WIP integration with strawberry

[meadsteve]

The TLDR goal of this work is to be able to build @strawberry data loaders like this:

class AuthorLoader(DataLoader[str, Author]):
    def __init__(self, some_dep_db: DB):
        super().__init__(self.get_authors)
        self.db = some_dep_db

    async def get_authors(self, ids) -> typing.List["Author"]:
        print(f"Bulk loading authors: {ids}")
        return await self.db.get_the_authors(ids)

and then use it like

container = StrawberryContainer()
container[AuthorLoader] = AuthorLoader

@strawberry.type
class Book:
    title: str
    author_id: int

    @strawberry.field
    @container.attach_field
    async def author(self, loader: "AuthorLoader") -> "Author":
        return await loader.load(self.author_id)

class MyGraphQL(GraphQL):
    async def get_context(self, *args, **kwargs) -> Any:
        context: Dict = {}
        container.hook_into_context(context)
        return context

[sourcery-ai[bot]]

Sourcery Code Quality Report

❌  Merging this PR will decrease code quality in the affected files by 0.03%.

Quality metrics	Before	After	Change
Complexity	1.95 ⭐	1.95 ⭐	0.00
Method Length	36.10 ⭐	36.13 ⭐	0.03 👎
Working memory	6.17 ⭐	6.19 ⭐	0.02 👎
Quality	82.90% ⭐	82.87% ⭐	-0.03% 👎

Other metrics	Before	After	Change
Lines	457	460	3

Changed files	Quality Before	Quality After	Quality Change
lagom/container.py	82.36% ⭐	82.33% ⭐	-0.03% 👎
lagom/updaters.py	94.84% ⭐	94.84% ⭐	0.00%

Here are some functions in these files that still need a tune-up:

File	Function	Complexity	Length	Working Memory	Quality	Recommendation
lagom/container.py	partial	1 ⭐	119 🙂	10 😞	65.51% 🙂	Extract out complex expressions
lagom/container.py	_infer_dependencies	3 ⭐	81 🙂	11 😞	66.82% 🙂	Extract out complex expressions

Legend and Explanation

The emojis denote the absolute quality of the code:

• ⭐ excellent
• 🙂 good
• 😞 poor
• ⛔ very poor

The 👍 and 👎 indicate whether the quality has improved or gotten worse with this pull request.

---

Please see our documentation here for details on how these metrics are calculated.

We are actively working on this report - lots more documentation and extra metrics to come!

Help us improve this quality report!

[meadsteve]

Closing for now but this is still potentially interesting to me