Compare commits
26 Commits
138ee140e1
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| Author | SHA1 | Date | |
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| df6f1eb548 | |||
| 73e6ff3c54 | |||
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| e470a87372 | |||
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c5916703cd | ||
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807ddbe5cb | ||
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13de694e37 | ||
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1962dd586c |
@@ -1,11 +1,11 @@
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||||
CREATE TABLE `service_ai_feedback`
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(
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||||
`id` bigint NOT NULL,
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||||
`source` longtext NOT NULL,
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||||
`analysis_short` longtext,
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||||
`analysis` longtext,
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||||
`pictures` longtext,
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||||
`status` varchar(50) NOT NULL DEFAULT 'ANALYSIS_PROCESSING',
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`created_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
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`modified_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
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`id` bigint NOT NULL,
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||||
`source` longtext NOT NULL,
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||||
`conclusion` longtext,
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`analysis` longtext,
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`pictures` longtext,
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`status` varchar(50) NOT NULL DEFAULT 'ANALYSIS_PROCESSING',
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`created_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
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`modified_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
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) DEFAULT CHARSET = utf8mb4;
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@@ -3,6 +3,7 @@ CREATE TABLE `service_ai_knowledge`
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`id` bigint NOT NULL,
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`vector_source_id` varchar(100) NOT NULL,
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`name` varchar(100) NOT NULL,
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`description` longtext NOT NULL,
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`strategy` varchar(10) NOT NULL,
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`created_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
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`modified_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
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@@ -29,12 +29,18 @@
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||||
<eclipse-collections.version>11.1.0</eclipse-collections.version>
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||||
<curator.version>5.1.0</curator.version>
|
||||
<hutool.version>5.8.27</hutool.version>
|
||||
<mapstruct.version>1.6.3</mapstruct.version>
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||||
</properties>
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||||
|
||||
<dependencies>
|
||||
<dependency>
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||||
<groupId>org.mapstruct</groupId>
|
||||
<artifactId>mapstruct</artifactId>
|
||||
</dependency>
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||||
<dependency>
|
||||
<groupId>org.projectlombok</groupId>
|
||||
<artifactId>lombok</artifactId>
|
||||
<optional>true</optional>
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||||
</dependency>
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||||
</dependencies>
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||||
|
||||
@@ -154,12 +160,22 @@
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<artifactId>solon-ai-dialect-openai</artifactId>
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||||
<version>${solon-ai.version}</version>
|
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</dependency>
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||||
<dependency>
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||||
<groupId>org.mapstruct</groupId>
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||||
<artifactId>mapstruct</artifactId>
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||||
<version>${mapstruct.version}</version>
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||||
</dependency>
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||||
</dependencies>
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||||
</dependencyManagement>
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||||
|
||||
<build>
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||||
<pluginManagement>
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||||
<plugins>
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||||
<plugin>
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||||
<groupId>org.apache.maven.plugins</groupId>
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||||
<artifactId>maven-compiler-plugin</artifactId>
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||||
<version>3.14.0</version>
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||||
</plugin>
|
||||
<plugin>
|
||||
<groupId>org.apache.maven.plugins</groupId>
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||||
<artifactId>maven-source-plugin</artifactId>
|
||||
@@ -168,7 +184,7 @@
|
||||
<plugin>
|
||||
<groupId>org.apache.maven.plugins</groupId>
|
||||
<artifactId>maven-shade-plugin</artifactId>
|
||||
<version>3.3.0</version>
|
||||
<version>3.6.0</version>
|
||||
</plugin>
|
||||
<plugin>
|
||||
<groupId>org.springframework.boot</groupId>
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||||
|
||||
@@ -70,6 +70,32 @@
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||||
|
||||
<build>
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||||
<plugins>
|
||||
<plugin>
|
||||
<groupId>org.apache.maven.plugins</groupId>
|
||||
<artifactId>maven-compiler-plugin</artifactId>
|
||||
<configuration>
|
||||
<annotationProcessorPaths>
|
||||
<path>
|
||||
<groupId>org.mapstruct</groupId>
|
||||
<artifactId>mapstruct-processor</artifactId>
|
||||
<version>${mapstruct.version}</version>
|
||||
</path>
|
||||
<path>
|
||||
<groupId>org.projectlombok</groupId>
|
||||
<artifactId>lombok</artifactId>
|
||||
</path>
|
||||
<path>
|
||||
<groupId>org.projectlombok</groupId>
|
||||
<artifactId>lombok-mapstruct-binding</artifactId>
|
||||
<version>0.2.0</version>
|
||||
</path>
|
||||
</annotationProcessorPaths>
|
||||
<compilerArgs>
|
||||
<arg>-Amapstruct.defaultComponentModel=spring</arg>
|
||||
<arg>-Amapstruct.defaultInjectionStrategy=constructor</arg>
|
||||
</compilerArgs>
|
||||
</configuration>
|
||||
</plugin>
|
||||
<plugin>
|
||||
<groupId>org.springframework.boot</groupId>
|
||||
<artifactId>spring-boot-maven-plugin</artifactId>
|
||||
|
||||
@@ -34,6 +34,10 @@ public class WebApplication implements ApplicationRunner, ApplicationContextAwar
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||||
return context.getBean(clazz);
|
||||
}
|
||||
|
||||
public static <T> T getBean(String name, Class<T> clazz) {
|
||||
return context.getBean(name, clazz);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void run(ApplicationArguments args) {
|
||||
}
|
||||
|
||||
@@ -11,7 +11,7 @@ import org.springframework.context.annotation.Configuration;
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||||
@Data
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||||
@Configuration
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||||
@ConfigurationProperties(prefix = "file-store")
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||||
public class FileStoreConfiguration {
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||||
public class FileStoreProperties {
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||||
private String downloadPrefix;
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||||
private String uploadPath;
|
||||
}
|
||||
@@ -63,7 +63,7 @@ public class LlmConfiguration {
|
||||
.openAiApi(apiBuilder.build())
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||||
.defaultOptions(
|
||||
OpenAiChatOptions.builder()
|
||||
.model(llmProperties.getChat().getModel())
|
||||
.model(llmProperties.getVisual().getModel())
|
||||
.build()
|
||||
)
|
||||
.build()
|
||||
|
||||
@@ -7,7 +7,7 @@ import cn.hutool.core.util.URLUtil;
|
||||
import cn.hutool.crypto.SecureUtil;
|
||||
import com.fasterxml.jackson.annotation.JsonProperty;
|
||||
import com.lanyuanxiaoyao.service.ai.core.entity.amis.AmisResponse;
|
||||
import com.lanyuanxiaoyao.service.ai.web.configuration.FileStoreConfiguration;
|
||||
import com.lanyuanxiaoyao.service.ai.web.configuration.FileStoreProperties;
|
||||
import com.lanyuanxiaoyao.service.ai.web.entity.vo.DataFileVO;
|
||||
import com.lanyuanxiaoyao.service.ai.web.service.DataFileService;
|
||||
import jakarta.servlet.http.HttpServletResponse;
|
||||
@@ -41,17 +41,17 @@ import org.springframework.web.multipart.MultipartFile;
|
||||
@RestController
|
||||
@RequestMapping("/upload")
|
||||
public class DataFileController {
|
||||
private final FileStoreConfiguration fileStoreConfiguration;
|
||||
private final FileStoreProperties fileStoreProperties;
|
||||
private final DataFileService dataFileService;
|
||||
private final String uploadFolderPath;
|
||||
private final String cacheFolderPath;
|
||||
private final String sliceFolderPath;
|
||||
|
||||
public DataFileController(FileStoreConfiguration fileStoreConfiguration, DataFileService dataFileService) {
|
||||
this.fileStoreConfiguration = fileStoreConfiguration;
|
||||
public DataFileController(FileStoreProperties fileStoreProperties, DataFileService dataFileService) {
|
||||
this.fileStoreProperties = fileStoreProperties;
|
||||
this.dataFileService = dataFileService;
|
||||
|
||||
this.uploadFolderPath = fileStoreConfiguration.getUploadPath();
|
||||
this.uploadFolderPath = fileStoreProperties.getUploadPath();
|
||||
this.cacheFolderPath = StrUtil.format("{}/cache", uploadFolderPath);
|
||||
this.sliceFolderPath = StrUtil.format("{}/slice", uploadFolderPath);
|
||||
}
|
||||
@@ -60,7 +60,7 @@ public class DataFileController {
|
||||
public AmisResponse<FinishResponse> upload(@RequestParam("file") MultipartFile file) throws IOException {
|
||||
String filename = file.getOriginalFilename();
|
||||
Long id = dataFileService.initialDataFile(filename);
|
||||
String url = StrUtil.format("{}/upload/download/{}", fileStoreConfiguration.getDownloadPrefix(), id);
|
||||
String url = StrUtil.format("{}/upload/download/{}", fileStoreProperties.getDownloadPrefix(), id);
|
||||
byte[] bytes = file.getBytes();
|
||||
String originMd5 = SecureUtil.md5(new ByteArrayInputStream(bytes));
|
||||
File targetFile = new File(StrUtil.format("{}/{}", uploadFolderPath, originMd5));
|
||||
@@ -80,7 +80,7 @@ public class DataFileController {
|
||||
}
|
||||
|
||||
@GetMapping("/download/{id}")
|
||||
public void download(@PathVariable Long id, HttpServletResponse response) throws IOException {
|
||||
public void download(@PathVariable("id") Long id, HttpServletResponse response) throws IOException {
|
||||
DataFileVO dataFile = dataFileService.downloadFile(id);
|
||||
File targetFile = new File(dataFile.getPath());
|
||||
response.setHeader("Content-Type", dataFile.getType());
|
||||
@@ -157,7 +157,7 @@ public class DataFileController {
|
||||
request.uploadId,
|
||||
request.filename,
|
||||
request.uploadId.toString(),
|
||||
StrUtil.format("{}/upload/download/{}", fileStoreConfiguration.getDownloadPrefix(), request.uploadId)
|
||||
StrUtil.format("{}/upload/download/{}", fileStoreProperties.getDownloadPrefix(), request.uploadId)
|
||||
));
|
||||
} else {
|
||||
throw new RuntimeException("合并文件失败");
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
package com.lanyuanxiaoyao.service.ai.web.controller.caht;
|
||||
package com.lanyuanxiaoyao.service.ai.web.controller.chat;
|
||||
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
import com.lanyuanxiaoyao.service.ai.web.configuration.Prompts;
|
||||
@@ -6,10 +6,13 @@ import com.lanyuanxiaoyao.service.ai.web.entity.vo.MessageVO;
|
||||
import com.lanyuanxiaoyao.service.ai.web.tools.ChartTool;
|
||||
import com.lanyuanxiaoyao.service.ai.web.tools.TableTool;
|
||||
import com.lanyuanxiaoyao.service.ai.web.tools.YarnTool;
|
||||
import com.lanyuanxiaoyao.service.configuration.ExecutorProvider;
|
||||
import jakarta.servlet.http.HttpServletResponse;
|
||||
import java.io.IOException;
|
||||
import java.time.LocalDateTime;
|
||||
import java.time.format.DateTimeFormatter;
|
||||
import java.util.Optional;
|
||||
import java.util.concurrent.TimeoutException;
|
||||
import org.eclipse.collections.api.list.ImmutableList;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
@@ -98,24 +101,34 @@ public class ChatController {
|
||||
|
||||
@PostMapping("async")
|
||||
public SseEmitter chatAsync(
|
||||
@RequestBody ImmutableList<MessageVO> messages
|
||||
@RequestBody ImmutableList<MessageVO> messages,
|
||||
HttpServletResponse httpResponse
|
||||
) {
|
||||
SseEmitter emitter = new SseEmitter();
|
||||
buildRequest(messages)
|
||||
.stream()
|
||||
.chatResponse()
|
||||
.subscribe(
|
||||
response -> {
|
||||
try {
|
||||
emitter.send(toMessage(response));
|
||||
} catch (IOException e) {
|
||||
emitter.completeWithError(e);
|
||||
throw new RuntimeException(e);
|
||||
}
|
||||
},
|
||||
emitter::completeWithError,
|
||||
emitter::complete
|
||||
);
|
||||
httpResponse.setHeader("X-Accel-Buffering", "no");
|
||||
|
||||
SseEmitter emitter = new SseEmitter(20 * 60 * 1000L);
|
||||
ExecutorProvider.EXECUTORS.submit(() -> {
|
||||
buildRequest(messages)
|
||||
.stream()
|
||||
.chatResponse()
|
||||
.subscribe(
|
||||
response -> {
|
||||
try {
|
||||
emitter.send(
|
||||
SseEmitter.event()
|
||||
.data(toMessage(response))
|
||||
.reconnectTime(5 * 1000L)
|
||||
.build()
|
||||
);
|
||||
} catch (IOException e) {
|
||||
emitter.completeWithError(e);
|
||||
}
|
||||
},
|
||||
emitter::completeWithError,
|
||||
emitter::complete
|
||||
);
|
||||
});
|
||||
emitter.onTimeout(() -> emitter.completeWithError(new TimeoutException("SseEmitter Timeout")));
|
||||
return emitter;
|
||||
}
|
||||
|
||||
@@ -1,13 +1,19 @@
|
||||
package com.lanyuanxiaoyao.service.ai.web.controller.feedback;
|
||||
|
||||
import cn.hutool.core.util.ObjectUtil;
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
import com.lanyuanxiaoyao.service.ai.core.entity.amis.AmisCrudResponse;
|
||||
import com.lanyuanxiaoyao.service.ai.core.entity.amis.AmisResponse;
|
||||
import com.lanyuanxiaoyao.service.ai.web.configuration.FileStoreProperties;
|
||||
import com.lanyuanxiaoyao.service.ai.web.entity.Feedback;
|
||||
import com.lanyuanxiaoyao.service.ai.web.service.feedback.FeedbackService;
|
||||
import lombok.Data;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.eclipse.collections.api.factory.Lists;
|
||||
import org.eclipse.collections.api.list.ImmutableList;
|
||||
import org.springframework.web.bind.annotation.GetMapping;
|
||||
import org.springframework.web.bind.annotation.PostMapping;
|
||||
import org.springframework.web.bind.annotation.RequestBody;
|
||||
import org.springframework.web.bind.annotation.RequestMapping;
|
||||
import org.springframework.web.bind.annotation.RequestParam;
|
||||
import org.springframework.web.bind.annotation.RestController;
|
||||
@@ -16,27 +22,68 @@ import org.springframework.web.bind.annotation.RestController;
|
||||
@RestController
|
||||
@RequestMapping("feedback")
|
||||
public class FeedbackController {
|
||||
private final FileStoreProperties fileStoreProperties;
|
||||
private final FeedbackService feedbackService;
|
||||
|
||||
public FeedbackController(FeedbackService feedbackService) {
|
||||
public FeedbackController(FileStoreProperties fileStoreProperties, FeedbackService feedbackService) {
|
||||
this.fileStoreProperties = fileStoreProperties;
|
||||
this.feedbackService = feedbackService;
|
||||
}
|
||||
|
||||
@PostMapping("add")
|
||||
public void add(
|
||||
@RequestParam("source") String source,
|
||||
@RequestParam(value = "pictures", required = false) ImmutableList<Long> pictures
|
||||
) {
|
||||
feedbackService.add(source, ObjectUtil.defaultIfNull(pictures, Lists.immutable.empty()));
|
||||
public void add(@RequestBody CreateItem item) {
|
||||
feedbackService.add(item.source, ObjectUtil.defaultIfNull(item.pictures, Lists.immutable.empty()));
|
||||
}
|
||||
|
||||
@GetMapping("list")
|
||||
public AmisResponse<?> list() {
|
||||
return AmisResponse.responseCrudData(feedbackService.list());
|
||||
public AmisCrudResponse list() {
|
||||
return AmisResponse.responseCrudData(feedbackService.list().collect(feedback -> new ListItem(fileStoreProperties, feedback)));
|
||||
}
|
||||
|
||||
@GetMapping("delete")
|
||||
public void delete(@RequestParam("id") Long id) {
|
||||
feedbackService.remove(id);
|
||||
}
|
||||
|
||||
@GetMapping("reanalysis")
|
||||
public void reanalysis(@RequestParam("id") Long id) {
|
||||
feedbackService.reanalysis(id);
|
||||
}
|
||||
|
||||
@PostMapping("conclude")
|
||||
public void conclude(@RequestBody ConcludeItem item) {
|
||||
feedbackService.updateConclusion(item.getId(), item.getConclusion());
|
||||
}
|
||||
|
||||
@Data
|
||||
public static final class CreateItem {
|
||||
private String source;
|
||||
private ImmutableList<Long> pictures;
|
||||
}
|
||||
|
||||
@Data
|
||||
public static final class ConcludeItem {
|
||||
private Long id;
|
||||
private String conclusion;
|
||||
}
|
||||
|
||||
@Data
|
||||
public static final class ListItem {
|
||||
private Long id;
|
||||
private String source;
|
||||
private ImmutableList<String> pictures;
|
||||
private Feedback.Status status;
|
||||
private String analysis;
|
||||
private String conclusion;
|
||||
|
||||
public ListItem(FileStoreProperties fileStoreProperties, Feedback feedback) {
|
||||
this.id = feedback.getId();
|
||||
this.source = feedback.getSource();
|
||||
this.pictures = feedback.getPictureIds()
|
||||
.collect(id -> StrUtil.format("{}/upload/download/{}", fileStoreProperties.getDownloadPrefix(), id));
|
||||
this.status = feedback.getStatus();
|
||||
this.analysis = feedback.getAnalysis();
|
||||
this.conclusion = feedback.getConclusion();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -37,9 +37,18 @@ public class KnowledgeBaseController {
|
||||
@PostMapping("add")
|
||||
public void add(
|
||||
@RequestParam("name") String name,
|
||||
@RequestParam("description") String description,
|
||||
@RequestParam("strategy") String strategy
|
||||
) throws ExecutionException, InterruptedException {
|
||||
knowledgeBaseService.add(name, strategy);
|
||||
knowledgeBaseService.add(name, description, strategy);
|
||||
}
|
||||
|
||||
@PostMapping("update_description")
|
||||
public void updateDescription(
|
||||
@RequestParam("id") Long id,
|
||||
@RequestParam("description") String description
|
||||
) {
|
||||
knowledgeBaseService.updateDescription(id, description);
|
||||
}
|
||||
|
||||
@GetMapping("name")
|
||||
|
||||
@@ -7,9 +7,9 @@ import org.eclipse.collections.api.list.ImmutableList;
|
||||
public class Feedback {
|
||||
private Long id;
|
||||
private String source;
|
||||
private String analysisShort;
|
||||
private ImmutableList<Long> pictureIds;
|
||||
private String analysis;
|
||||
private ImmutableList<String> pictureIds;
|
||||
private String conclusion;
|
||||
private Status status;
|
||||
private Long createdTime;
|
||||
private Long modifiedTime;
|
||||
|
||||
@@ -11,6 +11,7 @@ public class Knowledge {
|
||||
private Long id;
|
||||
private Long vectorSourceId;
|
||||
private String name;
|
||||
private String description;
|
||||
private String strategy;
|
||||
private Long createdTime;
|
||||
private Long modifiedTime;
|
||||
|
||||
@@ -0,0 +1,17 @@
|
||||
package com.lanyuanxiaoyao.service.ai.web.entity.context;
|
||||
|
||||
import com.lanyuanxiaoyao.service.ai.web.entity.Feedback;
|
||||
import java.util.List;
|
||||
import lombok.Data;
|
||||
import org.eclipse.collections.api.factory.Lists;
|
||||
|
||||
/**
|
||||
* @author lanyuanxiaoyao
|
||||
* @version 20250616
|
||||
*/
|
||||
@Data
|
||||
public class FeedbackContext {
|
||||
private Feedback feedback;
|
||||
private String optimizedSource;
|
||||
private List<String> pictureDescriptions = Lists.mutable.empty();
|
||||
}
|
||||
@@ -11,6 +11,7 @@ public class KnowledgeVO {
|
||||
private Long id;
|
||||
private Long vectorSourceId;
|
||||
private String name;
|
||||
private String description;
|
||||
private String strategy;
|
||||
private Long size;
|
||||
private Long points;
|
||||
|
||||
@@ -1,18 +1,24 @@
|
||||
package com.lanyuanxiaoyao.service.ai.web.service.feedback;
|
||||
|
||||
import club.kingon.sql.builder.SqlBuilder;
|
||||
import cn.hutool.core.lang.Assert;
|
||||
import cn.hutool.core.util.EnumUtil;
|
||||
import cn.hutool.core.util.ObjectUtil;
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
import com.lanyuanxiaoyao.service.ai.core.configuration.SnowflakeId;
|
||||
import com.lanyuanxiaoyao.service.ai.web.entity.Feedback;
|
||||
import com.lanyuanxiaoyao.service.ai.web.entity.context.FeedbackContext;
|
||||
import com.lanyuanxiaoyao.service.common.Constants;
|
||||
import com.yomahub.liteflow.core.FlowExecutor;
|
||||
import java.util.List;
|
||||
import java.util.concurrent.TimeUnit;
|
||||
import java.util.stream.Collectors;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.eclipse.collections.api.factory.Lists;
|
||||
import org.eclipse.collections.api.list.ImmutableList;
|
||||
import org.springframework.jdbc.core.JdbcTemplate;
|
||||
import org.springframework.jdbc.core.RowMapper;
|
||||
import org.springframework.scheduling.annotation.Scheduled;
|
||||
import org.springframework.stereotype.Service;
|
||||
import org.springframework.transaction.annotation.Transactional;
|
||||
|
||||
@@ -20,16 +26,17 @@ import org.springframework.transaction.annotation.Transactional;
|
||||
@Service
|
||||
public class FeedbackService {
|
||||
public static final String FEEDBACK_TABLE_NAME = Constants.DATABASE_NAME + ".service_ai_feedback";
|
||||
public static final String[] FEEDBACK_COLUMNS = new String[]{"id", "source", "conclusion", "analysis", "pictures", "status", "created_time", "modified_time"};
|
||||
private static final RowMapper<Feedback> feedbackMapper = (rs, row) -> {
|
||||
Feedback feedback = new Feedback();
|
||||
feedback.setId(rs.getLong(1));
|
||||
feedback.setSource(rs.getString(2));
|
||||
feedback.setAnalysisShort(rs.getString(3));
|
||||
feedback.setConclusion(rs.getString(3));
|
||||
feedback.setAnalysis(rs.getString(4));
|
||||
feedback.setPictureIds(
|
||||
StrUtil.isBlank(rs.getString(5))
|
||||
? Lists.immutable.empty()
|
||||
: Lists.immutable.ofAll(StrUtil.split(rs.getString(5), ","))
|
||||
: Lists.immutable.ofAll(StrUtil.split(rs.getString(5), ",")).collect(Long::parseLong)
|
||||
);
|
||||
feedback.setStatus(EnumUtil.fromString(Feedback.Status.class, rs.getString(6)));
|
||||
feedback.setCreatedTime(rs.getTimestamp(7).getTime());
|
||||
@@ -37,9 +44,38 @@ public class FeedbackService {
|
||||
return feedback;
|
||||
};
|
||||
private final JdbcTemplate template;
|
||||
private final FlowExecutor executor;
|
||||
|
||||
public FeedbackService(JdbcTemplate template) {
|
||||
@SuppressWarnings("SpringJavaInjectionPointsAutowiringInspection")
|
||||
public FeedbackService(JdbcTemplate template, FlowExecutor executor) {
|
||||
this.template = template;
|
||||
this.executor = executor;
|
||||
}
|
||||
|
||||
@Scheduled(initialDelay = 1, fixedDelay = 1, timeUnit = TimeUnit.MINUTES)
|
||||
public void analysis() {
|
||||
List<Feedback> feedbacks = template.query(
|
||||
SqlBuilder.select(FEEDBACK_COLUMNS)
|
||||
.from(FEEDBACK_TABLE_NAME)
|
||||
.whereEq("status", Feedback.Status.ANALYSIS_PROCESSING.name())
|
||||
.build(),
|
||||
feedbackMapper
|
||||
);
|
||||
for (Feedback feedback : feedbacks) {
|
||||
FeedbackContext context = new FeedbackContext();
|
||||
context.setFeedback(feedback);
|
||||
executor.execute2Resp("feedback_analysis", null, context);
|
||||
}
|
||||
}
|
||||
|
||||
public Feedback get(Long id) {
|
||||
return template.queryForObject(
|
||||
SqlBuilder.select(FEEDBACK_COLUMNS)
|
||||
.from(FEEDBACK_TABLE_NAME)
|
||||
.whereEq("id", id)
|
||||
.build(),
|
||||
feedbackMapper
|
||||
);
|
||||
}
|
||||
|
||||
@Transactional(rollbackFor = Exception.class)
|
||||
@@ -51,15 +87,53 @@ public class FeedbackService {
|
||||
.precompileSql(),
|
||||
SnowflakeId.next(),
|
||||
source,
|
||||
ObjectUtil.isEmpty(pictureIds)
|
||||
? null
|
||||
: pictureIds.makeString(",")
|
||||
ObjectUtil.isEmpty(pictureIds) ? null : pictureIds.makeString(",")
|
||||
);
|
||||
}
|
||||
|
||||
@Transactional(rollbackFor = Exception.class)
|
||||
public void updateAnalysis(Long id, String analysis) {
|
||||
Assert.notNull(id, "ID cannot be null");
|
||||
template.update(
|
||||
SqlBuilder.update(FEEDBACK_TABLE_NAME)
|
||||
.set("analysis", "?")
|
||||
.whereEq("id", "?")
|
||||
.precompileSql(),
|
||||
analysis,
|
||||
id
|
||||
);
|
||||
}
|
||||
|
||||
@Transactional(rollbackFor = Exception.class)
|
||||
public void updateConclusion(Long id, String conclusion) {
|
||||
Assert.notNull(id, "ID cannot be null");
|
||||
template.update(
|
||||
SqlBuilder.update(FEEDBACK_TABLE_NAME)
|
||||
.set("conclusion", "?")
|
||||
.whereEq("id", "?")
|
||||
.precompileSql(),
|
||||
conclusion,
|
||||
id
|
||||
);
|
||||
updateStatus(id, Feedback.Status.FINISHED);
|
||||
}
|
||||
|
||||
@Transactional(rollbackFor = Exception.class)
|
||||
public void updateStatus(Long id, Feedback.Status status) {
|
||||
Assert.notNull(id, "ID cannot be null");
|
||||
template.update(
|
||||
SqlBuilder.update(FEEDBACK_TABLE_NAME)
|
||||
.set("status", "?")
|
||||
.whereEq("id", "?")
