New Components - vectorshift #16023
New Components - vectorshift #16023
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WalkthroughThis pull request introduces several new modules and enhancements for the Vectorshift component. New action modules have been added to add data to a knowledge base, create pipelines, and execute pipelines. Additionally, new source modules have been created to emit events for chatbots, knowledge bases, and pipelines, along with a shared event base. Common constants, utility functions, and additional API methods have been integrated into the main Vectorshift application. The package version has been updated, and new dependencies have been included. Changes
Sequence Diagram(s)sequenceDiagram
participant U as User
participant CP as Create-Pipeline Action
participant VS as Vectorshift App
participant API as API Server
U->>CP: Trigger pipeline creation
CP->>VS: Call createPipeline(config)
VS->>API: _makeRequest({ path: "/pipelines/create", ... })
API-->>VS: Pipeline ID response
VS->>CP: Return pipeline summary
CP-->>U: Output success summary
sequenceDiagram
participant D as Deploy Hook
participant CB as Common Base Module
participant NS as New Knowledge Base Source
participant API as API Server
D->>CB: Invoke deploy hook
CB->>NS: Call getFunction()
NS->>API: Request list of knowledge bases
API-->>NS: Return knowledge base list
NS->>CB: Return list
CB->>D: Emit events for each knowledge base
Assessment against linked issues
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Sources - New Pipeline - New Knowledge Base - New Chatbot Actions - Create Pipeline - Run Pipeline - Add Data To Knowledge Base
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Actionable comments posted: 9
🧹 Nitpick comments (13)
components/vectorshift/actions/create-pipeline/create-pipeline.mjs (1)
30-47: Improve error handling for more robustnessThe current error handling assumes the error message is always a valid JSON string, which might not be the case for all errors.
} catch ({ message }) { - const parsedError = JSON.parse(message).error; - throw new ConfigurationError(parsedError); + try { + const parsedError = JSON.parse(message).error; + throw new ConfigurationError(parsedError); + } catch (e) { + // If error message isn't valid JSON, use the original message + throw new ConfigurationError(message); + } }components/vectorshift/common/utils.mjs (2)
1-6: Add input validation to the checkTmp functionThe function should handle edge cases like null, undefined, or empty string inputs.
export const checkTmp = (filename) => { + if (!filename) { + return "/tmp/undefined"; + } if (!filename.startsWith("/tmp")) { return `/tmp/${filename}`; } return filename; };
8-31: Enhance parseObject to handle nested objectsThe current implementation handles arrays and top-level strings well, but doesn't recursively process nested objects within arrays or objects.
export const parseObject = (obj) => { if (!obj) return undefined; if (Array.isArray(obj)) { return obj.map((item) => { - if (typeof item === "string") { - try { - return JSON.parse(item); - } catch (e) { - return item; - } - } - return item; + return parseObject(item); }); } if (typeof obj === "string") { try { return JSON.parse(obj); } catch (e) { return obj; } } + if (typeof obj === "object" && obj !== null) { + const result = {}; + for (const key in obj) { + result[key] = parseObject(obj[key]); + } + return result; + } return obj; };components/vectorshift/sources/common/base.mjs (2)
15-32: Well-structured event emission logicThe
emitEventmethod follows good practices by:
- Dynamically retrieving the function to call
- Supporting optional limits for initial deployment
- Correctly handling the emission of events with appropriate metadata
Consider adding JSDoc comments to document the expected return type of
getFunction()and what theemitEventmethod expects.
4-42: Verify error handling for API callsThe base module doesn't include error handling for API calls. If the call to
fn()fails, it will throw an uncaught exception.Consider adding try/catch blocks:
async emitEvent(maxResults = false) { const fn = this.getFunction(); - const { objects: response } = await fn(); + try { + const { objects: response } = await fn(); + + if (response.length) { + if (maxResults && (response.length > maxResults)) { + response.length = maxResults; + } + } + + for (const item of response) { + this.$emit(item, { + id: item.id, + summary: this.getSummary(item), + ts: Date.parse(item.created || new Date()), + }); + } + } catch (error) { + console.error("Error retrieving data:", error); + throw error; + } - - if (response.length) { - if (maxResults && (response.length > maxResults)) { - response.length = maxResults; - } - } - - for (const item of response) { - this.$emit(item, { - id: item.id, - summary: this.getSummary(item), - ts: Date.parse(item.created || new Date()), - }); - } },components/vectorshift/actions/run-pipeline/run-pipeline.mjs (1)
26-41: Improve error handling robustnessThe current error handling makes an assumption that the error message is valid JSON, which could lead to unhandled exceptions if the API returns a non-JSON error.
