[Components] fal_ai - New action components #14545
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WalkthroughThis pull request introduces several new action components to the Changes
Assessment against linked issues
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Actionable comments posted: 8
🧹 Outside diff range and nitpick comments (7)
components/fal_ai/actions/cancel-request/cancel-request.mjs (1)
9-23: Consider adding validation for requestId.While the props are well-structured, consider adding validation to ensure the requestId exists before attempting cancellation. This could prevent unnecessary API calls for non-existent requests.
requestId: { propDefinition: [ app, "requestId", ], + validate: (value) => { + if (!value?.trim()) { + throw new Error("Request ID is required for cancellation"); + } + return value; + }, },components/fal_ai/actions/get-request-response/get-request-response.mjs (1)
34-50: Enhance response handling and success messageThe current implementation could benefit from:
- More informative success messages including request details
- Response data validation before returning
Here's a suggested improvement:
async run({ $ }) { const { getRequestResponse, appId, requestId, } = this; + let response; + try { const response = await getRequestResponse({ $, appId, requestId, }); + + // Validate response structure + if (!response || typeof response !== 'object') { + throw new Error('Invalid response format received'); + } + + $.export("$summary", `Successfully retrieved response for request ${requestId} from app ${appId}`); + return response; + } catch (error) { + $.export("$summary", `Failed to retrieve response: ${error.message}`); + throw error; + } - $.export("$summary", "Successfully retrieved the request response."); - return response; },components/fal_ai/actions/get-request-status/get-request-status.mjs (2)
30-39: Consider adding input validation and explicit error handling.While the method implementation is functional, it could be more robust with:
- Input validation for required parameters
- Explicit error handling for common failure scenarios
Consider this enhancement:
methods: { getRequestStatus({ appId, requestId, ...args } = {}) { + if (!appId || !requestId) { + throw new Error('Both appId and requestId are required parameters'); + } return this.app._makeRequest({ path: `/${appId}/requests/${requestId}/status`, ...args, + }).catch(error => { + if (error.response?.status === 404) { + throw new Error(`Request ${requestId} not found for app ${appId}`); + } + throw error; }); }, },
59-59: Enhance the summary message with status details.The summary message could be more informative by including the actual status from the response.
Consider this enhancement:
- $.export("$summary", `Successfully retrieved status for request ID \`${response.request_id}\`.`); + $.export("$summary", `Request ID \`${response.request_id}\` status: \`${response.status}\`.`);components/fal_ai/fal_ai.app.mjs (2)
7-29: Consider generalizing the appId description.The property definitions are well-structured, but the appId description could be more generic to avoid confusion.
- description: "The unique identifier for the app. Eg. `lora`.", + description: "The unique identifier for your fal.ai application.",
31-40: Consider extracting the base URL as a constant.For better maintainability and reusability, the base URL should be defined as a constant at the top of the file.
import { axios } from "@pipedream/platform"; + +const BASE_URL = "https://queue.fal.run/fal-ai"; export default { // ... methods: { getUrl(path) { - return `https://queue.fal.run/fal-ai${path}`; + return `${BASE_URL}${path}`; },components/fal_ai/actions/add-request-to-queue/add-request-to-queue.mjs (1)
17-25: Consider removing or generalizing the default data configuration.The current default configuration is specific to a stable-diffusion use case. This might be misleading for users implementing different fal.ai models or workflows.
Consider this more generic default:
default: { - model_name: "stabilityai/stable-diffusion-xl-base-1.0", - prompt: "Photo of a european medieval 40 year old queen, silver hair, highly detailed face, detailed eyes, head shot, intricate crown, age spots, wrinkles", + model_name: "", + prompt: "" },
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📒 Files selected for processing (6)
components/fal_ai/actions/add-request-to-queue/add-request-to-queue.mjs(1 hunks)components/fal_ai/actions/cancel-request/cancel-request.mjs(1 hunks)components/fal_ai/actions/get-request-response/get-request-response.mjs(1 hunks)components/fal_ai/actions/get-request-status/get-request-status.mjs(1 hunks)components/fal_ai/fal_ai.app.mjs(1 hunks)components/fal_ai/package.json(2 hunks)
🔇 Additional comments (11)
components/fal_ai/package.json (2)
3-3: Version bump follows semantic versioning.
The version increment from 0.0.1 to 0.1.0 appropriately reflects the addition of new action components as a minor feature release.
15-17: Dependencies are properly configured.
