From 226f621e952de409041d0b2ab8d7fb4cecde3696 Mon Sep 17 00:00:00 2001 From: JuHyung-Son Date: Thu, 19 Sep 2024 17:34:03 +0900 Subject: [PATCH 1/8] feat: add solar pro llm and document parser --- .../llama_index/llms/upstage/base.py | 85 +- .../llama_index/llms/upstage/utils.py | 23 +- .../llms/llama-index-llms-upstage/poetry.lock | 4732 +++++++++++++++++ .../llama-index-llms-upstage/pyproject.toml | 4 +- .../llama_index/readers/upstage/__init__.py | 3 +- .../readers/upstage/document_parse.py | 432 ++ .../llama-index-readers-upstage/poetry.lock | 4509 ++++++++++++++++ .../tests/test_readers_upstage.py | 4 + 8 files changed, 9780 insertions(+), 12 deletions(-) create mode 100644 llama-index-integrations/llms/llama-index-llms-upstage/poetry.lock create mode 100644 llama-index-integrations/readers/llama-index-readers-upstage/llama_index/readers/upstage/document_parse.py create mode 100644 llama-index-integrations/readers/llama-index-readers-upstage/poetry.lock diff --git a/llama-index-integrations/llms/llama-index-llms-upstage/llama_index/llms/upstage/base.py b/llama-index-integrations/llms/llama-index-llms-upstage/llama_index/llms/upstage/base.py index 96d96ea74d96e..13cd5302e1ebe 100644 --- a/llama-index-integrations/llms/llama-index-llms-upstage/llama_index/llms/upstage/base.py +++ b/llama-index-integrations/llms/llama-index-llms-upstage/llama_index/llms/upstage/base.py @@ -1,11 +1,23 @@ -from typing import Optional, Dict, Any, Sequence, Callable +import os +from pathlib import Path +from typing import List, Optional, Dict, Any, Sequence, Callable, Union +import warnings import httpx +from llama_index.readers.upstage import UpstageDocumentParseReader +from llama_index.llms.openai.utils import ( + from_openai_token_logprobs, + create_retry_decorator, + from_openai_message, +) +from llama_index.core.base.llms.types import ChatResponse from llama_index.core.base.llms.types import LLMMetadata, ChatMessage from llama_index.llms.openai import OpenAI from llama_index.llms.openai.base import to_openai_message_dicts from llama_index.llms.upstage.utils import ( + SOLAR_TOKENIZERS, + is_doc_parsing_model, resolve_upstage_credentials, is_chat_model, upstage_modelname_to_contextsize, @@ -14,17 +26,25 @@ from llama_index.core.callbacks import CallbackManager from llama_index.core.constants import DEFAULT_TEMPERATURE from llama_index.core.types import BaseOutputParser, PydanticProgramMode -from llama_index.core.bridge.pydantic import ConfigDict from tokenizers import Tokenizer -from pydantic import Field, PrivateAttr +from pydantic import ConfigDict, Field, PrivateAttr from openai import OpenAI as SyncOpenAI from openai import AsyncOpenAI DEFAULT_UPSTAGE_MODEL = "solar-1-mini-chat" +llm_retry_decorator = create_retry_decorator( + max_retries=6, + random_exponential=True, + stop_after_delay_seconds=60, + min_seconds=1, + max_seconds=20, +) + class Upstage(OpenAI): - """Upstage LLM. + """ + Upstage LLM. Examples: `pip install llama-index-llms-upstage` @@ -87,7 +107,7 @@ class Upstage(OpenAI): "Huggingface pretrained tokenizer name " "upstage opened solar tokenizer in Huggingface. https://huggingface.co/upstage/solar-1-mini-tokenizer" ), - default="upstage/solar-1-mini-tokenizer", + default=SOLAR_TOKENIZERS[DEFAULT_UPSTAGE_MODEL], ) api_key: str = Field( @@ -124,7 +144,7 @@ def __init__( completion_to_prompt: Optional[Callable[[str], str]] = None, pydantic_program_mode: PydanticProgramMode = PydanticProgramMode.DEFAULT, output_parser: Optional[BaseOutputParser] = None, - **kwargs: Any + **kwargs: Any, ) -> None: if "upstage_api_key" in kwargs: api_key = kwargs.pop("upstage_api_key") @@ -153,7 +173,7 @@ def __init__( completion_to_prompt=completion_to_prompt, pydantic_program_mode=pydantic_program_mode, output_parser=output_parser, - **kwargs + **kwargs, ) self.tokenizer_name = tokenizer_name @@ -187,6 +207,10 @@ def _tokenizer(self) -> Optional[Tokenizer]: """ Get a Huggingface tokenizer for solar models. """ + if SOLAR_TOKENIZERS.get(self.model) != self.tokenizer_name: + warnings.warn( + f"You are using a different tokenizer than the one specified in the model. This may cause issues with token counting. Please use {SOLAR_TOKENIZERS[self.model]} as the tokenizer name." + ) return Tokenizer.from_pretrained(self.tokenizer_name) def get_num_tokens_from_message(self, messages: Sequence[ChatMessage]) -> int: @@ -207,3 +231,50 @@ def get_num_tokens_from_message(self, messages: Sequence[ChatMessage]) -> int: ) num_tokens += tokens_suffix return num_tokens + + @llm_retry_decorator + def _chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse: + if