2021-01-31 21:50:21 +01:00
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// Copyright: Ankitects Pty Ltd and contributors
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// License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
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Move away from Bazel (#2202)
(for upgrading users, please see the notes at the bottom)
Bazel brought a lot of nice things to the table, such as rebuilds based on
content changes instead of modification times, caching of build products,
detection of incorrect build rules via a sandbox, and so on. Rewriting the build
in Bazel was also an opportunity to improve on the Makefile-based build we had
prior, which was pretty poor: most dependencies were external or not pinned, and
the build graph was poorly defined and mostly serialized. It was not uncommon
for fresh checkouts to fail due to floating dependencies, or for things to break
when trying to switch to an older commit.
For day-to-day development, I think Bazel served us reasonably well - we could
generally switch between branches while being confident that builds would be
correct and reasonably fast, and not require full rebuilds (except on Windows,
where the lack of a sandbox and the TS rules would cause build breakages when TS
files were renamed/removed).
Bazel achieves that reliability by defining rules for each programming language
that define how source files should be turned into outputs. For the rules to
work with Bazel's sandboxing approach, they often have to reimplement or
partially bypass the standard tools that each programming language provides. The
Rust rules call Rust's compiler directly for example, instead of using Cargo,
and the Python rules extract each PyPi package into a separate folder that gets
added to sys.path.
These separate language rules allow proper declaration of inputs and outputs,
and offer some advantages such as caching of build products and fine-grained
dependency installation. But they also bring some downsides:
- The rules don't always support use-cases/platforms that the standard language
tools do, meaning they need to be patched to be used. I've had to contribute a
number of patches to the Rust, Python and JS rules to unblock various issues.
- The dependencies we use with each language sometimes make assumptions that do
not hold in Bazel, meaning they either need to be pinned or patched, or the
language rules need to be adjusted to accommodate them.
I was hopeful that after the initial setup work, things would be relatively
smooth-sailing. Unfortunately, that has not proved to be the case. Things
frequently broke when dependencies or the language rules were updated, and I
began to get frustrated at the amount of Anki development time I was instead
spending on build system upkeep. It's now about 2 years since switching to
Bazel, and I think it's time to cut losses, and switch to something else that's
a better fit.
The new build system is based on a small build tool called Ninja, and some
custom Rust code in build/. This means that to build Anki, Bazel is no longer
required, but Ninja and Rust need to be installed on your system. Python and
Node toolchains are automatically downloaded like in Bazel.
This new build system should result in faster builds in some cases:
- Because we're using cargo to build now, Rust builds are able to take advantage
of pipelining and incremental debug builds, which we didn't have with Bazel.
It's also easier to override the default linker on Linux/macOS, which can
further improve speeds.
- External Rust crates are now built with opt=1, which improves performance
of debug builds.
- Esbuild is now used to transpile TypeScript, instead of invoking the TypeScript
compiler. This results in faster builds, by deferring typechecking to test/check
time, and by allowing more work to happen in parallel.
As an example of the differences, when testing with the mold linker on Linux,
adding a new message to tags.proto (which triggers a recompile of the bulk of
the Rust and TypeScript code) results in a compile that goes from about 22s on
Bazel to about 7s in the new system. With the standard linker, it's about 9s.
Some other changes of note:
- Our Rust workspace now uses cargo-hakari to ensure all packages agree on
available features, preventing unnecessary rebuilds.
- pylib/anki is now a PEP420 implicit namespace, avoiding the need to merge
source files and generated files into a single folder for running. By telling
VSCode about the extra search path, code completion now works with generated
files without needing to symlink them into the source folder.
- qt/aqt can't use PEP420 as it's difficult to get rid of aqt/__init__.py.
Instead, the generated files are now placed in a separate _aqt package that's
added to the path.
- ts/lib is now exposed as @tslib, so the source code and generated code can be
provided under the same namespace without a merging step.
- MyPy and PyLint are now invoked once for the entire codebase.
- dprint will be used to format TypeScript/json files in the future instead of
the slower prettier (currently turned off to avoid causing conflicts). It can
automatically defer to prettier when formatting Svelte files.
- svelte-check is now used for typechecking our Svelte code, which revealed a
few typing issues that went undetected with the old system.
- The Jest unit tests now work on Windows as well.
