/// <summary>
/// Generates a string key for the match list to use in Redis based on the profileId
/// and the given criteria.
/// </summary>
public string FormatKey(int profileId, MatchCriteriaModel criteria)
{
var key = profileId.ToString() + ":";
key += criteria.Gender + ":";
key += criteria.LocationId1.ToString();
return key;
}
/// <summary>
/// API: returns a list of matches for the given page and criteria. Called by
/// AJAX and returns JSON. Looks in the cache first and if not there call
/// the match server to calculate matches and save in cache.
/// </summary>
public async Task<ActionResult> Get(MatchCriteriaModel criteria, int page = 1)
{
var me = GetMyProfileId();
var matches = await GetMatchesAsync(me, criteria, page);
//Serialize matches to JSON
var json = JsonConvert.SerializeObject(matches);
return Content(json, "application/json");
}
/// <summary>
/// Gets the matches for a give page. Looks in the cache first and if not there calculates
/// matches and saves them there. If the forceRecalculation flag is true skip looking in the cache.
/// </summary>
private async Task<IList<MatchModel>> GetMatchesAsync(int profileId, MatchCriteriaModel criteria, int page, bool forceRecalc = false)
{
//check if matches in cache
var matches = _matchCache.Get(profileId, criteria, page);
if (matches == null || forceRecalc)
{
//cache miss
await _webClient.CalculateAndSaveMatchesAsync(criteria);
Session[OkbConstants.FORCE_RECALCULATE_MATCHES] = false;
}
//get matches from cache - 2nd try
matches = _matchCache.Get(profileId, criteria, page);
return matches;
}
/// <summary>
/// Peforms a match search for a user given their search preferences and returns a list
/// of sorted matches.
/// </summary>
public List<MatchModel> Search(int profileId, MatchCriteriaModel criteria)
{
var db = new OkbDbContext();
var matches = new List<MatchModel>();
var query = BuildSearchQuery(db, criteria);
var myAnswers = _matchCalc.GetAnswerDict(profileId);
foreach (var p in query)
{
var matchResult = _matchCalc.CalculateMatchPercent(p.Id, myAnswers);
matches.Add(new MatchModel
{
MatchPercent = matchResult.MatchPercent,
FriendPercent = matchResult.FriendPercent,
EnemyPercent = matchResult.EnemeyPercent,
UserId = p.UserId,
Nickname = p.Nickname,
ProfileId = p.Id,
Photo = p.GetFirstHeadshot(),
Age = p.GetAge(),
Gender = p.Gender,
Location = _locRepo.GetLocationString(p.LocationId1, p.LocationId2)
});
}
//For now just sort the list by match %
matches.Sort(delegate (MatchModel m1, MatchModel m2)
{
return m2.MatchPercent.CompareTo(m1.MatchPercent);
});
return matches;
}
/// <summary>
/// Get the search preferences for the given. For now just keep it simple and use the
/// "LookingForGender" field in the user's profile.
/// </summary>
public MatchCriteriaModel GetMatchCriteria(int profileId)
{
var db = new OkbDbContext();
var profile = db.Profiles.Find(profileId);
var criteria = new MatchCriteriaModel
{
Gender = profile.LookingForGender,
LocationId1 = 0 //we don't care about location now, show everyone
};
return criteria;
}
private IQueryable<Profile> BuildSearchQuery(OkbDbContext db, MatchCriteriaModel criteria)
{
var query = from p in db.Profiles.AsNoTracking()
where p.Deleted == false
select p;
if (!(criteria.Gender == OkbConstants.UNKNOWN_GENDER))
{
query = query.Where(p => p.Gender == criteria.Gender);
}
if (criteria.LocationId1 != 0)
{
query = query.Where(p => p.LocationId1 == criteria.LocationId1);
}
//Limit maximum match results returned
query = query.Take(OkbConstants.MAX_MATCH_RESULTS);
return query;
}