public SalesTotalResponse Split(SalesTotalRequest request)
{
var response = new SalesTotalResponse();
string path1 = @"E:\kanjiCheck.txt";
string newFilePath = @"E:\ccc\" + "file3" + ".txt";
string[] lines = File.ReadAllLines(path1);
var writes = new List <string>();
var fileName = "";
var index = 0;
foreach (var line in lines.Where(e => e != "" && e != " "))
{
if (index == 0)
{
fileName = line.Split('"')[1].Replace("|", "_").Replace("/", "_").Replace("!", "_").Replace("?", "_");
}
if (!line.Contains("---"))
{
writes.Add(line);
index++;
}
else
{
newFilePath = @"C:\ccc\" + fileName + @".txt";
File.WriteAllLines(newFilePath, writes);
writes = new List <string>();
index = 0;
}
}
return(response);
}
public SalesTotalResponse SalesTotal(SalesTotalRequest request)
{
var response = new SalesTotalResponse();
MongoClient client = new MongoClient("mongodb://localhost:27017");
MongoDatabaseBase db = client.GetDatabase("ntut") as MongoDatabaseBase;
var memberCollection = db.GetCollection <SalesCollection>("sales");
#region
var query = Builders <SalesCollection> .Filter.And(
Builders <SalesCollection> .Filter.Gte(e => e.date, request.dateLower),
Builders <SalesCollection> .Filter.Lte(e => e.date, request.dateUpper));
#endregion
var result = memberCollection.Aggregate().Match(e => e.date >= request.dateLower && e.date <= request.dateUpper)
.Group(e => new SalesTotalDate
{
year = e.date.Year,
month = e.date.Month,
day = e.date.Day
},
e => new SalesTotalItem
{
_id = e.Key,
totalSaleAmount = e.Sum(p => p.price * p.quantity),
averageQuantity = e.Average(p => p.quantity),
count = e.Count()
})
.ToList();
#region 方法2 使用BsonDocument，但field看不到參考
var groupBson2 = new BsonDocument
{
{
"_id", new BsonDocument
{
{ "month", new BsonDocument("$month", "$date") },
{ "day", new BsonDocument("$dayOfMonth", "$date") },
{ "year", new BsonDocument("$year", "$date") }
}
},
{
"totalSaleAmount", new BsonDocument("$sum", new BsonDocument("$multiply", new BsonArray {
"$price", "$quantity"
}))
},
{
"averageQuantity", new BsonDocument("$avg", "$quantity")
},
{
"count", new BsonDocument("$sum", 1)
}
};
var result2 = memberCollection.Aggregate().Match(query)
.Group <SalesTotalItem>(groupBson2)
.ToList();
#endregion
#region 方法3 使用dateToString，但輸出不反序列化，因為原本的_id是物件，而此處是字串
var groupBson3 = new BsonDocument
{
{
"_id", new BsonDocument("$dateToString", new BsonDocument {
{ "format", "%Y-%m-%d" }, { "date", "$date" }
})
},
{
"totalSaleAmount", new BsonDocument("$sum", new BsonDocument("$multiply", new BsonArray {
"$price", "$quantity"
}))
},
{
"averageQuantity", new BsonDocument("$avg", "$quantity")
},
{
"count", new BsonDocument("$sum", 1)
}
};
var result3 = memberCollection.Aggregate().Match(query)
.Group(groupBson3)
.ToList();
#endregion
#region 方法4 弱型別
var result4 = memberCollection.Aggregate().Match(query)
.Group("{_id:{$dateToString:{format:\"%Y-%m-%d\",date:\"$date\"}},totalSaleAmount:{$sum:{$multiply:[\"$price\",\"$quantity\"]}},averageQuantity:{$avg:\"$quantity\"},count:{$sum:1}}")
.ToList();
#endregion
response.items = result;
return(response);
}