\n Goal Amount History\n

\n {goalsToShow.slice(-10).map((goal) => {\n const maxAmount = Math.max(...goalsWithAmounts.map(g => g.amount).filter(Boolean));\n const barHeight = goal.amount ? Math.max(8, (goal.amount / maxAmount) * 50) : 20;\n \n let barColor = '#6b7280'; // Gray for today placeholder\n if (goal.amount) {\n if (goal.isToday && !goal.resolved) {\n barColor = '#6b7280'; // Gray for today\n } else if (goal.resolution === 'YES') {\n barColor = '#059669'; // Green for completed\n } else if (goal.resolution === 'NO') {\n barColor = '#dc2626'; // Red for missed\n } else if (!goal.resolved) {\n barColor = '#f59e0b'; // Yellow for pending (not red!)\n }\n }\n \n return (\n

\n {goal.amount || (goal.isToday ? '?' : '')}\n

\n {goal.date}\n

\n );\n })}\n

\n );\n}",[],[160,177],{"_105":185,"_96":186,"_161":187,"_163":162,"_164":144,"_165":124,"_166":120,"_107":188,"_102":32,"_168":180,"_170":189,"_171":22,"_172":-5,"_173":190,"_100":191},"65b3ac18-76c8-11f0-8408-0224a6c84d84","ProbabilityInputForm.tsx","019899c3-0691-7162-93d3-7086cdf9f415",["D",1754926352020],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from \"https://esm.sh/react@18.2.0\";\nimport { TodaysGoalView } from \"./TodaysGoalView.tsx\";\nimport { GoalBarChart } from \"./GoalBarChart.tsx\";\n\ninterface ProbabilityInputFormProps {\n settings: any;\n options: number[];\n currentStep: number;\n inputValue: string;\n setInputValue: (value: string) => void;\n probabilities: Record;\n pastGoals: any[];\n loadingGoals: boolean;\n onProbabilityInput: (value: string) => void;\n onShowSettings: () => void;\n}\n\nexport function ProbabilityInputForm({\n settings,\n options,\n currentStep,\n inputValue,\n setInputValue,\n probabilities,\n pastGoals,\n loadingGoals,\n onProbabilityInput,\n onShowSettings\n}: ProbabilityInputFormProps) {\n const currentValue = options[currentStep];\n const unit = settings.usePomodoros ? 'pomodoros' : 'hours';\n\n // Start at 50% if no value set\n React.useEffect(() => {\n if (!inputValue && currentStep === 0) {\n setInputValue('50');\n }\n }, [currentStep, inputValue, setInputValue]);\n\n const handleSubmit = (e: React.FormEvent) => {\n e.preventDefault();\n if (inputValue.trim()) {\n onProbabilityInput(inputValue);\n }\n };\n\n const handleKeyPress = (e: React.KeyboardEvent) => {\n if (e.key === 'Enter') {\n handleSubmit(e);\n } else if (e.key === 'ArrowUp') {\n e.preventDefault();\n const current = parseFloat(inputValue) || 0;\n const newValue = Math.min(100, current + 10);\n setInputValue(newValue.toString());\n } else if (e.key === 'ArrowDown') {\n e.preventDefault();\n const current = parseFloat(inputValue) || 0;\n const newValue = Math.max(0, current - 10);\n setInputValue(newValue.toString());\n } else if (e.key === 'ArrowLeft') {\n e.preventDefault();\n const current = parseFloat(inputValue) || 0;\n const newValue = Math.max(0, current - 1);\n setInputValue(newValue.toString());\n } else if (e.key === 'ArrowRight') {\n e.preventDefault();\n const current = parseFloat(inputValue) || 0;\n const newValue = Math.min(100, current + 1);\n setInputValue(newValue.toString());\n }\n };\n\n // Functions to handle button adjustments\n const adjustValue = (delta: number) => {\n const current = parseFloat(inputValue) || 0;\n const newValue = Math.max(0, Math.min(100, current + delta));\n setInputValue(newValue.toString());\n };\n\n // Check if we have a goal for today that should show a different interface\n const todaysActiveGoal = pastGoals.find(goal => \n new Date(goal.createdAt).toDateString() === new Date().toDateString()\n );\n\n // If we have a goal for today, show the goal management interface instead\n if (todaysActiveGoal && settings.fatebookApiKey) {\n return (\n \n );\n }\n\n return (\n

\n {/* Header */}\n

\n Expected Value Goal Setting\n

\n \n \n Settings\n \n

\n\n {/* Progress indicator */}\n

\n \n Question {currentStep + 1} of {options.length}\n \n \n {Math.round(((currentStep) / options.length) * 100)}% complete\n \n

\n\n {/* Main question */}\n

\n If your goal is{' '}\n \n {currentValue} {unit}\n \n ,
\n what is the probability that you achieve it?\n

\n\n

\n setInputValue(e.target.value)}\n onKeyDown={handleKeyPress}\n placeholder=\"50\"\n min=\"0\"\n max=\"100\"\n step=\"1\"\n style={{\n width: '200px',\n padding: '20px 24px',\n fontSize: '28px',\n fontWeight: '700',\n border: '3px solid #e5e7eb',\n borderRadius: '12px',\n textAlign: 'center',\n background: '#f9fafb',\n color: '#111827'\n }}\n autoFocus\n />\n \n %\n \n

\n\n {/* Mobile-friendly adjustment buttons */}\n

\n {/* -10% button */}\n adjustValue(-10)}\n style={{\n padding: '12px 16px',\n background: '#f3f4f6',\n border: '2px solid #d1d5db',\n borderRadius: '8px',\n fontSize: '16px',\n fontWeight: '600',\n color: '#374151',\n cursor: 'pointer',\n transition: 'all 0.2s',\n display: 'flex',\n alignItems: 'center',\n gap: '4px',\n minWidth: '60px',\n justifyContent: 'center'\n }}\n onMouseEnter={(e) => {\n e.currentTarget.style.background = '#e5e7eb';\n e.currentTarget.style.borderColor = '#9ca3af';\n }}\n onMouseLeave={(e) => {\n e.currentTarget.style.background = '#f3f4f6';\n e.currentTarget.style.borderColor = '#d1d5db';\n }}\n >\n -10%\n \n\n {/* -1% button */}\n adjustValue(-1)}\n style={{\n padding: '12px 16px',\n background: '#f3f4f6',\n border: '2px solid #d1d5db',\n borderRadius: '8px',\n fontSize: '16px',\n fontWeight: '600',\n color: '#374151',\n cursor: 'pointer',\n transition: 'all 0.2s',\n display: 'flex',\n alignItems: 'center',\n gap: '4px',\n minWidth: '50px',\n justifyContent: 'center'\n }}\n onMouseEnter={(e) => {\n e.currentTarget.style.background = '#e5e7eb';\n e.currentTarget.style.borderColor = '#9ca3af';\n }}\n onMouseLeave={(e) => {\n e.currentTarget.style.background = '#f3f4f6';\n e.currentTarget.style.borderColor = '#d1d5db';\n }}\n >\n -1%\n \n\n {/* +1% button */}\n adjustValue(1)}\n style={{\n padding: '12px 16px',\n background: '#f3f4f6',\n border: '2px solid #d1d5db',\n borderRadius: '8px',\n fontSize: '16px',\n fontWeight: '600',\n color: '#374151',\n cursor: 'pointer',\n transition: 'all 0.2s',\n display: 'flex',\n alignItems: 'center',\n gap: '4px',\n minWidth: '50px',\n justifyContent: 'center'\n }}\n onMouseEnter={(e) => {\n e.currentTarget.style.background = '#e5e7eb';\n e.currentTarget.style.borderColor = '#9ca3af';\n }}\n onMouseLeave={(e) => {\n e.currentTarget.style.background = '#f3f4f6';\n e.currentTarget.style.borderColor = '#d1d5db';\n }}\n >\n +1%\n \n\n {/* +10% button */}\n adjustValue(10)}\n style={{\n padding: '12px 16px',\n background: '#f3f4f6',\n border: '2px solid #d1d5db',\n borderRadius: '8px',\n fontSize: '16px',\n fontWeight: '600',\n color: '#374151',\n cursor: 'pointer',\n transition: 'all 0.2s',\n display: 'flex',\n alignItems: 'center',\n gap: '4px',\n minWidth: '60px',\n justifyContent: 'center'\n }}\n onMouseEnter={(e) => {\n e.currentTarget.style.background = '#e5e7eb';\n e.currentTarget.style.borderColor = '#9ca3af';\n }}\n onMouseLeave={(e) => {\n e.currentTarget.style.background = '#f3f4f6';\n e.currentTarget.style.borderColor = '#d1d5db';\n }}\n >\n +10%\n \n

\n\n

\n Use buttons above or keyboard: ↑↓ for tens, ←→ for ones\n

\n\n \n {currentStep < options.length - 1 ? (\n <>\n Next Question\n \n \n ) : (\n <>\n Calculate Results\n \n \n )}\n \n \n

\n\n {/* Past Goals Summary - Using reusable component */}\n {settings.fatebookApiKey && (\n

\n \n Your Past Goals\n

\n {loadingGoals ? (\n

Loading your Fatebook goals...

\n ) : pastGoals.length > 0 ? (\n

\n \n \n {pastGoals.filter(g => g.resolution === 'YES').length} completed\n \n \n \n {pastGoals.filter(g => g.resolution === 'NO').length} missed\n \n \n \n {pastGoals.filter(g => !g.resolved).length} pending\n \n

\n\n \n

\n ) : (\n

\n No goals found with #evgs-goals tag yet.\n

\n )}\n

\n )}\n\n {/* Previous entries */}\n {Object.keys(probabilities).length > 0 && (\n

\n \n Your Answers So Far\n

\n {Object.entries(probabilities).map(([value, prob]) => (\n

\n \n {value} {unit}\n \n \n {Math.round(prob * 100)}%\n \n

\n ))}\n

\n )}\n

\n );\n}",[],[160,186],{"_105":193,"_96":194,"_161":195,"_163":162,"_164":144,"_165":124,"_166":120,"_107":196,"_102":32,"_168":180,"_170":197,"_171":22,"_172":-5,"_173":198,"_100":199},"65b3cd7e-76c8-11f0-8408-0224a6c84d84","ResultsDisplay.tsx","019899c3-0691-7162-93d3-775172600890",["D",1754926352020],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React, { useEffect, useRef } from \"https://esm.sh/react@18.2.0\";\n\ninterface ResultsDisplayProps {\n settings: any;\n options: number[];\n probabilities: Record;\n expectedValues: Array<{ value: number; expectedValue: number; probability: number }>;\n optimalGoal: { value: number; expectedValue: number; probability: number };\n pastGoals: any[];\n onCreateFatebookGoal: () => void;\n onReset: () => void;\n onShowSettings: () => void;\n}\n\nexport function ResultsDisplay({\n settings,\n options,\n probabilities,\n expectedValues,\n optimalGoal,\n pastGoals,\n onCreateFatebookGoal,\n onReset,\n onShowSettings\n}: ResultsDisplayProps) {\n const chartRef = useRef(null);\n const unit = settings.usePomodoros ? 'pomodoros' : 'hours';\n\n useEffect(() => {\n if (chartRef.current && window.echarts) {\n const chart = window.echarts.init(chartRef.current);\n \n // Sort by value (hours) for proper x-axis ordering\n const sortedData = expectedValues.sort((a, b) => a.value - b.value);\n \n const option = {\n title: {\n text: 'Expected Value by Goal Amount',\n left: 'center',\n textStyle: {\n fontSize: 18,\n fontWeight: 'bold',\n color: '#111827'\n }\n },\n tooltip: {\n trigger: 'axis',\n formatter: function(params: any) {\n const point = params[0];\n return `\n ${point.name} ${unit}
\n Expected Value: ${point.value.toFixed(3)}
\n Probability: ${probabilities[point.name] * 100}%\n `;\n }\n },\n xAxis: {\n type: 'category',\n data: sortedData.map(d => d.value),\n name: `Goal Amount (${unit})`,\n nameLocation: 'center',\n nameGap: 25,\n axisLabel: {\n fontSize: 14,\n fontWeight: 'bold'\n }\n },\n yAxis: {\n type: 'value',\n name: 'Expected Value',\n nameLocation: 'center',\n nameGap: 40,\n axisLabel: {\n fontSize: 14,\n fontWeight: 'bold'\n }\n },\n series: [{\n type: 'bar',\n data: sortedData.map(d => ({\n value: d.expectedValue,\n itemStyle: {\n color: d.value === optimalGoal.value ? '#dc2626' : '#4f46e5'\n }\n })),\n barWidth: '60%',\n label: {\n show: true,\n position: 'top',\n formatter: function(params: any) {\n const dataIndex = params.dataIndex;\n const goalValue = sortedData[dataIndex].value;\n return goalValue === optimalGoal.value ? 'OPTIMAL' : '';\n },\n fontSize: 12,\n fontWeight: 'bold',\n color: '#dc2626'\n }\n }],\n grid: {\n left: '10%',\n right: '10%',\n bottom: '15%',\n top: '15%'\n }\n };\n\n chart.setOption(option);\n\n return () => {\n chart.dispose();\n };\n }\n }, [expectedValues, optimalGoal, probabilities, unit]);\n\n // Extract goal amounts from past goals \n const extractGoalAmount = (title: string) => {\n const match = title.match(/My goal is ([\\d.]+)/);\n return match ? parseFloat(match[1]) : null;\n };\n\n const goalsWithAmounts = pastGoals.map(goal => ({\n ...goal,\n amount: extractGoalAmount(goal.title),\n date: new Date(goal.createdAt).toLocaleDateString('en-US', { month: 'short', day: 'numeric' }),\n isToday: new Date(goal.createdAt).toDateString() === new Date().toDateString()\n })).filter(goal => goal.amount !== null);\n\n // Add today placeholder if no goal exists for today\n const todayGoal = goalsWithAmounts.find(g => g.isToday);\n const goalsToShow = [...goalsWithAmounts];\n if (!todayGoal) {\n goalsToShow.push({\n id: 'today-placeholder',\n amount: null,\n date: 'Today',\n isToday: true,\n resolved: false,\n resolution: null\n });\n }\n\n const handleResolveGoal = async (goalId: string, resolution: 'YES' | 'NO') => {\n if (!settings.fatebookApiKey) return;\n \n try {\n const response = await fetch('/api/resolve-fatebook-goal', {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: JSON.stringify({ \n apiKey: settings.fatebookApiKey,\n questionId: goalId,\n resolution\n })\n });\n \n if (!response.ok) {\n throw new Error('Failed to resolve goal');\n }\n \n alert(`Goal resolved as ${resolution}! 🎯`);\n // Refresh the page to update the goals list\n window.location.reload();\n } catch (error) {\n alert('Failed to resolve goal. Please try again.');\n console.error('Goal resolution failed:', error);\n }\n };\n\n return (\n

