# multi-swe-bench / tokiors__tracing2008 - taskset: [multi-swe-bench](https://harnessreport.com/tasks/multi-swe-bench.md) - difficulty: hard - category: software-development - language: - runnable from the site: no - agent timeout: 14400s ## Results by harness _none yet_ ## Instruction ``` <uploaded_files> /workspace/tracing </uploaded_files> I've uploaded a Rust code repository in the directory /workspace/tracing. Consider the following issue description: <issue_description> # Add Subscribe::event_enabled to conditionally dis/enable events based on fields <!-- Thank you for your Pull Request. Please provide a description above and review the requirements below. Bug fixes and new features should include tests. Contributors guide: https://github.com/tokio-rs/tracing/blob/master/CONTRIBUTING.md --> ## Motivation <!-- Explain the context and why you're making that change. What is the problem you're trying to solve? If a new feature is being added, describe the intended use case that feature fulfills. --> Allow filter layers to filter on the contents of events (closes #2007). ## Solution <!-- Summarize the solution and provide any necessary context needed to understand the code change. --> Add `Subscribe::event_enabled(&self, event: &Event<'_>, ctx: Context<'_, C>) -> bool;`. This is called before `Subscribe::on_event`, and if `event_enabled` returns `false`, `on_event` is not called (nor is `Collect::event`). ### Previously, this PR did `Subscribe::on_event` returns `ControlFlow`, and the `Layered` subscriber only continues to call `on_event` on `ControlFlow::Continue`. This PR exists mainly as a place for discussion of this potential solution. Looking at this diff, and given that *most* subscriber layers will want to continue and not break the layering, it might make sense to make this a new method which delegates to on_event by default. Since Layered is the primary way of layering two subscribers together, perhaps the footgun of *calling* `on_event` rather than "`filter_on_event`" would not be a big deal in practice? ## Repository Information - **Repository**: tokio-rs/tracing - **Pull Request**: #2008 - **Base Commit**: `201d21ac034f6121c4495dfa96acc18622f913e4` ## Related Issues - https://github.com/tokio-rs/tracing/issues/2007 </issue_description> Can you help me implement the necessary changes to the repository so that the requirements specified in the <issue_description> are met? I've already taken care of all changes to any of the test files described in the <issue_description>. This means you DON'T have to modify the testing logic or any of the tests in any way! Also the development Rust environment is already set up for you (i.e., all dependencies already installed), so you don't need to install other packages. Your task is to make the minimal changes to non-test files in the /workspace/tracing directory to ensure the <issue_description> is satisfied. Follow these phases to resolve the issue: Phase 1. READING: read the problem and reword it in clearer terms 1.1 If there are code or config snippets. Express in words any best practices or conventions in them. 1.2 Highlight message errors, method names, variables, file names, stack traces, and technical details. 1.3 Explain the problem in clear terms. 1.4 Enumerate the steps to reproduce the problem. 1.5 Highlight any best practices to take into account when testing and fixing the issue. Phase 2. RUNNING: install and run the tests on the repository 2.1 Follow the readme. 2.2 Install the environment and anything needed. 2.3 Iterate and figure out how to run the tests. Phase 3. EXPLORATION: find the files that are related to the problem and possible solutions 3.1 Use `grep` to search for relevant methods, classes, keywords and error messages. 3.2 Identify all files related to the problem statement. 3.3 Propose the methods and files to fix the issue and explain why. 3.4 From the possible file locations, select the most likely location to fix the issue. Phase 4. TEST CREATION: before implementing any fix, create a script to reproduce and verify the issue 4.1 Look at existing test files in the repository to understand the test format/structure. 4.2 Create a minimal reproduction script that reproduces the located issue. 4.3 Run the reproduction script with `cargo run` to confirm you are reproducing the issue. 4.4 Adjust the reproduction script as necessary. Phase 5. FIX ANALYSIS: state clearly the problem and how to fix it 5.1 State clearly what the problem is. 5.2 State clearly where the problem is located. 5.3 State clearly how the test reproduces the issue. 5.4 State clearly the best practices to take into account in the fix. 5.5 State clearly how to fix the problem. Phase 6. FIX IMPLEMENTATION: Edit the source code to implement your chosen solution. 6.1 Make minimal, focused changes to fix the issue. Phase 7. VERIFICATION: Test your implementation thoroughly. 7.1 Run your reproduction script to verify the fix works. 7.2 Add edge cases to your test script to ensure comprehensive coverage. 7.3 Run existing tests related to the modified code with `cargo test` to ensure you haven't broken anything. Phase 8. FINAL REVIEW: Carefully re-read the problem description and compare your changes with the base commit 201d21ac034f6121c4495dfa96acc18622f913e4. 8.1 Ensure you've fully addressed all requirements. 8.2 Run any tests in the repository related to: 8.2.1 The issue you are fixing 8.2.2 The files you modified 8.2.3 The functions you changed 8.3 If any tests fail, revise your implementation until all tests pass. Be thorough in your exploration, testing, and reasoning. It's fine if your thinking process is lengthy - quality and completeness are more important than brevity. IMPORTANT CONSTRAINTS: - ONLY modify files within the /workspace/tracing directory - DO NOT navigate outside this directory (no `cd ..` or absolute paths to other locations) - DO NOT create, modify, or delete any files outside the repository - All your changes must be trackable by `git diff` within the repository - If you need to create test files, create them inside the repository directory ``` --- Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp