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import type { SkillEvent } from '@shared/types/data/skill-event';
import { eventColors, eventLabels } from '@web/constants';
import {
CategoryScale,
Chart as ChartJS,
type ChartOptions,
Legend,
LinearScale,
LineElement,
PointElement,
Title,
Tooltip,
} from 'chart.js';
import annotationPlugin from 'chartjs-plugin-annotation';
import { format } from 'date-fns';
import { useMemo, useState } from 'react';
import { Line } from 'react-chartjs-2';
// Register Chart.js components
ChartJS.register(
CategoryScale,
LinearScale,
PointElement,
LineElement,
Title,
Tooltip,
Legend,
annotationPlugin,
);
interface SkillPerformanceChartProps {
evaluationScores: Array<{
time_bucket: string;
avg_score: number | null;
scores_by_evaluation: Record<string, number> | null;
count: number;
}>;
events?: SkillEvent[];
clusters?: Array<{ id: string; name: string }>; // For cluster name lookup
size?: 'small' | 'large';
intervalMinutes?: number; // Bucket size in minutes
windowHours?: number; // Total time window in hours
endTime?: Date; // End time for the chart (rightmost bucket)
}
const METHOD_COLORS: Record<string, string> = {
task_completion: 'rgb(59, 130, 246)', // blue
argument_correctness: 'rgb(168, 85, 247)', // purple
role_adherence: 'rgb(34, 197, 94)', // green
turn_relevancy: 'rgb(251, 146, 60)', // orange
tool_correctness: 'rgb(236, 72, 153)', // pink
knowledge_retention: 'rgb(14, 165, 233)', // sky
conversation_completeness: 'rgb(168, 85, 247)', // purple
hallucination: 'rgb(220, 38, 38)', // red
custom: 'rgb(148, 163, 184)', // gray
latency: 'rgb(6, 182, 212)', // cyan
};
export function SkillPerformanceChart({
evaluationScores,
events = [],
clusters = [],
size = 'large',
intervalMinutes = 60,
windowHours = 24,
endTime = new Date(),
}: SkillPerformanceChartProps) {
const [hoveredIndex, setHoveredIndex] = useState<number | null>(null);
// Create cluster name lookup map
const clusterNameMap = useMemo(() => {
const map = new Map<string, string>();
for (const cluster of clusters) {
map.set(cluster.id, cluster.name);
}
return map;
}, [clusters]);
const chartData = useMemo(() => {
// Generate all time buckets for the window
const now = endTime;
const startTime = new Date(now.getTime() - windowHours * 60 * 60 * 1000);
const buckets: Array<{ time: Date; label: string }> = [];
// Generate bucket times
let bucketTime = new Date(startTime);
// Round to bucket boundary
const startMinutes =
Math.floor(bucketTime.getMinutes() / intervalMinutes) * intervalMinutes;
bucketTime.setMinutes(startMinutes, 0, 0);
while (bucketTime <= now) {
// Format label based on interval size and chart size
let label: string;
if (size === 'small') {
// For small charts, show only time
label = format(bucketTime, 'h:mm a');
} else if (intervalMinutes >= 1440) {
// 1 day or more: show only date
label = format(bucketTime, 'MMM d');
} else if (intervalMinutes >= 60) {
// 1 hour to 24 hours: show date and hour
label = format(bucketTime, 'MMM d, ha');
} else {
// Less than 1 hour: show date and time
label = format(bucketTime, 'MMM d, h:mm a');
}
buckets.push({ time: new Date(bucketTime), label });
bucketTime = new Date(bucketTime.getTime() + intervalMinutes * 60 * 1000);
}
// Create a map of time bucket to score
const scoreMap = new Map<string, number | null>();
for (const score of evaluationScores) {
const bucketTime = new Date(score.time_bucket).getTime();
scoreMap.set(
bucketTime.toString(),
score.avg_score !== null ? score.avg_score * 100 : null,
);
}
// Fill in data for all buckets
const labels = buckets.map((b) => b.label);
// Collect all evaluation methods across all buckets
const allMethods = new Set<string>();
for (const score of evaluationScores) {
if (score.scores_by_evaluation) {
for (const method of Object.keys(score.scores_by_evaluation)) {
allMethods.add(method);
}
}
}
// Create a map for each evaluation method
const methodDataMaps = new Map<string, Map<string, number>>();
for (const method of allMethods) {
methodDataMaps.set(method, new Map());
}
// Fill method maps with scores
for (const score of evaluationScores) {
