mirror of
https://github.com/QuivrHQ/quivr.git
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feat: add megaparse (#2785)
Add megaparse as the main parser --------- Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
This commit is contained in:
Chloé Daems
GitHub
parent
ce5fce4d63
commit
913217f682
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backend/api/poetry.lock
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@ -14,6 +14,7 @@ readme = "README.md"
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[tool.poetry.dependencies]
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quivr-core = { path = "../core", develop = true }
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python = "^3.11"
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torch = [
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{ version = "2.3.1", source = "pypi", platform = "darwin" },
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{ version = "2.3.1", source = "pypi", platform = "linux", markers = "platform_machine != 'x86_64'" },
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@ -87,6 +88,8 @@ google-auth-oauthlib = "*"
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msal = "*"
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sentry-sdk = { version = "^2.5.0", extras = ["fastapi"] }
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sqlmodel = "^0.0.19"
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megaparse = "0.0.19"
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[tool.poetry.group.dev.dependencies]
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mypy = "^1.10.0"
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@ -42,7 +42,7 @@ class File(BaseModel):
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"""
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logger.info(f"Computing documents from file {self.file_name}")
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loader = loader_class(self.tmp_file_path)
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documents = loader.load()
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documents = [loader.load()]
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text_splitter = RecursiveCharacterTextSplitter.from_tiktoken_encoder(
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chunk_size=self.chunk_size, chunk_overlap=self.chunk_overlap
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@ -1,11 +1,8 @@
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import asyncio
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import os
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import tempfile
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import time
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import nest_asyncio
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import tiktoken
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import uvloop
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from langchain.schema import Document
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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from llama_parse import LlamaParse
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@ -15,9 +12,6 @@ from quivr_api.modules.brain.service.brain_vector_service import BrainVectorServ
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from quivr_api.modules.upload.service.upload_file import DocumentSerializable
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from quivr_api.packages.embeddings.vectors import Neurons
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if not isinstance(asyncio.get_event_loop(), uvloop.Loop):
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nest_asyncio.apply()
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logger = get_logger(__name__)
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@ -1,4 +1,4 @@
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from langchain_community.document_loaders import UnstructuredPDFLoader
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from megaparse.Converter import MegaParse
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from quivr_api.models.files import File
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from .common import process_file
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@ -13,7 +13,7 @@ def process_pdf(
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):
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return process_file(
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file=file,
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loader_class=UnstructuredPDFLoader,
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loader_class=MegaParse,
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brain_id=brain_id,
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original_file_name=original_file_name,
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integration=integration,
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670
backend/poetry.lock
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670
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@ -402,17 +402,17 @@ uvloop = ["uvloop (>=0.15.2)"]
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[[package]]
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name = "boto3"
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version = "1.34.135"
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version = "1.34.136"
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description = "The AWS SDK for Python"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "boto3-1.34.135-py3-none-any.whl", hash = "sha256:6f5d7a20afbe45e3f7c6b5e96071752d36c3942535b1f7924964f1fdf25376a7"},
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{file = "boto3-1.34.135.tar.gz", hash = "sha256:344f635233c85dbb509b87638232ff9132739f90bb5e6bf01fa0e0a521a9107e"},
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{file = "boto3-1.34.136-py3-none-any.whl", hash = "sha256:d41037e2c680ab8d6c61a0a4ee6bf1fdd9e857f43996672830a95d62d6f6fa79"},
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{file = "boto3-1.34.136.tar.gz", hash = "sha256:0314e6598f59ee0f34eb4e6d1a0f69fa65c146d2b88a6e837a527a9956ec2731"},
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]
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[package.dependencies]
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botocore = ">=1.34.135,<1.35.0"
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botocore = ">=1.34.136,<1.35.0"
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jmespath = ">=0.7.1,<2.0.0"
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s3transfer = ">=0.10.0,<0.11.0"
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@ -421,13 +421,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
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[[package]]
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name = "botocore"
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version = "1.34.135"
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version = "1.34.136"
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description = "Low-level, data-driven core of boto 3."
