- DataLensAI
+ AI Data Lens
Conversational analytics
diff --git a/src/components/UploadZone.tsx b/src/components/UploadZone.tsx
index 6af848a..49d21e5 100644
--- a/src/components/UploadZone.tsx
+++ b/src/components/UploadZone.tsx
@@ -15,6 +15,11 @@ export function UploadZone() {
const handleFile = useCallback(
async (file: File) => {
+ const ext = file.name.split('.').pop()?.toLowerCase();
+ if (!ext || !['csv', 'json', 'xlsx'].includes(ext)) {
+ setError(`Unsupported file type: .${ext || ''}. Only .csv, .json, and .xlsx files are allowed.`);
+ return;
+ }
setIsLoading(true);
setError(null);
try {
@@ -71,7 +76,7 @@ export function UploadZone() {
e.target.files?.[0] && handleFile(e.target.files[0])
diff --git a/src/lib/data-parser.ts b/src/lib/data-parser.ts
index 4c198fb..272b0a7 100644
--- a/src/lib/data-parser.ts
+++ b/src/lib/data-parser.ts
@@ -6,11 +6,13 @@ export async function parseFile(
file: File
): Promise<{ data: Record[]; profile: DataProfile }> {
const ext = file.name.split('.').pop()?.toLowerCase();
- let data: Record[] = []; // eslint-disable-line no-useless-assignment
+ if (!ext || !['csv', 'json', 'xlsx'].includes(ext)) {
+ throw new Error(`Unsupported file type: .${ext || ''}. Only .csv, .json, and .xlsx files are allowed.`);
+ }
+ let data: Record[] = [];
if (ext === 'csv') data = await parseCSV(file);
else if (ext === 'json') data = await parseJSON(file);
- else if (ext === 'xlsx' || ext === 'xls') data = await parseExcel(file);
- else throw new Error(`Unsupported format: ${ext}`);
+ else if (ext === 'xlsx') data = await parseExcel(file);
const profile = createProfile(data, file.name, file.size);
return { data, profile };
}
diff --git a/src/lib/env-validation.ts b/src/lib/env-validation.ts
new file mode 100644
index 0000000..e4a4990
--- /dev/null
+++ b/src/lib/env-validation.ts
@@ -0,0 +1,30 @@
+if (typeof window === 'undefined') {
+ const required = ['GCP_PROJECT_ID', 'GCP_LOCATION', 'GCP_JSON_BASE64'];
+ const missing: string[] = [];
+
+ for (const name of required) {
+ const val = process.env[name];
+ if (!val) {
+ missing.push(name);
+ } else if (name === 'GCP_JSON_BASE64') {
+ try {
+ const decoded = Buffer.from(val, 'base64').toString('utf-8');
+ const parsed = JSON.parse(decoded);
+ if (!parsed.client_email || !parsed.private_key) {
+ missing.push('GCP_JSON_BASE64 (missing client_email or private_key)');
+ }
+ } catch {
+ console.error(
+ '[env-validation] GCP_JSON_BASE64 is set but contains invalid or malformed base64/JSON'
+ );
+ missing.push('GCP_JSON_BASE64 (invalid/malformed format)');
+ }
+ }
+ }
+
+ if (missing.length > 0) {
+ console.error(
+ `[AI Data Lens] Environment variable validation failed. Missing or invalid variables: ${missing.join(', ')}`
+ );
+ }
+}
diff --git a/src/lib/hooks/useAnalyze.ts b/src/lib/hooks/useAnalyze.ts
index 779c374..d8bb518 100644
--- a/src/lib/hooks/useAnalyze.ts
+++ b/src/lib/hooks/useAnalyze.ts
@@ -33,11 +33,21 @@ export function useAnalyze() {
}),
});
if (!res.ok) {
+ const errorText = await res.text();
+ let errorMessage = 'unable to interpret dataset';
+ try {
+ const errorObj = JSON.parse(errorText);
+ if (errorObj.error) {
+ errorMessage = errorObj.error.replace(/^Analysis failed:\s*/i, '');
+ }
+ } catch {
+ // ignore parsing error, fallback to default error message
+ }
finishStreaming(
id,
errorResult(
- 'Analysis service unavailable.',
- 'Check API configuration.'
+ `Analysis failed: ${errorMessage}`,
+ 'Please try again with a different question or verify the dataset structure.'
)
);
return;
@@ -54,10 +64,11 @@ export function useAnalyze() {
)
);
}
- } catch {
+ } catch (err) {
+ const msg = err instanceof Error ? err.message : String(err);
finishStreaming(
id,
- errorResult('Network error.', 'Check your connection and try again.')
+ errorResult('Network error.', `Details: ${msg}. Check your connection and try again.`)
);
}
};
diff --git a/src/lib/vertex/intents/intro.ts b/src/lib/vertex/intents/intro.ts
index 0adad4e..e2f25b9 100644
--- a/src/lib/vertex/intents/intro.ts
+++ b/src/lib/vertex/intents/intro.ts
@@ -12,7 +12,7 @@ export const introIntent: IntentHandler = {
handle() {
const result: IntentResult = {
chartType: 'bar',
- title: 'DataLensAI - at a glance',
+ title: 'AI Data Lens - at a glance',
data: [
{ name: 'CSV / JSON / Excel parsing', value: 100 },
{ name: 'Natural-language Q&A', value: 95 },
@@ -20,7 +20,7 @@ export const introIntent: IntentHandler = {
{ name: 'Limitations surfaced', value: 100 },
],
findings:
- "I'm DataLensAI - your autonomous data analysis partner. Upload any data file and ask questions in plain English. I surface the right visualization, synthesize findings, and flag limitations honestly. No SQL, no Python - just answers.\n\n**Try asking me**:\n• Show me the top performers\n• Plot a trend over time\n• Break down by category",
+ "I'm AI Data Lens - your autonomous data analysis partner. Upload any data file and ask questions in plain English. I surface the right visualization, synthesize findings, and flag limitations honestly. No SQL, no Python - just answers.\n\n**Try asking me**:\n• Show me the top performers\n• Plot a trend over time\n• Break down by category",
};
return result;
},
diff --git a/src/lib/vertex/prompt.ts b/src/lib/vertex/prompt.ts
index a4082ac..3c417b2 100644
--- a/src/lib/vertex/prompt.ts
+++ b/src/lib/vertex/prompt.ts
@@ -12,7 +12,7 @@ export function buildSystemPrompt(
p?.columns?.map((c) => `${c.name} (${c.type})`).join(', ') || 'unknown';
const sample = dataSample.slice(0, 3);
- return `You are DataLensAI, a rigorous data analyst. Always respond with valid JSON only (no markdown, no prose outside the JSON).
+ return `You are AI Data Lens, a rigorous data analyst. Always respond with valid JSON only (no markdown, no prose outside the JSON).
Schema (${p?.rowCount || '?'} rows): ${schema}