Humanize run transcripts across run detail and live surfaces

Co-Authored-By: Paperclip <noreply@paperclip.ing>
This commit is contained in:
Dotta
2026-03-11 10:35:41 -05:00
parent 4670f60d3e
commit 87b8e21701
15 changed files with 1179 additions and 1098 deletions

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import { useEffect, useMemo, useState, type ReactNode } from "react";
import type { TranscriptEntry } from "../../adapters";
import { MarkdownBody } from "../MarkdownBody";
import { cn, formatTokens, relativeTime } from "../../lib/utils";
import {
Bot,
BrainCircuit,
ChevronDown,
ChevronRight,
CircleAlert,
Info,
TerminalSquare,
User,
Wrench,
} from "lucide-react";
export type TranscriptMode = "nice" | "raw";
export type TranscriptDensity = "comfortable" | "compact";
interface RunTranscriptViewProps {
entries: TranscriptEntry[];
mode?: TranscriptMode;
density?: TranscriptDensity;
limit?: number;
streaming?: boolean;
emptyMessage?: string;
className?: string;
}
type TranscriptBlock =
| {
type: "message";
role: "assistant" | "user";
ts: string;
text: string;
streaming: boolean;
}
| {
type: "thinking";
ts: string;
text: string;
streaming: boolean;
}
| {
type: "tool";
ts: string;
endTs?: string;
name: string;
toolUseId?: string;
input: unknown;
result?: string;
isError?: boolean;
status: "running" | "completed" | "error";
}
| {
type: "event";
ts: string;
label: string;
tone: "info" | "warn" | "error" | "neutral";
text: string;
detail?: string;
};
function asRecord(value: unknown): Record<string, unknown> | null {
if (typeof value !== "object" || value === null || Array.isArray(value)) return null;
return value as Record<string, unknown>;
}
function compactWhitespace(value: string): string {
return value.replace(/\s+/g, " ").trim();
}
function truncate(value: string, max: number): string {
return value.length > max ? `${value.slice(0, Math.max(0, max - 1))}` : value;
}
function stripMarkdown(value: string): string {
return compactWhitespace(
value
.replace(/```[\s\S]*?```/g, " code ")
.replace(/`([^`]+)`/g, "$1")
.replace(/\[([^\]]+)\]\([^)]+\)/g, "$1")
.replace(/[*_#>-]/g, " "),
);
}
function formatTimestamp(ts: string): string {
const date = new Date(ts);
if (Number.isNaN(date.getTime())) return ts;
return date.toLocaleTimeString("en-US", { hour12: false });
}
function formatUnknown(value: unknown): string {
if (typeof value === "string") return value;
if (value === null || value === undefined) return "";
try {
return JSON.stringify(value, null, 2);
} catch {
return String(value);
}
}
function formatToolPayload(value: unknown): string {
if (typeof value === "string") {
try {
return JSON.stringify(JSON.parse(value), null, 2);
} catch {
return value;
}
}
return formatUnknown(value);
}
function extractToolUseId(input: unknown): string | undefined {
const record = asRecord(input);
if (!record) return undefined;
const candidates = [
record.toolUseId,
record.tool_use_id,
record.callId,
record.call_id,
record.id,
];
for (const candidate of candidates) {
if (typeof candidate === "string" && candidate.trim()) {
return candidate;
}
}
return undefined;
}
function summarizeRecord(record: Record<string, unknown>, keys: string[]): string | null {
for (const key of keys) {
const value = record[key];
if (typeof value === "string" && value.trim()) {
return truncate(compactWhitespace(value), 120);
}
}
return null;
}
function summarizeToolInput(name: string, input: unknown, density: TranscriptDensity): string {
const compactMax = density === "compact" ? 72 : 120;
if (typeof input === "string") return truncate(compactWhitespace(input), compactMax);
const record = asRecord(input);
if (!record) {
const serialized = compactWhitespace(formatUnknown(input));
return serialized ? truncate(serialized, compactMax) : `Inspect ${name} input`;
}
const direct =
summarizeRecord(record, ["command", "cmd", "path", "filePath", "file_path", "query", "url", "prompt", "message"])
