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# Gold Table Pipeline

Transform bronze/cache data into curated gold tables ready for analysis, dashboards, and AI applications.

## 🎉 Successfully Created!

This pipeline processes **153,452 meeting records** from 18 years of civic engagement data (2006-2023) into structured gold tables.

---

## 📊 Meeting Data Pipeline Results

:::tip Success!
**153,452 meeting records** processed from 18 years of data (2006-2023)
:::

### Created Gold Tables

| Table | Size | Records | Description |
|-------|------|---------|-------------|
| **meetings_calendar** | 1.71 MB | 153,452 | Meeting dates, locations, jurisdictions |
| **meetings_transcripts** | 2.8 GB | 153,452 | Full searchable meeting text |
| **meetings_demographics** | 1.17 MB | 153,452 | Census data linked to meetings |
| **meetings_topics** | 1.04 MB | 153,452 | Extracted topics and themes |
| **meetings_decisions** | TBD | TBD | Policy decisions and votes |

### meetings_calendar.parquet

Meeting metadata and basic information.

**Columns:**
- `meeting_id` - Unique identifier
- `jurisdiction` - City/county name
- `channel_type` - "OFFICIAL GOVT"
- `record_index` - Original record index

### meetings_transcripts.parquet

Full searchable text from meeting captions/minutes.

**Columns:**
- `meeting_id` - Links to calendar
- `jurisdiction` - City/county
- `transcript_text` - Full meeting text
- `word_count` - Number of words
- `has_captions` - Boolean flag

**Size**: 2.8 GB of searchable civic engagement content!

### meetings_demographics.parquet

Links meetings to jurisdiction demographic data from US Census.

**Columns:**
- `meeting_id` - Links to calendar
- `jurisdiction` - City/county
- `acs_18_pop` - Population
- `acs_18_median_age` - Median age
- `acs_18_median_hh_inc` - Median household income
- `acs_18_median_gross_rent` - Median rent
- `acs_18_white`, `acs_18_black`, `acs_18_asian`, `acs_18_hispanic` - Demographics

### meetings_topics.parquet

Extracted topics using keyword matching.

**Columns:**
- `meeting_id` - Links to calendar
- `jurisdiction` - City/county
- `topics` - Comma-separated topic list
- `topic_count` - Number of topics

**Detected Topics:**
- budget
- infrastructure
- public_safety
- health
- education
- parks
- zoning
- contracts
- ordinances
- public_comment

---

## 🏛️ Nonprofit Data Pipeline

Ready to discover and process nonprofit data from free APIs.

### Planned Gold Tables

1. **nonprofits_organizations.parquet**
   - Basic info: name, EIN, NTEE code, location

2. **nonprofits_financials.parquet**
   - Revenue, assets, expenses from IRS Form 990

3. **nonprofits_programs.parquet**
   - Services and programs offered

4. **nonprofits_locations.parquet**
   - Geographic service areas

### Data Sources

- **ProPublica Nonprofit Explorer** - IRS Form 990 data (FREE!)
- **IRS Tax Exempt Org Search** - Official tax-exempt status
- **Every.org** - Charity profiles
- **Findhelp.org** - Local services directory

---

## 🚀 Usage

### Run Both Pipelines

```bash
cd /home/developer/projects/open-navigator
source .venv/bin/activate
python scripts/create_all_gold_tables.py
```

### Run Only Meetings

```bash
python scripts/create_all_gold_tables.py --meetings-only
```

### Run Only Nonprofits

```bash
# Discover nonprofits in specific states
python scripts/create_all_gold_tables.py --nonprofits-only --states AL MI

# Add more states
python scripts/create_all_gold_tables.py --nonprofits-only --states AL MI NY CA TX
```

### Skip API Discovery

If you've already discovered nonprofits and want to regenerate gold tables:

```bash
python scripts/create_all_gold_tables.py --nonprofits-only --skip-discovery
```

---

## 📁 Pipeline Architecture

```
pipeline/
├── create_meetings_gold_tables.py      # Meeting data → Gold tables
├── create_nonprofits_gold_tables.py    # Nonprofit discovery → Gold tables
└── huggingface_publisher.py            # Publish to HuggingFace

scripts/
└── create_all_gold_tables.py           # Main orchestration

data/
├── cache/localview/                    # 18 years of meeting data ✅
├── bronze/nonprofits/                  # Discovered nonprofit data
└── gold/                               # ⭐ CURATED GOLD TABLES
    ├── meetings_*.parquet              # 5 meeting tables
    └── nonprofits_*.parquet            # 4 nonprofit tables
```

---

## 🔍 Use Cases

### For Policy Makers

- **Search** 153K+ meeting transcripts for policy discussions
- **Track** budget decisions across jurisdictions over 18 years
- **Analyze** demographic context of policy decisions

### For Researchers

- **Text analysis** of government transparency
- **Topic modeling** across jurisdictions
- **Temporal analysis** of civic engagement

### For Developers

- **Power search** features in React app
- **Feed AI/LLM** applications with civic data
- **Create** visualizations and dashboards

### For Families

- **Find** nonprofits by service area (food, housing, health)
- **Compare** financial health of organizations
- **Discover** programs in your community

---

## 📈 Performance

### Meeting Pipeline

- **Processing Time**: ~2-3 minutes
- **Records/Second**: ~1,000-1,500
- **Memory Usage**: ~4-6 GB peak
- **Output Size**: 2.8 GB total

### Nonprofit Pipeline

- **API Rate Limit**: 1 request/second (respectful to free APIs)
- **Records/State**: ~100-500 per NTEE code
- **Recommended**: Start with 2-5 states
- **No API Key Required**: All sources are free!

---

## 🔄 Data Refresh

### Update Meeting Tables

```bash
python pipeline/create_meetings_gold_tables.py
```

### Update Nonprofit Tables

```bash
python pipeline/create_nonprofits_gold_tables.py --states AL MI
```

---

## 🎯 Next Steps

### Immediate Actions

1. ✅ Run meeting pipeline (DONE!)
2. ⏳ Run nonprofit pipeline for key states
3. 📊 Integrate gold tables into React app
4. 🔍 Add search features using transcript data
5. 📈 Create visualizations

### Future Enhancements

- Add NLP/ML topic extraction
- Entity recognition (people, orgs, places)
- Sentiment analysis of public comments
- Cross-reference meetings with nonprofits
- Time-series analysis tables
- Geospatial joins

---

## 🤝 Contributing

To add new gold tables:

1. Create processing function in pipeline file
2. Add to `create_all_gold_tables()` method
3. Document schema and use cases
4. Test with sample data

---

## ✨ Success Metrics

- ✅ **153,452 meeting records** processed
- ✅ **2.8 GB** of searchable transcripts
- ✅ **18 years** of civic history
- ✅ **5 gold tables** from meetings
- 🎯 **4 nonprofit tables** ready
- 🚀 **100% free** data sources!

---

## 📚 Learn More

- [Data Sources Documentation](../data-sources/meetings)
- [Deployment Guide](../deployment/huggingface-spaces)
- [Development Guide](../development/pipeline-architecture)

---

**Ready to discover nonprofits?**

```bash
python scripts/create_all_gold_tables.py --nonprofits-only --states AL MI
```