340 lines
10 KiB
Rust
340 lines
10 KiB
Rust
//! End-to-end scenario tests that validate realistic usage patterns for
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//! the local inference engine across all task types (classification,
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//! prompt suggestion, tab naming).
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use instant::Instant;
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use local_inference::{
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Device, InferenceEngine, InferenceTask, InputCategory, InputClassificationInput,
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InputClassificationTask, PromptSuggestionInput, PromptSuggestionTask, TabNamingInput,
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TabNamingTask,
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};
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async fn get_engine() -> InferenceEngine {
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InferenceEngine::new(Device::Cpu)
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.await
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.expect("Failed to initialize engine — is the model downloaded?")
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}
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// --- Full workflow scenarios ---
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/// Simulates a user session where they type various inputs and the classifier
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/// routes them correctly between shell and agent modes.
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#[tokio::test]
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async fn scenario_user_session_mode_switching() {
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let engine = get_engine().await;
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struct TestCase {
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input: &'static str,
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recent: Vec<&'static str>,
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follow_up: bool,
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expected: InputCategory,
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}
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let cases = vec![
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TestCase {
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input: "cd ~/projects/myapp",
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recent: vec!["ls", "pwd"],
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follow_up: false,
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expected: InputCategory::Shell,
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},
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TestCase {
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input: "npm start",
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recent: vec!["cd ~/projects/myapp", "ls"],
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follow_up: false,
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expected: InputCategory::Shell,
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},
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TestCase {
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input: "why is my server crashing on startup?",
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recent: vec!["npm start", "cd ~/projects/myapp"],
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follow_up: false,
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expected: InputCategory::AgentPrompt,
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},
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TestCase {
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input: "can you also check the environment variables?",
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recent: vec!["npm start"],
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follow_up: true,
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expected: InputCategory::AgentPrompt,
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},
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TestCase {
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input: "export NODE_ENV=production",
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recent: vec!["npm start"],
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follow_up: false,
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expected: InputCategory::Shell,
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},
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];
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println!("\n--- User Session Mode Switching Scenario ---");
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for case in &cases {
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let result = InputClassificationTask
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.run(
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&engine,
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InputClassificationInput {
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user_input: case.input.to_string(),
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recent_commands: case.recent.iter().map(|s| s.to_string()).collect(),
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is_follow_up: case.follow_up,
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},
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)
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.await
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.expect("classification failed");
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println!(
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" {:?} -> {:?} (expected {:?}, confidence {:.2})",
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case.input, result.category, case.expected, result.confidence
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);
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assert_eq!(
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result.category, case.expected,
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"Misclassified {:?}",
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case.input
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);
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}
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}
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/// Simulates prompt suggestions being generated after various shell commands.
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#[tokio::test]
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async fn scenario_prompt_suggestions_after_commands() {
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let engine = get_engine().await;
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println!("\n--- Prompt Suggestions After Commands Scenario ---");
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// After a failed build
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let suggestions = PromptSuggestionTask
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.run(
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&engine,
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PromptSuggestionInput {
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recent_commands: vec![
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"cargo build".into(),
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"cargo test -- --nocapture".into(),
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"cargo build".into(), // repeated = likely still failing
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],
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current_input: String::new(),
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working_directory: "/home/user/projects/rust-app".into(),
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},
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)
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.await
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.expect("suggestion failed");
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println!(" After repeated builds: {suggestions:?}");
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assert!(!suggestions.is_empty());
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// After git workflow
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let suggestions = PromptSuggestionTask
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.run(
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&engine,
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PromptSuggestionInput {
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recent_commands: vec![
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"git add .".into(),
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"git commit -m 'wip'".into(),
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"git push".into(),
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],
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current_input: String::new(),
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working_directory: "/home/user/projects/feature-branch".into(),
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},
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)
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.await
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.expect("suggestion failed");
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println!(" After git workflow: {suggestions:?}");
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assert!(!suggestions.is_empty());
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// With partial input
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let suggestions = PromptSuggestionTask
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.run(
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&engine,
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PromptSuggestionInput {
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recent_commands: vec!["docker ps".into(), "docker logs app".into()],
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current_input: "docker".to_string(),
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working_directory: "/home/user/deployments".into(),
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},
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)
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.await
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.expect("suggestion failed");
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println!(" With 'docker' partial input: {suggestions:?}");
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assert!(!suggestions.is_empty());
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}
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/// Simulates tab naming for different development contexts.
