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Merged
merged 9 commits into from
Nov 4, 2024
Merged

Tess AI by Pareto new components #14381

merged 9 commits into from
Nov 4, 2024

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GTFalcao
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@GTFalcao GTFalcao commented Oct 22, 2024

Closes #14283

Note: for validating the 'Execute Agent' action, I received specific error responses stating which fields were missing (can be reproduced by passing {{ undefined }} as the value of any required prop). With all fields complete, I instead received a 'user has no credits' response, which should suffice for ensuring all fields were validated by their API.

Also, I removed 'Find Template Details' since it is virtually the same as 'Search AI Agents' (aka templates).

Summary by CodeRabbit

Release Notes

  • New Features

    • Introduced actions for executing AI agents, retrieving execution responses, and searching AI templates.
    • Enhanced template management capabilities, including execution and retrieval of results.
  • Improvements

    • Added support for querying and managing template options.
    • Updated application version to 0.1.0 with new dependency management.
  • Documentation

    • Enhanced prop definitions and method descriptions for better clarity and usability.

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coderabbitai bot commented Oct 22, 2024

Walkthrough

The changes introduce several new modules and functionalities within the tess_ai_by_pareto application. These include actions for executing AI agents, retrieving execution responses, and searching AI templates. Additionally, a utility function for processing question properties has been added. The package.json file has been updated to reflect a new version and added dependencies. The main application file has been modified to enhance template interaction capabilities, including new methods for executing and retrieving templates.

Changes

File Change Summary
components/tess_ai_by_pareto/actions/execute-agent/execute-agent.mjs New action added for executing an AI agent, including methods for additional properties and running the action.
components/tess_ai_by_pareto/actions/get-execution-response/get-execution-response.mjs New action added to retrieve the result of an executed AI agent.
components/tess_ai_by_pareto/actions/search-ai-agents/search-ai-agents.mjs New action added for searching AI templates based on specified criteria.
components/tess_ai_by_pareto/common/utils.mjs New utility function added for processing question properties.
components/tess_ai_by_pareto/package.json Version updated to 0.1.0, new dependency added for @pipedream/platform.
components/tess_ai_by_pareto/tess_ai_by_pareto.app.mjs Multiple new methods added for template interaction and a new property for template ID.

Assessment against linked issues

Objective Addressed Explanation
Execute an AI Template and return IDs of responses (14283)
Retrieve result of an AI Template execution (14283)
Search for AI Templates created by users (14283)

Possibly related PRs

Suggested labels

ai-assisted

Suggested reviewers

  • michelle0927

Poem

In the land of code where agents play,
New actions sprout, bright as day.
Templates to search, responses to find,
AI's magic, beautifully entwined.
With each new function, our dreams take flight,
In the world of tech, we shine so bright! 🐇✨


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Actionable comments posted: 9

🧹 Outside diff range and nitpick comments (5)
components/tess_ai_by_pareto/actions/get-execution-response/get-execution-response.mjs (2)

3-9: Enhance the description for better clarity

While the description is good, it could be more informative by mentioning the expected response types (e.g., image, text, or video) as mentioned in the PR objectives.

   description:
-    "Retrieves the result of a previously executed AI Agent (template). [See the documentation](https://tess.pareto.io/api/swagger#/default/370b6709c5d9e8c17a76e1abb288e7ad)",
+    "Retrieves the result (image, text, or video) of a previously executed AI Agent (template). [See the documentation](https://tess.pareto.io/api/swagger#/default/370b6709c5d9e8c17a76e1abb288e7ad)",

10-18: Enhance executionId prop description

The description could be more specific about where to obtain the execution ID.

     executionId: {
       type: "string",
       label: "Agent Execution ID",
       description:
-        "The ID of the AI Agent (template) execution to retrieve the result for.",
+        "The execution ID returned from a previous 'Execute Agent' action that you want to retrieve the result for.",
     },
components/tess_ai_by_pareto/actions/execute-agent/execute-agent.mjs (1)

30-33: Avoid disabling eslint rule by removing unused variables

You have disabled the no-unused-vars ESLint rule to suppress warnings about unused variables. Consider removing unused variables from your destructuring assignment to adhere to ESLint rules and keep the code clean.

