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// Communicates with FastAPI backend at /api/reset and /api/step
const API = '/api';
let currentScenario = null;
let sessionStats = { episodes: 0, correct: 0, totalReward: 0 };
// βββ DOM REFERENCES ββββββββββββββββββββββββββββββββββββββββββ
const elCategory = document.getElementById('category-tag');
const elContext = document.getElementById('context-text');
const elTask = document.getElementById('task-text');
const elAction = document.getElementById('action-text');
const elHistory = document.getElementById('history-list');
const elScenarioId = document.getElementById('scenario-id');
const elLoading = document.getElementById('loading');
const elContent = document.getElementById('content');
const elDoneBanner = document.getElementById('done-banner');
const elButtons = document.querySelectorAll('.decision-btn');
const elStatEpisodes = document.getElementById('stat-episodes');
const elStatCorrect = document.getElementById('stat-correct');
const elStatReward = document.getElementById('stat-reward');
const modal = document.getElementById('modal-overlay');
const elVerdict = document.getElementById('modal-verdict');
const elModalSub = document.getElementById('modal-subtitle');
const elModalTotal = document.getElementById('modal-total');
const elRewardRows = document.getElementById('reward-rows');
const elBestDecision = document.getElementById('best-decision');
// βββ GPU TRAINING ββββββββββββββββββββββββββββββββββββββββββββββ
async function startTraining() {
const btn = document.getElementById('train-btn');
const status = document.getElementById('train-status');
btn.disabled = true;
btn.innerHTML = "β³ Initializing...";
status.innerHTML = "Requesting GPU compute resources...";
status.style.display = 'block';
status.style.color = '#9fa8da';
try {
const response = await fetch('/api/train', { method: 'POST' });
const data = await response.json();
if (data.status === 'started') {
btn.innerHTML = "βοΈ Training in Progress";
status.innerHTML = `Success: Training started on ${data.device}.<br>Check logs for progress.`;
status.style.color = '#81c784';
} else {
throw new Error(data.detail || "Failed to start training");
}
} catch (err) {
btn.disabled = false;
btn.innerHTML = "π Start GPU Training";
status.innerHTML = `Error: ${err.message}`;
status.style.color = '#e57373';
}
}
async function uploadModel() {
const btn = document.getElementById('upload-btn');
const status = document.getElementById('train-status');
const repoId = "JOY0021/autonomy-agent-v2";
btn.disabled = true;
btn.innerHTML = "π‘ Uploading...";
status.style.display = 'block';
status.innerHTML = `Pushing data to <a href="https://huggingface.co/${repoId}" target="_blank" style="color:#64b5f6">${repoId}</a>...`;
status.style.color = '#9fa8da';
try {
const response = await fetch('/api/upload', { method: 'POST' });
const data = await response.json();
if (data.status === 'success') {
btn.innerHTML = "β
Published!";
status.innerHTML = `Success! View your model: <a href="https://huggingface.co/${repoId}" target="_blank" style="color:#81c784; text-decoration:underline;">huggingface.co/${repoId}</a>`;
status.style.color = '#81c784';
} else {
throw new Error(data.message || "Upload failed");
}
} catch (err) {
btn.disabled = false;
btn.innerHTML = "π‘ Publish to Hub";
status.innerHTML = `Upload Error: ${err.message}. Make sure the model page exists!`;
status.style.color = '#e57373';
}
}
// βββ STARTUP βββββββββββββββββββββββββββββββββββββββββββββββββ
document.addEventListener('DOMContentLoaded', startNewEpisode);
// βββ EPISODE MANAGEMENT ββββββββββββββββββββββββββββββββββββββ
async function startNewEpisode() {
elLoading.style.display = 'block';
elContent.style.display = 'none';
elDoneBanner.classList.remove('visible');
setButtonsEnabled(true);
try {
const res = await fetch(`${API}/reset`, { method: 'POST' });
if (!res.ok) throw new Error(`Reset failed: ${res.status}`);
const data = await res.json();
currentScenario = data;
renderScenario(data);
elLoading.style.display = 'none';
elContent.style.display = 'block';
sessionStats.episodes++;
updateStats();
} catch (err) {
elLoading.textContent = `Error loading scenario: ${err.message}`;
console.error(err);
}
}
// βββ RENDER SCENARIO βββββββββββββββββββββββββββββββββββββββββ
function renderScenario(data) {
// Support both wrapped {observation: ...} and flat Observation structures
const obs = data.observation || data;
const cat = data.category || obs.task_id || 'general';
elCategory.textContent = cat.toUpperCase();
elCategory.className = `category-tag category-${cat}`;
elScenarioId.textContent = data.scenario_id || `seed:${data.seed || 'none'}`;
// Map OpenEnv fields to UI
elContext.textContent = obs.prompt || obs.context || 'No context provided.';
elTask.textContent = obs.task || `Step ${obs.step}`;
elAction.textContent = obs.action_to_evaluate || 'Select an action to proceed.';
// History
elHistory.innerHTML = '';
