Java 开发工具包快速入门

云眼About 14 min

Java 开发工具包快速入门

欢迎阅读云眼灰度实验 Java SDK 的快速入门指南。

按照本指南中的步骤创建灰度标帜、推出标帜传递,并使用简单的命令行应用程序运行 A/B 测试。

第一部分:创建示例应用

1. 获取免费帐户

需要一个 云眼 帐户才能遵循本指南。如果没有帐户,可以注册一个免费帐户open in new window。如果已有帐户,请导航到启用了标帜的项目。

2. 获取开发工具包密钥

要在云眼项目中查找开发工具包密钥,请执行以下操作:

  1. 转到“设置”>“主环境”。
  2. 复制并保存主环境的 SDK 密钥

📘 注意

每个环境都有自己的开发工具包密钥。

点击图片放大
sdk_key.png

3. 复制示例代码

要试用 SDK,请执行以下操作:

  1. 在 IntelliJ 中,创建一个名为 的新 gradle java 项目。eyeofcloud-java-quickstart
  2. 安装云眼灰度实验 Java SDK。
  3. 在build.gradle依赖项中,添加并替换VERSION以替换通过MavenCentral提供的最新SDK变体:

包管理控制台

repositories {
    mavenCentral()
    jcenter()
}

dependencies {
    compile 'com.eyeofcloud.ab:core-api:{VERSION}'
    compile 'com.eyeofcloud.ab:core-httpclient-impl:{VERSION}'
    // The SDK integrates with multiple JSON parsers, here we use
    // Jackson.
    compile 'com.fasterxml.jackson.core:jackson-core:2.7.1'
    compile 'com.fasterxml.jackson.core:jackson-annotations:2.7.1'
    compile 'com.fasterxml.jackson.core:jackson-databind:2.7.1'
}

Java SDK通过MavenCentral的MavenCentralopen in new window分发。完整的源代码托管在GitHubopen in new window上。

  1. 为控制台应用创建_程序.java_文件。
  2. 将以下代码示例复制到控制台应用的 Program.java 文件中。
  3. 将<Your_SDK_Key>替换为在上一步中找到的 SDK 密钥。

Java

import com.eyeofcloud.ab.EyeofcloudFactory;
import com.eyeofcloud.ab.config.parser.JsonParseException;
import com.eyeofcloud.ab.Eyeofcloud;
import com.eyeofcloud.ab.EyeofcloudUserContext;
import com.eyeofcloud.ab.eyeofclouddecision.EyeofcloudDecision;

import java.util.*;

public class Program {

    public static void main(String[] arguments) {
        // this Eyeofcloud initialization is synchronous. for other methods see the Java SDK reference
        Eyeofcloud eyeofcloudClient = EyeofcloudFactory.newDefaultInstance("YOUR_SDK_KEY");
        if (eyeofcloudClient.isValid()) {
            /* --------------------------------
                * to get rapid demo results, generate random users. Each user always sees the same variation unless you reconfigure the flag rule.
                * --------------------------------
                */
            Random rnd = new Random();

            boolean hasOnFlags = false;

            for (int i = 0; i < 10; i++) {
                String userId = (rnd.nextInt(9999 - 1000) + 1000) + "";
            /* --------------------------------
                Create hardcoded user & bucket user into a flag variation
                --------------------------------
            */
                EyeofcloudUserContext user = eyeofcloudClient.createUserContext(userId);
                // "product_sort" corresponds to a flag key in your Eyeofcloud project
                EyeofcloudDecision decision = user.decide("product_sort");
                // did decision fail with a critical error?
                if (decision.getVariationKey() == null) {
                    System.out.println("\n\ndecision error: " + decision.getReasons());
                }
                // get a dynamic configuration variable
                // "sort_method" corresponds to a variable key in your Eyeofcloud project
                String sortMethod = null;
                try {
                    sortMethod = decision.getVariables().getValue("sort_method", String.class);
                } catch (JsonParseException e) {
                    e.printStackTrace();
                }

                if (decision.getEnabled()) {
                    // Keep count how many visitors had the flag enabled
                    hasOnFlags = true;
                }
                /* --------------------------------
                    Mock what the users sees with print statements (in production, use flag variables to implement feature configuration)
                    --------------------------------
                */
                // always returns false until you enable a flag rule in your Eyeofcloud project

