问过类似的问题,但决定将我的管道分解为更少的步骤,以更深入地了解我要去哪里,并使调试尽可能容易。
在我的第一堂课上,我要学习一个庞大的csv,并根据用户的当前状态将其分为多个csv。然后,我创建了另一个任务,然后查看给定用户是否从一个状态转移到下一个返回1和0的状态,具体取决于这是否发生。
然后,我有了一个包装器类,该类应将参数值动态分配给上一个类。但是,我的管道似乎没有运行,我不确定自己在做什么错
这是我所拥有的:
separate_csv.py:
import luigi
import pandas as pd
class data_filter(luigi.Task):
file = luigi.Parameter()
def run(self):
for current in actions:
file_pd = pd.read_csv(self.file)
actions = file_pd.state.unique()
filter_file = file_pd.loc[file_pd.state.str.contains(current,na=False)]
filter_file.to_csv('/Users/emm/Documents/AttributionData/Data/'+str(current)+'.csv')
def requires(self):
return []
def output(self):
return luigi.LocalTarget('/Users/emm/Documents/AttributionData/Data/complete.csv')
state_to_state_transitions.py:
import luigi
import pandas as pd
import separate_csv as sep
class state_to_state(luigi.Task):
first_file = luigi.Parameter()
second_file = luigi.Parameter()
def run(self):
#iterate through states and find probability of anonymous id existing in next state
path = '/Users/emm/Documents/AttributionData/Data/Probabilities/'
first = pd.read_csv(path+self.first_file)
second = pd.read_csv(path+self.second_file)
first['probability'] = first.anonymous_id.isin(second.anonymous_id).astype(int)
#save anonymous id along with probability (1,0) of whether or not it exists in the next state
with self.output().open('w') as out_csv:
out_csv.write(first[['anonymous_id','probability']].to_csv('/Users/emm/Documents/AttributionData/Data/Probabilities/'+str(self.first_file[:-4]+'to'+self.second_file)))
def requires(self):
files_two = [sep.data_filter(file='/Users/emm/Desktop/Attribution/finalcleanattributiondata.csv')]
return files_two
def output(self):
return luigi.LocalTarget('/Users/emm/Documents/AttributionData/Data/Probabilities/'+str(self.first_file[:-4]+'to'+self.second_file))
wrapper.py
import state_to_state_transitions2 as sst
import pandas as pd
import luigi
class wrapper(luigi.WrapperTask):
def requires(self):
files = ['Session.csv', 'lead.csv', 'opportunity.csv', 'complete.csv']
task_list = []
for i in range(1, len(files)):
task_list.append(sst.state_to_state(first_file=files[i-1],second_file=files[i]))
return task_list
def run(self):
print('Wrapper ran')
pd.DataFrame().to_csv('/Users/emmanuels/Documents/AttributionData/Data/wrangler1.csv')
def output(self):
return luigi.LocalTarget('/Users/emmanuels/Documents/AttributionData/Data/wrangler1.csv')
if __name__ == '__main__':
luigi.build([wrapper()],workers=8,local_scheduler=True)
以下是我的错误消息的一部分:
File "/Users/emm/Documents/GitHub/AttributionModel/Capstone/state_to_state_transitions2.py", line 15, in run
out_csv.write(first[['anonymous_id','probability']].to_csv('/Users/emm/Documents/AttributionData/Data/Probabilities/'+str(self.first_file[:-4]+'to'+self.second_file)))
TypeError: write() argument must be str, not None
DEBUG: 1 running tasks, waiting for next task to finish
INFO: Informed scheduler that task state_to_state_lead_csv_opportunity_csv_b31ac9d110 has status FAILED
DEBUG: Asking scheduler for work...
DEBUG: Done
DEBUG: There are no more tasks to run at this time
DEBUG: There are 4 pending tasks possibly being run by other workers
DEBUG: There are 4 pending tasks unique to this worker
DEBUG: There are 4 pending tasks last scheduled by this worker
INFO: Worker Worker(salt=152474850, workers=1, host=Emms-MacBook-Pro.local, username=***, pid=***) was stopped. Shutting down Keep-Alive thread
INFO:
===== Luigi Execution Summary =====
Scheduled 5 tasks of which:
* 1 present dependencies were encountered:
- 1 data_filter(file=/Users/emm/Desktop/Attribution/finalcleanattributiondata.csv)
* 3 failed:
- 3 state_to_state(first_file=Session.csv, second_file=lead.csv) ...
* 1 were left pending, among these:
* 1 had failed dependencies:
- 1 wrapper()
This progress looks :( because there were failed tasks
答案 0 :(得分:0)
您的问题在这里:
with self.output().open('w') as out_csv:
out_csv.write(first[['anonymous_id','probability']].to_csv('/Users/emm/Documents/AttributionData/Data/Probabilities/'+str(self.first_file[:-4]+'to'+self.second_file)))
您需要拥有first[['anonymous_id','probability']].to_csv(file_name)
来返回包含csv数据的字符串,而不是使用file_name
来写入文件first[['anonymous_id','probability']].to_csv()
。
总的来说,您应该:
with self.output().open('w') as out_csv:
out_csv.write(first[['anonymous_id','probability']].to_csv())