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import { api } from '../api';
import { vscodeNative } from '../vscodeNative';
export function useResearch({ notify, logAgentAction }) {
const [researchMission, setResearchMission] = useState('');
const [researchRoadmap, setResearchRoadmap] = useState([]);
const [currentStepIndex, setCurrentStepIndex] = useState(0);
const [deepResearchStatus, setDeepResearchStatus] = useState(null);
const [deepResearchElapsed, setDeepResearchElapsed] = useState(0);
const [backgroundTasks, setBackgroundTasks] = useState([]);
const hasActiveBackgroundTasks = backgroundTasks.some(t => t.status === 'running');
const [hasGeminiKey, setHasGeminiKey] = useState(false);
const [knowledge, setKnowledge] = useState([]);
const [journalEntries, setJournalEntries] = useState([]);
const [journalInput, setJournalInput] = useState('');
const [newConcept, setNewConcept] = useState({ title: '', detail: '' });
const [isGeneratingPaper, setIsGeneratingPaper] = useState(false);
const deepResearchPollRef = useRef(null);
const deepResearchTimerRef = useRef(null);
useEffect(() => {
vscodeNative.getSecret('geminiApiKey').then(val => setHasGeminiKey(!!val));
const handler = (event) => {
const msg = event.data;
Iif (msg.type === 'configChanged' && msg.values?.hasGeminiKey !== undefined) {
setHasGeminiKey(msg.values.hasGeminiKey);
}
};
window.addEventListener('message', handler);
return () => window.removeEventListener('message', handler);
}, []);
const teachAgent = async () => {
if (!newConcept.title || !newConcept.detail) return;
const item = await api.addKnowledge({ ...newConcept, timestamp: Date.now(), source: 'researcher-input' });
setKnowledge(prev => [...prev, item]);
setNewConcept({ title: '', detail: '' });
logAgentAction("Discovery", "Internalized.");
};
const startDeepResearch = async (prompt, { models, selectedModelObj, selectedModelId, runAgentTask }) => {
const modelConfig = selectedModelObj;
if (!modelConfig) return;
setDeepResearchElapsed(0);
logAgentAction("Deep Research", `Initiating ${modelConfig.name}...`);
const progress = vscodeNative.startProgress('Deep Research in progress...', true);
vscodeNative.updateStatusBar({ research: 'Deep Research' });
try {
const result = await api.startDeepResearch(prompt, modelConfig.id);
if (result.error) {
logAgentAction("Error", result.error);
return;
}
const interactionId = result.id || result.name;
setDeepResearchStatus({ id: interactionId, status: 'in_progress', model: selectedModelId });
logAgentAction("Research Started", `ID: ${interactionId}`);
deepResearchTimerRef.current = setInterval(() => {
setDeepResearchElapsed(prev => prev + 1);
}, 1000);
deepResearchPollRef.current = setInterval(async () => {
try {
const status = await api.pollDeepResearch(interactionId);
if (status.error) {
logAgentAction("Poll Error", status.error);
return;
}
const currentStatus = status.status || status.metadata?.status || 'in_progress';
setDeepResearchStatus(prev => ({ ...prev, status: currentStatus, data: status }));
if (status.metadata?.thinking_summary) {
logAgentAction("Thinking", status.metadata.thinking_summary.substring(0, 120) + '...');
}
if (currentStatus === 'completed' || currentStatus === 'COMPLETED') {
clearInterval(deepResearchPollRef.current);
clearInterval(deepResearchTimerRef.current);
deepResearchPollRef.current = null;
deepResearchTimerRef.current = null;
progress.done();
vscodeNative.updateStatusBar({ research: false });
const outputs = status.outputs || status.result?.outputs || [];
const reportText = outputs
.filter(o => o.type === 'text' || o.content)
