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import Box from '@mui/material/Box';
import Button from '@mui/material/Button';
import Slider from '@mui/material/Slider';
import Select from '@mui/material/Select';
import MenuItem from '@mui/material/MenuItem';
import Switch from '@mui/material/Switch';
import TextField from '@mui/material/TextField';
import Typography from '@mui/material/Typography';
import Alert from '@mui/material/Alert';
import CircularProgress from '@mui/material/CircularProgress';
import { Save, Play } from 'lucide-react';
import type { AnomalyConfig, EnsembleStrategy } from '../../types/labeleval';
import { getAnomalyConfig, postAnomalyConfig, runPipeline } from '../../services/labeleval';
import { SectionCard } from './shared';
import AnomalyDetectionConfig from './AnomalyDetectionConfig';
const DEFAULT_CONFIG: AnomalyConfig = {
imbalance: { method: 'smote', minority_boost: 2 },
detectors: {
knn: { enabled: true, k: 5 },
lof: { enabled: true, n_neighbors: 20 },
isolation_forest: { enabled: true, n_estimators: 100 },
ocsvm: { enabled: false, nu: 0.05 },
dbscan: { enabled: false, eps: 0.5, min_samples: 5 },
},
deep: {
autoencoder: { enabled: true, latent_dim: 16, epochs: 20 },
vae: { enabled: false, latent_dim: 8 },
gan: { enabled: false },
reconstruction_threshold: 0.5,
},
advanced: {
few_shot: { enabled: false, support_per_class: 5 },
ensemble_strategy: 'weighted_average',
decision_threshold: 0.6,
},
};
function Column({ title, children }: { title: string; children: React.ReactNode }) {
return (
<Box
sx={{
flex: '1 1 220px',
minWidth: 220,
bgcolor: '#12171d',
border: '1px solid #232a31',
borderRadius: 1,
p: 1.5,
}}
>
<Typography
variant="caption"
sx={{ color: '#4fc3f7', fontWeight: 700, letterSpacing: 0.8, display: 'block', mb: 1 }}
>
{title}
</Typography>
{children}
</Box>
);
}
export default function RareEventConfig({
activeDatasetId,
onRunStarted,
}: {
activeDatasetId: string | null;
onRunStarted?: (runId: string) => void;
}) {
const [config, setConfig] = useState<AnomalyConfig>(DEFAULT_CONFIG);
const [loading, setLoading] = useState(true);
const [busy, setBusy] = useState<'save' | 'run' | null>(null);
const [notice, setNotice] = useState<{ severity: 'success' | 'error' | 'warning'; text: string } | null>(null);
useEffect(() => {
let cancelled = false;
getAnomalyConfig()
.then((c) => {
if (!cancelled) setConfig(c);
})
.catch(() => {
/* backend offline — keep defaults, save will still POST */
})
.finally(() => {
if (!cancelled) setLoading(false);
});
return () => {
cancelled = true;
};
}, []);
const save = async () => {
setBusy('save');
setNotice(null);
try {
const saved = await postAnomalyConfig(config);
setConfig(saved);
setNotice({ severity: 'success', text: 'Configuration saved.' });
} catch (err) {
setNotice({ severity: 'error', text: err instanceof Error ? err.message : String(err) });
} finally {
setBusy(null);
}
};
const rerun = async () => {
if (!activeDatasetId) {
setNotice({ severity: 'warning', text: 'Select or generate a dataset first (Datasets page).' });
return;
}
setBusy('run');
setNotice(null);
try {
const res = await runPipeline(activeDatasetId);
setNotice({ severity: 'success', text: `Evaluation run ${res.run_id} started (${res.status}).` });
onRunStarted?.(res.run_id);
} catch (err) {
setNotice({ severity: 'error', text: err instanceof Error ? err.message : String(err) });
} finally {
setBusy(null);
}
};
return (
<SectionCard
title="Rare Event Detection Configuration"
help="The anomaly ensemble, configured in four stages: (1) class-imbalance handling before detection, (2) classical detectors (KNN, LOF, Isolation Forest, OC-SVM, DBSCAN), (3) deep reconstruction detectors (autoencoder/VAE/GAN), (4) fusion — how individual scores combine into one anomaly score and the decision threshold. Save persists the config; Re-run applies it to the active dataset."