Consider adding a try/catch block around the JSON parsing:
} catch ({ message }) { - const parsedError = JSON.parse(message).error; - throw new ConfigurationError(parsedError); + try { + const parsedError = JSON.parse(message).error; + throw new ConfigurationError(parsedError); + } catch (e) { + // If parsing fails, use the original message + throw new ConfigurationError(`Failed to execute pipeline: ${message}`); + } }components/vectorshift/actions/add-data-to-knowledge-base/add-data-to-knowledge-base.mjs (2)
1-3: Fix typo in imported constant nameThere's a typo in the imported constant name:
RESCRAPE_FRANQUENCY_OPTIONSshould beRESCRAPE_FREQUENCY_OPTIONS.import { - DATA_TYPE_OPTIONS, RESCRAPE_FRANQUENCY_OPTIONS, + DATA_TYPE_OPTIONS, RESCRAPE_FREQUENCY_OPTIONS, } from "../../common/constants.mjs";
78-92: Improve additionalProps implementationThe current implementation modifies the props object directly but returns an empty object. According to typical Pipedream patterns, this method should return the additional props to be added.
Consider refactoring to:
async additionalProps() { const additionalProps = {}; if (this.dataType) { - props.url.hidden = true; - props.wikipedia.hidden = true; - props.youtube.hidden = true; - props.arxiv.hidden = true; - props.git.hidden = true; - props[this.dataType].hidden = false; + // Set all data type props to hidden except the selected one + ["url", "wikipedia", "youtube", "arxiv", "git"].forEach(type => { + additionalProps[type] = { + hidden: type !== this.dataType, + }; + }); const isUrl = this.dataType === "url"; - props.rescrapeFrequency.hidden = !isUrl; - props.recursive.hidden = !isUrl; + additionalProps.rescrapeFrequency = { + hidden: !isUrl, + }; + additionalProps.recursive = { + hidden: !isUrl, + }; } - return {}; + return additionalProps; }components/vectorshift/sources/new-knowledge-base/test-event.mjs (3)
6-7: Future dates used in test dataThe
start_dateandend_datevalues are set to dates in October 2024, which are in the future. This could cause confusion or unexpected behavior when using this test data.Use dates that are relative to the current date or use a fixed past date to ensure the test data remains valid:
- "start_date": "2024-10-21", - "end_date": "2024-10-28", + "start_date": "2023-10-21", + "end_date": "2023-10-28",
13-14: Inconsistent data patternsThe
course_descriptionis empty whilecourse_full_titlecontains meaningful data. This inconsistency could be confusing during testing or when using this as a template.Ensure all fields have meaningful test data or explicitly set them to null:
- "course_description": "", + "course_description": "This is a sample course description for testing purposes.",
22-23: Non-descriptive ID values in string formatThe fields
teachersandclassroomscontain string IDs that don't provide meaningful context. Without additional context, it's difficult to understand what these values represent.Consider using arrays of objects with more descriptive properties or add comments to explain these values:
- "teachers": "66792", - "classrooms": "39627", + "teachers": [ + { + "id": "66792", + "name": "John Doe" + } + ], + "classrooms": [ + { + "id": "39627", + "name": "Online Room 1" + } + ],components/vectorshift/vectorshift.app.mjs (2)
37-43: Inconsistent null checking between options methodsThe
knowledgeBaseIdoptions method uses optional chaining and a fallback (objects?.map(...) || []), while thepipelineIdoptions method assumesobjectswill always exist without any fallback.Standardize the pattern for both methods to improve consistency:
- return objects.map(({ + return objects?.map(({ _id: value, name: label, }) => ({ label, value, -})); +})) || [];
83-91: Missing validation in executePipeline methodThe
executePipelinemethod doesn't validate ifpipelineIdis provided before making the API request. Without validation, this could lead to invalid API calls.Add validation for required parameters:
executePipeline({ pipelineId, ...opts }) { + if (!pipelineId) { + throw new Error("Pipeline ID is required"); + } return this._makeRequest({ method: "POST", path: `/pipeline/${pipelineId}/run`, ...opts, }); },Apply similar validation to the
addDataToKnowledgeBasemethod as well.
