feat: Add memory and resource management audit report
This commit introduces a new file, AUDIT-MEMORY.md, which contains a detailed audit of the application's memory and resource management. The audit covers several key areas, including: - Goroutine lifecycle management - In-memory data structures and potential leaks - Database resource usage and connection pooling - Process and file handle management for external miners - Network connection handling for the API server The report identifies a potential issue with the unbounded growth of the `miner_sessions` table and recommends adding a cleanup mechanism. Other areas were found to be robust and well-managed. Co-authored-by: Snider <631881+Snider@users.noreply.github.com>
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AUDIT-MEMORY.md
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# Memory and Resource Management Audit
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This audit examines the application's memory and resource management based on a review of the codebase, with a focus on `pkg/mining/manager.go`, `pkg/mining/service.go`, and `pkg/database/database.go`.
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## 1. Goroutine Leak Analysis
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The application uses several long-running goroutines for background tasks. Overall, goroutine lifecycle management is robust, but there are minor areas for improvement.
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### Findings:
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- **Stats Collection (`manager.go`):** The `startStatsCollection` goroutine runs in a `for` loop with a `time.Ticker`. It reliably terminates when the `stopChan` is closed during `Manager.Stop()`.
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- **Database Cleanup (`manager.go`):** The `startDBCleanup` goroutine also uses a `time.Ticker` and correctly listens for the `stopChan` signal, ensuring it exits cleanly.
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- **WebSocket Event Hub (`service.go`):** The `EventHub.Run` method is launched as a goroutine and manages client connections. It terminates when its internal `quit` channel is closed, which is triggered by the `EventHub.Stop()` method.
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### Recommendations:
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- **No major issues found.** The use of `stopChan` and `sync.WaitGroup` in `Manager` provides a solid foundation for graceful shutdowns.
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## 2. Memory Leak Analysis
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The primary areas of concern for memory leaks are in-memory data structures that could grow indefinitely.
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### Findings:
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- **`Manager.miners` Map:** The `miners` map in the `Manager` struct stores active miner processes. Entries are added in `StartMiner` and removed in `StopMiner` and `UninstallMiner`. If a miner process were to crash or become unresponsive without `StopMiner` being called, its entry would persist in the map, causing a minor memory leak.
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- **In-Memory Hashrate History:** Each miner maintains an in-memory `HashrateHistory`. The `ReduceHashrateHistory` method is called periodically to trim this data, preventing unbounded growth. This is a good practice.
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- **Request Body Size Limit:** The `service.go` file correctly implements a 1MB request body size limit, which helps prevent memory exhaustion from large API requests.
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### Recommendations:
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- **Implement a health check for miners.** A periodic health check could detect unresponsive miner processes and trigger their removal from the `miners` map, preventing memory leaks from orphaned entries.
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## 3. Database Resource Management
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The application uses an SQLite database for persisting historical data.
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### Findings:
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- **Connection Pooling:** The `database.go` file configures the connection pool with `SetMaxOpenConns(1)`. This is appropriate for SQLite's single-writer model and prevents connection-related issues.
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- **`hashrate_history` Cleanup:** The `Cleanup` function in `database.go` correctly removes old records from the `hashrate_history` table based on the configured retention period.
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- **`miner_sessions` Table:** The `miner_sessions` table tracks miner uptime but has no corresponding cleanup mechanism. This table will grow indefinitely, leading to a gradual increase in database size and a potential performance degradation over time.
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### Recommendations:
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- **Add a cleanup mechanism for `miner_sessions`.** Extend the `Cleanup` function to also remove old records from the `miner_sessions` table based on the retention period.
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## 4. File Handle and Process Management
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The application manages external miner processes, which requires careful handling of file descriptors and process handles.
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### Findings:
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- **Process Lifecycle:** The `Stop` method on miner implementations (`xmrig.go`, `ttminer.go`) is responsible for terminating the `exec.Cmd` process. This appears to be handled correctly.
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- **I/O Pipes:** The miner's `stdout`, `stderr`, and `stdin` pipes are created and managed. The code does not show any obvious leaks of these file handles.
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### Recommendations:
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- **No major issues found.** The process management logic appears to be sound.
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## 5. Network Connection Handling
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The application's API server and WebSocket endpoint are critical areas for resource management.
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### Findings:
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- **HTTP Server Timeouts:** The `service.go` file correctly configures `ReadTimeout`, `WriteTimeout`, and `IdleTimeout` for the HTTP server, which is a best practice for preventing slow client attacks and connection exhaustion.
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- **WebSocket Connections:** The `wsUpgrader` has a `CheckOrigin` function that restricts connections to `localhost` origins, providing a layer of security. The `EventHub` manages the lifecycle of WebSocket connections.
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### Recommendations:
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- **No major issues found.** The network connection handling is well-configured.
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