charles
954f2f50d8
- Add RAG capabilities using LlamaIndex and ChromaDB - Implement RAGManager for PHB indexing and retrieval - Integrate RAG pipeline into orchestrator to trigger queries based on extracted entities - Update TUI to include a 3-column layout with a real-time Context Pane - Define ContextUpdate data models in src/llm/models.py - Update requirements.txt with new dependencies
99 lines
2.6 KiB
Python
99 lines
2.6 KiB
Python
import os
|
|
|
|
from reportlab.pdfgen import canvas
|
|
|
|
from src.rag.manager import RAGManager
|
|
|
|
|
|
def create_dummy_phb(pdf_path: str):
|
|
"""
|
|
Creates a dummy PDF file to simulate the Player's Handbook for verification.
|
|
"""
|
|
print(f"Creating dummy PHB at {pdf_path}...")
|
|
c = canvas.Canvas(pdf_path)
|
|
|
|
# Page 1: Fireball
|
|
c.drawString(100, 750, "Fireball")
|
|
c.drawString(
|
|
100,
|
|
730,
|
|
"A bright streak flashes from your pointing finger to a point you choose within range.",
|
|
)
|
|
c.drawString(
|
|
100,
|
|
710,
|
|
"Each creature in a 20-foot-radius sphere centered on that point must make a Dexterity saving throw.",
|
|
)
|
|
c.showPage()
|
|
|
|
# Page 2: Grappling
|
|
c.drawString(100, 750, "Grappling")
|
|
c.drawString(
|
|
100,
|
|
730,
|
|
"Grappling is a special option available to any attack that hits with a melee attack.",
|
|
)
|
|
c.drawString(
|
|
100,
|
|
710,
|
|
"A creature is grappled if it is the target of the grapple attack and the attack hits.",
|
|
)
|
|
c.showPage()
|
|
|
|
# Page 3: General Rules
|
|
c.drawString(100, 750, "General Rules")
|
|
c.drawString(
|
|
100,
|
|
730,
|
|
"Combat is resolved in rounds, and each round represents 6 seconds of in-game time.",
|
|
)
|
|
c.showPage()
|
|
|
|
c.save()
|
|
print(f"Dummy PHB created successfully at {pdf_path}")
|
|
|
|
|
|
def test_rag():
|
|
pdf_path = "data/phb_dummy.pdf"
|
|
create_dummy_phb(pdf_path)
|
|
|
|
# Initialize RAG Manager
|
|
rag = RAGManager(persist_dir="data/rag_index_test")
|
|
|
|
# Task 2.2: Ingest PDF
|
|
print("\nTesting Ingestion...")
|
|
rag.ingest_pdf(pdf_path)
|
|
|
|
# Task 2.3: Retrieve Logic
|
|
print("\nTesting Retrieval...")
|
|
|
|
# Test 1: Fireball
|
|
query1 = "What is Fireball?"
|
|
results1 = rag.retrieve(query1)
|
|
print(f"Query: {query1}")
|
|
for res in results1:
|
|
print(f"Source: {res.source} | Snippet: {res.snippet[:100]}...")
|
|
|
|
assert len(results1) > 0, "Should have retrieved at least one result for 'Fireball'"
|
|
assert "Fireball" in results1[0].snippet, "The top result should contain 'Fireball'"
|
|
|
|
# Test 2: Grappling
|
|
query2 = "How does grappling work?"
|
|
results2 = rag.retrieve(query2)
|
|
print(f"Query: {query2}")
|
|
for res in results2:
|
|
print(f"Source: {res.source} | Snippet: {res.snippet[:100]}...")
|
|
|
|
assert len(results2) > 0, (
|
|
"Should have retrieved at least one result for 'Grappling'"
|
|
)
|
|
assert "Grappling" in results2[0].snippet, (
|
|
"The top result should contain 'Grappling'"
|
|
)
|
|
|
|
print("\n✅ RAG Verification Successful!")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
test_rag()
|