diff --git a/saqc/core/reader.py b/saqc/core/reader.py
index 12e8728fb658d431eac407de748f6301459db1b6..4339b24f694258d618a4d3bc1c67effa95967155 100644
--- a/saqc/core/reader.py
+++ b/saqc/core/reader.py
@@ -56,12 +56,14 @@ def _injectOptionalColumns(df):
def _parseConfig(df, flagger):
to_call = []
for lineno, (_, field, expr, plot) in enumerate(df.itertuples()):
- if field == "None":
+ if field == "None" or pd.isnull(field) or pd.isnull(expr):
continue
- if pd.isnull(field):
- raise SyntaxError(f"line {lineno}: non-optional column '{F.VARNAME}' missing")
- if pd.isnull(expr):
- raise SyntaxError(f"line {lineno}: non-optional column '{F.TEST}' missing")
+ # if field == "None":
+ # continue
+ # if pd.isnull(field):
+ # raise SyntaxError(f"line {lineno}: non-optional column '{F.VARNAME}' missing")
+ # if pd.isnull(expr):
+ # raise SyntaxError(f"line {lineno}: non-optional column '{F.TEST}' missing")
tree = ast.parse(expr, mode="eval")
cp = ConfigFunctionParser(tree.body, flagger)
to_call.append((cp.func, field, cp.kwargs, plot, lineno + 2, expr))
diff --git a/saqc/flagger/__init__.py b/saqc/flagger/__init__.py
index 3c942296fd455c1d1632a5880afa5759f394c787..dd5b607158f13f3922cdf734f21fa98be19a96cb 100644
--- a/saqc/flagger/__init__.py
+++ b/saqc/flagger/__init__.py
@@ -6,3 +6,4 @@ from saqc.flagger.categoricalflagger import CategoricalFlagger
from saqc.flagger.simpleflagger import SimpleFlagger
from saqc.flagger.dmpflagger import DmpFlagger
from saqc.flagger.continuousflagger import ContinuousFlagger
+from saqc.flagger.positionalflagger import PositionalFlagger
diff --git a/saqc/flagger/baseflagger.py b/saqc/flagger/baseflagger.py
index 113e973db6d966b6630f36358aa0bbd7eba1e166..ec1f14b236b748ac8d14fc784bddcf591f9930ed 100644
--- a/saqc/flagger/baseflagger.py
+++ b/saqc/flagger/baseflagger.py
@@ -267,6 +267,8 @@ class BaseFlagger(ABC):
else:
# if flags is given and self.flags is big,
# this hack will bring some speed improvement
+ # NOTE: there should be nicer way to do this,
+ # why not through a constructur method?
saved = self._flags
self._flags = None
out = deepcopy(self)
diff --git a/saqc/flagger/positionalflagger.py b/saqc/flagger/positionalflagger.py
new file mode 100644
index 0000000000000000000000000000000000000000..6cd13758cf7cf6aaaa2c0c7a10e2109dc52bf0d1
--- /dev/null
+++ b/saqc/flagger/positionalflagger.py
@@ -0,0 +1,102 @@
+#! /usr/bin/env python
+# -*- coding: utf-8 -*-
+
+from copy import deepcopy
+
+import pandas as pd
+
+from dios import DictOfSeries
+from saqc.flagger.baseflagger import BaseFlagger, COMPARATOR_MAP
+from saqc.lib.tools import assertScalar, toSequence
+
+
+FLAGS = ("-1", "0", "1", "2")
+
+
+class PositionalFlagger(BaseFlagger):
+ def __init__(self):
+ super().__init__(dtype=str)
+
+ def setFlags(self, field, loc, position=-1, flag=None, force=False, inplace=False, **kwargs):
+ assertScalar("field", field, optional=False)
+
+ # prepping
+ flag = str(self.BAD if flag is None else flag)
+ self.isValidFlag(flag, fail=True)
+ out = self if inplace else deepcopy(self)
+ out_flags = out._flags[field]
+
+ # replace unflagged with the magic starter '9'
+ out_flags = out_flags.str.replace(f"^{self.UNFLAGGED}", "9", regex=True)
+
+ # bring all flags to the desired length
+ # length = position # if position > 0 else out_flags.str.len().max()
+ if position == -1:
+ length = position = out_flags.str.len().max()
+ else:
+ length = position = position + 1
+ out_flags = out_flags.str.pad(length + 1, fillchar=self.GOOD, side="right")
+
+ # we rigerously overwrite existing flags
+ new_flags = out_flags.str[position]
+ new_flags[loc] = flag
+
+ out._flags[field] = out_flags.str[:position] + new_flags + out_flags.str[position+1:]
+ return out
+
+ def isFlagged(self, field=None, loc=None, flag=None, comparator=">"):
+
+ flags = self._getMaxFlag(field, loc).astype(int)
+
+ # notna() to prevent nans to become True,
+ # eg.: `np.nan != 0 -> True`
+ flagged = flags.notna()
+ flags_to_compare = set(toSequence(flag, self.GOOD))
+ if not flags_to_compare:
+ flagged[:] = False
+ return flagged
+
+ cp = COMPARATOR_MAP[comparator]