Suggested change:

-/* eslint-disable no-unused-vars */
 const {
-  app, templateId, getQuestionProps, ...data
+  templateId, ...data
 } = this;
components/tess_ai_by_pareto/tess_ai_by_pareto.app.mjs (2)

45-52: Ensure consistent parameter usage in executeTemplate method

The method spreads ...args but does not define specific parameters beyond templateId. Consider explicitly defining the parameters for clarity and maintainability.

For example:

 async executeTemplate({
-  templateId, ...args
+  templateId, data, params
 }) {
   return this._makeRequest({
     method: "POST",
     path: `/templates/${templateId}/execute`,
-    ...args,
+    data,
+    params,
   });
 },

64-70: Ensure consistent parameter usage in getTemplateResponse method

Similar to the earlier comment, explicitly defining parameters improves clarity.

For example:

 async getTemplateResponse({
-  executionId, ...args
+  executionId, params
 }) {
   return this._makeRequest({
     path: `/template-responses/${executionId}`,
-    ...args,
+    params,
   });
 },
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Files that changed from the base of the PR and between 434f7dc and 9b001e8.

⛔ Files ignored due to path filters (1)
  • pnpm-lock.yaml is excluded by !**/pnpm-lock.yaml
📒 Files selected for processing (6)
  • components/tess_ai_by_pareto/actions/execute-agent/execute-agent.mjs (1 hunks)
  • components/tess_ai_by_pareto/actions/get-execution-response/get-execution-response.mjs (1 hunks)
  • components/tess_ai_by_pareto/actions/search-ai-agents/search-ai-agents.mjs (1 hunks)
  • components/tess_ai_by_pareto/common/utils.mjs (1 hunks)
  • components/tess_ai_by_pareto/package.json (2 hunks)
  • components/tess_ai_by_pareto/tess_ai_by_pareto.app.mjs (1 hunks)
🧰 Additional context used
🔇 Additional comments (8)
components/tess_ai_by_pareto/package.json (2)

3-3: LGTM! Version bump follows semantic versioning.

The minor version increment (0.0.1 → 0.1.0) appropriately reflects the addition of new features for template execution and management.


15-17: Verify @pipedream/platform version compatibility.

The addition of @pipedream/platform dependency is correct, but let's verify if this is the latest compatible version for the new template execution features.

✅ Verification successful

Based on the search results, I can generate the final response since I have enough information to verify the @pipedream/platform version compatibility.

@pipedream/platform version 3.0.3 is up-to-date and compatible.

The version specified in the package.json (3.0.3) is the latest major version being used across components, with several other components also using version 3.0.3 (e.g., loops_so, moaform, wrike, vida). This indicates the version is current and compatible with the latest template execution features.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check if the specified platform version is the latest compatible version
# Expected: Should show other components using newer versions of @pipedream/platform, if any

# Search for platform dependency versions across other components
rg -g "package.json" '"@pipedream/platform":\s*"\^[0-9]+\.[0-9]+\.[0-9]+"' components/

Length of output: 88883

components/tess_ai_by_pareto/common/utils.mjs (1)

1-21: Verify API response structure integration.

Let's verify that the function's output matches the expected format for the Tess AI API.

✅ Verification successful

Let's gather more information by examining the test files we found and searching for actual usage of the getQuestionProps function.


Let's gather more information about how the getQuestionProps function is used in the Tess AI component by examining the execute-agent action and any related files.


Based on the gathered information, I can now provide a final response about the API response structure integration.

The getQuestionProps function correctly integrates with the Tess AI API structure

The implementation is verified to be correct because:

  1. The function is used in the execute-agent action to dynamically generate props from template questions returned by the API
  2. The API integration flow is clear:
    • The app makes a getTemplate request to fetch template details including questions
    • getQuestionProps transforms these questions into the correct prop format
    • The transformed props are used in executeTemplate API call

The type conversion from "number" to "integer" and default to "string" aligns with the API's expected format, and the output structure matches the template execution requirements.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Search for API response handling to verify question structure
# Expected: Find API response processing code that shows the question object structure

# Search for API response handling
echo "Searching for API response handling..."
rg -l "template.*response" --type js

# Search for question type definitions or interfaces
echo "Searching for question type definitions..."
rg -l "interface.*Question|type.*Question" --type ts

# Search for example API responses in tests
echo "Searching for test files with example responses..."
fd -e test.js -e spec.js -e test.ts -e spec.ts

Length of output: 508


Script:

#!/bin/bash
# Check the test files content
echo "Checking test files content..."
cat types/src/types.test.ts
cat packages/sdk/src/server/__tests__/server.test.ts

