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def parse_innotop_mode_b(self): """ Generic parsing method for all other modes """ with open(self.infile, 'r') as infh: # Pre processing to figure out different headers max_row_quot = 0 valrow = -1 thisrowcolumns = {} data = {} while True: line1 = infh.readline() ...
def parse_innotop_mode_m(self): """ Special parsing method for Innotop "Replication Status" results (innotop --mode M)""" with open(self.infile, 'r') as infh: # Pre processing to figure out different headers max_row_quot = 0 valrow = -1 thisrowcolumns = {} data = {} last_ts =...
def highlight_region(plt, start_x, end_x): """ Highlight a region on the chart between the specified start and end x-co-ordinates. param pyplot plt: matplotlibk pyplot which contains the charts to be highlighted param string start_x : epoch time millis param string end_x : epoch time millis """ start_x = ...
def graph_data_on_the_same_graph(list_of_plots, output_directory, resource_path, output_filename): """ graph_data_on_the_same_graph: put a list of plots on the same graph: currently it supports CDF """ maximum_yvalue = -float('inf') minimum_yvalue = float('inf') plots = curate_plot_list(list_of_plots) plo...
def _set_scores(self): """ Compute anomaly scores for the time series. """ anom_scores = {} self._compute_derivatives() derivatives_ema = utils.compute_ema(self.smoothing_factor, self.derivatives) for i, (timestamp, value) in enumerate(self.time_series_items): anom_scores[timestamp] = ...
def extract_metric_name(self, metric_name): """ Method to extract SAR metric names from the section given in the config. The SARMetric class assumes that the section name will contain the SAR types listed in self.supported_sar_types tuple :param str metric_name: Section name from the config :return...
def _find_allowed_shift(self, timestamps): """ Find the maximum allowed shift steps based on max_shift_milliseconds. param list timestamps: timestamps of a time series. """ init_ts = timestamps[0] residual_timestamps = map(lambda ts: ts - init_ts, timestamps) n = len(residual_timestamps) ...
def _find_first_bigger(self, timestamps, target, lower_bound, upper_bound): """ Find the first element in timestamps whose value is bigger than target. param list values: list of timestamps(epoch number). param target: target value. param lower_bound: lower bound for binary search. param upper_b...
def create_analysis(self, config): """ Create Analysis and save in Naarad from config :param config: :return: """ self._default_test_id += 1 self._analyses[self._default_test_id] = _Analysis(ts_start=None, config=config, test_id=self._default_test_id)
def signal_start(self, config, test_id=None, **kwargs): """ Initialize an analysis object and set ts_start for the analysis represented by test_id :param test_id: integer that represents the analysis :param config: config can be a ConfigParser.ConfigParser object or a string specifying local or http(s) ...
def signal_stop(self, test_id=None): """ Set ts_end for the analysis represented by test_id :param test_id: integer that represents the analysis :return: test_id """ if test_id is None: test_id = self._default_test_id if self._analyses[test_id].ts_end: return CONSTANTS.OK sel...
def get_failed_analyses(self): """ Returns a list of test_id for which naarad analysis failed :return: list of test_ids """ failed_analyses = [] for test_id in self._analyses.keys(): if self._analyses[test_id].status != CONSTANTS.OK: failed_analyses.append(test_id) return faile...
def _set_sla_data(self, test_id, metrics): """ Get sla data from each metric and set it in the _Analysis object specified by test_id to make it available for retrieval :return: currently always returns CONSTANTS.OK. Maybe enhanced in future to return additional status """ for metric in metrics: ...
def _set_stats_data(self, test_id, metrics): """ Get summary stats data from each metric and set it in the _Analysis object specified by test_id to make it available for retrieval :return: currently always returns CONSTANTS.OK. Maybe enhanced in future to return additional status """ for metric ...
def _create_output_directories(self, analysis): """ Create the necessary output and resource directories for the specified analysis :param: analysis: analysis associated with a given test_id """ try: os.makedirs(analysis.output_directory) except OSError as exception: if exception.err...
def _run_pre(self, analysis, run_steps): """ If Naarad is run in CLI mode, execute any pre run steps specified in the config. ts_start/ts_end are set based on workload run steps if any. :param: analysis: The analysis object being processed :param: run_steps: list of post run steps """ worklo...
