prompt update

app.py

@@ -1787,79 +1787,95 @@ def agent_interface(
                 elif not WEB_SEARCH_ENABLED: formatted_search_results = "Web search feature is disabled."
 
                 analysis_prompt_template = (
-                    "**Analytical Framework:** Hybrid inference system combining:\n"
-                    "1. Statistical Model (historical performance data)\n"
-                    "2. Contextual analysis engine (external search results)\n"
-                    "3. Market efficiency analyzer (odds movement tracking)\n\n"
-                    "## Input Parameters:\n"
-                    "* **Match Context:** {match_str}\n"
-                    "* **Market Odds:** {odds_str} | Implied Probability: {implied_probs_str}\n"
-                    "* **Statistical Model Prediction:** {prediction_str}\n"
-                    "* **Statistical Model Probabilities Breakdown:** {probs_str}\n"
-                    "* **Probability Delta:** {prob_comparison_sentence}\n\n"
-                    "{formatted_search_results}\n\n"
-                    "## Pre-processing Instructions:\n"
-                    "- From Statistical Model Probabilities Breakdown, identify:\n"
-                    "  - `top_outcome`: the single outcome (Home Win, Draw, or Away Win) with the highest probability\n"
-                    "  - `top_prob`: its probability value\n"
-                    "  - `second_outcome`: the single outcome with the second highest probability (must be different from top_outcome; if tie, prioritize based on better market value or arbitrarily)\n"
-                    "  - `second_prob`: its probability value\n"
-                    "- `top_odds`: market odds for top_outcome from {odds_str}\n"
-                    "- `second_odds`: market odds for second_outcome from {odds_str}\n"
-                    "- Calculate `confidence_stars`: ★☆☆☆☆ to ★★★★★ based on top_prob (rounded to nearest star, e.g., 40% ≈ ★★☆☆☆)\n"
-                    "- `confidence_range`: [{top_prob:.1f}-5]% to [{top_prob:.1f}+5]%\n"
-                    "- If no historical odds data: set `line_movement` = 0%\n"
-                    "- Extract `top_factor`, `secondary_factor`, and weights from external search context\n"
-                    "- `expiration_time`: 1 hour before match or earlier if breaking news is found\n"
-                    "- `contextual_summary`: summarize key findings from search results\n"
-                    "- `contextual_rationale`: summarize contextual reasoning\n"
-                    "- `weighting_logic`: explain how Statistical Model and Contextual data were combined\n"
-                    "- `hedging_insight`: explain how to hedge between top_outcome and second_outcome\n"
-                    "- `preferred_outcome`: top_outcome if contextual supports it stronger; otherwise second_outcome (include brief why)\n\n"
-                    "## Output Structure Requirements:\n"
-                    "**CRITICAL FORMATTING RULES:**\n"
-                    "1. ABSOLUTELY NO SECTION MARKERS (###...###) IN FINAL OUTPUT\n"
-                    "2. Use ONLY these exact section headers:\n"
-                    " - **Recommendation**\n"
-                    " - **Conflict Resolution Analysis**\n"
-                    " - **Market Efficiency Analysis**\n"
-                    " - **Risk Analysis**\n"
-                    " - **Prediction Validity Window**\n"
-                    "3. Confidence range matches top_prob ±5%\n"
-                    "4. Dual recommendation contains exactly the top two model outcomes (no more, no less)\n"
-                    "5. Three key insights in executive summary\n"
-                    "6. All outcomes in recommendations must be single: Home Win, Draw, or Away Win. Strictly prohibit combined outcomes like 'Aston Villa or Draw (X2)', 'Double Chance', '1X', etc.\n\n"
-                    "## Mandatory Output Format:\n"
-                    "**Recommendation**\n"
-                    "🏆 DUAL RECOMMENDATION: [top_outcome] @ [top_odds] OR [second_outcome] @ [second_odds] | Confidence: [confidence_stars] ([confidence_range])\n"
-                    "🔍 [Key Insight 1] (brief explanation)\n"
-                    "🔍 [Key Insight 2] (brief explanation)\n"