is_doc_parsing_model(self.model, kwargs): + document_contents = self._parse_documents(kwargs.pop("file_path")) + messages.append(ChatMessage(role="user", content=document_contents)) + client = self._get_client() + message_dicts = to_openai_message_dicts(messages) + response = client.chat.completions.create( + messages=message_dicts, + stream=False, + **self._get_model_kwargs(**kwargs), + ) + openai_message = response.choices[0].message + message = from_openai_message(openai_message) + openai_token_logprobs = response.choices[0].logprobs + logprobs = None + if openai_token_logprobs and openai_token_logprobs.content: + logprobs = from_openai_token_logprobs(openai_token_logprobs.content) + + return ChatResponse( + message=message, + raw=response, + logprobs=logprobs, + additional_kwargs=self._get_response_token_counts(response), + ) + + def _parse_documents( + self, file_path: Union[str, Path, List[str], List[Path]] + ) -> str: + document_contents = "Documents:\n" + + loader = UpstageDocumentParseReader( + api_key=self.api_key, output_format="text", coordinates=False + ) + docs = loader.load_data(file_path) + + if isinstance(file_path, list): + file_titles = [os.path.basename(path) for path in file_path] + else: + file_titles = [os.path.basename(file_path)] + + for i, doc in enumerate(docs): + file_title = file_titles[min(i, len(file_titles) - 1)] + document_contents += f"{file_title}:\n{doc.text}\n\n" + print("DOCUMENT CONTENTS", document_contents) + return document_contents diff --git a/llama-index-integrations/llms/llama-index-llms-upstage/llama_index/llms/upstage/utils.py b/llama-index-integrations/llms/llama-index-llms-upstage/llama_index/llms/upstage/utils.py index 1c43ed1a04749..4d764601a9a7f 100644 --- a/llama-index-integrations/llms/llama-index-llms-upstage/llama_index/llms/upstage/utils.py +++ b/llama-index-integrations/llms/llama-index-llms-upstage/llama_index/llms/upstage/utils.py @@ -1,5 +1,5 @@ import logging -from typing import Optional, Tuple +from typing import Any, Dict, Optional, Tuple from llama_index.core.base.llms.generic_utils import get_from_param_or_env @@ -7,10 +7,21 @@ DEFAULT_CONTEXT_WINDOW = 32768 CHAT_MODELS = { "solar-1-mini-chat": 32768, + "solar-pro": 4096, + "solar-docvision": 65536, } +FUNCTION_CALLING_MODELS = ["solar-1-mini-chat"] +DOC_PARSING_MODELS = ["solar-pro"] + ALL_AVAILABLE_MODELS = {**CHAT_MODELS} +SOLAR_TOKENIZERS = { + "solar-pro": "upstage/solar-pro-preview-tokenizer", + "solar-1-mini-chat": "upstage/solar-1-mini-tokenizer", + "solar-docvision": "upstage/solar-docvision-preview-tokenizer", +} + logger = logging.getLogger(__name__) @@ -40,7 +51,15 @@ def is_chat_model(model: str) -> bool: def is_function_calling_model(model: str) -> bool: - return is_chat_model(model) + return model in FUNCTION_CALLING_MODELS + + +def is_doc_parsing_model(model: str, kwargs: Dict[str, Any]) -> bool: + if "file_path" in kwargs: + if model in DOC_PARSING_MODELS: + return True + raise ValueError("file_path is not supported for this model.") + return False def upstage_modelname_to_contextsize(modelname: str) -> int: diff --git a/llama-index-integrations/llms/llama-index-llms-upstage/poetry.lock b/llama-index-integrations/llms/llama-index-llms-upstage/poetry.lock new file mode 100644 index 0000000000000..3cc48d19a0be9 --- /dev/null +++ b/llama-index-integrations/llms/llama-index-llms-upstage/poetry.lock @@ -0,0 +1,4732 @@ +# This file is automatically @generated by Poetry 1.8.2 and should not be 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"^0.11.0" +llama-index-llms-openai = "^0.2.0" [tool.poetry.group.dev.dependencies] black = {extras = ["jupyter"], version = "<=23.9.1,>=23.7.0"} diff --git a/llama-index-integrations/readers/llama-index-readers-upstage/llama_index/readers/upstage/__init__.py b/llama-index-integrations/readers/llama-index-readers-upstage/llama_index/readers/upstage/__init__.py index 0870a5ee8c061..8f7cff6fc1e0f 100644 --- a/llama-index-integrations/readers/llama-index-readers-upstage/llama_index/readers/upstage/__init__.py +++ b/llama-index-integrations/readers/llama-index-readers-upstage/llama_index/readers/upstage/__init__.py @@ -1,3 +1,4 @@ from llama_index.readers.upstage.base import UpstageLayoutAnalysisReader +from llama_index.readers.upstage.document_parse import UpstageDocumentParseReader -__all__ = ["UpstageLayoutAnalysisReader"] +__all__ = ["UpstageLayoutAnalysisReader", "UpstageDocumentParseReader"] diff --git a/llama-index-integrations/readers/llama-index-readers-upstage/llama_index/readers/upstage/document_parse.py b/llama-index-integrations/readers/llama-index-readers-upstage/llama_index/readers/upstage/document_parse.py