Implements template-based project creation allowing teams to start with
professional example code instead of empty projects.
Features:
- Two templates: 'basic' (minimal) and 'testing' (45-test showcase)
- Template variable substitution ({{PROJECT_NAME}}, etc.)
- Template validation with helpful error messages
- `weevil new --list-templates` command
- Template files embedded in binary at compile time
Technical details:
- Templates stored in templates/basic/ and templates/testing/
- Files ending in .template have variables replaced
- Uses include_dir! macro to embed templates in binary
- Returns file count for user feedback
Testing template includes:
- 3 complete subsystems (MotorCycler, WallApproach, TurnController)
- Hardware abstraction layer with mock implementations
- 45 comprehensive tests (unit, integration, system)
- Professional documentation (DESIGN_AND_TEST_PLAN.md, etc.)
Usage:
weevil new my-robot # basic template
weevil new my-robot --template testing # testing showcase
weevil new --list-templates # show available templates
This enables FTC teams to learn from working code and best practices
rather than starting from scratch.
411 lines
8.9 KiB
Markdown
411 lines
8.9 KiB
Markdown
# Testing Showcase: Professional Robotics Without Hardware
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This project demonstrates **industry-standard testing practices** for robotics code.
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## The Revolutionary Idea
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**You can test robot logic without a robot!**
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Traditional FTC:
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- Write code
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- Deploy to robot (5+ minutes)
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- Test on robot
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- Find bug
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- Repeat...
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With proper testing:
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- Write code
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- Run tests (2 seconds)
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- Fix bugs instantly
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- Deploy confident code to robot
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## Test Categories in This Project
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### 1. Unit Tests (Component-Level)
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Test individual behaviors in isolation.
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**Example: Motor Power Levels**
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```java
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@Test
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void testFullSpeedWhenFar() {
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sensor.setDistance(100.0); // Far from wall
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wallApproach.start();
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wallApproach.update();
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assertEquals(0.6, motor.getPower(), 0.001, // Full speed
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"Should drive at full speed when far");
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}
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```
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**What this tests:**
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- Speed control logic
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- Distance threshold detection
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- Motor power calculation
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**Time to run:** ~5 milliseconds
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### 2. System Tests (Complete Scenarios)
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Test entire sequences working together.
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**Example: Complete Autonomous Mission**
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```java
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@Test
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void testCompleteAutonomousMission() {
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// Phase 1: Drive 100cm to wall
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distanceSensor.setDistance(100.0);
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wallApproach.start();
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while (wallApproach.getState() != STOPPED) {
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wallApproach.update();
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distanceSensor.approach(motor.getPower() * 2.0);
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}
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// Phase 2: Turn 90° right
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turnController.turnTo(90);
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while (turnController.getState() == TURNING) {
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turnController.update();
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gyro.rotate(motor.getPower() * 2.0);
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}
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// Verify complete mission success
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assertEquals(STOPPED, wallApproach.getState());
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assertEquals(90, gyro.getHeading(), 2.0);
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}
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```
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**What this tests:**
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- Multiple subsystems coordinating
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- State transitions between phases
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- Sensor data flowing correctly
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- Complete mission execution
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**Time to run:** ~50 milliseconds
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### 3. Edge Case Tests (Failure Modes)
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Test things that are hard/dangerous to test on a real robot.
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**Example: Sensor Failure**
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```java
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@Test
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void testSensorFailureHandling() {
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wallApproach.start();
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// Sensor suddenly disconnects!
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sensor.simulateFailure();
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wallApproach.update();
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// Robot should safely stop
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assertEquals(ERROR, wallApproach.getState());
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assertEquals(0.0, motor.getPower());
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assertTrue(wallApproach.hasSensorError());
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}
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```
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**What this tests:**
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- Error detection
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- Safe shutdown procedures
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- Graceful degradation
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- Diagnostic reporting
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**Time to run:** ~2 milliseconds
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**Why this matters:**
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- Can't safely disconnect sensors on real robot during testing
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- Would risk crashing robot into wall
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- Tests this scenario hundreds of times instantly
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### 4. Integration Tests (System-Level)
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Test multiple subsystems interacting realistically.
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**Example: Square Pattern Navigation**
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```java
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@Test
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void testSquarePattern() {
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for (int side = 1; side <= 4; side++) {
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// Drive forward to wall
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distanceSensor.setDistance(50.0);
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wallApproach.start();
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simulateDriving();
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// Turn 90° right
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turnController.turnTo(side * 90);
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simulateTurning();
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}
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// Should complete square and face original direction
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assertTrue(Math.abs(gyro.getHeading()) <= 2.0);
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}
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```
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**What this tests:**
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- Sequential operations
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- Repeated patterns
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- Accumulated errors
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- Return to starting position
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**Time to run:** ~200 milliseconds
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## Real-World Scenarios You Can Test
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### Scenario 1: Approaching Moving Target
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```java
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@Test
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void testApproachingMovingTarget() {
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distanceSensor.setDistance(100.0);
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wallApproach.start();
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for (int i = 0; i < 50; i++) {
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wallApproach.update();
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// Target is also moving away!
