Source code for src.experiment_prototype.experiment_prototype

#!/usr/bin/env python3

This is the base module for all experiments. An experiment will only run if it inherits from
this class.

:copyright: 2018 SuperDARN Canada
:author: Marci Detwiller

# built-in
import copy
import inspect
import os
from pathlib import Path

# third-party
import numpy as np
import re
import structlog

# local
from utils.options import Options
from experiment_prototype.experiment_exception import ExperimentException
from experiment_prototype.experiment_slice import (
from experiment_prototype.interface_classes.scans import Scan
from experiment_prototype.interface_classes.interface_class_base import (

# Obtain the module name that imported this log_config
caller = Path(inspect.stack()[-1].filename)
module_name =".")[0]
log = structlog.getLogger(module_name)


interface_types = tuple(["SCAN", "AVEPERIOD", "SEQUENCE", "CONCURRENT"])
""" Interfacing in this case refers to how two or more slices are meant to be run together.
The following types of interfacing between slices are possible, arranged from highest level
of experiment building-block to the lowest level:

1. **SCAN**

    The scan-by-scan interfacing allows for slices to run a scan of one slice, followed by a scan of the
    second. The scan mode of interfacing typically means that the slice will cycle through all of its
    beams before switching to another slice.

    If any slice in the experiment specifies a value for ``scanbound``, all other slices must also specify
    a value for ``scanbound``. The values do not have to be the same, however.


    This type of interfacing allows for one slice to run its averaging period (also known as integration
    time or integration period), before switching to another slice's averaging period. This type of
    interface effectively creates an interleaving scan where the scans for multiple slices are run 'at
    the same time', by interleaving the averaging periods.

    Slices which are interfaced in this manner must share:

    * the same ``scanbound`` value.


    Sequence interfacing allows for pulse sequences defined in the slices to alternate between each
    other within a single averaging period. It's important to note that data from a single slice is
    averaged only with other data from that slice. So in this case, the averaging period is running two
    slices and can produce two averaged datasets, but the sequences within the averaging period are

    Slices which are interfaced in this manner must share:

    * the same ``scanbound`` value.
    * the same ``intt`` or ``intn`` value.
    * the same ``rx_beam_order`` length (scan length).
    * the same ``txctrfreq`` value.
    * the same ``rxctrfreq`` value.


    Concurrent interfacing allows for pulse sequences to be run together concurrently. Slices will have
    their pulse sequences summed together so that the data transmits at the same time. For example,
    slices of different frequencies can be mixed simultaneously, and slices of different pulse sequences
    can also run together at the cost of having more blanked samples. When slices are interfaced in this
    way the radar is truly transmitting and receiving the slices simultaneously.

    Slices which are interfaced in this manner must share:

    * the same ``scanbound`` value.
    * the same ``intt`` or ``intn`` value.
    * the same ``rx_beam_order`` length (scan length).
    * the same ``txctrfreq`` value.
    * the same ``rxctrfreq`` value.
    * the same ``decimation_scheme``.


possible_scheduling_modes = frozenset(["common", "special", "discretionary"])
default_rx_bandwidth = 5.0e6
transition_bandwidth = 750.0e3