new file mode 100644 index 0000000000000..eb9158ea8dea8 --- /dev/null +++ b/llama-index-integrations/readers/llama-index-readers-upstage/llama_index/readers/upstage/document_parse.py @@ -0,0 +1,432 @@ +import io +import json +import os +from pathlib import Path +from typing import Dict, Iterable, List, Literal, Optional, Union +from fitz import Document as fitzDocument + +import fitz # type: ignore +from llama_index.core.readers.base import BaseReader +import requests +from llama_index.core.schema import Document + + +DOCUMENT_PARSE_BASE_URL = "https://api.upstage.ai/v1/document-ai/document-parse" +DEFAULT_NUMBER_OF_PAGE = 10 +DOCUMENT_PARSE_DEFAULT_MODEL = "document-parse" + +OutputFormat = Literal["text", "html", "markdown"] +OCR = Literal["auto", "force"] +SplitType = Literal["none", "page", "element"] +Category = Literal[ + "paragraph", + "table", + "figure", + "header", + "footer", + "caption", + "equation", + "heading1", + "list", + "index", + "footnote", + "chart", +] + + +def validate_file_path(file_path: str) -> None: + """ + Validates if a file exists at the given file path. + + Args: + file_path (str): The path to the file. + + Raises: + FileNotFoundError: If the file does not exist at the given file path. + """ + if not os.path.exists(file_path): + raise FileNotFoundError(f"File not found: {file_path}") + + +def parse_output(data: dict, output_format: OutputFormat) -> str: + """ + Parse the output data based on the specified output type. + + Args: + data (dict): The data to be parsed. + output_type (OutputFormat): The output type to parse the element data + into. + + Returns: + str: The parsed output. + + Raises: + ValueError: If the output type is invalid. + """ + content = data["content"] + if output_format == "text": + return content["text"] + elif output_format == "html": + return content["html"] + elif output_format == "markdown": + return content["markdown"] + else: + raise ValueError(f"Invalid output type: {output_format}") + + +def get_from_param_or_env( + key: str, + param: Optional[str] = None, + env_key: Optional[str] = None, + default: Optional[str] = None, +) -> str: + """Get a value from a param or an environment variable.""" + if param is not None: + return param + elif env_key and env_key in os.environ and os.environ[env_key]: + return os.environ[env_key] + elif default is not None: + return default + else: + raise ValueError( + f"Did not find {key}, please add an environment variable" + f" `{env_key}` which contains it, or pass" + f" `{key}` as a named parameter." + ) + + +class UpstageDocumentParseReader(BaseReader): + """ + Upstage Document Parse Reader. + + To use, you should have the environment variable `UPSTAGE_API_KEY` + set with your API key or pass it as a named parameter to the constructor. + + Example: + .. code-block:: python + + from llama_index.readers.file import UpstageDocumentParseReader + + reader = UpstageDocumentParseReader() + + docs = reader.load_data("path/to/file.pdf") + """ + + def __init__( + self, + api_key: Optional[str] = None, + base_url: str = DOCUMENT_PARSE_BASE_URL, + model: str = DOCUMENT_PARSE_DEFAULT_MODEL, + split: SplitType = "none", + ocr: OCR = "auto", + output_format: OutputFormat = "html", + coordinates: bool = True, + base64_encoding: List[Category] = [], + ): + """ + Initializes an instance of the Upstage Document Parse Reader class. + + Args: + api_key (str, optional): The API key for accessing the Upstage API. + Defaults to None, in which case it will be + fetched from the environment variable + `UPSTAGE_API_KEY`. + base_url (str, optional): The base URL for accessing the Upstage API. + split (SplitType, optional): The type of splitting to be applied. + Defaults to "none" (no splitting). + model (str): The model to be used for the document parse. + Defaults to "document-parse". + ocr (OCRMode, optional): Extract text from images in the document using OCR. + If the value is "force", OCR is used to extract + text from an image. If the value is "auto", text is + extracted from a PDF. (An error will occur if the + value is "auto" and the input is NOT in PDF format) + output_format (OutputFormat, optional): Format of the inference results. + coordinates (bool, optional): Whether to include the coordinates of the + OCR in the output. + base64_encoding (List[Category], optional): The category of the elements to + be encoded in base64. + + """ + self.api_key = get_from_param_or_env( + "UPSTAGE_API_KEY", api_key, "UPSTAGE_API_KEY" + ) + self.base_url = base_url + self.model = model + self.split = split + self.ocr = ocr + self.output_format = output_format + self.coordinates = coordinates + self.base64_encoding = base64_encoding + + def _get_response( + self, + files: Dict, + ) -> List: + """ + Sends a POST request to the API endpoint with the provided files and + returns the response. + + Args: + files (dict): A dictionary containing the files to be sent in the request. + + Returns: + dict: The JSON response from the API. + + Raises: + ValueError: If there is an error in the API call. + """ + try: + headers = { + "Authorization": f"Bearer {self.api_key}", + } + response = requests.post( + self.base_url, + headers=headers, + files=files, + data={ + "ocr": self.ocr, + "model": self.model, + "output_formats": f"['{self.output_format}']", + "coordinates": self.coordinates, + "base64_encoding": f"{self.base64_encoding}", + }, + ) + response.raise_for_status() + return response.json().get("elements", []) + + except requests.HTTPError as e: + raise ValueError(f"HTTP error: {e.response.text}") + except requests.RequestException as e: + # Handle any request-related exceptions + raise ValueError(f"Failed to send request: {e}") + except json.JSONDecodeError as e: + # Handle JSON decode errors + raise ValueError(f"Failed to decode JSON response: {e}") + except Exception as e: + # Handle any other exceptions + raise ValueError(f"An error occurred: {e}") + + def _split_and_request( + self, + full_docs: fitzDocument, + start_page: int, + num_pages: int, + ) -> List: + """ + Splits the full pdf document into partial pages and sends a request to the + server. + + Args: + full_docs (str): The full document to be split and requested. + start_page (int): The starting page number for splitting the document. + num_pages (int, optional): The number of pages to split the document + into. + Defaults to DEFAULT_NUMBER_OF_PAGE. + + Returns: + response: The response from the server. + """ + with fitz.open() as chunk_pdf: + chunk_pdf.insert_pdf( + full_docs, + from_page=start_page, + to_page=start_page + num_pages - 1, + ) + pdf_bytes = chunk_pdf.write() + + with io.BytesIO(pdf_bytes) as buffer: + return self._get_response({"document": buffer}) + + def _element_document(self, element: Dict) -> Document: + """ + Converts an elements into a Document object. + + Args: + element (Dict): The element to be converted into a Document object. + + Returns: + Document: A Document object representing the element with its content + and metadata. + + """ + extra_info = { + "page": element["page"], + "id": element["id"], + "output_format": self.output_format, + "split": self.split, + "category": element.get("category"), + } + if element.get("coordinates") is not None: + extra_info["coordinates"] = element.get("coordinates") + if element.get("base64_encoding") is not None: + extra_info["base64_encoding"] = element.get("base64_encoding") + + return Document( + text=(parse_output(element, self.output_format)), extra_info=extra_info + ) + + def _page_document(self, elements: List) -> List[Document]: + """ + Combines elements with the same page number into a single Document object. + + Args: + elements (List): A list of elements containing page numbers. + + Returns: + List[Document]: A list of Document objects, each representing a page + with its content and metadata. + """ + _docs = [] + pages = sorted({x["page"] for x in elements}) + + page_group = [ + [element for element in elements if element["page"] == x] for x in pages + ] + + for group in page_group: + page_content = " ".join( + [parse_output(element, self.output_format) for element in group] + ) + + coordinates = [ + element.get("coordinates") + for element in group + if element.get("coordinates") is not None + ] + + base64_encodings = [ + element.get("base64_encoding") + for element in group + if element.get("base64_encoding") is not None + ] + extra_info = { + "page": group[0]["page"], + "output_format": self.output_format, + "split": self.split, + } + + if coordinates: + extra_info["coordinates"] = coordinates + + if base64_encodings: + extra_info["base64_encodings"] = base64_encodings + + _docs.append( + Document( + text=page_content.strip(), + extra_info=extra_info, + ) + ) + + return _docs + + def lazy_load_data( + self, + file_path: Union[str, Path, List[str], List[Path]], + ) -> Iterable[Document]: + """ + Load data from a file or list of files lazily. + + Args: + file_path (Union[str, Path, List[str], List[Path]]): The path or list of paths to the file(s) to load. + + Returns: + List[Document]: A list of Document objects containing the loaded data. + + Raises: + ValueError: If an invalid split type is provided or if file_path is required. + """ + # Check if the file