Fix a bunch of broken links

emilk · emilk · commit 75ea83440ae5 · 2024-08-26T16:01:57.000+02:00
diff --git a/ARCHITECTURE.md b/ARCHITECTURE.md
@@ -27,7 +27,7 @@ The easiest way to launch the Viewer is directly from the logging API with `rr.i
 #### Web viewer
 You can try running the Viewer in a browser using `rr.serve()` in Python, or using `rerun --web-viewer mydata.rrd`.
 
-The web viewer consists of just a few small files - a thin `.html`, a `.wasm` blob, and an auto-generated `.js` bridge for the wasm. These files are served using the [`re_web_viewer_server`](https://github.com/rerun-io/rerun/tree/latest/crates/re_web_viewer_server) crate.
+The web viewer consists of just a few small files - a thin `.html`, a `.wasm` blob, and an auto-generated `.js` bridge for the wasm. These files are served using the [`re_web_viewer_server`](https://github.com/rerun-io/rerun/tree/latest/crates/viewer/re_web_viewer_server) crate.
 
 The web viewer can load `.rrd` files (just drag-drop them into the browser), or read logging data streamed over WebSockets.
 
diff --git a/crates/store/re_types_core/src/lib.rs b/crates/store/re_types_core/src/lib.rs
@@ -36,7 +36,7 @@ pub const DEFAULT_DISPLAY_DECIMALS: usize = 3;
 ///
 /// Have a look at our [Custom Data Loader] example to learn more about handwritten bundles.
 ///
-/// [IDL definitions]: https://github.com/rerun-io/rerun/tree/latest/crates/re_types/definitions/rerun
+/// [IDL definitions]: https://github.com/rerun-io/rerun/tree/latest/crates/store/re_types/definitions/rerun
 /// [Custom Data Loader]: https://github.com/rerun-io/rerun/blob/latest/examples/rust/custom_data_loader
 pub trait AsComponents {
     /// Exposes the object's contents as a set of [`ComponentBatch`]s.
diff --git a/docs/content/howto.md b/docs/content/howto.md
@@ -15,4 +15,4 @@ Guides for using Rerun in more advanced ways.
  - [Extend Rerun](howto/extend)
     - [By logging custom data](howto/extend/custom-data.md)
     - [By implementing custom visualizations (Rust only)](howto/extend/extend-ui.md)
- - [Efficiently log time series data using `send_columns`](howto/send_columns)
+ - [Efficiently log time series data using `send_columns`](howto/send_columns.md)
diff --git a/docs/content/reference/sdk-micro-batching.md b/docs/content/reference/sdk-micro-batching.md
@@ -8,7 +8,7 @@ The Rerun SDK automatically handles micro-batching in a background thread in ord
 
 The flushing is triggered by both time and space thresholds, whichever happens to trigger first.
 
-This is very similar to, and has many parallels with, the [compaction mechanism running on the datastore side](./store-compaction).
+This is very similar to, and has many parallels with, the [compaction mechanism running on the datastore side](./store-compaction.md).
 
 You can configure these thresholds using the following environment variables:
 
diff --git a/docs/content/reference/store-compaction.md b/docs/content/reference/store-compaction.md
@@ -8,7 +8,7 @@ The Rerun datastore continuously compacts data as it comes in, in order find a s
 
 The compaction is triggered by both number of rows and number of bytes thresholds, whichever happens to trigger first.
 
-This is very similar to, and has many parallels with, the [micro-batching mechanism running on the SDK side](./sdk-micro-batching).
+This is very similar to, and has many parallels with, the [micro-batching mechanism running on the SDK side](./sdk-micro-batching.md).
 
 You can configure these thresholds using the following environment variables:
 
diff --git a/examples/cpp/external_data_loader/README.md b/examples/cpp/external_data_loader/README.md
@@ -19,6 +19,6 @@ This is an example executable data-loader plugin for the Rerun Viewer.
 It will log C++ source code files as markdown documents.
 To try it out, compile it and place it in your $PATH, then open a C++ source file with Rerun (`rerun file.cpp`).
 
