chore: add Biome for formatting and linting (#116)

- Add Biome as formatter and linter (replaces Prettier)
- Configure Husky + lint-staged for pre-commit hooks
- Add VS Code settings for format on save
- Ignore components/ui/ (shadcn generated code)
- Remove semicolons, use 4-space indent
- Reformat all files to new style
This commit is contained in:
Dayuan Jiang
2025-12-06 12:46:40 +09:00
committed by GitHub
parent 215a101f54
commit 150eb1ff63
41 changed files with 3992 additions and 2401 deletions

View File

@@ -1,103 +1,112 @@
import { getLangfuseClient } from '@/lib/langfuse';
import { randomUUID } from 'crypto';
import { z } from 'zod';
import { randomUUID } from "crypto"
import { z } from "zod"
import { getLangfuseClient } from "@/lib/langfuse"
const feedbackSchema = z.object({
messageId: z.string().min(1).max(200),
feedback: z.enum(['good', 'bad']),
sessionId: z.string().min(1).max(200).optional(),
});
messageId: z.string().min(1).max(200),
feedback: z.enum(["good", "bad"]),
sessionId: z.string().min(1).max(200).optional(),
})
export async function POST(req: Request) {
const langfuse = getLangfuseClient();
if (!langfuse) {
return Response.json({ success: true, logged: false });
}
// Validate input
let data;
try {
data = feedbackSchema.parse(await req.json());
} catch {
return Response.json({ success: false, error: 'Invalid input' }, { status: 400 });
}
const { messageId, feedback, sessionId } = data;
// Get user IP for tracking
const forwardedFor = req.headers.get('x-forwarded-for');
const userId = forwardedFor?.split(',')[0]?.trim() || 'anonymous';
try {
// Find the most recent chat trace for this session to attach the score to
const tracesResponse = await langfuse.api.trace.list({
sessionId,
limit: 1,
});
const traces = tracesResponse.data || [];
const latestTrace = traces[0];
if (!latestTrace) {
// No trace found for this session - create a standalone feedback trace
const traceId = randomUUID();
const timestamp = new Date().toISOString();
await langfuse.api.ingestion.batch({
batch: [
{
type: 'trace-create',
id: randomUUID(),
timestamp,
body: {
id: traceId,
name: 'user-feedback',
sessionId,
userId,
input: { messageId, feedback },
metadata: { source: 'feedback-button', note: 'standalone - no chat trace found' },
timestamp,
},
},
{
type: 'score-create',
id: randomUUID(),
timestamp,
body: {
id: randomUUID(),
traceId,
name: 'user-feedback',
value: feedback === 'good' ? 1 : 0,
comment: `User gave ${feedback} feedback`,
},
},
],
});
} else {
// Attach score to the existing chat trace
const timestamp = new Date().toISOString();
await langfuse.api.ingestion.batch({
batch: [
{
type: 'score-create',
id: randomUUID(),
timestamp,
body: {
id: randomUUID(),
traceId: latestTrace.id,
name: 'user-feedback',
value: feedback === 'good' ? 1 : 0,
comment: `User gave ${feedback} feedback`,
},
},
],
});
const langfuse = getLangfuseClient()
if (!langfuse) {
return Response.json({ success: true, logged: false })
}
return Response.json({ success: true, logged: true });
} catch (error) {
console.error('Langfuse feedback error:', error);
return Response.json({ success: false, error: 'Failed to log feedback' }, { status: 500 });
}
// Validate input
let data
try {
data = feedbackSchema.parse(await req.json())
} catch {
return Response.json(
{ success: false, error: "Invalid input" },
{ status: 400 },
)
}
const { messageId, feedback, sessionId } = data
// Get user IP for tracking
const forwardedFor = req.headers.get("x-forwarded-for")
const userId = forwardedFor?.split(",")[0]?.trim() || "anonymous"
try {
// Find the most recent chat trace for this session to attach the score to
const tracesResponse = await langfuse.api.trace.list({
sessionId,
limit: 1,
})
const traces = tracesResponse.data || []
const latestTrace = traces[0]
if (!latestTrace) {
// No trace found for this session - create a standalone feedback trace
const traceId = randomUUID()
const timestamp = new Date().toISOString()
await langfuse.api.ingestion.batch({
batch: [
{
type: "trace-create",
id: randomUUID(),
timestamp,
body: {
id: traceId,
name: "user-feedback",
sessionId,
userId,
input: { messageId, feedback },
metadata: {
source: "feedback-button",
note: "standalone - no chat trace found",
},
timestamp,
},
},
{
type: "score-create",
id: randomUUID(),
timestamp,
body: {
id: randomUUID(),
traceId,
name: "user-feedback",
value: feedback === "good" ? 1 : 0,
comment: `User gave ${feedback} feedback`,
},
},
],
})
} else {
// Attach score to the existing chat trace
const timestamp = new Date().toISOString()
await langfuse.api.ingestion.batch({
batch: [
{
type: "score-create",
id: randomUUID(),
timestamp,
body: {
id: randomUUID(),
traceId: latestTrace.id,
name: "user-feedback",
value: feedback === "good" ? 1 : 0,
comment: `User gave ${feedback} feedback`,
},
},
],
})
}
return Response.json({ success: true, logged: true })
} catch (error) {
console.error("Langfuse feedback error:", error)
return Response.json(
{ success: false, error: "Failed to log feedback" },
{ status: 500 },
)
}
}