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import { api, fmt } from "../../api/client";
function backendBaseUrl() {
if (typeof window === "undefined") return "http://127.0.0.1:7860";
const host = window.location.hostname;
const port = window.location.port;
if ((host === "127.0.0.1" || host === "localhost") && port === "5173") {
return `http://${host}:7860`;
}
return window.location.origin;
}
function normalizePath(path) {
return String(path || "").replace(/\\/g, "/").toLowerCase();
}
function toNumberOrNull(value) {
const n = Number(value);
return Number.isFinite(n) ? n : null;
}
function timestampToDate(value) {
const n = Number(value);
if (!Number.isFinite(n) || n <= 0) return null;
return new Date(n * 1000);
}
function metricRowKV(line) {
const m = String(line || "").match(/\|\s*([a-zA-Z0-9_ ]+?)\s*\|\s*([-]?\d+(?:\.\d+)?)\s*\|/);
if (!m) return null;
return {
key: String(m[1]).trim().toLowerCase().replace(/\s+/g, "_"),
value: parseFloat(m[2]),
};
}
function parseLogMetrics(lines) {
const rewards = [];
const scores = [];
let latestTableReward = null;
let latestTableScore = null;
let latestProgressRatio = null;
let latestLoggedTimesteps = null;
for (const line of lines || []) {
if (!line) continue;
const ratioMatch = line.match(/(\d[\d,]*)\/(\d[\d,]*)/);
if (ratioMatch) {
const done = parseInt(String(ratioMatch[1]).replace(/,/g, ""), 10);
const total = parseInt(String(ratioMatch[2]).replace(/,/g, ""), 10);
if (Number.isFinite(done) && Number.isFinite(total) && total > 0) {
latestProgressRatio = done / total;
}
}
const metric = metricRowKV(line);
if (metric) {
if (metric.key === "ep_rew_mean" || metric.key === "mean_reward") {
latestTableReward = metric.value;
}
if (metric.key === "grader_score" || metric.key === "avg_grader_score") {
latestTableScore = metric.value;
}
if (metric.key === "total_timesteps") {
const ts = parseInt(String(metric.value), 10);
if (Number.isFinite(ts)) {
latestLoggedTimesteps = ts;
if (Number.isFinite(latestTableReward)) {
rewards.push({ t: ts, value: Number(latestTableReward) });
latestTableReward = null;
}
if (Number.isFinite(latestTableScore)) {
scores.push({ t: ts, value: Number(latestTableScore) });
latestTableScore = null;
}
}
}
}
const evalReward = line.match(/Eval\s+num_timesteps=(\d[\d,]*),\s*episode_reward=([-]?\d+(?:\.\d+)?)/i);
if (evalReward) {
const ts = parseInt(String(evalReward[1]).replace(/,/g, ""), 10);
const rew = parseFloat(evalReward[2]);
if (Number.isFinite(ts) && Number.isFinite(rew)) {
latestLoggedTimesteps = ts;
rewards.push({ t: ts, value: rew });
}
}
const evalScore = line.match(/\[Eval\]\s+Average grader score:\s+([0-9.]+)/i);
if (evalScore) {
const score = parseFloat(evalScore[1]);
if (Number.isFinite(score)) {
const ts = latestLoggedTimesteps || (scores.length > 0 ? scores[scores.length - 1].t + 1 : 1);
scores.push({ t: ts, value: score });
}
}
const bestScore = line.match(/\[Eval\]\s+New best(?: recurrent)? grader score:\s+([0-9.]+)/i);
if (bestScore) {
const score = parseFloat(bestScore[1]);
if (Number.isFinite(score)) {
const ts = latestLoggedTimesteps || (scores.length > 0 ? scores[scores.length - 1].t + 1 : 1);
scores.push({ t: ts, value: score });
}
}
}
const dedupe = (rows) => {
const map = new Map();
for (const row of rows) {
if (!Number.isFinite(row.t) || !Number.isFinite(row.value)) continue;
map.set(row.t, row);
}
return Array.from(map.values()).sort((a, b) => a.t - b.t);
};
return {
rewardPoints: dedupe(rewards),
scorePoints: dedupe(scores),
logProgressRatio: Number.isFinite(latestProgressRatio) ? latestProgressRatio : null,
lastLoggedTimesteps: Number.isFinite(latestLoggedTimesteps) ? latestLoggedTimesteps : null,
};
}
function seriesSpread(rows) {
if (!Array.isArray(rows) || rows.length === 0) return 0;
const vals = rows.map((r) => Number(r?.value)).filter(Number.isFinite);
if (vals.length === 0) return 0;
return Math.max(...vals) - Math.min(...vals);
}
function payloadHighlights(payload) {
const src = payload && typeof payload === "object" ? payload : {};
const keys = [
"task_id",
"step",
"reward",
"score",
"done",
"backlog",
"completed",
"total_backlog",
"total_completed",
"total_sla_breaches",
"total_valid",
"total_actions",
"passed",
"action_history_len",
];
const out = [];
for (const key of keys) {
if (!(key in src)) continue;
const value = src[key];
if (value == null) continue;
if (typeof value === "number") {
out.push([key, Number.isFinite(value) ? Number(value).toFixed(Math.abs(value) >= 10 ? 1 : 3) : String(value)]);
} else {
out.push([key, String(value)]);
}
}
return out;
}
function toPolyline(points, { minY, maxY, width, height }) {
if (!points || points.length === 0) return "";
return points
.map((p, idx) => {
const x = (idx / Math.max(points.length - 1, 1)) * width;
const y = height - ((p.value - minY) / (maxY - minY || 1)) * height;
return `${x},${y}`;
})
.join(" ");
}
function normalizeSeries(points) {
const map = new Map();
for (const row of points || []) {
const t = Number(row?.t);
const value = Number(row?.value);
if (!Number.isFinite(t) || !Number.isFinite(value)) continue;
map.set(t, { t, value });
}
return Array.from(map.values()).sort((a, b) => a.t - b.t);
}
function toPolylineByT(points, { minX, maxX, minY, maxY, width, height }) {
if (!points || points.length === 0) return "";
const xDen = maxX - minX || 1;
const yDen = maxY - minY || 1;
return points
.map((p) => {
const x = ((p.t - minX) / xDen) * width;
const y = height - ((p.value - minY) / yDen) * height;
return `${x},${y}`;
})
.join(" ");
}
function toStairPolylineByT(points, { minX, maxX, minY, maxY, width, height }) {
if (!points || points.length === 0) return "";
const xDen = maxX - minX || 1;
const yDen = maxY - minY || 1;
const xOf = (t) => ((t - minX) / xDen) * width;
const yOf = (v) => height - ((v - minY) / yDen) * height;
const sorted = normalizeSeries(points);
if (sorted.length === 0) return "";
const out = [];
const first = sorted[0];
out.push(`${xOf(minX)},${yOf(first.value)}`);
out.push(`${xOf(first.t)},${yOf(first.value)}`);
for (let i = 1; i < sorted.length; i += 1) {
const prev = sorted[i - 1];
const curr = sorted[i];
const x = xOf(curr.t);
out.push(`${x},${yOf(prev.value)}`);
out.push(`${x},${yOf(curr.value)}`);
}
const last = sorted[sorted.length - 1];
out.push(`${xOf(maxX)},${yOf(last.value)}`);
return out.join(" ");
}
function summarizeLogLine(line) {
const raw = String(line || "").trim();
if (!raw) return { title: "Info", text: "Empty line", tone: "slate" };
const lower = raw.toLowerCase();
const evalReward = raw.match(/Eval\s+num_timesteps=(\d[\d,]*),\s*episode_reward=([-]?\d+(?:\.\d+)?)/i);
if (evalReward) {
const ts = Number(String(evalReward[1]).replace(/,/g, ""));
const rew = Number(evalReward[2]);
return {
title: "Eval Checkpoint",
text: `Timesteps ${Number.isFinite(ts) ? ts.toLocaleString() : "-"} | Reward ${Number.isFinite(rew) ? rew.toFixed(2) : "-"}`,
tone: "emerald",
};
}
const bestScore = raw.match(/\[Eval\]\s+New best(?: recurrent)? grader score:\s+([0-9.]+)/i);
if (bestScore) {
const score = Number(bestScore[1]);
return {
title: "Best Score Improved",
text: `Grader score improved to ${Number.isFinite(score) ? score.toFixed(4) : "-"}.`,
tone: "emerald",
};
}
const avgScore = raw.match(/\[Eval\]\s+Average grader score:\s+([0-9.]+)/i);
if (avgScore) {
const score = Number(avgScore[1]);
