def get_uframe_toc():
uframe_url = current_app.config['UFRAME_URL'] + current_app.config[
'UFRAME_TOC']
r = requests.get(uframe_url)
if r.status_code == 200:
d = r.json()
for row in d:
try:
# FIX FOR THE WRONG WAY ROUND
temp1 = row['platform_code']
temp2 = row['mooring_code']
row['mooring_code'] = temp1
row['platform_code'] = temp2
#
instrument_display_name = PlatformDeployment._get_display_name(
row['reference_designator'])
split_name = instrument_display_name.split(' - ')
row['instrument_display_name'] = split_name[-1]
row['mooring_display_name'] = split_name[0]
row['platform_display_name'] = split_name[1]
except:
row['instrument_display_name'] = ""
row['platform_display_name'] = ""
row['mooring_display_name'] = ""
return d
else:
return []
def get_uframe_toc():
uframe_url = current_app.config['UFRAME_URL'] + current_app.config['UFRAME_TOC']
r = requests.get(uframe_url)
if r.status_code == 200:
d = r.json()
for row in d:
try:
# FIX FOR THE WRONG WAY ROUND
temp1 = row['platform_code']
temp2 = row['mooring_code']
row['mooring_code'] = temp1
row['platform_code'] = temp2
#
instrument_display_name = PlatformDeployment._get_display_name(row['reference_designator'])
split_name = instrument_display_name.split(' - ')
row['instrument_display_name'] = split_name[-1]
row['mooring_display_name'] = split_name[0]
row['platform_display_name'] = split_name[1]
except:
row['instrument_display_name'] = ""
row['platform_display_name'] = ""
row['mooring_display_name'] = ""
return d
else:
return []
def get_svg_plot(instrument, stream):
# from ooiservices.app.uframe.controller import split_stream_name
# Ok first make a list out of stream and instrument
instrument = instrument.split(',')
#instrument.append(instrument[0])
stream = stream.split(',')
#stream.append(stream[0])
plot_format = request.args.get('format', 'svg')
# time series vs profile
plot_layout = request.args.get('plotLayout', 'timeseries')
xvar = request.args.get('xvar', 'time')
yvar = request.args.get('yvar', None)
# There can be multiple variables so get into a list
xvar = xvar.split(',')
yvar = yvar.split(',')
if len(instrument) == len(stream):
pass # everything the same
else:
instrument = [instrument[0]]
stream = [stream[0]]
yvar = [yvar[0]]
xvar = [xvar[0]]
# create bool from request
# use_line = to_bool(request.args.get('line', True))
use_scatter = to_bool(request.args.get('scatter', True))
use_event = to_bool(request.args.get('event', True))
qaqc = int(request.args.get('qaqc', 0))
# Get Events!
events = {}
if use_event:
try:
response = _get_events_by_ref_des(instrument[0])
events = json.loads(response.data)
except Exception as err:
current_app.logger.exception(str(err.message))
return jsonify(error=str(err.message)), 400
profileid = request.args.get('profileId', None)
# need a yvar for sure
if yvar is None:
return jsonify(error='Error: yvar is required'), 400
height = float(request.args.get('height', 100)) # px
width = float(request.args.get('width', 100)) # px
# do conversion of the data from pixels to inches for plot
height_in = height / 96.
width_in = width / 96.
# get the data from uFrame
try:
if plot_layout == "depthprofile":
data = get_process_profile_data(stream[0], instrument[0], yvar[0],
xvar[0])
else:
if len(instrument) == 1:
data = get_data(stream[0], instrument[0], yvar, xvar)
elif len(instrument) > 1: # Multiple datasets
data = []
for idx, instr in enumerate(instrument):
stream_data = get_data(stream[idx], instr, [yvar[idx]],
[xvar[idx]])
data.append(stream_data)
except Exception as err:
current_app.logger.exception(str(err.message))
return jsonify(error=str(err.message)), 400
if not data:
return jsonify(error='No data returned for %s' % plot_layout), 400
# return if error
if 'error' in data or 'Error' in data:
return jsonify(error=data['error']), 400
# generate plot
some_tuple = ('a', 'b')
if str(type(data)) == str(
type(some_tuple)) and plot_layout == "depthprofile":
return jsonify(error='tuple data returned for %s' % plot_layout), 400
if isinstance(data, dict):
# get title
title = PlatformDeployment._get_display_name(instrument[0])
if len(title) > 50:
title = ''.join(
title.split('-')[0:-1]) + '\n' + title.split('-')[-1]
data['title'] = title
data['height'] = height_in
data['width'] = width_in
else:
for idx, streamx in enumerate(stream):
title = PlatformDeployment._get_display_name(instrument[idx])
if len(title) > 50:
title = ''.join(
