pythrel
Abstract relational ORM system
WARNING: This is a small project I built mainly to learn how to interface with a few different kinds of SQL database. If you would like to use this in production, no you don't!
Documentation:
Installation:
python3 -m pip install pythrel
Basic Usage:
from pythrel import SqliteDatabase, Pythrel, Record
import secrets
import random
# Create database adapter
db = SqliteDatabase(path="test.db")
db.create_table("customers", {"id": "INTEGER", "customerName": "TEXT", "favorite_number": "REAL"})
db.commit()
# Generate some data
CUSTOMERS = {}
for c in range(500):
CUSTOMERS[c] = {
"id": c,
"customerName": secrets.token_urlsafe(8),
"favorite_number": random.randint(0, 10000)
}
# Insert data
db.query().insert("customers", list(CUSTOMERS.values())).execute()
db.commit()
# Connect DB instance to ORM
orm = Pythrel(db)
# Use database table rows as objects
print(orm.load_columns(Customer, "customers", "*")[0].dict())
orm.create(Customer, "customers", id=-10, customerName="John", favorite_number=-69)
john = orm.load_columns(Customer, "customers", "*", where="id < 0")[0]
print(john)
john.favorite_number = 1000
orm.save(john, key="id")
print(orm.load_query(Customer, orm.query().select("customers", "*").where("id < 0"))[0])
Metadata
Release files for pythrel 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pythrel-0.1.1.tar.gz | 5.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pythrel-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.6 kB
Release files / pythrel-0.1.1.tar.gz
| Download URL | pythrel-0.1.1.tar.gz |
|---|---|
| Size | 5.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d8d9ed3d0ad62815564c18c1f318ce7d4be358a9b79ea1c37c256299f4dae81f
|
|
BLAKE2b-256 checksum How to use checksums |
953db399296be55c0f59da1b0423130ed7aae61622e68d6937a6f167a9571bef
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.6.1 CPython/3.11.0 Linux/6.2.0-1011-azure
|
Release files / pythrel-0.1.1-py3-none-any.whl
| Download URL | pythrel-0.1.1-py3-none-any.whl |
|---|---|
| Size | 8.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7ee08990ee3a6dfa812412f31d65ec3e27c21175b79a6839b358ead3185a7982
|
|
BLAKE2b-256 checksum How to use checksums |
23a1ccd68126892d5df8b9ef98a9d3ee04ac6fb9ee0bfd416b9df6cfeb52cde0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.6.1 CPython/3.11.0 Linux/6.2.0-1011-azure
|
Security for pythrel 0.1.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.