Bx
In-memory storage for Python
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bx lets you store things in memory. It has a few special features:
- Thread safe
- Setting a timeout before object is destroyed
- JSON Schema validation
- Clean & simple API
- Badass ASCII art
- Supports Python 2.7 and 3.4
Installation
Just make sure you have Python 2.7.x or 3.4.x and pip installed:
$ pip install bxUsage
The code is pretty simple and well-commented, but here's some example usage. If
you want more detail, run pydoc bx.Db once you've installed it or look through
the code to get info.
import bx
student = {
'title': 'student',
'type': 'object',
'required': ['name', 'major', 'gpa'],
'properties': {
'name': {
'type': 'string'
},
'major': {
'type': 'string'
},
'gpa': {
'type': 'number'
}
}
}
# The schema argument defaults to None, and there is also an optional
# debug mode (for console logging) that defaults to False
db = bx.Db(schema=student)
try:
db.put('bad', 'data')
except bx.db.ValidationError: # same as jsonschema.exceptions.ValidationError
print('This does not fit the schema!')
john = {
'name': 'John Doe',
'major': 'Computer Science',
'gpa': 3.6
}
susan = {
'name': 'Susan Jones',
'major': 'Physics',
'gpa': 3.96
}
db.put('john', john)
db.put('susan', susan)
# get average gpa
print(sum([v['gpa'] for v in db.vals()]) / len(db.vals()))
db.delete('susan')
try:
db.delete('bob')
except KeyError:
print('bob is not in the data store!')
