Merge branch 'main' into COG-698
This commit is contained in:
Boris
GitHub
commit
b397f9ee5f
20 changed files with 751 additions and 8 deletions
2
.github/workflows/test_python_3_10.yml
vendored
2
.github/workflows/test_python_3_10.yml
vendored
|
|
@ -47,7 +47,7 @@ jobs:
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|||
installer-parallel: true
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||||
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||||
- name: Install dependencies
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run: poetry install --no-interaction
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run: poetry install --no-interaction -E docs
|
||||
|
||||
- name: Run unit tests
|
||||
run: poetry run pytest cognee/tests/unit/
|
||||
|
|
|
|||
2
.github/workflows/test_python_3_11.yml
vendored
2
.github/workflows/test_python_3_11.yml
vendored
|
|
@ -47,7 +47,7 @@ jobs:
|
|||
installer-parallel: true
|
||||
|
||||
- name: Install dependencies
|
||||
run: poetry install --no-interaction
|
||||
run: poetry install --no-interaction -E docs
|
||||
|
||||
- name: Run unit tests
|
||||
run: poetry run pytest cognee/tests/unit/
|
||||
|
|
|
|||
2
.github/workflows/test_python_3_9.yml
vendored
2
.github/workflows/test_python_3_9.yml
vendored
|
|
@ -47,7 +47,7 @@ jobs:
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|||
installer-parallel: true
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||||
|
||||
- name: Install dependencies
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||||
run: poetry install --no-interaction
|
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run: poetry install --no-interaction -E docs
|
||||
|
||||
- name: Run unit tests
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run: poetry run pytest cognee/tests/unit/
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||||
|
|
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|||
9
cognee/modules/data/exceptions/__init__.py
Normal file
9
cognee/modules/data/exceptions/__init__.py
Normal file
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|
@ -0,0 +1,9 @@
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"""
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Custom exceptions for the Cognee API.
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This module defines a set of exceptions for handling various data errors
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"""
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from .exceptions import (
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UnstructuredLibraryImportError,
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)
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11
cognee/modules/data/exceptions/exceptions.py
Normal file
11
cognee/modules/data/exceptions/exceptions.py
Normal file
|
|
@ -0,0 +1,11 @@
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from cognee.exceptions import CogneeApiError
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from fastapi import status
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class UnstructuredLibraryImportError(CogneeApiError):
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def __init__(
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self,
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message: str = "Import error. Unstructured library is not installed.",
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name: str = "UnstructuredModuleImportError",
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status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
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):
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super().__init__(message, name, status_code)
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|
|
@ -6,6 +6,7 @@ class Document(DataPoint):
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name: str
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raw_data_location: str
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metadata_id: UUID
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mime_type: str
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|
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def read(self, chunk_size: int) -> str:
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pass
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|
|
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@ -0,0 +1,32 @@
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from io import StringIO
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from cognee.modules.chunking.TextChunker import TextChunker
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from .Document import Document
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from cognee.modules.data.exceptions import UnstructuredLibraryImportError
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class UnstructuredDocument(Document):
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type: str = "unstructured"
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def read(self, chunk_size: int):
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def get_text():
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try:
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from unstructured.partition.auto import partition
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except ModuleNotFoundError:
