On Mon, Apr 13, 2009 at 2:11 PM, mdipierro <[email protected]> wrote:

>
> I agree that the syntax you propose is cleaner but why are we doing
> this?
>
> For me the reason is move functionality out of T3.


Ok.


> In particular we need a way to store a model in another model (think
> of a table of table descriptions) in order to be able to create models
> on GAE without going through the local development environment. The
> shorthand notation for me is just a bonus.
>
> Having the entire table represented as a single string accomplishes
> this:
>
> for table in db(db.meta.id>0).select(): db.define_table
> (table.shorthand)


Ok - but you are still talking higher level functionality here (single
string);
What do you loose from this:

   for table in db(db.meta.id>0).select():
 db.define_table(table.shorthand())

Nothing - it's just a matter of how much you push down into the core.
 Putting _too_ much higher level assumptions low just blocks other, similar
(or unanticipated) uses.

['table_name', 'field_name:field_type:field default'] ==>   "table_name;
field_name:field_type:field default;"

Put another way, you are pushing a particular persistent storage issue down
into gluon (wanting a single string) - I question this.

There are numerous ways to store, so being explicit about what _kinds_ of
uses you are targetting is important.  You have stated one (and until now,
at least on this thread and in the code, it has been implicit;  it's good to
make it explicit).

In any case, if you intend to write a single blob, it would be good exercise
to implement a parser, and then think about where each piece belongs.  (this
actually looked interesting, as I scanned for parser generators:
http://www.acooke.org/lepl/) <http://www.acooke.org/lepl/>