If you're upgrading from Bazel, updated usage instructions are in docs/development.md and docs/build.md. A summary of the changes:
- please remove node_modules and .bazel
- install rustup (https://rustup.rs/)
- install rsync if not already installed (on windows, use pacman - see docs/windows.md)
- install Ninja (unzip from https://github.com/ninja-build/ninja/releases/tag/v1.11.1 and
place on your path, or from your distro/homebrew if it's 1.10+)
- update .vscode/settings.json from .vscode.dist
2022-11-27 06:24:20 +01:00
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use std::{env, fmt::Write, path::PathBuf};
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2020-11-01 05:26:58 +01:00
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struct CustomGenerator {}
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fn write_method_trait(buf: &mut String, service: &prost_build::Service) {
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buf.push_str(
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r#"
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2021-03-11 05:33:57 +01:00
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pub trait Service {
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fn run_method(&self, method: u32, input: &[u8]) -> Result<Vec<u8>> {
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2020-11-01 05:26:58 +01:00
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match method {
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"#,
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);
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for (idx, method) in service.methods.iter().enumerate() {
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write!(
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buf,
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concat!(" ",
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refactor protobuf handling for split/import
In order to split backend.proto into a more manageable size, the protobuf
handling needed to be updated. This took more time than I would have
liked, as each language handles protobuf differently:
- The Python Protobuf code ignores "package" directives, and relies
solely on how the files are laid out on disk. While it would have been
nice to keep the generated files in a private subpackage, Protobuf gets
confused if the files are located in a location that does not match
their original .proto layout, so the old approach of storing them in
_backend/ will not work. They now clutter up pylib/anki instead. I'm
rather annoyed by that, but alternatives seem to be having to add an extra
level to the Protobuf path, making the other languages suffer, or trying
to hack around the issue by munging sys.modules.
- Protobufjs fails to expose packages if they don't start with a capital
letter, despite the fact that lowercase packages are the norm in most
languages :-( This required a patch to fix.
- Rust was the easiest, as Prost is relatively straightforward compared
to Google's tools.
The Protobuf files are now stored in /proto/anki, with a separate package
for each file. I've split backend.proto into a few files as a test, but
the majority of that work is still to come.
The Python Protobuf building is a bit of a hack at the moment, hard-coding
"proto" as the top level folder, but it seems to get the job done for now.
Also changed the workspace name, as there seems to be a number of Bazel
repos moving away from the more awkward reverse DNS naming style.
2021-07-10 09:50:18 +02:00
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"{idx} => {{ let input = super::{input_type}::decode(input)?;\n",
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2020-11-01 05:26:58 +01:00
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"let output = self.{rust_method}(input)?;\n",
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"let mut out_bytes = Vec::new(); output.encode(&mut out_bytes)?; Ok(out_bytes) }}, "),
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2021-03-11 07:53:36 +01:00
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idx = idx,
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2020-11-01 05:26:58 +01:00
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input_type = method.input_type,
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rust_method = method.name
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)
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.unwrap();
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}
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buf.push_str(
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r#"
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2022-10-21 10:02:12 +02:00
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_ => crate::invalid_input!("invalid command"),
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2020-11-01 05:26:58 +01:00
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}
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}
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"#,
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);
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for method in &service.methods {
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write!(
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buf,
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concat!(
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refactor protobuf handling for split/import
In order to split backend.proto into a more manageable size, the protobuf
handling needed to be updated. This took more time than I would have
liked, as each language handles protobuf differently:
- The Python Protobuf code ignores "package" directives, and relies
solely on how the files are laid out on disk. While it would have been
nice to keep the generated files in a private subpackage, Protobuf gets
confused if the files are located in a location that does not match
their original .proto layout, so the old approach of storing them in
_backend/ will not work. They now clutter up pylib/anki instead. I'm
rather annoyed by that, but alternatives seem to be having to add an extra
level to the Protobuf path, making the other languages suffer, or trying
to hack around the issue by munging sys.modules.
- Protobufjs fails to expose packages if they don't start with a capital
letter, despite the fact that lowercase packages are the norm in most
languages :-( This required a patch to fix.
- Rust was the easiest, as Prost is relatively straightforward compared
to Google's tools.
The Protobuf files are now stored in /proto/anki, with a separate package
for each file. I've split backend.proto into a few files as a test, but
the majority of that work is still to come.
The Python Protobuf building is a bit of a hack at the moment, hard-coding
"proto" as the top level folder, but it seems to get the job done for now.
Also changed the workspace name, as there seems to be a number of Bazel
repos moving away from the more awkward reverse DNS naming style.
