def delete_Gensim_IndexSet():
"""after Indexing there might be no need to keep the indexed items
"""
if request.method == "GET":
training_id = request.args.get("training_id", "0")
if request.method == "POST":
training_id = request.form["training_id"]
i = Indexing(training_id, db_location)
i.delete_set()
""" @todo jsonify the result """
return "deleting index ok\n"
def Gensim_IndexSet():
"""
start the indexing with formally done filled items
"""
if request.method == "GET":
training_id = request.args.get("training_id", "0")
if request.method == "POST":
training_id = request.form["training_id"]
i = Indexing(training_id, db_location)
i.commit_indexing_set()
msg = {"msg": "indexing_ok"}
return json.dumps(msg)
def initGensimTrainingSet():
"""now the complicated stuff begins
This is function is supposed to take the initial steps like allocation space for the model etc
parameters: id=string
"""
if request.method == "POST":
id = request.form["training_id"]
if request.method == "GET":
id = request.args.get("training_id", "1", type=int)
t = Training(training_id=id, db_location=db_location)
result = t.init_training_set()
i = Indexing(id, db_location)
i.init_indexing_set()
""" @todo jsonify the result """
return str(result)
def gensim_train_fillIndexingSet():
"""
filling the index
"""
if request.method == "POST":
training_id = request.form["training_id"]
document_text = request.form["document_text"]
document_id = request.form["document_id"]
if request.method == "GET":
document_id = request.args.get("document_id", "0")
training_id = request.args.get("training_id", "0")
document_text = request.args.get("document_text", "0")
q = Indexing(training_id, db_location)
q.fill_indexing_set(document_text, document_id)
msg = {"msg": "fill_ok"}
return json.dumps(msg)
