Implement stubbed Phase 1 modules: topology gaps/overlaps and distance distortion

[Copilot]

Three Phase 1 checker rules contained todo!() stubs that would panic at runtime. This replaces them with working implementations.

Changes

proj/distance-distortion

• Inverse-projects feature centroids to WGS84 via proj::Proj::new_known_crs()
• Compares Euclidean distance in the projected CRS against Haversine::distance() on WGS84
• Caps sampling at 30 centroids (≤435 pairs) to bound O(n²) cost per layer

data/topology-overlaps

• Builds an rstar::RTree from polygon bounding boxes for candidate filtering
• Uses geo::BooleanOps::intersection() to compute actual shared area per candidate pair
• Reports when intersection area > 1e-10 sq units (suppresses floating-point boundary noise)

data/topology-gaps

• Same R-tree approach with bounding boxes expanded by a scale-relative tolerance
• Gap tolerance = max(extent × 1e-4, 1e-8) — ~1 cm on a 100 m parcel, ~10 m on a county dataset, independent of CRS units
• Uses geo::Distance<Euclidean> for exact polygon distance only on R-tree candidates
• Reports when 0 < dist ≤ tolerance (zero distance = touching/overlapping, not a gap)

All three use the non-deprecated geo 0.29 Distance trait API (Euclidean::distance, Haversine::distance) rather than the removed EuclideanDistance/HaversineDistance traits.

Original prompt

Proceed

[Chronological Review: The conversation began with the user requesting to read various project documentation files for context and to create remaining Phase 1 modules. The user specified detailed requirements for each module, including file names, rule implementations, and conventions. The user then requested to see a plan before proceeding, which was provided. After the user confirmed to "Engage," they requested to proceed through all remaining phases. The user subsequently issued commands to commit changes and delegate tasks to a cloud agent multiple times, indicating a focus on finalizing work and delegating further actions.]

[Intent Mapping: The user explicitly requested to read specific project documentation for context, create modules with detailed specifications, and ensure compliance with coding standards. The user also aimed to finalize and delegate tasks to a cloud agent, indicating a desire to streamline the workflow and ensure project progress.]

[Technical Inventory: Technologies and frameworks mentioned include Rust for module development, the geo crate for geometry handling, and conventions for error handling and logging. The user specified the implementation of the Rule trait and the use of specific data structures for findings and scores.]

[Code Archaeology: The user outlined the creation of multiple Rust files under different modules (e.g., checkers/data_quality, checkers/projection, score, profile, explain) with specific functionalities and requirements. Each file was to implement the Rule trait and follow strict conventions regarding documentation and error handling.]

[Progress Assessment: The user has completed the planning phase and is ready to implement the specified modules. They have committed changes and are in the process of delegating tasks to a cloud agent.]

[Context Validation: All critical information for continuation is captured, including the specific modules to be created, their functionalities, and the conventions to follow.]

[Recent Commands Analysis: The last agent commands executed were "Commit Changes and Delegate: 'Delegate to cloud agent'" issued multiple times. The immediate pre-summarization state involved the user actively working on committing changes and delegating tasks, indicating a focus on project completion and delegation of further actions to a cloud agent.]

1. Conversation Overview: - Primary Objectives: The user requested to create remaining Phase 1 modules with specific requirements: "Create all remaining Phase 1 modules...". They also aimed to finalize and delegate tasks to a cloud agent. - Session Context: The conversation flowed from an initial request for context and module creation to planning, engaging, and committing changes for delegation. - User Intent Evolution: The user's needs shifted from gathering context and planning to executing and delegating tasks, indicating a focus on project completion.

2. Technical Foundation:

• Rust: The primary programming language for module development.
• geo crate: Used for handling geometry types and validations.
• Rule trait: A key interface for implementing rules across various modules.

3. Codebase Status:

• checkers/data_quality/null_geometry.rs:
  • Purpose: Counts features with None or empty geometry.
  • Current State: To be implemented with the Rule trait.
  • Key Code Segments: Will include rule_id, severity, and check method.
• checkers/projection/area_distortion.rs:
  • Purpose: Checks for area distortion.
  • Current State: To be implemented with configurable thresholds.
  • Key Code Segments: Will include rule_id and severity.
• Additional files will follow similar structures as outlined in the user's requests.

4. Problem Resolution:

• Issues Encountered: None explicitly mentioned, but the user is focused on ensuring all modules compile and meet specifications.
• Solutions Implemented: The user has outlined clear specifications for each module to avoid ambiguity.
• Debugging Context: No ongoing issues reported; focus is on implementation.
• Lessons Learned: The importance of detailed specifications for successful module creation.

5. Progress Tracking:

• Completed Tasks: Planning phase completed; user has confirmed the plan.
• Partially Complete Work: Module implementations are pending.
• Validated Outcomes: None yet, as implementation has not begun.

6. Active Work State:

• Current Focus: The user was actively committing changes and delegating tasks to a cloud agent.
• Recent Context: The user issued commands to commit changes and delegate tasks multiple times.
• Working Code: No specific code snippets were discussed in the recent exchanges.
• Immediate Context: The user was preparing to finalize and delegate tasks before the summary was triggered.

7. Recent Operations:

• Last Agent Commands: "Commit Changes and Delegate: 'Delegate to cloud agent'" executed multiple times.
• Tool Results Summary: No specific tool results were provided, but t...

Created from VS Code.

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