queredity issue

[Otto Kohulák]

Dear AiiDA users,

I just encountered some strange AiiDA behaviour. Here is a sample of my code:

from aiida.orm import Data

class P(Data):

    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)

class P1(P):

    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)

class P2(P):

    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)

As you can see, P<class> is a subclass of Data<class>, and P1 and P2 are subclasses of  P. I assume when I build a query searching for all Data node I should find all of them, and that's true:

P().store()

P1().store()

qb = QueryBuilder()

qb.append(Data)

for x in qb.iterall(): print(x)

results in:

[<P: uuid: 61b02ab5-1049-4430-814f-c2d273f8bb81 (pk: 18)>]
[<P1: uuid: 44fd554d-bee1-4cd3-8aaf-d8e29acf46ca (pk: 19)>]

This is expected behaviour for me. But when I querry for P class its subclasses are missing:

qb = QueryBuilder()

qb.append(P)

for x in qb.iterall(): print(x)

[<P: uuid: 61b02ab5-1049-4430-814f-c2d273f8bb81 (pk: 18)>]

This is not What I expected. So what am I missing?

cheers

Otto

[Chris Sewell]

Heya,

What entry point names have you given these classes?

I think you will also need to give P1/P2 “subclassed” names, e.g. something like `myplugin.p`, `myplugin.p.p1`, `myplugin.p.p2`

Take for example, `Data` and `Dict`:

In [10]: QueryBuilder().append(Data).queryhelp

Out[10]: 

{'path': [{'entity_type': 'data.Data.',

   'orm_base': 'node',

   'tag': 'Data_1',

   'joining_keyword': None,

   'joining_value': None,

   'edge_tag': None,

   'outerjoin': False}],

 'filters': {'Data_1': {'node_type': {'like': 'data.%'}}},

 'project': {'Data_1': []},

 'order_by': [],

 'limit': None,

 'offset': None,

 'distinct': False}

In [9]: QueryBuilder().append(Dict).queryhelp

Out[9]: 

{'path': [{'entity_type': 'data.core.dict.Dict.',

   'orm_base': 'node',

   'tag': 'Dict_1',

   'joining_keyword': None,

   'joining_value': None,

   'edge_tag': None,

   'outerjoin': False}],

 'filters': {'Dict_1': {'node_type': {'like': 'data.core.dict.%'}}},

 'project': {'Dict_1': []},

 'order_by': [],

 'limit': None,

 'offset': None,

 'distinct': False}

You’ll see that we are filtering, with Data, for all entry points (% is a wildcard),

Whereas for Dict, it is for all entry points starting with “core.dict"

Cheers,

Chris

--
AiiDA is supported by the NCCR MARVEL (http://nccr-marvel.ch/), funded by the Swiss National Science Foundation, and by the European H2020 MaX Centre of Excellence (http://www.max-centre.eu/).
 
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