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📒 Files selected for processing (14)
components/vectorshift/actions/add-data-to-knowledge-base/add-data-to-knowledge-base.mjs(1 hunks)components/vectorshift/actions/create-pipeline/create-pipeline.mjs(1 hunks)components/vectorshift/actions/run-pipeline/run-pipeline.mjs(1 hunks)components/vectorshift/common/constants.mjs(1 hunks)components/vectorshift/common/utils.mjs(1 hunks)components/vectorshift/package.json(2 hunks)components/vectorshift/sources/common/base.mjs(1 hunks)components/vectorshift/sources/new-chatbot/new-chatbot.mjs(1 hunks)components/vectorshift/sources/new-chatbot/test-event.mjs(1 hunks)components/vectorshift/sources/new-knowledge-base/new-knowledge-base.mjs(1 hunks)components/vectorshift/sources/new-knowledge-base/test-event.mjs(1 hunks)components/vectorshift/sources/new-pipeline/new-pipeline.mjs(1 hunks)components/vectorshift/sources/new-pipeline/test-event.mjs(1 hunks)components/vectorshift/vectorshift.app.mjs(1 hunks)
🔇 Additional comments (11)
components/vectorshift/common/constants.mjs (1)
1-7: LGTM! Data type options are well-defined.The DATA_TYPE_OPTIONS array provides a clean list of supported data types for VectorShift operations. These values likely correspond to different data sources that can be processed by the system.
components/vectorshift/package.json (2)
3-3: Version bump looks appropriate.The version update from 0.0.1 to 0.1.0 follows semantic versioning conventions, indicating new features without breaking changes.
15-17:✅ Verification successful
Remove unnecessary "fs" dependency
The "fs" module is a core Node.js module and doesn't need to be installed as a dependency. The "-security" suffix suggests this is just a placeholder package.
"dependencies": { "@pipedream/platform": "^3.0.3", - "fs": "^0.0.1-security" }
🏁 Script executed:
#!/bin/bash # Verify if fs is used as an import from node_modules or as a core module echo "Checking for fs imports in the codebase..." # Search for imports from the fs package (would indicate reliance on the npm package) rg "from\s+['\"]fs['\"]|require\s*\(\s*['\"]fs['\"]\s*\)" -g "*.{js,mjs}" --stats echo "The fs module should be imported as a core module using:" echo "import * as fs from 'node:fs';" echo "or" echo "const fs = require('node:fs');"Length of output: 19144
Remove unnecessary "fs" dependency from package.json
The "fs" module is a core Node.js module and doesn’t need to be added as an npm dependency. Our verification confirms that all imports (e.g.,
import fs from "fs";orconst fs = require("fs");) resolve to the built-in module. Please remove the following line from yourpackage.json:"dependencies": { "@pipedream/platform": "^3.0.3", - "fs": "^0.0.1-security" }components/vectorshift/actions/create-pipeline/create-pipeline.mjs (2)
1-4: Imports look appropriate.The imports are correctly organized, including the needed platform, utilities, and app modules.
5-29: Component definition is well-structured.The component metadata and props are clearly defined with appropriate descriptions and types.
components/vectorshift/sources/new-pipeline/new-pipeline.mjs (1)
1-22:✅ Verification successful
Well-structured source component
The pipeline source component correctly extends the common base module and implements the required methods:
getFunction()returns the appropriate API methodgetSummary()generates a meaningful summary for eventsSince this component uses the same test data as the knowledge base component, verify that the VectorShift API returns data in the expected format:
🏁 Script executed:
#!/bin/bash # Check all the test event files to see if they're using the same sample data grep -r "course_title" --include="*.mjs" components/vectorshift/sources/Length of output: 353
Approval: New Pipeline Source Component is Consistent and Correct
The new pipeline source component is well-structured and properly extends the common base module. Both required methods—
getFunction()andgetSummary()—are implemented as expected. Additionally, the test event file for this component uses the same sample data ("course_title": "Class title") as the other VectorShift source components, confirming that the VectorShift API returns data in the expected format.
- The component correctly imports and spreads the common base module.
- The test event sample data is consistent across related modules.
