File size: 9,933 Bytes
86f402d 58a4476 86f402d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 | import ReactMarkdown from 'react-markdown';
import './MessageContent.css';
// Serve any temp visualization image (GradCAM, comparison) through the API
const TEMP_IMG_URL = (path: string) =>
`/api/patients/gradcam?path=${encodeURIComponent(path)}`;
// ─── Types ─────────────────────────────────────────────────────────────────
type Segment =
| { type: 'stage'; label: string }
| { type: 'thinking'; content: string }
| { type: 'response'; content: string }
| { type: 'tool_output'; label: string; content: string }
| { type: 'gradcam'; path: string }
| { type: 'comparison'; path: string }
| { type: 'gradcam_compare'; path1: string; path2: string }
| { type: 'result'; content: string }
| { type: 'error'; content: string }
| { type: 'complete'; content: string }
| { type: 'references'; content: string }
| { type: 'observation'; content: string }
| { type: 'text'; content: string };
// ─── Parser ────────────────────────────────────────────────────────────────
// Splits raw text by all known complete tag patterns (capturing group preserves them)
const TAG_SPLIT_RE = new RegExp(
'(' +
[
'\\[STAGE:[^\\]]*\\][\\s\\S]*?\\[\\/STAGE\\]',
'\\[THINKING\\][\\s\\S]*?\\[\\/THINKING\\]',
'\\[RESPONSE\\][\\s\\S]*?\\[\\/RESPONSE\\]',
'\\[TOOL_OUTPUT:[^\\]]*\\][\\s\\S]*?\\[\\/TOOL_OUTPUT\\]',
'\\[GRADCAM_IMAGE:[^\\]]+\\]',
'\\[COMPARISON_IMAGE:[^\\]]+\\]',
'\\[GRADCAM_COMPARE:[^:\\]]+:[^\\]]+\\]',
'\\[RESULT\\][\\s\\S]*?\\[\\/RESULT\\]',
'\\[ERROR\\][\\s\\S]*?\\[\\/ERROR\\]',
'\\[COMPLETE\\][\\s\\S]*?\\[\\/COMPLETE\\]',
'\\[REFERENCES\\][\\s\\S]*?\\[\\/REFERENCES\\]',
'\\[OBSERVATION\\][\\s\\S]*?\\[\\/OBSERVATION\\]',
'\\[CONFIRM:[^\\]]*\\][\\s\\S]*?\\[\\/CONFIRM\\]',
].join('|') +
')',
'g',
);
// Strips known opening tags that haven't yet been closed (mid-stream partial content)
function cleanStreamingText(text: string): string {
return text.replace(
/\[(STAGE:[^\]]*|THINKING|RESPONSE|TOOL_OUTPUT:[^\]]*|RESULT|ERROR|COMPLETE|REFERENCES|OBSERVATION|CONFIRM:[^\]]*)\]/g,
'',
);
}
function parseContent(raw: string): Segment[] {
const segments: Segment[] = [];
for (const part of raw.split(TAG_SPLIT_RE)) {
if (!part) continue;
let m: RegExpMatchArray | null;
if ((m = part.match(/^\[STAGE:([^\]]*)\]([\s\S]*)\[\/STAGE\]$/))) {
const label = m[2].trim();
if (label) segments.push({ type: 'stage', label });
} else if ((m = part.match(/^\[THINKING\]([\s\S]*)\[\/THINKING\]$/))) {
const c = m[1].trim();
if (c) segments.push({ type: 'thinking', content: c });
} else if ((m = part.match(/^\[RESPONSE\]([\s\S]*)\[\/RESPONSE\]$/))) {
const c = m[1].trim();
if (c) segments.push({ type: 'response', content: c });
} else if ((m = part.match(/^\[TOOL_OUTPUT:([^\]]*)\]([\s\S]*)\[\/TOOL_OUTPUT\]$/))) {
segments.push({ type: 'tool_output', label: m[1], content: m[2] });
} else if ((m = part.match(/^\[GRADCAM_IMAGE:([^\]]+)\]$/))) {
segments.push({ type: 'gradcam', path: m[1] });
} else if ((m = part.match(/^\[COMPARISON_IMAGE:([^\]]+)\]$/))) {
segments.push({ type: 'comparison', path: m[1] });
} else if ((m = part.match(/^\[GRADCAM_COMPARE:([^:\]]+):([^\]]+)\]$/))) {
segments.push({ type: 'gradcam_compare', path1: m[1], path2: m[2] });
} else if ((m = part.match(/^\[RESULT\]([\s\S]*)\[\/RESULT\]$/))) {
const c = m[1].trim();
if (c) segments.push({ type: 'result', content: c });
} else if ((m = part.match(/^\[ERROR\]([\s\S]*)\[\/ERROR\]$/))) {
const c = m[1].trim();
if (c) segments.push({ type: 'error', content: c });
} else if ((m = part.match(/^\[COMPLETE\]([\s\S]*)\[\/COMPLETE\]$/))) {
const c = m[1].trim();
if (c) segments.push({ type: 'complete', content: c });
} else if ((m = part.match(/^\[REFERENCES\]([\s\S]*)\[\/REFERENCES\]$/))) {
segments.push({ type: 'references', content: m[1].trim() });