def _run_post(self, run_steps): """ If Naarad is run in CLI mode, execute any post run steps specified in the config :param: run_steps: list of post run steps """ for run_step in sorted(run_steps, key=lambda step: step.run_rank): run_step.run() return CONSTANTS.OK
def _process_args(self, analysis, args): """ When Naarad is run in CLI mode, get the CL arguments and update the analysis :param: analysis: The analysis being processed :param: args: Command Line Arguments received by naarad """ if args.exit_code: self.return_exit_code = args.exit_code ...
def analyze(self, input_directory, output_directory, **kwargs): """ Run all the analysis saved in self._analyses, sorted by test_id. This is useful when Naarad() is used by other programs and multiple analyses are run In naarad CLI mode, len(_analyses) == 1 :param: input_directory: location of log f...
def run(self, analysis, is_api_call, **kwargs): """ :param analysis: Run naarad analysis for the specified analysis object :param **kwargs: Additional keyword args can be passed in here for future enhancements :return: """ threads = [] crossplots = [] report_args = {} metrics = defau...
def diff(self, test_id_1, test_id_2, config=None, **kwargs): """ Create a diff report using test_id_1 as a baseline :param: test_id_1: test id to be used as baseline :param: test_id_2: test id to compare against baseline :param: config file for diff (optional) :param: **kwargs: keyword arguments...
def diff_reports_by_location(self, report1_location, report2_location, output_directory, config=None, **kwargs): """ Create a diff report using report1 as a baseline :param: report1_location: report to be used as baseline :param: report2_location: report to compare against baseline :param: config fi...
def _process_naarad_config(self, config, analysis): """ Process the config file associated with a particular analysis and return metrics, run_steps and crossplots. Also sets output directory and resource_path for an anlaysis """ graph_timezone = None output_directory = analysis.output_directory ...
def parse(self): """ Parse the vmstat file :return: status of the metric parse """ file_status = True for input_file in self.infile_list: file_status = file_status and naarad.utils.is_valid_file(input_file) if not file_status: return False status = True cur_zone = No...
def collect(self): """ Take a list of metrics, filter all metrics based on hostname, and metric_type For each metric, merge the corresponding csv files into one,update corresponding properties such as csv_column_map. Users can specify functions: raw, count (qps), sum (aggregated value), avg (averaged va...
def get_times(self, native): """ get start time stamp, launch time duration, and nus update time duration from JSON object native :param JSON OBJECT native :return: LONG event time stamp, LONG launch time, and LONG nus update time """ start_time = 0 end_time = 0 launch_time = 0 nus_u...
def run(self): """Perform the Oct2Py speed analysis. Uses timeit to test the raw execution of an Octave command, Then tests progressively larger array passing. """ print('Oct2Py speed test') print('*' * 20) time.sleep(1) print('Raw speed: ') ...
def exit(self): """Quits this octave session and cleans up. """ if self._engine: self._engine.repl.terminate() self._engine = None
def push(self, name, var, timeout=None, verbose=True): """ Put a variable or variables into the Octave session. Parameters ---------- name : str or list Name of the variable(s). var : object or list The value(s) to pass. timeout ...
def pull(self, var, timeout=None, verbose=True): """ Retrieve a value or values from the Octave session. Parameters ---------- var : str or list Name of the variable(s) to retrieve. timeout : float, optional. Time to wait for response fro...
def get_pointer(self, name, timeout=None): """Get a pointer to a named object in the Octave workspace. Parameters ---------- name: str The name of the object in the Octave workspace. timemout: float, optional. Time to wait for response from Octave...
def extract_figures(self, plot_dir, remove=False): """Extract the figures in the directory to IPython display objects. Parameters ---------- plot_dir: str The plot dir where the figures were created. remove: bool, optional. Whether to remove the p...
def feval(self, func_path, *func_args, **kwargs): """Run a function in Octave and return the result. Parameters ---------- func_path: str Name of function to run or a path to an m-file. func_args: object, optional Args to send to the function. ...
