Newer
Older
#! /usr/bin/env python
# -*- coding: utf-8 -*-
from dataclasses import dataclass
from typing import Dict, Union, Sequence
import numpy as np
import pandas as pd
import pytest
from dios import DictOfSeries
from saqc.constants import UNFLAGGED, BAD, DOUBTFUL
from saqc.core.translator import PositionalTranslator, Translator, DmpTranslator
from saqc.core.flags import Flags
from saqc.core.core import SaQC
from tests.common import initData
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
def _genTranslators():
for dtype in (str, float, int):
flags = {dtype(-2): UNFLAGGED, dtype(-1): BAD, **{dtype(f*10): float(f) for f in range(10)}}
translator = Translator(flags)
yield flags, translator
def _genFlags(data: Dict[str, Union[Sequence, pd.Series]]) -> Flags:
flags = DictOfSeries()
for k, v in data.items():
if not isinstance(v, pd.Series):
v = pd.Series(v, index=pd.date_range("2012-01-01", freq="1D", periods=len(v)))
flags[k] = v
return Flags(flags)
def test_forwardTranslation():
for flags, translator in _genTranslators():
for k, expected in flags.items():
got = translator.forward(k)
assert expected == got or np.isnan([got, expected]).all()
for k in ["bad", 3.14, max]:
with pytest.raises(ValueError):
translator.forward(k)
def test_backwardTranslation():
field = "var1"
for _, translator in _genTranslators():
keys = tuple(translator._backward.keys())
flags = _genFlags({field: np.array(keys)})
translated = translator.backward(flags, None)
expected = set(translator._backward.values())
assert not (set(translated[field]) - expected)
def test_backwardTranslationFail():
field = "var1"
for _, translator in _genTranslators():
keys = tuple(translator._backward.keys())
# add an scheme invalid value to the flags
flags = _genFlags({field: np.array(keys + (max(keys) + 1,))})
with pytest.raises(ValueError):
translator.backward(flags, None)
Selector = namedtuple("Selector", ["field"])
Function = namedtuple("Function", ["name"])
translator = DmpTranslator()
keys = np.array(tuple(translator._backward.keys()) * 50)
flags = _genFlags({"var1": keys, "var2": keys, "var3": keys})
flags[:, "var1"] = DOUBTFUL
flags[:, "var2"] = BAD
# # NOTE: work around the default first column history columns (see GL#182)
# (Selector("var1"), None, Function("-")),
(Selector("var1"), None, Function("flagFoo")),
(Selector("var1"), None, Function("flagBar")),
# # NOTE: work around the default first column history columns (see GL#182)
# (Selector("var2"), None, Function("-")),
]
tflags = translator.backward(flags, to_call)
assert set(tflags.columns.get_level_values(1)) == {"quality_flag", "quality_comment", "quality_cause"}
assert (tflags.loc[:, ("var1", "quality_flag")] == "DOUBTFUL").all(axis=None)
assert (tflags.loc[:, ("var1", "quality_comment")] == '{"test": "flagBar"}').all(axis=None)
assert (tflags.loc[:, ("var2", "quality_flag")] == "BAD").all(axis=None)
assert (tflags.loc[:, ("var2", "quality_comment")] == '{"test": "flagFoo"}').all(axis=None)
assert (tflags.loc[:, ("var3", "quality_comment")] == '{"test": "-"}').all(axis=None)
def test_dmpTranslatorIntegration():
data = initData(3)
col = data.columns[0]
saqc = SaQC(data=data, translator=DmpTranslator())
saqc = (saqc
.breaks.flagMissing(col)
.outliers.flagRange(col, min=3, max=10))
data, flags = saqc.getResult()
def test_positionalTranslator():
translator = PositionalTranslator()
flags = _genFlags({"var1": np.zeros(100), "var2": np.zeros(50)})
flags[1::3, "var1"] = BAD
flags[1::3, "var1"] = DOUBTFUL
flags[2::3, "var1"] = BAD
tflags = translator.backward(flags, None) # type: ignore
assert (tflags["var2"].dropna() == "9").all(axis=None)
assert (tflags["var1"].iloc[1::3] == "9210").all(axis=None)
assert (tflags["var1"].iloc[2::3] == "9002").all(axis=None)
def test_positionalTranslatorIntegration():
data = initData(3)
col: str = data.columns[0]
saqc = SaQC(data=data, translator=PositionalTranslator())
saqc = (saqc
.breaks.flagMissing(col)
.outliers.flagRange(col, min=3, max=10))
data, flags = saqc.getResult()
for field in flags.columns:
assert flags[field].str.match("^9[012]*$").all()