The addition of @pipedream/platform as a dependency is correct and necessary for implementing the HTTP requests required by the new action components.
Let's verify the dependency version is consistent with other components:
✅ Verification successful
Based on the results, I can now generate the final response since I have enough information to verify the dependency version consistency.
@pipedream/platform version 3.0.3 is consistent with several recently updated components
The version 3.0.3 used in fal_ai's package.json matches the version used in other recently updated components like:
- moaform
- hullo
- vida
- zenventory
- wrike
and several others.
While there are components using older versions (1.x, 2.x), this appears to be due to gradual migration rather than inconsistency, as newer and recently updated components consistently use version 3.0.3.
🏁 Scripts executed
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Script:
#!/bin/bash
# Description: Check @pipedream/platform versions across components
# Expected: Version 3.0.3 should be commonly used
# Search for @pipedream/platform dependency versions in other components
fd package.json --exec grep -l "@pipedream/platform" {} | xargs grep -A 1 "@pipedream/platform"
Length of output: 158915
components/fal_ai/actions/cancel-request/cancel-request.mjs (2)
1-8: LGTM! Well-structured component metadata.
The component follows best practices with clear naming, descriptive explanation, and proper versioning.
1-50: Verify integration with fal_ai app component.
Let's verify the implementation of the put method in the app component and ensure consistent error handling across all fal_ai components.
components/fal_ai/actions/get-request-response/get-request-response.mjs (1)
1-8: LGTM: Well-structured action metadata
The action metadata is well-defined with clear naming, description, and appropriate versioning for a new component.
components/fal_ai/actions/get-request-status/get-request-status.mjs (2)
1-8: LGTM! Component metadata is well-structured.
The component metadata is clear, descriptive, and follows proper naming conventions.
9-29: LGTM! Props are well-defined and consistent.
The props definition is complete and aligns with the component's purpose. All necessary fields for request status retrieval are included.
components/fal_ai/fal_ai.app.mjs (2)
1-6: LGTM: Import and app structure are well-defined.
The import of axios and basic app structure follow Pipedream's best practices.
31-33: Verify the API endpoint with fal.ai documentation.
Please ensure that queue.fal.run is the correct API endpoint for fal.ai's queue service.
components/fal_ai/actions/add-request-to-queue/add-request-to-queue.mjs (2)
1-8: LGTM! Clear metadata and proper versioning.
The module setup follows best practices with clear naming, descriptive documentation, and appropriate initial versioning.
17-25: Add input validation for the data object structure.
The data prop accepts any object structure without validation. This could lead to runtime errors if required fields are missing or malformed.
Consider adding schema validation. Let me check if there's a validation pattern used in other components:
components/fal_ai/actions/get-request-response/get-request-response.mjs
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Actionable comments posted: 2
🧹 Outside diff range and nitpick comments (3)
components/fal_ai/actions/get-request-status/get-request-status.mjs (1)
52-56: Consider more explicit boolean conversion for logs parameter.The current implementation converts the boolean to 1 or undefined. While functional, consider using explicit boolean values for better clarity.
- logs: logs - ? 1 - : undefined, + logs: Boolean(logs),components/fal_ai/fal_ai.app.mjs (2)
6-29: Consider clarifying the appId description format.The description uses backticks around the example (
lora), which might be confusing as it's not clear if the backticks should be included in the actual value.- description: "The unique identifier for the app. Eg. `lora`.", + description: "The unique identifier for the app. Example: lora",
31-33: Consider making the base URL configurable.The base URL is currently hardcoded. Consider moving it to a configuration property or environment variable to make it more maintainable and flexible for different environments.
+ propDefinitions: { + baseUrl: { + type: "string", + label: "API Base URL", + description: "The base URL for the fal.ai API", + default: "https://queue.fal.run/fal-ai", + }, + }, methods: { getUrl(path) { - return `https://queue.fal.run/fal-ai${path}`; + return `${this.$auth.baseUrl || "https://queue.fal.run/fal-ai"}${path}`; },
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⛔ Files ignored due to path filters (1)
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📒 Files selected for processing (6)
components/fal_ai/actions/add-request-to-queue/add-request-to-queue.mjs(1 hunks)components/fal_ai/actions/cancel-request/cancel-request.mjs(1 hunks)components/fal_ai/actions/get-request-response/get-request-response.mjs(1 hunks)components/fal_ai/actions/get-request-status/get-request-status.mjs(1 hunks)components/fal_ai/fal_ai.app.mjs(1 hunks)components/fal_ai/package.json(2 hunks)
🚧 Files skipped from review as they are similar to previous changes (4)
- components/fal_ai/actions/add-request-to-queue/add-request-to-queue.mjs
- components/fal_ai/actions/cancel-request/cancel-request.mjs
- components/fal_ai/actions/get-request-response/get-request-response.mjs
- components/fal_ai/package.json
🔇 Additional comments (4)
components/fal_ai/actions/get-request-status/get-request-status.mjs (3)
1-8: LGTM! Clear and well-structured component metadata.
