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v0.1.2a1
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dependabot
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4
.github/workflows/pre-commit.yml
vendored
4
.github/workflows/pre-commit.yml
vendored
@@ -5,9 +5,9 @@ jobs:
|
||||
pre-commit:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- uses: actions/checkout@v5
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
uses: actions/setup-python@v6
|
||||
with:
|
||||
python-version: "3.x"
|
||||
|
||||
|
||||
4
.github/workflows/tests.yml
vendored
4
.github/workflows/tests.yml
vendored
@@ -5,8 +5,8 @@ jobs:
|
||||
tests:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- uses: actions/setup-python@v5
|
||||
- uses: actions/checkout@v5
|
||||
- uses: actions/setup-python@v6
|
||||
with:
|
||||
python-version: |
|
||||
3.10
|
||||
|
||||
@@ -15,7 +15,7 @@
|
||||
|
||||
MarkItDown is a lightweight Python utility for converting various files to Markdown for use with LLMs and related text analysis pipelines. To this end, it is most comparable to [textract](https://github.com/deanmalmgren/textract), but with a focus on preserving important document structure and content as Markdown (including: headings, lists, tables, links, etc.) While the output is often reasonably presentable and human-friendly, it is meant to be consumed by text analysis tools -- and may not be the best option for high-fidelity document conversions for human consumption.
|
||||
|
||||
At present, MarkItDown supports:
|
||||
MarkItDown currently supports the conversion from:
|
||||
|
||||
- PDF
|
||||
- PowerPoint
|
||||
@@ -164,14 +164,14 @@ result = md.convert("test.pdf")
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||||
print(result.text_content)
|
||||
```
|
||||
|
||||
To use Large Language Models for image descriptions, provide `llm_client` and `llm_model`:
|
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To use Large Language Models for image descriptions (currently only for pptx and image files), provide `llm_client` and `llm_model`:
|
||||
|
||||
```python
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from markitdown import MarkItDown
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from openai import OpenAI
|
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|
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client = OpenAI()
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md = MarkItDown(llm_client=client, llm_model="gpt-4o")
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md = MarkItDown(llm_client=client, llm_model="gpt-4o", llm_prompt="optional custom prompt")
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result = md.convert("example.jpg")
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print(result.text_content)
|
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```
|
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@@ -199,7 +199,7 @@ contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additio
|
||||
|
||||
### How to Contribute
|
||||
|
||||
You can help by looking at issues or helping review PRs. Any issue or PR is welcome, but we have also marked some as 'open for contribution' and 'open for reviewing' to help facilitate community contributions. These are ofcourse just suggestions and you are welcome to contribute in any way you like.
|
||||
You can help by looking at issues or helping review PRs. Any issue or PR is welcome, but we have also marked some as 'open for contribution' and 'open for reviewing' to help facilitate community contributions. These are of course just suggestions and you are welcome to contribute in any way you like.
|
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|
||||
<div align="center">
|
||||
|
||||
|
||||
@@ -3,8 +3,10 @@ FROM python:3.13-slim-bullseye
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ENV DEBIAN_FRONTEND=noninteractive
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ENV EXIFTOOL_PATH=/usr/bin/exiftool
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ENV FFMPEG_PATH=/usr/bin/ffmpeg
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ENV MARKITDOWN_ENABLE_PLUGINS=True
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|
||||
# Runtime dependency
|
||||
# NOTE: Add any additional MarkItDown plugins here
|
||||
RUN apt-get update && apt-get install -y --no-install-recommends \
|
||||
ffmpeg \
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exiftool
|
||||
|
||||
@@ -4,7 +4,7 @@
|
||||

|
||||
[](https://github.com/microsoft/autogen)
|
||||
|
||||
The `markitdown-mcp` package provides a lightweight STDIO, SSE and Streamable HTTP MCP server for calling MarkItDown.
|
||||
The `markitdown-mcp` package provides a lightweight STDIO, Streamable HTTP, and SSE MCP server for calling MarkItDown.
|
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|
||||
It exposes one tool: `convert_to_markdown(uri)`, where uri can be any `http:`, `https:`, `file:`, or `data:` URI.
|
||||
|
||||
@@ -25,10 +25,10 @@ To run the MCP server, using STDIO (default) use the following command:
|
||||
markitdown-mcp
|
||||
```
|
||||
|
||||
To run the MCP server, using SSE or Streamable HTTP use the following command:
|
||||
To run the MCP server, using Streamable HTTP and SSE use the following command:
|
||||
|
||||
```bash
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markitdown-mcp --sse --host 127.0.0.1 --port 3001
|
||||
markitdown-mcp --http --host 127.0.0.1 --port 3001
|
||||
```
|
||||
|
||||
## Running in Docker
|
||||
@@ -54,7 +54,7 @@ Once mounted, all files under data will be accessible under `/workdir` in the co
|
||||
|
||||
It is recommended to use the Docker image when running the MCP server for Claude Desktop.
|
||||
|
||||
Follow [these instrutions](https://modelcontextprotocol.io/quickstart/user#for-claude-desktop-users) to access Claude's `claude_desktop_config.json` file.
|
||||
Follow [these instructions](https://modelcontextprotocol.io/quickstart/user#for-claude-desktop-users) to access Claude's `claude_desktop_config.json` file.
|
||||
|
||||
Edit it to include the following JSON entry:
|
||||
|
||||
@@ -102,23 +102,23 @@ To debug the MCP server you can use the `mcpinspector` tool.
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||||
npx @modelcontextprotocol/inspector
|
||||
```
|
||||
|
||||
You can then connect to the insepctor through the specified host and port (e.g., `http://localhost:5173/`).
|
||||
You can then connect to the inspector through the specified host and port (e.g., `http://localhost:5173/`).
|
||||
|
||||
If using STDIO:
|
||||
* select `STDIO` as the transport type,
|
||||
* input `markitdown-mcp` as the command, and
|
||||
* click `Connect`
|
||||
|
||||
If using SSE:
|
||||
* select `SSE` as the transport type,
|
||||
* input `http://127.0.0.1:3001/sse` as the URL, and
|
||||
* click `Connect`
|
||||
|
||||
If using Streamable HTTP:
|
||||
* select `Streamable HTTP` as the transport type,
|
||||
* input `http://127.0.0.1:3001/mcp` as the URL, and
|
||||
* click `Connect`
|
||||
|
||||
If using SSE:
|
||||
* select `SSE` as the transport type,
|
||||
* input `http://127.0.0.1:3001/sse` as the URL, and
|
||||
* click `Connect`
|
||||
|
||||
Finally:
|
||||
* click the `Tools` tab,
|
||||
* click `List Tools`,
|
||||
@@ -127,8 +127,7 @@ Finally:
|
||||
|
||||
## Security Considerations
|
||||
|
||||
The server does not support authentication, and runs with the privileges if the user running it. For this reason, when running in SSE or Streamable HTTP mode, it is recommended to run the server bound to `localhost` (default).
|
||||
|
||||
The server does not support authentication, and runs with the privileges of the user running it. For this reason, when running in SSE or Streamable HTTP mode, it is recommended to run the server bound to `localhost` (default).
|
||||
|
||||
## Trademarks
|
||||
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import contextlib
|
||||
import sys
|
||||
import os
|
||||
from collections.abc import AsyncIterator
|
||||
from mcp.server.fastmcp import FastMCP
|
||||
from starlette.applications import Starlette
|
||||
@@ -19,7 +20,15 @@ mcp = FastMCP("markitdown")
|
||||
@mcp.tool()
|
||||
async def convert_to_markdown(uri: str) -> str:
|
||||
"""Convert a resource described by an http:, https:, file: or data: URI to markdown"""
|
||||
return MarkItDown().convert_uri(uri).markdown
|
||||
return MarkItDown(enable_plugins=check_plugins_enabled()).convert_uri(uri).markdown
|
||||
|
||||
|
||||
def check_plugins_enabled() -> bool:
|
||||
return os.getenv("MARKITDOWN_ENABLE_PLUGINS", "false").strip().lower() in (
|
||||
"true",
|
||||
"1",
|
||||
"yes",
|
||||
)
|
||||
|
||||
|
||||
def create_starlette_app(mcp_server: Server, *, debug: bool = False) -> Starlette:
|
||||
@@ -75,12 +84,17 @@ def main():
|
||||
|
||||
mcp_server = mcp._mcp_server
|
||||
|
||||
parser = argparse.ArgumentParser(description="Run MCP SSE-based MarkItDown server")
|
||||
parser = argparse.ArgumentParser(description="Run a MarkItDown MCP server")
|
||||
|
||||
parser.add_argument(
|
||||
"--http",
|
||||
action="store_true",
|
||||
help="Run the server with Streamable HTTP and SSE transport rather than STDIO (default: False)",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--sse",
|
||||
action="store_true",
|
||||
help="Run the server with SSE transport rather than STDIO (default: False)",
|
||||
help="(Deprecated) An alias for --http (default: False)",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--host", default=None, help="Host to bind to (default: 127.0.0.1)"
|
||||
@@ -90,11 +104,15 @@ def main():
|
||||
)
|
||||
args = parser.parse_args()
|
||||
|
||||
if not args.sse and (args.host or args.port):
|
||||
parser.error("Host and port arguments are only valid when using SSE transport.")
|
||||
use_http = args.http or args.sse
|
||||
|
||||
if not use_http and (args.host or args.port):
|
||||
parser.error(
|
||||
"Host and port arguments are only valid when using streamable HTTP or SSE transport (see: --http)."
|
||||
)
|
||||
sys.exit(1)
|
||||
|
||||
if args.sse:
|
||||
if use_http:
|
||||
starlette_app = create_starlette_app(mcp_server, debug=True)
|
||||
uvicorn.run(
|
||||
starlette_app,
|
||||
|
||||
@@ -30,12 +30,13 @@ dependencies = [
|
||||
"magika~=0.6.1",
|
||||
"charset-normalizer",
|
||||
"defusedxml",
|
||||
"onnxruntime<=1.20.1; sys_platform == 'win32'",
|
||||
]
|
||||
|
||||
[project.optional-dependencies]
|
||||
all = [
|
||||
"python-pptx",
|
||||
"mammoth",
|
||||
"mammoth~=1.10.0",
|
||||
"pandas",
|
||||
"openpyxl",
|
||||
"xlrd",
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
# SPDX-FileCopyrightText: 2024-present Adam Fourney <adamfo@microsoft.com>
|
||||
#
|
||||
# SPDX-License-Identifier: MIT
|
||||
__version__ = "0.1.2a1"
|
||||
__version__ = "0.1.3"
|
||||
|
||||
@@ -69,7 +69,7 @@ class DocumentConverter:
|
||||
data = file_stream.read(100) # ... peek at the first 100 bytes, etc.
|
||||
file_stream.seek(cur_pos) # Reset the position to the original position
|
||||
|
||||
Prameters:
|
||||
Parameters:
|
||||
- file_stream: The file-like object to convert. Must support seek(), tell(), and read() methods.
|
||||
- stream_info: The StreamInfo object containing metadata about the file (mimetype, extension, charset, set)
|
||||
- kwargs: Additional keyword arguments for the converter.
|
||||
@@ -90,7 +90,7 @@ class DocumentConverter:
|
||||
"""
|
||||
Convert a document to Markdown text.
|
||||
|
||||
Prameters:
|
||||
Parameters:
|
||||
- file_stream: The file-like object to convert. Must support seek(), tell(), and read() methods.
|
||||
- stream_info: The StreamInfo object containing metadata about the file (mimetype, extension, charset, set)
|
||||
- kwargs: Additional keyword arguments for the converter.
