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Introduce a lightweight Timer scheduler (swanlab.sdk.internal.pkg.timer) implemented with a daemon thread, supporting fixed or dynamic intervals, optional immediate execution, cooperative cancel(), restartable start()/run() (logs a warning if already running), join(), execution_count and is_running properties, and defensive interval validation. The Timer logs task and strategy errors via console and ensures the running task is not forcibly killed. Add comprehensive unit tests covering basic scheduling, immediate run, dynamic interval strategy, cancel interrupting sleep, error resilience, double-run warning, restart behavior, and invalid interval rejection, plus a fixture that cleans up timers after each test.
Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request introduces a new, robust Highlights
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Code Review
This pull request introduces a new Timer utility class for scheduling periodic tasks, complete with comprehensive unit tests. It also adds a clean script to the Makefile for removing Python cache files. The Timer class is well-designed, thread-safe, and robust. My review includes one suggestion to reset the execution counter when the timer is restarted, which will make its behavior more predictable, especially when using dynamic intervals.
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Code Review
This pull request refactors the data uploading mechanism by introducing a dedicated uploader thread. The changes are extensive, adding a new uploader package with logic for batching, threading, and a no-op transport layer for future integration with a Go sidecar. A generic Timer utility and a script for cleaning Python cache have also been added. The code is well-structured, documented, and accompanied by thorough unit tests.
My main feedback is regarding a potential race condition in log_collector.py due to an unsafe custom lock implementation. Using threading.Lock would resolve this and make the synchronization more robust and efficient. Overall, this is a solid improvement for handling data uploads asynchronously.
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Description