Scaffold Phase 0: agent -> Redpanda -> ingest -> ClickHouse -> api -> web
End-to-end log pipeline for Linux hosts, per /docs/architecture.md: - proto: shared gRPC contract (agent <-> ingest), Go bindings checked in - agent: Rust, musl-targeted, journald/file sourcing, RFC5424 parser, mTLS gRPC client, no required config for the common case - ingest: Go, single binary with --mode server|consumer|all; gRPC front end forwards to Redpanda unchanged, consumer normalizes and batch-writes to ClickHouse with at-least-once delivery - storage: ClickHouse schema + a plain SQL-file migration runner - api: minimal SELECT-only query endpoint, plain REST (not gRPC+gateway yet -- see api/README.md) - web: SvelteKit static SPA, one query page - transport: Redpanda compose + topic provisioning - cli: sentryctl ping stub - hack/dev-certs: throwaway CA + cert generation for local mTLS - root docker-compose.yml + docs/phase-0-runbook.md tie it together Not yet run end-to-end against real Docker/ClickHouse/Redpanda -- see the runbook's caveats section before relying on this working as-is.
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@@ -0,0 +1,128 @@
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<script lang="ts">
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// Phase 0: functional only, no styling polish, no auth. One page: a raw
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// SQL box against POST /query on the api service, rendered as a table.
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// This is a placeholder for the real query UI that lands once /api grows
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// a real SPL-like query layer in Phase 2.
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const apiBase = import.meta.env.VITE_API_BASE_URL ?? 'http://localhost:8080';
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let sql = $state('SELECT * FROM logs ORDER BY timestamp DESC LIMIT 100');
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let columns = $state<string[]>([]);
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let rows = $state<unknown[][]>([]);
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let error = $state('');
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let loading = $state(false);
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let hasRun = $state(false);
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function formatCell(value: unknown): string {
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if (value === null || value === undefined) return '';
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if (typeof value === 'object') return JSON.stringify(value);
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return String(value);
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}
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async function runQuery() {
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loading = true;
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error = '';
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try {
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const res = await fetch(`${apiBase}/query`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ sql })
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});
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const body = await res.json();
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if (!res.ok) {
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error = body?.error ?? `request failed with status ${res.status}`;
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columns = [];
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rows = [];
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return;
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}
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columns = body.columns ?? [];
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rows = body.rows ?? [];
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} catch (e) {
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error = e instanceof Error ? e.message : String(e);
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columns = [];
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rows = [];
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} finally {
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loading = false;
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hasRun = true;
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}
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}
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</script>
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<main>
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<h1>Sentry — Log Query (Phase 0)</h1>
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<p>
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Raw SQL only, SELECT statements against the <code>logs</code> table. No auth, no query
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builder yet — see <code>/api</code> for what's actually allowed.
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</p>
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<textarea bind:value={sql} rows="4" cols="100" spellcheck="false"></textarea>
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<div>
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<button onclick={runQuery} disabled={loading}>
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{loading ? 'Running…' : 'Run query'}
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</button>
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</div>
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{#if error}
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<p class="error">Error: {error}</p>
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{/if}
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{#if hasRun && !error}
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<p>{rows.length} row(s)</p>
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{/if}
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{#if columns.length > 0}
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<table>
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<thead>
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<tr>
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{#each columns as col (col)}
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<th>{col}</th>
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{/each}
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</tr>
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</thead>
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<tbody>
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{#each rows as row, i (i)}
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<tr>
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{#each row as cell, j (j)}
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<td>{formatCell(cell)}</td>
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{/each}
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</tr>
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{/each}
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</tbody>
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</table>
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{/if}
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</main>
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<style>
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main {
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font-family: system-ui, sans-serif;
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max-width: 960px;
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margin: 2rem auto;
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padding: 0 1rem;
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}
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textarea {
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width: 100%;
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font-family: monospace;
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font-size: 0.9rem;
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}
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button {
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margin-top: 0.5rem;
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}
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.error {
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color: #b00020;
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}
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table {
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border-collapse: collapse;
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width: 100%;
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margin-top: 1rem;
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}
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th,
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td {
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border: 1px solid #ccc;
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padding: 0.25rem 0.5rem;
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text-align: left;
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font-size: 0.85rem;
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}
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th {
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background: #f0f0f0;
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}
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</style>
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