DataGraphs Python Client
Python client library for DataGraphs.
Installation
uv add pydatagraphs
or
pip install pydatagraphs
Quick starts
from datagraphs import Client
# Connect to a project
client = Client(
project_name="my-project",
api_key="your-api-key",
)
# Check the API is reachable
print(client.status())
# Retrieve all entities of a given type
products = client.get("Product")
# Query with filters and pagination
results = client.query(q="Acme", page_size=50)
from datagraphs import Client
# Connect to a project
client = Client(
project_name="my-project",
api_key="your-api-key",
client_id="your-client-id",
client_secret="your-client-secret"
)
# Read the project schema and dataset configurations
schema = client.get_schema()
datasets = client.get_datasets()
# Update the project schema and dataset configurations
client.apply_schema(schema)
client.apply_datasets(datasets)
import json
from datagraphs import Client, Gateway, Schema, Dataset
# Connect to a project
client = Client(
project_name="my-project",
api_key="your-api-key",
client_id="your-client-id",
client_secret="your-client-secret"
)
gateway = Gateway(client)
# Load / dump data via the Gateway
gateway.dump_data("./backup")
gateway.load_data(from_dir_path="./backup")
# Load / dump project via the Gateway
schema_output_path = "./schemas/"
datasets_output_path = "./datasets/"
gateway.dump_project(schema_output_path, datasets_output_path)
with open("./schemas/myproject-model-v1.0.json") as f:
schema_data = json.load(f)
with open("./datasets/myproject-datasets-v1.0.json") as f:
datasets_data = json.load(f)
schema = Schema.create_from(schema_data)
datasets = [Dataset.create_from(d) for d in datasets_data]
gateway.load_project(schema, datasets)
For full API documentation, please see here
Authentication
For read-only access, an API key is sufficient. For write operations, supply OAuth credentials as well:
client = Client(
project_name="my-project",
api_key="your-api-key",
client_id="your-client-id",
client_secret="your-client-secret",
)
Key classes
| Class | Description |
|---|---|
Client |
HTTP client for the DataGraphs REST API |
Gateway |
Higher-level wrapper class for deploying projects and bulk export/load of data |
Schema |
In-memory representation of a project's domain model |
Dataset |
Represents a dataset within a project |
Development
Install uv, then:
uv sync # create virtualenv & install deps
uv run pytest tests -v # unit tests
uv run pytest tests_integration -v # integration tests
uv run pytest tests -v --capture=tee-sys # capturing stdout/stderr
uv run pytest --cov=src --cov-report=html # coverage report
uvx ruff check . # lint
License
MIT — Copyright (c) 2026 Data Language
1 maintainer
Metadata
1 maintainer
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