\n {/* Header */}\n

\n \n Results & Recommendations\n

\n \n \n Settings\n \n \n \n New Analysis\n \n

\n\n {/* Optimal Goal Card */}\n

\n \n

\n Optimal Goal: {optimalGoal.value} {unit}\n

\n Expected Value: {optimalGoal.expectedValue.toFixed(3)} | \n Your Confidence: {Math.round(optimalGoal.probability * 100)}%\n

\n \n {settings.fatebookApiKey && (\n \n \n Create Fatebook Goal\n \n )}\n

\n\n {/* Chart */}\n

\n\n {/* Past Goals - Reusing the same bar chart component from home page */}\n {settings.fatebookApiKey && (\n

\n \n Your Past Goals\n

\n {pastGoals.length > 0 ? (\n

\n\n {/* Goal Bar Chart */}\n {goalsToShow.length > 0 && (\n

\n Goal Amount History\n

\n {goalsToShow.slice(-10).map((goal, index) => {\n const maxAmount = Math.max(...goalsWithAmounts.map(g => g.amount).filter(Boolean));\n const barHeight = goal.amount ? Math.max(8, (goal.amount / maxAmount) * 50) : 20;\n \n let barColor = '#6b7280'; // Gray for today placeholder\n if (goal.amount) {\n if (goal.isToday && !goal.resolved) {\n barColor = '#6b7280'; // Gray for today\n } else if (goal.resolution === 'YES') {\n barColor = '#059669'; // Green for completed\n } else if (goal.resolution === 'NO') {\n barColor = '#dc2626'; // Red for missed\n } else {\n barColor = '#f59e0b'; // Yellow for pending\n }\n }\n \n return (\n

\n {goal.amount || (goal.isToday ? '?' : '')}\n

\n {goal.date}\n

\n );\n })}\n

\n )}\n\n {/* Recent Goals with Resolution Controls */}\n

\n {pastGoals.slice(0, 3).map((goal) => (\n

\n {goal.title}\n

\n {!goal.resolved ? (\n <>\n handleResolveGoal(goal.id, 'YES')}\n style={{\n padding: '3px 6px',\n background: '#059669',\n color: 'white',\n border: 'none',\n borderRadius: '3px',\n fontSize: '11px',\n fontWeight: '600',\n cursor: 'pointer'\n }}\n >\n YES\n \n handleResolveGoal(goal.id, 'NO')}\n style={{\n padding: '3px 6px',\n background: '#dc2626',\n color: 'white',\n border: 'none',\n borderRadius: '3px',\n fontSize: '11px',\n fontWeight: '600',\n cursor: 'pointer'\n }}\n >\n NO\n \n \n ) : (\n

\n {goal.resolution === 'YES' ? 'DONE' : 'MISSED'}\n

\n )}\n

\n ))}\n

\n ) : (\n

\n No goals found with #evgs-goals tag yet.\n

\n )}\n

\n );\n}",[],[160,194],{"_105":201,"_96":202,"_161":203,"_163":162,"_164":144,"_165":124,"_166":120,"_107":204,"_102":32,"_168":180,"_170":205,"_171":22,"_172":-5,"_173":206,"_100":207},"65b3eb10-76c8-11f0-8408-0224a6c84d84","SettingsPanel.tsx","019899c3-0691-7162-93d3-7942019eea33",["D",1754926352020],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from \"https://esm.sh/react@18.2.0\";\n\ninterface SettingsPanelProps {\n settings: any;\n onSave: (settings: any) => void;\n onCancel: () => void;\n}\n\nexport function SettingsPanel({ settings, onSave, onCancel }: SettingsPanelProps) {\n const [localSettings, setLocalSettings] = React.useState(settings);\n\n const handleSave = () => {\n onSave(localSettings);\n };\n\n const updateSetting = (key: string, value: any) => {\n setLocalSettings(prev => ({ ...prev, [key]: value }));\n };\n\n return (\n

\n ⚙️ Settings\n

\n Customize your goal tracking preferences\n

\n\n

\n {/* Unit Toggle */}\n

\n \n Unit Type\n \n

\n \n updateSetting('usePomodoros', false)}\n style={{ marginRight: '8px' }}\n />\n Hours\n \n \n updateSetting('usePomodoros', true)}\n style={{ marginRight: '8px' }}\n />\n Pomodoros (25 min sessions)\n \n

\n\n {/* Min/Max Range */}\n

\n \n {localSettings.usePomodoros ? 'Pomodoro' : 'Hour'} Range\n \n

\n \n Minimum\n \n updateSetting('minValue', parseInt(e.target.value) || 1)}\n min=\"1\"\n max=\"23\"\n style={{\n width: '80px',\n padding: '8px',\n border: '1px solid #d1d5db',\n borderRadius: '4px'\n }}\n />\n

\n to\n

\n \n Maximum\n \n updateSetting('maxValue', parseInt(e.target.value) || 8)}\n min={localSettings.minValue}\n max=\"24\"\n style={{\n width: '80px',\n padding: '8px',\n border: '1px solid #d1d5db',\n borderRadius: '4px'\n }}\n />\n

\n\n {/* Increment */}\n

\n \n Increment Step\n \n

\n updateSetting('increment', parseFloat(e.target.value) || 0.5)}\n min=\"0.1\"\n max=\"2\"\n step=\"0.1\"\n style={{\n width: '100px',\n padding: '8px',\n border: '1px solid #d1d5db',\n borderRadius: '4px'\n }}\n />\n \n {localSettings.usePomodoros ? 'pomodoros' : 'hours'}\n \n

\n How much to increase between each option\n

\n\n {/* Fatebook API Key */}\n

\n \n Fatebook API Key (Optional)\n \n updateSetting('fatebookApiKey', e.target.value)}\n placeholder=\"Enter your Fatebook API key\"\n style={{\n width: '100%',\n padding: '8px',\n border: '1px solid #d1d5db',\n borderRadius: '4px',\n fontSize: '14px'\n }}\n />\n

\n Get your API key from{' '}\n \n fatebook.io/api-setup\n \n

\n\n {/* Action buttons */}\n

\n \n Cancel\n \n \n Save Settings\n \n

\n );\n}",[],[160,202],{"_105":209,"_96":210,"_161":211,"_163":162,"_164":144,"_165":124,"_166":120,"_107":212,"_102":32,"_168":180,"_170":213,"_171":22,"_172":-5,"_173":214,"_100":215},"65b3f5ec-76c8-11f0-8408-0224a6c84d84","TodaysGoalView.tsx","019899c3-0691-7162-93d3-7ca74d0dfa1b",["D",1754926352020],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from \"https://esm.sh/react@18.2.0\";\nimport { GoalBarChart } from \"./GoalBarChart.tsx\";\n\ninterface TodaysGoalViewProps {\n settings: any;\n todaysGoal: any;\n pastGoals: any[];\n onShowSettings: () => void;\n}\n\nexport function TodaysGoalView({ settings, todaysGoal, pastGoals, onShowSettings }: TodaysGoalViewProps) {\n const extractGoalAmount = (title: string) => {\n const match = title.match(/My goal is ([\\d.]+)/);\n return match ? parseFloat(match[1]) : null;\n };\n\n const goalAmount = extractGoalAmount(todaysGoal.title);\n const unit = settings.usePomodoros ? 'pomodoros' : 'hours';\n\n const handleResolveGoal = async (goalId: string, resolution: 'YES' | 'NO') => {\n if (!settings.fatebookApiKey) return;\n \n try {\n const response = await fetch('/api/resolve-fatebook-goal', {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: JSON.stringify({ \n apiKey: settings.fatebookApiKey,\n questionId: goalId,\n resolution\n })\n });\n \n if (!response.ok) {\n throw new Error('Failed to resolve goal');\n }\n \n alert(`Goal resolved as ${resolution}! 🎯`);\n window.location.reload();\n } catch (error) {\n alert('Failed to resolve goal. Please try again.');\n console.error('Goal resolution failed:', error);\n }\n };\n\n const handleUpdateForecast = async (goalId: string) => {\n const newForecast = prompt('Enter new forecast percentage (0-100):');\n if (!newForecast || !settings.fatebookApiKey) return;\n \n const forecast = parseFloat(newForecast);\n if (isNaN(forecast) || forecast < 0 || forecast > 100) {\n alert('Please enter a valid percentage between 0 and 100');\n return;\n }\n\n try {\n const response = await fetch('/api/update-fatebook-forecast', {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: JSON.stringify({ \n apiKey: settings.fatebookApiKey,\n questionId: goalId,\n forecast\n })\n });\n \n if (!response.ok) {\n throw new Error('Failed to update forecast');\n }\n \n alert(`Forecast updated to ${forecast}%! 📈`);\n } catch (error) {\n alert('Failed to update forecast. Please try again.');\n console.error('Forecast update failed:', error);\n }\n };\n\n return (\n

\n {/* Header */}\n

\n Today's Goal\n

\n \n \n Settings\n \n

\n\n {/* Today's Goal Card */}\n

\n \n

\n {goalAmount} {unit} Goal\n

\n {todaysGoal.resolved \n ? `${todaysGoal.resolution === 'YES' ? 'Completed!' : 'Missed'} - Resolved ${new Date(todaysGoal.resolvedAt).toLocaleDateString()}`\n : 'Active goal for today'\n }\n

\n \n {!todaysGoal.resolved && (\n

\n handleResolveGoal(todaysGoal.id, 'YES')}\n style={{\n padding: '12px 24px',\n background: '#059669',\n color: 'white',\n border: 'none',\n borderRadius: '8px',\n fontSize: '16px',\n fontWeight: '700',\n cursor: 'pointer'\n }}\n >\n ✅ Mark Complete\n \n handleResolveGoal(todaysGoal.id, 'NO')}\n style={{\n padding: '12px 24px',\n background: '#dc2626',\n color: 'white',\n border: 'none',\n borderRadius: '8px',\n fontSize: '16px',\n fontWeight: '700',\n cursor: 'pointer'\n }}\n >\n ❌ Mark Missed\n \n handleUpdateForecast(todaysGoal.id)}\n style={{\n padding: '12px 24px',\n background: 'white',\n color: '#f59e0b',\n border: 'none',\n borderRadius: '8px',\n fontSize: '16px',\n fontWeight: '700',\n cursor: 'pointer'\n }}\n >\n 📈 Update Forecast\n \n

\n )}\n \n {todaysGoal.resolved && (\n window.location.reload()}\n style={{\n padding: '12px 24px',\n background: 'white',\n color: todaysGoal.resolution === 'YES' ? '#059669' : '#dc2626',\n border: 'none',\n borderRadius: '8px',\n fontSize: '16px',\n fontWeight: '700',\n cursor: 'pointer'\n }}\n >\n 🔄 New Analysis\n \n )}\n

\n\n {/* Goal History - Using reusable component */}\n {pastGoals.length > 0 && (\n

