Skip to main content

Traducteur is the middle man to handle your basic data needs.

Project description

Traducteur

Traducteur is a database model manager and task sheduler which aims to make developing basic app with database models and tasks faster and easier.


Requirements

  • python ^3.8
  • pydantic ^1.10.4

Optional

For mongo db:

  • pymongo ^4.3.3

For task queueing or redis model management:

  • redis-py ^4.4.2

Installation

Base install:

pip install traducteur

Install with extras:

pip install "traducteur[tasks]"

This example will install traducteur and all the packages you need to use traducteur tasks.

optional extras:

  • sql
  • nosql
  • caching
  • mongo
  • tasks
  • all

The idea

Context managers

with BaseContext(connection_string) as db:
    return db.get()

Model managers

Model managers use context managers

manager = BaseModelManager(connection_string)
result = manager.get(example_id)
result = manager.delete(example_id)

Models

Models use model managers

class User(BaseDatabaseModel):
    username: str
    fname: str
    lname: str
    email: str
    
user = User(
    username='johndoe',
    fname='John',
    lname='Doe',
    email='john.doe@mail.com'
)

'''
    Easy create, save, update and delete
'''
user = User(
    username='johndoe',
    fname='John',
    lname='Doe',
    email='john.doe@mail.com'
)

# saving the model
user = user.save()

# saving also updates the model
user.lname = 'Joe'
user = user.save()

# getting a model by its ID from the database
user = User.get(user_id)

# deleting a model from the database
deleted_user = user.delete()

Tasks

Tasks use models

# in a program
def my_func(a: int, b: int) -> int:
  return a + b

task = BaseTask(action=my_func)
task.queue(a=8, b=3)

###############
# in a worker #
task.digest() #
###############

# some time later
result = task.result()

Chain tasks

Tasks can be chained together for larger workloads

def double(number: int):
    return {
        'number': number * 2
    }

# make tasks
one = BaseTask(action=double)
two = BaseTask(action=double)
three = BaseTask(action=double)

# chain tasks
two.set_parent(one)
three.set_parent(two)

# queue parent task
one.queue(number=2)

###############
# in a worker #
one.digest()  #
###############

# some time later
result = one.result()
assert result == 8, "Should be 8 as 2*2*2 == 8"

Available functionality

Context managers

  • MongoContext
  • SQLite3Context

Model managers

  • MongoModelManager
  • SQLModelManager
    • SQLQueryBuilder

Query filters

  • Datetime filter
  • Number filter
  • String filter

Models

  • BaseMongoModel
  • BaseRedisModel
  • BaseSQLModel

Tasks

  • RedisTask

Todo / in progress

Tasks

  • Chain tasks
    • Redis
    • Mongo
    • SQL
  • Task worker
    • Single Process
    • Multi Process
  • RabbitMQ task

Tests

Tests can be found in the test folder. They use pythons unittest and can be run with:

python3 -m unittest path/to/test.py

Tests get automatically run after each push.

Available tests

  • Mongo model
  • Mongo sorting
  • Redis task
    • Basic functions
    • Chaining

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

traducteur-0.4.7.tar.gz (11.6 kB view details)

Uploaded Source

Built Distribution

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

traducteur-0.4.7-py3-none-any.whl (19.2 kB view details)

Uploaded Python 3

File details

Details for the file traducteur-0.4.7.tar.gz.

File metadata

  • Download URL: traducteur-0.4.7.tar.gz
  • Upload date:
  • Size: 11.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.4.2 CPython/3.10.6 Linux/5.15.0-1035-azure

File hashes

Hashes for traducteur-0.4.7.tar.gz
Algorithm Hash digest
SHA256 62f1e46f3734d82f6816cc6ed9675cead66858db791bacf84f68efb38c814239
MD5 3028e5f5590f5c5e79addb49411fbea3
BLAKE2b-256 3a2a96fc6f09860d2b2ef340caf89e58ca73e22fb5cfd29357378eba05852b3d

See more details on using hashes here.

File details

Details for the file traducteur-0.4.7-py3-none-any.whl.

File metadata

  • Download URL: traducteur-0.4.7-py3-none-any.whl
  • Upload date:
  • Size: 19.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.4.2 CPython/3.10.6 Linux/5.15.0-1035-azure

File hashes

Hashes for traducteur-0.4.7-py3-none-any.whl
Algorithm Hash digest
SHA256 29612266fa98da5315ad442d944bceba91c3a2a36f215fe9011695e318254a67
MD5 b7dfdeb5bac98ecaa2a6ef66068a8d8a
BLAKE2b-256 bc0224c38ba08b449af8f6864779e102f0a8fec80d08f35b601cf897d2876fb6

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