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Python: Correction of MCP image type conversion in _mcp.py (#2901)
* Correction of MCP image type conversion in _mcp.py * Added a new overload to the init function of the DataContent() type of the Agent Framework, edited the test case to correctly test the usage of the data and uri fields while using DataContent() * Fixed tests related to the changes of the DataContent type, added testing for both string and byte representations
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@@ -75,17 +75,21 @@ def test_mcp_call_tool_result_to_ai_contents():
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mcp_result = types.CallToolResult(
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content=[
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types.TextContent(type="text", text="Result text"),
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types.ImageContent(type="image", data="data:image/png;base64,xyz", mimeType="image/png"),
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types.ImageContent(type="image", data="xyz", mimeType="image/png"),
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types.ImageContent(type="image", data=b"abc", mimeType="image/webp"),
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]
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)
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ai_contents = _mcp_call_tool_result_to_ai_contents(mcp_result)
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assert len(ai_contents) == 2
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assert len(ai_contents) == 3
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assert isinstance(ai_contents[0], TextContent)
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assert ai_contents[0].text == "Result text"
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assert isinstance(ai_contents[1], DataContent)
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assert ai_contents[1].uri == "data:image/png;base64,xyz"
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assert ai_contents[1].media_type == "image/png"
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assert isinstance(ai_contents[2], DataContent)
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assert ai_contents[2].uri == "data:image/webp;base64,abc"
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assert ai_contents[2].media_type == "image/webp"
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def test_mcp_call_tool_result_with_meta_error():
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@@ -183,7 +187,7 @@ def test_mcp_call_tool_result_regression_successful_workflow():
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mcp_result = types.CallToolResult(
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content=[
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types.TextContent(type="text", text="Success message"),
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types.ImageContent(type="image", data="data:image/jpeg;base64,abc123", mimeType="image/jpeg"),
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types.ImageContent(type="image", data="abc123", mimeType="image/jpeg"),
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]
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)
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@@ -218,7 +222,8 @@ def test_mcp_content_types_to_ai_content_text():
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def test_mcp_content_types_to_ai_content_image():
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"""Test conversion of MCP image content to AI content."""
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mcp_content = types.ImageContent(type="image", data="data:image/jpeg;base64,abc", mimeType="image/jpeg")
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mcp_content = types.ImageContent(type="image", data="abc", mimeType="image/jpeg")
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mcp_content = types.ImageContent(type="image", data=b"abc", mimeType="image/jpeg")
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ai_content = _mcp_type_to_ai_content(mcp_content)[0]
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assert isinstance(ai_content, DataContent)
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@@ -229,7 +234,7 @@ def test_mcp_content_types_to_ai_content_image():
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def test_mcp_content_types_to_ai_content_audio():
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"""Test conversion of MCP audio content to AI content."""
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mcp_content = types.AudioContent(type="audio", data="data:audio/wav;base64,def", mimeType="audio/wav")
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mcp_content = types.AudioContent(type="audio", data="def", mimeType="audio/wav")
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ai_content = _mcp_type_to_ai_content(mcp_content)[0]
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assert isinstance(ai_content, DataContent)
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