Files
claude-task-master/tasks/task_006.txt
Eyal Toledano c5738a2513 feat: Add skipped tests for task-manager and utils modules, and address potential issues
This commit introduces a comprehensive set of skipped tests to both  and . These skipped tests serve as a blueprint for future test implementation, outlining the necessary test cases for currently untested functionalities.

- Ensures sync with bin/ folder by adding -r/--research to the  command
- Fixes an issue that improperly parsed command line args
- Ensures confirmation card on dependency add/remove
- Properly formats some sub-task dependencies

**Potentially addressed issues:**

While primarily focused on adding test coverage, this commit also implicitly addresses potential issues by:

- **Improving error handling coverage:** The addition of skipped tests for error scenarios in functions like , , , and  highlights areas where error handling needs to be robustly tested and potentially improved in the codebase.
- **Enhancing dependency validation:** Skipped tests for  include validation of dependencies, prompting a review of the dependency validation logic and ensuring its correctness.
- **Standardizing test coverage:** By creating a clear roadmap for testing all functions, this commit contributes to a more standardized and complete test suite, reducing the likelihood of undiscovered bugs in the future.

**task-manager.test.js:**

- Added skipped test blocks for the following functions:
    - : Includes tests for handling valid JSON responses, malformed JSON, missing tasks in responses, Perplexity AI research integration, Claude fallback, and parallel task processing.
    - : Covers tests for updating tasks based on context, handling Claude streaming, Perplexity AI integration, scenarios with no tasks to update, and error handling during updates.
    - : Includes tests for generating task files from , formatting dependencies with status indicators, handling tasks without subtasks, empty task arrays, and dependency validation before file generation.
    - : Covers tests for updating task status, subtask status using dot notation, updating multiple tasks, automatic subtask status updates, parent task update suggestions, and handling non-existent task IDs.
    - : Includes tests for updating regular and subtask statuses, handling parent tasks without subtasks, and non-existent subtask IDs.
    - : Covers tests for displaying all tasks, filtering by status, displaying subtasks, showing completion statistics, identifying the next task, and handling empty task arrays.
    - : Includes tests for generating subtasks, using complexity reports for subtask counts, Perplexity AI integration, appending subtasks, skipping completed tasks, and error handling during subtask generation.
    - : Covers tests for expanding all pending tasks, sorting by complexity, skipping tasks with existing subtasks (unless forced), using task-specific parameters from complexity reports, handling empty task arrays, and error handling for individual tasks.
    - : Includes tests for clearing subtasks from specific and multiple tasks, handling tasks without subtasks, non-existent task IDs, and regenerating task files after clearing subtasks.
    - : Covers tests for adding new tasks using AI, handling Claude streaming, validating dependencies, handling malformed AI responses, and using existing task context for generation.

**utils.test.js:**

- Added skipped test blocks for the following functions:
    - : Tests for logging messages according to log levels and filtering messages below configured levels.
    - : Tests for reading and parsing valid JSON files, handling file not found errors, and invalid JSON formats.
    - : Tests for writing JSON data to files and handling file write errors.
    - : Tests for escaping double quotes in prompts and handling prompts without special characters.
    - : Tests for reading and parsing complexity reports, handling missing report files, and custom report paths.
    - : Tests for finding tasks in reports by ID, handling non-existent task IDs, and invalid report structures.
    - : Tests for verifying existing task and subtask IDs, handling non-existent IDs, and invalid inputs.
    - : Tests for formatting numeric and string task IDs and preserving dot notation for subtasks.
    - : Tests for detecting simple and complex cycles in dependency graphs, handling acyclic graphs, and empty dependency maps.

These skipped tests provide a clear roadmap for future test development, ensuring comprehensive coverage for core functionalities in both modules. They document the intended behavior of each function and outline various scenarios, including happy paths, edge cases, and error conditions, thereby improving the overall test strategy and maintainability of the Task Master CLI.
2025-03-24 18:54:35 -04:00

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# Task ID: 6
# Title: Build PRD Parsing System
# Status: done
# Dependencies: 1, 5
# Priority: high
# Description: Create the system for parsing Product Requirements Documents into structured task lists.
# Details:
Implement PRD parsing functionality including:
- PRD file reading from specified path
- Prompt engineering for effective PRD parsing
- Convert PRD content to task structure via Claude API
- Implement intelligent dependency inference
- Add priority assignment logic
- Handle large PRDs by chunking if necessary
# Test Strategy:
Test with sample PRDs of varying complexity. Verify that generated tasks accurately reflect the requirements in the PRD. Check that dependencies and priorities are logically assigned.
# Subtasks:
## 1. Implement PRD File Reading Module [done]
### Dependencies: None
### Description: Create a module that can read PRD files from a specified file path. The module should handle different file formats (txt, md, docx) and extract the text content. Implement error handling for file not found, permission issues, and invalid file formats. Add support for encoding detection and proper text extraction to ensure the content is correctly processed regardless of the source format.
### Details:
## 2. Design and Engineer Effective PRD Parsing Prompts [done]
### Dependencies: None
### Description: Create a set of carefully engineered prompts for Claude API that effectively extract structured task information from PRD content. Design prompts that guide Claude to identify tasks, dependencies, priorities, and implementation details from unstructured PRD text. Include system prompts, few-shot examples, and output format specifications to ensure consistent results.
### Details:
## 3. Implement PRD to Task Conversion System [done]
### Dependencies: 6.1
### Description: Develop the core functionality that sends PRD content to Claude API and converts the response into the task data structure. This includes sending the engineered prompts with PRD content to Claude, parsing the structured response, and transforming it into valid task objects that conform to the task model. Implement validation to ensure the generated tasks meet all requirements.
### Details:
## 4. Build Intelligent Dependency Inference System [done]
### Dependencies: 6.1, 6.3
### Description: Create an algorithm that analyzes the generated tasks and infers logical dependencies between them. The system should identify which tasks must be completed before others based on the content and context of each task. Implement both explicit dependency detection (from Claude's output) and implicit dependency inference (based on task relationships and logical ordering).
### Details:
## 5. Implement Priority Assignment Logic [done]
### Dependencies: 6.1, 6.3
### Description: Develop a system that assigns appropriate priorities (high, medium, low) to tasks based on their content, dependencies, and position in the PRD. Create algorithms that analyze task descriptions, identify critical path tasks, and consider factors like technical risk and business value. Implement both automated priority assignment and manual override capabilities.
### Details:
## 6. Implement PRD Chunking for Large Documents [done]
### Dependencies: 6.1, 6.5, 6.3
### Description: Create a system that can handle large PRDs by breaking them into manageable chunks for processing. Implement intelligent document segmentation that preserves context across chunks, tracks section relationships, and maintains coherence in the generated tasks. Develop a mechanism to reassemble and deduplicate tasks generated from different chunks into a unified task list.
### Details: