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autoflow-server-mgmt/src/main/java/kr/re/etri/autoflow/controllers/MlflowController.java

48 lines
1.8 KiB

package kr.re.etri.autoflow.controllers;
import io.swagger.v3.oas.annotations.Operation;
import io.swagger.v3.oas.annotations.tags.Tag;
import org.springframework.http.MediaType;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.*;
import org.springframework.web.reactive.function.client.WebClient;
import reactor.core.publisher.Mono;
import java.util.Collections;
import java.util.Map;
@Tag(name = "MLflow API", description = "MLflow Experiment 및 Run 조회 API")
@RestController
@RequestMapping("/api/mlflow")
public class MlflowController {
private final WebClient webClient;
public MlflowController() {
this.webClient = WebClient.builder()
.baseUrl("http://192.168.10.135:30128/api/2.0/mlflow")
.defaultHeaders(headers -> headers.setBasicAuth("user", "LImQa2Me37nu"))
.build();
}
@Operation(summary = "Experiment의 Run 목록 조회", description = "주어진 Experiment ID의 Run을 최대 1000개까지 조회합니다.")
@GetMapping(value = "/runs", produces = MediaType.APPLICATION_JSON_VALUE)
public Mono<ResponseEntity<String>> getRuns(@RequestParam String experimentId) {
Map<String, Object> body = Map.of(
"experiment_ids", Collections.singletonList(experimentId),
"order_by", Collections.singletonList("attribute.start_time DESC"),
"max_results", 1000
);
return webClient.post()
.uri("/runs/search")
.contentType(MediaType.APPLICATION_JSON)
.bodyValue(body)
.retrieve()
.bodyToMono(String.class)
.map(ResponseEntity::ok)
.onErrorResume(e -> Mono.just(ResponseEntity.internalServerError().body(e.getMessage())));
}
}