[docs]class ExperimentPrototype: """ The base class for all experiments. This class is used via inheritance to create experiments. A prototype experiment class composed of metadata, including experiment slices (exp_slice) which are dictionaries of radar parameters. Basic, traditional experiments will be composed of a single slice. More complicated experiments will be composed of multiple slices that interface in one of four pre-determined ways, as described under interface_types. Some variables shouldn't be changed by the experiment, and their properties do not have setters. Some variables can be changed in the init of your experiment, and can also be modified in-experiment by the class method 'update' in your experiment class. These variables have been given property setters. The following are the user-modifiable attributes of the ExperimentPrototype that are used to make an experiment. Other parameters are set in the init and cannot be modified after instantiation. * slice_dict: modifiable only using the add_slice, edit_slice, and del_slice methods. * interface: modifiable using the add_slice, edit_slice, and del_slice methods, or by updating the interface dict directly. :param cpid: Unique id necessary for each control program (experiment). Cannot be changed after instantiation. :type cpid: int :param rx_bandwidth: The desired bandwidth for the experiment. Directly determines rx sampling rate of the USRPs. Cannot be changed after instantiation. Default 5.0 MHz. :type rx_bandwidth: float :param tx_bandwidth: The desired tx bandwidth for the experiment. Directly determines tx sampling rate of the USRPs. Cannot be changed after instantiation. Default 5.0 MHz. :type tx_bandwidth: float :param comment_string: Description of experiment for data files. This should be used to describe your overall experiment design. Another comment string exists for every slice added, to describe information that is slice-specific. :type comment_string: str :raises ExperimentException: if cpid is not an integer, cannot be represented by a 16-bit signed integer, is not unique, or is not a positive value :raises ExperimentException: if output sample rate is too high :raises ExperimentException: if transmit bandwidth is too large or not an integer multiple of USRP clock rate :raises ExperimentException: if receive bandwidth is too large or not an integer multiple of USRP clock rate """ def __init__( self, cpid, rx_bandwidth=default_rx_bandwidth, tx_bandwidth=5.0e6, comment_string="", ): if not isinstance(cpid, int): errmsg = "CPID must be a unique int" raise ExperimentException(errmsg) if cpid > np.iinfo(np.int16).max: errmsg = "CPID must be representable by a 16-bit signed integer" raise ExperimentException(errmsg) # Quickly check for uniqueness with a search in the experiments directory first taking care # not to look for CPID in any experiments that are just tests (located in the testing # directory) experiment_files_list = list( Path(f"{BOREALISPATH}/src/borealis_experiments/").glob("*.py") ) self.__experiment_name = self.__class__.__name__ # TODO use this to check the cpid is correct using pygit2, or __class__.__module__ for module name # TODO replace below cpid local uniqueness check with pygit2 or some reference # to a database to to ensure CPID uniqueness and to ensure CPID is entered in the database # for this experiment (this CPID is unique AND its correct given experiment name) cpid_list = {} for experiment_file in experiment_files_list: with open(experiment_file) as file_to_search: for line in file_to_search: # Find the name of the class in the file and break if it matches this class experiment_class_name = re.findall( "class.*\(ExperimentPrototype\):", line ) if experiment_class_name: # Parse out just the name from the experiment, format will be like this: # ['class IBCollabMode(ExperimentPrototype):'] atomic_class_name = ( experiment_class_name[0].split()[1].split("(")[0] ) if self.__experiment_name == atomic_class_name: break # Find any lines that have 'cpid = [integer]' existing_cpid = re.findall("cpid.?=.?[0-9]+", line) if existing_cpid: cpid_list[existing_cpid[0].split("=")[1].strip()] = ( experiment_file ) if str(cpid) in cpid_list.keys(): errmsg = f"CPID must be unique. {cpid} is in use by another local experiment {cpid_list[str(cpid)]}" raise ExperimentException(errmsg) if cpid <= 0: errmsg = ( "The CPID should be a positive number in the experiment. If the embargo" " flag is set, then borealis will configure the CPID to be negative to ." " indicate the data is to be embargoed for one year." ) raise ExperimentException(errmsg) self.__options = ( Options() ) # Load the config, hardware, and restricted frequency data self.__cpid = cpid self.__scheduling_mode = "unknown" if comment_string is None: comment_string = "" self.__comment_string = comment_string self.