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raise UnstructuredLibraryImportError
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elements = partition(self.raw_data_location, content_type=self.mime_type)
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in_memory_file = StringIO("\n\n".join([str(el) for el in elements]))
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in_memory_file.seek(0)
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while True:
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text = in_memory_file.read(1024)
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if len(text.strip()) == 0:
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break
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yield text
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chunker = TextChunker(self, chunk_size = chunk_size, get_text = get_text)
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yield from chunker.read()
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|
|
@ -3,3 +3,4 @@ from .PdfDocument import PdfDocument
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from .TextDocument import TextDocument
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from .ImageDocument import ImageDocument
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from .AudioDocument import AudioDocument
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from .UnstructuredDocument import UnstructuredDocument
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|
|
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|
|
@ -5,12 +5,22 @@ from cognee.modules.data.processing.document_types import (
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AudioDocument,
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||||
ImageDocument,
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||||
TextDocument,
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UnstructuredDocument,
|
||||
)
|
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from cognee.modules.data.operations.get_metadata import get_metadata
|
||||
|
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EXTENSION_TO_DOCUMENT_CLASS = {
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"pdf": PdfDocument, # Text documents
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||||
"txt": TextDocument,
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"docx": UnstructuredDocument,
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||||
"doc": UnstructuredDocument,
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||||
"odt": UnstructuredDocument,
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||||
"xls": UnstructuredDocument,
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||||
"xlsx": UnstructuredDocument,
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||||
"ppt": UnstructuredDocument,
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||||
"pptx": UnstructuredDocument,
|
||||
"odp": UnstructuredDocument,
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||||
"ods": UnstructuredDocument,
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||||
"png": ImageDocument, # Image documents
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||||
"dwg": ImageDocument,
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||||
"xcf": ImageDocument,
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||||
|
|
@ -48,6 +58,7 @@ async def classify_documents(data_documents: list[Data]) -> list[Document]:
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title = f"{data_item.name}.{data_item.extension}",
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||||
raw_data_location = data_item.raw_data_location,
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||||
name = data_item.name,
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||||
mime_type = data_item.mime_type,
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||||
metadata_id = metadata.id
|
||||
)
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documents.append(document)
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|
|
|
|||
|
|
@ -27,7 +27,7 @@ TEST_TEXT = """
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def test_AudioDocument():
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|
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document = AudioDocument(
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id=uuid.uuid4(), name="audio-dummy-test", raw_data_location="", metadata_id=uuid.uuid4()
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id=uuid.uuid4(), name="audio-dummy-test", raw_data_location="", metadata_id=uuid.uuid4(), mime_type="",
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||||
)
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with patch.object(AudioDocument, "create_transcript", return_value=TEST_TEXT):
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for ground_truth, paragraph_data in zip(
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|
|
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|||
|
|
@ -16,7 +16,7 @@ The commotion has attracted an audience: a murder of crows has gathered in the l
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def test_ImageDocument():
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||||
|
||||
document = ImageDocument(
|
||||
id=uuid.uuid4(), name="image-dummy-test", raw_data_location="", metadata_id=uuid.uuid4()
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||||
