private readonly IAggregateRepository _repository; // Repository to Aggregate model
#endregion Fields
#region Constructors
protected AbstractImportService(IAggregateRepository repository,
IDataSourceRepository dataSourceRepository,
IDataSource dataSource,
IMatchingAlgorithm matchingAlgorithm,
IMapper<ImportAggregate, Aggregate> mapper)
{
if (repository == null)
throw new ArgumentNullException("repository", "Invalid repository specified for import Service");
if (dataSourceRepository == null)
throw new ArgumentNullException("dataSourceRepository", "Invalid Datasource repository specified for import Service");
if (dataSource == null)
throw new ArgumentNullException("dataSource","Invalid datasource supplied to import Service");
if (matchingAlgorithm == null)
throw new ArgumentNullException("matchingAlgorithm", "Invalid matching algorithm supplied to import Service");
if (mapper == null)
throw new ArgumentNullException("mapper", "No valid mapper supplied to import service");
_repository = repository;
_dataSourceRepository = dataSourceRepository;
_datasource = dataSource;
_algorithm = matchingAlgorithm;
_mapper = mapper;
//_mapper = new ImportAggregateToAggregateMapper();
}
/// <summary>
/// Ctor: references the RenUkDataSource, otherwise all other dependencies are common
/// </summary>
/// <param name="repository">Common repository for the Aggregate</param>
/// <param name="dataSourceRepository">Common repository for the DataSource</param>
/// <param name="dataSource">RenUk Specific DataSource instance</param>
/// <param name="matchingAlgorithm">Common Matching algorithm</param>
/// <param name="mapper">Mapper class to map importaggregate to aggreate class</param>
public RenUkImportService(IAggregateRepository repository, IDataSourceRepository dataSourceRepository,
IRenUkDataSource dataSource, IMatchingAlgorithm matchingAlgorithm, IMapper<ImportAggregate, Aggregate> mapper)
: base(repository, dataSourceRepository, dataSource, matchingAlgorithm, mapper)
{
}
public void Initialise()
{
// Data Context and Repositories
_db = new AggregateContext();
_repository = new AggregateRepository(_db);
_dataSourceRepository = new DataSourceRepository(_db);
_dataTypeRepository = new DataTypeRepository(_db); // No parm, currently Enumeration
// DataSources and Resolver
var renUkHelper = new RenUkHtmlHelper();
_renUkDatasource = new RenUkDataSource(renUkHelper);
var snhHelper = new SnhKmlHelper();
_snhDataSource = new SnhDataSource(snhHelper);
_dataSourceResolver = new DataSourceResolver(_snhDataSource, _renUkDatasource);
// Matching algorithm
_coefficientAlgorithm = new DiceCoefficient();
_similarityAlgorithm = new LcSubstr();
_editDistanceAlgorithm = new LevenshteinEditDistance();
_preProcess = new PreProcessor();
_algorithm = new MatchingAlgorithm(_coefficientAlgorithm, 0.9f, _similarityAlgorithm, 0.9f,
_editDistanceAlgorithm, 2, _preProcess);
// Mapper class
_mapper = new ImportAggregateToAggregateMapper();
// Import Services and Resolver
_renUkImportService = new RenUkImportService(_repository, _dataSourceRepository, _renUkDatasource, _algorithm, _mapper);
_snhImportService = new SnhImportService(_repository, _dataSourceRepository, _snhDataSource, _algorithm,
_mapper);
_importServiceResolver = new ImportServiceResolver(_snhImportService, _renUkImportService);
}
public void Initialise()
{
_db = new AggregateContext();
_repository = new AggregateRepository(_db);
_dataSourceRepository = new DataSourceRepository(_db);
var helper = new SnhKmlHelper();
_datasource = new SnhDataSource(helper);
_coefficientAlgorithm = new DiceCoefficient();
_similarityAlgorithm = new LcSubstr();
_editDistanceAlgorithm = new LevenshteinEditDistance();
_preProcess = new PreProcessor();
_algorithm = new MatchingAlgorithm(_coefficientAlgorithm, 0.9f, _similarityAlgorithm, 0.9f,
_editDistanceAlgorithm, 2, _preProcess);
_mapper = new ImportAggregateToAggregateMapper();
_service = new SnhImportService(_repository, _dataSourceRepository, _datasource, _algorithm, _mapper);
}
public void Initialise()
{
// Create new instance of the algorithms and pre-processor
_coefficientAlgorithm = new DiceCoefficient();
_similarityAlgorithm = new LcSubstr();
_editDistanceAlgorithm = new LevenshteinEditDistance();
_preProcessor = new PreProcessor();
// Instantiate the Aggregate Matching algorithm
_algorithm = new MatchingAlgorithm(_coefficientAlgorithm, CoefficientLimit,
_similarityAlgorithm, SimilarityLimit,
_editDistanceAlgorithm, EditDistanceLimit,
_preProcessor);
// Set up the test aggregates
_aggregates = new List<Aggregate>()
{
new Aggregate()
{
Id = 1,
Name = "Ardrossan",
LastUpdated = DateTime.Now,
Data = new Collection<AggregateData>()
},
new Aggregate()
{
Id=2,
Name = "Ardrossan Extension",
LastUpdated = DateTime.Now,
Data=new Collection<AggregateData>()
},
new Aggregate()
{
Id = 3,
Name = "10 x 50kW Windbank turbines at Tambowie Farm, Milngavie",
LastUpdated = DateTime.Now,
Data = new Collection<AggregateData>()
},
new Aggregate()
{
Id = 4,
Name = "Cathkin Braes",
LastUpdated = DateTime.Now,
Data = new Collection<AggregateData>()
},
new Aggregate()
{
Id = 5,
Name = "Achany Estate",
LastUpdated = DateTime.Now,
Data = new Collection<AggregateData>()
}
};
}
