IBM Watson Language

from("direct:sentiment")
    .setBody(constant("I love this product! It's amazing!"))
    .to("ibm-watson-language:default?apiKey=RAW(yourApiKey)&operation=analyzeText&analyzeSentiment=true&analyzeEntities=false&analyzeKeywords=false")
    .process(exchange -> {
        AnalysisResults results = exchange.getIn().getBody(AnalysisResults.class);
        String sentiment = results.getSentiment().getDocument().getLabel();
        Double score = results.getSentiment().getDocument().getScore();
        // Or use convenience headers:
        String sentimentLabel = exchange.getIn().getHeader("CamelIBMWatsonLanguageSentimentLabel", String.class);
        Double sentimentScore = exchange.getIn().getHeader("CamelIBMWatsonLanguageSentimentScore", Double.class);
    });

- from:
    uri: direct:sentiment
    steps:
      - setBody:
          constant: "I love this product! It's amazing!"
      - to:
          uri: ibm-watson-language:default
          parameters:
            apiKey: RAW(yourApiKey)
            operation: analyzeText
            analyzeSentiment: true
            analyzeEntities: false
            analyzeKeywords: false
      - log: "Sentiment: ${header.CamelIBMWatsonLanguageSentimentLabel} (${header.CamelIBMWatsonLanguageSentimentScore})"

from("direct:analyze")
    .setBody(constant("IBM Watson is an AI platform developed by IBM in Armonk, New York."))
    .to("ibm-watson-language:default?apiKey=RAW(yourApiKey)&operation=analyzeText&analyzeSentiment=false&analyzeEntities=true&analyzeKeywords=true")
    .process(exchange -> {
        AnalysisResults results = exchange.getIn().getBody(AnalysisResults.class);
        results.getEntities().forEach(entity ->
            System.out.println("Entity: " + entity.getText() + " (" + entity.getType() + ")")
        );
        results.getKeywords().forEach(keyword ->
            System.out.println("Keyword: " + keyword.getText() + " (relevance: " + keyword.getRelevance() + ")")
        );
    });

- from:
    uri: direct:analyze
    steps:
      - setBody:
          constant: "IBM Watson is an AI platform developed by IBM in Armonk, New York."
      - to:
          uri: ibm-watson-language:default
          parameters:
            apiKey: RAW(yourApiKey)
            operation: analyzeText
            analyzeSentiment: false
            analyzeEntities: true
            analyzeKeywords: true
      - log: "Analysis complete: ${body}"

from("direct:comprehensive")
    .setBody(constant("Apple Inc. announced record profits. The CEO praised the team's innovation."))
    .to("ibm-watson-language:default?apiKey=RAW(yourApiKey)&operation=analyzeText&analyzeSentiment=true&analyzeEntities=true&analyzeKeywords=true&analyzeEmotion=true")
    .process(exchange -> {
        AnalysisResults results = exchange.getIn().getBody(AnalysisResults.class);
        System.out.println("Sentiment: " + results.getSentiment().getDocument().getLabel());
        System.out.println("Entities: " + results.getEntities().size());
        System.out.println("Keywords: " + results.getKeywords().size());
        if (results.getEmotion() != null) {
            System.out.println("Emotions: " + results.getEmotion().getDocument().getEmotion());
        }
    });

- from:
    uri: direct:comprehensive
    steps:
      - setBody:
          constant: "Apple Inc. announced record profits. The CEO praised the team's innovation."
      - to:
          uri: ibm-watson-language:default
          parameters:
            apiKey: RAW(yourApiKey)
            operation: analyzeText
            analyzeSentiment: true
            analyzeEntities: true
            analyzeKeywords: true
            analyzeEmotion: true

from("direct:url")
    .setHeader("CamelIBMWatsonLanguageUrl", constant("https://www.ibm.com/watson"))
    .to("ibm-watson-language:default?apiKey=RAW(yourApiKey)&operation=analyzeUrl&analyzeSentiment=true&analyzeKeywords=true")
    .process(exchange -> {
        AnalysisResults results = exchange.getIn().getBody(AnalysisResults.class);
        System.out.println("Page language: " + results.getLanguage());
        System.out.println("Page sentiment: " + results.getSentiment().getDocument().getLabel());
    });

- from:
    uri: direct:url
    steps:
      - setHeader:
          name: CamelIBMWatsonLanguageUrl
          constant: "https://www.ibm.com/watson"
      - to:
          uri: ibm-watson-language:default
          parameters:
            apiKey: RAW(yourApiKey)
            operation: analyzeUrl
            analyzeSentiment: true
            analyzeKeywords: true
      - log: "Page sentiment: ${header.CamelIBMWatsonLanguageSentimentLabel}"

from("direct:dynamic")
    .setBody(constant("This is great news for the company!"))
    .setHeader(WatsonLanguageConstants.ANALYZE_SENTIMENT, constant(true))
    .setHeader(WatsonLanguageConstants.ANALYZE_EMOTION, constant(true))
    .setHeader(WatsonLanguageConstants.ANALYZE_KEYWORDS, constant(false))
    .to("ibm-watson-language:default?apiKey=RAW(yourApiKey)&operation=analyzeText");

- from:
    uri: direct:dynamic
    steps:
      - setBody:
          constant: "This is great news for the company!"
      - setHeader:
          name: CamelIBMWatsonLanguageAnalyzeSentiment
          constant: true
      - setHeader:
          name: CamelIBMWatsonLanguageAnalyzeEmotion
          constant: true
      - setHeader:
          name: CamelIBMWatsonLanguageAnalyzeKeywords
          constant: false
      - to:
          uri: ibm-watson-language:default
          parameters:
            apiKey: RAW(yourApiKey)
            operation: analyzeText

from("direct:regional")
    .to("ibm-watson-language:default?apiKey=RAW(yourApiKey)&serviceUrl=https://api.us-south.natural-language-understanding.watson.cloud.ibm.com&operation=analyzeText");

- from:
    uri: direct:regional
    steps:
      - to:
          uri: ibm-watson-language:default
          parameters:
            apiKey: RAW(yourApiKey)
            serviceUrl: "https://api.us-south.natural-language-understanding.watson.cloud.ibm.com"
            operation: analyzeText