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[Components] limitless_ai #17139 #17242
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The latest updates on your projects. Learn more about Vercel for Git ↗︎ 3 Skipped Deployments
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WalkthroughTwo new action modules, "Get Lifelog" and "Get Lifelogs," were added for retrieving individual or multiple lifelog entries from the Limitless AI app. The app module was expanded with structured property definitions and API interaction methods. A constants module was introduced, and the package manifest was updated with a dependency and syntax correction. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant ActionModule as Get Lifelog(s) Action
participant AppModule as Limitless AI App
participant API as Limitless AI API
User->>ActionModule: Trigger action with parameters
ActionModule->>AppModule: Call getLifelog(s) with params
AppModule->>API: Make HTTP request to lifelog endpoint
API-->>AppModule: Return lifelog data
AppModule-->>ActionModule: Return lifelog data
ActionModule-->>User: Output lifelog data
Poem
Warning There were issues while running some tools. Please review the errors and either fix the tool's configuration or disable the tool if it's a critical failure. 🔧 ESLint
components/limitless_ai/actions/get-lifelogs/get-lifelogs.mjsOops! Something went wrong! :( ESLint: 8.57.1 Error [ERR_MODULE_NOT_FOUND]: Cannot find package 'jsonc-eslint-parser' imported from /eslint.config.mjs components/limitless_ai/common/constants.mjsOops! Something went wrong! :( ESLint: 8.57.1 Error [ERR_MODULE_NOT_FOUND]: Cannot find package 'jsonc-eslint-parser' imported from /eslint.config.mjs components/limitless_ai/actions/get-lifelog/get-lifelog.mjsOops! Something went wrong! :( ESLint: 8.57.1 Error [ERR_MODULE_NOT_FOUND]: Cannot find package 'jsonc-eslint-parser' imported from /eslint.config.mjs
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Actionable comments posted: 0
🧹 Nitpick comments (1)
components/limitless_ai/limitless_ai.app.mjs (1)
62-67
: Consider changing limit property type to integer.The
limit
property is currently typed as "string" but conceptually represents a numeric limit for the maximum number of results. Consider changing it to "integer" for better type safety and clarity.limit: { - type: "string", + type: "integer", label: "Limit", description: "Maximum number of results to return", optional: true, },
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Review profile: CHILL
Plan: Pro
⛔ Files ignored due to path filters (1)
pnpm-lock.yaml
is excluded by!**/pnpm-lock.yaml
📒 Files selected for processing (5)
components/limitless_ai/actions/get-lifelog/get-lifelog.mjs
(1 hunks)components/limitless_ai/actions/get-lifelogs/get-lifelogs.mjs
(1 hunks)components/limitless_ai/common/constants.mjs
(1 hunks)components/limitless_ai/limitless_ai.app.mjs
(1 hunks)components/limitless_ai/package.json
(1 hunks)
⏰ Context from checks skipped due to timeout of 90000ms (4)
- GitHub Check: pnpm publish
- GitHub Check: Lint Code Base
- GitHub Check: Publish TypeScript components
- GitHub Check: Verify TypeScript components
🔇 Additional comments (6)
components/limitless_ai/common/constants.mjs (1)
1-6
: LGTM! Clean constants definition.The constants module is well-structured and provides a centralized location for direction options that can be reused across the component.
components/limitless_ai/package.json (1)
14-17
: Good syntax fix and dependency addition.The comma addition fixes the JSON syntax, and the @pipedream/platform dependency supports the axios import used in the main app component.
What is the latest version of @pipedream/platform package and are there any known security vulnerabilities?
components/limitless_ai/actions/get-lifelogs/get-lifelogs.mjs (1)
1-91
: Well-structured action implementation.The action follows Pipedream conventions properly with:
- Consistent use of propDefinitions for all parameters
- Proper async/await pattern in the run method
- Comprehensive parameter passing to the app method
- Appropriate response handling and summary export
components/limitless_ai/actions/get-lifelog/get-lifelog.mjs (1)
1-42
: Consistent single lifelog retrieval implementation.The action properly implements single lifelog retrieval with:
- Appropriate parameter selection for the use case
- Consistent structure with the get-lifelogs action
- Proper error handling delegation to the app method
- Clear summary message generation
components/limitless_ai/limitless_ai.app.mjs (2)
1-73
: Well-structured app component with comprehensive propDefinitions.The app component provides a solid foundation with:
- Comprehensive property definitions with clear descriptions
- Proper import of platform dependencies and constants
- Good separation of concerns between prop definitions and methods
74-108
: Solid API interaction methods implementation.The methods provide clean abstractions for API communication:
- Private
_baseUrl
and_makeRequest
methods for common functionality- Proper authentication header injection
- Clean separation between generic request handling and specific API endpoints
- Appropriate parameter destructuring in
getLifelog
method
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Hi @lcaresia, LGTM! Ready for QA!
WHY
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