zx80/anodb
zx80/anodb has 34 GitHub stars and 1 forks. GitHot measured +1 stars in 24 hours, +1 in 7 days, and +1 in 15 days. Last checked 2026-11-11 19:40 UTC. Last push 2026-11-04.
Convenient Wrapper around aiosql and a Database Connection.
Crecimiento de estrellas medido
- in 24h
- +1
- in 7 days
- +1
- in 15 days
- +1
- in 1 month
- Actualización retrasada
Cambios netos en períodos que se solapan, no totales diarios. Los datos no disponibles se dejan en blanco. Las estrellas indican interés, no calidad.
README.md
OriginalAnoDB
Convenient Wrapper around aiosql and a Database Connection.
Description
This class creates a persistent database connection and imports SQL queries from a file as simple Python functions.
If the connection is broken, a new connection is attempted with increasing throttling delays.
Compared to aiosql, the point is not to need to pass a connection
as an argument on each call: The DB class embeds both connection
and query methods.
For concurrent programming (threads, greenlets…), a relevant setup should also consider thread-locals and pooling issues at some higher level.
Example
Install the module with pip install anodb or whatever method you like.
Once available:
import anodb
# parameters: driver, connection string, SQL file
db = anodb.DB("sqlite3", "test.db", "test.sql")
db.create_stuff() # table created
db.add_stuff(key=1, val="hello") # 1 row added
db.change_stuff(key=1, val="world") # 1 row changed
print("data", db.get_stuff(key=1)) # (1, "world")
print("norm", db.compute_norm(c=3+4j)) # 5.0
for key, val in db.get_all_stuff():
print(f"{key}: {val}")
db.commit()
db.close()
With file test.sql to define parametric queries such as:
-- name: create_stuff#
CREATE TABLE Stuff(key INTEGER PRIMARY KEY, val TEXT NOT NULL);
-- name: add_stuff(key, val)!
INSERT INTO Stuff(key, val) VALUES (:key, :val);
-- name: change_stuff(key, val)!
UPDATE Stuff SET val = :val WHERE key = :key;
-- name: get_stuff(key)^
SELECT * FROM Stuff WHERE key = :key;
-- name: compute-norm(c)$
SELECT SQRT(:c.real * :c.real + :c.imag * :c.imag);
-- name: get_all_stuff()
SELECT * FROM Stuff ORDER BY 1;
Documentation
The anodb module provides the DB class which embeds both a
PEP 249 database connection
(providing methods commit, rollback, cursor, close and
its connect counterpart to re-connect) and SQL queries wrapped
into dynamically generated functions by
aiosql.
Such functions may be loaded from a string (add_queries_from_str) or a
path (add_queries_from_path).
The DB constructor main parameters are:
dbthe name of the database driver:sqlite3,psycopg,pymysql, see aiosql documentation for a list of supported drivers.connan optional connection string used to initiate a connection with the driver. For instance,psycopgaccepts a libpq connection string such as:"host=db1.my.org port=5432 dbname=acme user=calvin …".queriesa path name or list of path names from which to read query definitions.conn_argsandconn_kwargsa list and dictionary of further connection parameters.auto_reconnectwhether to attempt a reconnection if the connection is lost. Default is True. Reconnection attempts are throttled exponentially following powers of two delays from 0.001 and capped at 30.0 seconds.auto_rollbackwhether to rollback internaly on query errors, before re-raising them. Default is True.kwargs_onlywhether to only accept named parameters to python functions. This helps avoiding silly bugs! Default is True.debugwhether to generate debugging messages throughlogging. Default is False.cacherfactory to wrap functions for cachingSELECTqueries designated as such becauseCACHEDappears in their doctring. The cacher is passed the query name and underlying function, and must return the wrapped function. Seetest_cachein the non regression tests for a simple example withCacheToolsUtils.- other named parameters are passed as additional connection parameters.
For instance you might consider using
autocommit=Truewithpsycopg.
import anodb
db = anodb.DB("sqlite3", "acme.db", "acme-queries.sql")
db = anodb.DB("duckdb", "acme.db", "acme-queries.sql")
db = anodb.DB("psycopg", "host=localhost dbname=acme", "acme-queries.sql", autocommit=True)
db = anodb.DB("psycopg", None, "acme-queries.sql", host="localhost", user="calvin", password="...", dbname="acme")
db = anodb.DB("psycopg2", "host=localhost dbname=acme", "acme-queries.sql")
db = anodb.DB("pygresql", None, "acme-queries.sql", host="localhost:5432", user="calvin", password="...", database="acme")
db = anodb.DB("pg8000", None, "acme-queries.sql", host="localhost", port=5432, user="calvin", password="...", database="acme")
db = anodb.DB("MySQLdb", None, "acme-queries.sql", host="localhost", port=3306, user="calvin", password="...", database="acme")
db = anodb.DB("pymysql", None, "acme-queries.sql", host="localhost", port=3306, user="calvin", password="...", database="acme")
db = anodb.DB("mysql-connector", None, "acme-queries.sql", host="localhost", port=3306, user="calvin", password="...", database="acme")
db = anodb.DB("mariadb", None, "acme-queries.sql", host="localhost", port=3306, user="calvin", password="...", database="acme")
db = anodb.DB("pymssql", None, "acme-queries.sql", server="localhost", port=1433, user="sa", password="...", database="acme", as_dict=True, autocommit=False)
See DB docstring for knowing about all parameters. The DB class also has context manager support.
License
This code is Public Domain.
All software has bug, this is software, hence… Beware that you may lose your hairs or your friends because of it. If you like it, feel free to send a postcard to the author.
Versions
Sources, documentation and issues are available on GitHub.
See all versions and get packages from PyPI.
Explorar proyectos relacionados
Asabeneh/30-Days-Of-Python
El reto de programación 30 Days of Python es una guía paso a paso para aprender el lenguaje de programación Python en 30 días. Este reto puede llevar más de 100 días. Sigue tu propio ritmo. Estos vídeos también pueden ayudarte: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
78,618 estrellasgrafana/grafana
Plataforma abierta y componible de observabilidad y visualización de datos. Visualiza métricas, registros y trazas de múltiples fuentes, como Prometheus, Loki, Elasticsearch, InfluxDB, Postgres y muchas más.
77,859 estrellasredis/redis
Para los desarrolladores que crean aplicaciones en tiempo real basadas en datos, Redis es la opción preferida, la más rápida y la de más funciones como caché, servidor de estructuras de datos y motor de consultas de documentos y vectores.
77,472 estrellasapache/superset
Apache Superset es una plataforma de visualización y exploración de datos.
75,495 estrellas