const history = obs.history || [];
if (history.length === 0) {
elHistory.innerHTML = '<div class="no-history">No previous actions in this episode</div>';
} else {
history.forEach(h => {
const div = document.createElement('div');
div.className = 'history-item';
div.innerHTML = `
<div><strong>Action:</strong> ${escHtml(h.action)}</div>
<div class="reward"><strong>Reward:</strong> ${h.reward !== undefined ? h.reward.toFixed(2) : 'N/A'}</div>
`;
elHistory.appendChild(div);
});
}
// Dynamic Actions (REPLACE STATIC BUTTONS)
const container = document.querySelector('.btn-grid');
if (container && obs.available_actions) {
container.innerHTML = '';
obs.available_actions.forEach(action => {
const btn = document.createElement('button');
btn.className = 'decision-btn btn-act'; // Generic style
btn.innerHTML = `
<span class="btn-icon">βΆ</span>
<span class="btn-label">${escHtml(action)}</span>
`;
btn.onclick = () => submitDecision(action);
container.appendChild(btn);
});
}
}
// βββ DECISION SUBMISSION βββββββββββββββββββββββββββββββββββββ
async function submitDecision(decision) {
setButtonsEnabled(false);
const actionText = `The agent carefully considered the context and constraints.\nDECISION: ${decision}`;
try {
const res = await fetch(`${API}/step`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ type: decision }),
});
if (!res.ok) {
const errData = await res.json();
const msg = typeof errData.detail === 'string'
? errData.detail
: JSON.stringify(errData.detail);
alert(`Server error: ${msg}`);
setButtonsEnabled(true);
return;
}
const data = await res.json();
showResultModal(data, decision);
// Update stats
const rewardVal = data.reward?.value || 0;
sessionStats.totalReward += rewardVal;
// Consider it 'correct' if reward is high (>= 0.8)
if (rewardVal >= 0.8) sessionStats.correct++;
updateStats();
// Show done banner
elDoneBanner.classList.add('visible');
} catch (err) {
alert(`Network error: ${err.message}`);
setButtonsEnabled(true);
}
}
// βββ RESULT MODAL ββββββββββββββββββββββββββββββββββββββββββββ
function showResultModal(data, chosenDecision) {
const score = data.info?.episode_score;
const isDone = data.done;
const rewardVal = data.reward?.value ?? 0;
const breakdown = data.reward?.breakdown || {};
// Verdict
if (isDone && score !== undefined) {
elVerdict.textContent = score >= 0.8 ? 'π COMPLETED' : 'β οΈ FINISHED';
elVerdict.className = `modal-verdict ${score >= 0.8 ? 'correct' : 'wrong'}`;
elModalSub.textContent = `Episode Score: ${(score * 100).toFixed(0)}%`;
} else {
elVerdict.textContent = 'π₯ STEP RECORDED';
elVerdict.className = 'modal-verdict';
elModalSub.textContent = `Action: ${chosenDecision}`;
}
// Total
elModalTotal.textContent = `Step Reward: ${rewardVal.toFixed(2)}`;
elModalTotal.style.color = rewardVal >= 0.5 ? '#66bb6a' : '#ef5350';
// Reward breakdown rows
const LABELS = {
r1_action_correctness: 'Action Correctness',
r2_risk_calibration: 'Risk Calibration',
r3_constraint_adherence:'Constraint Adherence',
r4_failure_awareness: 'Failure Awareness',
r5_over_caution_penalty:'Over-Caution Penalty',
r6_recovery_quality: 'Recovery Quality',
r_action_correct: 'Action Alignment',
r_safety: 'Safety Factor',
r_efficiency: 'Efficiency',
r_legitimate: 'Legitimacy Check'
};
elRewardRows.innerHTML = '';
Object.entries(breakdown).forEach(([key, val]) => {
const label = LABELS[key] || key;
if (val === 0) return;
const sign = val > 0 ? '+' : '';
const cls = val > 0 ? 'pos' : val < 0 ? 'neg' : 'zero';
const row = document.createElement('div');
row.className = 'reward-row';
row.innerHTML = `
<span class="r-name">${label}</span>
<span class="r-val ${cls}">${sign}${val.toFixed(2)}</span>
`;
elRewardRows.appendChild(row);
});
// Best decision reveal (if provided in info)
const best = data.info?.best_action || data.info?.best_decision;
if (best) {
elBestDecision.style.display = 'block';
elBestDecision.innerHTML = `Suggested action was: <strong>${best}</strong>`;
} else {
elBestDecision.style.display = 'none';
}
// Show modal
modal.classList.add('visible');
}
// βββ UTILITIES βββββββββββββββββββββββββββββββββββββββββββββββ
function closeModal() {
modal.classList.remove('visible');
}
function setButtonsEnabled(enabled) {
elButtons.forEach(btn => {
btn.disabled = !enabled;
btn.style.opacity = enabled ? '1' : '0.4';
btn.style.cursor = enabled ? 'pointer' : 'not-allowed';
});
}
function updateStats() {
elStatEpisodes.textContent = sessionStats.episodes;
elStatCorrect.textContent = sessionStats.correct;
const avg = sessionStats.episodes > 0
? (sessionStats.totalReward / sessionStats.episodes).toFixed(1)
: '0.0';
const sign = parseFloat(avg) >= 0 ? '+' : '';
elStatReward.textContent = `${sign}${avg}`;
elStatReward.className = `stat-value ${parseFloat(avg) >= 0 ? 'positive' : 'negative'}`;
}
function escHtml(str) {
return String(str)
.replace(/&/g, '&')
.replace(/</g, '<')
.replace(/>/g, '>')
.replace(/"/g, '"');
}
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