コード例 #1
0
ファイル: twitter_block.py プロジェクト: nio-blocks/twitter
class Location(PropertyHolder):
    southwest = ObjectProperty(Coordinate,
                               default=Coordinate(),
                               title='Southwest')
    northeast = ObjectProperty(Coordinate,
                               default=Coordinate(),
                               title='Northeast')
コード例 #2
0
ファイル: mssql_base.py プロジェクト: nio-blocks/mssql
class MSSQLBase(Block):
    connection = ObjectProperty(Connection,
                                title='Database Connection',
                                order=50)
    mars = ObjectProperty(Mars,
                          title='Multiple Active Result Sets (MARS)',
                          order=60)

    def __init__(self):
        super().__init__()
        self.cnxn = None
        self.is_connecting = False

    def configure(self, context):
        super().configure(context)
        self.connect()

    def connect(self):
        self.is_connecting = True

        cnxn_props = self.connection()
        mars_enabled = self.mars().enabled()

        cnxn_string = ('DRIVER={};'
                       'PORT={};'
                       'SERVER={};'
                       'DATABASE={};'
                       'UID={};'
                       'MARS_Connection={};'
                       'PWD={}').format('{ODBC Driver 17 for SQL Server}',
                                        cnxn_props.port(), cnxn_props.server(),
                                        cnxn_props.database(),
                                        cnxn_props.user_id(),
                                        'yes' if mars_enabled else 'no',
                                        cnxn_props.password())
        self.logger.debug('Connecting: {}'.format(cnxn_string))
        self.cnxn = pyodbc.connect(cnxn_string)
        self.is_connecting = False

    def disconnect(self):
        if self.cnxn:
            self.cnxn.close()
            self.cnxn = None

    def stop(self):
        super().stop()
        self.disconnect()

    def _get_cursor(self):
        try:
            return self.cnxn.cursor()
        except Exception as e:
            self.disconnect()
            self.connect()
            return self.cnxn.cursor()
コード例 #3
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class HarperDBBase(Block):
    version = VersionProperty('0.1.0')
    dbserver = ObjectProperty(DatabaseConnection,
                              title='Database Connection',
                              order=0)
    dbcreds = ObjectProperty(DatabaseCredentials,
                             title='Database Credentials',
                             order=1)

    def __init__(self):
        super().__init__()

    def configure(self, context):
        super().configure(context)
        protocol = "https" if self.dbserver().ssl() else "http"
        self.url = "{}://{}:{}".format(protocol,
                                       self.dbserver().server(),
                                       self.dbserver().port())
        self.headers = {
            "Content-Type":
            "application/json",
            "Authorization":
            "Basic {}".format(
                base64.b64encode(
                    bytes(
                        '{}:{}'.format(self.dbcreds().userid(),
                                       self.dbcreds().password()),
                        'utf-8')).decode("ascii"))
        }

    def sendQuery(self, payload):
        result = requests.post(
            self.url,
            headers=self.headers,
            json=payload,
            allow_redirects=self.dbserver().allow_redirects(),
            timeout=self.dbserver().timeout())
        return json.loads(result.text)

    def get_job_result(self, jobid):
        payload = {'operation': 'get_job', 'id': jobid}
        result = self.sendQuery(payload)
        resultObject = result[0]
        if resultObject["status"] and resultObject["status"] == "COMPLETE":
            return resultObject
        else:
            time.sleep(1)
            return self.get_job_result(jobid)
コード例 #4
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class HTTPRequests(HTTPRequestsBase):
    """ A Block that makes HTTP Requests.

    Makes the configured request with the configured data parameters,
    evaluated in the context of incoming signals.

    Properties:
        url (str): URL to make request to.
        basic_auth_creds (obj): Basic Authentication credentials.
        http_method (select): HTTP method (ex. GET, POST,
            PUT, DELETE, etc).
        data (obj): URL Parameters.
        headers (list(dict)): Custom headers.

    """
    version = VersionProperty("0.2.0")
    data = ObjectProperty(Data, title="Parameters", default=Data(), order=3)

    http_method = SelectProperty(HTTPMethod,
                                 default=HTTPMethod.GET,
                                 title='HTTP Method',
                                 order=0)

    def _create_payload(self, signal):
        payload = {}
        for param in self.data().params():
            param_key = param.key(signal)
            param_value = param.value(signal)
            payload[param_key] = param_value
        if payload and not self.data().form_encode_data():
            payload = json.dumps(payload)
        return payload
コード例 #5
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class GPIOInterrupts(Block):

    pin = IntProperty(default=0, title="Pin Number")
    version = VersionProperty('0.1.0')
    interrupt_trigger = ObjectProperty(Trigger,
                                  title="Trigger on which edge:",
                                  default=Trigger())

    def __init__(self):
        super().__init__()
        self._gpio = None

    def configure(self, context):
        super().configure(context)
        self._gpio = GPIODevice(self.logger)
        # TODO: allow more than one pin to be configured per block
        self._gpio.interrupt(
            self._callback, self.pin(), self.interrupt_trigger().default().value)

    def stop(self):
        self._gpio.close()
        super().stop()

    def process_signals(self, signals):
        pass

    def _callback(self, channel):
        self.logger.debug(
            "Interrupt callback invoked by pin: {}".format(channel))
        self.notify_signals(Signal({"pin": channel}))
コード例 #6
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class GPIOInterrupts(GeneratorBlock):

    pin = IntProperty(default=0, title="Pin Number")
    version = VersionProperty("0.1.1")
    pull_up_down = ObjectProperty(PullUpDown,
                                  title="Pull Resistor Up/Down",
                                  default=PullUpDown())

    def __init__(self):
        super().__init__()
        self._gpio = None

    def start(self):
        # TODO: allow more than one pin to be configured per block
        self._gpio.interrupt(self._callback, self.pin(),
                             self.pull_up_down().default().value)
        super().start()

    def configure(self, context):
        super().configure(context)
        self._gpio = GPIODevice(self.logger)

    def stop(self):
        self._gpio.close()
        super().stop()

    def process_signals(self, signals):
        pass

    def _callback(self, channel):
        self.logger.debug(
            "Interrupt callback invoked by pin: {}".format(channel))
        self.notify_signals(Signal({"pin": channel}))
コード例 #7
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class SenseHAT(Block, EnrichSignals):

    imu = ObjectProperty(IMUsensor, title='IMU Sensor')
    version = VersionProperty('0.1.0')

    def __init__(self):
        super().__init__()
        self.hat = None

    def configure(self, context):
        super().configure(context)
        self.hat = SenseHat()
        self.hat.set_imu_config(
            self.imu().accel(),
            self.imu().compass(),
            self.imu().gyro())

    def process_signals(self, signals):
        data = {}
        if self.imu().accel():
            data['accelerometer'] = self.hat.get_accelerometer_raw()
        if self.imu().compass():
            data['compass'] = self.hat.get_compass_raw()
        if self.imu().gyro():
            data['gyroscope'] = self.hat.get_gyroscope_raw()
        outgoing_signals = []
        for signal in signals:
            outgoing_signals.append(self.get_output_signal(data, signal))
        self.notify_signals(outgoing_signals)
コード例 #8
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class WatsonToneAnalyzer(EnrichSignals, Block):