|
||||
|
||||
@@ -115,6 +115,7 @@ class MarkItDown:
|
||||
# TODO - remove these (see enable_builtins)
|
||||
self._llm_client: Any = None
|
||||
self._llm_model: Union[str | None] = None
|
||||
self._llm_prompt: Union[str | None] = None
|
||||
self._exiftool_path: Union[str | None] = None
|
||||
self._style_map: Union[str | None] = None
|
||||
|
||||
@@ -139,6 +140,7 @@ class MarkItDown:
|
||||
# TODO: Move these into converter constructors
|
||||
self._llm_client = kwargs.get("llm_client")
|
||||
self._llm_model = kwargs.get("llm_model")
|
||||
self._llm_prompt = kwargs.get("llm_prompt")
|
||||
self._exiftool_path = kwargs.get("exiftool_path")
|
||||
self._style_map = kwargs.get("style_map")
|
||||
|
||||
@@ -559,6 +561,9 @@ class MarkItDown:
|
||||
if "llm_model" not in _kwargs and self._llm_model is not None:
|
||||
_kwargs["llm_model"] = self._llm_model
|
||||
|
||||
if "llm_prompt" not in _kwargs and self._llm_prompt is not None:
|
||||
_kwargs["llm_prompt"] = self._llm_prompt
|
||||
|
||||
if "style_map" not in _kwargs and self._style_map is not None:
|
||||
_kwargs["style_map"] = self._style_map
|
||||
|
||||
|
||||
@@ -84,6 +84,9 @@ def _get_mime_type_prefixes(types: List[DocumentIntelligenceFileType]) -> List[s
|
||||
prefixes.append(
|
||||
"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
|
||||
)
|
||||
elif type_ == DocumentIntelligenceFileType.HTML:
|
||||
prefixes.append("text/html")
|
||||
prefixes.append("application/xhtml+xml")
|
||||
elif type_ == DocumentIntelligenceFileType.PDF:
|
||||
prefixes.append("application/pdf")
|
||||
prefixes.append("application/x-pdf")
|
||||
@@ -119,6 +122,8 @@ def _get_file_extensions(types: List[DocumentIntelligenceFileType]) -> List[str]
|
||||
extensions.append(".bmp")
|
||||
elif type_ == DocumentIntelligenceFileType.TIFF:
|
||||
extensions.append(".tiff")
|
||||
elif type_ == DocumentIntelligenceFileType.HTML:
|
||||
extensions.append(".html")
|
||||
return extensions
|
||||
|
||||
|
||||
|
||||
@@ -1,4 +1,6 @@
|
||||
import sys
|
||||
import io
|
||||
from warnings import warn
|
||||
|
||||
from typing import BinaryIO, Any
|
||||
|
||||
@@ -13,6 +15,14 @@ from .._exceptions import MissingDependencyException, MISSING_DEPENDENCY_MESSAGE
|
||||
_dependency_exc_info = None
|
||||
try:
|
||||
import mammoth
|
||||
import mammoth.docx.files
|
||||
|
||||
def mammoth_files_open(self, uri):
|
||||
warn("DOCX: processing of r:link resources (e.g., linked images) is disabled.")
|
||||
return io.BytesIO(b"")
|
||||
|
||||
mammoth.docx.files.Files.open = mammoth_files_open
|
||||
|
||||
except ImportError:
|
||||
# Preserve the error and stack trace for later
|
||||
_dependency_exc_info = sys.exc_info()
|
||||
|
||||
@@ -1,7 +1,11 @@
|
||||
import json
|
||||
import subprocess
|
||||
import locale
|
||||
from typing import BinaryIO, Any, Union
|
||||
import subprocess
|
||||
from typing import Any, BinaryIO, Union
|
||||
|
||||
|
||||
def _parse_version(version: str) -> tuple:
|
||||
return tuple(map(int, (version.split("."))))
|
||||
|
||||
|
||||
def exiftool_metadata(
|
||||
@@ -13,6 +17,24 @@ def exiftool_metadata(
|
||||
if not exiftool_path:
|
||||
return {}
|
||||
|
||||
# Verify exiftool version
|
||||
try:
|
||||
version_output = subprocess.run(
|
||||
[exiftool_path, "-ver"],
|
||||
capture_output=True,
|
||||
text=True,
|
||||
check=True,
|
||||
).stdout.strip()
|
||||
version = _parse_version(version_output)
|
||||
min_version = (12, 24)
|
||||
if version < min_version:
|
||||
raise RuntimeError(
|
||||
f"ExifTool version {version_output} is vulnerable to CVE-2021-22204. "
|
||||
"Please upgrade to version 12.24 or later."