return {
title: "Evaluation Summary",
text: `Average grader score ${Number.isFinite(score) ? score.toFixed(4) : "-"}.`,
tone: "emerald",
};
}
const metric = metricRowKV(raw);
if (metric) {
const key = String(metric.key || "").replace(/_/g, " ");
return {
title: "Metric Update",
text: `${key}: ${Number.isFinite(metric.value) ? metric.value : "-"}`,
tone: "indigo",
};
}
if (lower.includes("traceback") || lower.includes("exception") || lower.includes("error")) {
return { title: "Error", text: "A runtime error was reported by the training process. Review backend logs for the exact stack trace.", tone: "rose" };
}
if (lower.includes("[eval]")) {
return { title: "Evaluation", text: "Evaluation cycle completed and scores were updated.", tone: "emerald" };
}
if (lower.includes("[training_jobs]")) {
if (lower.includes("started pid=")) {
return { title: "Job Started", text: "Training worker started successfully and began consuming timesteps.", tone: "cyan" };
}
if (lower.includes("command:")) {
return { title: "Runtime Config", text: "Training command was prepared with current phase and environment settings.", tone: "cyan" };
}
return { title: "System", text: "Background training service published a runtime status update.", tone: "cyan" };
}
if (lower.includes("[phase 1]")) {
return { title: "Phase 1 Update", text: "Phase 1 PPO training is actively optimizing policy behavior.", tone: "indigo" };
}
if (lower.includes("[phase 2]")) {
return { title: "Phase 2 Update", text: "Phase 2 curriculum training is active for harder scenario generalization.", tone: "indigo" };
}
if (lower.includes("[costmonitor]")) {
return { title: "Constraint Monitor", text: "SLA/fairness penalty monitor updated policy constraint feedback.", tone: "amber" };
}
return { title: "Runtime Update", text: "The trainer reported a new runtime event and internal state progressed.", tone: "amber" };
}
function summarizeEnvEvent(event) {
const stage = String(event?.stage || "");
const payload = event?.payload || {};
const task = payload?.task_id ? ` [${payload.task_id}]` : "";
if (stage === "reset") {
return `Task${task}: session created. Day ${payload?.day ?? "-"}, starting backlog ${payload?.backlog ?? "-"}.`;
}
if (stage === "state:initial") {
return `Task${task}: initial snapshot captured. Completed ${payload?.total_completed ?? "-"}, backlog ${payload?.total_backlog ?? "-"}.`;
}
if (stage === "action-masks") {
return `Task${task}: step ${payload?.step ?? "-"} validated actions (${payload?.total_valid ?? "-"} valid of ${payload?.total_actions ?? "-"}).`;
}
if (stage === "auto_step") {
return `Task${task}: step ${payload?.step ?? "-"} executed. Reward ${fmt(payload?.reward, 3)}, backlog ${payload?.backlog ?? "-"}, completed ${payload?.completed ?? "-"}.`;
}
if (stage === "state:post_step") {
return `Task${task}: post-step state updated. Completed ${payload?.total_completed ?? "-"}, backlog ${payload?.total_backlog ?? "-"}, SLA breaches ${payload?.total_sla_breaches ?? "-"}.`;
}
if (stage === "grade") {
return `Task${task}: grading finished. Score ${fmt(payload?.score, 3)}, pass ${String(payload?.passed)}.`;
}
if (stage === "session:closed") {
return `Task${task}: session closed successfully.`;
}
if (stage === "task:error") {
return `Task${task}: run failed - ${payload?.error || "unknown error"}.`;
}
return `Task${task}: ${stage}.`;
}
function workflowStageLabel(stage) {
const key = String(stage || "").toLowerCase();
if (key === "reset") return "Reset";
if (key === "state:initial") return "Initial State";
if (key === "action-masks") return "Action Validation";
if (key === "auto_step") return "Auto Step";
if (key === "state:post_step") return "Post-Step State";
if (key === "grade") return "Grade";
if (key === "session:closed") return "Session Closed";
if (key === "task:error") return "Task Error";
return stage;
}
function jsonPretty(value) {
try {
return JSON.stringify(value, null, 2);
} catch (_err) {
return String(value);
}
}
function toneClasses(tone) {
if (tone === "rose") return "bg-rose-500/5 border-rose-500/20";
if (tone === "emerald") return "bg-emerald-500/5 border-emerald-500/20";
if (tone === "indigo") return "bg-indigo-500/5 border-indigo-500/20";
if (tone === "cyan") return "bg-cyan-500/5 border-cyan-500/20";
if (tone === "amber") return "bg-amber-500/5 border-amber-500/20";
return "bg-slate-700/10 border-slate-500/20";
}
function statusClasses(status) {
const s = String(status || "").toLowerCase();
if (s === "running") return "text-emerald-300 bg-emerald-500/10 border-emerald-500/30";
if (s === "queued") return "text-amber-300 bg-amber-500/10 border-amber-500/30";
if (s === "completed") return "text-indigo-300 bg-indigo-500/10 border-indigo-500/30";
if (s === "failed") return "text-rose-300 bg-rose-500/10 border-rose-500/30";
if (s === "stopped") return "text-slate-300 bg-slate-600/20 border-slate-500/30";
return "text-slate-300 bg-slate-700/20 border-slate-500/30";
}
function normalizeJob(raw, index) {
const jobId = String(raw?.job_id || raw?.id || `job-${index}`);
const status = String(raw?.status || "unknown");
const timesteps = Number(raw?.timesteps || 0);
const latestMetrics = raw?.latest_metrics && typeof raw.latest_metrics === "object" ? raw.latest_metrics : {};
const progressRaw = toNumberOrNull(raw?.progress);
const ts = toNumberOrNull(latestMetrics.total_timesteps);
const progressFromMetrics =
Number.isFinite(ts) && Number.isFinite(timesteps) && timesteps > 0
? Math.max(0, Math.min(1, Number(ts) / Number(timesteps)))
: null;
const progress = Number.isFinite(progressRaw)
? Math.max(0, Math.min(1, Number(progressRaw)))
: Number.isFinite(progressFromMetrics)
? Number(progressFromMetrics)
: 0;
return {
...raw,
job_id: jobId,
status,
timesteps: Number.isFinite(timesteps) ? timesteps : 0,
phase: Number(raw?.phase || 0),
n_envs: Number(raw?.n_envs || 0),
progress,
latest_metrics: latestMetrics,
logs_tail: Array.isArray(raw?.logs_tail) ? raw.logs_tail : [],
created_at: toNumberOrNull(raw?.created_at),
updated_at: toNumberOrNull(raw?.updated_at),
};
}
export function TrainingTabV2({ tasks = [] }) {
const [endpointRows, setEndpointRows] = useState([]);
const [endpointError, setEndpointError] = useState("");
const [agents, setAgents] = useState([]);
const [modelRows, setModelRows] = useState([]);
const [modelError, setModelError] = useState("");
const [jobs, setJobs] = useState([]);
const [jobsLoading, setJobsLoading] = useState(false);
const [jobsError, setJobsError] = useState("");
const [activeJobId, setActiveJobId] = useState("");
const [activeJob, setActiveJob] = useState(null);
const [deletingJobId, setDeletingJobId] = useState("");
const [jobError, setJobError] = useState("");
const [pollIntervalMs, setPollIntervalMs] = useState(1500);
const pollFailuresRef = useRef(0);
const [rewardPoints, setRewardPoints] = useState([]);
const [scorePoints, setScorePoints] = useState([]);
const [scoreSignalMeta, setScoreSignalMeta] = useState({
key: "grader_score",
label: "Grader Score",
fallback: false,
});
const [logLines, setLogLines] = useState([]);
const [logProgressRatio, setLogProgressRatio] = useState(null);
const [lastLoggedTimesteps, setLastLoggedTimesteps] = useState(null);
const [jobForm, setJobForm] = useState({
phase: 1,
timesteps: 80000,
n_envs: 4,
seed: "",
});