>
> Massimo
>
>
> On Apr 13, 1:59 pm, Yarko Tymciurak <[email protected]> wrote:
> > On Mon, Apr 13, 2009 at 1:53 PM, Yarko Tymciurak <[email protected]>
> wrote:
> > > On Mon, Apr 13, 2009 at 1:40 PM, Yarko Tymciurak <[email protected]
> >wrote:
> >
> > >> I have a couple of immediate comments:
> > >> [1] - with this syntax, you do not process and fields or migrate
> > >> statements (but you _could_; suggest you do)
> > >> [2] - the autofields() function seems to mash concerns in other ways
> also:
> > >>  it handles tablename update (? why here) in addition to "autofields";
>  for
> > >> one thing, it does NOT do cleanup() (as define_table otherwise does) -
> this
> > >> is the beginnings of handling things differently in different
> conditions
> > >> (and a typical symptom of blurred boundaries of concerns).
> >
> > >> Suggest you DO table name handling in _one place_, and field
> processing
> > >> (as you have) in one place, and consider that you only ADD
> "autofields" as a
> > >> new syntax for defining fields.
> >
> > >> Having said that, it occurs to me that a comma separated text string
> is
> > >> just one layer of this, and it would be good to split this out, so
> that
> > >> web2py application developers could create things more automatically,
> to
> > >> wit:
> >
> > >> [3] in sql.autofields() ==> for field in fields.split(',') ---- I
> would
> > >> make this do NO MORE than call an individual field processing function
> > >> (separate this functionality)
> >
> > >> [4]  I would add / allow a list to be passed (that is, allow the
> > >> application developer to _already_ have split the field definitions to
> "the
> > >> new text specification format") --- this will be much handier for
> automated
> > >> processing.   There are a couple of ways you could handle this, one
> being
> > >> parsing *fields in define_table()  to first split them out to string
> (or
> > >> list?) vs.  function types, process all the string types by some
> > >> autofields_parse() function, collect and pass the rest to
> SQLTable(self,
> > >> tablename, *fields)...
> >
> > > ... as I think of this, and of application developers I would ONLY
> process
> > > lists for the "new" syntax - there is no useful reason to have a string
> that
> > > the CORE then splits on ','  and only complicates the core.... this is
> the
> > > kind of niceity that better belongs at the application level - either
> for
> > > the app writer, or in an admin (or other higher level function).
> >
> > > So I now would prefer to see *fields  argument to define_table()
>  handle
> > > all field definitions, and based on type of ...field in fields'... I
> would
> > > collect them and process accordingly.  If you _really_ want, you could
> > > insist that the fields list passed to define table be already coalesced
> > > (this would simplify core) - that is, all of one together, so that a
> change
> > > is assumed to apply to rest of fields (I think this is prefectly
> > > reasonable)....
> >
> > > So you see what I am proposing, I would do something like:
> >
> > > db.define_table('mytable',
> > >   'name',
> > >   'birthday date',
> > >   SQLField( 'some_other_field', 'integer', default=foo()),
> > >   # and all the following are now assumed to be function calls
> > > )
> >
> > > or, alternatively:
> >
> > > dyna_fields= ['name', 'birthday date']
> >
> > Note this also can free up other things:   ":" can now be a separator (so
> > spaces in validators can be used), e.g.:
> >
> > dyna_fields=['name', 'birthday: date', 'some_comment: text: default
> string']
> >
> > I think this opens the possibility for more "regular" processing, and
> > broader ways of generating tables.
> >
> > What do you think?
> >
> > - Yarko (... still thinking about this...)
> >
> > db.define_table('mytable, *dyna_fields,
> >
> > >    SQLField( # and so forth....)
> > > )
> >
> > > - Yarko
> >
> > >> Make sense?   I think with a little finesse this could provide more
> than a
> > >> "nice syntax", rather a handy way to automatically generate tables
> from
> > >> descriptors.
> >
> > >> Regards,
> > >> - Yarko
> >
> > >> 2009/4/13 mdipierro <[email protected]>
> >
> > >>> Try latest trunk. You can do:
> >
> > >>> db.define_table('friendship: person by name birthday notnull, dog by
> > >>> name ')
> >
> > >>> mind that you cannot have both notnull and unique and you cannot have
> > >>> a unique reference because I just realized we lack a validator to do
> > >>> it. I will make one and extend this..
> >
> > >>> Massimo
> >
> > >>> On Apr 13, 12:26 pm, mdipierro <[email protected]> wrote:
> > >>> > Actually it does just
> >
> > >>> > db.define_table('friendship'
> > >>> >   ,SQLField('person_name')
> > >>> >   )
> >
> > >>> > but I am about to follow your suggestion (with a slight change in
> > >>> > notation) and do
> >
> > >>> > db.define_table('friendship: person by name birthday notnull, dog
> by
> > >>> > name ')
> >
> > >>> > generate:
> >
> > >>> > db.define_table('friendship'
> > >>> >   ,SQLField('person',requires=IS_IN_DB(db,'person.id','%(name) %
> > >>> > (birthday)',notnull = True),
> > >>> >   ,SQLField('dog',requires=IS_NULL_OR(IS_IN_DB(db,'dog.id','%
> > >>> > (name)')),
> > >>> >   )
> >
> > >>> > Massimo
> >
> > >>> > On Apr 13, 11:13 am, DenesL <[email protected]> wrote:
> >
> > >>> > > Maybe too short to be useful, but when you get to references it
> would
> > >>> > > be nice to have:
> >
> > >>> > > db.define_table('friendship: person.name, dog.name')
> >
> > >>> > > But then, does this mean:
> >
> > >>> > > db.define_table('friendship'
> > >>> > >   ,SQLField('person_name'
> > >>> > >     ,db.person
> > >>> > >     ,requires=IS_IN_DB(db,db.person,'%(name)')
> > >>> > >   )...
> >
> > >>> > > or
> >
> > >>> > >   ,SQLField('person_name'
> > >>> > >      ,db.person.name.type
> > >>> > >      ,db.person.name.length
> > >>> > >      ,requires=IS_IN_DB(db,db.person.name)
> > >>> > >   )...
> >
> > >>> > > On Apr 13, 2:16 am, mdipierro <[email protected]> wrote:
> >
> > >>> > > > In trunk you can now do
> >
> > >>> > > > db.define_table('person : Name, Birthday date, Telephone')
> > >>> > > > db.define_table('dog: Name, Owner person, Picture upload')
> >
> > >>> > > > Is this useful? Look at the source. Is the syntax reasonable?
> >
> > >>> > > > Massimo
> >
>

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