Updates

docs/components/indexer/COLLECTION.md

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+# Document Collection System
+
+## Overview
+
+The Document Collection System is a core component of the LN1 indexer that handles the gathering, processing, and initial organization of legal documents before they enter the validation pipeline.
+
+## Collection Components
+
+### Document Intake
+
+```python
+class DocumentIntake:
+    def __init__(self):
+        self.supported_formats = ['PDF', 'DOCX', 'TXT', 'HTML']
+        self.metadata_extractor = MetadataExtractor()
+        self.content_parser = ContentParser()
+```
+
+### Content Structure
+
+```typescript
+interface DocumentContent {
+    title: string;
+    content: string;
+    metadata: {
+        documentType: string;
+        jurisdiction: string;
+        dateCreated: timestamp;
+        version: string;
+        hash: string;
+    }
+}
+```
+
+## Collection Process
+
+### Document Reception
+
+1. **Initial Validation**
+   - Format verification
+   - Size constraints
+   - Structure validation
+   - Duplicate detection
+
+2. **Metadata Extraction**
+   - Document properties
+   - Source information
+   - Classification data
+   - Version control
+
+### Processing Pipeline
+
+```python
+class CollectionPipeline:
+    async def process_document(self, document):
+        validated = await self.validate_format(document)
+        parsed = await self.parse_content(validated)
+        enriched = await self.enrich_metadata(parsed)
+        return await self.prepare_for_indexing(enriched)
+```
+
+## Storage Integration
+
+### Temporary Storage
+
+- Document buffer system
+- Processing queue
+- Failed document handling
+- Retry mechanisms
+
+### Permanent Storage
+
+```python
+class StorageManager:
+    def store_document(self, document):
+        return {
+            'location': self.determine_storage_location(document),
+            'replicas': self.calculate_replica_count(document),
+            'retention': self.get_retention_policy(document)
+        }
+```
+
+## Quality Control
+
+### Validation Rules
+
+- Document completeness
+- Format consistency
+- Metadata accuracy
+- Content integrity
+
+### Error Handling
+
+```python
+class CollectionError:
+    def handle_error(self, error_type, document):
+        return {
+            'error': error_type,
+            'document_id': document.id,
+            'timestamp': current_timestamp(),
+            'resolution': self.get_resolution_steps(error_type)
+        }
+```
+
+## Performance Optimization
+
+### Batch Processing
+
+```python
+class BatchProcessor:
+    async def process_batch(self, documents):
+        sorted_docs = self.sort_by_priority(documents)
+        processed = await self.parallel_process(sorted_docs)
+        return await self.validate_batch_results(processed)
+```
+
+### Resource Management
+
+- CPU utilization
+- Memory management
+- Storage optimization
+- Network bandwidth
+
+## Integration Points
+
+### External Systems
+
+- Document management systems
+- Legal databases
+- Court filing systems
+- Enterprise systems
+
+### Internal Components
+
+```typescript
+interface ComponentIntegration {
+    indexer: 'Document indexing system',
+    validator: 'Content validation',
+    storage: 'Permanent storage',
+    api: 'External interfaces'
+}
+```
+
+## Monitoring
+
+### Collection Metrics
+
+```python
+class CollectionMonitor:
+    def collect_metrics(self):
+        return {
+            'documents_processed': self.count_processed(),
+            'processing_time': self.average_processing_time(),
+            'error_rate': self.calculate_error_rate(),
+            'queue_status': self.get_queue_metrics()
+        }
+```
+
+### Health Checks
+
+- System availability
+- Processing capacity
+- Error rates
+- Queue status
+
+## Security Measures
+
+### Document Security
+
+- Access control
+- Encryption at rest
+- Secure transmission
+- Audit logging
+
+### Compliance
+
+```python
+class ComplianceManager:
+    def ensure_compliance(self, document):
+        return {
+            'gdpr_compliant': self.check_gdpr_compliance(document),
+            'hipaa_compliant': self.check_hipaa_compliance(document),
+            'retention_policy': self.get_retention_requirements(document)
+        }
+```
+
+## Development Guidelines
+
+### Implementation Standards
+
+- Error handling patterns
+- Logging requirements
+- Performance benchmarks
+- Testing coverage
+
+### Code Examples
+
+```python
+# Example implementation of document collection
+class DocumentCollector:
+    async def collect_document(self, document):
+        try:
+            validated = await self.validate_document(document)
+            processed = await self.process_document(validated)
+            stored = await self.store_document(processed)
+            return await self.confirm_collection(stored)
+        except CollectionException as e:
+            await self.handle_collection_error(e)
+```