|
||||
)
|
||||
except (subprocess.CalledProcessError, ValueError) as e:
|
||||
raise RuntimeError("Failed to verify ExifTool version.") from e
|
||||
|
||||
# Run exiftool
|
||||
cur_pos = file_stream.tell()
|
||||
try:
|
||||
|
||||
@@ -92,9 +92,11 @@ class _CustomMarkdownify(markdownify.MarkdownConverter):
|
||||
"""Same as usual converter, but removes data URIs"""
|
||||
|
||||
alt = el.attrs.get("alt", None) or ""
|
||||
src = el.attrs.get("src", None) or ""
|
||||
src = el.attrs.get("src", None) or el.attrs.get("data-src", None) or ""
|
||||
title = el.attrs.get("title", None) or ""
|
||||
title_part = ' "%s"' % title.replace('"', r"\"") if title else ""
|
||||
# Remove all line breaks from alt
|
||||
alt = alt.replace("\n", " ")
|
||||
if (
|
||||
convert_as_inline
|
||||
and el.parent.name not in self.options["keep_inline_images_in"]
|
||||
@@ -107,5 +109,18 @@ class _CustomMarkdownify(markdownify.MarkdownConverter):
|
||||
|
||||
return "" % (alt, src, title_part)
|
||||
|
||||
def convert_input(
|
||||
self,
|
||||
el: Any,
|
||||
text: str,
|
||||
convert_as_inline: Optional[bool] = False,
|
||||
**kwargs,
|
||||
) -> str:
|
||||
"""Convert checkboxes to Markdown [x]/[ ] syntax."""
|
||||
|
||||
if el.get("type") == "checkbox":
|
||||
return "[x] " if el.has_attr("checked") else "[ ] "
|
||||
return ""
|
||||
|
||||
def convert_soup(self, soup: Any) -> str:
|
||||
return super().convert_soup(soup) # type: ignore
|
||||
|
||||
@@ -168,11 +168,23 @@ class PptxConverter(DocumentConverter):
|
||||
|
||||
# Group Shapes
|
||||
if shape.shape_type == pptx.enum.shapes.MSO_SHAPE_TYPE.GROUP:
|
||||
sorted_shapes = sorted(shape.shapes, key=attrgetter("top", "left"))
|
||||
sorted_shapes = sorted(
|
||||
shape.shapes,
|
||||
key=lambda x: (
|
||||
float("-inf") if not x.top else x.top,
|
||||
float("-inf") if not x.left else x.left,
|
||||
),
|
||||
)
|
||||
for subshape in sorted_shapes:
|
||||
get_shape_content(subshape, **kwargs)
|
||||
|
||||
sorted_shapes = sorted(slide.shapes, key=attrgetter("top", "left"))
|
||||
sorted_shapes = sorted(
|
||||
slide.shapes,
|
||||
key=lambda x: (
|
||||
float("-inf") if not x.top else x.top,
|
||||
float("-inf") if not x.left else x.left,
|
||||
),
|
||||
)
|
||||
for shape in sorted_shapes:
|
||||
get_shape_content(shape, **kwargs)
|
||||
|
||||
|
||||
26
packages/markitdown/tests/test_docintel_html.py
Normal file
26
packages/markitdown/tests/test_docintel_html.py
Normal file
@@ -0,0 +1,26 @@
|
||||
import io
|
||||
from markitdown.converters._doc_intel_converter import (
|
||||
DocumentIntelligenceConverter,
|
||||
DocumentIntelligenceFileType,
|
||||
)
|
||||
from markitdown._stream_info import StreamInfo
|
||||
|
||||
|
||||
def _make_converter(file_types):
|
||||
conv = DocumentIntelligenceConverter.__new__(DocumentIntelligenceConverter)
|
||||
conv._file_types = file_types
|
||||
return conv
|
||||
|
||||
|
||||
def test_docintel_accepts_html_extension():
|
||||
conv = _make_converter([DocumentIntelligenceFileType.HTML])
|
||||