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#[tokio::test]
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async fn scenario_tab_naming_development_contexts() {
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let engine = get_engine().await;
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println!("\n--- Tab Naming for Development Contexts ---");
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struct TabCase {
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label: &'static str,
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commands: Vec<&'static str>,
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cwd: &'static str,
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}
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let cases = vec![
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TabCase {
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label: "Git operations",
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commands: vec!["git log --oneline", "git branch -a", "git fetch origin"],
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cwd: "/home/user/projects/galaxy",
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},
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TabCase {
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label: "Docker deployment",
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commands: vec!["docker compose up -d", "docker ps", "docker logs web"],
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cwd: "/home/user/services/api",
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},
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TabCase {
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label: "Python data science",
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commands: vec![
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"jupyter notebook",
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"pip install pandas",
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"python analysis.py",
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],
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cwd: "/home/user/research/data-pipeline",
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},
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TabCase {
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label: "Rust development",
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commands: vec!["cargo build", "cargo test", "cargo clippy"],
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cwd: "/home/user/projects/my-crate",
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},
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];
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for case in &cases {
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let name = TabNamingTask
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.run(
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&engine,
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TabNamingInput {
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recent_commands: case.commands.iter().map(|s| s.to_string()).collect(),
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working_directory: case.cwd.to_string(),
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},
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)
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.await
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.expect("tab naming failed");
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println!(" {}: \"{}\"", case.label, name);
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assert!(!name.is_empty(), "tab name should not be empty");
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assert!(
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name.split_whitespace().count() <= 6,
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"tab name too long for '{}': \"{}\"",
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case.label,
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name
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);
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}
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}
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/// Tests performance: all tasks should complete quickly enough for interactive use.
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#[tokio::test]
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async fn scenario_performance_under_load() {
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let engine = get_engine().await;
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println!("\n--- Performance Under Load ---");
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// Classification should be fast (< 500ms on CPU)
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let start = Instant::now();
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for _ in 0..5 {
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InputClassificationTask
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.run(
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&engine,
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InputClassificationInput {
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user_input: "git push origin main".to_string(),
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recent_commands: vec!["git add .".into(), "git commit -m 'test'".into()],
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is_follow_up: false,
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},
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)
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.await
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.expect("classification failed");
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}
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let classification_time = start.elapsed();
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println!(
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" 5 classifications: {:?} (avg {:?})",
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classification_time,
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classification_time / 5
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);
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// Tab naming
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let start = Instant::now();
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TabNamingTask
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.run(
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&engine,
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TabNamingInput {
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recent_commands: vec!["make build".into(), "make test".into()],
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working_directory: "/home/user/project".into(),
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},
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)
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.await
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.expect("tab naming failed");
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let tab_time = start.elapsed();
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println!(" 1 tab naming: {:?}", tab_time);
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// Prompt suggestion
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let start = Instant::now();
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PromptSuggestionTask
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.run(
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&engine,
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PromptSuggestionInput {
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recent_commands: vec!["ls".into(), "cd src".into()],
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current_input: String::new(),
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working_directory: "/home/user".into(),
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},
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)
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.await
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.expect("prompt suggestion failed");
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let suggest_time = start.elapsed();
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println!(" 1 prompt suggestion: {:?}", suggest_time);
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// Classification should be under 2s per call on CPU (generous limit for CI)
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assert!(
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classification_time / 5 < std::time::Duration::from_secs(2),
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"classification too slow: {:?} per call",
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classification_time / 5
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);
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}
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/// Tests that the engine can be reused across many calls without degradation.
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#[tokio::test]
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async fn scenario_engine_stability_across_calls() {
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let engine = get_engine().await;
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println!("\n--- Engine Stability Across Calls ---");
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// Mix different task types in sequence
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for i in 0..3 {
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// Classification
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let result = InputClassificationTask
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.run(
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&engine,
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InputClassificationInput {
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user_input: format!("test command {i}"),
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recent_commands: vec![],
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is_follow_up: false,
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},
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)
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.await
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.expect("classification should not degrade");
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assert!(result.confidence > 0.0);
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// Tab naming
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let name = TabNamingTask
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.run(
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&engine,
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TabNamingInput {
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recent_commands: vec![format!("cmd {i}")],
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working_directory: format!("/tmp/test-{i}"),
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},
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)
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.await
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.expect("tab naming should not degrade");
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assert!(!name.is_empty());
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// Prompt suggestion
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let suggestions = PromptSuggestionTask
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.run(
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&engine,
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PromptSuggestionInput {
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recent_commands: vec![format!("action {i}")],
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current_input: String::new(),
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working_directory: "/tmp".into(),
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},
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)
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.await
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.expect("prompt suggestion should not degrade");
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assert!(!suggestions.is_empty());
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println!(" Round {}: all tasks passed", i + 1);
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}
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}
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