Python tornado.options.parse_command_line() Examples

def group_dict(self, group: str) -> Dict[str, Any]:
        """The names and values of options in a group.

        Useful for copying options into Application settings::

            from tornado.options import define, parse_command_line, options

            define('template_path', group='application')
            define('static_path', group='application')

            parse_command_line()

            application = Application(
                handlers, **options.group_dict('application'))

        .. versionadded:: 3.1
        """
        return dict(
            (opt.name, opt.value())
            for name, opt in self._options.items()
            if not group or group == opt.group_name
        ) 

def main():
    from tornado.options import define, options, parse_command_line
    define("print_headers", type=bool, default=False)
    define("print_body", type=bool, default=True)
    define("follow_redirects", type=bool, default=True)
    define("validate_cert", type=bool, default=True)
    args = parse_command_line()
    client = HTTPClient()
    for arg in args:
        try:
            response = client.fetch(arg,
                                    follow_redirects=options.follow_redirects,
                                    validate_cert=options.validate_cert,
                                    )
        except HTTPError as e:
            if e.response is not None:
                response = e.response
            else:
                raise
        if options.print_headers:
            print(response.headers)
        if options.print_body:
            print(native_str(response.body))
    client.close() 

def __init__(self, predictors, batch_size=5):
        """ :param predictors: a list of OnlinePredictor"""
        assert len(predictors)
        for k in predictors:
            #assert isinstance(k, OnlinePredictor), type(k)
            # TODO use predictors.return_input here
            assert k.return_input == False
        self.input_queue = queue.Queue(maxsize=len(predictors)*100)
        self.threads = [
            PredictorWorkerThread(
                self.input_queue, f, id, batch_size=batch_size)
            for id, f in enumerate(predictors)]

        if six.PY2:
            # TODO XXX set logging here to avoid affecting TF logging
            import tornado.options as options
            options.parse_command_line(['--logging=debug']) 

def group_dict(self, group: str) -> Dict[str, Any]:
        """The names and values of options in a group.

        Useful for copying options into Application settings::

            from tornado.options import define, parse_command_line, options

            define('template_path', group='application')
            define('static_path', group='application')

            parse_command_line()

            application = Application(
                handlers, **options.group_dict('application'))

        .. versionadded:: 3.1
        """
        return dict(
            (opt.name, opt.value())
            for name, opt in self._options.items()
            if not group or group == opt.group_name
        ) 

def main():
    from tornado.options import define, options, parse_command_line
    define("print_headers", type=bool, default=False)
    define("print_body", type=bool, default=True)
    define("follow_redirects", type=bool, default=True)
    define("validate_cert", type=bool, default=True)
    args = parse_command_line()
    client = HTTPClient()
    for arg in args:
        try:
            response = client.fetch(arg,
                                    follow_redirects=options.follow_redirects,
                                    validate_cert=options.validate_cert,
                                    )
        except HTTPError as e:
            if e.response is not None:
                response = e.response
            else:
                raise
        if options.print_headers:
            print(response.headers)
        if options.print_body:
            print(native_str(response.body))
    client.close() 

def group_dict(self, group):
        """The names and values of options in a group.

        Useful for copying options into Application settings::

            from tornado.options import define, parse_command_line, options

            define('template_path', group='application')
            define('static_path', group='application')

            parse_command_line()

            application = Application(
                handlers, **options.group_dict('application'))

        .. versionadded:: 3.1
        """
        return dict(
            (opt.name, opt.value()) for name, opt in self._options.items()
            if not group or group == opt.group_name) 

def group_dict(self, group: str) -> Dict[str, Any]:
        """The names and values of options in a group.

        Useful for copying options into Application settings::

            from tornado.options import define, parse_command_line, options

            define('template_path', group='application')
            define('static_path', group='application')

            parse_command_line()

            application = Application(
                handlers, **options.group_dict('application'))