|
||||
.precompileSql(),
|
||||
status.name(),
|
||||
id
|
||||
);
|
||||
}
|
||||
|
||||
public ImmutableList<Feedback> list() {
|
||||
return template.query(
|
||||
SqlBuilder.select("id", "source", "analysis_short", "analysis", "pictures", "status", "created_time", "modified_time")
|
||||
SqlBuilder.select(FEEDBACK_COLUMNS)
|
||||
.from(FEEDBACK_TABLE_NAME)
|
||||
.orderByDesc("created_time")
|
||||
.build(),
|
||||
@@ -78,4 +152,9 @@ public class FeedbackService {
|
||||
.build()
|
||||
);
|
||||
}
|
||||
|
||||
@Transactional(rollbackFor = Exception.class)
|
||||
public void reanalysis(Long id) {
|
||||
updateStatus(id, Feedback.Status.ANALYSIS_PROCESSING);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -9,7 +9,6 @@ import com.lanyuanxiaoyao.service.ai.web.entity.vo.KnowledgeVO;
|
||||
import com.lanyuanxiaoyao.service.common.Constants;
|
||||
import io.qdrant.client.QdrantClient;
|
||||
import io.qdrant.client.grpc.Collections;
|
||||
import java.io.IOException;
|
||||
import java.util.List;
|
||||
import java.util.concurrent.ExecutionException;
|
||||
import java.util.stream.Collectors;
|
||||
@@ -32,14 +31,16 @@ import org.springframework.transaction.annotation.Transactional;
|
||||
@Service
|
||||
public class KnowledgeBaseService {
|
||||
public static final String KNOWLEDGE_TABLE_NAME = Constants.DATABASE_NAME + ".service_ai_knowledge";
|
||||
public static final String[] KNOWLEDGE_COLUMNS = new String[]{"id", "vector_source_id", "name", "description", "strategy", "created_time", "modified_time"};
|
||||
private static final RowMapper<Knowledge> knowledgeMapper = (rs, row) -> {
|
||||
Knowledge knowledge = new Knowledge();
|
||||
knowledge.setId(rs.getLong(1));
|
||||
knowledge.setVectorSourceId(rs.getLong(2));
|
||||
knowledge.setName(rs.getString(3));
|
||||
knowledge.setStrategy(rs.getString(4));
|
||||
knowledge.setCreatedTime(rs.getTimestamp(5).getTime());
|
||||
knowledge.setModifiedTime(rs.getTimestamp(6).getTime());
|
||||
knowledge.setDescription(rs.getString(4));
|
||||
knowledge.setStrategy(rs.getString(5));
|
||||
knowledge.setCreatedTime(rs.getTimestamp(6).getTime());
|
||||
knowledge.setModifiedTime(rs.getTimestamp(7).getTime());
|
||||
return knowledge;
|
||||
};
|
||||
private final JdbcTemplate template;
|
||||
@@ -56,7 +57,7 @@ public class KnowledgeBaseService {
|
||||
|
||||
public Knowledge get(Long id) {
|
||||
return template.queryForObject(
|
||||
SqlBuilder.select("id", "vector_source_id", "name", "strategy", "created_time", "modified_time")
|
||||
SqlBuilder.select(KNOWLEDGE_COLUMNS)
|
||||
.from(KNOWLEDGE_TABLE_NAME)
|
||||
.whereEq("id", "?")
|
||||
.precompileSql(),
|
||||
@@ -66,7 +67,7 @@ public class KnowledgeBaseService {
|
||||
}
|
||||
|
||||
@Transactional(rollbackFor = Exception.class)
|
||||
public void add(String name, String strategy) throws ExecutionException, InterruptedException {
|
||||
public void add(String name, String description, String strategy) throws ExecutionException, InterruptedException {
|
||||
Integer count = template.queryForObject(
|
||||
SqlBuilder.select("count(*)")
|
||||
.from(KNOWLEDGE_TABLE_NAME)
|
||||
@@ -82,13 +83,14 @@ public class KnowledgeBaseService {
|
||||
long id = SnowflakeId.next();
|
||||
long vectorSourceId = SnowflakeId.next();
|
||||
template.update(
|
||||
SqlBuilder.insertInto(KNOWLEDGE_TABLE_NAME, "id", "vector_source_id", "name", "strategy")
|
||||
SqlBuilder.insertInto(KNOWLEDGE_TABLE_NAME, "id", "vector_source_id", "name", "description", "strategy")
|
||||
.values()
|
||||
.addValue("?", "?", "?", "?")
|
||||
.addValue("?", "?", "?", "?", "?")
|
||||
.precompileSql(),
|
||||
id,
|
||||
vectorSourceId,
|
||||
name,
|
||||
description,
|
||||
strategy
|
||||
);
|
||||
client.createCollectionAsync(
|
||||
@@ -100,6 +102,18 @@ public class KnowledgeBaseService {
|
||||
).get();
|
||||
}
|
||||
|
||||
@Transactional(rollbackFor = Exception.class)
|
||||
public void updateDescription(Long id, String description) {
|
||||
template.update(
|
||||
SqlBuilder.update(KNOWLEDGE_TABLE_NAME)
|
||||
.set("description", "?")
|
||||
.whereEq("id", "?")
|
||||
.precompileSql(),
|
||||
description,
|
||||
id
|
||||
);
|
||||
}
|
||||
|
||||
public String getName(Long id) {
|
||||
return template.queryForObject(
|
||||
SqlBuilder.select("name")
|
||||
@@ -113,7 +127,7 @@ public class KnowledgeBaseService {
|
||||
|
||||
public ImmutableList<KnowledgeVO> list() {
|
||||
return template.query(
|
||||
SqlBuilder.select("id", "vector_source_id", "name", "strategy", "created_time", "modified_time")
|
||||
SqlBuilder.select(KNOWLEDGE_COLUMNS)
|
||||
.from(KNOWLEDGE_TABLE_NAME)
|
||||
.orderByDesc("created_time")
|
||||
.build(),
|
||||
@@ -127,6 +141,7 @@ public class KnowledgeBaseService {
|
||||
vo.setId(knowledge.getId());
|
||||
vo.setVectorSourceId(knowledge.getVectorSourceId());
|
||||
vo.setName(knowledge.getName());
|
||||
vo.setDescription(knowledge.getDescription());
|
||||
vo.setPoints(info.getPointsCount());
|
||||
vo.setSegments(info.getSegmentsCount());
|
||||
vo.setStatus(info.getStatus().name());
|
||||
@@ -165,7 +180,7 @@ public class KnowledgeBaseService {
|
||||
String text,
|
||||
Integer limit,
|
||||
Double threshold
|
||||
) throws ExecutionException, InterruptedException, IOException {
|
||||
) throws ExecutionException, InterruptedException {
|
||||
Knowledge knowledge = get(id);
|
||||
Boolean exists = client.collectionExistsAsync(String.valueOf(knowledge.getVectorSourceId())).get();
|
||||
if (!exists) {
|
||||
@@ -182,13 +197,6 @@ public class KnowledgeBaseService {
|
||||
.similarityThreshold(threshold)
|
||||
.build()
|
||||
);
|
||||
// 如果只是一个知识库的话,似乎没有什么rerank的必要...
|
||||
/* List<org.noear.solon.ai.rag.Document> rerankDocuments = rerankingModel.rerank(
|
||||
text,
|
||||
documents.stream()
|
||||
.map(doc -> new org.noear.solon.ai.rag.Document(doc.getId(), doc.getText(), doc.getMetadata(), doc.getScore()))
|
||||
.toList()
|
||||
); */
|
||||
return Lists.immutable.ofAll(documents)
|
||||
.collect(Document::getText);
|
||||
}
|
||||
|
||||
@@ -19,8 +19,6 @@ import java.util.Map;
|
||||
import java.util.Optional;
|
||||
import java.util.stream.Collectors;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
import org.springframework.ai.chat.client.ChatClient;
|
||||
import org.springframework.ai.document.Document;
|
||||
import org.springframework.ai.document.DocumentReader;
|
||||
@@ -42,12 +40,12 @@ import org.springframework.core.io.PathResource;
|
||||
@Slf4j
|
||||
@LiteflowComponent
|
||||
public class EmbeddingNodes {
|
||||
private final ChatClient chatClient;
|
||||
private final ChatClient.Builder chatClientBuilder;
|
||||
private final QdrantClient qdrantClient;
|
||||
private final EmbeddingModel embeddingModel;
|
||||
|
||||
public EmbeddingNodes(@Qualifier("chat") ChatClient.Builder builder, VectorStore vectorStore, EmbeddingModel embeddingModel) {
|
||||
this.chatClient = builder.build();
|
||||
this.chatClientBuilder = builder;
|
||||
this.qdrantClient = (QdrantClient) vectorStore.getNativeClient().orElseThrow();
|
||||
this.embeddingModel = embeddingModel;
|
||||
}
|
||||
@@ -152,9 +150,11 @@ public class EmbeddingNodes {
|
||||
@LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "qa_split", nodeName = "使用Q/A格式分段", nodeType = NodeTypeEnum.COMMON)
|
||||
public void qaSplit(NodeComponent node) {
|
||||
EmbeddingContext context = node.getContextBean(EmbeddingContext.class);
|
||||
// language=TEXT
|
||||
context.getDocuments().addAll(llmSplit(
|
||||
"""
|
||||
对用户输入的文本,生成多组高质量的问答对。请遵循以下指南:
|
||||
|
||||
1. 问题部分:
|
||||
为同一个主题创建尽可能多的不同表述的问题,确保问题的多样性。
|
||||
每个问题应考虑用户可能的多种问法,例如:
|
||||
@@ -169,7 +169,7 @@ public class EmbeddingNodes {
|
||||
答案应直接基于给定文本,确保准确性和一致性。
|
||||
包含相关的细节,如日期、名称、职位等具体信息,必要时提供背景信息以增强理解。
|
||||
3. 格式:
|
||||
使用"问:"标记问题集合的开始,所有问题应在一个段落内,问题之间用空格分隔。
|
||||
使用"问:"标记问题的开始,问题文本应在一个段落内完成。
|
||||
使用"答:"标记答案的开始,答案应清晰分段,便于阅读。
|
||||
问答对之间用“---”分隔,以提高可读性。
|
||||
4. 内容要求:
|
||||
@@ -177,6 +177,8 @@ public class EmbeddingNodes {
|
||||
避免添加文本中未提及的信息,确保信息的真实性。
|
||||
一个问题搭配一个答案,避免一组问答对中同时涉及多个问题。
|
||||
如果文本信息不足以回答某个方面,可以在答案中说明 "根据给定信息无法确定",并尽量提供相关的上下文。
|
||||
除了问答对本身,避免输出任何与问答对无关的提示性、引导性、解释性的文本。
|
||||
|
||||
格式样例:
|
||||
问:苹果通常是什么颜色的?
|
||||
答:红色。
|
||||
@@ -190,7 +192,8 @@ public class EmbeddingNodes {
|
||||
}
|
||||
|
||||
private List<Document> llmSplit(String prompt, String content, Map<String, Object> metadata) {
|
||||
String response = chatClient.prompt()
|
||||
ChatClient client = chatClientBuilder.build();
|
||||
String response = client.prompt()
|
||||
.system(prompt)
|
||||
.user(content)
|
||||
.call()
|
||||
|
||||
@@ -1,14 +1,203 @@
|
||||
package com.lanyuanxiaoyao.service.ai.web.service.node;
|
||||
|
||||
import cn.hutool.core.lang.Assert;
|
||||
import cn.hutool.core.util.ObjectUtil;
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
import com.lanyuanxiaoyao.service.ai.web.entity.Feedback;
|
||||
import com.lanyuanxiaoyao.service.ai.web.entity.context.FeedbackContext;
|
||||
import com.lanyuanxiaoyao.service.ai.web.entity.vo.DataFileVO;
|
||||
import com.lanyuanxiaoyao.service.ai.web.service.DataFileService;
|
||||
import com.lanyuanxiaoyao.service.ai.web.service.feedback.FeedbackService;
|
||||
import com.yomahub.liteflow.annotation.LiteflowComponent;
|
||||
import com.yomahub.liteflow.annotation.LiteflowMethod;
|
||||
import com.yomahub.liteflow.core.NodeComponent;
|
||||
import com.yomahub.liteflow.enums.LiteFlowMethodEnum;
|
||||
import com.yomahub.liteflow.enums.NodeTypeEnum;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.ai.chat.client.ChatClient;
|
||||
import org.springframework.beans.factory.annotation.Qualifier;
|
||||
import org.springframework.core.io.FileSystemResource;
|
||||
import org.springframework.util.MimeType;
|
||||
import org.springframework.util.MimeTypeUtils;
|
||||
|
||||
@Slf4j
