/// <summary>
/// This method reads the input text file and makes LIQueries for each line in the file.
/// </summary>
/// <param name="filepath"></param>
/// <returns></returns>
public List <object> createLIQueries()
{
string[] lines = File.ReadAllLines(LIQueriesRelativePath);
List <object> queries = new List <object>();
foreach (string line in lines)
{
string[] splitInput = line.Split('.');
if (splitInput.Length == 3)
{
LIQuery query = new LIQuery(splitInput[0], splitInput[1], splitInput[2]);
queries.Add(query);
}
if (splitInput.Length == 7)
{
bool onlygeteasy = true;
if ((splitInput[6].Contains('f')) || (splitInput[6].Contains('F')))
{
onlygeteasy = false;
}
string[] jobtitles = splitInput[3].Split('|');
string[] experiences = splitInput[4].Split('|');
LIQueryAdvanced advquery = new LIQueryAdvanced(splitInput[0], splitInput[1], splitInput[2], jobtitles, experiences, splitInput[5], onlygeteasy);
queries.Add(advquery);
}
}
return(queries);
}
/// <summary>
/// This primary accessory constructor takes in a list of queries and constructs their search url and creates a LIQuery object for each url.
/// </summary>
/// <param name="queries"></param>
public LIService()
{
List <object> queries = createLIQueries();
Queries = queries.ToArray();
FULLURLS = new string[queries.Count];
//TODO: Check to see how shortened links look for LinkedIn
for (int counter = 0; counter < Queries.Length; counter++)
{
object query = queries[counter];
if (query.GetType().Equals(typeof(LIQuery)))
{
LIQuery q = (LIQuery)query;
setBaseSearchParams(q.KeyWords, q.City, q.State);
string url = BaseURL + BaseSearchParams;
FULLURLS[counter] = url;
}
else
{
LIQueryAdvanced advq = (LIQueryAdvanced)query;
setBaseSearchParams(advq.KeyWords, advq.City, advq.State);
setAdvancedSearchParams(advq.JobTitles, advq.Experiences, advq.DatePosted);
string url = BaseURL + BaseSearchParams + AdvancedSearchParams;
FULLURLS[counter] = url;
}
}
}
