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https://github.com/rickh94/ODetaM

A simple ODM(Object Document Mapper) for Deta Base based on pydantic
https://github.com/rickh94/ODetaM

database-management deta odm pydantic python

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A simple ODM(Object Document Mapper) for Deta Base based on pydantic

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# ODetaM

[![Test](https://github.com/rickh94/ODetaM/actions/workflows/test.yml/badge.svg)](https://github.com/rickh94/ODetaM/actions/workflows/test.yml)
[![codecov](https://codecov.io/gh/rickh94/odetam/branch/main/graph/badge.svg?token=BLDIMHU9FB)](https://codecov.io/gh/rickh94/odetam)

A simple ODM (Object Document Mapper) for [Deta Base](https://deta.sh) base on
[pydantic](https://github.com/samuelcolvin/pydantic/).

## Installation

`pip install odetam`

## Usage

Create pydantic models as normal, but inherit from `DetaModel` instead of
pydantic BaseModel. You will need to set the environment variable
`DETA_PROJECT_KEY` to your Deta project key so that databases can be
accessed/created, instead you are working under deta initialized project.
Your also can specify Deta project key in Config class of your model, for
migration from Deta Cloud or importing external Collection (read [DetaBase Docs](https://deta.space/docs/en/basics/data))
This is a secret key, so handle it appropriately (hence the environment variable).

Bases will be automatically created based on model names (changed from
PascalCase/CamelCase case to snake_case). A `key` field (Deta's unique id) will
be automatically added to any model. You can supply the key on creation, or
Deta will generate one automatically and it will be added to the object when it
is saved.

## Async Support

Async/await is now supported! As of version 1.2.0, you can now
`from odetam.async_model import AsyncDetaModel`, inherit from that, and run all
the examples below just the same, but with `await` in front of the calls.

You must `pip install deta[async]`, to use asynchronous base.

### Get All

`DetaModel.get_all()` should handle large bases better now, but you should
consider querying instead of getting everything if possible, because it is
unlikely to perform well on large bases.

## Example

### Basics

```python
import datetime
from typing import List

from odetam import DetaModel

class Captain(DetaModel):
name: str
joined: datetime.date
ships: List[str]

# create
kirk = Captain(
name="James T. Kirk",
joined=datetime.date(2252, 1, 1),
ships=["Enterprise"],
)

sisko = Captain(
name="Benjamin Sisko",
joined=datetime.date(2350, 1, 1),
ships=["Deep Space 9", "Defiant"],
)

# initial save, key is now set
kirk.save()

# update the object
kirk.ships.append("Enterprise-A")

# save again, this will be an update
kirk.save()

sisko.save()

Captain.get_all()
# [
# Captain(
# name="James T. Kirk",
# joined=datetime.date(2252, 01, 01),
# ships=["Enterprise", "Enterprise-A"],
# key="key1",
# ),
# Captain(
# name="Benjamin Sisko",
# joined=datetime.date(2350, 01, 01),
# ships=["Deep Space 9", "Defiant"],
# key="key2",
# ),
# ]

Captain.get("key1")
# Captain(
# name="James T. Kirk",
# joined=datetime.date(2252, 01, 01),
# ships=["Enterprise", "Enterprise-A"],
# key="key1",
# )

Captain.get("key3")
# Traceback (most recent call last):
# File "", line 1, in
# odetam.exceptions.ItemNotFound

Captain.get_or_none("key3")
# None

Captain.query(Captain.name == "James T. Kirk")
# Captain(
# name="James T. Kirk",
# joined=datetime.date(2252, 01, 01),
# ships=["Enterprise", "Enterprise-A"],
# key="key1",
# )

Captain.query(Captain.ships.contains("Defiant"))
# Captain(
# name="Benjamin Sisko",
# joined=datetime.date(2350, 01, 01),
# ships=["Deep Space 9", "Defiant"],
# )

Captain.query(Captain.name.prefix("Ben"))
# Captain(
# name="Benjamin Sisko",
# joined=datetime.date(2350, 01, 01),
# ships=["Deep Space 9", "Defiant"],
# )

kirk.delete()
Captain.delete_key("key2")

Captain.get_all()
# []

# you can also save several at once for better speed
Captain.put_many([kirk, sisko])
# [
# Captain(
# name="James T. Kirk",
# joined=datetime.date(2252, 01, 01),
# ships=["Enterprise", "Enterprise-A"],
# key="key1",
# ),
# Captain(
# name="Benjamin Sisko",
# joined=datetime.date(2350, 01, 01),
# ships=["Deep Space 9", "Defiant"],
# key="key2",
# ),
# ]

```

### Async model

```python
import datetime
from typing import List

from odetam.async_model import AsyncDetaModel

class Captain(AsyncDetaModel):
name: str
joined: datetime.date
ships: List[str]

async foo():
items = await Captain.get_all()

```

### Config

```python

class Captain(AsyncDetaModel):
name: str
joined: datetime.date
ships: List[str]

class Config:
table_name = "my_custom_table_name"
deta_key = "123_123" # project key from Deta Cloud or Data Key from another Deta Space project

```

## Save

Models have the `.save()` method which will always behave as an upsert,
updating a record if it has a key, otherwise creating it and setting a key.
Deta has pure insert behavior, but it's less performant. If you need it, please
open a pull request.

## Querying

All basic comparison operators are implemented to map to their equivalents as
`(Model.field >= comparison_value)`. There is also a `.contains()` and
`.not_contains()` method for strings and lists of strings, as well as a
`.prefix()` method for strings. There is also a `.range()` for number types
that takes a lower and upper bound. You can also use `&` as AND and `|` as OR.
ORs cannot be nested within ands, use a list of options as comparison instead.
You can use as many ORs as you want, as long as they execute after the ANDs in
the order of operations. This is due to how the Deta Base api works.

## Deta Base

Direct access to the base is available in the dunder attribute `__db__`, though
the point is to avoid that.

## Exceptions

- `DetaError`: Base exception when anything goes wrong.
- `ItemNotFound`: Fairly self-explanatory...
- `InvalidDetaQuery`: Something is wrong with queries. Make sure you aren't using
queries with unsupported types