2021-07-10 09:50:18 +02:00
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" fn {method_name}(&self, input: super::{input_type}) -> ",
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"Result<super::{output_type}>;\n"
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2020-11-01 05:26:58 +01:00
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),
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method_name = method.name,
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input_type = method.input_type,
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output_type = method.output_type
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)
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.unwrap();
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}
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buf.push_str("}\n");
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}
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impl prost_build::ServiceGenerator for CustomGenerator {
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fn generate(&mut self, service: prost_build::Service, buf: &mut String) {
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2021-03-11 05:33:57 +01:00
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write!(
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buf,
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2021-03-11 06:47:31 +01:00
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"pub mod {name}_service {{
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2021-03-11 05:33:57 +01:00
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use prost::Message;
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2021-04-01 08:06:24 +02:00
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use crate::error::Result;
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2021-03-11 05:33:57 +01:00
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",
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name = service.name.replace("Service", "").to_ascii_lowercase()
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)
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.unwrap();
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2020-11-01 05:26:58 +01:00
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write_method_trait(buf, &service);
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2021-03-11 05:33:57 +01:00
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buf.push('}');
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2020-11-01 05:26:58 +01:00
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}
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}
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fn service_generator() -> Box<dyn prost_build::ServiceGenerator> {
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Box::new(CustomGenerator {})
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}
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pub fn write_backend_proto_rs() {
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2022-10-17 01:57:36 +02:00
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maybe_add_protobuf_to_path();
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Move away from Bazel (#2202)
(for upgrading users, please see the notes at the bottom)
Bazel brought a lot of nice things to the table, such as rebuilds based on
content changes instead of modification times, caching of build products,
detection of incorrect build rules via a sandbox, and so on. Rewriting the build
in Bazel was also an opportunity to improve on the Makefile-based build we had
prior, which was pretty poor: most dependencies were external or not pinned, and
the build graph was poorly defined and mostly serialized. It was not uncommon
for fresh checkouts to fail due to floating dependencies, or for things to break
when trying to switch to an older commit.
For day-to-day development, I think Bazel served us reasonably well - we could
generally switch between branches while being confident that builds would be
correct and reasonably fast, and not require full rebuilds (except on Windows,
where the lack of a sandbox and the TS rules would cause build breakages when TS
files were renamed/removed).
Bazel achieves that reliability by defining rules for each programming language
that define how source files should be turned into outputs. For the rules to
work with Bazel's sandboxing approach, they often have to reimplement or
partially bypass the standard tools that each programming language provides. The
Rust rules call Rust's compiler directly for example, instead of using Cargo,
and the Python rules extract each PyPi package into a separate folder that gets
added to sys.path.
These separate language rules allow proper declaration of inputs and outputs,
and offer some advantages such as caching of build products and fine-grained
dependency installation. But they also bring some downsides:
- The rules don't always support use-cases/platforms that the standard language
tools do, meaning they need to be patched to be used. I've had to contribute a
number of patches to the Rust, Python and JS rules to unblock various issues.
- The dependencies we use with each language sometimes make assumptions that do
not hold in Bazel, meaning they either need to be pinned or patched, or the
language rules need to be adjusted to accommodate them.
I was hopeful that after the initial setup work, things would be relatively
smooth-sailing. Unfortunately, that has not proved to be the case. Things
frequently broke when dependencies or the language rules were updated, and I
began to get frustrated at the amount of Anki development time I was instead
spending on build system upkeep. It's now about 2 years since switching to
Bazel, and I think it's time to cut losses, and switch to something else that's
a better fit.
The new build system is based on a small build tool called Ninja, and some
custom Rust code in build/. This means that to build Anki, Bazel is no longer
required, but Ninja and Rust need to be installed on your system. Python and
Node toolchains are automatically downloaded like in Bazel.
This new build system should result in faster builds in some cases:
- Because we're using cargo to build now, Rust builds are able to take advantage
of pipelining and incremental debug builds, which we didn't have with Bazel.
It's also easier to override the default linker on Linux/macOS, which can
further improve speeds.
- External Rust crates are now built with opt=1, which improves performance
of debug builds.
- Esbuild is now used to transpile TypeScript, instead of invoking the TypeScript
compiler. This results in faster builds, by deferring typechecking to test/check
time, and by allowing more work to happen in parallel.
