Notes for Developers¶
Adding dependencies to a requirements file.¶
Simply add the dependencies to the relevant requirements.*.in file, and run:
./requirements/manage-deps lock requirements.*.in
DO NOT add dependencies to requirements.in.txt, general dependencies should go in requirements.base.in.
Updating dependencies in the main requirements.in file, and creating the frozen requirements.txt file.¶
requirements.in.txt contains all the dependencies specified in the requirements files, while requirements.txt contains the all the frozen dependencies.
To create this file, simply run:
This should be run after a new dependency has been added to one of the requirements files.
Upgrading frozen requirements.¶
To bump up the versions of all the packages in a frozen requirements.*.txt file, run:
Upgrading the gRPC protobuf files¶
Buildgrid’s gRPC stubs are not built as part of installation. Instead, they are precompiled and shipped with the source code. The protobufs are prone to compatibility-breaking changes, so we update them manually.
First bring the updated proto file into the source tree. For example, if updating
the remote execution proto, replace the old
with the newer one.
Then, compile the protobufs. Continuing with the
pip install grpcio grpcio-tools grpc-stubs mypy-protobuf python -m grpc_tools.protoc -Ibuildgrid/_protos/ --python_out=buildgrid/_protos --grpc_python_out=buildgrid/_protos --mypy_out=buildgrid/_protos build/bazel/remote/execution/v2/remote_execution.proto
The most important thing here is to make sure that
buildgrid/_protos is in your include path with
If all goes well, the new files should have been generated.
Modifying the database schema¶
The database models are stored in
This is the source of truth for the database schema, and this file is what needs to
be updated in order to modify the schema.
To update the schema, make any needed changes to the
models.py file. Then, you
need to generate a new revision and test the revision against a database. The easiest
way to do this is probably the postgres docker image (https://hub.docker.com/_/postgres).
Now, install alembic (with
pip install alembic) and modify
alembic.ini (the file in the root
of this repository) to point at our dockerized postgres database by editing the
Then, upgrade the database to the latest pre-revision state. Run this from the repository root.
Now, we can finally generate a new revision. Run this from the repository root.
This will generate a new revision file in
that contains the difference between your old database and the new, updated model.
Implementing a data store for the Scheduler¶
buildgrid.server.scheduler.Scheduler can be configured to use one of
multiple backends. Currently in-memory and SQL-based backends are available and
It is possible to implement a new backend, by implementing the data store interface
buildgrid.server.persistence.interface.DataStoreInterface) and adding
a class to
buildgrid/_app/settings/parser.py to allow the interface to be
The implementation is free to decide how to persist the data, as long as all of
the abstract methods of
DataStoreInterface are implemented. The implementations
are only required to exist as specified; the details are left up to the author.
This allows implementations to make unneccessary methods do nothing for example,
as long as the expected data type is returned. There may be nothing to do for
enabling/disabling monitoring for some implementations for example.
Backend implementations are also required to implement some way of triggering
the events that are used when streaming updates to clients. These are instances
notify_change should be used to
indicate an update message should be sent, and
notify_stop should be used to
indicate that the thread handling the stream should check whether the client
is connected, and stop if not. Implementations should only really need to use
notify_change, as the disconnect logic is in the
Both existing implementations start a thread which periodically checks the
state of the data for jobs that are being watched and compares it with the
previous state. If it detects a change, then it calls
the relevant event, which is stored in the
buildgrid.utils.JobWatchSpec for the affected job, which is in
self.watched_jobs dictionary. Adding/removing entries from
this dictionary is handled by the
DataStoreInterface class, so doesn’t
need to be a concern for implementations.
The class to parse a YAML tag to allow the data store implementation to be
configured should inherit from
YamlFactory and have a
which returns an instance of the implementation. There are no other limitations
on what it should and shouldn’t do. In order to allow the parser to understand
the tag, the
get_parser function at the bottom of
parser.py should also
be modified to add a constructor for the new tag.