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This commit is contained in:
Joe Steele
2024-06-26 16:11:28 -04:00
parent 70b7b4ae80
commit 8ffb9f46a8
1 changed files with 17 additions and 16 deletions
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social.py
+17 -16
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@@ -587,7 +587,7 @@ def google_scroll(counter_google_scroll,driver):
scrollable_div
)
time.sleep(3)
print('.')
print('.',end = "")
except AttributeError as e:
print(f"Error while google_scroll: {e}")
break
@@ -693,32 +693,32 @@ def write_to_database(data, local_outputs):
#print("Encode Object into JSON formatted Data using jsonpickle")
jsonposts = jsonpickle.encode(local_outputs['posts'], unpicklable=False)
for processrow in data:
if processrow.name in df.values:
print (' Row ',processrow.id,' ', processrow.name ,' already in database')
d2_row = Posts(name=processrow.name ,comment=processrow.comment,rating=processrow.\
rating,picsURL=processrow.picsURL,pics_local_path=processrow.picsLocalpath,\
source=processrow.source,date=processrow.date,address=processrow.address,\
dict_post_complete=processrow.dictPostComplete)
elif processrow.name is not None:
if processrow[0] in df.values:
print (' Row ',processrow[0],' ', processrow[1] ,' already in database')
d2_row = Posts(name=processrow[0] ,comment=processrow[1],rating=processrow[2]\
,picsURL=processrow[3],picsLocalpath=processrow[4],\
source=processrow[5],date=processrow[6],address=processrow[7],\
dictPostComplete=processrow[8])
elif processrow[0] is not None:
# Create a Python dictionary object with all the column values
# d_row = {'name':processrow.name ,'comment':processrow.comment,'rating':processrow.rating,
# 'picsURL':processrow.picsURL,'pics_local_path':processrow.picsLocalpath, 'source':
# processrow.source,'date':processrow.date,'address':processrow.address,'dict_post_complete'
# :processrow.dictPostComplete}
d2_row = Posts(name=processrow.name ,comment=processrow.comment,rating=processrow.\
rating,picsURL=processrow.picsURL,pics_local_path=processrow.picsLocalpath,\
source=processrow.source,date=processrow.date,address=processrow.address,\
dict_post_complete=processrow.dictPostComplete)
print (' Row ',processrow[0],' ', processrow.name ,' added to XLS sheet')
d2_row = Posts(name=processrow[0] ,comment=processrow[1],rating=processrow[2]\
,picsURL=processrow[3],picsLocalpath=processrow[4],\
source=processrow[5],date=processrow[6],address=processrow[7],\
dictPostComplete=processrow[8])
print (' Row ',processrow[0],' ', processrow[1] ,' added to XLS sheet')
# Append the above Python dictionary object as a row to the existing pandas DataFrame
# Using the DataFrame.append() function
try:
if processrow.name in jsonposts : #local_outputs['posts']):
print (' Row ',processrow[0],' ', processrow.name ,' already in Database')
if processrow[0] in jsonposts : #local_outputs['posts']):
print (' Row ',processrow[0],' ', processrow[1],' already in Database')
else:
local_outputs['postssession'].add(d2_row)
local_outputs['postssession'].commit()
print (' Row ',processrow[0],' ', processrow.name ,' added to Database')
print (' Row ',processrow[0],' ', processrow[1] ,' added to Database')
except AttributeError as error:
print(' Not able to write to post data table: ' , type(error))
local_outputs['postssession'].rollback()
@@ -1341,6 +1341,7 @@ def post_to_wordpress(title,content,headers,date,rating,address,picslist,local_o
# .date()
# except AttributeError as error:
# print(" An error getting date occurred:", error)
visitdate = newdate.strftime("%b%Y")
newdate = str(newdate)
#formatting = '%b/%Y/%d' #specifify the formatting of the date_string.
#newdate2 = dt.datetime.strptime(str(newdate), formatting).date()