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Example Use of the API to Upload Data for a Dice Roller Application
stowellm edited this page Oct 10, 2014
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Below is some sample code that uses the iSENSE API and DataManager objects in the iOS static library, found in this repository at /Libs/iSENSE_API, to upload data to a dice rolling project. This project contains two fields: a timestamp, and a sum of the dice. An example of a dev project set up to use this code below can be found here: http://rsense-dev.cs.uml.edu/projects/872
// operations performed that involve querying the iSENSE website should always be done in a background // thread. in iOS, this is done by creating a dispatch queue. the "upload_data_to_isense" name is // arbitrary, so feel free to change this string. dispatch_queue_t queue = dispatch_queue_create("upload_data_to_isense", NULL); dispatch_async(queue, ^{
// normally, data would be passed into a method that makes this upload call.
// we will declare an arbitrary dice-roll and name for the data set
int whiteDiceValue = 1;
int yellowDiceValue = 6;
int diceRollSum = whiteDiceValue + yellowDiceValue;
NSString *dataSetName = @"My dice sum test 1";
// declare an instance of the singleton API object
API *isenseAPI = [API getInstance];
// if using the development iSENSE site, turn on development mode
[api useDev:true];
// declare a project to upload to, username, and password.
// this example assumes the project has the fields "white dice", "yellow dice", and "sum"
int projectID = 876;
NSString *userEmail = @"[email protected]";
NSString *password = @"mobile";
// login to the iSENSE site
[isenseAPI createSessionWithEmail:userEmail andPassword:password];
// pull down fields for the iSENSE project as an array of RProjectField objects
NSArray *projectFields = [isenseAPI getProjectFieldsWithId:projectID];
// initialize an array to store your data
NSMutableArray *rowMajorData = [[NSMutableArray alloc] init];
// each data row is a dictionary, where the keys are the project's field IDs and the values
// are the data you want to store for each field. if you want more data rows per data
// set, you can declare additional dictionaries, populate them as we will below, and also add
// them to the data array. PLEASE NOTE that iSENSE only accepts strings as keys and values,
// however, so when adding the data to the dictionary, store the field ID and value as a string
NSMutableDictionary *dataRow = [[NSMutableDictionary alloc] init];
// loop through the project fields and store each data point in a dictionary
for (RProjectField *field in projectFields) {
// see if this field contains "white" or "yellow" in it
if ([field.name.lowercaseString rangeOfString:@"white"].location != NSNotFound) {
// if we're here, this is our value of the white dice
// remember, the object and key should be strings!
[dataRow setObject:[NSString stringWithFormat:@"%d", whiteDiceValue]
forKey:[NSString stringWithFormat:@"%d", field.field_id.intValue]];
} else if ([field.name.lowercaseString rangeOfString:@"yellow"].location != NSNotFound) {
// if we're here, this is our value of the yellow dice
[dataRow setObject:[NSString stringWithFormat:@"%d", yellowDiceValue]
forKey:[NSString stringWithFormat:@"%d", field.field_id.intValue]];
} else {
// if we're here, this is the dice sum value
[dataRow setObject:[NSString stringWithFormat:@"%d", diceRollSum]
forKey:[NSString stringWithFormat:@"%d", field.field_id.intValue]];
}
}
// add this data row to our data array
[rowMajorData addObject:dataRow];
// at this point, feel free to add more data points to the rowMajorData array!
// to prevent the need for parsing the project's fields and logging in multiple times,
// make sure you only make these API calls once though.
// when storing data, we typically follow the format we did above. this style is called row-major
// because we stored one data row in our array at a time. iSENSE, however, expects data in
// column-major format. that is, our data object needs to be a dictionary where the keys are
// the field IDs and the values are an array of all data points for that key. luckily, the iSENSE
// iOS library comes with a DataManager object that will perform this conversion step for us.
NSDictionary *columnMajorData = [DataManager convertDataToColumnMajor:rowMajorData forProjectID:projectID];
// upload the data to iSENSE
[isenseAPI uploadDataToProject:projectID withData:columnMajorData andName:dataSetName];
// you're done! this uploadDataToProject method returns a data set ID number that you can store or check.
// this dataSetID variable will now contain either a positive integer if the data uploaded
// successfully (namely the ID of your new data set), or -1 if the upload failed. if your upload failed,
// you may have misformatted the data
});
// operations performed that involve querying the iSENSE website should always be done in a background
// thread. in iOS, this is done by creating a dispatch queue. the "upload_data_to_isense" name is
// arbitrary, so feel free to change this string.
dispatch_queue_t queue = dispatch_queue_create("upload_data_to_isense", NULL);
dispatch_async(queue, ^{
// normally, data would be passed into a method that makes this upload call.
// we will declare an arbitrary dice-roll sum and name for the data set
int diceRollSum = 7; // for example, the user rolled a 6 and a 1 on the two die
NSString *dataSetName = @"My dice sum test 1";
// declare an instance of the singleton API object
API *isenseAPI = [API getInstance];
// if using the development iSENSE site, turn on development mode
[api useDev:true];
// declare a project to upload to, username, and password
int projectID = 872;
NSString *userEmail = @"[email protected]";
NSString *password = @"mobile";
// login to the iSENSE site
[isenseAPI createSessionWithEmail:userEmail andPassword:password];
// pull down fields for the iSENSE project as an array of RProjectField objects
NSArray *projectFields = [isenseAPI getProjectFieldsWithId:projectID];
// initialize an array to store your data
NSMutableArray *rowMajorData = [[NSMutableArray alloc] init];
// each data row is a dictionary, where the keys are the project's field IDs and the values
// are the data you want to store for each field. if you want more data rows per data
// set, you can declare additional dictionaries, populate them as we will below, and also add
// them to the data array. PLEASE NOTE that iSENSE only accepts strings as keys and values,
// however, so when adding the data to the dictionary, store the field ID and value as a string
NSMutableDictionary *dataRow = [[NSMutableDictionary alloc] init];
// loop through the project fields and store each data point in a dictionary
for (RProjectField *field in projectFields) {
// see if this field contains the word "time" in it
if ([field.name.lowercaseString rangeOfString:@"time"].location != NSNotFound) {
// if so, this is our timestamp of the project. we need a unix timestamp
// in the format "u unix_time_stamp_in_milliseconds".
long long timeMillis = (long long) ([[NSDate date] timeIntervalSince1970] * 1000);
NSString *unixTimeStamp = [NSString stringWithFormat:@"u %lld", timeMillis];
[dataRow setObject:unixTimeStamp
forKey:[NSString stringWithFormat:@"%d", field.field_id.intValue]];
} else {
// otherwise, this is our dice sum
[dataRow setObject:[NSString stringWithFormat:@"%d", diceRollSum]
forKey:[NSString stringWithFormat:@"%d", field.field_id.intValue]];
}
}
// add this data row to our data array
[rowMajorData addObject:dataRow];
// when storing data, we typically follow the format we did above. this style is called row-major
// because we stored one data row in our array at a time. iSENSE, however, expects data in
// column-major format. that is, our data object needs to be a dictionary where the keys are
// the field IDs and the values are an array of all data points for that key. luckily, the iSENSE
// iOS library comes with a DataManager object that will perform this conversion step for us.
NSDictionary *columnMajorData = [DataManager convertDataToColumnMajor:rowMajorData forProjectID:projectID];
// upload the data to iSENSE
[isenseAPI uploadDataToProject:projectID withData:columnMajorData andName:dataSetName];
// you're done! this uploadDataToProject returns a data set ID number that you can store or check.
// this dataSetID variable will now contain either a positive integer if the data uploaded
// successfully (namely the ID of your new data set), or -1 if the upload failed. if your upload failed,
// you may have misformatted the data
});