        .. versionadded:: 3.1
        """
        return dict(
            (opt.name, opt.value())
            for name, opt in self._options.items()
            if not group or group == opt.group_name
        ) 

def main():
    from tornado.options import define, options, parse_command_line
    define("print_headers", type=bool, default=False)
    define("print_body", type=bool, default=True)
    define("follow_redirects", type=bool, default=True)
    define("validate_cert", type=bool, default=True)
    args = parse_command_line()
    client = HTTPClient()
    for arg in args:
        try:
            response = client.fetch(arg,
                                    follow_redirects=options.follow_redirects,
                                    validate_cert=options.validate_cert,
                                    )
        except HTTPError as e:
            if e.response is not None:
                response = e.response
            else:
                raise
        if options.print_headers:
            print(response.headers)
        if options.print_body:
            print(native_str(response.body))
    client.close() 

def __init__(self, predictors, batch_size=5, debug_charts=False, worker_id=None, neptune_client=None):
        """ :param predictors: a list of OnlinePredictor"""
        assert len(predictors)
        for k in predictors:
            #assert isinstance(k, OnlinePredictor), type(k)
            # TODO use predictors.return_input here
            assert k.return_input == False
            #queue_size=len(predictors)*100
            queue_size=len(predictors)*1
        self.input_queue = queue.Queue(maxsize=queue_size)
        self.threads = [
            PredictorWorkerThread(
                self.input_queue, f, id, batch_size=batch_size,
                debug_charts=debug_charts,
                worker_id=worker_id,
                neptune_client=neptune_client)
            for id, f in enumerate(predictors)]

        if six.PY2:
            # TODO XXX set logging here to avoid affecting TF logging
            import tornado.options as options
            options.parse_command_line(['--logging=debug']) 

def main():
    from tornado.options import define, options, parse_command_line
    define("print_headers", type=bool, default=False)
    define("print_body", type=bool, default=True)
    define("follow_redirects", type=bool, default=True)
    define("validate_cert", type=bool, default=True)
    args = parse_command_line()
    client = HTTPClient()
    for arg in args:
        try:
            response = client.fetch(arg,
                                    follow_redirects=options.follow_redirects,
                                    validate_cert=options.validate_cert,
                                    )
        except HTTPError as e:
            if e.response is not None:
                response = e.response
            else:
                raise
        if options.print_headers:
            print(response.headers)
        if options.print_body:
            print(response.body)
    client.close() 

def __init__(self, predictors, batch_size=5):
        """
        Args:
            predictors (list): a list of OnlinePredictor available to use.
            batch_size (int): the maximum of an internal batch.
        """
        assert len(predictors)
        self._need_default_sess = False
        for k in predictors:
            assert isinstance(k, OnlinePredictor), type(k)
            if k.sess is None:
                self._need_default_sess = True
            # TODO support predictors.return_input here
            assert not k.return_input
        self.input_queue = queue.Queue(maxsize=len(predictors) * 100)
        self.threads = [
            PredictorWorkerThread(
                self.input_queue, f, id, batch_size=batch_size)
            for id, f in enumerate(predictors)]

        if six.PY2:
            # TODO XXX set logging here to avoid affecting TF logging
            import tornado.options as options
            options.parse_command_line(['--logging=debug'])
            logger.warn("MultiThreadAsyncPredictor is inefficient in Python 2! Switch to Python 3 instead.") 

def group_dict(self, group):
        """The names and values of options in a group.

        Useful for copying options into Application settings::

            from tornado.options import define, parse_command_line, options

            define('template_path', group='application')
            define('static_path', group='application')

            parse_command_line()

            application = Application(
                handlers, **options.group_dict('application'))

        .. versionadded:: 3.1
        """
        return dict(
            (name, opt.value()) for name, opt in self._options.items()
            if not group or group == opt.group_name) 

def group_dict(self, group):
        """The names and values of options in a group.

        Useful for copying options into Application settings::

            from tornado.options import define, parse_command_line, options

            define('template_path', group='application')
            define('static_path', group='application')

            parse_command_line()

            application = Application(
                handlers, **options.group_dict('application'))

        .. versionadded:: 3.1
        """
        return dict(
            (name, opt.value()) for name, opt in self._options.items()
            if not group or group == opt.group_name) 

def main():
    from tornado.options import define, options, parse_command_line
    define("print_headers", type=bool, default=False)
    define("print_body", type=bool, default=True)
    define("follow_redirects", type=bool, default=True)
    define("validate_cert", type=bool, default=True)
    args = parse_command_line()
    client = HTTPClient()
    for arg in args:
        try:
            response = client.fetch(arg,
                                    follow_redirects=options.follow_redirects,
                                    validate_cert=options.validate_cert,
                                    )
        except HTTPError, e:
            if e.response is not None:
                response = e.response
            else:
                raise
        if options.print_headers:
            #print response.headers
            ht.logger.info(response.headers)
        if options.print_body:
            #print response.body
            ht.logger.info(response.body) 

