[Question]: 执行用例example.py和basic_usage.py的问题

[l2002924700]

Your Question

你好，我想提取一段记忆，但是始终不成功，没有办法，只好反过来尝试example.py和basic_usage.py的执行。我的版本是0.3.8，因为0.3.8有bug，不能使用local模式，只能使用http模式，执行之后，分别得到如下结果：

python basic_usage.py

============================================================
OpenViking Basic Usage Example

1. Initializing OpenViking...

---

16:56:08 - LiteLLM:WARNING: get_model_cost_map.py:271 - LiteLLM: Failed to fetch remote model cost map from https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1010). Falling back to local backup.
2026-04-17 16:56:09,653 - openviking.pyagfs - INFO - Loaded RAGFS Rust binding
2026-04-17 16:56:09,665 - openviking.utils.agfs_utils - WARNING - [RAGFS] Using Rust binding (ragfs-python)
2026-04-17 16:56:09,666 - openviking.storage.queuefs.queue_manager - INFO - [QueueManager] Initialized with agfs=RAGFSBindingClient, mount_point=/queue
2026-04-17 16:56:09,666 - openviking.storage.viking_vector_index_backend - INFO - VikingVectorIndexBackend facade initialized
2026-04-17 16:56:09,687 - openviking.storage.queuefs.queue_manager - INFO - Embedding queue initialized with TextEmbeddingHandler
2026-04-17 16:56:09,688 - openviking.storage.queuefs.queue_manager - INFO - Semantic queue initialized with SemanticProcessor
2026-04-17 16:56:09,706 - openviking.service.core - INFO - Initialized embedder (dim 1024, sparse False)
2026-04-17 16:56:09,708 - openviking.crypto.config - INFO - Encryption is disabled
2026-04-17 16:56:09,708 - openviking.service.core - INFO - Encryption module not enabled
2026-04-17 16:56:09,708 - openviking.storage.viking_vector_index_backend - INFO - _SingleAccountBackend initialized (bound_account_id=default, mode=local)
2026-04-17 16:56:09,720 - openviking.storage.queuefs.queue_manager - INFO - [QueueManager] Started
2026-04-17 16:56:09,720 - openviking.service.core - INFO - QueueManager workers started
2026-04-17 16:56:09,720 - openviking.service.core - INFO - Initialized preset directories account=0 user=0
2026-04-17 16:56:09,739 - openviking.session - INFO - Using v2 memory compressor (templating system)
2026-04-17 16:56:09,740 - openviking.service.core - INFO - LockManager started
2026-04-17 16:56:09,740 - openviking.resource.watch_manager - INFO - [WatchManager] Loaded 0 tasks from storage
2026-04-17 16:56:09,740 - openviking.resource.watch_manager - INFO - [WatchManager] Initialized with 0 tasks
2026-04-17 16:56:09,740 - openviking.resource.watch_scheduler - INFO - [WatchScheduler] WatchManager initialized
2026-04-17 16:56:09,740 - openviking.resource.watch_scheduler - INFO - [WatchScheduler] Started with check interval 60.0s
2026-04-17 16:56:09,740 - openviking.service.core - INFO - WatchScheduler started
2026-04-17 16:56:09,740 - openviking.service.core - INFO - OpenVikingService initialized
2026-04-17 16:56:09,740 - openviking.resource.watch_scheduler - INFO - [WatchScheduler] Scheduler loop started
Client initialized successfully
Status: healthy

2. Adding a resource (URL)...

---

2026-04-17 16:56:09,809 - openviking.telemetry.execution - INFO - Telemetry summary (id=tm_c3de6d9b968e458191914e49a1913460): {'operation': 'resources.add_resource', 'status': 'ok', 'duration_ms': 36.808, 'resource': {'request': {'duration_ms': 36.765}, 'process': {'duration_ms': 36.716}, 'flags': {'wait': False, 'build_index': True, 'summarize': False, 'watch_enabled': False}}}
Root URI:
Files indexed: 4

3. Browsing the virtual filesystem...

---

4. Waiting for semantic processing...

---

Processing complete: {'Embedding': {'processed': 0, 'requeue_count': 0, 'error_count': 0, 'errors': []}, 'Semantic': {'processed': 0, 'requeue_count': 0, 'error_count': 0, 'errors': []}}

