// AI document scanner - extracts wizard field answers from uploaded documents function buildFieldCatalog(scope) { // Build a flat catalog of all fields/sliders/checks the AI can fill // If scope = { step, section } is provided, only catalog matching items. const D = window.FW_DATA; const catalog = []; const scopedStepId = scope && scope.step ? scope.step.id : null; const scopedSection = scope && scope.section ? scope.section : null; D.phases.forEach(phase => { phase.steps.forEach(step => { if (step.kind === 'gate') return; if (scopedStepId && step.id !== scopedStepId) return; if (!scopedSection || scopedSection === 'fields') { (step.fields || []).forEach(f => { catalog.push({ id: f.id, kind: 'text', phase: phase.name, step: step.title, label: f.label, help: f.help || '' }); }); } if (!scopedSection || scopedSection === 'sliders') { (step.sliders || []).forEach(s => { catalog.push({ id: s.id, kind: 'slider', phase: phase.name, step: step.title, label: s.label, help: 'Score 0-10' }); }); } if (!scopedSection || scopedSection === 'checklist') { (step.checklist || []).forEach(c => { catalog.push({ id: c.id, kind: 'check', phase: phase.name, step: step.title, label: c.text, help: 'Yes/No' }); // Also expose the note text field that pairs with each checklist item catalog.push({ id: c.id + '_note', kind: 'text', phase: phase.name, step: step.title, label: 'Notes for: ' + c.text, help: 'Short note describing how this is handled, evidence, or who is responsible.' }); }); } }); }); return catalog; } async function readFileAsText(file) { if (file.type === 'application/pdf') { return `[PDF file: ${file.name}] — Note: PDF parsing not available in browser. Please paste text content or use .txt/.md/.docx files.`; } return new Promise((resolve, reject) => { const reader = new FileReader(); reader.onload = () => resolve(reader.result); reader.onerror = reject; reader.readAsText(file); }); } async function scanDocument(documentText, projectName, scope) { const catalog = buildFieldCatalog(scope); // Group catalog by step for prompt clarity const fieldsByStep = {}; catalog.forEach(f => { const key = `${f.phase} — ${f.step}`; if (!fieldsByStep[key]) fieldsByStep[key] = []; fieldsByStep[key].push(f); }); const fieldList = Object.entries(fieldsByStep).map(([step, fields]) => { return `### ${step}\n` + fields.map(f => `- ${f.id} (${f.kind}): "${f.label}"${f.help ? ' — ' + f.help : ''}` ).join('\n'); }).join('\n\n'); const scopeHint = scope && scope.step ? `\n\nIMPORTANT: Focus only on the "${scope.step.title}" step${scope.section ? ' (' + scope.section + ' section)' : ''}. Only return fields listed below.` : ''; const prompt = `You are helping pre-fill a Regenerative Neighborhood Framework wizard from an existing project document. Below is the user's document, followed by the catalog of wizard fields. Extract any information from the document that maps to these fields. Return a JSON object with field IDs as keys. Rules: - For text fields: return a string with extracted/synthesized content (1-3 sentences). If nothing relevant, omit the key. - For slider fields: return an integer 0-10 reflecting confidence/maturity in that area based on document evidence. If unclear, omit. - For check fields (id without "_note" suffix): return true only if the document clearly indicates this is in place. Otherwise omit. - For checklist note fields (id ending in "_note"): if the corresponding checklist item is true OR the doc has relevant info, write a 1-2 sentence note describing how it's handled, evidence, or who's responsible. Be concrete. - Only include fields where you have actual evidence from the document. Omit anything you'd be guessing. - Also include a "project_name" key with a short name if you can infer one (only if not scoped). - Also include a "_summary" key with a 2-sentence summary of what the document is about. - Also include "_extracted_count" with the number of fields you populated.${scopeHint} DOCUMENT: """ ${documentText.slice(0, 12000)} """ WIZARD FIELDS: ${fieldList} Return ONLY valid JSON, no markdown fences, no commentary.`; const resp = await fetch('/api/claude', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ prompt }) }); if (!resp.ok) { const err = await resp.json().catch(() => ({})); throw new Error(err.error || `Request failed (${resp.status})`); } const { result } = await resp.json(); // Parse JSON let parsed; try { // strip code fences if any let cleaned = result.trim(); if (cleaned.startsWith('```')) { cleaned = cleaned.replace(/^```(json)?\s*/, '').replace(/```\s*$/, ''); } // find first { and last } const start = cleaned.indexOf('{'); const end = cleaned.lastIndexOf('}'); if (start >= 0 && end > start) cleaned = cleaned.slice(start, end + 1); parsed = JSON.parse(cleaned); } catch (e) { throw new Error('AI returned non-JSON: ' + result.slice(0, 200)); } return parsed; } // ---------- UI ---------- function ImportModal({ onClose, onApply, currentValues, scope }) { const [stage, setStage] = React.useState('upload'); // upload | scanning | review | error const [docText, setDocText] = React.useState(''); const [fileName, setFileName] = React.useState(''); const [extracted, setExtracted] = React.useState(null); const [errorMsg, setErrorMsg] = React.useState(''); const [acceptedKeys, setAcceptedKeys] = React.useState({}); const handleFile = async (file) => { if (!file) return; setFileName(file.name); try { const text = await readFileAsText(file); setDocText(text); } catch (e) { setErrorMsg('Could not read file: ' + e.message); setStage('error'); } }; const handleScan = async () => { if (!docText.trim()) { setErrorMsg('Paste some text or upload a file first.'); return; } setStage('scanning'); setErrorMsg(''); try { const result = await scanDocument(docText, null, scope); setExtracted(result); // pre-accept all by default const accepted = {}; Object.keys(result).forEach(k => { if (!k.startsWith('_')) accepted[k] = true; }); setAcceptedKeys(accepted); setStage('review'); } catch (e) { setErrorMsg(e.message || 'Scan failed.'); setStage('error'); } }; const handleApply = () => { const toApply = {}; Object.entries(extracted).forEach(([k, v]) => { if (k.startsWith('_')) return; if (acceptedKeys[k]) toApply[k] = v; }); onApply(toApply); onClose(); }; const catalog = buildFieldCatalog(scope); const fieldMeta = (id) => catalog.find(f => f.id === id) || { label: id, kind: 'text', step: '' }; return (
e.stopPropagation()}>
AI-Assisted Import {scope && scope.step ? '· Scoped' : ''}
{scope && scope.step ? `Fill the "${scope.step.title}" ${scope.section || 'step'}` : 'Scan an existing document'}
{scope && scope.step ? 'Upload a document and we\'ll pre-fill just this section.' : 'Have a vision deck, charter, or feasibility study? Drop it in and we\'ll pre-fill what we can.'}
{stage === 'upload' && (
Or paste document text