def get_proteins(request):
"""
Returns protein entries.
Returns:
[type]: [description]
"""
query_params = request.args.to_dict()
is_admin, proposal_id_list = proposal.get_proposal_ids_by_username(request)
run_query = False
if is_admin:
run_query = True
else:
if not proposal_id_list:
msg = "No sessions returned. User has no proposals."
else:
if "proposalId" in query_params.keys():
if query_params["proposalId"] in proposal_id_list:
run_query = True
else:
msg = "Proposal with id %s is not associated with user" % query_params["proposalId"]
else:
query_params["proposalId"] = proposal_id_list
if run_query:
return db.get_db_items(
models.Protein,
schemas.protein.dict_schema,
schemas.protein.ma_schema,
query_params,
)
else:
return create_response_item(msg=msg)
def get_motion_corrections(request):
"""
Returns motion_correction based on query parameters.
Args:
query_params ([type]): [description]
Returns:
[type]: [description]
"""
query_params = request.args.to_dict()
#is_admin, proposal_id_list = proposal.get_proposal_ids_by_username(request)
run_query = True
#if is_admin:
# run_query = True
msg = "Unable to run query"
if run_query:
return db.get_db_items(
models.MotionCorrection,
schemas.motion_correction.dict_schema,
schemas.motion_correction.ma_schema,
query_params,
)
else:
return create_response_item(msg=msg)
def get_lab_contacts(request):
"""Returns shipments by query parameters"""
query_params = request.args.to_dict()
return db.get_db_items(
models.LabContact,
schemas.lab_contact.dict_schema,
schemas.lab_contact.ma_schema,
query_params,
)
def get_persons(request):
"""Returns persons by query parameters"""
query_params = request.args.to_dict()
return db.get_db_items(
models.Person,
schemas.person.dict_schema,
schemas.person.ma_schema,
query_params,
)
def get_loaded_samples(request):
"""Returns loaded_samples by query parameters"""
query_params = request.args.to_dict()
return (
db.get_db_items(
models.LoadedSample,
schemas.loaded_sample.dict_schema,
schemas.loaded_sample.ma_schema,
query_params,
),
HTTPStatus.OK,
)
def get_crystals(request):
"""
Returns crystal entries.
Returns:
[type]: [description]
"""
query_params = request.args.to_dict()
return db.get_db_items(
models.Crystal,
schemas.crystal.dict_schema,
schemas.crystal.ma_schema,
query_params,
)
def get_diffraction_plans(request):
"""
Returns diffraction_plan entries.
Returns:
[type]: [description]
"""
query_params = request.args.to_dict()
return db.get_db_items(
models.DiffractionPlan,
schemas.diffraction_plan.dict_schema,
schemas.diffraction_plan.ma_schema,
query_params,
)
def get_samples(request):
"""
Returns sample entries.
Returns:
[type]: [description]
"""
query_params = request.args.to_dict()
return db.get_db_items(
models.BLSample,
schemas.sample.dict_schema,
schemas.sample.ma_schema,
query_params,
)
def get_component_types(request):
"""
Returns component_type entries.
Returns:
[type]: [description]
"""
query_params = request.args.to_dict()
return db.get_db_items(
models.ComponentType,
schemas.component_type.dict_schema,
schemas.component_type.ma_schema,
query_params,
)
def get_db_proposals(query_params={}):
"""Returns proposal db items
Args:
query_params (dict, optional): [description]. Defaults to {}.
Returns:
[type]: [description]
"""
return db.get_db_items(
models.Proposal,
schemas.proposal.dict_schema,
schemas.proposal.ma_schema,
query_params,
)
def get_auto_proc_program_messages(request):
"""
Returns auto_proc_program_message entries.
Returns:
[type]: [description]
"""
query_params = request.args.to_dict()
return db.get_db_items(
models.AutoProcProgramMessage,
schemas.auto_proc_program_message.dict_schema,
schemas.auto_proc_program_message.ma_schema,
query_params,
)
def get_auto_proc_status(request):
"""
Returns auto_proc_status entries.
