The Ada Language Server depends on a number of tools and libraries listed on the main page.
The ALS repository includes a template VS Code workspace at
.vscode/settings.json.tmpl
. This allows developers to instantiate the
workspace locally and customize it to their liking, in particular the
terminal.integrated.env.<os>
setting to set PATH
and GPR_PROJECT_PATH
as
needed to provided tools and dependencies to the development environment.
To instantiate the VS Code workspace, simply run make configure
. Then open VS
Code at the root of the ALS repository.
At the first run, the workspace will recommend installing a set of extensions
including a released version of the Language Support for Ada
extension which
is produced from this repository. That allows you to work with the Ada codebase
of the ALS.
To build the ALS, run:
make
One way to run the ALS is by running the VS Code extension in development mode.
You can do that using the VS Code workspace at the root of this repository and the launch configuration (vscode) Launch vscode with the Ada extension
.
You can activate traces that show all the server input/output. This is done
by creating a file $HOME/.als/traces.cfg
with the following contents:
ALS.IN=yes > inout.txt:buffer_size=0
ALS.OUT=yes > inout.txt:buffer_size=0
When this is present, the Ada Language Server will generate a file
$HOME/.als/inout.txt
which logs the input received and the output sent by
the language server.
You can also monitor the server's memory usage by adding the following lines:
>ada_ls_log.$T.txt:buffer_size=0:buffer_size=0
ALS.MAIN=yes
DEBUG.ADA_MEMORY=yes
This will create ada_ls_log.<timestamp>.txt
log files in your $HOME/.als
directory each time the Ada Language Server is run, with additional information
about memory usage, allowing to track down which parts of the program consumes
the most memory.
This is very useful to resolve unexpected memory consumption issues.
To get a symbolic backtrace you need the debug information files. For the
release you can download them from
GitHub Release
Assets. Assets contain an archive per platform with the ALS
executable and debug information files (.debug
file on Linux/Windows and
.dSYM
directory for Mac OS X). Extract the debug information to the directory
containing ALS (usually this is
$HOME/.vscode/extensions/adacore.ada-*/{darwin,linux,win32}
)
and run
addr2line ada_language_server <hex backtrace>
On Mac OX X use atos instead.
The Ada & SPARK extension for Visual Studio Code is published as minified
JavaScript code. For that reason backtraces reported are not easily readable
by humans. To alleviate that, the published .vsix includes a source map file
at out/src/extension.js.map
.
To resolve a backtrace to the original TypeScript source locations:
-
Unzip the .vsix
-
Copy the backtrace into a plain text file while preserving the error message on the first line, for example:
2024-01-11 10:11:54.191 [Ada Extension] ERROR Error while starting Ada extension... at Gu (/home/XXXXXXX/.vscode/extensions/adacore.ada-24.0.3/out/src/extension.js:75:5911) at oS (/home/XXXXXXX/.vscode/extensions/adacore.ada-24.0.3/out/src/extension.js:75:6057) at w$ (/home/XXXXXXX/.vscode/extensions/adacore.ada-24.0.3/out/src/extension.js:85:2292) at b$ (/home/XXXXXXX/.vscode/extensions/adacore.ada-24.0.3/out/src/extension.js:85:2154) ...
-
Run the following command to obtain source locations:
$ npx stacktracify out/src/extension.js.map -f trace.txt 2024-01-11 10:11:54.191 [Ada Extension] ERROR Error while starting Ada extension... at [unknown] (../../src/helpers.ts:150:56) at getEvaluatedCustomEnv (../../src/helpers.ts:186:22) at assertSupportedEnvironments (../../src/extension.ts:128:4) at activateExtension (../../src/extension.ts:118:14)
To write a functional test for Ada Language Server:
- Choose a meaninful name for your test, for instance
completion_inside_generics
. We'll refer to this as<testname>
below - Create a new directory
testsuite/ada_lsp/<testname>
containing your test data - Activate full in/out language server traces. See the Debugging section above.
- From the base directory in this repository, run:
python scripts/traces_to_test.py <testname> <path_to_the_als_traces_file>
- Delete all extra requests, notifications and capabilities that are not related to the feature being tested. It will help a lot later when tests are baselined because of changes in protocol, capablitities or message formats.
- Replace the comment at the beginning of the test with something meaningful:
"comment": [
"test automatically generated"
]
- run
make check
to run the entire testsuite - to run an individual test, go to
testsuite
and runsh run.sh ada_lsp/<testname>
(you will needhttps://github.com/AdaCore/e3-testsuite
installed to do this)
Run make vscode-test
to run the VS Code testsuite.