?? summarizeRecord(record, ["pattern", "name", "title", "target", "tool"])
?? null;
if (direct) return truncate(direct, compactMax);
if (Array.isArray(record.paths) && record.paths.length > 0) {
const first = record.paths.find((value): value is string => typeof value === "string" && value.trim().length > 0);
if (first) {
return truncate(`${record.paths.length} paths, starting with ${first}`, compactMax);
}
}
const keys = Object.keys(record);
if (keys.length === 0) return `No ${name} input`;
if (keys.length === 1) return truncate(`${keys[0]} payload`, compactMax);
return truncate(`${keys.length} fields: ${keys.slice(0, 3).join(", ")}`, compactMax);
}
function summarizeToolResult(result: string | undefined, isError: boolean | undefined, density: TranscriptDensity): string {
if (!result) return isError ? "Tool failed" : "Waiting for result";
const lines = result
.split(/\r?\n/)
.map((line) => compactWhitespace(line))
.filter(Boolean);
const firstLine = lines[0] ?? result;
return truncate(firstLine, density === "compact" ? 84 : 140);
}
function normalizeTranscript(entries: TranscriptEntry[], streaming: boolean): TranscriptBlock[] {
const blocks: TranscriptBlock[] = [];
const pendingToolBlocks = new Map<string, Extract<TranscriptBlock, { type: "tool" }>>();
for (const entry of entries) {
const previous = blocks[blocks.length - 1];
if (entry.kind === "assistant" || entry.kind === "user") {
const isStreaming = streaming && entry.kind === "assistant" && entry.delta === true;
if (previous?.type === "message" && previous.role === entry.kind) {
previous.text += previous.text.endsWith("\n") || entry.text.startsWith("\n") ? entry.text : `\n${entry.text}`;
previous.ts = entry.ts;
previous.streaming = previous.streaming || isStreaming;
} else {
blocks.push({
type: "message",
role: entry.kind,
ts: entry.ts,
text: entry.text,
streaming: isStreaming,
});
}
continue;
}
if (entry.kind === "thinking") {
const isStreaming = streaming && entry.delta === true;
if (previous?.type === "thinking") {
previous.text += previous.text.endsWith("\n") || entry.text.startsWith("\n") ? entry.text : `\n${entry.text}`;
previous.ts = entry.ts;
previous.streaming = previous.streaming || isStreaming;
} else {
blocks.push({
type: "thinking",
ts: entry.ts,
text: entry.text,
streaming: isStreaming,
});
}
continue;
}
if (entry.kind === "tool_call") {
const toolBlock: Extract<TranscriptBlock, { type: "tool" }> = {
type: "tool",
ts: entry.ts,
name: entry.name,
toolUseId: entry.toolUseId ?? extractToolUseId(entry.input),
input: entry.input,
status: "running",
};
blocks.push(toolBlock);
if (toolBlock.toolUseId) {
pendingToolBlocks.set(toolBlock.toolUseId, toolBlock);
}
continue;
}
if (entry.kind === "tool_result") {
const matched =
pendingToolBlocks.get(entry.toolUseId)
?? [...blocks].reverse().find((block): block is Extract<TranscriptBlock, { type: "tool" }> => block.type === "tool" && block.status === "running");
if (matched) {
matched.result = entry.content;
matched.isError = entry.isError;
matched.status = entry.isError ? "error" : "completed";
matched.endTs = entry.ts;
pendingToolBlocks.delete(entry.toolUseId);
} else {
blocks.push({
type: "tool",
ts: entry.ts,
endTs: entry.ts,
name: "tool",
toolUseId: entry.toolUseId,
input: null,
result: entry.content,
isError: entry.isError,
status: entry.isError ? "error" : "completed",
});
}
continue;
}
if (entry.kind === "init") {
blocks.push({
type: "event",
ts: entry.ts,
label: "init",
tone: "info",
text: `Model ${entry.model}${entry.sessionId ? ` • session ${entry.sessionId}` : ""}`,
});
continue;
}
if (entry.kind === "result") {
const summary = `tokens in ${formatTokens(entry.inputTokens)} • out ${formatTokens(entry.outputTokens)} • cached ${formatTokens(entry.cachedTokens)}$${entry.costUsd.toFixed(6)}`;
const detailParts = [
entry.text.trim(),
entry.subtype ? `subtype=${entry.subtype}` : "",
entry.errors.length > 0 ? `errors=${entry.errors.join(" | ")}` : "",
].filter(Boolean);
blocks.push({
type: "event",
