def put(self, instrument_id):
"""
---
description: Update instrument
tags:
- instruments
parameters:
- in: path
name: instrument_id
required: true
schema:
type: integer
requestBody:
content:
application/json:
schema: InstrumentNoID
responses:
200:
content:
application/json:
schema: Success
400:
content:
application/json:
schema: Error
"""
data = self.get_json()
data['id'] = int(instrument_id)
# permission check
instrument = Instrument.get_if_accessible_by(
int(instrument_id), self.current_user, mode='update'
)
if instrument is None:
return self.error(f'Missing instrument with ID {instrument_id}')
filters = instrument.filters
sensitivity_data = data.get('sensitivity_data', None)
if sensitivity_data:
if not set(sensitivity_data.keys()).issubset(filters):
return self.error(
'Filter names must be present in both sensitivity_data property and filters property'
)
field_data = data.pop("field_data", None)
field_region = data.pop("field_region", None)
field_fov_type = data.pop("field_fov_type", None)
field_fov_attributes = data.pop("field_fov_attributes", None)
if (field_region is not None) and (field_fov_type is not None):
return self.error('must supply only one of field_region or field_fov_type')
if field_region is not None:
regions = Regions.parse(field_region, format='ds9')
data['region'] = regions.serialize(format='ds9')
if field_fov_type is not None:
if field_fov_attributes is None:
return self.error(
'field_fov_attributes required if field_fov_type supplied'
)
if not field_fov_type.lower() in ["circle", "rectangle"]:
return self.error('field_fov_type must be circle or rectangle')
if isinstance(field_fov_attributes, list):
field_fov_attributes = [float(x) for x in field_fov_attributes]
else:
field_fov_attributes = [float(field_fov_attributes)]
center = SkyCoord(0.0, 0.0, unit='deg', frame='icrs')
if field_fov_type.lower() == "circle":
if not len(field_fov_attributes) == 1:
return self.error(
'If field_fov_type is circle, then should supply only radius for field_fov_attributes'
)
radius = field_fov_attributes[0]
regions = CircleSkyRegion(center=center, radius=radius * u.deg)
elif field_fov_type.lower() == "rectangle":
if not len(field_fov_attributes) == 2:
return self.error(
'If field_fov_type is rectangle, then should supply width and height for field_fov_attributes'
)
width, height = field_fov_attributes
regions = RectangleSkyRegion(
center=center, width=width * u.deg, height=height * u.deg
)
data['region'] = regions.serialize(format='ds9')
schema = Instrument.__schema__()
try:
schema.load(data, partial=True)
except ValidationError as exc:
return self.error(
'Invalid/missing parameters: ' f'{exc.normalized_messages()}'
)
self.verify_and_commit()
if field_data is not None:
if (field_region is None) and (field_fov_type is None):
return self.error(
'field_region or field_fov_type is required with field_data'
)
if type(field_data) is str:
field_data = pd.read_table(StringIO(field_data), sep=",").to_dict(
orient='list'
)
if not {'ID', 'RA', 'Dec'}.issubset(field_data):
return self.error("ID, RA, and Dec required in field_data.")
log(f"Started generating fields for instrument {instrument.id}")
# run async
IOLoop.current().run_in_executor(
None,
lambda: add_tiles(instrument.id, instrument.name, regions, field_data),
)
self.push_all(action="skyportal/REFRESH_INSTRUMENTS")
return self.success()
def post(self):
# See bottom of this file for redoc docstring -- moved it there so that
# it could be made an f-string.
data = self.get_json()
telescope_id = data.get('telescope_id')
telescope = Telescope.get_if_accessible_by(
telescope_id, self.current_user, raise_if_none=True, mode="read"
)
sensitivity_data = data.get("sensitivity_data", None)
if sensitivity_data:
filters = data.get("filters", [])
if not set(sensitivity_data.keys()).issubset(filters):
return self.error(
'Sensitivity_data filters must be a subset of the instrument filters'
)
field_data = data.pop("field_data", None)
field_region = data.pop("field_region", None)
field_fov_type = data.pop("field_fov_type", None)
field_fov_attributes = data.pop("field_fov_attributes", None)
if (field_region is not None) and (field_fov_type is not None):
return self.error('must supply only one of field_region or field_fov_type')
if field_region is not None:
regions = Regions.parse(field_region, format='ds9')
data['region'] = regions.serialize(format='ds9')
if field_fov_type is not None:
if field_fov_attributes is None:
return self.error(
'field_fov_attributes required if field_fov_type supplied'
)
if not field_fov_type.lower() in ["circle", "rectangle"]:
return self.error('field_fov_type must be circle or rectangle')
if isinstance(field_fov_attributes, list):
field_fov_attributes = [float(x) for x in field_fov_attributes]
else:
field_fov_attributes = [float(field_fov_attributes)]
center = SkyCoord(0.0, 0.0, unit='deg', frame='icrs')
if field_fov_type.lower() == "circle":
if not len(field_fov_attributes) == 1:
return self.error(
'If field_fov_type is circle, then should supply only radius for field_fov_attributes'
)
radius = field_fov_attributes[0]
regions = CircleSkyRegion(center=center, radius=radius * u.deg)
elif field_fov_type.lower() == "rectangle":
if not len(field_fov_attributes) == 2:
return self.error(
'If field_fov_type is rectangle, then should supply width and height for field_fov_attributes'
)
width, height = field_fov_attributes
regions = RectangleSkyRegion(
center=center, width=width * u.deg, height=height * u.deg
)
data['region'] = regions.serialize(format='ds9')
schema = Instrument.__schema__()
try:
instrument = schema.load(data)
except ValidationError as exc:
return self.error(
'Invalid/missing parameters: ' f'{exc.normalized_messages()}'
)
existing_instrument = (
Instrument.query_records_accessible_by(
self.current_user,
)
.filter(
Instrument.name == data.get('name'),
Instrument.telescope_id == telescope_id,
)
.first()
)
if existing_instrument is None:
instrument.telescope = telescope
DBSession().add(instrument)
DBSession().commit()
else:
instrument = existing_instrument
if field_data is not None:
if (field_region is None) and (field_fov_type is None):
return self.error(
'field_region or field_fov_type is required with field_data'
)
if type(field_data) is str:
field_data = pd.read_table(StringIO(field_data), sep=",").to_dict(
orient='list'
)
if not {'ID', 'RA', 'Dec'}.issubset(field_data):
return self.error("ID, RA, and Dec required in field_data.")
log(f"Started generating fields for instrument {instrument.id}")
# run async
IOLoop.current().run_in_executor(
None,
lambda: add_tiles(instrument.id, instrument.name, regions, field_data),
)
self.push_all(action="skyportal/REFRESH_INSTRUMENTS")
return self.success(data={"id": instrument.id})