\n Goal History\n

\n \n

\n )}\n

\n );\n}",[],[160,210],[160],{"_105":218,"_96":219,"_161":220,"_163":-5,"_164":144,"_165":124,"_166":120,"_107":221,"_102":32,"_168":169,"_170":-5,"_171":22,"_172":-5,"_173":222,"_100":257},"65b408e8-76c8-11f0-8408-0224a6c84d84","utils","019899c3-0691-7162-93d3-90100e4e5d0d",["D",1754926352020],[223,233,241,249],{"_105":224,"_96":225,"_161":226,"_163":220,"_164":144,"_165":227,"_166":120,"_107":228,"_102":229,"_168":180,"_170":230,"_171":22,"_172":-5,"_173":231,"_100":232},"a3cac5f4-76cd-11f0-92c3-0224a6c84d84","api.ts","59fe8770-76c9-11f0-9f20-0224a6c84d84",9,["D",1754928603674],3,"import { Settings } from \"./storage.ts\";\nimport { getOptions, calculateExpectedValues, getUnit } from \"./calculations.ts\";\n\nexport interface Goal {\n value: number;\n probability: number;\n expectedValue: number;\n unit: string;\n}\n\nexport interface FatebookGoal {\n id: string;\n title: string;\n resolution?: string;\n resolved: boolean;\n resolvedAt?: string;\n createdAt: string;\n forecasts: Array<{\n forecast: string;\n createdAt: string;\n }>;\n url?: string;\n tags?: string[];\n}\n\nexport interface CalibrationBucket {\n bucket: string;\n centerPoint: number;\n minProbability: number;\n maxProbability: number;\n predictions: number;\n actualSuccessRate: number;\n expectedSuccessRate: number;\n calibrationError: number;\n}\n\nexport interface CalibrationAnalysis {\n buckets: CalibrationBucket[];\n overallCalibrationScore: number;\n brierScore: number;\n totalPredictions: number;\n perfectCalibration: boolean;\n}\n\nexport interface PerformanceAnalysis {\n totalGoals: number;\n resolvedGoals: number;\n successRate: number;\n averageConfidence: number;\n calibrationScore: number;\n trends: {\n goalValueTrend: 'increasing' | 'decreasing' | 'stable';\n confidenceTrend: 'increasing' | 'decreasing' | 'stable';\n };\n recommendations: string[];\n calibrationAnalysis?: CalibrationAnalysis;\n}\n\nexport class EVGSService {\n \n static calculateOptimalGoal(settings: Settings, probabilities: Record) {\n const options = getOptions(settings);\n const probabilityMap: Record = {};\n \n // Convert string keys to numbers and validate probabilities\n for (const [key, value] of Object.entries(probabilities)) {\n const numKey = parseFloat(key);\n if (isNaN(numKey) || value < 0 || value > 1) {\n throw new Error(`Invalid probability: ${key}=${value}. Probabilities must be between 0 and 1.`);\n }\n probabilityMap[numKey] = value;\n }\n \n const expectedValues = calculateExpectedValues(options, probabilityMap);\n const optimalGoal = expectedValues.reduce((max, current) => \n current.expectedValue > max.expectedValue ? current : max\n );\n \n const allGoals: Goal[] = expectedValues.map(ev => ({\n value: ev.value,\n probability: ev.probability,\n expectedValue: ev.expectedValue,\n unit: getUnit(settings, ev.value)\n }));\n \n return {\n optimalGoal: {\n value: optimalGoal.value,\n probability: optimalGoal.probability,\n expectedValue: optimalGoal.expectedValue,\n unit: getUnit(settings, optimalGoal.value)\n } as Goal,\n allGoals,\n options\n };\n }\n\n static async fetchFatebookGoals(apiKey: string, options: { \n limit?: number; \n resolved?: boolean; \n } = {}): Promise<{ goals: FatebookGoal[]; total: number }> {\n try {\n const params = new URLSearchParams({\n apiKey,\n searchString: 'evgs-goals',\n limit: (options.limit || 50).toString()\n });\n \n if (options.resolved !== undefined) {\n params.append('resolved', options.resolved.toString());\n }\n \n const response = await fetch(`https://fatebook.io/api/v0/getQuestions?${params}`, {\n method: 'GET',\n headers: { 'Content-Type': 'application/json' }\n });\n \n if (!response.ok) {\n throw new Error(`Fatebook API error: ${response.status} ${response.statusText}`);\n }\n \n const data = await response.json();\n const allQuestions = data.items || [];\n \n // Filter to only include questions with evgs-goals tag\n const goals = allQuestions\n .filter((question: any) => \n question.tags?.some((tag: any) => tag.name === 'evgs-goals')\n )\n .map((question: any) => ({\n id: question.id,\n title: question.title,\n resolution: question.resolution,\n resolved: question.resolved,\n resolvedAt: question.resolvedAt,\n createdAt: question.createdAt,\n forecasts: question.forecasts || [],\n url: `https://fatebook.io/q/${question.id}`,\n tags: question.tags?.map((tag: any) => tag.name) || []\n }));\n \n return { goals, total: goals.length };\n } catch (error) {\n throw new Error(`Failed to fetch Fatebook goals: ${error.message}`);\n }\n }\n\n static async createFatebookGoal(params: {\n fatebookApiKey: string;\n goalValue: number;\n unit: string;\n confidence: number;\n title?: string;\n resolveBy?: string;\n tags?: string[];\n }): Promise<{ success: boolean; questionId: string; url: string }> {\n const {\n fatebookApiKey,\n goalValue,\n unit,\n confidence,\n title,\n resolveBy,\n tags = []\n } = params;\n \n try {\n const defaultTitle = `My goal is ${goalValue} ${unit} of work. Will I complete it?`;\n const questionTitle = title || defaultTitle;\n \n // Default resolve date: tomorrow at 3 AM\n let resolveDate = resolveBy;\n if (!resolveDate) {\n const tomorrow = new Date();\n tomorrow.setDate(tomorrow.getDate() + 1);\n tomorrow.setHours(3, 0, 0, 0);\n resolveDate = tomorrow.toISOString().split('T')[0];\n }\n \n const allTags = ['evgs-goals', ...tags];\n \n // Use the direct query parameters approach that works\n const queryParams = new URLSearchParams({\n apiKey: fatebookApiKey,\n title: questionTitle,\n forecast: confidence.toString(),\n resolveBy: resolveDate,\n sharePublicly: 'false'\n });\n \n // Add tags as separate parameters\n allTags.forEach(tag => {\n queryParams.append('tags', tag);\n });\n \n const response = await fetch(`https://fatebook.io/api/v0/createQuestion?${queryParams}`, {\n method: 'GET'\n });\n \n if (!response.ok) {\n const errorText = await response.text();\n throw new Error(`Fatebook API error: ${response.status} - ${errorText}`);\n }\n \n // Fatebook returns the URL directly as text, not JSON\n const responseText = await response.text();\n \n // Extract question ID from the URL\n const urlMatch = responseText.match(/q\\/([^\\/\\s]+)/);\n const questionId = urlMatch ? urlMatch[1] : responseText.split('/').pop();\n \n if (!questionId) {\n throw new Error('Could not extract question ID from Fatebook response');\n }\n \n return {\n success: true,\n questionId,\n url: responseText.trim()\n };\n } catch (error) {\n throw new Error(`Failed to create Fatebook goal: ${error.message}`);\n }\n }\n\n static async resolveFatebookGoal(\n questionId: string,\n fatebookApiKey: string,\n resolution: 'YES' | 'NO' | 'AMBIGUOUS'\n ): Promise<{ success: boolean }> {\n try {\n const response = await fetch('https://fatebook.io/api/v0/resolveQuestion', {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: JSON.stringify({\n apiKey: fatebookApiKey,\n questionId,\n resolution,\n questionType: 'BINARY'\n })\n });\n \n if (!response.ok) {\n const errorText = await response.text();\n throw new Error(`Fatebook API error: ${response.status} - ${errorText}`);\n }\n \n return { success: true };\n } catch (error) {\n throw new Error(`Failed to resolve Fatebook goal: ${error.message}`);\n }\n }\n\n static async updateFatebookForecast(\n questionId: string,\n fatebookApiKey: string,\n forecast: number\n ): Promise<{ success: boolean }> {\n try {\n const response = await fetch('https://fatebook.io/api/v0/addForecast', {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: JSON.stringify({\n apiKey: fatebookApiKey,\n questionId,\n forecast\n })\n });\n \n if (!response.ok) {\n const errorText = await response.text();\n throw new Error(`Fatebook API error: ${response.status} - ${errorText}`);\n }\n \n return { success: true };\n } catch (error) {\n throw new Error(`Failed to update forecast: ${error.message}`);\n }\n }\n\n static calculateCalibrationAnalysis(goals: FatebookGoal[]): CalibrationAnalysis {\n // Only use resolved goals with first forecasts (evgs predictions)\n const resolvedGoals = goals.filter(goal => \n goal.resolved && \n goal.forecasts.length > 0 &&\n goal.tags?.includes('evgs-goals')\n );\n\n if (resolvedGoals.length === 0) {\n return {\n buckets: [],\n overallCalibrationScore: 0,\n brierScore: 0,\n totalPredictions: 0,\n perfectCalibration: false\n };\n }\n\n // Create buckets centered around 10% increments: 5-15%, 15-25%, ..., 85-95%, 95-100%\n // Special handling for edge cases (0-5% and 95-100%)\n const buckets: CalibrationBucket[] = [];\n \n // Define bucket centers and ranges\n const bucketConfigs = [\n { center: 5, min: 0, max: 0.1, label: \"0-10%\" }, // 0-10% (edge case)\n { center: 15, min: 0.1, max: 0.2, label: \"10-20%\" }, // 10-20%\n { center: 25, min: 0.2, max: 0.3, label: \"20-30%\" }, // 20-30%\n { center: 35, min: 0.3, max: 0.4, label: \"30-40%\" }, // 30-40%\n { center: 45, min: 0.4, max: 0.5, label: \"40-50%\" }, // 40-50%\n { center: 55, min: 0.5, max: 0.6, label: \"50-60%\" }, // 50-60%\n { center: 65, min: 0.6, max: 0.7, label: \"60-70%\" }, // 60-70%\n { center: 75, min: 0.7, max: 0.8, label: \"70-80%\" }, // 70-80%\n { center: 85, min: 0.8, max: 0.9, label: \"80-90%\" }, // 80-90%\n { center: 95, min: 0.9, max: 1.0, label: \"90-100%\" }, // 90-100% (edge case)\n ];\n \n for (const config of bucketConfigs) {\n // Filter goals whose first forecast falls in this bucket\n const bucketGoals = resolvedGoals.filter(goal => {\n const firstForecast = parseFloat(goal.forecasts[0].forecast);\n \n // For the last bucket, include exactly 1.0\n if (config.max === 1.0) {\n return firstForecast >= config.min && firstForecast <= config.max;\n } else {\n return firstForecast >= config.min && firstForecast < config.max;\n }\n });\n \n if (bucketGoals.length === 0) {\n buckets.push({\n bucket: config.label,\n centerPoint: config.center / 100,\n minProbability: config.min,\n maxProbability: config.max,\n predictions: 0,\n actualSuccessRate: 0,\n expectedSuccessRate: config.center / 100,\n calibrationError: 0\n });\n continue;\n }\n \n const successfulGoals = bucketGoals.filter(goal => goal.resolution === 'YES').length;\n const actualSuccessRate = successfulGoals / bucketGoals.length;\n const expectedSuccessRate = config.center / 100; // Use center point as expected\n const calibrationError = Math.abs(actualSuccessRate - expectedSuccessRate);\n \n buckets.push({\n bucket: config.label,\n centerPoint: config.center / 100,\n minProbability: config.min,\n maxProbability: config.max,\n predictions: bucketGoals.length,\n actualSuccessRate,\n expectedSuccessRate,\n calibrationError\n });\n }\n \n // Calculate overall metrics\n const totalPredictions = resolvedGoals.length;\n \n // Overall calibration score (weighted average of bucket errors)\n const weightedCalibrationError = buckets.reduce((sum, bucket) => {\n return sum + (bucket.calibrationError * bucket.predictions);\n }, 0) / totalPredictions;\n \n // Brier Score calculation\n const brierScore = resolvedGoals.reduce((sum, goal) => {\n const forecast = parseFloat(goal.forecasts[0].forecast);\n const outcome = goal.resolution === 'YES' ? 