__slice_dict = {} self.__new_slice_id = 0 self.__txrate = float(tx_bandwidth) # sampling rate, samples per sec, Hz. self.__rxrate = float(rx_bandwidth) # sampling rate for rx in samples per sec # Transmitting is possible in the range of txctrfreq +/- (txrate/2) because we have iq data # Receiving is possible in the range of rxctrfreq +/- (rxrate/2) if self.txrate > self.options.max_tx_sample_rate: errmsg = ( f"Experiment's transmit bandwidth is too large: {self.txrate} greater than " f"max {self.options.max_tx_sample_rate}." ) raise ExperimentException(errmsg) if self.rxrate > self.options.max_rx_sample_rate: errmsg = ( f"Experiment's receive bandwidth is too large: {self.rxrate} greater than " f"max {self.options.max_rx_sample_rate}." ) raise ExperimentException(errmsg) if round(self.options.usrp_master_clock_rate / self.txrate, 3) % 2.0 != 0.0: errmsg = ( f"Experiment's transmit bandwidth {self.txrate} is not possible as it must be an " f"integer divisor of USRP master clock rate {self.options.usrp_master_clock_rate}" ) raise ExperimentException(errmsg) if round(self.options.usrp_master_clock_rate / self.rxrate, 3) % 2.0 != 0.0: errmsg = ( f"Experiment's receive bandwidth {self.rxrate} is not possible as it must be an " f"integer divisor of USRP master clock rate {self.options.usrp_master_clock_rate}" ) raise ExperimentException(errmsg) # This is experiment-wide transmit metadata necessary to build the pulses. This data # cannot change within the experiment and is used in the scan classes to pass information # to where the samples are built. self.__transmit_metadata = { "tx_main_antennas": self.options.tx_main_antennas, "rx_main_antennas": self.options.rx_main_antennas, "rx_intf_antennas": self.options.rx_intf_antennas, "main_antenna_count": self.options.main_antenna_count, "intf_antenna_count": self.options.intf_antenna_count, "tr_window_time": self.options.tr_window_time, "main_antenna_spacing": self.options.main_antenna_spacing, "intf_antenna_spacing": self.options.intf_antenna_spacing, "pulse_ramp_time": self.options.pulse_ramp_time, "max_usrp_dac_amplitude": self.options.max_usrp_dac_amplitude, "rx_sample_rate": self.rxrate, "min_pulse_separation": self.options.min_pulse_separation, "rxrate": self.rxrate, "txrate": self.txrate, "intf_offset": self.options.intf_offset, } # Dictionary of how each exp_slice interacts with the other slices. # NOTE keys are as such: (0,1), (0,2), (1,2), NEVER includes (2,0) etc. # The only interface options are those specified in interface_types. self.__interface = {} # The following are for internal use only, and should not be modified in the experimental # class, but will be modified by the class method build_scans. For this reason they # are private, with getters only, in case they are used for reference by the user. # These are used internally to build iterable objects out of the slice using the # interfacing specified. self.__scan_objects = [] self.__scanbound = False self.__running_experiment = None # this will be of InterfaceClassBase type # This is used for adding and editing slices self.__slice_restrictions = { "tx_bandwidth": self.tx_bandwidth, "rx_bandwidth": self.rx_bandwidth, "transition_bandwidth": transition_bandwidth, } __slice_keys = slice_key_set __hidden_slice_keys = hidden_key_set @property def cpid(self): """ This experiment's CPID (control program ID, a term that comes from ROS). :returns: cpid - read-only, only modified at runtime by set_scheduling_mode() to set to a negative value if the embargo flag was set in the schedule :rtype: int """ return self.__cpid @property def experiment_name(self): """ The experiment class name. :returns: experiment_name :rtype: str """ return self.__experiment_name @property def tx_bandwidth(self): """ The transmission sample rate to the DAC (Hz), and the transmit bandwidth. :returns: tx_bandwidth - read-only :rtype: float """ return self.__txrate @property def txrate(self): """ The transmission sample rate to the DAC (Hz). :returns: txrate - read-only :rtype: float """ return self.__txrate @property def rx_bandwidth(self): """ The receive bandwidth for this experiment, in Hz. :returns: rx_bandwidth - read-only :rtype: float """ return self.__rxrate @property def rxrate(self): """ The receive bandwidth for this experiment, or the receive sampling rate (of I and Q samples) In Hz. :returns: rxrate - read-only :rtype: float """ return self.__rxrate @property def comment_string(self): """ A string related to the experiment, to be placed in the experiment's files. :returns: comment_string - read-only :rtype: str """ return self.__comment_string @property def num_slices(self): """ The number of slices currently in the experiment. Will change after methods add_slice or del_slice are called. :returns: num_slices :rtype: int """ return len(self.