As an example of the differences, when testing with the mold linker on Linux,
adding a new message to tags.proto (which triggers a recompile of the bulk of
the Rust and TypeScript code) results in a compile that goes from about 22s on
Bazel to about 7s in the new system. With the standard linker, it's about 9s.
Some other changes of note:
- Our Rust workspace now uses cargo-hakari to ensure all packages agree on
available features, preventing unnecessary rebuilds.
- pylib/anki is now a PEP420 implicit namespace, avoiding the need to merge
source files and generated files into a single folder for running. By telling
VSCode about the extra search path, code completion now works with generated
files without needing to symlink them into the source folder.
- qt/aqt can't use PEP420 as it's difficult to get rid of aqt/__init__.py.
Instead, the generated files are now placed in a separate _aqt package that's
added to the path.
- ts/lib is now exposed as @tslib, so the source code and generated code can be
provided under the same namespace without a merging step.
- MyPy and PyLint are now invoked once for the entire codebase.
- dprint will be used to format TypeScript/json files in the future instead of
the slower prettier (currently turned off to avoid causing conflicts). It can
automatically defer to prettier when formatting Svelte files.
- svelte-check is now used for typechecking our Svelte code, which revealed a
few typing issues that went undetected with the old system.
- The Jest unit tests now work on Windows as well.
If you're upgrading from Bazel, updated usage instructions are in docs/development.md and docs/build.md. A summary of the changes:
- please remove node_modules and .bazel
- install rustup (https://rustup.rs/)
- install rsync if not already installed (on windows, use pacman - see docs/windows.md)
- install Ninja (unzip from https://github.com/ninja-build/ninja/releases/tag/v1.11.1 and
place on your path, or from your distro/homebrew if it's 1.10+)
- update .vscode/settings.json from .vscode.dist
2022-11-27 06:24:20 +01:00
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let proto_dir = PathBuf::from("../proto");
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refactor protobuf handling for split/import
In order to split backend.proto into a more manageable size, the protobuf
handling needed to be updated. This took more time than I would have
liked, as each language handles protobuf differently:
- The Python Protobuf code ignores "package" directives, and relies
solely on how the files are laid out on disk. While it would have been
nice to keep the generated files in a private subpackage, Protobuf gets
confused if the files are located in a location that does not match
their original .proto layout, so the old approach of storing them in
_backend/ will not work. They now clutter up pylib/anki instead. I'm
rather annoyed by that, but alternatives seem to be having to add an extra
level to the Protobuf path, making the other languages suffer, or trying
to hack around the issue by munging sys.modules.
- Protobufjs fails to expose packages if they don't start with a capital
letter, despite the fact that lowercase packages are the norm in most
languages :-( This required a patch to fix.
- Rust was the easiest, as Prost is relatively straightforward compared
to Google's tools.
The Protobuf files are now stored in /proto/anki, with a separate package
for each file. I've split backend.proto into a few files as a test, but
the majority of that work is still to come.
The Python Protobuf building is a bit of a hack at the moment, hard-coding
"proto" as the top level folder, but it seems to get the job done for now.
Also changed the workspace name, as there seems to be a number of Bazel
repos moving away from the more awkward reverse DNS naming style.
2021-07-10 09:50:18 +02:00
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let subfolders = &["anki"];
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let mut paths = vec![];
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for subfolder in subfolders {
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for entry in proto_dir.join(subfolder).read_dir().unwrap() {
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let entry = entry.unwrap();
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let path = entry.path();
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if path
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.file_name()
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.unwrap()
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.to_str()
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.unwrap()
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.ends_with(".proto")
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{
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println!("cargo:rerun-if-changed={}", path.to_str().unwrap());
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paths.push(path);
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}
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}
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2020-11-24 09:51:19 +01:00
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}
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2020-11-01 05:26:58 +01:00
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2021-07-12 08:15:38 +02:00
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let out_dir = PathBuf::from(env::var("OUT_DIR").unwrap());
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2020-11-01 05:26:58 +01:00
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let mut config = prost_build::Config::new();
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config
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.out_dir(&out_dir)
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.service_generator(service_generator())
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2021-04-01 15:50:16 +02:00
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.type_attribute(
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2021-04-04 13:15:30 +02:00
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"Deck.Filtered.SearchTerm.Order",
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2021-04-01 15:50:16 +02:00
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"#[derive(strum::EnumIter)]",
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)
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2022-07-19 10:27:25 +02:00
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.type_attribute(
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"Deck.Normal.DayLimit",
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2022-11-09 03:36:23 +01:00
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"#[derive(Copy, Eq, serde_derive::Deserialize, serde_derive::Serialize)]",
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2022-07-19 10:27:25 +02:00
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)
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2022-01-20 05:25:22 +01:00
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.type_attribute("HelpPageLinkRequest.HelpPage", "#[derive(strum::EnumIter)]")
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2022-06-01 12:26:16 +02:00
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.type_attribute("CsvMetadata.Delimiter", "#[derive(strum::EnumIter)]")
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Backups (#1685)
* Add zstd dep
* Implement backend backup with zstd
* Implement backup thinning
* Write backup meta
* Use new file ending anki21b
* Asynchronously backup on collection close in Rust
* Revert "Add zstd dep"
This reverts commit 3fcb2141d2be15f907269d13275c41971431385c.