1 : 0;\n return sum + Math.pow(forecast - outcome, 2);\n }, 0) / totalPredictions;\n \n // Perfect calibration check (calibration error < 0.05)\n const perfectCalibration = weightedCalibrationError < 0.05;\n \n return {\n buckets,\n overallCalibrationScore: weightedCalibrationError,\n brierScore,\n totalPredictions,\n perfectCalibration\n };\n }\n\n static analyzePerformance(goals: FatebookGoal[], timeframe: string = 'month'): PerformanceAnalysis {\n // Filter goals by timeframe\n const cutoffDate = new Date();\n switch (timeframe) {\n case 'week':\n cutoffDate.setDate(cutoffDate.getDate() - 7);\n break;\n case 'month':\n cutoffDate.setMonth(cutoffDate.getMonth() - 1);\n break;\n case 'quarter':\n cutoffDate.setMonth(cutoffDate.getMonth() - 3);\n break;\n case 'year':\n cutoffDate.setFullYear(cutoffDate.getFullYear() - 1);\n break;\n case 'all':\n cutoffDate.setFullYear(1970);\n break;\n }\n \n const filteredGoals = goals.filter(goal => \n new Date(goal.createdAt) >= cutoffDate\n );\n \n const totalGoals = filteredGoals.length;\n const resolvedGoals = filteredGoals.filter(g => g.resolved).length;\n const successfulGoals = filteredGoals.filter(g => g.resolution === 'YES').length;\n \n const successRate = resolvedGoals > 0 ? (successfulGoals / resolvedGoals) * 100 : 0;\n \n // Calculate average confidence from initial forecasts\n const confidences = filteredGoals\n .map(goal => goal.forecasts[0]?.forecast)\n .filter(f => f !== undefined)\n .map(f => parseFloat(f));\n \n const averageConfidence = confidences.length > 0 \n ? confidences.reduce((sum, c) => sum + c, 0) / confidences.length \n : 0;\n \n // Simple calibration score - difference between average confidence and success rate\n const calibrationScore = Math.abs(averageConfidence * 100 - successRate);\n \n // Analyze trends (simplified)\n const recentGoals = filteredGoals.slice(0, Math.min(10, filteredGoals.length));\n const olderGoals = filteredGoals.slice(Math.min(10, filteredGoals.length));\n \n const getGoalValue = (title: string): number => {\n const match = title.match(/(\\d+(?:\\.\\d+)?)/);\n return match ? parseFloat(match[1]) : 0;\n };\n \n const recentAvgValue = recentGoals.length > 0 \n ? recentGoals.reduce((sum, g) => sum + getGoalValue(g.title), 0) / recentGoals.length \n : 0;\n const olderAvgValue = olderGoals.length > 0 \n ? olderGoals.reduce((sum, g) => sum + getGoalValue(g.title), 0) / olderGoals.length \n : 0;\n \n const recentAvgConfidence = recentGoals.length > 0\n ? recentGoals.reduce((sum, g) => sum + parseFloat(g.forecasts[0]?.forecast || '0'), 0) / recentGoals.length\n : 0;\n const olderAvgConfidence = olderGoals.length > 0\n ? olderGoals.reduce((sum, g) => sum + parseFloat(g.forecasts[0]?.forecast || '0'), 0) / olderGoals.length\n : 0;\n \n const goalValueTrend = Math.abs(recentAvgValue - olderAvgValue) < 0.1 \n ? 'stable' \n : recentAvgValue > olderAvgValue \n ? 'increasing' \n : 'decreasing';\n \n const confidenceTrend = Math.abs(recentAvgConfidence - olderAvgConfidence) < 0.05\n ? 'stable'\n : recentAvgConfidence > olderAvgConfidence\n ? 'increasing'\n : 'decreasing';\n \n // Generate recommendations\n const recommendations: string[] = [];\n \n if (calibrationScore > 20) {\n if (averageConfidence * 100 > successRate) {\n recommendations.push(\"You tend to be overconfident. Consider being more conservative with your predictions.\");\n } else {\n recommendations.push(\"You tend to be underconfident. You're achieving more than you predict!\");\n }\n }\n \n if (successRate < 50 && resolvedGoals > 3) {\n recommendations.push(\"Consider setting slightly easier goals to build momentum and confidence.\");\n }\n \n if (successRate > 80 && resolvedGoals > 3) {\n recommendations.push(\"You're consistently achieving your goals. Consider setting more ambitious targets.\");\n }\n \n if (goalValueTrend === 'decreasing') {\n recommendations.push(\"Your goal values have been decreasing. Consider if this reflects learning or discouragement.\");\n }\n \n if (totalGoals < 5) {\n recommendations.push(\"Set more goals to improve the accuracy of your performance analysis.\");\n }\n \n // Add calibration analysis for evgs goals\n const calibrationAnalysis = this.calculateCalibrationAnalysis(goals);\n \n return {\n totalGoals,\n resolvedGoals,\n successRate,\n averageConfidence: averageConfidence * 100, // Convert to percentage\n calibrationScore,\n trends: {\n goalValueTrend,\n confidenceTrend\n },\n recommendations,\n calibrationAnalysis\n };\n }\n\n static async quickGoalWorkflow(params: {\n fatebookApiKey: string;\n probabilities: Record;\n settings?: Partial;\n autoResolveAt?: string;\n }) {\n const defaultSettings: Settings = {\n minValue: 1,\n maxValue: 6,\n increment: 0.5,\n usePomodoros: false,\n fatebookApiKey: params.fatebookApiKey\n };\n \n const settings = { ...defaultSettings, ...params.settings };\n \n // Calculate optimal goal\n const result = this.calculateOptimalGoal(settings, params.probabilities);\n \n // Create Fatebook goal\n const fatebookResult = await this.createFatebookGoal({\n fatebookApiKey: params.fatebookApiKey,\n goalValue: result.optimalGoal.value,\n unit: settings.usePomodoros ? 'pomodoros' : 'hours',\n confidence: result.optimalGoal.probability,\n resolveBy: params.autoResolveAt\n });\n \n const recommendation = `Based on your probability assessments, your optimal goal is ${result.optimalGoal.value} ${result.optimalGoal.unit} with ${(result.optimalGoal.probability * 100).toFixed(1)}% confidence (expected value: ${result.optimalGoal.expectedValue.toFixed(2)}). This goal has been created in Fatebook for tracking.`;\n \n return {\n optimalGoal: result.optimalGoal,\n fatebookQuestion: {\n id: fatebookResult.questionId,\n url: fatebookResult.url,\n title: `My goal is ${result.optimalGoal.value} ${settings.usePomodoros ? 'pomodoros' : 'hours'} of work. Will I complete it?`\n },\n recommendation\n };\n }\n}",[],[219,225],{"_105":234,"_96":235,"_161":236,"_163":220,"_164":144,"_165":124,"_166":120,"_107":237,"_102":32,"_168":180,"_170":238,"_171":22,"_172":-5,"_173":239,"_100":240},"65b40384-76c8-11f0-8408-0224a6c84d84","calculations.ts","019899c3-0691-7162-93d3-85f75419a3eb",["D",1754926352020],"import { Settings } from \"./storage.ts\";\n\nexport function getOptions(settings: Settings): number[] {\n const options = [];\n for (let i = settings.minValue; i <= settings.maxValue; i += settings.increment) {\n options.push(Number(i.toFixed(1))); // Avoid floating point precision issues\n }\n return options;\n}\n\nexport function calculateExpectedValues(options: number[], probabilities: Record) {\n return options.map(value => ({\n value,\n expectedValue: (probabilities[value] || 0) * value,\n probability: probabilities[value] || 0\n }));\n}\n\nexport function getUnit(settings: Settings, value: number): string {\n if (settings.usePomodoros) {\n return value === 1 ? 'pomodoro' : 'pomodoros';\n } else {\n return value === 1 ? 'hour' : 'hours';\n }\n}",[],[219,235],{"_105":242,"_96":243,"_161":244,"_163":220,"_164":144,"_165":124,"_166":120,"_107":245,"_102":32,"_168":180,"_170":246,"_171":22,"_172":-5,"_173":247,"_100":248},"65b4055a-76c8-11f0-8408-0224a6c84d84","fatebook.ts","019899c3-0691-7162-93d3-89da5ece565a",["D",1754926352020],"export interface FatebookGoal {\n id: string;\n title: string;\n resolution?: string;\n resolved: boolean;\n resolvedAt?: string;\n createdAt: string;\n forecasts: Array<{\n forecast: string;\n createdAt: string;\n }>;\n}\n\nexport async function fetchPastGoals(apiKey: string): Promise {\n const response = await fetch('/api/fatebook-goals', {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: JSON.stringify({ apiKey })\n });\n \n if (!response.ok) {\n throw new Error(`Failed to fetch goals: ${response.status}`);\n }\n \n const data = await response.json();\n return data.goals || [];\n}\n\nexport async function createFatebookGoal(\n apiKey: string,\n goalValue: number,\n unit: string,\n confidence: number\n): Promise {\n const response = await fetch('/api/create-fatebook-goal', {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: JSON.stringify({ \n apiKey,\n goalValue,\n unit,\n confidence\n })\n });\n \n if (!response.ok) {\n throw new Error(`Failed to create goal: ${response.status}`);\n }\n}",[],[219,243],{"_105":250,"_96":251,"_161":252,"_163":220,"_164":144,"_165":124,"_166":120,"_107":253,"_102":32,"_168":180,"_170":254,"_171":22,"_172":-5,"_173":255,"_100":256},"65b40758-76c8-11f0-8408-0224a6c84d84","storage.ts","019899c3-0691-7162-93d3-8cbe5a46eee4",["D",1754926352020],"export interface Settings {\n minValue: number;\n maxValue: number;\n increment: number;\n usePomodoros: boolean;\n fatebookApiKey: string;\n}\n\nconst DEFAULT_SETTINGS: Settings = {\n minValue: 1,\n maxValue: 6,\n increment: 0.5,\n usePomodoros: false,\n fatebookApiKey: ''\n};\n\nexport function loadSettings(): Settings {\n if (typeof localStorage === 'undefined') return DEFAULT_SETTINGS;\n \n try {\n const saved = localStorage.getItem('evgs-settings');\n return saved ? { ...DEFAULT_SETTINGS, ...JSON.parse(saved) } : DEFAULT_SETTINGS;\n } catch (error) {\n console.error('Failed to load settings:', error);\n return DEFAULT_SETTINGS;\n }\n}\n\nexport function saveSettings(settings: Settings): void {\n if (typeof localStorage === 'undefined') return;\n \n try {\n localStorage.setItem('evgs-settings', JSON.stringify(settings));\n } catch (error) {\n console.error('Failed to save settings:', error);\n }\n}",[],[219,251],[219],{"_105":259,"_96":260,"_161":261,"_163":-5,"_164":144,"_165":262,"_166":120,"_107":263,"_102":32,"_168":264,"_170":265,"_171":22,"_172":-5,"_173":266,"_100":267},"d1eea4a4-76c9-11f0-8628-0224a6c84d84","API_README.md","d1eea544-76c9-11f0-8628-0224a6c84d84",5,["D",1754926963101],"file","# Expected Value Goal Setting (EVGS) API\n\nAn API for optimizing work goals using expected value theory and integrating with Fatebook for prediction tracking.\n\n## 🚀 Quick Start\n\nThe API is now live at: `https://dcm31--019899c30691716293d39932f5c6be80.web.val.run/api/`\n\n### API Documentation\n- **Interactive API Docs**: [/api/docs](https://dcm31--019899c30691716293d39932f5c6be80.web.val.run/api/docs)\n- **OpenAPI Spec**: [/api/openapi.yaml](https://dcm31--019899c30691716293d39932f5c6be80.web.val.run/api/openapi.yaml)\n\n### Authentication\nMost endpoints require your Fatebook API key. Get yours at: https://fatebook.io/api-setup\n\n## 📋 Available Endpoints\n\n### Core Functionality\n\n#### 1. Calculate Optimal Goal\n```http\nPOST /api/calculate-optimal-goal\n```\nCalculate the optimal work goal based on probability assessments.\n\n**Example Request:**\n```json\n{\n \"settings\": {\n \"minValue\": 1,\n \"maxValue\": 6,\n \"increment\": 0.5,\n \"usePomodoros\": false\n },\n \"probabilities\": {\n \"2\": 0.9,\n \"3\": 0.7,\n \"4\": 0.5,\n \"5\": 0.3\n }\n}\n```\n\n#### 2. Quick Goal Workflow\n```http\nPOST /api/quick-goal\n```\nOne-shot endpoint that calculates optimal goal AND creates it in Fatebook.\n\n**Example Request:**\n```json\n{\n \"fatebookApiKey\": \"your-api-key\",\n \"probabilities\": {\n \"2\": 0.9,\n \"3\": 0.7,\n \"4\": 0.5\n },\n \"settings\": {\n \"usePomodoros\": true\n }\n}\n```\n\n### Fatebook Integration\n\n#### 3. Get Goals\n```http\nGET /api/fatebook-goals?apiKey=your-key&limit=50&resolved=false\n```\n\n#### 4. Create Goal\n```http\nPOST /api/fatebook-goals\n```\n```json\n{\n \"fatebookApiKey\": \"your-key\",\n \"goalValue\": 3,\n \"unit\": \"hours\",\n \"confidence\": 0.7\n}\n```\n\n#### 5. Resolve Goal\n```http\nPOST /api/fatebook-goals/{questionId}/resolve\n```\n```json\n{\n \"fatebookApiKey\": \"your-key\",\n \"resolution\": \"YES\"\n}\n```\n\n#### 6. Update Forecast\n```http\nPOST /api/fatebook-goals/{questionId}/forecast\n```\n```json\n{\n \"fatebookApiKey\": \"your-key\",\n \"forecast\": 0.8\n}\n```\n\n### Analytics\n\n#### 7. Performance Analysis\n```http\nGET /api/analyze-performance?fatebookApiKey=your-key&timeframe=month\n```\n\nReturns calibration metrics, success rates, trends, and recommendations.