id=uuid.uuid4(), name="image-dummy-test", raw_data_location="", metadata_id=uuid.uuid4(), mime_type="",
|
||||
)
|
||||
with patch.object(ImageDocument, "transcribe_image", return_value=TEST_TEXT):
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|
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|
|
|
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|
|
@ -17,7 +17,8 @@ def test_PdfDocument():
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|||
"artificial-intelligence.pdf",
|
||||
)
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document = PdfDocument(
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id=uuid.uuid4(), name="Test document.pdf", raw_data_location=test_file_path, metadata_id=uuid.uuid4()
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||||
id=uuid.uuid4(), name="Test document.pdf", raw_data_location=test_file_path, metadata_id=uuid.uuid4(),
|
||||
mime_type="",
|
||||
)
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|
||||
for ground_truth, paragraph_data in zip(
|
||||
|
|
|
|||
|
|
@ -29,7 +29,7 @@ def test_TextDocument(input_file, chunk_size):
|
|||
input_file,
|
||||
)
|
||||
document = TextDocument(
|
||||
id=uuid.uuid4(), name=input_file, raw_data_location=test_file_path, metadata_id=uuid.uuid4()
|
||||
id=uuid.uuid4(), name=input_file, raw_data_location=test_file_path, metadata_id=uuid.uuid4(), mime_type="",
|
||||
)
|
||||
|
||||
for ground_truth, paragraph_data in zip(
|
||||
|
|
|
|||
|
|
@ -0,0 +1,80 @@
|
|||
import os
|
||||
import uuid
|
||||
|
||||
from cognee.modules.data.processing.document_types.UnstructuredDocument import UnstructuredDocument
|
||||
|
||||
def test_UnstructuredDocument():
|
||||
# Define file paths of test data
|
||||
pptx_file_path = os.path.join(
|
||||
os.sep,
|
||||
*(os.path.dirname(__file__).split(os.sep)[:-2]),
|
||||
"test_data",
|
||||
"example.pptx",
|
||||
)
|
||||
|
||||
docx_file_path = os.path.join(
|
||||
os.sep,
|
||||
*(os.path.dirname(__file__).split(os.sep)[:-2]),
|
||||
"test_data",
|
||||
"example.docx",
|
||||
)
|
||||
|
||||
csv_file_path = os.path.join(
|
||||
os.sep,
|
||||
*(os.path.dirname(__file__).split(os.sep)[:-2]),
|
||||
"test_data",
|
||||
"example.csv",
|
||||
)
|
||||
|
||||
xlsx_file_path = os.path.join(
|
||||
os.sep,
|
||||
*(os.path.dirname(__file__).split(os.sep)[:-2]),
|
||||
"test_data",
|
||||
"example.xlsx",
|
||||
)
|
||||
|
||||
# Define test documents
|
||||
pptx_document = UnstructuredDocument(
|
||||
id=uuid.uuid4(), name="example.pptx", raw_data_location=pptx_file_path, metadata_id=uuid.uuid4(),
|
||||
mime_type="application/vnd.openxmlformats-officedocument.presentationml.presentation"
|
||||
)
|
||||
|
||||
docx_document = UnstructuredDocument(
|
||||
id=uuid.uuid4(), name="example.docx", raw_data_location=docx_file_path, metadata_id=uuid.uuid4(),
|
||||
mime_type="application/vnd.openxmlformats-officedocument.wordprocessingml.document"
|
||||
)
|
||||
|
||||
csv_document = UnstructuredDocument(
|
||||
id=uuid.uuid4(), name="example.csv", raw_data_location=csv_file_path, metadata_id=uuid.uuid4(),
|
||||
mime_type="text/csv"
|
||||
)
|
||||
|
||||
xlsx_document = UnstructuredDocument(
|
||||
id=uuid.uuid4(), name="example.xlsx", raw_data_location=xlsx_file_path, metadata_id=uuid.uuid4(),
|
||||
mime_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
|
||||
)
|
||||
|
||||
# Test PPTX
|
||||
for paragraph_data in pptx_document.read(chunk_size=1024):
|
||||
assert 19 == paragraph_data.word_count, f' 19 != {paragraph_data.word_count = }'
|
||||
assert 104 == len(paragraph_data.text), f' 104 != {len(paragraph_data.text) = }'
|
||||
assert 'sentence_cut' == paragraph_data.cut_type, f' sentence_cut != {paragraph_data.cut_type = }'
|
||||
|
||||
# Test DOCX
|
||||
for paragraph_data in docx_document.read(chunk_size=1024):
|
||||
assert 16 == paragraph_data.word_count, f' 16 != {paragraph_data.word_count = }'
|
||||
assert 145 == len(paragraph_data.text), f' 145 != {len(paragraph_data.text) = }'
|
||||
assert 'sentence_end' == paragraph_data.cut_type, f' sentence_end != {paragraph_data.cut_type = }'
|
||||
|
||||
# TEST CSV
|
||||
for paragraph_data in csv_document.read(chunk_size=1024):
|
||||
assert 15 == paragraph_data.word_count, f' 15 != {paragraph_data.word_count = }'
|
||||
assert 'A A A A A A A A A,A A A A A A,A A' == paragraph_data.text, \
|
||||
f'Read text doesn\'t match expected text: {paragraph_data.text}'
|
||||
assert 'sentence_cut' == paragraph_data.cut_type, f' sentence_cut != {paragraph_data.cut_type = }'
|
||||
|
||||
# Test XLSX
|
||||
for paragraph_data in xlsx_document.read(chunk_size=1024):
|
||||
assert 36 == paragraph_data.word_count, f' 36 != {paragraph_data.word_count = }'
|
||||
assert 171 == len(paragraph_data.text), f' 171 != {len(paragraph_data.text) = }'
|
||||
assert 'sentence_cut' == paragraph_data.cut_type, f' sentence_cut != {paragraph_data.cut_type = }'
|
||||
3
cognee/tests/test_data/example.csv
Normal file
3
cognee/tests/test_data/example.csv
Normal file
|
|
@ -0,0 +1,3 @@
|
|||
A,A,A,A,A
|
||||
A,A,A,"A,A",A
|
||||
A,A,A,"A,A",A
|
||||
|
BIN
cognee/tests/test_data/example.docx
Normal file
BIN
cognee/tests/test_data/example.docx
Normal file
Binary file not shown.
BIN
cognee/tests/test_data/example.pptx
Normal file
BIN
cognee/tests/test_data/example.pptx
Normal file
Binary file not shown.
BIN
cognee/tests/test_data/example.xlsx
Normal file
BIN
cognee/tests/test_data/example.xlsx
Normal file
Binary file not shown.