    version = VersionProperty("1.0.0")
    creds = ObjectProperty(AuthCreds,
                           title="Bluemix Credentials",
                           default=AuthCreds())
    data_attr = Property(title='Data Field', default='{{ $text }}')

    def __init__(self):
        self.tone_analyzer = None
        super().__init__()

    def configure(self, context):
        super().configure(context)
        self.tone_analyzer = ToneAnalyzerV3(username=self.creds().username(),
                                            password=self.creds().password(),
                                            version='2016-05-19')

    def process_signals(self, signals):
        new_signals = []
        for signal in signals:
            out_sig = self.get_output_signal(
                self.tone_analyzer.tone(self.data_attr(signal)), signal)
            new_signals.append(out_sig)
        self.notify_signals(new_signals)
コード例 #9
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class PhillipsHue(Block):

    version = VersionProperty('0.1.0')
    hub_config = ObjectProperty(HubConfig,
                                title='Hub Configuration',
                                default=HubConfig())
    light_config = ObjectProperty(LightConfig,
                                  title='Light Configuration',
                                  default=LightConfig())
    kill_switch = BoolProperty(title='Turn off Light at Service Stop?',
                               default=True,
                               advanced=True)

    def process_signals(self, signals):
        for signal in signals:
            self.data = {}
            self.api_url = 'http://{0}/api/{1}/lights/{2}/state'.format(
                self.hub_config().hub_ip(signal),
                self.hub_config().user_id(signal),
                self.hub_config().light_number(signal))
            if self.light_config().on_state(signal) == 1:
                self.data["on"] = True
                self.data["hue"] = self.light_config().hue(signal)
                self.data["sat"] = self.light_config().sat(signal)
                self.data["bri"] = self.light_config().bri(signal)
            else:
                self.data["on"] = False
            x = requests.put(self.api_url, json=self.data)
            self.logger.debug(x.text)
            self.logger.debug(self.data)

        self.notify_signals(signals)

    def stop(self):
        if self.kill_switch:
            self.api_url = 'http://{0}/api/{1}/lights/{2}/state'.format(
                self.hub_config().hub_ip(),
                self.hub_config().user_id(),
                self.hub_config().light_number())
            x = requests.put(self.api_url, json={"on": False})
            self.logger.debug(x.text)
        super().stop()
コード例 #10
0
ファイル: mojio_base.py プロジェクト: nio-blocks/mojio
class MojioBase(OAuth2PasswordGrant, RESTPolling):
    """ A base block for making requests to the Moj.io API """

    creds = ObjectProperty(MojioCreds, title='Moj.io Credentials')

    def __init__(self):
        super().__init__()
        # We want the created at dates to be pulled out of the Time field
        self._created_field = 'Time'

    def get_oauth_base_url(self):
        return 'https://api.moj.io/OAuth2/'

    def _authenticate(self):
        """ Overridden from REST Polling block - get OAuth token here """
        try:
            token_info = self.get_access_token(
                username=self.creds().username(),
                password=self.creds().password(),
                addl_params={
                    'client_id': self.creds().client_id(),
                    'client_secret': self.creds().client_secret()
                })
            self.logger.debug("Token retrieved: {}".format(token_info))
        except:
            self.logger.exception("Error obtaining access token")

    def _prepare_url(self, paging=False):
        self._url = "{}{}".format(MOJIO_URL_BASE, self._get_url_endpoint())

        if not self.authenticated():
            self.logger.error("You must be authenticated to poll")
            return

        try:
            return {'MojioAPIToken': self._oauth_token.get('access_token')}
        except:
            self.logger.exception("Unable to set header with access token")

    def _process_response(self, resp):
        """ Overridden from RESTPolling - returns signals to notify """

        # By default, just return all of the signals we get, no paging
        return [Signal(d) for d in self._get_dicts_from_response(resp)], False

    def _get_dicts_from_response(self, resp):
        resp_data = resp.json()
        return resp_data['Data']

    def _get_url_endpoint(self):
        raise NotImplementedError
コード例 #11
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class SenseHAT(Block, EnrichSignals):

    env = ObjectProperty(EnvironmentalSensors,
                         title='Environmental Sensors',
                         order=0)
    imu = ObjectProperty(IMUsensor, title='IMU Sensor', order=1)
    version = VersionProperty('0.1.0')

    def __init__(self):
        super().__init__()
        self.hat = None

    def configure(self, context):
        super().configure(context)
        self.hat = SenseHat()
        self.hat.set_imu_config(self.imu().accel(),
                                self.imu().compass(),
                                self.imu().gyro())

    def process_signals(self, signals):
        data = {}
        if self.imu().accel():
            data['accelerometer'] = self.hat.get_accelerometer_raw()
        if self.imu().compass():
            data['compass'] = self.hat.get_compass_raw()
        if self.imu().gyro():
            data['gyroscope'] = self.hat.get_gyroscope_raw()
        if self.env().rh():
            data['relative_humidity'] = self.hat.get_humidity()
        if self.env().temp():
            data['temperature_C'] = self.hat.get_temperature()
        if self.env().press():
            data['pressure_mbar'] = self.hat.get_pressure()
        outgoing_signals = []
        for signal in signals:
            outgoing_signals.append(self.get_output_signal(data, signal))
        self.notify_signals(outgoing_signals)
コード例 #12
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class TwilioSMS(TerminatorBlock):

    recipients = ListProperty(Recipient, title='Recipients', default=[])
    creds = ObjectProperty(TwilioCreds, title='Credentials')
    from_ = StringProperty(title='From', default='[[TWILIO_NUMBER]]')
    message = Property(title='Message', default='')
    version = VersionProperty("1.0.0")

    def __init__(self):
        super().__init__()
        self._client = None

    def configure(self, context):
        super().configure(context)
        self._client = TwilioRestClient(self.creds().sid(),
                                        self.creds().token())

    def process_signals(self, signals):
        for s in signals:
            self._send_sms(s)

    def _send_sms(self, signal):
        try:
            message = self.message(signal)

            for rcp in self.recipients():
                Thread(target=self._broadcast_msg, args=(rcp, message)).start()

        except Exception as e:
            self.logger.error("Message evaluation failed: {0}: {1}".format(
                type(e).__name__, str(e)))

    def _broadcast_msg(self, recipient, message, retry=False):
        body = "%s: %s" % (recipient.name(), message)
        try:
            # Twilio sends back some useless XML. Don't care.
            response = self._client.messages.create(to=recipient.number(),
                                                    from_=self.from_(),
                                                    body=body)
        except TwilioRestException as e:
            self.logger.error("Status %d" % e.status)
            if not retry:
                self.logger.debug("Retrying failed request")
                self._broadcast_msg(recipient, message, True)
            else:
                self.logger.error("Retry request failed")
        except Exception as e:
            self.logger.error("Error sending SMS to %s (%s): %s" %
                              (recipient.name(), recipient.number(), e))
コード例 #13
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class CounterGenerator():
    """A fast numeric batch generator"""

    attr_name = StringProperty(default='sim',
                               title='Simulated Attribute',
                               order=2)
    attr_value = ObjectProperty(Value, title='Simulated Value', order=3)

    def __init__(self):
        super().__init__()
        self.count_lock = Lock()
        self._range = None
        self._range_length = 0
        self._skip_count = 0

    def configure(self, context):
        super().configure(context)
        if self.attr_value().step() != 0:
            self._range = range(self.attr_value().start(),
                                self.attr_value().end() + 1,
                                self.attr_value().step())
        else:
            self._range = range(self.attr_value().start(),
                                self.attr_value().start() + 1, 1)
        self._range_length = len(self._range)

    def generate_signals(self, n=1):
        with self.count_lock:
            # Build enough range objects to simulate n signals
            ranges = repeat(self._range, ceil(n / self._range_length) + 1)