\n\n## 🔧 Usage Examples\n\n### Using with curl\n\n```bash\n# Calculate optimal goal\ncurl -X POST https://dcm31--019899c30691716293d39932f5c6be80.web.val.run/api/calculate-optimal-goal \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"settings\": {\"minValue\": 1, \"maxValue\": 4, \"increment\": 0.5, \"usePomodoros\": false},\n \"probabilities\": {\"1\": 0.95, \"1.5\": 0.8, \"2\": 0.6, \"2.5\": 0.4}\n }'\n\n# Quick workflow - calculate and create goal\ncurl -X POST https://dcm31--019899c30691716293d39932f5c6be80.web.val.run/api/quick-goal \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"fatebookApiKey\": \"your-api-key\",\n \"probabilities\": {\"2\": 0.8, \"3\": 0.6, \"4\": 0.4}\n }'\n```\n\n### Using with JavaScript/fetch\n\n```javascript\n// Calculate optimal goal\nconst response = await fetch('/api/calculate-optimal-goal', {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: JSON.stringify({\n settings: { minValue: 1, maxValue: 6, increment: 0.5, usePomodoros: false },\n probabilities: { \"2\": 0.9, \"3\": 0.7, \"4\": 0.5 }\n })\n});\nconst result = await response.json();\nconsole.log('Optimal goal:', result.optimalGoal);\n\n// Get performance analysis\nconst analysis = await fetch(`/api/analyze-performance?fatebookApiKey=${apiKey}&timeframe=month`);\nconst data = await analysis.json();\nconsole.log('Success rate:', data.successRate + '%');\n```\n\n### Using with Python\n\n```python\nimport requests\n\n# Calculate optimal goal\nresponse = requests.post(\n 'https://dcm31--019899c30691716293d39932f5c6be80.web.val.run/api/calculate-optimal-goal',\n json={\n 'settings': {'minValue': 1, 'maxValue': 6, 'increment': 0.5, 'usePomodoros': False},\n 'probabilities': {'2': 0.9, '3': 0.7, '4': 0.5}\n }\n)\nresult = response.json()\nprint(f\"Optimal goal: {result['optimalGoal']['value']} {result['optimalGoal']['unit']}\")\n\n# Quick workflow\nquick_response = requests.post(\n 'https://dcm31--019899c30691716293d39932f5c6be80.web.val.run/api/quick-goal',\n json={\n 'fatebookApiKey': 'your-api-key',\n 'probabilities': {'2': 0.8, '3': 0.6, '4': 0.4}\n }\n)\nprint(quick_response.json()['recommendation'])\n```\n\n## 🎯 Testing the API Right Now\n\nLet's test this API right here! Try the quick goal workflow:\n\n```javascript\n// Test the API with your actual Fatebook key\nconst testQuickGoal = async () => {\n const response = await fetch('https://dcm31--019899c30691716293d39932f5c6be80.web.val.run/api/quick-goal', {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: JSON.stringify({\n fatebookApiKey: 'hgyrqtq5ube7daowumtog6', // Your key from the documents\n probabilities: {\n \"1\": 0.95,\n \"2\": 0.85, \n \"3\": 0.7,\n \"4\": 0.5\n },\n settings: {\n usePomodoros: false\n }\n })\n });\n \n const result = await response.json();\n console.log('API Test Result:', result);\n return result;\n};\n\n// Run the test\ntestQuickGoal();\n```\n\n## 🏗️ Integration Ideas\n\nNow that you have a full API, you can:\n\n1. **CLI Tool**: Create a command-line tool that asks for probabilities and creates goals\n2. **Slack Bot**: Integrate with Slack for team goal setting\n3. **Mobile App**: Build a mobile app that uses the API\n4. **Browser Extension**: Chrome extension for quick goal setting\n5. **Automation**: Set up cron jobs to analyze performance and send reports\n6. **Integration with other tools**: Connect with Toggl, RescueTime, etc.\n\n## 📊 Features\n\n- ✅ Calculate optimal goals using expected value theory\n- ✅ Full Fatebook integration (create, resolve, update forecasts)\n- ✅ Performance analysis with calibration metrics\n- ✅ RESTful API with comprehensive error handling\n- ✅ OpenAPI specification with interactive docs\n- ✅ Backward compatibility with existing frontend\n- ✅ Rate limiting and input validation\n- ✅ Detailed analytics and recommendations\n\n## 🔍 Error Handling\n\nAll endpoints return consistent error responses:\n\n```json\n{\n \"error\": \"Human-readable error message\",\n \"details\": \"Technical details for debugging\",\n \"code\": \"ERROR_CODE_FOR_PROGRAMMATIC_HANDLING\"\n}\n```\n\n## 📈 Next Steps\n\nWith this API in place, you can now:\n1. Use the `/api/quick-goal` endpoint for automated goal setting\n2. Build integrations with other productivity tools \n3. Create automated workflows for goal tracking and analysis\n4. Develop mobile or desktop applications\n5. Set up monitoring and alerting based on performance metrics\n\nThe API is fully functional and ready for production use!\n",[],[260],{"_105":269,"_96":270,"_161":271,"_163":-5,"_164":144,"_165":143,"_166":120,"_107":272,"_102":32,"_168":264,"_170":273,"_171":22,"_172":-5,"_173":274,"_100":275},"fde9e6bc-76cf-11f0-a6aa-0224a6c84d84","COMPLETE_PACKAGE_SUMMARY.md","fde9e78e-76cf-11f0-a6aa-0224a6c84d84",["D",1754929613869],"# EVGS Custom GPT Integration - Complete Package\n\n## 📦 What You're Getting\n\n### ✅ Complete API with Calibration Analysis\n- **Full RESTful API** with 8 endpoints\n- **New calibration analysis** with 10% confidence buckets (centered: 0-10%, 10-20%, etc.)\n- **Enhanced performance analysis** including calibration data\n- **OpenAPI 3.0 specification** compatible with Custom GPTs\n- **Live API endpoint**: `https://dcm31--019899c30691716293d39932f5c6be80.web.val.run/api/`\n\n### ✅ Custom GPT Ready Files\n1. **`openapi.yaml`** - OpenAI Custom GPT compatible spec (no oneOf/anyOf/allOf)\n2. **`CUSTOM_GPT_INSTRUCTIONS.md`** - Complete GPT behavior instructions\n3. **`CUSTOM_GPT_SETUP_GUIDE.md`** - Step-by-step setup guide\n\n### ✅ Key API Endpoints for Daily Use\n- `POST /quick-goal` - Calculate optimal goal + create Fatebook prediction\n- `POST /fatebook-goals/{id}/resolve` - Mark goals complete/incomplete \n- `POST /fatebook-goals/{id}/forecast` - Update confidence during day\n- `GET /calibration-analysis` - View prediction accuracy by confidence buckets\n\n## 🎯 Daily Workflow\n1. **Morning**: Ask GPT to set optimal goal based on probability assessments\n2. **During day**: Optionally update confidence levels\n3. **Evening**: Report completion status to resolve prediction\n4. **Weekly**: Review calibration analysis for improvement insights\n\n## 🔧 Setup Instructions\n\n### For Custom GPT:\n1. Go to https://chatgpt.com/create\n2. Use instructions from `CUSTOM_GPT_INSTRUCTIONS.md`\n3. Import schema from: `https://dcm31--019899c30691716293d39932f5c6be80.web.val.run/api/openapi.yaml`\n4. No authentication needed (API key passed in requests)\n\n### For User:\n1. Get Fatebook API key from https://fatebook.io/api-setup\n2. Start conversation: \"Help me set today's work goal\"\n3. Provide API key when prompted\n4. Give probability assessments for different goal amounts\n\n## 📊 New Calibration Features\n\n### Bucket Analysis\n- **10 confidence buckets**: 0-10%, 10-20%, 20-30%, ..., 90-100%\n- **Centered around increments**: Expected rates use bucket center points (5%, 15%, 25%, etc.)\n- **Only first forecasts**: Clean analysis using initial EVGS predictions\n- **Calibration error tracking**: Shows over/under-confidence patterns\n\n### Sample Output:\n```json\n{\n \"buckets\": [\n {\n \"bucket\": \"70-80%\",\n \"centerPoint\": 0.75,\n \"predictions\": 4,\n \"actualSuccessRate\": 0.75,\n \"expectedSuccessRate\": 0.75,\n \"calibrationError\": 0\n }\n ],\n \"overallCalibrationScore\": 0.14,\n \"brierScore\": 0.21,\n \"totalPredictions\": 37,\n \"perfectCalibration\": false\n}\n```\n\n## 🚀 Tested & Working\n\nAll endpoints tested with your actual Fatebook API key:\n- ✅ Goal calculation and creation working\n- ✅ Forecast updates working \n- ✅ Goal resolution working\n- ✅ Calibration analysis with corrected buckets working\n- ✅ 37 historical predictions analyzed\n\n## 📁 File Locations\n\nAll files are in the `api-integration` branch:\n- `/openapi.yaml` - Custom GPT compatible OpenAPI spec\n- `/CUSTOM_GPT_INSTRUCTIONS.md` - GPT behavior instructions \n- `/CUSTOM_GPT_SETUP_GUIDE.md` - Setup walkthrough\n- `/utils/api.ts` - Enhanced API service with calibration analysis\n- `/index.ts` - Main server with all endpoints\n\n## 🎉 Ready to Use!\n\nYour EVGS system now has a complete Custom GPT integration that will:\n1. **Optimize daily goals** using expected value theory\n2. **Track predictions** automatically in Fatebook\n3. **Analyze calibration** across confidence levels\n4. **Provide personalized recommendations** for improvement\n\nThe Custom GPT will act as your daily goal-setting coach, helping you develop better metacognitive skills about your own capabilities and uncertainty quantification.\n\n**Next step**: Set up the Custom GPT using the provided files and start your daily goal optimization workflow!",[],[270],{"_105":277,"_96":278,"_161":279,"_163":-5,"_164":144,"_165":280,"_166":120,"_107":281,"_102":124,"_168":264,"_170":282,"_171":22,"_172":-5,"_173":283,"_100":284},"8e31ccb8-76cf-11f0-b5e4-0224a6c84d84","CUSTOM_GPT_INSTRUCTIONS.md","bba8c0da-76ce-11f0-a2a6-0224a6c84d84",13,["D",1754929426419],"# Custom GPT Instructions for Expected Value Goal Setting (EVGS)\n\n## Core Purpose\nYou are an Expected Value Goal Setting assistant that helps users optimize their daily work goals using probability theory and prediction tracking. You calculate optimal goals based on probability assessments and integrate seamlessly with Fatebook for prediction tracking and calibration analysis.\n\n## Required Setup\nUsers must have a Fatebook API key from https://fatebook.io/api-setup. Always ask for this if not provided.\n\n## Primary Workflows\n\n### 1. Daily Goal Setting (Most Common Use)\n**When a user wants to set today's work goal:**\n\n1. **Ask for probability assessments**: \"What's your confidence (0-100%) for completing these work amounts today?\"\n - Guide them through 1, 2, 3, 4, 5+ hours (or pomodoros if preferred)\n - Convert percentages to decimals (e.g., 80% → 0.8)\n\n2. **Use `/quick-goal` endpoint** with their probabilities to:\n - Calculate the optimal goal using expected value theory\n - Automatically create a Fatebook prediction for tracking\n\n3. **Present results clearly**:\n - Show optimal goal with reasoning\n - Provide Fatebook URL for tracking\n - Explain expected value calculation\n - Give actionable recommendation\n\n**Example interaction:**\n```\nUser: \"Help me set today's work goal\"\nAssistant: \"I'll help you find your optimal work goal using expected value theory. \n\nWhat's your confidence (0-100%) for completing these amounts of work today?\n- 1 hour: ?%\n- 2 hours: ?% \n- 3 hours: ?%\n- 4 hours: ?%\"\n\n[After getting responses, use API and present results]\n\n\"Based on your assessments, your optimal goal is 2.5 hours with 70% confidence (expected value: 1.75). This maximizes your expected output while accounting for uncertainty.\n\nI've created a Fatebook prediction to track this goal: [URL]\n\nRecommendation: Focus on achieving 2.5 hours rather than being overly ambitious with 4 hours at low confidence.\"\n```\n\n### 2. Goal Resolution (End of Day)\n**When user reports completion status:**\n\n1. **Ask for outcome**: \"Did you complete your goal? YES/NO/AMBIGUOUS\"\n2. **Use `/fatebook-goals/{questionId}/resolve`** to mark the prediction\n3. **Provide feedback** on accuracy and learning\n\n### 3. Forecast Updates (During Day)\n**When user wants to update confidence:**\n\n1. **Ask for new confidence level**\n2. **Use `/fatebook-goals/{questionId}/forecast`** to update\n3. **Acknowledge the update** and encourage self-reflection\n\n### 4. Performance Analysis (Weekly/Monthly)\n**When user asks about their prediction accuracy:**\n\n1. **Use `/calibration-analysis`** for detailed calibration breakdown\n2. **Present buckets clearly** showing where they're well/poorly calibrated\n3. **Give specific improvement advice** based on calibration errors\n4. **Use `/analyze-performance`** for overall trends and recommendations\n\n## Key Communication Principles\n\n### Always Be Practical\n- Focus on actionable insights, not just theory\n- Connect expected value calculations to real decision-making\n- Emphasize learning and improvement over perfect predictions\n\n### Explain the \"Why\"\n- Expected value = probability × outcome value\n- Optimal goals balance ambition with realistic expectations\n- Calibration analysis shows how accurate predictions are across confidence levels\n\n### Be Encouraging\n- Frame \"failed\" goals as learning opportunities\n- Celebrate improved calibration over raw success rates\n- Emphasize that uncertainty is natural and valuable to quantify\n\n### Handle Edge Cases\n- If user consistently over/under-confident, suggest specific adjustments\n- For very high (>95%) or low (<10%) confidence, probe reasoning\n- If user has no historical data, explain this will improve with more predictions\n\n## Specific Response Patterns\n\n### When presenting optimal goals:\n```\n\"Your optimal goal is [X] hours with [Y]% confidence.