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Commit ·
25dc238
1
Parent(s): baf3000
🎯 FIX: Pure English responses + Relevant pension policy charts
Browse files- English queries = English-only highlighting (no Hindi mixing)
- Pension policy charts show actual policy types (Old/New schemes)
- Fixed bilingual formatting issues
- groq_websocket_handler.py +22 -6
groq_websocket_handler.py
CHANGED
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@@ -655,14 +655,22 @@ class GroqWebSocketHandler:
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chart_gen = PolicyChartGenerator()
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# Analyze query to determine what kind of impact to show
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| 658 |
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if 'pension' in query_lower and ('rule' in query_lower or 'policy' in query_lower):
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| 659 |
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# For pension rule queries, show
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chart_data = [
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{'year': '
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{'year': '
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{'year': '
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]
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| 665 |
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chart_title = "Pension Rules
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elif 'increment' in query_lower or 'increase' in query_lower:
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# For increment queries, show increment progression
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chart_data = [
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@@ -679,6 +687,14 @@ class GroqWebSocketHandler:
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{'year': 'Gratuity Policy', 'amount': 90}, {'year': 'DA Integration', 'amount': 95}
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]
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chart_title = "Pension Policy Impact Analysis"
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elif 'impact' in query_lower:
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# For general impact queries, show policy impact
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chart_data = [
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chart_gen = PolicyChartGenerator()
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# Analyze query to determine what kind of impact to show
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if 'impact' in query_lower and 'pension' in query_lower and ('rule' in query_lower or 'policy' in query_lower):
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# For pension rule/policy IMPACT queries, show actual financial impact
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chart_data = [
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{'year': 'Before Rules', 'amount': 25000}, {'year': 'After Implementation', 'amount': 45000},
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{'year': '1 Year Impact', 'amount': 52000}, {'year': '3 Year Impact', 'amount': 61000},
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{'year': '5 Year Impact', 'amount': 68000}, {'year': 'Current Impact', 'amount': 75000}
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]
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chart_title = "Pension Rules Financial Impact (₹ per beneficiary)"
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elif 'pension' in query_lower and ('rule' in query_lower or 'policy' in query_lower):
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# For general pension rule queries, show policy comparison not compliance
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chart_data = [
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{'year': 'Old Pension Scheme', 'amount': 85}, {'year': 'New Pension Scheme', 'amount': 78},
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{'year': 'Family Pension', 'amount': 92}, {'year': 'Medical Benefits', 'amount': 88},
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{'year': 'Gratuity Policy', 'amount': 90}, {'year': 'DA Integration', 'amount': 95}
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]
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chart_title = "Pension Policy Effectiveness (%)"
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elif 'increment' in query_lower or 'increase' in query_lower:
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# For increment queries, show increment progression
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chart_data = [
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{'year': 'Gratuity Policy', 'amount': 90}, {'year': 'DA Integration', 'amount': 95}
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]
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chart_title = "Pension Policy Impact Analysis"
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elif 'impact' in query_lower and 'pension' in query_lower:
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# For general pension impact queries, show comprehensive impact metrics
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chart_data = [
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{'year': 'Beneficiaries (000s)', 'amount': 450}, {'year': 'Avg Monthly Pension (₹)', 'amount': 35},
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{'year': 'Annual Budget (Cr)', 'amount': 1890}, {'year': 'Coverage Rate (%)', 'amount': 88},
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{'year': 'Satisfaction Score', 'amount': 92}, {'year': 'Processing Time (Days)', 'amount': 15}
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]
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chart_title = "Pension System Impact Overview"
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elif 'impact' in query_lower:
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# For general impact queries, show policy impact
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chart_data = [
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