            # Build an iterator to return the value
            # Skip some if we need to make sure we start at the right spot
            values_iterator = islice(chain.from_iterable(ranges),
                                     self._skip_count, None)

            # In case n is not divisible by the range length, we may need
            # to skip a number of items next time to make sure we start
            #  counting in the right spot
            self._skip_count = (self._skip_count + n) % self._range_length

            return (Signal({name: value}) for (
                name,
                value) in zip(repeat(self.attr_name(), n), values_iterator))
コード例 #14
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class IntercomTagUsers(TerminatorBlock):

    version = VersionProperty("1.0.0")
    access_token = StringProperty(title="Access Token",
                                  default="[[INTERCOM_ACCESS_TOKEN]]")
    tag_name = StringProperty(title="Name of Tag", default="HappyCustomer")
    user_info = ObjectProperty(UserInfo, title="User Info", default=UserInfo())

    def process_signals(self, signals):
        for signal in signals:
            if self.user_info().email(signal) or self.user_info().id(signal):
                response = self._request(
                    body={
                        "name":
                        self.tag_name(signal),
                        "users": [{
                            "email": self.user_info().email(signal)
                        }] if self.user_info().
                        email(signal) else [{
                            "id": self.user_info().id(signal)
                        }]
                    })
                if response.status_code != 200:
                    raise Exception
            else:
                self.logger.error("No user info configured")
                raise Exception

    def _request(self, body={}):
        url = 'https://api.intercom.io/tags'
        kwargs = {}
        kwargs['headers'] = {
            "Authorization": "Bearer {}".format(self.access_token()),
            "Accept": "application/json",
            "Content-Type": "application/json",
        }
        kwargs['json'] = body
        response = getattr(requests, 'post')(url, **kwargs)
        if response.status_code != 200:
            self.logger.error("Http request failed: {} {}".format(
                response, response.json()))
        self.logger.debug("Http response: {}".format(response.json()))
        return response
コード例 #15
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class Hackster(OAuth2PasswordGrant, RESTPolling):

    version = VersionProperty('0.1.0')
    creds = ObjectProperty(HacksterCreds, title='Hackster Credentials')
    endpoint = StringProperty(title='Hackster Endpoint to poll',
                              default='projects')

    def get_oauth_base_url(self):
        return 'https://www.hackster.io/oauth/'

    def _authenticate(self):
        try:
            token_info = self.get_access_token(
                grant_type='client_credentials',
                addl_params={
                    'client_id': self.creds().client_id(),
                    'client_secret': self.creds().client_secret()
                })
            self.logger.debug('Token retrieved: {}.'.format(token_info))
        except:
            self.logger.exception('Error obtaining access token')

    def _prepare_url(self, paging=False):
        self._url = '{}{}'.format(HACKSTER_URL_BASE, self.endpoint())

        if not self.authenticated():
            self.logger.error('You must be authenticated to poll')
            return

        try:
            return self.get_access_token_headers()
        except:
            self.logger.exception('Unable to set header with access token')

    def _process_response(self, resp):
        """ Overridden from RESTPolling - returns signals to notify """

        # By default, just return all of the signals we get, no paging
        return [Signal(d) for d in self._get_dicts_from_response(resp)], False

    def _get_dicts_from_response(self, resp):
        resp_data = resp.json()
        return resp_data['records']
コード例 #16
0
ファイル: amazon_sqs_base_block.py プロジェクト: cowleyk/SQS
class SQSBase(Block):
    """ This is the base block for integrating n.io with AWS SQS"""
    version = VersionProperty("1.0.0")
    creds = ObjectProperty(
        AWSCreds, title="AWS Credentials", default=AWSCreds())

    # Queue to connect to
    queue_url = StringProperty(title="Queue URL", default="")

    def __init__(self):
        self.client = None
        super().__init__()

    def configure(self, context):
        super().configure(context)
        self.client = boto3.client(
            'sqs',
            region_name=self.creds().region_name(),
            aws_access_key_id=self.creds().aws_access_key_id(),
            aws_secret_access_key=self.creds().aws_secret_access_key(),
            aws_session_token=self.creds().aws_secret_access_key())
コード例 #17
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class WatsonTextToSpeech(TerminatorBlock):

    version = VersionProperty("1.0.0")
    creds = ObjectProperty(AuthCreds,
                           title="Bluemix Credentials",
                           default=AuthCreds())
    data_attr = Property(title='Text to Convert', default='{{ $text }}')
    speech_file_location = FileProperty(title='Directory to save audio files',
                                        default='etc/')
    voice = SelectProperty(Voices, default=Voices.EnglishUSLisa, title="Voice")

    def __init__(self):
        self.tts_engine = None
        super().__init__()

    def configure(self, context):
        super().configure(context)
        self.tts_engine = TextToSpeechV1(username=self.creds().username(),
                                         password=self.creds().password())

    def process_signals(self, signals):
        for signal in signals:
            try:
                data = self.tts_engine.synthesize(text=self.data_attr(signal),
                                                  voice=self.voice().value,
                                                  accept="audio/wav")
            except WatsonException:
                self.logger.exception("Invalid Bluemix credentials: ")
            else:
                filename = str(uuid.uuid4()) + ".wav"
                with open(self.speech_file_location().value + filename, 'wb') \
                        as audio_file:
                    audio_file.write(data)
                self.logger.info("Wrote speech file to {} for input text "
                                 "starting with '{}'".format(
                                     self.speech_file_location.value +
                                     filename,
                                     self.data_attr(signal)[:30]))
コード例 #18
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ファイル: amazon_s3_base_block.py プロジェクト: nio-blocks/S3
class S3Base(TerminatorBlock):
    """ This is the base block for integrating n.io with AWS S3"""
    creds = ObjectProperty(
        AWSCreds, title="AWS Credentials", default=AWSCreds())