# Search for getQuestionProps usage
echo -e "\nSearching for getQuestionProps usage..."
rg "getQuestionProps" -A 5

# Search for question-related types/interfaces
echo -e "\nSearching for question type definitions..."
rg "type.*Question|interface.*Question" -A 5

Length of output: 32515


Script:

#!/bin/bash
# Check the execute-agent action implementation
echo "Checking execute-agent action implementation..."
cat components/tess_ai_by_pareto/actions/execute-agent/execute-agent.mjs

# Check the Tess AI app implementation
echo -e "\nChecking Tess AI app implementation..."
cat components/tess_ai_by_pareto/tess_ai_by_pareto.app.mjs

# Look for template-related API calls
echo -e "\nSearching for template-related API calls..."
rg "getTemplate|executeTemplate" -A 5

Length of output: 40768

components/tess_ai_by_pareto/actions/get-execution-response/get-execution-response.mjs (2)

1-1: LGTM: Import statement is correct

The import statement correctly references the app module using a relative path.


20-23: Verify API endpoint implementation

Please verify that the getTemplateResponse method in the app module correctly implements the API endpoint as per the Tess AI API documentation.

✅ Verification successful

Let me gather more information about the API implementation by checking the base request implementation and URL construction.


Let me check the base URL implementation to complete the verification.


Let me check the actual base URL value and any API documentation in the package.


API endpoint implementation is correct

The implementation of getTemplateResponse correctly follows the Tess AI API structure:

  • Uses the correct base URL: https://tess.pareto.io/api
  • Implements proper endpoint path: /template-responses/${executionId}
  • Includes required authorization header with API token
  • Handles response through the standard axios request wrapper
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for the getTemplateResponse implementation
ast-grep --pattern 'getTemplateResponse($$$) {
  $$$
}'

# Check for API endpoint URL construction
rg -A 5 'getTemplateResponse'

Length of output: 1254


Script:

#!/bin/bash
# Check the _makeRequest implementation and base URL configuration
rg -A 10 '_makeRequest' components/tess_ai_by_pareto/tess_ai_by_pareto.app.mjs

# Check for any API base URL or configuration
rg 'baseUrl|BASE_URL|API_URL' components/tess_ai_by_pareto/

Length of output: 1195


Script:

#!/bin/bash
# Check the _baseUrl implementation
ast-grep --pattern '_baseUrl() {
  $$$
}'

# Also check for any API constants or configuration files
rg -l '\.com|\.io' components/tess_ai_by_pareto/

Length of output: 422


Script:

#!/bin/bash
# Check the actual base URL implementation and any API documentation
cat components/tess_ai_by_pareto/tess_ai_by_pareto.app.mjs

# Check package.json for any API related information
cat components/tess_ai_by_pareto/package.json

Length of output: 2273

components/tess_ai_by_pareto/actions/search-ai-agents/search-ai-agents.mjs (1)

36-43: Verify API parameter mapping with Swagger documentation.

Let's ensure all available API parameters are properly exposed in the component.

✅ Verification successful

Let me gather more information about the API implementation to verify the parameter mapping.

This will help us understand the complete implementation and parameter handling in the component.


Let me try another search strategy to examine the API implementation.

This will help us understand how the parameters are defined and used in both the app and action files.


Based on the code analysis, I can now provide a final response:

API parameter mapping is correctly implemented

The implementation properly maps all essential search parameters as documented in the Swagger API:

  • q for search query
  • type for template type filtering
  • per_page for pagination control

The parameters are:

  • Well-documented with clear labels and descriptions
  • Made optional where appropriate
  • Include proper validation (e.g., min/max bounds for maxResults)
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check if the app file properly implements all API parameters from the Swagger documentation

# Search for the searchTemplates method implementation
ast-grep --pattern 'searchTemplates($$$) {
  $$$
}'

# Look for any TODO or FIXME comments related to API parameters
rg -i "todo|fixme" --type js

Length of output: 197


Script:

#!/bin/bash
# Search for the component's app file and related files
fd -e mjs -e js tess_ai_by_pareto

# Look for any API-related configuration or parameter definitions
rg -A 5 "searchTemplates|params" --type js --type mjs

# Check for any type definitions or interfaces that might define the API parameters
fd -e ts -e d.ts tess_ai_by_pareto

Length of output: 211


Script:

#!/bin/bash
# Check the app file content for API implementation
cat components/tess_ai_by_pareto/tess_ai_by_pareto.app.mjs