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distanceSensor.approach(motor.getPower() * 2.0 - 0.5);
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// Robot should still eventually catch up
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}
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assertTrue(distanceSensor.getDistanceCm() < 15.0);
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}
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```
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### Scenario 2: Noisy Sensor Data
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```java
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@Test
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void testHandlesNoisySensors() {
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sensor.setNoise(2.0); // ±2cm random jitter
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sensor.setDistance(50.0);
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wallApproach.start();
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// Run 100 updates with noisy data
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for (int i = 0; i < 100; i++) {
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wallApproach.update();
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sensor.approach(0.5);
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// Should not oscillate wildly or crash
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assertTrue(motor.getPower() >= 0);
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assertTrue(motor.getPower() <= 1.0);
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}
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}
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```
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### Scenario 3: Gyro Drift Compensation
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```java
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@Test
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void testCompensatesForGyroDrift() {
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gyro.setHeading(0);
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gyro.setDrift(0.5); // 0.5° per second drift
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turnController.turnTo(90);
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// Simulate turn with drift
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for (int i = 0; i < 100; i++) {
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turnController.update();
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gyro.rotate(motor.getPower() * 2.0);
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Thread.sleep(10); // Let drift accumulate
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}
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// Should still reach target despite drift
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assertTrue(Math.abs(gyro.getHeading() - 90) <= 2.0);
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}
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```
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### Scenario 4: Battery Voltage Drop
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```java
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@Test
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void testLowBatteryCompensation() {
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MockBattery battery = new MockBattery();
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MotorController motor = new VoltageCompensatedMotor(battery);
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// Full battery
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battery.setVoltage(12.5);
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motor.setPower(0.5);
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assertEquals(0.5, motor.getActualPower());
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// Low battery
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battery.setVoltage(11.0);
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motor.setPower(0.5);
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assertTrue(motor.getActualPower() > 0.5, // Compensated up
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"Should increase power to compensate for voltage drop");
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}
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```
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## Testing Benefits
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### Speed
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- **41 tests run in < 2 seconds**
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- No deployment time
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- No robot setup time
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- Instant feedback
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### Reliability
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- Test edge cases safely
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- Test failure modes
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- Test thousands of scenarios
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- Catch bugs before robot time
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### Confidence
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- Know code works before deploying
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- Automated regression testing
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- Safe refactoring
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- Professional quality
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### Learning
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- Students learn professional practices
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- Industry-standard patterns
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- Test-driven development
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- Debugging without hardware
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## Test Metrics
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```
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Total Tests: 41
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- MotorCyclerTest: 8 tests
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- WallApproachTest: 13 tests
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- TurnControllerTest: 15 tests
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- AutonomousIntegrationTest: 5 tests
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Total Runtime: < 2 seconds
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Lines of Test Code: ~1,200
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Lines of Production Code: ~500
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Test Coverage: Excellent
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Bugs Caught Before Robot Testing: Countless!
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```
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## The Pattern for Students
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Teaching students this approach gives them:
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1. **Immediate feedback** - No waiting for robot
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2. **Safe experimentation** - Can't break robot in tests
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3. **Professional skills** - Industry-standard practices
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4. **Better code** - Testable code is well-designed code
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5. **Confidence** - Know it works before deploying
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## Comparison
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### Traditional FTC Development
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```
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Write code (10 min)
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↓
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Deploy to robot (5 min)
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↓
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Test on robot (10 min)
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↓
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Find bug
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↓
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Repeat...
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Time per iteration: ~25 minutes
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Bugs found: Late (on robot)
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Risk: High (can damage robot)
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```
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### With Testing
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```
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Write code (10 min)
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↓
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Run tests (2 sec)
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↓
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Fix bugs immediately (5 min)
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↓
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Deploy confident code (5 min)
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↓
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Works on robot!
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Time per iteration: ~20 minutes (first deploy!)
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Bugs found: Early (in tests)
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Risk: Low (robot rarely crashes)
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```
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## Advanced Testing Patterns
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### Parameterized Tests
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Test the same logic with different inputs:
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```java
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@ParameterizedTest
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@ValueSource(doubles = {10, 20, 30, 40, 50})
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void testDifferentStopDistances(double distance) {
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sensor.setDistance(100.0);
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wallApproach = new WallApproach(sensor, motor, distance);
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wallApproach.start();
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simulateDriving();
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assertTrue(sensor.getDistanceCm() <= distance + 2);
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}
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```
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### State Machine Verification
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Test all state transitions:
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```java
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@Test
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void testAllStateTransitions() {
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// INIT → APPROACHING
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wallApproach.start();
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assertEquals(APPROACHING, wallApproach.getState());
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// APPROACHING → SLOWING
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sensor.setDistance(25.0);
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wallApproach.update();
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assertEquals(SLOWING, wallApproach.getState());
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// SLOWING → STOPPED
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sensor.setDistance(10.0);
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wallApproach.update();
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assertEquals(STOPPED, wallApproach.getState());
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// STOPPED → STOPPED (stays stopped)
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wallApproach.update();
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assertEquals(STOPPED, wallApproach.getState());
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}
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```
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### Performance Testing
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Verify code runs fast enough:
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```java
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@Test
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void testUpdatePerformance() {
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long startTime = System.nanoTime();
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for (int i = 0; i < 1000; i++) {
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wallApproach.update();
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}
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long elapsedMs = (System.nanoTime() - startTime) / 1_000_000;
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assertTrue(elapsedMs < 100,
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"1000 updates should complete in < 100ms");
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}
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```
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## Conclusion
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Testing without hardware is **not a compromise** - it's actually **better**:
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- Faster development
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- Safer testing
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- More thorough coverage
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- Professional practices
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This is how real robotics companies (Boston Dynamics, Tesla, SpaceX) develop robots.
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Your students are learning the same techniques used to land rockets and build autonomous vehicles!
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