def eval(self, cmds, verbose=True, timeout=None, stream_handler=None, temp_dir=None, plot_dir=None, plot_name='plot', plot_format='svg', plot_width=None, plot_height=None, plot_res=None, nout=0, **kwargs): """ Evaluate an Octave command or commands. ...
def restart(self): """Restart an Octave session in a clean state """ if self._engine: self._engine.repl.terminate() executable = self._executable if executable: os.environ['OCTAVE_EXECUTABLE'] = executable if 'OCTAVE_EXECUTABLE' not in os...
def _feval(self, func_name, func_args=(), dname='', nout=0, timeout=None, stream_handler=None, store_as='', plot_dir=None): """Run the given function with the given args. """ engine = self._engine if engine is None: raise Oct2PyError('Session is closed') ...
def _parse_error(self, err): """Create a traceback for an Octave evaluation error. """ self.logger.debug(err) stack = err.get('stack', []) if not err['message'].startswith('parse error:'): err['message'] = 'error: ' + err['message'] errmsg = 'Octave eva...
def _get_doc(self, name): """ Get the documentation of an Octave procedure or object. Parameters ---------- name : str Function name to search for. Returns ------- out : str Documentation string. Raises ...
def _exist(self, name): """Test whether a name exists and return the name code. Raises an error when the name does not exist. """ cmd = 'exist("%s")' % name resp = self._engine.eval(cmd, silent=True).strip() exist = int(resp.split()[-1]) if exist == 0: ...
def _isobject(self, name, exist): """Test whether the name is an object.""" if exist in [2, 5]: return False cmd = 'isobject(%s)' % name resp = self._engine.eval(cmd, silent=True).strip() return resp == 'ans = 1'
def _get_function_ptr(self, name): """Get or create a function pointer of the given name.""" func = _make_function_ptr_instance self._function_ptrs.setdefault(name, func(self, name)) return self._function_ptrs[name]
def _get_user_class(self, name): """Get or create a user class of the given type.""" self._user_classes.setdefault(name, _make_user_class(self, name)) return self._user_classes[name]
def _cleanup(self): """Clean up resources used by the session. """ self.exit() workspace = osp.join(os.getcwd(), 'octave-workspace') if osp.exists(workspace): os.remove(workspace)
def demo(delay=1, interactive=True): """ Play a demo script showing most of the oct2py api features. Parameters ========== delay : float Time between each command in seconds. """ script = """ ######################### # Oct2Py demo #########################...
def kill_octave(): """Kill all octave instances (cross-platform). This will restart the "octave" instance. If you have instantiated Any other Oct2Py objects, you must restart them. """ import os if os.name == 'nt': os.system('taskkill /im octave /f') else: os.syst...
def thread_check(nthreads=3): """ Start a number of threads and verify each has a unique Octave session. Parameters ========== nthreads : int Number of threads to use. Raises ====== Oct2PyError If the thread does not sucessfully demonstrate independence. ...
def run(self): """ Create a unique instance of Octave and verify namespace uniqueness. Raises ====== Oct2PyError If the thread does not sucessfully demonstrate independence """ octave = Oct2Py() # write the same variable name in ea...
def read_file(path, session=None): """Read the data from the given file path. """ try: data = loadmat(path, struct_as_record=True) except UnicodeDecodeError as e: raise Oct2PyError(str(e)) out = dict() for (key, value) in data.items(): out[key] = _extract(value, ...
def write_file(obj, path, oned_as='row', convert_to_float=True): """Save a Python object to an Octave file on the given path. """ data = _encode(obj, convert_to_float) try: # scipy.io.savemat is not thread-save. # See https://github.com/scipy/scipy/issues/7260 with _WRITE_...
def _extract(data, session=None): """Convert the Octave values to values suitable for Python. """ # Extract each item of a list. if isinstance(data, list): return [_extract(d, session) for d in data] # Ignore leaf objects. if not isinstance(data, np.ndarray): return dat...
def _create_struct(data, session): """Create a struct from session data. """ out = Struct() for name in data.dtype.names: item = data[name] # Extract values that are cells (they are doubly wrapped). if isinstance(item, np.ndarray) and item.dtype.kind == 'O': i...