const [envTaskId, setEnvTaskId] = useState(tasks[0] || "district_backlog_easy");
const [envSeed, setEnvSeed] = useState("");
const [envPolicyName, setEnvPolicyName] = useState("backlog_clearance");
const [envMaxSteps, setEnvMaxSteps] = useState(6);
const [envBusy, setEnvBusy] = useState(false);
const [envError, setEnvError] = useState("");
const [envFlowEvents, setEnvFlowEvents] = useState([]);
const [envFlowSummary, setEnvFlowSummary] = useState(null);
const [envFlowRuns, setEnvFlowRuns] = useState([]);
const envEventSeqRef = useRef(0);
useEffect(() => {
if (tasks.length > 0 && !tasks.includes(envTaskId)) {
setEnvTaskId(tasks[0]);
}
}, [tasks, envTaskId]);
useEffect(() => {
if (agents.length > 0 && !agents.includes(envPolicyName)) {
setEnvPolicyName(agents[0]);
}
}, [agents, envPolicyName]);
const refreshEndpointHealth = async () => {
setEndpointError("");
const directGet = async (path) => {
const res = await fetch(`${backendBaseUrl()}${path}`, { method: "GET" });
if (!res.ok) {
throw new Error(`${path} -> ${res.status}`);
}
try {
return await res.json();
} catch (_err) {
return { ok: true };
}
};
const checks = [
{ key: "health", label: "Health", fn: () => api("/health") },
{ key: "tasks", label: "Tasks", fn: () => api("/tasks") },
{ key: "agents", label: "Agents", fn: () => api("/agents") },
{ key: "training_jobs", label: "Training Jobs", fn: () => api("/training_jobs") },
{ key: "actions_schema", label: "Action Schema", fn: () => api("/actions/schema") },
{ key: "rl_models", label: "RL Models", fn: () => api("/rl_models") },
{ key: "rl_models_v2", label: "RL Models V2", fn: () => api("/rl/models") },
{ key: "v1_agents", label: "V1 Agents", fn: () => directGet("/api/v1/agents") },
{ key: "v1_rl_models", label: "V1 RL Models", fn: () => directGet("/api/v1/rl_models") },
];
const settled = await Promise.allSettled(
checks.map(async (chk) => {
const start = Date.now();
await chk.fn();
return { key: chk.key, label: chk.label, ok: true, ms: Date.now() - start };
})
);
const rows = settled.map((res, idx) => {
const meta = checks[idx];
if (res.status === "fulfilled") return res.value;
return {
key: meta.key,
label: meta.label,
ok: false,
ms: null,
error: res.reason?.message || String(res.reason),
};
});
setEndpointRows(rows);
if (rows.some((r) => !r.ok)) {
setEndpointError("Some endpoints are down. Retries remain active.");
}
};
const refreshCatalog = async () => {
setModelError("");
try {
const [agentRes, rlV1Res, rlV2Res] = await Promise.allSettled([
api("/agents"),
api("/rl_models"),
api("/rl/models"),
]);
if (agentRes.status === "fulfilled") {
setAgents(Array.isArray(agentRes.value) ? agentRes.value : []);
}
const unified = [];
if (rlV1Res.status === "fulfilled") {
const rows = Array.isArray(rlV1Res.value?.models) ? rlV1Res.value.models : [];
for (const row of rows) {
unified.push({
source: "api/rl_models",
label: row.label || row.path || "unnamed",
path: row.path || "",
exists: Boolean(row.exists),
phase: normalizePath(row.path).includes("/phase2/") ? 2 : normalizePath(row.path).includes("/phase1/") ? 1 : 0,
});
}
}
if (rlV2Res.status === "fulfilled") {
const rows = Array.isArray(rlV2Res.value) ? rlV2Res.value : [];
for (const row of rows) {
const path = row.model_path
? (String(row.model_path).toLowerCase().endsWith(".zip") ? row.model_path : `${row.model_path}.zip`)
: "";
unified.push({
source: "api/rl/models",
label: path.split(/[\\/]/).pop() || row.model_path || "unnamed",
path,
exists: Boolean(row.exists),
phase: Number(row.phase || 0),
});
}
}
const dedupe = new Map();
for (const row of unified) {
const key = normalizePath(row.path);
if (!key) continue;
if (!dedupe.has(key)) dedupe.set(key, row);
}
const rows = Array.from(dedupe.values()).sort((a, b) => {
if (a.phase !== b.phase) return b.phase - a.phase;
return String(a.label).localeCompare(String(b.label));
});
setModelRows(rows);
if (rows.length === 0) {
setModelError("No models discovered from dynamic model endpoints.");
}
} catch (err) {
setModelError(err?.message || "Failed to load model registry.");
}
};
const refreshJobs = async () => {
setJobsLoading(true);
try {
const data = await api("/training_jobs");
const rowsRaw = Array.isArray(data?.jobs) ? data.jobs : [];
const rows = rowsRaw.map(normalizeJob).sort((a, b) => Number(b.created_at || 0) - Number(a.created_at || 0));
setJobs(rows);
setJobsError("");
const running = rows.find((j) => j.status === "running" || j.status === "queued");
const current = rows.find((j) => j.job_id === activeJobId);
if (running?.job_id) {
if (!current || (current.status !== "running" && current.status !== "queued")) {
setActiveJobId(running.job_id);
}
} else if (!activeJobId && rows[0]?.job_id) {
setActiveJobId(rows[0].job_id);
}
} catch (err) {
setJobsError(err?.message || "Failed to load training jobs.");
} finally {
setJobsLoading(false);
}
};
const parseAndSetPoints = (jobSnapshot) => {
const lines = Array.isArray(jobSnapshot?.logs_tail) ? jobSnapshot.logs_tail : [];
setLogLines(lines);
const parsed = parseLogMetrics(lines);
setLogProgressRatio(parsed.logProgressRatio);
setLastLoggedTimesteps(parsed.lastLoggedTimesteps);
const nextRewards = [];
const nextScores = [];
const nextSignals = {
explained_variance: [],
ep_len_mean: [],
approx_kl: [],
};
const history = Array.isArray(jobSnapshot?.metric_history) ? jobSnapshot.metric_history : [];
for (const row of history) {
const t = Number(row?.t ?? row?.total_timesteps ?? NaN);
if (!Number.isFinite(t)) continue;
const rew = Number(row?.ep_rew_mean ?? row?.mean_reward ?? NaN);
const score = Number(row?.grader_score ?? row?.avg_grader_score ?? NaN);
if (Number.isFinite(rew)) nextRewards.push({ t, value: rew });
if (Number.isFinite(score)) nextScores.push({ t, value: score });
for (const key of Object.keys(nextSignals)) {
const vv = Number(row?.[key] ?? NaN);
if (Number.isFinite(vv)) nextSignals[key].push({ t, value: vv });
}
}
nextRewards.push(...parsed.rewardPoints);
nextScores.push(...parsed.scorePoints);
const lm = jobSnapshot?.latest_metrics || {};
const metricTs = Number(lm.total_timesteps ?? NaN);
const metricReward = Number(lm.ep_rew_mean ?? lm.mean_reward ?? NaN);
const metricScore = Number(lm.grader_score ?? lm.avg_grader_score ?? NaN);
if (Number.isFinite(metricTs) && Number.isFinite(metricReward)) {
nextRewards.push({ t: metricTs, value: metricReward });
}
if (Number.isFinite(metricTs) && Number.isFinite(metricScore)) {
nextScores.push({ t: metricTs, value: metricScore });
}
for (const key of Object.keys(nextSignals)) {
const vv = Number(lm[key] ?? NaN);
if (Number.isFinite(metricTs) && Number.isFinite(vv)) {
nextSignals[key].push({ t: metricTs, value: vv });
}
}
const dedupe = (rows) => {
const map = new Map();
for (const row of rows) {
if (!Number.isFinite(row.t) || !Number.isFinite(row.value)) continue;
map.set(row.t, row);
}
return Array.from(map.values()).sort((a, b) => a.t - b.t);
};
const dedupedRewards = dedupe(nextRewards);
const dedupedScores = dedupe(nextScores);
const dedupedSignals = Object.fromEntries(
Object.entries(nextSignals).map(([key, rows]) => [key, dedupe(rows)])
);
let chosenScores = dedupedScores;
let chosenMeta = { key: "grader_score", label: "Grader Score", fallback: false };
if (dedupedScores.length < 2 || seriesSpread(dedupedScores) < 1e-6) {
const fallbackCandidates = [
{ key: "explained_variance", label: "Explained Variance" },