def __init__(self, predictors, batch_size=5):
        """ :param predictors: a list of OnlinePredictor"""
        for k in predictors:
            #assert isinstance(k, OnlinePredictor), type(k)
            # TODO use predictors.return_input here
            assert k.return_input == False
        self.input_queue = queue.Queue(maxsize=len(predictors)*100)
        self.threads = [
            PredictorWorkerThread(
                self.input_queue, f, id, batch_size=batch_size)
            for id, f in enumerate(predictors)]

        if six.PY2:
            # TODO XXX set logging here to avoid affecting TF logging
            import tornado.options as options
            options.parse_command_line(['--logging=debug']) 

def group_dict(self, group):
        """The names and values of options in a group.

        Useful for copying options into Application settings::

            from tornado.options import define, parse_command_line, options

            define('template_path', group='application')
            define('static_path', group='application')

            parse_command_line()

            application = Application(
                handlers, **options.group_dict('application'))

        .. versionadded:: 3.1
        """
        return dict(
            (opt.name, opt.value()) for name, opt in self._options.items()
            if not group or group == opt.group_name) 

def __init__(self, predictors, batch_size=5, debug_charts=False, worker_id=None, neptune_client=None):
        """ :param predictors: a list of OnlinePredictor"""
        assert len(predictors)
        for k in predictors:
            #assert isinstance(k, OnlinePredictor), type(k)
            # TODO use predictors.return_input here
            assert k.return_input == False
            #queue_size=len(predictors)*100
            queue_size=len(predictors)*1
        self.input_queue = queue.Queue(maxsize=queue_size)
        self.threads = [
            PredictorWorkerThread(
                self.input_queue, f, id, batch_size=batch_size,
                debug_charts=debug_charts,
                worker_id=worker_id,
                neptune_client=neptune_client)
            for id, f in enumerate(predictors)]

        if six.PY2:
            # TODO XXX set logging here to avoid affecting TF logging
            import tornado.options as options
            options.parse_command_line(['--logging=debug']) 

def group_dict(self, group):
        """The names and values of options in a group.

        Useful for copying options into Application settings::

            from tornado.options import define, parse_command_line, options

            define('template_path', group='application')
            define('static_path', group='application')

            parse_command_line()

            application = Application(
                handlers, **options.group_dict('application'))

        .. versionadded:: 3.1
        """
        return dict(
            (opt.name, opt.value()) for name, opt in self._options.items()
            if not group or group == opt.group_name) 

def group_dict(self, group):
        """The names and values of options in a group.

        Useful for copying options into Application settings::

            from tornado.options import define, parse_command_line, options

            define('template_path', group='application')
            define('static_path', group='application')

            parse_command_line()

            application = Application(
                handlers, **options.group_dict('application'))

        .. versionadded:: 3.1
        """
        return dict(
            (opt.name, opt.value()) for name, opt in self._options.items()
            if not group or group == opt.group_name) 

def parse_command_line(self, args=None):
        if args is None:
            args = sys.argv
        remaining = []
        for i in xrange(1, len(args)):
            # All things after the last option are command line arguments
            if not args[i].startswith("-"):
                remaining = args[i:]
                break
            if args[i] == "--":
                remaining = args[i + 1:]
                break
            arg = args[i].lstrip("-")
            name, equals, value = arg.partition("=")
            name = name.replace('-', '_')
            if not name in self:
                print_help()
                raise Error('Unrecognized command line option: %r' % name)
            option = self[name]
            if not equals:
                if option.type == bool:
                    value = "true"
                else:
                    raise Error('Option %r requires a value' % name)
            option.parse(value)
        if self.help:
            print_help()
            sys.exit(0)

        # Set up log level and pretty console logging by default
        if self.logging != 'none':
            logging.getLogger().setLevel(getattr(logging, self.logging.upper()))
            enable_pretty_logging()

        return remaining 

def enable_pretty_logging(options=options):
    """Turns on formatted logging output as configured.