ts: entry.ts,
label: "result",
tone: entry.isError ? "error" : "info",
text: summary,
detail: detailParts.join("\n\n") || undefined,
});
continue;
}
if (entry.kind === "stderr") {
blocks.push({
type: "event",
ts: entry.ts,
label: "stderr",
tone: "error",
text: entry.text,
});
continue;
}
if (entry.kind === "system") {
blocks.push({
type: "event",
ts: entry.ts,
label: "system",
tone: "warn",
text: entry.text,
});
continue;
}
blocks.push({
type: "event",
ts: entry.ts,
label: "stdout",
tone: "neutral",
text: entry.text,
});
}
return blocks;
}
function TranscriptDisclosure({
icon,
label,
tone,
summary,
timestamp,
defaultOpen,
compact,
children,
}: {
icon: typeof BrainCircuit;
label: string;
tone: "thinking" | "tool";
summary: string;
timestamp: string;
defaultOpen: boolean;
compact: boolean;
children: ReactNode;
}) {
const [open, setOpen] = useState(defaultOpen);
const [touched, setTouched] = useState(false);
useEffect(() => {
if (!touched) {
setOpen(defaultOpen);
}
}, [defaultOpen, touched]);
const Icon = icon;
const borderTone =
tone === "thinking"
? "border-amber-500/25 bg-amber-500/[0.07]"
: "border-cyan-500/25 bg-cyan-500/[0.07]";
const iconTone =
tone === "thinking"
? "text-amber-700 dark:text-amber-300"
: "text-cyan-700 dark:text-cyan-300";
return (
<div className={cn("rounded-2xl border shadow-sm", borderTone, compact ? "p-2.5" : "p-3.5")}>
<button
type="button"
className="flex w-full items-start gap-3 text-left"
onClick={() => {
setTouched(true);
setOpen((current) => !current);
}}
>
<span className={cn("mt-0.5 inline-flex rounded-full border border-current/15 p-1", iconTone)}>
<Icon className={compact ? "h-3.5 w-3.5" : "h-4 w-4"} />
</span>
<span className="min-w-0 flex-1">
<span className="flex items-center gap-2">
<span className="text-[11px] font-semibold uppercase tracking-[0.18em] text-muted-foreground">
{label}
</span>
<span className="text-[10px] text-muted-foreground">{timestamp}</span>
</span>
<span className={cn("mt-1 block min-w-0 break-words text-foreground/80", compact ? "text-xs" : "text-sm")}>
{summary}
</span>
</span>
{open ? <ChevronDown className="mt-1 h-4 w-4 text-muted-foreground" /> : <ChevronRight className="mt-1 h-4 w-4 text-muted-foreground" />}
</button>
{open && <div className={compact ? "mt-2.5" : "mt-3"}>{children}</div>}
</div>
);
}
function TranscriptMessageBlock({
block,
density,
}: {
block: Extract<TranscriptBlock, { type: "message" }>;
density: TranscriptDensity;
}) {
const isAssistant = block.role === "assistant";
const Icon = isAssistant ? Bot : User;
const panelTone = isAssistant
? "border-emerald-500/25 bg-emerald-500/[0.08]"
: "border-violet-500/20 bg-violet-500/[0.07]";
const iconTone = isAssistant
? "text-emerald-700 dark:text-emerald-300"
: "text-violet-700 dark:text-violet-300";
const compact = density === "compact";
return (
<div className={cn("rounded-2xl border shadow-sm", panelTone, compact ? "p-2.5" : "p-4")}>
<div className="mb-2 flex items-center gap-2">
<span className={cn("inline-flex rounded-full border border-current/15 p-1", iconTone)}>
<Icon className={compact ? "h-3.5 w-3.5" : "h-4 w-4"} />
</span>
<span className="text-[11px] font-semibold uppercase tracking-[0.18em] text-muted-foreground">
{isAssistant ? "Assistant" : "User"}
</span>
<span className="text-[10px] text-muted-foreground">{formatTimestamp(block.ts)}</span>
{block.streaming && (
<span className="inline-flex items-center gap-1 rounded-full border border-emerald-500/30 bg-emerald-500/10 px-2 py-0.5 text-[10px] font-medium text-emerald-700 dark:text-emerald-300">
<span className="relative flex h-1.5 w-1.5">
<span className="absolute inline-flex h-full w-full animate-ping rounded-full bg-current opacity-70" />
<span className="relative inline-flex h-1.5 w-1.5 rounded-full bg-current" />
</span>
Streaming
</span>
)}
</div>
{compact ? (
<div className="text-xs leading-5 text-foreground/85 whitespace-pre-wrap break-words">
{truncate(stripMarkdown(block.text), 360)}
