[IMP] puts the closure 'process_groupby' in read_group in a separate method. (orm.py)
bzr revid: ged@openerp.com-20140404114543-nw7yx87h1dbkbhtf
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@ -2233,6 +2233,31 @@ class BaseModel(object):
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self._name, order_part)
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return groupby_terms, orderby_terms
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def _read_group_process_groupby(self, gb, fget, query):
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print "==="*20
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print gb
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split = gb.split(':')
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field_type = fget[split[0]]['type']
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gb_function = split[1] if len(split) == 2 else None
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temporal = field_type in ('date', 'datetime')
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tz_convert = field_type == 'datetime' and context.get('tz') in pytz.all_timezones
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qualified_field = self._inherits_join_calc(split[0], query)
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if temporal:
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if tz_convert:
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qualified_field = "timezone('%s', timezone('UTC',%s))" % (context.get('tz', 'UTC'), qualified_field)
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qualified_field = "date_trunc('%s', %s)" % (gb_function or 'month', qualified_field)
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if field_type == 'boolean':
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qualified_field = "coalesce(%s,false)" % qualified_field
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return {
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'field': split[0],
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'groupby': gb,
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'type': field_type,
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'display_format': display_formats[gb_function or 'month'] if temporal else None,
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'interval': time_intervals[gb_function or 'month'] if temporal else None,
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'tz_convert': tz_convert,
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'qualified_field': qualified_field
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}
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def read_group(self, cr, uid, domain, fields, groupby, offset=0, limit=None, context={}, orderby=False, lazy=True):
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"""
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Get the list of records in list view grouped by the given ``groupby`` fields
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@ -2286,30 +2311,9 @@ class BaseModel(object):
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'year': dateutil.relativedelta.relativedelta(years=1)
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}
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def process_groupby (gb):
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split = gb.split(':')
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field_type = fget[split[0]]['type']
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gb_function = split[1] if len(split) == 2 else None
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temporal = field_type in ('date', 'datetime')
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tz_convert = field_type == 'datetime' and context.get('tz') in pytz.all_timezones
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qualified_field = self._inherits_join_calc(split[0], query)
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if temporal:
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if tz_convert:
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qualified_field = "timezone('%s', timezone('UTC',%s))" % (context.get('tz', 'UTC'), qualified_field)
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qualified_field = "date_trunc('%s', %s)" % (gb_function or 'month', qualified_field)
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if field_type == 'boolean':
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qualified_field = "coalesce(%s,false)" % qualified_field
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return {
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'field': split[0],
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'groupby': gb,
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'type': field_type,
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'display_format': display_formats[gb_function or 'month'] if temporal else None,
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'interval': time_intervals[gb_function or 'month'] if temporal else None,
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'tz_convert': tz_convert,
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'qualified_field': qualified_field
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}
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annotated_groupbys = map(process_groupby, groupby[:1] if lazy else groupby)
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groupby_list = groupby[:1] if lazy else groupby
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annotated_groupbys = [self._read_group_process_groupby(gb, fget, query)
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for gb in groupby_list]
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groupby_fields = [g['field'] for g in annotated_groupbys]
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order = orderby or ','.join([g['groupby'] for g in annotated_groupbys])
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groupby_dict = {gb['groupby']: gb for gb in annotated_groupbys}
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@ -2339,7 +2343,10 @@ class BaseModel(object):
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groupby_terms, orderby_terms = self._read_group_prepare(order, aggregated_fields, annotated_groupbys, query, fget)
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from_clause, where_clause, where_clause_params = query.get_sql()
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count_field = groupby_fields[0] if lazy and (len(groupby_fields) >= 2 or not context.get('group_by_no_leaf')) else '_'
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if lazy and (len(groupby_fields) >= 2 or not context.get('group_by_no_leaf')):
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count_field = groupby_fields[0] if len(groupby_fields) >= 1 else '_'
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else:
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count_field = '_'
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prefix_terms = lambda prefix, terms: (prefix + " " + ",".join(terms)) if terms else ''
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prefix_term = lambda prefix, term: ('%s %s' % (prefix, term)) if term else ''
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