[IMP] add information to _match_headers
bzr revid: xmo@openerp.com-20120814120737-0zuxqyjhnnx1aye3
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@@ -24,6 +24,7 @@ class ir_import(orm.TransientModel):
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'res_model': fields.char('Model', size=64),
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'file': fields.binary('File'),
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'file_name': fields.char('File Name', size=None),
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'file_mime': fields.char('File Type', size=None),
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}
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def get_fields(self, cr, uid, model, context=None,
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@@ -174,19 +175,20 @@ class ir_import(orm.TransientModel):
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Will consume the first line of the ``rows`` iterator.
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Returns either None (no title) or a dict mapping cell indices
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Returns a pair of (None, None) if headers were not requested
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or the list of headers and a dict mapping cell indices
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to key paths in the ``fields`` tree
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:param Iterator rows:
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:param dict fields:
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:param dict options:
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:rtype: None | dict(int: list(str))
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:rtype: (None, None) | (list(str), dict(int: list(str)))
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"""
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if not options.get('headers'):
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return None
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return None, None
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headers = next(rows)
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return dict(
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return headers, dict(
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(index, [field['name'] for field in self._match_header(header, fields, options)] or None)
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for index, header in enumerate(headers)
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)
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@@ -196,13 +198,16 @@ class ir_import(orm.TransientModel):
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fields-matching between the import's file data and the model's
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columns.
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If the headers are not requested (not options.headers),
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``matches`` and ``headers`` are both ``False``.
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:param id: identifier of the import
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:param int count: number of preview lines to generate
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:param options: format-specific options.
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CSV: {encoding, quote, separator, headers}
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:type options: {str, str, str, bool}
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:returns: {fields, matches, preview} | {error, preview}
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:rtype: {dict(str: dict(...)), dict(int, list(str)), list(list(str))} | {str, str}
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:returns: {fields, matches, headers, preview} | {error, preview}
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:rtype: {dict(str: dict(...)), dict(int, list(str)), list(str), list(list(str))} | {str, str}
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"""
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(record,) = self.browse(cr, uid, [id], context=context)
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fields = self.get_fields(cr, uid, record.res_model, context=context)
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@@ -210,13 +215,14 @@ class ir_import(orm.TransientModel):
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try:
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rows = self._read_csv(record, options)
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match = self._match_headers(rows, fields, options)
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headers, matches = self._match_headers(rows, fields, options)
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# Match should have consumed the first row (iif headers), get
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# the ``count`` next rows for preview
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preview = itertools.islice(rows, count)
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return {
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'fields': fields,
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'matches': match,
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'matches': matches or False,
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'headers': headers or False,
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'preview': list(preview),
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}
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except (TypeError, UnicodeDecodeError), e:
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