Add scdf-python-app. fix polyglot-python-task issue

dataflow-website/recipes/polyglot/polyglot-python-task/util/task_args.py

@@ -16,8 +16,10 @@ def get_cmd_arg(name):
     for k, v in ((k.lstrip('-'), v) for k, v in (a.split('=') for a in sys.argv[1:])):
         d[k].append(v)
 
-    return d[name][0]
+    if bool(d[name]):
-
+        return d[name][0]
+    else:
+        return None
 
 def get_db_url():
     """Computes sqlalchemy connection URL

dataflow-website/recipes/polyglot/scdf-python-app/Dockerfile

@@ -0,0 +1,9 @@
+FROM python:3.7.3-slim
+
+RUN pip install kafka-python
+RUN pip install flask
+
+ADD /util/* /util/
+ADD barista_app.py /
+ENTRYPOINT ["python","/barista_app.py"]
+CMD []

dataflow-website/recipes/polyglot/scdf-python-app/README.md

@@ -0,0 +1,25 @@
+
+Build docker image and push to Docker Hub.
+```bash
+docker build -t tzolov/scdf_python_app:0.1 .
+docker push tzolov/scdf_python_app:0.1
+```
+NOTE: replace `tzolov` with your docker hub prefix.
+
+Register the docker image as SCDF `app` application:
+```bash
+app register --type app --name barista-app --uri docker://tzolov/scdf_python_app:0.1
+```
+
+Build the Bar pipelines:
+```bash
+stream create --name orders --definition "customer: time > :orders" --deploy
+stream create --name cold-drink-line --definition ":coldDrinks > cold-drinks: log" --deploy
+stream create --name hot-drink-line --definition ":hotDrinks > hot-drinks: log" --deploy
+stream create --name bar --definition "barista-app"
+stream deploy --name bar --properties app.barista-app.spring.cloud.stream.bindings.orders.destination=orders,app.barista-app.spring.cloud.stream.bindings.hot.drink.destination=hotDrinks,app.barista-app.spring.cloud.stream.bindings.cold.drink.destination=coldDrinks
+```
+
+![alt text](./scdf-barista-python-polyglot.png "Logo Title Text 1")
+
+

dataflow-website/recipes/polyglot/scdf-python-app/barista_app.py

@@ -0,0 +1,71 @@
+from kafka import KafkaConsumer, KafkaProducer
+from kafka.admin import KafkaAdminClient, NewTopic
+from kafka.errors import TopicAlreadyExistsError
+
+from util.actuator import Actuator
+from util.arguments import get_kafka_brokers, get_env_info, get_channel_topic
+
+
+class Barista:
+    """Barista continuously process input drink orders and servers hot drinks for the even order numbers and cold drink
+    for the ood orders.
+    The orders come through the `orders` input channel. The hot and cold drinks are served through either the
+    `hot.drink` or the `cold.drink` output channels.
+
+     :param info: Information about the app configuration.
+     :param kafka_brokers: Kafka brokers connection uri.
+     :param orders: Orders topic name.
+     :param hot_drinks: Hot drinks topic name.
+     :param cold_drinks: Cold drinks topic name.
+     """
+
+    def __init__(self, info, kafka_brokers, orders, hot_drinks, cold_drinks):
+
+        self.kafka_brokers = kafka_brokers
+        self.orders_topic = orders
+        self.hot_drink_topic = hot_drinks
+        self.cold_drink_topic = cold_drinks
+
+        # Serve the liveliness and readiness probes via http server in a separate thread.
+        Actuator.start(port=8080, info=info)
+
+        # Ensure the output topics exist.
+        self.__create_topics_if_missing([self.orders_topic, self.hot_drink_topic, self.cold_drink_topic])
+
+        self.consumer = KafkaConsumer(self.orders_topic, bootstrap_servers=self.kafka_brokers)
+        self.producer = KafkaProducer(bootstrap_servers=self.kafka_brokers)
+
+    def __create_topics_if_missing(self, topic_names):
+        admin_client = KafkaAdminClient(bootstrap_servers=self.kafka_brokers, client_id='test')
+        for topic in topic_names:
+            try:
+                new_topic = NewTopic(name=topic, num_partitions=1, replication_factor=1)
+                admin_client.create_topics(new_topics=[new_topic], validate_only=False)
+            except TopicAlreadyExistsError:
+                print ('Topic: {} already exists!')
+
+    def process_orders(self):
+        """
+        Continuously consumes orders form the input channel and send hot or cold drinks to the output channels.
+        The even order number stands for a hot drink request while an odd number stands for a cold drink request.
+        """
+        while True:
+            for message in self.consumer:
+                if message.value is not None:
+                    if self.is_even_order(message.value):
+                        self.producer.send(self.hot_drink_topic, b'Serve Hot drink for order:' + message.value)
+                    else:
+                        self.producer.send(self.cold_drink_topic, b'Serve Cold drink for order:' + message.value)
+
+    @staticmethod
+    def is_even_order(value):
+        return int(value[-1:]) % 2 == 0
+
+
+Barista(
+    get_env_info(),
+    get_kafka_brokers(),
+    get_channel_topic('orders'),
+    get_channel_topic('hot.drink'),
+    get_channel_topic('cold.drink')
+).process_orders()

