public Scanner(
final ServiceRegistry serviceRegistry,
final String userId,
final int batchWeight,
final WritableBulkImportStatus importStatus,
final ThreadPauser pauser,
final BulkImportSource source,
final Map<String, List<String>> parameters,
final NodeRef target,
final BulkImportThreadPoolExecutor importThreadPool,
final BatchImporter batchImporter,
final List<BulkImportCompletionHandler> completionHandlers) {
// PRECONDITIONS
assert serviceRegistry != null : "serviceRegistry must not be null.";
assert userId != null : "userId must not be null.";
assert batchWeight > 0 : "batchWeight must be > 0.";
assert importStatus != null : "importStatus must not be null.";
assert pauser != null : "pauser must not be null.";
assert source != null : "source must not be null.";
assert parameters != null : "parameters must not be null.";
assert target != null : "target must not be null.";
assert importThreadPool != null : "importThreadPool must not be null.";
assert batchImporter != null : "batchImporter must not be null.";
// Body
this.userId = userId;
this.batchWeight = batchWeight;
this.importStatus = importStatus;
this.pauser = pauser;
this.source = source;
this.parameters = parameters;
this.target = target;
this.targetAsPath = convertNodeRefToPath(serviceRegistry, target);
this.importThreadPool = importThreadPool;
this.batchImporter = batchImporter;
this.completionHandlers = completionHandlers;
this.replaceExisting =
parameters.get(PARAMETER_REPLACE_EXISTING) == null
? false
: Boolean.parseBoolean(parameters.get(PARAMETER_REPLACE_EXISTING).get(0));
this.dryRun =
parameters.get(PARAMETER_DRY_RUN) == null
? false
: Boolean.parseBoolean(parameters.get(PARAMETER_DRY_RUN).get(0));
this.currentBatchNumber = 0;
this.currentBatch = null;
this.weightOfCurrentBatch = 0;
this.filePhase = false;
this.multiThreadedImport = false;
}
@Override
public List<Recommender> getRecommenders(String username) {
try {
THttpClient transport = new THttpClient("http://datahub.csail.mit.edu/service");
TBinaryProtocol protocol = new TBinaryProtocol(transport);
DataHub.Client client = new DataHub.Client(protocol);
ConnectionParams params = new ConnectionParams();
params.setApp_id(DatahubDataModel.getKibitzAppName());
params.setApp_token(DatahubDataModel.getKibitzAppId());
params.setRepo_base(DatahubDataModel.getDefaultDatahubUsername());
Connection connection = client.open_connection(params);
List<Recommender> recommenders = new ArrayList<Recommender>();
ResultSet res =
client.execute_sql(
connection,
"SELECT database,username,ratings_table,overall_ratings,ratings_column FROM kibitz_users.recommenders WHERE username = '******';",
null);
HashMap<String, Integer> colToIndex = DatahubDataModel.getFieldNames(res);
for (Tuple t : res.getTuples()) {
List<ByteBuffer> cells = t.getCells();
Recommender recommender = new Recommender();
String database = new String(cells.get(colToIndex.get("database")).array());
recommender.setUsername(new String(cells.get(colToIndex.get("username")).array()));
recommender.setRepoName(database);
recommender.setHomepage("default");
recommender.setRecommenderName(
new String(cells.get(colToIndex.get("ratings_table")).array()).split("\\.")[1]);
if (Boolean.parseBoolean(new String(cells.get(colToIndex.get("overall_ratings")).array())))
recommender.setRatingsColumn(
new String(cells.get(colToIndex.get("ratings_column")).array()));
ScriptEngineManager mgr = new ScriptEngineManager();
ScriptEngine jsEngine = mgr.getEngineByName("JavaScript");
File file =
new File(
DatahubDataModel.WEBSERVER_DIR + username + "/" + database + "/js/initiate.js");
Reader reader = new FileReader(file);
jsEngine.eval(reader);
recommender.setClientKey(jsEngine.get("client_key").toString());
recommender.setTitle(jsEngine.get("title").toString());
recommender.setDescription(jsEngine.get("description").toString());
recommender.setVideo(jsEngine.get("video").toString());
recommender.setImage(jsEngine.get("image").toString());
recommender.setPrimaryKey(jsEngine.get("primary_key").toString());
List<String> displayItems = new ArrayList<String>();
int varsLength = Integer.parseInt(jsEngine.eval("display_items.length;").toString());
for (int i = 0; i < varsLength; i++) {
displayItems.add((String) jsEngine.eval("display_items[" + i + "];"));
}
recommender.setDisplayItems(displayItems);
HashMap<String, String> itemMap =
new HashMap<String, String>((Map<String, String>) jsEngine.get("item_types"));
recommender.setItemTypes(itemMap);
recommender.setNumRecs((int) Double.parseDouble(jsEngine.get("num_recs").toString()));
recommender.setMaxRatingVal(
(int) Double.parseDouble(jsEngine.get("maxRatingVal").toString()));
recommenders.add(recommender);
}
return recommenders;
} catch (ScriptException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (DBException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (TException e) {
// TODO Auto-generated catch block
e.printStackTrace();
} catch (FileNotFoundException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
return null;
}