db.getCollection("device_measure").aggregate([{ $match: { createTime: { $gt: ISODate("2023-06-03 00:00:00"), $lt: ISODate("2023-06-04 00:00:00") }, familyId: 33 }, }, { $project: { outPower: { $toDouble: "$OutP" }, PvU: { $toDouble: "$PvU" }, PvP: { $toDouble: "$PvP" }, } }, { $group: { _id: "$familyId", avgField1: { $avg: "$outPower" }, avgField2: { $avg: "$PvU" }, avgField3: { $avg: "$PvP" }, } }])用mongoTemolate怎么写

您可以参考以下代码将该聚合操作转化为MongoTemplate的写法：

Criteria criteria = Criteria.where("createTime")
    .gt("2023-06-03T00:00:00Z")
    .lt("2023-06-04T00:00:00Z")
    .and("familyId").is(33);

Aggregation aggregation = Aggregation.newAggregation(
    Aggregation.match(criteria),
    Aggregation.project()
        .and(ConvertOperators.ToDouble.toDouble("$OutP")).as("outPower")
        .and(ConvertOperators.ToDouble.toDouble("$PvU")).as("PvU")
        .and(ConvertOperators.ToDouble.toDouble("$PvP")).as("PvP"),
    Aggregation.group("familyId")
        .avg("outPower").as("avgField1")
        .avg("PvU").as("avgField2")
        .avg("PvP").as("avgField3")
);

AggregationResults<Document> results = mongoTemplate.aggregate(aggregation, "device_measure", Document.class);
List<Document> mappedResults = results.getMappedResults();

其中，Criteria用于构建查询条件，Aggregation包含聚合操作的步骤，AggregationResults用于存储聚合结果。最后，您可以通过mappedResults获取聚合结果。