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "botocore-1.34.135-py3-none-any.whl", hash = "sha256:3aa9e85e7c479babefb5a590e844435449df418085f3c74d604277bc52dc3109"},
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{file = "botocore-1.34.135.tar.gz", hash = "sha256:2e72f37072f75cb1391fca9d7a4c32cecb52a3557d62431d0f59d5311dc7d0cf"},
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{file = "botocore-1.34.136-py3-none-any.whl", hash = "sha256:c63fe9032091fb9e9477706a3ebfa4d0c109b807907051d892ed574f9b573e61"},
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{file = "botocore-1.34.136.tar.gz", hash = "sha256:7f7135178692b39143c8f152a618d2a3b71065a317569a7102d2306d4946f42f"},
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]
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[package.dependencies]
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@ -771,6 +771,17 @@ prompt-toolkit = ">=3.0.36"
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[package.extras]
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testing = ["pytest (>=7.2.1)", "pytest-cov (>=4.0.0)", "tox (>=4.4.3)"]
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[[package]]
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name = "cobble"
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version = "0.1.4"
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description = "Create data objects"
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optional = false
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python-versions = ">=3.5"
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files = [
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{file = "cobble-0.1.4-py3-none-any.whl", hash = "sha256:36c91b1655e599fd428e2b95fdd5f0da1ca2e9f1abb0bc871dec21a0e78a2b44"},
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{file = "cobble-0.1.4.tar.gz", hash = "sha256:de38be1539992c8a06e569630717c485a5f91be2192c461ea2b220607dfa78aa"},
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]
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[[package]]
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name = "cohere"
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version = "5.5.8"
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@ -1589,6 +1600,20 @@ files = [
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{file = "filetype-1.2.0.tar.gz", hash = "sha256:66b56cd6474bf41d8c54660347d37afcc3f7d1970648de365c102ef77548aadb"},
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]
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[[package]]
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name = "fire"
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version = "0.6.0"
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description = "A library for automatically generating command line interfaces."
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optional = false
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python-versions = "*"
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files = [
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{file = "fire-0.6.0.tar.gz", hash = "sha256:54ec5b996ecdd3c0309c800324a0703d6da512241bc73b553db959d98de0aa66"},
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]
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[package.dependencies]
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six = "*"
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termcolor = "*"
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[[package]]
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name = "flake8"
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version = "7.1.0"
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@ -2329,109 +2354,6 @@ files = [
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{file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"},
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]
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[[package]]
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name = "ijson"
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version = "3.3.0"
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description = "Iterative JSON parser with standard Python iterator interfaces"
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optional = false
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python-versions = "*"
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files = [
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||||
|
||||
[[package]]
|
||||
name = "importlib-metadata"
|
||||
version = "8.0.0"
|
||||
@ -2496,13 +2418,13 @@ aws = ["boto3"]
|
||||
|
||||
[[package]]
|
||||
name = "ipykernel"
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||||
version = "6.29.4"
|
||||
version = "6.29.5"
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description = "IPython Kernel for Jupyter"
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optional = false
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python-versions = ">=3.8"
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files = [
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]
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[package.dependencies]
