def index_data(data_folder, output_folder, project_name, cfg_folder,
num_topics=DEFAULT_NUM_TOPICS, num_passes=DEFAULT_NUM_PASSES,
min_token_freq=MIN_TOKEN_FREQ, min_token_len=MIN_TOKEN_LEN,
max_token_len=MAX_TOKEN_LEN, log_to_file=False, lemmatize=False,
stem=False, nonascii=True, procs=4, limitmb=512, multisegment=True):
def save_config(cfg_file_name, config):
# Writing our configuration file
with open(cfg_file_name, 'w') as configfile:
config.write(configfile)
logging.info('The project configuration file is written to %s',
cfg_file_name)
# print 'The project configuration file is written to', cfg_file_name
if not os.path.exists(data_folder):
logging.error("Please provide a valid data folder!")
sys.exit(1)
# Checks whether the output folder exists
if not os.path.exists(output_folder):
os.makedirs(output_folder)
# Checks whether the project folder exists
project_folder = os.path.join(output_folder, project_name)
if not os.path.exists(project_folder):
os.makedirs(project_folder)
tm_folder = os.path.join(project_folder, TM_FOLDER_NAME)
whoosh_folder = os.path.join(project_folder, WHOOSH_FOLDER_NAME)
dict_file = os.path.join(tm_folder, project_name + '.dict')
ldac_file = os.path.join(tm_folder, project_name + '.ldac')
cfg_file_name = os.path.join(cfg_folder, project_name + '.cfg')
# Create file handler which logs debug messages
if log_to_file:
log_file_name = os.path.join(cfg_folder, project_name + '.log')
logging.basicConfig(filename=log_file_name, format=LOG_FORMAT,
level=logging.DEBUG)
print "Log file:", log_file_name
else:
logging.basicConfig(format=LOG_FORMAT, level=logging.DEBUG)
# Handling the project configuration file
logging.info('Indexing Configurations:')
logging.info('Project: %s', project_name)
logging.info('Number of LDA topics: %d', num_topics)
logging.info('Number of LDA passes: %d', num_passes)
logging.info('Number of LSA topics: %d', LSI_DEFAULT_NUM_TOPICS)
config = ConfigParser.RawConfigParser()
if os.path.exists(cfg_file_name): config.read(cfg_file_name)
if not config.has_section('DATA'):
config.add_section('DATA')
config.set('DATA', 'name', project_name)
config.set('DATA', 'root_dir', os.path.normpath(data_folder))
config.set('DATA', 'project_dir', os.path.normpath(project_folder))
config.set('DATA', 'output_folder', os.path.normpath(output_folder))
save_config(cfg_file_name, config)
print "Indexing documents...."
start_time = time.time()
if not config.has_section('WHOOSH'):
logging.info('================================= BEGIN WHOOSH INDEXING')
if not os.path.exists(whoosh_folder): os.makedirs(whoosh_folder)
path_index_file_name = os.path.join(project_folder,
project_name + '.path.index')
# index_plain_text_emails(data_folder, path_index_file_name,
# whoosh_folder, lemmatize=lemmatize,
# stem=stem, nonascii=nonascii)
index_plain_text_emails2(data_folder, path_index_file_name,
whoosh_folder, stem,
min_token_len, max_token_len,
procs, limitmb, multisegment)
config.add_section('WHOOSH')
config.set('WHOOSH', 'whoosh_index_dir',
os.path.normpath(whoosh_folder))
config.set('WHOOSH', 'path_index_file',
os.path.normpath(path_index_file_name))
config.set('WHOOSH', 'lemmatize', lemmatize)
config.set('WHOOSH', 'stem', stem)
config.set('WHOOSH', 'nonascii', nonascii)
save_config(cfg_file_name, config)
logging.info('================================= END WHOOSH INDEXING')
print '\nIndexing time:', (time.time() - start_time), 'seconds'
print "Corpus building...."