__slice_dict) @property def slice_keys(self): """ The list of slice keys available. This cannot be updated. These are the keys in the current ExperimentPrototype slice_keys dictionary (the parameters available for slices). :returns: slice_keys :rtype: frozenset """ return self.__slice_keys @property def slice_dict(self): """ The dictionary of slices. The slice dictionary can be updated in add_slice, edit_slice, and del_slice. The slice dictionary is a dictionary of dictionaries that looks like: { slice_id1 : {slice_key1 : x, slice_key2 : y, ...}, slice_id2 : {slice_key1 : x, slice_key2 : y, ...}, ...} :returns: slice_dict :rtype: dict """ return self.__slice_dict @property def new_slice_id(self): """ The next unique slice id that is available to this instance of the experiment. This gets incremented each time it is called to ensure it returns a unique ID each time. :returns: new_slice_id :rtype: int """ self.__new_slice_id += 1 return self.__new_slice_id - 1 @property def slice_ids(self): """ The list of slice ids that are currently available in this experiment. This can change when add_slice, edit_slice, and del_slice are called. :returns: slice_ids :rtype: list """ return list(self.__slice_dict.keys()) @property def options(self): """ The config options for running this experiment. These cannot be set or removed, but are specified in the config.ini, hdw.dat, and restrict.dat files. :returns: options :rtype: :py:class:`Options` """ return self.__options @property def transmit_metadata(self): """ A dictionary of config options and experiment-set values that cannot change in the experiment, that will be used to build pulse sequences. :returns: transmit_metadata :rtype: dict """ return self.__transmit_metadata @property def interface(self): """ The dictionary of interfacing for the experiment slices. Interfacing should be set up for any slice when it gets added, ie. in add_slice, except for the first slice added. The dictionary of interfacing is setup as: [(slice_id1, slice_id2) : INTERFACING_TYPE, (slice_id1, slice_id3) : INTERFACING_TYPE, ...] for all current slice_ids. :returns: interface :rtype: dict """ return self.__interface @property def scan_objects(self): """ The list of instances of class Scan for use in radar_control. These cannot be modified by the user, but are created using the slice dictionary. :returns: scan_objects :rtype: list """ return self.__scan_objects @property def scheduling_mode(self): """ Return the scheduling mode time type that this experiment is running in. Types are listed in possible_scheduling_modes. Initialized to 'unknown' until set by the experiment handler. :returns: scheduling_mode :rtype: str """ return self.__scheduling_mode def _embargo_files(self, embargo_flag: bool): """ Sets the cpid negative, signifying that the data generated is embargoed for one year by the host institution. Should only be called by the experiment handler after initializing the user's class. :param embargo_flag: Flag to embargo the files :type embargo_flag: bool """ if embargo_flag: self.__cpid = -1 * self.__cpid def _set_scheduling_mode(self, scheduling_mode): """ Set the scheduling mode if the provided mode is valid. Should only be called by the experiment handler after initializing the user's class. :param scheduling_mode: scheduling mode to be set :type scheduling_mode: str :raises ExperimentException: if scheduling mode not valid """ if scheduling_mode in possible_scheduling_modes: self.__scheduling_mode = scheduling_mode else: errmsg = ( f"Scheduling mode {scheduling_mode} set by experiment handler is not " f" a valid mode: {possible_scheduling_modes}" ) raise ExperimentException(errmsg)
[docs] def slice_beam_directions_mapping(self, slice_id): """ A mapping of the beam directions in the given slice id. :param slice_id: id of the slice to get beam directions for. :type slice_id: int :returns: enumeration mapping dictionary of beam number to beam direction(s) in degrees off boresight. :rtype: dict """ if slice_id not in self.slice_ids: return {} beam_directions = self.slice_dict[slice_id].beam_angle mapping = {} for beam_num, beam_dir in enumerate(beam_directions): mapping[beam_num] = beam_dir return mapping
