From 70f25a7d8cefa22148dd0b2155a273bc751786e3 Mon Sep 17 00:00:00 2001 From: Matt Welsh Date: Tue, 19 Nov 2024 10:01:06 -0800 Subject: [PATCH] Add streaming support and tests for query-server. (#1027) * Adding streaming support to queryserver. * Add unit test. * Linting. * Fix typing. * Update dependencies and logging. * Fix poetry lock. * PR comments. --- apps/query-server/poetry.lock | 30 +- apps/query-server/pyproject.toml | 1 + apps/query-server/queryserver/main.py | 210 +++++++- .../queryserver/tests/test_queryserver.py | 182 +++++++ apps/query-server/queryserver/util.py | 39 -- poetry.lock | 481 +++++++++++++++++- pyproject.toml | 1 + 7 files changed, 873 insertions(+), 71 deletions(-) create mode 100644 apps/query-server/queryserver/tests/test_queryserver.py delete mode 100644 apps/query-server/queryserver/util.py diff --git a/apps/query-server/poetry.lock b/apps/query-server/poetry.lock index 45a7647f1..ce7ed2172 100644 --- a/apps/query-server/poetry.lock +++ b/apps/query-server/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. [[package]] name = "aiohappyeyeballs" @@ -6028,11 +6028,6 @@ files = [ {file = "scikit_learn-1.5.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f60021ec1574e56632be2a36b946f8143bf4e5e6af4a06d85281adc22938e0dd"}, {file = "scikit_learn-1.5.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:394397841449853c2290a32050382edaec3da89e35b3e03d6cc966aebc6a8ae6"}, {file = "scikit_learn-1.5.2-cp312-cp312-win_amd64.whl", hash = "sha256:57cc1786cfd6bd118220a92ede80270132aa353647684efa385a74244a41e3b1"}, - {file = "scikit_learn-1.5.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e9a702e2de732bbb20d3bad29ebd77fc05a6b427dc49964300340e4c9328b3f5"}, - {file = "scikit_learn-1.5.2-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:b0768ad641981f5d3a198430a1d31c3e044ed2e8a6f22166b4d546a5116d7908"}, - {file = "scikit_learn-1.5.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:178ddd0a5cb0044464fc1bfc4cca5b1833bfc7bb022d70b05db8530da4bb3dd3"}, - {file = "scikit_learn-1.5.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f7284ade780084d94505632241bf78c44ab3b6f1e8ccab3d2af58e0e950f9c12"}, - {file = "scikit_learn-1.5.2-cp313-cp313-win_amd64.whl", hash = "sha256:b7b0f9a0b1040830d38c39b91b3a44e1b643f4b36e36567b80b7c6bd2202a27f"}, {file = "scikit_learn-1.5.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:757c7d514ddb00ae249832fe87100d9c73c6ea91423802872d9e74970a0e40b9"}, {file = "scikit_learn-1.5.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:52788f48b5d8bca5c0736c175fa6bdaab2ef00a8f536cda698db61bd89c551c1"}, {file = "scikit_learn-1.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:643964678f4b5fbdc95cbf8aec638acc7aa70f5f79ee2cdad1eec3df4ba6ead8"}, @@ -6321,6 +6316,25 @@ files = [ {file = "soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb"}, ] +[[package]] +name = "sse-starlette" +version = "2.1.3" +description = "SSE plugin for Starlette" +optional = false +python-versions = ">=3.8" +files = [ + {file = "sse_starlette-2.1.3-py3-none-any.whl", hash = "sha256:8ec846438b4665b9e8c560fcdea6bc8081a3abf7942faa95e5a744999d219772"}, + {file = "sse_starlette-2.1.3.tar.gz", hash = "sha256:9cd27eb35319e1414e3d2558ee7414487f9529ce3b3cf9b21434fd110e017169"}, +] + +[package.dependencies] +anyio = "*" +starlette = "*" +uvicorn = "*" + +[package.extras] +examples = ["fastapi"] + [[package]] name = "stack-data" version = "0.6.3" @@ -6377,7 +6391,7 @@ typing = ["mypy (>=1.4)", "rich", "twisted"] [[package]] name = "sycamore-ai" -version = "0.1.26" +version = "0.1.27" description = "Sycamore is an LLM-powered semantic data preparation system for building search applications." optional = false python-versions = ">=3.9,<3.13" @@ -7766,4 +7780,4 @@ testing = ["coverage[toml]", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.13" -content-hash = "7f54bd4c65c3b6ec42ef1949fd0379b46a0925b14f758eab89b0298c56368099" +content-hash = "1492b8904cd43ecafc8aa3b38eb63f3591824642fcdd32710f09930ec1440022" diff --git a/apps/query-server/pyproject.toml b/apps/query-server/pyproject.toml index 5db0d5700..0f036fd5a 100644 --- a/apps/query-server/pyproject.toml +++ b/apps/query-server/pyproject.toml @@ -10,6 +10,7 @@ python = ">=3.9,<3.13" sycamore-ai = { path = "../../lib/sycamore", develop = true, extras = ["opensearch", "local-inference"] } fastapi = { version = "^0.115.0", extras = ["standard"]} pydantic = "^2.9.2" +sse-starlette = "^2.1.3" [tool.poetry.group.dev.dependencies] black = "^24.4" diff --git a/apps/query-server/queryserver/main.py b/apps/query-server/queryserver/main.py index 4ab7af704..bf2af352d 100644 --- a/apps/query-server/queryserver/main.py +++ b/apps/query-server/queryserver/main.py @@ -3,23 +3,30 @@ # Run with: # poetry run fastapi dev queryserver/main.py +import asyncio +import logging import os import tempfile -from typing import Annotated, Any, List, Optional +import time +from typing import Annotated, Any, List, Optional, Union from fastapi import FastAPI, Path -from pydantic import BaseModel +from pydantic import BaseModel, model_validator +from sse_starlette.sse import EventSourceResponse +from sycamore import DocSet +from sycamore.data import Document, MetadataDocument from sycamore.query.client import SycamoreQueryClient from sycamore.query.logical_plan import LogicalPlan -from sycamore.query.result import SycamoreQueryResult from sycamore.query.schema import OpenSearchSchema -import queryserver.util as util +# This is the uvicorn general logger, the error name is misleading. +# https://github.com/encode/uvicorn/issues/562 +logger = logging.getLogger("uvicorn.error") app = FastAPI() - +# The query and LLM cache paths. CACHE_PATH = os.getenv("QUERYSERVER_CACHE_PATH", os.path.join(tempfile.gettempdir(), "queryserver_cache")) LLM_CACHE_PATH = os.getenv("QUERYSERVER_LLM_CACHE_PATH", os.path.join(tempfile.gettempdir(), "queryserver_llm_cache")) @@ -30,23 +37,55 @@ class Index(BaseModel): """Represents an index that can be queried.""" index: str + """The index name.""" + description: Optional[str] = None + """Description of the index.""" + index_schema: OpenSearchSchema + """The schema for this index.""" class Query(BaseModel): - """Query an index with a given natural language query string.""" + """Query an index with a given natural language query string. One of 'query' or 'plan' must be provided.""" - query: str index: str + """The index to query.""" + + query: Optional[str] = None + """The natural language query to run. if specified, `plan` must not be set.""" + + plan: Optional[LogicalPlan] = None + """The logical query plan to run. If specified, `query` must not be set.""" + + stream: bool = False + """If true, query results will be streamed back to the client as they are generated.""" + + @model_validator(mode="after") + def check_not_both_query_and_plan(self): + if self.query is not None and self.plan is not None: + raise ValueError("query and plan cannot both be specified") + if self.query is None and self.plan is None: + raise ValueError("one of query or plan is required") + return self class QueryResult(BaseModel): - """Result of a query.""" + """The result of a non-streaming query.""" + + query_id: str + """The unique ID of the query operation.""" plan: LogicalPlan + """The logical query plan that was executed.""" + result: Any - retrieved_docs: list[str] + """The result of the query operation. Depending on the query, this could be a list of documents, + a single document, a string, an integer, etc. + """ + + retrieved_docs: List[str] + """A list of document paths for the documents retrieved by the query.""" @app.get("/v1/indices") @@ -54,9 +93,10 @@ async def list_indices() -> List[Index]: """List all available indices.""" retval = [] - indices = util.get_opensearch_indices() + # Exclude the 'internal' indices that start with a dot. + indices = {x for x in sqclient.get_opensearch_indices() if not x.startswith(".")} for index in indices: - index_schema = util.get_schema(sqclient, index) + index_schema = sqclient.get_opensearch_schema(index) retval.append(Index(index=index, index_schema=index_schema)) return retval @@ -67,7 +107,7 @@ async def get_index( ) -> Index: """Return details on the given index.""" - schema = util.get_schema(sqclient, index) + schema = sqclient.get_opensearch_schema(index) return Index(index=index, index_schema=schema) @@ -75,21 +115,145 @@ async def get_index( async def generate_plan(query: Query) -> LogicalPlan: """Generate a query plan for the given query, but do not run it.""" - plan = sqclient.generate_plan(query.query, query.index, util.get_schema(sqclient, query.index)) + if query.query is None: + raise ValueError("query is required") + if