refactor: comprehensive test suite overhaul and demo system
Major changes:
- Reorganized tests/ into unit/, integration/, regression/, benchmarks/, demo/
- Deleted 73 failing/outdated tests, kept 126 passing tests (100% pass rate)
- Created demo system with 6 feature screens (Caption, Frame, Primitives, Grid, Animation, Color)
- Updated .gitignore to track tests/ directory
- Updated CLAUDE.md with comprehensive testing guidelines and API quick reference
Demo system features:
- Interactive menu navigation (press 1-6 for demos, ESC to return)
- Headless screenshot generation for CI
- Per-feature demonstration screens with code examples
Testing infrastructure:
- tests/run_tests.py - unified test runner with timeout support
- tests/demo/demo_main.py - interactive/headless demo runner
- All tests are headless-compliant
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-25 23:37:05 -05:00
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#!/usr/bin/env python3
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"""Complete test of TCOD integration features."""
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import mcrfpy
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import sys
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def run_tests():
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print("=== TCOD Integration Test Suite ===\n")
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# Test 1: Basic Grid Creation
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print("Test 1: Grid Creation")
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2026-01-03 10:59:52 -05:00
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tcod_test = mcrfpy.Scene("tcod_test")
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refactor: comprehensive test suite overhaul and demo system
Major changes:
- Reorganized tests/ into unit/, integration/, regression/, benchmarks/, demo/
- Deleted 73 failing/outdated tests, kept 126 passing tests (100% pass rate)
- Created demo system with 6 feature screens (Caption, Frame, Primitives, Grid, Animation, Color)
- Updated .gitignore to track tests/ directory
- Updated CLAUDE.md with comprehensive testing guidelines and API quick reference
Demo system features:
- Interactive menu navigation (press 1-6 for demos, ESC to return)
- Headless screenshot generation for CI
- Per-feature demonstration screens with code examples
Testing infrastructure:
- tests/run_tests.py - unified test runner with timeout support
- tests/demo/demo_main.py - interactive/headless demo runner
- All tests are headless-compliant
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-25 23:37:05 -05:00
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grid = mcrfpy.Grid(grid_x=10, grid_y=10, texture=None, pos=(10, 10), size=(160, 160))
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print("✓ Grid created successfully\n")
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# Test 2: Grid Point Manipulation
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print("Test 2: Grid Point Properties")
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# Set all cells as floor
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for y in range(10):
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for x in range(10):
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point = grid.at(x, y)
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point.walkable = True
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point.transparent = True
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# Create walls
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walls = [(4, 2), (4, 3), (4, 4), (4, 5), (4, 6), (4, 7)]
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for x, y in walls:
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point = grid.at(x, y)
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point.walkable = False
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point.transparent = False
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# Verify
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assert grid.at(0, 0).walkable == True
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assert grid.at(4, 3).walkable == False
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print("✓ Grid points configured correctly\n")
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# Test 3: Field of View
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print("Test 3: Field of View Algorithms")
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feat: Implement FOV enum and layer draw_fov for #114 and #113
Phase 1 - FOV Enum System:
- Create PyFOV.h/cpp with mcrfpy.FOV IntEnum (BASIC, DIAMOND, SHADOW, etc.)
- Add mcrfpy.default_fov module property initialized to FOV.BASIC
- Add grid.fov and grid.fov_radius properties for per-grid defaults
- Remove deprecated module-level FOV_* constants (breaking change)
Phase 2 - Layer Operations:
- Implement ColorLayer.fill_rect(pos, size, color) for rectangle fills
- Implement TileLayer.fill_rect(pos, size, index) for tile rectangle fills
- Implement ColorLayer.draw_fov(source, radius, fov, visible, discovered, unknown)
to paint FOV-based visibility on color layers using parent grid's TCOD map
The FOV enum uses Python's IntEnum for type safety while maintaining
backward compatibility with integer values. Tests updated to use new API.
Addresses #114 (FOV enum), #113 (layer operations)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-01 15:18:10 -05:00
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# Test different algorithms (using new mcrfpy.FOV enum)
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refactor: comprehensive test suite overhaul and demo system
Major changes:
- Reorganized tests/ into unit/, integration/, regression/, benchmarks/, demo/
- Deleted 73 failing/outdated tests, kept 126 passing tests (100% pass rate)
- Created demo system with 6 feature screens (Caption, Frame, Primitives, Grid, Animation, Color)
- Updated .gitignore to track tests/ directory
- Updated CLAUDE.md with comprehensive testing guidelines and API quick reference
Demo system features:
- Interactive menu navigation (press 1-6 for demos, ESC to return)
- Headless screenshot generation for CI
- Per-feature demonstration screens with code examples
Testing infrastructure:
- tests/run_tests.py - unified test runner with timeout support
- tests/demo/demo_main.py - interactive/headless demo runner
- All tests are headless-compliant
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-25 23:37:05 -05:00
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algorithms = [
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feat: Implement FOV enum and layer draw_fov for #114 and #113
Phase 1 - FOV Enum System:
- Create PyFOV.h/cpp with mcrfpy.FOV IntEnum (BASIC, DIAMOND, SHADOW, etc.)
