def test_docker(self):
inputFilePath = 'resources/inputSample.csv'
dockerId = 'aa2685b94082'
dockerSudo = False
pathConfigFile = 'resources/ldaConfig.ini'
pathStopWords = 'resources/stopWord.csv'
param_object = Params(projectName='exmaple',
lang='ja',
inputFile=inputFilePath,
targetColumnName='contents',
indexColumnName='docIndex',
encoding='utf-8',
sheetName='',
min=2,
max=5,
model='lda',
nSentence=2,
nTopWords=15,
pathNeologdDict='/usr/local/lib/mecab/dic/mecab-ipadic-neologd/',
pathUserDict='',
osType='mac',
dockerId=dockerId,
dockerSudo=dockerSudo,
mailTo='',
mailFrom='',
subject='',
workingDir='easyTopicClustering/tmpDir',
pathParamConfig=pathConfigFile,
pathStopWord=pathStopWords)
file_parser = Parser(param_object)
targetSentenceFrame = file_parser.load_data()
documents, dictionaryObj = pre_process(targetSentenceFrame.targetColumnName.tolist(), param_object)
def test_parser_csvfile(self):
inputFilePath = 'resources/inputSample.xlsx'
projectName = 'example'
pathConfigFile = 'resources/ldaConfig.ini'
pathStopWords = 'resources/stopWord.csv'
docker_sudo = False
dockerID = 'aa2685b94082'
pathNeologd = "/usr/local/lib/mecab/dic/mecab-ipadic-neologd/"
pathUserDict = ""
param_object = Params(projectName=projectName,
lang='ja',
inputFile=inputFilePath,
targetColumnName='contents',
indexColumnName='docIndex',
encoding='utf-8',
sheetName='Sheet1',
min=2,
max=5,
model='lda',
nSentence=2,
nTopWords=15,
pathNeologdDict=pathNeologd,
pathUserDict=pathUserDict,
osType='mac',
dockerId=dockerID,
dockerSudo=docker_sudo,
mailTo='',
mailFrom='',
subject='',
workingDir='easyTopicClustering/tmpDir',
pathParamConfig=pathConfigFile,
pathStopWord=pathStopWords)
file_parser = Parser(param_object)
targetSentenceFrame = file_parser.load_data()
assert isinstance(targetSentenceFrame, DataFrame)