-                    "🔍 [Key Insight 3] (brief explanation)\n\n"
-                    "▮ Recommendation Approach:\n"
-                    "⚽ Preferred Outcome: [preferred_outcome] (show why it's stronger)\n\n"
-                    "**Conflict Resolution Analysis**\n"
-                    "▮ Source Discrepancy Breakdown\n"
-                    "▸ Statistical Model Perspective ({top_prob:.1f}%) - [statistical rationale for top_outcome and second_outcome]\n"
-                    "▸ External Contextual Analysis - [contextual summary]\n"
-                    "▸ Resolution Framework - [weighting logic]\n\n"
-                    "**Market Efficiency Analysis**\n"
-                    "▸ [Statistical vs implied probability analysis for top two outcomes]\n"
-                    "▸ [Market pattern recognition]\n\n"
-                    "**Risk Analysis**\n"
-                    "• Statistical Model Uncertainty: [low/med/high] - [reason]\n"
-                    "• Context Volatility: [low/med/high] - [reason]\n"
-                    "• Market Correlation: [low/med/high] - [hedging insight]\n\n"
-                    "**Prediction Validity Window**\n"
-                    "This recommendation is valid until:\n"
-                    "• [expiration_time]\n\n"
-                    "## Validation Checks:\n"
-                    "BEFORE FINALIZING, VERIFY:\n"
-                    "1. No section markers present\n"
-                    "2. All 5 required sections exist with exact headers\n"
-                    "3. Confidence range matches top_prob ±5%\n"
-                    "4. Dual recommendation contains exactly two single outcomes\n"
-                    "5. Three key insights in executive summary\n"
-                )
+                        "**Analytical Framework:** Hybrid inference system combining:\n"
+                        "1. Statistical Model (historical performance data)\n"
+                        "2. Contextual analysis engine (external search results)\n"
+                        "3. Market efficiency analyzer (odds movement tracking)\n\n"
+                        
+                        "## Input Parameters:\n"
+                        "* **Match Context:** {match_str}\n"
+                        "* **Market Odds:** {odds_str} | Implied Probability: {implied_probs_str}\n"
+                        "* **Statistical Model Prediction:** {prediction_str}\n"
+                        "* **Statistical Model Probabilities Breakdown:** {probs_str}\n"
+                        "* **Probability Delta:** {prob_comparison_sentence}\n\n"
+                        
+                        "{formatted_search_results}\n\n"
+                        
+                        "## STRICT PRE-PROCESSING INSTRUCTIONS:\n"
+                        "1. **OUTCOME SELECTION CRITERIA (MUST FOLLOW):**\n"
+                        "   - Extract the TOP 2 SINGLE OUTCOMES from the combined analysis\n"
+                        "   - Combine probabilities from: Statistical Model ({model_conf_pct:.1f}%) + Contextual weighting\n"
+                        "   - Select the TWO highest probability SINGLE outcomes (Home Win, Draw, or Away Win ONLY)\n"
+                        "   - **ABSOLUTELY NO DOUBLE CHANCE OUTCOMES (X2, 1X, 12)**\n"
+                        "   - **ABSOLUTELY NO COMBINED OUTCOMES**\n"
+                        "   - If Statistical Model and Contextual Analysis agree, still output 2 distinct single outcomes\n"
+                        "\n"
+                        "2. **Calculate `confidence_stars`:** ★☆☆☆☆ to ★★★★★ based on Statistical Model confidence (rounded)\n"
+                        "3. **`confidence_range`:** [{model_conf_pct:.1f}-5]% to [{model_conf_pct:.1f}+5]%\n"
+                        "4. **If no historical odds:** set `line_movement` = 0%\n"
+                        "5. **`expiration_time`:** 1 hour before match or earlier if breaking news\n"
+                        "6. **`contextual_summary`:** summarize key findings from search results\n"
+                        "7. **`weighting_logic`:** explain how Statistical Model and Contextual data were combined\n"
+                        "\n"
+                        "## OUTPUT STRUCTURE REQUIREMENTS (CRITICAL):\n"
