import pytest import json from src.pipeline.core.pocket_flow import AsyncFlow from src.pipeline.core.utils import logger from src.pipeline.core import llm, es, nodes, utils @pytest.mark.asyncio async def test_embedding(): return await llm.init_client() await es.init_client() logger.debug("file to es") shared = { "files": [ "./files/山海经01.txt"], "documents": [], # [{text, file_name, file_type, uuid, embedding}] "index": "test_kb", } readNode = nodes.ReadDocumentsNode() chunkNode = nodes.ChunkDocumentsNode() embeddingNode = nodes.EmbeddingDocumentsNode() writeToESNode = nodes.WriteDocumentsToESNode() readNode >> chunkNode >> embeddingNode # >> writeToESNode flow = AsyncFlow(readNode) await flow.run_async(shared) logger.debug(json.dumps([{**x, "embedding":x["embedding"][:4]} for x in shared["documents"]], indent=4, ensure_ascii=False)) await llm.close_client() await es.close_client() @pytest.mark.asyncio async def test_search(): await llm.init_client() await es.init_client() logger.debug("search from es") shared = { "text": "哪里盛产金属矿物", "index": "test_kb", "top_k": 1, "results": [], # [{es_id, doc_id, title, type, created_at, score, content}] } embeddingNode = nodes.EmbeddingNode() searchNode = nodes.SearchFromESNode() embeddingNode >> searchNode flow = AsyncFlow(embeddingNode) await flow.run_async(shared) logger.debug(json.dumps({**shared, "embedding": shared["embedding"][:4]}, indent=4, ensure_ascii=False)) res = await llm.client.chat( messages=[ {"role": "system", "content": utils.rag_system_prompt()}, {"role": "system", "content": utils.rag_user_prompt(shared["text"], shared["results"])}, # {"role": "system", "content": "你好"}, ] ) logger.debug(res) await llm.close_client() await es.close_client()