From 53f0e3870dcb54a2c413b41a43f71340aac9a7ae Mon Sep 17 00:00:00 2001 From: Ethan Steininger Date: Mon, 18 Mar 2024 18:00:58 -0400 Subject: [PATCH] return token size in embedding controller --- src/api/poetry.lock | 3060 ++++++++++++++++++++++++++++- src/api/pyproject.toml | 9 +- src/inference/embed/controller.py | 10 +- src/inference/embed/model.py | 13 +- src/inference/embed/service.py | 7 +- src/parsers/_utils.py | 16 + src/parsers/files/service.py | 16 +- src/parsers/files/text/service.py | 16 +- 8 files changed, 3013 insertions(+), 134 deletions(-) create mode 100644 src/parsers/_utils.py diff --git a/src/api/poetry.lock b/src/api/poetry.lock index 0327caa..858041e 100644 --- a/src/api/poetry.lock +++ b/src/api/poetry.lock @@ -186,6 +186,16 @@ files = [ {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"}, ] +[[package]] +name = "antlr4-python3-runtime" +version = "4.9.3" +description = "ANTLR 4.9.3 runtime for 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"pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] + [metadata] lock-version = "2.0" -python-versions = ">=3.10,<3.13" -content-hash = "62ec985dcc2268e04fceab5f2d0e774ea982e3d2a36dd750ad817d93ddfdd2bd" +python-versions = ">=3.10,<3.12" +content-hash = "e4c62bec822fe012b031cfac1a1a1b9926c5cdd664c7e1096e3223c5bfe73080" diff --git a/src/api/pyproject.toml b/src/api/pyproject.toml index ed4b81d..f885070 100644 --- a/src/api/pyproject.toml +++ b/src/api/pyproject.toml @@ -6,12 +6,12 @@ authors = ["Ethan Steininger "] readme = "README.md" [tool.poetry.dependencies] -python = ">=3.10,<3.13" +python = ">=3.10,<3.12" fastapi = "^0.110.0" uvicorn = "^0.28.0" haikunator = "^2.1.0" -magika = "0.5.1" -cryptography = "^42.0.5" +magika = "<0.5.1" +cryptography = "42.0.2" kombu = "^5.3.5" motor = "^3.3.2" redis = "^5.0.3" @@ -22,6 +22,9 @@ httpx = "^0.27.0" pymongo = "4.6.0" boto3 = "1.33.1" aioboto3 = "12.1.0" +openai = "^1.14.1" +psycopg2 = "^2.9.9" +unstructured = {extras = ["all-docs"], version = "^0.12.6"} [build-system] requires = ["poetry-core"] diff --git a/src/inference/embed/controller.py b/src/inference/embed/controller.py index 23335b6..33262eb 100644 --- a/src/inference/embed/controller.py +++ b/src/inference/embed/controller.py @@ -3,8 +3,8 @@ from .model import ( EmbeddingRequest, EmbeddingResponse, - DimensionRequest, - DimensionsResponse, + ConfigsRequest, + ConfigsResponse, ) from embed.service import EmbeddingHandler @@ -12,10 +12,10 @@ router = APIRouter() -@router.get("/dimensions", response_model=DimensionsResponse) -async def get_dimensions(data: DimensionRequest): +@router.get("/configs", response_model=ConfigsResponse) +async def get_dimensions(data: ConfigsRequest): embedding_handler = EmbeddingHandler(data.modality, data.model) - return embedding_handler.get_dimensions() + return embedding_handler.get_configs() @router.get("/", response_model=EmbeddingResponse) diff --git a/src/inference/embed/model.py b/src/inference/embed/model.py index b47a3d2..294d402 100644 --- a/src/inference/embed/model.py +++ b/src/inference/embed/model.py @@ -10,11 +10,17 @@ class Modality(Enum): TEXT = "text" -class DimensionRequest(BaseModel): +class ConfigsRequest(BaseModel): modality: Optional[Modality] = "text" model: Optional[str] = "sentence-transformers/all-MiniLM-L6-v2" +class ConfigsResponse(BaseModel): + dimensions: int + elapsed_time: float + token_size: int + + class EmbeddingRequest(BaseModel): input: str modality: Optional[Modality] = "text" @@ -24,8 +30,3 @@ class EmbeddingRequest(BaseModel): class EmbeddingResponse(BaseModel): embedding: List[float] elapsed_time: float - - -class DimensionsResponse(BaseModel): - dimensions: int - elapsed_time: float diff --git a/src/inference/embed/service.py b/src/inference/embed/service.py