action={
<Box sx={{ display: 'flex', gap: 1 }}>
<Button
size="small"
variant="outlined"
startIcon={busy === 'save' ? <CircularProgress size={14} /> : <Save size={14} />}
disabled={busy !== null || loading}
onClick={() => void save()}
>
Save
</Button>
<Button
size="small"
variant="contained"
startIcon={busy === 'run' ? <CircularProgress size={14} /> : <Play size={14} />}
disabled={busy !== null}
onClick={() => void rerun()}
>
Re-run evaluation
</Button>
</Box>
}
>
{notice ? (
<Alert severity={notice.severity} variant="outlined" onClose={() => setNotice(null)} sx={{ mb: 1 }}>
{notice.text}
</Alert>
) : null}
<Box sx={{ display: 'flex', gap: 1.5, flexWrap: 'wrap' }}>
{/* Column 1: imbalanced data */}
<Column title="IMBALANCED DATA">
<Typography variant="caption" sx={{ color: '#8a949e' }}>
Method
</Typography>
<Select
size="small"
fullWidth
value={config.imbalance.method}
onChange={(e) =>
setConfig({
...config,
imbalance: { ...config.imbalance, method: e.target.value as AnomalyConfig['imbalance']['method'] },
})
}
sx={{ mb: 2, fontSize: 13 }}
>
<MenuItem value="none">None</MenuItem>
<MenuItem value="smote">SMOTE</MenuItem>
<MenuItem value="oversample">Oversample</MenuItem>
<MenuItem value="undersample">Undersample</MenuItem>
<MenuItem value="class_weights">Class weights</MenuItem>
</Select>
<Typography variant="caption" sx={{ color: '#8a949e' }}>
Minority boost ×{config.imbalance.minority_boost.toFixed(1)}
</Typography>
<Slider
size="small"
min={1}
max={10}
step={0.5}
value={config.imbalance.minority_boost}
onChange={(_, v) =>
setConfig({ ...config, imbalance: { ...config.imbalance, minority_boost: v as number } })
}
/>
</Column>
{/* Column 2: classical anomaly detectors */}
<Column title="ANOMALY DETECTION">
<AnomalyDetectionConfig
detectors={config.detectors}
onChange={(detectors) => setConfig({ ...config, detectors })}
/>
</Column>
{/* Column 3: deep learning */}
<Column title="DEEP LEARNING">
<Box sx={{ display: 'flex', alignItems: 'center', justifyContent: 'space-between' }}>
<Typography variant="body2" sx={{ fontWeight: 600 }}>
Autoencoder
</Typography>
<Switch
size="small"
checked={config.deep.autoencoder.enabled}
onChange={(e) =>
setConfig({
...config,
deep: { ...config.deep, autoencoder: { ...config.deep.autoencoder, enabled: e.target.checked } },
})
}
/>
</Box>
{config.deep.autoencoder.enabled ? (
<Box sx={{ display: 'flex', gap: 1, mb: 1 }}>
<TextField
size="small"
type="number"
label="latent"
value={config.deep.autoencoder.latent_dim}
onChange={(e) =>
setConfig({
...config,
deep: {
...config.deep,
autoencoder: { ...config.deep.autoencoder, latent_dim: Number(e.target.value) },
},
})
}
sx={{ flex: 1 }}
/>
<TextField
size="small"
type="number"
label="epochs"
value={config.deep.autoencoder.epochs}
onChange={(e) =>
setConfig({
...config,
deep: {
...config.deep,
autoencoder: { ...config.deep.autoencoder, epochs: Number(e.target.value) },
},
})
}
sx={{ flex: 1 }}
/>
</Box>
) : null}
<Box sx={{ display: 'flex', alignItems: 'center', justifyContent: 'space-between' }}>