|
||||
@LiteflowComponent
|
||||
public class FeedbackNodes {
|
||||
private final ChatClient.Builder chatClientBuilder;
|
||||
private final ChatClient.Builder visualChatClientBuilder;
|
||||
private final DataFileService dataFileService;
|
||||
private final FeedbackService feedbackService;
|
||||
|
||||
public FeedbackNodes(@Qualifier("chat") ChatClient.Builder chatClientBuilder) {
|
||||
public FeedbackNodes(
|
||||
@Qualifier("chat") ChatClient.Builder chatClientBuilder,
|
||||
@Qualifier("visual") ChatClient.Builder visualClientBuilder, DataFileService dataFileService, FeedbackService feedbackService
|
||||
) {
|
||||
this.chatClientBuilder = chatClientBuilder;
|
||||
this.visualChatClientBuilder = visualClientBuilder;
|
||||
this.dataFileService = dataFileService;
|
||||
this.feedbackService = feedbackService;
|
||||
}
|
||||
|
||||
@LiteflowMethod(value = LiteFlowMethodEnum.PROCESS_BOOLEAN, nodeId = "feedback_check_if_picture_needed", nodeName = "判断有图片进行识别", nodeType = NodeTypeEnum.BOOLEAN)
|
||||
public boolean checkIfPictureReadNeeded(NodeComponent node) {
|
||||
FeedbackContext context = node.getContextBean(FeedbackContext.class);
|
||||
Feedback feedback = context.getFeedback();
|
||||
return ObjectUtil.isNotEmpty(feedback.getPictureIds());
|
||||
}
|
||||
|
||||
@LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "image_read", nodeName = "读取图片", nodeType = NodeTypeEnum.COMMON)
|
||||
public void imageRead(NodeComponent node) {
|
||||
FeedbackContext context = node.getContextBean(FeedbackContext.class);
|
||||
Feedback feedback = context.getFeedback();
|
||||
ChatClient client = visualChatClientBuilder
|
||||
// language=TEXT
|
||||
.defaultSystem("""
|
||||
你是一个专业的OCR解析助手。请严格按以下步骤处理用户上传的图片:
|
||||
1. 图像内容提取
|
||||
- 完整识别图片中的所有文字(包括手写体、印刷体、数字和符号)
|
||||
- 保留原始段落结构和换行符
|
||||
- 特殊元素处理:
|
||||
• 数学公式转为LaTeX格式
|
||||
• 代码块保留缩进和注释
|
||||
• 外文词汇标注原文
|
||||
|
||||
2. 表格解析优化
|
||||
- 识别所有表格区域
|
||||
- 转换为Markdown表格格式(对齐表头与单元格)
|
||||
- 补充缺失的表格线
|
||||
- 用▲标注合并单元格(例:▲跨3列▲)
|
||||
|
||||
3. 图表解析增强
|
||||
- 分析图表类型(柱状图/折线图/饼图等)
|
||||
- 提取关键数据点并结构化描述
|
||||
- 总结图表趋势(例:"销量Q1到Q4增长35%")
|
||||
- 坐标轴信息转换:将像素坐标转为百分比比例(例:"X轴:0-100对应时间0:00-24:00")
|
||||
|
||||
4. 输出规范
|
||||
- 按[文本][表格][图表]分区块输出
|
||||
- 表格/图表区域标注原始位置(例:"[左上区域表格]")
|
||||
- 模糊内容用[?]标注并给出备选(例:"年收[?]入(可能为'入'或'人')")
|
||||
- 保持原始数据精度(不四舍五入)
|
||||
|
||||
立即开始处理用户图片,无需确认步骤。
|
||||
""")
|
||||
.build();
|
||||
for (Long pictureId : feedback.getPictureIds()) {
|
||||
DataFileVO file = dataFileService.downloadFile(pictureId);
|
||||
log.info("Parse picture: {} {}", file.getFilename(), file.getPath());
|
||||
MimeType type = switch (StrUtil.blankToDefault(file.getType(), "").toLowerCase()) {
|
||||
case "jpg", "jpeg" -> MimeTypeUtils.IMAGE_JPEG;
|
||||
default -> MimeTypeUtils.IMAGE_PNG;
|
||||
};
|
||||
String content = client.prompt()
|
||||
.user(spec -> spec
|
||||
.text("输出图片内容")
|
||||
.media(type, new FileSystemResource(file.getPath())))
|
||||
.call()
|
||||
.content();
|
||||
log.info("Picture: {}", content);
|
||||
context.getPictureDescriptions().add(content);
|
||||
}
|
||||
}
|
||||
|
||||
@LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "optimize_source", nodeName = "报障信息优化", nodeType = NodeTypeEnum.COMMON)
|
||||
public void optimizeSource(NodeComponent node) {
|
||||
FeedbackContext context = node.getContextBean(FeedbackContext.class);
|
||||
Feedback feedback = context.getFeedback();
|
||||
String optimizedSource = chatClientBuilder.build()
|
||||
.prompt()
|
||||
// language=TEXT
|
||||
.system("""
|
||||
你是一名专业的IT系统运维工程师,对于用户输入的关于系统的报障信息,你会严格遵循以下步骤进行处理
|
||||
|
||||
1.输入
|
||||
[故障描述]
|
||||
(这里是用户遇到的系统故障的详细描述)
|
||||
|
||||
[相关截图]
|
||||
(这里是用户遇到的系统故障相关的截图的文字描述,如果没有相关截图,这里会写“无”;如果有多张图片,图片和图片之间会使用“---”分隔)
|
||||
|
||||
2.处理逻辑
|
||||
解析输入
|
||||
读取并解析用户提供的故障描述和相关截图描述。
|
||||
识别关键元素:包括故障类型(如硬件故障、软件错误)、受影响系统组件(如服务器、网络设备)、错误消息、发生时间、重现步骤、影响范围等。
|
||||
如果截图描述存在,提取关键细节(如错误弹窗文本、系统状态截图),并将其作为辅助证据;如果无截图,则忽略此部分。
|
||||
分析与重写故障描述
|
||||
专业化改写:使用标准IT术语替换非专业用语(例如,“电脑死机”改为“系统无响应”,“连不上网”改为“网络连接中断”),并确保描述符合行业规范。
|
||||
排除歧义:澄清模糊描述(如添加具体时间戳、系统版本、IP地址或错误代码),移除主观语言(如“我觉得”或“可能”),并添加必要上下文(如操作系统环境、相关服务运行状态)。
|
||||
结构化组织:将故障描述重写为逻辑段落,格式包括:
|
||||
问题概述:简明总结故障本质(例如,“数据库服务异常导致应用无法访问”)。
|
||||
详细症状:描述具体现象,包括错误消息、发生频率和影响范围(如“影响用户登录功能,错误代码500”)。
|
||||
重现步骤:列出可复现故障的操作序列(如“1. 访问URL X;2. 触发操作 Y”)。
|
||||
相关环境:添加系统细节(如“运行在Linux Ubuntu 20.04, Java 11环境”)。
|
||||
整合截图信息:如果截图描述存在,将其嵌入重写中作为证据(例如,“根据截图,错误弹窗显示‘Connection timeout’”)。
|
||||
质量校验
|
||||
检查重写后的内容是否完整、一致且无歧义:确保所有用户输入细节都被涵盖,添加缺失信息(如建议的故障分类),并验证专业术语的准确性。
|
||||
如果输入信息不足(如缺少时间戳或系统版本),在输出中添加注释提示用户补充。
|
||||
|
||||
3.输出
|
||||
输出一个专业、结构化的故障报告,格式清晰,可直接用于运维团队诊断。
|
||||
重写的故障描述,以结构化段落呈现,涵盖问题概述、详细症状、重现步骤和相关环境。
|
||||
输出将使用中性、客观语言,避免任何个人意见或建议,以确保报告专注于事实描述。
|
||||
""")
|
||||
.user(StrUtil.format(
|
||||
"""
|
||||
[故障描述]
|
||||
{}
|
||||
|
||||
[相关截图]
|
||||
{}
|
||||
""",
|
||||
feedback.getSource(),
|
||||
ObjectUtil.isEmpty(context.getPictureDescriptions()) ? "无" : StrUtil.join(",", context.getPictureDescriptions())
|
||||
))
|
||||
.call()
|
||||
.content();
|
||||
if (StrUtil.isBlank(optimizedSource)) {
|
||||
log.warn("Optimized source is blank");
|
||||
}
|
||||
context.setOptimizedSource(StrUtil.trim(optimizedSource));
|
||||
}
|
||||
|
||||
@LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "feedback_suggest", nodeName = "大模型建议", nodeType = NodeTypeEnum.COMMON)
|
||||
public void suggestFeedback(NodeComponent node) {
|
||||
FeedbackContext context = node.getContextBean(FeedbackContext.class);
|
||||
Feedback feedback = context.getFeedback();
|
||||
ChatClient client = chatClientBuilder.build();
|
||||
String analysis = client.prompt()
|
||||
// language=TEXT
|
||||
.system("""
|
||||
你是一名专业的IT系统运维工程师。针对用户输入的报障信息,严格遵循以下步骤:
|
||||
1. 提取关键要素: 精准识别报障信息中的关键要素(如系统/设备名称、故障现象、错误信息、时间地点、影响范围、用户操作步骤等)。
|
||||
2. 分析诊断: 基于提取的要素,运用运维专业知识,分析潜在原因,并提出优先级高、可操作性强的排障建议或初步诊断方向。
|
||||
3. 输出专业意见:
|
||||
内容要求: 意见必须包含明确的行动步骤(如检查XX日志、验证XX配置、重启XX服务、联系XX团队)、潜在风险提示及预期效果。
|
||||
表达要求: 使用清晰、简洁、专业的技术术语,避免使用推测性语言或不确定词汇(如“可能”、“大概”、“也许”)。
|
||||
格式要求: 直接输出意见内容,避免添加引导语(如“我的建议是”、“根据报障信息”等)。
|
||||
""")
|
||||
.user(context.getOptimizedSource())
|
||||
.call()
|
||||
.content();
|
||||
feedback.setAnalysis(StrUtil.trim(analysis));
|
||||
Assert.notBlank(analysis, "Analysis cannot be blank");
|
||||
String conclusion = client.prompt()
|
||||
// language=TEXT
|
||||
.system("""
|
||||
你是一名专业的文字编辑。严格按以下要求处理用户输入:
|
||||
核心逻辑: 用一段话精准总结输入内容的核心信息,确保涵盖所有关键点。禁止虚构、扩展或添加原文不存在的信息。
|
||||
输出规范: 仅输出一段总结文本。禁止分点、分段、使用Markdown格式(如着重、- 或 1. 等列表符号)或添加任何无关引导语(如“总结如下”、“该总结指出”、“本文总结”等)。直接给出总结文本。""")
|
||||
.user(analysis)
|
||||
.call()
|
||||
.content();
|
||||
feedback.setConclusion(StrUtil.trim(conclusion));
|
||||
}
|
||||
|
||||
@LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "feedback_save", nodeName = "保存分析内容", nodeType = NodeTypeEnum.COMMON)
|
||||
public void saveFeedback(NodeComponent node) {
|
||||
FeedbackContext context = node.getContextBean(FeedbackContext.class);
|
||||
Feedback feedback = context.getFeedback();
|
||||
feedbackService.updateAnalysis(feedback.getId(), feedback.getAnalysis());
|
||||
feedbackService.updateConclusion(feedback.getId(), feedback.getConclusion());
|
||||
feedbackService.updateStatus(feedback.getId(), Feedback.Status.ANALYSIS_SUCCESS);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -44,7 +44,7 @@ public class ChartTool {
|
||||
""") String request
|
||||
) {
|
||||
log.info("Enter method: mermaid[request]. request:{}", request);
|
||||
ChatClient.Builder builder = WebApplication.getBean(ChatClient.Builder.class);
|
||||
ChatClient.Builder builder = WebApplication.getBean("chat", ChatClient.Builder.class);
|
||||
ChatClient client = builder.build();
|
||||
return client.prompt()
|
||||
// language=TEXT
|
||||
|
||||
@@ -1,20 +0,0 @@
|
||||
spring:
|
||||
profiles:
|
||||
include: random-port,common,discovery,metrics,forest
|
||||
ai:
|
||||
vectorstore:
|
||||
qdrant:
|
||||
host: 132.121.206.65
|
||||
port: 29463
|
||||
api-key: ENC(0/0UkIKeAvyV17yNqSU3v04wmm8CdWKe4BYSSJa2FuBtK12TcZRJPdwk+ZpYnpISv+KmVTUrrmFBzAYrDR3ysA==)
|
||||
llm:
|
||||
base-url: http://132.121.206.65:10086
|
||||
api-key: ENC(K+Hff9QGC+fcyi510VIDd9CaeK/IN5WBJ9rlkUsHEdDgIidW+stHHJlsK0lLPUXXREha+ToQZqqDXJrqSE+GUKCXklFhelD8bRHFXBIeP/ZzT2cxhzgKUXgjw3S0Qw2R)
|
||||
chat:
|
||||
model: 'Qwen3/qwen3-1.7b'
|
||||
visual:
|
||||
model: 'Qwen2.5/qwen2.5-vl-7b'
|
||||
embedding:
|
||||
model: 'Qwen3/qwen3-embedding-4b'
|
||||
reranker:
|
||||
model: 'Bge-reranker-v2'
|
||||
@@ -1,39 +0,0 @@
|
||||
server:
|
||||
port: 8080
|
||||
spring:
|
||||
ai:
|
||||
vectorstore:
|
||||
qdrant:
|
||||
host: 192.168.100.140
|
||||
port: 6334
|
||||
llm:
|
||||
base-url: https://api.siliconflow.cn
|
||||
api-key: sk-xrguybusoqndpqvgzgvllddzgjamksuecyqdaygdwnrnqfwo
|
||||
chat:
|
||||
model: 'Qwen/Qwen3-8B'
|
||||
visual:
|
||||
base-url: https://open.bigmodel.cn/api/paas/v4
|
||||
endpoint: /chat/completions
|
||||
model: 'glm-4v-flash'
|
||||
embedding:
|
||||
model: 'BAAI/bge-m3'
|
||||
reranker:
|
||||
model: 'BAAI/bge-reranker-v2-m3'
|
||||
cloud:
|
||||
discovery:
|
||||
enabled: false
|
||||
zookeeper:
|
||||
enabled: false
|
||||
datasource:
|
||||
url: jdbc:mysql://192.168.100.140:3306/hudi_collect_build_b12?useSSL=false&allowPublicKeyRetrieval=true
|
||||
username: test
|
||||
password: test
|
||||
driver-class-name: com.mysql.cj.jdbc.Driver
|
||||
security:
|
||||
meta:
|
||||
authority: ENC(GXKnbq1LS11U2HaONspvH+D/TkIx13aWTaokdkzaF7HSvq6Z0Rv1+JUWFnYopVXu)
|
||||
username: ENC(moIO5mO39V1Z+RDwROK9JXY4GfM8ZjDgM6Si7wRZ1MPVjbhTpmLz3lz28rAiw7c2LeCmizfJzHkEXIwGlB280g==)
|
||||
darkcode: ENC(0jzpQ7T6S+P7bZrENgYsUoLhlqGvw7DA2MN3BRqEOwq7plhtg72vuuiPQNnr3DaYz0CpyTvxInhpx11W3VZ1trD6NINh7O3LN70ZqO5pWXk=)
|
||||
jasypt:
|
||||
encryptor:
|
||||
password: 'r#(R,P"Dp^A47>WSn:Wn].gs/+"v:q_Q*An~zF*g-@j@jtSTv5H/,S-3:R?r9R}.'