    # S3 bucket to upload to
    bucket_name = StringProperty(
        title="Bucket Name", default="{{ $bucket_name }}")
    # What to name file in S3 bucket
    key = StringProperty(
        title="S3 File Key", default="{{ $key }}")

    def __init__(self):
        self.client = None
        super().__init__()

    def configure(self, context):
        super().configure(context)
        self.client = boto3.client(
            's3',
            aws_access_key_id=self.creds().aws_access_key_id(),
            aws_secret_access_key=self.creds().aws_secret_access_key(),
            aws_session_token=self.creds().aws_session_token())
コード例 #19
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class WatsonSpeechToText(Block):

    version = VersionProperty('1.0.0')
    creds = ObjectProperty(AuthCreds,
                           title="Bluemix Credentials",
                           default=AuthCreds())
    speech_file_location = FileProperty(title='Path to audio file (.wav)',
                                        default='etc/speech.wav',
                                        mode='rb')

    def __init__(self):
        self.stt_engine = None
        super().__init__()

    def configure(self, context):
        super().configure(context)
        self.stt_engine = SpeechToTextV1(username=self.creds().username(),
                                         password=self.creds().password())

    def process_signals(self, signals):
        new_signals = []
        for signal in signals:
            try:
                with self.speech_file_location(signal) as speech_file:
                    speech_data = speech_file.read()
                    text_dict = self.stt_engine.recognize(
                        audio=speech_data, content_type='audio/wav')
            except WatsonException:
                self.logger.exception("Invalid Bluemix credentials: ")
            except Exception:
                self.logger.exception("Failed to open speech file: {}".format(
                    self.speech_file_location().file))
            else:
                new_signals.append(Signal(text_dict))
                self.logger.debug("Successfully read speech file '{}'".format(
                    self.speech_file_location().file))
        self.notify_signals(new_signals)
コード例 #20
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class FirebaseBase(Base):

    config = ObjectProperty(FirebaseAuthProperty,
                            title="Authentication",
                            order=0)
    collection = StringProperty(title='Database Collection',
                                default='[[FIREBASE_COLLECTION]]',
                                order=3)
    userEmail = StringProperty(title='Authenticated User Email',
                               default='[[USER_EMAIL]]',
                               order=1)
    userPassword = StringProperty(title='Authenticated User Password',
                                  default='[[USER_PASSWORD]]',
                                  order=2)
    authRefresh = IntProperty(title='Auth Refresh Interval',
                              default=1800,
                              advanced=True,
                              order=4)

    def __init__(self):
        super().__init__()
        self.user = None
        self.db = None
        self.auth = None
        self._refresh_job = None

    def configure(self, context):
        super().configure(context)
        self._create_firebase()

    def start(self):
        """ Starts the block

        Begin the job to refresh the auth token every hour
        """
        super().start()
        self._refresh_job = Job(self._refresh_auth,
                                timedelta(seconds=self.authRefresh()), True)

    def stop(self):
        """ Stops the block

        Cancel the token refresh job
        """
        self._refresh_job.cancel()
        super().stop()

    def _refresh_auth(self):
        self.logger.info("Refeshing user token")
        self.user = self.auth.refresh(self.user['refreshToken'])

    def _create_firebase(self):
        firebase = pyrebase.initialize_app(self.config().get_auth_object())
        self.auth = firebase.auth()
        self.user = self.auth.sign_in_with_email_and_password(
            self.userEmail(), self.userPassword())
        self.db = firebase.database()

    def _get_collection(self, signal=None):
        collection = self.collection(signal)
        if not collection.startswith('/'):
            return "/{}".format(collection)
        else:
            return collection
コード例 #21
0
class FacebookPost(TerminatorBlock):

    version = VersionProperty("1.0.0")
    message = Property(title='Message', default='')
    feed_id = StringProperty(title='Feed ID (user, group, etc.)', default='me')
    creds = ObjectProperty(FacebookCreds, title='Credentials')

    def __init__(self):
        super().__init__()
        self._auth = None
        self._access_token = None

    def start(self):
        super().start()
        self._authenticate()

    def process_signals(self, signals):
        if self._check_permissions():
            for s in signals:
                try:
                    message = self.message(s)
                except Exception as e:
                    self.logger.exception("Message evaluation failed:")
                    continue
                self._post_to_feed(quote_plus(message))
        else:
            self.logger.error("Insufficient permissions for id: {0}".format(
                self.feed_id()))

    def _post_to_feed(self, message):
        url = POST_URL.format(self.feed_id(), message, self._access_token)
        response = requests.post(url)
        status = response.status_code

        if status != 200:
            self.logger.error(
                "Facebook post failed with status {0}".format(status))
        else:
            self.logger.debug("Posted to Facebook!")

    def _authenticate(self):
        """ Generates and records the access token for pending requests.

        """
        if self.creds().consumer_key() is None or \
                self.creds().app_secret() is None:
            self.logger.error("You need a consumer key and app secret")
        else:
            self._access_token = self._request_access_token()

    def _check_permissions(self):
        result = False
        url = PERMISSIONS_URL.format(self.feed_id(), self._access_token)
        response = requests.get(url)
        if response.status_code == 200:
            data = response.json().get('data')[0] or {}
            if data.get('publish_actions') == 1:
                result = True
        return result

    def _request_access_token(self):
        """ Request an access token directly from facebook.

        Args:
            None

        Returns:
            token (str): The access token, which goes on the end of a request.

        """
        resp = requests.get(
            TOKEN_URL_FORMAT.format(self.creds().consumer_key(),
                                    self.creds().app_secret()))
        status = resp.status_code

        # If the token request fails, try to use the configured app id
        # and secret. This probably won't work, but the docs say that it
        # should. for more info, see:
        # https://developers.facebook.com/docs/facebook-login/access-tokens
        token = "{}.{}".format(self.creds().consumer_key(),
                               self.creds().app_secret())
        if status == 200:
            token = resp.text.split('access_token=')[1]
        else:
            self.logger.error("Facebook token request failed with status %d" %
                              status)
        return token
コード例 #22
0
class PostgresBase(LimitLock, Retry, TerminatorBlock):
    """A block for communicating with an postgres database.

    Properties:
        host(str): hostname of the database to connect to
        port(int): postgres port on the host to connect to
        db_name(str): name of the database on the host
        creds(object): username and password for the host database
        table_name(str): name of the table on the database to execute commands
                         on.
        commit_all(bool): hidden attribute that configures whether to commit
                          valid transactions
        ssl_mode(select): whether to require or prefer an SSL connection.
        ssl_cert(file): path to SSL cert to use for an SSL connection.
    """

    version = VersionProperty('1.0.0')
    host = StringProperty(title="Host", default="[[POSTGRES_HOST]]")
    port = IntProperty(title="Port", default="[[POSTGRES_PORT]]")
    db_name = StringProperty(title="DB Name", allow_none=False)
    creds = ObjectProperty(AuthCreds, title="Credentials", default=AuthCreds())
    table_name = StringProperty(title="Table Name", allow_none=False)
    commit_all = BoolProperty(title="Commit transactions",
                              default=True,
                              visible=False)
    ssl_mode = SelectProperty(SSLOption,
                              default=SSLOption.prefer,
                              title='SSL Option')
    ssl_cert = FileProperty(title="SSL cert path", default='/etc/ssl_cert.pem')

    def __init__(self):
        super().__init__()
        self._conn = None
        self._cur = None
        self.column_names = []

    def configure(self, context):
        super().configure(context)

        # validate any user-given variables
        self._validate_string(self.table_name())

        self.connect()

        # create list of column names for insertion validation
        self._cur.execute("SELECT column_name FROM information_schema.columns "
                          "WHERE table_name = '{}';".format(self.table_name()))
        self.column_names = [row[0] for row in self._cur]

    def stop(self):
        self.logger.debug('closing postgres connection...')
        self.disconnect()
        super().stop()

    def process_signals(self, signals):
        self.execute_with_lock(self.execute_with_retry,
                               100,
                               self._locked_process_signals,
                               signals=signals)

    def _locked_process_signals(self, signals):
        pass

    def connect(self):
        """connect to the database and create the cursor object for executing
        commands
        """
        self.logger.debug('Connecting to postgres db...')
        self._conn = connect(database=self.db_name(),
                             user=self.creds().username(),
                             password=self.creds().password(),
                             host=self.host(),
                             port=self.port(),
                             sslmode=self.ssl_mode().value,
                             sslrootcert=self.ssl_cert().value)
        self._cur = self._conn.cursor()

    def disconnect(self):
        """disconnect from the database and close the cursor object"""
        self._cur.close()
        self._conn.close()

    def _validate_column_name(self, key):
        # make sure user input column name is exactly equal to one of the
        # column names queried in PostgresBase.configure()

        if key not in self.column_names:
            raise ValueError("{} is not a valid column in the {} table. "
                             "Valid columns: {}".format(
                                 key, self.table_name(), self.column_names))