                System.out.println("\n\nFlag " + decision.getEnabled()? "on": "off" + ". User number " + user.getUserId() + " saw flag variation: " + decision.getVariationKey() + " and got products sorted by: " + sortMethod + " config variable as part of flag rule: " + decision.getRuleKey());

            }

            if (!hasOnFlags) {
                System.out.println("\n\nFlag was off for everyone. Some reasons could include:" +
                        "\n1. Your sample size of visitors was too small. Rerun, or increase the iterations in the FOR loop" +
                        "\n2. By default you have 2 keys for 2 project environments (dev/prod). Verify in Settings>Environments that you used the right key for the environment where your flag is toggled to ON." +
                        "\n\nCheck your key at  https://app.eyeofcloud.com/v2/projects/" + eyeofcloudClient.getProjectConfig().getProjectId() + "settings/implementation");
            }
        } else {
            System.out.println("Eyeofcloud client invalid. Verify in Settings>Environments that you used the primary environment's SDK key");
        }
        // close before exit to flush out queued events
        eyeofcloudClient.close();
    }
}

📘 注意

暂时不要运行应用程序,因为仍然需要在 云眼 应用程序中设置标帜。

第二部分:运行应用

完成第一部分后,应用将不执行任何操作。需要在 云眼 应用程序中创建标帜和标帜规则才能启用该应用程序。

1. 创建灰度标帜

通过灰度标帜,可以控制在应用中看到新功能代码的用户。对于本快速入门,假设你正在推出一个重新设计的排序功能来显示产品。

在 云眼 中创建一个名为 product_sort 的标帜,并为其提供一个名为 sort_method 的变量:

  1. 转到标帜>创建标帜
  2. 将标帜键命名为_product_sort_,然后单击**“创建标帜**”,该标帜对应于示例应用中的标帜键。
  3. 转到默认变量,然后单击新建 (+)。
  4. 将变量类型设置为字符串
  5. 将变量命名_为 sort_method_,该名称对应于示例应用中的变量键。
  6. 将变量默认值设置为_字母顺序_,表示旧的排序方法。
创建变量
variable_sort_method.png
  1. 单击右下角的保存以保存变量。
  2. 转到变体**,**然后点击默认的“开启”变体。变体是变量值集合的包装器。
  3. sort_method变量值设置为 popular_first,表示新的排序方法。
创建变体
variation_popular.png
  1. 单击保存

2. 创建标帜传递规则

示例应用仍不执行任何操作,因为需要在应用中创建并启用标帜规则。

为_product_sort_标帜的“开启”变体制定有针对性的投放规则。有针对性的交付允许逐步向用户发布灰度标帜,但可以灵活地在遇到错误时将其回滚。

  1. 验证您是否在主环境中(因为您使用的是主环境 SDK 密钥):
验证制定规则的环境
verify_env.png
  1. 点击添加规则,然后选择_定向投放_。
  2. 将流量滑块设置为 50%。这会将标帜传递给在此环境中触发标帜的每个人的 50%。可以随时将product_sort标帜推出或回滚到流量的百分比。
  3. 从“传递”下拉列表中,选择“打开”。
  4. 单击保存
配置目标投放
Screenshot docs.png
  1. 为标帜规则启用标帜:
enable_flag.png

3. 运行示例应用

在 Intellij 中,针对之前创建的示例控制台应用单击“运行”。输出类似于以下内容:

文本

Flag on. User number 6998 saw flag variation: on and got products sorted by: popular_first config variable as part of flag rule: targeted_delivery
    
Flag on. User number 1177 saw flag variation: on and got products sorted by: popular_first config variable as part of flag rule: targeted_delivery

Flag on. User number 9714 saw flag variation: on and got products sorted by: popular_first config variable as part of flag rule: targeted_delivery

Flag on. User number 4140 saw flag variation: on and got products sorted by: popular_first config variable as part of flag rule: targeted_delivery

Flag on. User number 4994 saw flag variation: on and got products sorted by: popular_first config variable as part of flag rule: targeted_delivery

Flag off. User number 8700 saw flag variation: off and got products sorted by: alphabetical config variable as part of flag rule: default-rollout-208-19963693913

Flag off. User number 9912 saw flag variation: off and got products sorted by: alphabetical config variable as part of flag rule: default-rollout-208-19963693913

