I had actually used appadmin in production for a particular database
for several months. The users were the same as you are describing
(end-user, used to excel).

Now that it is time to give them the real app (as appadmin was just a
quick get us up and running)... they are actually sad to see us stop
using appadmin, they like it!

I think you might be surprised at how easy appadmin is to grasp for
those who deal with spreadsheets all day.

-Thadeus





On Wed, Mar 17, 2010 at 1:27 AM, Vincent Borghi
<[email protected]> wrote:
> On Tue, Mar 16, 2010 at 4:11 PM, mdipierro <[email protected]> wrote:
>> I think what Vincent is asking is not so much importing capability but
>> an interface that can read an excel file (or a csv file) asks you the
>> names (guessing from the header) and types (guessing from data) of
>> columns and then writes the model for you.
>
> yes Massimo
>
>> Perhaps something that can
>> deal with the case when the table is the result of a join. Then
>> importing is a trivial step. We have that already
>
> In addition to data importation and code generation for the model,
> a key feature is to generate a user interface to the data.
>
> The default appadmin.py is OK for an administrator, but
> not so OK for an end-user who just wants to manage and share
> some data.
> Such end-users are most data owners than "administartors".
>
> Ideally, the utility I am looking for will generate a nice user
> (viewers and data owners)
> interface, that the administrator (who is supposed to know python and
> more or less SQL)
> can customize/enhance.
>
> The end-users/data owners are not knowlegeable in SQL (they are
> used to excel tables, after all).
> Moreover they expect to have simple functionality
> to do base CRUD operations : Create, Read (browse, filter, sort, dump as csv,
> paged or full datalist view in sortable table with choosable columns, possibly
> customizing who has which acces rights, so on...), Update and Delete.
>
>
> Regards
>
>
>
>
>
>
>
>> On Mar 16, 9:27 am, Dragonfyre13 <[email protected]> wrote:
>>> Well, my suggestion would be forget the XLS format for the first
>>> iteration. Use CSV. If you're not concerned with formulas, that's the
>>> cleanest route, and included in the default python install. (csv
>>> module). I use it all the time for my load test frameworks I build.
>>>
>>> It's not only very easy to use, but since it's VERY easy to export
>>> from excel, it shouldn't be much of a burden on the users. In a second
>>> iteration, if the license matches, you could do an import from xls
>>> format.
>>>
>>> On Mar 16, 8:03 am, mdipierro <[email protected]> wrote:
>>>
>>> > This can be done. I need to check the licence of the xls readers.
>>>
>>> > On Mar 16, 3:45 am, Vincent Borghi <[email protected]> wrote:
>>>
>>> > > Hello
>>>
>>> > > I have used web2py to (quickly) implement a simple phone directory of
>>> > > customer contacts,
>>> > > for a small phone call center.
>>> > > Before that, people tried to maintain their contact information in an
>>> > > Excel spreadsheet
>>> > > that was exchanged thru mail and/or a windows sharedc folder...
>>>
>>> > > ( Also note that I deal with two zope/plone sites, but I cannot (/don't 
>>> > > want) to
>>> > > fully understand all the stuff that has been added/changed with the
>>> > > Plone 3 release
>>> > > and soon the Plone 4 one -- too complicated for me.
>>> > > However, as a CMS, Plone has advantages, and afaik there is nothing 
>>> > > really
>>> > > production-ready in the web2py world )
>>>
>>> > > By the way:
>>> > > Feature request: xlstoweb2py
>>> > > ===============================
>>> > > For me, web2py could be the killer framework everywhere there are
>>> > > simple xls Excel files
>>> > > circulating among people who try to share and maintain information as
>>> > > they can (and
>>> > > they are numerous in many companies...).
>>>
>>> > > In fact, in many cases, Excel sheets made by people involve no formula, 
>>> > > but are
>>> > > just tables of static data. To deal with this frequent use case, I am
>>> > > looking for an
>>> > > "xlstoweb2py" utility that would take an xls file as input, and would
>>> > > automatically
>>> > > convert the data to an sqlite database, would build a base web2py 
>>> > > application
>>> > > implementing CRUD features and perhaps some form of access control 
>>> > > policy.
>>> > > The base app would be possibly ready to use, but as the resulting code 
>>> > > would be
>>> > >  web2py- and python-based, it would be easy for a
>>> > > developer/administrator (as me) to customize/enhance the generated app.
>>>
>>> > > For me, such a "xlstoweb2py" would be a killer app.
>>> > > We could even imagine a web service oriented towards the end-user (not 
>>> > > to
>>> > > developers), which would allow the user to upload an xls file, and in
>>> > > turn, would
>>> > > generate and host a (possibly customizable) web app for the user, to 
>>> > > let him
>>> > > manage/share his data thru the web.
>>>
>>> > > Regards
>>> > > Vincent Borghi
>>>
>>> > > PS: thanks to web2py developers for theit great work!
>>
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