start_time = time.time()
if not config.has_section('CORPUS'):
logging.info('=============================== BEGIN CORPUS BUILDING')
if not os.path.exists(tm_folder): os.makedirs(tm_folder)
path_index_file_name = os.path.join(tm_folder,
project_name + '.path.index')
# build_lda_corpus(whoosh_folder, path_index_file_name, dict_file,
# ldac_file, min_token_freq, min_token_len,
# max_token_len)
build_lda_corpus2(whoosh_folder, path_index_file_name, dict_file,
ldac_file, min_token_freq, min_token_len,
max_token_len, stem)
config.add_section('CORPUS')
config.set('CORPUS', 'tm_folder', os.path.normpath(tm_folder))
config.set('CORPUS', 'path_index_file',
os.path.normpath(path_index_file_name))
config.set('CORPUS', 'blei_corpus_file', os.path.normpath(ldac_file))
config.set('CORPUS', 'dict_file', os.path.normpath(dict_file))
config.set('CORPUS', 'vocab_file',
os.path.normpath(ldac_file + '.vocab'))
config.set('CORPUS', 'min_token_freq', min_token_freq)
config.set('CORPUS', 'min_token_len', min_token_len)
config.set('CORPUS', 'max_token_len', 20)
save_config(cfg_file_name, config)
logging.info('=============================== END CORPUS BUILDING')
print '\nCorpus building time:', (time.time() - start_time), 'seconds'
# project_name = os.path.normpath(project_name)
print "Topic modeling...."
start_time = time.time()
if not config.has_section('LDA'):
logging.info('=============================== BEGIN LDA ESTIMATION')
lda_model_file = os.path.join(tm_folder, project_name + '.lda')
lda_beta_file = os.path.join(tm_folder, project_name + '.lda.beta')
lda_theta_file = os.path.join(tm_folder, project_name + '.lda.theta')
lda_cos_index_file = os.path.join(tm_folder,
project_name + '.lda.cos.index')
run_lda_estimation(dict_file, ldac_file, lda_model_file, lda_beta_file,
lda_theta_file, lda_cos_index_file, num_topics,
num_passes)
config.add_section('LDA')
config.set('LDA', 'lda_model_file', lda_model_file)
config.set('LDA', 'lda_beta_file', lda_beta_file)
config.set('LDA', 'lda_theta_file', lda_theta_file)
config.set('LDA', 'lda_cos_index_file', lda_cos_index_file)
config.set('LDA', 'num_topics', str(num_topics))
config.set('LDA', 'num_passes', str(num_passes))
save_config(cfg_file_name, config)
logging.info('=============================== END LDA ESTIMATION')
# logging.info('=============================== BEGIN LSI ESTIMATION')
#
# # Commented LSI due to an error from python interpreter on Feb 04, 2014
#
# lsi_model_file = os.path.join(tm_folder, project_name + '.lsi')
# lsi_beta_file = os.path.join(tm_folder, project_name + '.lsi.beta')
# lsi_theta_file = os.path.join(tm_folder, project_name + '.lsi.theta')
# lsi_cos_index_file = os.path.join(tm_folder, project_name + '.lsi.cos.index')
# #
#
# run_lsi_estimation(dict_file, ldac_file, lsi_model_file, lsi_beta_file, lsi_theta_file, lsi_cos_index_file, LSI_DEFAULT_NUM_TOPICS)
#
# config.add_section('TFIDF')
# config.set('TFIDF', 'tfidf_file', lsi_theta_file.replace('lsi', 'tfidf'))
#
# config.add_section('LSI')
# config.set('LSI', 'lsi_model_file', lsi_model_file)
# config.set('LSI', 'lsi_beta_file', lsi_beta_file)
# config.set('LSI', 'lsi_theta_file', lsi_theta_file)
# config.set('LSI', 'lsi_cos_index_file', lsi_cos_index_file)
# config.set('LSI', 'lsi_num_topics', str(LSI_DEFAULT_NUM_TOPICS))
#
#
# logging.info('=============================== END LSI ESTIMATION')
if not config.has_section('TFIDF'):
logging.info('=============================== BEGIN TFIDF')
tfidf_theta_file = os.path.join(tm_folder, project_name + '.tfidf.theta')
run_tfidf(dict_file, ldac_file, tfidf_theta_file)
config.add_section('TFIDF')
config.set('TFIDF', 'tfidf_file', tfidf_theta_file)
save_config(cfg_file_name, config)
logging.info('=============================== END TFIDF')
print '\nTopic modeling time:', (time.time() - start_time), 'seconds'
def index_data(data_folder, output_folder, project_name, cfg_folder,
num_topics=DEFAULT_NUM_TOPICS, num_passes=DEFAULT_NUM_PASSES,
min_token_freq=MIN_TOKEN_FREQ, min_token_len=MIN_TOKEN_LEN,
log_to_file=True, lemmatize=False, stem=False, nonascii=True):
if not os.path.exists(data_folder):
print "Please provide a valid data folder!"
