%global _empty_manifest_terminate_build 0 Name: python-amazon-textract-helper Version: 0.0.34 Release: 1 Summary: Amazon Textract Helper tools License: Apache License Version 2.0 URL: https://github.com/aws-samples/amazon-textract-textractor/tree/master/helper Source0: https://mirrors.nju.edu.cn/pypi/web/packages/55/d3/c219329b180317f1e119f8da28cfba26e71ef0f4278b5e89f3700247df21/amazon-textract-helper-0.0.34.tar.gz BuildArch: noarch Requires: python3-boto3 Requires: python3-botocore Requires: python3-amazon-textract-response-parser Requires: python3-amazon-textract-caller Requires: python3-amazon-textract-overlayer Requires: python3-amazon-textract-prettyprinter Requires: python3-Pillow Requires: python3-PyPDF2 %description # Textractor-Textract-Helper amazon-textract-helper provides a collection of ready to use functions and sample implementations to speed up the evaluation and development for any project using Amazon Textract. It installs a command line tool called ```amazon-textract``` # Install ```bash > python -m pip install amazon-textract-helper ``` Make sure your environment is setup with AWS credentials through configuration files or environment variables or an attached role. (https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html) # Test ```bash > amazon-textract --help usage: amazon-textract [-h] (--input-document INPUT_DOCUMENT | --example | --stdin) [--features {FORMS,TABLES} [{FORMS,TABLES} ...]] [--pretty-print {WORDS,LINES,FORMS,TABLES} [{WORDS,LINES,FORMS,TABLES} ...]] [--pretty-print-table-format {csv,plain,simple,github,grid,fancy_grid,pipe,orgtbl,jira,presto,pretty,psql,rst,medi awiki,moinmoin,youtrack,html,unsafehtml,latex,latex_raw,latex_booktabs,latex_longtable,textile,tsv}] [--overlay {WORD,LINE,FORM,KEY,VALUE,TABLE,CELL} [{WORD,LINE,FORM,KEY,VALUE,TABLE,CELL} ...]] [--pop-up-overlay-output] [--overlay-output-folder OVERLAY_OUTPUT_FOLDER] [--version] [--no-stdout] [-v | -vv] optional arguments: -h, --help show this help message and exit --input-document INPUT_DOCUMENT s3 object (s3://) or file from local filesystem --example using the example document to call Textract --stdin receive JSON from stdin --features {FORMS,TABLES} [{FORMS,TABLES} ...] features to call Textract with. Will trigger call to AnalyzeDocument instead of DetectDocumentText --pretty-print {WORDS,LINES,FORMS,TABLES} [{WORDS,LINES,FORMS,TABLES} ...] --pretty-print-table-format {csv,plain,simple,github,grid,fancy_grid,pipe,orgtbl,jira,presto,pretty,psql,rst,mediawiki,moinmoin,youtrac k,html,unsafehtml,latex,latex_raw,latex_booktabs,latex_longtable,textile,tsv} which format to output the pretty print information to. Only effects FORMS and TABLES --overlay {WORD,LINE,FORM,KEY,VALUE,TABLE,CELL} [{WORD,LINE,FORM,KEY,VALUE,TABLE,CELL} ...] defines what bounding boxes to draw on the output --pop-up-overlay-output shows image with overlay --overlay-text shows image with WORD or LINE text overlay. When both WORD and LINE overlay are specified, WORD text will be overlayed --overlay-confidence shows image with confidence overlay --overlay-output-folder OVERLAY_OUTPUT_FOLDER output with bounding boxes to folder --version print version information --no-stdout no output to stdout -v >=INFO level logging output to stderr -vv >=DEBUG level logging output to stderr ``` # Sample Commands ## Easy Start ```bash > amazon-textract --example ``` this will run the examples document using the DetectDocumentText API. Output will be printed to stdout and look similar to this: ```json {"DocumentMetadata": {"Pages": 1}, "Blocks": [{"BlockType": "PAGE", "Geometry": {"BoundingBox": {"Width": 1.0, "Height": 1.0, "Left": 0.0 , "Top": 0.0}, "Polygon": [{"X": 9.33321120033382e-17, "Y": 0.0}, {"X": 1.0, "Y": 1.6069064689339292e-16}, {"X": 1.0, "Y": 1.0}], "HTTPHeaders": {"x-amzn-requestid": "12345678-1234-1234-1234-123456789012", "content-type": "a pplication/x-amz-json-1.1", "content-length": "48177", "date": "Thu, 01 Apr 2021 21:50:29 GMT"}, "RetryAttempts": 0}} ``` It is working. ## Call with document on