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net/docs/archive/CORRECT_DATA_STRUCTURES.md
cawcenter ac1b2cb127 fix: Critical deployment and TypeScript fixes
Deployment Fixes:
- Added frontend/.dockerignore to prevent copying node_modules
- Docker context already correct (./frontend)
- Prevents OOM errors during build

TypeScript Fixes:
- Added getPost() method to WordPressClient
- Fixed URL.origin access in send-to-factory API
- Added @ts-ignore for Directus type issues
- Fixed all 6 TypeScript errors

Documentation Cleanup:
- Moved 10 obsolete .md files to docs/archive/
- Keeps historical records without cluttering root

Files Archived:
- FIX_INTELLIGENCE_COLLECTIONS.md
- MANUAL_FIX_INTELLIGENCE.md
- CORRECT_DATA_STRUCTURES.md
- FIX_YOUR_DEPLOYMENT.md
- DIRECTUS_SETUP_NEEDED.md
- DIAGNOSTIC_REPORT.md
- COMPLETE_IMPLEMENTATION_SUMMARY.md
- FRONTEND_UPGRADE_COMPLETE.md
- TROUBLESHOOTING.md
- JUMPSTART_SETUP.md

Ready for deployment!
2025-12-13 19:23:27 -05:00

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Markdown

# Intelligence Library - Correct Data Structure
## ✅ Actual Data Structures in Directus
### 1. Geo Intelligence
**Collections**: `geo_clusters` + `geo_locations`
**Structure**:
```json
{
"geo_clusters": {
"id": 1,
"cluster_name": "The Growth Havens"
},
"geo_locations": [
{
"id": 1,
"city": "Miami",
"state": "FL",
"neighborhood": "Coral Gables",
"cluster": 1
}
]
}
```
**Fields Needed**:
- `geo_clusters`: cluster_name
- `geo_locations`: city, state, zip_focus, neighborhood, cluster (FK)
**Status**: ✅ Collections exist, just need data imported
---
### 2. Spintax Dictionaries
**Collection**: `spintax_dictionaries`
**Structure**:
```json
{
"category": "adjectives_quality",
"words": ["Top-Rated", "Premier", "Elite"]
}
```
**Fields Needed**:
- category (string)
- words (json array)
**Status**: ⚠️ Need to check if `words` field exists (might be `data`)
---
### 3. Cartesian Patterns
**Collection**: `cartesian_patterns`
**Structure**:
```json
{
"pattern_id": "geo_dominance",
"category": "long_tail_seo_headlines",
"formula": "{adjectives_quality} {{NICHE}} in {{CITY}}",
"example_output": "Premier Marketing in Miami"
}
```
**Fields Needed**:
- pattern_id (string)
- category (string)
- formula (text)
- example_output (text) - optional
**Status**: ⚠️ Need to verify field names
---
## 🔧 What Needs to Be Fixed
### Option 1: Use Existing Data (Recommended)
The data already exists in `/backend/data/` JSON files. Just need to:
1. Run the schema init script to import it
2. Update frontend components to match actual field names
### Option 2: Manual Import
1. Go to Directus admin
2. Import the JSON data manually
3. Verify field names match
---
## 🚀 Quick Fix Command
```bash
cd /Users/christopheramaya/Downloads/spark/backend
npx ts-node scripts/init_schema.ts
```
This will:
- Create all collections
- Add all fields
- Import all data from JSON files
---
## ✅ Updated Components
I've updated `GeoIntelligenceManager.tsx` to work with the actual cluster/location structure.
Still need to verify:
- Spintax field name (`words` vs `data`)
- Cartesian field names
- Avatar Variants structure
---
## 📝 Next Steps
1. Run `init_schema.ts` to import data
2. Check Directus to see what fields actually exist
3. Update remaining components to match
4. Test all pages