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feat: expand SupportedContentType enum with common media types#2233

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lxcxjxhx wants to merge 4 commits into
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lxcxjxhx:feat/expand-supported-content-types
Open

feat: expand SupportedContentType enum with common media types#2233
lxcxjxhx wants to merge 4 commits into
microsoft:mainfrom
lxcxjxhx:feat/expand-supported-content-types

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@lxcxjxhx

@lxcxjxhx lxcxjxhx commented Jul 19, 2026

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Motivation

The SupportedContentType enum in pyrit/memory/storage/storage.py had a TODO comment indicating that more media types should be added. Currently only PLAIN_TEXT was supported, which limits PyRIT's ability to handle multimodal data (images, audio, video, PDFs) when uploading to Azure Blob Storage.

This is particularly relevant since the existing doc example doc/code/executor/5_workflow.py already references SupportedContentType.HTML which doesn't exist in the enum yet.

Changes

Enum expansion

Expanded SupportedContentType enum with commonly used media types:

  • Text types: HTML, JSON, XML, CSV, Markdown
  • Image types: PNG, JPEG, GIF, WebP, SVG, BMP
  • Audio types: WAV, MP3, OGG, FLAC, M4A
  • Video types: MP4, WebM, OGG, AVI
  • Document types: PDF, ZIP, TAR, GZIP

Enum consolidation

Removed the duplicate SupportedContentType enum from azure_blob_storage_target.py and unified all imports to use the canonical definition in pyrit.memory.storage.storage.

MIME type integration

  • Added optional content_type parameter to StorageIO.write_file_async and its implementations
  • Auto-inference from file extension via mimetypes.guess_type when not explicitly provided
  • Updated save_data_async, save_b64_image_async, save_formatted_audio_async serializers to pass inferred content_type
  • Falls back to the configured default blob_content_type

Testing

  • Added unit test test_supported_content_type_has_expected_values for all enum values
  • Added tests for content_type inference (HTML, PNG, explicit overrides)
  • Added tests for content_type propagation through serializer methods
  • Updated existing tests for the new content_type parameter

Add support for image, audio, video, and document content types
to address TODO comment in storage.py. This enables PyRIT to handle
multimodal data (images, audio, video, PDFs) when uploading to
Azure Blob Storage.

Added types:
- Text: HTML, JSON, XML, CSV, Markdown
- Image: PNG, JPEG, GIF, WebP, SVG, BMP
- Audio: WAV, MP3, OGG, FLAC, M4A
- Video: MP4, WebM, OGG, AVI
- Document: PDF, ZIP, TAR, GZIP

Includes unit tests to verify all enum values.
Comment thread pyrit/memory/storage/storage.py
- Modify AzureBlobStorageIO.write_file_async to accept content_type parameter
- Infer content_type from file extension using mimetypes.guess_type
- Pass content_type through serializers (save_data_async, save_b64_image_async, save_formatted_audio_async)
- Consolidate SupportedContentType enum imports
- Add unit tests for content_type inference and propagation

Addresses maintainer feedback on PR microsoft#2233
@lxcxjxhx

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感谢 @romanlutz 的详细反馈!我已经按照您的建议进行了修改:

  1. 修改了 AzureBlobStorageIO.write_file_async 方法:新增了可选的 content_type 参数,允许为每个文件指定 MIME 类型。

  2. 实现了 MIME 类型自动推断逻辑:使用 mimetypes.guess_type 根据文件扩展名自动推断内容类型(当未明确提供时)。

  3. 更新了序列化器:修改了 save_data_asyncsave_b64_image_asyncsave_formatted_audio_async,在保存数据时传递推断的 content_type

  4. 整合了重复的枚举:移除了重复的 AzureBlobStorageTarget 枚举,统一从 pyrit.memory.storage.storage 导入 SupportedContentType

  5. 添加了单元测试:创建了测试用例来验证 content_type 的推断和传递逻辑。

  6. 测试说明:由于本地环境限制(Windows 缺少完整依赖),依赖 CI/CD 自动运行完整测试套件。

这些修改应该能够正确支持广告中声明的媒体类型,通过将 MIME 选择逻辑集成到文件上传工作流中。如果需要进一步修改,请告诉我!

@lxcxjxhx

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@microsoft-github-policy-service agree

@romanlutz

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For context, I'm adding a translation here (I can't read Chinese):

Thanks to @romanlutz for the detailed feedback! I have made the following changes based on your suggestions:

Modified the AzureBlobStorageIO.write_file_async method: Added an optional content_type parameter to allow specifying the MIME type for each file.