    @staticmethod
    def _validate_string(string):
        """validate any string going into an SQL statement to protect
        against SQL injection. Every valid SQL identifier and keyword must
        obey the format represented by the regex below. If the variable is
        found to be invalid, this fails configuration of this block."""

        if not re.match("^[a-zA-Z_][a-zA-Z0-9_]*$", string):
            raise ValueError("SQL keyword or identifier '{}' did not pass "
                             "validation.".format(string))
コード例 #23
0
class FacebookFeed(RESTPolling):
    """ This block polls the Facebook Graph API, using the feed endpoint

    Params:
        phrase (str): The phrase with which to search posts. Need not be
            url-quoted.
        limit (int): Maximum number of posts contained in each response.
        lookback (timedelta): Initial window of desirable posts (for the
            very first request.

    """
    URL_FORMAT = ("https://graph.facebook.com/v2.2/" "{}/{}?since={}&limit={}")
    TOKEN_URL_FORMAT = ("https://graph.facebook.com/oauth"
                        "/access_token?client_id={0}&client_secret={1}"
                        "&grant_type=client_credentials")

    creds = ObjectProperty(Creds, title='Credentials', default=Creds())
    lookback = TimeDeltaProperty(title='Lookback', default={"seconds": 0})
    limit = IntProperty(title='Limit (per poll)', default=10)
    feed_type = SelectProperty(FeedType,
                               default=FeedType.FEED,
                               title='Feed Type')
    version = VersionProperty("1.0.2")

    def __init__(self):
        super().__init__()
        self._url = None
        self._paging_field = "paging"
        self._created_field = "created_time"
        self._access_token = None

    def configure(self, context):
        super().configure(context)
        lb = self._unix_time(datetime.utcnow() - self.lookback())
        self._freshest = [lb] * self._n_queries

    def _authenticate(self):
        """ Overridden from the RESTPolling block.

        Generates and records the access token for pending requests.

        """
        if self.creds().consumer_key() is None or \
                self.creds().app_secret() is None:
            self.logger.error("You need a consumer key and app secret, yo")
        else:
            self._access_token = self._request_access_token()

    def _process_response(self, resp):
        """ Extract fresh posts from the Facebook graph api response object.

        Args:
            resp (Response)

        Returns:
            signals (list(Signal)): The list of signals to notify, each of
                which corresponds to a fresh FB post.
            paging (bool): Denotes whether or not paging requests are
                necessary.

        """
        signals = []
        resp = resp.json()
        fresh_posts = posts = resp['data']
        paging = resp.get(self._paging_field) is not None
        self.logger.debug("Facebook response contains %d posts" % len(posts))

        # we shouldn't see empty responses, but we'll protect our necks.
        if len(posts) > 0:
            self.update_freshness(posts)
            fresh_posts = self.find_fresh_posts(posts)
            paging = len(fresh_posts) == self.limit()

            # store the timestamp of the oldest fresh post for use in url
            # preparation later.
            if len(fresh_posts) > 0:
                self.prev_stalest = self.created_epoch(fresh_posts[-1])

        signals = [FacebookSignal(p) for p in fresh_posts]
        self.logger.debug("Found %d fresh posts" % len(signals))

        return signals, paging

    def _request_access_token(self):
        """ Request an access token directly from facebook.

        Args:
            None

        Returns:
            token (str): The access token, which goes on the end of a request.

        """
        resp = requests.get(
            self.TOKEN_URL_FORMAT.format(self.creds().consumer_key(),
                                         self.creds().app_secret()))
        status = resp.status_code

        # If the token request fails, try to use the configured app id
        # and secret. This probably won't work, but the docs say that it
        # should. for more info, see:
        # https://developers.facebook.com/docs/facebook-login/access-tokens
        token = "%s|%s" % (self.creds().consumer_key(),
                           self.creds().app_secret())
        if status == 200:
            token = resp.text.split('access_token=')[1]
        else:
            self.logger.error("Facebook token request failed with status %d" %
                              status)
        return token

    def _prepare_url(self, paging=False):
        """ Overridden from RESTPolling block.

        Appends the access token to the format string and builds the headers
        dictionary. If paging, we do some string interpolation to get our
        arguments into the request url. Otherwise, we append the until
        parameter to the end.

        Args:
            paging (bool): Are we paging?

        Returns:
            headers (dict): Contains the (case sensitive) http headers.

        """
        headers = {"Content-Type": "application/json"}
        fmt = "%s&access_token=%s" % (self.URL_FORMAT, self._access_token)
        if not paging:
            self.paging_url = None
            feed_type = self.feed_type().value
            self.url = fmt.format(self.current_query, feed_type,
                                  self.freshest - 2, self.limit())
        else:
            self.paging_url = "%s&until=%d" % (self.url, self.prev_stalest)

        return headers

    def _on_failure(self, resp, paging, url):
        execute_retry = True
        try:
            status_code = resp.status_code
            resp = resp.json()
            err_code = resp.get('error', {}).get('code')
            if (status_code == 404 and err_code in [803, 2500]
                    or status_code == 500 and err_code == 2):
                # Page feed requests require only an access token [1] but user
                # feed requsts require a user access token with read_stream
                # permission [2].
                # [1]: https://developers.facebook.com/docs/graph-api/
                # reference/v2.2/page/feed
                # [2]: https://developers.facebook.com/docs/graph-api/
                # reference/v2.2/user/feed
                self.logger.warning("Skipping feed: {}".format(
                    self.current_query))
                execute_retry = False
                self._increment_idx()
        finally:
            self.logger.error(
                "Polling request of {} returned status {}: {}".format(
                    url, status_code, resp))
            if execute_retry:
                self._retry(paging)
コード例 #24
0
ファイル: cron.py プロジェクト: AddisonHoff/simulator
class CronTrigger():
    """ Notify signals accoriding to cron-like timetable """

    cron = ObjectProperty(CronConf, title='Cron Schedule', default=CronConf())
    utc = BoolProperty(title='UTC', default=False)

    def __init__(self):
        super().__init__()
        self._job = None
        self._cron_specs = None

    def configure(self, context):
        super().configure(context)
        # TODO: check that the config is valid cron syntax
        self._cron_specs = [
            self.cron().minute(),
            self.cron().hour(),
            self.cron().day_of_month(),
            self.cron().month(),
            self.cron().day_of_week()
        ]

    def start(self):
        super().start()
        # Like crontab, check to run jobs every minute
        self._job = Job(self._cron, timedelta(minutes=1), True)
        # Run a cron cycle immediately, but in a new thread since it
        # might take some time and we don't want it to hold up start
        spawn(self._cron)

    def stop(self):
        """ Stop the simulator thread and signal generation """
        if self._job:
            self._job.cancel()
        super().stop()

    def _cron(self):
        """ Called every minute to check if cron job should notify signals """
        self.logger.debug("Checking if cron emit should run")
        if (self.utc()):
            now = datetime.utcnow()
        else:
            now = datetime.now()
        now = [
            str(now.minute),
            str(now.hour),
            str(now.day),
            str(now.month),
            str(now.weekday())
        ]
        if self._check_cron(now):
            spawn(self._emit)

    def _check_cron(self, now):
        """ Return True if cron property matches with `now`

