// SAMPLE 4
static public void ProcessFlowFile_Sample1()
{
string fileOutputName = "FlowDataForHackTrain6_Dec5Days_User_1.csv";
IDataFilter dataFilter = new DataFilter
{
FilterType = LocationDataType.User_ID,
Filter = "c5960d83-d29d-48a2-aa40-974ba76c7513"
};
IList <LocationDataType> requiredLocationColumns = new List <LocationDataType>
{
LocationDataType.Timestamp,
LocationDataType.User_ID,
LocationDataType.Latitude,
LocationDataType.Longitude,
LocationDataType.Connection_Type,
LocationDataType.Device_Language
};
string[] monthFiles = { "month=2018-12" };
string[] days =
{
",2018-12-03T",
",2018-12-04T",
",2018-12-05T",
",2018-12-06T",
",2018-12-07T"
};
DataFormatter df = new DataFormatter();
df.ProcessFileToDebugFolder(monthFiles, days, requiredLocationColumns, fileOutputName, dataFilter);
// additional
fileOutputName = "FlowDataForHackTrain6_Dec5Days_User_2.csv";
dataFilter.Filter = "64a2036f-0e6f-4bd2-95c2-c747e7c2cec8";
df.ProcessFileToDebugFolder(monthFiles, days, requiredLocationColumns, fileOutputName, dataFilter);
fileOutputName = "FlowDataForHackTrain6_Dec5Days_User_3.csv";
dataFilter.Filter = "ba7dc04c-4209-440f-82ce-3e710baa217d";
df.ProcessFileToDebugFolder(monthFiles, days, requiredLocationColumns, fileOutputName, dataFilter);
fileOutputName = "FlowDataForHackTrain6_Dec5Days_User_4.csv";
dataFilter.Filter = "5343052a-c492-44e6-af60-a76af7875e07";
df.ProcessFileToDebugFolder(monthFiles, days, requiredLocationColumns, fileOutputName, dataFilter);
fileOutputName = "FlowDataForHackTrain6_Dec5Days_User_5.csv";
dataFilter.Filter = "47dcf0fa-4fad-4ba3-a692-f62cc7bb0852";
df.ProcessFileToDebugFolder(monthFiles, days, requiredLocationColumns, fileOutputName, dataFilter);
}
// SAMPLE 6 (Flow Sample 3)
static public void ProcessFlowFile_Sample3()
{
string fileOutputName = "";
IDataFilter dataFilter = new DataFilter
{
FilterType = LocationDataType.User_ID
};
IList <LocationDataType> requiredLocationColumns = new List <LocationDataType>
{
LocationDataType.Timestamp,
LocationDataType.User_ID,
LocationDataType.Latitude,
LocationDataType.Longitude,
LocationDataType.Connection_Type,
LocationDataType.Device_Language
};
string[] monthFiles = { "month=2018-12" };
string[] days =
{
",2018-12-03T",
",2018-12-04T",
",2018-12-05T",
",2018-12-06T",
",2018-12-07T"
};
DataFormatter df = new DataFormatter();
/*
* a8b170c7-8b5b-494c-9fdb-ff453d36f577
* b5dfa510-14d0-4c88-b064-dc53ceea290c
* 87b7dc48-58b9-43a8-8f4b-2d2e44a1a994
*/
fileOutputName = "FlowDataForHackTrain6_Dec5Days_User_6.csv";
dataFilter.Filter = "a8b170c7-8b5b-494c-9fdb-ff453d36f577";
df.ProcessFileToDebugFolder(monthFiles, days, requiredLocationColumns, fileOutputName, dataFilter);
// additional
fileOutputName = "FlowDataForHackTrain6_Dec5Days_User_7.csv";
dataFilter.Filter = "b5dfa510-14d0-4c88-b064-dc53ceea290c";
df.ProcessFileToDebugFolder(monthFiles, days, requiredLocationColumns, fileOutputName, dataFilter);
fileOutputName = "FlowDataForHackTrain6_Dec5Days_User_8.csv";
dataFilter.Filter = "87b7dc48-58b9-43a8-8f4b-2d2e44a1a994";
df.ProcessFileToDebugFolder(monthFiles, days, requiredLocationColumns, fileOutputName, dataFilter);
}
// SAMPLE 3
static public void ProcessFlowFile_SampleTEST()
{
string fileOutputName = "FlowDataForHackTrain6_TEST.csv";
IDataFilter dataFilter = new DataFilter
{
FilterType = LocationDataType.User_ID,
Filter = "728da454-a3b6-42e1-b919-91bbf8e05ac7"
};
IList <LocationDataType> requiredLocationColumns = new List <LocationDataType>
{
LocationDataType.Timestamp,
LocationDataType.User_ID,
LocationDataType.Latitude,
LocationDataType.Longitude,
LocationDataType.Connection_Type,
LocationDataType.Device_Language
};
string[] monthFiles = { "month=2018-12" }; // override to test
string[] days = { ",2018-12-03T" };
DataFormatter df = new DataFormatter();
df.ProcessFileToDebugFolder(monthFiles, days, requiredLocationColumns, fileOutputName, dataFilter);
}
// SAMPLE 5
static public void ProcessFlowFile_Sample2()
{
string fileOutputName = "FlowDataForHackTrain6_3Months_User_CHECK.csv";
IDataFilter dataFilter = new DataFilter
{
FilterType = LocationDataType.User_ID,
Filter = "5343052a-c492-44e6-af60-a76af7875e07"
};
IList <LocationDataType> requiredLocationColumns = new List <LocationDataType>
{
LocationDataType.Timestamp,
LocationDataType.User_ID,
LocationDataType.Latitude,
LocationDataType.Longitude,
LocationDataType.Connection_Type,
LocationDataType.Device_Language
};
string[] monthFiles =
{
"month=2018-12",
"month=2019-06",
"month=2019-10"
};
string[] days =
{
",2018-12-03T",
",2018-12-04T",
",2018-12-05T",
",2018-12-06T",
",2018-12-07T",
",2019-06-03T",
",2019-06-04T",
",2019-06-05T",
",2019-06-06T",
",2019-06-07T",
",2019-10-03T",
",2019-10-04T",
",2019-10-05T",
",2019-10-06T",
",2019-10-07T"
};
DataFormatter df = new DataFormatter();
df.ProcessFileToDebugFolder(monthFiles, days, requiredLocationColumns, fileOutputName, dataFilter);
}
// SAMPLE 2
static public void ProcessADailyFile_Sample1()
{
// Data to pull:
string fileOutputName = "DailyDataForHackTrain6_3Months.csv";
IList <LocationDataType> requiredLocationColumns = new List <LocationDataType>
{
LocationDataType.Timestamp,
LocationDataType.User_ID,
LocationDataType.Latitude,
LocationDataType.Longitude,
LocationDataType.Connection_Type,
LocationDataType.Device_Language
};
string[] monthFiles =
{
"month=2018-12",
"month=2019-06",
"month=2019-10"
};
string[] days =
{
",2018-12-03T",
",2018-12-04T",
",2018-12-05T",
",2018-12-06T",
",2018-12-07T",
",2019-06-03T",
",2019-06-04T",
",2019-06-05T",
",2019-06-06T",
",2019-06-07T",
",2019-10-03T",
",2019-10-04T",
",2019-10-05T",
",2019-10-06T",
",2019-10-07T"
};
DataFormatter df = new DataFormatter();
df.ProcessFileToDebugFolder(monthFiles, days, requiredLocationColumns, fileOutputName);
}