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Posted to commits@airflow.apache.org by "Teddy Hartanto (Jira)" <ji...@apache.org> on 2020/01/06 03:56:00 UTC
[jira] [Created] (AIRFLOW-6481) SalesforceHook attempts to use .str
accessor
Teddy Hartanto created AIRFLOW-6481:
---------------------------------------
Summary: SalesforceHook attempts to use .str accessor
Key: AIRFLOW-6481
URL: https://issues.apache.org/jira/browse/AIRFLOW-6481
Project: Apache Airflow
Issue Type: Bug
Components: hooks
Affects Versions: 1.10.7
Reporter: Teddy Hartanto
I've searched through Airflow's issues and couldn't find any report regarding this. I wonder if I'm the only one who's facing this?
*Bug description*
I'm using the SalesforceHook to fetch data from SalesForce and I encountered this exception:
{code:java}
AttributeError: ('Can only use .str accessor with string values, which use np.object_ dtype in pandas', ...)
{code}
This exception occurs here:
{code:java}
if fmt == "csv":
# there are also a ton of newline objects
# that mess up our ability to write to csv
# we remove these newlines so that the output is a valid CSV format
self.log.info("Cleaning data and writing to CSV")
possible_strings = df.columns[df.dtypes == "object"]
df[possible_strings] = df[possible_strings].apply(
lambda x: x.str.replace("\r\n", "")
)
df[possible_strings] = df[possible_strings].apply(
lambda x: x.str.replace("\n", "")
)
# write the dataframe
df.to_csv(filename, index=False)
{code}
**To fix it, we should just cast the object type to string as such:
{code:java}
if fmt == "csv":
...
df[possible_strings] = df[possible_strings].astype(str).apply(
lambda x: x.str.replace("\r\n", "")
)
df[possible_strings] = df[possible_strings].astype(str).apply(
lambda x: x.str.replace("\n", "")
)
{code}
I've tested this and it works for me. Could somebody help me verify that the type conversion is indeed needed? If yes, I'm keen to submit a PR to fix this with the unit test included.
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