package com.keyware.composeanalysis.task;


import cn.hutool.core.collection.CollectionUtil;
import cn.hutool.core.lang.Pair;
import com.alibaba.fastjson.JSONArray;
import com.keyware.composeanalysis.constant.FixedValue;
import com.keyware.composeanalysis.constant.FunctionAndAnalysisAssemblyConst;
import com.keyware.composeanalysis.constant.RedisConst;
import com.keyware.composeanalysis.constant.SolrDBConst;
import com.keyware.composeanalysis.constant.enums.AnalysisLevelEnum;
import com.keyware.composeanalysis.constant.enums.AnalysisStatusEnum;
import com.keyware.composeanalysis.constant.enums.FileAnalysisStatusEnum;
import com.keyware.composeanalysis.entity.AnalysisTask;
import com.keyware.composeanalysis.mongo.FileDataMongoDto;
import com.keyware.composeanalysis.mongo.LineDataMongoDto;
import com.keyware.composeanalysis.mongo.MatchOpenFile;
import com.keyware.composeanalysis.mongo.MatchOpenFileMongoDto;
import com.keyware.composeanalysis.solr.VersionTree;
import com.keyware.composeanalysis.util.*;
import com.keyware.keyswan.anaysis.Analysis;
import com.keyware.keyswan.anaysis.AnalysisFactory;
import com.keyware.keyswan.common.CodeFile;
import com.keyware.keyswan.common.LineModel;
import com.keyware.utils.IdGenerator;
import lombok.extern.log4j.Log4j2;
import org.apache.commons.lang3.StringUtils;
import org.apache.solr.common.SolrDocument;
import org.apache.solr.common.SolrDocumentList;
import org.springframework.data.mongodb.core.MongoTemplate;
import org.springframework.data.mongodb.core.query.Update;

import java.math.BigDecimal;
import java.math.RoundingMode;
import java.util.*;
import java.util.concurrent.CountDownLatch;
import java.util.stream.Collectors;
import java.util.stream.Stream;

import static com.keyware.composeanalysis.util.SimilarityUtil.getOpenRateAndSaveRowNum;
import static org.springframework.data.mongodb.core.query.Criteria.where;

/**
 * @author liuzongren
 * @ClassName LineAnalysisTask
 * @description: 代码块级别溯源 任务
 * @datetime 2024年 07月 25日 16:19
 * @version: 1.0
 */

@Log4j2
public class CodeBlockAnalysisTask extends IAnalysisTask {

    private MongoTemplate mongoTemplate;
    private AnalysisTask analysisTask;
    //被测件的文件信息
    private FileDataMongoDto analysisFile;

    private SolrUtils solrUtils;

    private RedisUtil redisUtil;

    private CountDownLatch countDownLatch;

    public CodeBlockAnalysisTask(AnalysisTask analysisTask, FileDataMongoDto analysisFile, MongoTemplate mongoTemplate, CountDownLatch countDownLatch) {
        this.mongoTemplate = mongoTemplate;
        this.analysisTask = analysisTask;
        this.analysisFile = analysisFile;
        this.countDownLatch = countDownLatch;
        this.solrUtils = SpringContextUtils.getBean(SolrUtils.class);
        this.redisUtil = SpringContextUtils.getBean(RedisUtil.class);
    }

    /**
     * 方法 或者代码块 级别  源代码溯源
     * 当前任务 需要在 文件级分析完成后 进行
     */

    @Override
    public void run() {
        //执行任务前,判断一下任务执行的状态
        Object status = redisUtil.get(String.format(RedisConst.TASK_RUNNING_STATUS_KEY_PREFIX, analysisTask.getId()));
        if (status != null && (status.equals(AnalysisStatusEnum.STOP_ANALYSIS.getCode()) || status.equals(AnalysisStatusEnum.PAUSE_ANALYSIS.getCode()))) {
            log.info("任务已取消,fileName:{}", analysisFile.getName());
            countDownLatch.countDown();
            return;
        }

        //获取文件地址
        String filePath = analysisFile.getFileUrl();
        //获取文件名称
        String fileName = analysisFile.getName();

        try {
            LineDataMongoDto lineDataMongoDto = new LineDataMongoDto();
            lineDataMongoDto.setFileId(analysisFile.getId());
            Analysis analysis = AnalysisFactory.getAnalysis(filePath);
            //将代码块特征存入MongoDB
            //提取文件的代码块信息
            CodeFile codeFile = analysis.analysisFile(filePath, FunctionAndAnalysisAssemblyConst.LINE_EXTRACT, FunctionAndAnalysisAssemblyConst.LINE_EXTRACT_BY_6_LINE);
            List<LineModel> lineFeatures = codeFile.getLine_hay();