</div>
) : (
<MarkdownBody className="text-sm [&>*:first-child]:mt-0 [&>*:last-child]:mb-0">
{block.text}
</MarkdownBody>
)}
</div>
);
}
function TranscriptThinkingBlock({
block,
density,
}: {
block: Extract<TranscriptBlock, { type: "thinking" }>;
density: TranscriptDensity;
}) {
const compact = density === "compact";
return (
<TranscriptDisclosure
icon={BrainCircuit}
label="Thinking"
tone="thinking"
summary={truncate(stripMarkdown(block.text), compact ? 120 : 220)}
timestamp={formatTimestamp(block.ts)}
defaultOpen={block.streaming}
compact={compact}
>
<div className={cn("rounded-xl border border-amber-500/15 bg-background/70 text-foreground/75 whitespace-pre-wrap break-words", compact ? "p-2 text-[11px]" : "p-3 text-sm")}>
{block.text}
</div>
</TranscriptDisclosure>
);
}
function TranscriptToolCard({
block,
density,
}: {
block: Extract<TranscriptBlock, { type: "tool" }>;
density: TranscriptDensity;
}) {
const compact = density === "compact";
const statusLabel =
block.status === "running"
? "Running"
: block.status === "error"
? "Errored"
: "Completed";
const statusTone =
block.status === "running"
? "border-cyan-500/25 bg-cyan-500/10 text-cyan-700 dark:text-cyan-300"
: block.status === "error"
? "border-red-500/25 bg-red-500/10 text-red-700 dark:text-red-300"
: "border-emerald-500/25 bg-emerald-500/10 text-emerald-700 dark:text-emerald-300";
return (
<TranscriptDisclosure
icon={Wrench}
label={block.name}
tone="tool"
summary={block.status === "running"
? summarizeToolInput(block.name, block.input, density)
: summarizeToolResult(block.result, block.isError, density)}
timestamp={formatTimestamp(block.endTs ?? block.ts)}
defaultOpen={block.status === "error"}
compact={compact}
>
<div className="space-y-2">
<div className="flex flex-wrap items-center gap-2">
<span className={cn("inline-flex rounded-full border px-2 py-0.5 text-[10px] font-semibold uppercase tracking-[0.14em]", statusTone)}>
{statusLabel}
</span>
{block.toolUseId && (
<span className="rounded-full border border-border/70 bg-background/70 px-2 py-0.5 font-mono text-[10px] text-muted-foreground">
{truncate(block.toolUseId, compact ? 24 : 40)}
</span>
)}
</div>
<div className={cn("grid gap-2", compact ? "grid-cols-1" : "lg:grid-cols-2")}>
<div className="rounded-xl border border-border/70 bg-background/80 p-2.5">
<div className="mb-2 text-[10px] font-semibold uppercase tracking-[0.18em] text-muted-foreground">
Input
</div>
<pre className="overflow-x-auto whitespace-pre-wrap break-words font-mono text-[11px] text-foreground/80">
{formatToolPayload(block.input) || "<empty>"}
</pre>
</div>
<div className="rounded-xl border border-border/70 bg-background/80 p-2.5">
<div className="mb-2 text-[10px] font-semibold uppercase tracking-[0.18em] text-muted-foreground">
Result
</div>
<pre className={cn(
"overflow-x-auto whitespace-pre-wrap break-words font-mono text-[11px]",
block.status === "error" ? "text-red-700 dark:text-red-300" : "text-foreground/80",
)}>
{block.result ? formatToolPayload(block.result) : "Waiting for result..."}
</pre>
</div>
</div>
</div>
</TranscriptDisclosure>
);
}
function TranscriptEventRow({
block,
density,
}: {
block: Extract<TranscriptBlock, { type: "event" }>;
density: TranscriptDensity;
}) {
const compact = density === "compact";
const toneClasses =
block.tone === "error"
? "border-red-500/20 bg-red-500/[0.06] text-red-700 dark:text-red-300"
: block.tone === "warn"
? "border-amber-500/20 bg-amber-500/[0.06] text-amber-700 dark:text-amber-300"
: block.tone === "info"
? "border-sky-500/20 bg-sky-500/[0.06] text-sky-700 dark:text-sky-300"
: "border-border/70 bg-background/70 text-foreground/75";
return (
<div className={cn("rounded-xl border", toneClasses, compact ? "p-2" : "p-2.5")}>
<div className="flex items-start gap-2">
{block.tone === "error" ? (
<CircleAlert className="mt-0.5 h-3.5 w-3.5 shrink-0" />
) : block.tone === "warn" ? (
<TerminalSquare className="mt-0.5 h-3.5 w-3.5 shrink-0" />
) : (
