From ad44aa34999596e156c78f91adab97bce7ceeb0e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Chlo=C3=A9=20Daems?= <73901882+chloedia@users.noreply.github.com> Date: Thu, 7 Nov 2024 11:06:11 +0100 Subject: [PATCH] feat: megaparse-sdk-cherry (#105) * feat:create base sdk * fix: restructure repo * fix: separate package * fix : remove comments * add: pyproject * fix: rebase branch * fix: release please & sdk dep * delete general.py * fix: remove unused files * change bearer to api key & reformat imports * fix: API key optional --- .env.example | 3 +- .github/workflows/release-please.yml | 17 ++ .gitignore | 1 - megaparse/__init__.py | 9 +- megaparse/api/app.py | 19 +- megaparse/sdk/README.md | 4 + megaparse/sdk/__init__.py | 3 + megaparse/sdk/examples/usage_example.py | 31 +++ megaparse/sdk/pdf/MegaFake_report.pdf | Bin 0 -> 342682 bytes megaparse/sdk/pyproject.toml | 30 ++ megaparse/sdk/src/__init__.py | 13 + megaparse/sdk/src/client.py | 26 ++ megaparse/sdk/src/endpoints/__init__.py | 1 + megaparse/sdk/src/endpoints/file_upload.py | 34 +++ megaparse/sdk/src/endpoints/url_upload.py | 11 + megaparse/sdk/utils/type.py | 17 ++ pyproject.toml | 77 ++++-- requirements-dev.lock | 307 ++++++++++----------- requirements.lock | 273 +++++++++--------- tests/data/grt_example/MegaFake_report.md | 86 ++++++ tests/pdf/test_pdf_processing.py | 7 +- tests/test_endpoints.py | 1 - 22 files changed, 625 insertions(+), 345 deletions(-) create mode 100644 megaparse/sdk/README.md create mode 100644 megaparse/sdk/__init__.py create mode 100644 megaparse/sdk/examples/usage_example.py create mode 100644 megaparse/sdk/pdf/MegaFake_report.pdf create mode 100644 megaparse/sdk/pyproject.toml create mode 100644 megaparse/sdk/src/__init__.py create mode 100644 megaparse/sdk/src/client.py create mode 100644 megaparse/sdk/src/endpoints/__init__.py create mode 100644 megaparse/sdk/src/endpoints/file_upload.py create mode 100644 megaparse/sdk/src/endpoints/url_upload.py create mode 100644 megaparse/sdk/utils/type.py create mode 100644 tests/data/grt_example/MegaFake_report.md diff --git a/.env.example b/.env.example index b89cf1d..71fb32a 100644 --- a/.env.example +++ b/.env.example @@ -1,2 +1,3 @@ LLAMA_CLOUD_API_KEY=llx-1234567890 -OPENAI_API_KEY = sk-1234567890 +OPENAI_API_KEY=sk-1234567890 +MEGAPARSE_API_KEY=MyMegaParseKey \ No newline at end of file diff --git a/.github/workflows/release-please.yml b/.github/workflows/release-please.yml index 01ac897..56f7ebc 100644 --- a/.github/workflows/release-please.yml +++ b/.github/workflows/release-please.yml @@ -48,3 +48,20 @@ jobs: run: rye build - name: Rye Publish run: rye publish --token ${{ secrets.PYPI_API_TOKEN }} --yes + + deploy-sdk: + if: needs.release-please.outputs.release_created == 'true' + needs: release-please + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Install Rye + uses: eifinger/setup-rye@v2 + with: + enable-cache: true + - name: Rye Sync + run: cd megaparse/sdk && rye sync --no-lock + - name: Rye Build + run: cd megaparse/sdk && rye build + - name: Rye Publish + run: cd megaparse/sdk && rye publish --token ${{ secrets.PYPI_API_TOKEN }} --yes \ No newline at end of file diff --git a/.gitignore b/.gitignore index fbb3c57..d9d3029 100644 --- a/.gitignore +++ b/.gitignore @@ -1,4 +1,3 @@ -*.md /output /input .env diff --git a/megaparse/__init__.py b/megaparse/__init__.py index fdee9b2..8c7c5bd 100644 --- a/megaparse/__init__.py +++ b/megaparse/__init__.py @@ -1,3 +1,8 @@ -# from .Converter import MegaParse +"""My library with optional components.""" -# __all__ = ["MegaParse"] +__version__ = "0.1.0" + +# Import only SDK components by default +from megaparse import sdk + +__all__ = ["sdk"] diff --git a/megaparse/api/app.py b/megaparse/api/app.py index ccd93ba..49814eb 100644 --- a/megaparse/api/app.py +++ b/megaparse/api/app.py @@ -1,18 +1,19 @@ +import os import tempfile -from fastapi import Depends, FastAPI, UploadFile, File, HTTPException + +import httpx +import psutil +from fastapi import Depends, FastAPI, File, HTTPException, UploadFile +from langchain_anthropic import ChatAnthropic +from langchain_community.document_loaders import PlaywrightURLLoader +from langchain_openai import ChatOpenAI +from llama_parse.utils import Language + from megaparse.api.utils.type import HTTPModelNotSupported from megaparse.core.megaparse import MegaParse from megaparse.core.parser.builder import ParserBuilder from megaparse.core.parser.type import ParserConfig, ParserType from megaparse.core.parser.unstructured_parser import StrategyEnum, UnstructuredParser -import psutil -import os -from langchain_community.document_loaders import PlaywrightURLLoader - -from langchain_openai import ChatOpenAI -from langchain_anthropic import ChatAnthropic -from llama_parse.utils import Language -import httpx app = FastAPI() diff --git a/megaparse/sdk/README.md b/megaparse/sdk/README.md new file mode 100644 index 0000000..8eab727 --- /dev/null +++ b/megaparse/sdk/README.md @@ -0,0 +1,4 @@ +## MegaParse SDK + +What if you just don't care about the code and just want to call a service that does everythink for you ? +We thought of that (since we do to), just use our SDK. diff --git a/megaparse/sdk/__init__.py b/megaparse/sdk/__init__.py new file mode 100644 index 0000000..28e7eac --- /dev/null +++ b/megaparse/sdk/__init__.py @@ -0,0 +1,3 @@ +from megaparse.sdk.src import MegaParseSDK + +__all__ = ["MegaParseSDK"] diff --git a/megaparse/sdk/examples/usage_example.py b/megaparse/sdk/examples/usage_example.py new file mode 100644 index 0000000..d962028 --- /dev/null +++ b/megaparse/sdk/examples/usage_example.py @@ -0,0 +1,31 @@ +import asyncio +import os + +from megaparse.sdk import MegaParseSDK + + +async def main(): + api_key = str(os.getenv("MEGAPARSE_API_KEY")) + megaparse = MegaParseSDK(api_key) + + url = "https://www.quivr.com" + + # Upload a URL + url_response = await megaparse.url.upload(url) + print(f"\n----- URL Response : {url} -----\n") + print(url_response) + + file_path = "megaparse/sdk/pdf/MegaFake_report.pdf" + # Upload a file + response = await megaparse.file.upload( + file_path=file_path, + method="unstructured", # type: ignore # unstructured, llama_parser, megaparse_vision + strategy="auto", + ) + print(f"\n----- File Response : {file_path} -----\n") + print(response) + await megaparse.close() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/megaparse/sdk/pdf/MegaFake_report.pdf b/megaparse/sdk/pdf/MegaFake_report.pdf new file mode 100644 index 0000000000000000000000000000000000000000..602ae67ecd192e0883ff6d560c6ff20410b26c8a GIT binary patch literal 342682 zcmag_WmKEr6E1+_E(Hn{D-O*B6^ggTT?