[docs] def check_new_slice_interfacing(self, interfacing_dict): """ Checks that the new slice plays well with its siblings (has interfacing that is resolvable). If so, returns a new dictionary with all interfacing values set. The interfacing assumes that the interfacing_dict given by the user defines the closest interfacing of the new slice with a slice. For example, if the slice is to be 'CONCURRENT' combined with slice 0, the interfacing dict should provide this information. If only 'SCAN' interfacing with slice 1 is provided, then that will be assumed to be the closest and therefore the interfacing with slice 0 will also be 'SCAN'. If no interfacing_dict is provided for a slice, the default is to do 'SCAN' type interfacing for the new slice with all other slices. :param interfacing_dict: the user-provided interfacing dict, which may be empty or incomplete. If empty, all interfacing is assumed to be = 'SCAN' type. If it contains something, we ensure that the interfacing provided makes sense with the values already known for its closest sibling. :type interfacing_dict: dict :returns: full interfacing dictionary. :rtype: dict :raises ExperimentException: if invalid interface types provided or if interfacing can not be resolved. """ for sibling_slice_id, interface_value in interfacing_dict.items(): if interface_value not in interface_types: errmsg = ( f"Interface value with slice {sibling_slice_id}: {interface_value} not " f"valid. Types available are: {interface_types}" ) raise ExperimentException(errmsg) full_interfacing_dict = {} # if this is not the first slice we are setting up, set up interfacing. if len(self.slice_ids) != 0: if len(interfacing_dict.keys()) > 0: # the user provided some keys, so check that keys are valid. # To do this, get the closest interface type. # We assume that the user meant this to be the closest interfacing # for this slice. for sibling_slice_id in interfacing_dict.keys(): if sibling_slice_id not in self.slice_ids: errmsg = ( f"Cannot add slice: the interfacing_dict set interfacing to an unknown " f"slice {sibling_slice_id} not in slice ids {self.slice_ids}" ) raise ExperimentException(errmsg) try: closest_sibling = max( interfacing_dict.keys(), key=lambda k: interface_types.index(interfacing_dict[k]), ) except ValueError as e: # cannot find interface type in list errmsg = ( f"Interface types must be of valid types {interface_types}." ) raise ExperimentException(errmsg) from e closest_interface_value = interfacing_dict[closest_sibling] closest_interface_rank = interface_types.index(closest_interface_value) else: # the user provided no keys. The default is therefore 'SCAN' # with all keys so the closest will be 'SCAN' (the furthest possible interface_type) closest_sibling = self.slice_ids[0] closest_interface_value = "SCAN" closest_interface_rank = interface_types.index(closest_interface_value) # now populate a full_interfacing_dict based on the closest sibling's interface values # and knowing how we interface with that sibling. this is the only correct interfacing # given the closest interfacing. full_interfacing_dict[closest_sibling] = closest_interface_value for ( sibling_slice_id, siblings_interface_value, ) in self.get_slice_interfacing(closest_sibling).items(): if ( interface_types.index(siblings_interface_value) >= closest_interface_rank ): # in this case, the interfacing between the sibling and the closest sibling is # closer than the closest interface for the new slice. Therefore, interface with # this sibling should be equal to the closest interface. Or, if they are all at # the same rank, then the interfacing should equal that rank. For example, # slices 0 and 1 combined CONCURRENT. New slice 2 is added with closest # interfacing SEQUENCE to slice 0. Slice 2 will therefore also be interfaced # with slice 1 as SEQUENCE type, since both slices 0 and 1 are in a single # SEQUENCE. full_interfacing_dict[sibling_slice_id] = closest_interface_value else: # the rank is less than the closest rank. # in this case, the interfacing to this sibling should be the same as the # closest sibling interface to this sibling. For example, slices 0 and 1 are # combined SCAN and slice 2 is combined AVEPERIOD with slice 0 (closest). # Therefore slice 2 should be combined SCAN with slice 1 since 0 and 2 are now # within the same scan. full_interfacing_dict[sibling_slice_id] = siblings_interface_value # now check everything provided by the user with the correct full_interfacing_dict # that was populated based on the closest sibling given by the user. for sibling_slice_id, interface_value in interfacing_dict.items(): if interface_value != full_interfacing_dict[sibling_slice_id]: siblings_interface_value = self.get_slice_interfacing( closest_sibling )[sibling_slice_id] errmsg = ( f"The interfacing values of new slice cannot be reconciled. Interfacing " f"with slice {closest_sibling}: {closest_interface_value} and with " f"slice {sibling_slice_id}: {interface_value} does not make sense with " f"existing interface between slices of " f"{([sibling_slice_id, closest_sibling].sort())}: {siblings_interface_value}" ) raise ExperimentException(errmsg) return full_interfacing_dict
def __update_slice_interfacing(self): """ Internal slice interfacing updater. This should only be used internally when slice dictionary is changed, to update all of the slices' interfacing dictionaries. """ for slice_id in self.slice_ids: self.__slice_dict[slice_id].slice_interfacing = self.get_slice_interfacing( slice_id )