def _encode(data, convert_to_float): """Convert the Python values to values suitable to send to Octave. """ ctf = convert_to_float # Handle variable pointer. if isinstance(data, (OctaveVariablePtr)): return _encode(data.value, ctf) # Handle a user defined object. if isins...
def _is_simple_numeric(data): """Test if a list contains simple numeric data.""" for item in data: if isinstance(item, set): item = list(item) if isinstance(item, list): if not _is_simple_numeric(item): return False elif not isinstance(item...
def get_log(name=None): """Return a console logger. Output may be sent to the logger using the `debug`, `info`, `warning`, `error` and `critical` methods. Parameters ---------- name : str Name of the log. References ---------- .. [1] Logging facility for Pytho...
def _setup_log(): """Configure root logger. """ try: handler = logging.StreamHandler(stream=sys.stdout) except TypeError: # pragma: no cover handler = logging.StreamHandler(strm=sys.stdout) log = get_log() log.addHandler(handler) log.setLevel(logging.INFO) lo...
def _make_user_class(session, name): """Make an Octave class for a given class name""" attrs = session.eval('fieldnames(%s);' % name, nout=1).ravel().tolist() methods = session.eval('methods(%s);' % name, nout=1).ravel().tolist() ref = weakref.ref(session) doc = _DocDescriptor(ref, name) values...
def from_value(cls, value): """This is how an instance is created when we read a MatlabObject from a MAT file. """ instance = OctaveUserClass.__new__(cls) instance._address = '%s_%s' % (instance._name, id(instance)) instance._ref().push(instance._address, value) ...
def to_value(cls, instance): """Convert to a value to send to Octave.""" if not isinstance(instance, OctaveUserClass) or not instance._attrs: return dict() # Bootstrap a MatlabObject from scipy.io # From https://github.com/scipy/scipy/blob/93a0ea9e5d4aba1f661b6bb0e18f9c2d1fce...
def to_pointer(cls, instance): """Get a pointer to the private object. """ return OctavePtr(instance._ref, instance._name, instance._address)
def document_func_view(serializer_class=None, response_serializer_class=None, filter_backends=None, permission_classes=None, authentication_classes=None, doc_format_args=list(), doc_...
def format_docstring(*args, **kwargs): """ Decorator for clean docstring formatting """ def decorator(func): func.__doc__ = getdoc(func).format(*args, **kwargs) return func return decorator
def is_rarfile(filename): """Return true if file is a valid RAR file.""" mode = constants.RAR_OM_LIST_INCSPLIT archive = unrarlib.RAROpenArchiveDataEx(filename, mode=mode) try: handle = unrarlib.RAROpenArchiveEx(ctypes.byref(archive)) except unrarlib.UnrarException: return False ...
def _read_header(self, handle): """Read current member header into a RarInfo object.""" header_data = unrarlib.RARHeaderDataEx() try: res = unrarlib.RARReadHeaderEx(handle, ctypes.byref(header_data)) rarinfo = RarInfo(header=header_data) except unrarlib.ArchiveEnd...
def _process_current(self, handle, op, dest_path=None, dest_name=None): """Process current member with 'op' operation.""" unrarlib.RARProcessFileW(handle, op, dest_path, dest_name)
def _load_metadata(self, handle): """Load archive members metadata.""" rarinfo = self._read_header(handle) while rarinfo: self.filelist.append(rarinfo) self.NameToInfo[rarinfo.filename] = rarinfo self._process_current(handle, constants.RAR_SKIP) ra...
def _open(self, archive): """Open RAR archive file.""" try: handle = unrarlib.RAROpenArchiveEx(ctypes.byref(archive)) except unrarlib.UnrarException: raise BadRarFile("Invalid RAR file.") return handle
def open(self, member, pwd=None): """Return file-like object for 'member'. 'member' may be a filename or a RarInfo object. """ if isinstance(member, RarInfo): member = member.filename archive = unrarlib.RAROpenArchiveDataEx( self.filename, mode=consta...
