Merge branch 'main' into fix-docker
This commit is contained in:
commit
657d63e5d1
8 changed files with 367 additions and 28 deletions
21
README.md
21
README.md
|
|
@ -1,6 +1,3 @@
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> [!IMPORTANT]
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> (12/19/24) Hello! MarkItDown team members will be resting and recharging with family and friends over the holiday period. Activity/responses on the project may be delayed during the period of Dec 21-Jan 06. We will be excited to engage with you in the new year!
|
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|
||||
# MarkItDown
|
||||
|
||||
[](https://pypi.org/project/markitdown/)
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|
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@ -36,12 +33,20 @@ Or use `-o` to specify the output file:
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markitdown path-to-file.pdf -o document.md
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```
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||||
To use Document Intelligence conversion:
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||||
|
||||
```bash
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||||
markitdown path-to-file.pdf -o document.md -d -e "<document_intelligence_endpoint>"
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||||
```
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||||
|
||||
You can also pipe content:
|
||||
|
||||
```bash
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||||
cat path-to-file.pdf | markitdown
|
||||
```
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||||
|
||||
More information about how to set up an Azure Document Intelligence Resource can be found [here](https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/create-document-intelligence-resource?view=doc-intel-4.0.0)
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### Python API
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Basic usage in Python:
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@ -54,6 +59,16 @@ result = md.convert("test.xlsx")
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print(result.text_content)
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```
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Document Intelligence conversion in Python:
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```python
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from markitdown import MarkItDown
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md = MarkItDown(docintel_endpoint="<document_intelligence_endpoint>")
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result = md.convert("test.pdf")
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print(result.text_content)
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```
|
||||
|
||||
To use Large Language Models for image descriptions, provide `llm_client` and `llm_model`:
|
||||
|
||||
```python
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||||
|
|
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|||
|
|
@ -32,14 +32,18 @@ dependencies = [
|
|||
"python-pptx",
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"pandas",
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"openpyxl",
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||||
"xlrd",
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"pdfminer.six",
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||||
"puremagic",
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"pydub",
|
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"olefile",
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"youtube-transcript-api",
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"SpeechRecognition",
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"pathvalidate",
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"charset-normalizer",
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"openai",
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"azure-ai-documentintelligence",
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"azure-identity"
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]
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[project.urls]
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||||
|
|
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|||
|
|
@ -4,8 +4,8 @@
|
|||
import argparse
|
||||
import sys
|
||||
from textwrap import dedent
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||||
from .__about__ import __version__
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from ._markitdown import MarkItDown, DocumentConverterResult
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from __about__ import __version__
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from _markitdown import MarkItDown, DocumentConverterResult
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|
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|
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def main():
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|
|
@ -57,15 +57,36 @@ def main():
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|||
"--output",
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||||
help="Output file name. If not provided, output is written to stdout.",
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||||
)
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parser.add_argument(
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"-d",
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"--use-docintel",
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action="store_true",
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help="Use Document Intelligence to extract text instead of offline conversion. Requires a valid Document Intelligence Endpoint.",
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)
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parser.add_argument(
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"-e",
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"--endpoint",
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type=str,
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help="Document Intelligence Endpoint. Required if using Document Intelligence.",
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||||
)
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args = parser.parse_args()
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|
||||
if args.filename is None:
|
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markitdown = MarkItDown()
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||||
result = markitdown.convert_stream(sys.stdin.buffer)
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_handle_output(args, result)
|
||||
if args.use_docintel:
|
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if args.endpoint is None:
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raise ValueError(
|
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"Document Intelligence Endpoint is required when using Document Intelligence."
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)
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elif args.filename is None:
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raise ValueError("Filename is required when using Document Intelligence.")
