Package: prisma-pynext
Prisma Client PythonType-safe database access for PythonWhat is Prisma Client Python?Prisma Client Python is a next-generation ORM built on top ofPrismathat has been designed from the ground up for ease of use and correctness.Prismais a TypeScript ORM with zero-cost type safety for your database, although don't worry, Prisma Client Pythoninterfaceswith Prisma using Rust, you don't need Node or TypeScript.Prisma Client Python can be used inanyPython backend application. This can be a REST API, a GraphQL API oranythingelse that needs a database.Note that the only language server that is known to support this form of autocompletion is Pylance / Pyright.Why should you use Prisma Client Python?Unlike other Python ORMs, Prisma Client Python isfully type safeand offers native support for usagewith and withoutasync. All you have to do isspecify the type of clientyou would like to use for your project in thePrisma schema file.However, the arguably best feature that Prisma Client Python provides isautocompletion support(see the GIF above). This makes writing database queries easier than ever!Core features:Prisma MigrateFull type safetyWith / without asyncRecursive and pseudo-recursive typesAtomic updatesComplex cross-relational queriesPartial type generationBatching write queriesSupported database providers:PostgreSQLMySQLSQLiteCockroachDBMongoDB (experimental)SQL Server (experimental)SupportHave any questions or need help using Prisma? Join thecommunity discord!If you don't want to join the discord you can also:Create a newdiscussionPing me on thePrisma Slack@Robert CraigieHow does Prisma work?This section provides a high-level overview of how Prisma works and its most important technical components. For a more thorough introduction, visit thedocumentation.The Prisma schemaEvery project that uses a tool from the Prisma toolkit starts with aPrisma schema file. The Prisma schema allows developers to define theirapplication modelsin an intuitive data modeling language. It also contains the connection to a database and defines agenerator:// database
datasource db {
  provider = "sqlite"
  url      = "file:database.db"
}

// generator
generator client {
  provider             = "prisma-client-py"
  recursive_type_depth = 5
}

// data models
model Post {
  id        Int     @id @default(autoincrement())
  title     String
  content   String?
  views     Int     @default(0)
  published Boolean @default(false)
  author    User?   @relation(fields: [author_id], references: [id])
  author_id Int?
}

model User {
  id    Int     @id @default(autoincrement())
  email String  @unique
  name  String?
  posts Post[]
}In this schema, you configure three things:Data source: Specifies your database connection. In this case we use a local SQLite database however you can also use an environment variable.Generator: Indicates that you want to generate Prisma Client Python.Data models: Defines your application models.On this page, the focus is on the generator as this is the only part of the schema that is specific to Prisma Client Python. You can learn more aboutData sourcesandData modelson their respective documentation pages.Prisma generatorA prisma schema can define one or more generators, defined by thegeneratorblock.A generator determines what assets are created when you run theprisma generatecommand. Theprovidervalue defines which Prisma Client will be created. In this case, as we want to generate Prisma Client Python, we use theprisma-client-pyvalue.You can also define where the client will be generated to with theoutputoption. By default Prisma Client Python will be generated to the same location it was installed to, whether thats inside a virtual environment, the global python installation or anywhere else that python packages can be imported from.For more options seeconfiguring Prisma Client Python.Accessing your database with Prisma Client PythonJust want to play around with Prisma Client Python and not worry about any setup? You can try it out online ongitpod.Installing Prisma Client PythonThe first step with any python project should be to setup a virtual environment to isolate installed packages from your other python projects, however that is out of the scope for this page.In this example we'll use an asynchronous client, if you would like to use a synchronous client seesetting up a synchronous client.pipinstall-UprismaGenerating Prisma Client PythonNow that we have Prisma Client Python installed we need to actually generate the client to be able to access the database.Copy the Prisma schema file shown above to aschema.prismafile in the root directory of your project and run:prismadbpushThis command will add the data models to your database and generate the client, you should see something like this:Prisma schema loaded from schema.prisma
Datasource "db": SQLite database "database.db" at "file:database.db"

