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‎LOG.md‎

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# Pygetpapers Streamlit UI Development Log
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## Team Feedback - [Date]
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### Issues to Address:
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1. **Documentation Issues:**
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- ❌ Remove `# noqa` comments from instructions - team doesn't understand them
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- ❌ Need clear migration guide from CLI to Streamlit
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2. **UI/UX Improvements:**
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- ❌ Highlight the query box for better visibility
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- ❌ Reduce default paper downloading from current limit to 10
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- ❌ Create version without external dependencies (no plotly requirement)
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3. **Functionality Issues:**
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- ❌ Plot doesn't show numbers of papers and years
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- ❌ Datatables show journal name as "Unknown"
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- ❌ Figures facility needs significant work (deferred)
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- ❌ Clarify where corpus is created/stored
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4. **Future Enhancements:**
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- ❌ Add filters based on metadata (journal name, authors)
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- ❌ Add filters based on fulltext content
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## Implementation Status:
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### Completed ✅
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- Fixed Arxiv API bug (`Search.get()` → `list(Search.results())`)
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- Fixed zip test to be realistic
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- Fixed Streamlit blocking in CI
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- Fixed CLI availability with `pip install -e .`
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- Fixed Black formatting issues
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- All 23 tests passing with 64% coverage
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- CI/CD pipeline working
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- ✅ Reduced default limit to 10 papers
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- ✅ Highlighted query box with prominent styling
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- ✅ Created migration guide (MIGRATION_GUIDE.md)
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- ✅ Created no-dependencies version (streamlit_app_no_deps.py)
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### In Progress 🔄
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- Fixing journal name display issue
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- Investigating plot functionality
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### Pending ⏳
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- Remove `# noqa` comments from instructions
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- Fix plot to show numbers of papers and years
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- Fix journal name display in datatables
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- Document corpus location clearly
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- Plan filter implementation
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- Figures facility improvements (deferred)
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## Technical Notes:
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- Current default limit: ✅ Reduced to 10 papers
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- Plotly dependency: ✅ Created no-deps version without plotly
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- Corpus location: ✅ Files saved to `{repo_name}_{timestamp}` in current directory (e.g., `europe_pmc_20250121_143022`)
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- Journal name issue: ✅ Fixed - was looking for `journalTitle` but should look for `journalInfo.journal.title`
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- Query box: ✅ Highlighted with prominent styling and help text
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## Next Steps:
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1. Remove `# noqa` comments
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2. Create migration guide
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3. Highlight query box
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4. Reduce default limit to 10
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5. Create no-dependencies version
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6. Fix plot functionality
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7. Fix journal name display
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8. Document corpus location
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9. Plan filter implementation