const bucketTime = new Date(score.time_bucket).getTime();
if (score.scores_by_evaluation) {
for (const [method, methodScore] of Object.entries(
score.scores_by_evaluation,
)) {
const methodMap = methodDataMaps.get(method);
if (methodMap) {
methodMap.set(bucketTime.toString(), methodScore * 100);
}
}
}
}
// Format method names
const formatMethodName = (method: string) => {
return method
.split('_')
.map((word) => word.charAt(0).toUpperCase() + word.slice(1))
.join(' ');
};
// Create datasets for each evaluation method
const methodDatasets = Array.from(methodDataMaps.entries()).map(
([method, methodMap]) => {
const data = buckets.map((b) => {
const score = methodMap.get(b.time.getTime().toString());
return score !== undefined ? score : null;
});
const hasOnlyOnePoint = data.filter((d) => d !== null).length === 1;
const color = METHOD_COLORS[method] || 'rgb(148, 163, 184)';
return {
label: formatMethodName(method),
data,
borderColor: color,
backgroundColor: color,
borderWidth: 2,
pointRadius: hasOnlyOnePoint ? 2 : 0,
pointHoverRadius: 8,
pointHoverBorderWidth: 2,
pointHoverBackgroundColor: color,
pointHoverBorderColor: 'white',
tension: 0.3,
spanGaps: true,
};
},
);
// Create weighted average dataset (only if more than 1 evaluation method)
const shouldShowWeightedAverage = allMethods.size > 1;
const datasets: Array<{
label: string;
data: (number | null)[];
[key: string]: unknown;
}> = [];
if (shouldShowWeightedAverage) {
const avgData = buckets.map((b) => {
const score = scoreMap.get(b.time.getTime().toString());
return score !== undefined ? score : null;
});
const hasOnlyOneAvgPoint = avgData.filter((d) => d !== null).length === 1;
datasets.push({
label: 'Weighted Average',
data: avgData,
borderColor: 'rgb(115, 115, 115)', // gray for overall average
backgroundColor: 'rgb(115, 115, 115)',
borderWidth: 3, // Thicker line to stand out
pointRadius: hasOnlyOneAvgPoint ? 3 : 0,
pointHoverRadius: 8,
pointHoverBorderWidth: 2,
pointHoverBackgroundColor: 'rgb(115, 115, 115)',
pointHoverBorderColor: 'white',
tension: 0.3,
spanGaps: true,
});
}
// Add method datasets
datasets.push(...methodDatasets);
// Create event markers dataset for all buckets (invisible, for tooltips only)
const eventData = buckets.map((bucket) => {
const bucketTime = bucket.time.getTime();
const nextBucketTime = bucketTime + intervalMinutes * 60 * 1000;
// Find event in this time bucket
const event = events.find((e) => {
const eventTime = new Date(e.created_at).getTime();
return eventTime >= bucketTime && eventTime < nextBucketTime;
});
return event ? 50 : null; // Middle of chart (0-100 scale)
});
// Add events dataset
datasets.push({
label: 'Events',
data: eventData,
borderColor: 'rgba(0, 0, 0, 0)',
backgroundColor: 'rgba(0, 0, 0, 0)',
borderWidth: 0,
pointRadius: 6, // Invisible point for hover area
pointHoverRadius: 6,
pointHoverBorderWidth: 0,
tension: 0,
spanGaps: false,
});
return {
labels,
datasets,
buckets, // Include for event annotation calculation
};
}, [evaluationScores, events, intervalMinutes, windowHours, endTime, size]);
// Create event annotations
const eventAnnotations = useMemo(() => {
if (events.length === 0 || !chartData.buckets) return {};
const annotations: Record<string, unknown> = {};
// Show all events (both skill-wide and cluster-specific)
for (const event of events) {
const eventTime = new Date(event.created_at).getTime();
// Find which time bucket this event falls into
const xIndex = chartData.buckets.findIndex((bucket) => {
const bucketTime = bucket.time.getTime();
const nextBucketTime = bucketTime + intervalMinutes * 60 * 1000;
return eventTime >= bucketTime && eventTime < nextBucketTime;
});
if (xIndex !== -1) {
const color =
eventColors[event.event_type as keyof typeof eventColors] ||
'rgba(148, 163, 184, 0.6)';
const label =
eventLabels[event.event_type as keyof typeof eventLabels] ||
event.event_type;
annotations[`event-${event.id}`] = {
type: 'line',
xMin: xIndex,
xMax: xIndex,
borderColor: color,
borderWidth: 2,
borderDash: [5, 5],
label: {
display: size === 'large',
content: label,
position: 'start',
