|
|
import sys
|
|
|
sys.path.append("/home/jeandet/Documents/prog/build-SciQLop-Desktop-Debug/core")
|
|
|
import traceback
|
|
|
import os
|
|
|
from datetime import datetime, timedelta, timezone
|
|
|
import PythonProviders
|
|
|
import pysciqlopcore
|
|
|
import numpy as np
|
|
|
import pandas as pds
|
|
|
import requests
|
|
|
import copy
|
|
|
from spwc.amda import AMDA
|
|
|
|
|
|
amda = AMDA()
|
|
|
|
|
|
def get_sample(metadata,start,stop):
|
|
|
ts_type = pysciqlopcore.ScalarTimeSerie
|
|
|
default_ctor_args = 1
|
|
|
try:
|
|
|
param_id = None
|
|
|
for key,value in metadata:
|
|
|
if key == 'xml:id':
|
|
|
param_id = value
|
|
|
elif key == 'type':
|
|
|
if value == 'vector':
|
|
|
ts_type = pysciqlopcore.VectorTimeSerie
|
|
|
elif value == 'multicomponent':
|
|
|
ts_type = pysciqlopcore.MultiComponentTimeSerie
|
|
|
default_ctor_args = (0,2)
|
|
|
tstart=datetime.datetime.fromtimestamp(start, tz=timezone.utc)
|
|
|
tend=datetime.datetime.fromtimestamp(stop, tz=timezone.utc)
|
|
|
df = amda.get_parameter(start_time=tstart, stop_time=tend, parameter_id=param_id, method="REST")
|
|
|
t = np.array([d.timestamp() for d in df.index])
|
|
|
values = df.values
|
|
|
return ts_type(t,values)
|
|
|
except Exception as e:
|
|
|
print(traceback.format_exc())
|
|
|
print("Error in amda.py ",str(e))
|
|
|
return ts_type(default_ctor_args)
|
|
|
|
|
|
|
|
|
if len(amda.component) is 0:
|
|
|
amda.update_inventory()
|
|
|
parameters = copy.deepcopy(amda.parameter)
|
|
|
for name,component in amda.component.items():
|
|
|
if 'components' in parameters[component['parameter']]:
|
|
|
parameters[component['parameter']]['components'].append(component)
|
|
|
else:
|
|
|
parameters[component['parameter']]['components']=[component]
|
|
|
|
|
|
products = []
|
|
|
for key,parameter in parameters.items():
|
|
|
path = f"/AMDA/{parameter['mission']}/{parameter['instrument']}/{parameter['dataset']}/{parameter['name']}"
|
|
|
components = [component['name'] for component in parameter.get('components',[])]
|
|
|
metadata = [ (key,item) for key,item in parameter.items() if key is not 'components' ]
|
|
|
n_components = parameter.get('size',0)
|
|
|
if n_components is '3':
|
|
|
metadata.append(("type","vector"))
|
|
|
elif n_components !=0:
|
|
|
metadata.append(("type","multicomponent"))
|
|
|
else:
|
|
|
metadata.append(("type","scalar"))
|
|
|
products.append( (path, components, metadata))
|
|
|
|
|
|
PythonProviders.register_product(products, get_sample)
|
|
|
|
|
|
|
|
|
|