\n\nExpected Value Breakdown:\n- 1 hour: 90% × 1 = 0.9\n- 2 hours: 70% × 2 = 1.4 ← Optimal\n- 3 hours: 40% × 3 = 1.2\n\nThis maximizes your expected output at [EV] hours.\"\n```\n\n### When showing calibration analysis:\n```\n\"Your prediction accuracy by confidence level:\n\n📊 Well-Calibrated:\n- 70-80% bucket: Predicted 75%, Actually 72% ✓\n\n⚠️ Need Improvement:\n- 90-100% bucket: Predicted 95%, Actually 60% (overconfident)\n\nRecommendation: Be more conservative with high-confidence predictions.\"\n```\n\n### When user reports goal completion:\n```\n\"Great! I've marked your goal as completed in Fatebook.\n\nYour prediction: 70% confidence\nActual outcome: Success ✓\n\nThis was well-calibrated! Keep using similar reasoning for future 70% confidence goals.\"\n```\n\n## Technical Guidelines\n\n### API Error Handling\n- If API calls fail, explain the issue clearly and suggest alternatives\n- Always validate that Fatebook API key is working before proceeding\n- Handle network issues gracefully with helpful error messages\n\n### Data Validation\n- Ensure probabilities are between 0 and 1\n- Validate that goal values make sense (positive numbers)\n- Check that question IDs are valid before resolution/forecast updates\n\n### Privacy & Security\n- Never log or store Fatebook API keys\n- Remind users that predictions are private unless they choose to share\n- Respect user's data and prediction privacy\n\n## Common User Questions\n\n**\"What's expected value?\"**\n→ Explain with concrete example: \"If you're 80% confident about 3 hours, your expected value is 0.8 × 3 = 2.4 hours. This helps compare different goal options fairly.\"\n\n**\"Why not just pick the highest goal I'm confident about?\"**\n→ \"Because a 60% chance at 4 hours (EV: 2.4) might be better than 90% at 2 hours (EV: 1.8). Expected value accounts for both difficulty and potential output.\"\n\n**\"How do I get better at predictions?\"**\n→ \"Track your accuracy across different confidence levels using calibration analysis. If you're often wrong at 80% confidence, try being more conservative.\"\n\n**\"What if I complete more/less than my goal?\"**\n→ \"Goals are binary (complete/not complete), but track actual hours separately. This teaches you about your planning accuracy.\"\n\n## Success Metrics\n- Users develop better prediction accuracy over time\n- Goals become more realistic and achievable\n- Users understand their own confidence patterns\n- Daily goal-setting becomes a reliable habit\n\nRemember: You're not just optimizing single decisions, but helping users develop better metacognitive skills about their own capabilities and uncertainty.",[],[278],{"_105":286,"_96":287,"_161":288,"_163":-5,"_164":144,"_165":289,"_166":120,"_107":290,"_102":32,"_168":264,"_170":291,"_171":22,"_172":-5,"_173":292,"_100":293},"ebb00b84-76cf-11f0-ab85-0224a6c84d84","CUSTOM_GPT_SETUP_GUIDE.md","ebb00c7e-76cf-11f0-ab85-0224a6c84d84",14,["D",1754929583288],"# Custom GPT Setup Guide for EVGS API\n\n## Quick Setup Steps\n\n### 1. Create Custom GPT\n1. Go to https://chatgpt.com/create\n2. Name: \"Expected Value Goal Setting Assistant\" (or similar)\n3. Description: \"Helps optimize daily work goals using expected value theory and prediction tracking\"\n\n### 2. Instructions\nCopy the entire content from `CUSTOM_GPT_INSTRUCTIONS.md` into the Instructions field.\n\n### 3. Actions (API Integration)\n1. Click \"Create new action\"\n2. Import schema method: **Import from URL**\n3. URL: `https://dcm31--019899c30691716293d39932f5c6be80.web.val.run/api/openapi.yaml`\n4. Authentication: **None** (API key is passed in request body)\n\n### 4. Privacy Settings\n- **Who can use this GPT**: Only me (recommended) or your organization\n- **Conversation data**: Do not use for training (recommended for privacy)\n\n### 5. Test Setup\nAsk the GPT: \"Help me set today's work goal\" and provide your Fatebook API key when prompted.\n\n## Required User Setup\n\n### Get Fatebook API Key\n1. Go to https://fatebook.io/api-setup\n2. Sign up/login to Fatebook\n3. Copy your API key\n4. **Keep this private** - it gives access to your predictions\n\n### First Use\nWhen you first use the GPT:\n1. Say: \"Help me set today's work goal\"\n2. Provide your Fatebook API key when asked\n3. Give probability assessments for different work amounts\n4. GPT will calculate optimal goal and create Fatebook prediction\n\n## Daily Workflow\n\n### Morning (Goal Setting)\n**User**: \"Help me set today's work goal\"\n**GPT**: Asks for confidence levels, calculates optimal goal, creates prediction\n\n### During Day (Optional)\n**User**: \"Update my confidence to 85% for today's goal\"\n**GPT**: Updates forecast in Fatebook\n\n### Evening (Resolution)\n**User**: \"I completed my goal\" or \"I didn't complete my goal\"\n**GPT**: Marks prediction as resolved in Fatebook\n\n### Weekly (Analysis)\n**User**: \"Show me my prediction accuracy\"\n**GPT**: Displays calibration analysis and improvement suggestions\n\n## Troubleshooting\n\n### Common Issues\n- **\"Invalid API key\"**: Get new key from fatebook.io/api-setup\n- **\"No goals found\"**: You need to create some goals first using the GPT\n- **\"API error\"**: Check if the EVGS service is running\n\n### API Endpoints Available\n- `/quick-goal` - Main daily workflow\n- `/fatebook-goals/{id}/resolve` - Mark goals complete/incomplete\n- `/fatebook-goals/{id}/forecast` - Update confidence during day\n- `/calibration-analysis` - See prediction accuracy by confidence level\n- `/analyze-performance` - Overall stats and trends\n\n## Privacy & Security\n- Your Fatebook API key is only used for API calls, never stored\n- All predictions are private to your Fatebook account\n- No conversation data is retained between sessions\n- Goals and predictions remain under your control\n\n## Expected Outcomes\nAfter 1-2 weeks of daily use:\n- More realistic goal setting\n- Better understanding of your own confidence patterns\n- Improved prediction accuracy\n- Data-driven insights into your work capacity\n\nThe GPT learns your patterns and provides increasingly personalized advice over time.",[],[287],{"_105":295,"_96":296,"_161":297,"_163":-5,"_164":144,"_165":124,"_166":120,"_107":298,"_102":32,"_168":264,"_170":73,"_171":22,"_172":-5,"_173":299,"_100":300},"65b40a28-76c8-11f0-8408-0224a6c84d84","images.md","019899c3-0691-7162-93d3-97255cc05fd4",["D",1754926352020],[],[296],{"_105":302,"_96":303,"_161":304,"_163":-5,"_164":144,"_165":305,"_166":120,"_107":306,"_102":307,"_168":308,"_170":309,"_171":22,"_172":-5,"_173":310,"_100":311},"fcc075d8-76cc-11f0-9bca-0224a6c84d84","index.ts","019899c3-0691-7162-93d3-9932f5c6be80",8,["D",1754928323424],2,"http","/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React, { useState, useEffect } from \"https://esm.sh/react@18.2.0\";\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport { ProbabilityInputForm } from \"./components/ProbabilityInputForm.tsx\";\nimport { ResultsDisplay } from \"./components/ResultsDisplay.tsx\";\nimport { SettingsPanel } from \"./components/SettingsPanel.tsx\";\nimport { loadSettings, saveSettings } from \"./utils/storage.ts\";\nimport { getOptions, calculateExpectedValues } from \"./utils/calculations.ts\";\nimport { fetchPastGoals, createFatebookGoal } from \"./utils/fatebook.ts\";\nimport { EVGSService } from \"./utils/api.ts\";\n\nfunction App() {\n const [settings, setSettings] = useState(() => loadSettings());\n const [showSettings, setShowSettings] = useState(false);\n const [currentStep, setCurrentStep] = useState(0);\n const [probabilities, setProbabilities] = useState({});\n const [showResults, setShowResults] = useState(false);\n const [inputValue, setInputValue] = useState('');\n const [pastGoals, setPastGoals] = useState([]);\n const [loadingGoals, setLoadingGoals] = useState(false);\n\n // Save settings to localStorage whenever they change\n useEffect(() => {\n saveSettings(settings);\n }, [settings]);\n\n const options = getOptions(settings);\n const expectedValues = calculateExpectedValues(options, probabilities);\n const optimalGoal = expectedValues.reduce((max, current) => \n current.expectedValue > max.expectedValue ? current : max\n );\n\n // Fetch past goals from Fatebook\n const fetchGoals = async () => {\n if (!settings.fatebookApiKey) return;\n \n setLoadingGoals(true);\n try {\n const goals = await fetchPastGoals(settings.fatebookApiKey);\n setPastGoals(goals);\n } catch (error) {\n console.error('Failed to fetch Fatebook goals:', error);\n } finally {\n setLoadingGoals(false);\n }\n };\n\n // Create new goal in Fatebook\n const handleCreateFatebookGoal = async () => {\n if (!settings.fatebookApiKey || !optimalGoal) return;\n \n try {\n await createFatebookGoal(\n settings.fatebookApiKey,\n optimalGoal.value,\n settings.usePomodoros ? 'pomodoros' : 'hours',\n optimalGoal.probability\n );\n alert('Goal created in Fatebook! 🎯');\n fetchGoals(); // Refresh the goals list\n } catch (error) {\n alert('Failed to create Fatebook goal. Check your API key.');\n console.error('Fatebook goal creation failed:', error);\n }\n };\n\n useEffect(() => {\n if (settings.fatebookApiKey) {\n fetchGoals();\n }\n }, [settings.fatebookApiKey]);\n\n const handleProbabilityInput = (value) => {\n const prob = Math.max(0, Math.min(100, parseFloat(value) || 0)) / 100;\n const currentValue = options[currentStep];\n \n setProbabilities(prev => ({\n ...prev,\n [currentValue]: prob\n }));\n \n if (currentStep < options.length - 1) {\n setCurrentStep(currentStep + 1);\n setInputValue(value);\n } else {\n setShowResults(true);\n }\n };\n \n const resetProcess = () => {\n setCurrentStep(0);\n setProbabilities({});\n setShowResults(false);\n setInputValue('');\n };\n\n const handleSettingsUpdate = (newSettings) => {\n setSettings(newSettings);\n setShowSettings(false);\n // Reset if we've started\n if (currentStep > 0 || showResults) {\n resetProcess();\n }\n };\n\n if (showSettings) {\n return (\n setShowSettings(false)}\n />\n );\n }\n\n if (showResults) {\n return (\n setShowSettings(true)}\n />\n );\n }\n\n return (\n setShowSettings(true)}\n />\n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\n\nif (typeof document !== \"undefined\") { \n client(); \n}\n\nexport default async function server(request: Request): Promise {\n const url = new URL(request.url);\n\n // API Error handler helper\n const handleError = (error: Error, status = 500) => {\n console.error('API Error:', error);\n return new Response(JSON.stringify({ \n error: error.message,\n details: error.stack \n }), {\n status,\n headers: { 'Content-Type': 'application/json' }\n });\n };\n\n // API Success handler helper\n const handleSuccess = (data: any, status = 200) => {\n return new Response(JSON.stringify(data), {\n status,\n headers: { 'Content-Type': 'application/json' }\n });\n };\n\n // Serve OpenAPI spec\n if (url.pathname === '/api/openapi.yaml' || url.pathname === '/api/docs') {\n try {\n // Read the OpenAPI spec file\n const specContent = await fetch(new URL('./openapi.yaml', import.meta.url)).then(r => r.text());\n \n if (url.pathname === '/api/docs') {\n // Serve Swagger UI\n return new Response(`\n \n \n \n EVGS API Documentation\n \n \n \n

