def make_region_plots(all_observations_list,
region_ids,
months,
plot_folder=env.plot_folder,
html_folder=env.output_folder + 'views/'):
"""Method prepares data for plotting and making the corresponding table for the observations for one
region.
:param all_observations_list:
:param region_ids:
:param months:
:param plot_folder: Folder for saving the plots.
:param html_folder: Output folder for the html files generated.
:return:
"""
for frid in region_ids:
region_observations_list = [
all_obs for all_obs in all_observations_list
if all_obs.ForecastRegionTID == frid
]
region_name = gkdv.get_name('ForecastRegionKDV', frid)
ml.log_and_print(
"[info] plotcalendardata.py -> make_region_plots: {} {}".format(
frid, region_name))
# plot one month at the time
for m in months:
dates = _make_day_data_list(region_observations_list, m, frid=frid)
_make_plot(dates, region_name=region_name, plot_folder=plot_folder)
_make_html(dates, region_name=region_name, html_folder=html_folder)
def __init__(self, d):
self.TripID = int(d["TripID"])
self.ObserverID = int(d["ObserverID"])
self.ObsLocationID = int(d["ObsLocationID"])
self.GeoHazardTID = int(d["GeoHazardTID"])
self.TripTypeTID = int(d["TripTypeTID"])
self.ObservationExpectedTime = fe.unix_time_2_normal( int(d["ObservationExpectedTime"][6:-2]) )
self.Comment = d["Comment"]
self.IsFinished = bool(d["IsFinished"])
self.TripRegistrationTime = fe.unix_time_2_normal( int(d["TripRegistrationTime"][6:-2]) )
if d["TripFinishedTime"] is not None:
self.TripFinishedTime = fe.unix_time_2_normal( int(d["TripFinishedTime"][6:-2]) )
else:
self.TripFinishedTime = None
self.DeviceID = d["DeviceID"]
self.TripTypeName = kdv.get_name("TripTypeKDV", self.TripTypeTID)
def make_svv_plots(all_observations_list,
observer_dict,
region_ids,
months,
plot_folder=env.plot_folder,
html_folder=env.output_folder + 'views/'):
"""
:param all_observations_list:
:param observer_dict:
:param region_ids:
:param months:
:param plot_folder: Folder for saving the plots.
:param html_folder: Output folder for the html files generated.
:return:
"""
# Make a list of all svv observers.
# Look for members of groups with names containing 'svv' or 'vegvesen' or
# look for user nick containing 'svv' or 'vegvesen'
groups = gm.get_observer_group_member()
svv_group_ids_dict = {}
for g in groups:
if 'svv' in g.ObserverGroupName.lower(
) or 'vegvesen' in g.ObserverGroupName.lower():
if g.ObserverGroupName in svv_group_ids_dict.keys():
svv_group_ids_dict[g.ObserverGroupName].append(g.ObserverID)
else:
svv_group_ids_dict[g.ObserverGroupName] = [g.ObserverID]
observer_ids_list = []
for k, v in svv_group_ids_dict.items():
for id in v:
observer_ids_list.append(id)
observer_ids_list = list(set(observer_ids_list)) # remove duplicates
svv_observer_dict = {}
for k, v in observer_dict.items():
if k not in [237, 4075, 6696,
6]: # not elrapp, wyssen-svv, cautus-svv, ragnar
if 'svv' in v.observer_nick.lower(
) or 'vegvesen' in v.observer_nick.lower():
svv_observer_dict[k] = v
if k in observer_ids_list:
if k not in svv_observer_dict.keys():
svv_observer_dict[k] = v
svv_observer_ids = list(svv_observer_dict.keys())
svv_observations_list = [
all_obs for all_obs in all_observations_list
if all_obs.ObserverId in svv_observer_ids
]
for frid in region_ids:
region_observations_list = [
all_obs for all_obs in svv_observations_list
if all_obs.ForecastRegionTID == frid
]
region_name = gkdv.get_name('ForecastRegionKDV', frid)
data_description = 'svv_i_{0}'.format(region_name)
ml.log_and_print(
"[info] plotcalendardata.py -> make_svv_plots: {} {}".format(
frid, region_name))
# plot one month at the time
for m in months:
dates = _make_day_data_list(region_observations_list, m, frid=frid)
_make_plot(dates,
region_name=region_name,
data_description=data_description,
plot_folder=plot_folder)
_make_html(dates,
region_name=region_name,
data_description=data_description,
html_folder=html_folder)