Returns:
[type]: [description]
"""
query_params = request.args.to_dict()
return db.get_db_items(
models.AutoProcStatus,
schemas.auto_proc_status.dict_schema,
schemas.auto_proc_status.ma_schema,
query_params,
)
def get_auto_proc_program_attachments(request):
"""
Returns auto_proc_program_attachment entries.
Returns:
[type]: [description]
"""
query_params = request.args.to_dict()
return db.get_db_items(
models.AutoProcProgramAttachment,
schemas.auto_proc_program_attachment.dict_schema,
schemas.auto_proc_program_attachment.ma_schema,
query_params,
)
def get_dewars(request):
"""
Returns all dewars.
Returns:
dict: list with dewars]
"""
query_params = request.args.to_dict()
return db.get_db_items(
models.Dewar,
schemas.dewar.dict_schema,
schemas.dewar.ma_schema,
query_params,
)
def get_shipments(request):
"""Returns shipments by query parameters"""
query_params = request.args.to_dict()
run_query, msg = proposal.get_proposal_ids_by_username(request)
if run_query:
return db.get_db_items(
models.Shipping,
schemas.shipping.dict_schema,
schemas.shipping.ma_schema,
query_params,
)
else:
return create_response_item(msg=msg)
def get_data_collections(request):
"""
Returns data collection items based on query parameters.
Args:
query_params ([type]): [description]
Returns:
[type]: [description]
"""
query_params = request.args.to_dict()
return db.get_db_items(
models.DataCollection,
schemas.data_collection.dict_schema,
schemas.data_collection.ma_schema,
query_params,
)
def get_robot_actions(request):
"""
Returns robot_action items based on query parameters.
Args:
query_params (dict): [description]
Returns:
[type]: [description]
"""
query_params = request.args.to_dict()
return db.get_db_items(
models.RobotAction,
schemas.robot_action.dict_schema,
schemas.robot_action.ma_schema,
query_params,
)
def get_beamline_setups(request):
"""
Returns beamline_setup items based on query parameters.
Args:
query_params (dict): [description]
Returns:
[type]: [description]
"""
query_params = request.args.to_dict()
return db.get_db_items(
models.BeamLineSetup,
schemas.beamline_setup.dict_schema,
schemas.beamline_setup.ma_schema,
query_params,
)
def get_beam_calendars(request):
"""
Returns beam_calendar items based on query parameters.
Args:
query_params (dict): [description]
Returns:
[type]: [description]
"""
query_params = request.args.to_dict()
return db.get_db_items(
models.BeamCalendar,
schemas.beam_calendar.dict_schema,
schemas.beam_calendar.ma_schema,
query_params,
)
def get_laboratories(request):
"""
Returns laboratories based on query parameters.
Args:
query_params ([type]): [description]
Returns:
[type]: [description]
"""
query_params = request.args.to_dict()
return db.get_db_items(
models.Laboratory,
schemas.laboratory.dict_schema,
schemas.laboratory.ma_schema,
query_params,
)
def get_detectors(request):
"""
Returns detector items based on query parameters.
Args:
query_params (dict): [description]
Returns:
[type]: [description]
"""
query_params = request.args.to_dict()
return db.get_db_items(
models.Detector,
schemas.detector.dict_schema,
schemas.detector.ma_schema,
query_params,
)
def get_sample_delivery_devices(request):
"""Returns all sample delivery devices.
Args:
query_params ([type]): [description]
Returns:
[type]: [description]
"""
query_params = request.args.to_dict()
return (
db.get_db_items(
models.SampleDeliveryDevice,
schemas.sample_delivery_device.f_schema,
schemas.sample_delivery_device.ma_schema,
query_params,
),
HTTPStatus.OK,
)
