Skip to main content

No project description provided

Project description

fastastra

commits Github Last Commit PyPI version Discord chat Stars

fastastra is modeled after fastlite and it allows you to use FastHTML with AstraDB (Cassandra).

Installation

poetry add fastastra

or

pip install fastastra

To connect:

from fastastra.fastastra import AstraDatabase
db = AstraDatabase(token, dbid) # get your token and dbid from https://astra.datastax.com

Basic usage

List tables

db.t

Create a table

cats = db.t.cats
if cats not in db.t:
    cats.create(cat_id=uuid.uuid1, name=str, partition_keys='cat_id')

Insert a row

cat_timeuuid = uuid.uuid1()
cats.update(cat_id=cat_timeuuid, name="fluffy")

List all rows

rows = cats()

ANN / vector search

db = AstraDatabase(token, dbid, embedding_model="embed-english-v3.0") # supports all embedding models in LiteLLM using env vars
dogs = db.t.dogs
if dogs not in db.t:
    #dogs.create(id=int, name=str, good_boy=bool, embedding=(list[float], 2), pk='id') # specify dimensions in create
    dogs.create(id=int, name=str, good_boy=bool, embedding=list[float], pk='id') # infer dimensions from db.embedding_model
    dogs.c.good_boy.index()
    dogs.c.embedding.index()

dogs.insert(id=2, good_boy=True, name="spike", embedding=[0.1, 0.2])

index_lookukp = dogs.xtra(good_boy=True)
ann_matches = dogs.xtra(embedding=[0.2, 0.2])

Get dataclass and pydantic model

dataclass = cats.dataclass()
model = cats.pydantic_model()

Get a row

print(cats[cat_timeuuid])

Delete a row

cats.delete(cat_timeuuid)

or

cats.delete(str(cat_timeuuid))

Run a FastHTML example:

This example was taken almost verbatim from the FastHTML examples repo. The only change was the dependency, the db connection string, and changing the id from int to uuid1.

uv sync

uv run python examples/todo.py

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fastastra-0.1.38.tar.gz (156.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fastastra-0.1.38-py3-none-any.whl (13.5 kB view details)

Uploaded Python 3

File details

Details for the file fastastra-0.1.38.tar.gz.

File metadata

  • Download URL: fastastra-0.1.38.tar.gz
  • Upload date:
  • Size: 156.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.8

File hashes

Hashes for fastastra-0.1.38.tar.gz
Algorithm Hash digest
SHA256 d3aaab41ceca0bdaf122e1640b7187849299edcb90514e48f588f4dc67bbb3b4
MD5 bf60585a7e416a21cf92c0f27660caf3
BLAKE2b-256 9338ed1ac2519467ca6381f3eee2b94b8d7a122c018d7c5b6a2f0249225fccd6

See more details on using hashes here.

File details

Details for the file fastastra-0.1.38-py3-none-any.whl.

File metadata

File hashes

Hashes for fastastra-0.1.38-py3-none-any.whl
Algorithm Hash digest
SHA256 400dcd11aa85f0b81cb845ea39eabc0fad8626b56726defdefd79c74a2f8d034
MD5 bade9f165e94797c18f9a04df61c4745
BLAKE2b-256 628e3236391f6214dcd25390d4544356a070a3bb1fa1d288ec617b2d6cb73610

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page