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markitdown = MarkItDown(docintel_endpoint=args.endpoint)
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else:
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markitdown = MarkItDown()
|
||||
|
||||
if args.filename is None:
|
||||
result = markitdown.convert_stream(sys.stdin.buffer)
|
||||
else:
|
||||
result = markitdown.convert(args.filename)
|
||||
|
||||
_handle_output(args, result)
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -21,6 +21,7 @@ from warnings import warn, resetwarnings, catch_warnings
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|||
|
||||
import mammoth
|
||||
import markdownify
|
||||
import olefile
|
||||
import pandas as pd
|
||||
import pdfminer
|
||||
import pdfminer.high_level
|
||||
|
|
@ -32,7 +33,21 @@ import requests
|
|||
from bs4 import BeautifulSoup
|
||||
from charset_normalizer import from_path
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||||
|
||||
# Azure imports
|
||||
from azure.ai.documentintelligence import DocumentIntelligenceClient
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||||
from azure.ai.documentintelligence.models import (
|
||||
AnalyzeDocumentRequest,
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||||
AnalyzeResult,
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||||
DocumentAnalysisFeature,
|
||||
)
|
||||
from azure.identity import DefaultAzureCredential
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|
||||
# TODO: currently, there is a bug in the document intelligence SDK with importing the "ContentFormat" enum.
|
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# This constant is a temporary fix until the bug is resolved.
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CONTENT_FORMAT = "markdown"
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|
||||
# Optional Transcription support
|
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IS_AUDIO_TRANSCRIPTION_CAPABLE = False
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try:
|
||||
# Using warnings' catch_warnings to catch
|
||||
# pydub's warning of ffmpeg or avconv missing
|
||||
|
|
@ -171,7 +186,10 @@ class PlainTextConverter(DocumentConverter):
|
|||
# Only accept text files
|
||||
if content_type is None:
|
||||
return None
|
||||
elif "text/" not in content_type.lower():
|
||||
elif all(
|
||||
not content_type.lower().startswith(type_prefix)
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||||
for type_prefix in ["text/", "application/json"]
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||||
):
|
||||
return None
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|
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text_content = str(from_path(local_path).best())
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|
|
@ -724,7 +742,31 @@ class XlsxConverter(HtmlConverter):
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if extension.lower() != ".xlsx":
|
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return None
|
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|
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sheets = pd.read_excel(local_path, sheet_name=None)
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sheets = pd.read_excel(local_path, sheet_name=None, engine="openpyxl")
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md_content = ""
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for s in sheets:
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md_content += f"## {s}\n"
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html_content = sheets[s].to_html(index=False)
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md_content += self._convert(html_content).text_content.strip() + "\n\n"
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return DocumentConverterResult(
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title=None,
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text_content=md_content.strip(),
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)
|
||||
|
||||
|
||||
class XlsConverter(HtmlConverter):
|
||||
"""
|
||||
Converts XLS files to Markdown, with each sheet presented as a separate Markdown table.
|
||||
"""
|
||||
|
||||
def convert(self, local_path, **kwargs) -> Union[None, DocumentConverterResult]:
|
||||
# Bail if not a XLS
|
||||
extension = kwargs.get("file_extension", "")
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||||
if extension.lower() != ".xls":
|
||||
return None
|
||||
|
||||
sheets = pd.read_excel(local_path, sheet_name=None, engine="xlrd")
|
||||
md_content = ""
|
||||
for s in sheets:
|
||||
md_content += f"## {s}\n"
|
||||
|
|
@ -863,14 +905,25 @@ class MediaConverter(DocumentConverter):
|
|||
Abstract class for multi-modal media (e.g., images and audio)
|
||||
"""
|
||||
|
||||
def _get_metadata(self, local_path):
|
||||
exiftool = shutil.which("exiftool")
|
||||
if not exiftool:
|
||||
def _get_metadata(self, local_path, exiftool_path=None):
|
||||
if not exiftool_path:
|
||||
which_exiftool = shutil.which("exiftool")
|
||||
if which_exiftool:
|
||||
warn(
|
||||
f"""Implicit discovery of 'exiftool' is disabled. If you would like to continue to use exiftool in MarkItDown, please set the exiftool_path parameter in the MarkItDown consructor. E.g.,
|
||||
|
||||
md = MarkItDown(exiftool_path="{which_exiftool}")
|
||||
|
||||
This warning will be removed in future releases.
