forked from 0xWheatyz/SPARC
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1 Commits
| Author | SHA1 | Date | |
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| 1bd9dccdb8 |
+56
-1
@@ -9,7 +9,7 @@ from typing import Annotated, List
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from fastapi import BackgroundTasks, Depends, FastAPI, HTTPException, Query, Request
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import JSONResponse
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from fastapi.responses import JSONResponse, StreamingResponse
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from pydantic import BaseModel, EmailStr, Field
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from slowapi import Limiter
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from slowapi.errors import RateLimitExceeded
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@@ -389,6 +389,61 @@ async def get_analytics(
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)
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# ============== Export Endpoints ==============
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@app.get("/export/{company_name}", tags=["Export"])
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async def export_company_csv(
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company_name: str,
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_: UserResponse = Depends(get_current_user),
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):
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"""Export analysis results for a company as a CSV file.
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Returns all stored analysis records for the given company, including
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analysis type, model used, response text, and timestamp.
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Args:
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company_name: Company name to export results for
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Returns:
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CSV file download
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"""
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import csv
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import io
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db = get_db_client()
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# Query all non-cached analysis results for this company
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with db.get_conn() as conn:
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with conn.cursor() as cur:
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cur.execute(
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"""
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SELECT company_name, analysis_type, model, response, timestamp
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FROM llm_messages
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WHERE LOWER(company_name) = LOWER(%s) AND is_cached = FALSE
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ORDER BY timestamp DESC
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""",
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(company_name,),
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)
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rows = cur.fetchall()
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if not rows:
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raise HTTPException(status_code=404, detail=f"No analysis results found for '{company_name}'")
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output = io.StringIO()
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writer = csv.writer(output)
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writer.writerow(["company_name", "analysis_type", "model", "analysis", "timestamp"])
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for row in rows:
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writer.writerow(row)
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output.seek(0)
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safe_name = company_name.replace(" ", "_").lower()
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return StreamingResponse(
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iter([output.getvalue()]),
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media_type="text/csv",
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headers={"Content-Disposition": f'attachment; filename="sparc_{safe_name}_export.csv"'},
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)
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# ============== System Endpoints ==============
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@@ -126,6 +126,23 @@ export const analysisApi = {
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},
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};
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// Export API
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export const exportApi = {
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exportCsv: async (companyName: string): Promise<void> => {
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const response = await api.get(`/export/${encodeURIComponent(companyName)}`, {
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responseType: 'blob',
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});
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const url = window.URL.createObjectURL(new Blob([response.data]));
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const link = document.createElement('a');
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link.href = url;
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link.setAttribute('download', `sparc_${companyName.toLowerCase().replace(/\s+/g, '_')}_export.csv`);
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document.body.appendChild(link);
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link.click();
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link.remove();
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window.URL.revokeObjectURL(url);
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},
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};
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// Analytics API
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export const analyticsApi = {
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getAnalytics: async (days = 30): Promise<Analytics> => {
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@@ -1,7 +1,7 @@
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import { useState } from 'react';
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import { useMutation } from '@tanstack/react-query';
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import { analysisApi } from '../api/client';
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import { Search, CheckCircle, AlertCircle, Clock, FileText } from 'lucide-react';
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import { analysisApi, exportApi } from '../api/client';
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import { Search, CheckCircle, AlertCircle, Clock, FileText, Download } from 'lucide-react';
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import type { CompanyAnalysis } from '../types';
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export function Analysis() {
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@@ -106,9 +106,18 @@ export function Analysis() {
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{/* Analysis Content */}
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{result.success && result.analysis && (
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<div className="bg-bg-card/60 backdrop-blur-lg border border-primary/15 rounded-2xl p-6">
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<h3 className="text-lg font-semibold text-text-primary border-b-2 border-primary/30 pb-2 mb-4">
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AI Analysis Results
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</h3>
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<div className="flex items-center justify-between border-b-2 border-primary/30 pb-2 mb-4">
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<h3 className="text-lg font-semibold text-text-primary">
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AI Analysis Results
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</h3>
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<button
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onClick={() => exportApi.exportCsv(result.company_name)}