Flag on. User number 6560 saw flag variation: on and got products sorted by: popular_first config variable as part of flag rule: targeted_delivery

Flag on. User number 9252 saw flag variation: on and got products sorted by: popular_first config variable as part of flag rule: targeted_delivery

Flag on. User number 6582 saw flag variation: on and got products sorted by: popular_first config variable as part of flag rule: targeted_delivery

📘 注意:

在“开启”变体中,您不会获得恰好 50% 的用户流量,因为您正在与如此少量的访问者合作。此外,获得“关闭”标帜的用户没有进入您设置的 50% 流量,因此他们跌落到默认的“关闭”规则(前面的打印语句中的_默认推出_):

4. 工作原理

到目前为止,您有:

  • 在 云眼 应用程序中创建了标帜、标帜变量和标帜变体(变量的包装器)
  • 使用 Decide 方法在应用中实现了标帜

工作原理:决定向用户显示标帜

SDK 的 Decision(决定)方法确定是显示还是隐藏特定用户的灰度标帜。

📘 注意

可以将此方法重用于不同的标帜规则,无论是向更多流量投放,还是运行实验以仅向部分用户展示不同的排序方法。

了解哪种排序方法最能提高销售额后,请将产品排序标帜推广到所有流量,并将该方法设置为最佳值。

在示例应用中:

Java

EyeofcloudUserContext user = eyeofcloudClient.createUserContext(userId);
// "product_sort" corresponds to the flag key you create in the Eyeofcloud app
EyeofcloudDecision decision = user.decide("product_sort");

📘 注意

(可选)在创建用户时包括属性(未显示在示例应用中),以便可以定位特定受众。例如:

Java

Map attributes = new HashMap<String, Object>();
attributes.put("logged_in", true);
EyeofcloudUserContext user = eyeofcloudClient.createUserContext("user123", attributes);

工作原理:配置标帜变体

可以使用标帜变量动态配置标帜变体。在示例应用中:

Java

// always returns false until you enable a flag rule in the Eyeofcloud app
if (decision.getEnabled()) {
    // "sort_method" corresponds to variable key you define in Eyeofcloud app
    Object sortMethod = decision.getVariables().toMap().get("sort_method");
    System.out.println("sort_method: "+ sortMethod.toString());
}

对于product_sort标帜,可以配置具有不同sort_method值的变体,按热门产品、相关产品、推广产品等进行排序。可以随时在 云眼 应用程序中为排序方法设置不同的值。

第三部分:运行 A/B 测试

本教程只是指导您完成有针对性的交付,因为它是最简单的标帜规则。但是,在推出灰度标帜传递之前,你通常需要对用户_对_灰度标帜变体的反应进行 A/B 测试。

下表显示了标帜传递和 A/B 测试之间的差异:

目标投放规则

A/B 测试规则

可以将标帜推广到一定比例的一般用户群(或特定受众),或者在遇到错误时回滚。

在投资交付之前,通过 A/B 测试标帜进行实验,这样您就知道要构建什么。跟踪用户在标帜变体中的行为,然后使用 云眼 统计引擎解释实验结果。

现在,A / B测试product_sort标帜的“on”变体。

1. 添加事件跟踪

需要将跟踪事件方法添加到示例应用 ,以便可以模拟用户事件,然后查看指标。

  1. 删除旧的示例代码,并粘贴以下代码。
  2. 请记得再次更换开发工具包密钥
  3. 不要运行应用程序,因为仍然需要在 云眼 应用程序中设置 A/B 测试。

Java

import com.fasterxml.jackson.databind.ObjectMapper;
import com.eyeofcloud.ab.EyeofcloudFactory;
import com.eyeofcloud.ab.Eyeofcloud;
import com.eyeofcloud.ab.EyeofcloudUserContext;
import com.eyeofcloud.ab.notification.DecisionNotification;
import com.eyeofcloud.ab.eyeofclouddecision.EyeofcloudDecision;

import java.util.*;