{ key: "ep_len_mean", label: "Episode Length Mean" },
{ key: "approx_kl", label: "Approx KL" },
];
for (const candidate of fallbackCandidates) {
const rows = dedupedSignals[candidate.key] || [];
if (rows.length >= 2 && seriesSpread(rows) >= 1e-6) {
chosenScores = rows;
chosenMeta = { key: candidate.key, label: candidate.label, fallback: true };
break;
}
}
}
setRewardPoints(dedupedRewards);
setScorePoints(chosenScores);
setScoreSignalMeta(chosenMeta);
};
const startTrainingJob = async () => {
setJobError("");
try {
const payload = {
phase: Number(jobForm.phase) || 1,
timesteps: Number(jobForm.timesteps) || 80000,
n_envs: Number(jobForm.n_envs) || 4,
};
const seedNum = Number(jobForm.seed);
if (jobForm.seed !== "" && Number.isFinite(seedNum)) payload.seed = seedNum;
const res = await api("/training_jobs", {
method: "POST",
body: JSON.stringify(payload),
});
if (res?.job_id) {
setActiveJobId(res.job_id);
const norm = normalizeJob(res, 0);
setActiveJob(norm);
parseAndSetPoints(norm);
}
await refreshJobs();
} catch (err) {
setJobError(err?.message || "Failed to start training job.");
}
};
const stopTrainingJob = async () => {
if (!activeJobId) return;
setJobError("");
try {
await api(`/training_jobs/${activeJobId}/stop`, { method: "POST" });
await refreshJobs();
const stopped = await api(`/training_jobs/${activeJobId}`);
const norm = normalizeJob(stopped, 0);
setActiveJob(norm);
parseAndSetPoints(norm);
} catch (err) {
setJobError(err?.message || "Failed to stop training job.");
}
};
const clearTrainingHistory = async () => {
setJobError("");
try {
await api("/training_jobs?clear_artifacts=false", { method: "DELETE" });
setJobs([]);
setActiveJob(null);
setActiveJobId("");
setRewardPoints([]);
setScorePoints([]);
setScoreSignalMeta({ key: "grader_score", label: "Grader Score", fallback: false });
setLogLines([]);
setLogProgressRatio(null);
setLastLoggedTimesteps(null);
} catch (err) {
setJobError(err?.message || "Failed to clear training history.");
}
};
const deleteTrainingJob = async (jobId) => {
if (!jobId) return;
setJobError("");
setDeletingJobId(jobId);
try {
await api(`/training_jobs/${jobId}?clear_artifacts=false`, { method: "DELETE" });
if (activeJobId === jobId) {
setActiveJobId("");
setActiveJob(null);
setRewardPoints([]);
setScorePoints([]);
setScoreSignalMeta({ key: "grader_score", label: "Grader Score", fallback: false });
setLogLines([]);
}
await refreshJobs();
} catch (err) {
setJobError(err?.message || "Failed to delete training job.");
} finally {
setDeletingJobId("");
}
};
const pushEnvEvent = (stage, payload, tone = "indigo") => {
const seq = envEventSeqRef.current + 1;
envEventSeqRef.current = seq;
setEnvFlowEvents((prev) => [
...prev,
{ id: `${Date.now()}-${Math.random()}`, seq, ts: Date.now(), stage, payload, tone },
].slice(-400));
};
const runAutomatedOpenEnvFlow = async () => {
setEnvBusy(true);
setEnvError("");
setEnvFlowSummary(null);
setEnvFlowEvents([]);
setEnvFlowRuns([]);
envEventSeqRef.current = 0;
try {
const seedNum = Number(envSeed);
const taskScope = Array.isArray(tasks) && tasks.length > 0 ? tasks : [envTaskId];
const runTaskIds = Array.from(new Set(taskScope.filter(Boolean)));
const maxSteps = Math.max(1, Number(envMaxSteps) || 6);
const taskResults = [];
for (const taskId of runTaskIds) {
let sessionId = "";
let stepsExecuted = 0;
let finalState = null;
try {
const resetPayload = { task_id: taskId };
if (envSeed !== "" && Number.isFinite(seedNum)) {
resetPayload.seed = seedNum;
}
const resetRes = await api("/reset", {
method: "POST",
body: JSON.stringify(resetPayload),
});
sessionId = String(resetRes?.session_id || "");
if (!sessionId) throw new Error(`reset() did not return session_id for task ${taskId}`);
pushEnvEvent(
"reset",
{
task_id: taskId,
day: resetRes?.observation?.day,
backlog: resetRes?.observation?.total_backlog,
completed: resetRes?.observation?.total_completed,
},
"emerald"
);
const initialState = await api("/state", {
method: "POST",
body: JSON.stringify({ session_id: sessionId, include_action_history: false }),
});
pushEnvEvent(
"state:initial",
{
task_id: taskId,
total_completed: initialState?.state?.total_completed,
total_backlog: initialState?.state?.total_backlog,
fairness_gap: initialState?.state?.fairness_gap,
},
"cyan"
);
let done = false;
for (let idx = 0; idx < maxSteps; idx += 1) {
if (done) break;
const masks = await api("/action-masks", {
method: "POST",
body: JSON.stringify({ session_id: sessionId }),
});
pushEnvEvent(
"action-masks",
{
task_id: taskId,
step: idx + 1,
total_valid: masks?.total_valid,
total_actions: masks?.total_actions,
},
"amber"
);
const stepRes = await api("/auto_step", {
method: "POST",
body: JSON.stringify({
session_id: sessionId,
agent_policy: envPolicyName || "backlog_clearance",
}),
});
done = Boolean(stepRes?.done);
stepsExecuted += 1;
pushEnvEvent(
"auto_step",
{
task_id: taskId,
step: idx + 1,
reward: stepRes?.reward,
done: stepRes?.done,
day: stepRes?.observation?.day,
backlog: stepRes?.observation?.total_backlog,
completed: stepRes?.observation?.total_completed,
},
"indigo"
);
const stateRes = await api("/state", {
method: "POST",
body: JSON.stringify({ session_id: sessionId, include_action_history: true }),
});
finalState = stateRes;
pushEnvEvent(
"state:post_step",
{
task_id: taskId,
step: idx + 1,
total_completed: stateRes?.state?.total_completed,
total_backlog: stateRes?.state?.total_backlog,
total_sla_breaches: stateRes?.state?.total_sla_breaches,
action_history_len: Array.isArray(stateRes?.state?.action_history) ? stateRes.state.action_history.length : 0,
},
"cyan"
);
}
const gradeRes = await api("/grade", {
method: "POST",
body: JSON.stringify({ session_id: sessionId }),
});
const scoreValue = Number(gradeRes?.score);
const dynamicPassed =
typeof gradeRes?.passed === "boolean"
? gradeRes.passed
: (Number.isFinite(scoreValue) ? scoreValue >= 0.5 : null);
pushEnvEvent(
"grade",
{
task_id: taskId,
score: gradeRes?.score,
passed: dynamicPassed,
},
"emerald"
);
taskResults.push({
task_id: taskId,
steps_executed: stepsExecuted,
score: gradeRes?.score ?? null,
passed: dynamicPassed,
final_completed: finalState?.state?.total_completed ?? null,
final_backlog: finalState?.state?.total_backlog ?? null,
final_sla_breaches: finalState?.state?.total_sla_breaches ?? null,
});
} catch (taskErr) {
const msg = taskErr?.message || String(taskErr);
pushEnvEvent("task:error", { task_id: taskId, error: msg }, "rose");
taskResults.push({
task_id: taskId,
steps_executed: stepsExecuted,
score: null,
passed: null,
error: msg,
});
} finally {
if (sessionId) {
try {
await api(`/sessions/${sessionId}`, { method: "DELETE" });
pushEnvEvent("session:closed", { task_id: taskId }, "slate");
} catch (_err) {
// no-op
}
}
}
}
setEnvFlowRuns(taskResults);
const validScores = taskResults
.map((row) => Number(row.score))
.filter((v) => Number.isFinite(v));
const passedCount = taskResults.filter((row) => row.passed === true).length;
setEnvFlowSummary({
tasks_executed: taskResults.length,
total_steps_executed: taskResults.reduce((acc, row) => acc + Number(row.steps_executed || 0), 0),
avg_score:
validScores.length > 0
? validScores.reduce((acc, score) => acc + Number(score), 0) / validScores.length
: null,
passed_tasks: passedCount,
});
} catch (err) {
setEnvError(err?.message || "Automated OpenEnv workflow failed.");