query.plan is not None: + raise ValueError("plan must not be specified") + + plan = sqclient.generate_plan(query.query, query.index, sqclient.get_opensearch_schema(query.index)) return plan -@app.post("/v1/plan/run") -async def run_plan(plan: LogicalPlan) -> SycamoreQueryResult: - """Run the provided query plan.""" +def doc_to_json(doc: Document) -> Optional[dict[str, Any]]: + """Render a Document as a JSON object. Only external properties and truncated text_representation + are included. Returns None for MetadataDocuments.""" + + NUM_TEXT_CHARS_GENERATE = 1024 + + if isinstance(doc, MetadataDocument): + return None + + props_dict = {} + props_dict.update(doc.properties) + props_dict.pop("_schema", None) + props_dict.pop("_schema_class", None) + props_dict.pop("_doc_source", None) + props_dict["text_representation"] = ( + doc.text_representation[:NUM_TEXT_CHARS_GENERATE] if doc.text_representation is not None else None + ) + return props_dict + + +async def run_query_stream(query: Query) -> EventSourceResponse: + """Streaming version of run_query. Returns a stream of results as they are generated.""" + + async def query_runner(): + try: + plan = query.plan + if plan is None: + logger.info(f"Generating plan for {query.index}: {query.query}") + yield { + "event": "status", + "data": "Generating plan", + } + await asyncio.sleep(0.1) + plan = sqclient.generate_plan(query.query, query.index, sqclient.get_opensearch_schema(query.index)) + logger.info(f"Generated plan: {plan}") + # Don't want to return these through the API. + plan.llm_plan = None + plan.llm_prompt = None + yield { + "event": "plan", + "data": plan.model_dump_json(), + } + await asyncio.sleep(0.1) + logger.info("Running plan") + yield { + "event": "status", + "data": "Running plan", + } + await asyncio.sleep(0.1) + sqresult = sqclient.run_plan(plan) + t1 = time.time() + num_results = 0 + if isinstance(sqresult.result, DocSet): + logger.info("Got DocSet result") + for doc in sqresult.result.take_all(): + rendered = doc_to_json(doc) + logger.debug(f"Doc: {rendered}") + if rendered is not None: + num_results += 1 + yield { + "event": "result_doc", + "data": rendered, + } + await asyncio.sleep(0.1) + else: + num_results += 1 + yield { + "event": "result", + "data": sqresult.result, + } + await asyncio.sleep(0.1) + + for doc in sqresult.retrieved_docs(): + yield { + "event": "retrieved_doc", + "data": doc, + } + await asyncio.sleep(0.1) + + t2 = time.time() + logger.info(f"Finished query in {t2 - t1:.2f} seconds with {num_results} results") + yield { + "event": "status", + "data": f"Query complete - {num_results} results in {t2 - t1:.2f} seconds", + } + await asyncio.sleep(0.1) + except asyncio.CancelledError: + logger.info("Disconnected from client") + + return EventSourceResponse(query_runner()) + + +@app.post("/v1/query", response_model=None) +async def run_query(query: Query) -> Union[EventSourceResponse, QueryResult]: + """Run the given query. + + If the `stream` parameter is set to true, the result will be streamed back to the client as a series of SSE events. + Otherwise, the result will be returned as a QueryResult object. + """ + + logger.info(f"Running query: {query}") + + if query.stream: + return await run_query_stream(query) + + if query.plan is None: + assert query.query is not None + logger.info(f"Generating plan for {query.index}: {query.query}") + plan = sqclient.generate_plan(query.query, query.index, sqclient.get_opensearch_schema(query.index)) + logger.info(f"Generated plan: {plan}") + else: + plan = query.plan - return sqclient.run_plan(plan) + sqresult = sqclient.run_plan(plan) + returned_plan = sqresult.plan + # Don't want to return these through the API. + returned_plan.llm_plan = None + returned_plan.llm_prompt = None -@app.post("/v1/query") -async def run_query(query: Query) -> QueryResult: - """Generate a plan for the given query, run it, and return the result.""" + query_result = QueryResult(query_id=sqresult.query_id, plan=returned_plan, result=[], retrieved_docs=[]) - plan = sqclient.generate_plan(query.query, query.index, util.get_schema(sqclient, query.index)) - sqresult = sqclient.run_plan(plan) - return QueryResult(plan=sqresult.plan, result=sqresult.result, retrieved_docs=sqresult.retrieved_docs()) + if isinstance(sqresult.result, DocSet): + for doc in sqresult.result.take_all(): + rendered = doc_to_json(doc) + logger.debug(f"Doc: {rendered}") + if rendered is not None: + query_result.result.append(rendered) + else: + query_result.result = sqresult.result + + query_result.retrieved_docs = sqresult.retrieved_docs() + return query_result diff --git a/apps/query-server/queryserver/tests/test_queryserver.py b/apps/query-server/queryserver/tests/test_queryserver.py new file mode 100644 index 000000000..d0fcd6e25 --- /dev/null +++ b/apps/query-server/queryserver/tests/test_queryserver.py @@ -0,0 +1,182 @@ +import json +from unittest.mock import MagicMock, patch + +import pytest +from fastapi.testclient import TestClient + +from queryserver.main import app, Query +from sycamore.query.logical_plan import LogicalPlan +from sycamore.query.result import SycamoreQueryResult +from sycamore.query.schema import OpenSearchSchema, OpenSearchSchemaField + + +@pytest.fixture +def test_client(): + return TestClient(app) + + +@pytest.fixture +def mock_schema(): + return OpenSearchSchema(fields={"text": OpenSearchSchemaField(field_type="string")}) + + +@pytest.fixture +def mock_indices(): + return ["test_index1", "test_index2"] + + +def test_list_indices(test_client, mock_schema, mock_indices): + with patch("queryserver.main.sqclient.get_opensearch_indices", return_value=mock_indices), patch( + "queryserver.main.sqclient.get_opensearch_schema", return_value=mock_schema + ): + response = test_client.get("/v1/indices") + assert response.status_code == 200 + + indices = response.json() + assert len(indices) == 2 + assert {index["index"] for index in indices} == {"test_index1", "test_index2"} + assert indices[0]["index_schema"] == mock_schema.model_dump() + assert indices[1]["index_schema"] == mock_schema.model_dump() + + +def test_get_index(test_client, mock_schema): + with patch("queryserver.main.sqclient.get_opensearch_schema", return_value=mock_schema): + response = test_client.get("/v1/index/test_index1") + assert response.status_code == 200 + + index = response.json() + assert index["index"] == "test_index1" + assert index["index_schema"] == mock_schema.model_dump() + + +def test_generate_plan(test_client, mock_schema): + mock_plan = LogicalPlan(query="test query", result_node=1, nodes={}) + with patch("queryserver.main.sqclient.generate_plan", return_value=mock_plan): + with patch("queryserver.main.sqclient.get_opensearch_schema", return_value=mock_schema): + query = Query(query="test query", index="test_index") + response = test_client.post("/v1/plan", json=query.model_dump()) + + assert response.status_code == 200 + assert response.json() == mock_plan.model_dump() + + +def test_generate_plan_with_no_query(test_client): + response = test_client.post("/v1/plan", json={}) + assert response.status_code == 422 + + +def test_generate_plan_with_plan(test_client): + response = test_client.post("/v1/plan", json={"query": "test query", "plan": "test plan"}) + assert response.status_code == 422 + + +def test_query_with_no_query_or_plan(test_client): + response = test_client.post("/v1/query", json={}) + assert response.status_code == 422 + response = test_client.post("/v1/query", json={"stream": True}) + assert response.status_code == 422 + + +def test_query_with_query_and_plan(test_client): + response = test_client.post("/v1/query", json={"query": "test query", "plan": "test plan"}) + assert response.status_code == 422 + response = test_client.post("/v1/query", json={"query": "test query", "plan": "test plan", "stream": True}) + assert response.status_code == 422 + + +def test_run_plan(test_client): + mock_plan = LogicalPlan(query="test query", result_node=1, nodes={}) + + mock_result = MagicMock(spec=SycamoreQueryResult) + mock_result.query_id = "test_id" + mock_result.plan = mock_plan + mock_result.result = "test result" + mock_result.retrieved_docs.return_value = ["doc1.txt", "doc2.txt"] + + with patch("queryserver.main.sqclient.run_plan", return_value=mock_result): + query = Query(plan=mock_plan, index="test_index1") + response = test_client.post("/v1/query", json=query.model_dump()) + + assert response.status_code == 200 + result = response.json() + assert result["query_id"] == "test_id" + assert result["plan"] == mock_plan.model_dump() + assert result["result"] == "test result" + assert set(result["retrieved_docs"]) == {"doc1.txt", "doc2.txt"} + + +def