|
||||
""",
|
||||
DeprecationWarning,
|
||||
)
|
||||
|
||||
return None
|
||||
else:
|
||||
try:
|
||||
result = subprocess.run(
|
||||
[exiftool, "-json", local_path], capture_output=True, text=True
|
||||
[exiftool_path, "-json", local_path], capture_output=True, text=True
|
||||
).stdout
|
||||
return json.loads(result)[0]
|
||||
except Exception:
|
||||
|
|
@ -891,7 +944,7 @@ class WavConverter(MediaConverter):
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|||
md_content = ""
|
||||
|
||||
# Add metadata
|
||||
metadata = self._get_metadata(local_path)
|
||||
metadata = self._get_metadata(local_path, kwargs.get("exiftool_path"))
|
||||
if metadata:
|
||||
for f in [
|
||||
"Title",
|
||||
|
|
@ -946,7 +999,7 @@ class Mp3Converter(WavConverter):
|
|||
md_content = ""
|
||||
|
||||
# Add metadata
|
||||
metadata = self._get_metadata(local_path)
|
||||
metadata = self._get_metadata(local_path, kwargs.get("exiftool_path"))
|
||||
if metadata:
|
||||
for f in [
|
||||
"Title",
|
||||
|
|
@ -1007,7 +1060,7 @@ class ImageConverter(MediaConverter):
|
|||
md_content = ""
|
||||
|
||||
# Add metadata
|
||||
metadata = self._get_metadata(local_path)
|
||||
metadata = self._get_metadata(local_path, kwargs.get("exiftool_path"))
|
||||
if metadata:
|
||||
for f in [
|
||||
"ImageSize",
|
||||
|
|
@ -1076,6 +1129,79 @@ class ImageConverter(MediaConverter):
|
|||
return response.choices[0].message.content
|
||||
|
||||
|
||||
class OutlookMsgConverter(DocumentConverter):
|
||||
"""Converts Outlook .msg files to markdown by extracting email metadata and content.
|
||||
|
||||
Uses the olefile package to parse the .msg file structure and extract:
|
||||
- Email headers (From, To, Subject)
|
||||
- Email body content
|
||||
"""
|
||||
|
||||
def convert(
|
||||
self, local_path: str, **kwargs: Any
|
||||
) -> Union[None, DocumentConverterResult]:
|
||||
# Bail if not a MSG file
|
||||
extension = kwargs.get("file_extension", "")
|
||||
if extension.lower() != ".msg":
|
||||
return None
|
||||
|
||||
try:
|
||||
msg = olefile.OleFileIO(local_path)
|
||||
# Extract email metadata
|
||||
md_content = "# Email Message\n\n"
|
||||
|
||||
# Get headers
|
||||
headers = {
|
||||
"From": self._get_stream_data(msg, "__substg1.0_0C1F001F"),
|
||||
"To": self._get_stream_data(msg, "__substg1.0_0E04001F"),
|
||||
"Subject": self._get_stream_data(msg, "__substg1.0_0037001F"),
|
||||
}
|
||||
|
||||
# Add headers to markdown
|
||||
for key, value in headers.items():
|
||||
if value:
|
||||
md_content += f"**{key}:** {value}\n"
|
||||
|
||||
md_content += "\n## Content\n\n"
|
||||
|
||||
# Get email body
|
||||
body = self._get_stream_data(msg, "__substg1.0_1000001F")
|
||||
if body:
|
||||
md_content += body
|
||||
|
||||
msg.close()
|
||||
|
||||
return DocumentConverterResult(
|
||||
title=headers.get("Subject"), text_content=md_content.strip()
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
raise FileConversionException(
|
||||
f"Could not convert MSG file '{local_path}': {str(e)}"
|
||||
)
|
||||
|
||||
def _get_stream_data(
|
||||
self, msg: olefile.OleFileIO, stream_path: str
|
||||
) -> Union[str, None]:
|
||||
"""Helper to safely extract and decode stream data from the MSG file."""