sys.exit(1)
# Checks whether the output folder exists
if not os.path.exists(output_folder):
os.makedirs(output_folder)
# Checks whether the project folder exists
project_folder = os.path.join(output_folder, project_name)
if not os.path.exists(project_folder):
os.makedirs(project_folder)
# Create file handler which logs debug messages
log_file_name = '%s.log' % os.path.join(project_folder, project_name)
if log_to_file:
logging.basicConfig(filename=log_file_name,
format='%(asctime)s : %(levelname)s : %(message)s',
level=logging.DEBUG)
else:
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s',
level=logging.DEBUG)
# Handling the project configuration file
print 'Indexing Configurations:'
print 'Project:', project_name
print 'Number of LDA topics:', num_topics
print 'Number of LDA passes:', num_passes
print 'Number of LSA topics:', LSI_DEFAULT_NUM_TOPICS
cfg_file_name = os.path.join( cfg_folder , project_name + '.cfg' )
config = ConfigParser.RawConfigParser()
config.add_section('DATA')
config.set('DATA', 'name', project_name)
config.set('DATA', 'root_dir', os.path.normpath(data_folder)) # may need to change the name
config.set('DATA', 'project_dir', os.path.normpath(project_folder))
config.set('DATA', 'log_file', os.path.normpath(log_file_name))
config.set('DATA', 'output_folder', os.path.normpath(output_folder))
logging.info('================================================== BEGIN LUCENE INDEXING ==================================================')
lucene_folder = os.path.join(project_folder, LUCENE_FOLDER_NAME)
if not os.path.exists(lucene_folder): os.makedirs(lucene_folder)
path_index_file_name = os.path.join(project_folder, project_name + '.path.index')
index_plain_text_emails(data_folder, path_index_file_name, lucene_folder,
lemmatize=lemmatize, stem=stem, nonascii=nonascii)
config.add_section('LUCENE')
config.set('LUCENE', 'lucene_index_dir', os.path.normpath(lucene_folder))
config.set('LUCENE', 'path_index_file', os.path.normpath(path_index_file_name))
logging.info('================================================== END LUCENE INDEXING ==================================================')
logging.info('================================================== BEGIN CORPUS BUILDING ==================================================')
'''
Consider all elements in emails for creating the LDA corpus,
i.e., it uses the MetaDataType.ALL field in the Lucene index
'''
tm_folder = os.path.join(project_folder, TM_FOLDER_NAME)
if not os.path.exists(tm_folder): os.makedirs(tm_folder)
dict_file = os.path.join(tm_folder, project_name + '.dict')
ldac_file = os.path.join(tm_folder, project_name + '.ldac')
path_index_file_name = os.path.join(tm_folder, project_name + '.path.index') # it's for topic modeling alone
build_lda_corpus(lucene_folder, path_index_file_name, dict_file, ldac_file,
min_token_freq, min_token_len)
config.add_section('CORPUS')
config.set('CORPUS', 'tm_folder', os.path.normpath(tm_folder))
config.set('CORPUS', 'path_index_file', os.path.normpath(path_index_file_name))
config.set('CORPUS', 'blei_corpus_file', os.path.normpath(ldac_file))
config.set('CORPUS', 'dict_file', os.path.normpath(dict_file))
config.set('CORPUS', 'vocab_file', os.path.normpath(ldac_file + '.vocab'))
logging.info('================================================== END CORPUS BUILDING ==================================================')
project_name = os.path.normpath(project_name)
logging.info('================================================== BEGIN LDA ESTIMATION ==================================================')