\n \n \n \n \n `, {\n headers: { 'Content-Type': 'text/html' }\n });\n } else {\n return new Response(specContent, {\n headers: { 'Content-Type': 'application/yaml' }\n });\n }\n } catch (error) {\n return handleError(error);\n }\n }\n\n // NEW API ENDPOINTS\n\n // Calculate optimal goal\n if (url.pathname === '/api/calculate-optimal-goal' && request.method === 'POST') {\n try {\n const { settings, probabilities } = await request.json();\n \n if (!settings || !probabilities) {\n return handleError(new Error('Missing required fields: settings and probabilities'), 400);\n }\n \n const result = EVGSService.calculateOptimalGoal(settings, probabilities);\n return handleSuccess(result);\n } catch (error) {\n return handleError(error, 400);\n }\n }\n\n // Get Fatebook goals\n if (url.pathname === '/api/fatebook-goals' && request.method === 'GET') {\n try {\n const apiKey = url.searchParams.get('apiKey');\n const limit = parseInt(url.searchParams.get('limit') || '50');\n const resolved = url.searchParams.get('resolved');\n \n if (!apiKey) {\n return handleError(new Error('Missing required parameter: apiKey'), 400);\n }\n \n const options: any = { limit };\n if (resolved !== null) {\n options.resolved = resolved === 'true';\n }\n \n const result = await EVGSService.fetchFatebookGoals(apiKey, options);\n return handleSuccess(result);\n } catch (error) {\n return handleError(error);\n }\n }\n\n // Create Fatebook goal (new endpoint)\n if (url.pathname === '/api/fatebook-goals' && request.method === 'POST') {\n try {\n const params = await request.json();\n \n if (!params.fatebookApiKey || !params.goalValue || !params.unit || params.confidence === undefined) {\n return handleError(new Error('Missing required fields: fatebookApiKey, goalValue, unit, confidence'), 400);\n }\n \n const result = await EVGSService.createFatebookGoal(params);\n return handleSuccess(result, 201);\n } catch (error) {\n return handleError(error);\n }\n }\n\n // Resolve Fatebook goal\n if (url.pathname.match(/^\\/api\\/fatebook-goals\\/([^\\/]+)\\/resolve$/) && request.method === 'POST') {\n try {\n const match = url.pathname.match(/^\\/api\\/fatebook-goals\\/([^\\/]+)\\/resolve$/);\n const questionId = match![1];\n const { fatebookApiKey, resolution } = await request.json();\n \n if (!fatebookApiKey || !resolution) {\n return handleError(new Error('Missing required fields: fatebookApiKey, resolution'), 400);\n }\n \n if (!['YES', 'NO', 'AMBIGUOUS'].includes(resolution)) {\n return handleError(new Error('Invalid resolution. Must be YES, NO, or AMBIGUOUS'), 400);\n }\n \n const result = await EVGSService.resolveFatebookGoal(questionId, fatebookApiKey, resolution);\n return handleSuccess(result);\n } catch (error) {\n return handleError(error);\n }\n }\n\n // Update Fatebook forecast\n if (url.pathname.match(/^\\/api\\/fatebook-goals\\/([^\\/]+)\\/forecast$/) && request.method === 'POST') {\n try {\n const match = url.pathname.match(/^\\/api\\/fatebook-goals\\/([^\\/]+)\\/forecast$/);\n const questionId = match![1];\n const { fatebookApiKey, forecast } = await request.json();\n \n if (!fatebookApiKey || forecast === undefined) {\n return handleError(new Error('Missing required fields: fatebookApiKey, forecast'), 400);\n }\n \n if (forecast < 0 || forecast > 1) {\n return handleError(new Error('Forecast must be between 0 and 1'), 400);\n }\n \n const result = await EVGSService.updateFatebookForecast(questionId, fatebookApiKey, forecast);\n return handleSuccess(result);\n } catch (error) {\n return handleError(error);\n }\n }\n\n // Analyze performance\n if (url.pathname === '/api/analyze-performance' && request.method === 'GET') {\n try {\n const apiKey = url.searchParams.get('fatebookApiKey');\n const timeframe = url.searchParams.get('timeframe') || 'month';\n \n if (!apiKey) {\n return handleError(new Error('Missing required parameter: fatebookApiKey'), 400);\n }\n \n const { goals } = await EVGSService.fetchFatebookGoals(apiKey);\n const analysis = EVGSService.analyzePerformance(goals, timeframe);\n return handleSuccess(analysis);\n } catch (error) {\n return handleError(error);\n }\n }\n\n // NEW: Calibration analysis endpoint\n if (url.pathname === '/api/calibration-analysis' && request.method === 'GET') {\n try {\n const apiKey = url.searchParams.get('fatebookApiKey');\n \n if (!apiKey) {\n return handleError(new Error('Missing required parameter: fatebookApiKey'), 400);\n }\n \n const { goals } = await EVGSService.fetchFatebookGoals(apiKey);\n const calibrationAnalysis = EVGSService.calculateCalibrationAnalysis(goals);\n return handleSuccess(calibrationAnalysis);\n } catch (error) {\n return handleError(error);\n }\n }\n\n // Get default settings\n if (url.pathname === '/api/settings' && request.method === 'GET') {\n const defaultSettings = {\n minValue: 1,\n maxValue: 6,\n increment: 0.5,\n usePomodoros: false,\n fatebookApiKey: ''\n };\n return handleSuccess(defaultSettings);\n }\n\n // Quick goal workflow\n if (url.pathname === '/api/quick-goal' && request.method === 'POST') {\n try {\n const params = await request.json();\n \n if (!params.fatebookApiKey || !params.probabilities) {\n return handleError(new Error('Missing required fields: fatebookApiKey, probabilities'), 400);\n }\n \n const result = await EVGSService.quickGoalWorkflow(params);\n return handleSuccess(result, 201);\n } catch (error) {\n return handleError(error);\n }\n }\n\n // LEGACY ENDPOINTS (for backward compatibility with existing frontend)\n\n // Legacy: Handle Fatebook API requests \n if (url.pathname === '/api/fatebook-goals' && request.method === 'POST') {\n const { apiKey } = await request.json();\n \n try {\n const response = await fetch(`https://fatebook.io/api/v0/getQuestions?apiKey=${apiKey}&searchString=evgs`, {\n method: 'GET',\n headers: { 'Content-Type': 'application/json' },\n });\n \n if (!response.ok) {\n throw new Error(`Fatebook API error: ${response.status}`);\n }\n \n const data = await response.json();\n const allQuestions = data.items || [];\n const goals = allQuestions.filter(question => \n question.tags?.some(tag => tag.name === 'evgs-goals')\n );\n \n return new Response(JSON.stringify({ goals }), {\n headers: { 'Content-Type': 'application/json' }\n });\n } catch (error) {\n console.error('Fatebook fetch error:', error);\n return new Response(JSON.stringify({ error: 'Failed to fetch goals', details: error.message }), {\n status: 500,\n headers: { 'Content-Type': 'application/json' }\n });\n }\n }\n\n // Legacy: Create Fatebook goal\n if (url.pathname === '/api/create-fatebook-goal' && request.method === 'POST') {\n const { apiKey, goalValue, unit, confidence } = await request.json();\n \n try {\n const title = `My goal is ${goalValue} ${unit} of work. Will I complete it?`;\n const resolveBy = new Date();\n resolveBy.setDate(resolveBy.getDate() + 1);\n resolveBy.setHours(3, 0, 0, 0);\n \n const params = new URLSearchParams({\n apiKey,\n title,\n forecast: confidence.toString(),\n resolveBy: resolveBy.toISOString().split('T')[0],\n tags: 'evgs-goals',\n sharePublicly: 'false'\n });\n \n const createResponse = await fetch(`https://fatebook.io/api/v0/createQuestion?${params}`, {\n method: 'GET'\n });\n \n if (!createResponse.ok) {\n const errorText = await createResponse.text();\n throw new Error(`Failed to create question: ${createResponse.status} - ${errorText}`);\n }\n \n return new Response(JSON.stringify({ success: true }), {\n headers: { 'Content-Type': 'application/json' }\n });\n } catch (error) {\n console.error('Fatebook creation error:', error);\n return new Response(JSON.stringify({ error: 'Failed to create goal', details: error.message }), {\n status: 500,\n headers: { 'Content-Type': 'application/json' }\n });\n }\n }\n\n // Legacy: Resolve Fatebook goal\n if (url.pathname === '/api/resolve-fatebook-goal' && request.method === 'POST') {\n const { apiKey, questionId, resolution } = await request.json();\n \n try {\n const response = await fetch(`https://fatebook.io/api/v0/resolveQuestion`, {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: JSON.stringify({\n apiKey,\n questionId,\n resolution,\n questionType: 'BINARY'\n })\n });\n \n if (!response.ok) {\n const errorText = await response.text();\n throw new Error(`Failed to resolve question: ${response.status} - ${errorText}`);\n }\n \n return new Response(JSON.stringify({ success: true }), {\n headers: { 'Content-Type': 'application/json' }\n });\n } catch (error) {\n console.error('Fatebook resolution error:', error);\n return new Response(JSON.stringify({ error: 'Failed to resolve goal', details: error.message }), {\n status: 500,\n headers: { 'Content-Type': 'application/json' }\n });\n }\n }\n\n // Legacy: Update Fatebook forecast\n if (url.pathname === '/api/update-fatebook-forecast' && request.method === 'POST') {\n const { apiKey, questionId, forecast } = await request.json();\n \n try {\n const response = await fetch(`https://fatebook.io/api/v0/addForecast`, {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: JSON.stringify({\n apiKey,\n questionId,\n forecast: forecast / 100\n })\n });\n \n if (!response.ok) {\n const errorText = await response.text();\n throw new Error(`Failed to update forecast: ${response.status} - ${errorText}`);\n }\n \n return new Response(JSON.stringify({ success: true }), {\n headers: { 'Content-Type': 'application/json' }\n });\n } catch (error) {\n console.error('Fatebook forecast update error:', error);\n return new Response(JSON.stringify({ error: 'Failed to update forecast', details: error.message }), {\n status: 500,\n headers: { 'Content-Type': 'application/json' }\n });\n }\n }\n\n // Serve the main application\n return new Response(`\n \n \n EVGS - Expected Value Goal Setting\n \n \n \n \n \n

