Python version of the TerminusDB client - for TerminusDB API and WOQLpy

Overview

TerminusDB Client Python

Discord online Discourse topics Follow on Twitter

Development status ⚙️

Build Status Documentation Status codecov last commit number of contributors

Python Package status 📦

PyPI version shields.io PyPI pyversions GitHub license PyPI download month

Python version of the TerminusDB client - for TerminusDB API and WOQLpy

Client Demo gif

Requirements

Release Notes and Previous Versions

TerminusDB Client v10.0 works with TerminusDB v10.0 and TerminusX. Please check RELEASE_NOTES.md to find out what has changed.

Installation

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

This only includes the core Python Client (WOQLClient) 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

Usage

Python client

Connect to a server

Connect to local host

from terminusdb_client import WOQLClient

client = WOQLClient("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 WOQLClient

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

Create a database

client.create_database("MyDatabase")

Create a schema

from terminusdb_client.woqlschema import WOQLSchema, DocumentTemplate, RandomKey

my_schema = WOQLSchema()

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

my_schema.commit(client)

Create and insert doucments

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])

Get back all documents

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}]

Get a specific document

print(list(client.query_document({"@type":"Pet", "age":5})))
[{'@id': 'Pet/145eb73966d14a1394f7cd5576d7d0b8', '@type': 'Pet', 'age': 5, 'name': 'Tiger', 'species': 'Bengal cat', 'weight': 4.5}]

Delete a database

client.delete_database("MyDatabase")

Scaffolding CLI tool

Scaffolding Demo gif

Start a project in the directory

$terminusdb 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

$terminusdb 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

terminusdb 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

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

Please check the full Documentation for more information.

Tutorials

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

Testing

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

  2. Install all development dependencies using pipenv

$ make init
  1. (a) To run test files only
$ pytest terminusdb_client/tests
  1. (b) To run full test
$ tox -e test

Documentation

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.

Generating Documentation Locally using Sphinx

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

  2. Install all development dependencies

$ make init
  1. Change directory to docs
$ cd docs/
  1. Build with Sphinx
$ make html

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

Report Issues

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 forum or Discord server.

Community

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

Contribute

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.

Licence

Apache License (Version 2.0)

Copyright (c) 2019

Owner
TerminusDB
Build Data Products
TerminusDB
A supercharged SQLite library for Python

SuperSQLite: a supercharged SQLite library for Python A feature-packed Python package and for utilizing SQLite in Python by Plasticity. It is intended

Plasticity 703 Dec 30, 2022
SAP HANA Connector in pure Python

SAP HANA Database Client for Python A pure Python client for the SAP HANA Database based on the SAP HANA Database SQL Command Network Protocol. pyhdb

SAP 299 Nov 20, 2022
Pysolr — Python Solr client

pysolr pysolr is a lightweight Python client for Apache Solr. It provides an interface that queries the server and returns results based on the query.

Haystack Search 626 Dec 01, 2022
A Python wheel containing PostgreSQL

postgresql-wheel A Python wheel for Linux containing a complete, self-contained, locally installable PostgreSQL database server. All servers run as th

Michel Pelletier 71 Nov 09, 2022
aiosql - Simple SQL in Python

aiosql - Simple SQL in Python SQL is code. Write it, version control it, comment it, and run it using files. Writing your SQL code in Python programs

Will Vaughn 1.1k Jan 08, 2023
Some scripts for microsoft SQL server in old version.

MSSQL_Stuff Some scripts for microsoft SQL server which is in old version. Table of content Overview Usage References Overview These script works when

小离 5 Dec 29, 2022
Making it easy to query APIs via SQL

Shillelagh Shillelagh (ʃɪˈleɪlɪ) is an implementation of the Python DB API 2.0 based on SQLite (using the APSW library): from shillelagh.backends.apsw

Beto Dealmeida 207 Dec 30, 2022
google-cloud-bigtable Apache-2google-cloud-bigtable (🥈31 · ⭐ 3.5K) - Google Cloud Bigtable API client library. Apache-2

Python Client for Google Cloud Bigtable Google Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many cor

Google APIs 39 Dec 03, 2022
Py2neo is a client library and toolkit for working with Neo4j from within Python

Py2neo Py2neo is a client library and toolkit for working with Neo4j from within Python applications. The library supports both Bolt and HTTP and prov

py2neo.org 1.2k Jan 02, 2023
Async database support for Python. 🗄

Databases Databases gives you simple asyncio support for a range of databases. It allows you to make queries using the powerful SQLAlchemy Core expres

Encode 3.2k Dec 30, 2022
Prometheus instrumentation library for Python applications

Prometheus Python Client The official Python 2 and 3 client for Prometheus. Three Step Demo One: Install the client: pip install prometheus-client Tw

Prometheus 3.2k Jan 07, 2023
CouchDB client built on top of aiohttp (asyncio)

aiocouchdb source: https://github.com/aio-libs/aiocouchdb documentation: http://aiocouchdb.readthedocs.org/en/latest/ license: BSD CouchDB client buil

aio-libs 53 Apr 05, 2022
A Redis client library for Twisted Python

txRedis Asynchronous Redis client for Twisted Python. Install Install via pip. Usage examples can be found in the examples/ directory of this reposito

Dorian Raymer 127 Oct 23, 2022
Confluent's Kafka Python Client

Confluent's Python Client for Apache KafkaTM confluent-kafka-python provides a high-level Producer, Consumer and AdminClient compatible with all Apach

Confluent Inc. 3.1k Jan 05, 2023
An asyncio compatible Redis driver, written purely in Python. This is really just a pet-project for me.

asyncredis An asyncio compatible Redis driver. Just a pet-project. Information asyncredis is, like I've said above, just a pet-project for me. I reall

Vish M 1 Dec 25, 2021
Estoult - a Python toolkit for data mapping with an integrated query builder for SQL databases

Estoult Estoult is a Python toolkit for data mapping with an integrated query builder for SQL databases. It currently supports MySQL, PostgreSQL, and

halcyon[nouveau] 15 Dec 29, 2022
A CRUD and REST api with mongodb atlas.

Movies_api A CRUD and REST api with mongodb atlas. Setup First import all the python dependencies in your virtual environment or globally by the follo

Pratyush Kongalla 0 Nov 09, 2022
SQL queries to collections

SQC SQL Queries to Collections Examples from sqc import sqc data = [ {"a": 1, "b": 1}, {"a": 2, "b": 1}, {"a": 3, "b": 2}, ] Simple filte

Alexander Volkovsky 0 Jul 06, 2022
sync/async MongoDB ODM, yes.

μMongo: sync/async ODM μMongo is a Python MongoDB ODM. It inception comes from two needs: the lack of async ODM and the difficulty to do document (un)

Scille 428 Dec 29, 2022
aioodbc - is a library for accessing a ODBC databases from the asyncio

aioodbc aioodbc is a Python 3.5+ module that makes it possible to access ODBC databases with asyncio. It relies on the awesome pyodbc library and pres

aio-libs 253 Dec 31, 2022