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我从 IBM Watson 的音调分析器 API 接收到一些 JSON，格式如下所示，用于一段文本。我想做的是在一个对象中捕获 JSON，该对象具有主色调的属性和值，例如。anger:.218 disgust:2.20 etc. 用于分析的每一段文本。当我分析更多文本时，我想将它们添加到这些对象的数组中。

在这个阶段，我只想使用 SwiftyJSON 对 api 做一些事情，但对语法感到困惑：

以下代码仅打印为 nil：

 let anger = JSON(value)["results"][0]["anger"].array?.map { json in
                    json["anger"].stringValue
                                    }
                print (anger)

希望获得有关如何实际抓住音调及其价值的指导……在此先感谢您的任何建议。

JSON 看起来像这样：

 {
        "document_tone" =     {
            "tone_categories" =         (
                            {
                    "category_id" = "emotion_tone";
                    "category_name" = "Emotion Tone";
                    tones =                 (
                                            {
                            score = "0.218727";
                            "tone_id" = anger;
                            "tone_name" = Anger;
                        },
                                            {
                            score = "0.210102";
                            "tone_id" = disgust;
                            "tone_name" = Disgust;
                        },
                                            {
                            score = "0.060026";
                            "tone_id" = fear;
                            "tone_name" = Fear;
                        },
                                            {
                            score = "0.076444";
                            "tone_id" = joy;
                            "tone_name" = Joy;
                        },
                                            {
                            score = "0.176849";
                            "tone_id" = sadness;
                            "tone_name" = Sadness;
                        }
                    );
                },
                            {
                    "category_id" = "language_tone";
                    "category_name" = "Language Tone";
                    tones =                 (
                                            {
                            score = 0;
                            "tone_id" = analytical;
                            "tone_name" = Analytical;
                        },
                                            {
                            score = 0;
                            "tone_id" = confident;
                            "tone_name" = Confident;
                        },
                                            {
                            score = 0;
                            "tone_id" = tentative;
                            "tone_name" = Tentative;
                        }
                    );
                },
                            {
                    "category_id" = "social_tone";
                    "category_name" = "Social Tone";
                    tones =                 (
                                            {
                            score = "0.02278";
                            "tone_id" = "openness_big5";
                            "tone_name" = Openness;
                        },
                                            {
                            score = "0.340597";
                            "tone_id" = "conscientiousness_big5";
                            "tone_name" = Conscientiousness;
                        },
                                            {
                            score = "0.541852";
                            "tone_id" = "extraversion_big5";
                            "tone_name" = Extraversion;
                        },
                                            {
                            score = "0.545246";
                            "tone_id" = "agreeableness_big5";
                            "tone_name" = Agreeableness;
                        },
                                            {
                            score = "0.743194";
                            "tone_id" = "emotional_range_big5";
                            "tone_name" = "Emotional Range";
                        }
                    );
                }
            );
        };
    }
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1 回答 1

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您可以使用Codableswift 4 和URLSession.

这是您问题的纯粹快速解决方案。结构属性映射到您的 json 树，您可能需要更改结构以匹配您收到的 json。您在上面发布的 json 格式无效，否则我可以正确映射它。

struct Tone: Codable {
    let score: Double
    let tone_id: String
    let tone_name: String
}

struct Category: Codable {
    let category_id: String
    let category_name: String
    let tones: [Tone]
}

struct DocumentTone: Codable {
    let toneCategories: [Category]
}

final class ToneService {
    static func fetchTone(toneUrl: URL, _ completion: @escaping([DocumentTone]) -> Void) {
        URLSession.shared.dataTask(with: toneUrl) { (data, response, error) in
            guard let data = data else { return }
            do {
                let decoder = JSONDecoder()
                // If your json returns a single object, use DocumentTone.self instead of [DocumentTone].self, as well change the completion
                let tone = try decoder.decode([DocumentTone].self, from: data)
                completion(tone)
            } catch let error {
                print(error.localizedDescription)
            }
        }.resume()
    }
}
于 2018-06-06T21:18:10.600 回答