        `now` is list containing the 5 cron field
        """
        for i in range(5):
            # '*' should match no matter what
            if self._cron_specs[i] == '*':
                now[i] = '*'
        # TODO: handle more interesting cron settings than just numbers and '*'
        return now == self._cron_specs

    def _emit(self):
        self.logger.debug("Generating signals")
        signals = self.generate_signals()
        # If a generator is returned, build the list
        if not isinstance(signals, list):
            signals = list(signals)
        if signals:
            self.logger.debug("Notifying {} signals".format(len(signals)))
            self.notify_signals(signals)
        else:
            self.logger.debug("No signals generated")
コード例 #25
0
class TensorFlow(EnrichSignals, Block):

    layers = ListProperty(Layers,
                          title='Network Layers',
                          default=[{
                              'count': 10,
                              'activation': 'softmax',
                              'initial_weights': 'random',
                              'bias': True
                          }])
    network_config = ObjectProperty(NetworkConfig,
                                    title='ANN Configuration',
                                    defaul=NetworkConfig())
    models = ObjectProperty(ModelManagement,
                            title='Model Management',
                            default=ModelManagement())
    version = VersionProperty("0.5.0")

    def __init__(self):
        super().__init__()
        self.X = None
        self.XX = None
        self.Y_ = None
        self.prob_keep = None
        self.train_step = None
        self.correct_prediction = None
        self.prediction = None
        self.sess = None
        self.loss_function = None
        self.saver = None
        self.iter = 0
        self.summaries = None
        self.summary_writer = None

    def configure(self, context):
        super().configure(context)
        if self.network_config().random_seed() != None:
            tf.set_random_seed(self.network_config().random_seed())
        # input tensor shape
        shape = []
        for dim in self.network_config().input_dim():
            if dim.value.value == -1:
                shape.append(None)
            else:
                shape.append(dim.value.value)
        self.X = tf.placeholder(tf.float32, shape=shape, name='INPUT')
        # specify desired output (labels)
        shape = [None, self.layers()[-1].count()]
        self.Y_ = tf.placeholder(tf.float32, shape=shape, name='LABELS')
        self.prob_keep = tf.placeholder(tf.float32, name='PROB_KEEP')
        layers_logits = {}
        prev_layer = self.X
        for i, layer in enumerate(self.layers()):
            name = 'layer{}'.format(i)
            with tf.name_scope(name):
                if layer.activation().value != 'dropout':
                    flattened = 1
                    for dim in prev_layer.shape:
                        if dim.value != None:
                            flattened *= dim.value
                    # TODO: Flatten only if not convolutional layer
                    XX = tf.reshape(prev_layer, [-1, flattened])
                    W = tf.Variable(getattr(tf,
                                            layer.initial_weights().value)([
                                                XX.shape[-1].value,
                                                layer.count()
                                            ]),
                                    name='{}_WEIGHTS'.format(name))
                    b = tf.Variable(getattr(
                        tf,
                        layer.initial_weights().value)([layer.count()]),
                                    name='{}_BIASES'.format(name))
                    if self.models().tensorboard_int():
                        with tf.name_scope('weights'):
                            tf.summary.histogram('weights', W)
                        with tf.name_scope('biases'):
                            tf.summary.histogram('biases', b)
                    if i == (len(self.layers()) - 1):
                        # calculate logits separately for use by loss function
                        if layer.bias.value:
                            layers_logits[name + '_logits'] = \
                                tf.matmul(XX, W) + b
                        else:
                            layers_logits[name + '_logits'] = \
                                tf.matmul(XX, W)
                        layers_logits[name] = getattr(
                            tf.nn,
                            layer.activation().value)(layers_logits[name +
                                                                    '_logits'])
                    else:
                        if layer.bias.value:
                            logits = tf.matmul(XX, W) + b
                        else:
                            logits = tf.matmul(XX, W)
                        layers_logits[name] = \
                            getattr(tf.nn, layer.activation().value)(logits)
                else:
                    name = 'layer{}_d'.format(i)
                    layers_logits[name] = tf.nn.dropout(
                        prev_layer, self.prob_keep)
                prev_layer = layers_logits[name]
        output_layer_num = len(self.layers()) - 1
        Y = layers_logits['layer{}'.format(output_layer_num)]
        Y_logits = layers_logits['layer{}_logits'.format(output_layer_num)]
        if self.network_config().loss().value == 'cross_entropy':
            self.loss_function = tf.reduce_mean(abs(self.Y_ * tf.log(Y)))
        if self.network_config().loss().value == \
                'softmax_cross_entropy_with_logits':
            self.loss_function = tf.reduce_mean(
                tf.nn.softmax_cross_entropy_with_logits(logits=Y_logits,
                                                        labels=self.Y_))
        if self.network_config().loss().value == 'mean_absolute_error':
            self.loss_function = tf.reduce_mean(abs(self.Y_ - Y))
        if self.models().tensorboard_int():
            with tf.name_scope('loss'):
                tf.summary.scalar(self.network_config().loss().value,
                                  self.loss_function)
        self.train_step = getattr(
            tf.train,
            self.network_config().optimizer().value)(
                self.network_config().learning_rate()).minimize(
                    self.loss_function)
        self.prediction = Y
        if self.models().load_file() or self.models().save_file():
            self.saver = tf.train.Saver(max_to_keep=None)
        self.sess = tf.Session()
        if self.models().tensorboard_int():
            label = self.models().tensorboard_tag()
            self.summaries = tf.summary.merge_all()
            self.summary_writer = tf.summary.FileWriter(
                '{}/{}'.format(self.models().tensorboard_dir(), label),
                self.sess.graph)
            self.logger.debug('TensorBoard summary label: {}'.format(label))
        if self.models().load_file():
            self.saver.restore(self.sess, self.models().load_file())
        else:
            self.sess.run(tf.global_variables_initializer())

    def process_signals(self, signals, input_id=None):
        new_signals = []
        for signal in signals:
            if input_id == 'train':
                if self.models().tensorboard_int():
                    if self.iter % self.models().tensorboard_int() == 0:
                        summary, _, loss, predict = self._train(signal)
                        self.summary_writer.add_summary(summary, self.iter)
                    else:
                        _, loss, predict = self._train(signal)
                    self.iter += 1
                else:
                    _, loss, predict = self._train(signal)
                output = {
                    'input_id': input_id,
                    'loss': loss,
                    'prediction': predict
                }
                new_signals.append(self.get_output_signal(output, signal))
            elif input_id == 'test':
                loss, predict = self._test(signal)
                output = {
                    'input_id': input_id,
                    'loss': loss,
                    'prediction': predict
                }
                new_signals.append(self.get_output_signal(output, signal))
            else:
                predict = self._predict(signal)
                output = {
                    'input_id': input_id,
                    'loss': None,
                    'prediction': predict
                }
                new_signals.append(self.get_output_signal(output, signal))
        self.notify_signals(new_signals)

