);
}
// ── Main Synthesis Tab ───────────────────────────────────────────────
function SynthesisTab({ data }) {
const [input, setInput] = useState('');
const [loading, setLoading] = useState(false);
const [result, setResult] = useState(null);
const [error, setError] = useState(null);
const [matchInfo, setMatchInfo] = useState(null);
const [showRaw, setShowRaw] = useState(false);
const inputRef = useRef(null);
const suggestions = useMemo(() => getSuggestions(data), [data]);
async function runSynthesis(queryStr) {
const q = queryStr || input;
if (!q.trim()) return;
setLoading(true);
setError(null);
setResult(null);
setShowRaw(false);
const match = matchQuery(q, data);
setMatchInfo(match);
if (!match) {
setError('No matching data found for "' + q + '." Try a state name, shape, year (1905–2023), event, or vocabulary term.');
setLoading(false);
return;
}
try {
const resp = await fetch(WORKER_URL, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ query: q.trim(), context: match.context }),
});
if (!resp.ok) {
const body = await resp.json().catch(() => ({}));
throw new Error(body.error || 'Synthesis service returned ' + resp.status);
}
const synthesis = await resp.json();
setResult(synthesis);
} catch (err) {
setError(err.message || 'Failed to reach synthesis service');
} finally {
setLoading(false);
}
}
function handleKeyDown(e) {
if (e.key === 'Enter') {
e.preventDefault();
runSynthesis();
}
}
function handleSuggestion(label) {
setInput(label);
runSynthesis(label);
}
return (
Type a state, shape, year, event, or vocabulary term. The synthesis engine translates
pre-computed model outputs into plain-language findings at any resolution.
{/* Raw data toggle */}
{showRaw && matchInfo && (
)}
)}
{/* Methodology note */}
The synthesis engine is not a chatbot. It receives pre-computed data from the corpus analysis
pipeline and translates it into plain-language findings using Claude (Anthropic).
Every numerical claim in a synthesis is grounded in the data visible in the "raw data" panel below
each finding. The model cannot invent statistics or make claims beyond what the data supports.
Findings are labeled with confidence levels inherited from the series-wide system:
directly in the data
minimal inference
requires assumptions
Responses are cached for 24 hours. The same query always returns the same synthesis.