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, )