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Add FastAPI and SQLModel to third-party tests#11044
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cloudflare-workers-and-pagesbot commentedDec 3, 2024 • edited
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Deploying pydantic-docs with |
Latest commit: | ca343f7 |
Status: | ✅ Deploy successful! |
Preview URL: | https://8f6ecfb5.pydantic-docs.pages.dev |
Branch Preview URL: | https://testing-expeirment.pydantic-docs.pages.dev |
codspeed-hqbot commentedDec 3, 2024 • edited
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CodSpeed Performance ReportMerging#11044 willnot alter performanceComparing Summary
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github-actionsbot commentedDec 3, 2024 • edited
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Looks great, thanks!

Note, re screenshot above - not sure if we need the ticks as it doesn't display as code on the actions list or actions drilldown.
Also, before we merge this PR, could we add a section tocontributing.md
that explains our criteria / process for adding integration tests like this? Ex - # of starts, amount of usage, etc?
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1 files reviewed, 1 total issue(s) found.
The style guide flagged several spelling errors that seemed like false positives. We skipped posting inline suggestions for the following words:
- [Mm]etaclass
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Looks good, just a bit of workshoping on wording.
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- The project is actively maintained. | ||
- Making use of Pydantic internals (e.g. relying on the [`BaseModel`][pydantic.BaseModel] metaclass, typing utilities). | ||
- The project is popular enough (although small projects can still be included depending on how Pydantic is being used). |
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I feel like we should quantify this (some # of stars, downloads)
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The thing is it really depends on how Pydantic is used. We can have project with 100k stars but if it is only defining simple models (e.g. models for an API client, and types are well contained) then there's no interest in testing it. On the other hand, a project with 200 stars defining complex custom types is more valuable. So it is hard to quantify :/
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Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com>
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Part of#11160.