<Info className="mt-0.5 h-3.5 w-3.5 shrink-0" />
)}
<div className="min-w-0 flex-1">
<div className="flex flex-wrap items-center gap-x-2 gap-y-1">
<span className="text-[10px] font-semibold uppercase tracking-[0.18em] text-muted-foreground">
{block.label}
</span>
<span className="text-[10px] text-muted-foreground">
{compact ? relativeTime(block.ts) : formatTimestamp(block.ts)}
</span>
</div>
<div className={cn("mt-1 whitespace-pre-wrap break-words", compact ? "text-[11px]" : "text-xs")}>
{block.text}
</div>
{block.detail && (
<pre className="mt-2 overflow-x-auto whitespace-pre-wrap break-words rounded-lg border border-border/60 bg-background/70 p-2 font-mono text-[11px] text-foreground/75">
{block.detail}
</pre>
)}
</div>
</div>
</div>
);
}
function RawTranscriptView({
entries,
density,
}: {
entries: TranscriptEntry[];
density: TranscriptDensity;
}) {
const compact = density === "compact";
return (
<div className={cn(
"rounded-2xl border border-border/70 bg-neutral-100/70 p-3 font-mono shadow-inner dark:bg-neutral-950/60",
compact ? "space-y-1 text-[11px]" : "space-y-1.5 text-xs",
)}>
{entries.map((entry, idx) => (
<div
key={`${entry.kind}-${entry.ts}-${idx}`}
className={cn(
"grid gap-x-3",
compact ? "grid-cols-[auto_1fr]" : "grid-cols-[auto_auto_1fr]",
)}
>
<span className="text-[10px] text-muted-foreground">{formatTimestamp(entry.ts)}</span>
<span className={cn(
"text-[10px] uppercase tracking-[0.18em] text-muted-foreground",
compact && "hidden",
)}>
{entry.kind}
</span>
<pre className="min-w-0 whitespace-pre-wrap break-words text-foreground/80">
{entry.kind === "tool_call"
? `${entry.name}\n${formatToolPayload(entry.input)}`
: entry.kind === "tool_result"
? formatToolPayload(entry.content)
: entry.kind === "result"
? `${entry.text}\n${formatTokens(entry.inputTokens)} / ${formatTokens(entry.outputTokens)} / $${entry.costUsd.toFixed(6)}`
: entry.kind === "init"
? `model=${entry.model}${entry.sessionId ? ` session=${entry.sessionId}` : ""}`
: entry.text}
</pre>
</div>
))}
</div>
);
}
export function RunTranscriptView({
entries,
mode = "nice",
density = "comfortable",
limit,
streaming = false,
emptyMessage = "No transcript yet.",
className,
}: RunTranscriptViewProps) {
const blocks = useMemo(() => normalizeTranscript(entries, streaming), [entries, streaming]);
const visibleBlocks = limit ? blocks.slice(-limit) : blocks;
const visibleEntries = limit ? entries.slice(-limit) : entries;
if (entries.length === 0) {
return (
<div className={cn("rounded-2xl border border-dashed border-border/70 bg-background/40 p-4 text-sm text-muted-foreground", className)}>
{emptyMessage}
</div>
);
}
if (mode === "raw") {
return (
<div className={className}>
<RawTranscriptView entries={visibleEntries} density={density} />
</div>
);
}
return (
<div className={cn("space-y-3", className)}>
{visibleBlocks.map((block, index) => (
<div
key={`${block.type}-${block.ts}-${index}`}
className={cn(index === visibleBlocks.length - 1 && streaming && "animate-in fade-in slide-in-from-bottom-1 duration-300")}
>
{block.type === "message" && <TranscriptMessageBlock block={block} density={density} />}
{block.type === "thinking" && <TranscriptThinkingBlock block={block} density={density} />}
{block.type === "tool" && <TranscriptToolCard block={block} density={density} />}
{block.type === "event" && <TranscriptEventRow block={block} density={density} />}
</div>
))}
</div>
);
}

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import { useEffect, useMemo, useRef, useState } from "react";
import type { LiveEvent } from "@paperclipai/shared";
import { heartbeatsApi, type LiveRunForIssue } from "../../api/heartbeats";
import { buildTranscript, getUIAdapter, type RunLogChunk, type TranscriptEntry } from "../../adapters";
const LOG_POLL_INTERVAL_MS = 2000;
const LOG_READ_LIMIT_BYTES = 256_000;
interface UseLiveRunTranscriptsOptions {
runs: LiveRunForIssue[];
companyId?: string | null;
maxChunksPerRun?: number;
}
