Restore context fetching with parallel requests
- Fetch activity + dashboard context in parallel - Context embedded in question for better AI responses 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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@ -168,22 +168,40 @@ export default function ChatScreen() {
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}
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};
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// Send message with full context - optimized for speed
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// Send message with full context - fetches context in parallel for speed
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const sendWithContext = async (question: string): Promise<string> => {
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const token = await SecureStore.getItemAsync('accessToken');
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const userName = await SecureStore.getItemAsync('userName');
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if (!token || !userName) throw new Error('Please log in');
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if (!currentBeneficiary?.id) throw new Error('Please select a beneficiary');
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const beneficiaryName = currentBeneficiary?.name || 'the patient';
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const deploymentId = currentBeneficiary?.id?.toString() || '';
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const beneficiaryName = currentBeneficiary.name || 'the patient';
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const deploymentId = currentBeneficiary.id.toString();
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// Skip context fetching for faster response - just send directly
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const enhancedQuestion = currentBeneficiary?.id
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? `You are a caring assistant helping monitor ${beneficiaryName}'s wellbeing. Please answer: ${question}`
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: `You are a helpful AI assistant. Please answer: ${question}`;
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// Fetch both contexts in PARALLEL for speed
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const [activityContext, dashboardContext] = await Promise.all([
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getActivityContext(token, userName, deploymentId),
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getDashboardContext(token, userName, deploymentId),
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]);
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// Call API directly without pre-fetching context
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// Use activity context, fallback to dashboard
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const context = activityContext || dashboardContext;
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// Build the question with embedded context
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let enhancedQuestion: string;
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if (context) {
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enhancedQuestion = `You are a caring assistant helping monitor ${beneficiaryName}'s wellbeing.
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Here is the current data about ${beneficiaryName}:
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${context}
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Based on this data, please answer the following question: ${question}`;
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} else {
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enhancedQuestion = `You are a caring assistant helping monitor ${beneficiaryName}'s wellbeing. Please answer: ${question}`;
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}
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// Call API
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const requestBody = new URLSearchParams({
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function: 'voice_ask',
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clientId: '001',
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@ -191,7 +209,7 @@ export default function ChatScreen() {
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token: token,
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question: enhancedQuestion,
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deployment_id: deploymentId,
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context: '',
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context: context || '',
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}).toString();
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const response = await fetch(API_URL, {
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