def check(self, datadir):
for parm in self.parameters:
if not parm['ts_id']:
continue
actual_ts = Timeseries(parm['ts_id'])
enhydris_api.read_tsdata(self.base_url, self.cookies, actual_ts)
reference_ts = Timeseries()
with open(os.path.join(
datadir, 'generated', parm['expname'] + '.txt')) as f:
reference_ts.read(f)
precision = self.guess_precision(f)
self.assertTimeseriesEqual(actual_ts, reference_ts, precision,
parm['expname'] + '.txt')
def run_test(self):
if not self.base_url:
return
d = {'filename': full_testdata_filename(self.filename),
'datafile_fields': str(self.timeseries_id),
'datafile_format': 'irrelevant'}
d.update(self.datafiledict)
df = Datafile_simple(self.base_url, self.cookies, d)
df.update_database()
enhydris_api.read_tsdata(self.base_url, self.cookies, self.ts)
self.assertEqual(len(self.ts), len(self.ref_ts))
(items, ritems) = [x.items() for x in (self.ts, self.ref_ts)]
for item, ritem in zip(items, ritems):
self.assertEqual(item[0], ritem[0])
self.assertAlmostEqual(item[1], ritem[1], 4)
self.assertEqual(item[1].flags, ritem[1].flags)
def upload_test(self):
d = {'filename': self.file1,
'datafile_fields': self.datafile_fields,
'datafile_format': 'msaccess',
'table': 'Clima'}
d.update(self.datafiledict)
df = self.class_being_tested(self.base_url, self.cookies, d)
df.update_database()
enhydris_api.read_tsdata(self.base_url, self.cookies, self.ts1)
enhydris_api.read_tsdata(self.base_url, self.cookies, self.ts2)
self.assertEqual(len(self.ts1), 10)
self.assertEqual(len(self.ts2), 10)
(items1, items2, ritems1, ritems2) = [
x.items() for x in (self.ts1, self.ts2,
self.ref_ts1, self.ref_ts2)]
for i in range(0, 10):
self.assertEqual(items1[i][0], ritems1[i][0])
self.assertAlmostEqual(items1[i][1], ritems1[i][1], 4)
self.assertEqual(items1[i][1].flags, ritems1[i][1].flags)
self.assertEqual(items2[i][0], ritems2[i][0])
self.assertAlmostEqual(items2[i][1], ritems2[i][1], 4)
self.assertEqual(items2[i][1].flags, ritems2[i][1].flags)
d['filename'] = self.file2
df = self.class_being_tested(self.base_url, self.cookies, d)
df.update_database()
enhydris_api.read_tsdata(self.base_url, self.cookies, self.ts1)
enhydris_api.read_tsdata(self.base_url, self.cookies, self.ts2)
self.assertEqual(len(self.ts1), 17)
self.assertEqual(len(self.ts2), 17)
(items1, items2, ritems1, ritems2) = [
x.items() for x in (self.ts1, self.ts2,
self.ref_ts1, self.ref_ts2)]
for i in range(0, 17):
self.assertEqual(items1[i][0], ritems1[i][0])
self.assertAlmostEqual(items1[i][1], ritems1[i][1], 4)
self.assertEqual(items1[i][1].flags, ritems1[i][1].flags)
self.assertEqual(items2[i][0], ritems2[i][0])
self.assertAlmostEqual(items2[i][1], ritems2[i][1], 4)
self.assertEqual(items2[i][1].flags, ritems2[i][1].flags)
