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test(entities): improve docs, doctests, and typing #1034
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Thank you @maukoquiroga :)
Thanks @maukoquiroga. This is marked as depending on #1033 but I see redundant changes, for example in the config file. I would be in favour of having a single PR as they seem to address the same issue (openfisca/openfisca-doc#244) and to improve documentation altogether. |
Corrected it
I will rebase properly, that should get us rid of the conflicts 😃
I thought so initially as well, and I tried, then I decided to split this work by "submodule" and add doc as well as fixing the doctests. Here's what happened:
I think we probably won't be able to fix all the doctests soon, that's why I changed from an horizontal to a vertical (submodules) approach. Happy to have an extended discussion on that with the community if you think that could be useful! |
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Thank you @maukoquiroga! Great contribution 👏
I ran all the tests and they passed :)
I don't think I know enough to approve the structural changes though 😅
Co-authored-by: Hajar AIT EL KADI <[email protected]>
I am in favor of more typing, more doctest but I am ,ot sure I can grasp all the implications of the changes ... |
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The added documentation is great!
However, I don't understand the consequences of introducing an abstract base class system and this “variable proxy” system, so I cannot approve that PR 😕
Co-authored-by: Matti Schneider <[email protected]>
Thanks @MattiSG ! Concerning the abstract class system, it is not one. As I've described it:
Structural sub-typing is described in PEP 544. Quoting it:
In other words, there are no consequences beyond type-checks —no runtime impact then. To make the point, an This has, however, one major benefit: we remove circular module dependencies from the codebase, which has an actual positive impact in terms of modularity and testability.
That is just an abstraction, or in DDD, a port. As I see it has two impacts:
Beyond the "design" aspect of it, the actual recipe, the descriptor, is just standard Python —a huge deal of the function system, properties, and so on, are just syntactic sugar; behind-the-scenes they're just descriptors. Finally, as you can see from the changeset, the introduced syntax is more coherent with the |
Superseded by #1255 |
Part of #1061
Superseded by #1220
Superseded by #1252
Superseded by #1255
Documentation
Doctests
Typing
typing
, under three categories:types
: for data-types, which are subsequently split into two sub-categories:XType
: an actual data-type —for example an arrayXLike
: an object where the actual data-type is irrelevant, but that can be coerced toX
.protocols
: for behaviours —think interfaces but for the sole purpose of static type-checkingschemas
: type-safe data-objects —mostly for dictionariesDeprecations
Entity.set_tax_benefit_system
: now provided by a standardproperty
setter.Entity.check_role_validity
: moved to helpers as it had nothing to do with entitiesNew features
entity 1 - * variable
declarative, thanks to the_VariableProxy
descriptordataclass
andslots
for reduced boilerplate and improved performanceTechnical changes
GroupEntity
, replaces dynamicrole
attributes assignment for an explicit caching mechanismslots
and thus the performance gainsNotes
Entity
andPopulation
,Simulation
andSimulationBuilder
, and so on. Although the changset is backward-compatible, future contributions enforcing this choice may introduce breaking changes.adapter
,proxy
,port
, orrepo
: beyond the pure relationship between models, the behavioural logic between them is extracted to specialised models —in this case,querying
variables is extracted fromEntity
to a_VariableProxy
. This is just a subset of 1.protocols
, orduck-typing
, orstructural sub-typing
: that means type-checks are done not against the actual implementation of a model, but against aprotocol
, that is, the equivalent of aninterface
, or anabstract model
, but without impact at runtime.schemas
. But, contrary to regularschemas
used to validate, serialise, and deserialise data from/to models, these schemas are purely type-safe data objects, meant for type-checks, without impact at runtime.Extended note on data-schemas
What if, instead of just using
schemas
as typed-dicts for type-checks, we used them at runtime to compulsorily:a. check types at runtime?
b. validate data at runtime?
c. serialise/deserialise data —as suggested in #1071 ?
d. enforce contracts, or domain logic —both in terms of data ("has to be >0") and representation ("tojson()")?
For
Formula
andTest
.OpenAPI
Against
Performance: whereas declarative data transmutation can even increase performance for individual situations —WebAPI—, a naive or out-of-the-box implementation (or anything with a complexity of at least
O(n)
) will certainly have a very penalising impact on performance for large population simulations.This due to several reasons:
numpy
already provides data type-casting, with configurable levels of safety, and C-optimisedPossible workarounds:
--safe
or--strict