592
poetry.lock
generated
592
poetry.lock
generated
|
|
@ -726,6 +726,17 @@ files = [
|
|||
[package.dependencies]
|
||||
pycparser = "*"
|
||||
|
||||
[[package]]
|
||||
name = "chardet"
|
||||
version = "5.2.0"
|
||||
description = "Universal encoding detector for Python 3"
|
||||
optional = true
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "chardet-5.2.0-py3-none-any.whl", hash = "sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970"},
|
||||
{file = "chardet-5.2.0.tar.gz", hash = "sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "charset-normalizer"
|
||||
version = "3.4.0"
|
||||
|
|
@ -1213,6 +1224,24 @@ files = [
|
|||
{file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "deepdiff"
|
||||
version = "8.0.1"
|
||||
description = "Deep Difference and Search of any Python object/data. Recreate objects by adding adding deltas to each other."
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "deepdiff-8.0.1-py3-none-any.whl", hash = "sha256:42e99004ce603f9a53934c634a57b04ad5900e0d8ed0abb15e635767489cbc05"},
|
||||
{file = "deepdiff-8.0.1.tar.gz", hash = "sha256:245599a4586ab59bb599ca3517a9c42f3318ff600ded5e80a3432693c8ec3c4b"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
orderly-set = "5.2.2"
|
||||
|
||||
[package.extras]
|
||||
cli = ["click (==8.1.7)", "pyyaml (==6.0.1)"]
|
||||
optimize = ["orjson"]
|
||||
|
||||
[[package]]
|
||||
name = "deepeval"
|
||||
version = "2.0.1"
|
||||
|
|
@ -1482,6 +1511,31 @@ files = [
|
|||
dnspython = ">=2.0.0"
|
||||
idna = ">=2.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "emoji"
|
||||
version = "2.14.0"
|
||||
description = "Emoji for Python"
|
||||
optional = true
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "emoji-2.14.0-py3-none-any.whl", hash = "sha256:fcc936bf374b1aec67dda5303ae99710ba88cc9cdce2d1a71c5f2204e6d78799"},
|
||||
{file = "emoji-2.14.0.tar.gz", hash = "sha256:f68ac28915a2221667cddb3e6c589303c3c6954c6c5af6fefaec7f9bdf72fdca"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
dev = ["coverage", "pytest (>=7.4.4)"]
|
||||
|
||||
[[package]]
|
||||
name = "et-xmlfile"
|
||||
version = "2.0.0"
|
||||
description = "An implementation of lxml.xmlfile for the standard library"
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa"},
|
||||
{file = "et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "exceptiongroup"
|
||||
version = "1.2.2"
|
||||
|
|
@ -2321,6 +2375,27 @@ files = [
|
|||
{file = "hpack-4.0.0.tar.gz", hash = "sha256:fc41de0c63e687ebffde81187a948221294896f6bdc0ae2312708df339430095"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "html5lib"
|
||||
version = "1.1"
|
||||
description = "HTML parser based on the WHATWG HTML specification"
|
||||
optional = true
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
|
||||
files = [
|
||||
{file = "html5lib-1.1-py2.py3-none-any.whl", hash = "sha256:0d78f8fde1c230e99fe37986a60526d7049ed4bf8a9fadbad5f00e22e58e041d"},
|
||||
{file = "html5lib-1.1.tar.gz", hash = "sha256:b2e5b40261e20f354d198eae92afc10d750afb487ed5e50f9c4eaf07c184146f"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
six = ">=1.9"
|
||||
webencodings = "*"
|
||||
|
||||
[package.extras]
|
||||
all = ["chardet (>=2.2)", "genshi", "lxml"]
|
||||
chardet = ["chardet (>=2.2)"]
|
||||
genshi = ["genshi"]
|
||||
lxml = ["lxml"]
|
||||
|
||||
[[package]]
|
||||
name = "htmlmin2"
|
||||
version = "0.1.13"
|
||||
|
|
@ -2823,6 +2898,17 @@ files = [
|
|||
[package.dependencies]
|
||||
ply = "*"
|
||||
|
||||
[[package]]
|
||||
name = "jsonpath-python"
|
||||
version = "1.0.6"
|
||||
description = "A more powerful JSONPath implementation in modern python"
|
||||
optional = true
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "jsonpath-python-1.0.6.tar.gz", hash = "sha256:dd5be4a72d8a2995c3f583cf82bf3cd1a9544cfdabf2d22595b67aff07349666"},
|
||||
{file = "jsonpath_python-1.0.6-py3-none-any.whl", hash = "sha256:1e3b78df579f5efc23565293612decee04214609208a2335884b3ee3f786b575"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "jsonpointer"
|
||||
version = "3.0.0"
|
||||
|
|
@ -3464,6 +3550,160 @@ typing-extensions = ">=4.5.0"
|
|||
typing-inspect = ">=0.8.0"
|
||||
wrapt = "*"
|
||||
|
||||
[[package]]
|
||||
name = "lxml"
|
||||
version = "5.3.0"
|
||||
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|
||||
[package.extras]
|
||||
cssselect = ["cssselect (>=0.7)"]
|
||||
html-clean = ["lxml-html-clean"]
|
||||
html5 = ["html5lib"]
|
||||
htmlsoup = ["BeautifulSoup4"]
|
||||
