P.S. the custom validator makes the tags work great with this:
https://github.com/xoxco/jQuery-Tags-Input
On Friday, 17 January 2014 12:12:00 UTC-6, Massimo Di Pierro wrote:
>
> list:reference is faster for finding referenced fields
> many-to-many are faster for finding referencing fields.
>
> Usually categories are nested. I assume you want tags instead of
> categories (it is more general). I usually use both approaches and
> de-normalize it.
>
> Below there is class Tag (which is a little complex but can be used out of
> the box) and some example of usage:
>
> class Tag(object):
> class Validator(object):
> def __call__(self,values):
> if isinstance(values,str):
> values = values.split(',')
> tags = [IS_SLUG.urlify(x) for x in values]
> tags = [x.lower() for x in tags if x]
> return (tags, None)
> def formatter(self,values):
> return ', '.join(values) if values else ''
> @staticmethod
> def represent(v,r=None):
> return SPAN(*(SPAN(t,_class='tag') for t in v)) if v else ''
>
> @staticmethod
> def after_insert(fields, record_id, field2):
> if 'tags' in fields:
> for tag in fields.tags:
> d = {'name':tag, field2.name:record_id}
> field2.table.insert(**d)
>
> @staticmethod
> def after_update(dbset,fields,field1,field2):
> if 'tags' in fields:
> subquery = dbset._select(field1.table.id)
> field2._db(field2.belongs(subquery)).delete()
> for tag in fields.tags:
> d = {'name':tag, field2.name:record_id}
> field2.table.insert(**d)
>
> @staticmethod
> def connect(field1,name="tag"):
> db = field1._db
> table =
> db.define_table(name,Field('name'),Field(field1.name,'reference
> thing'))
> field2 = table[field1.name]
> field1.requires = Tag.Validator
> field1.widget = SQLFORM.widgets.string.widget
> field1.represent = Tag.represent
> field1.table._after_insert.append(lambda f,u:
> Tag.after_insert(f,u,field2))
> field1.table._after_update.append(lambda f,u:
> Tag.after_insert(f,u,field1,field2))
>
> @staticmethod
> def has_all(field1,tags,name="tag",mode="and"):
> db = field1._db
> table = db[name]
> if isinstance(tags,str):
> tags = [tags]
> queries = []
> for tag in tags:
> queries.append(field1.table.id.belongs(db(table.name
> ==tag)._select(table[field1.name])))
> if mode=='and':
> return reduce(lambda a,b:a&b, queries)
> else:
> return reduce(lambda a,b:a|b, queries)
>
> @staticmethod
> def has_any(field1,tags,name="tag"):
> return Tag.has_all(field1,tags,name=name,mode="or")
>
> ### example of usage
>
> db.define_table('thing', Field('name'), Field('tags','list:string'))
> Tag.connect(db.thing.tags)
>
> db.thing.insert(name='table', tags=['round','blue'])
> print db(Tag.has_all(db.thing.tags,['round'])).select(db.thing.ALL)
> print db(Tag.has_all(db.thing.tags,['blue'])).select(db.thing.ALL)
> print db(Tag.has_all(db.thing.tags,['red'])).select(db.thing.ALL)
> print db(Tag.has_all(db.thing.tags,['blue', 'round'])).select(db.thing.ALL)
> print db(Tag.has_any(db.thing.tags,['red','round'])).select(db.thing.ALL)
>
> On Friday, 17 January 2014 03:21:52 UTC-6, Najtsirk wrote:
>>
>> Hi,
>>
>> I have a dilemma about *list:reference, multiple=True vs. many-to-many
>> with intermediate table.*
>>
>> I have Projects which haveto be in several categories.
>>
>> Is it better to use list:reference (to list categories from the
>> categories table) or many-to-many? Which is faster in queries?
>>
>> Thanks for the answers.
>>
>
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