} finally {
setEnvBusy(false);
}
};
useEffect(() => {
refreshEndpointHealth();
refreshCatalog();
refreshJobs();
// eslint-disable-next-line react-hooks/exhaustive-deps
}, []);
useEffect(() => {
const t = setInterval(() => {
refreshJobs();
}, 5000);
return () => clearInterval(t);
// eslint-disable-next-line react-hooks/exhaustive-deps
}, []);
useEffect(() => {
const t = setInterval(() => {
refreshEndpointHealth();
}, 15000);
return () => clearInterval(t);
// eslint-disable-next-line react-hooks/exhaustive-deps
}, []);
useEffect(() => {
if (!activeJobId) return undefined;
let cancelled = false;
const t = setInterval(async () => {
if (cancelled) return;
try {
const snapshotRaw = await api(`/training_jobs/${activeJobId}`);
if (cancelled) return;
const snapshot = normalizeJob(snapshotRaw, 0);
setActiveJob(snapshot);
parseAndSetPoints(snapshot);
setJobError("");
pollFailuresRef.current = 0;
if (pollIntervalMs !== 1500) setPollIntervalMs(1500);
} catch (err) {
pollFailuresRef.current += 1;
if (pollFailuresRef.current >= 3) {
setPollIntervalMs(4000);
setJobError(err?.message || "Polling failed repeatedly, switched to fallback polling.");
}
}
}, pollIntervalMs);
return () => {
cancelled = true;
clearInterval(t);
};
}, [activeJobId, pollIntervalMs]);
useEffect(() => {
if (!activeJobId) return;
const row = jobs.find((j) => j.job_id === activeJobId);
if (!row) return;
setActiveJob(row);
parseAndSetPoints(row);
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [activeJobId, jobs]);
const progressA = useMemo(() => {
if (!activeJob) return null;
const p = toNumberOrNull(activeJob.progress);
return Number.isFinite(p) ? Math.max(0, Math.min(1, Number(p))) : null;
}, [activeJob]);
const progressB = useMemo(() => {
if (!activeJob) return null;
const history = Array.isArray(activeJob?.metric_history) ? activeJob.metric_history : [];
const historyTs = history.length > 0 ? toNumberOrNull(history[history.length - 1]?.t ?? history[history.length - 1]?.total_timesteps) : null;
const ts = toNumberOrNull(activeJob?.latest_metrics?.total_timesteps) ?? historyTs;
const total = toNumberOrNull(activeJob?.timesteps);
if (!Number.isFinite(ts) || !Number.isFinite(total) || total <= 0) return null;
return Math.max(0, Math.min(1, Number(ts) / Number(total)));
}, [activeJob]);
const progressC = useMemo(() => {
if (!activeJob) return null;
const total = toNumberOrNull(activeJob?.timesteps);
if (!Number.isFinite(total) || total <= 0) {
return Number.isFinite(logProgressRatio) ? Number(logProgressRatio) : null;
}
const fromLogTs =
Number.isFinite(lastLoggedTimesteps) && Number(lastLoggedTimesteps) > 0
? Math.max(0, Math.min(1, Number(lastLoggedTimesteps) / Number(total)))
: null;
if (Number.isFinite(fromLogTs) && Number.isFinite(logProgressRatio)) {
return Math.max(Number(fromLogTs), Number(logProgressRatio));
}
if (Number.isFinite(fromLogTs)) return Number(fromLogTs);
if (Number.isFinite(logProgressRatio)) return Number(logProgressRatio);
return null;
}, [activeJob, lastLoggedTimesteps, logProgressRatio]);
const effectiveProgress = useMemo(() => {
const values = [progressA, progressB, progressC].filter((v) => Number.isFinite(v));
return values.length > 0 ? Math.max(...values) : null;
}, [progressA, progressB, progressC]);
const rewardLatest = rewardPoints.length ? rewardPoints[rewardPoints.length - 1].value : null;
const rewardBest = rewardPoints.length ? Math.max(...rewardPoints.map((p) => p.value)) : null;
const scoreLatest = scorePoints.length ? scorePoints[scorePoints.length - 1].value : null;
const scoreBest = scorePoints.length ? Math.max(...scorePoints.map((p) => p.value)) : null;
const rewardSeries = useMemo(() => normalizeSeries(rewardPoints), [rewardPoints]);
const scoreSeries = useMemo(() => normalizeSeries(scorePoints), [scorePoints]);
const graphXMin = useMemo(() => {
const allTs = [...rewardSeries, ...scoreSeries].map((p) => Number(p.t)).filter(Number.isFinite);
if (allTs.length === 0) return 0;
return Math.min(...allTs);
}, [rewardSeries, scoreSeries]);
const graphXMax = useMemo(() => {
const allTs = [...rewardSeries, ...scoreSeries].map((p) => Number(p.t)).filter(Number.isFinite);
if (allTs.length === 0) return 1;
const mx = Math.max(...allTs);
return mx > graphXMin ? mx : graphXMin + 1;
}, [rewardSeries, scoreSeries, graphXMin]);
const rewardMin = rewardPoints.length ? Math.min(...rewardPoints.map((p) => p.value), -10) : -10;
const rewardMax = rewardPoints.length ? Math.max(...rewardPoints.map((p) => p.value), 10) : 10;
const scoreMin = scorePoints.length ? Math.min(...scorePoints.map((p) => p.value), 0) : 0;
const scoreMax = scorePoints.length ? Math.max(...scorePoints.map((p) => p.value), 1) : 1;
const rewardPolyline = useMemo(
() =>
toPolylineByT(rewardSeries, {
minX: graphXMin,
maxX: graphXMax,
minY: rewardMin,
maxY: rewardMax,
width: 700,
height: 260,
}),
[rewardSeries, graphXMin, graphXMax, rewardMin, rewardMax]
);
const scoreStairPolyline = useMemo(
() =>
toStairPolylineByT(scoreSeries, {
minX: graphXMin,
maxX: graphXMax,
minY: scoreMin,
maxY: scoreMax,
width: 700,
height: 260,
}),
[scoreSeries, graphXMin, graphXMax, scoreMin, scoreMax]
);
const llmStoryCards = useMemo(() => {
const cards = [];
let seq = 1;
if (activeJob) {
cards.push({
id: `story-${seq}`,
seq: seq++,
title: "Training Context",
text: `Phase ${activeJob?.phase || "-"} job ${String(activeJob?.job_id || "").slice(0, 8)} is ${activeJob?.status || "unknown"} at ${fmt((Number(activeJob?.progress || 0) * 100), 1)}%.`,
tone: "cyan",
});
if (rewardSeries.length >= 2 || scoreSeries.length >= 2) {
const rewardStart = rewardSeries.length > 0 ? rewardSeries[0].value : null;
const rewardEnd = rewardSeries.length > 0 ? rewardSeries[rewardSeries.length - 1].value : null;
const scoreStart = scoreSeries.length > 0 ? scoreSeries[0].value : null;
const scoreEnd = scoreSeries.length > 0 ? scoreSeries[scoreSeries.length - 1].value : null;
cards.push({
id: `story-${seq}`,
seq: seq++,
title: "Learning Trend",
text: `Reward ${rewardStart != null ? fmt(rewardStart, 2) : "-"} -> ${rewardEnd != null ? fmt(rewardEnd, 2) : "-"}; ${scoreSignalMeta.label.toLowerCase()} ${scoreStart != null ? fmt(scoreStart, 3) : "-"} -> ${scoreEnd != null ? fmt(scoreEnd, 3) : "-"}.`,
tone: "indigo",
});
}
}
for (const line of (logLines || []).slice(-14)) {
const row = summarizeLogLine(line);
cards.push({
id: `log-${seq}-${line.slice(0, 8)}`,
seq: seq++,
title: row.title,
text: row.text,
tone: row.tone,
});
}
const evalRows = Array.isArray(activeJob?.evaluation_rows) ? activeJob.evaluation_rows : [];
for (const row of evalRows) {
cards.push({
id: `eval-${seq}-${row.task_id}`,
seq: seq++,
title: "Evaluation Replay",
text: `${row.task_id}: score ${fmt(row.grader_score, 3)}, reward ${fmt(row.total_reward, 2)}, completed ${row.total_completed}, breaches ${row.total_sla_breaches}.`,
tone: "emerald",
});
}
if (toNumberOrNull(activeJob?.evaluation_avg_score) != null) {
cards.push({
id: `eval-avg-${seq}`,
seq: seq++,
title: "Evaluation Summary",
text: `Average grader score ${fmt(activeJob.evaluation_avg_score, 3)} across evaluated tasks.`,
tone: "emerald",
});
}
for (const event of (envFlowEvents || []).slice(-10)) {
cards.push({
id: `replay-${seq}-${event.id}`,
seq: seq++,
title: "OpenEnv Replay",
text: summarizeEnvEvent(event),