path is a list of paths + if isinstance(file_path, list): + for path in file_path: + docs = self.load_data(path) + yield from docs + + else: + num_pages = DEFAULT_NUMBER_OF_PAGE + + if not file_path: + raise ValueError("file_path is required.") + + validate_file_path(file_path) + + full_docs = fitz.open(file_path) + number_of_pages = full_docs.page_count + + if self.split == "none": + if full_docs.is_pdf: + result = "" + start_page = 0 + for _ in range(number_of_pages): + if start_page >= number_of_pages: + break + + elements = self._split_and_request( + full_docs, start_page, num_pages + ) + for element in elements: + result += parse_output(element, self.output_format) + + start_page += num_pages + + else: + with open(file_path, "rb") as f: + elements = self._get_response({"document": f}) + + result = "" + for element in elements: + result += parse_output(element, self.output_format) + + yield Document( + text=result, + extra_info={ + "total_pages": number_of_pages, + "type": self.output_format, + "split": self.split, + }, + ) + + elif self.split == "element": + if full_docs.is_pdf: + start_page = 0 + for _ in range(number_of_pages): + if start_page >= number_of_pages: + break + + elements = self._split_and_request( + full_docs, start_page, num_pages + ) + for element in elements: + yield self._element_document(element) + + start_page += num_pages + + else: + with open(file_path, "rb") as f: + elements = self._get_response({"document": f}) + + for element in elements: + yield self._element_document(element) + + elif self.split == "page": + if full_docs.is_pdf: + start_page = 0 + for _ in range(number_of_pages): + if start_page >= number_of_pages: + break + + elements = self._split_and_request( + full_docs, start_page, num_pages + ) + yield from 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names_of_base_classes = [b.__name__ for b in UpstageLayoutAnalysisReader.__mro__] assert BaseReader.__name__ in names_of_base_classes + + names_of_base_classes = [b.__name__ for b in UpstageDocumentParseReader.__mro__] + assert BaseReader.__name__ in names_of_base_classes From 352cadd8e439a0aaede88bb3b2e91d47e6784151 Mon Sep 17 00:00:00 2001 From: JuHyung-Son Date: Thu, 19 Sep 2024 17:50:21 +0900 Subject: [PATCH 2/8] bump DP version --- .../readers/llama-index-readers-upstage/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/llama-index-integrations/readers/llama-index-readers-upstage/pyproject.toml b/llama-index-integrations/readers/llama-index-readers-upstage/pyproject.toml index 0f1098b8b0577..a144c6f2996b7 100644 --- a/llama-index-integrations/readers/llama-index-readers-upstage/pyproject.toml +++ b/llama-index-integrations/readers/llama-index-readers-upstage/pyproject.toml @@ -30,7 +30,7 @@ license = "MIT" name = "llama-index-readers-upstage" 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1)] document_contents += f"{file_title}:\n{doc.text}\n\n" - print("DOCUMENT CONTENTS", document_contents) return document_contents From a0fd60ca6eeb3196d8a8a524020aeb1b176f0ce2 Mon Sep 17 00:00:00 2001 From: JuHyung-Son Date: Tue, 8 Oct 2024 22:11:22 +0900 Subject: [PATCH 6/8] override some methods --- .../llama_index/llms/upstage/base.py | 54 +++++++++---------- 1 file changed, 25 insertions(+), 29 deletions(-) diff --git a/llama-index-integrations/llms/llama-index-llms-upstage/llama_index/llms/upstage/base.py b/llama-index-integrations/llms/llama-index-llms-upstage/llama_index/llms/upstage/base.py index 662982e564d8b..a343dfb2f84a3 100644 --- a/llama-index-integrations/llms/llama-index-llms-upstage/llama_index/llms/upstage/base.py +++ b/llama-index-integrations/llms/llama-index-llms-upstage/llama_index/llms/upstage/base.py @@ -6,15 +6,14 @@ import httpx from llama_index.readers.upstage import UpstageDocumentParseReader from llama_index.llms.openai.utils import ( - from_openai_token_logprobs, create_retry_decorator, - from_openai_message, ) from llama_index.core.base.llms.types import ( LLMMetadata, ChatMessage, - ChatResponse, ChatResponseGen, + ChatResponse, + ChatResponseAsyncGen, ) from llama_index.llms.openai import OpenAI from llama_index.llms.openai.base import to_openai_message_dicts @@ -75,8 +74,8 @@ class Upstage(OpenAI): temperature: float = Field( default=DEFAULT_TEMPERATURE, description="The temperature to use during generation.", - ge=0.0, - le=1.0, + gte=0.0, + lte=1.0, ) max_tokens: Optional[int] = Field( description="The maximum number of tokens to generate." @@ -87,17 +86,17 @@ class Upstage(OpenAI): top_logprobs: int = Field( description="The number of top token logprobs to return.", default=0, - ge=0, - le=20, + gte=0, + lte=20, ) additional_kwargs: Dict[str, Any] = Field( description="Additional kwargs for the Upstage API.", default_factory=dict ) max_retries: int = Field( - description="The maximum number of API retries.", default=3, ge=0 + description="The maximum number of API retries.", default=3, gte=0 ) timeout: float = Field( - description="The timeout, in seconds, for API requests.", default=60.0, ge=0.0 + description="The timeout, in seconds, for API requests.", default=60.0, gte=0.0 ) reuse_client: bool = Field( description=( @@ -241,26 +240,14 @@ def _chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse: if is_doc_parsing_model(self.model, kwargs): document_contents = self._parse_documents(kwargs.pop("file_path")) messages.append(ChatMessage(role="user", content=document_contents)) - client = self._get_client() - message_dicts = to_openai_message_dicts(messages) - response = client.chat.completions.create( - messages=message_dicts, - stream=False, - **self._get_model_kwargs(**kwargs), - ) - openai_message = response.choices[0].message - message = from_openai_message(openai_message) - openai_token_logprobs = response.choices[0].logprobs - logprobs = None - if openai_token_logprobs and openai_token_logprobs.content: - logprobs = from_openai_token_logprobs(openai_token_logprobs.content) - - return ChatResponse( - message=message, - raw=response, - logprobs=logprobs, - additional_kwargs=self._get_response_token_counts(response), - ) + return super()._chat(messages, **kwargs) + + @llm_retry_decorator + def _achat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse: + if is_doc_parsing_model(self.model, kwargs): + document_contents = self._parse_documents(kwargs.pop("file_path")) + messages.append(ChatMessage(role="user", content=document_contents)) + return super()._achat(messages, **kwargs) @llm_retry_decorator def _stream_chat( @@ -271,6 +258,15 @@ def _stream_chat( messages.append(ChatMessage(role="user", content=document_contents)) return super()._stream_chat(messages, **kwargs) + @llm_retry_decorator + def _astream_chat( + self, messages: Sequence[ChatMessage], **kwargs: Any + ) -> ChatResponseAsyncGen: + if is_doc_parsing_model(self.model, kwargs): + document_contents = self._parse_documents(kwargs.pop("file_path")) + messages.append(ChatMessage(role="user", content=document_contents)) + return super()._astream_chat(messages, **kwargs) + def _parse_documents( self, file_path: Union[str, Path, List[str], List[Path]] ) -> str: From c3e13832dffe54393373fba558a44bcad222ea22 Mon Sep 17 00:00:00 2001 From: cyzhzhd Date: Mon, 14 Oct 2024 14:07:37 +0900 Subject: [PATCH 7/8] [docs] update readme and example code for DocumentParse --- .../llama-index-readers-upstage/README.md | 56 +++++++++++ .../examples/UpstageDocumentParseReader.ipynb | 98 +++++++++++++++++++ ...pynb => UpstageLayoutAnalysisReader.ipynb} | 0 3 files changed, 154 insertions(+) create mode 100644 llama-index-integrations/readers/llama-index-readers-upstage/examples/UpstageDocumentParseReader.ipynb rename llama-index-integrations/readers/llama-index-readers-upstage/examples/{upstage.ipynb => UpstageLayoutAnalysisReader.ipynb} (100%) diff --git a/llama-index-integrations/readers/llama-index-readers-upstage/README.md b/llama-index-integrations/readers/llama-index-readers-upstage/README.md index f3e98cb4209d9..b670f2f5793e5 100644 --- a/llama-index-integrations/readers/llama-index-readers-upstage/README.md +++ b/llama-index-integrations/readers/llama-index-readers-upstage/README.md @@ -1,5 +1,61 @@ # UpstageLayoutAnalysisReader +## UpstageDocumentParseReader + +```bash +pip install llama-index-readers-upstage +``` + +This reader loads document files and detects elements such as text, tables, and figures using the Upstage Layout Analysis API. Users wishing to utilize this reader must obtain an API key from the [Upstage console](https://console.upstage.ai). + +### Construction + +The `UpstageDocumentParseReader` is equipped with the following three optional parameters during instantiation: + +- `api_key`: This parameter is designed to accept a string that serves as an API access token. If the API key has already been registered in the environment variable `UPSTAGE_API_KEY`, there is no necessity to input it again during the reader's configuration. + +- `ocr`: A string value indicating whether to perform OCR inference on the document before layout detection. The possible value is one of `auto` and `force`. The default is `auto` which means that OCR is performed for image input only. When this option is set to `auto` for PDF or non-image documents, the engine directly extracts text and