lda_model_file = os.path.join(tm_folder, project_name + '.lda')
lda_beta_file = os.path.join(tm_folder, project_name + '.lda.beta')
lda_theta_file = os.path.join(tm_folder, project_name + '.lda.theta')
lda_cos_index_file = os.path.join(tm_folder, project_name + '.lda.cos.index')
run_lda_estimation(dict_file, ldac_file, lda_model_file, lda_beta_file,
lda_theta_file, lda_cos_index_file, num_topics, num_passes)
# run_hdp_estimation(dict_file, ldac_file, lda_model_file, lda_beta_file, lda_theta_file, lda_cos_index_file)
config.add_section('LDA')
config.set('LDA', 'lda_model_file', lda_model_file)
config.set('LDA', 'lda_beta_file', lda_beta_file)
config.set('LDA', 'lda_theta_file', lda_theta_file)
config.set('LDA', 'lda_cos_index_file', lda_cos_index_file)
config.set('LDA', 'num_topics', str(num_topics))
config.set('LDA', 'num_passes', str(num_passes))
logging.info('================================================== END LDA ESTIMATION ==================================================')
# logging.info('================================================== BEGIN LSI ESTIMATION ==================================================')
#
# # Commented LSI due to an error from python interpreter on Feb 04, 2014
#
# lsi_model_file = os.path.join(tm_folder, project_name + '.lsi')
# lsi_beta_file = os.path.join(tm_folder, project_name + '.lsi.beta')
# lsi_theta_file = os.path.join(tm_folder, project_name + '.lsi.theta')
# lsi_cos_index_file = os.path.join(tm_folder, project_name + '.lsi.cos.index')
# #
#
# run_lsi_estimation(dict_file, ldac_file, lsi_model_file, lsi_beta_file, lsi_theta_file, lsi_cos_index_file, LSI_DEFAULT_NUM_TOPICS)
#
# config.add_section('TFIDF')
# config.set('TFIDF', 'tfidf_file', lsi_theta_file.replace('lsi', 'tfidf'))
#
# config.add_section('LSI')
# config.set('LSI', 'lsi_model_file', lsi_model_file)
# config.set('LSI', 'lsi_beta_file', lsi_beta_file)
# config.set('LSI', 'lsi_theta_file', lsi_theta_file)
# config.set('LSI', 'lsi_cos_index_file', lsi_cos_index_file)
# config.set('LSI', 'lsi_num_topics', str(LSI_DEFAULT_NUM_TOPICS))
#
#
# logging.info('================================================== END LSI ESTIMATION ==================================================')
logging.info('================================================== BEGIN TFIDF ==================================================')
tfidf_theta_file = os.path.join(tm_folder, project_name + '.tfidf.theta')
run_tfidf(dict_file, ldac_file, tfidf_theta_file)
config.add_section('TFIDF')
config.set('TFIDF', 'tfidf_file', tfidf_theta_file)
logging.info('================================================== END TFIDF ==================================================')
# Writing our configuration file to 'project.cfg'
with open(cfg_file_name, 'w') as configfile:
config.write(configfile)
logging.info('The project configuration file is written to %s', cfg_file_name)
print 'Indexing is completed. The project configuration file is written to', cfg_file_name
def index_data2(data_folder, output_folder, project_name,
num_topics=DEFAULT_NUM_TOPICS, num_passes=DEFAULT_NUM_PASSES,
min_token_freq=MIN_TOKEN_FREQ, min_token_len=MIN_TOKEN_LEN,
max_token_len=MAX_TOKEN_LEN, stem=False, procs=4, limitmb=512,
multisegment=True):
def save_config(cfg_file_name, config):
# Writing our configuration file
with open(cfg_file_name, 'w') as configfile:
config.write(configfile)
logging.info('The project configuration file is written to %s',
cfg_file_name)
if not os.path.exists(data_folder):
logging.error("Please provide a valid data folder!")