+                        "**FORMAT RULES (NON-NEGOTIABLE):**\n"
+                        "1. ABSOLUTELY NO SECTION MARKERS (###...###) IN FINAL OUTPUT\n"
+                        "2. Use ONLY these exact section headers:\n"
+                        "   - **Recommendation**\n"
+                        "   - **Conflict Resolution Analysis**\n"
+                        "   - **Market Efficiency Analysis**\n"
+                        "   - **Risk Analysis**\n"
+                        "   - **Prediction Validity Window**\n"
+                        "\n"
+                        "## MANDATORY OUTPUT FORMAT:\n"
+                        "**Recommendation**\n"
+                        "🏆 DUAL RECOMMENDATION: [Outcome 1] @ [Market Odds for Outcome 1] OR [Outcome 2] @ [Market Odds for Outcome 2] | Confidence: [★★★☆☆] ([55% to 65%])\n"
+                        "**MUST BE ONLY 2 SINGLE OUTCOMES FROM: Home Win, Draw, Away Win**\n"
+                        "🔍 [Key Insight 1] (brief explanation)\n"
+                        "🔍 [Key Insight 2] (brief explanation)\n"
+                        "🔍 [Key Insight 3] (brief explanation)\n"
+                        "\n"
+                        "▮ Recommendation Approach:\n"
+                        "⚽ Preferred Outcome: [Either Outcome 1 or Outcome 2, whichever has stronger support] (show why it's stronger)\n"
+                        "\n"
+                        "**Conflict Resolution Analysis**\n"
+                        "▮ Source Discrepancy Breakdown\n"
+                        "▸ Statistical Model Perspective ({model_conf_pct:.1f}%) - [statistical rationale for top 2 outcomes]\n"
+                        "�� External Contextual Analysis - [contextual summary supporting the 2 outcomes]\n"
+                        "▸ Resolution Framework - [weighting logic explaining why THESE 2 outcomes were selected]\n"
+                        "\n"
+                        "**Market Efficiency Analysis**\n"
+                        "▸ [Statistical vs implied probability analysis for the 2 selected outcomes]\n"
+                        "▸ [Market pattern recognition specifically for these outcomes]\n"
+                        "\n"
+                        "**Risk Analysis**\n"
+                        "• Statistical Model Uncertainty: [low/med/high] - [reason specific to the 2 outcomes]\n"
+                        "• Context Volatility: [low/med/high] - [reason specific to the 2 outcomes]\n"
+                        "• Market Correlation: [low/med/high] - [hedging insight between the 2 outcomes]\n"
+                        "\n"
+                        "**Prediction Validity Window**\n"
+                        "This recommendation is valid until:\n"
+                        "• [Expiration time]\n"
+                        "\n"
+                        "## VALIDATION CHECKS (CRITICAL):\n"
+                        "BEFORE FINALIZING OUTPUT, VERIFY ALL:\n"
+                        "1. ✅ DUAL RECOMMENDATION contains EXACTLY 2 SINGLE OUTCOMES (no double chance)\n"
+                        "2. ✅ Outcomes are from: Home Win, Draw, OR Away Win ONLY\n"
+                        "3. ✅ No section markers present\n"
+                        "4. ✅ All 5 required sections exist with exact headers\n"
+                        "5. ✅ Confidence range matches model confidence ±5%\n"
+                        "6. ✅ Three key insights in executive summary\n"
+                        "7. ✅ Market odds correspond to the correct selected outcomes\n"
+                        "\n"
+                        "## EXAMPLE OF CORRECT FORMAT:\n"
+                        "**Recommendation**\n"
+                        "🏆 DUAL RECOMMENDATION: Home Win @ 2.10 OR Draw @ 3.50 | Confidence: ★★★☆☆ (45% to 55%)\n"
+                        "(NOT: Home Win @ 2.10 OR Away Win or Draw @ 1.75 ← THIS IS WRONG)\n"
+                        "(NOT: Home Win @ 2.10 OR Draw @ 3.50 OR Away Win @ 3.80 ← THIS IS WRONG)\n"
+                        "🔍 Insight 1...\n"
+                        "🔍 Insight 2...\n"
+                        "🔍 Insight 3...\n"
+                    )
 
                 analysis_prompt = analysis_prompt_template.format(
                     match_str=match_str,