174 lines
7.3 KiB
TypeScript
174 lines
7.3 KiB
TypeScript
import type { ContentAnalysisResponse } from "../types/ApiTypes"
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import StatsStyling from "../styles/stats_styling";
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const styles = StatsStyling;
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type EmotionalStatsProps = {
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contentData: ContentAnalysisResponse;
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}
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const EmotionalStats = ({contentData}: EmotionalStatsProps) => {
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const rows = contentData.average_emotion_by_topic ?? [];
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const overallEmotionAverage = contentData.overall_emotion_average ?? [];
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const dominantEmotionDistribution = contentData.dominant_emotion_distribution ?? [];
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const emotionBySource = contentData.emotion_by_source ?? [];
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const lowSampleThreshold = 20;
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const stableSampleThreshold = 50;
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const emotionKeys = rows.length
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? Object.keys(rows[0]).filter((key) => key.startsWith("emotion_"))
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: [];
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const strongestPerTopic = rows.map((row) => {
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let maxKey = "";
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let maxValue = Number.NEGATIVE_INFINITY;
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emotionKeys.forEach((key) => {
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const value = Number(row[key] ?? 0);
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if (value > maxValue) {
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maxValue = value;
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maxKey = key;
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}
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});
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return {
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topic: String(row.topic),
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count: Number(row.n ?? 0),
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emotion: maxKey.replace("emotion_", "") || "unknown",
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value: maxValue > Number.NEGATIVE_INFINITY ? maxValue : 0
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};
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});
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const formatEmotion = (value: string) => {
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if (!value) return "Unknown";
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return value.charAt(0).toUpperCase() + value.slice(1);
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};
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const sampleSizes = strongestPerTopic
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.map((topic) => topic.count)
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.filter((count) => Number.isFinite(count) && count > 0)
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.sort((a, b) => a - b);
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const lowSampleTopics = strongestPerTopic.filter((topic) => topic.count < lowSampleThreshold).length;
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const stableSampleTopics = strongestPerTopic.filter((topic) => topic.count >= stableSampleThreshold).length;
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const medianSampleSize = sampleSizes.length
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? sampleSizes[Math.floor(sampleSizes.length / 2)]
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: 0;
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if (!rows.length) {
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return (
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<div style={{ ...styles.container, ...styles.card, marginTop: 16 }}>
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<h2 style={styles.sectionTitle}>Emotion by Topic</h2>
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<p style={styles.sectionSubtitle}>No topic emotion data available.</p>
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</div>
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);
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}
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return (
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<div style={styles.page}>
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<div style={{ ...styles.container, ...styles.card, marginTop: 16 }}>
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<h2 style={styles.sectionTitle}>Topic Mood Overview</h2>
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<p style={styles.sectionSubtitle}>Use the strength score together with post count. Topics with fewer than {lowSampleThreshold} events are often noisy.</p>
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<div style={styles.emotionalSummaryRow}>
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<span><strong style={{ color: "#24292f" }}>Topics:</strong> {strongestPerTopic.length}</span>
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<span><strong style={{ color: "#24292f" }}>Median Posts:</strong> {medianSampleSize}</span>
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<span><strong style={{ color: "#24292f" }}>Small Topics (<{lowSampleThreshold}):</strong> {lowSampleTopics}</span>
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<span><strong style={{ color: "#24292f" }}>Stable Topics ({stableSampleThreshold}+):</strong> {stableSampleTopics}</span>
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</div>
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<p style={{ ...styles.sectionSubtitle, marginTop: 10, marginBottom: 0 }}>
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Strength means how far the top emotion is ahead in that topic. It does not mean model accuracy.
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</p>
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</div>
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<div style={{ ...styles.container, ...styles.grid }}>
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<div style={{ ...styles.card, gridColumn: "span 4" }}>
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<h2 style={styles.sectionTitle}>Mood Averages</h2>
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<p style={styles.sectionSubtitle}>Average score for each emotion.</p>
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{!overallEmotionAverage.length ? (
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<div style={styles.topUserMeta}>No overall emotion averages available.</div>
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) : (
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<div style={{ ...styles.topUsersList, maxHeight: 260, overflowY: "auto" }}>
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{[...overallEmotionAverage]
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.sort((a, b) => b.score - a.score)
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.map((row) => (
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<div key={row.emotion} style={styles.topUserItem}>
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<div style={styles.topUserName}>{formatEmotion(row.emotion)}</div>
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<div style={styles.topUserMeta}>{row.score.toFixed(3)}</div>
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</div>
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))}
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</div>
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)}
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</div>
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<div style={{ ...styles.card, gridColumn: "span 4" }}>
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<h2 style={styles.sectionTitle}>Mood Split</h2>
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<p style={styles.sectionSubtitle}>How often each emotion is dominant.</p>
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{!dominantEmotionDistribution.length ? (
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<div style={styles.topUserMeta}>No dominant-emotion split available.</div>
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) : (
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<div style={{ ...styles.topUsersList, maxHeight: 260, overflowY: "auto" }}>
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{[...dominantEmotionDistribution]
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.sort((a, b) => b.ratio - a.ratio)
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.map((row) => (
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<div key={row.emotion} style={styles.topUserItem}>
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<div style={styles.topUserName}>{formatEmotion(row.emotion)}</div>
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<div style={styles.topUserMeta}>{(row.ratio * 100).toFixed(1)}% • {row.count.toLocaleString()} events</div>
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</div>
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))}
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</div>
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)}
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</div>
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<div style={{ ...styles.card, gridColumn: "span 4" }}>
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<h2 style={styles.sectionTitle}>Mood by Source</h2>
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<p style={styles.sectionSubtitle}>Leading emotion in each source.</p>
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{!emotionBySource.length ? (
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<div style={styles.topUserMeta}>No source emotion profile available.</div>
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) : (
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<div style={{ ...styles.topUsersList, maxHeight: 260, overflowY: "auto" }}>
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{[...emotionBySource]
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.sort((a, b) => b.event_count - a.event_count)
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.map((row) => (
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<div key={row.source} style={styles.topUserItem}>
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<div style={styles.topUserName}>{row.source}</div>
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<div style={styles.topUserMeta}>
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{formatEmotion(row.dominant_emotion)} • {row.dominant_score.toFixed(3)} • {row.event_count.toLocaleString()} events
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</div>
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</div>
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))}
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</div>
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)}
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</div>
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<div style={{ ...styles.card, gridColumn: "span 12" }}>
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<h2 style={styles.sectionTitle}>Topic Snapshots</h2>
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<p style={styles.sectionSubtitle}>Per-topic mood with strength and post count.</p>
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<div style={{ ...styles.grid, marginTop: 10 }}>
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{strongestPerTopic.map((topic) => (
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<div key={topic.topic} style={{ ...styles.cardBase, gridColumn: "span 4" }}>
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<h3 style={{ ...styles.sectionTitle, marginBottom: 6 }}>{topic.topic}</h3>
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<div style={styles.emotionalTopicLabel}>
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Likely Mood
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</div>
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<div style={styles.emotionalTopicValue}>
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{formatEmotion(topic.emotion)}
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</div>
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<div style={styles.emotionalMetricRow}>
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<span>Strength</span>
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<span style={styles.emotionalMetricValue}>{topic.value.toFixed(3)}</span>
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</div>
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<div style={styles.emotionalMetricRowCompact}>
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<span>Posts in Topic</span>
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<span style={styles.emotionalMetricValue}>{topic.count}</span>
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</div>
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</div>
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))}
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</div>
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</div>
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</div>
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</div>
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);
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}
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export default EmotionalStats;
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