5. Tiered Context Loading (L0/L1/L2):

---

6. Semantic Search:

---

7. Content search (grep):

---

8. Session Management (Demo):

---

2026-04-17 16:56:09,810 - openviking.session.session - INFO - Session created: 02b24b3e-5d44-4d92-8455-695255ed6b6a for user default:default:default
Created session: 02b24b3e-5d44-4d92-8455-695255ed6b6a
2026-04-17 16:56:09,811 - openviking.session.session - INFO - Session created: 02b24b3e-5d44-4d92-8455-695255ed6b6a for user default:default:default
2026-04-17 16:56:09,811 - openviking.session.session - INFO - Session loaded: 02b24b3e-5d44-4d92-8455-695255ed6b6a (0 messages)
2026-04-17 16:56:09,814 - openviking.session.session - INFO - Session created: 02b24b3e-5d44-4d92-8455-695255ed6b6a for user default:default:default
2026-04-17 16:56:09,814 - openviking.session.session - INFO - Session loaded: 02b24b3e-5d44-4d92-8455-695255ed6b6a (1 messages)
Added conversation turn
(Session would be committed at conversation end)

9. Closing OpenViking...

---

2026-04-17 16:56:09,816 - openviking.resource.watch_scheduler - INFO - [WatchScheduler] Scheduler loop ended
2026-04-17 16:56:09,816 - openviking.resource.watch_scheduler - INFO - [WatchScheduler] WatchManager cleaned up
2026-04-17 16:56:09,816 - openviking.resource.watch_scheduler - INFO - [WatchScheduler] Stopped
2026-04-17 16:56:09,816 - openviking.service.core - INFO - WatchScheduler stopped
2026-04-17 16:56:09,922 - openviking.storage.queuefs.queue_manager - INFO - [QueueManager] Stopped
2026-04-17 16:56:09,922 - openviking.service.core - INFO - Queue manager stopped
2026-04-17 16:56:09,923 - openviking.storage.viking_vector_index_backend - INFO - _SingleAccountBackend closed
2026-04-17 16:56:09,923 - openviking.storage.viking_vector_index_backend - INFO - VikingVectorIndexBackend facade closed
2026-04-17 16:56:09,923 - openviking.service.core - INFO - OpenVikingService closed
Done!

============================================================
Example completed successfully!

python example.py

Error: 'root_uri'

这个结果正常吗？
我的配置文件如下：

{
"server": {
"host": "127.0.0.1",
"port": 1933,
"root_api_key": null,
"cors_origins": ["*"]
},
"storage": {
"workspace": "/home/OpenViking/data",
"vectordb": {
"name": "context",
"backend": "local",
"project": "default",
"volcengine": {
"region": "cn-beijing",
"ak": null,
"sk": null
}
},
"agfs": {
"timeout": 10,
"s3": {
"bucket": null,
"region": null,
"access_key": null,
"secret_key": null,
"endpoint": null,
"prefix": "",
"use_ssl": true
}
}
},
"memory":{ "version":"v2" },
"embedding": {
"dense": {
"provider": "ollama",
"model": "Qwen3-Embedding-4B-Q4_K_M:latest",
"api_base": "http://localhost:11434/v1",
"dimension": 1024,
"input": "text"
}
},
"vlm": {
"model": "qwen3-vl:8b-instruct",
"api_key": "ollama",
"api_base": "http://localhost:11434/v1",
"temperature": 0.0,
"max_retries": 2,
"provider": "openai",
"thinking": false
},
"log": {
"level": "INFO",
"output": "stdout"
}
}

如果，有问题，请问这个问题该怎么解决？

Context

No response

Code Example (Optional)

Related Area

None

Before Asking

• I have checked the documentation

[sponge225]

• example.py 里报 Error: 'root_uri' ，看起来不是用法问题，更像是 add_resource() 返回结果异常。
• 按当前代码逻辑，资源导入成功后结果里应该包含 root_uri ；如果没有，一般说明导入流程前面某一步已经失败了，只是 example.py 直接取 add_result['root_uri'] ，把真正错误信息遮住了。
• basic_usage.py 之所以没有直接报错，是因为它用了 result.get("root_uri", "") ，所以会把同样的问题表现成“ Root URI 为空、后续结果也基本为空”，看起来像跑通了，其实并没有真正完成资源导入