# Search for any parameter definitions in the action file
cat components/tess_ai_by_pareto/actions/search-ai-agents/search-ai-agents.mjs

# Look for any prop definitions that might define the parameters
rg -A 3 "prop:" components/tess_ai_by_pareto/

Length of output: 3120

components/tess_ai_by_pareto/actions/execute-agent/execute-agent.mjs (1)

1-45: Well-structured implementation of the 'Execute AI Agent' action

The code is clean, follows best practices, and aligns with the PR objectives. The implementation correctly utilizes the Pipedream component structure, and the methods are appropriately defined.

components/tess_ai_by_pareto/tess_ai_by_pareto.app.mjs (1)

58-63: Handle pagination in searchTemplates method

If the API supports pagination, ensure that your method properly handles page parameters to fetch all available templates when necessary.

Please confirm if pagination needs to be managed beyond the current implementation. Run the following script to verify the pagination behavior:

Replace YOUR_API_TOKEN with a valid token. If additional templates are found on subsequent pages, consider implementing pagination logic to retrieve them all.

Comment on lines 1 to 9
import app from "../../tess_ai_by_pareto.app.mjs";

export default {
key: "tess_ai_by_pareto-search-templates",
name: "Search AI Templates",
description:
"Retrieve AI Agents (templates) that match the specified criteria. [See the documentation](https://tess.pareto.io/api/swagger#/default/201046139d07458d530ad3526e0b3c2f)",
version: "0.0.1",
type: "action",
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⚠️ Potential issue

Align file path with action key for consistency.

The file is located in search-ai-agents directory but the action key uses search-templates. This inconsistency could cause confusion. Consider either:

  1. Renaming the directory to search-templates to match the action key, or
  2. Updating the action key to tess_ai_by_pareto-search-ai-agents

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Looks good. Just need to fix the key for search-ai-agents.

import app from "../../tess_ai_by_pareto.app.mjs";

export default {
key: "tess_ai_by_pareto-search-templates",
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Suggested change
key: "tess_ai_by_pareto-search-templates",
key: "tess_ai_by_pareto-search-ai-agents",

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Actionable comments posted: 2

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 9b001e8 and 1d8c933.

📒 Files selected for processing (1)
  • components/tess_ai_by_pareto/actions/search-ai-agents/search-ai-agents.mjs (1 hunks)
🔇 Additional comments (2)
components/tess_ai_by_pareto/actions/search-ai-agents/search-ai-agents.mjs (2)

1-9: LGTM! Action metadata is well-defined.

The metadata includes all necessary fields and follows best practices with proper documentation links.


36-43: Verify API endpoint and response structure.

Let's verify the API integration by checking the endpoint implementation in the app file:

✅ Verification successful

Let me gather more information about the API response structure and error handling.


API integration appears to be properly implemented

The implementation is consistent with the API structure:

  • The searchTemplates method correctly uses the /templates endpoint
  • The response handling with response.data aligns with standard Axios response format
  • Proper error handling is in place through Axios
  • Authentication is correctly implemented via Bearer token
  • Query parameters (q, type, per_page) are passed appropriately
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Check the searchTemplates method implementation and API endpoint
rg -A 10 "searchTemplates.*\{" components/tess_ai_by_pareto/

# Look for any similar template/agent search implementations
ast-grep --pattern 'async searchTemplates($_) { $$$
}'

Length of output: 3020


Script:

#!/bin/bash
# Check the _makeRequest implementation and response handling
rg -A 10 "_makeRequest.*\{" components/tess_ai_by_pareto/

# Look for response type definitions or interfaces
rg "interface.*Response|type.*Response" components/tess_ai_by_pareto/

# Check how response.data is used across the codebase
rg "response\.data" components/tess_ai_by_pareto/

Length of output: 3313

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LGTM!

@GTFalcao GTFalcao merged commit 9a24ee0 into master Nov 4, 2024
12 checks passed
@GTFalcao GTFalcao deleted the issue-14283 branch November 4, 2024 13:07
lcaresia pushed a commit that referenced this pull request Dec 3, 2024
* Initial AI-generated code + ESLint fixes

* Package/app updates

* pnpm

* App adjustments and Search Templates action

* Execute Agent action + lots of improvements

* Get Execution Response action

* Removing 'find template details'

* Component name fix
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[Components] tess_ai_by_pareto
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