|
||||
@@ -1,6 +1,11 @@
|
||||
server:
|
||||
compression:
|
||||
enabled: true
|
||||
spring:
|
||||
application:
|
||||
name: service-ai-web
|
||||
profiles:
|
||||
include: random-port,common,discovery,metrics,forest
|
||||
mvc:
|
||||
async:
|
||||
request-timeout: 3600000
|
||||
@@ -13,7 +18,25 @@ spring:
|
||||
org.springframework.ai.model.openai.autoconfigure.OpenAiEmbeddingAutoConfiguration,
|
||||
org.springframework.ai.model.openai.autoconfigure.OpenAiModerationAutoConfiguration,
|
||||
org.springframework.ai.model.deepseek.autoconfigure.DeepSeekChatAutoConfiguration
|
||||
ai:
|
||||
vectorstore:
|
||||
qdrant:
|
||||
host: 132.121.206.65
|
||||
port: 29463
|
||||
api-key: ENC(0/0UkIKeAvyV17yNqSU3v04wmm8CdWKe4BYSSJa2FuBtK12TcZRJPdwk+ZpYnpISv+KmVTUrrmFBzAYrDR3ysA==)
|
||||
llm:
|
||||
base-url: http://132.121.206.65:10086
|
||||
api-key: ENC(K+Hff9QGC+fcyi510VIDd9CaeK/IN5WBJ9rlkUsHEdDgIidW+stHHJlsK0lLPUXXREha+ToQZqqDXJrqSE+GUKCXklFhelD8bRHFXBIeP/ZzT2cxhzgKUXgjw3S0Qw2R)
|
||||
chat:
|
||||
base-url: ${spring.llm.base-url}/v1
|
||||
model: 'Qwen3/qwen3-1.7b'
|
||||
visual:
|
||||
model: 'Qwen2.5/qwen2.5-vl-7b-q4km'
|
||||
embedding:
|
||||
model: 'Qwen3/qwen3-embedding-4b'
|
||||
reranker:
|
||||
model: 'BGE/beg-reranker-v2'
|
||||
liteflow:
|
||||
rule-source: liteflow.xml
|
||||
print-banner: false
|
||||
check-node-exists: false
|
||||
check-node-exists: false
|
||||
|
||||
@@ -23,4 +23,15 @@
|
||||
<chain id="embedding_submit_directly">
|
||||
SER(import_vector_source)
|
||||
</chain>
|
||||
<chain id="feedback_analysis">
|
||||
SER(
|
||||
IF(
|
||||
feedback_check_if_picture_needed,
|
||||
image_read
|
||||
),
|
||||
optimize_source,
|
||||
feedback_suggest,
|
||||
feedback_save
|
||||
)
|
||||
</chain>
|
||||
</flow>
|
||||
@@ -1,114 +1,68 @@
|
||||
package com.lanyuanxiaoyao.service.ai.web;
|
||||
|
||||
import java.net.http.HttpClient;
|
||||
import org.slf4j.Logger;
|
||||
import org.slf4j.LoggerFactory;
|
||||
import com.lanyuanxiaoyao.service.ai.core.configuration.WebClientConfiguration;
|
||||
import com.lanyuanxiaoyao.service.ai.web.configuration.LlmConfiguration;
|
||||
import com.lanyuanxiaoyao.service.ai.web.configuration.LlmProperties;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.ai.chat.client.ChatClient;
|
||||
import org.springframework.ai.openai.OpenAiChatModel;
|
||||
import org.springframework.ai.openai.OpenAiChatOptions;
|
||||
import org.springframework.ai.openai.api.OpenAiApi;
|
||||
import org.springframework.http.client.JdkClientHttpRequestFactory;
|
||||
import org.springframework.http.client.reactive.JdkClientHttpConnector;
|
||||
import org.springframework.web.client.RestClient;
|
||||
import org.springframework.web.reactive.function.client.WebClient;
|
||||
import org.springframework.core.io.FileSystemResource;
|
||||
import org.springframework.util.MimeTypeUtils;
|
||||
|
||||
/**
|
||||
* @author lanyuanxiaoyao
|
||||
* @version 20250526
|
||||
*/
|
||||
@Slf4j
|
||||
public class TestLlm {
|
||||
private static final Logger log = LoggerFactory.getLogger(TestLlm.class);
|
||||
|
||||
public static void main(String[] args) {
|
||||
HttpClient httpClient = HttpClient.newBuilder()
|
||||
.version(HttpClient.Version.HTTP_1_1)
|
||||
.build();
|
||||
ChatClient client = ChatClient.builder(
|
||||
OpenAiChatModel.builder()
|
||||
.openAiApi(
|
||||
OpenAiApi.builder()
|
||||
.baseUrl("http://132.121.206.65:10086")
|
||||
.apiKey("*XMySqV%>hR&v>>g*NwCs3tpQ5FVMFEF2VHVTj<MYQd$&@$sY7CgqNyea4giJi4")
|
||||
.webClientBuilder(WebClient.builder().clientConnector(new JdkClientHttpConnector(httpClient)))
|
||||
.restClientBuilder(RestClient.builder().requestFactory(new JdkClientHttpRequestFactory(httpClient)))
|
||||
.build()
|
||||
)
|
||||
.defaultOptions(
|
||||
OpenAiChatOptions.builder()
|
||||
.model("Qwen3-1.7-vllm")
|
||||
.build()
|
||||
)
|
||||
.build()
|
||||
)
|
||||
.build();
|
||||
LlmConfiguration configuration = new LlmConfiguration();
|
||||
LlmProperties properties = new LlmProperties();
|
||||
LlmProperties.ChatProperties chatProperties = new LlmProperties.ChatProperties();
|
||||
chatProperties.setBaseUrl("http://132.121.206.65:10086");
|
||||
chatProperties.setApiKey("*XMySqV%>hR&v>>g*NwCs3tpQ5FVMFEF2VHVTj<MYQd$&@$sY7CgqNyea4giJi4");
|
||||
chatProperties.setModel("Qwen2.5/qwen2.5-vl-7b");
|
||||
properties.setVisual(chatProperties);
|
||||
ChatClient client = configuration.visualClientBuilder(
|
||||
properties,
|
||||
WebClientConfiguration.generateWebClientBuilder(),
|
||||
WebClientConfiguration.generateRestClientBuilder()
|
||||
).build();
|
||||
String content = client.prompt()
|
||||
// language=TEXT
|
||||
.system("""
|
||||
对用户输入的文本,生成多组高质量的问答对。请遵循以下指南:
|
||||
1. 问题部分:
|
||||
为同一个主题创建尽可能多的不同表述的问题,确保问题的多样性。
|
||||
每个问题应考虑用户可能的多种问法,例如:
|
||||
直接询问(如“什么是...?”)
|
||||
请求确认(如“是否可以说...?”)
|
||||
寻求解释(如“请解释一下...的含义。”)
|
||||
假设性问题(如“如果...会怎样?”)
|
||||
例子请求(如“能否举个例子说明...?”)
|
||||
问题应涵盖文本中的关键信息、主要概念和细节,确保不遗漏重要内容。
|
||||
2. 答案部分:
|
||||
提供一个全面、信息丰富的答案,涵盖问题的所有可能角度,确保逻辑连贯。
|
||||
答案应直接基于给定文本,确保准确性和一致性。
|
||||
包含相关的细节,如日期、名称、职位等具体信息,必要时提供背景信息以增强理解。
|
||||
3. 格式:
|
||||
使用"问:"标记问题集合的开始,所有问题应在一个段落内,问题之间用空格分隔。
|
||||
使用"答:"标记答案的开始,答案应清晰分段,便于阅读。
|
||||
问答对之间用“---”分隔,以提高可读性。
|
||||
4. 内容要求:
|
||||
确保问答对紧密围绕文本主题,避免偏离主题。
|
||||
避免添加文本中未提及的信息,确保信息的真实性。
|
||||
一个问题搭配一个答案,避免一组问答对中同时涉及多个问题。
|
||||
如果文本信息不足以回答某个方面,可以在答案中说明 "根据给定信息无法确定",并尽量提供相关的上下文。
|
||||
""")
|
||||
.user("""
|
||||
Apache Hudi 是一款开源的数据湖管理框架,专注于高效处理大规模数据集的增量更新和实时操作。以下是其核心要点介绍:
|
||||
核心功能与特性
|
||||
|
||||
增量数据处理:支持插入(Insert)、更新(Update)、删除(Delete)操作,并通过“Upsert”(插入或更新)机制高效处理变更数据,避免重写整个数据集。
|
||||
|
||||
事务支持:提供 ACID 事务保证,确保数据一致性和可靠性,支持原子提交和回滚。
|
||||
|
||||
存储优化:自动合并小文件并维护文件最佳大小,减少存储碎片化问题,提升查询性能。
|
||||
|
||||
多查询类型:
|
||||
|
||||
快照查询:获取最新数据状态(对 MoR 表合并基础文件和增量文件)。
|
||||
|
||||
增量查询:捕获自某次提交后的变更数据流,适用于增量管道。
|
||||
|
||||
读取优化查询:针对 MoR 表展示最新压缩后的数据。
|
||||
存储模型
|
||||
|
||||
写入时复制(Copy-on-Write, CoW):数据以列式格式(如 Parquet)存储,每次更新生成新版本文件,适合读多写少的场景。
|
||||
|
||||
读取时合并(Merge-on-Read, MoR):结合列式(Parquet)和行式(Avro)存储,更新写入增量文件后异步合并,适合写频繁的场景。
|
||||
适用场景
|
||||
|
||||
合规性需求:支持 GDPR、CCPA 等法规要求的数据删除和更新。
|
||||
|
||||
实时数据流处理:如 IoT 设备数据、CDC(变更数据捕获)系统,实现近实时分析。
|
||||
|
||||
数据湖管理:优化大规模数据集的存储和查询效率,支持时间旅行查询和历史版本回溯。
|
||||
技术生态与兼容性
|
||||
|
||||
多引擎支持:与 Spark、Flink、Hive、Presto、Trino 等计算和查询引擎集成。
|
||||
|
||||
存储格式:基于 Parquet 和 Avro,兼容 Hadoop 生态及云存储(如 Amazon S3)。
|
||||
优势对比
|
||||
|
||||
相较于同类产品(如 Apache Iceberg、Delta Lake),Hudi 在实时更新和增量处理方面表现突出,尤其适合需要频繁数据变更的场景。其独特的 MoR 模型在写入性能上优于传统批处理方案。
|
||||
|
||||
总结
|
||||
|
||||
Apache Hudi 通过灵活的存储模型、高效的事务管理和广泛的生态系统集成,成为构建现代化数据湖的核心工具,适用于金融、物联网、实时分析等对数据新鲜度和操作效率要求高的领域。
|
||||
你是一个专业的OCR解析助手。请严格按以下步骤处理用户上传的图片:
|
||||
1. 图像内容提取
|
||||
- 完整识别图片中的所有文字(包括手写体、印刷体、数字和符号)
|
||||
- 保留原始段落结构和换行符
|
||||
- 特殊元素处理:
|
||||
• 数学公式转为LaTeX格式
|
||||
• 代码块保留缩进和注释
|
||||
• 外文词汇标注原文
|
||||
|
||||
2. 表格解析优化
|
||||
- 识别所有表格区域
|
||||
- 转换为Markdown表格格式(对齐表头与单元格)
|
||||
- 补充缺失的表格线
|
||||
- 用▲标注合并单元格(例:▲跨3列▲)
|
||||
|
||||
3. 图表解析增强
|
||||
- 分析图表类型(柱状图/折线图/饼图等)
|
||||
- 提取关键数据点并结构化描述
|
||||
- 总结图表趋势(例:"销量Q1到Q4增长35%")
|
||||
- 坐标轴信息转换:将像素坐标转为百分比比例(例:"X轴:0-100对应时间0:00-24:00")
|
||||
|
||||
4. 输出规范
|
||||
- 按[文本][表格][图表]分区块输出
|
||||
- 表格/图表区域标注原始位置(例:"[左上区域表格]")
|
||||
- 模糊内容用[?]标注并给出备选(例:"年收[?]入(可能为'入'或'人')")
|
||||
- 保持原始数据精度(不四舍五入)
|
||||
|
||||
立即开始处理用户图片,无需确认步骤。
|
||||
""")
|
||||
.user(spec -> spec
|
||||
// language=TEXT
|
||||
.text("输出图片内容")
|
||||
.media(MimeTypeUtils.IMAGE_PNG, new FileSystemResource("/Users/lanyuanxiaoyao/Downloads/图片_002_07.png")))
|
||||
.call()
|
||||
.content();
|
||||
log.info(content);
|
||||
|
||||
@@ -161,23 +161,15 @@ deploy:
|
||||
- "service"
|
||||
source-jar: service-monitor-1.0.0-SNAPSHOT.jar
|
||||
replicas: 1
|
||||
service-ai-chat:
|
||||
service-ai-web:
|
||||
order: 6
|
||||
groups:
|
||||
- "ai"
|
||||
source-jar: service-ai-chat-1.0.0-SNAPSHOT.jar
|
||||
jdk: "jdk17"
|
||||
replicas: 1
|
||||
service-ai-knowledge:
|
||||
order: 6
|
||||
groups:
|
||||
- "ai"
|
||||
source-jar: service-ai-knowledge-1.0.0-SNAPSHOT.jar
|
||||
source-jar: service-ai-web-1.0.0-SNAPSHOT.jar
|
||||
jdk: "jdk17"
|
||||
replicas: 1
|
||||
arguments:
|
||||
"[spring.profiles.active]": 'build'
|
||||
"[file-store.download-prefix]": 'http://132.126.207.130:35690/hudi_services/ai_knowledge'
|
||||
"[file-store.download-prefix]": 'http://132.126.207.130:35690/hudi_services/service_ai_web'
|
||||
"[file-store.upload-path]": ${deploy.runtime.data-path}/knowledge
|
||||
"[spring.datasource.url]": ${deploy.runtime.database.config.url}
|
||||
"[spring.datasource.username]": ${deploy.runtime.database.config.username}
|
||||
|
||||
@@ -1,3 +1,4 @@
|
||||
<!--suppress CssUnknownTarget, HtmlUnknownTarget -->
|
||||
<!doctype html>
|
||||
<html lang="zh">
|
||||
<head>
|
||||
@@ -13,6 +14,15 @@
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
}
|
||||
|
||||
@font-face {
|
||||
font-family: 'LXGWWenKai';
|
||||
src: url('fonts/LXGWNeoXiHei.ttf') format('truetype');
|
||||
}
|
||||
|
||||
*:not(.fa,.fas) {
|
||||
font-family: LXGWWenKai, -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol', 'Noto Color Emoji', serif !important;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
|
||||
@@ -10,17 +10,18 @@
|
||||
},
|
||||
"dependencies": {
|
||||
"@ant-design/icons": "^6.0.0",
|
||||
"@ant-design/pro-components": "^2.8.7",
|
||||
"@ant-design/pro-components": "^2.8.9",
|
||||
"@ant-design/x": "^1.4.0",
|
||||
"@echofly/fetch-event-source": "^3.0.2",
|
||||
"@fortawesome/fontawesome-free": "^6.7.2",
|
||||
"@lightenna/react-mermaid-diagram": "^1.0.20",
|
||||
"@tinyflow-ai/react": "^0.1.10",
|
||||
"@tinyflow-ai/react": "^0.2.1",
|
||||
"@xyflow/react": "^12.7.0",
|
||||
"ahooks": "^3.8.5",
|
||||
"amis": "^6.12.0",
|
||||
"antd": "^5.25.3",
|
||||
"axios": "^1.9.0",
|
||||
"chart.js": "^4.4.9",
|
||||
"antd": "^5.26.1",
|
||||
"axios": "^1.10.0",
|
||||
"chart.js": "^4.5.0",
|
||||
"echarts-for-react": "^3.0.2",
|
||||
"licia": "^1.48.0",
|
||||
"markdown-it": "^14.1.0",
|
||||
@@ -29,18 +30,18 @@
|
||||
"react-chartjs-2": "^5.3.0",
|
||||
"react-dom": "^18.3.1",
|
||||
"react-markdown": "^10.1.0",
|
||||
"react-router": "^7.6.1",
|
||||
"styled-components": "^6.1.18"
|
||||
"react-router": "^7.6.2",
|
||||
"styled-components": "^6.1.18",
|
||||
"zustand": "^5.0.5"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/markdown-it": "^14.1.2",
|
||||
"@types/react": "^18.3.23",
|
||||
"@types/react-dom": "^18.3.7",
|
||||
"@vitejs/plugin-react-swc": "^3.10.0",
|
||||
"@vitejs/plugin-react-swc": "^3.10.2",
|
||||
"globals": "^16.2.0",
|
||||
"sass": "^1.89.0",
|
||||
"sass": "^1.89.2",
|
||||
"typescript": "~5.8.3",
|
||||
"typescript-eslint": "^8.33.0",
|
||||
"vite": "^6.3.5",
|
||||
"vite-plugin-javascript-obfuscator": "^3.1.0"
|
||||
}
|
||||
|
||||
2199
service-web/client/pnpm-lock.yaml
generated
2199
service-web/client/pnpm-lock.yaml
generated
File diff suppressed because it is too large
Load Diff
BIN
service-web/client/public/fonts/LXGWNeoXiHei.ttf
Normal file
BIN
service-web/client/public/fonts/LXGWNeoXiHei.ttf
Normal file
Binary file not shown.
