import sys import os import copy import uvicorn import socket import logging import datetime from models.vectorizer import Vectorizer from models.prompt_search_engine import PromptSearchEngine from models.data_reader import load_prompts_from_jsonl from models.Query import Query, Query_Multiple, SearchResponse, SimilarPrompt, PromptVector, VectorResponse from decouple import config from fastapi import FastAPI, HTTPException, Depends, Body from sentence_transformers import SentenceTransformer prompt_path = r"C:\Users\jov2bg\Desktop\PromptSearch\search_engine\models\prompts_data.jsonl" app = FastAPI(title="Search Prompt Engine", description="API for prompt search", version="1.0") prompts = load_prompts_from_jsonl(prompt_path) search_engine = PromptSearchEngine() search_engine.add_prompts_to_vector_database(prompts) @app.get("/") def read_root(): return {"message": "Prompt Search Engine is running!"} @app.post("/search/") async def search_prompts(query: Query, k: int = 3): print(f'Prompt: {query}') similar_prompts, distances = search_engine.most_similar(query.prompt, top_k=k) print(f'Similar Prompts {similar_prompts}') print(f'Distances {distances}') print(40*'****') # Format the response response = [ SimilarPrompt(prompt=prompt, distance=float(distance)) for prompt, distance in zip(similar_prompts, distances) ] return SearchResponse(results=response) @app.post("/all_vectors_similarities/") async def all_vectors(query: Query): query_embedding = search_engine.model.encode([query.prompt]) # Encode the prompt to a vector all_similarities = search_engine.cosine_similarity(query_embedding, search_engine.index) print(f'Prompt: {query}') print(f'All Vector Similarities: {all_similarities}') print(40*'****') response = [ PromptVector(vector=index, distance=float(distance)) for index, distance in enumerate(all_similarities) ] return VectorResponse(results=response) if __name__ == "__main__": # Server Config # SERVER_HOST_IP = socket.gethostbyname(socket.gethostname()) SERVER_HOST_IP = socket.gethostbyname("localhost") # for local deployment SERVER_PORT = int(8084) uvicorn.run(app, host=SERVER_HOST_IP, port=SERVER_PORT)