From 73861dbff65460ff3ea8dd8fc49882b4f01c52f1 Mon Sep 17 00:00:00 2001
From: Felix Kleinert <f.kleinert@fz-juelich.de>
Date: Tue, 6 Apr 2021 14:59:41 +0200
Subject: [PATCH] remove some logging.infos
---
mlair/data_handler/abstract_data_handler.py | 2 --
mlair/data_handler/data_handler_single_station.py | 1 -
mlair/data_handler/data_handler_wrf_chem.py | 6 +++---
mlair/data_handler/default_data_handler.py | 10 +++++-----
4 files changed, 8 insertions(+), 11 deletions(-)
diff --git a/mlair/data_handler/abstract_data_handler.py b/mlair/data_handler/abstract_data_handler.py
index 53d45970..419db059 100644
--- a/mlair/data_handler/abstract_data_handler.py
+++ b/mlair/data_handler/abstract_data_handler.py
@@ -6,7 +6,6 @@ import inspect
from typing import Union, Dict
from mlair.helpers import remove_items
-import logging
class AbstractDataHandler:
@@ -14,7 +13,6 @@ class AbstractDataHandler:
_requirements = []
def __init__(self, *args, **kwargs):
- logging.info("Initialise AbstractDataHandler")
pass
@classmethod
diff --git a/mlair/data_handler/data_handler_single_station.py b/mlair/data_handler/data_handler_single_station.py
index 163a0a77..9fdba43c 100644
--- a/mlair/data_handler/data_handler_single_station.py
+++ b/mlair/data_handler/data_handler_single_station.py
@@ -62,7 +62,6 @@ class DataHandlerSingleStation(AbstractDataHandler):
overwrite_local_data: bool = False, transformation=None, store_data_locally: bool = True,
min_length: int = 0, start=None, end=None, variables=None, data_origin: Dict = None,
lazy_preprocessing: bool = False, aggregation_dim=None, **kwargs):
- logging.info(f"Initialise DataHandlerSingleStation")
super().__init__()
self.station = helpers.to_list(station)
self.path = self.setup_data_path(data_path, sampling)
diff --git a/mlair/data_handler/data_handler_wrf_chem.py b/mlair/data_handler/data_handler_wrf_chem.py
index 69d2cb7f..d1f9508d 100644
--- a/mlair/data_handler/data_handler_wrf_chem.py
+++ b/mlair/data_handler/data_handler_wrf_chem.py
@@ -167,6 +167,7 @@ class BaseWrfChemDataLoader:
else:
return dist.argmin(dim)
+ @TimeTrackingWrapper
def _set_dims_as_coords(self):
if self._data is None:
raise IOError(f'{self.__class__.__name__} can not set dims as coords. Use must use `open_data()` before.')
@@ -174,7 +175,7 @@ class BaseWrfChemDataLoader:
for k, _ in data.dims.items():
data = data.assign_coords({k: data[k]})
self._data = data
- logging.info('set dimensions as coordinates')
+ # logging.info('set dimensions as coordinates')
def apply_staged_transormation(self, mapping_of_stag2unstag=None):
if mapping_of_stag2unstag is None:
@@ -396,7 +397,6 @@ class DataHandlerSingleGridColumn(DataHandlerSingleStation):
def __init__(self, *args, external_coords_file=None,
var_logical_z_coord_selector=None,
targetvar_logical_z_coord_selector=None, **kwargs):
- logging.info("Initialise DataHandlerSingleGridColumn")
self.external_coords_file = external_coords_file
self.var_logical_z_coord_selector = self._ret_z_coord_select_if_valid(var_logical_z_coord_selector,
as_input=True)
@@ -608,7 +608,6 @@ class DataHandlerSectorGrid(DataHandlerSingleGridColumn):
_requirements = DataHandlerWRF.requirements()
def __init__(self, *args, radius=None, sectors=None, wind_sector_edge_dim_name=None, **kwargs):
- logging.info("Initialise DataHandlerSectorGrid")
if radius is None:
radius = 100 # km
self.radius = radius
@@ -726,6 +725,7 @@ class DataHandlerSectorGrid(DataHandlerSingleGridColumn):
self.windsector.is_in_sector(sect, loader.geo_infos.bearing.drop('points').squeeze()))
return sec_data
+ @TimeTrackingWrapper
def preselect_and_transform_neighbouring_data_based_on_radius(self, loader):
"""
Select neighbouring grid boxes which have a maximal distance of pre-selected radius from full model field
diff --git a/mlair/data_handler/default_data_handler.py b/mlair/data_handler/default_data_handler.py
index 02b15993..66f6b5b0 100644
--- a/mlair/data_handler/default_data_handler.py
+++ b/mlair/data_handler/default_data_handler.py
@@ -60,14 +60,14 @@ class DefaultDataHandler(AbstractDataHandler):
@classmethod
def build(cls, station: str, **kwargs):
- logging.info(f"build dh: DefaultDataHandler")
sp_keys = {k: copy.deepcopy(kwargs[k]) for k in cls._requirements if k in kwargs}
sp = cls.data_handler(station, **sp_keys)
dp_args = {k: copy.deepcopy(kwargs[k]) for k in cls.own_args("id_class") if k in kwargs}
- try:
- return dask.compute(cls(sp, **dp_args))[0]
- except Exception:
- return cls(sp, **dp_args)
+ return cls(sp, **dp_args)
+ # try:
+ # return dask.compute(cls(sp, **dp_args))[0]
+ # except Exception:
+ # return cls(sp, **dp_args)
def _create_collection(self):
return [self.id_class]
--
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