S3 ```bash > amazon-textract --input-document "s3://somebucket/someprefix/someobjectname.png" ``` Output similar to Easy Start ## Call with document on local file system ```bash > amazon-textract --input-document "./somepath/somefilename.png" ``` Output similar to Easy Start We will continue to use the ```--example``` parameter to keep it simple and easy to reproduce. S3 and local files work the same way, just instead of --example use --input-document . ## Call with STDIN ```bash # first create JSON amazon-textract --example > example.json # now use a stored JSON with the ```amazon-textract``` command cat example.json | amazon-textract --stdin -pretty-print LINES ``` ## Call with FORMS and TABLES ```bash > amazon-textract --example --features FORMS TABLES ``` This will call the [AnalyzeDocument API] (https://docs.aws.amazon.com/textract/latest/dg/API_AnalyzeDocument.html) and output will include Output will look similar to "Easy Start" but include FORMS and TABLES information ## Pretty print the output Pretty print outputs nicely formatted information for words, lines, forms or tables. For example to print the tables identified by Amazon Textract to stdout, use ```bash > amazon-textract --example --features TABLES --pretty-print TABLES ``` Output will look like this: ```text |------------|-----------|---------------------|-----------------|-----------------------| | | | Previous Employment | History | | | Start Date | End Date | Employer Name | Position Held | Reason for leaving | | 1/15/2009 | 6/30/2011 | Any Company | Assistant Baker | Family relocated | | 7/1/2011 | 8/10/2013 | Best Corp. | Baker | Better opportunity | | 8/15/2013 | present | Example Corp. | Head Baker | N/A, current employer | ``` to pretty print both, FORMS and TABLES: ```bash > amazon-textract --example --features FORMS TABLES --pretty-print FORMS TABLES ``` will output ```text Phone Number:: 555-0100 Home Address:: 123 Any Street, Any Town, USA Full Name:: Jane Doe Mailing Address:: same as home address |------------|-----------|---------------------|-----------------|-----------------------| | | | Previous Employment | History | | | Start Date | End Date | Employer Name | Position Held | Reason for leaving | | 1/15/2009 | 6/30/2011 | Any Company | Assistant Baker | Family relocated | | 7/1/2011 | 8/10/2013 | Best Corp. | Baker | Better opportunity | | 8/15/2013 | present | Example Corp. | Head Baker | N/A, current employer | ``` ## Overlay **At the moment overlay only works with images, we will add support for PDF soon.** The following command runs DetectDocumentText, pretty prints the WORDS in the document to stdout and draws bounding boxes around each WORD and displays the result in a popup window and stores it to a folder called 'overlay-output-folder-name'. ```bash amazon-textract --example --pretty-print WORDS --overlay WORD --pop-up-overlay-output --overlay-output-folder overlay-output-folder-name ``` Sample overlay WORD The following command runs AnalyzeDocument for FORMS and TABLES, pretty prints FORMS and TABLES to to stdout and draws bounding boxes around each TABLE-CELL and FORM KEY/VALUE and displays the result in a popup window and stores it to a folder called 'overlay-output-folder-name'. ```bash > amazon-textract --example --features TABLES FORMS --pretty-print FORMS TABLES --overlay FORM CELL --pop-up-overlay-output --overlay-output-folder ../mywonderfuloutputfolderfordocs/ ``` Sample overlay FORM CELL The following command draws bounding boxes around each WORD, overlays the detected WORD text, and displays the result in a popup window and stores it to a folder called 'overlay-output-folder-name'. ```bash > amazon-textract --example --overlay WORD --overlay-text --pop-up-overlay-output --overlay-output-folder overlay-output-folder-name ``` Sample overlay LINE with overlay text and confidence percentage The following command draws bounding boxes around each LINE, overlays LINE text along with percentage confidence of the detected LINE text, and displays the result in a popup window