c2c-oerpscenario team mailing list archive

["Nicolas Bustillos \(Poiesis\)" <889315@xxxxxxxxxxxxxxxxxx>]

Public bug reported:

When using the component csv_in on a Job and starting the Process, it
will return an exception because a non-dictionary value was given as
'csv_params' parameter. After some in depth debugging I found the error
to be in  /etl_interface/etl_component/input/csv_in.py (ver
6.0.3,revision 5499, Line 49):

       val =etl.component.input.csv_in(conn_instance, cmp.csv_params and
eval(cmp.csv_params) or {}, cmp.name, trans_instance, cmp.row_limit)

The problem is, that the 'etl' python library will receive the
parameters in the order that they are given, which will lead to a
complete scramble of variables. Considering how the __init__ function is
defined, the correct way to call this instance would be:

     val =etl.component.input.csv_in(conn_instance, name=cmp.name,
transformer=trans_instance, row_limit=cmp.row_limit,
csv_params=(cmp.csv_params and eval(cmp.csv_params) or {}))


Hope it helps.

** Affects: openobject-addons
     Importance: Undecided
         Status: New


** Tags: etl

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https://bugs.launchpad.net/bugs/889315

Title:
  etl_interface: wrong csv_params when processing csv_in

Status in OpenERP Addons (modules):
  New

Bug description:
  When using the component csv_in on a Job and starting the Process, it
  will return an exception because a non-dictionary value was given as
  'csv_params' parameter. After some in depth debugging I found the
  error to be in  /etl_interface/etl_component/input/csv_in.py (ver
  6.0.3,revision 5499, Line 49):

         val =etl.component.input.csv_in(conn_instance, cmp.csv_params
  and eval(cmp.csv_params) or {}, cmp.name, trans_instance,
  cmp.row_limit)

  The problem is, that the 'etl' python library will receive the
  parameters in the order that they are given, which will lead to a
  complete scramble of variables. Considering how the __init__ function
  is defined, the correct way to call this instance would be:

       val =etl.component.input.csv_in(conn_instance, name=cmp.name,
  transformer=trans_instance, row_limit=cmp.row_limit,
  csv_params=(cmp.csv_params and eval(cmp.csv_params) or {}))

  
  Hope it helps.

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