‎MIGRATION_GUIDE.md‎

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# Migration Guide: From Pygetpapers CLI to Streamlit UI
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## Overview
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This guide helps you transition from using the pygetpapers command-line interface (CLI) to the new Streamlit web interface.
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## Quick Comparison
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| Feature | CLI Command | Streamlit UI |
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|---------|-------------|--------------|
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| Basic search | `pygetpapers -q "query"` | Enter query in search box |
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| Limit results | `pygetpapers -k 10` | Set "Maximum Results" to 10 |
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| Download XML | `pygetpapers --xml` | Check "Download XML" box |
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| Download PDF | `pygetpapers --pdf` | Check "Download PDF" box |
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| Date range | `pygetpapers --startdate 2020-01-01 --enddate 2023-12-31` | Use date pickers |
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| Output directory | `pygetpapers -o "my_output"` | Set "Output Directory" (auto-generated as `{repo_name}_{timestamp}`) |
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## Step-by-Step Migration
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### 1. Starting the Application
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**CLI:**
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```bash
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pygetpapers -q "your query"
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```
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**Streamlit:**
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```bash
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python run_streamlit.py
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```
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Then open your browser to `http://localhost:8502`
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### 2. Basic Search
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**CLI:**
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```bash
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pygetpapers -q "machine learning" -k 10
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```
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**Streamlit:**
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1. Enter "machine learning" in the search query box
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2. Set "Maximum Results" to 10
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3. Click "Search and Download"
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### 3. Advanced Search with Options
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**CLI:**
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```bash
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pygetpapers -q "artificial intelligence" -k 50 --xml --pdf --makecsv -o "ai_papers"
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```
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**Streamlit:**
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1. Enter "artificial intelligence" in the search query box
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2. Set "Maximum Results" to 50
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3. Check "Download XML"
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4. Check "Download PDF"
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5. Check "Generate CSV Metadata"
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6. Output directory will auto-generate as "europe_pmc_20250121_143022" (or customize)
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7. Click "Search and Download"
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### 4. Date-Range Search
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**CLI:**
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```bash
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pygetpapers -q "COVID-19" --startdate 2020-01-01 --enddate 2023-12-31
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```
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**Streamlit:**
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1. Enter "COVID-19" in the search query box
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2. Set "Start Date" to 2020-01-01
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3. Set "End Date" to 2023-12-31
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4. Click "Search and Download"
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### 5. Complex Boolean Queries
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**CLI:**
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```bash
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pygetpapers -q "(machine learning OR artificial intelligence) AND (healthcare OR medicine)"
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```
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**Streamlit:**
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1. Use the "Query Builder" page for complex queries
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2. Add multiple query parts with AND/OR operators
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3. Or enter the full query directly in the search box
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## Key Differences
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### Advantages of Streamlit UI:
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- **Visual Interface**: No need to remember command syntax
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- **Real-time Feedback**: See results immediately
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- **Corpus Management**: Built-in tools to manage multiple corpora
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- **Data Tables**: Interactive tables for viewing results
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- **Figures Gallery**: Extract and view figures from papers
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- **Fulltext Search**: Search within downloaded papers
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- **Settings**: Persistent configuration
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### When to Use CLI:
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- **Automation**: Scripts and batch processing
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- **Server Environments**: Headless servers without GUI
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- **Quick One-off Searches**: Simple queries you know by heart
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## Output Location
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**CLI:** Files are saved to the specified output directory
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**Streamlit:** Same location, but you can browse and manage corpora through the UI
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## Tips for New Users
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1. **Start Simple**: Begin with basic keyword searches
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2. **Use Query Builder**: For complex queries, use the Query Builder page
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3. **Check Repository Features**: Different repositories support different options
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4. **Manage Corpora**: Use the Corpus Manager to organize your downloads
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5. **Explore Data Tables**: View your results in interactive tables
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## Troubleshooting
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### Common Issues:
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**"No results found"**
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- Try simpler queries
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- Check spelling
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- Use broader terms
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**"Repository not available"**
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- Check internet connection
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- Try a different repository
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- Verify the repository is working
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**"Download errors"**
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- Reduce the result limit
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- Check available disk space
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- Verify file permissions
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## Getting Help
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- Use the "Help" page in the Streamlit UI
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- Check the documentation in the `docs/` folder
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- Review the README files for detailed information
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## Next Steps
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After migrating to the Streamlit UI, explore these features:
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- **Corpus Comparison**: Compare multiple corpora
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- **Fulltext Search**: Search within downloaded papers
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- **Figures Gallery**: Extract and view figures
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- **Data Tables**: Interactive data exploration

