def plot_v1_0():
"""
API Format: /api/v1.0/plot/?query='...'&format
query = {
dataset : Dataset to extract data
names :
plottitle : Title of Plot (Default if blank)
quantum : (year, month, day, hour)
showmap : Include a map of the plots location on the map
station : Coordinates of the point/line/area/etc
time : Time retrieved data was gathered/modeled
type : File / Plot Type (Check Navigator for Possible options)
variable : Type of data to plot - Options found using /api/variables/?dataset='...'
}
**Query must be written in JSON and converted to encodedURI**
**Not all components of query are required
"""
if request.method == 'GET':
args = request.args
else:
args = request.form
if "query" not in args:
raise APIError("Please provide a query.")
query = json.loads(args.get('query'))
fmt = args.get('format')
if fmt == 'json':
def make_response(data, mime):
b64 = base64.encodebytes(data).decode()
return Response(json.dumps("data:%s;base64,%s" % (mime, b64)),
status=200,
mimetype="application/json")
else:
def make_response(data, mime):
return Response(data, status=200, mimetype=mime)
dataset = query.get('dataset')
plottype = query.get('type')
options = {
'format': fmt,
'size': args.get('size', '15x9'),
'dpi': args.get('dpi', 72)
}
# Determine which plotter we need.
if plottype == 'map':
plotter = MapPlotter(dataset, query, **options)
elif plottype == 'transect':
plotter = TransectPlotter(dataset, query, **options)
elif plottype == 'timeseries':
plotter = TimeseriesPlotter(dataset, query, **options)
elif plottype == 'ts':
plotter = TemperatureSalinityPlotter(dataset, query, **options)
elif plottype == 'sound':
plotter = SoundSpeedPlotter(dataset, query, **options)
elif plottype == 'profile':
plotter = ProfilePlotter(dataset, query, **options)
elif plottype == 'hovmoller':
plotter = HovmollerPlotter(dataset, query, **options)
elif plottype == 'observation':
plotter = ObservationPlotter(dataset, query, **options)
elif plottype == 'track':
plotter = TrackPlotter(dataset, query, **options)
elif plottype == 'class4':
plotter = Class4Plotter(dataset, query, **options)
elif plottype == 'stick':
plotter = StickPlotter(dataset, query, **options)
else:
raise APIError(
"You Have Not Selected a Plot Type - Please Review your Query")
if 'data' in request.args:
data = plotter.prepare_plot()
return data
img, mime, filename = plotter.run()
if img:
response = make_response(img, mime)
else:
raise FAILURE
if 'save' in args:
response.headers[
'Content-Disposition'] = "attachment; filename=\"%s\"" % filename
response.cache_control.max_age = 300
if 'data' in args:
plotData = {
'data': str(resp),
'shape': resp.shape,
'mask': str(resp.mask)
}
plotData = json.dumps(plotData)
return Response(plotData, status=200, mimetype='application/json')
return response
def plot():
if request.method == "GET":
if 'query' not in request.args:
raise FAILURE
query = json.loads(request.args.get('query'))
else:
if 'query' not in request.form:
raise FAILURE
query = json.loads(request.form.get('query'))
if ("format" in request.args and request.args.get("format") == "json") or \
("format" in request.form and request.form.get("format") == "json"):
# Generates a Base64 encoded string
def make_response(data, mime):
b64 = base64.b64encode(data)
return Response(json.dumps("data:%s;base64,%s" % (mime, b64)),
status=200,
mimetype="application/json")
else:
def make_response(data, mime):
return Response(data, status=200, mimetype=mime)
dataset = query.get('dataset')
opts = {
'dpi': 72,
'query': query,
}
plottype = query.get('type')
size = None
if 'save' in request.args:
if 'size' in request.args:
size = request.args.get('size')
if 'dpi' in request.args:
opts['dpi'] = request.args.get('dpi')
if 'format' in request.args:
opts['format'] = request.args.get('format')
if size is None:
opts['size'] = '11x9'
else:
opts['size'] = size
filename = 'png'
img = ""
