ODetaM

A simple ODM (Object Document Mapper) for Deta Base base on 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 PROJECT_KEY to your Deta project key so that databases can be accessed/created. This is a secret key, so handle it appropriately (hence the environment variable). Intended for use with FastAPI, but the Deta API is not asynchronous, so any framework could potentially be used.

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 aiodeta, as this is optional functionality, so it does not install automatically. This is the aiodeta package which is unofficial, but seems to work well and enables async support.

Get All

DetaModel.get_all() may be broken for large bases. The main deta python library has implemented some breaking changes (though definite improvements) around the fetching of records from the Base. They have implemented a new automatic pagination system that I have not had time to play with yet. Queries are recommended!

Example

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.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",
#     ),
# ]

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...
• NoProjectKey: PROJECT_KEY env var has not been set correctly. See Deta documentation.
• InvalidDetaQuery: Something is wrong with queries. Make sure you aren't using queries with unsupported types