-Consider using the [`send_columns`](https://ref.rerun.io/docs/cpp/stable/classrerun_1_1_recording_stream.html#a4d8c152606ea11043b379b9baec2c6ae) API for data loaders that ingest time series data from a file.
+Consider using the [`send_columns`](https://ref.rerun.io/docs/cpp/stable/classrerun_1_1RecordingStream.html#ad17571d51185ce2fc2fc2f5c3070ad65) API for data loaders that ingest time series data from a file.
 This can be much more efficient that the stateful `log` API as it allows bundling
 component data over time into a single call consuming a continuous block of memory.
diff --git a/examples/rust/README.md b/examples/rust/README.md
@@ -1,6 +1,6 @@
 # Rerun Rust examples
 
-These are examples of how to use the [`rerun`](https://github.com/rerun-io/rerun/tree/latest/crates/rerun) crate.
+These are examples of how to use the [`rerun`](https://github.com/rerun-io/rerun/tree/latest/crates/top/rerun) crate.
 
 ## Running the examples
 
diff --git a/rerun_cpp/README.md b/rerun_cpp/README.md
@@ -69,7 +69,7 @@ From a build system perspective, the SDK consists of three dependencies:
   * To avoid compatibility issues across different platforms, compiler versions and C++ standard library versions
 we recommend to build the C++ SDK directly from source.
 Note that this also what happens when you follow the CMake setup in the [quickstart guide](https://www.rerun.io/docs/getting-started/quick-start/cpp).
-* [rerun_c](https://github.com/rerun-io/rerun/tree/latest/crates/rerun_c/) static libraries
+* [rerun_c](https://github.com/rerun-io/rerun/tree/latest/crates/top/rerun_c/) static libraries
   * Rerun C is a minimal C SDK and forms the bridge to the shared Rust codebase
   * Due to the rigidity of the C ABI and lack of complex standard library types in the interface,
     compatibility issues between compilers are less of a concern
@@ -143,7 +143,7 @@ target_link_libraries(<yourtarget> PRIVATE rerun_sdk)
 
 Refer to the [build instruction](https://github.com/rerun-io/rerun/tree/latest/BUILD.md) at the repo root.
 
-Keep in mind that all archetypes/components/datatypes are mostly generated by the [Rerun types builder](https://github.com/rerun-io/rerun/tree/latest/crates/re_types_builder).
+Keep in mind that all archetypes/components/datatypes are mostly generated by the [Rerun types builder](https://github.com/rerun-io/rerun/tree/latest/crates/build/re_types_builder).
 Use `pixi run codegen` to run code generation. Generally, all generated code files are part of the repository,
 so you only have to do that if you change the data definition or make changes to `_ext.cpp` files which
 extend generated types.
diff --git a/rerun_cpp/cmake_setup_in_detail.md b/rerun_cpp/cmake_setup_in_detail.md
@@ -105,7 +105,7 @@ to pick up a system-version of Arrow instead of the one you built against.
 ## RERUN_C_LIB
 Path to the static Rerun C library to link against.
 
-`rerun_c` is a static library built from a [Rust crate](https://github.com/rerun-io/rerun/tree/latest/crates/rerun_c).
+`rerun_c` is a static library built from a [Rust crate](https://github.com/rerun-io/rerun/tree/latest/crates/top/rerun_c).
 It provides a minimalistic C interface that encapsulates the shared building blocks of all Rerun SDKs.
 
 By default points to where a pre-built library for the currently active platform
diff --git a/scripts/lint.py b/scripts/lint.py
@@ -1179,7 +1179,7 @@ def main() -> None:
         "./.github/workflows/reusable_checks.yml",  # zombie TODO hunting job
         "./.pytest_cache",
         "./CODE_STYLE.md",
-        "./crates/re_types_builder/src/reflection.rs",  # auto-generated
+        "./crates/build/re_types_builder/src/reflection.rs",  # auto-generated
         "./docs/content/reference/cli.md",  # auto-generated
         "./examples/assets",
         "./examples/python/detect_and_track_objects/cache/version.txt",
