pgiki / terminusdb-client-python Goto Github PK

Python client for TerminusDB and TerminusX.

TerminusDB is an open-source graph database and document store. It allows you to link JSON documents in a powerful knowledge graph all through a simple document API.

TerminusX is TerminusDB as a service. SOC 2 certified hosting. Build your beta and get to market fast. Scale up and deploy your own instance. Sign up now.

• TerminusDB v10.0
• Python >=3.7

TerminusDB Client v10.0 works with TerminusDB v10.0 and TerminusX. Please check the Release Notes to find out what has changed.

• TerminusDB Client can be downloaded form PyPI using pip: python -m pip install terminusdb-client

This only includes the core Python Client (Client) and WOQLQuery.

If you want to use woqlDataframe or the import and export csv function in Scaffolding CLI tool:

python -m pip install terminusdb-client[dataframe]

if you are installing form zsh you have to quote the argument like this:

python -m pip install 'terminusdb-client[dataframe]'

• Install from source:

python -m pip install git+https://github.com/terminusdb/terminusdb-client-python.git

Connect to local host

from terminusdb_client import Client

client = Client("http://127.0.0.1:6363/")
client.connect()

Connect to TerminusX

check documentation for TerminusX about how to add the API token to the environment variable

from terminusdb_client import Client

team="MyTeam"
client = Client(f"https://dashboard.terminusdb.com/{team}/")
client.connect(team="MyTeam", use_token=True)

client.create_database("MyDatabase")

from terminusdb_client.schema import Schema, DocumentTemplate, RandomKey

my_schema = Schema()

class Pet(DocumentTemplate):
    _schema = my_schema
    name: str
    species: str
    age: int
    weight: float

my_schema.commit(client)

my_dog = Pet(name="Honda", species="Huskey", age=3, weight=21.1)
my_cat = Pet(name="Tiger", species="Bengal cat", age=5, weight=4.5)
client.insert_document([my_dog, my_cat])

print(list(client.get_all_documents()))

[{'@id': 'Pet/b5edacf854e34fe79c228a91e2af45fb', '@type': 'Pet', 'age': 5, 'name': 'Tiger', 'species': 'Bengal cat', 'weight': 4.5}, {'@id': 'Pet/cdbe3f6d49394b38b952ae315309256d', '@type': 'Pet', 'age': 3, 'name': 'Honda', 'species': 'Huskey', 'weight': 21.1}]

print(list(client.query_document({"@type":"Pet", "age":5})))

[{'@id': 'Pet/145eb73966d14a1394f7cd5576d7d0b8', '@type': 'Pet', 'age': 5, 'name': 'Tiger', 'species': 'Bengal cat', 'weight': 4.5}]

client.delete_database("MyDatabase")

Start a project in the directory

$ tdbpy startproject
Please enter a project name (this will also be the database name): mydb
Please enter a endpoint location (press enter to use localhost default) [http://127.0.0.1:6363/]:
config.json and schema.py created, please customize them to start your project.

Import a CSV named grades.csv

$ tdbpy importcsv grades.csv --na=error
0it [00:00, ?it/s]
Schema object Grades created with grades.csv inserted into database.
schema.py is updated with mydb schema.
1it [00:00,  1.00it/s]
Records in grades.csv inserted as type Grades into database with Lexical ids.

Get documents with query

$ tdbpy alldocs --type Grades -q grade="B-"
[{'@id': 'Grades/Android_Electric_087-65-4321_42.0_23.0_36.0_45.0_47.0_B-', '@type': 'Grades', 'final': 47.0, 'first_name': 'Electric', 'grade': 'B-', 'last_name': 'Android', 'ssn': '087-65-4321', 'test1': 42.0, 'test2': 23.0, 'test3': 36.0, 'test4': 45.0}, {'@id': 'Grades/Elephant_Ima_456-71-9012_45.0_1.0_78.0_88.0_77.0_B-', '@type': 'Grades', 'final': 77.0, 'first_name': 'Ima', 'grade': 'B-', 'last_name': 'Elephant', 'ssn': '456-71-9012', 'test1': 45.0, 'test2': 1.0, 'test3': 78.0, 'test4': 88.0}, {'@id': 'Grades/Franklin_Benny_234-56-2890_50.0_1.0_90.0_80.0_90.0_B-', '@type': 'Grades', 'final': 90.0, 'first_name': 'Benny', 'grade': 'B-', 'last_name': 'Franklin', 'ssn': '234-56-2890', 'test1': 50.0, 'test2': 1.0, 'test3': 90.0, 'test4': 80.0}]

Delete the database

$ tdbpy deletedb
Do you want to delete 'mydb'? WARNING: This opertation is non-reversible. [y/N]: y
mydb deleted.

There is a list of examples that uses the Python client in our tutorial repo. As a start, we would recommend having a look at create TerminusDB graph with Python client using Jupyter notebook

1. Clone this repository git clone https://github.com/terminusdb/terminusdb-client-python.git

2. Install all development dependencies using poetry

$ make init

3. (a) To run test files only

$ poetry run pytest terminusdb_client/tests

3. (b) To run full test

$ poetry run tox -e test

Or you can run tests in poetry shell then no need to use poetry run

Visit our TerminusDB Documentation for the full explanation of using TerminusDB.

Documentation specifically on the latest version of the Python Client can be found here.

1. Clone this repository git clone https://github.com/terminusdb/terminusdb-client-python.git

2. Install all development dependencies

$ make init

3. Change directory to docs

$ cd docs/

4. Build with Sphinx

$ make html

The output files are under docs/build/html, open index.html in your browser to inspect.

If you encounter any issues, please report them with your os and environment setup, the version that you are using and a simple reproducible case.

If you have other questions, you can ask in our community community Subreddit or Discord server.

Come visit us on our discord server or our community Subreddit. We are also on twitter

It will be nice, if you open an issue first so that we can know what is going on, then, fork this repo and push in your ideas. Do not forget to add some test(s) of what value you adding.

Please check CONTRIBUTING.md for more information.

Apache License (Version 2.0)

Copyright (c) 2019