The component metadata is well-defined with appropriate versioning and clear description.
9-29: LGTM! Props are well-structured and complete.
The props definition includes all necessary parameters for request status checking, properly leveraging propDefinitions from the app module.
59-59: LGTM! Clear success message.
The summary message clearly indicates the success state and includes the relevant request ID.
components/fal_ai/fal_ai.app.mjs (1)
1-5: LGTM! Basic setup is correct.
The import statement and app configuration are properly defined.
components/fal_ai/actions/get-request-status/get-request-status.mjs
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Looks good, ready for QA!
FYI, components that make an asynchronous request or allow a callback URL are good opportunities to use Pipedream's $.flow.rerun as in:
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Actionable comments posted: 2
🧹 Outside diff range and nitpick comments (3)
components/fal_ai/actions/get-request-status/get-request-status.mjs (1)
49-49: Add null check for response status in summary message.The template literal assumes
response.statusis defined. Add a null check to handle potential undefined values.- $.export("$summary", `Successfully retrieved status as \`${response.status}\`.`); + $.export("$summary", `Successfully retrieved status as \`${response.status ?? 'unknown'}\`.`);components/fal_ai/actions/add-request-to-queue/add-request-to-queue.mjs (2)
21-24: Consider using a more generic default prompt in thedataproperty.The detailed default prompt may not be relevant to all users. Providing a generic placeholder encourages users to input their own prompt.
Apply this diff to adjust the default
data:21 default: { 22 model_name: "stabilityai/stable-diffusion-xl-base-1.0", -23 prompt: "Photo of a european medieval 40 year old queen, silver hair, highly detailed face, detailed eyes, head shot, intricate crown, age spots, wrinkles", +23 prompt: "Enter your prompt here", 24 },
38-44: Add a default value toreRunTimeoutInSecsfor clarity.Specifying a default value in the property definition helps users understand the default behavior without checking the code.
Apply this diff to add the default value:
38 reRunTimeoutInSecs: { 39 type: "integer", 40 label: "Rerun Timeout", 41 description: "The time in seconds to wait before rerunning the step to retrieve the request response. E.g., `30`. [See the documentation](https://pipedream.com/docs/code/nodejs/rerun/#flowrerun).", 42 optional: true, 43 min: 10, +44 default: 10, 44 },
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⛔ Files ignored due to path filters (1)
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📒 Files selected for processing (6)
components/fal_ai/actions/add-request-to-queue/add-request-to-queue.mjs(1 hunks)components/fal_ai/actions/cancel-request/cancel-request.mjs(1 hunks)components/fal_ai/actions/get-request-response/get-request-response.mjs(1 hunks)components/fal_ai/actions/get-request-status/get-request-status.mjs(1 hunks)components/fal_ai/fal_ai.app.mjs(1 hunks)components/fal_ai/package.json(2 hunks)
🚧 Files skipped from review as they are similar to previous changes (4)
- components/fal_ai/actions/cancel-request/cancel-request.mjs
- components/fal_ai/actions/get-request-response/get-request-response.mjs
- components/fal_ai/fal_ai.app.mjs
- components/fal_ai/package.json
🔇 Additional comments (3)
components/fal_ai/actions/get-request-status/get-request-status.mjs (3)
1-8: LGTM! Component metadata is well-structured.
The component follows Pipedream's standard structure with clear metadata and documentation link.
9-29: LGTM! Props are well-defined and properly referenced.
The props structure aligns with the component's purpose and follows Pipedream's conventions.
31-36: Fix potential 'this' binding issue in destructuring.
Destructuring methods from this can lead to loss of context. Consider using direct method calls instead.
WHY
Resolves #14480
Summary by CodeRabbit
Release Notes
New Features
fal_aicomponent with new properties for configuration and methods for making HTTP requests.Updates
@pipedream/fal_aicomponent to 0.1.0 and added a dependency on@pipedream/platform.These enhancements improve the application's capability to manage asynchronous tasks effectively.