feat(autogpt_builder): Initial Monitor page implementation

[Pwuts]

User description

TODO

• Choose a flow
• See all (status) information of the flow
  • Edit flow button
• State introspection / debugging
  • Full "walkthrough" of current/last flow run, with all inputs/outputs inspectable
  • Highlight points of failure
• List of recent runs
• List of flow versions
• Stats on recent runs
  • duration
  • cost not currently implemented
  • chart?

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PR Type

Enhancement, Dependencies

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Description

• Implemented the Monitor component to fetch and display flow and flow run data.
• Added components for displaying flow runs and their statistics.
• Integrated recharts for visualizing flow run timelines.
• Utilized moment.js for date formatting and manipulation.
• Created Badge component with variant styles.
• Implemented Calendar component using react-day-picker.
• Created Popover component using Radix UI.
• Added hashString utility function for generating hash values from strings.
• Updated dependencies to include @radix-ui/react-popover, date-fns, moment, and react-day-picker.

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Changes walkthrough 📝

	Relevant files
Enhancement	page.tsx Implement Monitor Page with Flow and Run Data Visualization rnd/autogpt_builder/src/app/monitor/page.tsx Implemented the Monitor component to fetch and display flow and flow run data. Added components for displaying flow runs and their statistics. Integrated recharts for visualizing flow run timelines. Utilized moment.js for date formatting and manipulation. +380/-79 badge.tsx Add Badge Component for Status Display                                      rnd/autogpt_builder/src/components/ui/badge.tsx Created Badge component with variant styles. Utilized class-variance-authority for styling. +36/-0    calendar.tsx Add Calendar Component for Date Selection                                rnd/autogpt_builder/src/components/ui/calendar.tsx Implemented Calendar component using react-day-picker. Customized calendar styles and navigation buttons. +72/-0    popover.tsx Add Popover Component for Enhanced UI Interactions              rnd/autogpt_builder/src/components/ui/popover.tsx Created Popover component using Radix UI. Added PopoverTrigger and PopoverContent for flexible popover creation. +33/-0    utils.ts Add Utility Function for String Hashing                                    rnd/autogpt_builder/src/lib/utils.ts Added hashString utility function for generating hash values from strings. +12/-0
Dependencies	package.json Update Dependencies for New UI Components                                rnd/autogpt_builder/package.json Added new dependencies: @radix-ui/react-popover, date-fns, moment, react-day-picker. +4/-0

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[github-actions]

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[codiumai-pr-agent-pro]

PR Description updated to latest commit (63f5282)

• Copy walkthrough table to "Files Changed" Tab

[codiumai-pr-agent-pro]

PR Reviewer Guide 🔍

⏱️ Estimated effort to review: 4 🔵🔵🔵🔵⚪

🧪 No relevant tests

🔒 No security concerns identified

⚡ Key issues to review Performance Issue The function fetchFlowsAndRuns uses nested API calls with promises inside loops (lines 26-54). This could lead to performance issues due to potential high number of simultaneous API requests. Consider refactoring to use Promise.all for batch requests or implementing a queue system to limit concurrent API calls. Possible Bug The state update inside the then block of api.getFlowExecutionInfo might not behave as expected because it directly mutates the state (line 40). Use functional updates for state that depends on the previous state to avoid potential bugs in asynchronous state updates. Code Clarity The component Monitor is very large and handles many responsibilities (lines 16-104). Consider breaking it down into smaller components to improve readability, maintainability, and testability.

[codiumai-pr-agent-pro]

PR Code Suggestions ✨

Category	Suggestion	Score
Possible bug	Modify state updates in fetchFlowsAndRuns to use functional updates for correctness The fetchFlowsAndRuns function modifies the flowRuns state directly within the then callback of api.getFlowExecutionInfo. This can lead to unexpected behavior or errors in React state updates. Instead, use functional updates to ensure that the state is updated based on the previous state. rnd/autogpt_builder/src/app/monitor/page.tsx [40-43] -flowRuns.splice(flowRunIndex, 1, flowRun) -flowRuns.push(flowRun) +setFlowRuns(flowRuns => { + const newFlowRuns = [...flowRuns]; + if (flowRunIndex > -1) { + newFlowRuns.splice(flowRunIndex, 1, flowRun); + } else { + newFlowRuns.push(flowRun); + } + return newFlowRuns; +}); Suggestion importance[1-10]: 9 Why: This suggestion addresses a potential bug by ensuring that state updates are based on the previous state, which is crucial for avoiding unexpected behavior in React.	9
	Add a modulo operation to prevent integer overflow in the hash calculation The hashString function does not handle potential integer overflow, which can lead to unexpected behavior or errors in some environments. Consider adding a modulo operation to ensure the hash value remains within a safe range. rnd/autogpt_builder/src/lib/utils.ts [14] -hash = ((hash << 5) - hash) + chr; +hash = (((hash << 5) - hash) + chr) % 2147483647; Apply this suggestion Suggestion importance[1-10]: 8 Why: Adding a modulo operation to handle potential integer overflow is a good practice to prevent unexpected behavior or errors, addressing a possible bug.	8
Performance	Remove redundant date manipulation library to optimize bundle size The packages date-fns and moment are both date manipulation libraries and having both might be redundant. Consider using only one of the libraries to reduce the bundle size and improve the application's performance. rnd/autogpt_builder/package.json [19-20] "date-fns": "^3.6.0", -"moment": "^2.30.1", +// Removed moment to reduce redundancy and bundle size Apply this suggestion Suggestion importance[1-10]: 9 Why: Having both date-fns and moment libraries is redundant and removing one can significantly reduce the bundle size and improve performance. This suggestion addresses a major optimization.	9
Maintainability	Refactor fetchFlowsAndRuns to use async/await for better code clarity The fetchFlowsAndRuns function uses nested promises which can lead to complex and hard-to-maintain code. Consider using async/await syntax for better readability and error handling. rnd/autogpt_builder/src/app/monitor/page.tsx [25-53] -api.listFlowIDs() -.then(flowIDs => { - Promise.all(flowIDs.map(flowID => { - api.listFlowRunIDs(flowID) - .then(runIDs => { - runIDs.map(runID => { - api.getFlowExecutionInfo(flowID, runID) - .then(execInfo => setFlowRuns(flowRuns => { - ... - })); +async function fetchFlowsAndRuns() { + const flowIDs = await api.listFlowIDs(); + const flows = await Promise.all(flowIDs.map(async flowID => { + const runIDs = await api.listFlowRunIDs(flowID); + const runs = await Promise.all(runIDs.map(runID => api.getFlowExecutionInfo(flowID, runID))); + runs.forEach((execInfo, index) => { + setFlowRuns(flowRuns => { + ... }); }); return api.getFlow(flowID); - })) - .then(flows => setFlows(flows)); -}); + })); + setFlows(flows); +} Suggestion importance[1-10]: 8 Why: Using async/await improves code readability and maintainability, making it easier to follow the logic and handle errors.	8
Enhancement	Ensure hash values are always positive for better compatibility The hashString function currently returns a signed integer. For better compatibility and to avoid negative hash values, consider ensuring the hash is always a positive integer. rnd/autogpt_builder/src/lib/utils.ts [17] -return hash; +return Math.abs(hash); Apply this suggestion Suggestion importance[1-10]: 8 Why: Ensuring the hash value is always positive improves compatibility and avoids potential issues with negative hash values, making this a valuable enhancement.	8