fix(chart): rewrite suggestion logic with better error handling

- Remove conflicting tool approach, use direct JSON
- Add fallback: extract numbers from regex if AI fails
- Add debug section to show what content was analyzed
- Be more lenient: any 2+ numbers = valid chart
- Better error messages
- Add console logging for debugging

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Antigravity
2026-05-23 09:36:26 +00:00
parent 625a79a1f9
commit 54385e9f10
2 changed files with 111 additions and 67 deletions

View File

@@ -73,100 +73,132 @@ export async function POST(req: Request) {
const sysConfig = await getSystemConfig() const sysConfig = await getSystemConfig()
const { provider, model, timingInfo } = await resolveAiRouteWithTiming('suggest-charts', sysConfig) const { provider, model, timingInfo } = await resolveAiRouteWithTiming('suggest-charts', sysConfig)
// Build context for AI
const toolContext = {
userId,
noteId,
config: sysConfig,
}
// Use the suggest_charts tool
const suggestChartsTool = toolRegistry.get('suggest_charts')
const tools = suggestChartsTool ? { suggest_charts: suggestChartsTool.buildTool(toolContext) } : {}
try { try {
// 4. Call AI to analyze and suggest // 4. Call AI to analyze and suggest - direct JSON response (no tool)
const { text } = await generateText({ const { text } = await generateText({
model: provider(model), model: provider(model),
system: `You are a data visualization assistant. Analyze the provided text and suggest appropriate chart types. system: `You are a data visualization assistant. Analyze the provided text and suggest appropriate chart types.
IMPORTANT: You MUST respond with valid JSON only. No markdown, no code blocks, no explanations.
DATA EXTRACTION RULES: DATA EXTRACTION RULES:
- Extract ANY numerical data present in the text - Find ANY numbers in the text - even simple lists count
- Look for patterns like: "X: 123", "X = 123", "X is 123", "X (123)", "123X", "X $123", "123%" - Look for: "X: 123", "X = 123", "123", "123%", "$123", etc.
- Accept partial data (e.g., if only 2 values exist, that's still valid for a simple chart) - If you find ANY 2+ numbers, create a chart
- If fewer than 2 data points exist, return hasData=false with empty suggestions - Be creative with labels if none exist (use "Item 1", "Item 2", etc.)
- Each suggestion must use the SAME extracted data (only chart type differs) - NEVER return hasData=false unless text is completely empty or has no numbers at all
- Return exactly 3 suggestions when data exists
CHART TYPE SELECTION: CHART TYPES TO SUGGEST (always 3 different types):
- bar: Comparing values across categories (default choice) 1. bar - for comparing categories
- horizontal-bar: Categories with long labels 2. line - for trends/sequences
- line: Time series or sequential data 3. pie - for parts of whole
- area: Time series where magnitude matters
- pie: Parts of a whole (percentages or proportions)
- radar: Comparing multiple dimensions
- funnel: Stages or conversion steps
- gauge: Single value vs target
Response format (JSON): Response format (COPY this structure):
{ {"suggestions":[
"suggestions": [ {"type":"bar","title":"Chart Title","data":[{"label":"A","value":100},{"label":"B","value":200}],"description":"...","rationale":"..."},
{ {"type":"line","title":"...","data":[...],"description":"...","rationale":"..."},
"type": "bar|horizontal-bar|line|area|pie|radar|funnel|gauge", {"type":"pie","title":"...","data":[...],"description":"...","rationale":"..."}
"title": "Chart title", ],"analyzedText":"...","detectedData":"...","hasData":true}`,
"data": [{"label": "Category", "value": 123}],
"description": "What this chart shows",
"rationale": "Why this chart type suits the data"
}
],
"analyzedText": "Text that was analyzed",
"detectedData": "Description of what data was found",
"hasData": true
}`,
messages: [ messages: [
{ {
role: 'user', role: 'user',
content: `Analyze this text and suggest 3 appropriate chart types:\n\n${textToAnalyze}`, content: `Extract numbers from this text and suggest 3 charts:\n\n${textToAnalyze}`,
}, },
], ],
tools,
temperature: 0.3, temperature: 0.3,
}) })
// 5. Parse AI response // 5. Parse AI response - be very lenient
console.log('[suggest-charts] AI response:', text.substring(0, 500))
let parsed: SuggestChartsResponse let parsed: SuggestChartsResponse
try { try {
// Try to extract JSON from the response // Clean the response - remove markdown code blocks
const jsonMatch = text.match(/\{[\s\S]*\}/) let cleanText = text
.replace(/```json\n?/gi, '')
.replace(/```\n?/gi, '')
.trim()
// Find JSON object
const jsonMatch = cleanText.match(/\{[\s\S]*\}/)
if (!jsonMatch) { if (!jsonMatch) {
throw new Error('No JSON found in response') throw new Error('No JSON found')
} }
parsed = JSON.parse(jsonMatch[0]) parsed = JSON.parse(jsonMatch[0])
} catch (e) { } catch (e) {
console.error('[suggest-charts] Failed to parse AI response:', text) console.error('[suggest-charts] Parse error:', e, 'Raw text:', text)
// Return empty suggestions on parse error
return Response.json({ // Check if text has ANY numbers - if so, create a simple chart
suggestions: [], const numbers = textToAnalyze.match(/\d+/g)
analyzedText: textToAnalyze.substring(0, 100), if (numbers && numbers.length >= 2) {
detectedData: 'Failed to parse AI response', const values = numbers.slice(0, 6).map(n => parseInt(n) || 0)
hasData: false, parsed = {
} satisfies SuggestChartsResponse) suggestions: [
{
type: 'bar',
title: 'Data from Note',
data: values.map((v, i) => ({ label: `Item ${i + 1}`, value: v })),
description: 'Bar chart of extracted values',
rationale: 'Simple comparison of numerical values found'
},
{
type: 'line',
title: 'Data Trend',
data: values.map((v, i) => ({ label: `Item ${i + 1}`, value: v })),
description: 'Line chart showing progression',
rationale: 'Visualizes the sequence of values'
},
{
type: 'pie',
title: 'Data Distribution',
data: values.map((v, i) => ({ label: `Item ${i + 1}`, value: v })),
description: 'Pie chart of value proportions',
rationale: 'Shows relative sizes of each value'
}
],
analyzedText: textToAnalyze.substring(0, 100),
detectedData: `Found ${numbers.length} numerical values`,
hasData: true
}
} else {
return Response.json({
suggestions: [],
analyzedText: textToAnalyze.substring(0, 100),
detectedData: 'No numerical data found',
hasData: false,
error: 'Add numbers to your note (e.g., "Jan: 100, Feb: 200")',
} satisfies SuggestChartsResponse, { status: 200 })
}
} }
// Validate response structure // Validate and fix response
if (!parsed.suggestions || !Array.isArray(parsed.suggestions)) { if (!parsed.suggestions || !Array.isArray(parsed.suggestions)) {
parsed.suggestions = [] parsed.suggestions = []
} }
// Ensure exactly 3 suggestions when data exists // Ensure we have 3 suggestions when hasData=true
if (parsed.hasData && parsed.suggestions.length !== 3) { if (parsed.hasData && parsed.suggestions.length < 3) {
parsed.suggestions = parsed.suggestions.slice(0, 3) const baseSuggestion = parsed.suggestions[0]
if (baseSuggestion) {
const types = ['bar', 'line', 'pie'].filter(t => t !== baseSuggestion.type)
while (parsed.suggestions.length < 3 && types.length > 0) {
parsed.suggestions.push({ ...baseSuggestion, type: types.shift()! })
}
}
} }
// Validate each suggestion has required fields // Ensure each suggestion has valid data
parsed.suggestions = parsed.suggestions.filter(s => parsed.suggestions = parsed.suggestions.filter(s => {
s.type && s.title && s.data && Array.isArray(s.data) && s.data.length >= 2 if (!s.type || !s.data || !Array.isArray(s.data) || s.data.length < 2) return false
) // Ensure all data points have label and value
s.data = s.data.filter(d => d && typeof d.value === 'number')
return s.data.length >= 2
})
// If after filtering we have no valid suggestions, set hasData=false
if (parsed.suggestions.length === 0) {
parsed.hasData = false
}
// Track usage // Track usage
await trackFeatureUsage(userId, 'suggest_charts', 'suggest-charts', 1) await trackFeatureUsage(userId, 'suggest_charts', 'suggest-charts', 1)

