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[Mica Withington]

But I got netflix running on my newly imaged Vero, just last week. So I know it works, just have to figure out which system package is missing. My guess is that this will be solved with a quick, shell session.

you say kodi using using matrix repo on the nexus build. where does the address of the matrix repo reside in kodi as it may be an error as I cannot connect to the kodi repo. Not sure kodi repo was in repo list until I loaded netflix repo.

This is just as I unmderstood it, since I can clearly see addon.signals in matrix, but i got it installed in nexus, by automation. When I installed Netflix, last week, just before the weekend. On my freshly imaged Vero. No issue.

just for info I install netflix a week or 2 ago and basically working but reinstalled due to buffering issues. (worked out today my new pi4 not as sensitive as my pi3 on wifi) Waited to weekend to reinstall. Move pi4 to same room as router to fix wifi and now persistant dependency issues. Was wondering if kodi.addon site down. Note sure what to ping yet.

Only thing I did differently was delete everything relating to osmc from my desktop downloads folder as I had multiple copies of the osmc loader app and I may have kept using old downloaded loaders instead of the 4th and 5th iterations that I had downloaded in recent days. Everything clean worked fine.

Nebula helps engineers remove boilerplate in Gradle build files, and makes building software the Netflix way easy. This reduces the cognitive load on developers, allowing them to focus on writing code.

Nebula is a collection of Gradle plugins built for Netflix engineers to eliminate boilerplate build logic and provide sane conventions. We chose Gradle for our underlying build system because we feel Gradle is the best build tool for Java applications.

Using the same addon/plugin as grael, it is working at 1080p, no overclocking with passive cooling only.

However, there are bugs here and there, so sometimes it doesn't work for a day or two....

More Info on the plugin
Netflix Add-on [input-stream]

I ended up setting up a japanese language profile within netflix and then using the /browse/audio and selecting japanese (which is available only if you have a japanese language setting on the profile) to find native and dubs. This may help others with the same issue.

Alternatively, you can set up classpath dependencies in your buildscript:buildscript dependencies classpath 'com.netflix.graphql.dgs.codegen:graphql-dgs-codegen-gradle:[REPLACE_WITH_CODEGEN_PLUGIN_VERSION]' apply plugin: 'com.netflix.dgs.codegen'

Gradle's plugin system uses a flat classpath for all plugins, which makes it very easy to run into classpath conflicts.One of the dependencies of the Codegen plugin is ANTLR, which is unfortuanatly used by some other plugins as well.If you see an error such as Could not initialize class graphql.parser.antlr.GraphqlLexer this typically indicates a classpath conflict.If this happens, please change the ordering of the plugins in your build script.ANTLR is typically backwards, but not forwards, compatible.

You can also specify external dependencies containing schemas to use for generation by declaring it as a dependency in the dgsCodegen configuration.The plugin will scan all .graphql and .graphqls files under META-INF folders and generate those classes under the build/generated directory.This is useful if you have external dependencies containing some shared types that you want to add to your schema for code generation. Not that this does NOT affect your project's schema, and is only for code generation.

When you have existing classes that you want to use instead of generating a class for a certain type, you can configure the plugin to do so using a typeMapping.The typeMapping configuration is a Map where each key is a GraphQL type and each value is a fully qualified Java/Kotlin type.

The code generator can also create client API classes.You can use these classes to query data from a GraphQL endpoint using Java, or in unit tests using the QueryExecutor.The Java GraphQL Client is useful for server-to-server communication.A GraphQL Java Client is available as part of the framework.

Code generation creates a field-nameGraphQLQuery for each Query and Mutation field.The *GraphQLQuery query class contains fields for each parameter of the field.For each type returned by a Query or Mutation, code generation creates a *ProjectionRoot.A projection is a builder class that specifies which fields get returned.

This API was generated based on the following schema.The edges and node types are because the schema uses pagination.The API allows for a fluent style of writing queries, with almost the same feel of writing the query as a String, but with the added benefit of code completion and type safety.

The newer version relies on the use of generics and solves:1) Not being able to handle cycles in the schema, and2) Not being able to generate on larger schemas due to too many classes getting generated and out of memory errors. We only generate one class per type in the new implementation.