|
||||
try:
|
||||
if msg.exists(stream_path):
|
||||
data = msg.openstream(stream_path).read()
|
||||
# Try UTF-16 first (common for .msg files)
|
||||
try:
|
||||
return data.decode("utf-16-le").strip()
|
||||
except UnicodeDecodeError:
|
||||
# Fall back to UTF-8
|
||||
try:
|
||||
return data.decode("utf-8").strip()
|
||||
except UnicodeDecodeError:
|
||||
# Last resort - ignore errors
|
||||
return data.decode("utf-8", errors="ignore").strip()
|
||||
except Exception:
|
||||
pass
|
||||
return None
|
||||
|
||||
|
||||
class ZipConverter(DocumentConverter):
|
||||
"""Converts ZIP files to markdown by extracting and converting all contained files.
|
||||
|
||||
|
|
@ -1205,6 +1331,74 @@ class ZipConverter(DocumentConverter):
|
|||
)
|
||||
|
||||
|
||||
class DocumentIntelligenceConverter(DocumentConverter):
|
||||
"""Specialized DocumentConverter that uses Document Intelligence to extract text from documents."""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
endpoint: str,
|
||||
api_version: str = "2024-07-31-preview",
|
||||
):
|
||||
self.endpoint = endpoint
|
||||
self.api_version = api_version
|
||||
self.doc_intel_client = DocumentIntelligenceClient(
|
||||
endpoint=self.endpoint,
|
||||
api_version=self.api_version,
|
||||
credential=DefaultAzureCredential(),
|
||||
)
|
||||
|
||||
def convert(
|
||||
self, local_path: str, **kwargs: Any
|
||||
) -> Union[None, DocumentConverterResult]:
|
||||
# Bail if extension is not supported by Document Intelligence
|
||||
extension = kwargs.get("file_extension", "")
|
||||
docintel_extensions = [
|
||||
".pdf",
|
||||
".docx",
|
||||
".xlsx",
|
||||
".pptx",
|
||||
".html",
|
||||
".jpeg",
|
||||
".jpg",
|
||||
".png",
|
||||
".bmp",
|
||||
".tiff",
|
||||
".heif",
|
||||
]
|
||||
if extension.lower() not in docintel_extensions:
|
||||
return None
|
||||
|
||||
# Get the bytestring for the local path
|
||||
with open(local_path, "rb") as f:
|
||||
file_bytes = f.read()
|
||||
|
||||
# Certain document analysis features are not availiable for filetypes (.xlsx, .pptx, .html)
|
||||
if extension.lower() in [".xlsx", ".pptx", ".html"]:
|
||||
analysis_features = []
|
||||
else:
|
||||
analysis_features = [
|
||||
DocumentAnalysisFeature.FORMULAS, # enable formula extraction
|
||||
DocumentAnalysisFeature.OCR_HIGH_RESOLUTION, # enable high resolution OCR
|
||||
DocumentAnalysisFeature.STYLE_FONT, # enable font style extraction
|
||||
]
|
||||
|
||||
# Extract the text using Azure Document Intelligence
|
||||
poller = self.doc_intel_client.begin_analyze_document(
|
||||
model_id="prebuilt-layout",
|
||||
body=AnalyzeDocumentRequest(bytes_source=file_bytes),
|
||||
features=analysis_features,
|
||||
output_content_format=CONTENT_FORMAT, # TODO: replace with "ContentFormat.MARKDOWN" when the bug is fixed
|
||||
)
|
||||
result: AnalyzeResult = poller.result()
|
||||
|
||||
# remove comments from the markdown content generated by Doc Intelligence and append to markdown string
|
||||
markdown_text = re.sub(r"<!--.*?-->", "", result.content, flags=re.DOTALL)
|
||||
return DocumentConverterResult(