[docs] def add_slice(self, exp_slice, interfacing_dict=None): """ Add a slice to the experiment. :param exp_slice: a slice (dictionary of slice_keys) to add to the experiment. :type exp_slice: dict :param interfacing_dict: dictionary of type {slice_id : INTERFACING , ... } that defines how this slice interacts with all the other slices currently in the experiment. :type interfacing_dict: dict :returns: the slice_id of the new slice that was just added. :rtype: int :raises ExperimentException: if slice is not a dictionary or if there are errors in setup_slice. """ if not isinstance(exp_slice, dict): errmsg = f"Attempt to add a slice failed - {exp_slice} is not a dictionary of slice parameters" raise ExperimentException(errmsg) # TODO multiple types of Exceptions so they can be caught by the experiment in these # add_slice, edit_slice, del_slice functions (and handled specifically) if interfacing_dict is None: interfacing_dict = {} add_slice_id = exp_slice["slice_id"] = self.new_slice_id # each added slice has a unique slice id, even if previous slices have been deleted. exp_slice["cpid"] = self.cpid # Now we setup the slice which will check minimum requirements and set defaults, and then # will complete a check_slice and raise any errors found. new_exp_slice = ExperimentSlice(**exp_slice, **self.__slice_restrictions) # now check that the interfacing values make sense before appending. full_interfacing_dict = self.check_new_slice_interfacing(interfacing_dict) for sibling_slice_id, interface_value in full_interfacing_dict.items(): # sibling_slice_id < new slice id so this maintains interface list requirement. self.__interface[(sibling_slice_id, exp_slice["slice_id"])] = ( interface_value ) # if there were no errors raised in setup_slice, we will add the slice to the slice_dict. self.__slice_dict[add_slice_id] = new_exp_slice # reset all slice_interfacing since a slice has been added. self.__update_slice_interfacing() return add_slice_id
[docs] def del_slice(self, remove_slice_id): """ Remove a slice from the experiment. :param remove_slice_id: the id of the slice you'd like to remove. :type remove_slice_id: int :returns: a copy of the removed slice. :rtype: dict :raises ExperimentException: if remove_slice_id does not exist in the slice dictionary. """ try: removed_slice = copy.deepcopy(self.slice_dict[remove_slice_id]) del self.slice_dict[remove_slice_id] except (KeyError, TypeError) as e: errmsg = ( f"Cannot remove slice id {remove_slice_id} : it does not exist in slice " "dictionary" ) raise ExperimentException(errmsg) from e remove_keys = [] for key1, key2 in self.__interface.keys(): if key1 == remove_slice_id or key2 == remove_slice_id: remove_keys.append((key1, key2)) for keyset in remove_keys: del self.__interface[keyset] # reset all slice_interfacing since a slice has been removed. self.__update_slice_interfacing() return removed_slice
[docs] def edit_slice(self, edit_slice_id, **kwargs): """ Edit a slice. A quick way to edit a slice. In reality this is actually adding a new slice and deleting the old one. Useful for quick changes. Note that using this function will remove the slice_id that you are changing and will give it a new id. It will account for this in the interfacing dictionary. :param edit_slice_id: the slice id of the slice to be edited. :type edit_slice_id: int :param kwargs: slice parameter to slice values that you want to change. :type kwargs: dict :returns: the new slice id of the edited slice, or the edit_slice_id if no change has occurred due to failure of new slice parameters to pass experiment checks. :rtype: int :raises ExperimentException: if the edit_slice_id does not exist in slice dictionary or the params or values do not make sense. """ slice_params_to_edit = dict(kwargs) try: edited_slice = copy.deepcopy(self.slice_dict[edit_slice_id]) except (KeyError, TypeError): # the edit_slice_id is not an index in the slice_dict errmsg = f"Trying to edit {edit_slice_id} but it does not exist in Slice_IDs list." raise ExperimentException(errmsg) for edit_slice_param, edit_slice_value in slice_params_to_edit.items(): if edit_slice_param in self.slice_keys: setattr(edited_slice, edit_slice_param, edit_slice_value) else: errmsg = ( f"Cannot edit slice ID {edit_slice_id}: {edit_slice_param} is not a valid" " slice parameter" ) raise ExperimentException(errmsg) # Get the interface values of the slice. These are not editable, if these are wished to be # changed add_slice must be used explicitly to interface a new slice. interface_values = self.get_slice_interfacing(edit_slice_id) removed_slice = self.del_slice(edit_slice_id) try: # checks are done on interfacing when slice is added. # interfacing between existing slice_ids cannot be changed after addition. new_slice_id = self.add_slice(edited_slice, interface_values) return new_slice_id except ExperimentException as err: # if any failure occurs when checking the slice, the slice has not been added to the # slice dictionary so we will revert to old slice self.__slice_dict[edit_slice_id] = removed_slice for key1, key1_interface in interface_values.items(): if key1 < edit_slice_id: self.__interface[(key1, edit_slice_id)] = key1_interface else: self.__interface[(edit_slice_id, key1)] = key1_interface # reset all slice_interfacing back self.__update_slice_interfacing() log.error("Slice has errors, unable to add to experiment", errors=err) return edit_slice_id