def namelist(self): """Return a list of file names in the archive.""" names = [] for member in self.filelist: names.append(member.filename) return names
def getinfo(self, name): """Return the instance of RarInfo given 'name'.""" rarinfo = self.NameToInfo.get(name) if rarinfo is None: raise KeyError('There is no item named %r in the archive' % name) return rarinfo
def printdir(self): """Print a table of contents for the RAR file.""" print("%-46s %19s %12s" % ("File Name", "Modified ", "Size")) for rarinfo in self.filelist: date = "%d-%02d-%02d %02d:%02d:%02d" % rarinfo.date_time[:6] print("%-46s %s %12d" % ( rari...
def extract(self, member, path=None, pwd=None): """Extract a member from the archive to the current working directory, using its full name. Its file information is extracted as accurately as possible. `member' may be a filename or a RarInfo object. You can specify a different di...
def extractall(self, path=None, members=None, pwd=None): """Extract all members from the archive to the current working directory. `path' specifies a different directory to extract to. `members' is optional and must be a subset of the list returned by namelist(). """ ...
def _extract_members(self, members, targetpath, pwd): """Extract the RarInfo objects 'members' to a physical file on the path targetpath. """ archive = unrarlib.RAROpenArchiveDataEx( self.filename, mode=constants.RAR_OM_EXTRACT) handle = self._open(archive) ...
def dostime_to_timetuple(dostime): """Convert a RAR archive member DOS time to a Python time tuple.""" dostime = dostime >> 16 dostime = dostime & 0xffff day = dostime & 0x1f month = (dostime >> 5) & 0xf year = 1980 + (dostime >> 9) second = 2 * (dostime & 0x1f) minute = (dostime >> 5) &...
def _c_func(func, restype, argtypes, errcheck=None): """Wrap c function setting prototype.""" func.restype = restype func.argtypes = argtypes if errcheck is not None: func.errcheck = errcheck return func
def _load_savefile_header(file_h): """ Load and validate the header of a pcap file. """ try: raw_savefile_header = file_h.read(24) except UnicodeDecodeError: print("\nMake sure the input file is opened in read binary, 'rb'\n") raise InvalidEncoding("Could not read file; it mi...
def load_savefile(input_file, layers=0, verbose=False, lazy=False): """ Parse a savefile as a pcap_savefile instance. Returns the savefile on success and None on failure. Verbose mode prints additional information about the file's processing. layers defines how many layers to descend and decode the ...
def _load_packets(file_h, header, layers=0): """ Read packets from the capture file. Expects the file handle to point to the location immediately after the header (24 bytes). """ pkts = [] hdrp = ctypes.pointer(header) while True: pkt = _read_a_packet(file_h, hdrp, layers) i...
def _generate_packets(file_h, header, layers=0): """ Read packets one by one from the capture file. Expects the file handle to point to the location immediately after the header (24 bytes). """ hdrp = ctypes.pointer(header) while True: pkt = _read_a_packet(file_h, hdrp, layers) ...
def _read_a_packet(file_h, hdrp, layers=0): """ Reads the next individual packet from the capture file. Expects the file handle to be somewhere after the header, on the next per-packet header. """ raw_packet_header = file_h.read(16) if not raw_packet_header or len(raw_packet_header) != 16: ...
def parse_ipv4(address): """ Given a raw IPv4 address (i.e. as an unsigned integer), return it in dotted quad notation. """ raw = struct.pack('I', address) octets = struct.unpack('BBBB', raw)[::-1] ipv4 = b'.'.join([('%d' % o).encode('ascii') for o in bytearray(octets)]) return ipv4
def strip_ip(packet): """ Remove the IP packet layer, yielding the transport layer. """ if not isinstance(packet, IP): packet = IP(packet) payload = packet.payload return payload
def strip_ethernet(packet): """ Strip the Ethernet frame from a packet. """ if not isinstance(packet, Ethernet): packet = Ethernet(packet) payload = packet.payload return payload
def load_network(self, layers=1): """ Given an Ethernet frame, determine the appropriate sub-protocol; If layers is greater than zerol determine the type of the payload and load the appropriate type of network packet. It is expected that the payload be a hexified string. The laye...
def WIFI(frame, no_rtap=False): """calls wifi packet discriminator and constructor. :frame: ctypes.Structure :no_rtap: Bool :return: packet object in success :return: int -1 on known error :return: int -2 on unknown error """ pack = None try: pack = WiHelper.g...
