list of assessments #85
@ -19,7 +19,7 @@ public class Route {
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public static final String STATISTIC = "statistic";
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public static final String LIST_RULE = "listRules";
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public static final String ADD_RULE = "addRule";
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public static final String RECOMMENDATIONS = "recommendations";
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public static final String ASSESSMENTS = "assessments";
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public static final String DELETE_RULE = "deleteRule";
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public static String getLIST_INDEXED_REPOSITORIES() {
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@ -42,7 +42,7 @@ public class Route {
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return STATISTIC;
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}
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public static String getRECOMMENDATIONS() {
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return RECOMMENDATIONS;
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public static String getASSESSMENTS() {
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return ASSESSMENTS;
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}
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}
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@ -11,7 +11,7 @@ import springfox.documentation.annotations.ApiIgnore;
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import java.util.Optional;
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import static ru.ulstu.extractor.core.Route.RECOMMENDATIONS;
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import static ru.ulstu.extractor.core.Route.ASSESSMENTS;
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@Controller
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@ApiIgnore
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@ -25,15 +25,15 @@ public class RecommendationController {
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this.branchService = branchService;
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}
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@GetMapping(RECOMMENDATIONS)
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@GetMapping(ASSESSMENTS)
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public String getRecommendations(Model model, @RequestParam Optional<Integer> branchId) {
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model.addAttribute("branches", branchService.findAll());
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if (branchId.isPresent()) {
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model.addAttribute("recommendations", fuzzyInferenceService.getRecommendations(branchId.get()));
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model.addAttribute("assessments", fuzzyInferenceService.getAssessments(branchId.get()));
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model.addAttribute("filterBranchForm", new FilterBranchForm(branchId.get()));
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} else {
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model.addAttribute("filterBranchForm", new FilterBranchForm());
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}
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return RECOMMENDATIONS;
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return ASSESSMENTS;
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}
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}
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@ -0,0 +1,31 @@
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package ru.ulstu.extractor.recommendation.model;
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import ru.ulstu.extractor.ts.model.TimeSeriesType;
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public class Assessment {
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private String consequent;
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private TimeSeriesType firstAntecedent;
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private String firstAntecedentTendency;
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private TimeSeriesType secondAntecedent;
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private String secondAntecedentTendency;
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public String getConsequent() {
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return consequent;
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}
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public TimeSeriesType getFirstAntecedent() {
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return firstAntecedent;
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}
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public String getFirstAntecedentTendency() {
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return firstAntecedentTendency;
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}
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public TimeSeriesType getSecondAntecedent() {
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return secondAntecedent;
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}
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public String getSecondAntecedentTendency() {
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return secondAntecedentTendency;
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}
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}
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@ -109,7 +109,7 @@ public class FuzzyInferenceService {
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return engine;
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}
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public String getRecommendations(Integer branchId) {
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public String getAssessments(Integer branchId) {
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List<TimeSeries> timeSeries = timeSeriesService.getByBranch(branchId);
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Engine engine = getFuzzyEngine();
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List<AntecedentValue> antecedentValues = antecedentValueService.getList();
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