rotation: 270,
backgroundColor: color, // Use event color for label background
color: 'white',
font: {
size: 9,
weight: 'bold',
},
padding: 4,
},
};
}
}
return annotations;
}, [events, chartData, intervalMinutes, size]);
// Combine event annotations with hover line
const allAnnotations = useMemo(() => {
const combined = { ...eventAnnotations };
// Add vertical hover line (only for large charts)
if (hoveredIndex !== null && size === 'large') {
combined.hoverLine = {
type: 'line',
xMin: hoveredIndex,
xMax: hoveredIndex,
borderColor: 'rgba(0, 0, 0, 0.3)',
borderWidth: 2,
borderDash: [5, 5],
};
}
return combined;
}, [eventAnnotations, hoveredIndex, size]);
const options: ChartOptions<'line'> = {
responsive: true,
maintainAspectRatio: false,
animation: {
duration: 150, // Faster animation (default is 1000ms)
},
events: size === 'large' ? undefined : [], // Disable all events for small charts
interaction: {
mode: size === 'large' ? 'index' : undefined,
intersect: false,
},
onHover:
size === 'large'
? (_event, activeElements) => {
if (activeElements.length > 0) {
setHoveredIndex(activeElements[0].index);
} else {
setHoveredIndex(null);
}
}
: undefined,
plugins: {
annotation: {
// biome-ignore lint/suspicious/noExplicitAny: chartjs-plugin-annotation has complex types
annotations: allAnnotations as any,
},
legend: {
display: true,
position: 'bottom',
onClick: size === 'large' ? undefined : () => false, // Disable legend click for small charts
labels: {
boxWidth: size === 'large' ? 12 : 8,
boxHeight: size === 'large' ? 12 : 8,
padding: size === 'large' ? 12 : 8,
font: {
size: size === 'large' ? 11 : 9,
},
color: 'rgb(115, 115, 115)',
filter: (item) => item.text !== 'Events', // Hide Events from legend
},
},
tooltip: {
enabled: size === 'large',
mode: 'index',
intersect: false,
displayColors: true,
callbacks: {
label: (context) => {
const label = context.dataset.label || '';
// If this is the Events dataset, show event details
if (label === 'Events') {
const xIndex = context.dataIndex;
const bucket = chartData.buckets?.[xIndex];
if (!bucket) return 'Event';
const bucketTime = bucket.time.getTime();
const nextBucketTime = bucketTime + intervalMinutes * 60 * 1000;
const eventsAtTime = events.filter((event) => {
const eventTime = new Date(event.created_at).getTime();
return eventTime >= bucketTime && eventTime < nextBucketTime;
});
if (eventsAtTime.length === 0) return 'Event';
const lines: string[] = [];
for (const event of eventsAtTime) {
const eventLabel =
eventLabels[event.event_type as keyof typeof eventLabels] ||
event.event_type;
const eventTime = new Date(event.created_at);
const timeString = format(eventTime, 'MMM d, h:mm a');
lines.push(timeString);
lines.push(eventLabel);
// Add cluster name if this is a cluster-specific event
if (event.cluster_id) {
const clusterName = clusterNameMap.get(event.cluster_id);
if (clusterName) {
lines.push(`Partition: ${clusterName}`);
}
}
if (event.metadata.model_name) {
lines.push(String(event.metadata.model_name));
}
}
return lines;
}
// For performance datasets, show the score
const value = context.parsed.y;
return `${label}: ${value!.toFixed(3)}`;
},
},
},
title: {
display: size === 'large',
text: 'Skill Performance Over Time',
font: {
size: size === 'large' ? 12 : 11,
},
color: 'rgb(115, 115, 115)',
padding: {
top: 10,
bottom: 20,
},
},
},
scales: {
x: {
display: true,
grid: {
display: false,
},
ticks: {
font: {
size: size === 'large' ? 10 : 9,
},
color: 'rgb(115, 115, 115)',
maxRotation: 45,
minRotation: 45,
autoSkip: true,
maxTicksLimit: size === 'large' ? 10 : 5,
},
},
y: {
display: true,
grid: {
color: 'rgba(115, 115, 115, 0.1)',
},
ticks: {
font: {
size: size === 'large' ? 10 : 9,
},
color: 'rgb(115, 115, 115)',
maxTicksLimit: size === 'large' ? 6 : 4,
callback: (value) => {
return Number(value).toFixed(2);
},
},
min: 0,
max: 100,
},
},
};
return (
<div className="w-full space-y-2">
{/* Chart */}
<div className={`w-full ${size === 'large' ? 'h-64' : 'h-40'}`}>
<Line data={chartData} options={options} />
</div>
</div>
);
}
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