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[formrecognizer] Small sample fixes #20959

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Sep 30, 2021
Merged

[formrecognizer] Small sample fixes #20959

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9d9bb1e
misc sample fixes
catalinaperalta Sep 30, 2021
a11eb8d
update docs
catalinaperalta Sep 30, 2021
b916705
rename and updates
catalinaperalta Sep 30, 2021
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14 changes: 5 additions & 9 deletions ..._samples/sample_analyze_document_async.py → ...sample_analyze_prebuilt_document_async.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,18 +7,14 @@
# --------------------------------------------------------------------------

"""
FILE: sample_analyze_document_async.py
FILE: sample_analyze_prebuilt_document_async.py

DESCRIPTION:
This sample demonstrates how to extract general document information from a document
given through a file.

Note that selection marks returned from begin_analyze_document() do not return the text associated with
the checkbox. For the API to return this information, build a custom model to analyze the checkbox and its text.
See sample_build_model_async.py for more information.

USAGE:
python sample_analyze_document_async.py
python sample_analyze_prebuilt_document_async.py

Set the environment variables with your own values before running the sample:
1) AZURE_FORM_RECOGNIZER_ENDPOINT - the endpoint to your Cognitive Services resource.
Expand Down Expand Up @@ -131,7 +127,7 @@ async def analyze_document():
)
for region in cell.bounding_regions:
print(
"...content on page {} is within bounding box '{}'".format(
"...content on page {} is within bounding box '{}'\n".format(
region.page_number,
format_bounding_box(region.bounding_box),
)
Expand All @@ -142,7 +138,7 @@ async def analyze_document():
print("Entity of category '{}' with sub-category '{}'".format(entity.category, entity.sub_category))
print("...has content '{}'".format(entity.content))
print("...within '{}' bounding regions".format(format_bounding_region(entity.bounding_regions)))
print("...with confidence {}".format(entity.confidence))
print("...with confidence {}\n".format(entity.confidence))

print("----Key-value pairs found in document----")
for idx, kv_pair in enumerate(result.key_value_pairs):
Expand All @@ -155,7 +151,7 @@ async def analyze_document():
)
if kv_pair.value:
print(
"Value '{}' found within '{}' bounding regions".format(
"Value '{}' found within '{}' bounding regions\n".format(
kv_pair.value.content,
format_bounding_region(kv_pair.value.bounding_regions),
)
Expand Down
14 changes: 5 additions & 9 deletions ...ples/v3.2-beta/sample_analyze_document.py → ...-beta/sample_analyze_prebuilt_document.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,18 +7,14 @@
# --------------------------------------------------------------------------

"""
FILE: sample_analyze_document.py
FILE: sample_analyze_prebuilt_document.py

DESCRIPTION:
This sample demonstrates how to extract general document information from a document
given through a file.

Note that selection marks returned from begin_analyze_document() do not return the text associated with
the checkbox. For the API to return this information, build a custom model to analyze the checkbox and its text.
See sample_build_model.py for more information.

USAGE:
python sample_analyze_document.py
python sample_analyze_prebuilt_document.py

Set the environment variables with your own values before running the sample:
1) AZURE_FORM_RECOGNIZER_ENDPOINT - the endpoint to your Cognitive Services resource.
Expand Down Expand Up @@ -127,7 +123,7 @@ def analyze_document():
)
for region in cell.bounding_regions:
print(
"...content on page {} is within bounding box '{}'".format(
"...content on page {} is within bounding box '{}'\n".format(
region.page_number,
format_bounding_box(region.bounding_box),
)
Expand All @@ -138,7 +134,7 @@ def analyze_document():
print("Entity of category '{}' with sub-category '{}'".format(entity.category, entity.sub_category))
print("...has content '{}'".format(entity.content))
print("...within '{}' bounding regions".format(format_bounding_region(entity.bounding_regions)))
print("...with confidence {}".format(entity.confidence))
print("...with confidence {}\n".format(entity.confidence))

print("----Key-value pairs found in document----")
for kv_pair in result.key_value_pairs:
Expand All @@ -151,7 +147,7 @@ def analyze_document():
)
if kv_pair.value:
print(
"Value '{}' found within '{}' bounding regions".format(
"Value '{}' found within '{}' bounding regions\n".format(
kv_pair.value.content,
format_bounding_region(kv_pair.value.bounding_regions),
)
Expand Down