            //根据文件后缀判断需要查询的solr特征库库名称
            String featureCoreName = FixedValue.SUFFIX_SOLR_FILE.get(analysisFile.getSuffix());

            //从solr库中获取特征相似的文件
            SolrDocumentList matchOpenSourceFiles = getFeatureSimilarityFromSolr(featureCoreName, lineFeatures);

            //计算开源率
            doAnalysis(matchOpenSourceFiles, codeFile);

            //更新文件表的分析状态为3 行级特征以分析完毕
            analysisFile.setFileAnalysisStatus(FileAnalysisStatusEnum.ANALYSIS_DONE.getCode());
            mongoTemplate.update(FileDataMongoDto.class)
                    .matching(where("_id").is(analysisFile.getId()))
                    .replaceWith(analysisFile)
                    .findAndReplace();

            AnalysisLogUtil.insert(mongoTemplate, "【代码块级分析】完成" + fileName);
            log.info("文件" + fileName + ":代码块级分析完成");
        } catch (Exception e) {
            AnalysisLogUtil.insertErrorInfo(mongoTemplate, "【代码块分析】失败" + fileName, e);
            log.error("文件:" + fileName + "代码块级分析失败!", e);
            //修改当前文件分析状态未失败
            mongoTemplate.update(FileDataMongoDto.class)
                    .matching(where("_id").is(analysisFile.getId()))
                    .apply(new Update().set("fileAnalysisStatus", FileAnalysisStatusEnum.FAILED_ANALYSIS.getCode()))
                    .first();
        } finally {
            countDownLatch.countDown();
        }
    }


    /**
     * 根据 特征值 从特征库中检索 具有特征相似的
     *
     * @param solrCoreName              检索的solr 库名称
     * @param functionAndCodeBlockInfos
     * @return
     */
    private SolrDocumentList getFeatureSimilarityFromSolr(String solrCoreName, List<LineModel> functionAndCodeBlockInfos) {
        //获取函数获取代码块的特征MD5值
        Set<String> traitLineMd5Arr = functionAndCodeBlockInfos.stream().map(LineModel::getTraitLineMd5).collect(Collectors.toSet());
        Set<String> cuttLineMd5Arr = functionAndCodeBlockInfos.stream().map(LineModel::getCutLineMd5).collect(Collectors.toSet());
        Set<String> queryMd5Arr = Stream.concat(traitLineMd5Arr.stream(), cuttLineMd5Arr.stream()).collect(Collectors.toSet());
        String queryStr = "line_hay:(" + StringUtils.join(queryMd5Arr, " OR ") + ")";
        log.info("查询条件: solrCoreName:{},queryStr:{}", solrCoreName, queryStr);
        SolrDocumentList result = solrUtils.query(solrCoreName, queryStr, "sourceMd5,line_hay");
        log.info("查询结果: result:{}", result);
        return result;
    }


    /**
     * 计算开源率 被测件的开源率
     *
     * @param matcheOpenSourceFiles 匹配的开源文件信息
     * @param fileAnalysisRes       被测件的解析结果
     */
    private void doAnalysis(SolrDocumentList matcheOpenSourceFiles, CodeFile fileAnalysisRes) {

        if (CollectionUtil.isEmpty(matcheOpenSourceFiles)) {
            return;
        }

        //根据文件后缀判断需要查询的文件版本库名称
        String sourceFileBaseCoreName = FixedValue.SUFFIX_SOLR_VERSION.get(analysisFile.getSuffix());


        //保存所有匹配的特征代码块MD5信息,方便统计总的匹配行数
        Set<String> matchingTraitLineSet = new HashSet<>();

        //匹配的特征代码块MD5
        Set<Integer> matchedLineRowsNum = new HashSet<>();

        //统计每个文件的开源率
        List<MatchOpenFile> matchOpenFilesRes = calculateSimilarityAndOpenRate(matcheOpenSourceFiles, fileAnalysisRes, sourceFileBaseCoreName, matchedLineRowsNum, matchingTraitLineSet);

        //计算文件的总体的特征相似度
        Map<String, LineModel> traitMd5Map = fileAnalysisRes.getLine_hay().stream().collect(Collectors.toMap(LineModel::getTraitLineMd5, java.util.function.Function.identity()));

        int matchCodeBlockLineCount = 0;
        for (String matchFeatureFunctionMd5 : matchingTraitLineSet) {
            LineModel lineModel = traitMd5Map.get(matchFeatureFunctionMd5);
            matchCodeBlockLineCount += (Integer.valueOf(lineModel.getEndLine()) - Integer.valueOf(lineModel.getStartLine()));
        }

