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trohrmann pushed a commit to branch release-3.2
in repository https://gitbox.apache.org/repos/asf/flink-statefun-playground.git

commit 3d2a1e4a8865c39530ec2ac2b3a2bb2c83336d11
Author: Till Rohrmann <trohrm...@apache.org>
AuthorDate: Tue Feb 15 15:27:55 2022 +0100

    [FLINK-26158] Update python/greeter example to use playground ingress/egress
    
    This closes #26.
---
 python/greeter/README.md          | 37 +++++++++++++++++++++----------
 python/greeter/docker-compose.yml | 46 +++------------------------------------
 python/greeter/functions.py       | 13 +++++++----
 python/greeter/input-example.json |  2 --
 python/greeter/module.yaml        | 21 +++++-------------
 5 files changed, 43 insertions(+), 76 deletions(-)

diff --git a/python/greeter/README.md b/python/greeter/README.md
index 0a5aad8..14b6682 100644
--- a/python/greeter/README.md
+++ b/python/greeter/README.md
@@ -5,9 +5,7 @@ This is a simple example of a stateful functions application 
implemented in `Pyt
 In this example, we imagine a service that computes personalized greetings.
 Our service, consist out of the following components:
 
-* `kafka ingress` - This component forwards messages produced to the `names` 
kafka topic,
-to the `person` stateful function. Messages produced to this topic has the 
following
-schema `{ "name" : "bob"}`.
+* `playground ingress` - Ingestion point for messages. Messages are sent to 
the specified target function.
 
 * `person` - This function is triggered by the ingress defined above.
 This function keeps track of the number of visits, and triggers the next 
functions:
@@ -15,7 +13,7 @@ This function keeps track of the number of visits, and 
triggers the next functio
 * `greeter` - This function, computes a personalized greeting, based on the 
name and the number
 of visits of that user. The output of that computation is forward to a Kafka 
egress defined below.
 
-* `kafka egress` - This wraps a Kafka producer that emits `utf-8` greetings to 
the `greetings` Kafka topic.
+* `playground egress` - Queryable endpoint that collects the emitted greetings 
in the `greetings` topic. The greeting is `utf-8` encoded.
 
 
 ![Flow](arch.png "Flow")
@@ -23,25 +21,40 @@ of visits of that user. The output of that computation is 
forward to a Kafka egr
 ## Running the example
 
 ```
-docker-compose build
-docker-compose up
+$ docker-compose build
+$ docker-compose up
 ```
 
-To observe the customized greeting, as they appear in the `greetings` Kafka 
topic, run in a separate terminal:
+## Play around!
+
+The greeter application allows you to do the following actions:
+
+* Create a greeting for a user via sending a `GreetRequest` message to the 
`person` function
+
+In order to send messages to the Stateful Functions application you can run:
 
 ```
-docker-compose exec kafka rpk topic consume greetings
+$ curl -X PUT -H "Content-Type: application/vnd.example/GreetRequest" -d 
'{"name": "Bob"}' localhost:8090/example/person/Bob
 ```
 
-Try adding few more input lines to [input-example.json](input-example.json), 
and restart
-the producer service.
+To consume the customized greeting, as they appear in the `greetings` 
playground topic, run in a separate terminal:
 
 ```
-docker-compose restart producer
+$ curl -X GET localhost:8091/greetings
 ```
 
+### Messages
+
+The messages are expected to be encoded as JSON.
+
+* `GreetRequest`: `{"name": "Bob"}`, `name` is the id of the `person` function
+
+## What's next?
+
 Feeling curious? add the following print to the `person` function at 
[functions.py](functions.py):
-```print(f"Hello there {context.address.id}!", flush=True)```.
+```
+print(f"Hello there {context.address.id}!", flush=True)
+```
 
 Then, rebuild and restart only the `functions` service.
 
