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machine-learning
MLAir
Commits
ecc534fa
Commit
ecc534fa
authored
4 years ago
by
Felix Kleinert
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working version of sector Datahandler
parent
29e9f14a
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1 merge request
!259
Draft: Resolve "WRF-Datahandler should inherit from SingleStationDatahandler"
Pipeline
#64770
passed
4 years ago
Stage: test
Stage: docs
Stage: pages
Stage: deploy
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1 changed file
mlair/data_handler/data_handler_wrf_chem.py
+20
-20
20 additions, 20 deletions
mlair/data_handler/data_handler_wrf_chem.py
with
20 additions
and
20 deletions
mlair/data_handler/data_handler_wrf_chem.py
+
20
−
20
View file @
ecc534fa
...
...
@@ -121,14 +121,12 @@ class BaseWrfChemDataLoader:
def
dataset_search_str
(
self
):
return
os
.
path
.
join
(
self
.
data_path
,
self
.
common_file_starter
+
'
*
'
)
@TimeTrackingWrapper
def
open_data
(
self
):
logging
.
debug
(
f
'
open data:
{
self
.
dataset_search_str
}
'
)
data
=
xr
.
open_mfdataset
(
paths
=
self
.
dataset_search_str
,
combine
=
'
nested
'
,
concat_dim
=
self
.
time_dim_name
,
parallel
=
True
)
self
.
_data
=
data
@TimeTrackingWrapper
def
assign_coords
(
self
,
coords
,
**
coords_kwargs
):
"""
Assign coords to WrfChemDataHandler._data
...
...
@@ -136,7 +134,6 @@ class BaseWrfChemDataLoader:
"""
self
.
_data
=
self
.
_data
.
assign_coords
(
coords
,
**
coords_kwargs
)
@TimeTrackingWrapper
def
rechunk_data
(
self
,
chunks
=
None
,
name_prefix
=
'
xarray-
'
,
token
=
None
,
lock
=
False
):
self
.
_data
=
self
.
_data
.
chunk
(
chunks
=
chunks
,
name_prefix
=
name_prefix
,
token
=
token
,
lock
=
lock
)
...
...
@@ -157,12 +154,10 @@ class BaseWrfChemDataLoader:
status
=
'
FAIL
'
print
(
f
'
{
i
}
:
{
filenamestr
}
{
status
}
'
)
@TimeTrackingWrapper
def
get_distances
(
self
,
lat
,
lon
):
dist
=
haversine_dist
(
lat1
=
self
.
_data
.
XLAT
,
lon1
=
self
.
_data
.
XLONG
,
lat2
=
lat
,
lon2
=
lon
)
return
dist
@TimeTrackingWrapper
def
get_bearing
(
self
,
lat
,
lon
,
points_last
=
True
):
bearing
=
bearing_angle
(
lat1
=
lat
,
lon1
=
lon
,
lat2
=
self
.
_data
.
XLAT
,
lon2
=
self
.
_data
.
XLONG
)
if
points_last
:
...
...
@@ -170,7 +165,6 @@ class BaseWrfChemDataLoader:
else
:
return
bearing
@TimeTrackingWrapper
def
compute_nearest_icoordinates
(
self
,
lat
,
lon
,
dim
=
None
):
dist
=
self
.
get_distances
(
lat
=
lat
,
lon
=
lon
)
...
...
@@ -179,7 +173,6 @@ 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.
'
)
...
...
@@ -189,7 +182,6 @@ class BaseWrfChemDataLoader:
self
.
_data
=
data
logging
.
info
(
'
set dimensions as coordinates
'
)
@TimeTrackingWrapper
def
apply_staged_transormation
(
self
,
mapping_of_stag2unstag
=
None
):
if
mapping_of_stag2unstag
is
None
:
mapping_of_stag2unstag
=
{
'
U
'
:
'
U10
'
,
'
V
'
:
'
V10
'
,
'
U10
'
:
'
U10
'
,
'
V10
'
:
'
V10
'
}
...
...
@@ -230,7 +222,6 @@ class BaseWrfChemDataLoader:
self
.
_data
[
u_ll_name
]
=
ull
self
.
_data
[
v_ll_name
]
=
vll
@TimeTrackingWrapper
def
set_interpolated_field
(
self
,
staged_field
:
xr
.
DataArray
,
target_field
:
xr
.
DataArray
,
dropped_staged_attrs
:
List
[
str
]
=
None
,
**
kwargs
):
stagger_attr_name
=
kwargs
.
pop
(
'
stagger_attr_name
'
,
'
stagger
'
)
...
...
@@ -291,7 +282,6 @@ class SingleGridColumnWrfChemDataLoader(BaseWrfChemDataLoader):
# self._set_geoinfos()
logging
.
debug
(
"
SingleGridColumnWrfChemDataLoader Initialised
"
)
@TimeTrackingWrapper
def
__enter__
(
self
):
self
.
open_data
()
...
...
@@ -311,7 +301,6 @@ class SingleGridColumnWrfChemDataLoader(BaseWrfChemDataLoader):
self
.
data
.
close
()
gc
.
collect
()
@TimeTrackingWrapper
def
_set_geoinfos
(
self
):
# identify nearest coords
self
.
_set_nearest_icoords
(
dim
=
[
self
.
logical_x_coord_name
,
self
.
logical_y_coord_name
])
...
...
@@ -346,7 +335,6 @@ class SingleGridColumnWrfChemDataLoader(BaseWrfChemDataLoader):
def
geo_infos
(
self
):
return
self
.