sys.exit(1)
# Checks whether the output folder exists
if not os.path.exists(output_folder):
os.makedirs(output_folder)
# Checks whether the project folder exists
project_folder = os.path.join(output_folder, project_name)
if not os.path.exists(project_folder):
os.makedirs(project_folder)
tm_folder = os.path.join(project_folder, TM_FOLDER_NAME)
whoosh_folder = os.path.join(project_folder, WHOOSH_FOLDER_NAME)
dict_file = os.path.join(tm_folder, project_name + '.dict')
ldac_file = os.path.join(tm_folder, project_name + '.ldac')
cfg_file_name = os.path.join(output_folder, project_name + '.cfg')
# Handling the project configuration file
logging.info('Indexing Configurations:')
logging.info('Project: %s', project_name)
logging.info('LDA Number of topics: %d', num_topics)
logging.info('LDA Number of passes: %d', num_passes)
config = ConfigParser.RawConfigParser()
if os.path.exists(cfg_file_name): config.read(cfg_file_name)
if not config.has_section('DATA'):
config.add_section('DATA')
config.set('DATA', 'name', project_name)
config.set('DATA', 'root_dir', os.path.normpath(data_folder))
config.set('DATA', 'project_dir', os.path.normpath(project_folder))
config.set('DATA', 'output_folder', os.path.normpath(output_folder))
save_config(cfg_file_name, config)
#print "Indexing documents...."
start_time = time.time()
if not config.has_section('WHOOSH'):
logging.info('================================= BEGIN WHOOSH INDEXING')
if not os.path.exists(whoosh_folder): os.makedirs(whoosh_folder)
path_index_file_name = os.path.join(project_folder,
project_name + '.path.index')
index_plain_text_emails2(data_folder, path_index_file_name,
whoosh_folder, stem,
min_token_len, max_token_len,
procs, limitmb, multisegment)
config.add_section('WHOOSH')
config.set('WHOOSH', 'whoosh_index_dir',
os.path.normpath(whoosh_folder))
config.set('WHOOSH', 'path_index_file',
os.path.normpath(path_index_file_name))
config.set('WHOOSH', 'stem', stem)
save_config(cfg_file_name, config)
logging.info('================================= END WHOOSH INDEXING')
print '\nIndexing time:', (time.time() - start_time), 'seconds'
#print "Corpus building...."
start_time = time.time()
if not config.has_section('CORPUS'):
logging.info('=============================== BEGIN CORPUS BUILDING')
if not os.path.exists(tm_folder): os.makedirs(tm_folder)
path_index_file_name = os.path.join(tm_folder,
project_name + '.path.index')
build_lda_corpus2(whoosh_folder, path_index_file_name, dict_file,
ldac_file, min_token_freq, min_token_len,
max_token_len, stem)
config.add_section('CORPUS')
config.set('CORPUS', 'tm_folder', os.path.normpath(tm_folder))
config.set('CORPUS', 'path_index_file',
os.path.normpath(path_index_file_name))
config.set('CORPUS', 'blei_corpus_file', os.path.normpath(ldac_file))
config.set('CORPUS', 'dict_file', os.path.normpath(dict_file))
config.set('CORPUS', 'vocab_file',
os.path.normpath(ldac_file + '.vocab'))
config.set('CORPUS', 'min_token_freq', min_token_freq)
config.set('CORPUS', 'min_token_len', min_token_len)
config.set('CORPUS', 'max_token_len', 20)
save_config(cfg_file_name, config)
logging.info('=============================== END CORPUS BUILDING')
print '\nCorpus building time:', (time.time() - start_time), 'seconds'
#print "Topic modeling...."