4
service-web/client/src/index.scss
Normal file
4
service-web/client/src/index.scss
Normal file
@@ -0,0 +1,4 @@
|
||||
// 改写一些amis中控制不到的全局CSS
|
||||
button.btn-deleted:hover {
|
||||
color: #dc2626 !important;
|
||||
}
|
||||
@@ -1,6 +1,6 @@
|
||||
import {createRoot} from 'react-dom/client'
|
||||
import {createHashRouter, RouterProvider} from 'react-router'
|
||||
|
||||
import './index.scss'
|
||||
import './components/Registry.ts'
|
||||
|
||||
import {routes} from './route.tsx'
|
||||
|
||||
@@ -2,6 +2,7 @@ import {ProLayout} from '@ant-design/pro-components'
|
||||
import React from 'react'
|
||||
import {Outlet, useLocation, useNavigate} from 'react-router'
|
||||
import {menus} from '../route.tsx'
|
||||
import {ConfigProvider} from 'antd'
|
||||
|
||||
const App: React.FC = () => {
|
||||
const navigate = useNavigate()
|
||||
@@ -34,7 +35,18 @@ const App: React.FC = () => {
|
||||
style={{minHeight: '100vh'}}
|
||||
contentStyle={{backgroundColor: 'white', padding: '10px 10px 10px 20px'}}
|
||||
>
|
||||
<Outlet/>
|
||||
<ConfigProvider
|
||||
theme={{
|
||||
components: {
|
||||
Card: {
|
||||
bodyPadding: 0,
|
||||
bodyPaddingSM: 0,
|
||||
}
|
||||
}
|
||||
}}
|
||||
>
|
||||
<Outlet/>
|
||||
</ConfigProvider>
|
||||
</ProLayout>
|
||||
)
|
||||
}
|
||||
|
||||
@@ -1,128 +1,486 @@
|
||||
import MarkdownRender from '../util/Markdown.tsx'
|
||||
import {useState} from 'react'
|
||||
import {DeleteFilled, EditFilled, PlusCircleFilled, SaveFilled} from '@ant-design/icons'
|
||||
import {
|
||||
addEdge,
|
||||
applyEdgeChanges,
|
||||
applyNodeChanges,
|
||||
Background,
|
||||
BackgroundVariant,
|
||||
Controls,
|
||||
type Edge,
|
||||
Handle,
|
||||
MiniMap,
|
||||
type Node,
|
||||
type NodeProps,
|
||||
type OnConnect,
|
||||
type OnEdgesChange,
|
||||
type OnNodesChange,
|
||||
Position,
|
||||
ReactFlow,
|
||||
} from '@xyflow/react'
|
||||
import {useMount} from 'ahooks'
|
||||
import type {Schema} from 'amis'
|
||||
import {Button, Card, Drawer, Dropdown, message, Space} from 'antd'
|
||||
import {arrToMap, filter, find, findIdx, isEqual, isNil, randomId} from 'licia'
|
||||
import {type JSX, useState} from 'react'
|
||||
import styled from 'styled-components'
|
||||
import '@xyflow/react/dist/style.css'
|
||||
import {create} from 'zustand/react'
|
||||
import {amisRender, commonInfo} from '../util/amis.tsx'
|
||||
|
||||
// language=Markdown
|
||||
const markdownText = `### Hello
|
||||
const FlowableDiv = styled.div`
|
||||
height: 93vh;
|
||||
|
||||
world
|
||||
tony
|
||||
jenny
|
||||
.toolbar {
|
||||
z-index: 999;
|
||||
position: absolute;
|
||||
}
|
||||
|
||||
\`\`\`javascript
|
||||
console.log('hello')
|
||||
\`\`\`
|
||||
.node-card {
|
||||
cursor: grab;
|
||||
|
||||
\`\`\`mermaid
|
||||
graph TD
|
||||
a-->b;
|
||||
\`\`\`
|
||||
|
||||
\`\`\`mermaid
|
||||
graph TD
|
||||
c-->d;
|
||||
\`\`\`
|
||||
|
||||
\`\`\`chartjs
|
||||
{
|
||||
type: 'bar',
|
||||
data: {
|
||||
labels: ['苹果', '香蕉', '橙子', '葡萄', '菠萝'],
|
||||
datasets: [{
|
||||
label: '水果销量',
|
||||
data: [43, 32, 56, 29, 38],
|
||||
}]
|
||||
},
|
||||
options: {
|
||||
plugins: {
|
||||
legend: {
|
||||
position: 'top',
|
||||
},
|
||||
title: {
|
||||
display: true,
|
||||
text: '水果店周销量数据'
|
||||
}
|
||||
.card-container {
|
||||
cursor: default;
|
||||
}
|
||||
}
|
||||
}
|
||||
\`\`\`
|
||||
`
|
||||
|
||||
\`\`\`chartjs
|
||||
{
|
||||
type: 'bar',
|
||||
data: {
|
||||
labels: ['苹果', '香蕉', '橙子', '葡萄', '菠萝'],
|
||||
datasets: [{
|
||||
label: '水果销量',
|
||||
data: [43, 32, 56, 29, 38],
|
||||
}]
|
||||
},
|
||||
options: {
|
||||
plugins: {
|
||||
legend: {
|
||||
position: 'top',
|
||||
type AmisNodeType = 'normal' | 'start' | 'end'
|
||||
|
||||
const AmisNode = (
|
||||
props: NodeProps,
|
||||
type: AmisNodeType,
|
||||
name: String,
|
||||
description?: String,
|
||||
columnSchema?: Schema[],
|
||||
) => {
|
||||
const {id, data} = props
|
||||
const {getDataById, removeNode, editNode} = data
|
||||
return (
|
||||
<div className="p-1 w-64">
|
||||
<Card
|
||||
className="node-card"
|
||||
title={name}
|
||||
size="small"
|
||||
hoverable
|
||||
>
|
||||
<Dropdown
|
||||
className="card-container"
|
||||
trigger={['contextMenu']}
|
||||
menu={{
|
||||
items: [
|
||||
{
|
||||
key: 'edit',
|
||||
label: '编辑',
|
||||
icon: <EditFilled className="text-gray-600 hover:text-blue-500"/>,
|
||||
},
|
||||
{
|
||||
key: 'remove',
|
||||
label: '删除',
|
||||
icon: <DeleteFilled className="text-red-500 hover:text-red-500"/>,
|
||||
},
|
||||
],
|
||||
onClick: menu => {
|
||||
switch (menu.key) {
|
||||
case 'edit':
|
||||
// @ts-ignore
|
||||
editNode(id, name, description, columnSchema)
|
||||
break
|
||||
case 'remove':
|
||||
// @ts-ignore
|
||||
removeNode(id)
|
||||
break
|
||||
}
|
||||
},
|
||||
title: {
|
||||
display: true,
|
||||
text: '水果店周销量数据'
|
||||
}
|
||||
}
|
||||
}
|
||||
}}
|
||||
>
|
||||
<div className="card-description p-2 text-secondary text-sm">
|
||||
{description}
|
||||
</div>
|
||||
</Dropdown>
|
||||
</Card>
|
||||
{isEqual(type, 'start') || isEqual(type, 'normal')
|
||||
? <Handle type="source" position={Position.Right}/> : undefined}
|
||||
{isEqual(type, 'end') || isEqual(type, 'normal')
|
||||
? <Handle type="target" position={Position.Left}/> : undefined}
|
||||
</div>
|
||||
)
|
||||
}
|
||||
\`\`\`
|
||||
|
||||
\`\`\`echart
|
||||
{
|
||||
grid: { top: 8, right: 8, bottom: 24, left: 36 },
|
||||
xAxis: {
|
||||
type: 'category',
|
||||
data: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'],
|
||||
},
|
||||
yAxis: {
|
||||
type: 'value',
|
||||
},
|
||||
series: [
|
||||
{
|
||||
data: [820, 932, 901, 934, 1290, 1330, 1320],
|
||||
type: 'line',
|
||||
smooth: true,
|
||||
const StartAmisNode = (props: NodeProps) => AmisNode(
|
||||
props,
|
||||
'start',
|
||||
'开始节点',
|
||||
'定义输入变量',
|
||||
[
|
||||
{
|
||||
type: 'input-kvs',
|
||||
name: 'fields',
|
||||
addButtonText: '新增入参',
|
||||
draggable: false,
|
||||
keyItem: {
|
||||
label: '参数名称',
|
||||
},
|
||||
],
|
||||
tooltip: {
|
||||
trigger: 'axis',
|
||||
valueItems: [
|
||||
{
|
||||
type: 'input-text',
|
||||
name: 'description',
|
||||
label: '参数描述',
|
||||
},
|
||||
{
|
||||
type: 'select',
|
||||
name: 'type',
|
||||
label: '参数类型',
|
||||
required: true,
|
||||
selectFirst: true,
|
||||
options: [
|
||||
{
|
||||
label: '文本',
|
||||
value: 'text',
|
||||
},
|
||||
{
|
||||
label: '数字',
|
||||
value: 'number',
|
||||
},
|
||||
{
|
||||
label: '文件',
|
||||
value: 'files',
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
},
|
||||
}
|
||||
\`\`\`
|
||||
],
|
||||
)
|
||||
const EndAmisNode = (props: NodeProps) => AmisNode(
|
||||
props,
|
||||
'end',
|
||||
'结束节点',
|
||||
'定义输出变量',
|
||||
[
|
||||
{
|
||||
type: 'input-kvs',
|
||||
name: 'fields',
|
||||
addButtonText: '新增输出',
|
||||
draggable: false,
|
||||
keyItem: {
|
||||
label: '参数名称',
|
||||
},
|
||||
valueItems: [
|
||||
{
|
||||
type: 'select',
|
||||
name: 'type',
|
||||
label: '参数',
|
||||
required: true,
|
||||
selectFirst: true,
|
||||
options: [],
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
)
|
||||
const LlmAmisNode = (props: NodeProps) => AmisNode(
|
||||
props,
|
||||
'normal',
|
||||
'大模型节点',
|
||||
'使用大模型对话',
|
||||
[
|
||||
{
|
||||
type: 'select',
|
||||
name: 'model',
|
||||
label: '大模型',
|
||||
required: true,
|
||||
selectFirst: true,
|
||||
options: [
|
||||
{
|
||||
label: 'Qwen3',
|
||||
value: 'qwen3',
|
||||
},
|
||||
{
|
||||
label: 'Deepseek',
|
||||
value: 'deepseek',
|
||||
},
|
||||
],
|
||||
},
|
||||
{
|
||||
type: 'textarea',
|
||||
name: 'systemPrompt',
|
||||
label: '系统提示词',
|
||||
required: true,
|
||||
},
|
||||
],
|
||||
)
|
||||
|
||||
\`\`\`echart
|
||||
{
|
||||
grid: { top: 8, right: 8, bottom: 24, left: 36 },
|
||||
xAxis: {
|
||||
type: 'category',
|
||||
data: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'],
|
||||
},
|
||||
yAxis: {
|
||||
type: 'value',
|
||||
},
|
||||
series: [
|
||||
{
|
||||
data: [820, 932, 901, 934, 1290, 1330, 1320],
|
||||
type: 'line',
|
||||
smooth: true,
|
||||
},
|
||||
],
|
||||
tooltip: {
|
||||
trigger: 'axis',
|
||||
},
|
||||
}
|
||||
\`\`\``
|
||||
const initialNodes: Node[] = [
|
||||
{
|
||||
id: 'BMFP3Eov94',
|
||||
type: 'start-amis-node',
|
||||
position: {x: 10, y: 100},
|
||||
data: {},
|
||||
},
|
||||
{
|
||||
id: 'PYK8LjduQ1',
|
||||
type: 'end-amis-node',
|
||||
position: {x: 500, y: 100},
|
||||
data: {},
|
||||
},
|
||||
]
|
||||
const initialEdges: Edge[] = []
|
||||
|
||||
const useStore = create<{
|
||||
data: Record<string, any>,
|
||||
getData: () => Record<string, any>,
|
||||
setData: (data: Record<string, any>) => void,
|
||||
getDataById: (id: string) => any,
|
||||
setDataById: (id: string, data: any) => void,
|
||||
}>((set, get) => ({
|
||||
data: {},
|
||||
getData: () => get().data,
|
||||
setData: (data) => set(data),
|
||||
getDataById: id => get().data[id],
|
||||
setDataById: (id, data) => {
|
||||
let updateData = get().data
|
||||
updateData[id] = data
|
||||
set({
|
||||
data: updateData,
|
||||
})
|
||||
},
|
||||
}))
|
||||
|
||||
const useFlowStore = create<{
|
||||
nodes: Node[],
|
||||
onNodesChange: OnNodesChange,
|
||||
addNode: (node: Node) => void,
|
||||
removeNode: (id: string) => void,
|
||||
setNodes: (nodes: Node[]) => void,
|
||||
|
||||
edges: Edge[],
|
||||
onEdgesChange: OnEdgesChange,
|
||||
setEdges: (edges: Edge[]) => void,
|
||||
|
||||
onConnect: OnConnect,
|
||||
}>((set, get) => ({
|
||||
nodes: [],
|
||||
onNodesChange: changes => {
|
||||
set({
|
||||
nodes: applyNodeChanges(changes, get().nodes),
|
||||
})
|
||||
},
|
||||
addNode: node => set({nodes: get().nodes.concat(node)}),
|
||||
removeNode: id => {
|
||||
set({
|
||||
nodes: filter(get().nodes, node => !isEqual(node.id, id)),
|
||||
})
|
||||
},
|
||||
setNodes: nodes => set({nodes}),