.map(o => o.content || o.text || '')
.join('\n\n');
if (!reportText) {
logAgentAction("Warning", "Deep research completed but no text output found.");
setDeepResearchStatus(prev => ({ ...prev, status: 'completed', report: JSON.stringify(status, null, 2) }));
return;
}
setDeepResearchStatus(prev => ({ ...prev, status: 'completed', report: reportText }));
logAgentAction("Research Complete", "Generating simulation from findings...");
const researchContext = `[DEEP RESEARCH REPORT]\nThe following is a comprehensive research report generated by Google Deep Research (${modelConfig.label}). Use this as the authoritative source for building the simulation.\n\n${reportText}`;
runAgentTask(`${researchContext}\n\nOriginal query: ${prompt}\n\nBuild an interactive simulation based on this research.`, 'CREATE', '', false, 0);
} else if (currentStatus === 'failed' || currentStatus === 'FAILED') {
clearInterval(deepResearchPollRef.current);
clearInterval(deepResearchTimerRef.current);
deepResearchPollRef.current = null;
deepResearchTimerRef.current = null;
progress.done();
vscodeNative.updateStatusBar({ research: false });
logAgentAction("Research Failed", status.error?.message || "Unknown error");
setDeepResearchStatus(prev => ({ ...prev, status: 'failed' }));
} else {
logAgentAction("Researching", `Status: ${currentStatus}`);
}
} catch (err) {
logAgentAction("Poll Error", err.message);
}
}, 15000);
} catch (err) {
logAgentAction("Error", err.message);
}
};
const cancelDeepResearch = () => {
if (deepResearchPollRef.current) clearInterval(deepResearchPollRef.current);
if (deepResearchTimerRef.current) clearInterval(deepResearchTimerRef.current);
deepResearchPollRef.current = null;
deepResearchTimerRef.current = null;
setDeepResearchStatus(null);
setDeepResearchElapsed(0);
logAgentAction("Cancelled", "Deep research cancelled.");
};
const generatePaper = async ({ messages, selectedArtifact, captureSimScreenshot }) => {
setIsGeneratingPaper(true);
const progress = vscodeNative.startProgress('Generating academic paper...');
try {
const screenshots = [];
if (selectedArtifact) {
const dataUrl = await captureSimScreenshot();
if (dataUrl) screenshots.push({ name: 'current-simulation', dataUrl });
}
const result = await api.generatePaper({
mission: researchMission,
roadmap: researchRoadmap,
journal: journalEntries,
knowledge,
screenshots,
messages: messages.filter(m => !m.archived).map(m => ({
role: m.role,
prompt: m.prompt || '',
content: m.role === 'user' ? m.content : (m.prompt || ''),
})),
});
if (result.warning) {
notify(`Paper saved as LaTeX: ${result.tex}`, 'error');
} else {
notify(`Paper saved to ${result.dir}`, 'success');
}
} catch (err) {
notify('Paper generation failed: ' + err.message);
} finally {
setIsGeneratingPaper(false);
progress.done();
}
};
useEffect(() => {
return () => {
Iif (deepResearchPollRef.current) clearInterval(deepResearchPollRef.current);
Iif (deepResearchTimerRef.current) clearInterval(deepResearchTimerRef.current);
};
}, []);
return {
researchMission, setResearchMission,
researchRoadmap, setResearchRoadmap,
currentStepIndex, setCurrentStepIndex,
deepResearchStatus, setDeepResearchStatus,
deepResearchElapsed, setDeepResearchElapsed,
backgroundTasks, setBackgroundTasks,
hasActiveBackgroundTasks,
hasGeminiKey, setHasGeminiKey,
knowledge, setKnowledge,
journalEntries, setJournalEntries,
journalInput, setJournalInput,
newConcept, setNewConcept,
isGeneratingPaper, setIsGeneratingPaper,
deepResearchPollRef,
deepResearchTimerRef,
teachAgent,
startDeepResearch,
cancelDeepResearch,
generatePaper,
};
}
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