fix llamacloud issue #636
fix llamacloud issue #636
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WalkthroughThe changes update environment variable handling and test setup in a test script, adjust a default value in a configuration file, refactor a Python code generation script by renaming a function, removing its main entry point, and adding a new UI generation function. Additionally, a TypeScript generation script is refactored to separate datasource and UI generation modes, and a runtime dynamic import replaces a static import for a UI schema. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant generate_ui_for_workflow
participant OpenAI_LLM
participant FileSystem
User->>generate_ui_for_workflow: Invoke function
generate_ui_for_workflow->>OpenAI_LLM: Request UI code for UIEventData (gpt-4.1)
OpenAI_LLM-->>generate_ui_for_workflow: Return generated JSX code
generate_ui_for_workflow->>FileSystem: Write JSX code to component directory
generate_ui_for_workflow-->>User: UI component generated
Poem
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Other keywords and placeholders
Documentation and Community
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| ui: "shadcn", | ||
| frontend: false, | ||
| llamaCloudKey: "", | ||
| llamaCloudKey: undefined, |
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I'm just not sure if we intentionally set it to an empty string to avoid security issues?
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Actionable comments posted: 0
🔭 Outside diff range comments (1)
packages/create-llama/templates/components/vectordbs/llamaindexserver/llamacloud/python/generate.py (1)
31-54: 🛠️ Refactor suggestionImprove exception handling in generate_ui_for_workflow function
The new UI generation function is well-documented and implements a good approach using OpenAI to generate UI components. However, the exception handling could be improved.
try: from app.workflow import UIEventData # type: ignore except ImportError: - raise ImportError("Couldn't generate UI component for the current workflow.") + raise ImportError("Couldn't generate UI component for the current workflow.") from NoneThis change follows the Python best practice of using
raise ... from Nonewithin an except clause to distinguish between errors in the original code and errors in the exception handling.🧰 Tools
🪛 Ruff (0.11.9)
46-46: Within an
exceptclause, raise exceptions withraise ... from errorraise ... from Noneto distinguish them from errors in exception handling(B904)
🧹 Nitpick comments (3)
packages/create-llama/e2e/shared/llamaindexserver_template.spec.ts (1)
25-30: Consider adding comments for each use caseThe addition of the
code_generatoruse case is good. Consider adding comments for each use case to explain their purpose, which would help future maintainers understand when to use each one.packages/create-llama/templates/components/vectordbs/llamaindexserver/llamacloud/python/generate.py (2)
15-15: Remove unnecessary empty lineThis empty line seems unnecessary as it's already preceded by another empty line.
50-51: Consider making the LLM model configurableThe LLM model is hardcoded to "gpt-4.1". Consider making this configurable through an environment variable or a parameter to allow for flexibility in different environments.
- llm = OpenAI(model="gpt-4.1") + model_name = os.environ.get("UI_GENERATOR_MODEL", "gpt-4.1") + llm = OpenAI(model=model_name)Additionally, don't forget to import
osat the top of the file if you implement this change.
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📒 Files selected for processing (3)
packages/create-llama/e2e/shared/llamaindexserver_template.spec.ts(2 hunks)packages/create-llama/questions/ci.ts(1 hunks)packages/create-llama/templates/components/vectordbs/llamaindexserver/llamacloud/python/generate.py(2 hunks)
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🧬 Code Graph Analysis (1)
packages/create-llama/e2e/shared/llamaindexserver_template.spec.ts (2)
packages/create-llama/helpers/types.ts (2)
TemplateUI(30-30)TemplatePostInstallAction(42-46)packages/create-llama/e2e/utils.ts (1)
AppType(14-14)
🪛 Ruff (0.11.9)
packages/create-llama/templates/components/vectordbs/llamaindexserver/llamacloud/python/generate.py
46-46: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
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🔇 Additional comments (6)
packages/create-llama/questions/ci.ts (1)
9-9: Verify the intentional change from empty string to undefinedChanging the default for
llamaCloudKeyfrom an empty string toundefinedmight affect how the key is checked throughout the codebase. While both evaluate to falsy in conditional checks, they behave differently in type-checking and when explicitly comparing againstundefined.Based on the previous comment, were there security considerations for using an empty string that should be addressed with this change to
undefined?packages/create-llama/e2e/shared/llamaindexserver_template.spec.ts (4)
15-20: LGTM: Environment variable handling and LlamaCloud configurationGood addition of environment variable handling for
DATASOURCEwith a sensible default. The addition of LlamaCloud-specific configuration constants provides better organization and clarity.