tone: event?.tone || "cyan",
});
}
return cards.slice(-32);
}, [activeJob, rewardSeries, scoreSeries, logLines, envFlowEvents, scoreSignalMeta.label]);
const progressText = (v) => (Number.isFinite(v) ? `${fmt(Number(v) * 100, 1)}%` : "-");
const currentTs = useMemo(() => {
const history = Array.isArray(activeJob?.metric_history) ? activeJob.metric_history : [];
const histTs = history.length > 0 ? toNumberOrNull(history[history.length - 1]?.t ?? history[history.length - 1]?.total_timesteps) : null;
return toNumberOrNull(activeJob?.latest_metrics?.total_timesteps) ?? histTs ?? lastLoggedTimesteps;
}, [activeJob, lastLoggedTimesteps]);
const currentReward = useMemo(() => {
const history = Array.isArray(activeJob?.metric_history) ? activeJob.metric_history : [];
const histReward = history.length > 0 ? toNumberOrNull(history[history.length - 1]?.ep_rew_mean ?? history[history.length - 1]?.mean_reward) : null;
return toNumberOrNull(activeJob?.latest_metrics?.ep_rew_mean)
?? toNumberOrNull(activeJob?.latest_metrics?.mean_reward)
?? histReward;
}, [activeJob]);
const currentScore = scoreLatest;
return (
<div className="space-y-6">
<div className="bg-slate-900/70 border border-white/5 rounded-xl p-5">
<div className="flex items-center justify-between gap-3 mb-3">
<h2 className="text-lg font-black text-white flex items-center gap-2">
<span className="material-symbols-outlined text-indigo-400">hub</span>
Endpoint Connectivity Matrix
</h2>
<button
onClick={refreshEndpointHealth}
className="text-xs font-bold px-3 py-1.5 rounded-lg bg-indigo-600/70 hover:bg-indigo-500 text-white"
>
Refresh Endpoints
</button>
</div>
{endpointError && (
<div className="mb-3 text-xs font-semibold text-amber-300 bg-amber-500/10 border border-amber-500/20 rounded p-2">
{endpointError}
</div>
)}
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-3">
{endpointRows.map((row) => (
<div
key={row.key}
className={`border rounded-lg p-3 ${
row.ok ? "border-emerald-500/25 bg-emerald-500/5" : "border-rose-500/25 bg-rose-500/5"
}`}
>
<div className="flex items-center justify-between">
<div className="text-sm font-bold text-white">{row.label}</div>
<span className={`text-[10px] font-black ${row.ok ? "text-emerald-400" : "text-rose-400"}`}>
{row.ok ? "UP" : "DOWN"}
</span>
</div>
<div className="text-xs text-slate-400 mt-1">
{row.ok ? `${row.ms} ms` : row.error || "unreachable"}
</div>
</div>
))}
</div>
</div>
<div className="bg-slate-900/70 border border-white/5 rounded-xl p-5">
<div className="flex flex-wrap items-center justify-between gap-3 mb-4">
<h2 className="text-lg font-black text-white flex items-center gap-2">
<span className="material-symbols-outlined text-violet-400">tune</span>
Live Training Control
</h2>
<div className="flex items-center gap-2">
<button
onClick={startTrainingJob}
className="text-sm font-bold px-4 py-2 rounded-lg bg-violet-600 hover:bg-violet-500 text-white"
>
Start Training Job
</button>
<button
onClick={stopTrainingJob}
disabled={!activeJobId}
className="text-sm font-bold px-4 py-2 rounded-lg bg-rose-600 hover:bg-rose-500 text-white disabled:opacity-50"
>
Stop Active Job
</button>
<button
onClick={clearTrainingHistory}
className="text-sm font-bold px-4 py-2 rounded-lg bg-slate-700 hover:bg-slate-600 text-white"
>
Clear Job History
</button>
</div>
</div>
{jobError && (
<div className="mb-3 text-xs font-semibold text-rose-300 bg-rose-500/10 border border-rose-500/20 rounded p-2">
{jobError}
</div>
)}
<div className="grid grid-cols-1 md:grid-cols-4 gap-3 mb-3">
<label className="text-xs text-slate-300">
Phase
<select
value={jobForm.phase}
onChange={(e) => setJobForm((prev) => ({ ...prev, phase: Number(e.target.value) }))}
className="mt-1 w-full bg-slate-800 border border-white/10 rounded px-2 py-2 text-sm text-white"
>
<option value={1}>Phase 1</option>
<option value={2}>Phase 2</option>
</select>
</label>
<label className="text-xs text-slate-300">
Timesteps
<input
value={jobForm.timesteps}
onChange={(e) => setJobForm((prev) => ({ ...prev, timesteps: e.target.value }))}
className="mt-1 w-full bg-slate-800 border border-white/10 rounded px-2 py-2 text-sm text-white"
/>
</label>
<label className="text-xs text-slate-300">
N Envs
<input
value={jobForm.n_envs}
onChange={(e) => setJobForm((prev) => ({ ...prev, n_envs: e.target.value }))}
className="mt-1 w-full bg-slate-800 border border-white/10 rounded px-2 py-2 text-sm text-white"
/>
</label>
<label className="text-xs text-slate-300">
Seed (optional)
<input
value={jobForm.seed}
onChange={(e) => setJobForm((prev) => ({ ...prev, seed: e.target.value }))}
className="mt-1 w-full bg-slate-800 border border-white/10 rounded px-2 py-2 text-sm text-white"
/>
</label>
</div>
<div className="flex flex-wrap gap-2">
<button
onClick={() => setJobForm((prev) => ({ ...prev, timesteps: 30000, n_envs: Math.max(4, Number(prev.n_envs || 4)) }))}
className="text-xs font-bold px-3 py-1.5 rounded bg-indigo-600/70 hover:bg-indigo-500 text-white"
>
Quick Demo Preset
</button>
<button
onClick={() => setJobForm((prev) => ({ ...prev, timesteps: 120000, n_envs: 4 }))}
className="text-xs font-bold px-3 py-1.5 rounded bg-slate-700 hover:bg-slate-600 text-white"
>
Default Preset
</button>
</div>
</div>
<div className="bg-slate-900/70 border border-white/5 rounded-xl p-5">
<h2 className="text-lg font-black text-white flex items-center gap-2 mb-4">
<span className="material-symbols-outlined text-indigo-400">monitoring</span>
Live Metrics and Storytelling Timeline
</h2>
<div className="grid grid-cols-1 lg:grid-cols-4 gap-3 mb-4">
<div className="bg-slate-950/50 border border-white/5 rounded p-3">
<div className="text-[11px] uppercase text-slate-400">Active Job Status</div>
<div className={`mt-2 inline-flex px-2 py-1 rounded border text-xs font-bold ${statusClasses(activeJob?.status)}`}>
{activeJob?.status || "idle"}
</div>
</div>
<div className="bg-slate-950/50 border border-white/5 rounded p-3">
<div className="text-[11px] uppercase text-slate-400">Current Timesteps</div>
<div className="mt-2 text-xl font-black text-indigo-300">{currentTs != null ? Number(currentTs).toLocaleString() : "-"}</div>
</div>
<div className="bg-slate-950/50 border border-white/5 rounded p-3">
<div className="text-[11px] uppercase text-slate-400">Current Reward</div>
<div className="mt-2 text-xl font-black text-amber-300">{currentReward != null ? fmt(currentReward, 3) : "-"}</div>
</div>
<div className="bg-slate-950/50 border border-white/5 rounded p-3">
<div className="text-[11px] uppercase text-slate-400">Current {scoreSignalMeta.label}</div>
<div className="mt-2 text-xl font-black text-emerald-300">{currentScore != null ? fmt(currentScore, 3) : "-"}</div>
</div>
</div>
<div className="mb-4 flex flex-wrap items-center gap-3">
<label className="text-xs text-slate-300">
Story Job (active + history)
<select
value={activeJobId}
onChange={(e) => setActiveJobId(e.target.value)}
className="mt-1 min-w-[260px] bg-slate-800 border border-white/10 rounded px-2 py-2 text-sm text-white"
>
{jobs.map((job) => (
<option key={job.job_id} value={job.job_id}>
{String(job.job_id).slice(0, 8)} | phase {job.phase || "-"} | {job.status}
</option>
))}
</select>
</label>
<div className="text-[11px] text-slate-400">
Reward line (left axis) + {scoreSignalMeta.label} stair-step line (right axis), updated from live backend metrics.