    This is called automatically by `parse_command_line`.
    """
    root_logger = logging.getLogger()
    if options.log_file_prefix:
        channel = logging.handlers.RotatingFileHandler(
            filename=options.log_file_prefix,
            maxBytes=options.log_file_max_size,
            backupCount=options.log_file_num_backups)
        channel.setFormatter(_LogFormatter(color=False))
        root_logger.addHandler(channel)

    if (options.log_to_stderr or
        (options.log_to_stderr is None and not root_logger.handlers)):
        # Set up color if we are in a tty and curses is installed
        color = False
        if curses and sys.stderr.isatty():
            try:
                curses.setupterm()
                if curses.tigetnum("colors") > 0:
                    color = True
            except Exception:
                pass
        channel = logging.StreamHandler()
        channel.setFormatter(_LogFormatter(color=color))
        root_logger.addHandler(channel) 

def __init__(self, handlers=None, default_host="", transforms=None, **settings):
        tnd_options.parse_command_line()
        if configs.can_import:
            configs.import_dict(**settings)
        ins_log.read_log('info', '%s' % options.progid)
        super(Application, self).__init__(handlers, default_host, transforms, **configs)
        http_server = httpserver.HTTPServer(self)
        http_server.listen(options.port, address=options.addr)
        self.io_loop = ioloop.IOLoop.instance() 

def __init__(self, handlers=None, default_host="",
                 transforms=None, **settings):
        #print('options.port=>>>',options.port)
        tnd_options.parse_command_line()    #解析命令行 --port=9001
        #print('options.port=>>>',options.port)
        Logger(options.progid)
        # Logger().init_logger(options.progid)
        super(Application, self).__init__(handlers, default_host,
                                          transforms, **settings)
        http_server = httpserver.HTTPServer(self)
        http_server.listen(options.port, address=options.addr)
        self.io_loop = ioloop.IOLoop.instance() 

def parse_command_line(args=None):
    """Parses all options given on the command line (defaults to sys.argv).

    Note that args[0] is ignored since it is the program name in sys.argv.

    We return a list of all arguments that are not parsed as options.
    """
    return options.parse_command_line(args) 

def parse_command_line(args=None, final=True):
    """Parses global options from the command line.

    See `OptionParser.parse_command_line`.
    """
    return options.parse_command_line(args, final=final) 

def main():
    from tornado.options import define, options, parse_command_line
    define("print_headers", type=bool, default=False)
    define("print_body", type=bool, default=True)
    define("follow_redirects", type=bool, default=True)
    define("validate_cert", type=bool, default=True)
    define("proxy_host", type=str)
    define("proxy_port", type=int)
    args = parse_command_line()
    client = HTTPClient()
    for arg in args:
        try:
            response = client.fetch(arg,
                                    follow_redirects=options.follow_redirects,
                                    validate_cert=options.validate_cert,
                                    proxy_host=options.proxy_host,
                                    proxy_port=options.proxy_port,
                                    )
        except HTTPError as e:
            if e.response is not None:
                response = e.response
            else:
                raise
        if options.print_headers:
            print(response.headers)
        if options.print_body:
            print(native_str(response.body))
    client.close() 

def parse_command_line(args: List[str] = None, final: bool = True) -> List[str]:
    """Parses global options from the command line.

    See `OptionParser.parse_command_line`.
    """
    return options.parse_command_line(args, final=final) 

def main() -> None:
    from tornado.options import define, options, parse_command_line

    define("print_headers", type=bool, default=False)
    define("print_body", type=bool, default=True)
    define("follow_redirects", type=bool, default=True)
    define("validate_cert", type=bool, default=True)
    define("proxy_host", type=str)
    define("proxy_port", type=int)
    args = parse_command_line()
    client = HTTPClient()
    for arg in args:
        try:
            response = client.fetch(
                arg,
                follow_redirects=options.follow_redirects,
                validate_cert=options.validate_cert,
                proxy_host=options.proxy_host,
                proxy_port=options.proxy_port,
            )
        except HTTPError as e:
            if e.response is not None:
                response = e.response
            else:
                raise
        if options.print_headers:
            print(response.headers)
        if options.print_body:
            print(native_str(response.body))
    client.close() 

def parse_command_line(args: List[str] = None, final: bool = True) -> List[str]:
    """Parses global options from the command line.

    See `OptionParser.parse_command_line`.
    """
    return options.parse_command_line(args, final=final) 

def parse_command_line(args=None, final=True):
    """Parses global options from the command line.

    See `OptionParser.parse_command_line`.
    """
    return options.parse_command_line(args, final=final)