and stores it to a folder called 'overlay-output-folder-name'. ```bash > amazon-textract --example --overlay LINE --overlay-text --overlay-confidence --pop-up-overlay-output --overlay-output-folder overlay-output-folder-name ``` Sample overlay LINE with overlay text and confidence percentage %package -n python3-amazon-textract-helper Summary: Amazon Textract Helper tools Provides: python-amazon-textract-helper BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-amazon-textract-helper # Textractor-Textract-Helper amazon-textract-helper provides a collection of ready to use functions and sample implementations to speed up the evaluation and development for any project using Amazon Textract. It installs a command line tool called ```amazon-textract``` # Install ```bash > python -m pip install amazon-textract-helper ``` Make sure your environment is setup with AWS credentials through configuration files or environment variables or an attached role. (https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html) # Test ```bash > amazon-textract --help usage: amazon-textract [-h] (--input-document INPUT_DOCUMENT | --example | --stdin) [--features {FORMS,TABLES} [{FORMS,TABLES} ...]] [--pretty-print {WORDS,LINES,FORMS,TABLES} [{WORDS,LINES,FORMS,TABLES} ...]] [--pretty-print-table-format {csv,plain,simple,github,grid,fancy_grid,pipe,orgtbl,jira,presto,pretty,psql,rst,medi awiki,moinmoin,youtrack,html,unsafehtml,latex,latex_raw,latex_booktabs,latex_longtable,textile,tsv}] [--overlay {WORD,LINE,FORM,KEY,VALUE,TABLE,CELL} [{WORD,LINE,FORM,KEY,VALUE,TABLE,CELL} ...]] [--pop-up-overlay-output] [--overlay-output-folder OVERLAY_OUTPUT_FOLDER] [--version] [--no-stdout] [-v | -vv] optional arguments: -h, --help show this help message and exit --input-document INPUT_DOCUMENT s3 object (s3://) or file from local filesystem --example using the example document to call Textract --stdin receive JSON from stdin --features {FORMS,TABLES} [{FORMS,TABLES} ...] features to call Textract with. Will trigger call to AnalyzeDocument instead of DetectDocumentText --pretty-print {WORDS,LINES,FORMS,TABLES} [{WORDS,LINES,FORMS,TABLES} ...] --pretty-print-table-format {csv,plain,simple,github,grid,fancy_grid,pipe,orgtbl,jira,presto,pretty,psql,rst,mediawiki,moinmoin,youtrac k,html,unsafehtml,latex,latex_raw,latex_booktabs,latex_longtable,textile,tsv} which format to output the pretty print information to. Only effects FORMS and TABLES --overlay {WORD,LINE,FORM,KEY,VALUE,TABLE,CELL} [{WORD,LINE,FORM,KEY,VALUE,TABLE,CELL} ...] defines what bounding boxes to draw on the output --pop-up-overlay-output shows image with overlay --overlay-text shows image with WORD or LINE text overlay. When both WORD and LINE overlay are specified, WORD text will be overlayed --overlay-confidence shows image with confidence overlay --overlay-output-folder OVERLAY_OUTPUT_FOLDER output with bounding boxes to folder --version print version information --no-stdout no output to stdout -v >=INFO level logging output to stderr -vv >=DEBUG level logging output to stderr ``` # Sample Commands ## Easy Start ```bash > amazon-textract --example ``` this will run the examples document using the DetectDocumentText API. Output will be printed to stdout and look similar to this: ```json {"DocumentMetadata": {"Pages": 1}, "Blocks": [{"BlockType": "PAGE", "Geometry": {"BoundingBox": {"Width": 1.0, "Height": 1.0, "Left": 0.0 , "Top": 0.0}, "Polygon": [{"X": 9.33321120033382e-17, "Y": 0.0}, {"X": 1.0, "Y": 1.6069064689339292e-16}, {"X": 1.0, "Y": 1.0}], "HTTPHeaders": {"x-amzn-requestid": "12345678-1234-1234-1234-123456789012", "content-type": "a pplication/x-amz-json-1.1", "content-length": "48177", "date": "Thu, 01 Apr 2021 21:50:29 GMT"}, "RetryAttempts": 0}} ``` It is working. ## Call with document on S3 ```bash > amazon-textract --input-document "s3://somebucket/someprefix/someobjectname.png" ``` Output similar to Easy Start ## Call with document on local file system ```bash > amazon-textract --input-document "./somepath/somefilename.png" ``` Output