Initial commit: skills library

- 70 skills with code and documentation - Add .gitignore (ignore __pycache__, output/, temp/, venv/) - Clean up test intermediates and caches
2026-04-26 19:27:40 +08:00
commit 04db423416
861 changed files with 210414 additions and 0 deletions
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+#!/usr/bin/env python3
+"""
+Test script for agent-vision-awareness skill
+
+This script tests the vision detection and processing capabilities.
+"""
+
+import os
+import sys
+from pathlib import Path
+
+
+def test_detection():
+    """Test visual content detection."""
+    print("Testing visual content detection...")
+
+    from .vision_detector import VisionContentDetector, DetectionConfidence
+
+    detector = VisionContentDetector()
+
+    test_cases = [
+        ("帮我分析这个截图 error.png", DetectionConfidence.HIGH),
+        ("描述这张图片的内容", DetectionConfidence.LOW),
+        ("根据架构图 design/architecture.png 生成部署方案", DetectionConfidence.HIGH),
+        ("写一个 Python 脚本", DetectionConfidence.NONE),
+        ("![diagram](flow.png) 显示什么？", DetectionConfidence.HIGH),
+    ]
+
+    for test_input, expected_confidence in test_cases:
+        confidence, items = detector.detect_visual_content(test_input)
+        status = "✅" if confidence == expected_confidence else "❌"
+        print(f"{status} Input: {test_input}")
+        print(f"   Expected: {expected_confidence.value}, Got: {confidence.value}")
+        if items:
+            print(f"   Detected: {items}")
+        print()
+
+    return True
+
+
+def test_integration():
+    """Test integration with vision analyzer (if API key available)."""
+    print("Testing vision integration...")
+
+    # Check if API key is available
+    api_key = os.environ.get("VOLCENGINE_API_KEY") or os.environ.get(
+        "DASHSCOPE_API_KEY"
+    )
+    if not api_key:
+        print("⚠️  No API key found. Skipping integration test.")
+        print(
+            "   Set VOLCENGINE_API_KEY or DASHSCOPE_API_KEY environment variable to test."
+        )
+        return False
+
+    try:
+        from .integrate_vision import process_user_input
+
+        # Test with a simple request (won't actually process image without file)
+        result = process_user_input(
+            "测试视觉处理",
+            "这是一个测试",
+            config={
+                "api_key": api_key,
+                "base_url": "https://ark.cn-beijing.volces.com/api/coding/v3",
+                "model": "doubao-seed-code",
+            },
+        )
+
+        if result["status"] == "success":
+            print("✅ Integration test passed (configuration valid)")
+            return True
+        else:
+            print(f"❌ Integration test failed: {result.get('error', 'Unknown error')}")
+            return False
+
+    except Exception as e:
+        print(f"❌ Integration test failed: {e}")
+        return False
+
+
+def main():
+    """Run all tests."""
+    print("🧪 Testing Agent Vision Awareness Skill")
+    print("=" * 50)
+
+    success = True
+
+    # Test detection
+    success &= test_detection()
+
+    # Test integration (if possible)
+    success &= test_integration()
+
+    print("=" * 50)
+    if success:
+        print("✅ All tests passed!")
+    else:
+        print("⚠️  Some tests failed or were skipped.")
+
+    return success
+
+
+if __name__ == "__main__":
+    success = main()
+    sys.exit(0 if success else 1)