coordinates from the document without converting it to images. Otherwise, the engine converts the input file to images and performs OCR inference before layout detection. + +- `output_format`: A list of string value indicating in which each layout element output is formatted. Possible values are `text`, `html`, and `markdown`. The default value is `"html"` + +- `coordinates`: A boolean value indicating wheter to return coordinates of bounding boxes of each layout element. The default is `true` + +- `base64_encoding`: A list of string value indicating which layout category should be provided as base64 encoded string. Categories are include `paragraph`, `table`, `figure`, `header`, `footer`, `caption`, `equation`, `heading1`, `list`, `index`, `footnote`, `chart`. This feature is useful when user wants to crop the layout element from the original document image and store and use it for their own purpose. For example, users can extract image base64 encoding of all tables of the input document with `["table"]`. All layout categories can be specified. + +### `load_data` + +The `load_data` function, encompassed within the `UpstageDocumentParseReader`, extends from the `BaseReader` class. The `lazy_load_data` function mirrors the functionalities of the `load_data` function but with an enhanced focus on efficiency and lazy loading, making it particularly suitable for handling large files. Utilizing this function effectively necessitates a thorough understanding of its parameters and their respective expected inputs to harness its full potential: + +- **`file_path` (required):** This critical parameter accepts either a single string or `pathlib.Path` object, or a list comprising multiple of these elements, representing the path(s) to the file(s) intended for loading. Proper accessibility and precise specification of these path(s) are essential to ensure smooth operation. + +### Usage + +Here's an example usage of the UpstageLayoutAnalysisReader. + +```python +import os + +os.environ["UPSTAGE_API_KEY"] = "YOUR_API_KEY" + + +from llama_index.readers.upstage import UpstageLayoutAnalysisReader + +file_path = "/PATH/TO/YOUR/FILE.pdf" + +reader = UpstageDocumentParseReader() + +# For improved memory efficiency, consider using the lazy_load_data method to load documents page by page. +docs = reader.load_data( + file_path=file_path +) + +for doc in docs[:3]: + print(doc) +``` + + +## UpstageLayoutAnalysisReader (deprecated) + ```bash pip install llama-index-readers-upstage ``` diff --git a/llama-index-integrations/readers/llama-index-readers-upstage/examples/UpstageDocumentParseReader.ipynb b/llama-index-integrations/readers/llama-index-readers-upstage/examples/UpstageDocumentParseReader.ipynb new file mode 100644 index 0000000000000..5ca22e2835d2d --- /dev/null +++ b/llama-index-integrations/readers/llama-index-readers-upstage/examples/UpstageDocumentParseReader.ipynb @@ -0,0 +1,98 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# UpstageDocumentParseReader\n", + "\n", + "This notebook covers how to get started with `UpstageDocumentParseReader`.\n", + "\n", + "## Installation\n", + "Please install `llama_index` package.\n", + "```bash\n", + "pip install llama-index-readers-upstage\n", + "```\n", + "\n", + "## Environment Setup\n", + "Make sure to set the following environment variables:\n", + "- `UPSTAGE_API_KEY`: Your Upstage API key. Read [Upstage console](https://console.upstage.ai/) to get your API key." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Usage" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "os.environ[\"UPSTAGE_API_KEY\"] = \"YOUR_API_KEY\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Doc ID: c7dbc90d-7ffe-4da8-bb25-2617a7224bf9\n", + "Text:

SOLAR 10.7B: Scaling Large\n", + "Language Models with Simple yet Effective
Depth Up-Scaling

\n", + "Doc ID: 7fe77a89-d43c-4e64-8bc5-78f6a8711530\n", + "Text:

Dahyun Kim ∗ , Chanjun Park\n", + "∗† , Sanghoon Kim ∗† , Wonsung Lee ∗† , Wonho Song ∗
Yunsu Kim ∗ ,\n", + "Hyeonwoo Kim ∗ , Yungi Kim, Hyeonju Lee, Jihoo Kim
Changbae Ahn,\n", + "Seonghoon Yang, Sukyung Lee, Hyunbyung Park, Gyoungjin Gim
Mikyoung\n", + "Cha, Hwalsuk Lee † , Sunghun Kim †

\n", + "Doc ID: 12276f2e-63c0-45a8-8aa8-95210f5afc7d\n", + "Text:

Upstage AI, South Korea