source = ["Cython (>=3.0.11)"]
|
||||
|
||||
[[package]]
|
||||
name = "makefun"
|
||||
version = "1.15.6"
|
||||
|
|
@ -4388,6 +4628,20 @@ rsa = ["cryptography (>=3.0.0)"]
|
|||
signals = ["blinker (>=1.4.0)"]
|
||||
signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
|
||||
|
||||
[[package]]
|
||||
name = "olefile"
|
||||
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|
||||
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|
||||
optional = true
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
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||||
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||||
[package.extras]
|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "openai"
|
||||
version = "1.52.0"
|
||||
|
|
@ -4412,6 +4666,20 @@ typing-extensions = ">=4.11,<5"
|
|||
[package.extras]
|
||||
datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
|
||||
|
||||
[[package]]
|
||||
name = "openpyxl"
|
||||
version = "3.1.5"
|
||||
description = "A Python library to read/write Excel 2010 xlsx/xlsm files"
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
files = [
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|
||||
[package.dependencies]
|
||||
et-xmlfile = "*"
|
||||
|
||||
[[package]]
|
||||
name = "opentelemetry-api"
|
||||
version = "1.27.0"
|
||||
|
|
@ -4506,6 +4774,17 @@ files = [
|
|||
deprecated = ">=1.2.6"
|
||||
opentelemetry-api = "1.27.0"
|
||||
|
||||
[[package]]
|
||||
name = "orderly-set"
|
||||
version = "5.2.2"
|
||||
description = "Orderly set"
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
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||||
|
||||
[[package]]
|
||||
name = "orjson"
|
||||
version = "3.10.12"
|
||||
|
|
@ -5631,6 +5910,17 @@ bulk-writer = ["azure-storage-blob", "minio (>=7.0.0)", "pyarrow (>=12.0.0)", "r
|
|||
dev = ["black", "grpcio (==1.62.2)", "grpcio-testing (==1.62.2)", "grpcio-tools (==1.62.2)", "pytest (>=5.3.4)", "pytest-cov (>=2.8.1)", "pytest-timeout (>=1.3.4)", "ruff (>0.4.0)"]
|
||||
model = ["milvus-model (>=0.1.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "pypandoc"
|
||||
version = "1.14"
|
||||
description = "Thin wrapper for pandoc."
|
||||
optional = true
|
||||
python-versions = ">=3.6"
|
||||
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|
||||
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|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "pyparsing"
|
||||
version = "3.2.0"
|
||||
|
|
@ -5754,6 +6044,21 @@ files = [
|
|||
[package.dependencies]
|
||||
six = ">=1.5"
|
||||
|
||||
[[package]]
|
||||
name = "python-docx"
|
||||
version = "1.1.2"
|
||||
description = "Create, read, and update Microsoft Word .docx files."
|
||||
optional = true
|
||||
python-versions = ">=3.7"
|
||||
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||||
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|
||||
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|
||||
|
||||
[package.dependencies]
|
||||
lxml = ">=3.1.0"
|
||||
typing-extensions = ">=4.9.0"
|
||||
|
||||
[[package]]
|
||||
name = "python-dotenv"
|
||||
version = "1.0.1"
|
||||
|
|
@ -5768,6 +6073,20 @@ files = [
|
|||
[package.extras]
|
||||
cli = ["click (>=5.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "python-iso639"
|
||||
version = "2024.10.22"
|
||||
description = "ISO 639 language codes, names, and other associated information"
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
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|
||||
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|
||||
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|
||||
|
||||
[package.extras]
|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "python-json-logger"
|
||||
version = "2.0.7"
|
||||
|
|
@ -5779,6 +6098,17 @@ files = [
|
|||
{file = "python_json_logger-2.0.7-py3-none-any.whl", hash = "sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd"},
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||||
[[package]]
|
||||
name = "python-magic"
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
[[package]]
|
||||
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|
||||
version = "0.0.17"
|
||||
|
|
@ -5790,6 +6120,39 @@ files = [
|
|||
{file = "python_multipart-0.0.17.tar.gz", hash = "sha256:41330d831cae6e2f22902704ead2826ea038d0419530eadff3ea80175aec5538"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "python-oxmsg"
|
||||
version = "0.0.1"
|
||||
description = "Extract attachments from Outlook .msg files."