diff --git a/python/greeter/docker-compose.yml 
b/python/greeter/docker-compose.yml
index 8e4e8a3..2350ca2 100644
--- a/python/greeter/docker-compose.yml
+++ b/python/greeter/docker-compose.yml
@@ -34,52 +34,12 @@ services:
   ###############################################################
 
   statefun:
-    image: apache/flink-statefun-playground:3.2.0
+    image: apache/flink-statefun-playground:3.2.0-1.0
     ports:
       - "8081:8081"
+      - "8090:8090"
+      - "8091:8091"
     depends_on:
-      - kafka
       - functions
     volumes:
       - ./module.yaml:/module.yaml
-
-  ###############################################################
-  #    Kafka for ingress and egress
-  ###############################################################
-
-  kafka:
-    image: docker.vectorized.io/vectorized/redpanda:v21.8.1
-    command:
-      - redpanda start
-      - --smp 1
-      - --memory 512M
-      - --overprovisioned
-      - --set redpanda.default_topic_replications=1
-      - --set redpanda.auto_create_topics_enabled=true
-      - --kafka-addr INSIDE://0.0.0.0:9094,OUTSIDE://0.0.0.0:9092
-      - --advertise-kafka-addr INSIDE://kafka:9094,OUTSIDE://kafka:9092
-      - --pandaproxy-addr 0.0.0.0:8089
-      - --advertise-pandaproxy-addr kafka:8089
-    hostname: kafka
-    ports:
-      - "8089:8089"
-      - "9092:9092"
-      - "9094:9094"
-
-  ###############################################################
-  #    Simple Kafka JSON producer to simulate ingress events
-  ###############################################################
-
-  producer:
-    image: ververica/statefun-playground-producer:latest
-    depends_on:
-      - kafka
-      - statefun
-    environment:
-      APP_PATH: /mnt/input-example.json
-      APP_KAFKA_HOST: kafka:9092
-      APP_KAFKA_TOPIC: names
-      APP_JSON_PATH: name
-      APP_DELAY_SECONDS: 1
-    volumes:
-      - ./input-example.json:/mnt/input-example.json
diff --git a/python/greeter/functions.py b/python/greeter/functions.py
index 6a6f3a4..fede41d 100644
--- a/python/greeter/functions.py
+++ b/python/greeter/functions.py
@@ -24,6 +24,7 @@ from aiohttp import web
 functions = StatefulFunctions()
 
 GREET_REQUEST_TYPE = make_json_type(typename="example/GreetRequest")
+EGRESS_RECORD_TYPE = 
make_json_type(typename="io.statefun.playground/EgressRecord")
 
 @functions.bind(typename="example/person", specs=[ValueSpec(name="visits", 
type=IntType)])
 async def person(context: Context, message: Message):
@@ -54,10 +55,14 @@ async def greeter(context, message):
 
     greeting = await compute_fancy_greeting(person_name, visits)
 
-    context.send_egress(kafka_egress_message(typename="example/greets",
-                                             topic="greetings",
-                                             key=person_name,
-                                             value=greeting))
+    egress_record = {
+        "topic": "greetings",
+        "payload": greeting
+    }
+
+    
context.send_egress(egress_message_builder(target_typename="io.statefun.playground/egress",
+                                             value=egress_record,
+                                             value_type=EGRESS_RECORD_TYPE))
 
 
 async def compute_fancy_greeting(name: str, seen: int):
diff --git a/python/greeter/input-example.json 
b/python/greeter/input-example.json
deleted file mode 100644
index ad72aa8..0000000
--- a/python/greeter/input-example.json
+++ /dev/null
@@ -1,2 +0,0 @@
-{"name" : "Bob"}
-{"name" : "Joe"}
diff --git a/python/greeter/module.yaml b/python/greeter/module.yaml
index 461b17f..029cbcc 100644
--- a/python/greeter/module.yaml
+++ b/python/greeter/module.yaml
@@ -20,21 +20,12 @@ spec:
   transport:
     type: io.statefun.transports.v1/async
 ---
-kind: io.statefun.kafka.v1/ingress
+kind: io.statefun.playground.v1/ingress
 spec:
-  id: example/names
-  address: kafka:9092
-  consumerGroupId: my-group-id
-  topics:
-    - topic: names
-      valueType: example/GreetRequest
-      targets:
-        - example/person
+  port: 8090
 ---
-kind: io.statefun.kafka.v1/egress
+kind: io.statefun.playground.v1/egress
 spec:
-  id: example/greets
-  address: kafka:9092
-  deliverySemantic:
-    type: exactly-once
-    transactionTimeout: 15min 
+  port: 8091
+  topics:
+    - greetings

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