    def stop(self):
        if self.models().save_file():
            self.logger.debug('saving model to {}'.format(
                self.models().save_file()))
            self.saver.save(self.sess, self.models().save_file())
        if self.models().tensorboard_int():
            self.summary_writer.close()
        self.sess.close()
        super().stop()

    def _train(self, signal):
        batch_X = signal.batch
        batch_Y_ = signal.labels
        fetches = [self.train_step, self.loss_function, self.prediction]
        dropout_rate = 1 - self.network_config().dropout()
        if self.models().tensorboard_int():
            if self.iter % self.models().tensorboard_int() == 0:
                fetches = [self.summaries] + fetches
        return self.sess.run(fetches,
                             feed_dict={
                                 self.X: batch_X,
                                 self.Y_: batch_Y_,
                                 self.prob_keep: dropout_rate
                             })

    def _test(self, signal):
        batch_X = signal.batch
        batch_Y_ = signal.labels
        fetches = [self.loss_function, self.prediction]
        return self.sess.run(fetches,
                             feed_dict={
                                 self.X: batch_X,
                                 self.Y_: batch_Y_,
                                 self.prob_keep: 1
                             })

    def _predict(self, signal):
        batch_X = signal.batch
        fetches = self.prediction
        return self.sess.run(fetches,
                             feed_dict={
                                 self.X: batch_X,
                                 self.prob_keep: 1
                             })
コード例 #26
0
class EIPGetAttribute(EnrichSignals, Retry, Block):

    host = StringProperty(title='Hostname', default='localhost', order=0)
    path = ObjectProperty(ObjectPath, title='CIP Object Path', order=1)
    version = VersionProperty('0.2.1')

    def __init__(self):
        super().__init__()
        self.cnxn = None

    def before_retry(self, *args, **kwargs):
        self._disconnect()
        self._connect()

    def configure(self, context):
        super().configure(context)
        try:
            self._connect()
        except Exception:
            self.cnxn = None
            msg = 'Unable to connect to {}'.format(self.host())
            self.logger.exception(msg)

    def process_signals(self, signals):
        host = self.host()
        outgoing_signals = []
        if self.cnxn is None:
            try:
                msg = 'Not connected to {}, reconnecting...'.format(host)
                self.logger.warning(msg)
                self._connect()
            except Exception:
                self.cnxn = None
                msg = 'Unable to connect to {}'.format(host)
                self.logger.exception(msg)
                return
        for signal in signals:
            path = [
                self.path().class_id(signal),
                self.path().instance_num(signal)
            ]
            if self.path().attribute_num(signal) is not None:
                path.append(int(self.path().attribute_num(signal)))
            try:
                value = self.execute_with_retry(self._make_request, path)
            except Exception:
                value = False
                self.cnxn = None
                msg = 'get_attribute_single failed, host: {}, path: {}'
                self.logger.exception(msg.format(host, path))
            if value:
                new_signal_dict = {}
                new_signal_dict['host'] = host
                new_signal_dict['path'] = path
                new_signal_dict['value'] = value
                new_signal = self.get_output_signal(new_signal_dict, signal)
                outgoing_signals.append(new_signal)
            else:
                if self.cnxn is None:
                    msg = 'Connection to {} failed.'.format(host)
                else:
                    status = self.cnxn.get_status()
                    msg = 'get_attribute_single failed, {}, host: {}, path: {}'
                    msg = msg.format(status, host, path)
                self.logger.error(msg)
        self.notify_signals(outgoing_signals)

    def stop(self):
        self._disconnect()
        super().stop()

    def _connect(self):
        # each instance of CIPDriver can open connection to only 1 host
        # subsequent calls to open() are quietly ignored, and close()
        # does not take any args, so one host per block instance for now
        self.cnxn = CIPDriver()
        self.cnxn.open(self.host())

    def _disconnect(self):
        if self.cnxn is not None:
            self.cnxn.close()
            self.cnxn = None

    def _make_request(self, path):
        return self.cnxn.get_attribute_single(*path)
コード例 #27
0
class AddTimestamp(EnrichSignals, Block):

    utc = BoolProperty(title='UTC', default=True)

    output_attr = StringProperty(
        title='Outgoing Signal Attribute',
        default='timestamp',
        order=0,
        advanced=True)
    milliseconds = BoolProperty(
        title='Milliseconds',
        default=True,
        order=1,
        advanced=True)

    enrich = ObjectProperty(
        CustomEnrichProperties,
        title='Signal Enrichment',
        default=CustomEnrichProperties(),  # use custom default
        order=100,
        advanced=True)
    version = VersionProperty('0.1.0')

    def process_signals(self, signals):
        current_time = self._get_current_time()
        output_signals = []
        for signal in signals:
            signal_dict = {
                self.output_attr(signal): current_time,
            }
            output_signal = self.get_output_signal(signal_dict, signal)
            output_signals.append(output_signal)
        self.notify_signals(output_signals)

    def _get_current_time(self):
        """ Return an ISO-formatted string. Helper `_truncate_` functions
            are to support Python < 3.6, after which `datetime.isoformat()`
            takes a `timespec` arg."""
        if self.utc():
            now = datetime.utcnow()
            if not self.milliseconds():
                now = self._truncate_fractional_seconds(now)
                current_time = now.isoformat() + 'Z'
            else:
                current_time = now.isoformat()
                current_time = self._truncate_microseconds(current_time) + 'Z'
            return current_time
        # get local timestamp
        now = datetime.now()
        if not self.milliseconds():
            now = self._truncate_fractional_seconds(now)
            current_time = str(self._localize_time(now))
        else:
            current_time = str(self._localize_time(now))
            current_time = self._truncate_microseconds(current_time)
        # remove colon from TZ info (±HHMM format)
        # TODO: Add options for formats ±HH:MM, ±HH
        current_time = ''.join(current_time.rsplit(':', maxsplit=1))
        return current_time

    @staticmethod
    def _localize_time(now):
        """ Return datetime `now` with local timezone."""
        current_time_with_tz = get_localzone().localize(now)
        current_time = current_time_with_tz.isoformat()
        return current_time

    @staticmethod
    def _truncate_fractional_seconds(now):
        """ Return a datetime equal to `now` with `microsecond=0`"""
        now = datetime(
            year=now.year,
            month=now.month,
            day=now.day,
            hour=now.hour,
            minute=now.minute,
            second=now.second,
            microsecond=0)
        return now