View File

@@ -53,6 +53,7 @@ export function ChartSuggestionsDialog({
suggestCharts({ content, selection, noteId }) suggestCharts({ content, selection, noteId })
.then(data => { .then(data => {
if (aborted) return if (aborted) return
console.log('[ChartSuggestionsDialog] Response:', data)
setResponse(data) setResponse(data)
setLoading(false) setLoading(false)
}) })
@@ -61,10 +62,10 @@ export function ChartSuggestionsDialog({
console.error('[ChartSuggestionsDialog] Error:', err) console.error('[ChartSuggestionsDialog] Error:', err)
setResponse({ setResponse({
suggestions: [], suggestions: [],
analyzedText: '', analyzedText: textToAnalyze?.substring(0, 100) || '',
detectedData: '', detectedData: 'Error occurred',
hasData: false, hasData: false,
error: err.message || 'Failed to load suggestions', error: err.message || 'Network error - check console',
}) })
setLoading(false) setLoading(false)
}) })
@@ -192,6 +193,17 @@ export function ChartSuggestionsDialog({
<li> Percentages or proportions</li> <li> Percentages or proportions</li>
<li> Time-series data</li> <li> Time-series data</li>
</ul> </ul>
<div className="mt-4 pt-4 border-t border-border/50">
<details className="text-left">
<summary className="text-xs text-muted-foreground cursor-pointer hover:text-foreground">
Debug: Show what was analyzed
</summary>
<pre className="mt-2 text-xs bg-muted p-2 rounded overflow-auto max-h-32">
{textToAnalyze.substring(0, 500)}
{textToAnalyze.length > 500 && '...'}
</pre>
</details>
</div>
</div> </div>
</div> </div>
) : ( ) : (