|
||||
@ -2750,6 +2672,41 @@ files = [
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[[package]]
|
||||
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|
||||
version = "4.22.0"
|
||||
description = "An implementation of JSON Schema validation for Python"
|
||||
optional = false
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python-versions = ">=3.8"
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[package.dependencies]
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referencing = ">=0.28.4"
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rpds-py = ">=0.7.1"
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[package.extras]
|
||||
format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
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||||
format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
|
||||
|
||||
[[package]]
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||||
name = "jsonschema-specifications"
|
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version = "2023.12.1"
|
||||
description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
|
||||
optional = false
|
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python-versions = ">=3.8"
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[[package]]
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|
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@ -3031,13 +2988,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "langchain-openai"
|
||||
version = "0.1.11"
|
||||
version = "0.1.13"
|
||||
description = "An integration package connecting OpenAI and LangChain"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
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|
||||
|
||||
[package.dependencies]
|
||||
@ -3099,13 +3056,13 @@ openai = ["openai (>=0.27.8)"]
|
||||
|
||||
[[package]]
|
||||
name = "langgraph"
|
||||
version = "0.1.3"
|
||||
version = "0.1.4"
|
||||
description = "Building stateful, multi-actor applications with LLMs"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.9.0"
|
||||
files = [
|
||||
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|
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -3166,21 +3123,21 @@ tesseract = ["pytesseract"]
|
||||
|
||||
[[package]]
|
||||
name = "litellm"
|
||||
version = "1.40.29"
|
||||
version = "1.41.2"
|
||||
description = "Library to easily interface with LLM API providers"
|
||||
optional = false
|
||||
python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
|
||||
files = [
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|
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|
||||
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
aiohttp = "*"
|
||||
click = "*"
|
||||
ijson = "*"
|
||||
importlib-metadata = ">=6.8.0"
|
||||
jinja2 = ">=3.1.2,<4.0.0"
|
||||
jsonschema = ">=4.22.0,<5.0.0"
|
||||
openai = ">=1.27.0"
|
||||
pydantic = ">=2.0.0,<3.0.0"
|
||||
python-dotenv = ">=0.2.0"
|
||||
@ -3209,19 +3166,19 @@ pydantic = ">=1.10"
|
||||
|
||||
[[package]]
|
||||
name = "llama-index"
|
||||
version = "0.10.50"
|
||||
version = "0.10.51"
|
||||
description = "Interface between LLMs and your data"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
llama-index-agent-openai = ">=0.1.4,<0.3.0"
|
||||
llama-index-cli = ">=0.1.2,<0.2.0"
|
||||
llama-index-core = "0.10.50"
|
||||
llama-index-core = "0.10.51"
|
||||
llama-index-embeddings-openai = ">=0.1.5,<0.2.0"
|
||||
llama-index-indices-managed-llama-cloud = ">=0.2.0"
|
||||
llama-index-legacy = ">=0.9.48,<0.10.0"
|
||||
@ -3266,13 +3223,13 @@ llama-index-llms-openai = ">=0.1.1,<0.2.0"
|
||||
|
||||
[[package]]
|
||||
name = "llama-index-core"
|
||||
version = "0.10.50"
|
||||
version = "0.10.51"
|
||||
description = "Interface between LLMs and your data"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "llama_index_core-0.10.50-py3-none-any.whl", hash = "sha256:8a1fc49d65156002bb7f4c82458385ee440bd11f81d1bc39ed03ce94f53c9c74"},
|
||||
{file = "llama_index_core-0.10.50.tar.gz", hash = "sha256:9e64dd54b19aca235b360b2f81d6f93014f1439304cc9369a0e53e4cba9e33aa"},
|
||||
{file = "llama_index_core-0.10.51-py3-none-any.whl", hash = "sha256:34051f188258bfb71335e018dcdf54291ef4feda15cadebb9be0402e98bd1d27"},
|
||||
{file = "llama_index_core-0.10.51.tar.gz", hash = "sha256:40b7052a6127810032b2d0b6abd72dd1767d8dd589c0f13747c4307942e81dd5"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -3316,13 +3273,13 @@ llama-index-core = ">=0.10.1,<0.11.0"
|
||||
|
||||
[[package]]
|
||||
name = "llama-index-indices-managed-llama-cloud"
|
||||
version = "0.2.1"
|
||||
version = "0.2.2"
|
||||
description = "llama-index indices llama-cloud integration"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "llama_index_indices_managed_llama_cloud-0.2.1-py3-none-any.whl", hash = "sha256:69abd37bc7b57abcea841eea2a89cb0adee29bce3fd05c61e3082ae50f047b87"},
|
||||
{file = "llama_index_indices_managed_llama_cloud-0.2.1.tar.gz", hash = "sha256:b07fa606f1085e22918d2d45e00ab86f3430f36057e115322bd360b695eef565"},
|
||||
{file = "llama_index_indices_managed_llama_cloud-0.2.2-py3-none-any.whl", hash = "sha256:30c73a77fc54fa83c4a183fcdc3b5138a6b709a6fefc9539d0cb0c6315b0f2fc"},
|
||||
