[gRPC] Update the code generator for Python to produce typed handlers (#8326)

* Move `namer.h` and `idl_namer.h` to `include/codegen` so they can be reused from `grpc` dirqectory.

* [gRPC] Update the Python generator to produce typed handlers and Python stubs if requested.

* [gRPC] Document the newly added compiler flags.
22 files changed
tree: 5afd7fbd2cc844a802f3375e62383ef9d1986bfe
  1. .bazelci/
  2. .github/
  3. android/
  4. bazel/
  5. benchmarks/
  6. CMake/
  7. conan/
  8. dart/
  9. docs/
  10. examples/
  11. go/
  12. goldens/
  13. grpc/
  14. include/
  15. java/
  16. js/
  17. kotlin/
  18. lobster/
  19. lua/
  20. mjs/
  21. net/
  22. nim/
  23. php/
  24. python/
  25. reflection/
  26. rust/
  27. samples/
  28. scripts/
  29. snap/
  30. src/
  31. swift/
  32. tests/
  33. ts/
  34. .bazelignore
  35. .bazelrc
  36. .clang-format
  37. .clang-tidy
  38. .editorconfig
  39. .eslintrc.js
  40. .gitattributes
  41. .gitignore
  42. .npmrc
  43. BUILD.bazel
  44. build_defs.bzl
  45. CHANGELOG.md
  46. CMakeLists.txt
  47. composer.json
  48. conanfile.py
  50. FlatBuffers.podspec
  51. Formatters.md
  53. MODULE.bazel
  54. MODULE.bazel.lock
  55. package.json
  56. Package.swift
  57. pnpm-lock.yaml
  58. README.md
  59. SECURITY.md
  60. swift.swiftformat
  61. tsconfig.json
  62. tsconfig.mjs.json
  63. typescript.bzl

logo FlatBuffers

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FlatBuffers is a cross platform serialization library architected for maximum memory efficiency. It allows you to directly access serialized data without parsing/unpacking it first, while still having great forwards/backwards compatibility.

Quick Start

  1. Build the compiler for flatbuffers (flatc)

    Use cmake to create the build files for your platform and then perform the compliation (Linux example).

    cmake -G "Unix Makefiles"
    make -j
  2. Define your flatbuffer schema (.fbs)

    Write the schema to define the data you want to serialize. See monster.fbs for an example.

  3. Generate code for your language(s)

    Use the flatc compiler to take your schema and generate language-specific code:

    ./flatc --cpp --rust monster.fbs

    Which generates monster_generated.h and monster_generated.rs files.

  4. Serialize data

    Use the generated code, as well as the FlatBufferBuilder to construct your serialized buffer. (C++ example)

  5. Transmit/store/save Buffer

    Use your serialized buffer however you want. Send it to someone, save it for later, etc...

  6. Read the data

    Use the generated accessors to read the data from the serialized buffer.

    It doesn't need to be the same language/schema version, FlatBuffers ensures the data is readable across languages and schema versions. See the Rust example reading the data written by C++.


Go to our landing page to browse our documentation.

Supported operating systems

  • Windows
  • macOS
  • Linux
  • Android
  • And any others with a recent C++ compiler (C++ 11 and newer)

Supported programming languages

Code generation and runtime libraries for many popular languages.

  1. C
  2. C++ - snapcraft.io
  3. C# - nuget.org
  4. Dart - pub.dev
  5. Go - go.dev
  6. Java - Maven
  7. JavaScript - NPM
  8. Kotlin
  9. Lobster
  10. Lua
  11. PHP
  12. Python - PyPI
  13. Rust - crates.io
  14. Swift - swiftpackageindex
  15. TypeScript - NPM
  16. Nim


FlatBuffers does not follow traditional SemVer versioning (see rationale) but rather uses a format of the date of the release.


To contribute to this project, see CONTRIBUTING.



Please see our Security Policy for reporting vulnerabilities.


Flatbuffers is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.