* Add zstd again
* Take backup col path from col struct
* Fix formatting
* Implement backup restoring on backend
* Normalize restored media file names
* Refactor `extract_legacy_data()`
A bit cumbersome due to borrowing rules.
* Refactor
* Make thinning calendar-based and gradual
* Consider last kept backups of previous stages
* Import full apkgs and colpkgs with backend
* Expose new backup settings
* Test `BackupThinner` and make it deterministic
* Mark backup_path when closing optional
* Delete leaky timer
* Add progress updates for restoring media
* Write restored collection to tempfile first
* Do collection compression in the background thread
This has us currently storing an uncompressed and compressed copy of
the collection in memory (not ideal), but means the collection can be
closed without waiting for compression to complete. On a large collection,
this takes a close and reopen from about 0.55s to about 0.07s. The old
backup code for comparison: about 0.35s for compression off, about
8.5s for zip compression.
* Use multithreading in zstd compression
On my system, this reduces the compression time of a large collection
from about 0.55s to 0.08s.
* Stream compressed collection data into zip file
* Tweak backup explanation
+ Fix incorrect tab order for ignore accents option
* Decouple restoring backup and full import
In the first case, no profile is opened, unless the new collection
succeeds to load.
In the second case, either the old collection is reloaded or the new one
is loaded.
* Fix number gap in Progress message
* Don't revert backup when media fails but report it
* Tweak error flow
* Remove native BackupLimits enum
* Fix type annotation
* Add thinning test for whole year
* Satisfy linter
* Await async backup to finish
* Move restart disclaimer out of backup tab
Should be visible regardless of the current tab.
* Write restored collection in chunks
* Refactor
* Write media in chunks and refactor
* Log error if removing file fails
* join_backup_task -> await_backup_completion
* Refactor backup.rs
* Refactor backup meta and collection extraction
* Fix wrong error being returned
* Call sync_all() on new collection
* Add ImportError
* Store logger in Backend, instead of creating one on demand
init_backend() accepts a Logger rather than a log file, to allow other
callers to customize the logger if they wish.
In the future we may want to explore using the tracing crate as an
alternative; it's a bit more ergonomic, as a logger doesn't need to be
passed around, and it plays more nicely with async code.
* Sync file contents prior to rename; sync folder after rename.
* Limit backup creation to once per 30 min
* Use zstd::stream::copy_decode
* Make importing abortable
* Don't revert if backup media is aborted
* Set throttle implicitly
* Change force flag to minimum_backup_interval
* Don't attempt to open folders on Windows
* Join last backup thread before starting new one
Also refactor.
* Disable auto sync and backup when restoring again
* Force backup on full download
* Include the reason why a media file import failed, and the file path
- Introduce a FileIoError that contains a string representation of
the underlying I/O error, and an associated path. There are a few
places in the code where we're currently manually including the filename
in a custom error message, and this is a step towards a more consistent
approach (but we may be better served with a more general approach in
the future similar to Anyhow's .context())
- Move the error message into importing.ftl, as it's a bit neater
when error messages live in the same file as the rest of the messages
associated with some functionality.
* Fix importing of media files
* Minor wording tweaks
* Save an allocation
I18n strings with replacements are already strings, so we can skip the
extra allocation. Not that it matters here at all.
* Terminate import if file missing from archive
If a third-party tool is creating invalid archives, the user should know
about it. This should be rare, so I did not attempt to make it
translatable.