|
||||
optional = true
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
{file = "python_oxmsg-0.0.1-py3-none-any.whl", hash = "sha256:8ea7d5dda1bc161a413213da9e18ed152927c1fda2feaf5d1f02192d8ad45eea"},
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
click = "*"
|
||||
olefile = "*"
|
||||
typing-extensions = ">=4.9.0"
|
||||
|
||||
[[package]]
|
||||
name = "python-pptx"
|
||||
version = "1.0.2"
|
||||
description = "Create, read, and update PowerPoint 2007+ (.pptx) files."
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
lxml = ">=3.1.0"
|
||||
Pillow = ">=3.3.2"
|
||||
typing-extensions = ">=4.9.0"
|
||||
XlsxWriter = ">=0.5.7"
|
||||
|
||||
[[package]]
|
||||
name = "pytz"
|
||||
version = "2024.2"
|
||||
|
|
@ -6064,6 +6427,106 @@ urllib3 = ">=1.26.14,<3"
|
|||
fastembed = ["fastembed (==0.3.6)"]
|
||||
fastembed-gpu = ["fastembed-gpu (==0.3.6)"]
|
||||
|
||||
[[package]]
|
||||
name = "rapidfuzz"
|
||||
version = "3.10.1"
|
||||
description = "rapid fuzzy string matching"
|
||||
optional = true
|
||||
python-versions = ">=3.9"
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||||
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|
||||
{file = "rapidfuzz-3.10.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:565c2bd4f7d23c32834652b27b51dd711814ab614b4e12add8476be4e20d1cf5"},
|
||||
{file = "rapidfuzz-3.10.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:187d9747149321607be4ccd6f9f366730078bed806178ec3eeb31d05545e9e8f"},
|
||||
{file = "rapidfuzz-3.10.1-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:616290fb9a8fa87e48cb0326d26f98d4e29f17c3b762c2d586f2b35c1fd2034b"},
|
||||
{file = "rapidfuzz-3.10.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:073a5b107e17ebd264198b78614c0206fa438cce749692af5bc5f8f484883f50"},
|
||||
{file = "rapidfuzz-3.10.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:39c4983e2e2ccb9732f3ac7d81617088822f4a12291d416b09b8a1eadebb3e29"},
|
||||
{file = "rapidfuzz-3.10.1-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:ac7adee6bcf0c6fee495d877edad1540a7e0f5fc208da03ccb64734b43522d7a"},
|
||||
{file = "rapidfuzz-3.10.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:425f4ac80b22153d391ee3f94bc854668a0c6c129f05cf2eaf5ee74474ddb69e"},
|
||||
{file = "rapidfuzz-3.10.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:65a2fa13e8a219f9b5dcb9e74abe3ced5838a7327e629f426d333dfc8c5a6e66"},
|
||||
{file = "rapidfuzz-3.10.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:75561f3df9a906aaa23787e9992b228b1ab69007932dc42070f747103e177ba8"},
|
||||
{file = "rapidfuzz-3.10.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:edd062490537e97ca125bc6c7f2b7331c2b73d21dc304615afe61ad1691e15d5"},
|
||||
{file = "rapidfuzz-3.10.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:cfcc8feccf63245a22dfdd16e222f1a39771a44b870beb748117a0e09cbb4a62"},
|
||||
{file = "rapidfuzz-3.10.1.tar.gz", hash = "sha256:5a15546d847a915b3f42dc79ef9b0c78b998b4e2c53b252e7166284066585979"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
all = ["numpy"]
|
||||
|
||||
[[package]]
|
||||
name = "redis"
|
||||
version = "5.2.0"
|
||||
|
|
@ -7725,6 +8188,105 @@ files = [
|
|||
{file = "ujson-5.10.0.tar.gz", hash = "sha256:b3cd8f3c5d8c7738257f1018880444f7b7d9b66232c64649f562d7ba86ad4bc1"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "unstructured"
|
||||
version = "0.16.10"
|
||||
description = "A library that prepares raw documents for downstream ML tasks."
