philippabele / irrigation-springler Goto Github PK

The build process of kafkaProducer inside Docker is not working. Several attempts to fix this problem failed.

It seems, that this microservice has to be set up once again.

During this set up, regularly builds with Docker should be mandatory to avoid this problem for future services.

Do one or more of the following in the introduction:

• establish the context, background and/or importance of the topic
• indicate an issue, problem, or controversy in the field of study
• define the topic or key terms
• state the purpose of the essay or piece of writing
• provide an overview of the coverage and/or structure of the writing

Inform the reader:

• what the project is about
• why it is important
• how the project is organized

Create a simple Dockerfile and improve it to a Multi-Stage Build in a second step.

• https://www.baeldung.com/jackson

• www.baeldung.com/jackson-object-mapper-tutorial

Make Monitoring possible by exposing metrics

include the three services:

• kafkaproducer
• kafkastreamer
• kafkaconsumer

set up a common network with the project

• irrigation-springler-log-monitor

• start kafkaconsumer in debbuging mode
• see log > org.postgresql.util.PSQLException: FATAL: password authentication failed for user

• This section should be clear and detailed enough for another experienced person to repeat your project
• Provide a sketch of the architecture. Ideally in SVG format within the markdown file. See this blog.

• Knowledge about unixtime conversion is necessary to request data from the OpenWeatherAPI

• Update the prototype of the open weather API request

• convert Realtime > UNIX time and send request

• receive JSON, convert to POJO History, convert time to real time and print the result

• Helper to check https://www.unixtime.de/index.php

This provides a first overview of spring-kafka.

Use lombok within this project instead of generating SETTER and GETTER manually or using your IDE.

• Inform the reader about, what work has been done before. What ideas and models have already been developed.
• List the relevant literature, blogs, educational platforms and sites to highlight sources for background information of this project.

Use this tutorial as an entry point.

https://spring.io/guides/gs/consuming-rest/

Switch to a non-blocking client. See this comparison for further details.

This series of blog post describes how to set up stream processing.

This provides a first overview of spring-kafka

See following links for further details.

• Maven Surefire Plugin
• Maven Surefire Report Plugin
• Maven Fluido Skin

• remove development samples
• focus on the gist

https://openweathermap.org/api

• split History records from history topic into an intermediate hourly based precipitation topic
• create a kTable from the hourly precipitation topic and provide a daily sum up topic