        BigDecimal featureSimilarity = new BigDecimal(matchCodeBlockLineCount).divide(new BigDecimal(analysisFile.getCodeRowNum()), 4, RoundingMode.HALF_UP).multiply(new BigDecimal(100)).setScale(2);

        //计算文件的总体开源率
        BigDecimal openRate = new BigDecimal(matchedLineRowsNum.size()).divide(new BigDecimal(analysisFile.getCodeRowNum()), 4, RoundingMode.HALF_UP).multiply(new BigDecimal(100)).setScale(2);

        //获取开源率的阈值
        Integer openRateThreshold = analysisTask.getOpenRateThreshold();

        //如果开源率大于阈值，则将当前文件设置成开源
        if (openRate.compareTo(new BigDecimal(openRateThreshold)) >= 0) {
            analysisFile.setOpenType(true);
        }

        //保存当前文件的开源信息到mongo库中
        MatchOpenFileMongoDto matchOpenFileMongo = new MatchOpenFileMongoDto();
        matchOpenFileMongo.setId(IdGenerator.uuid32())
                .setFilePath(analysisFile.getFileUrl())
                .setFileName(analysisFile.getName())
                .setFeatureSimilarity(featureSimilarity.floatValue())
                .setOpenRate(openRate.floatValue())
                .setOpenType(analysisFile.getOpenType())
                .setMatchOpenFile(matchOpenFilesRes);

        mongoTemplate.save(matchOpenFileMongo);
    }


    /**
     * 计算当前文件的特征相似度 和 开源率
     *
     * @param matchOpenFiles            通过MD5 匹配到的所有开源文件
     * @param sourceFileBaseCoreName    当前文件特征文件的 solr coreName
     * @param matchLineRowsNum          所有开源文件匹配到的开源行号列表
     * @param matchFeatureCodeBlockMd5s 所有开源文件匹配到的特征代码块MD5
     */
    private List<MatchOpenFile> calculateSimilarityAndOpenRate(SolrDocumentList matchOpenFiles, CodeFile fileAnalysisRes, String sourceFileBaseCoreName, Set<Integer> matchLineRowsNum, Set<String> matchFeatureCodeBlockMd5s) {

        List<MatchOpenFile> matchOpenFilesRes = new ArrayList<>();

        //首先根据文件的MD5查询开源文件的版本ID,和路径信息
        Set<String> openSourceFileMd5s = matchOpenFiles.stream().map(doc -> (String) doc.get("sourceMd5")).collect(Collectors.toSet());
        Map<String, SolrDocument> md5VersionInfoMap = solrUtils.batchQueryVersionIdFromSourceFileBaseBySourceMd5(sourceFileBaseCoreName, openSourceFileMd5s);

        //根据版本ID查询版本的详细信息
        //todo 这里 查询一个版本的信息 需要检索 两个 solr 库 而且还需要检索 versioinTree 后面需要优化
        Set<String> openSourceFileVersionIds = md5VersionInfoMap.values().stream().map(doc -> (String) doc.get("versionId")).collect(Collectors.toSet());
        List<VersionTree> versionTrees = solrUtils.queryBatchVersionInfoByVersionIds(openSourceFileVersionIds);
        Map<String, VersionTree> versionIdVersionInfoMap = versionTrees.stream().collect(Collectors.toMap(VersionTree::getVersionId, java.util.function.Function.identity()));


        for (SolrDocument matchFile : matchOpenFiles) {

            //开源文件md5
            String openSourceFileMd5 = matchFile.getFieldValue("sourceMd5").toString();

            //解析文件的代码块特征值
            List<LineModel> openFileCodeBlockFeatureList = getOpenFileCodeBlockList(matchFile);

            //匹配的总特征行数
            int currentFileMatchFeatureLineCount = 0;

            //遍历当前文件的代码块特征,统计匹配的总行数
            for (LineModel lineModel : fileAnalysisRes.getLine_hay()) {
                String traitLineMd5 = lineModel.getTraitLineMd5();
                //村换匹配到的文件的行信息
                for (LineModel matchLine : openFileCodeBlockFeatureList) {
                    if (traitLineMd5.equals(matchLine.getTraitLineMd5())) {
                        //计算匹配的特征行数
                        currentFileMatchFeatureLineCount += (Integer.valueOf(matchLine.getEndLine()) - Integer.valueOf(matchLine.getStartLine()) + 1);
                        matchFeatureCodeBlockMd5s.add(traitLineMd5);
                    }
                }
            }


