feat: Adding capability use Cognitive Service Language Service asynchronously for Summarization#2342
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…ly. The transformer calls the async service and poll for result. The polling delay and max retry attempts is controlled by parameters. Request creation for each task is extracted into separate trait to make code more readable and manageable. There has been minimal changes in AnalyzeText class.
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| //------------------------------------------------------------------------------------------------------ | ||
| // Abstractive Summarization | ||
| //------------------------------------------------------------------------------------------------------ | ||
| object SummaryLength extends Enumeration { |
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How does the spark bindings API handle enums? How does this look in the schema of the dataframe
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This is just a helper enum, the field in the class is of type string
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Additional details and impacted files@@ Coverage Diff @@
## master #2342 +/- ##
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+ Coverage 84.55% 84.66% +0.10%
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Files 328 331 +3
Lines 16848 17177 +329
Branches 1513 1526 +13
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+ Hits 14246 14543 +297
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…classification. Unit tests are added to validate that requests and response are correct. Also added tiemout for AbstractiveSummary requests.
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mhamilton723
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Feb 5, 2025
mhamilton723
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Feb 5, 2025
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mhamilton723
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What changes are proposed in this pull request?
Adding a new capability to use Cognitive Service Language Service asynchronously.
The transformer calls the async service and poll for result. The polling delay and max retry attempts is controlled by parameters. Request creation for each task is extracted into separate trait to make code more readable and manageable. There has been minimal changes in AnalyzeText class.
In this PR we adding support for following tasks
How is this patch tested?
Using unit tests, I have called each service and validated that transformer is working.
Does this PR change any dependencies?
Does this PR add a new feature? If so, have you added samples on website?