stream_info = StreamInfo(mimetype=None, extension=".html")
|
||||
assert conv.accepts(io.BytesIO(b""), stream_info)
|
||||
|
||||
|
||||
def test_docintel_accepts_html_mimetype():
|
||||
conv = _make_converter([DocumentIntelligenceFileType.HTML])
|
||||
stream_info = StreamInfo(mimetype="text/html", extension=None)
|
||||
assert conv.accepts(io.BytesIO(b""), stream_info)
|
||||
stream_info = StreamInfo(mimetype="application/xhtml+xml", extension=None)
|
||||
assert conv.accepts(io.BytesIO(b""), stream_info)
|
||||
@@ -4,6 +4,7 @@ import os
|
||||
import re
|
||||
import shutil
|
||||
import pytest
|
||||
from unittest.mock import MagicMock
|
||||
|
||||
from markitdown._uri_utils import parse_data_uri, file_uri_to_path
|
||||
|
||||
@@ -370,6 +371,50 @@ def test_markitdown_exiftool() -> None:
|
||||
assert target in result.text_content
|
||||
|
||||
|
||||
def test_markitdown_llm_parameters() -> None:
|
||||
"""Test that LLM parameters are correctly passed to the client."""
|
||||
mock_client = MagicMock()
|
||||
mock_response = MagicMock()
|
||||
mock_response.choices = [
|
||||
MagicMock(
|
||||
message=MagicMock(
|
||||
content="Test caption with red circle and blue square 5bda1dd6"
|
||||
)
|
||||
)
|
||||
]
|
||||
mock_client.chat.completions.create.return_value = mock_response
|
||||
|
||||
test_prompt = "You are a professional test prompt."
|
||||
markitdown = MarkItDown(
|
||||
llm_client=mock_client, llm_model="gpt-4o", llm_prompt=test_prompt
|
||||
)
|
||||
|
||||
# Test image file
|
||||
markitdown.convert(os.path.join(TEST_FILES_DIR, "test_llm.jpg"))
|
||||
|
||||
# Verify the prompt was passed to the OpenAI API
|
||||
assert mock_client.chat.completions.create.called
|
||||
call_args = mock_client.chat.completions.create.call_args
|
||||
messages = call_args[1]["messages"]
|
||||
assert len(messages) == 1
|
||||
assert messages[0]["content"][0]["text"] == test_prompt
|
||||
|
||||
# Reset the mock for the next test
|
||||
mock_client.chat.completions.create.reset_mock()
|
||||
|
||||
# TODO: may only use one test after the llm caption method duplicate has been removed:
|
||||
# https://github.com/microsoft/markitdown/pull/1254
|
||||
# Test PPTX file
|
||||
markitdown.convert(os.path.join(TEST_FILES_DIR, "test.pptx"))
|
||||
|
||||
# Verify the prompt was passed to the OpenAI API for PPTX images too
|
||||
assert mock_client.chat.completions.create.called
|
||||
call_args = mock_client.chat.completions.create.call_args
|
||||
messages = call_args[1]["messages"]
|
||||
assert len(messages) == 1
|
||||
assert messages[0]["content"][0]["text"] == test_prompt
|
||||
|
||||
|
||||
@pytest.mark.skipif(
|
||||
skip_llm,
|
||||
reason="do not run llm tests without a key",
|
||||
@@ -408,6 +453,7 @@ if __name__ == "__main__":
|
||||
test_speech_transcription,
|
||||
test_exceptions,
|
||||
test_markitdown_exiftool,
|
||||
test_markitdown_llm_parameters,
|
||||
test_markitdown_llm,
|
||||
]:
|
||||
print(f"Running {test.__name__}...", end="")
|
||||
|
||||
Reference in New Issue
Block a user