Welcome to the GitHub page for python-arango, a Python driver for ArangoDB.

Announcements

Python-arango version 4.0.0 is now out!
Please see the releases page for latest updates.

Features

Clean Pythonic interface.
Lightweight.
High ArangoDB REST API coverage.

Compatibility

Python versions 2.7, 3.4, 3.5 and 3.6 are supported.
Python-arango 4.x supports ArangoDB 3.3+ (recommended).
Python-arango 3.x supports ArangoDB 3.0 ~ 3.2 only.
Python-arango 2.x supports ArangoDB 1.x ~ 2.x only.

Installation

To install a stable version from PyPi:

~$ pip install python-arango

To install the latest version directly from GitHub:

~$ pip install -e git+git@github.com:joowani/python-arango.git@master#egg=python-arango

You may need to use sudo depending on your environment.

Getting Started

Here is a simple usage example:

from arango import ArangoClient

# Initialize the client for ArangoDB.
client = ArangoClient(protocol='http', host='localhost', port=8529)

# Connect to "_system" database as root user.
sys_db = client.db('_system', username='root', password='passwd')

# Create a new database named "test".
sys_db.create_database('test')

# Connect to "test" database as root user.
db = client.db('test', username='root', password='passwd')

# Create a new collection named "students".
students = db.create_collection('students')

# Add a hash index to the collection.
students.add_hash_index(fields=['name'], unique=True)

# Insert new documents into the collection.
students.insert({'name': 'jane', 'age': 39})
students.insert({'name': 'josh', 'age': 18})
students.insert({'name': 'judy', 'age': 21})

# Execute an AQL query and iterate through the result cursor.
cursor = db.aql.execute('FOR doc IN students RETURN doc')
student_names = [document['name'] for document in cursor]

Here is another example with graphs:

from arango import ArangoClient

# Initialize the client for ArangoDB.
client = ArangoClient(protocol='http', host='localhost', port=8529)

# Connect to "test" database as root user.
db = client.db('test', username='root', password='passwd')

# Create a new graph named "school".
graph = db.create_graph('school')

# Create vertex collections for the graph.
students = graph.create_vertex_collection('students')
lectures = graph.create_vertex_collection('lectures')

# Create an edge definition (relation) for the graph.
register = graph.create_edge_definition(
    edge_collection='register',
    from_vertex_collections=['students'],
    to_vertex_collections=['lectures']
)

# Insert vertex documents into "students" (from) vertex collection.
students.insert({'_key': '01', 'full_name': 'Anna Smith'})
students.insert({'_key': '02', 'full_name': 'Jake Clark'})
students.insert({'_key': '03', 'full_name': 'Lisa Jones'})

# Insert vertex documents into "lectures" (to) vertex collection.
lectures.insert({'_key': 'MAT101', 'title': 'Calculus'})
lectures.insert({'_key': 'STA101', 'title': 'Statistics'})
lectures.insert({'_key': 'CSC101', 'title': 'Algorithms'})

# Insert edge documents into "register" edge collection.
register.insert({'_from': 'students/01', '_to': 'lectures/MAT101'})
register.insert({'_from': 'students/01', '_to': 'lectures/STA101'})
register.insert({'_from': 'students/01', '_to': 'lectures/CSC101'})
register.insert({'_from': 'students/02', '_to': 'lectures/MAT101'})
register.insert({'_from': 'students/02', '_to': 'lectures/STA101'})
register.insert({'_from': 'students/03', '_to': 'lectures/CSC101'})

# Traverse the graph in outbound direction, breadth-first.
result = graph.traverse(
    start_vertex='students/01',
    direction='outbound',
    strategy='breadthfirst'
)

Check out the documentation for more information.

Contributing

Please take a look at this page before submitting a pull request. Thanks!

ehsanonline / python-arango