- No changes are required.
components/vectorshift/sources/new-chatbot/new-chatbot.mjs (1)
4-22: Component structure looks good!This new source component for detecting Vectorshift chatbot creations follows a good pattern by extending the common base and implementing the necessary methods. The dedupe setting will prevent duplicate events, and the getSummary method properly handles unnamed chatbots.
components/vectorshift/actions/add-data-to-knowledge-base/add-data-to-knowledge-base.mjs (1)
28-32:❓ Verification inconclusive
Clarify file upload handling
The file property description mentions providing a file from
/tmp, but there's no validation or guidance on how the file data should be formatted when passed to the API.Please clarify:
- What format is expected for the file data? (file path, file content, buffer, etc.)
- Is there any size limit or file type restriction?
- How is the actual file upload handled by the underlying API?
🌐 Web query:
How to upload files to Vectorshift knowledge base API?💡 Result:
To upload files to a VectorShift Knowledge Base via their API, you can use the
/v1/knowledge-base/{id}/indexPOST endpoint with the required file metadata and authentication. Here’s a step-by-step guide:API Request Structure
Endpoint:
POST https://api.vectorshift.ai/v1/knowledge-base/{knowledge_base_id}/indexHeaders:
Authorization: Bearer <API_TOKEN>Content-Type: application/jsonBody (JSON):
{ "file_data": { "file": { "type": "file", "metadata": { "name": "<filename>", "path": "<path>", "mime_type": "<mime_type>" }, "custom_metadata": {} } } }Replace
{knowledge_base_id}with your Knowledge Base ID and fill in thename,path(optional file path), andmime_type(e.g.,application/pdf)[2][7].Example cURL Command
curl --request POST \ --url https://api.vectorshift.ai/v1/knowledge-base/KB_123/index \ --header 'Authorization: Bearer YOUR_API_KEY' \ --header 'Content-Type: application/json' \ --data '{ "file_data": { "file": { "type": "file", "metadata": { "name": "report.pdf", "mime_type": "application/pdf" }, "custom_metadata": {} } } }'Key Parameters
- File Metadata:
name: Name of the file.mime_type: Valid MIME type (e.g.,text/csv,application/pdf).path: Optional directory path for organizing files[2][9].- Custom Metadata: Add optional key-value pairs for filtering/querying[2].
Response Handling
On success, the API returns:
{ "status": "success", "document_ids": ["DOC_456"] }Use
document_idsto reference or delete the uploaded file later[2][9].For advanced configurations like chunking or AI enrichment (e.g., OCR), use the
configfield in the request body to specify parameters such aschunk_sizeorenrichment_tasks[2][7].Citations:
- 1: https://docs.vectorshift.ai/platform/pipelines/knowledge/knowledge-base-loader
- 2: https://docs.vectorshift.ai/api-reference/knowledge-bases/index
- 3: https://www.youtube.com/watch?v=N-b_EHwmAS0
- 4: https://www.youtube.com/watch?v=O1KddByZPDw
- 5: https://community.openai.com/t/how-to-update-custom-knowledge-base-files-when-using-a-vector-database-with-file-search/930209
- 6: https://docs.vectorshift.ai/vectorshift/developers/sdk/knowledge-bases
- 7: https://docs.vectorshift.ai/vectorshift/platform/knowledge
- 8: https://docs.vectorshift.ai/vectorshift/platform/pipelines/knowledge
- 9: https://docs.vectorshift.ai/vectorshift/platform/pipelines/data-loaders/file-node
Clarify File Upload Handling in
add-data-to-knowledge-baseThe current schema for "File Data" only specifies a string (i.e., a file from
/tmp), but it isn’t clear how that string should be interpreted or transformed before uploading. Based on the Vectorshift Knowledge Base API, please update the documentation to clarify the following:
Expected Format:
Confirm whether the input should be a simple file path (i.e., a string referencing a file in/tmp) or if it needs conversion into a structured file object. Keep in mind that the Vectorshift API expects a JSON payload under thefile_datakey containing a nestedfileobject with metadata (e.g.,name,mime_type, and optionallypath).File Restrictions:
Indicate if there are any imposed limitations such as maximum file size or permitted MIME types, whether these are validated locally or by the API.Upload Implementation:
Explain how the file upload is processed. For instance, describe any steps that read the file from/tmpand convert its contents into the required JSON representation before being sent to the/v1/knowledge-base/{knowledge_base_id}/indexendpoint.Please refer to the Vectorshift Knowledge Base API documentation for detailed guidance on constructing the upload payload.
components/vectorshift/vectorshift.app.mjs (3)
6-45: Comprehensive property definitions for API integrationThe property definitions for
knowledgeBaseIdandpipelineIdare well structured with proper types, labels, descriptions, and dynamic options. This approach makes the component user-friendly in the Pipedream UI.