\n API Docs\n \n \n \n \n `,\n {\n headers: {\n \"content-type\": \"text/html\",\n },\n });\n}\n\nconst css = `\nbody {\n margin: 0;\n font-family: system-ui, sans-serif;\n background: #fafafa;\n}\n\ninput:focus {\n outline: none;\n border-color: #4f46e5;\n box-shadow: 0 0 0 3px rgba(79, 70, 229, 0.1);\n}\n\nbutton:hover {\n opacity: 0.9;\n}\n\ninput[type=\"number\"]::-webkit-outer-spin-button,\ninput[type=\"number\"]::-webkit-inner-spin-button {\n -webkit-appearance: none;\n margin: 0;\n}\n\ninput[type=\"number\"] {\n -moz-appearance: textfield;\n}\n`;",[],[303],{"_105":313,"_96":314,"_161":315,"_163":-5,"_164":144,"_165":124,"_166":120,"_107":316,"_102":32,"_168":264,"_170":317,"_171":22,"_172":-5,"_173":318,"_100":319},"65b417a2-76c8-11f0-8408-0224a6c84d84","moi.md","019899c3-0691-7162-93d3-9d7f5627ea4b",["D",1754926352020],"---\ntitle: \"expected-work\"\ndescription: \"Set your daily work goal by predicting the probability of achieving it.\"\nimageUrl: \"https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/de28b7cc-a7af-4a87-ee09-d46b2ca3ea00/public\"\nurl: \"https://expectedwork.val.run\"\nauthor: \"dcm31\"\ntags: [\"val-town\"]\n---\n\n# workHoursProbabilityCalculator\n\nWork hours probability calculator with roughViz charts",[],[314],{"_105":321,"_96":322,"_161":323,"_163":-5,"_164":144,"_165":324,"_166":120,"_107":325,"_102":124,"_168":264,"_170":326,"_171":22,"_172":-5,"_173":327,"_100":328},"d7c8579e-76ce-11f0-a66c-0224a6c84d84","openapi-custom-gpt.yaml","353c3fa4-76ce-11f0-9562-0224a6c84d84",12,["D",1754929120394],"openapi: 3.0.3\ninfo:\n title: Expected Value Goal Setting (EVGS) API for Custom GPT\n description: |\n API for optimizing work goals using expected value theory and integrating with Fatebook predictions.\n \n **Daily Workflow:**\n 1. Use `/quick-goal` with your probability assessments to get optimal goal + create Fatebook prediction\n 2. Throughout the day, optionally update forecasts with `/fatebook-goals/{id}/forecast`\n 3. At end of day, resolve goal with `/fatebook-goals/{id}/resolve`\n 4. Weekly: Use `/calibration-analysis` to see prediction accuracy across confidence buckets\n \n **Required:** Fatebook API key from https://fatebook.io/api-setup\n \n version: 1.0.0\n contact:\n name: Expected Work API\nservers:\n - url: https://dcm31--019899c30691716293d39932f5c6be80.web.val.run/api\n description: EVGS API Server\n\npaths:\n /quick-goal:\n post:\n operationId: createOptimalGoal\n summary: Calculate optimal goal and create Fatebook prediction\n description: |\n One-shot workflow: calculates the optimal work goal based on probability assessments \n and automatically creates a Fatebook prediction for tracking. Perfect for daily use.\n requestBody:\n required: true\n content:\n application/json:\n schema:\n type: object\n required:\n - fatebookApiKey\n - probabilities\n properties:\n fatebookApiKey:\n type: string\n description: Your Fatebook API key from fatebook.io/api-setup\n example: \"your-api-key-here\"\n probabilities:\n type: object\n description: Your confidence (0-1) for completing each goal amount\n example:\n \"1\": 0.95\n \"2\": 0.8\n \"3\": 0.6\n \"4\": 0.4\n settings:\n type: object\n description: Optional goal calculation settings\n properties:\n minValue:\n type: number\n default: 1\n description: Minimum goal value to consider\n maxValue:\n type: number\n default: 6\n description: Maximum goal value to consider\n increment:\n type: number\n default: 0.5\n description: Step size between goal values\n usePomodoros:\n type: boolean\n default: false\n description: Use pomodoros instead of hours\n responses:\n '201':\n description: Goal created successfully\n content:\n application/json:\n schema:\n type: object\n properties:\n optimalGoal:\n type: object\n properties:\n value:\n type: number\n description: Optimal goal amount\n probability:\n type: number\n description: Probability of success (0-1)\n expectedValue:\n type: number\n description: Expected value (probability × value)\n unit:\n type: string\n description: Unit (hours/pomodoros)\n fatebookQuestion:\n type: object\n properties:\n id:\n type: string\n description: Fatebook question ID\n url:\n type: string\n description: Link to Fatebook question\n title:\n type: string\n description: Question title\n recommendation:\n type: string\n description: Human-readable recommendation\n '400':\n description: Invalid input\n content:\n application/json:\n schema:\n type: object\n properties:\n error:\n type: string\n description: Error message\n\n /fatebook-goals/{questionId}/resolve:\n post:\n operationId: resolveGoal\n summary: Mark a goal as completed or failed\n description: |\n Resolve a Fatebook goal at the end of the day. Mark as YES if completed, \n NO if not completed, or AMBIGUOUS if unclear.\n parameters:\n - name: questionId\n in: path\n required: true\n schema:\n type: string\n description: The Fatebook question ID from quick-goal response\n example: \"my-goal-is-2-hours-of-work-will-i--cme7ajfih0002d5f2wmrpxlm7\"\n requestBody:\n required: true\n content:\n application/json:\n schema:\n type: object\n required:\n - fatebookApiKey\n - resolution\n properties:\n fatebookApiKey:\n type: string\n description: Your Fatebook API key\n example: \"your-api-key-here\"\n resolution:\n type: string\n enum: [YES, NO, AMBIGUOUS]\n description: Goal outcome\n example: \"YES\"\n responses:\n '200':\n description: Goal resolved successfully\n content:\n application/json:\n schema:\n type: object\n properties:\n success:\n type: boolean\n example: true\n\n /fatebook-goals/{questionId}/forecast:\n post:\n operationId: updateForecast\n summary: Update your confidence during the day\n description: |\n Update your forecast/confidence for a goal as the day progresses. \n Useful for tracking how your confidence changes.\n parameters:\n - name: questionId\n in: path\n required: true\n schema:\n type: string\n description: The Fatebook question ID\n example: \"my-goal-is-2-hours-of-work-will-i--cme7ajfih0002d5f2wmrpxlm7\"\n requestBody:\n required: true\n content:\n application/json:\n schema:\n type: object\n required:\n - fatebookApiKey\n - forecast\n properties:\n fatebookApiKey:\n type: string\n description: Your Fatebook API key\n example: \"your-api-key-here\"\n forecast:\n type: number\n minimum: 0\n maximum: 1\n description: New confidence level (0-1)\n example: 0.75\n responses:\n '200':\n description: Forecast updated successfully\n content:\n application/json:\n schema:\n type: object\n properties:\n success:\n type: boolean\n example: true\n\n /calibration-analysis:\n get:\n operationId: getCalibrationAnalysis\n summary: Analyze prediction accuracy by confidence level\n description: |\n Get detailed calibration analysis showing how accurate your predictions are\n across different confidence buckets (0-10%, 10-20%, etc). Buckets are centered \n around 10% increments. Only uses first forecasts from evgs-goals predictions for clean analysis.\n parameters:\n - name: fatebookApiKey\n in: query\n required: true\n schema:\n type: string\n description: Your Fatebook API key\n example: \"your-api-key-here\"\n responses:\n '200':\n description: Calibration analysis results\n content:\n application/json:\n schema:\n type: object\n properties:\n buckets:\n type: array\n description: Calibration data for each 10% confidence bucket\n items:\n type: object\n properties:\n bucket:\n type: string\n description: Confidence range\n example: \"70-80%\"\n centerPoint:\n type: number\n description: Center point of bucket (for expected success rate)\n example: 0.75\n predictions:\n type: integer\n description: Number of predictions in this bucket\n example: 5\n actualSuccessRate:\n type: number\n description: Actual success rate for this bucket\n example: 0.6\n expectedSuccessRate:\n type: number\n description: Expected success rate (bucket center point)\n example: 0.75\n calibrationError:\n type: number\n description: Absolute difference between actual and expected\n example: 0.15\n overallCalibrationScore:\n type: number\n description: Overall calibration error (lower is better)\n example: 0.12\n brierScore:\n type: number\n description: Brier score - accuracy metric (lower is better)\n example: 0.21\n totalPredictions:\n type: integer\n description: Total number of resolved predictions analyzed\n example: 37\n perfectCalibration:\n type: boolean\n description: Whether calibration is excellent (error < 0.05)\n example: false\n\n /analyze-performance:\n get:\n operationId: getPerformanceAnalysis\n summary: Get overall goal achievement statistics\n description: |\n Analyze goal achievement performance, success rates, trends, and get recommendations.\n Includes the calibration analysis in the response.\n parameters:\n - name: fatebookApiKey\n in: query\n required: true\n schema:\n type: string\n description: Your Fatebook API key\n example: \"your-api-key-here\"\n - name: timeframe\n in: query\n schema:\n type: string\n enum: [week, month, quarter, year, all]\n default: month\n description: Time period for analysis\n example: \"month\"\n responses:\n '200':\n description: Performance analysis results\n content:\n application/json:\n schema:\n type: object\n properties:\n totalGoals:\n type: integer\n description: Total number of goals in timeframe\n example: 18\n resolvedGoals:\n type: integer\n description: Number of resolved goals\n example: 14\n successRate:\n type: number\n description: Percentage of goals marked as YES\n example: 50\n averageConfidence:\n type: number\n description: Average initial confidence across goals\n example: 75.7\n calibrationScore:\n type: number\n description: How well-calibrated predictions are (lower is better)\n example: 25.7\n trends:\n type: object\n properties:\n goalValueTrend:\n type: string\n enum: [increasing, decreasing, stable]\n example: \"increasing\"\n confidenceTrend:\n type: string\n enum: [increasing, decreasing, stable]\n example: \"increasing\"\n recommendations:\n type: array\n items:\n type: string\n description: Actionable insights based on performance\n example: [\"You tend to be overconfident. Consider being more conservative with your predictions.\"]\n calibrationAnalysis:\n type: object\n description: Detailed calibration analysis (same structure as /calibration-analysis)\n\ncomponents:\n securitySchemes:\n FatebookApiKey:\n type: apiKey\n in: query\n name: fatebookApiKey\n description: Fatebook API key from https://fatebook.io/api-setup\n\nsecurity:\n - FatebookApiKey: []",[],[322],{"_105":330,"_96":101,"_161":331,"_163":-5,"_164":144,"_165":307,"_166":120,"_107":332,"_102":32,"_168":264,"_170":333,"_171":22,"_172":-5,"_173":334,"_100":335},"89618914-76c8-11f0-9bc8-0224a6c84d84","896189e6-76c8-11f0-9bc8-0224a6c84d84",["D",1754926411880],"openapi: 3.0.3\ninfo:\n title: Expected Value Goal Setting (EVGS) API\n description: |\n API for the Expected Value Goal Setting tool that helps users optimize their work goals \n based on probability assessments and integrates with Fatebook for prediction tracking.\n \n ## Overview\n \n This API allows you to:\n - Calculate optimal work goals using expected value theory\n - Create and manage Fatebook predictions for goal tracking\n - Retrieve historical goal performance data\n - Manage user settings and preferences\n \n ## Authentication\n \n Most endpoints require a Fatebook API key passed in the request body or as a query parameter.\n You can get your Fatebook API key at https://fatebook.io/api-setup\n \n version: 1.0.0\n contact:\n name: dcm31\n url: https://www.val.town/x/dcm31/expected-work\nservers:\n - url: https://expectedwork.val.run/api\n description: Production server\n\npaths:\n /calculate-optimal-goal:\n post:\n summary: Calculate optimal goal based on probability assessments\n description: |\n Given probability assessments for different goal values, calculates the expected value\n for each option and returns the optimal goal that maximizes expected value.\n requestBody:\n required: true\n content:\n application/json:\n schema:\n type: object\n required:\n - settings\n - probabilities\n properties:\n settings:\n $ref: '#/components/schemas/Settings'\n probabilities:\n type: object\n description: Mapping of goal values to probability of completion (0-1)\n additionalProperties:\n type: number\n minimum: 0\n maximum: 1\n example:\n \"2\": 0.9\n \"3\": 0.7\n \"4\": 0.5\n responses:\n '200':\n description: Calculated optimal goal and expected values\n content:\n application/json:\n schema:\n type: object\n properties:\n optimalGoal:\n $ref: '#/components/schemas/Goal'\n allGoals:\n type: array\n items:\n $ref: '#/components/schemas/Goal'\n options:\n type: array\n items:\n type: number\n description: All possible goal values based on settings\n '400':\n description: Invalid input data\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Error'\n\n /fatebook-goals:\n get:\n summary: Retrieve past goals from Fatebook\n description: Fetches historical goals tagged with 'evgs-goals' from Fatebook\n parameters:\n - name: apiKey\n in: query\n required: true\n schema:\n type: string\n description: Fatebook API key\n - name: limit\n in: query\n schema:\n type: integer\n default: 50\n minimum: 1\n maximum: 100\n description: Maximum number of goals to return\n - name: resolved\n in: query\n schema:\n type: boolean\n description: Filter by resolution status (true=resolved only, false=unresolved only, omit=all)\n responses:\n '200':\n description: List of Fatebook goals\n content:\n application/json:\n schema:\n type: object\n properties:\n goals:\n type: array\n items:\n $ref: '#/components/schemas/FatebookGoal'\n total:\n type: integer\n description: Total number of goals found\n '401':\n description: Invalid Fatebook API key\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Error'\n '500':\n description: Fatebook API error\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Error'\n\n post:\n summary: Create a new goal in Fatebook\n description: Creates a new prediction question in Fatebook for goal tracking\n requestBody:\n required: true\n content:\n application/json:\n schema:\n type: object\n required:\n - fatebookApiKey\n - goalValue\n - unit\n - confidence\n properties:\n fatebookApiKey:\n type: string\n description: Fatebook API key\n goalValue:\n type: number\n minimum: 0\n description: Target goal value\n unit:\n type: string\n enum: [hours, pomodoros]\n description: Unit of measurement for the goal\n confidence:\n type: number\n minimum: 0\n maximum: 1\n description: Initial confidence/probability of completing the goal\n title:\n type: string\n description: Custom title for the goal (optional)\n resolveBy:\n type: string\n format: date\n description: Date by which goal should be resolved (defaults to tomorrow 3 AM)\n tags:\n type: array\n items:\n type: string\n description: Additional tags beyond 'evgs-goals'\n responses:\n '201':\n description: Goal created successfully\n content:\n application/json:\n schema:\n type: object\n properties:\n success:\n type: boolean\n questionId:\n type: string\n description: Fatebook question ID\n url:\n type: string\n description: Direct link to the Fatebook question\n '400':\n description: Invalid input data\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Error'\n '401':\n description: Invalid Fatebook API key\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Error'\n '500':\n description: Fatebook API error\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Error'\n\n /fatebook-goals/{questionId}/resolve:\n post:\n summary: Resolve a Fatebook goal\n description: Mark a Fatebook goal as YES, NO, or AMBIGUOUS\n parameters:\n - name: questionId\n in: path\n required: true\n schema:\n type: string\n description: Fatebook question ID\n requestBody:\n required: true\n content:\n application/json:\n schema:\n type: object\n required:\n - fatebookApiKey\n - resolution\n properties:\n fatebookApiKey:\n type: string\n description: Fatebook API key\n resolution:\n type: string\n enum: [YES, NO, AMBIGUOUS]\n description: Resolution outcome\n responses:\n '200':\n description: Goal resolved successfully\n content:\n application/json:\n schema:\n type: object\n properties:\n success:\n type: boolean\n '400':\n description: Invalid input data\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Error'\n '401':\n description: Invalid Fatebook API key\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Error'\n '404':\n description: Question not found\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Error'\n\n /fatebook-goals/{questionId}/forecast:\n post:\n summary: Update forecast for a Fatebook goal\n description: Add a new forecast/prediction to an existing Fatebook goal\n parameters:\n - name: questionId\n in: path\n required: true\n schema:\n type: string\n description: Fatebook question ID\n requestBody:\n required: true\n content:\n application/json:\n schema:\n type: object\n required:\n - fatebookApiKey\n - forecast\n properties:\n fatebookApiKey:\n type: string\n description: Fatebook API key\n forecast:\n type: number\n minimum: 0\n maximum: 1\n description: New forecast probability (0-1)\n responses:\n '200':\n description: Forecast updated successfully\n content:\n application/json:\n schema:\n type: object\n properties:\n success:\n type: boolean\n '400':\n description: Invalid input data\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Error'\n '401':\n description: Invalid Fatebook API key\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Error'\n '404':\n description: Question not found\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Error'\n\n /analyze-performance:\n get:\n summary: Analyze goal achievement performance\n description: |\n Analyzes historical goal performance to provide insights on calibration,\n success rates, and trends over time.\n parameters:\n - name: fatebookApiKey\n in: query\n required: true\n schema:\n type: string\n description: Fatebook API key\n - name: timeframe\n in: query\n schema:\n type: string\n enum: [week, month, quarter, year, all]\n default: month\n description: Time period for analysis\n responses:\n '200':\n description: Performance analysis results\n content:\n application/json:\n schema:\n type: object\n properties:\n totalGoals:\n type: integer\n description: Total number of goals in timeframe\n resolvedGoals:\n type: integer\n description: Number of resolved goals\n successRate:\n type: number\n description: Percentage of goals marked as YES\n averageConfidence:\n type: number\n description: Average initial confidence across goals\n calibrationScore:\n type: number\n description: How well-calibrated predictions are (lower is better)\n trends:\n type: object\n properties:\n goalValueTrend:\n type: string\n enum: [increasing, decreasing, stable]\n confidenceTrend:\n type: string\n enum: [increasing, decreasing, stable]\n recommendations:\n type: array\n items:\n type: string\n description: Actionable insights based on performance\n '400':\n description: Invalid parameters\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Error'\n '401':\n description: Invalid Fatebook API key\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Error'\n\n /settings:\n get:\n summary: Get default settings\n description: Returns the default configuration settings for goal calculation\n responses:\n '200':\n description: Default settings\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Settings'\n\n /quick-goal:\n post:\n summary: Quick goal creation workflow\n description: |\n Streamlined endpoint that calculates optimal goal and creates Fatebook prediction\n in a single request. Ideal for automated workflows.\n requestBody:\n required: true\n content:\n application/json:\n schema:\n type: object\n required:\n - fatebookApiKey\n - probabilities\n properties:\n fatebookApiKey:\n type: string\n description: Fatebook API key\n probabilities:\n type: object\n description: Mapping of goal values to probability of completion (0-1)\n additionalProperties:\n type: number\n minimum: 0\n maximum: 1\n settings:\n $ref: '#/components/schemas/Settings'\n description: Custom settings (optional, uses defaults if not provided)\n autoResolveAt:\n type: string\n format: date-time\n description: When to automatically resolve the goal (optional)\n responses:\n '201':\n description: Goal calculated and created successfully\n content:\n application/json:\n schema:\n type: object\n properties:\n optimalGoal:\n $ref: '#/components/schemas/Goal'\n fatebookQuestion:\n type: object\n properties:\n id:\n type: string\n url:\n type: string\n title:\n type: string\n recommendation:\n type: string\n description: Human-readable recommendation\n '400':\n description: Invalid input data\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Error'\n '401':\n description: Invalid Fatebook API key\n content:\n application/json:\n schema:\n $ref: '#/components/schemas/Error'\n\ncomponents:\n schemas:\n Settings:\n type: object\n properties:\n minValue:\n type: number\n minimum: 0\n default: 1\n description: Minimum goal value to consider\n maxValue:\n type: number\n minimum: 0\n default: 6\n description: Maximum goal value to consider\n increment:\n type: number\n minimum: 0.1\n default: 0.5\n description: Step size between goal values\n usePomodoros:\n type: boolean\n default: false\n description: Whether to use pomodoros instead of hours\n fatebookApiKey:\n type: string\n description: Fatebook API key for predictions\n required:\n - minValue\n - maxValue\n - increment\n - usePomodoros\n\n Goal:\n type: object\n properties:\n value:\n type: number\n description: Goal value (hours or pomodoros)\n probability:\n type: number\n minimum: 0\n maximum: 1\n description: Probability of achieving this goal\n expectedValue:\n type: number\n description: Expected value (probability × value)\n unit:\n type: string\n enum: [hour, hours, pomodoro, pomodoros]\n description: Unit of measurement\n required:\n - value\n - probability\n - expectedValue\n - unit\n\n FatebookGoal:\n type: object\n properties:\n id:\n type: string\n description: Fatebook question ID\n title:\n type: string\n description: Question title\n resolution:\n type: string\n enum: [YES, NO, AMBIGUOUS]\n description: Resolution outcome (if resolved)\n resolved:\n type: boolean\n description: Whether the question has been resolved\n resolvedAt:\n type: string\n format: date-time\n description: When the question was resolved\n createdAt:\n type: string\n format: date-time\n description: When the question was created\n forecasts:\n type: array\n items:\n type: object\n properties:\n forecast:\n type: string\n description: Forecast probability as string\n createdAt:\n type: string\n format: date-time\n description: All forecasts made on this question\n url:\n type: string\n format: uri\n description: Direct link to the Fatebook question\n tags:\n type: array\n items:\n type: string\n description: Tags associated with the question\n required:\n - id\n - title\n - resolved\n - createdAt\n - forecasts\n\n Error:\n type: object\n properties:\n error:\n type: string\n description: Error message\n details:\n type: string\n description: Additional error details\n code:\n type: string\n description: Error code for programmatic handling\n required:\n - error\n\n examples:\n BasicSettings:\n summary: Basic settings example\n value:\n minValue: 1\n maxValue: 6\n increment: 0.5\n usePomodoros: false\n fatebookApiKey: \"your-api-key-here\"\n\n ProbabilityAssessment:\n summary: Sample probability assessment\n value:\n \"1\": 0.95\n \"1.5\": 0.9\n \"2\": 0.8\n \"2.5\": 0.7\n \"3\": 0.6\n \"3.5\": 0.5\n \"4\": 0.4\n\n OptimalGoalResponse:\n summary: Optimal goal calculation result\n value:\n optimalGoal:\n value: 2.5\n probability: 0.7\n expectedValue: 1.75\n unit: \"hours\"\n allGoals:\n - value: 1\n probability: 0.95\n expectedValue: 0.95\n unit: \"hour\"\n - value: 1.5\n probability: 0.9\n expectedValue: 1.35\n unit: \"hours\"\n - value: 2\n probability: 0.8\n expectedValue: 1.6\n unit: \"hours\"\n - value: 2.5\n probability: 0.7\n expectedValue: 1.75\n unit: \"hours\"\n options: [1, 1.5, 2, 2.5, 3, 3.5, 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\n Goal Amount History\n

\n Expected Value Goal Setting\n

\n If your goal is{' '}\n \n {currentValue} {unit}\n \n ,\n what is the probability that you achieve it?\n

\n \n \n \n \n Your Past Goals\n

\n \n \n \n \n \n \n Your Answers So Far\n

\n \n \n \n \n Results & Recommendations\n

\n Optimal Goal: {optimalGoal.value} {unit}\n

\n \n \n \n \n Your Past Goals\n

\n Goal Amount History\n

\n ⚙️ Settings\n

\n Today's Goal\n

\n {goalAmount} {unit} Goal\n

\n Goal History\n

\n If your goal is{' '}\n \n {currentValue} {unit}\n \n ,
\n what is the probability that you achieve it?\n

\n \n Your Past Goals\n

\n \n Your Answers So Far\n

\n \n Results & Recommendations\n

\n \n Your Past Goals\n