Feat: add regex-based title cleaning rules configuration and implementation

[AminZibayi]

You can configure regex-based title cleaning rules to modify window titles before they are sent to the server. This is useful for removing application-specific suffixes, temporary states (like unread message counts), or other noisy data from window titles, leading to cleaner and more accurate data aggregation.

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Important

Add regex-based title cleaning rules to modify window titles before sending to server, with configuration and documentation updates.

• Feature:
  • Add regex-based title cleaning rules to modify window titles before sending to server.
  • Implemented in clean_window_title() in main.py and get_title_cleaning_rules() in config.py.
  • Configuration examples added to example-config.toml.
• Configuration:
  • Users can define rules in ~/.config/activitywatch/aw-watcher-window.toml.
  • Each rule includes app, pattern, and replacement fields.
• Documentation:
  • Updated README.md with instructions for configuring title cleaning rules.

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[ellipsis-dev]

Important

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• Reviewed 180 lines of code in 4 files
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1. aw_watcher_window/config.py:20

• Draft comment:
  Inconsistent config access: load_config now returns the full config (without indexing by 'aw-watcher-window') while parse_args still accesses config['aw-watcher-window']. Consider harmonizing how configuration is retrieved.
• Reason this comment was not posted:
  Confidence changes required: 33% <= threshold 50% None

2. aw_watcher_window/config.py:26

• Draft comment:
  get_title_cleaning_rules() calls load_config_toml() directly, reloading the config. Consider reusing the result from load_config() or caching the cleaning rules to avoid redundant config parsing.
• Reason this comment was not posted:
  Confidence changes required: 33% <= threshold 50% None

3. aw_watcher_window/main.py:43

• Draft comment:
  In clean_window_title(), regex patterns are recompiled on every call. Consider precompiling the regex patterns (possibly during config loading) to improve performance.
• Reason this comment was not posted:
  Confidence changes required: 33% <= threshold 50% None

Workflow ID: wflow_i0pKdKX8Sb5oBQe5

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