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Wrapper around sqlite3 which allows working simply with python dictionaries as well as combining it with sql syntax.
Use the package manager pip to install sqlite3dict.
pip install sqlite3dict
from sqlite3dict import Storage
from datetime import datetime
# ******************************************************************************
# * Test
# ******************************************************************************
with Storage("test.sqlite") as store:
definitions = {
"name": "TEXT",
"age": "INTEGER",
"amount": "DOUBLE",
"createdate": "DATETIME",
"resident": "BOOLEAN"
}
# This creates the table (collection) only if it does not exist already
collection = store.init_collection("test", definitions)
# Insert data
collection.insert({
"name": "John Doe",
"age": 25,
"amount": 100.23,
"createdate": datetime.now(),
"resident": True,
"additional": {
"prop1": 1,
"prop2": 1,
"other": ["A", "B"]
}
})
collection.insert({
"name": "John Doe",
"age": 10,
"amount": 100.00,
"createdate": datetime.now(),
"resident": True
})
# Update inserted data by given criteria
collection.update().data({
"createdate": datetime.now(),
"age": 15,
"amount": 99.38,
"resident": False
}).where("age = 25").execute()
# Simple query for data
list = collection.query().where("age = 15").limit(10).offset(0).order("createdate", "ASC").order("ID").execute()
for item in list:
print("item:", item)
# Delete data by given criteria
collection.delete().where("age = 15").execute()
# Native SQL query in case you still need it
items = store.query_native("select * from test")
for item in items:
print("native item:", item)
# Drop table (collection)
store.delete_collection("test")
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
FAQs
Wrapper around sqlite3 to work with dictionaries
We found that sqlite3dict demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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