public class Program {

    public static void main(String[] arguments) {
        // For more instantiation configuration, see the Java SDK reference
        Eyeofcloud eyeofcloudClient = EyeofcloudFactory.newDefaultInstance("YOUR_SDK_KEY");
        if (!eyeofcloudClient.isValid()) {
            System.out.println("Eyeofcloud client invalid. Verify in Settings>Environments that you used the primary environment's SDK key");
            return;
        }
        /* --------------------------------
            OPTIONAL: Add a notification listener so you can integrate with third-party analytics platforms
            --------------------------------
        */
        /*
        int notificationId = eyeofcloudClient.notificationCenter.addNotificationHandler(DecisionNotification.class, decisionNotification -> {
            if ("flag".equals(decisionNotification.getType())) {
                String serializedJsonInfo = new ObjectMapper().writeValueAsString(decisionNotification.getDecisionInfo());
                System.out.println("Feature flag access related information: " + serializedJsonInfo);
                // Send data to analytics provider here
            }
        });
            */
        /* --------------------------------
            * to get rapid demo experiment results, generate random users. Each user is deterministically hashed into a variation.
            * --------------------------------
            */
        boolean hasOnFlags = false;
        Random rnd = new Random();
        for (int i = 0; i < 5; i++) {
            String userId = (rnd.nextInt(9999 - 1000) + 1000) + "";
        /* --------------------------------
            Bucket user into a flag variation and mock experiment results
            --------------------------------
        */
            EyeofcloudUserContext user = eyeofcloudClient.createUserContext(userId);
            EyeofcloudDecision decision = user.decide("product_sort");
            // did decision fail with a critical error?
            if (decision.getVariationKey() == null) {
                System.out.println("\n\ndecision error: " + decision.getReasons());
            }
            Object sortMethod = decision.getVariables().toMap().get("sort_method");
            if (decision.getEnabled()) {
                hasOnFlags = true;
            } 
            System.out.println("\n\nFlag " + decision.getEnabled()? "on": "off" + ". User number " + user.getUserId() + " saw flag variation: " + decision.getVariationKey() + " and got products sorted by: " + sortMethod + " config variable as part of flag rule: " + decision.getRuleKey());

            MockPurchase(user);
        }
        if (!hasOnFlags) {
            System.out.println("\n\nFlag was off for everyone. Some reasons could include:" +
                    "\n1. Your sample size of visitors was too small. Rerun, or increase the iterations in the FOR loop" +
                    "\n2. By default you have 2 keys for 2 project environments (dev/prod). Verify in Settings>Environments that you used the right key for the environment where your flag is toggled to ON." +
                    "\n\nCheck your key at  https://app.eyeofcloud.com/v2/projects/" + eyeofcloudClient.getProjectConfig().getProjectId() + "settings/implementation");
        } else {
            System.out.println("\n\nDone with your mocked A/B test.");
            System.out.println("Check out your report at  https://app.eyeofcloud.com/v2/projects/" + eyeofcloudClient.getProjectConfig().getProjectId() + "/reports");
            System.out.println("Be sure to select the environment that corresponds to your SDK key");
        }
        // close before exit to flush out queued events
        eyeofcloudClient.close();
    }

    // mock tracking a user event so you can see some experiment reports
    static void MockPurchase(EyeofcloudUserContext user) {
        System.out.println("Pretend that user made a purchase? y/n ");
        Scanner scan = new Scanner(System.in);
        String answer = scan.nextLine();
        if (answer.toLowerCase().equals("y")) {
            // track a user event you defined in the Eyeofcloud app
            user.trackEvent("purchase");
            System.out.println("Eyeofcloud recorded a purchase in experiment results for user " + user.getUserId());
        } else {
            System.out.println("Eyeofcloud didn't record a purchase in experiment results for user " + user.getUserId());
        }
    }
}


2. 暂停免费帐户中的其他规则

如果你有免费帐户,则需要在保存 A/B 测试之前暂停之前在本快速入门中创建的目标交付:

  1. 选择包含您计划暂停的目标投放的特定标帜
选择要暂停的标帜
pause-flag-prod.png
  1. 选择要暂停的环境目标投放
  2. 单击右上角的禁用规则按钮。
暂停标帜
pause-flag-prod.png

3. 创建 A/B 测试

要在云眼项目中创建和启动实验,请执行以下操作:

  1. 转到旗帜的规则。
  2. 单击“> A/B 测试添加规则”。
创建新的 A/B 测试
add-a-b-test.png

4. 添加事件

在实验中,将跟踪用户的相关操作,以衡量用户对灰度标帜变体的反应。需要定义要跟踪的操作:

