def test_trend_analysis(filter_data_path, graph_data_path):
target_corpus_path = path.join(ta_path, 'target_corpus.csv')
reference_corpus_path = path.join(ta_path, 'reference_corpus.csv')
trend_analysis.analyze(target_corpus_path, reference_corpus_path,
target_corpus_path, reference_corpus_path)
assert os.path.isfile(filter_data_path)
assert os.path.isfile(graph_data_path)
def re_analyze():
logger.info("re-analysing scores")
label.text = "Re-Analysing... Please Wait..."
global gd
if isfile(target_scores_path) and isfile(ref_scores_path):
analyze(target_scores_path,
ref_scores_path,
tar_header=target_data_name,
ref_header=ref_data_name,
re_analysis=True,
tfidf_w=float(tfidf_slider.value),
cval_w=float(cval_slider.value),
lm_w=float(freq_slider.value))
gd = None
create_graphs(top_n_dropdown.value, int(top_n_clusters_dropdown.value))
if radio_group_area.active == 0:
handle_selected_graph(0)
else:
radio_group_area.active = 0
label.text = "Done!"
time.sleep(2)
label.text = ""
else:
logger.info("scores files are missing")
label.text = "Error: scores files are missing!"
time.sleep(2)
logger.info("re-analysing done")