similar to Easy Start We will continue to use the ```--example``` parameter to keep it simple and easy to reproduce. S3 and local files work the same way, just instead of --example use --input-document . ## Call with STDIN ```bash # first create JSON amazon-textract --example > example.json # now use a stored JSON with the ```amazon-textract``` command cat example.json | amazon-textract --stdin -pretty-print LINES ``` ## Call with FORMS and TABLES ```bash > amazon-textract --example --features FORMS TABLES ``` This will call the [AnalyzeDocument API] (https://docs.aws.amazon.com/textract/latest/dg/API_AnalyzeDocument.html) and output will include Output will look similar to "Easy Start" but include FORMS and TABLES information ## Pretty print the output Pretty print outputs nicely formatted information for words, lines, forms or tables. For example to print the tables identified by Amazon Textract to stdout, use ```bash > amazon-textract --example --features TABLES --pretty-print TABLES ``` Output will look like this: ```text |------------|-----------|---------------------|-----------------|-----------------------| | | | Previous Employment | History | | | Start Date | End Date | Employer Name | Position Held | Reason for leaving | | 1/15/2009 | 6/30/2011 | Any Company | Assistant Baker | Family relocated | | 7/1/2011 | 8/10/2013 | Best Corp. | Baker | Better opportunity | | 8/15/2013 | present | Example Corp. | Head Baker | N/A, current employer | ``` to pretty print both, FORMS and TABLES: ```bash > amazon-textract --example --features FORMS TABLES --pretty-print FORMS TABLES ``` will output ```text Phone Number:: 555-0100 Home Address:: 123 Any Street, Any Town, USA Full Name:: Jane Doe Mailing Address:: same as home address |------------|-----------|---------------------|-----------------|-----------------------| | | | Previous Employment | History | | | Start Date | End Date | Employer Name | Position Held | Reason for leaving | | 1/15/2009 | 6/30/2011 | Any Company | Assistant Baker | Family relocated | | 7/1/2011 | 8/10/2013 | Best Corp. | Baker | Better opportunity | | 8/15/2013 | present | Example Corp. | Head Baker | N/A, current employer | ``` ## Overlay **At the moment overlay only works with images, we will add support for PDF soon.** The following command runs DetectDocumentText, pretty prints the WORDS in the document to stdout and draws bounding boxes around each WORD and displays the result in a popup window and stores it to a folder called 'overlay-output-folder-name'. ```bash amazon-textract --example --pretty-print WORDS --overlay WORD --pop-up-overlay-output --overlay-output-folder overlay-output-folder-name ``` Sample overlay WORD The following command runs AnalyzeDocument for FORMS and TABLES, pretty prints FORMS and TABLES to to stdout and draws bounding boxes around each TABLE-CELL and FORM KEY/VALUE and displays the result in a popup window and stores it to a folder called 'overlay-output-folder-name'. ```bash > amazon-textract --example --features TABLES FORMS --pretty-print FORMS TABLES --overlay FORM CELL --pop-up-overlay-output --overlay-output-folder ../mywonderfuloutputfolderfordocs/ ``` Sample overlay FORM CELL The following command draws bounding boxes around each WORD, overlays the detected WORD text, and displays the result in a popup window and stores it to a folder called 'overlay-output-folder-name'. ```bash > amazon-textract --example --overlay WORD --overlay-text --pop-up-overlay-output --overlay-output-folder overlay-output-folder-name ``` Sample overlay LINE with overlay text and confidence percentage The following command draws bounding boxes around each LINE, overlays LINE text along with percentage confidence of the detected LINE text, and displays the result in a popup window and stores it to a folder called 'overlay-output-folder-name'. ```bash > amazon-textract --example --overlay LINE --overlay-text --overlay-confidence --pop-up-overlay-output --overlay-output-folder overlay-output-folder-name ``` Sample overlay