|
||||
optional = true
|
||||
python-versions = "<3.13,>=3.9.0"
|
||||
files = [
|
||||
{file = "unstructured-0.16.10-py3-none-any.whl", hash = "sha256:738fc020fb4d9dfd1a3e54fee255221f7f916afafa16ff4e1a7a14495ba5b5ce"},
|
||||
{file = "unstructured-0.16.10.tar.gz", hash = "sha256:61c4a447514ab5d6f8629fde2da03833cf29e0bee26a1d3b901ac57d3b5d523a"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
backoff = "*"
|
||||
beautifulsoup4 = "*"
|
||||
chardet = "*"
|
||||
dataclasses-json = "*"
|
||||
emoji = "*"
|
||||
filetype = "*"
|
||||
html5lib = "*"
|
||||
langdetect = "*"
|
||||
lxml = "*"
|
||||
markdown = {version = "*", optional = true, markers = "extra == \"md\""}
|
||||
networkx = {version = "*", optional = true, markers = "extra == \"xlsx\""}
|
||||
nltk = "*"
|
||||
numpy = "<2"
|
||||
openpyxl = {version = "*", optional = true, markers = "extra == \"xlsx\""}
|
||||
pandas = {version = "*", optional = true, markers = "extra == \"csv\" or extra == \"tsv\" or extra == \"xlsx\""}
|
||||
psutil = "*"
|
||||
pypandoc = {version = "*", optional = true, markers = "extra == \"epub\" or extra == \"odt\" or extra == \"org\" or extra == \"rst\" or extra == \"rtf\""}
|
||||
python-docx = {version = ">=1.1.2", optional = true, markers = "extra == \"doc\" or extra == \"docx\" or extra == \"odt\""}
|
||||
python-iso639 = "*"
|
||||
python-magic = "*"
|
||||
python-oxmsg = "*"
|
||||
python-pptx = {version = ">=1.0.1", optional = true, markers = "extra == \"ppt\" or extra == \"pptx\""}
|
||||
rapidfuzz = "*"
|
||||
requests = "*"
|
||||
tqdm = "*"
|
||||
typing-extensions = "*"
|
||||
unstructured-client = "*"
|
||||
wrapt = "*"
|
||||
xlrd = {version = "*", optional = true, markers = "extra == \"xlsx\""}
|
||||
|
||||
[package.extras]
|
||||
all-docs = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (==0.8.1)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
|
||||
csv = ["pandas"]
|
||||
doc = ["python-docx (>=1.1.2)"]
|
||||
docx = ["python-docx (>=1.1.2)"]
|
||||
epub = ["pypandoc"]
|
||||
huggingface = ["langdetect", "sacremoses", "sentencepiece", "torch", "transformers"]
|
||||
image = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (==0.8.1)", "unstructured.pytesseract (>=0.3.12)"]
|
||||
local-inference = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (==0.8.1)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
|
||||
md = ["markdown"]
|
||||
odt = ["pypandoc", "python-docx (>=1.1.2)"]
|
||||
org = ["pypandoc"]
|
||||
paddleocr = ["paddlepaddle (==3.0.0b1)", "unstructured.paddleocr (==2.8.1.0)"]
|
||||
pdf = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (==0.8.1)", "unstructured.pytesseract (>=0.3.12)"]
|
||||
ppt = ["python-pptx (>=1.0.1)"]
|
||||
pptx = ["python-pptx (>=1.0.1)"]
|
||||
rst = ["pypandoc"]
|
||||
rtf = ["pypandoc"]
|
||||
tsv = ["pandas"]
|
||||
xlsx = ["networkx", "openpyxl", "pandas", "xlrd"]
|
||||
|
||||
[[package]]
|
||||
name = "unstructured-client"
|
||||
version = "0.25.9"
|
||||
description = "Python Client SDK for Unstructured API"
|
||||
optional = true
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "unstructured-client-0.25.9.tar.gz", hash = "sha256:fcc461623f58fefb0e22508e28bf653a8f6934b9779cb4a90dd68d77a39fb5b2"},
|
||||
{file = "unstructured_client-0.25.9-py3-none-any.whl", hash = "sha256:c984c01878c8fc243be7c842467d1113a194d885ab6396ae74258ee42717c5b5"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
certifi = ">=2023.7.22"
|