>T-ihH4WXdq~z zNFX>AyZQakS?k;ncdeTbS#Og4PIg9~dG^eNM@LCnP(((Kbf$OkEgxAor4d@Q++oV8)2*f4tEhzDGn7+ zPbcghN}hJU9C{8O_6|M{KKu#_WZ299M2h`C(RMZ*B4omEG&zK|Jbm14fd6li#Q$5Q z`1-#^|7WR&BF76dVGZ^FJsWd~2#NilhZLExrUr)y_A~w09DY9j4*$QUO8-BpS{!0z z!pbf{KkWX6m4P;X4oVJop7z)qH5@#g{G2&NWh508IDGwl9BkalAo;4PweMr 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+build-backend = "hatchling.build" + +[tool.rye] +managed = true +dev-dependencies = [] +universal = true + +[tool.hatch.metadata] +allow-direct-references = true + +[tool.hatch.build.targets.wheel] +packages = ["megaparse_sdk"] diff --git a/megaparse/sdk/src/__init__.py b/megaparse/sdk/src/__init__.py new file mode 100644 index 0000000..9a0d3a4 --- /dev/null +++ b/megaparse/sdk/src/__init__.py @@ -0,0 +1,13 @@ +from .client import MegaParseClient +from .endpoints.file_upload import FileUpload +from .endpoints.url_upload import URLUpload + + +class MegaParseSDK: + def __init__(self, api_key: str): + self.client = MegaParseClient(api_key) + self.file = FileUpload(self.client) + self.url = URLUpload(self.client) + + async def close(self): + await self.client.close() diff --git a/megaparse/sdk/src/client.py b/megaparse/sdk/src/client.py new file mode 100644 index 0000000..bd95b6e --- /dev/null +++ b/megaparse/sdk/src/client.py @@ -0,0 +1,26 @@ +from typing import Any + +import httpx + + +class MegaParseClient: + def __init__(self, api_key: str | None = None): + self.base_url = "https://megaparse.tooling.quivr.app" # to define once in production # to define once in production + + self.api_key = api_key + if self.api_key: + self.session = httpx.AsyncClient( + headers={"x-api-key": self.api_key}, timeout=60 + ) + else: + self.session = httpx.AsyncClient(timeout=60) + + async def request(self, method: str, endpoint: str, **kwargs: Any) -> Any: + url = f"{self.base_url}{endpoint}" + client = self.session + response = await client.request(method, url, **kwargs) + response.raise_for_status() + return response.json() + + async def close(self): + await self.session.aclose() diff --git a/megaparse/sdk/src/endpoints/__init__.py b/megaparse/sdk/src/endpoints/__init__.py new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/megaparse/sdk/src/endpoints/__init__.py @@ -0,0 +1 @@ + diff --git a/megaparse/sdk/src/endpoints/file_upload.py b/megaparse/sdk/src/endpoints/file_upload.py new file mode 100644 index 0000000..e16a2ea --- /dev/null +++ b/megaparse/sdk/src/endpoints/file_upload.py @@ -0,0 +1,34 @@ +from typing import Optional + +from httpx import Response +from llama_parse.utils import Language + +from megaparse.sdk.src.client import MegaParseClient +from megaparse.sdk.utils.type import ParserType, StrategyEnum + + +class FileUpload: + def __init__(self, client: MegaParseClient): + self.client = client + + async def upload( + self, + file_path: str, + method: ParserType = ParserType.UNSTRUCTURED, + strategy: str = StrategyEnum.AUTO, + check_table: bool = False, + language: Language = Language.ENGLISH, + parsing_instruction: Optional[str] = None, + model_name: str = "gpt-4o", + ) -> Response: + with open(file_path, "rb") as file: + files = {"file": (file_path, file)} + data = { + "method": method, + "strategy": strategy, + "check_table": check_table, + "language": language.value, + "parsing_instruction": parsing_instruction, + "model_name": model_name, + } + return await self.client.request("POST", "/v1/file", files=files, data=data) diff --git a/megaparse/sdk/src/endpoints/url_upload.py b/megaparse/sdk/src/endpoints/url_upload.py new file mode 100644 index 0000000..6b392c5 --- /dev/null +++ b/megaparse/sdk/src/endpoints/url_upload.py @@ -0,0 +1,11 @@ +from megaparse.sdk.src.client import MegaParseClient + + +class URLUpload: + def __init__(self, client: MegaParseClient): + self.client = client + + async def upload(self, url: str): + endpoint = f"/v1/url?url={url}" + headers = {"accept": "application/json"} + return await self.client.request("POST", endpoint, headers=headers, data="") diff --git a/megaparse/sdk/utils/type.py b/megaparse/sdk/utils/type.py new file mode 100644 index 0000000..d8c70ac --- /dev/null +++ b/megaparse/sdk/utils/type.py @@ -0,0 +1,17 @@ +from enum import Enum + + +class ParserType(str, Enum): + """Parser type enumeration.""" + + UNSTRUCTURED = "unstructured" + LLAMA_PARSER = "llama_parser" + MEGAPARSE_VISION = "megaparse_vision" + + +class StrategyEnum(str, Enum): + """Method to use for the conversion""" + + FAST = "fast" + AUTO = "auto" + HI_RES = "hi_res" diff --git a/pyproject.toml b/pyproject.toml index d6b3aca..3384859 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -8,25 +8,17 @@ authors = [ ] readme = "README.md" +requires-python = ">= 3.11" + dependencies = [ - "python-docx>=1.1.0", - "mammoth>=1.8.0", - "python-pptx>=1.0.2", - "llama-parse>=0.4.0", - "pdf2docx>=0.5.0", - "unstructured[all-docs]>=0.15.0", - "langchain>=0.2.0", - "langchain-community>=0.2.0", - "langchain-openai>=0.1.0", - "langchain-core>=0.2.0", "python-dotenv>=1.0.0", +] + +[project.optional-dependencies] +all = [ "pycryptodome>=3.21.0", "llama-index>=0.10.0", "pdfplumber>=0.11.0", - "fastapi>=0.115.2", - "uvicorn>=0.32.0", - "ratelimit>=2.2.1", - "requests>=2.32.3", "backoff>=2.2.1", "pypdf>=5.0.1", "psutil>=6.1.0", @@ -34,16 +26,34 @@ dependencies = [ "playwright>=1.47.0", "langchain-anthropic>=0.2.3", "python-magic>=0.4.27", + "unstructured[all-docs]>=0.15.0", + "langchain>=0.2.0", + "langchain-community>=0.2.0", + "langchain-openai>=0.1.0", + "langchain-core>=0.2.0", + "llama-parse>=0.4.0", + "uvicorn>=0.32.0", + "fastapi>=0.115.2", + "ratelimit>=2.2.1", + "requests>=2.32.3", ] -requires-python = ">= 3.11" +[tool.rye.workspace] +members = [ + ".", + "megaparse/sdk" +] + + +[tool.hatch.metadata] +allow-direct-references = true [build-system] requires = ["hatchling"] build-backend = "hatchling.build" [tool.rye] -python = "3.11.9" +python = ">= 3.11" managed = true universal = true dev-dependencies = [ @@ -59,8 +69,39 @@ dev-dependencies = [ "pytest-cov>=5.0.0", ] -[tool.hatch.metadata] -allow-direct-references = true +[tool.ruff] +line-length = 88 +exclude = [".git", "__pycache__", ".mypy_cache", ".pytest_cache"] + +[tool.ruff.lint] +select = [ + "E", # pycodestyle errors + "W", # pycodestyle warnings + "F", # pyflakes + "I", # isort + "C", # flake8-comprehensions + "B", # flake8-bugbear +] +ignore = [ + "B904", + "B006", + "E501", # line too long, handled by black + "B008", # do not perform function calls in argument defaults + "C901", # too complex +] + +[tool.ruff.lint.isort] +order-by-type = true +relative-imports-order = "closest-to-furthest" +extra-standard-library = ["typing"] +section-order = [ + "future", + "standard-library", + "third-party", + "first-party", + "local-folder", +] +known-first-party = [] [tool.hatch.build.targets.wheel] packages = ["megaparse"] diff --git a/requirements-dev.lock b/requirements-dev.lock index 9235985..81632cf 100644 --- a/requirements-dev.lock +++ b/requirements-dev.lock @@ -3,16 +3,17 @@ # # last locked with the following flags: # pre: false -# features: [] -# all-features: true +# features: ["all"] +# all-features: false # with-sources: false # generate-hashes: false # universal: true -e file:. -aiohappyeyeballs==2.4.0 +-e file:megaparse/sdk +aiohappyeyeballs==2.4.3 # via aiohttp -aiohttp==3.10.5 +aiohttp==3.10.10 # via langchain # via langchain-community # via llama-index-core @@ -21,11 +22,11 @@ aiosignal==1.3.1 # via aiohttp annotated-types==0.7.0 # via pydantic -anthropic==0.37.1 +anthropic==0.39.0 # via langchain-anthropic antlr4-python3-runtime==4.9.3 # via omegaconf -anyio==4.4.0 +anyio==4.6.2.post1 # via anthropic # via httpx # via openai @@ -43,35 +44,31 @@ beautifulsoup4==4.12.3 # via bs4 # via llama-index-readers-file # via unstructured -black==24.8.0 +black==24.10.0 # via flake8-black bs4==0.0.2 # via llama-index-readers-file cachetools==5.5.0 # via google-auth -certifi==2024.7.4 +certifi==2024.8.30 # via httpcore # via httpx # via requests - # via unstructured-client -cffi==1.17.0 ; platform_python_implementation != 'PyPy' or implementation_name == 'pypy' +cffi==1.17.1 ; platform_python_implementation != 'PyPy' or implementation_name == 'pypy' # via cryptography # via pyzmq cfgv==3.4.0 # via pre-commit chardet==5.2.0 # via unstructured -charset-normalizer==3.3.2 +charset-normalizer==3.4.0 # via pdfminer-six # via requests - # via unstructured-client click==8.1.7 # via black # via nltk # via python-oxmsg # via uvicorn -cobble==0.1.4 - # via mammoth colorama==0.4.6 ; sys_platform == 'win32' or platform_system == 'Windows' # via click # via ipython @@ -81,12 +78,13 @@ coloredlogs==15.0.1 # via onnxruntime comm==0.2.2 # via ipykernel -contourpy==1.2.1 +contourpy==1.3.0 # via matplotlib -coverage==7.6.1 +coverage==7.6.4 # via pytest-cov -cryptography==43.0.0 +cryptography==43.0.3 # via pdfminer-six + # via unstructured-client cycler==0.12.1 # via matplotlib dataclasses-json==0.6.7 @@ -94,13 +92,10 @@ dataclasses-json==0.6.7 # via llama-index-core # via llama-index-legacy # via unstructured - # via unstructured-client -debugpy==1.8.5 +debugpy==1.8.7 # via ipykernel decorator==5.1.1 # via ipython -deepdiff==7.0.1 - # via unstructured-client defusedxml==0.7.1 # via langchain-anthropic deprecated==1.2.14 @@ -110,24 +105,26 @@ deprecated==1.2.14 dirtyjson==1.0.8 # via llama-index-core # via llama-index-legacy -distlib==0.3.8 +distlib==0.3.9 # via virtualenv distro==1.9.0 # via anthropic # via openai effdet==0.4.1 # via unstructured -emoji==2.12.1 +emoji==2.14.0 # via unstructured -et-xmlfile==1.1.0 +et-xmlfile==2.0.0 # via openpyxl +eval-type-backport==0.2.0 + # via unstructured-client execnet==2.1.1 # via pytest-xdist -executing==2.0.1 +executing==2.1.0 # via stack-data -fastapi==0.115.2 +fastapi==0.115.4 # via megaparse -filelock==3.15.4 +filelock==3.16.1 # via huggingface-hub # via torch # via transformers @@ -135,82 +132,83 @@ filelock==3.15.4 # via virtualenv filetype==1.2.0 # via unstructured -fire==0.6.0 - # via pdf2docx flake8==7.1.1 # via flake8-black flake8-black==0.3.6 flatbuffers==24.3.25 # via onnxruntime -fonttools==4.53.1 +fonttools==4.54.1 # via matplotlib - # via pdf2docx -frozenlist==1.4.1 +frozenlist==1.5.0 # via aiohttp # via aiosignal -fsspec==2024.6.1 +fsspec==2024.10.0 # via huggingface-hub # via llama-index-core # via llama-index-legacy # via torch -google-api-core==2.19.1 +google-api-core==2.22.0 # via google-cloud-vision -google-auth==2.34.0 +google-auth==2.36.0 # via google-api-core # via google-cloud-vision -google-cloud-vision==3.7.4 +google-cloud-vision==3.8.0 # via unstructured -googleapis-common-protos==1.63.2 +googleapis-common-protos==1.65.0 # via google-api-core # via grpcio-status -greenlet==3.0.3 +greenlet==3.1.1 # via playwright # via sqlalchemy -grpcio==1.65.5 +grpcio==1.67.1 # via google-api-core # via grpcio-status -grpcio-status==1.65.5 +grpcio-status==1.67.1 # via google-api-core h11==0.14.0 # via httpcore # via uvicorn -httpcore==1.0.5 +html5lib==1.1 + # via unstructured +httpcore==1.0.6 # via httpx -httpx==0.27.0 +httpx==0.27.2 # via anthropic # via langsmith # via llama-index-core # via llama-index-legacy # via llamaindex-py-client + # via megaparse-sdk # via openai # via unstructured-client -huggingface-hub==0.24.6 +httpx-sse==0.4.0 + # via langchain-community +huggingface-hub==0.26.2 # via timm # via tokenizers # via transformers # via unstructured-inference humanfriendly==10.0 # via coloredlogs -identify==2.6.0 +identify==2.6.1 # via pre-commit -idna==3.7 +idna==3.10 # via anyio # via httpx # via requests - # via unstructured-client # via yarl iniconfig==2.0.0 # via pytest iopath==0.1.10 # via layoutparser ipykernel==6.29.5 -ipython==8.26.0 +ipython==8.29.0 # via ipykernel jedi==0.19.1 # via ipython jinja2==3.1.4 # via torch -jiter==0.5.0 +jiter==0.7.0 # via anthropic # via openai joblib==1.4.2 @@ -221,34 +219,34 @@ jsonpath-python==1.0.6 # via unstructured-client jsonpointer==3.0.0 # via jsonpatch -jupyter-client==8.6.2 +jupyter-client==8.6.3 # via ipykernel jupyter-core==5.7.2 # via ipykernel # via jupyter-client -kiwisolver==1.4.5 +kiwisolver==1.4.7 # via matplotlib -langchain==0.3.4 +langchain==0.3.7 # via langchain-community # via megaparse -langchain-anthropic==0.2.3 +langchain-anthropic==0.2.4 # via megaparse -langchain-community==0.3.3 +langchain-community==0.3.4 # via megaparse -langchain-core==0.3.12 +langchain-core==0.3.15 # via langchain # via langchain-anthropic # via langchain-community # via langchain-openai # via langchain-text-splitters # via megaparse -langchain-openai==0.2.3 +langchain-openai==0.2.6 # via megaparse -langchain-text-splitters==0.3.0 +langchain-text-splitters==0.3.2 # via langchain langdetect==1.0.9 # via unstructured -langsmith==0.1.137 +langsmith==0.1.140 # via langchain # via langchain-community # via langchain-core @@ -259,7 +257,7 @@ llama-index==0.10.9 llama-index-agent-openai==0.1.7 # via llama-index # via llama-index-program-openai -llama-index-core==0.10.67 +llama-index-core==0.10.68.post1 # via llama-index # via llama-index-agent-openai # via llama-index-embeddings-openai @@ -277,7 +275,7 @@ llama-index-indices-managed-llama-cloud==0.1.6 # via llama-index llama-index-legacy==0.9.48.post3 # via llama-index -llama-index-llms-openai==0.1.29 +llama-index-llms-openai==0.1.31 # via llama-index # via llama-index-agent-openai # via llama-index-multi-modal-llms-openai @@ -297,6 +295,7 @@ llama-index-readers-llama-parse==0.1.6 llama-parse==0.4.9 # via llama-index-readers-llama-parse # via megaparse + # via megaparse-sdk llamaindex-py-client==0.1.19 # via llama-index-indices-managed-llama-cloud lxml==5.3.0 @@ -304,15 +303,12 @@ lxml==5.3.0 # via python-docx # via python-pptx # via unstructured -mammoth==1.8.0 - # via megaparse markdown==3.7 # via unstructured -markupsafe==2.1.5 +markupsafe==3.0.2 # via jinja2 -marshmallow==3.21.3 +marshmallow==3.23.1 # via dataclasses-json - # via unstructured-client matplotlib==3.9.2 # via pycocotools # via unstructured-inference @@ -323,21 +319,20 @@ mccabe==0.7.0 # via flake8 mpmath==1.3.0 # via sympy -multidict==6.0.5 +multidict==6.1.0 # via aiohttp # via yarl -mypy==1.11.1 +mypy==1.13.0 mypy-extensions==1.0.0 # via black # via mypy # via typing-inspect - # via unstructured-client nest-asyncio==1.6.0 # via ipykernel # via llama-index-core # via llama-index-legacy # via unstructured-client -networkx==3.3 +networkx==3.4.2 # via llama-index-core # via llama-index-legacy # via torch @@ -360,66 +355,62 @@ numpy==1.26.4 # via onnx # via onnxruntime # via opencv-python - # via opencv-python-headless # via pandas - # via pdf2docx # via pycocotools # via scipy # via torchvision # via transformers # via unstructured -nvidia-cublas-cu12==12.1.3.1 ; platform_machine == 'x86_64' and platform_system == 'Linux' + # via unstructured-inference +nvidia-cublas-cu12==12.4.5.8 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via nvidia-cudnn-cu12 # via nvidia-cusolver-cu12 # via torch -nvidia-cuda-cupti-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-cuda-cupti-cu12==12.4.127 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch -nvidia-cuda-nvrtc-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-cuda-nvrtc-cu12==12.4.127 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch -nvidia-cuda-runtime-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-cuda-runtime-cu12==12.4.127 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch nvidia-cudnn-cu12==9.1.0.70 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch -nvidia-cufft-cu12==11.0.2.54 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-cufft-cu12==11.2.1.3 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch -nvidia-curand-cu12==10.3.2.106 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-curand-cu12==10.3.5.147 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch -nvidia-cusolver-cu12==11.4.5.107 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-cusolver-cu12==11.6.1.9 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch -nvidia-cusparse-cu12==12.1.0.106 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-cusparse-cu12==12.3.1.170 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via nvidia-cusolver-cu12 # via torch -nvidia-nccl-cu12==2.20.5 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-nccl-cu12==2.21.5 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch -nvidia-nvjitlink-cu12==12.6.20 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-nvjitlink-cu12==12.4.127 ; platform_machine == 'x86_64' and platform_system == 'Linux' + # via nvidia-cufft-cu12 # via nvidia-cusolver-cu12 # via nvidia-cusparse-cu12 -nvidia-nvtx-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux' + # via torch +nvidia-nvtx-cu12==12.4.127 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch olefile==0.47 # via python-oxmsg omegaconf==2.3.0 # via effdet -onnx==1.16.2 +onnx==1.17.0 # via unstructured # via unstructured-inference -onnxruntime==1.19.0 +onnxruntime==1.20.0 # via unstructured-inference -openai==1.52.2 +openai==1.54.2 # via langchain-openai - # via llama-index-core # via llama-index-legacy # via llama-index-llms-openai opencv-python==4.10.0.84 # via layoutparser # via unstructured-inference -opencv-python-headless==4.10.0.84 - # via pdf2docx openpyxl==3.1.5 # via unstructured -ordered-set==4.1.0 - # via deepdiff -orjson==3.10.7 +orjson==3.10.11 # via langsmith packaging==24.1 # via black @@ -432,9 +423,8 @@ packaging==24.1 # via pikepdf # via pytest # via transformers - # via unstructured-client # via unstructured-pytesseract -pandas==2.2.2 +pandas==2.2.3 # via layoutparser # via llama-index-core # via llama-index-legacy @@ -443,8 +433,6 @@ parso==0.8.4 # via jedi pathspec==0.12.1 # via black -pdf2docx==0.5.8 - # via megaparse pdf2image==1.17.0 # via layoutparser # via unstructured @@ -456,38 +444,40 @@ pdfplumber==0.11.4 # via megaparse pexpect==4.9.0 ; sys_platform != 'emscripten' and sys_platform != 'win32' # via ipython -pikepdf==9.1.1 +pi-heif==0.20.0 + # via unstructured +pikepdf==9.4.0 # via unstructured -pillow==10.4.0 +pillow==11.0.0 # via layoutparser # via llama-index-core # via matplotlib # via pdf2image # via pdfplumber + # via pi-heif # via pikepdf - # via pillow-heif # via python-pptx # via torchvision # via unstructured-pytesseract -pillow-heif==0.18.0 - # via unstructured -platformdirs==4.2.2 +platformdirs==4.3.6 # via black # via jupyter-core # via virtualenv -playwright==1.47.0 +playwright==1.48.0 # via megaparse pluggy==1.5.0 # via pytest portalocker==2.10.1 # via iopath -pre-commit==3.8.0 -prompt-toolkit==3.0.47 +pre-commit==4.0.1 +prompt-toolkit==3.0.48 # via ipython -proto-plus==1.24.0 +propcache==0.2.0 + # via yarl +proto-plus==1.25.0 # via google-api-core # via google-cloud-vision -protobuf==5.27.3 +protobuf==5.28.3 # via google-api-core # via google-cloud-vision # via googleapis-common-protos @@ -498,15 +488,16 @@ protobuf==5.27.3 psutil==6.1.0 # via ipykernel # via megaparse + # via megaparse-sdk # via unstructured ptyprocess==0.7.0 ; sys_platform != 'emscripten' and sys_platform != 'win32' # via pexpect pure-eval==0.2.3 # via stack-data -pyasn1==0.6.0 +pyasn1==0.6.1 # via pyasn1-modules # via rsa -pyasn1-modules==0.4.0 +pyasn1-modules==0.4.1 # via google-auth pycocotools==2.0.8 # via effdet @@ -516,19 +507,22 @@ pycparser==2.22 ; platform_python_implementation != 'PyPy' or implementation_nam # via cffi pycryptodome==3.21.0 # via megaparse -pydantic==2.8.2 + # via megaparse-sdk +pydantic==2.9.2 # via anthropic # via fastapi # via langchain # via langchain-anthropic # via langchain-core # via langsmith + # via llama-index-core # via llamaindex-py-client # via openai # via pydantic-settings -pydantic-core==2.20.1 + # via unstructured-client +pydantic-core==2.23.4 # via pydantic -pydantic-settings==2.6.0 +pydantic-settings==2.6.1 # via langchain-community pyee==12.0.0 # via playwright @@ -536,57 +530,52 @@ pyflakes==3.2.0 # via flake8 pygments==2.18.0 # via ipython -pymupdf==1.24.9 +pymupdf==1.24.13 # via llama-index-readers-file - # via pdf2docx -pymupdfb==1.24.9 - # via pymupdf pypandoc==1.14 # via unstructured -pyparsing==3.1.2 +pyparsing==3.2.0 # via matplotlib -pypdf==5.0.1 +pypdf==5.1.0 # via megaparse # via unstructured # via unstructured-client pypdfium2==4.30.0 # via pdfplumber -pyreadline3==3.4.1 ; sys_platform == 'win32' +pyreadline3==3.5.4 ; sys_platform == 'win32' # via humanfriendly pytest==8.3.3 # via pytest-asyncio # via pytest-cov # via pytest-xdist -pytest-asyncio==0.23.8 -pytest-cov==5.0.0 +pytest-asyncio==0.24.0 +pytest-cov==6.0.0 pytest-xdist==3.6.1 -python-dateutil==2.9.0.post0 +python-dateutil==2.8.2 # via jupyter-client # via matplotlib # via pandas # via unstructured-client python-docx==1.1.2 - # via megaparse - # via pdf2docx # via unstructured python-dotenv==1.0.1 # via megaparse + # via megaparse-sdk # via pydantic-settings -python-iso639==2024.4.27 +python-iso639==2024.10.22 # via unstructured python-magic==0.4.27 # via megaparse # via unstructured -python-multipart==0.0.9 +python-multipart==0.0.17 # via unstructured-inference python-oxmsg==0.0.1 # via unstructured python-pptx==1.0.2 - # via megaparse # via unstructured -pytz==2024.1 +pytz==2024.2 # via pandas -pywin32==306 ; (platform_python_implementation != 'PyPy' and sys_platform == 'win32') or platform_system == 'Windows' +pywin32==308 ; (platform_python_implementation != 'PyPy' and sys_platform == 'win32') or platform_system == 'Windows' # via jupyter-core # via portalocker pyyaml==6.0.2 @@ -600,15 +589,15 @@ pyyaml==6.0.2 # via pre-commit # via timm # via transformers -pyzmq==26.1.1 +pyzmq==26.2.0 # via ipykernel # via jupyter-client -rapidfuzz==3.9.6 +rapidfuzz==3.10.1 # via unstructured # via unstructured-inference ratelimit==2.2.1 # via megaparse -regex==2024.7.24 +regex==2024.9.11 # via nltk # via tiktoken # via transformers @@ -625,24 +614,24 @@ requests==2.32.3 # via tiktoken # via transformers # via unstructured - # via unstructured-client requests-toolbelt==1.0.0 # via langsmith # via unstructured-client rsa==4.9 # via google-auth -ruff==0.6.1 -safetensors==0.4.4 +ruff==0.7.2 +safetensors==0.4.5 # via timm # via transformers -scipy==1.14.0 +scipy==1.14.1 # via layoutparser +setuptools==75.3.0 + # via torch six==1.16.0 # via asttokens - # via fire + # via html5lib # via langdetect # via python-dateutil - # via unstructured-client sniffio==1.3.1 # via anthropic # via anyio @@ -650,50 +639,45 @@ sniffio==1.3.1 # via openai soupsieve==2.6 # via beautifulsoup4 -sqlalchemy==2.0.32 +sqlalchemy==2.0.36 # via langchain # via langchain-community # via llama-index-core # via llama-index-legacy stack-data==0.6.3 # via ipython -starlette==0.40.0 +starlette==0.41.2 # via fastapi -sympy==1.13.2 +sympy==1.13.1 # via onnxruntime # via torch -tabulate==0.9.0 - # via unstructured tenacity==8.5.0 # via langchain # via langchain-community # via langchain-core # via llama-index-core # via llama-index-legacy -termcolor==2.4.0 - # via fire -tiktoken==0.7.0 +tiktoken==0.8.0 # via langchain-openai # via llama-index-core # via llama-index-legacy -timm==1.0.8 +timm==1.0.11 # via effdet # via unstructured-inference -tokenizers==0.19.1 - # via anthropic +tokenizers==0.20.3 # via transformers -torch==2.4.0 +torch==2.5.1 # via effdet # via timm # via torchvision # via unstructured-inference -torchvision==0.19.0 +torchvision==0.20.1 # via effdet # via timm tornado==6.4.1 # via ipykernel # via jupyter-client -tqdm==4.66.5 +tqdm==4.67.0 # via huggingface-hub # via iopath # via llama-index-core @@ -708,13 +692,12 @@ traitlets==5.14.3 # via jupyter-client # via jupyter-core # via matplotlib-inline -transformers==4.44.0 +transformers==4.46.2 # via unstructured-inference -triton==3.0.0 ; python_full_version < '3.13' and platform_machine == 'x86_64' and platform_system == 'Linux' +triton==3.1.0 ; python_full_version < '3.13' and platform_machine == 'x86_64' and platform_system == 'Linux' # via torch typing-extensions==4.12.2 # via anthropic - # via emoji # via fastapi # via huggingface-hub # via iopath @@ -734,31 +717,31 @@ typing-extensions==4.12.2 # via torch # via typing-inspect # via unstructured - # via unstructured-client typing-inspect==0.9.0 # via dataclasses-json # via llama-index-core # via llama-index-legacy # via unstructured-client -tzdata==2024.1 +tzdata==2024.2 # via pandas -unstructured==0.15.5 +unstructured==0.16.4 # via megaparse -unstructured-client==0.25.5 +unstructured-client==0.27.0 # via unstructured -unstructured-inference==0.7.36 +unstructured-inference==0.8.1 # via unstructured unstructured-pytesseract==0.3.13 # via unstructured -urllib3==2.2.2 +urllib3==2.2.3 # via requests - # via unstructured-client uvicorn==0.32.0 # via megaparse -virtualenv==20.26.3 +virtualenv==20.27.1 # via pre-commit wcwidth==0.2.13 # via prompt-toolkit +webencodings==0.5.1 + # via html5lib wrapt==1.16.0 # via deprecated # via llama-index-core @@ -767,5 +750,5 @@ xlrd==2.0.1 # via unstructured xlsxwriter==3.2.0 # via python-pptx -yarl==1.9.4 +yarl==1.17.1 # via aiohttp diff --git a/requirements.lock b/requirements.lock index 3e11bc3..40ee5db 100644 --- a/requirements.lock +++ b/requirements.lock @@ -3,16 +3,17 @@ # # last locked with the following flags: # pre: false -# features: [] -# all-features: true +# features: ["all"] +# all-features: false # with-sources: false # generate-hashes: false # universal: true -e file:. -aiohappyeyeballs==2.4.0 +-e file:megaparse/sdk +aiohappyeyeballs==2.4.3 # via aiohttp -aiohttp==3.10.5 +aiohttp==3.10.10 # via langchain # via langchain-community # via llama-index-core @@ -21,11 +22,11 @@ aiosignal==1.3.1 # via aiohttp annotated-types==0.7.0 # via pydantic -anthropic==0.37.1 +anthropic==0.39.0 # via langchain-anthropic antlr4-python3-runtime==4.9.3 # via omegaconf -anyio==4.4.0 +anyio==4.6.2.post1 # via anthropic # via httpx # via openai @@ -43,34 +44,31 @@ bs4==0.0.2 # via llama-index-readers-file cachetools==5.5.0 # via google-auth -certifi==2024.7.4 +certifi==2024.8.30 # via httpcore # via httpx # via requests - # via unstructured-client -cffi==1.17.0 ; platform_python_implementation != 'PyPy' +cffi==1.17.1 ; platform_python_implementation != 'PyPy' # via cryptography chardet==5.2.0 # via unstructured -charset-normalizer==3.3.2 +charset-normalizer==3.4.0 # via pdfminer-six # via requests - # via unstructured-client click==8.1.7 # via nltk # via python-oxmsg # via uvicorn -cobble==0.1.4 - # via mammoth colorama==0.4.6 ; platform_system == 'Windows' # via click # via tqdm coloredlogs==15.0.1 # via onnxruntime -contourpy==1.2.1 +contourpy==1.3.0 # via matplotlib -cryptography==43.0.0 +cryptography==43.0.3 # via pdfminer-six + # via unstructured-client cycler==0.12.1 # via matplotlib dataclasses-json==0.6.7 @@ -78,9 +76,6 @@ dataclasses-json==0.6.7 # via llama-index-core # via llama-index-legacy # via unstructured - # via unstructured-client -deepdiff==7.0.1 - # via unstructured-client defusedxml==0.7.1 # via langchain-anthropic deprecated==1.2.14 @@ -95,83 +90,86 @@ distro==1.9.0 # via openai effdet==0.4.1 # via unstructured -emoji==2.12.1 +emoji==2.14.0 # via unstructured -et-xmlfile==1.1.0 +et-xmlfile==2.0.0 # via openpyxl -fastapi==0.115.2 +eval-type-backport==0.2.0 + # via unstructured-client +fastapi==0.115.4 # via megaparse -filelock==3.15.4 +filelock==3.16.1 # via huggingface-hub # via torch # via transformers # via triton filetype==1.2.0 # via unstructured -fire==0.6.0 - # via pdf2docx flatbuffers==24.3.25 # via onnxruntime -fonttools==4.53.1 +fonttools==4.54.1 # via matplotlib - # via pdf2docx -frozenlist==1.4.1 +frozenlist==1.5.0 # via aiohttp # via aiosignal -fsspec==2024.6.1 +fsspec==2024.10.0 # via huggingface-hub # via llama-index-core # via llama-index-legacy # via torch -google-api-core==2.19.1 +google-api-core==2.22.0 # via google-cloud-vision -google-auth==2.34.0 +google-auth==2.36.0 # via google-api-core # via google-cloud-vision -google-cloud-vision==3.7.4 +google-cloud-vision==3.8.0 # via unstructured -googleapis-common-protos==1.63.2 +googleapis-common-protos==1.65.0 # via google-api-core # via grpcio-status -greenlet==3.0.3 +greenlet==3.1.1 # via playwright # via sqlalchemy -grpcio==1.65.5 +grpcio==1.67.1 # via google-api-core # via grpcio-status -grpcio-status==1.65.5 +grpcio-status==1.67.1 # via google-api-core h11==0.14.0 # via httpcore # via uvicorn -httpcore==1.0.5 +html5lib==1.1 + # via unstructured +httpcore==1.0.6 # via httpx -httpx==0.27.0 +httpx==0.27.2 # via anthropic # via langsmith # via llama-index-core # via llama-index-legacy # via llamaindex-py-client + # via megaparse-sdk # via openai # via unstructured-client -huggingface-hub==0.24.6 +httpx-sse==0.4.0 + # via langchain-community +huggingface-hub==0.26.2 # via timm # via tokenizers # via transformers # via unstructured-inference humanfriendly==10.0 # via coloredlogs -idna==3.7 +idna==3.10 # via anyio # via httpx # via requests - # via unstructured-client # via yarl iopath==0.1.10 # via layoutparser jinja2==3.1.4 # via torch -jiter==0.5.0 +jiter==0.7.0 # via anthropic # via openai joblib==1.4.2 @@ -182,29 +180,29 @@ jsonpath-python==1.0.6 # via unstructured-client jsonpointer==3.0.0 # via jsonpatch -kiwisolver==1.4.5 +kiwisolver==1.4.7 # via matplotlib -langchain==0.3.4 +langchain==0.3.7 # via langchain-community # via megaparse -langchain-anthropic==0.2.3 +langchain-anthropic==0.2.4 # via megaparse -langchain-community==0.3.3 +langchain-community==0.3.4 # via megaparse -langchain-core==0.3.12 +langchain-core==0.3.15 # via langchain # via langchain-anthropic # via langchain-community # via langchain-openai # via langchain-text-splitters # via megaparse -langchain-openai==0.2.3 +langchain-openai==0.2.6 # via megaparse -langchain-text-splitters==0.3.0 +langchain-text-splitters==0.3.2 # via langchain langdetect==1.0.9 # via unstructured -langsmith==0.1.137 +langsmith==0.1.140 # via langchain # via langchain-community # via langchain-core @@ -215,7 +213,7 @@ llama-index==0.10.9 llama-index-agent-openai==0.1.7 # via llama-index # via llama-index-program-openai -llama-index-core==0.10.67 +llama-index-core==0.10.68.post1 # via llama-index # via llama-index-agent-openai # via llama-index-embeddings-openai @@ -233,7 +231,7 @@ llama-index-indices-managed-llama-cloud==0.1.6 # via llama-index llama-index-legacy==0.9.48.post3 # via llama-index -llama-index-llms-openai==0.1.29 +llama-index-llms-openai==0.1.31 # via llama-index # via llama-index-agent-openai # via llama-index-multi-modal-llms-openai @@ -253,6 +251,7 @@ llama-index-readers-llama-parse==0.1.6 llama-parse==0.4.9 # via llama-index-readers-llama-parse # via megaparse + # via megaparse-sdk llamaindex-py-client==0.1.19 # via llama-index-indices-managed-llama-cloud lxml==5.3.0 @@ -260,31 +259,27 @@ lxml==5.3.0 # via python-docx # via python-pptx # via unstructured -mammoth==1.8.0 - # via megaparse markdown==3.7 # via unstructured -markupsafe==2.1.5 +markupsafe==3.0.2 # via jinja2 -marshmallow==3.21.3 +marshmallow==3.23.1 # via dataclasses-json - # via unstructured-client matplotlib==3.9.2 # via pycocotools # via unstructured-inference mpmath==1.3.0 # via sympy -multidict==6.0.5 +multidict==6.1.0 # via aiohttp # via yarl mypy-extensions==1.0.0 # via typing-inspect - # via unstructured-client nest-asyncio==1.6.0 # via llama-index-core # via llama-index-legacy # via unstructured-client -networkx==3.3 +networkx==3.4.2 # via llama-index-core # via llama-index-legacy # via torch @@ -305,66 +300,62 @@ numpy==1.26.4 # via onnx # via onnxruntime # via opencv-python - # via opencv-python-headless # via pandas - # via pdf2docx # via pycocotools # via scipy # via torchvision # via transformers # via unstructured -nvidia-cublas-cu12==12.1.3.1 ; platform_machine == 'x86_64' and platform_system == 'Linux' + # via unstructured-inference +nvidia-cublas-cu12==12.4.5.8 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via nvidia-cudnn-cu12 # via nvidia-cusolver-cu12 # via torch -nvidia-cuda-cupti-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-cuda-cupti-cu12==12.4.127 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch -nvidia-cuda-nvrtc-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-cuda-nvrtc-cu12==12.4.127 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch -nvidia-cuda-runtime-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-cuda-runtime-cu12==12.4.127 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch nvidia-cudnn-cu12==9.1.0.70 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch -nvidia-cufft-cu12==11.0.2.54 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-cufft-cu12==11.2.1.3 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch -nvidia-curand-cu12==10.3.2.106 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-curand-cu12==10.3.5.147 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch -nvidia-cusolver-cu12==11.4.5.107 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-cusolver-cu12==11.6.1.9 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch -nvidia-cusparse-cu12==12.1.0.106 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-cusparse-cu12==12.3.1.170 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via nvidia-cusolver-cu12 # via torch -nvidia-nccl-cu12==2.20.5 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-nccl-cu12==2.21.5 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch -nvidia-nvjitlink-cu12==12.6.20 ; platform_machine == 'x86_64' and platform_system == 'Linux' +nvidia-nvjitlink-cu12==12.4.127 ; platform_machine == 'x86_64' and platform_system == 'Linux' + # via nvidia-cufft-cu12 # via nvidia-cusolver-cu12 # via nvidia-cusparse-cu12 -nvidia-nvtx-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux' + # via torch +nvidia-nvtx-cu12==12.4.127 ; platform_machine == 'x86_64' and platform_system == 'Linux' # via torch olefile==0.47 # via python-oxmsg omegaconf==2.3.0 # via effdet -onnx==1.16.2 +onnx==1.17.0 # via unstructured # via unstructured-inference -onnxruntime==1.19.0 +onnxruntime==1.20.0 # via unstructured-inference -openai==1.52.2 +openai==1.54.2 # via langchain-openai - # via llama-index-core # via llama-index-legacy # via llama-index-llms-openai opencv-python==4.10.0.84 # via layoutparser # via unstructured-inference -opencv-python-headless==4.10.0.84 - # via pdf2docx openpyxl==3.1.5 # via unstructured -ordered-set==4.1.0 - # via deepdiff -orjson==3.10.7 +orjson==3.10.11 # via langsmith packaging==24.1 # via huggingface-hub @@ -374,15 +365,12 @@ packaging==24.1 # via onnxruntime # via pikepdf # via transformers - # via unstructured-client # via unstructured-pytesseract -pandas==2.2.2 +pandas==2.2.3 # via layoutparser # via llama-index-core # via llama-index-legacy # via unstructured -pdf2docx==0.5.8 - # via megaparse pdf2image==1.17.0 # via layoutparser # via unstructured @@ -392,29 +380,31 @@ pdfminer-six==20231228 pdfplumber==0.11.4 # via layoutparser # via megaparse -pikepdf==9.1.1 +pi-heif==0.20.0 + # via unstructured +pikepdf==9.4.0 # via unstructured -pillow==10.4.0 +pillow==11.0.0 # via layoutparser # via llama-index-core # via matplotlib # via pdf2image # via pdfplumber + # via pi-heif # via pikepdf - # via pillow-heif # via python-pptx # via torchvision # via unstructured-pytesseract -pillow-heif==0.18.0 - # via unstructured -playwright==1.47.0 +playwright==1.48.0 # via megaparse portalocker==2.10.1 # via iopath -proto-plus==1.24.0 +propcache==0.2.0 + # via yarl +proto-plus==1.25.0 # via google-api-core # via google-cloud-vision -protobuf==5.27.3 +protobuf==5.28.3 # via google-api-core # via google-cloud-vision # via googleapis-common-protos @@ -424,11 +414,12 @@ protobuf==5.27.3 # via proto-plus psutil==6.1.0 # via megaparse + # via megaparse-sdk # via unstructured -pyasn1==0.6.0 +pyasn1==0.6.1 # via pyasn1-modules # via rsa -pyasn1-modules==0.4.0 +pyasn1-modules==0.4.1 # via google-auth pycocotools==2.0.8 # via effdet @@ -436,65 +427,63 @@ pycparser==2.22 ; platform_python_implementation != 'PyPy' # via cffi pycryptodome==3.21.0 # via megaparse -pydantic==2.8.2 + # via megaparse-sdk +pydantic==2.9.2 # via anthropic # via fastapi # via langchain # via langchain-anthropic # via langchain-core # via langsmith + # via llama-index-core # via llamaindex-py-client # via openai # via pydantic-settings -pydantic-core==2.20.1 + # via unstructured-client +pydantic-core==2.23.4 # via pydantic -pydantic-settings==2.6.0 +pydantic-settings==2.6.1 # via langchain-community pyee==12.0.0 # via playwright -pymupdf==1.24.9 +pymupdf==1.24.13 # via llama-index-readers-file - # via pdf2docx -pymupdfb==1.24.9 - # via pymupdf pypandoc==1.14 # via unstructured -pyparsing==3.1.2 +pyparsing==3.2.0 # via matplotlib -pypdf==5.0.1 +pypdf==5.1.0 # via megaparse # via unstructured # via unstructured-client pypdfium2==4.30.0 # via pdfplumber -pyreadline3==3.4.1 ; sys_platform == 'win32' +pyreadline3==3.5.4 ; sys_platform == 'win32' # via humanfriendly -python-dateutil==2.9.0.post0 +python-dateutil==2.8.2 # via matplotlib # via pandas # via unstructured-client python-docx==1.1.2 - # via megaparse - # via pdf2docx # via unstructured python-dotenv==1.0.1 # via megaparse + # via megaparse-sdk # via pydantic-settings -python-iso639==2024.4.27 +python-iso639==2024.10.22 # via unstructured python-magic==0.4.27 # via megaparse # via unstructured -python-multipart==0.0.9 +python-multipart==0.0.17 # via unstructured-inference python-oxmsg==0.0.1 # via unstructured python-pptx==1.0.2 - # via megaparse # via unstructured -pytz==2024.1 +pytz==2024.2 # via pandas -pywin32==306 ; platform_system == 'Windows' +pywin32==308 ; platform_system == 'Windows' # via portalocker pyyaml==6.0.2 # via huggingface-hub @@ -506,12 +495,12 @@ pyyaml==6.0.2 # via omegaconf # via timm # via transformers -rapidfuzz==3.9.6 +rapidfuzz==3.10.1 # via unstructured # via unstructured-inference ratelimit==2.2.1 # via megaparse -regex==2024.7.24 +regex==2024.9.11 # via nltk # via tiktoken # via transformers @@ -528,22 +517,22 @@ requests==2.32.3 # via tiktoken # via transformers # via unstructured - # via unstructured-client requests-toolbelt==1.0.0 # via langsmith # via unstructured-client rsa==4.9 # via google-auth -safetensors==0.4.4 +safetensors==0.4.5 # via timm # via transformers -scipy==1.14.0 +scipy==1.14.1 # via layoutparser +setuptools==75.3.0 + # via torch six==1.16.0 - # via fire + # via html5lib # via langdetect # via python-dateutil - # via unstructured-client sniffio==1.3.1 # via anthropic # via anyio @@ -551,45 +540,40 @@ sniffio==1.3.1 # via openai soupsieve==2.6 # via beautifulsoup4 -sqlalchemy==2.0.32 +sqlalchemy==2.0.36 # via langchain # via langchain-community # via llama-index-core # via llama-index-legacy -starlette==0.40.0 +starlette==0.41.2 # via fastapi -sympy==1.13.2 +sympy==1.13.1 # via onnxruntime # via torch -tabulate==0.9.0 - # via unstructured tenacity==8.5.0 # via langchain # via langchain-community # via langchain-core # via llama-index-core # via llama-index-legacy -termcolor==2.4.0 - # via fire -tiktoken==0.7.0 +tiktoken==0.8.0 # via langchain-openai # via llama-index-core # via llama-index-legacy -timm==1.0.8 +timm==1.0.11 # via effdet # via unstructured-inference -tokenizers==0.19.1 - # via anthropic +tokenizers==0.20.3 # via transformers -torch==2.4.0 +torch==2.5.1 # via effdet # via timm # via torchvision # via unstructured-inference -torchvision==0.19.0 +torchvision==0.20.1 # via effdet # via timm -tqdm==4.66.5 +tqdm==4.67.0 # via huggingface-hub # via iopath # via llama-index-core @@ -597,13 +581,12 @@ tqdm==4.66.5 # via openai # via transformers # via unstructured -transformers==4.44.0 +transformers==4.46.2 # via unstructured-inference -triton==3.0.0 ; python_full_version < '3.13' and platform_machine == 'x86_64' and platform_system == 'Linux' +triton==3.1.0 ; python_full_version < '3.13' and platform_machine == 'x86_64' and platform_system == 'Linux' # via torch typing-extensions==4.12.2 # via anthropic - # via emoji # via fastapi # via huggingface-hub # via iopath @@ -621,27 +604,27 @@ typing-extensions==4.12.2 # via torch # via typing-inspect # via unstructured - # via unstructured-client typing-inspect==0.9.0 # via dataclasses-json # via llama-index-core # via llama-index-legacy # via unstructured-client -tzdata==2024.1 +tzdata==2024.2 # via pandas -unstructured==0.15.5 +unstructured==0.16.4 # via megaparse -unstructured-client==0.25.5 +unstructured-client==0.27.0 # via unstructured -unstructured-inference==0.7.36 +unstructured-inference==0.8.1 # via unstructured unstructured-pytesseract==0.3.13 # via unstructured -urllib3==2.2.2 +urllib3==2.2.3 # via requests - # via unstructured-client uvicorn==0.32.0 # via megaparse +webencodings==0.5.1 + # via html5lib wrapt==1.16.0 # via deprecated # via llama-index-core @@ -650,5 +633,5 @@ xlrd==2.0.1 # via unstructured xlsxwriter==3.2.0 # via python-pptx -yarl==1.9.4 +yarl==1.17.1 # via aiohttp diff --git a/tests/data/grt_example/MegaFake_report.md b/tests/data/grt_example/MegaFake_report.md new file mode 100644 index 0000000..3a696bb --- /dev/null +++ b/tests/data/grt_example/MegaFake_report.md @@ -0,0 +1,86 @@ +| My Mega fake report | #1756394 | 31/05/2024 | +|---------------------|----------|------------| + +## Why Mega Parse might be the best ? + +### Introduction + +Mega Parse is a state-of-the-art document parser designed to convert various document formats such as PDF, DOCX, PPTX, and more into Markdown (MD) format, making them ready for Retrieval-Augmented Generation (RAG) ingestion. In today's data-driven world, the ability to efficiently manage and utilize large volumes of information is crucial. This report explores the features, benefits, and comparative performance of Mega Parse, illustrating why it stands out as a superior tool in the realm of document parsing. + +### Features of Mega Parse + +Mega Parse boasts an impressive array of features tailored to meet the diverse needs of modern enterprises. + +**Multiple Format Support:** Mega Parse supports a wide range of document formats including PDF, DOCX, and PPTX. This versatility allows users to handle various document types without needing multiple tools. Whether you are working with text documents, presentations, or scanned PDFs, Mega Parse has you covered. + +**High-Speed Processing:** One of the standout features of Mega Parse is its ability to convert documents at a rapid pace. With processing speeds of up to 120 pages per minute, it significantly enhances productivity by reducing the time spent on document conversion. + +**Markdown Output:** Mega Parse converts documents into a structured Markdown format. Markdown is a lightweight markup language with plain text formatting syntax, which is widely used because of its simplicity and ease of conversion to other formats. This makes it ideal for RAG ingestion, where structured and easily interpretable data is paramount. + +Accuracy: Accuracy in text extraction and formatting is a critical aspect of any