da9070ecf7
Remove deprecated storage backends and Kubernetes deployment configuration: - Delete unused storage implementations: FAISS, JSON, Memgraph, Milvus, MongoDB, Nano Vector DB, Neo4j, NetworkX, Qdrant, Redis - Remove Kubernetes deployment manifests and installation scripts - Delete legacy examples for deprecated backends - Consolidate to PostgreSQL-only storage backend Streamline dependencies and add new capabilities: - Remove deprecated code documentation and migration guides - Add full-text search caching layer with FTS cache module - Implement metrics collection and monitoring pipeline - Add explain and metrics API routes - Simplify configuration with PostgreSQL-focused setup Update documentation and configuration: - Rewrite README to focus on supported features - Update environment and configuration examples - Remove Kubernetes-specific documentation - Add new utility scripts for PDF uploads and pipeline monitoring
29 lines
977 B
Python
29 lines
977 B
Python
#!/usr/bin/env python3
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"""Upload PDFs to LightRAG server."""
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import os
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import sys
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from pathlib import Path
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import requests
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PDF_DIR = Path("documents/questions/docs/pdf")
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API_URL = "http://localhost:9621/documents/upload"
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def upload_pdfs():
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pdf_files = list(PDF_DIR.glob("*.pdf"))
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print(f"Found {len(pdf_files)} PDFs to upload")
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for i, pdf_path in enumerate(pdf_files, 1):
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print(f"[{i}/{len(pdf_files)}] Uploading: {pdf_path.name}")
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try:
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with open(pdf_path, 'rb') as f:
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files = {'file': (pdf_path.name, f, 'application/pdf')}
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response = requests.post(API_URL, files=files, timeout=120)
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result = response.json()
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print(f" -> {result.get('status', 'unknown')}: {result.get('message', 'No message')[:80]}")
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except Exception as e:
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print(f" -> ERROR: {e}")
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print("\nDone! Checking processing status...")
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if __name__ == "__main__":
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upload_pdfs()
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