# Determine which plotter we need.
if plottype == 'map':
plotter = MapPlotter(dataset, query, request.args.get('format'))
elif plottype == 'transect':
plotter = TransectPlotter(dataset, query, request.args.get('format'))
elif plottype == 'timeseries':
plotter = TimeseriesPlotter(dataset, query, request.args.get('format'))
elif plottype == 'ts':
plotter = TemperatureSalinityPlotter(dataset, query,
request.args.get('format'))
elif plottype == 'sound':
plotter = SoundSpeedPlotter(dataset, query, request.args.get('format'))
elif plottype == 'profile':
plotter = ProfilePlotter(dataset, query, request.args.get('format'))
elif plottype == 'hovmoller':
plotter = HovmollerPlotter(dataset, query, request.args.get('format'))
elif plottype == 'observation':
plotter = ObservationPlotter(dataset, query,
request.args.get('format'))
elif plottype == 'drifter':
plotter = DrifterPlotter(dataset, query, request.args.get('format'))
elif plottype == 'class4':
plotter = Class4Plotter(dataset, query, request.args.get('format'))
elif plottype == 'stick':
plotter = StickPlotter(dataset, query, request.args.get('format'))
else:
raise FAILURE
# Get the data from the selected plotter.
img, mime, filename = plotter.run(size=size, dpi=request.args.get('dpi'))
if img != "":
response = make_response(img, mime)
else:
raise FAILURE
if 'save' in request.args:
response.headers[
'Content-Disposition'] = "attachment; filename=\"%s\"" % filename
response.cache_control.max_age = 300
return response
def plot_impl(args, query=None):
"""
API Format: /plot/?query='...'&format
query = {
dataset : Dataset to extract data
names :
plottitle : Title of Plot (Default if blank)
quantum : (year, month, day, hour)
showmap : Include a map of the plots location on the map
station : Coordinates of the point/line/area/etc
time : Time retrieved data was gathered/modeled
type : File / Plot Type (Check Navigator for Possible options)
variable : Type of data to plot - Options found using /api/variables/?dataset='...'
}
**Query must be written in JSON and converted to encodedURI**
**Not all components of query are required
"""
#Checks if query has already been extracted from args
if query == None:
if 'query' not in args:
raise APIError(
"Please Specify a Query - This should be written in JSON and converted to an encodedURI"
)
query = json.loads(args.get('query'))
if ("format" in args and args.get("format") == "json"):
# Generates a Base64 encoded string
def make_response(data, mime):
b64 = base64.encodebytes(data).decode()
return Response(json.dumps("data:%s;base64,%s" % (mime, b64)),
status=200,
mimetype="application/json")
else:
def make_response(data, mime):
return Response(data, status=200, mimetype=mime)
dataset = query.get('dataset')
opts = {
'dpi': 72,
'query': query,
}
plottype = query.get('type')
size = None
if 'save' in args:
if 'size' in args:
size = args.get('size')
if 'dpi' in args:
opts['dpi'] = args.get('dpi')
if 'format' in args:
opts['format'] = args.get('format')
if size is None:
opts['size'] = '11x9'
else:
opts['size'] = size
filename = 'png'
img = ""