Implemented automatic MIME type inference: Used mimetypes.guess_type to automatically infer the content type based on the file extension (when not explicitly provided).

Updated serializers: Modified save_data_async, save_b64_image_async, and save_formatted_audio_async to pass the inferred content_type when saving data.

Consolidated duplicate enums: Removed the redundant AzureBlobStorageTarget enum and standardized the import of SupportedContentType from pyrit.memory.storage.storage.

Added unit tests: Created test cases to verify the logic for inferring and passing the content_type.

Testing note: Due to local environment limitations (missing full dependencies on Windows), the full test suite relies on CI/CD for execution.

These changes should correctly support the media types advertised by integrating the MIME selection logic into the file upload workflow. Please let me know if further modifications are needed!

lxcxjxhx and others added 2 commits July 20, 2026 23:19
The Jupyter notebook still imported SupportedContentType from
pyrit.prompt_target.azure_blob_storage_target, which no longer
defines it (consolidated into pyrit.memory.storage.storage).

Co-Authored-By: Claude <noreply@anthropic.com>
@lxcxjxhx

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I have addressed all the review feedback:

  1. MIME type integration: Added content_type parameter to write_file_async with auto-inference from file extension via mimetypes.guess_type, falling back to configured default
  2. Serializer propagation: save_data_async, save_b64_image_async, save_formatted_audio_async now pass inferred content_type to storage layer
  3. Enum consolidation: Removed duplicate SupportedContentType from azure_blob_storage_target.py, unified all imports to pyrit.memory.storage.storage

@romanlutz could you please re-review when you have a chance?

Comment thread pyrit/memory/storage/storage.py
@abstractmethod
async def write_file_async(self, path: Path | str, data: bytes) -> None:
async def write_file_async(
self, path: Path | str, data: bytes, content_type: str | None = None

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Serializers now always pass content_type=, so third-party StorageIO implementations using the previous (path, data) contract remain concrete but fail at runtime with an unexpected keyword argument. Please preserve the generic interface/call sites, or add a backward-compatible metadata-aware API with a default implementation.

from azure.storage.blob.aio import ContainerClient as AsyncContainerClient

from pyrit.common import default_values
from pyrit.memory.storage.storage import SupportedContentType

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Consolidating these enums makes every new value valid for AzureBlobStorageTarget, but this target still accepts text/url input and always uploads str.encode(request.converted_value). Please keep this parameter restricted to textual types, or add actual binary message handling before exposing PNG, PDF, audio, and video choices.

if content_type is None:
from mimetypes import guess_type

inferred_type, _ = guess_type(blob_name)

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mimetypes.guess_type is platform-dependent and does not reliably produce the enum values added here. For example, .gz still falls back to text/plain, while Windows maps .csv, .flac, .avi, and .zip to different legacy/vendor types. Please use a deterministic extension-to-SupportedContentType mapping and test all advertised extensions.

"self._memory.results_storage_io is not initialized"
)
# Infer content type from file extension
content_type = self.get_mime_type(str(file_path))

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save_formatted_audio_async always produces RIFF/WAVE bytes, but AudioPathDataTypeSerializer defaults to an .mp3 filename, so normal callers now upload WAV data as audio/mpeg. Please force a .wav path and audio/wav here, or encode the bytes according to the requested extension.

@lxcxjxhx

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I've addressed all the review feedback:

  1. Deterministic content type mapping: Replaced \mimetypes.guess_type\ with a fixed extension-to-\SupportedContentType\ mapping to avoid platform-dependent behavior. All advertised extensions now map consistently.

  2. Text-only validation for AzureBlobStorageTarget: Added validation to restrict \�lob_content_type\ to text-based types only (PLAIN_TEXT, HTML, JSON, XML, CSV, MARKDOWN). Binary types like PNG, PDF, audio, and video are now rejected with a clear error message.

  3. Audio serializer WAV/MP3 mismatch: Fixed \save_formatted_audio_async\ to force .wav\ extension and explicitly use \�udio/wav\ content type, since the method always writes RIFF/WAVE format.

  4. Backward compatibility: Maintained the \content_type: str | None = None\ parameter signature in \StorageIO.write_file_async\ to preserve compatibility with existing implementations.

@romanlutz could you please re-review when you have a chance?

@romanlutz

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There hasn't been an update since my last comments. @lxcxjxhx

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