|
||||
title=None,
|
||||
text_content=markdown_text,
|
||||
)
|
||||
|
||||
|
||||
class FileConversionException(BaseException):
|
||||
pass
|
||||
|
||||
|
|
@ -1223,6 +1417,8 @@ class MarkItDown:
|
|||
llm_client: Optional[Any] = None,
|
||||
llm_model: Optional[str] = None,
|
||||
style_map: Optional[str] = None,
|
||||
exiftool_path: Optional[str] = None,
|
||||
docintel_endpoint: Optional[str] = None,
|
||||
# Deprecated
|
||||
mlm_client: Optional[Any] = None,
|
||||
mlm_model: Optional[str] = None,
|
||||
|
|
@ -1232,6 +1428,9 @@ class MarkItDown:
|
|||
else:
|
||||
self._requests_session = requests_session
|
||||
|
||||
if exiftool_path is None:
|
||||
exiftool_path = os.environ.get("EXIFTOOL_PATH")
|
||||
|
||||
# Handle deprecation notices
|
||||
#############################
|
||||
if mlm_client is not None:
|
||||
|
|
@ -1264,6 +1463,7 @@ class MarkItDown:
|
|||
self._llm_client = llm_client
|
||||
self._llm_model = llm_model
|
||||
self._style_map = style_map
|
||||
self._exiftool_path = exiftool_path
|
||||
|
||||
self._page_converters: List[DocumentConverter] = []
|
||||
|
||||
|
|
@ -1278,6 +1478,7 @@ class MarkItDown:
|
|||
self.register_page_converter(BingSerpConverter())
|
||||
self.register_page_converter(DocxConverter())
|
||||
self.register_page_converter(XlsxConverter())
|
||||
self.register_page_converter(XlsConverter())
|
||||
self.register_page_converter(PptxConverter())
|
||||
self.register_page_converter(WavConverter())
|
||||
self.register_page_converter(Mp3Converter())
|
||||
|
|
@ -1285,6 +1486,13 @@ class MarkItDown:
|
|||
self.register_page_converter(IpynbConverter())
|
||||
self.register_page_converter(PdfConverter())
|
||||
self.register_page_converter(ZipConverter())
|
||||
self.register_page_converter(OutlookMsgConverter())
|
||||
|
||||
# Register Document Intelligence converter at the top of the stack if endpoint is provided
|
||||
if docintel_endpoint is not None:
|
||||
self.register_page_converter(
|
||||
DocumentIntelligenceConverter(endpoint=docintel_endpoint)
|
||||
)
|
||||
|
||||
def convert(
|
||||
self, source: Union[str, requests.Response, Path], **kwargs: Any
|
||||
|
|
@ -1445,12 +1653,15 @@ class MarkItDown:
|
|||
if "llm_model" not in _kwargs and self._llm_model is not None:
|
||||
_kwargs["llm_model"] = self._llm_model
|
||||
|
||||
# Add the list of converters for nested processing
|
||||
_kwargs["_parent_converters"] = self._page_converters
|
||||
|
||||
if "style_map" not in _kwargs and self._style_map is not None:
|
||||
_kwargs["style_map"] = self._style_map
|
||||
|
||||
if "exiftool_path" not in _kwargs and self._exiftool_path is not None:
|
||||
_kwargs["exiftool_path"] = self._exiftool_path
|
||||
|
||||
# Add the list of converters for nested processing
|
||||
_kwargs["_parent_converters"] = self._page_converters
|
||||
|
||||
# If we hit an error log it and keep trying
|
||||
try:
|
||||
res = converter.convert(local_path, **_kwargs)
|
||||
|
|
@ -1493,6 +1704,25 @@ class MarkItDown:
|
|||
# Use puremagic to guess
|
||||
try:
|
||||
guesses = puremagic.magic_file(path)