dataflow-website/recipes/polyglot/scdf-python-app/requirements.txt

@@ -0,0 +1,3 @@
+kafka
+kafka-python
+flask

dataflow-website/recipes/polyglot/scdf-python-app/test.py

@@ -0,0 +1,11 @@
+#
+import time
+
+from util.actuator import Actuator
+from util.arguments import  get_env_info
+
+Actuator.start(9191, get_env_info())
+#
+print('OK')
+time.sleep(10000)
+print('STOPPED')

dataflow-website/recipes/polyglot/scdf-python-app/util/actuator.py

@@ -0,0 +1,56 @@
+import sys
+import threading
+
+from flask import Flask, Response
+
+
+class Actuator:
+    """Actuator is used to expose operational information about the running application, such as `health/liveliness`,
+    `info`, `env`, etc. It uses HTTP endpoints to enable us to interact with it.
+
+    The `/actuator/health` and `/actuator/info` handles the Kubernetes liveness and readiness probes requests.
+    Kubernetes expects HTTP 200 status code to consider the application live and ready.
+
+     :param port: the HTTP port used by the Actuator.
+     :param info_content: The text response to be returned by the /actuator/info endpoint.
+     """
+
+    def __init__(self, port=8080, info_content='Info'):
+        self.http_app = Actuator.__create_http_app(info_content)
+        self.port = port
+        print(info_content)
+        sys.stdout.flush()
+
+    def __run(self):
+        self.http_app.run(port=self.port, host='0.0.0.0')
+
+    @staticmethod
+    def __create_http_app(info_description):
+        app = Flask(__name__)
+        app.debug = False
+        app.use_reloader = False
+
+        @app.route('/actuator/health')
+        def health():
+            return Response('Alive', status=200)
+
+        @app.route('/actuator/info')
+        def info():
+            return Response(info_description, status=200, content_type='text/plain')
+
+        return app
+
+    @staticmethod
+    def start(port=8080, info='Info'):
+        """Starts the `Actuator` in a separate thread.
+
+        :param port: the HTTP port used by the Actuator. Defaults to 8080.
+        :param info: The text response to be returned by the /actuator/info endpoint.
+        """
+        try:
+            thread = threading.Thread(target=Actuator(port, info).__run)
+            thread.setDaemon(True)
+            thread.start()
+            print('Actuator started!')
+        except KeyboardInterrupt:
+            sys.exit(0)

dataflow-website/recipes/polyglot/scdf-python-app/util/arguments.py

@@ -0,0 +1,76 @@
+import os
+import sys
+from collections import defaultdict
+
+
+def get_cmd_arg(name):
+    """Extracts argument value by name. (@author: Chris Schaefer)
+  
+    Assumes the exec (default) spring-cloud-deployer-k8s argument passing mode.
+  
+    Args:
+      name: argument name.
+    Returns:
+      value of the requested argument.
+    """
+    d = defaultdict(list)
+    for k, v in ((k.lstrip('-'), v) for k, v in (a.split('=') for a in sys.argv[1:])):
+        d[k].append(v)
+
+    if bool(d[name]):
+        return d[name][0]
+    else:
+        return ''
+
+
+def get_stream_app_label():
+    return get_cmd_arg('spring.cloud.dataflow.stream.app.label')
+
+
+def get_stream_name():
+    return get_cmd_arg('spring.cloud.dataflow.stream.name')
+
+
+def get_channel_topic(channel_name):
+    """
+    For given channel name returns the message broker destinations (e.g. Kafka topics or RabbitMQ exchanges).
+
+    We adopt the Spring Cloud Stream using the following format:
+                   spring.cloud.stream.bindings.<channelName>.destination=<value>.
+    The <channelName> represents the name of the channel being configured (for example, input or output).
+
+    :param channel_name: logical channel name as defined in the application.
+    :return: The target destination of a channel on the bound middleware (for example, the RabbitMQ exchange or Kafka
+             topic). If the channel is bound as a consumer, it could be bound to multiple destinations, and the
+             destination names can be specified as comma-separated String values.
+    """
+    return get_cmd_arg('spring.cloud.stream.bindings.{}.destination'.format(channel_name))
+
+
+def get_kafka_brokers():
+    return os.getenv('SPRING_CLOUD_STREAM_KAFKA_BINDER_BROKERS', '')
+
+
+def get_kafka_zk_nodes():
+    return os.getenv('SPRING_CLOUD_STREAM_KAFKA_BINDER_ZK_NODES', '')
+
+
+def get_application_guid():
+    return os.getenv('SPRING_CLOUD_APPLICATION_GUID', '')
+
+
+def get_application_group():
+    return os.getenv('SPRING_CLOUD_APPLICATION_GROUP', '')
+
+
+def get_env_info():
+    props = '  stream-name={}\n  app-name={}\n  app-guid={}\n  app-group={}\n  kafka-brokers={}\n  ' \
+            'kafka-zk={}\n'.format(get_stream_name(), get_stream_app_label(), get_application_guid(),
+                                   get_application_group(), get_kafka_brokers(), get_kafka_zk_nodes())
+    channels = '  Inputs:\n    orders={}\n  Outputs: \n    hot.drink={}\n    cold.drink={}\n'.format(
+        get_channel_topic('orders'), get_channel_topic('hot.drink'), get_channel_topic('cold.drink'))
+    args = '\n   '.join(sys.argv)
+    envs = ''
+    # envs = '\n  '.join(list(map(lambda k: '{}={}'.format(k, os.environ[k]), os.environ)))
+    return 'Properties\n{0}\nChannels\n{1}\nArguments\n  {2}\n\nEnvironment\n  {3}'.format(
+        props, channels, args, envs)