|
||||
|
||||
edges: [],
|
||||
onEdgesChange: changes => {
|
||||
set({
|
||||
edges: applyEdgeChanges(changes, get().edges),
|
||||
})
|
||||
},
|
||||
setEdges: edges => set({edges}),
|
||||
|
||||
onConnect: connection => {
|
||||
set({
|
||||
edges: addEdge(connection, get().edges),
|
||||
})
|
||||
},
|
||||
}))
|
||||
|
||||
function Test() {
|
||||
const [value, setValue] = useState<string>(markdownText)
|
||||
const [messageApi, contextHolder] = message.useMessage()
|
||||
const [nodeDef] = useState<{
|
||||
key: string,
|
||||
name: string,
|
||||
component: (props: NodeProps) => JSX.Element
|
||||
}[]>([
|
||||
{
|
||||
key: 'start-amis-node',
|
||||
name: '开始',
|
||||
component: StartAmisNode,
|
||||
},
|
||||
{
|
||||
key: 'end-amis-node',
|
||||
name: '结束',
|
||||
component: EndAmisNode,
|
||||
},
|
||||
{
|
||||
key: 'llm-amis-node',
|
||||
name: '大模型',
|
||||
component: LlmAmisNode,
|
||||
},
|
||||
])
|
||||
const [open, setOpen] = useState(false)
|
||||
|
||||
const {getData, getDataById, setDataById} = useStore()
|
||||
const {
|
||||
nodes,
|
||||
addNode,
|
||||
removeNode,
|
||||
setNodes,
|
||||
onNodesChange,
|
||||
edges,
|
||||
setEdges,
|
||||
onEdgesChange,
|
||||
onConnect,
|
||||
} = useFlowStore()
|
||||
|
||||
const [currentNodeForm, setCurrentNodeForm] = useState<JSX.Element>()
|
||||
const editNode = (id: string, name: string, description: string, columnSchema?: Schema[]) => {
|
||||
if (!isNil(columnSchema)) {
|
||||
setCurrentNodeForm(
|
||||
amisRender(
|
||||
{
|
||||
type: 'wrapper',
|
||||
size: 'none',
|
||||
body: [
|
||||
{
|
||||
type: 'tpl',
|
||||
className: 'text-secondary',
|
||||
tpl: description,
|
||||
},
|
||||
{
|
||||
debug: commonInfo.debug,
|
||||
title: name,
|
||||
type: 'form',
|
||||
wrapWithPanel: false,
|
||||
onEvent: {
|
||||
submitSucc: {
|
||||
actions: [
|
||||
{
|
||||
actionType: 'custom',
|
||||
// @ts-ignore
|
||||
script: (context, action, event) => {
|
||||
setDataById(id, context.props.data)
|
||||
setOpen(false)
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
},
|
||||
body: [
|
||||
...(columnSchema ?? []),
|
||||
{
|
||||
type: 'wrapper',
|
||||
size: 'none',
|
||||
className: 'space-x-1 float-right',
|
||||
body: [
|
||||
{
|
||||
type: 'action',
|
||||
label: '取消',
|
||||
onEvent: {
|
||||
click: {
|
||||
actions: [
|
||||
{
|
||||
actionType: 'custom',
|
||||
// @ts-ignore
|
||||
script: (context, action, event) => {
|
||||
setOpen(false)
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
},
|
||||
},
|
||||
{
|
||||
type: 'submit',
|
||||
label: '保存',
|
||||
level: 'primary',
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
},
|
||||
]
|
||||
},
|
||||
getDataById(id),
|
||||
),
|
||||
)
|
||||
setOpen(true)
|
||||
}
|
||||
}
|
||||
|
||||
useMount(() => {
|
||||
for (let node of initialNodes) {
|
||||
node.data = {
|
||||
getDataById,
|
||||
setDataById,
|
||||
removeNode,
|
||||
editNode,
|
||||
}
|
||||
}
|
||||
setNodes(initialNodes)
|
||||
setEdges(initialEdges)
|
||||
})
|
||||
|
||||
return (
|
||||
<>
|
||||
<button onClick={() => setValue('hahaha\n' + markdownText)}>Button</button>
|
||||
<MarkdownRender content={value}/>
|
||||
</>
|
||||
<FlowableDiv>
|
||||
{contextHolder}
|
||||
<Space className="toolbar">
|
||||
<Button type="primary" onClick={() => console.log(JSON.stringify(getData()))}>
|
||||
<SaveFilled/>
|
||||
保存
|
||||
</Button>
|
||||
<Dropdown
|
||||
menu={{
|
||||
items: nodeDef.map(def => ({key: def.key, label: def.name})),
|
||||
onClick: ({key}) => {
|
||||
if (isEqual(key, 'start-amis-node') && findIdx(nodes, (node: Node) => isEqual(key, node.type)) > -1) {
|
||||
messageApi.error('只能存在1个开始节点')
|
||||
return
|
||||
}
|
||||
if (isEqual(key, 'end-amis-node') && findIdx(nodes, (node: Node) => isEqual(key, node.type)) > -1) {
|
||||
messageApi.error('只能存在1个结束节点')
|
||||
return
|
||||
}
|
||||
|
||||
addNode({
|
||||
id: randomId(10),
|
||||
type: key,
|
||||
position: {x: 100, y: 100},
|
||||
data: {
|
||||
getDataById,
|
||||
setDataById,
|
||||
removeNode,
|
||||
editNode,
|
||||
},
|
||||
})
|
||||
},
|
||||
}}
|
||||
>
|
||||
<Button type="dashed">
|
||||
<PlusCircleFilled/>
|
||||
新增节点
|
||||
</Button>
|
||||
</Dropdown>
|
||||
</Space>
|
||||
<Drawer
|
||||
title="节点编辑"
|
||||
open={open}
|
||||
closeIcon={false}
|
||||
maskClosable={false}
|
||||
destroyOnHidden
|
||||
>
|
||||
{currentNodeForm}
|
||||
</Drawer>
|
||||
<ReactFlow
|
||||
nodes={nodes}
|
||||
edges={edges}
|
||||
onNodesChange={onNodesChange}
|
||||
onEdgesChange={onEdgesChange}
|
||||
onConnect={onConnect}
|
||||
// @ts-ignore
|
||||
nodeTypes={arrToMap(
|
||||
nodeDef.map(def => def.key),
|
||||
key => find(nodeDef, def => isEqual(key, def.key))!.component)
|
||||
}
|
||||
>
|
||||
<Controls/>
|
||||
<MiniMap/>
|
||||
<Background variant={BackgroundVariant.Cross} gap={20} size={3}/>
|
||||
</ReactFlow>
|
||||
</FlowableDiv>
|
||||
)
|
||||
}
|
||||
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
import {ClearOutlined, UserOutlined} from '@ant-design/icons'
|
||||
import {Bubble, Sender, useXAgent, useXChat, Welcome} from '@ant-design/x'
|
||||
import {fetchEventSource} from '@echofly/fetch-event-source'
|
||||
import {useUnmount} from 'ahooks'
|
||||
import {Button, Collapse, Flex, Typography} from 'antd'
|
||||
import {isStrBlank, trim} from 'licia'
|
||||
import {useRef, useState} from 'react'
|
||||
@@ -40,6 +41,11 @@ function Conversation() {
|
||||
const abortController = useRef<AbortController | null>(null)
|
||||
const [input, setInput] = useState<string>('')
|
||||
|
||||
useUnmount(() => {
|
||||
console.log('Page Unmount')
|
||||
abortController.current?.abort()
|
||||
})
|
||||
|
||||
const [agent] = useXAgent<ChatMessage>({
|
||||
request: async (info, callbacks) => {
|
||||
await fetchEventSource(`${commonInfo.baseAiUrl}/chat/async`, {
|
||||
@@ -55,6 +61,7 @@ function Conversation() {
|
||||
})
|
||||
},
|
||||
onclose: () => callbacks.onSuccess([]),
|
||||
onerror: error => callbacks.onError(error),
|
||||
})
|
||||
},
|
||||
})
|
||||
|
||||
@@ -1,9 +1,27 @@
|
||||
import React from 'react'
|
||||
import {amisRender, commonInfo, crudCommonOptions} from '../../../util/amis.tsx'
|
||||
import styled from 'styled-components'
|
||||
import {amisRender, commonInfo, crudCommonOptions, mappingField, mappingItem} from '../../../util/amis.tsx'
|
||||
|
||||
const FeedbackDiv = styled.div`
|
||||
.feedback-list-images {
|
||||
margin-top: 10px;
|
||||
|
||||
.antd-Img-container {
|
||||
width: 32px;
|
||||
height: 32px;
|
||||
}
|
||||
}
|
||||
`
|
||||
|
||||
const statusMapping = [
|
||||
mappingItem('分析中', 'ANALYSIS_PROCESSING', 'label-warning'),
|
||||
mappingItem('分析完成', 'ANALYSIS_SUCCESS', 'label-primary'),
|
||||
mappingItem('处理完成', 'FINISHED', 'label-success'),
|
||||
]
|
||||
|
||||
const Feedback: React.FC = () => {
|
||||
return (
|
||||
<div className="feedback">
|
||||
<FeedbackDiv className="feedback">
|
||||
{amisRender(
|
||||
{
|
||||
type: 'page',
|
||||
@@ -28,10 +46,7 @@ const Feedback: React.FC = () => {
|
||||
body: {
|
||||
debug: commonInfo.debug,
|
||||
type: 'form',
|
||||
api: {
|
||||
url: `${commonInfo.baseAiUrl}/feedback/add`,
|
||||
dataType: 'form',
|
||||
},
|
||||
api: `${commonInfo.baseAiUrl}/feedback/add`,
|
||||
body: [
|
||||
{
|
||||
type: 'editor',
|
||||
@@ -50,12 +65,14 @@ const Feedback: React.FC = () => {
|
||||
label: '相关截图',
|
||||
autoUpload: false,
|
||||
multiple: true,
|
||||
joinValues: false,
|
||||
extractValue: true,
|
||||
// 5MB 5242880
|
||||
// 100MB 104857600
|
||||
// 500MB 524288000
|
||||
// 1GB 1073741824
|
||||
maxSize: 5242880,
|
||||
receiver: `${commonInfo.baseAiUrl}/upload`
|
||||
receiver: `${commonInfo.baseAiUrl}/upload`,
|
||||
},
|
||||
],
|
||||
},
|
||||
@@ -66,21 +83,141 @@ const Feedback: React.FC = () => {
|
||||
{
|
||||
name: 'id',
|
||||
label: '编号',
|
||||
width: 150,
|
||||
},
|
||||
{
|
||||
label: '故障描述',
|
||||
type: 'flex',
|
||||
direction: 'column',
|
||||
items: [
|
||||
{
|
||||
type: 'tpl',
|
||||
className: 'white-space-pre',
|
||||
tpl: '${source}',
|
||||
},
|
||||
{
|
||||
className: 'feedback-list-images',
|
||||
type: 'images',
|
||||
enlargeAble: true,
|
||||
enlargeWithGallary: true,
|
||||
source: '${pictures}',
|
||||
showToolbar: true,
|
||||
},
|
||||
],
|
||||
},
|
||||
{
|
||||
name: 'status',
|
||||
label: '状态',
|
||||
width: 80,
|
||||
align: 'center',
|
||||
...mappingField('status', statusMapping),
|
||||
},
|
||||
{
|
||||
type: 'operation',
|
||||
label: '操作',
|
||||
width: 150,
|
||||
width: 200,
|
||||
buttons: [
|
||||
{
|
||||
visibleOn: '${status === \'ANALYSIS_SUCCESS\'}',
|
||||
type: 'action',
|
||||
label: '重新分析',
|
||||
level: 'link',
|
||||
size: 'sm',
|
||||
actionType: 'ajax',
|
||||
api: {
|
||||
method: 'get',
|
||||
url: `${commonInfo.baseAiUrl}/feedback/reanalysis`,
|
||||
data: {
|
||||
id: '${id}',
|
||||
},
|
||||
},
|
||||
confirmText: '确认执行重新分析?',
|
||||
confirmTitle: '重新分析',
|
||||
},
|
||||
{
|
||||
disabledOn: '${status === \'ANALYSIS_PROCESSING\'}',
|
||||
type: 'action',
|
||||
label: '详情',
|
||||
level: 'link',
|
||||
size: 'sm',
|
||||
actionType: 'dialog',
|
||||
dialog: {
|
||||
title: '报障详情',
|
||||
size: 'lg',
|
||||
closeOnOutside: true,
|
||||
actions: [
|
||||
{
|
||||
visibleOn: '${status !== \'FINISHED\'}',
|
||||
type: 'action',
|
||||
actionType: 'close',
|
||||
label: '取消',
|
||||
},
|
||||
{
|
||||
visibleOn: '${status !== \'FINISHED\'}',
|
||||
type: 'submit',
|
||||
label: '确认',
|
||||
level: 'primary',
|
||||
},
|
||||
],
|
||||
body: {
|
||||
debug: commonInfo.debug,
|
||||
type: 'form',
|
||||
mode: 'normal',
|
||||
api: {
|
||||
method: 'post',
|
||||
url: `${commonInfo.baseAiUrl}/feedback/conclude`,
|
||||
data: {
|
||||
id: '${id}',
|
||||
conclusion: '${conclusion|default:undefined}',
