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Add comprehensive MongoDB thread analysis #183

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waleedkadous
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Summary

  • Analyzed 22,081 conversation threads from the last 3 months (May 15 - Aug 15, 2025)
  • Implemented comprehensive topic categorization, language detection, and PII risk assessment
  • Created reusable analysis pipeline using Gemini 2.5 Flash with parallel processing

Key Findings

  • 40.4% of users seek Fiqh guidance (Islamic jurisprudence including halal/haram)
  • 97.7% of conversations have low PII risk (excellent privacy protection)
  • 74.3% use English, with support for 43 languages total
  • Quran questions show distinct patterns: 28% seek interpretation, 18% need verse lookup

Implementation Details

Analysis Pipeline

  • 23 Python scripts for data processing and analysis
  • Parallel processing with 30 workers for efficient throughput
  • 99.99% success rate (only 2 errors in 22,081 threads)
  • Idempotent processing allows resume on failure

Key Features

  • Consolidated Categories: Merged "Halal and Haram" into Fiqh for clearer hierarchy
  • PII Confidence Scoring: 0.0-1.0 scale replacing boolean flags
  • Deep Quran Analysis: Subcategory clustering revealing user intent patterns
  • Comprehensive Reporting: 8 detailed reports with actionable insights

Directory Structure

analysis/
├── scripts/         # 23 Python analysis scripts
├── reports/         # 8 comprehensive reports
├── data-local/      # Analysis data (gitignored)
└── README.md        # Documentation

Reports Included

  • MASTER_COMPREHENSIVE_ANALYSIS_REPORT.md - Complete project documentation
  • ANSARI_V2_ANALYSIS_FINAL_REPORT.md - Detailed V2 analysis with improved categories
  • QURAN_TOP7_CLASSIFICATION_REPORT.md - Quran subcategory analysis

Next Steps

This analysis provides data-driven insights for:

  • Content strategy prioritization
  • Feature development roadmap
  • User experience optimization
  • Multi-language support planning

@waleedkadous
Add comprehensive MongoDB thread analysis
686ca3d 
- Analyzed 22,081 conversation threads from last 3 months
- Implemented topic categorization with consolidated Fiqh category
- Added PII confidence scoring (0.0-1.0 scale)
- Deep analysis of Quran questions with subcategory clustering
- Created analysis scripts for parallel processing with Gemini 2.5 Flash
- Generated comprehensive reports with actionable insights
- Organized analysis artifacts into proper directory structure
- Updated gitignore to exclude large data files
@waleedkadous
Add consolidated final report and clarify report status
f03bb95 
- Created FINAL_CONSOLIDATED_REPORT.md as single source of truth
- Resolves contradictions between reports (Fiqh: 40.4% not 42.3%)
- Fixes date ranges (May 15 - Aug 15, 2025)
- Adds README to clarify which reports are current vs superseded
@waleedkadous
Create truly comprehensive consolidated report with all details
1dceffd 
- Added complete technical implementation details
- Included all tools, scripts, and methodologies used
- Added project timeline and processing details
- Included LLM prompts and configuration
- Added all category examples and patterns
- Comprehensive appendices with file structure and setup
- Removed duplicate information
- Single source of truth with 15 sections
@waleedkadous
Clean up superseded reports to prevent confusion
b20eb08 
- Deleted 5 reports fully superseded by FINAL_CONSOLIDATED_REPORT.md
- Kept ANSARI_V2_ANALYSIS_FINAL_REPORT.md for methodology details
- Kept QURAN_TOP7_CLASSIFICATION_REPORT.md for specialized analysis
- Updated README to clarify current report structure
- FINAL_CONSOLIDATED_REPORT.md is now the single source of truth
@waleedkadous
Rename reports to lowercase with clearer distinctions
d360584 
Renamed files for clarity:
- FINAL_CONSOLIDATED_REPORT.md → complete_analysis.md (main findings)
- ANSARI_V2_ANALYSIS_FINAL_REPORT.md → v2_methodology.md (how it was done)
- QURAN_TOP7_CLASSIFICATION_REPORT.md → quran_subcategories.md (specialized analysis)
- README.md → readme.md (lowercase consistency)

Updated readme with:
- Clear distinction between WHAT (complete_analysis) vs HOW (v2_methodology)
- Quick reference table for choosing the right report
- Explicit relationships between reports
@waleedkadous
Update readme.md with clear report structure and purposes
e3f2b28
@waleedkadous
Add user feedback analysis to comprehensive report
e72dcc6 
- Added complete user feedback section after Topic Distribution
- 885 feedback submissions analyzed with 84% satisfaction rate
- Key finding: 61.8% of comments focus on clarity
- Added temporal patterns showing Tuesday peak activity
- Included feedback-driven improvement recommendations
- Updated Table of Contents to reflect new structure
@waleedkadous
Add Ansari tool usage analysis to comprehensive report
ba59bb9 
- Analyzed 50,527 tool invocations across 23,087 threads
- 87.5% of threads use at least one Islamic knowledge tool
- search_quran dominates with 41.7% of all tool calls
- Identified tool combination patterns (Hadith+Quran most common)
- Added monthly usage trends showing June-July peak
- Created analyze_tool_usage.py script for data extraction
- Key finding: search_tafsir underutilized (2%) despite need (28%)
@waleedkadous
Fix tool usage percentages to use analyzable threads
fedf693 
- Changed denominator from 23,087 to 22,081 (analyzable threads)
- Tool adoption rate corrected: 91.5% (not 87.5%)
- Multi-tool usage: 31.9% of analyzable threads
- More accurate representation excludes system/null threads
@waleedkadous
Correct tool usage percentages using unique thread counts
c9ccfdb 
- Fixed calculation: Now showing % of 22,081 analyzable threads
- search_quran: 51.6% of threads (not 95.4%)
- search_hadith: 43.8% of threads (not 72.6%)
- search_mawsuah: 34.1% of threads (not 56.3%)
- search_tafsir_encyc: 3.2% of threads (not 4.6%)
- Added unique thread counts vs total invocations
- Created analyze_tool_usage_threads.py for accurate counting
@waleedkadous
Ensure all statistics are consistent throughout report
ffbe99b 
- Fixed tafsir usage: 3.2% (not 2%)
- Fixed Mawsuah usage: 34.1% (not 24.6%)
- Updated Other category example to real non-Islamic query
- Verified all percentages use correct denominators
- Confirmed consistency across all sections
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@amrmelsayed amrmelsayed Awaiting requested review from amrmelsayed

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@waleedkadous