5e9bc28abe
This commit significantly improves the functionality by implementing fuzzy semantic search to find contextually relevant dependencies: - Add Fuse.js for powerful fuzzy search capability with weighted multi-field matching - Implement score-based relevance ranking with high/medium relevance tiers - Enhance context generation to include detailed information about similar tasks - Fix context shadowing issue that prevented detailed task information from reaching the AI model - Add informative CLI output showing semantic search results and dependency patterns - Improve formatting of dependency information in prompts with task titles The result is that newly created tasks are automatically placed within the correct dependency structure without manual intervention, with the AI having much better context about which tasks are most relevant to the new one being created. This significantly improves the user experience by reducing the need to manually update task dependencies after creation, all without increasing token usage or costs.
33 lines
1.7 KiB
Plaintext
33 lines
1.7 KiB
Plaintext
# Task ID: 92
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# Title: Implement Scheduling System for Periodic Task Execution
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# Status: pending
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# Dependencies: 1, 3, 11, 17, 19
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# Priority: medium
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# Description: Develop a system that allows tasks to be scheduled with custom time intervals and timezone configuration, enabling periodic execution of tasks at specified times.
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# Details:
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1. Design the scheduling system architecture to support:
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- Custom time intervals (e.g., every X minutes/hours/days)
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- Timezone configuration
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- Task prioritization in scheduling
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2. Implement the core scheduling functionality:
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- Create a scheduler service that manages scheduled tasks
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- Develop task execution logic based on schedules
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- Integrate with existing task management system (Task 3)
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3. Add user interface for scheduling tasks:
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- Create command-line options for setting up scheduled tasks
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- Implement configuration validation and error handling (Task 19)
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4. Ensure proper logging of scheduled tasks and their execution (Task 17)
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5. Handle timezone conversions accurately
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6. Implement batch scheduling operations (Task 11)
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7. Add support for recurring tasks with complex schedules (e.g., cron-like syntax)
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8. Integrate with the existing task data structure (Task 1)
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# Test Strategy:
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1. Verify that tasks can be scheduled with various time intervals and timezone configurations
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2. Test scheduling edge cases (e.g., overlapping schedules, different timezones)
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3. Check proper execution of scheduled tasks at specified times
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4. Validate logging of scheduled task executions
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5. Ensure error handling works correctly for invalid schedule configurations
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6. Test batch scheduling operations
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7. Verify timezone conversion accuracy
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