def create_post_from(file_path):
p = Post()
tokens = file_path.split('/')[-1].split('_')
p.date = tokens[1]
p.value = tokens[2].split('.')[0].replace(' ', '')
p.source = 'jbtalks'
return p
def read_title(file_path):
file_path = file_path.split('/')[-1]
if (not 'lowyat' in file_path):
return Post()
p = Post()
p.date = file_path.split('_')[1]
p.value = str.lower(file_path.split('_')[3].split('.')[0])
p.origin = file_path
p.source = 'lowyat'
return p
def read_title(file_path):
file_path = file_path.split('/')[-1]
if (not 'carinet' in file_path):
return Post()
p = Post()
p.date = file_path.split('_')[1]
p.value = file_path.split('_')[2].split('.')[0]
p.origin = file_path
p.source = 'carinet'
return p
def parse_facebook_csv(file_path):
result = []
if not file_path.endswith('.csv'):
return result
with open(file_path, 'r') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
p = Post()
p.origin = file_path
p.date = row['status_published']
p.value = str.lower(row['status_message'] + row['link_name'])
p.source = 'facebook'
result.append(p)
return result
def translate_data_to_post(data_list, file_path):
result = []
if data_list is None:
return result
for data in data_list:
if "message" in data and EXTRACT_POST_MESSAGE:
p = Post()
p.date = data["created_time"]
p.value = str.lower(data["message"])
p.source = '_'.join(ntpath.basename(file_path).split("__")[:2])
p.origin = file_path
result.append(p)
if "comments" in data and len(data["comments"]) > 0:
result += translate_data_to_post(data["comments"], file_path)
return result
def parse_jbtalks(file_name):
result = []
result.append(create_post_from(file_name))
date = result[0].date
with open(file_name, 'r', encoding='utf8') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
p = Post()
p.origin = file_name
p.date = date
p.value = HanziConv.toSimplified(row['text'].replace("\n",
"").strip())
p.source = 'jbtalks'
result.append(p)
return result
def parse_lowyat(file_path):
if ("links_retrieved" in file_path):
return [Post()]
result = []
# try:
result.append(read_title(file_path))
with open(file_path, 'r', errors='ignore') as csvfile:
df = pandas.read_csv(csvfile, skiprows=[0])
for index, row in df.iterrows():
if type(row['text']) is not str:
continue
p = Post()
p.date = str(row['date'])
p.value = str.lower(row['text'])
p.origin = file_path
p.source = 'lowyat'
if (isinstance(p.value, str)):
result.append(p)
return result
def parse_blog(file_path):
result = []
with open(file_path, 'r', errors='ignore') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
date = row['column1']
for key, value in row.items():
if (key in ['column1', 'column2'] or value == ''):
continue
p = Post()
p.date = date
p.origin = file_path
p.value = str.lower(value)
p.source = 'blog'
result.append(p)
return result
def parse_carinet(file_path):
result = []
result.append(read_title(file_path))
with open(file_path, 'r', errors='ignore') as csvfile:
df = pandas.read_csv(csvfile, skiprows=[0], error_bad_lines=False)
for index, row in df.iterrows():
p = Post()
p.origin = file_path
p.date = str(row['date'])
if (type(row['text']) is not str):
continue
p.value = HanziConv.toSimplified(row['text'].replace("\n",
"").strip())
p.source = 'carinet'
if (isinstance(p.value, str)):
result.append(p)
return result
def parse_twitter(file_path):
with open(file_path, 'r', errors='ignore') as file:
first_line = file.readline()
if '< HEAD' not in first_line:
file.seek(
0
) # This to make sure the file pointer go backs to the first line
result = []
df = pandas.read_csv(file)
for index, row in df.iterrows():
if type(row['text']) is not str:
continue
p = Post()
p.date = str(row['created_at'])
p.value = str.lower(row['text'])
p.source = 'twitter'
p.origin = file_path
if (isinstance(p.value, str)):
result.append(p)
return result