SQLite database database.db created at file:database.db


🚀  Your database is now in sync with your schema. Done in 26ms

✔ Generated Prisma Client Python to ./.venv/lib/python3.9/site-packages/prisma in 265msIt should be noted that whenever you make changes to yourschema.prismafile you will have to re-generate the client, you can do this automatically by runningprisma generate --watch.The simplest asynchronous Prisma Client Python application will either look something like this:importasynciofromprismaimportPrismaasyncdefmain()->None:prisma=Prisma()awaitprisma.connect()# write your queries hereuser=awaitprisma.user.create(data={'name':'Robert','email':'robert@craigie.dev'},)awaitprisma.disconnect()if__name__=='__main__':asyncio.run(main())or like this:importasynciofromprismaimportPrismafromprisma.modelsimportUserasyncdefmain()->None:db=Prisma(auto_register=True)awaitdb.connect()# write your queries hereuser=awaitUser.prisma().create(data={'name':'Robert','email':'robert@craigie.dev'},)awaitdb.disconnect()if__name__=='__main__':asyncio.run(main())Query examplesFor a more complete list of queries you can perform with Prisma Client Python see thedocumentation.All query methods returnpydantic models.Retrieve allUserrecords from the databaseusers=awaitdb.user.find_many()Include thepostsrelation on each returnedUserobjectusers=awaitdb.user.find_many(include={'posts':True,},)Retrieve allPostrecords that contain"prisma"posts=awaitdb.post.find_many(where={'OR':[{'title':{'contains':'prisma'}},{'content':{'contains':'prisma'}},]})Create a newUserand a newPostrecord in the same queryuser=awaitdb.user.create(data={'name':'Robert','email':'robert@craigie.dev','posts':{'create':{'title':'My first post from Prisma!',},},},)Update an existingPostrecordpost=awaitdb.post.update(where={'id':42,},data={'views':{'increment':1,},},)Usage with static type checkersAll Prisma Client Python methods are fully statically typed, this means you can easily catch bugs in your code without having to run it!For more details see thedocumentation.How does Prisma Client Python interface with Prisma?Prisma Client Python connects to the database and executes queries using Prisma's rust-based Query Engine, of which the source code can be found here:https://github.com/prisma/prisma-engines.Prisma Client Python exposes a CLI interface which wraps thePrisma CLI. This works by downloading a Node binary, if you don't already have Node installed on your machine, installing the CLI withnpmand running the CLI using Node.The CLI interface is the exact same as the standardPrisma CLIwithsome additional commands.AffiliationPrisma Client Python isnotan official Prisma product although it is very generously sponsored by Prisma.Room for improvementPrisma Client Python is a fairly new project and as such there are some features that are missing or incomplete.Auto completion for query argumentsPrisma Client Python query arguments make use ofTypedDicttypes. Support for completion of these types within the Python ecosystem is now fairly widespread. This section is only here for documenting support.Supported editors / extensions:VSCode withpylancev2021.9.4 or higherSublime Text withLSP-Pyrightv1.1.196 or higherPyCharm2022.1 EAP 3added support for completingTypedDictsThis does not yet work for Prisma Client Python unfortunately, seethis issueAny editor that supports the Language Server Protocol and has an extension supporting Pyright v1.1.196 or highervim and neovim withcoc.nvimemacsuser=awaitdb.user.find_first(where={'|'})Given the cursor is where the|is, an IDE should suggest the following completions:idemailnamepostsPerformanceWhile there has currently not been any work done on improving the performance of Prisma Client Python queries, they should be reasonably fast as the core query building and connection handling is performed by Prisma.
Performance is something that will be worked on in the future and there is room for massive improvements.Supported platformsWindows, MacOS and Linux are all officially supported.Version guaranteesPrisma Client Python isnotstable.Breaking changes will be documented and released under a newMINORversion following this format.MAJOR.MINOR.PATCHNew releases are scheduled bi-weekly, however as this is a solo project, no guarantees are made that this schedule will be stuck to.ContributingWe useconventional commits(also known as semantic commits) to ensure consistent and descriptive commit messages.See thecontributing documentationfor more information.AttributionsThis project would not be possible without the work of the amazing folks over atprisma.Massive h/t to@steebchenfor his work onprisma-client-gowhich was incredibly helpful in the creation of this project.This README is also heavily inspired by the README in theprisma/prismarepository.