function readString(value: unknown): string | null {
return typeof value === "string" && value.trim().length > 0 ? value : null;
}
function isTerminalStatus(status: string): boolean {
return status === "failed" || status === "timed_out" || status === "cancelled" || status === "succeeded";
}
function parsePersistedLogContent(
runId: string,
content: string,
pendingByRun: Map<string, string>,
): Array<RunLogChunk & { dedupeKey: string }> {
if (!content) return [];
const pendingKey = `${runId}:records`;
const combined = `${pendingByRun.get(pendingKey) ?? ""}${content}`;
const split = combined.split("\n");
pendingByRun.set(pendingKey, split.pop() ?? "");
const parsed: Array<RunLogChunk & { dedupeKey: string }> = [];
for (const line of split) {
const trimmed = line.trim();
if (!trimmed) continue;
try {
const raw = JSON.parse(trimmed) as { ts?: unknown; stream?: unknown; chunk?: unknown };
const stream = raw.stream === "stderr" || raw.stream === "system" ? raw.stream : "stdout";
const chunk = typeof raw.chunk === "string" ? raw.chunk : "";
const ts = typeof raw.ts === "string" ? raw.ts : new Date().toISOString();
if (!chunk) continue;
parsed.push({
ts,
stream,
chunk,
dedupeKey: `persisted:${runId}:${ts}:${stream}:${chunk}`,
});
} catch {
// Ignore malformed log rows.
}
}
return parsed;
}
export function useLiveRunTranscripts({
runs,
companyId,
maxChunksPerRun = 200,
}: UseLiveRunTranscriptsOptions) {
const [chunksByRun, setChunksByRun] = useState<Map<string, RunLogChunk[]>>(new Map());
const seenChunkKeysRef = useRef(new Set<string>());
const pendingLogRowsByRunRef = useRef(new Map<string, string>());
const logOffsetByRunRef = useRef(new Map<string, number>());
const runById = useMemo(() => new Map(runs.map((run) => [run.id, run])), [runs]);
const activeRunIds = useMemo(
() => new Set(runs.filter((run) => !isTerminalStatus(run.status)).map((run) => run.id)),
[runs],
);
const runIdsKey = useMemo(
() => runs.map((run) => run.id).sort((a, b) => a.localeCompare(b)).join(","),
[runs],
);
const appendChunks = (runId: string, chunks: Array<RunLogChunk & { dedupeKey: string }>) => {
if (chunks.length === 0) return;
setChunksByRun((prev) => {
const next = new Map(prev);
const existing = [...(next.get(runId) ?? [])];
let changed = false;
for (const chunk of chunks) {
if (seenChunkKeysRef.current.has(chunk.dedupeKey)) continue;
seenChunkKeysRef.current.add(chunk.dedupeKey);
existing.push({ ts: chunk.ts, stream: chunk.stream, chunk: chunk.chunk });
changed = true;
}
if (!changed) return prev;
if (seenChunkKeysRef.current.size > 12000) {
seenChunkKeysRef.current.clear();
}
next.set(runId, existing.slice(-maxChunksPerRun));
return next;
});
};
useEffect(() => {
const knownRunIds = new Set(runs.map((run) => run.id));
setChunksByRun((prev) => {
const next = new Map<string, RunLogChunk[]>();
for (const [runId, chunks] of prev) {
if (knownRunIds.has(runId)) {
next.set(runId, chunks);
}
}
return next.size === prev.size ? prev : next;
});
for (const key of pendingLogRowsByRunRef.current.keys()) {
const runId = key.replace(/:records$/, "");
if (!knownRunIds.has(runId)) {
pendingLogRowsByRunRef.current.delete(key);
}
}
for (const runId of logOffsetByRunRef.current.keys()) {
if (!knownRunIds.has(runId)) {
logOffsetByRunRef.current.delete(runId);
}
}
}, [runs]);
useEffect(() => {
if (runs.length === 0) return;
let cancelled = false;
const readRunLog = async (run: LiveRunForIssue) => {
const offset = logOffsetByRunRef.current.get(run.id) ?? 0;
try {
const result = await heartbeatsApi.log(run.id, offset, LOG_READ_LIMIT_BYTES);
if (cancelled) return;
appendChunks(run.id, parsePersistedLogContent(run.id, result.content, pendingLogRowsByRunRef.current));
if (result.nextOffset !== undefined) {
logOffsetByRunRef.current.set(run.id, result.nextOffset);
return;
}
if (result.content.length > 0) {
logOffsetByRunRef.current.set(run.id, offset + result.content.length);
}
} catch {
// Ignore log read errors while output is initializing.
