| |
| """ |
| 快速启动脚本 - 测试整个系统 |
| """ |
|
|
| import os |
| import sys |
| import json |
| from pathlib import Path |
|
|
| |
| SCRIPT_DIR = Path(__file__).parent |
| REPO_ROOT = SCRIPT_DIR.parent |
| sys.path.insert(0, str(REPO_ROOT)) |
|
|
| from tools.asset_description_manager import AssetDescriptionManager |
| from tools.asset_finder import AssetFinder |
|
|
|
|
| def test_cache_manager(): |
| """测试缓存管理器""" |
| print("="*60) |
| print("TEST 1: Asset Description Manager") |
| print("="*60) |
| |
| manager = AssetDescriptionManager() |
| |
| |
| test_uid = "test_model_uid_001" |
| test_desc = "A beautiful wooden chair with armrests and cushion" |
| |
| print(f"✓ Created manager at: {manager.cache_file}") |
| |
| |
| if test_uid in manager.cache: |
| del manager.cache[test_uid] |
| manager._save_cache() |
| |
| print(f"\n1. Saving description...") |
| manager.set_description(test_uid, test_desc, category="chair") |
| print(f" ✓ Saved: {test_desc}") |
| |
| print(f"\n2. Reading description...") |
| retrieved_desc = manager.get_description(test_uid) |
| assert retrieved_desc == test_desc, "Description mismatch!" |
| print(f" ✓ Retrieved: {retrieved_desc}") |
| |
| print(f"\n3. Checking if exists...") |
| exists = manager.has_description(test_uid) |
| assert exists, "Should exist!" |
| print(f" ✓ Exists: {exists}") |
| |
| print(f"\n4. Stats...") |
| stats = manager.get_stats() |
| print(f" ✓ Total cached: {stats['total_assets']}") |
| print(f" ✓ Cache file: {stats['cache_file']}") |
| |
| print("\n✓ Cache manager test PASSED\n") |
|
|
|
|
| def test_asset_finder(): |
| """测试资产查找器""" |
| print("="*60) |
| print("TEST 2: Asset Finder") |
| print("="*60) |
| |
| asset_lib = "/home/v-meiszhang/amlt-project/InternScenes/data/asset_library" |
| |
| if not os.path.exists(asset_lib): |
| print(f"✗ Asset library not found: {asset_lib}") |
| print(" Skipping this test") |
| return |
| |
| finder = AssetFinder(asset_lib) |
| print(f"✓ Created finder for: {asset_lib}") |
| |
| |
| test_cases = [ |
| "hssd-models/objects/8/8046bdb393aa1e9257f1e0611c91f89f28f37355", |
| "partnet_mobility/7290", |
| ] |
| |
| print(f"\nTesting asset lookup:") |
| for uid in test_cases: |
| print(f"\n Searching for: {uid}") |
| info = finder.find_asset_info(uid) |
| print(f" Found: {info['found']}") |
| if info['found']: |
| print(f" GLB: {os.path.basename(info['glb_path'])}") |
| print(f" Category: {info['category']}") |
| |
| print("\n✓ Asset finder test PASSED\n") |
|
|
|
|
| def test_layout_structure(): |
| """测试layout文件结构""" |
| print("="*60) |
| print("TEST 3: Layout File Structure") |
| print("="*60) |
| |
| layout_file = "/home/v-meiszhang/amlt-project/InternScenes/data/Layout_info/scannet/scene0000_01/layout_with_boundary.json" |
| |
| if not os.path.exists(layout_file): |
| print(f"✗ Layout file not found: {layout_file}") |
| return |
| |
| print(f"✓ Found layout file: {layout_file}") |
| |
| with open(layout_file, 'r') as f: |
| layout = json.load(f) |
| |
| print(f"\n1. Layout structure:") |
| print(f" ✓ Has 'instances': {'instances' in layout}") |
| |
| if "instances" in layout: |
| num_instances = len(layout["instances"]) |
| print(f" ✓ Number of instances: {num_instances}") |
| |
| |
| model_uids = set() |
| for inst in layout["instances"]: |
| if "model_uid" in inst: |
| model_uids.add(inst["model_uid"]) |
| |
| print(f" ✓ Unique model UIDs: {len(model_uids)}") |
| |
| |
| print(f"\n2. Sample instance:") |
