Files
RAG/main.py

49 lines
15 KiB
Python

from src.impl.datastore import Datastore, DataItem
from src.impl.indexer import Indexer
from src.impl.retriever import Retriever
from src.impl.response_generator import ResponseGenerator
TEST_PATH = "data/source"
def main():
query_graphiste = "Quel est le salaire brut mensuel du graphiste ?"
query_graphiste_en = "What is the monthly gross salary of the graphist designer ?"
query_tshirt = "Quel est le prix du Tshirt rouge avec le motif1 ?"
print("Testing indexer")
indexer = Indexer()
items_from_indexer = indexer.index(["data/source/informations_entreprise.pdf",
"data/source/bilan_comptable_2024.csv",
"data/source/employes.csv",
"data/source/facture_14_03_2025.pdf",
"data/source/fournisseurs.csv",
"data/source/historique_commandes.csv",
"data/source/planning_production_mars_2025.csv",
"data/source/stock_tshirt.csv"
])
print("Testing datastore")
datastore = Datastore()
print(f"Model's maximum sequence length:{datastore.model.max_seq_length}")
test_vector = datastore.create_vector("test")
data_item_to_test = DataItem(
content = "Data item being tested",
source = "from a test"
)
datastore.add_items([data_item_to_test])
datastore.add_items(items_from_indexer)
print(datastore.search_datastore(("Data item being tested")))
print(datastore.search_datastore("Red t-shirt"))
print("Testing retriever")
retriever = Retriever(datastore= datastore)
#print(retriever.search_retriever(query_graphiste))
print("Testing Response generator")
response_generator = ResponseGenerator()
print(response_generator.generate_response(query_graphiste, retriever.search_retriever(query_graphiste)))
print("fin")
exit
main()