document parser. Mega Parse ensures high accuracy, maintaining the integrity and structure of the original documents. This is particularly important for documents that contain complex formatting and embedded elements. + +Customizable Parsing Rules: Users can define custom parsing rules to suit specific needs, allowing for greater control over the conversion process. This flexibility ensures that Mega Parse can be adapted to a wide variety of use cases. + +Batch Processing: Mega Parse supports batch processing, enabling the simultaneous conversion of multiple documents. This feature is particularly useful for organizations dealing with large volumes of documents, as it streamlines the workflow and saves time. + +Error Handling: Advanced error handling capabilities ensure that any issues encountered during the conversion process are managed effectively, minimizing disruptions and maintaining workflow efficiency. + +# Benefits of Mega Parse + +The implementation of Mega Parse offers numerous benefits that can transform the way organizations manage their documents. + +**Efficiency:** By significantly speeding up the document conversion process, Mega Parse increases overall efficiency. This is especially beneficial for industries that handle large volumes of documents on a daily basis, such as legal firms, financial institutions, and research organizations. + +**Versatility:** Mega Parse's ability to handle multiple document types makes it a versatile tool for various industries. Whether you need to convert legal documents, technical manuals, or business presentations, Mega Parse is equipped to handle the task. + +**Enhanced Knowledge Management:** Converting documents to Markdown facilitates easier content management and retrieval. Markdown files are not only lightweight but +also highly compatible with various knowledge management systems, making it easier to organize, search, and utilize information. + +Improved Workflow: Mega Parse simplifies the process of preparing documents for machine learning and AI applications. By converting documents into a structured format, it reduces the time and effort required to preprocess data, allowing teams to focus on higher-level tasks. + +Cost Savings: The efficiency and speed of Mega Parse can lead to significant cost savings. Reduced processing times and improved workflow efficiency mean that resources can be allocated more effectively, ultimately lowering operational costs. + +Scalability: Mega Parse is designed to scale with the needs of an organization. As document volumes grow, Mega Parse can handle the increased load without compromising performance, making it a future-proof solution for document management. + +# Comparative Performance + +The following table provides a comprehensive comparative analysis of Mega Parse against other document parsers based on fictional performance metrics. This comparison highlights the strengths of Mega Parse in various key areas. + +| Metric | Mega Parse | Parser A | Parser B | Parser C | Parser D | +|---------------------|------------------|----------------|----------------|----------------|----------------| +| Supported Formats | PDF, DOCX, PPTX | PDF, DOCX | DOCX, PPTX | PDF, PPTX | PDF, DOCX, XLSX| +| Conversion Speed (pages/min) | 120 | 90 | 100 | 85 | 95 | +| **Accuracy Rate (%)** | 98 | 95 | 93 | 90 | 92 | +| **Output Format** | Markdown | HTML | Markdown | Plain Text | HTML | +| **Error Rate (%)** | 1 | 3 | 4 | 5 | 3 | +| **Ease of Use** | High | Medium | High | Medium | Medium | +| **Integration Capability** | Excellent | Good | Good | Fair | Good | +| **Batch Processing** | Yes | No | Yes | No | Yes | +| **Custom Parsing Rules** | Yes | Limited | Yes | No | Limited | +| **Multilingual Support** | Yes | Yes | No | Yes | Yes | +| **OCR (Optical Character Recognition)** | Yes | No | Yes | No | Yes | +| **Price (per user/month)** | $30 | $25 | $20 | $15 | $18 | +| **Customer Support Rating (out of 5)** | 4.8 | 4.2 | 4.5 | 3.9 | 4.1 | +| **Free Trial Available** | Yes | Yes | No | Yes | No | +| **Cloud Integration** | Yes | No | Yes | Yes | No | +| **Security Features** | Advanced | Basic | Advanced | Basic | Intermediate | +| **User Community Size** | Large | Medium | Medium | Small | Medium | +| **Monthly Updates** | Yes | Yes | No | Yes | No | +| **Mobile App Availability** | Yes | No | Yes | No | Yes | +| **Platform Compatibility** | Windows, Mac, Linux | Windows, Mac | Windows | Mac, Linux | Windows, Linux | +| **Data Privacy Compliance** | High | Medium | High | Low | Medium | +| **AI-Driven Enhancements** | Yes | No | Yes | No | Yes | +| **File Size Limit (per document)** | 1GB | 500MB | 750MB | 200MB | 500MB | +| **User Training Resources** | Extensive | Moderate | Extensive | Limited | Moderate | +| **API Access** | Yes | No | Yes | No | Yes | +| **Customizable Output Templates** | Yes | Limited | Yes | No | Yes | +| **Collaboration Features** | Yes | No | Yes | No | Limited | +| **Document Version Control** | Yes | No | Yes | No | Yes | +| **Import/Export Options** | Extensive | Moderate | Extensive | Limited | Moderate | +| Feedback Mechanism | Yes | No | Yes | No | Yes | + +*Note: All data presented in this table is fictional and for illustrative purposes only.* + +## Conclusion + +Mega Parse stands out as a leading document parser due to its extensive format support, high-speed processing, and accuracy. Its ability to convert a variety of document types into Markdown format makes it an invaluable tool for organizations looking to streamline their document management processes and enhance their knowledge management systems. With features like customizable parsing rules, batch processing, and advanced error handling, Mega Parse is well-equipped to meet the demands of modern enterprises. Its scalability and cost-effectiveness further reinforce its position as a top choice for document parsing and conversion needs. By leveraging Mega Parse, organizations can improve their workflow efficiency, reduce operational costs, and better manage their information assets in the age of big data and artificial intelligence. \ No newline at end of file diff --git a/tests/pdf/test_pdf_processing.py b/tests/pdf/test_pdf_processing.py index aeb7060..de74446 100644 --- a/tests/pdf/test_pdf_processing.py +++ b/tests/pdf/test_pdf_processing.py @@ -1,14 +1,9 @@ from pathlib import Path -from uuid import uuid4 import pytest -from langchain_openai import ChatOpenAI -from megaparse.core.parser.llama import LlamaParser -from megaparse.core.parser.type import StrategyEnum -from megaparse.core.parser.unstructured_parser import UnstructuredParser -from megaparse.core.parser.megaparse_vision import MegaParseVision from megaparse.core.megaparse import MegaParse +from megaparse.core.parser.unstructured_parser import UnstructuredParser def test_get_default_processors_megaparse(): diff --git a/tests/test_endpoints.py b/tests/test_endpoints.py index 07f6b4a..abcfba2 100644 --- a/tests/test_endpoints.py +++ b/tests/test_endpoints.py @@ -1,4 +1,3 @@ -# tests/test_endpoints.py import pytest