start_time = time.time()
if not config.has_section('LDA'):
logging.info('=============================== BEGIN LDA ESTIMATION')
lda_model_file = os.path.join(tm_folder, project_name + '.lda')
lda_beta_file = os.path.join(tm_folder, project_name + '.lda.beta')
lda_theta_file = os.path.join(tm_folder, project_name + '.lda.theta')
lda_cos_index_file = os.path.join(tm_folder,
project_name + '.lda.cos.index')
run_lda_estimation(dict_file, ldac_file, lda_model_file, lda_beta_file,
lda_theta_file, lda_cos_index_file, num_topics,
num_passes)
config.add_section('LDA')
config.set('LDA', 'lda_model_file', lda_model_file)
config.set('LDA', 'lda_beta_file', lda_beta_file)
config.set('LDA', 'lda_theta_file', lda_theta_file)
config.set('LDA', 'lda_cos_index_file', lda_cos_index_file)
config.set('LDA', 'num_topics', str(num_topics))
config.set('LDA', 'num_passes', str(num_passes))
save_config(cfg_file_name, config)
logging.info('=============================== END LDA ESTIMATION')
if not config.has_section('TFIDF'):
logging.info('=============================== BEGIN TFIDF')
tfidf_theta_file = os.path.join(tm_folder, project_name + '.tfidf.theta')
run_tfidf(dict_file, ldac_file, tfidf_theta_file)
config.add_section('TFIDF')
config.set('TFIDF', 'tfidf_file', tfidf_theta_file)
save_config(cfg_file_name, config)
logging.info('=============================== END TFIDF')
print '\nTopic modeling time:', (time.time() - start_time), 'seconds'
def index_and_tm(data_folder, output_folder, project_name, num_topics,
num_passes, min_token_freq, min_token_len, max_token_len,
stem=False, procs=4, limitmb=512, multisegment=True):
if not os.path.exists(data_folder):
logging.error("Please provide a valid data folder!")
sys.exit(1)
# Checks whether the output folder exists
if not os.path.exists(output_folder):
os.makedirs(output_folder)
# Checks whether the project folder exists
project_folder = os.path.join(output_folder, project_name)
if not os.path.exists(project_folder):
os.makedirs(project_folder)
tm_folder = os.path.join(project_folder, TM_FOLDER_NAME)
whoosh_folder = os.path.join(project_folder, WHOOSH_FOLDER_NAME)
# Handling the project configuration file
logging.info('Indexing Configurations:')
logging.info('Project: %s', project_name)
#print "Indexing documents...."
start_time = time.time()
logging.info('================================= BEGIN WHOOSH INDEXING')
if not os.path.exists(whoosh_folder): os.makedirs(whoosh_folder)
path_index_file_name = os.path.join(project_folder,
project_name + '.path.index')
index_plain_text_emails2(data_folder, path_index_file_name,
whoosh_folder, stem,
min_token_len, max_token_len,
procs, limitmb, multisegment)
logging.info('================================= END WHOOSH INDEXING')
print '\nIndexing time:', (time.time() - start_time), 'seconds'
#print "Corpus building...."
start_time = time.time()
logging.info('=============================== BEGIN CORPUS BUILDING')
if not os.path.exists(tm_folder): os.makedirs(tm_folder)
dict_file = os.path.join(tm_folder, project_name + '.dict')
ldac_file = os.path.join(tm_folder, project_name + '.ldac')
path_index_file_name = os.path.join(tm_folder, project_name + '.path.index')
build_lda_corpus2(whoosh_folder, path_index_file_name, dict_file,
ldac_file, min_token_freq, min_token_len,
max_token_len, stem)
logging.info('=============================== END CORPUS BUILDING')
print '\nCorpus building time:', (time.time() - start_time), 'seconds'
#print "Topic modeling...."
start_time = time.time()
for k in num_topics:
logging.info('=============================== BEGIN LDA ESTIMATION')
logging.info('LDA Number of topics: %d', k)
logging.info('LDA Number of passes: %d', num_passes)
lda_model_file = os.path.join(tm_folder, project_name + '-K%d-VB.lda' % k)
lda_beta_file = os.path.join(tm_folder, project_name + '-K%d-VB.lda.beta' % k)
lda_theta_file = os.path.join(tm_folder, project_name + '-K%d-VB.lda.theta' % k)
lda_cos_index_file = os.path.join(tm_folder, project_name + '-K%d-VB.lda.cos.index' % k)
run_lda_estimation(dict_file, ldac_file, lda_model_file, lda_beta_file,
lda_theta_file, lda_cos_index_file, k,
num_passes)
logging.info('=============================== END LDA ESTIMATION')
logging.info('=============================== BEGIN TFIDF')
tfidf_theta_file = os.path.join(tm_folder, project_name + '.tfidf.theta')
run_tfidf(dict_file, ldac_file, tfidf_theta_file)
logging.info('=============================== END TFIDF')
print '\nTopic modeling time:', (time.time() - start_time), 'seconds'