Implement user account feature with backend auth, registration, and profile management

[Copilot]

The app had no user persistence — auth was purely client-side with admin detection based on email domain (@github.com). This adds a real user account system: database-backed credentials, registration, session persistence, and a profile page.

Backend

• 002_users.sql — users table: email UNIQUE, password_hash, name, role CHECK('user','admin'), created_at
• UsersRepository — full CRUD + findByEmail, validateCredentials, updatePassword; passwords hashed with crypto.scryptSync + 16-byte random salt (no new dependency)
• /api/users routes — POST /login, POST /register, GET /, GET /:id, PUT /:id, DELETE /:id
• Seed — default admin@github.com (role: admin) and user@example.com accounts

Frontend

• AuthContext — replaced domain-check with POST /api/users/login; adds currentUser state, localStorage session persistence, and updateCurrentUser() for in-place profile updates
• Register.tsx — new registration form with auto-login on success
• Account.tsx — authenticated profile page: view details, edit display name (updates context live), sign out
• Navigation — shows user's name linked to /account with admin badge
• Login.tsx — removed dangerouslySetInnerHTML XSS vector on the ?error= query param; API error messages surfaced properly
• apiError.ts — shared extractApiErrorMessage() utility used across Login, Register, Account

Tests

27 unit tests for UsersRepository and the hashPassword/verifyPassword helpers.

Original prompt

implement user account feature

[Chronological Review: The conversation began with the user requesting a plan to refactor the backend API. The user was focused on improving the structure and functionality of their API, which is likely part of their ongoing project related to "foundry-personas". The context indicates that the user is working within the file "agent.py".]

[Intent Mapping: The explicit user request was to "plan refactor of backend api", indicating a desire to improve the backend API's design and implementation.]

[Technical Inventory: The conversation has not yet detailed specific technologies or frameworks, but it is implied that the backend API is part of a Python project, given the file extension of "agent.py".]

[Code Archaeology: The specific file being worked on is "agent.py", but no specific functions or code changes have been discussed yet.]

[Progress Assessment: The user has initiated a request for planning a refactor, but no tasks have been completed or detailed yet.]

[Context Validation: The user is looking to refactor their backend API, and the current focus is on planning this refactor.]

[Recent Commands Analysis: The last agent command was the user request to "plan refactor of backend api". There were no tool results to summarize as this was a direct user request without preceding tool execution.]

1. Conversation Overview: - Primary Objectives: The user explicitly requested to "plan refactor of backend api", indicating a goal to improve the backend API's structure and functionality. - Session Context: The conversation has focused on the user's intention to refactor their backend API, with the current working file being "agent.py". - User Intent Evolution: The user's needs have remained consistent, focusing on planning a refactor for the backend API.

2. Technical Foundation:

• Core Technology: Python is implied as the programming language due to the ".py" file extension of "agent.py".

3. Codebase Status:

• File Name: agent.py
• Purpose: This file is likely central to the backend API functionality.
• Current State: No specific modifications have been discussed yet.
• Key Code Segments: Not yet documented as no code changes have been made.
• Dependencies: Not specified at this stage.

4. Problem Resolution:

• Issues Encountered: No specific technical problems or bugs have been identified yet.
• Solutions Implemented: None at this stage as the conversation is in the planning phase.
• Debugging Context: No ongoing troubleshooting efforts have been mentioned.
• Lessons Learned: Not applicable yet as the conversation is still in the initial planning phase.

5. Progress Tracking:

• Completed Tasks: No tasks have been completed yet.
• Partially Complete Work: The planning for the backend API refactor is in progress.
• Validated Outcomes: None yet as the refactor has not been executed.

6. Active Work State:

• Current Focus: The user is focused on planning the refactor of the backend API.
• Recent Context: The last exchange involved the user requesting a plan for the refactor.
• Working Code: No specific code snippets have been discussed recently.
• Immediate Context: The user is preparing to outline a strategy for refactoring their backend API.

7. Recent Operations:

• Last Agent Commands: The last command was the user request to "plan refactor of backend api".
• Tool Results Summary: There were no tool results to summarize as this was a direct user request.
• Pre-Summary State: The agent was actively engaged in discussing the planning of the backend API refactor when the token budget was exceeded.
• Operation Context: The command was executed to align with the user's goal of improving their backend API.

8. Continuation Plan:

• Pending Task: The next step is to outline a detailed plan for the backend API refactor, including specific areas of improvement and potential changes.
• Priority Information: The user should prioritize identifying key areas of the API that require refactoring.
• Next Action: The immediate next step is to begin drafting the refactor plan based on the user's request for a structured approach to the backend API improvements.

Created from VS Code.

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