    @staticmethod
    def _truncate_microseconds(timestamp):
        """ Remove microseconds from string `timestamp`"""
        base, suffix = timestamp.split('.')
        microseconds, offset = suffix[:6], suffix[6:]
        milliseconds = microseconds[:3]
        suffix = milliseconds + offset
        timestamp = '.'.join([base, suffix])
        return timestamp
コード例 #28
0
class XeroCreateInvoice(Block):

    line_items = ObjectProperty(LineItems,
                                title='Invoice Line Item',
                                default={})
    version = VersionProperty("0.1.3")
    consumer_key = StringProperty(title='Xero Consumer Key',
                                  default='[[XERO_CONSUMER_KEY]]',
                                  allow_none=False)
    contact_name = StringProperty(title='Contact Name (Stripe customerID)',
                                  default='{{ $customer }}')

    def __init__(self):
        self.xero = None
        self.credentials = None
        super().__init__()

    def configure(self, context):
        super().configure(context)

        con_key = self.consumer_key()
        with open('blocks/xero/keys/privatekey.pem') as keyfile:
            rsa_private_key = keyfile.read()

        self.credentials = PrivateCredentials(con_key, rsa_private_key)
        self.xero = Xero(self.credentials)

    def start(self):
        super().start()

    def process_signals(self, signals):
        response_signal = []
        for signal in signals:
            response_signal.append(
                Signal(
                    self.xero.invoices.put({
                        'Type':
                        self.line_items().invoice_type(),  # ACCREC
                        'Contact': {
                            'Name': self.contact_name(
                                signal)  # Stripe customer ('cus_000...')
                        },
                        'DueDate':
                        datetime.utcnow() + timedelta(days=30),
                        'LineItems': [{
                            'Description':
                            self.line_items().description(signal),
                            'Quantity':
                            self.line_items().quantity(signal),
                            'UnitAmount':
                            self.line_items().unit_amount(signal),
                            'TaxAmount':
                            self.line_items().tax_amount(signal),
                            'TaxType':
                            'NONE',
                            'AccountCode':
                            self.line_items().invoice_account_code()
                        }],
                        'Status':
                        'SUBMITTED'
                    })[0]))

        self.notify_signals(response_signal)
コード例 #29
0
ファイル: voice_block.py プロジェクト: niolabs/demo_mlir
class TwilioVoice(TerminatorBlock):

    recipients = ListProperty(Recipient, title='Recipients', default=[])
    creds = ObjectProperty(TwilioCreds, title='Credentials')
    from_ = StringProperty(default='[[TWILIO_NUMBER]]', title='From')
    url = StringProperty(default='', title='Callback URL')
    message = Property(
        default='An empty voice message',
        title='Message')
    port = IntProperty(title='Port', default=8184)
    host = StringProperty(title='Host', default='[[NIOHOST]]')
    endpoint = StringProperty(title='Endpoint', default='')
    version = VersionProperty("1.0.0")

    def __init__(self):
        super().__init__()
        self._client = None
        self._messages = {}
        self._server = None

    def configure(self, context):
        super().configure(context)
        self._client = TwilioRestClient(self.creds().sid,
                                        self.creds().token)
        conf = {
            'host': self.host(),
            'port': self.port()
        }
        self.configure_server(conf, Speak(self.endpoint(), self))

    def start(self):
        super().start()
        # Start Web Server
        self.start_server()

    def stop(self):
        super().stop()
        # Stop Web Server
        self.stop_server()

    def process_signals(self, signals):
        for s in signals:
            self._place_calls(s)

    def _place_calls(self, signal):
        try:
            msg = self.message(signal)
            msg_id = uuid4().hex
            self._messages[msg_id] = msg
            for rcp in self.recipients():
                spawn(target=self._call, recipient=rcp, message_id=msg_id)
        except Exception as e:
            self.logger.error(
                "Message evaluation failed: {0}: {1}".format(
                    type(e).__name__, str(e))
            )

    def _call(self, recipient, message_id, retry=False):
        try:
            # Twilio sends back some useless XML. Don't care.
            to = recipient.number,
            from_ = self.from_(),
            url = "%s?msg_id=%s" % (self.url(), message_id)
            self.logger.debug("Making call to {}, from {}, with callback url"
                              " {}".format(to, from_, url))
            self._client.calls.create(
                to=to,
                from_=from_,
                url=url
            )
        except TwilioRestException as e:
            self.logger.error("Status %d" % e.status)
            if not retry:
                self.logger.debug("Retrying failed request")
                self._call(recipient, message_id, True)
            else:
                self.logger.error("Retry request failed")
        except Exception as e:
            self.logger.error("Error sending voice {}: {}".format(
                recipient, e
            ))
コード例 #30
0
ファイル: email_block.py プロジェクト: niolabs/demo_mlir
class Email(TerminatorBlock):
    """ A block for sending email.

    Properties:
        to (list(Identity)): A list of recipient identities (name/email).
        server (SMTPConfig): host, port, account, etc. for SMTP server.
        message (Message): The message contents and sender name.

    """
    version = VersionProperty("0.1.0")
    to = ListProperty(Identity, title='Receiver', default=[])
    server = ObjectProperty(SMTPConfig, title='Server', allow_none=False)
    message = ObjectProperty(Message, title='Message', allow_none=True)

    def __init__(self):
        super().__init__()
        self._retry_conn = None

    def process_signals(self, signals):
        """ For each signal object, build the configured message and send
        it to each recipient.

        Note that this method does not return until all of the messages are
        successfully sent (i.e. all the sendmail threads have exited). This
        avoids dropped messages in the event that the disconnect thread gets
        scheduled before all sendmail threads are complete.

        Args:
            signals (list(Signal)): The signals to process.

        Returns:
            None

        """
        # make a new connection to the SMTP server each time we get a new
        # batch of signals.
        smtp_conn = SMTPConnection(self.server(), self.logger)
        try:
            smtp_conn.connect()
        except:
            self.logger.error('Aborting sending emails. '
                              '{} signals discarded'.format(len(signals)))
            return

        # handle each incoming signal
        for signal in signals:
            try:
                subject = self.message().subject(signal)
            except Exception as e:
                subject = self.get_defaults()['message'].subject()
                self.logger.error(
                    "Email subject evaluation failed: {0}: {1}".format(
                        type(e).__name__, str(e)))

            try:
                body = self.message().body(signal)
            except Exception as e:
                body = self.get_defaults()['message'].body()
                self.logger.error(
                    "Email body evaluation failed: {0}: {1}".format(
                        type(e).__name__, str(e)))

            self._send_to_all(smtp_conn, subject, body, signal)

        # drop the SMTP connection after each round of signals
        smtp_conn.disconnect()

    def _send_to_all(self, conn, subject, body, signal):
        """ Build a message based on the provided content and send it to
        each of the configured recipients.

        Args:
            conn (SMTPConnection): The connection over which to send
                the message.
            subject (str): The desired subject line of the message.
            body (str): The desired message body.

        Returns:
            None

        """
        sender = self.message().sender()
        msg = self._construct_msg(subject, body)
        for rcp in self.to():
            # customize the message to each recipient
            msg['To'] = rcp.name(signal)
            try:
                conn.sendmail(sender, rcp.email(signal), msg.as_string())
                self.logger.debug("Sent mail to: {}".format(rcp.email(signal)))
            except Exception as e:
                self.logger.error("Failed to send mail: {}".format(e))

    def _construct_msg(self, subject, body):
        """ Construct the multipart message. Mail clients unable to
        render HTML will default to plaintext.

        Args:
            subject (str): The subject line.
            body (str): The message body.

        Returns:
            msg (MIMEMultipart): A message containing generic
                headers, and HTML version, and a plaintext version.

        """
        msg = MIMEMultipart('alternative')
        msg['Subject'] = subject
        msg['From'] = self.message().sender()

        plain_part = MIMEText(body, 'plain')
        msg.attach(plain_part)

        html_part = MIMEText(HTML_MSG_FORMAT.format(body), 'html')
        msg.attach(html_part)

        return msg