def get_wifi_packet(frame, no_rtap=False): """Discriminates Wi-Fi packet and creates packet object. :frame: ctypes.Structure :no_rtap: Bool :return: obj Wi-Fi packet """ _, packet = WiHelper._strip_rtap(frame) frame_control = struct.unpack('BB'...
def _strip_rtap(frame): """strip injected radiotap header. :return: ctypes.Structure radiotap header :return: ctypes.Structure actual layer 2 Wi-Fi payload """ rtap_len = WiHelper.__get_rtap_len(frame) rtap = frame[:rtap_len] packet = frame...
def strip_present(payload): """strip(4 byte) radiotap.present. Those are flags that identify existence of incoming radiotap meta-data. :idx: int :return: str :return: namedtuple """ present = collections.namedtuple( 'present', ['tsft', 'flags', 'rate',...
def strip_tsft(self, idx): """strip(8 byte) radiotap.mactime :idx: int :return: int idx :return: int mactime """ idx = Radiotap.align(idx, 8) mactime, = struct.unpack_from('<Q', self._rtap, idx) return idx + 8, mactime
def strip_flags(self, idx): """strip(1 byte) radiotap.flags :idx: int :return: int idx :return: collections.namedtuple """ flags = collections.namedtuple( 'flags', ['cfp', 'preamble', 'wep', 'fragmentation', 'fcs', 'datapad', ...
def strip_rate(self, idx): """strip(1 byte) radiotap.datarate note that, unit of this field is originally 0.5 Mbps :idx: int :return: int idx :return: double rate in terms of Mbps """ val, = struct.unpack_from('<B', self._rtap, idx) ...
def strip_chan(self, idx): """strip(2 byte) radiotap.channel.flags :idx: int :return: int idx :return: collections.namedtuple """ chan = collections.namedtuple( 'chan', ['freq', 'turbo', 'cck', 'ofdm', 'two_g', 'five_g', 'passi...
def strip_fhss(self, idx): """strip (2 byte) radiotap.fhss.hopset(1 byte) and radiotap.fhss.pattern(1 byte) :idx: int :return: int idx :return: collections.namedtuple """ fhss = collections.namedtuple('fhss', ['hopset', 'pattern']) fhss.hopset,...
def strip_dbm_antsignal(self, idx): """strip(1 byte) radiotap.dbm.ant_signal :idx: int :return: int idx :return: int """ dbm_antsignal, = struct.unpack_from('<b', self._rtap, idx) return idx + 1, dbm_antsignal
def strip_dbm_antnoise(self, idx): """strip(1 byte) radiotap.dbm_antnoise :idx: int :return: int idx :return: int """ dbm_antnoise, = struct.unpack_from('<b', self._rtap, idx) return idx + 1, dbm_antnoise
def strip_lock_quality(self, idx): """strip(2 byte) lock quality :idx: int :return: int idx :return: int """ idx = Radiotap.align(idx, 2) lock_quality, = struct.unpack_from('<H', self._rtap, idx) return idx + 2, lock_quality
def strip_tx_attenuation(self, idx): """strip(1 byte) tx_attenuation :idx: int :return: int idx :return: int """ idx = Radiotap.align(idx, 2) tx_attenuation, = struct.unpack_from('<H', self._rtap, idx) return idx + 2, tx_attenuation
def strip_db_tx_attenuation(self, idx): """strip(1 byte) db_tx_attenuation :return: int idx :return: int """ idx = Radiotap.align(idx, 2) db_tx_attenuation, = struct.unpack_from('<H', self._rtap, idx) return idx + 2, db_tx_attenuation
def strip_dbm_tx_power(self, idx): """strip(1 byte) dbm_tx_power :return: int idx :return: int """ idx = Radiotap.align(idx, 1) dbm_tx_power, = struct.unpack_from('<b', self._rtap, idx) return idx + 1, dbm_tx_power
def strip_antenna(self, idx): """strip(1 byte) radiotap.antenna :return: int idx :return: int """ antenna, = struct.unpack_from('<B', self._rtap, idx) return idx + 1, antenna