* Skip multithreaded compression on small collections
Co-authored-by: Damien Elmes <gpg@ankiweb.net>
2022-03-07 06:11:31 +01:00
|
|
|
.type_attribute(
|
Backup improvements (#1728)
* Collection needs to be closed prior to backup even when not downgrading
* Backups -> BackupLimits
* Some improvements to backup_task
- backup_inner now returns the error instead of logging it, so that
the frontend can discover the issue when they await a backup (or create
another one)
- start_backup() was acquiring backup_task twice, and if another thread
started a backup between the two locks, the task could have been accidentally
overwritten without awaiting it
* Backups no longer require a collection close
- Instead of closing the collection, we ensure there is no active
transaction, and flush the WAL to disk. This means the undo history
is no longer lost on backup, which will be particularly useful if we
add a periodic backup in the future.
- Because a close is no longer required, backups are now achieved with
a separate command, instead of being included in CloseCollection().
- Full sync no longer requires an extra close+reopen step, and we now
wait for the backup to complete before proceeding.
- Create a backup before 'check db'
* Add File>Create Backup
https://forums.ankiweb.net/t/anki-mac-os-no-backup-on-sync/6157
* Defer checkpoint until we know we need it
When running periodic backups on a timer, we don't want to be fsync()ing
unnecessarily.
* Skip backup if modification time has not changed
We don't want the user leaving Anki open overnight, and coming back
to lots of identical backups.
* Periodic backups
Creates an automatic backup every 30 minutes if the collection has been
modified.
If there's a legacy checkpoint active, tries again 5 minutes later.
* Switch to a user-configurable backup duration
CreateBackup() now uses a simple force argument to determine whether
the user's limits should be respected or not, and only potentially
destructive ops (full download, check DB) override the user's configured
limit.
I considered having a separate limit for collection close and automatic
backups (eg keeping the previous 5 minute limit for collection close),
but that had two downsides:
- When the user closes their collection at the end of the day, they'd
get a recent backup. When they open the collection the next day, it
would get backed up again within 5 minutes, even though not much had
changed.
- Multiple limits are harder to communicate to users in the UI
Some remaining decisions I wasn't 100% sure about:
- If force is true but the collection has not been modified, the backup
will be skipped. If the user manually deleted their backups without
closing Anki, they wouldn't get a new one if the mtime hadn't changed.
- Force takes preference over the configured backup interval - should
we be ignored the user here, or take no backups at all?
Did a sneaky edit of the existing ftl string, as it hasn't been live
long.
* Move maybe_backup() into Collection
* Use a single method for manual and periodic backups
When manually creating a backup via the File menu, we no longer make
the user wait until the backup completes. As we continue waiting for
the backup in the background, if any errors occur, the user will get
notified about it fairly quickly.
* Show message to user if backup was skipped due to no changes
+ Don't incorrectly assert a backup will be created on force
* Add "automatic" to description
* Ensure we backup prior to importing colpkg if collection open
The backup doesn't happen when invoked from 'open backup' in the profile
screen, which matches Anki's previous behaviour. The user could
potentially clobber up to 30 minutes of their work if they exited to
the profile screen and restored a backup, but the alternative is we
create backups every time a backup is restored, which may happen a number
of times if the user is trying various ones. Or we could go back to a
separate throttle amount for this case, at the cost of more complexity.
* Remove the 0 special case on backup interval; minimum of 5 minutes
https://github.com/ankitects/anki/pull/1728#discussion_r830876833
2022-03-21 10:40:42 +01:00
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"Preferences.BackupLimits",
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Backups (#1685)
* Add zstd dep
* Implement backend backup with zstd
* Implement backup thinning
* Write backup meta
* Use new file ending anki21b
* Asynchronously backup on collection close in Rust
* Revert "Add zstd dep"
This reverts commit 3fcb2141d2be15f907269d13275c41971431385c.
* Add zstd again
* Take backup col path from col struct
* Fix formatting
* Implement backup restoring on backend
* Normalize restored media file names
* Refactor `extract_legacy_data()`
A bit cumbersome due to borrowing rules.
* Refactor
* Make thinning calendar-based and gradual
* Consider last kept backups of previous stages
* Import full apkgs and colpkgs with backend
* Expose new backup settings
* Test `BackupThinner` and make it deterministic
* Mark backup_path when closing optional
* Delete leaky timer
* Add progress updates for restoring media
* Write restored collection to tempfile first
* Do collection compression in the background thread
This has us currently storing an uncompressed and compressed copy of
the collection in memory (not ideal), but means the collection can be
closed without waiting for compression to complete. On a large collection,
this takes a close and reopen from about 0.55s to about 0.07s. The old
backup code for comparison: about 0.35s for compression off, about
8.5s for zip compression.
