datasynth-py 0.2.3

Python wrapper for DataSynth synthetic data generation

datasynth-py

Python wrapper for the DataSynth synthetic data generator.

Installation

From PyPI

pip install datasynth-py[all]

Or install specific extras:

pip install datasynth-py           # Core only (no dependencies)
pip install datasynth-py[cli]      # CLI generation (PyYAML)
pip install datasynth-py[memory]   # In-memory tables (pandas)
pip install datasynth-py[streaming] # Streaming (websockets)
pip install datasynth-py[all]      # All optional dependencies

From Source

cd python
pip install -e ".[all]"

Quick Start

from datasynth_py import DataSynth, CompanyConfig, Config, GlobalSettings, ChartOfAccountsSettings

config = Config(
    global_settings=GlobalSettings(
        industry="retail",
        start_date="2024-01-01",
        period_months=12,
    ),
    companies=[
        CompanyConfig(code="C001", name="Retail Corp", currency="USD", country="US"),
    ],
    chart_of_accounts=ChartOfAccountsSettings(complexity="small"),
)

synth = DataSynth()
result = synth.generate(config=config, output={"format": "csv", "sink": "temp_dir"})
print(result.output_dir)

Using Blueprints

from datasynth_py import DataSynth
from datasynth_py.config import blueprints

config = blueprints.retail_small(companies=4, transactions=10000)
synth = DataSynth()
result = synth.generate(config=config, output={"format": "parquet", "sink": "path", "path": "./output"})

Integration Features (v0.2.2+)

from datasynth_py import (
    Config,
    StreamingSettings,
    RateLimitSettings,
    TemporalAttributeSettings,
    RelationshipSettings,
    GraphExportSettings,
)

config = Config(
    # ... other settings ...

    # Streaming output with backpressure
    streaming=StreamingSettings(
        enabled=True,
        buffer_size=1000,
        backpressure="block",  # block, drop_oldest, drop_newest, buffer
    ),

    # Rate limiting for controlled throughput
    rate_limit=RateLimitSettings(
        enabled=True,
        entities_per_second=10000.0,
        burst_size=100,
    ),

    # Bi-temporal data support
    temporal_attributes=TemporalAttributeSettings(
        enabled=True,
        generate_version_chains=True,
        avg_versions_per_entity=1.5,
    ),

    # Relationship generation with cardinality rules
    relationships=RelationshipSettings(
        enabled=True,
        allow_orphans=True,
        orphan_probability=0.01,
    ),

    # Graph export including RustGraph format
    graph_export=GraphExportSettings(
        enabled=True,
        formats=["pytorch_geometric", "rustgraph"],
    ),
)

Requirements

The wrapper shells out to the datasynth-data CLI binary. Build it with:

cargo build --release
export DATASYNTH_BINARY=target/release/datasynth-data

Or pass binary_path when creating the client:

synth = DataSynth(binary_path="/path/to/datasynth-data")

Documentation

See the Python Wrapper Guide for complete documentation.

License

Apache 2.0 License - see the main project LICENSE file.