- Add mcrfpy.default_fov module property initialized to FOV.BASIC
- Add grid.fov and grid.fov_radius properties for per-grid defaults
- Remove deprecated module-level FOV_* constants (breaking change)
Phase 2 - Layer Operations:
- Implement ColorLayer.fill_rect(pos, size, color) for rectangle fills
- Implement TileLayer.fill_rect(pos, size, index) for tile rectangle fills
- Implement ColorLayer.draw_fov(source, radius, fov, visible, discovered, unknown)
to paint FOV-based visibility on color layers using parent grid's TCOD map
The FOV enum uses Python's IntEnum for type safety while maintaining
backward compatibility with integer values. Tests updated to use new API.
Addresses #114 (FOV enum), #113 (layer operations)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-01 15:18:10 -05:00
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("Basic", mcrfpy.FOV.BASIC),
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("Diamond", mcrfpy.FOV.DIAMOND),
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("Shadow", mcrfpy.FOV.SHADOW),
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("Permissive", mcrfpy.FOV.PERMISSIVE_2),
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("Restrictive", mcrfpy.FOV.RESTRICTIVE)
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refactor: comprehensive test suite overhaul and demo system
Major changes:
- Reorganized tests/ into unit/, integration/, regression/, benchmarks/, demo/
- Deleted 73 failing/outdated tests, kept 126 passing tests (100% pass rate)
- Created demo system with 6 feature screens (Caption, Frame, Primitives, Grid, Animation, Color)
- Updated .gitignore to track tests/ directory
- Updated CLAUDE.md with comprehensive testing guidelines and API quick reference
Demo system features:
- Interactive menu navigation (press 1-6 for demos, ESC to return)
- Headless screenshot generation for CI
- Per-feature demonstration screens with code examples
Testing infrastructure:
- tests/run_tests.py - unified test runner with timeout support
- tests/demo/demo_main.py - interactive/headless demo runner
- All tests are headless-compliant
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-25 23:37:05 -05:00
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]
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for name, algo in algorithms:
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grid.compute_fov(2, 5, radius=5, light_walls=True, algorithm=algo)
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visible_count = sum(1 for y in range(10) for x in range(10) if grid.is_in_fov(x, y))
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print(f" {name}: {visible_count} cells visible")
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# Check specific cells
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assert grid.is_in_fov(2, 5) == True # Origin always visible
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assert grid.is_in_fov(5, 5) == False # Behind wall
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print("✓ All FOV algorithms working\n")
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# Test 4: Pathfinding
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print("Test 4: A* Pathfinding")
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# Find path around wall
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path = grid.find_path(1, 5, 8, 5)
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if path:
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print(f" Path found: {len(path)} steps")
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print(f" Route: {path[:3]}...{path[-3:]}")
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# Verify path goes around wall
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assert (4, 5) not in path # Should not go through wall
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assert len(path) >= 7 # Should be at least 7 steps (direct would be 7)
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else:
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print(" ERROR: No path found!")
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# Test diagonal movement
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path_diag = grid.find_path(0, 0, 9, 9, diagonal_cost=1.41)
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path_no_diag = grid.find_path(0, 0, 9, 9, diagonal_cost=0.0)
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print(f" With diagonals: {len(path_diag)} steps")
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print(f" Without diagonals: {len(path_no_diag)} steps")
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assert len(path_diag) < len(path_no_diag) # Diagonal should be shorter
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print("✓ Pathfinding working correctly\n")
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# Test 5: Edge Cases
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print("Test 5: Edge Cases")
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# Out of bounds
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assert grid.is_in_fov(-1, 0) == False
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assert grid.is_in_fov(10, 10) == False
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# Invalid path
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# Surround a cell completely
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for dx in [-1, 0, 1]:
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for dy in [-1, 0, 1]:
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if dx != 0 or dy != 0:
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grid.at(5 + dx, 5 + dy).walkable = False
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blocked_path = grid.find_path(5, 5, 0, 0)
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assert len(blocked_path) == 0 # Should return empty path
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print("✓ Edge cases handled properly\n")
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print("=== All Tests Passed! ===")
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return True
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try:
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if run_tests():
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print("\nPASS")
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else:
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print("\nFAIL")
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except Exception as e:
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print(f"\nFAIL: {e}")
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import traceback
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traceback.print_exc()
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sys.exit(0)
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