{file = "llama_index_indices_managed_llama_cloud-0.2.2.tar.gz", hash = "sha256:9a3db075878bc7adf798a74ec4d6220dec5421f46c0675702a94894934d17a7a"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -3370,13 +3327,13 @@ query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "l
|
||||
|
||||
[[package]]
|
||||
name = "llama-index-llms-openai"
|
||||
version = "0.1.23"
|
||||
version = "0.1.24"
|
||||
description = "llama-index llms openai integration"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "llama_index_llms_openai-0.1.23-py3-none-any.whl", hash = "sha256:38753baac823a0459b8f6511258d84020219cb6b223a9866ec526e83ddbc94e1"},
|
||||
{file = "llama_index_llms_openai-0.1.23.tar.gz", hash = "sha256:b40289c47fda9df86c8177999d6af0a47fce14fe4324572ea2fe25bbdbd05021"},
|
||||
{file = "llama_index_llms_openai-0.1.24-py3-none-any.whl", hash = "sha256:c7b71cd34765e2d080d5eaf23c602877cc74fea162b59d53965273b2d4c4a56a"},
|
||||
{file = "llama_index_llms_openai-0.1.24.tar.gz", hash = "sha256:9031bd155c303f89cc51cfcc75d7d6f12fffa4274f2f9c7f67d4140350d13d56"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -3653,6 +3610,20 @@ files = [
|
||||
[package.dependencies]
|
||||
lxml = "*"
|
||||
|
||||
[[package]]
|
||||
name = "mammoth"
|
||||
version = "1.8.0"
|
||||
description = "Convert Word documents from docx to simple and clean HTML and Markdown"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "mammoth-1.8.0-py2.py3-none-any.whl", hash = "sha256:b2abf2340809b13a903c8b65a27846466290b869f0dd56e4a1e3072c4be1ea86"},
|
||||
{file = "mammoth-1.8.0.tar.gz", hash = "sha256:7e8aa7db53f4aa7e9620b22bf8b716f1a16c84e969de1a0b1f920c756184e3d8"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
cobble = ">=0.1.3,<0.2"
|
||||
|
||||
[[package]]
|
||||
name = "markdown"
|
||||
version = "3.6"
|
||||
@ -3868,6 +3839,25 @@ files = [
|
||||
{file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "megaparse"
|
||||
version = "0.0.19"
|
||||
description = "Parse complex files (PDF,Docx,PPTX) for LLM consumption"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "megaparse-0.0.19-py3-none-any.whl", hash = "sha256:eda0e10c38a2fc2e25331eff20840c1397b445d4d30abe2749fd5b031f6d6852"},
|
||||
{file = "megaparse-0.0.19.tar.gz", hash = "sha256:7f6405802600e7f9f4a0236439a83f8cb1cf37c0c4377ce70410f50575c2f6c2"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
llama-parse = "*"
|
||||
mammoth = "*"
|
||||
pdf2docx = "*"
|
||||
python-docx = "*"
|
||||
python-pptx = "*"
|
||||
unstructured = "*"
|
||||
|
||||
[[package]]
|
||||
name = "mkl"
|
||||
version = "2021.4.0"
|
||||
@ -4582,6 +4572,28 @@ numpy = [
|
||||
{version = ">=1.26.0", markers = "python_version >= \"3.12\""},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "opencv-python-headless"
|
||||
version = "4.10.0.84"
|
||||
description = "Wrapper package for OpenCV python bindings."
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "opencv-python-headless-4.10.0.84.tar.gz", hash = "sha256:f2017c6101d7c2ef8d7bc3b414c37ff7f54d64413a1847d89970b6b7069b4e1a"},
|
||||
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|
||||
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|
||||
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|
||||
{file = "opencv_python_headless-4.10.0.84-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:377d08a7e48a1405b5e84afcbe4798464ce7ee17081c1c23619c8b398ff18295"},
|
||||
{file = "opencv_python_headless-4.10.0.84-cp37-abi3-win32.whl", hash = "sha256:9092404b65458ed87ce932f613ffbb1106ed2c843577501e5768912360fc50ec"},
|
||||
{file = "opencv_python_headless-4.10.0.84-cp37-abi3-win_amd64.whl", hash = "sha256:afcf28bd1209dd58810d33defb622b325d3cbe49dcd7a43a902982c33e5fad05"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
numpy = [
|
||||
{version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
|
||||
{version = ">=1.26.0", markers = "python_version >= \"3.12\""},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "openpyxl"
|
||||
version = "3.1.5"
|
||||
@ -4811,6 +4823,25 @@ files = [
|
||||
{file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "pdf2docx"
|
||||
version = "0.5.8"
|
||||
description = "Open source Python library converting pdf to docx."
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "pdf2docx-0.5.8-py3-none-any.whl", hash = "sha256:8c5f439ba8147d59c20d33dadb275ff75a7f19b3b6179a9afda29ae2962514dc"},
|
||||
{file = "pdf2docx-0.5.8.tar.gz", hash = "sha256:e723f639728193468602b69eade2fe62df5f5d339d2630228e325f4cc61c1918"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
fire = ">=0.3.0"
|
||||
fonttools = ">=4.24.0"
|
||||
numpy = ">=1.17.2"
|
||||
opencv-python-headless = ">=4.5"
|
||||
PyMuPDF = ">=1.19.0"
|
||||
python-docx = ">=0.8.10"
|
||||
|
||||
[[package]]
|
||||
name = "pdf2image"
|
||||
version = "1.17.0"
|
||||
@ -4940,84 +4971,95 @@ test = ["attrs (>=20.2.0)", "coverage[toml]", "hypothesis (>=6.36)", "numpy (>=1
|
||||
|
||||
[[package]]
|
||||
name = "pillow"
|
||||
version = "10.3.0"
|
||||
version = "10.4.0"
|
||||
description = "Python Imaging Library (Fork)"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
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[package.extras]
|
||||
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||||
fpx = ["olefile"]
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||||
mic = ["olefile"]
