def do_import_reco(file_path) -> Recommendation:
reco_dataframe = pd.read_csv(file_path)
total_reco = new_reco = 0
for row in reco_dataframe.itertuples():
if str(row.benefit) == 'nan':
continue
reco = Recommendation.query.get(row.id)
if not reco:
reco = Recommendation()
reco.id = row.id
new_reco += 1
reco.title = row.title
if str(row.content) != 'nan':
reco.content = row.content
# TODO: temporary with set a default value
else:
reco.content = "Contenu non défini"
if str(row.benefit) != 'nan':
reco.benefit = row.benefit
else:
reco.benefit = 0.0
if str(row.benefit_description) != 'nan':
reco.benefit_description = row.benefit_description
if str(row.how_to) != 'nan':
reco.how_to = row.how_to
reco.type = FootprintType({'label': row.category})
total_reco += 1
BaseObject.check_and_save(reco)
print('Recommendations updated : %s' % str(total_reco - new_reco))
print('Recommendations created : %s' % new_reco)
def execute(self, user: User, data) -> Recommendation:
if user is None:
raise BadUserException()
if data is None:
raise BadArgException
recommendation = Recommendation()
recommendation.user_id = user.id
recommendation.title = data.get('title')
recommendation.content = data.get('content')
recommendation.estimated_success_time = data.get(
'estimated_success_time')
recommendation.difficulty_level = data.get('difficulty_level')
recommendation.benefit = data.get('benefit')
recommendation.type = data.get('type')
BaseObject.check_and_save(recommendation)
return recommendation