Generating a Query API like above is very useful for testing your own DGS.The same type of API can also be useful when interacting with another GraphQL service, where your code is a client of that service.This is typically done using the DGS Client.

When you use code generation both for your own schema, and an internal schema, you might want different code generation configuration for both.The recommendation is to create a separate module in your project containing the schema of the external service and the codegen configuration to just generate a Query API.The following is example configuration that only generates a Query API.

If your schema is large or has a lot of cycles, it is not ideal to generate client APIs for the entire schema, since you will end up with a large number of projections.This can cause code generation to slow down significantly, or run out of memory depending on your schema.We have a few configuration parameters that help tune this so you can limit the generation of client API to only what is required.

generateJava ... generateClientv2 = true skipEntityQueries = true includeQueries = ["hello"] includeMutations = [""] includeSubscriptions = [""] maxProjectionDepth = 2Firstly, you can specify exactly which queries/mutation/subscriptions to generate for via includeQueries, includeMutations, and includeSubscriptions.skipEntityQueries is only used if you are constructing federated _entities queries for testing purposes, so you can also set that to restrict the amount of generated code.Finally, maxProjectionDepth will instruct codegen to stop generating beyond 2 levels of the graph from the query root.The default is 10.This will help further limit the number of projections as well.

This feature provides the ability to support any custom annotation on the generated POJOs using the @annotate directive in graphQL.The @annotate directive can be placed on type, input or fields in the graphQL. This feature is turned off by default and can be enabled by setting generateCustomAnnotation to true in build.gradle.

I am using my RaspberryPi 3 for a wile now. I've looked all over the internets if there is any proper Netflix video addon to use. However, most of the addons I came across did not work. The most promising addon was the NetfliXBMC addon. However, even after updating the Chromelauncher and disabling the Kiosk-mode it did not show anything.

There is a proper Netflix addon but it uses Kodi 17 (krypton)'s newly implemented InputStream API. However, Kodi 17 still isn't enough for running the plugin, Netflix uses DRM encryption which is only supported in the Kodi 18 nightly builds. At the time writing, OSMC is using Kodi 17 wich doesn't support this feature. My sugestion is using raspbian (or other os) and instaling a Kodi 18 nightly build (mainstream will not work). This would need more work than simply installing OSMC but you should have no problems. You can find the plugin in the github page below.

I recently updated firefox to version 73. Netflix stopped working then. When I try to start the movie I get the error F7702-1003, and at the top I see the message "the plugin has crashed". After checking the console log, I found one error "uncaught exception: Object" and a lot of warnings "unreachable code after return statement". In this situation, Netflix recommends restarting the computer, but it does nothing. I also tried to refresh firefox without result.

Ive just encountered this problem on my laptop running arch. Seems to be a glibc problem, starting from version 2.31 and not a firefox issue. Downgrading glibc to version 2.30 fixes the problem for now.

Security is a super hard concept for me to work with. It feels like keeping track of many many details and seems easy to be overwhelmed by it. Enter Security Monkey a tool that my colleague Paul introduced me to. One of the cool things about moving towards the cloud is the variety of offerings that cloud providers enable through security setting vetting. Unfortunately its super hard to keep track of all the different things. Security Monkey takes care of all that for you by monitoring different endpoints for changes and presenting json diffs of those changes using Watchers for the monitoring. Auditors to run business rules against the findings of the watchers and notifiers to alert those who need to know. It provides a unified places to obtain and vet changes in cloud environments.

Documentation writing is super hard and trying to augment other people's software is not so easy especially when its easier to do it in any old way. Digging through the documentation I found references to a couple different ways of adding a custom plugin. One using the /custom folder and two using the plugin system using entry_points in python. I did not want my changes to be part of the bigger system. Thus using entry_points would work best. There was a lot of trial and error and due to my current computer situation I did not want to bother with using docker. I ended up creating a vm in azure in order to run security monkey and develop the plugin simultaneously. Luckily the documentation provided was phenomenal. Even writing the plugin was straight forward. I ended up confusing myself because I assumed that by dropping in my folder of plugins that I would somehow be using the security.monkey namespace but ended up only using my own plugin namespace. I've never professionally worked in Python only doing my own machine learning on the side or other projects. I also learned that init.py was required for python to know that this would be part of a package to install.

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