reader: fixed the loss of function names through the config interface

saqc/core/core.py

@@ -141,7 +141,7 @@ class SaQC(FuncModules):
     def readConfig(self, fname):
         from saqc.core.reader import readConfig
         out = stdcopy.deepcopy(self)
-        out._to_call.extend(readConfig(fname, self._flags))
+        out._to_call.extend(readConfig(fname, self._flags, self._nodata))
         return out
 
     def _expandFields(self, selector: ColumnSelector, func: SaQCFunction, variables: pd.Index) -> Sequence[Tuple[ColumnSelector, SaQCFunction]]:
@@ -178,12 +178,10 @@ class SaQC(FuncModules):
                     data_result, flags_result = _saqcCallFunc(sel, control, func, data, flags)
                 except Exception as e:
                     t1 = timeit.default_timer()
-                    logger.debug(f"{func.name} failed after {t1 - t0} sec")
                     _handleErrors(e, sel.field, control, func, self._error_policy)
                     continue
                 else:
                     t1 = timeit.default_timer()
-                    logger.debug(f"{func.name} finished after {t1 - t0} sec")
 
                 if control.plot:
                     plotHook(

saqc/core/reader.py

@@ -56,7 +56,7 @@ def _injectOptionalColumns(df):
     return df
 
 
-def _parseConfig(df, flags):
+def _parseConfig(df, flags, nodata):
     funcs = []
     for lineno, (_, target, expr, plot) in enumerate(df.itertuples()):
         if target == "None" or pd.isnull(target) or pd.isnull(expr):
@@ -83,13 +83,13 @@ def _parseConfig(df, flags):
             expression=expr
         )
 
-        f = func.bind(**kwargs)
+        f = func.bind(**{"nodata": nodata, **kwargs})
 
         funcs.append((selector, control, f))
     return funcs
 
 
-def readConfig(fname, flags):
+def readConfig(fname, flags, nodata):
     df = pd.read_csv(
         fname,
         sep=r"\s*;\s*",
@@ -108,4 +108,4 @@ def readConfig(fname, flags):
     df[F.TEST] = df[F.TEST].replace(r"^\s*$", np.nan, regex=True)
     df[F.PLOT] = df[F.PLOT].replace({"False": "", EMPTY: "", np.nan: ""})
     df = df.astype({F.PLOT: bool})
-    return _parseConfig(df, flags)
+    return _parseConfig(df, flags, nodata)