index 9c08a05..0a70753 100644 --- a/src/inference/embed/service.py +++ b/src/inference/embed/service.py @@ -19,11 +19,13 @@ def encode(self, data): "elapsed_time": (time.time() * 1000) - start_time, } - def get_dimensions(self): + def get_configs(self): start_time = time.time() * 1000 dimensions = self.service.get_dimensions() + token_size = self.service.get_token_size() return { "dimensions": dimensions, + "token_size": token_size, "elapsed_time": (time.time() * 1000) - start_time, } @@ -59,3 +61,6 @@ def encode(self, sentences): def get_dimensions(self): return self.model.config.hidden_size + + def get_token_size(self): + return self.tokenizer.model_max_length diff --git a/src/parsers/_utils.py b/src/parsers/_utils.py new file mode 100644 index 0000000..b06f36c --- /dev/null +++ b/src/parsers/_utils.py @@ -0,0 +1,16 @@ +from fastapi.responses import JSONResponse +from typing import Optional + + +def create_json_response( + success: bool, status: int, error: str, response: Optional[str] +): + return JSONResponse( + content={ + "success": success, + "status": status, + "error": error, + "response": response, + }, + status_code=status, + ) diff --git a/src/parsers/files/service.py b/src/parsers/files/service.py index 9d19fda..eff6302 100644 --- a/src/parsers/files/service.py +++ b/src/parsers/files/service.py @@ -6,7 +6,9 @@ from .utils import generate_filename_from_url, get_filename_from_cd from .text.service import TextService + from _exceptions import InternalServerError, NotFoundError, BadRequestError +from _utils import create_json_response files = { "text": ["pdf", "docx", "txt", "md", "html", "xml"], @@ -47,6 +49,12 @@ def detect_filetype(self, contents): try: m = Magika() res = m.identify_bytes(contents) + # { + # "label": "pdf", + # "description": "PDF document", + # "mime_type": "application/pdf", + # "group": "document", + # } data = { "label": res.output.ct_label, "description": res.output.description, @@ -63,15 +71,15 @@ async def parse_file(self): # Download file into memory contents, filename = await self.download_into_memory() stream = BytesIO(contents) + # Detect file type metadata = self.detect_filetype(stream.getvalue()) metadata["filename"] = filename + metadata["start_time"] = time.time() * 1000 - if metadata["label"] == "pdf": - start_time = time.time() * 1000 + text_service = TextService(stream, metadata) - text_service = TextService(stream, metadata) + if metadata["label"] == "pdf": return await text_service.run_pdf() - else: raise BadRequestError(error={"message": "File type not supported"}) diff --git a/src/parsers/files/text/service.py b/src/parsers/files/text/service.py index 46d9753..d22bc8c 100644 --- a/src/parsers/files/text/service.py +++ b/src/parsers/files/text/service.py @@ -4,7 +4,7 @@ from unstructured.cleaners.core import clean from unstructured.chunking.basic import chunk_elements - +from _utils import create_json_response from _exceptions import InternalServerError @@ -29,11 +29,10 @@ async def run_pdf(self): try: elements = partition_pdf( file=self.file_stream, - infer_table_structure="true", + infer_table_structure=False, metadata_filename=self.metadata["filename"], - # skip_infer_table_types=[], - strategy="hi_res", - hi_res_model_name="detectron2_onnx", + # strategy="hi_res", + # hi_res_model_name="detectron2_onnx", ) chunks = self._chunk(elements) for c in chunks: @@ -41,12 +40,7 @@ async def run_pdf(self): response_obj["text"] = self._clean(response_obj["text"]) self.chunks.append(response_obj) - return { - "success": True, - "status": 200, - "error": None, - "response": self.chunks, - }, 200 + return create_json_response(True, 200, "", self.chunks) except Exception as e: error = {"message": str(e)} raise InternalServerError(error)