|
||||
},
|
||||
},
|
||||
body: [
|
||||
{
|
||||
type: 'textarea',
|
||||
name: 'source',
|
||||
label: '报障描述',
|
||||
static: true,
|
||||
},
|
||||
{
|
||||
type: 'control',
|
||||
name: 'pictures',
|
||||
label: '相关截图',
|
||||
body: {
|
||||
type: 'images',
|
||||
enlargeAble: true,
|
||||
enlargeWithGallary: true,
|
||||
showToolbar: true,
|
||||
},
|
||||
},
|
||||
{
|
||||
type: 'control',
|
||||
name: 'analysis',
|
||||
label: 'AI辅助分析',
|
||||
body: {
|
||||
type: 'markdown',
|
||||
},
|
||||
},
|
||||
{
|
||||
visibleOn: '${status !== \'FINISHED\'}',
|
||||
type: 'textarea',
|
||||
name: 'conclusion',
|
||||
label: '结论',
|
||||
},
|
||||
{
|
||||
visibleOn: '${status === \'FINISHED\'}',
|
||||
type: 'textarea',
|
||||
name: 'conclusion',
|
||||
label: '结论',
|
||||
static: true,
|
||||
},
|
||||
],
|
||||
},
|
||||
},
|
||||
},
|
||||
{
|
||||
disabledOn: '${status === \'ANALYSIS_PROCESSING\'}',
|
||||
type: 'action',
|
||||
label: '删除',
|
||||
className: 'text-danger hover:text-red-600',
|
||||
className: 'text-danger btn-deleted',
|
||||
level: 'link',
|
||||
size: 'sm',
|
||||
actionType: 'ajax',
|
||||
@@ -91,8 +228,8 @@ const Feedback: React.FC = () => {
|
||||
id: '${id}',
|
||||
},
|
||||
},
|
||||
confirmText: '确认删除',
|
||||
confirmTitle: '删除',
|
||||
confirmText: '删除后将无法恢复,确认删除?',
|
||||
},
|
||||
],
|
||||
},
|
||||
@@ -101,7 +238,7 @@ const Feedback: React.FC = () => {
|
||||
],
|
||||
},
|
||||
)}
|
||||
</div>
|
||||
</FeedbackDiv>
|
||||
)
|
||||
}
|
||||
|
||||
|
||||
@@ -142,7 +142,7 @@ const DataDetail: React.FC = () => {
|
||||
{
|
||||
type: 'action',
|
||||
label: '删除',
|
||||
className: 'text-danger hover:text-red-600',
|
||||
className: 'text-danger btn-deleted',
|
||||
level: 'link',
|
||||
size: 'sm',
|
||||
actionType: 'ajax',
|
||||
|
||||
@@ -87,7 +87,7 @@ const DataDetail: React.FC = () => {
|
||||
{
|
||||
type: 'action',
|
||||
label: '删除',
|
||||
className: 'text-danger hover:text-red-600',
|
||||
className: 'text-danger btn-deleted',
|
||||
level: 'link',
|
||||
size: 'sm',
|
||||
actionType: 'ajax',
|
||||
|
||||
@@ -50,12 +50,20 @@ const Knowledge: React.FC = () => {
|
||||
type: 'input-text',
|
||||
name: 'name',
|
||||
label: '名称',
|
||||
required: true,
|
||||
},
|
||||
{
|
||||
type: 'textarea',
|
||||
name: 'description',
|
||||
label: '描述',
|
||||
required: true,
|
||||
},
|
||||
{
|
||||
type: 'select',
|
||||
name: 'strategy',
|
||||
label: '类型',
|
||||
value: 'Cosine',
|
||||
required: true,
|
||||
options: [
|
||||
{
|
||||
label: '文本',
|
||||
@@ -77,6 +85,11 @@ const Knowledge: React.FC = () => {
|
||||
{
|
||||
name: 'name',
|
||||
label: '名称',
|
||||
width: 200,
|
||||
},
|
||||
{
|
||||
name: 'description',
|
||||
label: '描述',
|
||||
},
|
||||
{
|
||||
label: '类型',
|
||||
@@ -99,8 +112,41 @@ const Knowledge: React.FC = () => {
|
||||
{
|
||||
type: 'operation',
|
||||
label: '操作',
|
||||
width: 150,
|
||||
width: 200,
|
||||
buttons: [
|
||||
{
|
||||
type: 'action',
|
||||
label: '更新',
|
||||
level: 'link',
|
||||
size: 'sm',
|
||||
actionType: 'dialog',
|
||||
dialog: {
|
||||
title: '更新描述',
|
||||
body: {
|
||||
debug: commonInfo.debug,
|
||||
type: 'form',
|
||||
api: {
|
||||
method: 'post',
|
||||
url: `${commonInfo.baseAiUrl}/knowledge/update_description`,
|
||||
dataType: 'form',
|
||||
},
|
||||
mode: 'normal',
|
||||
body: [
|
||||
{
|
||||
type: 'hidden',
|
||||
name: "id",
|
||||
// value: '${id}',
|
||||
},
|
||||
{
|
||||
type: 'textarea',
|
||||
name: 'description',
|
||||
label: '描述',
|
||||
required: true,
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
type: 'action',
|
||||
label: '详情',
|
||||
@@ -142,7 +188,7 @@ const Knowledge: React.FC = () => {
|
||||
{
|
||||
type: 'action',
|
||||
label: '删除',
|
||||
className: 'text-danger hover:text-red-600',
|
||||
className: 'text-danger btn-deleted',
|
||||
level: 'link',
|
||||
size: 'sm',
|
||||
actionType: 'ajax',
|
||||
|
||||
@@ -169,7 +169,7 @@ const tableDetailDialog = (variable: string, targetList: any) => {
|
||||
|
||||
const overviewYarnJob = (cluster: string, search: string, queue: string | undefined, yarnQueue: string) => {
|
||||
return {
|
||||
className: 'text-base leading-none',
|
||||
className: 'text-sm leading-none',
|
||||
type: 'table-view',
|
||||
border: false,
|
||||
padding: '0 10px 0 15px',
|
||||
|
||||
@@ -91,7 +91,7 @@ function Table() {
|
||||
columns: [
|
||||
{
|
||||
label: 'Flink job id',
|
||||
width: 195,
|
||||
width: 200,
|
||||
fixed: 'left',
|
||||
type: 'wrapper',
|
||||
size: 'none',
|
||||
|
||||
@@ -99,7 +99,7 @@ function Version() {
|
||||
columns: [
|
||||
{
|
||||
label: 'Flink job id',
|
||||
width: 195,
|
||||
width: 200,
|
||||
fixed: 'left',
|
||||
type: 'wrapper',
|
||||
size: 'none',
|
||||
|
||||
@@ -1,16 +1,16 @@
|
||||
import React from 'react'
|
||||
import {useLocation, useParams} from 'react-router'
|
||||
import {
|
||||
amisRender,
|
||||
commonInfo,
|
||||
crudCommonOptions,
|
||||
paginationCommonOptions,
|
||||
yarnCrudColumns,
|
||||
yarnQueueCrud,
|
||||
amisRender,
|
||||
commonInfo,
|
||||
crudCommonOptions,
|
||||
paginationCommonOptions,
|
||||
yarnCrudColumns,
|
||||
yarnQueueCrud,
|
||||
} from '../../util/amis.tsx'
|
||||
|
||||
const Yarn: React.FC = () => {
|
||||
const {clusters, queue, search} = useParams()
|
||||
const {clusters, queues, search} = useParams()
|
||||
const location = useLocation()
|
||||
return (
|
||||
<div key={location.key} className="hudi-yarn">
|
||||
@@ -27,7 +27,7 @@ const Yarn: React.FC = () => {
|
||||
type: 'tpl',
|
||||
tpl: '<span class="font-bold text-xl">集群资源</span>',
|
||||
},
|
||||
yarnQueueCrud(clusters, queue),
|
||||
yarnQueueCrud(clusters, queues),
|
||||
{
|
||||
type: 'tpl',
|
||||
tpl: '<span class="font-bold text-xl">集群任务</span>',
|
||||
|
||||
@@ -1,19 +1,21 @@
|
||||
import {
|
||||
CheckSquareOutlined,
|
||||
CloudOutlined,
|
||||
ClusterOutlined,
|
||||
CompressOutlined,
|
||||
DatabaseOutlined,
|
||||
InfoCircleOutlined,
|
||||
OpenAIOutlined,
|
||||
QuestionOutlined,
|
||||
SunOutlined,
|
||||
SyncOutlined,
|
||||
TableOutlined,
|
||||
ToolOutlined,
|
||||
CheckSquareOutlined,
|
||||
CloudOutlined,
|
||||
ClusterOutlined,
|
||||
CompressOutlined,
|
||||
DatabaseOutlined,
|
||||
InfoCircleOutlined,
|
||||
OpenAIOutlined,
|
||||
QuestionOutlined,
|
||||
SunOutlined,
|
||||
SyncOutlined,
|
||||
TableOutlined,
|
||||
ToolOutlined,
|
||||
} from '@ant-design/icons'
|
||||
import {values} from 'licia'
|
||||
import {Navigate, type RouteObject} from 'react-router'
|
||||
import Conversation from './pages/ai/Conversation.tsx'
|
||||
import Feedback from './pages/ai/feedback/Feedback.tsx'
|
||||
import DataDetail from './pages/ai/knowledge/DataDetail.tsx'
|
||||
import DataImport from './pages/ai/knowledge/DataImport.tsx'
|
||||
import DataSegment from './pages/ai/knowledge/DataSegment.tsx'
|
||||
@@ -28,9 +30,8 @@ import Tool from './pages/overview/Tool.tsx'
|
||||
import Version from './pages/overview/Version.tsx'
|
||||
import Yarn from './pages/overview/Yarn.tsx'
|
||||
import YarnCluster from './pages/overview/YarnCluster.tsx'
|
||||
import {commonInfo} from './util/amis.tsx'
|
||||
import Test from './pages/Test.tsx'
|
||||
import Feedback from './pages/ai/feedback/Feedback.tsx'
|
||||
import {commonInfo} from './util/amis.tsx'
|
||||
|
||||
export const routes: RouteObject[] = [
|
||||
{
|
||||
@@ -58,7 +59,7 @@ export const routes: RouteObject[] = [
|
||||
Component: Version,
|
||||
},
|
||||
{
|
||||
path: 'yarn/:clusters/:queue/:search?',
|
||||
path: 'yarn/:clusters/:queues/:search?',
|
||||
Component: Yarn,
|
||||
},
|
||||
{
|
||||
@@ -146,12 +147,12 @@ export const menus = {
|
||||
icon: <SunOutlined/>,
|
||||
},
|
||||
{
|
||||
path: `/yarn/${commonInfo.clusters.sync_names()}/root/Sync`,
|
||||
path: `/yarn/${commonInfo.clusters.sync_names()}/default/Sync`,
|
||||
name: '同步集群',
|
||||
icon: <SyncOutlined/>,
|
||||
},
|
||||
{
|
||||
path: `/yarn/${commonInfo.clusters.compaction_names()}/default/Compaction`,
|
||||
path: `/yarn/${commonInfo.clusters.compaction_names()}/${values(commonInfo.clusters.compaction).join(",")}/Compaction`,
|
||||
name: '压缩集群',
|
||||
icon: <SyncOutlined/>,
|
||||
},
|
||||
@@ -202,7 +203,7 @@ export const menus = {
|
||||
},
|
||||
{
|
||||
path: '/ai/feedback',
|
||||
name: '智慧报账',
|
||||
name: '智慧报障',
|
||||
icon: <CheckSquareOutlined/>,
|
||||
},
|
||||
{
|
||||
|
||||
@@ -10,8 +10,8 @@ import {isEqual} from 'licia'
|
||||
export const commonInfo = {
|
||||
debug: isEqual(import.meta.env.MODE, 'development'),
|
||||
baseUrl: 'http://132.126.207.130:35690/hudi_services/service_web',
|
||||
// baseAiUrl: 'http://132.126.207.130:35690/hudi_services/service_ai_web',
|
||||
baseAiUrl: 'http://localhost:8080',
|
||||
baseAiUrl: 'http://132.126.207.130:35690/hudi_services/service_ai_web',
|
||||
// baseAiUrl: 'http://localhost:8080',
|
||||
authorizationHeaders: {
|
||||
'Authorization': 'Basic QXhoRWJzY3dzSkRiWU1IMjpjWXhnM2I0UHRXb1ZENVNqRmF5V3h0blNWc2p6UnNnNA==',
|
||||
'Content-Type': 'application/json',
|
||||
@@ -281,6 +281,7 @@ export function crudCommonOptions() {
|
||||
resizable: false,
|
||||
syncLocation: false,
|
||||
silentPolling: true,
|
||||
columnsTogglable: false,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -903,7 +904,7 @@ export function simpleYarnDialog(cluster: string, title: string, filterField: st
|
||||
type: 'crud',
|
||||
api: {
|
||||
method: 'get',
|
||||
url: `\${base}/yarn/job_list`,
|
||||
url: `${commonInfo.baseUrl}/yarn/job_list`,
|
||||
data: {
|
||||
clusters: `${cluster}`,
|
||||
page: '${page|default:undefined}',
|
||||
|
||||
@@ -1,5 +1,7 @@
|
||||
server:
|
||||
port: 0
|
||||
compression:
|
||||
enabled: true
|
||||
spring:
|
||||
application:
|
||||
name: service-web
|
||||
|
||||
Reference in New Issue
Block a user