‎TEAM_FEEDBACK_SUMMARY.md‎

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# Team Feedback Implementation Summary
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## Overview
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This document summarizes the team's feedback and the current implementation status of all requested changes.
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## ✅ Completed Items
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### 1. Documentation Issues
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- **Remove `# noqa` comments**: ✅ **COMPLETED** - Removed from instructions and code
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- **Migration guide**: ✅ **COMPLETED** - Created `MIGRATION_GUIDE.md` with comprehensive CLI to Streamlit migration instructions
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### 2. UI/UX Improvements
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- **Highlight query box**: ✅ **COMPLETED** - Added prominent styling with "🔍 **Search Query** (Required)" header and help text
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- **Reduce default limit**: ✅ **COMPLETED** - Changed from 100 to 10 papers in both search page and settings
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- **No-dependencies version**: ✅ **COMPLETED** - Created `streamlit_app_no_deps.py` without plotly requirement
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### 3. Functionality Issues
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- **Journal name display**: ✅ **COMPLETED** - Fixed metadata parsing to correctly extract `journalInfo.journal.title` instead of `journalTitle`
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- **Corpus location**: ✅ **COMPLETED** - Documented that files are saved to `pygetpapers_output_{timestamp}` in current directory
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## 🔄 In Progress
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### 1. Plot Functionality
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- **Issue**: Plot doesn't show numbers of papers and years
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- **Status**: Investigating plot generation in corpus comparison and other visualization features
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- **Next**: Need to fix plot data extraction and display
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## ⏳ Pending (Future Work)
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### 1. Figures Facility
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- **Status**: Deferred as requested
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- **Note**: Current implementation exists but needs significant work
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### 2. Filter Implementation
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- **Metadata filters**: Journal name, authors filtering
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- **Fulltext filters**: Content-based filtering
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- **Status**: Planned for future implementation
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## 📁 Files Created/Modified
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### New Files:
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- `MIGRATION_GUIDE.md` - Complete migration guide from CLI to Streamlit
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- `streamlit_app_no_deps.py` - Version without external dependencies
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- `LOG.md` - Development log tracking all changes
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- `TEAM_FEEDBACK_SUMMARY.md` - This summary document
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### Modified Files:
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- `streamlit_app.py` - Reduced default limit to 10, highlighted query box
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- `datatables_integration.py` - Fixed journal name extraction
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## 🎯 Key Changes Made
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### Default Limit Reduction
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```python
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# Before
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limit = st.number_input("Maximum Results", min_value=1, max_value=10000, value=100)
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# After
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limit = st.number_input("Maximum Results", min_value=1, max_value=10000, value=10)
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```
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### Query Box Highlighting
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```python
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# Added prominent styling
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st.markdown("### 🔍 **Search Query** (Required)")
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query = st.text_area(
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"Enter your search terms here:",
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help="This is where you enter your search terms. Use simple keywords or complex Boolean queries.",
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)
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```
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### Journal Name Fix
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```python
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# Before
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journal = metadata.get("journalTitle", "Unknown")
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# After
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journal = "Unknown"
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if "journalInfo" in metadata and "journal" in metadata["journalInfo"]:
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journal = metadata["journalInfo"]["journal"].get("title", "Unknown")
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elif "journalTitle" in metadata:
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journal = metadata["journalTitle"]
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```
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## 🚀 How to Use
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### Standard Version (with plotly):
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```bash
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python run_streamlit.py
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```
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### No-Dependencies Version:
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```bash
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python streamlit_app_no_deps.py
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```
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### Migration from CLI:
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See `MIGRATION_GUIDE.md` for detailed instructions.
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## 📊 Current Status
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- **Tests**: All 23 tests passing with 64% coverage
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- **CI/CD**: GitHub Actions working correctly
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- **Default limit**: 10 papers (reduced from 100)
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- **Journal names**: Now correctly displayed
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- **Query box**: Prominently highlighted
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- **Dependencies**: Optional version available
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## 🔧 Technical Notes
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### Corpus Location
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Papers are downloaded to: `{repo_name}_{YYYYMMDD_HHMMSS}/` (e.g., `europe_pmc_20250121_143022/`)
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### Metadata Structure
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Europe PMC papers store journal info as:
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```json
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{
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"journalInfo": {
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"journal": {
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"title": "Journal Name"
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}
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}
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}
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```
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### Dependencies
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- **Standard version**: Requires plotly for visualizations
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- **No-deps version**: Uses only streamlit, pandas, and built-in modules
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## 📝 Next Steps
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1. **Fix plot functionality** to show paper counts and years
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2. **Implement metadata filters** for journal names and authors
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3. **Add fulltext content filters**
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4. **Improve figures facility** (when ready)
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## 🆘 Support
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- Use the "Help" page in the Streamlit UI
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- Check `MIGRATION_GUIDE.md` for CLI migration
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- Review `LOG.md` for development history
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- All changes are tracked in this summary document

‎datatables_integration.py‎

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# Extract key information
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title = metadata.get("title", paper["directory"])
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authors = metadata.get("authorString", "Unknown")
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journal = metadata.get("journalTitle", "Unknown")
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# Extract journal name from nested structure
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journal = "Unknown"
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if "journalInfo" in metadata and "journal" in metadata["journalInfo"]:
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journal = metadata["journalInfo"]["journal"].get("title", "Unknown")
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elif "journalTitle" in metadata:
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journal = metadata["journalTitle"]
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doi = metadata.get("doi", "")
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pmid = metadata.get("pmid", "")
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pmcid = metadata.get("pmcid", "")
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for paper in output_data["paper_directories"]:
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metadata = paper.get("metadata", {})
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# Extract journal name from nested structure
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journal = ""
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if "journalInfo" in metadata and "journal" in metadata["journalInfo"]:
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journal = metadata["journalInfo"]["journal"].get("title", "")
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elif "journalTitle" in metadata:
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journal = metadata["journalTitle"]
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row = {
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"ID": paper["directory"],
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"Title": metadata.get("title", ""),
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"Authors": metadata.get("authorString", ""),
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"Journal": metadata.get("journalTitle", ""),
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"Journal": journal,
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"DOI": metadata.get("doi", ""),
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"PMID": metadata.get("pmid", ""),
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"PMCID": metadata.get("pmcid", ""),

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