* Use multithreading in zstd compression
On my system, this reduces the compression time of a large collection
from about 0.55s to 0.08s.
* Stream compressed collection data into zip file
* Tweak backup explanation
+ Fix incorrect tab order for ignore accents option
* Decouple restoring backup and full import
In the first case, no profile is opened, unless the new collection
succeeds to load.
In the second case, either the old collection is reloaded or the new one
is loaded.
* Fix number gap in Progress message
* Don't revert backup when media fails but report it
* Tweak error flow
* Remove native BackupLimits enum
* Fix type annotation
* Add thinning test for whole year
* Satisfy linter
* Await async backup to finish
* Move restart disclaimer out of backup tab
Should be visible regardless of the current tab.
* Write restored collection in chunks
* Refactor
* Write media in chunks and refactor
* Log error if removing file fails
* join_backup_task -> await_backup_completion
* Refactor backup.rs
* Refactor backup meta and collection extraction
* Fix wrong error being returned
* Call sync_all() on new collection
* Add ImportError
* Store logger in Backend, instead of creating one on demand
init_backend() accepts a Logger rather than a log file, to allow other
callers to customize the logger if they wish.
In the future we may want to explore using the tracing crate as an
alternative; it's a bit more ergonomic, as a logger doesn't need to be
passed around, and it plays more nicely with async code.
* Sync file contents prior to rename; sync folder after rename.
* Limit backup creation to once per 30 min
* Use zstd::stream::copy_decode
* Make importing abortable
* Don't revert if backup media is aborted
* Set throttle implicitly
* Change force flag to minimum_backup_interval
* Don't attempt to open folders on Windows
* Join last backup thread before starting new one
Also refactor.
* Disable auto sync and backup when restoring again
* Force backup on full download
* Include the reason why a media file import failed, and the file path
- Introduce a FileIoError that contains a string representation of
the underlying I/O error, and an associated path. There are a few
places in the code where we're currently manually including the filename
in a custom error message, and this is a step towards a more consistent
approach (but we may be better served with a more general approach in
the future similar to Anyhow's .context())
- Move the error message into importing.ftl, as it's a bit neater
when error messages live in the same file as the rest of the messages
associated with some functionality.
* Fix importing of media files
* Minor wording tweaks
* Save an allocation
I18n strings with replacements are already strings, so we can skip the
extra allocation. Not that it matters here at all.
* Terminate import if file missing from archive
If a third-party tool is creating invalid archives, the user should know
about it. This should be rare, so I did not attempt to make it
translatable.
* Skip multithreaded compression on small collections
Co-authored-by: Damien Elmes <gpg@ankiweb.net>
2022-03-07 06:11:31 +01:00
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"#[derive(Copy, serde_derive::Deserialize, serde_derive::Serialize)]",
|
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|
|
)
|
2022-06-01 12:26:16 +02:00
|
|
|
.type_attribute(
|
2022-06-27 09:15:22 +02:00
|
|
|
"CsvMetadata.DupeResolution",
|
2022-06-01 12:26:16 +02:00
|
|
|
"#[derive(serde_derive::Deserialize, serde_derive::Serialize)]",
|
|
|
|
)
|
2021-07-12 08:15:38 +02:00
|
|
|
.compile_protos(paths.as_slice(), &[proto_dir])
|
2020-11-01 05:26:58 +01:00
|
|
|
.unwrap();
|
|
|
|
}
|
2022-10-17 01:57:36 +02:00
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|
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|
|
|
|
/// If PROTOC is not defined, and protoc is not on path, use the protoc
|
|
|
|
/// fetched by Bazel so that Rust Analyzer does not fail.
|
|
|
|
fn maybe_add_protobuf_to_path() {
|
Move away from Bazel (#2202)
(for upgrading users, please see the notes at the bottom)
Bazel brought a lot of nice things to the table, such as rebuilds based on
content changes instead of modification times, caching of build products,
detection of incorrect build rules via a sandbox, and so on. Rewriting the build
in Bazel was also an opportunity to improve on the Makefile-based build we had
prior, which was pretty poor: most dependencies were external or not pinned, and
the build graph was poorly defined and mostly serialized. It was not uncommon
for fresh checkouts to fail due to floating dependencies, or for things to break
when trying to switch to an older commit.