</div>
</div>
<div className="bg-slate-950/50 border border-white/5 rounded p-3 mb-4">
<div className="flex items-center justify-between mb-2">
<div className="text-xs uppercase tracking-widest text-slate-400">Combined Reward and Score (Dual Axis)</div>
<div className="text-[11px] text-slate-500">
timesteps {Number.isFinite(graphXMin) ? Number(graphXMin).toLocaleString() : "-"} - {Number.isFinite(graphXMax) ? Number(graphXMax).toLocaleString() : "-"}
</div>
</div>
{rewardSeries.length === 0 && scoreSeries.length === 0 ? (
<div className="h-[260px] flex items-center justify-center text-slate-500 text-sm">
Waiting for live metric history from training logs...
</div>
) : (
<div className="relative">
<svg viewBox="0 0 700 260" className="w-full h-[260px]">
{[0, 1, 2, 3, 4].map((i) => (
<line
key={`grid-${i}`}
x1="0"
x2="700"
y1={String((260 / 4) * i)}
y2={String((260 / 4) * i)}
stroke="#334155"
strokeOpacity="0.35"
strokeWidth="1"
/>
))}
{rewardPolyline ? (
<polyline
points={rewardPolyline}
fill="none"
stroke="#818cf8"
strokeWidth="2.2"
strokeLinejoin="round"
strokeLinecap="round"
/>
) : null}
{scoreStairPolyline ? (
<polyline
points={scoreStairPolyline}
fill="none"
stroke="#34d399"
strokeWidth="2.2"
strokeLinejoin="round"
strokeLinecap="round"
/>
) : null}
</svg>
<div className="absolute top-1 left-2 text-[10px] text-indigo-300">
Reward min {rewardMin.toFixed(2)} | max {rewardMax.toFixed(2)}
</div>
<div className="absolute top-1 right-2 text-[10px] text-emerald-300">
{scoreSignalMeta.label} min {scoreMin.toFixed(3)} | max {scoreMax.toFixed(3)}
</div>
</div>
)}
<div className="mt-2 text-xs text-slate-300">
reward current: {rewardLatest != null ? rewardLatest.toFixed(3) : "-"} | reward best: {rewardBest != null ? rewardBest.toFixed(3) : "-"} | {scoreSignalMeta.label.toLowerCase()} current: {scoreLatest != null ? scoreLatest.toFixed(3) : "-"} | {scoreSignalMeta.label.toLowerCase()} best: {scoreBest != null ? scoreBest.toFixed(3) : "-"}
</div>
<div className="mt-1 text-[11px] text-slate-500">
Legend: <span className="text-indigo-300">Reward (line)</span> - <span className="text-emerald-300">{scoreSignalMeta.label} (stair-step hold-last-value)</span>{scoreSignalMeta.fallback ? " - fallback metric used because grader score has no live movement yet." : ""}
</div>
</div>
<div className="bg-slate-950/50 border border-white/5 rounded p-3">
<div className="flex items-center justify-between mb-3">
<div className="text-xs uppercase tracking-widest text-slate-400">LLM Story Feed (logs + replay + evaluation)</div>
<div className="text-[11px] text-slate-500">Sequential order - {llmStoryCards.length} cards</div>
</div>
{llmStoryCards.length === 0 ? (
<div className="text-slate-500 text-sm">No storyline events yet.</div>
) : (
<div className="space-y-2 max-h-[340px] overflow-auto pr-1">
{llmStoryCards.map((card) => (
<div key={card.id} className={`border rounded p-2.5 ${toneClasses(card.tone)}`}>
<div className="flex items-center justify-between mb-1">
<div className="text-[11px] font-bold text-white">{card.title}</div>
<div className="text-[10px] text-slate-400">#{card.seq}</div>
</div>
<div className="text-[11px] text-slate-300 font-mono leading-relaxed break-words">{card.text}</div>
</div>
))}
</div>
)}
</div>
</div>
<div className="grid grid-cols-1 lg:grid-cols-2 gap-4">
<div className="bg-slate-900/70 border border-white/5 rounded-xl p-5">
<div className="flex items-center justify-between mb-3">
<h2 className="text-lg font-black text-white flex items-center gap-2">
<span className="material-symbols-outlined text-amber-400">history</span>
Training Job History
</h2>
<div className="flex items-center gap-2">
<button
onClick={() => deleteTrainingJob(activeJobId)}
disabled={!activeJobId || !!deletingJobId}
className="text-xs font-bold px-3 py-1.5 rounded bg-rose-600/70 hover:bg-rose-500 text-white disabled:opacity-50"
>
{deletingJobId && deletingJobId === activeJobId ? "Deleting..." : "Delete Selected"}
</button>
<button
onClick={refreshJobs}
className="text-xs font-bold px-3 py-1.5 rounded bg-amber-600/70 hover:bg-amber-500 text-white"
>
Refresh Jobs
</button>
</div>
</div>
{jobsError && <div className="text-xs text-rose-300 mb-2">{jobsError}</div>}
{jobsLoading ? (
<div className="text-sm text-slate-400">Loading jobs...</div>
) : (
<div className="max-h-80 overflow-auto border border-white/5 rounded">
<table className="w-full text-xs">
<thead className="bg-slate-800/70 text-slate-300 sticky top-0">
<tr>
<th className="px-2 py-2 text-left">Job</th>
<th className="px-2 py-2 text-left">Status</th>
<th className="px-2 py-2 text-left">Phase</th>
<th className="px-2 py-2 text-left">Progress</th>
<th className="px-2 py-2 text-left">Updated</th>
<th className="px-2 py-2 text-left">Action</th>
</tr>
</thead>
<tbody>
{jobs.map((job) => {
const updated = timestampToDate(job.updated_at);
return (
<tr
key={job.job_id}
className={`border-t border-white/5 cursor-pointer hover:bg-white/5 ${
activeJobId === job.job_id ? "bg-indigo-500/10" : ""
}`}
onClick={() => setActiveJobId(job.job_id)}
>
<td className="px-2 py-2 text-indigo-300 font-mono">{String(job.job_id || "").slice(0, 8)}</td>
<td className="px-2 py-2">
<span className={`px-2 py-0.5 rounded border text-[11px] font-bold ${statusClasses(job.status)}`}>
{job.status}
</span>
</td>
<td className="px-2 py-2 text-slate-300">{job.phase || "-"}</td>
<td className="px-2 py-2 text-slate-300">{fmt((Number(job.progress || 0) * 100), 1)}%</td>
<td className="px-2 py-2 text-slate-400">{updated ? updated.toLocaleTimeString() : "-"}</td>
<td className="px-2 py-2">
<button
onClick={(e) => {
e.stopPropagation();
deleteTrainingJob(job.job_id);
}}
disabled={!!deletingJobId}
className="text-[11px] font-bold px-2 py-1 rounded bg-rose-600/70 hover:bg-rose-500 text-white disabled:opacity-50"
>
{deletingJobId === job.job_id ? "Deleting..." : "Delete"}
</button>
</td>
</tr>
);
})}
{jobs.length === 0 && (
<tr>
<td className="px-2 py-3 text-slate-500" colSpan={6}>
No training jobs found.