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||||
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
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[[package]]
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[package.dependencies]
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||||
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||||
[[package]]
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||||
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|
||||
[[package]]
|
||||
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|
||||
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|
||||
@ -6464,6 +6570,7 @@ litellm = "*"
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||||
llama-index = "*"
|
||||
llama-parse = "*"
|
||||
lxml = {version = "*", extras = ["html-clean"]}
|
||||
megaparse = "0.0.19"
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||||
msal = "*"
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||||
nest-asyncio = "*"
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||||
newspaper3k = "*"
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@ -6693,6 +6800,21 @@ async-timeout = {version = ">=4.0.3", markers = "python_full_version < \"3.11.3\
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||||
hiredis = ["hiredis (>=1.0.0)"]
|
||||
ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==20.0.1)", "requests (>=2.26.0)"]
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||||
|
||||
[[package]]
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||||
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|
||||
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||||
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|
||||
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|
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[package.dependencies]
|
||||
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|
||||
rpds-py = ">=0.7.0"
|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
@ -6896,6 +7018,114 @@ pygments = ">=2.13.0,<3.0.0"
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||||
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|
||||
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||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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||||
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|
||||
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{file = "rpds_py-0.18.1.tar.gz", hash = "sha256:dc48b479d540770c811fbd1eb9ba2bb66951863e448efec2e2c102625328e92f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "rsa"
|
||||
version = "4.9"
|
||||
@ -7337,13 +7567,13 @@ sqlcipher = ["sqlcipher3_binary"]
|
||||
|
||||
[[package]]
|
||||
name = "sqlglot"
|
||||
version = "25.4.0"
|
||||
version = "25.4.1"
|
||||
description = "An easily customizable SQL parser and transpiler"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "sqlglot-25.4.0-py3-none-any.whl", hash = "sha256:c8eb1b45ff7e3382639012aca050a3d40c373049c2d2d47393bf23666135c8bb"},
|
||||
{file = "sqlglot-25.4.0.tar.gz", hash = "sha256:12f198afd0b5d5722be9eecb1f364e4e01cb63935086f1b3af1b333b22b78254"},
|
||||
{file = "sqlglot-25.4.1-py3-none-any.whl", hash = "sha256:4aa019f0cb28097ef03b8b38403dd77727702a380185dabfdf15760e80855fe8"},
|
||||
{file = "sqlglot-25.4.1.tar.gz", hash = "sha256:6c2dc0ce897d7098bca7aafdf7d060c9ae3b3d9e0dcae210378e5a1622ac1de1"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -7621,6 +7851,20 @@ files = [
|
||||
doc = ["reno", "sphinx"]
|
||||
test = ["pytest", "tornado (>=4.5)", "typeguard"]
|
||||
|
||||
[[package]]
|
||||
name = "termcolor"
|
||||
version = "2.4.0"
|
||||
description = "ANSI color formatting for output in terminal"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "termcolor-2.4.0-py3-none-any.whl", hash = "sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63"},
|
||||
{file = "termcolor-2.4.0.tar.gz", hash = "sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
tests = ["pytest", "pytest-cov"]
|
||||
|
||||
[[package]]
|
||||
name = "tiktoken"
|
||||
version = "0.7.0"
|
||||
@ -8416,13 +8660,13 @@ xlsx = ["networkx", "openpyxl", "pandas", "xlrd"]
|
||||
|
||||
[[package]]
|
||||
name = "unstructured-client"
|
||||
version = "0.23.7"
|
||||
version = "0.23.8"
|
||||
description = "Python Client SDK for Unstructured API"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "unstructured-client-0.23.7.tar.gz", hash = "sha256:9161ca25365764712b66cbb50e7cb22bc59a89a613de2bb2e2b171ef7b17e5b0"},
|
||||
{file = "unstructured_client-0.23.7-py3-none-any.whl", hash = "sha256:95df14697b1f79cc2a4580c7f143bd463d3dd5fab605220d2e4888321342decb"},
|
||||
{file = "unstructured-client-0.23.8.tar.gz", hash = "sha256:57520334a4696ceac66270bb2760b6263f62b7f798fc50af4fdf5108d1a2693c"},
|
||||
{file = "unstructured_client-0.23.8-py3-none-any.whl", hash = "sha256:cc52826bca4fac5e6f4168214c76e7024fa20f14d84fe895c8e71d3def23ff2b"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
||||
@ -42,8 +42,6 @@ services:
|
||||
- "0.0.0.0"
|
||||
- "--port"
|
||||
- "5050"
|
||||
- "--workers"
|
||||
- "6"
|
||||
restart: always
|
||||
volumes:
|
||||
- ./backend/:/code/
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
Loading…
Reference in New Issue
Block a user