experimental-test-suite-mapper

Testing & Quality

Finds the executable test suites (e.g., `browser_tests`, `unit_tests`) responsible for compiling and executing a specific target source code file or test file in Chromium on Linux.

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How to use this skill

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Source SKILL.md: https://github.com/chromium/chromium/blob/HEAD/agents/skills/experimental-test-suite-mapper/SKILL.md

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Test Suite Mapper Skill

This skill provides a fast, reliable, and deterministic way to map a Chromium source or test file to its parent executable test suite on Linux. It uses static dependency analysis of the GN build graph.

When to Use This Skill

Use this skill when:

The target build configuration is Linux (target_os = "linux").
Triaging an underreported coverage bug on Linux and you need to identify what test suite should contain the developer's test.
Investigating a C++ or Web/WPT code change on Linux and you need to identify what tests cover those files.
Determining if a newly added test is compiled into a runnable test suite on Linux.

How to Use This Skill

Depending on what information you have, use one of the two workflows below:

Workflow A: You have a Test Name (e.g., `URLParser.PathUrl`)

If the bug description or comments explicitly mention a test name or GTest filter:

Locate the Test File: Search the codebase for the test definition using a case-insensitive search.

Example search pattern: TEST.*URLParser.*PathUrl Example resolved file: url/url_parse_unittest.cc
Map the Test File to the Suite: Determine which executable test suites compile the test file. Example using the helper tool:
```
python3 tools/code_coverage/test_suite_mapper.py url/url_parse_unittest.cc
```
Example output:
```
[
  "url_unittests"
]
```

Note: This workflow is preferred because test files are typically compiled into only one (or very few) test runner targets, avoiding proximity noise.

Workflow B: You only have a Source File / Code Area

If you only know which source file has missing coverage:

Map the Source File directly: Determine which executable test suites compile the source file. Example using the helper tool:
```
python3 tools/code_coverage/test_suite_mapper.py base/values.cc
```
Example output:
```
[
  "base_perftests",
  "base_unittests"
]
```
Interpret the Results: A path proximity filter is used to narrow down the consuming test suites. For core files (like base/), the most relevant suites in the same directory are preferred. For files in chrome/, a list of several covering suites (e.g., browser_tests, unit_tests) may be returned because they all depend on it.

Workflow C: Mapping at a Past Revision (for historical bug triage)

If you need to know the test suite mapping at the time a bug was reported, you must perform the analysis relative to that historical git revision.

To avoid checking out the past revision in your workspace, you should delegate the historical file exploration to the time-travel-code-explorer skill.

Verify File Existence: Ensure the target file actually existed at the target revision. Delegate this to the time-travel-code-explorer skill (e.g., using its view_file command to see if it exists). If it did not, the mapping is invalid.
Retrieve Historical Isolate Map: Load the active test suites list (infra/config/generated/testing/gn_isolate_map.pyl) as it existed at the target revision. Delegate this to the time-travel-code-explorer skill to retrieve the content, and save it to a temporary file.
Verify Graph Stability (Lightweight Approach): Check if any BUILD.gn files along the dependency path have been modified since the target revision. Note: The helper tool automates this check. It will print warnings if it detects changes.
Run the Mapping Tool: Run the test_suite_mapper.py tool passing the revision and the retrieved isolate map file:

# 1. Retrieve and save the historical isolate map (example path)
# (Use the time-travel-code-explorer skill to get the contents of
# 'infra/config/generated/testing/gn_isolate_map.pyl' at revision 'abc123f'
# and save it to '/tmp/gn_isolate_map.pyl')

# 2. Run the mapping tool
python3 tools/code_coverage/test_suite_mapper.py \
  --revision abc123f \
  --isolate-map-file /tmp/gn_isolate_map.pyl \
  base/values.cc

Note: If the build graph has changed and you want 100% accurate results, you can bypass the lightweight mapping and force heavyweight resolution. Heavyweight resolution does not require --isolate-map-file because it checks out a worktree and reads the map directly from the worktree disk:

python3 tools/code_coverage/test_suite_mapper.py \
  --revision abc123f \
  --force-heavyweight \
  base/values.cc

Customizing the Build Directory

By default, the build directory is assumed to be out/Default. You can specify a custom build directory (which must contain args.gn and be configured for Linux): Example using --build-dir:

python3 tools/code_coverage/test_suite_mapper.py \
  --build-dir out/coverage base/values.cc