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[Sample] get raw json for analyze_return_raw_json samples and tests #11892

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[Sample] get raw json for analyze_return_raw_json samples and tests #11892

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[Sample] get raw json for analyze_return_raw_json samples and tests
Dec 8, 2025
6cdca09
[Sample] print out markdown for get_raw_json sample
Dec 8, 2025
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[Sample] print out markdown for get_raw_json sample
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Chien Yuan Chang committed Dec 8, 2025
commit 6cdca09f8a3321feec539e9dfa408ecae4e05145
44 changes: 43 additions & 1 deletion ...ure-ai-contentunderstanding/samples/async_samples/sample_analyze_return_raw_json_async.py
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Original file line number Diff line number Diff line change
Expand Up @@ -114,18 +114,60 @@ async def main() -> None:

# [START extract_from_raw_json]
# Extract key information from raw JSON
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@yungshinlintw yungshinlintw Dec 8, 2025

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Can we follow samples/sample_analyze_binary.py to print out markdown and equivalent document structure to show two ways to access the same functionalities?

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@chienyuanchang chienyuanchang Dec 8, 2025

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Yes, updated

# This demonstrates accessing the same data that would be available via the object model
if "result" in response_json:
result_data = response_json["result"]

if "analyzerId" in result_data:
print(f"Analyzer ID: {result_data['analyzerId']}")
print(f"\nAnalyzer ID: {result_data['analyzerId']}")

if "contents" in result_data and isinstance(result_data["contents"], list):
print(f"Contents count: {len(result_data['contents'])}")

if len(result_data["contents"]) > 0:
first_content = result_data["contents"][0]

if "kind" in first_content:
print(f"Content kind: {first_content['kind']}")
if "mimeType" in first_content:
print(f"MIME type: {first_content['mimeType']}")

# Extract markdown content from raw JSON
# Object model equivalent: content.markdown
print("\nMarkdown Content (from raw JSON):")
print("=" * 50)
if "markdown" in first_content and first_content["markdown"]:
print(first_content["markdown"])
else:
print("No markdown content available.")
print("=" * 50)

# Extract document properties from raw JSON
# Object model equivalent: document_content.start_page_number, etc.
if first_content.get("kind") == "document":
print("\nDocument Information (from raw JSON):")
if "startPageNumber" in first_content:
print(f" Start page: {first_content['startPageNumber']}")
if "endPageNumber" in first_content:
print(f" End page: {first_content['endPageNumber']}")

start_page = first_content.get("startPageNumber")
end_page = first_content.get("endPageNumber")
if start_page and end_page:
total_pages = end_page - start_page + 1
print(f" Total pages: {total_pages}")

# Extract pages information
# Object model equivalent: document_content.pages
if "pages" in first_content and first_content["pages"]:
pages = first_content["pages"]
unit = first_content.get("unit", "units")
print(f"\nPages ({len(pages)}):")
for page in pages:
page_num = page.get("pageNumber")
width = page.get("width")
height = page.get("height")
print(f" Page {page_num}: {width} x {height} {unit}")
# [END extract_from_raw_json]

if not isinstance(credential, AzureKeyCredential):
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44 changes: 43 additions & 1 deletion ...tentunderstanding/azure-ai-contentunderstanding/samples/sample_analyze_return_raw_json.py
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Original file line number Diff line number Diff line change
Expand Up @@ -114,18 +114,60 @@ def main() -> None:

# [START extract_from_raw_json]
# Extract key information from raw JSON
# This demonstrates accessing the same data that would be available via the object model
if "result" in response_json:
result_data = response_json["result"]

if "analyzerId" in result_data:
print(f"Analyzer ID: {result_data['analyzerId']}")
print(f"\nAnalyzer ID: {result_data['analyzerId']}")

if "contents" in result_data and isinstance(result_data["contents"], list):
print(f"Contents count: {len(result_data['contents'])}")

if len(result_data["contents"]) > 0:
first_content = result_data["contents"][0]

if "kind" in first_content:
print(f"Content kind: {first_content['kind']}")
if "mimeType" in first_content:
print(f"MIME type: {first_content['mimeType']}")

# Extract markdown content from raw JSON
# Object model equivalent: content.markdown
print("\nMarkdown Content (from raw JSON):")
print("=" * 50)
if "markdown" in first_content and first_content["markdown"]:
print(first_content["markdown"])
else:
print("No markdown content available.")
print("=" * 50)

# Extract document properties from raw JSON
# Object model equivalent: document_content.start_page_number, etc.
if first_content.get("kind") == "document":
print("\nDocument Information (from raw JSON):")
if "startPageNumber" in first_content:
print(f" Start page: {first_content['startPageNumber']}")
if "endPageNumber" in first_content:
print(f" End page: {first_content['endPageNumber']}")

start_page = first_content.get("startPageNumber")
end_page = first_content.get("endPageNumber")
if start_page and end_page:
total_pages = end_page - start_page + 1
print(f" Total pages: {total_pages}")

# Extract pages information
# Object model equivalent: document_content.pages
if "pages" in first_content and first_content["pages"]:
pages = first_content["pages"]
unit = first_content.get("unit", "units")
print(f"\nPages ({len(pages)}):")
for page in pages:
page_num = page.get("pageNumber")
width = page.get("width")
height = page.get("height")
print(f" Page {page_num}: {width} x {height} {unit}")
# [END extract_from_raw_json]


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