47-63: Well-structured API request helper methodsThe helper methods
_baseUrl,_headers, and_makeRequestare well-organized and follow good practices for centralizing API request logic. This approach makes it easier to maintain and update the API integration.
64-100: API methods have consistent structure and namingThe API methods (
listPipelines,listKnowledgeBases,createPipeline,executePipeline, andaddDataToKnowledgeBase) follow a consistent pattern, making the code more maintainable and easier to understand.
components/vectorshift/sources/new-knowledge-base/new-knowledge-base.mjs
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Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Sources - New Pipeline - New Knowledge Base - New Chatbot Actions - Create Pipeline - Run Pipeline - Add Data To Knowledge Base
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Actionable comments posted: 4
♻️ Duplicate comments (1)
components/vectorshift/vectorshift.app.mjs (1)
30-39: 🛠️ Refactor suggestionAdd error handling to options methods
The options methods for both
knowledgeBaseIdandpipelineIddon't include error handling. If the API calls fail, this could cause the UI to break when displaying dropdown options.async options() { + try { const { objects } = await this.listPipelines(); return objects?.map(({ _id: value, name: label, }) => ({ label, value, })) || []; + } catch (error) { + console.error("Failed to fetch pipelines", error); + return []; + } }
🧹 Nitpick comments (8)
components/vectorshift/sources/new-pipeline/test-event.mjs (1)
1-10: Improve the test event sample data to be more realistic and comprehensive.The sample data for a VectorShift pipeline is significantly better than the previous version with course-related data. However, a few improvements would make it more useful:
- Use past dates instead of future dates (currently set to 2025-03-31)
- Include sample nodes in the
nodesobject to demonstrate expected structure- Make the name more descriptive (e.g., "Document Processing Pipeline")
- Consider varying the IDs between fields for clarity
export default { "_id": "6709e0f530eacae6703df110", - "createdDate": "2025-03-31T17:03:31.277Z", + "createdDate": "2024-03-15T14:23:18.277Z", "mainBranch": "6709e0f530eacae6703df110", - "modifiedDate": "2025-03-31T17:03:31.277Z", + "modifiedDate": "2024-03-16T09:45:21.511Z", - "name": "Pipeline Name", + "name": "Document Processing Pipeline", - "nodes": {}, + "nodes": { + "node_1": { + "id": "node_1", + "type": "input", + "name": "Document Input" + }, + "node_2": { + "id": "node_2", + "type": "processor", + "name": "Text Extraction" + } + }, "orgID": "Personal", "userID": "auth0|6709e0f530eacae6703df110" }components/vectorshift/sources/new-chatbot/test-event.mjs (1)
12-13: Consider using realistic dates for the test event.The
createdDateandmodifiedDatefields are set to March 31, 2025, which is in the future. While this works for testing purposes, consider using realistic dates (current or past dates) to better simulate actual API responses and avoid potential validation issues.- "createdDate": "2025-03-31T17:24:39.768Z", + "createdDate": "2023-03-31T17:24:39.768Z", "deployed": true, ... - "modifiedDate": "2025-03-31T17:24:39.768Z", + "modifiedDate": "2023-03-31T17:24:39.768Z",Also applies to: 123-124
components/vectorshift/actions/add-data-to-knowledge-base/add-data-to-knowledge-base.mjs (3)
18-22: Add required attribute to URL propThe URL property should be marked as required since it's essential for adding data to the knowledge base. Without a URL, the action would fail with an API error rather than providing a clear validation message to the user.
url: { type: "string", label: "URL", description: "URL to add to the knowledge base", + required: true, },
18-22: Add URL format validationThe URL property accepts any string, but should be validated to ensure it's a properly formatted URL before making the API request.