  1. 单击**“指标**”字段。
  2. 点击创建新活动
点击图片放大
create_new_event.png
  1. 对于事件密钥,输入_购买_并单击创建事件。(您想知道新的排序标帜是否帮助客户确定要购买什么,因此请跟踪用户在新订单中显示产品后是否进行了购买。
2021-03-24 12_27_01-product_sort_ Flags_ Rules_ Development_ Experiment - 云眼.png
  1. 保留默认值(衡量_唯一身份转化_次数_的增加_)。
点击图片放大
2020-11-19_10_13_31-Window.png
  1. 点击添加指标
  2. 将默认的“关闭”变体保留为控件。选择您在上一步中配置的“开”变体:
save_ab_test.png
  1. 单击保存

📘 注意

您不限于两种变体;还可以创建具有多个变体的 A/B 测试。例如:

仔细检查标帜以确保它处于开启状态,以便实验可以运行:

点击图片放大
flag_on.png

5. 运行 A/B 测试

单击“在 IntelliJ 中运行”并回答命令行提示。输出类似于以下内容:

文本

Flag on. User number 1496 saw flag variation: on and got products sorted by: popular_first config variable as part of flag rule: experiment_1
Pretend that user made a purchase? y/n
n
Eyeofcloud didn't record a purchase in experiment results for user 1496


Flag off. User number 1194 saw flag variation: off and got products sorted by: alphabetical config variable as part of flag rule: experiment_1
Pretend that user made a purchase? y/n
y
Eyeofcloud recorded a purchase in experiment results for user 1194


Flag off. User number 5815 saw flag variation: off and got products sorted by: alphabetical config variable as part of flag rule: experiment_1
Pretend that user made a purchase? y/n
y
Eyeofcloud recorded a purchase in experiment results for user 5815


Flag on. User number 1248 saw flag variation: on and got products sorted by: popular_first config variable as part of flag rule: experiment_1
Pretend that user made a purchase? y/n
y
Eyeofcloud recorded a purchase in experiment results for user 1248


Flag off. User number 9580 saw flag variation: off and got products sorted by: alphabetical config variable as part of flag rule: experiment_1
Pretend that user made a purchase? y/n
n
Eyeofcloud didn't record a purchase in experiment results for user 9580


Done with your mocked A/B test.
Check out your report at  https://app.eyeofcloud.com/v2/projects/19957465438/reports
Be sure to select the environment that corresponds to your SDK key

6. 查看 A/B 测试结果

转到“报告”标签以查看实验结果。

choose_report.png

结果如下所示:

experiment overview.png

📘 注意

  • 在拥有更多用户之前,开发者可能不会看到为标帜变体配置的确切用户流量百分比。
  • 开发者可能不会立即看到用户流量。刷新浏览器以刷新流量,
  • 在有大量访问者(大约 100,000 人)之前,实验结果不会告诉您获胜变体。

7. 工作原理

对于 A/B 测试,需要一种方法来告知 云眼 用户何时在应用中进行了购买,并将应用代码中的此事件映射到您在 云眼 中创建的特定事件。幸运的是,SDK有一种方法。使用 Track Event 方法并传入所创建事件的密钥 ()。在示例应用中:purchase

Java

// Track how users behave when they see a flag variation
// e.g., after your app processed a purchase, let Eyeofcloud know what happened:
user.trackEvent("purchased");

📘 注意

(可选)向事件添加标签以丰富事件(未显示在示例应用中)。还可以使用收入等备用标签键来跟踪定量结果。例如:

Java

Map tags = new HashMap<String, Object>();
tags.put("category", "shoes");
tags.put("revenue", 6432);

 user.trackEvent("purchase", tags);

目前仅实验规则支持事件跟踪,不支持投放规则。未来变体将支持跟踪交货。

无论哪种方式,在实现标帜时都应包括事件跟踪,因为它可以帮助与第三方分析平台集成,并且在创建 A/B 测试时提供灵活性。

结论

祝贺!您已成功设置并启动了第一个云眼灰度实验。虽然此示例侧重于优化销售,但 云眼 的实验平台可以支持一组开放式的实验用例。

请参阅我们完整的 Java SDK 文档,了解使用实验优化软件的更多方法。


Last update:
Contributors: “zhangweixue”,zhangweixue