chore: bump llama_index version for fastapi template #156
Conversation
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WalkthroughThe recent changes introduce a support feature for LlamaCloud indexes within the FastAPI application. This includes the addition of a Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant FastAPI
participant LlamaCloudIndex
participant VectorStore
User->>FastAPI: Request to get an index
FastAPI->>FastAPI: Check USE_LLAMA_CLOUD variable
alt LlamaCloud enabled
FastAPI->>LlamaCloudIndex: Create LlamaCloud index using get_llama_cloud_index()
LlamaCloudIndex-->>FastAPI: LlamaCloud index instance
else LlamaCloud disabled
FastAPI->>VectorStore: Create VectorStore index
VectorStore -->> FastAPI: VectorStore index instance
end
FastAPI-->>User: Return index instance
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Actionable comments posted: 0
Outside diff range and nitpick comments (4)
templates/types/streaming/fastapi/app/engine/index.py (2)
11-21: Improve configuration management and error message clarity.Consider using a configuration management library like
pydanticordynaconffor handling environment variables. This can provide better validation and default value management. Also, clarify the error message to guide the user on how to set the environment variables.# Consider using pydantic for configuration management from pydantic import BaseSettings class Settings(BaseSettings): llama_cloud_index_name: str llama_cloud_project_name: str llama_cloud_api_key: str llama_cloud_base_url: str = None class Config: env_prefix = 'LLAMA_CLOUD_' settings = Settings() # Use settings in the function def get_llama_cloud_index(): if not settings.llama_cloud_index_name or not settings.llama_cloud_project_name or not settings.llama_cloud_api_key: raise ValueError( "LLAMA_CLOUD_INDEX_NAME, LLAMA_CLOUD_PROJECT_NAME, and LLAMA_CLOUD_API_KEY are required environment variables." ) index = LlamaCloudIndex( name=settings.llama_cloud_index_name, project_name=settings.llama_cloud_project_name, api_key=settings.llama_cloud_api_key, base_url=settings.llama_cloud_base_url, ) return index
32-45: Improve configuration management.Consider using a configuration management library like
pydanticordynaconffor handling environment variables. This can provide better validation and default value management.# Use settings in the function def get_index(): use_llama_cloud = settings.use_llama_cloud.lower() == "true" if use_llama_cloud: logger.info("Connecting to LlamaCloud...") return get_llama_cloud_index() else: logger.info("Connecting vector store...") store = get_vector_store() index = VectorStoreIndex.from_vector_store(store) logger.info("Finished load index from vector store.") return indextemplates/components/vectordbs/python/none/index.py (2)
13-23: Improve configuration management and error message clarity.Consider using a configuration management library like
pydanticordynaconffor handling environment variables. This can provide better validation and default value management. Also, clarify the error message to guide the user on how to set the environment variables.# Consider using pydantic for configuration management from pydantic import BaseSettings class Settings(BaseSettings): llama_cloud_index_name: str llama_cloud_project_name: str llama_cloud_api_key: str llama_cloud_base_url: str = None class Config: env_prefix = 'LLAMA_CLOUD_' settings = Settings() # Use settings in the function def get_llama_cloud_index(): if not settings.llama_cloud_index_name or not settings.llama_cloud_project_name or not settings.llama_cloud_api_key: raise ValueError( "LLAMA_CLOUD_INDEX_NAME, LLAMA_CLOUD_PROJECT_NAME, and LLAMA_CLOUD_API_KEY are required environment variables." ) index = LlamaCloudIndex( name=settings.llama_cloud_index_name, project_name=settings.llama_cloud_project_name, api_key=settings.llama_cloud_api_key, base_url=settings.llama_cloud_base_url, ) return index
43-47: Improve configuration management.Consider using a configuration management library like
pydanticordynaconffor handling environment variables. This can provide better validation and default value management.# Use settings in the function def get_index(): use_llama_cloud = settings.use_llama_cloud.lower() == "true" if use_llama_cloud: logger.info("Connecting to LlamaCloud...") return get_llama_cloud_index() else: storage_dir = settings.storage_dir # check if storage already exists if not os.path.exists(storage_dir): return None # load the existing index logger.info(f"Loading index from {storage_dir}...") storage_context = get_storage_context(storage_dir) index = load_index_from_storage(storage_context) logger.info(f"Finished loading index from {storage_dir}") return index
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Files selected for processing (3)
- templates/components/vectordbs/python/none/index.py (2 hunks)
- templates/types/streaming/fastapi/app/engine/index.py (1 hunks)
- templates/types/streaming/fastapi/pyproject.toml (1 hunks)
Files skipped from review due to trivial changes (1)
- templates/types/streaming/fastapi/pyproject.toml
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Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (1)
- templates/types/streaming/fastapi/pyproject.toml (1 hunks)
Files skipped from review due to trivial changes (1)
- templates/types/streaming/fastapi/pyproject.toml
Summary by CodeRabbit
New Features
Improvements
llama-indexandllama-index-coredependencies to versions0.10.52and0.10.52.post1, respectively, improving compatibility and performance.Configuration