title.split('-')[0:-1]) + '\n' + title.split('-')[-1]
data[idx]['title'] = title
data[idx]['height'] = height_in
data[idx]['width'] = width_in
plot_options = {
'plot_format': plot_format,
'plot_layout': plot_layout,
'use_scatter': use_scatter,
'events': events,
'profileid': profileid,
'width_in': width_in,
'use_qaqc': qaqc,
'st_date': request.args['startdate'],
'ed_date': request.args['enddate']
}
try:
buf = generate_plot(data, plot_options)
content_header_map = {'svg': 'image/svg+xml', 'png': 'image/png'}
return buf.read(), 200, {
'Content-Type': content_header_map[plot_format]
}
except Exception as err:
current_app.logger.exception(str(err.message))
return jsonify(error='Error generating {0} plot: {1}'.format(
plot_options['plot_layout'], str(err.message))), 400
def get_svg_plot(instrument, stream):
# from ooiservices.app.uframe.controller import split_stream_name
# Ok first make a list out of stream and instrument
instrument = instrument.split(',')
#instrument.append(instrument[0])
stream = stream.split(',')
#stream.append(stream[0])
plot_format = request.args.get('format', 'svg')
# time series vs profile
plot_layout = request.args.get('plotLayout', 'timeseries')
xvar = request.args.get('xvar', 'time')
yvar = request.args.get('yvar', None)
# There can be multiple variables so get into a list
xvar = xvar.split(',')
yvar = yvar.split(',')
if len(instrument) == len(stream):
pass # everything the same
else:
instrument = [instrument[0]]
stream = [stream[0]]
yvar = [yvar[0]]
xvar = [xvar[0]]
# create bool from request
# use_line = to_bool(request.args.get('line', True))
use_scatter = to_bool(request.args.get('scatter', True))
use_event = to_bool(request.args.get('event', True))
qaqc = int(request.args.get('qaqc', 0))
# Get Events!
events = {}
if use_event:
try:
response = _get_events_by_ref_des(instrument[0])
events = json.loads(response.data)
except Exception as err:
current_app.logger.exception(str(err.message))
return jsonify(error=str(err.message)), 400
profileid = request.args.get('profileId', None)
# need a yvar for sure
if yvar is None:
return jsonify(error='Error: yvar is required'), 400
height = float(request.args.get('height', 100)) # px
width = float(request.args.get('width', 100)) # px
# do conversion of the data from pixels to inches for plot
height_in = height / 96.
width_in = width / 96.
# get the data from uFrame
try:
if plot_layout == "depthprofile":
data = get_process_profile_data(stream[0], instrument[0], yvar[0], xvar[0])
else:
if len(instrument) == 1:
data = get_data(stream[0], instrument[0], yvar, xvar)
elif len(instrument) > 1: # Multiple datasets
data = []
for idx, instr in enumerate(instrument):
stream_data = get_data(stream[idx], instr, [yvar[idx]], [xvar[idx]])
data.append(stream_data)
except Exception as err:
current_app.logger.exception(str(err.message))
return jsonify(error=str(err.message)), 400
if not data:
return jsonify(error='No data returned for %s' % plot_layout), 400
# return if error
if 'error' in data or 'Error' in data:
return jsonify(error=data['error']), 400
# generate plot
some_tuple = ('a', 'b')
if str(type(data)) == str(type(some_tuple)) and plot_layout == "depthprofile":
return jsonify(error='tuple data returned for %s' % plot_layout), 400
if isinstance(data, dict):
# get title
title = PlatformDeployment._get_display_name(instrument[0])
if len(title) > 50:
title = ''.join(title.split('-')[0:-1]) + '\n' + title.split('-')[-1]
data['title'] = title
data['height'] = height_in
data['width'] = width_in
else:
for idx, streamx in enumerate(stream):
title = PlatformDeployment._get_display_name(instrument[idx])
if len(title) > 50:
title = ''.join(title.split('-')[0:-1]) + '\n' + title.split('-')[-1]
data[idx]['title'] = title
data[idx]['height'] = height_in
data[idx]['width'] = width_in
plot_options = {'plot_format': plot_format,
'plot_layout': plot_layout,
'use_scatter': use_scatter,
'events': events,
'profileid': profileid,
'width_in': width_in,
'use_qaqc': qaqc,
'st_date': request.args['startdate'],
'ed_date': request.args['enddate']}
try:
buf = generate_plot(data, plot_options)
content_header_map = {
'svg' : 'image/svg+xml',
'png' : 'image/png'
}
return buf.read(), 200, {'Content-Type': content_header_map[plot_format]}
except Exception as err:
current_app.logger.exception(str(err.message))
return jsonify(error='Error generating {0} plot: {1}'.format(plot_options['plot_layout'], str(err.message))), 400