For day-to-day development, I think Bazel served us reasonably well - we could
generally switch between branches while being confident that builds would be
correct and reasonably fast, and not require full rebuilds (except on Windows,
where the lack of a sandbox and the TS rules would cause build breakages when TS
files were renamed/removed).
Bazel achieves that reliability by defining rules for each programming language
that define how source files should be turned into outputs. For the rules to
work with Bazel's sandboxing approach, they often have to reimplement or
partially bypass the standard tools that each programming language provides. The
Rust rules call Rust's compiler directly for example, instead of using Cargo,
and the Python rules extract each PyPi package into a separate folder that gets
added to sys.path.
These separate language rules allow proper declaration of inputs and outputs,
and offer some advantages such as caching of build products and fine-grained
dependency installation. But they also bring some downsides:
- The rules don't always support use-cases/platforms that the standard language
tools do, meaning they need to be patched to be used. I've had to contribute a
number of patches to the Rust, Python and JS rules to unblock various issues.
- The dependencies we use with each language sometimes make assumptions that do
not hold in Bazel, meaning they either need to be pinned or patched, or the
language rules need to be adjusted to accommodate them.
I was hopeful that after the initial setup work, things would be relatively
smooth-sailing. Unfortunately, that has not proved to be the case. Things
frequently broke when dependencies or the language rules were updated, and I
began to get frustrated at the amount of Anki development time I was instead
spending on build system upkeep. It's now about 2 years since switching to
Bazel, and I think it's time to cut losses, and switch to something else that's
a better fit.
The new build system is based on a small build tool called Ninja, and some
custom Rust code in build/. This means that to build Anki, Bazel is no longer
required, but Ninja and Rust need to be installed on your system. Python and
Node toolchains are automatically downloaded like in Bazel.
This new build system should result in faster builds in some cases:
- Because we're using cargo to build now, Rust builds are able to take advantage
of pipelining and incremental debug builds, which we didn't have with Bazel.
It's also easier to override the default linker on Linux/macOS, which can
further improve speeds.
- External Rust crates are now built with opt=1, which improves performance
of debug builds.
- Esbuild is now used to transpile TypeScript, instead of invoking the TypeScript
compiler. This results in faster builds, by deferring typechecking to test/check
time, and by allowing more work to happen in parallel.
As an example of the differences, when testing with the mold linker on Linux,
adding a new message to tags.proto (which triggers a recompile of the bulk of
the Rust and TypeScript code) results in a compile that goes from about 22s on
Bazel to about 7s in the new system. With the standard linker, it's about 9s.
Some other changes of note:
- Our Rust workspace now uses cargo-hakari to ensure all packages agree on
available features, preventing unnecessary rebuilds.
- pylib/anki is now a PEP420 implicit namespace, avoiding the need to merge
source files and generated files into a single folder for running. By telling
VSCode about the extra search path, code completion now works with generated
files without needing to symlink them into the source folder.
- qt/aqt can't use PEP420 as it's difficult to get rid of aqt/__init__.py.
Instead, the generated files are now placed in a separate _aqt package that's
added to the path.
- ts/lib is now exposed as @tslib, so the source code and generated code can be
provided under the same namespace without a merging step.
- MyPy and PyLint are now invoked once for the entire codebase.
- dprint will be used to format TypeScript/json files in the future instead of
the slower prettier (currently turned off to avoid causing conflicts). It can
automatically defer to prettier when formatting Svelte files.
- svelte-check is now used for typechecking our Svelte code, which revealed a
few typing issues that went undetected with the old system.
- The Jest unit tests now work on Windows as well.
If you're upgrading from Bazel, updated usage instructions are in docs/development.md and docs/build.md. A summary of the changes:
- please remove node_modules and .bazel
- install rustup (https://rustup.rs/)
- install rsync if not already installed (on windows, use pacman - see docs/windows.md)
- install Ninja (unzip from https://github.com/ninja-build/ninja/releases/tag/v1.11.1 and
place on your path, or from your distro/homebrew if it's 1.10+)
- update .vscode/settings.json from .vscode.dist
2022-11-27 06:24:20 +01:00
|
|
|
if let Ok(protoc) = env::var("PROTOC") {
|
|
|
|
if cfg!(windows) && !protoc.ends_with(".exe") {
|
|
|
|
env::set_var("PROTOC", format!("{protoc}.exe"));
|
|
|
|
}
|
2022-10-17 01:57:36 +02:00
|
|
|
}
|
|
|
|
}
|