If you open the ALS repository in VS Code, it is also possible to run VS Code
integration tests using the Testing view.
The integration/vscode/ada/.vscode-test.mjs
contains a configuration allowing to load the tests in the Testing view.
The UI offers ways to run or debug one test, a subset of tests or all tests.
See more about the project testsuite here.
To release a new version of the VS Code extension, just put a tag with of the form
22.0.3
, where 22.0
matches the current GNAT Studio development version. The
corresponding git
command is
git checkout edge
git tag -a 22.0.3
Put release notes in the comment of the tag starting with a Release notes
header:
Release notes
* <notes 1>
* <notes 2>, etc.
Then push it to GitHub with git push 22.0.3
or git push --tags
.
The GitHub CI will publish the extension on the marketplace and the
Open VSX Registry. It also makes GitHub Release and
put archives with ALS executables and debug information files.
The repository contains the following folders:
doc/
- documentation of the project and LSP extensionsgnat/
- GNAT project filesintegration/vscode/ada/
- VS Code extension sourcesscripts/
- some support scriptsada_language_server/source/ada/
- LSP implementation for Ada languagesource/client/
- basic client interfacesource/protocol/
- LSP binding in Adasource/server/
- Common LSP server implementationsource/spawn/
- Process spawn/communication APIsource/tester/
- source of the test drivertestsuite/ada_lsp/
- test suite of LSP in form of request/responsesubprojects/
- where we store dependencies (VCS, ada_libfswatch)subprojects/stubs
- the location for "stub" versions of .gpr files, for dependencies that are optional.
You can get the latest Language Server Protocol specification from
the https://github.com/microsoft/language-server-protocol.git repository,
gh-pages
branch.
Currently, we synchronize Ada sources with LSP updates manually. The Ada source to
synchronize is the LSP.Messages
package. The specification of the package contains
TypeScript snippets from the Language Server Protocol specification in the form of
comments:
--```typescript
--interface Message {
-- jsonrpc: string;
--}
--```
You can easily extract all such snippets from the specification with the command
sed -n -e '/^```typescript/,/^```/p' specification-3-14.md |sed -e 's/^/ --/'
To extract corresponding snippets from lsp-messages.ads
use this:
sed -n -e '/^ --```typescript/,/^ --```/p' lsp-messages.ads
Unfortunately we have to reorder Ada declarations to follow "define before use"
rule. To restore original order use scripts/reorder.py
script. Then you can
compare texts with diff -u
to see what's changed.
Rules to match method name with corresponding messages are not present in the
TypeScript snippets. So we don't put requests, responses and notifications types
in then LSP.Messages
package. Instead we have 6 packages divided by message
kind and directions:
- LSP.Messages.Server_Requests - requests from the client to the server
- LSP.Messages.Server_Notifications - notifications from the client to the server
- LSP.Messages.Server_Responses - responses from the server to the client
- LSP.Messages.Client_Requests - requests from the server to the client
- LSP.Messages.Client_Notifications - notifications from the server to the client
- LSP.Messages.Client_Responses - responses from the client to the server
Server_Requests
and Server_Notifications
packages are generated by the
scripts/generate.py
script.
Each of these 6 packages defines common root type and a Visit
subprogram
to implement Visitor pattern. Corresponding visitors are defined in
packages:
- LSP.Server_Request_Receivers
- LSP.Server_Notification_Receivers
- Server_Response_Sender
- LSP.Client_Request_Receivers
- LSP.Client_Notification_Receivers
- LSP.Client_Response_Senders
The type Message_Logger
implements all of these to provide custom format
for each message kind in the trace.
The LSP server uses its-own Server_Request_Handler
interface. This
interface defines functions corresponding to client-to-server LSP requests.
Function profiles ensure correct argument and result types at compile time.
LSP.Ada_Handlers
implements Server_Request_Handler
and
Server_Notification_Receiver
interfaces to provide Ada language support.
It leverages Server
to send notification to the client.
Error_Decorator
also implements Server_Request_Handler
and
provides safety net to catch Property_Error exceptions during
request processing.
LSP Server
, on its side, converts messages to/from JSON,
tracks request Ids and implements the CancelRequest
logic.
The LSP.Ada_Documents.Document
type represents a file opened in an editor.
It keeps text of a changed file.
The LSP.Ada_Contexts.Context
type represents non-aggregate project tree
and keeps a Libadalang context to process compilation units from this tree.
Document
and Context
objects belong to Ada_Handler
.