</td>
</tr>
)}
</tbody>
</table>
</div>
)}
</div>
<div className="bg-slate-900/70 border border-white/5 rounded-xl p-5">
<div className="flex items-center justify-between mb-3">
<h2 className="text-lg font-black text-white flex items-center gap-2">
<span className="material-symbols-outlined text-emerald-400">database</span>
Model Registry (Dynamic)
</h2>
<button
onClick={refreshCatalog}
className="text-xs font-bold px-3 py-1.5 rounded bg-emerald-600/70 hover:bg-emerald-500 text-white"
>
Refresh Models
</button>
</div>
{modelError && <div className="text-xs text-amber-300 mb-2">{modelError}</div>}
<div className="max-h-80 overflow-auto border border-white/5 rounded">
<table className="w-full text-xs">
<thead className="bg-slate-800/70 text-slate-300 sticky top-0">
<tr>
<th className="px-2 py-2 text-left">Label</th>
<th className="px-2 py-2 text-left">Phase</th>
<th className="px-2 py-2 text-left">Source</th>
<th className="px-2 py-2 text-left">Exists</th>
</tr>
</thead>
<tbody>
{modelRows.map((m) => (
<tr key={`${m.path}-${m.source}`} className="border-t border-white/5">
<td className="px-2 py-2 text-slate-200">
<div>{m.label}</div>
<div className="text-[11px] text-slate-500 truncate max-w-[280px]">{m.path || "-"}</div>
</td>
<td className="px-2 py-2 text-slate-300">{m.phase || "-"}</td>
<td className="px-2 py-2 text-slate-300">{m.source || "-"}</td>
<td className={`px-2 py-2 ${m.exists ? "text-emerald-300" : "text-rose-300"}`}>
{m.exists ? "yes" : "no"}
</td>
</tr>
))}
{modelRows.length === 0 && (
<tr>
<td className="px-2 py-3 text-slate-500" colSpan={4}>
No models discovered.
</td>
</tr>
)}
</tbody>
</table>
</div>
</div>
</div>
<div className="bg-slate-900/70 border border-white/5 rounded-xl p-5">
<h2 className="text-lg font-black text-white flex items-center gap-2 mb-4">
<span className="material-symbols-outlined text-fuchsia-400">api</span>
Automated OpenEnv Workflow (`reset`, `step`, `state`, `grade`)
</h2>
<div className="text-xs text-slate-400 mb-3">
Runs sequentially across all available tasks and records each stage in chronological order.
</div>
{envError && (
<div className="mb-3 text-xs font-semibold text-rose-300 bg-rose-500/10 border border-rose-500/20 rounded p-2">
{envError}
</div>
)}
<div className="grid grid-cols-1 md:grid-cols-4 gap-3 mb-3">
<label className="text-xs text-slate-300">
Task Scope
<input
value={`${(Array.isArray(tasks) && tasks.length > 0 ? tasks.length : 1)} task(s) automatic`}
readOnly
className="mt-1 w-full bg-slate-800 border border-white/10 rounded px-2 py-2 text-sm text-white"
/>
</label>
<label className="text-xs text-slate-300">
Seed (optional)
<input
value={envSeed}
onChange={(e) => setEnvSeed(e.target.value)}
className="mt-1 w-full bg-slate-800 border border-white/10 rounded px-2 py-2 text-sm text-white"
/>
</label>
<label className="text-xs text-slate-300">
Auto-Step Policy
<select
value={envPolicyName}
onChange={(e) => setEnvPolicyName(e.target.value)}
className="mt-1 w-full bg-slate-800 border border-white/10 rounded px-2 py-2 text-sm text-white"
>
{(agents.length > 0 ? agents : ["backlog_clearance"]).map((p) => (
<option key={p} value={p}>
{p}
</option>
))}
</select>
</label>
<label className="text-xs text-slate-300">
Max Automated Steps
<input
value={envMaxSteps}
onChange={(e) => setEnvMaxSteps(e.target.value)}
className="mt-1 w-full bg-slate-800 border border-white/10 rounded px-2 py-2 text-sm text-white"
/>
</label>
</div>
<div className="flex gap-2 mb-4">
<button
onClick={runAutomatedOpenEnvFlow}
disabled={envBusy}
className="text-sm font-bold px-4 py-2 rounded-lg bg-fuchsia-600 hover:bg-fuchsia-500 text-white disabled:opacity-50"
>
{envBusy ? "Running Workflow..." : "Proceed"}
</button>
</div>
{envFlowSummary && (
<div className="mb-3 bg-slate-950/50 border border-white/5 rounded p-3 text-xs">
<div className="text-slate-300">Tasks Executed: <span className="font-bold text-white">{envFlowSummary.tasks_executed}</span></div>
<div className="text-slate-300">Total Steps Executed: <span className="font-bold text-white">{envFlowSummary.total_steps_executed}</span></div>
<div className="text-slate-300">Average Score: <span className="font-bold text-emerald-300">{envFlowSummary.avg_score != null ? fmt(envFlowSummary.avg_score, 3) : "-"}</span></div>
<div className="text-slate-300">Passed Tasks: <span className="font-bold text-cyan-300">{envFlowSummary.passed_tasks}</span></div>
</div>
)}
{envFlowRuns.length > 0 && (
<div className="mb-3 border border-white/5 rounded overflow-auto">
<table className="w-full text-xs">
<thead className="bg-slate-800/70 text-slate-300">
<tr>
<th className="px-2 py-2 text-left">Task</th>
<th className="px-2 py-2 text-left">Steps</th>
<th className="px-2 py-2 text-left">Score</th>
<th className="px-2 py-2 text-left">Completed</th>
<th className="px-2 py-2 text-left">Backlog</th>
<th className="px-2 py-2 text-left">SLA Breaches</th>
<th className="px-2 py-2 text-left">Passed</th>
</tr>
</thead>
<tbody>
{envFlowRuns.map((row) => (
<tr key={`run-${row.task_id}`} className="border-t border-white/5">
<td className="px-2 py-2 text-slate-200">{row.task_id}</td>
<td className="px-2 py-2 text-slate-300">{row.steps_executed}</td>
<td className="px-2 py-2 text-emerald-300">{row.score != null ? fmt(row.score, 3) : "-"}</td>
<td className="px-2 py-2 text-slate-300">{row.final_completed ?? "-"}</td>
<td className="px-2 py-2 text-slate-300">{row.final_backlog ?? "-"}</td>
<td className="px-2 py-2 text-slate-300">{row.final_sla_breaches ?? "-"}</td>
<td className={`px-2 py-2 ${row.passed === true ? "text-emerald-300" : row.passed === false ? "text-rose-300" : "text-slate-400"}`}>
{row.passed === true ? "true" : row.passed === false ? "false" : "-"}
</td>
</tr>
))}
</tbody>
</table>
</div>
)}
<div className="space-y-2 max-h-[380px] overflow-auto pr-1">
{envFlowEvents.length === 0 ? (
<div className="text-slate-500 text-sm">No automated workflow events yet.</div>
) : (
envFlowEvents.map((event) => (
<div key={event.id} className={`border rounded p-3 ${toneClasses(event.tone)}`}>
<div className="flex items-center justify-between mb-1">
<div className="text-xs uppercase tracking-widest text-slate-400">{workflowStageLabel(event.stage)}</div>
<div className="text-[10px] text-slate-400">
#{event.seq} | {new Date(event.ts).toLocaleTimeString()}
</div>
</div>
<div className="text-xs text-slate-200 leading-relaxed">
{summarizeEnvEvent(event)}
</div>
{payloadHighlights(event.payload).length > 0 && (
<div className="mt-2 flex flex-wrap gap-1">
{payloadHighlights(event.payload).map(([k, v]) => (
<span
key={`${event.id}-${k}`}
className="text-[10px] bg-slate-800/70 border border-white/10 rounded px-1.5 py-0.5 text-slate-300"
>
{k}: {v}
</span>
))}
</div>
)}
</div>
))
)}
</div>
</div>
</div>
);
}
|