_geo_infos
@TimeTrackingWrapper
def
_apply_external_coordinates
(
self
):
ds_coords
=
xr
.
open_dataset
(
self
.
external_coords_file
,
chunks
=
{
'
south_north
'
:
36
,
'
west_east
'
:
40
})
data
=
self
.
_data
...
...
@@ -356,7 +344,6 @@ class SingleGridColumnWrfChemDataLoader(BaseWrfChemDataLoader):
ds_coords
.
close
()
logging
.
debug
(
'
setup external coords
'
)
@TimeTrackingWrapper
def
_set_coords
(
self
,
coords
):
__set_coords
=
dict
(
lat
=
None
,
lon
=
None
)
if
len
(
coords
)
!=
2
:
...
...
@@ -372,14 +359,12 @@ class SingleGridColumnWrfChemDataLoader(BaseWrfChemDataLoader):
else
:
raise
TypeError
(
f
"
`coords
'
must be a tuple of floats or a dict, but is of type:
{
type
(
coords
)
}
"
)
@TimeTrackingWrapper
def
get_coordinates
(
self
,
as_arrays
=
False
)
->
Union
[
Tuple
[
np
.
ndarray
,
np
.
ndarray
],
dict
]:
if
as_arrays
:
return
np
.
array
(
self
.
__coords
[
'
lat
'
]),
np
.
array
(
self
.
__coords
[
'
lon
'
])
else
:
return
self
.
__coords
@TimeTrackingWrapper
def
_set_nearest_icoords
(
self
,
dim
=
None
):
lat
,
lon
=
self
.
get_coordinates
(
as_arrays
=
True
)
self
.
_nearest_icoords
=
dask
.
compute
(
self
.
compute_nearest_icoordinates
(
lat
,
lon
,
dim
))[
0
]
...
...
@@ -643,7 +628,6 @@ class DataHandlerSectorGrid(DataHandlerSingleGridColumn):
self
.
wind_dir_name
=
None
super
().
__init__
(
*
args
,
**
kwargs
)
@TimeTrackingWrapper
def
extract_data_from_loader
(
self
,
loader
):
wind_dir_name
=
self
.
_get_wind_dir_var_name
(
loader
)
full_data
=
loader
.
data
.
isel
(
loader
.
get_nearest_icoords
()).
squeeze
()
...
...
@@ -706,12 +690,27 @@ class DataHandlerSectorGrid(DataHandlerSingleGridColumn):
# sector_history = sector_history.assign_coords({self.target_dim: sector_history_var_names})
grid_data
=
self
.
preselect_and_transform_neighbouring_data_based_on_radius
(
loader
)
# grid_data = grid_data.expand_dims(self.iter_dim, -1).assign_coords(
# {self.iter_dim: self.history.coords[self.iter_dim].values})
# sec_data_history_var_names = [f"{var}_sect" for var in self.history.coords[self.target_dim].values]
logging
.
info
(
"
preselect_and_transform_neighbouring_data_based_on_radius(loader)
"
)
for
sect
in
existing_sectors
:
# select data in wind sector
sec_data
=
self
.
get_section_data_from_circle
(
grid_data
,
loader
,
sect
)
sec_data
=
self
.
apply_aggregation_method_on_sector_data
(
sec_data
,
loader
)
sec_data_history
=
self
.
_make_and_return_history_window
(
dim_name_of_shift
=
self
.
time_dim
,
window
=
self
.
window_history_size
,
data
=
sec_data
.
to_array
(
self
.
target_dim
)
)
sec_data_history
=
sec_data_history
.
broadcast_like
(
self
.
history
)
sec_data_history
=
sec_data_history
.
transpose
(
*
self
.
history
.
dims
)
sector_history
=
xr
.
where
(
sector_allocation
.
squeeze
()
==
sect
,
sec_data_history
.
sel
({
self
.
time_dim
:
sector_history
[
self
.
time_dim
]}),
sector_history
*
1.
)
sector_history
=
sector_history
.
assign_coords
({
self
.
target_dim
:
sector_history_var_names
})
sector_history
=
sector_history
.
compute
()
combined_history
=
xr
.
concat
([
self
.
history
,
sector_history
],
dim
=
self
.
target_dim
)
# loader.data.T2.where(loader.geo_infos.dist.sel({'points': 0}).drop('points') <= self.radius).where(
# self.windsector.is_in_sector(sect, loader.geo_infos.bearing))
...
...
@@ -722,6 +721,8 @@ class DataHandlerSectorGrid(DataHandlerSingleGridColumn):
# self.windsector.is_in_sector(sect,
# loader.geo_infos.bearing.drop('points').squeeze()))
return
combined_history
else
:
return
self
.
history
def
get_section_data_from_circle
(
self
,
grid_data
,
loader
,
sect
):
...
...
@@ -761,7 +762,6 @@ class DataHandlerSectorGrid(DataHandlerSingleGridColumn):
wind_dir_of_intrest
=
self
.
history
.
sel
({
self
.
target_dim
:
self
.
wind_dir_name
,
self
.
window_dim
:
0
})
return
wind_dir_of_intrest
@TimeTrackingWrapper
def
get_applied_transdormation_on_wind_sector_edges
(
self
):
ws_edges
=
self
.
_get_left_and_right_wind_sector_edges
(
return_as
=
'
xr.da
'
,
dim
=
self
.
wind_sector_edge_dim_name
)
ws_edges
=
self
.
apply_transformation_on_data
(
ws_edges
)
...
...
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