def test_total_and_rate(self):
self.assertTrue( EclSum.is_total("FOPT"))
self.assertTrue( EclSum.is_total("WWPT:OP_3"))
self.assertFalse( EclSum.is_total("RPR:2"))
self.assertTrue( EclSum.is_rate("WOPR:OP_4"))
self.assertFalse( EclSum.is_rate("BPR:123"))
self.assertTrue(EclSum.is_rate("FWIR"))
def test_total_and_rate(self):
self.assertTrue(EclSum.is_total("FOPT"))
self.assertTrue(EclSum.is_total("WWPT:OP_3"))
self.assertFalse(EclSum.is_total("RPR:2"))
self.assertTrue(EclSum.is_rate("WOPR:OP_4"))
self.assertFalse(EclSum.is_rate("BPR:123"))
self.assertTrue(EclSum.is_rate("FWIR"))
def _create_smry_meta_dict(eclsum: EclSum,
column_names: Iterable[str]) -> Dict[str, dict]:
"""Builds dictionary containing metadata for all the specified summary columns"""
smry_meta = {}
for col_name in column_names:
col_meta = {}
col_meta["unit"] = eclsum.unit(col_name)
col_meta["is_total"] = eclsum.is_total(col_name)
col_meta["is_rate"] = eclsum.is_rate(col_name)
col_meta["is_historical"] = eclsum.smspec_node(
col_name).is_historical()
col_meta["keyword"] = eclsum.smspec_node(col_name).keyword
col_meta["wgname"] = eclsum.smspec_node(col_name).wgname
num = eclsum.smspec_node(col_name).get_num()
if num is not None:
col_meta["get_num"] = num
smry_meta[col_name] = col_meta
return smry_meta