+ for f in flags_to_compare:
+ self.isValidFlag(f, fail=True)
+ flagged &= cp(flags, int(f))
+ return flagged
+
+ def isValidFlag(self, flag, fail=False):
+ check = flag in FLAGS
+ if check is False and fail is True:
+ raise ValueError(f"invalid flag {flag}, given values should be in '{FLAGS}'")
+ return check
+
+ def _getMaxFlag(self, field, loc):
+
+ data = {}
+ flags = self.getFlags(field, loc)
+ if isinstance(flags, pd.Series):
+ flags = flags.to_frame()
+ for col_name, col in flags.iteritems():
+ mask = col != self.UNFLAGGED
+ col = col.str.replace("^9", "0", regex=True)
+ col[mask] = col[mask].apply(lambda x: max(list(x)))
+ data[col_name] = col
+ return DictOfSeries(data)
+
+ @property
+ def UNFLAGGED(self):
+ return FLAGS[0]
+
+ @property
+ def GOOD(self):
+ return FLAGS[1]
+
+ @property
+ def SUSPICIOUS(self):
+ return FLAGS[2]
+
+ @property
+ def BAD(self):
+ return FLAGS[3]
+
+ def isSUSPICIOUS(self, flag):
+ return flag == self.SUSPICIOUS
+
diff --git a/test/common.py b/test/common.py
index 9e2571e6e803a954cfad86bdbb9c1d0e38ed0b1a..500ed5adcd11dfe112196831678ece8bd881dabc 100644
--- a/test/common.py
+++ b/test/common.py
@@ -8,6 +8,7 @@ import pandas as pd
import dios
from saqc.flagger import (
+ PositionalFlagger,
CategoricalFlagger,
SimpleFlagger,
DmpFlagger,
diff --git a/test/core/test_reader.py b/test/core/test_reader.py
index e86e885c99788179b2ebf3288400f0e09e5222c9..d3733a64ca4420dc378bb5c63e272d18171df7b7 100644
--- a/test/core/test_reader.py
+++ b/test/core/test_reader.py
@@ -116,8 +116,6 @@ def test_configChecks(data):
(f"{var1};flagFunc(mn=0)", TypeError), # bad argument name
(f"{var1};flagFunc()", TypeError), # not enough arguments
(f"{var3};flagNothing()", NameError), # unknown function
- (";flagFunc(min=3)", SyntaxError), # missing variable
- (f"{var1};", SyntaxError), # missing test
(f"{var1}; min", TypeError), # not a function call
]
diff --git a/test/flagger/test_positionalflagger.py b/test/flagger/test_positionalflagger.py
new file mode 100644
index 0000000000000000000000000000000000000000..9012a18e9f0dd57ef6ee4c567e629aaded6e51ba
--- /dev/null
+++ b/test/flagger/test_positionalflagger.py
@@ -0,0 +1,54 @@
+#! /usr/bin/env python
+# -*- coding: utf-8 -*-
+
+import pytest
+
+import numpy as np
+
+from test.common import initData
+from saqc.flagger import PositionalFlagger
+
+
+@pytest.fixture
+def data():
+ return initData(cols=2)
+
+
+def test_initFlags(data):
+ flagger = PositionalFlagger().initFlags(data=data)
+ assert (flagger.isFlagged() == False).all(axis=None)
+ assert (flagger.flags == flagger.UNFLAGGED).all(axis=None)
+
+
+def test_setFlags(data):
+ flagger = PositionalFlagger().initFlags(data=data)
+
+ field = data.columns[0]
+ mask = np.zeros(len(data[field]), dtype=bool)
+ mask[1:10:2] = True
+
+ flagger = flagger.setFlags(field=field, loc=mask, flag=flagger.SUSPICIOUS)
+ assert (flagger.flags.loc[mask, field] == "91").all(axis=None)
+ assert (flagger.flags.loc[~mask, field] == "90").all(axis=None)
+
+ flagger = flagger.setFlags(field=field, loc=~mask, flag=flagger.BAD)
+ assert (flagger.flags.loc[~mask, field] == "902").all(axis=None)
+ assert (flagger.flags.loc[mask, field] == "910").all(axis=None)
+
+ assert (flagger.flags[data.columns[1]] == "-1").all(axis=None)
+
+
+def test_isFlagged(data):
+ flagger = PositionalFlagger().initFlags(data=data)
+ field = data.columns[0]
+
+ loc_sus = slice(1, 20, 2)
+ flagger = flagger.setFlags(field=field, loc=loc_sus, flag=flagger.SUSPICIOUS)
+ assert (flagger.isFlagged(field=field, comparator=">=", flag=flagger.SUSPICIOUS)[loc_sus] == True).all(axis=None)
+ assert (flagger.isFlagged(field=field, comparator=">", flag=flagger.SUSPICIOUS) == False).all(axis=None)
+
+ loc_bad = slice(1, 10, 2)
+ flagger = flagger.setFlags(field=field, loc=loc_bad, flag=flagger.BAD)
+ assert (flagger.isFlagged(field=field, comparator=">")[loc_sus] == True).all(axis=None)
+ assert (flagger.isFlagged(field=field, comparator=">=", flag=flagger.BAD)[loc_bad] == True).all(axis=None)
+ assert (flagger.isFlagged(field=field, comparator=">", flag=flagger.BAD) == False).all(axis=None)