||||
charset-normalizer = ">=3.2.0"
|
||||
cryptography = ">=3.1"
|
||||
dataclasses-json = ">=0.6.4"
|
||||
deepdiff = ">=6.0"
|
||||
httpx = ">=0.27.0"
|
||||
idna = ">=3.4"
|
||||
jsonpath-python = ">=1.0.6"
|
||||
marshmallow = ">=3.19.0"
|
||||
mypy-extensions = ">=1.0.0"
|
||||
nest-asyncio = ">=1.6.0"
|
||||
packaging = ">=23.1"
|
||||
pypdf = ">=4.0"
|
||||
python-dateutil = ">=2.8.2"
|
||||
requests = ">=2.31.0"
|
||||
requests-toolbelt = ">=1.0.0"
|
||||
six = ">=1.16.0"
|
||||
typing-extensions = ">=4.7.1"
|
||||
typing-inspect = ">=0.9.0"
|
||||
urllib3 = ">=1.26.18"
|
||||
|
||||
[package.extras]
|
||||
dev = ["pylint (==3.1.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "uri-template"
|
||||
version = "1.3.0"
|
||||
|
|
@ -8012,6 +8574,33 @@ files = [
|
|||
{file = "wrapt-1.17.0.tar.gz", hash = "sha256:16187aa2317c731170a88ef35e8937ae0f533c402872c1ee5e6d079fcf320801"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "xlrd"
|
||||
version = "2.0.1"
|
||||
description = "Library for developers to extract data from Microsoft Excel (tm) .xls spreadsheet files"
|
||||
optional = true
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
|
||||
files = [
|
||||
{file = "xlrd-2.0.1-py2.py3-none-any.whl", hash = "sha256:6a33ee89877bd9abc1158129f6e94be74e2679636b8a205b43b85206c3f0bbdd"},
|
||||
{file = "xlrd-2.0.1.tar.gz", hash = "sha256:f72f148f54442c6b056bf931dbc34f986fd0c3b0b6b5a58d013c9aef274d0c88"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
build = ["twine", "wheel"]
|
||||
docs = ["sphinx"]
|
||||
test = ["pytest", "pytest-cov"]
|
||||
|
||||
[[package]]
|
||||
name = "xlsxwriter"
|
||||
version = "3.2.0"
|
||||
description = "A Python module for creating Excel XLSX files."
|
||||
optional = true
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "XlsxWriter-3.2.0-py3-none-any.whl", hash = "sha256:ecfd5405b3e0e228219bcaf24c2ca0915e012ca9464a14048021d21a995d490e"},
|
||||
{file = "XlsxWriter-3.2.0.tar.gz", hash = "sha256:9977d0c661a72866a61f9f7a809e25ebbb0fb7036baa3b9fe74afcfca6b3cb8c"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "xxhash"
|
||||
version = "3.5.0"
|
||||
|
|
@ -8261,6 +8850,7 @@ type = ["pytest-mypy"]
|
|||
|
||||
[extras]
|
||||
deepeval = ["deepeval"]
|
||||
docs = ["unstructured"]
|
||||
falkordb = ["falkordb"]
|
||||
filesystem = ["botocore"]
|
||||
groq = ["groq"]
|
||||
|
|
@ -8278,4 +8868,4 @@ weaviate = ["weaviate-client"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.9.0,<3.12"
|
||||
content-hash = "9aea4fbf426c44acda7af97be059598057eef35f51e32ce60a771ac9ab2f57af"
|
||||
content-hash = "c1f30981f79db94213a89aec3207f0b4775944968e97dda8aa49c3aa143ce7b5"
|
||||
|
|
|
|||
|
|
@ -73,6 +73,9 @@ llama-index-core = {version = "^0.11.22", optional = true}
|
|||
deepeval = {version = "^2.0.1", optional = true}
|
||||
transformers = "^4.46.3"
|
||||
pymilvus = {version = "^2.5.0", optional = true}
|
||||
unstructured = { extras = ["csv", "doc", "docx", "epub", "md", "odt", "org", "ppt", "pptx", "rst", "rtf", "tsv", "xlsx"], version = "^0.16.10", optional = true }
|
||||
|
||||
|
||||
|
||||
[tool.poetry.extras]
|
||||
filesystem = ["s3fs", "botocore"]
|
||||
|
|
@ -89,6 +92,7 @@ falkordb = ["falkordb"]
|
|||
groq = ["groq"]
|
||||
langfuse = ["langfuse"]
|
||||
milvus = ["pymilvus"]
|
||||
docs = ["unstructured"]
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
pytest = "^7.4.0"
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue