def overview(station: int,
tabname: str = "readings",
fields: List[str] = None,
with_rows: bool = False) -> List[Timeframe]:
assert isinstance(station, int)
assert isinstance(tabname, str)
if not fields:
fields = get_data_fields(tabname=tabname)
assert isinstance(fields, list)
assert isinstance(with_rows, bool)
sql = get_indicator_select(tabname=tabname, fields=fields)
with johanna.Connection(f"select from {tabname}") as c:
rows = c.cur.execute(sql, (station, )).fetchall()
tfs = []
ts0 = PointInTime(rows[0][0])
srow0 = "".join(rows[0][1:]) # indicator string
tf = Timeframe(ts0, None, srow0, None, None)
tfs.append(tf)
for i, row in enumerate(rows[1:]):
ts = PointInTime(row[0])
srow = "".join(row[1:]) # indicator string
if ts - ts0 > 1: # not next day
# we passed an occurence of '---------' ('-' only)
# -> insert n/a interval: [x, _, old] -> [x, ts0, old], [ts0+1, ts-1, n/a], [ts, _, new]
tf.ts_to = ts0
tfs.append(Timeframe(ts0.next(), ts.prev(), "no data", None, None))
tf = Timeframe(ts, None, srow, None, None)
tfs.append(tf)
elif srow != srow0:
tf.ts_to = ts0
tf = Timeframe(ts, None, srow, None, None)
tfs.append(tf)
ts0 = ts
srow0 = srow
tf.ts_to = ts
for tf in tfs:
tf.days = tf.ts_to - tf.ts_from + 1
if with_rows:
for tf in tfs:
tf.rows = get_two(station,
tf.ts_to.dwdts(),
tabname=tabname,
fields=fields)
return tfs
def test_prev_hourly(self):
neujahr = PointInTime("2022-01-01 00")
silvester = neujahr.prev()
self.assertEqual(silvester.iso(), "2021-12-31 23")
