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🔍 Examples of Generated Samples for Code Review [DO NOT MERGE] - #4264
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| # For list of supported languages: | ||
| # https://cloud.google.com/natural-language/docs/languages | ||
| language = "en" | ||
| document = { |
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| # Available values: NONE, UTF8, UTF16, UTF32 | ||
| encoding_type = :UTF8 | ||
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| response = language_client.analyze_sentiment(document, encoding_type: encoding_type) |
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| text_content = "I am so happy and joyful." | ||
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| ARGV.options do |opts| | ||
| opts.on("--text_content=val") { |val| text_content = val } |
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Can we translate lower_snake_case to kebab-case for option names?
| opts.parse! | ||
| end | ||
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| # Analyzing Sentiment in a String | ||
| # | ||
| # @param text_content {String} The text content to analyze |
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| response.results.each do |result| | ||
| # First alternative is the most probable result | ||
| alternative = result.alternatives[0] | ||
| puts "Transcript: #{alternative.transcript}" |
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wow, this is impressive. I can't believe it's not manual.
| # description: Analyzing Sentiment in a String | ||
| # bundle exec ruby samples/v1/language_sentiment_text.rb [--text_content "I am so happy and joyful."] | ||
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| require "google/cloud/language" |
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Changes incoming! All kinds of changes in response to feedback.
Overall, lots of vertical padding added for aesthetic goodness. Generated from: https://github.com/beccasaurus/gapic-generator/compare/ruby-standalone-syntax-updates GAPIC Generator PR: |
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Closing per recent conversation ~ while these updates look good and are close to the desired state, the generation of these files is planned to move to the µgenerator. |
This Pull Request contains two code samples which were generated using the GAPIC generator:
language_sentiment_text) (config YAML)speech_transcribe_async) (config YAML)These code samples demonstrate a few features of the code sample generator:
You can find the existing, published hand-written versions of these code samples here:
For Ruby, existing hand-written code samples can be found in the
ruby-docs-samplesrepository.The goal is for these generated code samples to meet the expectations of hand-written samples.
Language experts, please TAL! 🧐
/cc @dazuma @frankyn @TheRoyalTnetennba @dizcology @blowmage
This is one of seven Pull Requests being sent for code review of rendered generated sample syntax.