def __repr__(self): represent = ( f"self.cpid = {self.cpid}\n" f"self.num_slices = {self.num_slices}\n" f"self.slice_ids = {self.slice_ids}\n" f"self.slice_keys = {self.slice_keys}\n" f"self.options = {self.options.__str__()}\n" f"self.txrate = {self.txrate}\n" f"self.slice_dict = {self.slice_dict}\n" f"self.interface = {self.interface}\n" ) return represent
[docs] def build_scans(self): """ Build the scan information, which means creating the Scan, AveragingPeriod, and Sequence instances needed to run this experiment. Will be run by experiment handler, to build iterable objects for radar_control to use. Creates scan_objects in the experiment for identifying which slices are in the scans. """ # Check interfacing and other experiment-wide settings. self.self_check() # TODO: investigating how I might go about using this base class - maybe make a new IterableExperiment class # to inherit # TODO consider removing scan_objects from init and making a new Experiment class to inherit # from InterfaceClassBase and having all of this included in there. Then would only need to # pass the running experiment to the radar control (would be returned from build_scans) self.__running_experiment = InterfaceClassBase( self.slice_ids, self.slice_dict, self.interface, self.transmit_metadata ) self.__scan_objects = [] for params in self.__running_experiment.prep_for_nested_interface_class(): self.__scan_objects.append(Scan(*params)) for scan in self.__scan_objects: if scan.scanbound is not None: self.__scanbound = True if self.__scanbound: try: self.__scan_objects = sorted( self.__scan_objects, key=lambda input_scan: input_scan.scanbound[0] ) except (IndexError, TypeError) as e: # scanbound is None in some scans errmsg = "If one slice has a scanbound, they all must to avoid up to minute-long downtimes." raise ExperimentException(errmsg) from e max_num_concurrent_slices = 0 for scan in self.__scan_objects: for aveperiod in scan.aveperiods: for seq in aveperiod.sequences: if len(seq.slice_ids) > max_num_concurrent_slices: max_num_concurrent_slices = len(seq.slice_ids) log.verbose(f"Number of Scan types: {len(self.__scan_objects)}") log.verbose( f"Number of AveragingPeriods in Scan #1: {len(self.__scan_objects[0].aveperiods)}" ) log.verbose( f"Number of Sequences in Scan #1, Averaging Period #1: " f"{len(self.__scan_objects[0].aveperiods[0].sequences)}" ) log.verbose( f"Number of Pulse Types in Scan #1, Averaging Period #1, Sequence #1: " f"{len(self.__scan_objects[0].aveperiods[0].sequences[0].slice_dict)}" ) log.verbose(f"Max concurrent slices: {max_num_concurrent_slices}")
[docs] def get_slice_interfacing(self, slice_id): """ Check the experiment's interfacing dictionary for all interfacing that pertains to a given slice, and return the interfacing information in a dictionary. :param slice_id: Slice ID to search the interface dictionary for. :type slice_id: int :returns: interfacing dictionary for the slice. :rtype: dict """ slice_interface = {} for keys, interfacing_type in self.interface.items(): num1 = keys[0] num2 = keys[1] if num1 == slice_id: slice_interface[num2] = interfacing_type elif num2 == slice_id: slice_interface[num1] = interfacing_type return slice_interface
[docs] def self_check(self): """ Check that the values in this experiment are valid. Checks all slices. :raises ExperimentException: if any self check errors occur """ if self.num_slices < 1: errmsg = "Invalid num_slices less than 1" raise ExperimentException(errmsg) # TODO: check if self.cpid is not unique - incorporate known cpids from git repo # TODO: use pygit2 for this # run check_slice on all slices. Check_slice is a full check and can be done on a slice at # any time after setup. We run it now in case the user has changed something # inappropriately (ie, any way other than using edit_slice, add_slice, or del_slice). # "Private" instance variables with leading underscores are not actually private in # python they just have a bit of a mangled name so they are not readily available but give # the user notice that they should be left alone. If the __slice_dict has been changed # improperly, we should check it for problems here. for exp_slice in self.slice_dict.values(): exp_slice.check_slice()"No Self Check Errors. Continuing...")