|
||||
|
||||
# Fix for: https://github.com/microsoft/markitdown/issues/222
|
||||
# If there are no guesses, then try again after trimming leading ASCII whitespaces.
|
||||
# ASCII whitespace characters are those byte values in the sequence b' \t\n\r\x0b\f'
|
||||
# (space, tab, newline, carriage return, vertical tab, form feed).
|
||||
if len(guesses) == 0:
|
||||
with open(path, "rb") as file:
|
||||
while True:
|
||||
char = file.read(1)
|
||||
if not char: # End of file
|
||||
break
|
||||
if not char.isspace():
|
||||
file.seek(file.tell() - 1)
|
||||
break
|
||||
try:
|
||||
guesses = puremagic.magic_stream(file)
|
||||
except puremagic.main.PureError:
|
||||
pass
|
||||
|
||||
extensions = list()
|
||||
for g in guesses:
|
||||
ext = g.extension.strip()
|
||||
|
|
|
|||
10
tests/test_files/test.json
vendored
Normal file
10
tests/test_files/test.json
vendored
Normal file
|
|
@ -0,0 +1,10 @@
|
|||
{
|
||||
"key1": "string_value",
|
||||
"key2": 1234,
|
||||
"key3": [
|
||||
"list_value1",
|
||||
"list_value2"
|
||||
],
|
||||
"5b64c88c-b3c3-4510-bcb8-da0b200602d8": "uuid_key",
|
||||
"uuid_value": "9700dc99-6685-40b4-9a3a-5e406dcb37f3"
|
||||
}
|
||||
BIN
tests/test_files/test.xls
vendored
Normal file
BIN
tests/test_files/test.xls
vendored
Normal file
Binary file not shown.
BIN
tests/test_files/test_outlook_msg.msg
vendored
Normal file
BIN
tests/test_files/test_outlook_msg.msg
vendored
Normal file
Binary file not shown.
|
|
@ -54,6 +54,12 @@ XLSX_TEST_STRINGS = [
|
|||
"affc7dad-52dc-4b98-9b5d-51e65d8a8ad0",
|
||||
]
|
||||
|
||||
XLS_TEST_STRINGS = [
|
||||
"## 09060124-b5e7-4717-9d07-3c046eb",
|
||||
"6ff4173b-42a5-4784-9b19-f49caff4d93d",
|
||||
"affc7dad-52dc-4b98-9b5d-51e65d8a8ad0",
|
||||
]
|
||||
|
||||
DOCX_TEST_STRINGS = [
|
||||
"314b0a30-5b04-470b-b9f7-eed2c2bec74a",
|
||||
"49e168b7-d2ae-407f-a055-2167576f39a1",
|
||||
|
|
@ -63,6 +69,15 @@ DOCX_TEST_STRINGS = [
|
|||
"AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation",
|
||||
]
|
||||
|
||||
MSG_TEST_STRINGS = [
|
||||
"# Email Message",
|
||||
"**From:** test.sender@example.com",
|
||||
"**To:** test.recipient@example.com",
|
||||
"**Subject:** Test Email Message",
|
||||
"## Content",
|
||||
"This is the body of the test email message",
|
||||
]
|
||||
|
||||
DOCX_COMMENT_TEST_STRINGS = [
|
||||
"314b0a30-5b04-470b-b9f7-eed2c2bec74a",
|
||||
"49e168b7-d2ae-407f-a055-2167576f39a1",
|
||||
|
|
@ -130,6 +145,11 @@ LLM_TEST_STRINGS = [
|
|||
"5bda1dd6",
|
||||
]
|
||||
|
||||
JSON_TEST_STRINGS = [
|
||||
"5b64c88c-b3c3-4510-bcb8-da0b200602d8",
|
||||
"9700dc99-6685-40b4-9a3a-5e406dcb37f3",
|
||||
]
|
||||
|
||||
|
||||
# --- Helper Functions ---
|
||||
def validate_strings(result, expected_strings, exclude_strings=None):
|
||||
|
|
@ -176,6 +196,12 @@ def test_markitdown_local() -> None:
|
|||
result = markitdown.convert(os.path.join(TEST_FILES_DIR, "test.xlsx"))
|
||||
validate_strings(result, XLSX_TEST_STRINGS)
|
||||
|
||||
# Test XLS processing
|
||||