} else if ((m = part.match(/^\[OBSERVATION\]([\s\S]*)\[\/OBSERVATION\]$/))) {
const c = m[1].trim();
if (c) segments.push({ type: 'observation', content: c });
} else if ((m = part.match(/^\[CONFIRM:[^\]]*\]([\s\S]*)\[\/CONFIRM\]$/))) {
const c = m[1].trim();
if (c) segments.push({ type: 'result', content: c });
} else {
// Plain text (may be mid-stream with incomplete opening tags)
const cleaned = cleanStreamingText(part);
if (cleaned.trim()) segments.push({ type: 'text', content: cleaned });
}
}
return segments;
}
// ─── References renderer ───────────────────────────────────────────────────
function References({ content }: { content: string }) {
const refs = content.match(/\[REF:[^\]]+\]/g) ?? [];
if (!refs.length) return null;
return (
<div className="mc-references">
<div className="mc-references-title">References</div>
{refs.map((ref, i) => {
// [REF:id:source:page:file:superscript]
const parts = ref.slice(1, -1).split(':');
const source = parts[2] ?? '';
const page = parts[3] ?? '';
const sup = parts[5] ?? `[${i + 1}]`;
return (
<div key={i} className="mc-ref-item">
<span className="mc-ref-sup">{sup}</span>
<span className="mc-ref-source">{source}</span>
{page && <span className="mc-ref-page">, p.{page}</span>}
</div>
);
})}
</div>
);
}
// ─── Main component ────────────────────────────────────────────────────────
export function MessageContent({ text }: { text: string }) {
const segments = parseContent(text);
return (
<div className="mc-root">
{segments.map((seg, i) => {
switch (seg.type) {
case 'stage':
return <div key={i} className="mc-stage">{seg.label}</div>;
case 'thinking': {
// Spinner only on the last thinking segment (earlier ones are done)
const isLast = !segments.slice(i + 1).some(s => s.type !== 'text' || s.content.trim());
return (
<div key={i} className="mc-thinking">
{isLast
? <span className="mc-thinking-spinner" />
: <span className="mc-thinking-done" />}
{seg.content}
</div>
);
}
case 'response':
return (
<div key={i} className="mc-response">
<ReactMarkdown>{seg.content}</ReactMarkdown>
</div>
);
case 'tool_output':
return (
<div key={i} className="mc-tool-output">
{seg.label && <div className="mc-tool-output-label">{seg.label}</div>}
<pre>{seg.content}</pre>
</div>
);
case 'gradcam':
return (
<div key={i} className="mc-image-block">
<div className="mc-image-label">Grad-CAM Attention Map</div>
<img
src={TEMP_IMG_URL(seg.path)}
className="mc-gradcam-img"
alt="Grad-CAM attention map"
/>
</div>
);
case 'comparison':
return (
<div key={i} className="mc-image-block">
<div className="mc-image-label">Lesion Comparison</div>
<img
src={TEMP_IMG_URL(seg.path)}
className="mc-comparison-img"
alt="Side-by-side lesion comparison"
/>
</div>
);
case 'gradcam_compare':
return (
<div key={i} className="mc-image-block">
<div className="mc-image-label">Grad-CAM Comparison</div>
<div className="mc-gradcam-compare">
<div className="mc-gradcam-compare-item">
<div className="mc-gradcam-compare-title">Previous</div>
<img
src={TEMP_IMG_URL(seg.path1)}
className="mc-gradcam-compare-img"
alt="Previous GradCAM"
/>
</div>
<div className="mc-gradcam-compare-item">
<div className="mc-gradcam-compare-title">Current</div>
<img
src={TEMP_IMG_URL(seg.path2)}
className="mc-gradcam-compare-img"
alt="Current GradCAM"
/>
</div>
</div>
</div>
);
case 'result':
return <div key={i} className="mc-result">{seg.content}</div>;
case 'error':
return <div key={i} className="mc-error">{seg.content}</div>;
case 'complete':
return <div key={i} className="mc-complete">{seg.content}</div>;
case 'references':
return <References key={i} content={seg.content} />;
case 'observation':
return <div key={i} className="mc-observation">{seg.content}</div>;
case 'text':
return seg.content.trim() ? (
<div key={i} className="mc-text">{seg.content}</div>
) : null;
default:
return null;
}
})}
</div>
);
}
|