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SDK for writing lookout analyzers

Project description

lookout-sdk GitHub version PyPI version Build Status GoDoc

Toolkit for writing new analyzers for source{d} Lookout.

What Does the SDK Provide?

For the complete documentation of source{d} Lookout, please take a look at https://docs.sourced.tech/lookout.

For detailed information about the different parts of Lookout, and how they interact you can go to the Lookout architecture guide.

lookout-sdk provides:

  • proto definitions.
  • pre-generated libraries for Golang and Python, offering:
    • an easy access to the DataService API though a gRPC service. Lookout will take care of dealing with Git repositories, UAST extraction, programming language detection, etc.
    • low-level helpers to work around some protobuf/gRPC caveats.
  • quickstart examples of an Analyzer that detects language and number of functions (written in Go and in Python).

Caveats

For the gRPC client and server please follow these requirements:

  • set a common maximum gRPC message size in gRPC servers and clients. This is required to avoid hitting different gRPC limits when handling UASTs, that can be huge —see grpc/grpc#7927—. To do so use the included helpers in lookout-sdk:
    • go: using pb.NewServer and pb.DialContext.
    • python: using lookout.sdk.grpc.create_channel.
  • support RFC 3986 URI scheme; lookout-sdk includes helpers for this:
    • go: using pb.ToGoGrpcAddress and pb.Listen.
    • python: using lookout.sdk.grpc.to_grpc_address.

DataService

When DataService is being dialed, you should:

  • disable secure connection:
    • go: using grpc.WithInsecure() (example).
    • python: using server.add_insecure_port(address) (example).
  • turn off gRPC fail-fast mode if your analyzer creates a connection to DataServer before it was actually started. This way the RPCs are queued until the chanel is ready:
    • go: using grpc.FailFast(false) (example).

Contributing

Contributions are welcome and very much appreciated 🙌

Please refer to our Contribution Guide for more details.

Community

source{d} has an amazing community of developers and contributors who are interested in Code As Data and/or Machine Learning on Code. Please join us! 👋

Code of Conduct

All activities under source{d} projects are governed by the source{d} code of conduct.

License

Apache License Version 2.0, see LICENSE

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