# Supabase Pydantic Schemas
[](https://pydantic.dev)
[](https://codecov.io/github/kmbhm1/supabase-pydantic)
A project for generating Pydantic (& other) models from Supabase (& other) databases. Currently, this is ideal for integrating [FastAPI](https://fastapi.tiangolo.com/) with [supabase-py](https://supabase.com/docs/reference/python/introduction) as a primary use-case, but more updates are coming! This project is a inspired by the TS [type generating](https://supabase.com/docs/guides/api/rest/generating-types) capabilities of supabase cli. Its aim is to provide a similar experience for Python developers.
## Installation
We recommend installing the package using pip:
```bash
$ pip install supabase-pydantic
```
Installing with conda is also available:
```bash
conda install -c conda-forge supabase-pydantic
```
## Configuration
```bash
$ touch .env # create .env file
$ echo "DB_NAME=<your_db_name>" >> .env # add your postgres db name
$ echo "DB_USER=<your_db_user>" >> .env # add your postgres db user
$ echo "DB_PASS=<your_db_password>" >> .env # add your postgres db password
$ echo "DB_HOST=<your_db_host>" >> .env # add your postgres db host
$ echo "DB_PORT=<your_db_port>" >> .env # add your postgres db port
```
## Usage
Generate Pydantic models for FastAPI using a local supabase connection:
```bash
$ sb-pydantic gen --type pydantic --framework fastapi --local
PostGres connection is open.
PostGres connection is closed.
Generating FastAPI Pydantic models...
FastAPI Pydantic models generated successfully: /path/to/your/project/entities/fastapi/schema_public_latest.py
File formatted successfully: /path/to/your/project/entities/fastapi/schema_public_latest.py
```
Or generate with a url:
```bash
$ sb-pydantic gen --type pydantic --framework fastapi --db-url postgresql://postgres:postgres@127.0.0.1:54322/postgres
Checking local database connection.postgresql://postgres:postgres@127.0.0.1:54322/postgres
Connecting to database: postgres on host: 127.0.0.1 with user: postgres and port: 54322
PostGres connection is open.
Generating FastAPI Pydantic models...
FastAPI Pydantic models generated successfully: /path/to/your/project/entities/fastapi/schema_public_latest.py
File formatted successfully: /path/to/your/project/entities/fastapi/schema_public_latest.py
```
You can generate Pydantic models for certain schemas in your database using the `--schema` or `--all-schemas` options:
```bash
$ sb-pydantic gen --type pydantic --framework fastapi --local --schema extensions --schema auth
```
This command will generate a BaseModel file for each schema in your database.
For some users, integrating a Makefile command may be more convenient:
```bash
gen-types:
@echo "Generating FastAPI Pydantic models..."
@sb-pydantic gen --type pydantic --framework fastapi --dir <your path> --local
```
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"description": "# Supabase Pydantic Schemas\n\n\n[](https://pydantic.dev)\n\n[](https://codecov.io/github/kmbhm1/supabase-pydantic)\n\n\n\nA project for generating Pydantic (& other) models from Supabase (& other) databases. Currently, this is ideal for integrating [FastAPI](https://fastapi.tiangolo.com/) with [supabase-py](https://supabase.com/docs/reference/python/introduction) as a primary use-case, but more updates are coming! This project is a inspired by the TS [type generating](https://supabase.com/docs/guides/api/rest/generating-types) capabilities of supabase cli. Its aim is to provide a similar experience for Python developers.\n\n## Installation\n\nWe recommend installing the package using pip:\n\n```bash\n$ pip install supabase-pydantic\n```\n\nInstalling with conda is also available:\n\n```bash\nconda install -c conda-forge supabase-pydantic\n```\n\n## Configuration\n\n```bash\n$ touch .env # create .env file\n$ echo \"DB_NAME=<your_db_name>\" >> .env # add your postgres db name\n$ echo \"DB_USER=<your_db_user>\" >> .env # add your postgres db user\n$ echo \"DB_PASS=<your_db_password>\" >> .env # add your postgres db password\n$ echo \"DB_HOST=<your_db_host>\" >> .env # add your postgres db host\n$ echo \"DB_PORT=<your_db_port>\" >> .env # add your postgres db port\n```\n\n## Usage\n\nGenerate Pydantic models for FastAPI using a local supabase connection:\n\n```bash\n$ sb-pydantic gen --type pydantic --framework fastapi --local\n\nPostGres connection is open.\nPostGres connection is closed.\nGenerating FastAPI Pydantic models...\nFastAPI Pydantic models generated successfully: /path/to/your/project/entities/fastapi/schema_public_latest.py\nFile formatted successfully: /path/to/your/project/entities/fastapi/schema_public_latest.py\n```\n\nOr generate with a url:\n\n```bash\n$ sb-pydantic gen --type pydantic --framework fastapi --db-url postgresql://postgres:postgres@127.0.0.1:54322/postgres\n\nChecking local database connection.postgresql://postgres:postgres@127.0.0.1:54322/postgres\nConnecting to database: postgres on host: 127.0.0.1 with user: postgres and port: 54322\nPostGres connection is open.\nGenerating FastAPI Pydantic models...\nFastAPI Pydantic models generated successfully: /path/to/your/project/entities/fastapi/schema_public_latest.py\nFile formatted successfully: /path/to/your/project/entities/fastapi/schema_public_latest.py\n```\n\nYou can generate Pydantic models for certain schemas in your database using the `--schema` or `--all-schemas` options:\n\n```bash\n$ sb-pydantic gen --type pydantic --framework fastapi --local --schema extensions --schema auth\n```\n\nThis command will generate a BaseModel file for each schema in your database.\n\nFor some users, integrating a Makefile command may be more convenient:\n\n```bash\ngen-types:\n @echo \"Generating FastAPI Pydantic models...\"\n @sb-pydantic gen --type pydantic --framework fastapi --dir <your path> --local\n```\n\n",
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