            //根据源文件的MD5确定需要查询源码库的序号
            String openSourceCodeCoreIndex = openSourceFileMd5.substring(0, 1) + SolrDBConst.CORE_NAME_SUFFIX_SOURCE_FILE_INFO;

            //获取开源文件的文本信息
            SolrDocument openSourceContent = solrUtils.queryOne(openSourceCodeCoreIndex, "sourceFileMd5:" + openSourceFileMd5, "sourceContent");

            //当前文件的开源率
            Pair<Float, HashSet<Integer>> openRateAndSaveRowNum = getOpenRateAndSaveRowNum(fileAnalysisRes.getSourceFileContent(), openSourceContent.getFieldValue("sourceContent").toString());

            //将当前文件匹配的行号，存储到缓存中，方便统计整体的开源率
            matchLineRowsNum.addAll(openRateAndSaveRowNum.getValue());

            //统计当前文件的特征相似度
            BigDecimal featureSimilarity = new BigDecimal(currentFileMatchFeatureLineCount).divide(fileAnalysisRes.getCodeRowNum(), 4, RoundingMode.HALF_UP).multiply(new BigDecimal(100)).setScale(2);

            SolrDocument openEntries = md5VersionInfoMap.get(openSourceFileMd5);
            VersionTree versionInfo = versionIdVersionInfoMap.get(openEntries.get("versionId"));

            //组装当前开源文件的开源项目信息
            MatchOpenFile matchOpenFileInfo = new MatchOpenFile();
            matchOpenFileInfo.setPId(versionInfo.getProId())
                    .setPName(versionInfo.getProName())
                    .setSourceUrl((String) openEntries.get("fullPath"))
                    .setFeatureSimilarity(featureSimilarity.floatValue())
                    .setOpenRate(openRateAndSaveRowNum.getKey())
                    .setVersion(versionInfo.getVersionName())
                    .setLicenseType(versionInfo.getLicenseType())
                    .setAnalyzeType(AnalysisLevelEnum.BLOCK_LEVEL.getCode());
            matchOpenFilesRes.add(matchOpenFileInfo);
        }
        return matchOpenFilesRes;
    }


    /**
     * 获取当前文件的代码块特征值
     *
     * @param openSourceFile
     * @return
     */
    private List<LineModel> getOpenFileCodeBlockList(SolrDocument openSourceFile) {
        //解析文件的代码块特征值
        String lineFeatureMd5s = (String) openSourceFile.get("line_hay");
        lineFeatureMd5s = lineFeatureMd5s.replace("\\", "")
                .replace("\"{", "{")
                .replace("}\"", "}");
        return JSONArray.parseArray(lineFeatureMd5s, LineModel.class);
    }


    /**
     * 将特征值插入到mongo库中
     *
     * @param features         特征集合
     * @param lineDataMongoDto 当前分析任务 ，特征信息存储
     *                                                                                                   todo 后期 看看有没有插入的必要
     * @param
     */
    @Deprecated
    private void insertFeatureValue(List<LineModel> features, LineDataMongoDto lineDataMongoDto) {
        List<LineModel> batchInsertList = new ArrayList<>();
        if (CollectionUtil.isNotEmpty(features)) {
            //这里的批量插入逻辑可以进行校验
            //每10条存一次,解析的数据量如果过大，可能会超过MongoDB数据限制
            int batchInsertStpe = 10;
            int total = 0;
            for (int i = 0; i < features.size(); i++) {
                LineModel lineModel = features.get(i);
                if (total != batchInsertStpe) {
                    batchInsertList.add(lineModel);
                    total++;
                }
                if (i == features.size() - 1 && total != batchInsertStpe) {
                    total = 0;
                    lineDataMongoDto.setId(IdGenerator.uuid32())
                            .setLineModels(batchInsertList);
                    mongoTemplate.insert(lineDataMongoDto);
                }
                if (total == batchInsertStpe) {
                    total = 0;
                    lineDataMongoDto.setId(IdGenerator.uuid32())
                            .setLineModels(batchInsertList);
                    mongoTemplate.insert(lineDataMongoDto);
                    batchInsertList.clear();
                }
            }
        } else {
            lineDataMongoDto.setId(IdGenerator.uuid32());
            mongoTemplate.insert(lineDataMongoDto);
        }
    }

}