35-36: LGTM: Simplified test skip conditionThe simplified test skip condition is clearer and aligns with your current test requirements.
38-38: LGTM: Flag for LlamaCloud parsingGood addition of the
useLlamaParseflag based on the data source type.
60-63: LGTM: Additional parameters for runCreateLlamaGood addition of LlamaCloud-specific parameters to the function call.
packages/create-llama/templates/components/vectordbs/llamaindexserver/llamacloud/python/generate.py (1)
20-29: LGTM: Improved function nameRenaming from
generate_datasource()togenerate_index()makes the function name more accurately represent its purpose, as it's generating an index rather than a data source.
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Actionable comments posted: 0
🔭 Outside diff range comments (1)
packages/create-llama/templates/components/vectordbs/llamaindexserver/llamacloud/typescript/generate.ts (1)
92-101:⚠️ Potential issueRemove duplicate initialization call.
There's a duplicate call to
initSettings()- it's called both in the main IIFE (line 124) and inside thegenerateDatasource()function (line 95). Since it's already called in the main IIFE before either function is invoked, the call insidegenerateDatasource()is redundant.async function generateDatasource() { try { checkRequiredEnvVars(); - initSettings(); await loadAndIndex(); console.log("Finished generating storage."); } catch (error) { console.error("Error generating storage.", error); } }Also applies to: 124-124
🧹 Nitpick comments (3)
packages/create-llama/templates/types/llamaindexserver/nextjs/src/generate.ts (1)
32-39: Improved error handling with dynamic import - LGTM!Good change replacing a static import with a dynamic import of the workflow module. This provides better runtime flexibility and explicit error handling if the schema is missing.
Consider using a more type-safe approach instead of casting to
any:- const UIEventSchema = (workflowModule as any).UIEventSchema; + const UIEventSchema = 'UIEventSchema' in workflowModule ? workflowModule.UIEventSchema : undefined;packages/create-llama/templates/components/vectordbs/llamaindexserver/llamacloud/typescript/generate.ts (2)
103-118: Strong implementation of UI generation.The UI generation implementation follows the same pattern as in the other file, providing consistent error handling and dynamic module loading. The use of the OpenAI model with gpt-4.1 aligns with the settings initialization shown in the relevant code snippet.
Consider adding error handling similar to the
generateDatasourcefunction:async function generateUi() { + try { // Also works well with Claude 3.5 Sonnet and Google Gemini 2.5 Pro const llm = new OpenAI({ model: "gpt-4.1" }); const workflowModule = await import("./app/workflow"); const UIEventSchema = (workflowModule as any).UIEventSchema; if (!UIEventSchema) { throw new Error( "To generate the UI, you must define a UIEventSchema in your workflow.", ); } const generatedCode = await generateEventComponent(UIEventSchema, llm); // Write the generated code to components/ui_event.ts await fs.writeFile("components/ui_event.jsx", generatedCode); + console.log("Finished generating UI component."); + } catch (error) { + console.error("Error generating UI component.", error); + } }
116-117: Inconsistency between file extension in comment and actual code.There's a slight inconsistency between the comment mentioning
components/ui_event.tsand the actual file being written ascomponents/ui_event.jsx.- // Write the generated code to components/ui_event.ts + // Write the generated code to components/ui_event.jsx await fs.writeFile("components/ui_event.jsx", generatedCode);
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📒 Files selected for processing (2)
packages/create-llama/templates/components/vectordbs/llamaindexserver/llamacloud/typescript/generate.ts(3 hunks)packages/create-llama/templates/types/llamaindexserver/nextjs/src/generate.ts(1 hunks)
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🧬 Code Graph Analysis (1)
packages/create-llama/templates/components/vectordbs/llamaindexserver/llamacloud/typescript/generate.ts (1)
packages/create-llama/templates/types/llamaindexserver/nextjs/src/app/settings.ts (1)
initSettings(4-11)
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🔇 Additional comments (1)
packages/create-llama/templates/components/vectordbs/llamaindexserver/llamacloud/typescript/generate.ts (1)
92-101: Well-structured refactoring to support multiple generation modes.The code has been effectively refactored to support distinct datasource and UI generation modes with a clear command-line interface. This modular structure improves maintainability and makes the script's capabilities more explicit.
Also applies to: 103-118, 120-136
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