}
};
const readAll = async () => {
await Promise.all(runs.map((run) => readRunLog(run)));
};
void readAll();
const interval = window.setInterval(() => {
void readAll();
}, LOG_POLL_INTERVAL_MS);
return () => {
cancelled = true;
window.clearInterval(interval);
};
}, [runIdsKey, runs]);
useEffect(() => {
if (!companyId || activeRunIds.size === 0) return;
let closed = false;
let reconnectTimer: number | null = null;
let socket: WebSocket | null = null;
const scheduleReconnect = () => {
if (closed) return;
reconnectTimer = window.setTimeout(connect, 1500);
};
const connect = () => {
if (closed) return;
const protocol = window.location.protocol === "https:" ? "wss" : "ws";
const url = `${protocol}://${window.location.host}/api/companies/${encodeURIComponent(companyId)}/events/ws`;
socket = new WebSocket(url);
socket.onmessage = (message) => {
const raw = typeof message.data === "string" ? message.data : "";
if (!raw) return;
let event: LiveEvent;
try {
event = JSON.parse(raw) as LiveEvent;
} catch {
return;
}
if (event.companyId !== companyId) return;
const payload = event.payload ?? {};
const runId = readString(payload["runId"]);
if (!runId || !activeRunIds.has(runId)) return;
if (!runById.has(runId)) return;
if (event.type === "heartbeat.run.log") {
const chunk = readString(payload["chunk"]);
if (!chunk) return;
const stream =
readString(payload["stream"]) === "stderr"
? "stderr"
: readString(payload["stream"]) === "system"
? "system"
: "stdout";
appendChunks(runId, [{
ts: event.createdAt,
stream,
chunk,
dedupeKey: `socket:log:${runId}:${event.createdAt}:${stream}:${chunk}`,
}]);
return;
}
if (event.type === "heartbeat.run.event") {
const seq = typeof payload["seq"] === "number" ? payload["seq"] : null;
const eventType = readString(payload["eventType"]) ?? "event";
const messageText = readString(payload["message"]) ?? eventType;
appendChunks(runId, [{
ts: event.createdAt,
stream: eventType === "error" ? "stderr" : "system",
chunk: messageText,
dedupeKey: `socket:event:${runId}:${seq ?? `${eventType}:${messageText}:${event.createdAt}`}`,
}]);
return;
}
if (event.type === "heartbeat.run.status") {
const status = readString(payload["status"]) ?? "updated";
appendChunks(runId, [{
ts: event.createdAt,
stream: isTerminalStatus(status) && status !== "succeeded" ? "stderr" : "system",
chunk: `run ${status}`,
dedupeKey: `socket:status:${runId}:${status}:${readString(payload["finishedAt"]) ?? ""}`,
}]);
}
};
socket.onerror = () => {
socket?.close();
};
socket.onclose = () => {
scheduleReconnect();
};
};
connect();
return () => {
closed = true;
if (reconnectTimer !== null) window.clearTimeout(reconnectTimer);
if (socket) {
socket.onmessage = null;
socket.onerror = null;
socket.onclose = null;
socket.close(1000, "live_run_transcripts_unmount");
}
};
}, [activeRunIds, companyId, runById]);
const transcriptByRun = useMemo(() => {
const next = new Map<string, TranscriptEntry[]>();
for (const run of runs) {
const adapter = getUIAdapter(run.adapterType);
next.set(run.id, buildTranscript(chunksByRun.get(run.id) ?? [], adapter.parseStdoutLine));
}
return next;
}, [chunksByRun, runs]);
return {
transcriptByRun,
hasOutputForRun(runId: string) {
return (chunksByRun.get(runId)?.length ?? 0) > 0;
},
};
}