result = markitdown.convert(os.path.join(TEST_FILES_DIR, "test.xls"))
|
||||
for test_string in XLS_TEST_STRINGS:
|
||||
text_content = result.text_content.replace("\\", "")
|
||||
assert test_string in text_content
|
||||
|
||||
# Test DOCX processing
|
||||
result = markitdown.convert(os.path.join(TEST_FILES_DIR, "test.docx"))
|
||||
validate_strings(result, DOCX_TEST_STRINGS)
|
||||
|
|
@ -232,15 +258,48 @@ def test_markitdown_local() -> None:
|
|||
result = markitdown.convert(os.path.join(TEST_FILES_DIR, "test_mskanji.csv"))
|
||||
validate_strings(result, CSV_CP932_TEST_STRINGS)
|
||||
|
||||
# Test MSG (Outlook email) processing
|
||||
result = markitdown.convert(os.path.join(TEST_FILES_DIR, "test_outlook_msg.msg"))
|
||||
validate_strings(result, MSG_TEST_STRINGS)
|
||||
|
||||
# Test JSON processing
|
||||
result = markitdown.convert(os.path.join(TEST_FILES_DIR, "test.json"))
|
||||
validate_strings(result, JSON_TEST_STRINGS)
|
||||
|
||||
# Test input with leading blank characters
|
||||
input_data = b" \n\n\n<html><body><h1>Test</h1></body></html>"
|
||||
result = markitdown.convert_stream(io.BytesIO(input_data))
|
||||
assert "# Test" in result.text_content
|
||||
|
||||
|
||||
@pytest.mark.skipif(
|
||||
skip_exiftool,
|
||||
reason="do not run if exiftool is not installed",
|
||||
)
|
||||
def test_markitdown_exiftool() -> None:
|
||||
# Test the automatic discovery of exiftool throws a warning
|
||||
# and is disabled
|
||||
try:
|
||||
with catch_warnings(record=True) as w:
|
||||
markitdown = MarkItDown()
|
||||
result = markitdown.convert(os.path.join(TEST_FILES_DIR, "test.jpg"))
|
||||
assert len(w) == 1
|
||||
assert w[0].category is DeprecationWarning
|
||||
assert result.text_content.strip() == ""
|
||||
finally:
|
||||
resetwarnings()
|
||||
|
||||
# Test JPG metadata processing
|
||||
# Test explicitly setting the location of exiftool
|
||||
which_exiftool = shutil.which("exiftool")
|
||||
markitdown = MarkItDown(exiftool_path=which_exiftool)
|
||||
result = markitdown.convert(os.path.join(TEST_FILES_DIR, "test.jpg"))
|
||||
for key in JPG_TEST_EXIFTOOL:
|
||||
target = f"{key}: {JPG_TEST_EXIFTOOL[key]}"
|
||||
assert target in result.text_content
|
||||
|
||||
# Test setting the exiftool path through an environment variable
|
||||
os.environ["EXIFTOOL_PATH"] = which_exiftool
|
||||
markitdown = MarkItDown()
|
||||
result = markitdown.convert(os.path.join(TEST_FILES_DIR, "test.jpg"))
|
||||
for key in JPG_TEST_EXIFTOOL:
|
||||
target = f"{key}: {JPG_TEST_EXIFTOOL[key]}"
|
||||
|
|
@ -302,8 +361,8 @@ def test_markitdown_llm() -> None:
|
|||
|
||||
if __name__ == "__main__":
|
||||
"""Runs this file's tests from the command line."""
|
||||
test_markitdown_remote()
|
||||
test_markitdown_local()
|
||||
# test_markitdown_remote()
|
||||
# test_markitdown_local()
|
||||
test_markitdown_exiftool()
|
||||
test_markitdown_deprecation()
|
||||
test_markitdown_llm()
|
||||
# test_markitdown_deprecation()
|
||||
# test_markitdown_llm()
|
||||
|
|
|
|||
Loading…
Reference in a new issue