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Joe Steele
2024-11-03 16:06:27 -05:00
parent 875d2f5c2b
commit 45a9ca04da
1 changed files with 8 additions and 7 deletions
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social.py
+8 -7
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@@ -164,6 +164,7 @@ def get_auth_connect():
xls_wb_df = pd.read_excel('./GoogleScrape/'+ env.xls) xls_wb_df = pd.read_excel('./GoogleScrape/'+ env.xls)
else: else:
input("Not able to find xls file Press any key to continue...") input("Not able to find xls file Press any key to continue...")
wb = ""
ws = wb['Sheet1'] ws = wb['Sheet1']
#xls_wb_df = pd.read_excel(xls) #xls_wb_df = pd.read_excel(xls)
connections |= {'xlsdf':xls_wb_df,'data':ws,'datawb':wb} connections |= {'xlsdf':xls_wb_df,'data':ws,'datawb':wb}
@@ -2255,16 +2256,16 @@ def process_reviews2(outputs):
webcount = xtwittercount = instagramcount = facebookcount = tiktokcount = 0 webcount = xtwittercount = instagramcount = facebookcount = tiktokcount = 0
# webcount=xtwittercount=instagramcount=yelpcount=threadscount=facebookcount=tiktokcount = 0 # webcount=xtwittercount=instagramcount=yelpcount=threadscount=facebookcount=tiktokcount = 0
if env.datasource == 'db': if env.datasource == 'db':
cols2 = ["num","name", "comment", 'rating','picsURL','picsLocalpath','source','date', #cols2 = ["num","name", "comment", 'rating','picsURL','picsLocalpath','source','date',
'address','dictPostComplete'] #'address','dictPostComplete']
rows_orig = list(outputs['data'].iter_rows(min_row=1, max_row=outputs['data'].max_row)) rows_orig = list(outputs['data'].iter_rows(min_row=1, max_row=outputs['data'].max_row))
ttt = list(outputs['data'].iter_rows(min_row=1, max_row=outputs['data'].max_row)) #ttt = list(outputs['data'].iter_rows(min_row=1, max_row=outputs['data'].max_row))
ows_orig = list(outputs['data']) ows_orig = list(outputs['data'])
rows_orig2 = list(outputs['xlsdf'].values) rows_orig2 = list(outputs['xlsdf'].values)
rows3 = outputs['data'].iter_rows(min_row=1, max_row=outputs['data']) #rows3 = outputs['data'].iter_rows(min_row=1, max_row=outputs['data'])
rows4 = pd.DataFrame(outputs['xlsdf']) #rows4 = pd.DataFrame(outputs['xlsdf'])
rows5 = pd.DataFrame(outputs['posts']) #rows5 = pd.DataFrame(outputs['posts'])
rows6 = pd.DataFrame(outputs['data']) #rows6 = pd.DataFrame(outputs['data'])
# df2 = pd.DataFrame(outputs['xlsdf'].values, columns=cols2).iter_rows(min_row=1, max_row=outputs\ # df2 = pd.DataFrame(outputs['xlsdf'].values, columns=cols2).iter_rows(min_row=1, max_row=outputs\
# ['data'].max_row) # ['data'].max_row)
# df3 = pd.DataFrame(outputs['xlsdf'].iter_rows(min_row=1, max_row=outputs['data'].max_row)) # df3 = pd.DataFrame(outputs['xlsdf'].iter_rows(min_row=1, max_row=outputs['data'].max_row))