Skip to main content

BXL Basics

This page is a primer on common BXL functionalities and data types. Ramping up in BXL may be challenging without much prior knowledge of Buck2 building blocks (ex: targets, configurations, queries), so please take a look at the Concepts documentation before reading on.

Common BXL functionalities

Build

You can build targets within BXL with ctx.build(). The result is a bxl_build_result, which has artifacts() and failures() functions that provide iterators to the artifacts or failures, respectively. You can pass in a single target or target pattern to build.

Analysis

You can run analysis on targets within BXL via ctx.analysis(). Analysis means to evaluate the underlying rule implementation for the inputted targets, and produce the providers that the rule defined for the target. A common workflow is to inspect the resulting providers, and perhaps ensure parts of these providers or run actions using information from the providers (see Actions below).

Query

Buck2 supports a couple different query types: querying the unconfigured graph (buck2 uquery), the configured graph (buck2 cquery), or the action graph (buck2 aquery). These queries are all available in BXL as well:

You can read more about the individual queries in the API docs. There are many queries that are common between uquery, cquery, and aquery, but cquery and aquery will have extra queries unique to the configured graph or the action graph. One more thing to call out is the eval() query, which is a special query that takes in the entire query as a string literal. A common use for eval() is to migrate a complex query from Buck2 CLI to BXL by dropping the entire query string directly into eval().

The query results are target sets (iterable container) of unconfigured_target_nodes for uquery, target_nodes for cquery, and action_query_nodes for aquery. Each of these node types have accessors on their attributes. A common workflow is to run some query in BXL, and iterate through the resulting nodes to inspect their attributes, and use those attributes to inform further computations in BXL.

Uquery

Querying the unconfigured graph means that no configurations (such as platforms and transitions) have been applied to the target graph yet. This means that it's very possible that some parts of the target graph is broken due to lack of configurations. Generally to avoid this problem, cquery may be preferred instead.

Cquery

Querying the configured graph means that configurations have been applied to the target graph. For cquery, we require that users use a target universe for their query inputs.

Aquery

Aquery is a quite different from uquery and cquery. It is used to query the action graph, which is constructed after Buck2 runs analysis on the targets and produces the list of providers and actions needed to build the target.

Actions

You can create actions directly within the BXL API. The available action APIs are equivalent to the ones found on the actions type for normal rules, with the caveat that dynamic actions use the bxl_ctx (which provides richer functionalities).

A common workflow would be to run analysis on a target, and use some interesting bits found in the analysis result to construct an augmented cmd_args to run, and then ensure the action's output (see below for ensuring). Also see Running actions.

Ensure

Ensuring an artifact means that you want the artifact to be materialized (meaning, downloaded to your machine) at the end of the BXL execution. There are two APIs for ensuring: ctx.output.ensure() and ctx.output.ensure_multiple() (see bxl_output_stream). As the naming indicates, the former is for ensuring a single artifact, and the latter is for ensuring multiple artifact-like inputs. Artifact-like inputs include cmd_args (can be found when inspecting providers), bxl_build_result (produced when building something in BXL), or artifact (can be found when inspecting providers, or creating your own actions).

A common workflow is to ensure an artifact that you created via some custom actions defined in your script, or ensuring some artifacts found in the providers after running analysis. Also see What do I need to know about ensured artifacts.