url: { type: "string", label: "URL", description: "URL to add to the knowledge base", + pattern: "^https?://.*", + errorMessage: "Please enter a valid URL starting with http:// or https://", },
53-53: Add defensive programming to handle responseThe code assumes
response.document_idsalways exists and is an array. If the API response structure changes or returns an error, this could lead to runtime errors.-$.export("$summary", `Added ${response.document_ids.length} document(s) to knowledge base ${this.knowledgeBaseId}. Document IDs: ${response.document_ids.join(", ")}`); +const documentIds = response.document_ids || []; +$.export("$summary", `Added ${documentIds.length} document(s) to knowledge base ${this.knowledgeBaseId}${documentIds.length ? `. Document IDs: ${documentIds.join(", ")}` : ""}`);components/vectorshift/vectorshift.app.mjs (3)
104-112: Add input validation for executePipeline methodThe
executePipelinemethod doesn't validate thatpipelineIdis provided before making the API request, which could lead to a confusing API error.executePipeline({ pipelineId, ...opts }) { + if (!pipelineId) { + throw new Error("Pipeline ID is required"); + } return this._makeRequest({ method: "POST", path: `/pipeline/${pipelineId}/run`, ...opts, }); },
67-69: Set consistent default values for verbose parameterThe
verboseparameter is hardcoded totruein list methods, making it impossible to override. This reduces flexibility if a non-verbose response is needed for performance reasons.params: { - verbose: true, + verbose: params.verbose ?? true, ...params, },
55-59: Add timeout and response validation to API requestsThe current implementation doesn't set a timeout for API requests, which could lead to hanging requests if the VectorShift API is slow to respond.
return axios($, { url: this._baseUrl() + path, headers: this._headers(), + timeout: 30000, // 30 seconds timeout ...opts, });
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components/vectorshift/actions/add-data-to-knowledge-base/add-data-to-knowledge-base.mjs(1 hunks)components/vectorshift/sources/common/base.mjs(1 hunks)components/vectorshift/sources/new-chatbot/new-chatbot.mjs(1 hunks)components/vectorshift/sources/new-chatbot/test-event.mjs(1 hunks)components/vectorshift/sources/new-knowledge-base/new-knowledge-base.mjs(1 hunks)components/vectorshift/sources/new-knowledge-base/test-event.mjs(1 hunks)components/vectorshift/sources/new-pipeline/new-pipeline.mjs(1 hunks)components/vectorshift/sources/new-pipeline/test-event.mjs(1 hunks)components/vectorshift/vectorshift.app.mjs(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (5)
- components/vectorshift/sources/new-knowledge-base/new-knowledge-base.mjs
- components/vectorshift/sources/new-knowledge-base/test-event.mjs
- components/vectorshift/sources/common/base.mjs
- components/vectorshift/sources/new-chatbot/new-chatbot.mjs
- components/vectorshift/sources/new-pipeline/new-pipeline.mjs
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🔇 Additional comments (5)
components/vectorshift/sources/new-chatbot/test-event.mjs (3)
1-145: Test event structure now aligns correctly with chatbot component purpose.This test event now contains appropriate chatbot configuration data with all the expected fields for a Vectorshift chatbot, which addresses the previous review comment about course-related data inconsistency.
The test event includes comprehensive configuration including access settings, deployment options, UI customization parameters, and integration configurations for Slack and Twilio.
2-2: Ensure ID consistency throughout the test event.The same ID value "67ea096700fcfd7de5313ffa" is used for
_id,mainBranch, andpipeline.object_id. While this might be intentional if these are meant to refer to the same entity, verify that this represents a realistic relationship between these fields in the actual API responses.Also applies to: 122-122, 129-129
96-96: Inconsistent document upload settings.There's an inconsistency between
deployment_options.showDocumentUpload(line 97) and the top-levelshow_document_uploadfield (line 134). Both control document upload functionality but have different naming conventions. Ensure this accurately reflects the API structure.Also applies to: 134-134
components/vectorshift/actions/add-data-to-knowledge-base/add-data-to-knowledge-base.mjs (1)
1-56: Add validation for URL data typeThe code doesn't validate the data type before attempting to add data to the knowledge base. While the current implementation only supports URL data, it should validate this to prevent potential issues.
components/vectorshift/vectorshift.app.mjs (1)
52-60: Add error handling to _makeRequest methodThe
_makeRequestmethod doesn't handle API errors, which could lead to confusing error messages for users.
components/vectorshift/actions/add-data-to-knowledge-base/add-data-to-knowledge-base.mjs
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Resolves #16018.
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