1,4), data.index[3].to_pydatetime()) self.assertEqual(datetime(2014,1,5), data.index[4].to_pydatetime()) self.assertEqual(datetime(2014,1,6), data.index[5].to_pydatetime())
def test_new_write(self): db = PhilDB(self.test_tsdb) db.add_timeseries('410731') db.add_timeseries_instance('410731', 'D', 'Foo', measurand = 'Q', source = 'DATA_SOURCE') db.write('410731', 'D', pd.Series(index = [datetime(2014,1,1), datetime(2014,1,2), datetime(2014,1,3)], data = [1.0, 2.0, 3.0]), measurand = 'Q', source = 'DATA_SOURCE') results = db.read('410731', 'D', measurand = 'Q', source = 'DATA_SOURCE') self.assertEqual(results.index[0].year, 2014) self.assertEqual(results.index[0].month, 1) self.assertEqual(results.index[0].day, 1) self.assertEqual(results.index[1].day, 2) self.assertEqual(results.index[2].day, 3) self.assertEqual(results.values[0], 1.0) self.assertEqual(results.values[1], 2.0) self.assertEqual(results.values[2], 3.0)
def test_log_write(self): db = PhilDB(self.test_tsdb) db.add_timeseries('410731') db.add_timeseries_instance('410731', 'D', 'Foo', measurand = 'Q', source = 'DATA_SOURCE') dates = [datetime(2014,1,1), datetime(2014,1,2), datetime(2014,1,3)] db.write('410731', 'D', pd.Series(index = dates, data = [1.0, 2.0, 3.0]), measurand = 'Q', source = 'DATA_SOURCE') db.write('410731', 'D', pd.Series(index = dates, data = [1.0, 2.5, 3.0]), measurand = 'Q', source = 'DATA_SOURCE') db.write('410731', 'D', pd.Series(index = [datetime(2014,1,4)], data = [4.0]), measurand = 'Q', source = 'DATA_SOURCE') results = db.read('410731', 'D') self.assertEqual(results.values[0], 1.0) self.assertEqual(results.values[1], 2.5) self.assertEqual(results.values[2], 3.0) self.assertEqual(results.values[3], 4.0) with tables.open_file(db.get_file_path('410731', 'D', ftype='hdf5'), 'r') as hdf5_file: log_grp = hdf5_file.get_node('/data') self.assertEqual(log_grp.log[0][0], 1388534400) self.assertEqual(log_grp.log[0][1], 1.0) self.assertEqual(log_grp.log[0][2], 0) self.assertEqual(log_grp.log[1][0], 1388620800) self.assertEqual(log_grp.log[1][1], 2.0) self.assertEqual(log_grp.log[2][0], 1388707200) self.assertEqual(log_grp.log[2][1], 3.0) self.assertEqual(log_grp.log[3][0], 1388620800) self.assertEqual(log_grp.log[3][1], 2.5) self.assertEqual(log_grp.log[4][0], 1388793600) self.assertEqual(log_grp.log[4][1], 4.0)
import sys import numpy as np from phildb.database import PhilDB db = PhilDB(sys.argv[1]) ac = np.array( [ (hrs_id, db.read(hrs_id, 'D', measurand = 'Q', source = 'BOM_HRS').autocorr()) for hrs_id in db.ts_list()], dtype = [('name','S8'),('val',float)] ) for station in ac[ac['val'] >= 0.95]: print station['name'], station['val']
import sys import numpy as np from phildb.database import PhilDB db = PhilDB(sys.argv[1]) ac = np.array( [(hrs_id, db.read(hrs_id, 'D', measurand='Q', source='BOM_HRS').autocorr()) for hrs_id in db.ts_list()], dtype=[('name', 'S8'), ('val', float)]) for station in ac[ac['val'] >= 0.95]: print station['name'], station['val']