LINE with overlay text and confidence percentage %package help Summary: Development documents and examples for amazon-textract-helper Provides: python3-amazon-textract-helper-doc %description help # Textractor-Textract-Helper amazon-textract-helper provides a collection of ready to use functions and sample implementations to speed up the evaluation and development for any project using Amazon Textract. It installs a command line tool called ```amazon-textract``` # Install ```bash > python -m pip install amazon-textract-helper ``` Make sure your environment is setup with AWS credentials through configuration files or environment variables or an attached role. (https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html) # Test ```bash > amazon-textract --help usage: amazon-textract [-h] (--input-document INPUT_DOCUMENT | --example | --stdin) [--features {FORMS,TABLES} [{FORMS,TABLES} ...]] [--pretty-print {WORDS,LINES,FORMS,TABLES} [{WORDS,LINES,FORMS,TABLES} ...]] [--pretty-print-table-format {csv,plain,simple,github,grid,fancy_grid,pipe,orgtbl,jira,presto,pretty,psql,rst,medi awiki,moinmoin,youtrack,html,unsafehtml,latex,latex_raw,latex_booktabs,latex_longtable,textile,tsv}] [--overlay {WORD,LINE,FORM,KEY,VALUE,TABLE,CELL} [{WORD,LINE,FORM,KEY,VALUE,TABLE,CELL} ...]] [--pop-up-overlay-output] [--overlay-output-folder OVERLAY_OUTPUT_FOLDER] [--version] [--no-stdout] [-v | -vv] optional arguments: -h, --help show this help message and exit --input-document INPUT_DOCUMENT s3 object (s3://) or file from local filesystem --example using the example document to call Textract --stdin receive JSON from stdin --features {FORMS,TABLES} [{FORMS,TABLES} ...] features to call Textract with. Will trigger call to AnalyzeDocument instead of DetectDocumentText --pretty-print {WORDS,LINES,FORMS,TABLES} [{WORDS,LINES,FORMS,TABLES} ...] --pretty-print-table-format {csv,plain,simple,github,grid,fancy_grid,pipe,orgtbl,jira,presto,pretty,psql,rst,mediawiki,moinmoin,youtrac k,html,unsafehtml,latex,latex_raw,latex_booktabs,latex_longtable,textile,tsv} which format to output the pretty print information to. Only effects FORMS and TABLES --overlay {WORD,LINE,FORM,KEY,VALUE,TABLE,CELL} [{WORD,LINE,FORM,KEY,VALUE,TABLE,CELL} ...] defines what bounding boxes to draw on the output --pop-up-overlay-output shows image with overlay --overlay-text shows image with WORD or LINE text overlay. When both WORD and LINE overlay are specified, WORD text will be overlayed --overlay-confidence shows image with confidence overlay --overlay-output-folder OVERLAY_OUTPUT_FOLDER output with bounding boxes to folder --version print version information --no-stdout no output to stdout -v >=INFO level logging output to stderr -vv >=DEBUG level logging output to stderr ``` # Sample Commands ## Easy Start ```bash > amazon-textract --example ``` this will run the examples document using the DetectDocumentText API. Output will be printed to stdout and look similar to this: ```json {"DocumentMetadata": {"Pages": 1}, "Blocks": [{"BlockType": "PAGE", "Geometry": {"BoundingBox": {"Width": 1.0, "Height": 1.0, "Left": 0.0 , "Top": 0.0}, "Polygon": [{"X": 9.33321120033382e-17, "Y": 0.0}, {"X": 1.0, "Y": 1.6069064689339292e-16}, {"X": 1.0, "Y": 1.0}], "HTTPHeaders": {"x-amzn-requestid": "12345678-1234-1234-1234-123456789012", "content-type": "a pplication/x-amz-json-1.1", "content-length": "48177", "date": "Thu, 01 Apr 2021 21:50:29 GMT"}, "RetryAttempts": 0}} ``` It is working. ## Call with document on S3 ```bash > amazon-textract --input-document "s3://somebucket/someprefix/someobjectname.png" ``` Output similar to Easy Start ## Call with document on local file system ```bash > amazon-textract --input-document "./somepath/somefilename.png" ``` Output similar to Easy Start We will continue to use the ```--example``` parameter to keep it simple and easy to reproduce. S3 and local files work the same way, just instead of --example use --input-document . ## Call with STDIN ```bash # first create JSON amazon-textract --example > example.json # now use a stored JSON with the ```amazon-textract``` command cat example.json | amazon-textract --stdin -pretty-print LINES ``` ## Call with FORMS and TABLES ```bash > amazon-textract --example --features FORMS TABLES ``` This will call the [AnalyzeDocument API] (https://docs.aws.amazon.com/textract/latest/dg/API_AnalyzeDocument.html) and output will include Output will look similar to "Easy Start" but include FORMS and TABLES information ## Pretty print the output Pretty print outputs nicely formatted information for words, lines, forms or tables. For example to print the tables identified by Amazon Textract to stdout, use ```bash > amazon-textract --example --features TABLES --pretty-print TABLES ``` Output will look like this: ```text |------------|-----------|---------------------|-----------------|-----------------------| | | | Previous Employment | History | | | Start Date | End Date | Employer Name | Position Held | Reason for leaving | | 1/15/2009 | 6/30/2011 | Any Company | Assistant Baker | Family relocated | | 7/1/2011 | 8/10/2013 | Best Corp. | Baker | Better opportunity | | 8/15/2013 | present | Example Corp. | Head Baker | N/A, current employer | ``` to pretty print both, FORMS and TABLES: ```bash > amazon-textract --example --features FORMS TABLES --pretty-print FORMS TABLES ``` will output ```text Phone Number:: 555-0100 Home Address:: 123 Any Street, Any Town, USA Full Name:: Jane Doe Mailing Address:: same as home address |------------|-----------|---------------------|-----------------|-----------------------| | | | Previous Employment | History | | | Start Date | End Date | Employer Name | Position Held | Reason for leaving | | 1/15/2009 | 6/30/2011 | Any Company | Assistant Baker | Family relocated | | 7/1/2011 | 8/10/2013 | Best Corp. | Baker | Better opportunity | | 8/15/2013 | present | Example Corp. | Head Baker | N/A, current employer | ``` ## Overlay **At the moment overlay only works with images, we will add support for PDF soon.** The following command runs DetectDocumentText, pretty prints the WORDS in the document to stdout and draws bounding boxes around each WORD and displays the result in a popup window and stores it to a folder called 'overlay-output-folder-name'. ```bash amazon-textract --example --pretty-print WORDS --overlay WORD --pop-up-overlay-output --overlay-output-folder overlay-output-folder-name ``` Sample overlay WORD The following command runs AnalyzeDocument for FORMS and TABLES, pretty prints FORMS and TABLES to to stdout and draws bounding boxes around each TABLE-CELL and FORM KEY/VALUE and displays the result in a popup window and stores it to a folder called 'overlay-output-folder-name'. ```bash > amazon-textract --example --features TABLES FORMS --pretty-print FORMS TABLES --overlay FORM CELL --pop-up-overlay-output --overlay-output-folder ../mywonderfuloutputfolderfordocs/ ``` Sample overlay FORM CELL The following command draws bounding boxes around each WORD, overlays the detected WORD text, and displays the result in a popup window and stores it to a folder called 'overlay-output-folder-name'. ```bash > amazon-textract --example --overlay WORD --overlay-text --pop-up-overlay-output --overlay-output-folder overlay-output-folder-name ``` Sample overlay LINE with overlay text and confidence percentage The following command draws bounding boxes around each LINE, overlays LINE text along with percentage confidence of the detected LINE text, and displays the result in a popup window and stores it to a folder called 'overlay-output-folder-name'. ```bash > amazon-textract --example --overlay LINE --overlay-text --overlay-confidence --pop-up-overlay-output --overlay-output-folder overlay-output-folder-name ``` Sample overlay LINE with overlay text and confidence percentage %prep %autosetup -n amazon-textract-helper-0.0.34 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-amazon-textract-helper -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue May 30 2023 Python_Bot - 0.0.34-1 - Package Spec generated