# Determine which plotter we need.
if plottype == 'map':
plotter = MapPlotter(dataset, query, args.get('format'))
elif plottype == 'transect':
plotter = TransectPlotter(dataset, query, args.get('format'))
elif plottype == 'timeseries':
plotter = TimeseriesPlotter(dataset, query, args.get('format'))
elif plottype == 'ts':
plotter = TemperatureSalinityPlotter(dataset, query,
args.get('format'))
elif plottype == 'sound':
plotter = SoundSpeedPlotter(dataset, query, args.get('format'))
elif plottype == 'profile':
plotter = ProfilePlotter(dataset, query, args.get('format'))
elif plottype == 'hovmoller':
plotter = HovmollerPlotter(dataset, query, args.get('format'))
elif plottype == 'observation':
plotter = ObservationPlotter(dataset, query, args.get('format'))
elif plottype == 'drifter':
plotter = DrifterPlotter(dataset, query, args.get('format'))
elif plottype == 'class4':
plotter = Class4Plotter(dataset, query, args.get('format'))
elif plottype == 'stick':
plotter = StickPlotter(dataset, query, args.get('format'))
else:
raise APIError(
"You Have Not Selected a Plot Type - Please Review your Query")
# Get the data from the selected plotter.
if 'data' in request.args:
data = plotter.prepare_plot(size=size, dpi=args.get('dpi'))
return data
img, mime, filename = plotter.run(size=size, dpi=args.get('dpi'))
if img != "":
response = make_response(img, mime)
else:
raise FAILURE
if 'save' in args:
response.headers[
'Content-Disposition'] = "attachment; filename=\"%s\"" % filename
response.cache_control.max_age = 300
return response
def plot_v1_0():
"""
API Format: /api/v1.0/plot/?query='...'&format
query = {
dataset : Dataset to extract data
names :
plottitle : Title of Plot (Default if blank)
showmap : Include a map of the plots location on the map
station : Coordinates of the point/line/area/etc
time : Time retrieved data was gathered/modeled
type : File / Plot Type (Check Navigator for Possible options)
variable : Variable key (e.g. votemper)
}
**Query must be written in JSON and converted to encodedURI**
**Not all components of query are required
"""
if request.method == "GET":
args = request.args
else:
args = request.form
if "query" not in args:
raise APIError("Please provide a query.")
query = json.loads(args.get("query"))
fmt = args.get("format")
if fmt == "json":
def make_response(data, mime):
b64 = base64.encodebytes(data).decode()
return Response(
json.dumps("data:%s;base64,%s" % (mime, b64)),
status=200,
mimetype="application/json",
)
else:
def make_response(data, mime):
return Response(data, status=200, mimetype=mime)
dataset = query.get("dataset")
plottype = query.get("type")
options = {
"format": fmt,
"size": args.get("size", "15x9"),
"dpi": args.get("dpi", 72),
}
# Determine which plotter we need.
if plottype == "map":
plotter = MapPlotter(dataset, query, **options)
elif plottype == "transect":
plotter = TransectPlotter(dataset, query, **options)
elif plottype == "timeseries":
plotter = TimeseriesPlotter(dataset, query, **options)
elif plottype == "ts":
plotter = TemperatureSalinityPlotter(dataset, query, **options)
elif plottype == "sound":
plotter = SoundSpeedPlotter(dataset, query, **options)
elif plottype == "profile":
plotter = ProfilePlotter(dataset, query, **options)
elif plottype == "hovmoller":
plotter = HovmollerPlotter(dataset, query, **options)
elif plottype == "observation":
plotter = ObservationPlotter(dataset, query, **options)
elif plottype == "track":
plotter = TrackPlotter(dataset, query, **options)
elif plottype == "class4":
plotter = Class4Plotter(dataset, query, **options)
elif plottype == "stick":
plotter = StickPlotter(dataset, query, **options)
else:
raise APIError("You Have Not Selected a Plot Type - Please Review your Query")
if "data" in request.args:
data = plotter.prepare_plot()
return data
img, mime, filename = plotter.run()
if img:
response = make_response(img, mime)
else:
raise FAILURE
if "save" in args:
response.headers["Content-Disposition"] = 'attachment; filename="%s"' % filename
response.cache_control.max_age = 300
if "data" in args:
plotData = {
"data": str(resp), # noqa: F821
"shape": resp.shape, # noqa: F821
"mask": str(resp.mask), # noqa: F821
}
plotData = json.dumps(plotData)
return Response(plotData, status=200, mimetype="application/json")
return response