PURPOSE
=======
Provide import templates to ease the import process
Specification
=============
SPECIFICATION
==============
1/ Add specific templates to import screens: e.g. for product.template, res.partner and bank statements
2/ Replace import files suggested in planners (sales & website) by those ones.
3/ Add import template to bank statement import wizard for CSV, OFX, QIF and CODA files
Currently when importing files, the parent left and right are recomputed on each record creation/update, which could lead to a lot a request.
This commit will defer the parent field recomputation to the end on the `load` function by recomputing the values from the MPTT and inserting directly the new values on the records.
Tested on a customer instance, this will reduce the execution time when importing a thousand stock.location from 15 minutes to several seconds.
Use case to reproduce:
-> Import a file with a float using a coma related to the model
(for example the product.supplierinfo/price)
It happens because the method that parse the date and float field
only compare them to the main imported model.
This commit complete the method by using a recursion on relational
model in order to also parse the relational subfields.
Steps to reproduce the bug:
1. Import a bank statement with the shown dateformad DDMMYYYY (without headers)
2. Specify this date format in the advanced options
3. Try to find the date column to assign.
Bug:
The date format is not suggested for the fields with format DDMMYYYY.
opw:769118
- Import a CSV file without header
- Untick the option 'The first row contains the label of the column'
An error is reported.
If no header, the method `_match_headers` should return consistent
object types.
opw-769117
Now that we're closer to switching to P3 for good, these helpers have
outlived their usefulness, and mostly add noise.
All remaining dict.iter*() or dict.view*() must be converted to the
normal keys(), values() or items() calls.
Whenever the result is likely to be used for more than the scope of a
loop, or when the dict needs to be modified during iteration, the calls
must be wrapped in a ``list()``, to protect the new P3 semantics.
Those cases are very exceptional.
Also removed some dead code or improved the API to remove unnecessary
conversions.
* remove references to basestring & unicode (use relevant pycompat
helpers)
* remove some str calls (either entirely or replaced by relevant
helper, either text or native)
* use better API to avoid unnecessary conversions
* remove some XML declarations in views
* StringIO removed from stdlib, replace with io
* try to correctly handle BytesIO/StringIO (one is for bytes the other
is for text)
* fix base64: Python 3 removed bytes-encoding and bytes-bytes
codecs (via #encode) so replace all calls to str.encode('base64'),
also b64encode is a bytes->bytes conversion so attempt to properly
handle that
issue #8530
Christophe Simonis