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className="flex items-center gap-2 text-sm bg-primary/20 hover:bg-primary/30 text-primary font-medium px-3 py-1.5 rounded-lg transition-colors"
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>
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<Download size={14} />
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Export CSV
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</button>
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</div>
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<div className="prose prose-invert max-w-none">
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<div className="text-text-primary whitespace-pre-wrap leading-relaxed">
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{result.analysis}
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@@ -9,38 +9,15 @@ const COLORS = ['#6366f1', '#0ea5e9', '#10b981', '#f59e0b', '#ef4444', '#8b5cf6'
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export function AnalyticsPage() {
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const [days, setDays] = useState(30);
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const { data, isLoading, isError, refetch } = useQuery({
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const { data, isLoading, isError } = useQuery({
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queryKey: ['analytics', days],
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queryFn: () => analyticsApi.getAnalytics(days),
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});
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if (isLoading) {
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return (
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<div className="space-y-6">
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<div>
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<h2 className="text-xl font-semibold text-text-primary border-b-2 border-primary/30 pb-2 mb-2">
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Analytics Dashboard
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</h2>
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<p className="text-text-secondary">Loading analytics data...</p>
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</div>
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{/* Skeleton cards */}
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<div className="grid grid-cols-1 md:grid-cols-3 gap-4">
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{[1, 2, 3].map((i) => (
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<div key={i} className="bg-gradient-to-br from-primary/10 to-secondary/10 border border-primary/20 rounded-xl p-5 text-center animate-pulse">
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<div className="h-9 w-16 bg-primary/20 rounded mx-auto mb-2" />
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<div className="h-4 w-24 bg-primary/10 rounded mx-auto" />
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</div>
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))}
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</div>
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{/* Skeleton charts */}
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<div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
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{[1, 2].map((i) => (
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<div key={i} className="bg-bg-card/60 border border-primary/15 rounded-2xl p-6 animate-pulse">
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<div className="h-5 w-40 bg-primary/20 rounded mb-4" />
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<div className="h-[300px] bg-primary/5 rounded" />
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</div>
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))}
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</div>
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<div className="flex items-center justify-center min-h-[400px]">
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<div className="animate-spin rounded-full h-12 w-12 border-t-2 border-b-2 border-primary"></div>
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</div>
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);
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}
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@@ -56,18 +33,15 @@ export function AnalyticsPage() {
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<div className="bg-gradient-to-br from-primary/10 to-secondary/5 border border-primary/20 rounded-xl p-6">
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<div className="flex items-center gap-3 text-warning mb-2">
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<Database size={24} />
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<span className="font-semibold">Unable to Load Analytics</span>
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<span className="font-semibold">Database Not Connected</span>
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</div>
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<p className="text-text-secondary">
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Could not connect to the analytics database. Ensure PostgreSQL is running and
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<code className="bg-bg-card px-2 py-1 rounded mx-1">DATABASE_URL</code> is configured correctly.
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Set <code className="bg-bg-card px-2 py-1 rounded">USE_DATABASE=true</code> in your .env file to enable analytics tracking.
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</p>
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<button
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onClick={() => refetch()}
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className="mt-3 text-sm bg-primary/20 hover:bg-primary/30 text-primary font-medium px-4 py-2 rounded-lg transition-colors"
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>
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Retry
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</button>
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</div>
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<div className="flex items-center gap-2 bg-secondary/10 border border-secondary/20 text-secondary rounded-xl px-4 py-3">
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<AlertCircle size={18} />
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<span>Analytics features require storing analysis results in PostgreSQL for historical tracking.</span>
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</div>
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</div>
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);
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@@ -114,21 +114,9 @@ export function Batch() {
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{/* Error */}
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{mutation.isError && (
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<div className="bg-error/10 border border-error/20 rounded-xl px-4 py-3">
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<div className="flex items-center gap-2 text-error">
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<AlertCircle size={18} />
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<span className="font-semibold">Batch analysis failed</span>
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</div>
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<p className="text-text-secondary text-sm mt-1 ml-7">
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{mutation.error instanceof Error ? mutation.error.message : 'An unexpected error occurred.'}
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{' '}Check your connection and try again.
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</p>
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<button
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onClick={() => mutation.reset()}
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className="ml-7 mt-2 text-sm text-primary hover:text-primary-dark underline"
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>
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Dismiss
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</button>
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<div className="flex items-center gap-2 bg-error/10 border border-error/20 text-error rounded-xl px-4 py-3">
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<AlertCircle size={18} />
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<span>Batch analysis failed. Please try again.</span>
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</div>
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)}
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