\n" + ] + } + ], + "source": [ + "from llama_index.readers.upstage import UpstageDocumentParseReader\n", + "\n", + "file_path = \"/PATH/TO/YOUR/FILE.pdf\"\n", + "\n", + "reader = UpstageDocumentParseReader()\n", + "\n", + "# For improved memory efficiency, consider using the lazy_load method to load documents page by page.\n", + "docs = reader.load_data(file_path=file_path, split=\"element\")\n", + "\n", + "for doc in docs[:3]:\n", + " print(doc)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "llama_upstage", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/llama-index-integrations/readers/llama-index-readers-upstage/examples/upstage.ipynb b/llama-index-integrations/readers/llama-index-readers-upstage/examples/UpstageLayoutAnalysisReader.ipynb similarity index 100% rename from llama-index-integrations/readers/llama-index-readers-upstage/examples/upstage.ipynb rename to llama-index-integrations/readers/llama-index-readers-upstage/examples/UpstageLayoutAnalysisReader.ipynb From 89ec18d09db3d6742cd6d3b96f31ffbe14922412 Mon Sep 17 00:00:00 2001 From: Logan Markewich Date: Mon, 14 Oct 2024 11:49:00 -0600 Subject: [PATCH 8/8] linting --- .../readers/llama-index-readers-upstage/README.md | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/llama-index-integrations/readers/llama-index-readers-upstage/README.md b/llama-index-integrations/readers/llama-index-readers-upstage/README.md index b670f2f5793e5..e8bd8c95e677f 100644 --- a/llama-index-integrations/readers/llama-index-readers-upstage/README.md +++ b/llama-index-integrations/readers/llama-index-readers-upstage/README.md @@ -18,13 +18,13 @@ The `UpstageDocumentParseReader` is equipped with the following three optional p - `output_format`: A list of string value indicating in which each layout element output is formatted. Possible values are `text`, `html`, and `markdown`. The default value is `"html"` -- `coordinates`: A boolean value indicating wheter to return coordinates of bounding boxes of each layout element. The default is `true` +- `coordinates`: A boolean value indicating whether to return coordinates of bounding boxes of each layout element. The default is `true` -- `base64_encoding`: A list of string value indicating which layout category should be provided as base64 encoded string. Categories are include `paragraph`, `table`, `figure`, `header`, `footer`, `caption`, `equation`, `heading1`, `list`, `index`, `footnote`, `chart`. This feature is useful when user wants to crop the layout element from the original document image and store and use it for their own purpose. For example, users can extract image base64 encoding of all tables of the input document with `["table"]`. All layout categories can be specified. +- `base64_encoding`: A list of string value indicating which layout category should be provided as base64 encoded string. Categories are include `paragraph`, `table`, `figure`, `header`, `footer`, `caption`, `equation`, `heading1`, `list`, `index`, `footnote`, `chart`. This feature is useful when user wants to crop the layout element from the original document image and store and use it for their own purpose. For example, users can extract image base64 encoding of all tables of the input document with `["table"]`. All layout categories can be specified. ### `load_data` -The `load_data` function, encompassed within the `UpstageDocumentParseReader`, extends from the `BaseReader` class. The `lazy_load_data` function mirrors the functionalities of the `load_data` function but with an enhanced focus on efficiency and lazy loading, making it particularly suitable for handling large files. Utilizing this function effectively necessitates a thorough understanding of its parameters and their respective expected inputs to harness its full potential: +The `load_data` function, encompassed within the `UpstageDocumentParseReader`, extends from the `BaseReader` class. The `lazy_load_data` function mirrors the functionalities of the `load_data` function but with an enhanced focus on efficiency and lazy loading, making it particularly suitable for handling large files. Utilizing this function effectively necessitates a thorough understanding of its parameters and their respective expected inputs to harness its full potential: - **`file_path` (required):** This critical parameter accepts either a single string or `pathlib.Path` object, or a list comprising multiple of these elements, representing the path(s) to the file(s) intended for loading. Proper accessibility and precise specification of these path(s) are essential to ensure smooth operation. @@ -45,15 +45,12 @@ file_path = "/PATH/TO/YOUR/FILE.pdf" reader = UpstageDocumentParseReader() # For improved memory efficiency, consider using the lazy_load_data method to load documents page by page. -docs = reader.load_data( - file_path=file_path -) +docs = reader.load_data(file_path=file_path) for doc in docs[:3]: print(doc) ``` - ## UpstageLayoutAnalysisReader (deprecated) ```bash