| if layout["instances"]: |
| sample = layout["instances"][0] |
| for key, value in sample.items(): |
| if key != "pos" and key != "rot" and key != "size": |
| print(f" {key}: {value}") |
| |
| |
| has_desc = any("description" in inst for inst in layout["instances"]) |
| print(f"\n3. Current status:") |
| print(f" ✓ Already has description field: {has_desc}") |
| |
| print("\n✓ Layout structure test PASSED\n") |
|
|
|
|
| def test_gpt_setup(): |
| """测试Azure OpenAI API设置""" |
| print("="*60) |
| print("TEST 4: Azure GPT API Setup") |
| print("="*60) |
| |
| try: |
| from openai import AzureOpenAI |
| from azure.identity import ChainedTokenCredential, AzureCliCredential, ManagedIdentityCredential, get_bearer_token_provider |
| print("✓ Azure OpenAI packages are installed") |
| |
| |
| try: |
| scope = "api://trapi/.default" |
| credential = get_bearer_token_provider(ChainedTokenCredential( |
| AzureCliCredential(), |
| ManagedIdentityCredential(), |
| ), scope) |
| |
| api_version = '2024-12-01-preview' |
| deployment_name = 'gpt-4o_2024-11-20' |
| instance = 'msra/shared' |
| endpoint = f'https://trapi.research.microsoft.com/{instance}' |
| |
| client = AzureOpenAI( |
| azure_endpoint=endpoint, |
| azure_ad_token_provider=credential, |
| api_version=api_version, |
| ) |
| print("✓ Azure OpenAI client created successfully") |
| |
| |
| print("\nTesting API connection...") |
| response = client.chat.completions.create( |
| model=deployment_name, |
| messages=[ |
| {"role": "user", "content": "Say 'test' in one word."} |
| ], |
| max_tokens=10 |
| ) |
| print(f"✓ API Response: {response.choices[0].message.content}") |
| print("✓ Azure OpenAI API is working!") |
| |
| except Exception as e: |
| print(f"⚠ Failed to initialize Azure OpenAI client: {e}") |
| print(" Make sure you are logged in with: az login") |
| |
| except ImportError as e: |
| print("✗ Azure OpenAI packages not installed") |
| print(f" Error: {e}") |
| print(" Install with: pip install openai azure-identity") |
| except Exception as e: |
| print(f"✗ Error: {e}") |
| |
| print() |
|
|
|
|
| def test_render_script(): |
| """测试render_to_image.py""" |
| print("="*60) |
| print("TEST 5: Render Script Availability") |
| print("="*60) |
| |
| render_script = Path(__file__).parent.parent / "render_to_image.py" |
| |
| if render_script.exists(): |
| print(f"✓ Found render script: {render_script}") |
| |
| |
| try: |
| with open(render_script, 'r') as f: |
| content = f.read(100) |
| print(f"✓ Script is readable") |
| except Exception as e: |
| print(f"✗ Cannot read script: {e}") |
| else: |
| print(f"✗ render_to_image.py not found at: {render_script}") |
| |
| print() |
|
|
|
|
| def main(): |
| print("\n" + "="*60) |
| print("ASSET DESCRIPTION SYSTEM - QUICK START TEST") |
| print("="*60 + "\n") |
| |
| try: |
| test_cache_manager() |
| test_asset_finder() |
| test_layout_structure() |
| test_gpt_setup() |
| test_render_script() |
| |
| print("="*60) |
| print("ALL TESTS COMPLETED") |
| print("="*60) |
| print("\nNext steps:") |
| print("1. Make sure you are logged in with: az login") |
| print("2. Run: python tools/process_asset_descriptions.py --dry-run") |
| print("3. Then: python tools/process_asset_descriptions.py") |
| print() |
| |
| except Exception as e: |
| print(f"\n✗ Test failed with error: {e}") |
| import traceback |
| traceback.print_exc() |
| sys.exit(1) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|