test_run_query(test_client, mock_schema): + mock_plan = LogicalPlan(query="test query", result_node=1, nodes={}) + + class MockSycamoreQueryResult(SycamoreQueryResult): + def retrieved_docs(self): + return {"doc1.txt", "doc2.txt"} + + mock_result = MagicMock(spec=SycamoreQueryResult) + mock_result.query_id = "test_id" + mock_result.plan = mock_plan + mock_result.result = "test result" + mock_result.retrieved_docs.return_value = ["doc1.txt", "doc2.txt"] + + with patch("queryserver.main.sqclient.generate_plan", return_value=mock_plan), patch( + "queryserver.main.sqclient.run_plan", return_value=mock_result + ), patch( + "queryserver.main.sqclient.get_opensearch_schema", + return_value=mock_schema, + ): + + query = Query(query="test query", index="test_index") + response = test_client.post("/v1/query", json=query.model_dump()) + + assert response.status_code == 200 + result = response.json() + assert result["plan"] == mock_plan.model_dump() + assert result["result"] == "test result" + assert set(result["retrieved_docs"]) == {"doc1.txt", "doc2.txt"} + + +def test_run_query_stream(test_client, mock_schema): + mock_plan = LogicalPlan(query="test query", result_node=1, nodes={}) + + class MockSycamoreQueryResult(SycamoreQueryResult): + def retrieved_docs(self): + return {"doc1.txt", "doc2.txt"} + + mock_result = MagicMock(spec=SycamoreQueryResult) + mock_result.query_id = "test_id" + mock_result.plan = mock_plan + mock_result.result = "test result" + mock_result.retrieved_docs.return_value = ["doc1.txt", "doc2.txt"] + + with patch("queryserver.main.sqclient.generate_plan", return_value=mock_plan), patch( + "queryserver.main.sqclient.run_plan", return_value=mock_result + ), patch( + "queryserver.main.sqclient.get_opensearch_schema", + return_value=mock_schema, + ): + + query = Query(query="test query", index="test_index", stream=True) + response = test_client.post("/v1/query", json=query.model_dump()) + + assert response.status_code == 200 + retrieved_docs = [] + event = None + data = None + for line in response.iter_lines(): + if line.startswith("event: "): + event = line[7:] + elif line.startswith("data: "): + data = line[6:] + if event is not None and data is not None: + if event == "plan": + assert json.loads(data) == mock_plan.model_dump() + elif event == "result": + assert data == "test result" + elif event == "retrieved_doc": + retrieved_docs.append(data) + elif event != "status": + raise ValueError(f"Unknown event: {event}") + event = None + data = None + + assert set(retrieved_docs) == {"doc1.txt", "doc2.txt"} diff --git a/apps/query-server/queryserver/util.py b/apps/query-server/queryserver/util.py deleted file mode 100644 index 9251e6742..000000000 --- a/apps/query-server/queryserver/util.py +++ /dev/null @@ -1,39 +0,0 @@ -import logging -from typing import Any, Optional, Set - -import ray - -from sycamore.executor import _ray_logging_setup -from sycamore.query.client import SycamoreQueryClient -from sycamore.query.logical_plan import LogicalPlan -from sycamore.query.result import SycamoreQueryResult -from sycamore.query.schema import OpenSearchSchema - - -def ray_init(**ray_args): - if ray.is_initialized(): - return - - if "logging_level" not in ray_args: - ray_args.update({"logging_level": logging.INFO}) - if "runtime_env" not in ray_args: - ray_args["runtime_env"] = {} - if "worker_process_setup_hook" not in ray_args["runtime_env"]: - ray_args["runtime_env"]["worker_process_setup_hook"] = _ray_logging_setup - ray.init(**ray_args) - - -def get_schema(_client: SycamoreQueryClient, index: str) -> OpenSearchSchema: - return _client.get_opensearch_schema(index) - - -def generate_plan(_client: SycamoreQueryClient, query: str, index: str, examples: Optional[Any] = None) -> LogicalPlan: - return _client.generate_plan(query, index, get_schema(_client, index), examples=examples) - - -def run_plan(_client: SycamoreQueryClient, plan: LogicalPlan) -> SycamoreQueryResult: - return _client.run_plan(plan) - - -def get_opensearch_indices() -> Set[str]: - return {x for x in SycamoreQueryClient().get_opensearch_indices() if not x.startswith(".")} diff --git a/poetry.lock b/poetry.lock index f23844a60..909f30699 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1954,6 +1954,26 @@ files = [ {file = "distro-1.9.0.tar.gz", hash = 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