<Typography variant="body2" sx={{ fontWeight: 600 }}>
VAE
</Typography>
<Switch
size="small"
checked={config.deep.vae.enabled}
onChange={(e) =>
setConfig({
...config,
deep: { ...config.deep, vae: { ...config.deep.vae, enabled: e.target.checked } },
})
}
/>
</Box>
{config.deep.vae.enabled ? (
<TextField
size="small"
type="number"
label="latent"
value={config.deep.vae.latent_dim}
onChange={(e) =>
setConfig({
...config,
deep: { ...config.deep, vae: { ...config.deep.vae, latent_dim: Number(e.target.value) } },
})
}
sx={{ mb: 1, width: '100%' }}
/>
) : null}
<Box sx={{ display: 'flex', alignItems: 'center', justifyContent: 'space-between' }}>
<Typography variant="body2" sx={{ fontWeight: 600 }}>
GAN
</Typography>
<Switch
size="small"
checked={config.deep.gan.enabled}
onChange={(e) =>
setConfig({ ...config, deep: { ...config.deep, gan: { enabled: e.target.checked } } })
}
/>
</Box>
<Typography variant="caption" sx={{ color: '#8a949e' }}>
Reconstruction threshold {config.deep.reconstruction_threshold.toFixed(2)}
</Typography>
<Slider
size="small"
min={0}
max={1}
step={0.01}
value={config.deep.reconstruction_threshold}
onChange={(_, v) =>
setConfig({ ...config, deep: { ...config.deep, reconstruction_threshold: v as number } })
}
/>
</Column>
{/* Column 4: advanced / ensemble */}
<Column title="ADVANCED / ENSEMBLE">
<Box sx={{ display: 'flex', alignItems: 'center', justifyContent: 'space-between' }}>
<Typography variant="body2" sx={{ fontWeight: 600 }}>
Few-shot
</Typography>
<Switch
size="small"
checked={config.advanced.few_shot.enabled}
onChange={(e) =>
setConfig({
...config,
advanced: {
...config.advanced,
few_shot: { ...config.advanced.few_shot, enabled: e.target.checked },
},
})
}
/>
</Box>
{config.advanced.few_shot.enabled ? (
<TextField
size="small"
type="number"
label="support / class"
value={config.advanced.few_shot.support_per_class}
onChange={(e) =>
setConfig({
...config,
advanced: {
...config.advanced,
few_shot: { ...config.advanced.few_shot, support_per_class: Number(e.target.value) },
},
})
}
sx={{ mb: 1, width: '100%' }}
/>
) : null}
<Typography variant="caption" sx={{ color: '#8a949e' }}>
Ensemble strategy
</Typography>
<Select
size="small"
fullWidth
value={config.advanced.ensemble_strategy}
onChange={(e) =>
setConfig({
...config,
advanced: { ...config.advanced, ensemble_strategy: e.target.value as EnsembleStrategy },
})
}
sx={{ mb: 2, fontSize: 13 }}
>
<MenuItem value="majority_vote">Majority vote</MenuItem>
<MenuItem value="weighted_average">Weighted average</MenuItem>
<MenuItem value="meta_classifier">Meta classifier</MenuItem>
</Select>
<Typography variant="caption" sx={{ color: '#8a949e' }}>
Decision threshold {config.advanced.decision_threshold.toFixed(2)}
</Typography>
<Slider
size="small"
min={0}
max={1}
step={0.01}
value={config.advanced.decision_threshold}
onChange={(_, v) =>
setConfig({ ...config, advanced: { ...config.advanced, decision_threshold: v as number } })
}
/>
</Column>
</Box>
</SectionCard>
);
}
|