syncwave 0.1.0

Make your code reactive; Turn plain JSONs into a live data store, two-way synced with Python objects.

Syncwave

Make your code reactive; Turn plain JSONs into a live data store, two-way synced with Python objects.

[!WARNING] Syncwave is under active development. Until version 1.0, any minor release (0.x) may introduce breaking API changes. Pin the exact version to use in production.

Version 1.0 will be released when the library is stable, feature-complete, and tested.

Getting Started

Install from PyPI:

# pip
pip install syncwave

# uv
uv add syncwave

Bind a Pydantic model to a JSON file with @syncwave.register. Syncwave automatically synchronizes the file with your in-memory objects.

from pydantic import BaseModel

from syncwave import Syncwave

# 1. Initialise Syncwave with a directory to hold the JSON files.
syncwave = Syncwave(data_dir="data")


# 2. Define and register a model
# This also creates a JSON file at `data/customers.json` if it doesn't exist.
# Otherwise, the data is loaded into the `syncwave` instance.
@syncwave.register(name="customers", key="id")
class Customer(BaseModel):
    id: int
    name: str
    age: int


# syncwave acts as a read-only dict with:
#     keys   -> collection name (e.g. "customers")
#     values -> corresponding SyncStore
# A SyncStore also acts as a read-only dict:
#     keys   -> model's key field (e.g. `id`)
#     values -> live Pydantic model instances


# 3. Create and mutate instances like you would with normal Pydantic objects.
john = Customer(id=1, name="John Doe", age=30)  # Automatically inserted in JSON
john.age = 31  # Automatically updated in JSON


# 4. Delete instances with `SyncStore.delete(key)`.
syncwave["customers"].delete(1)  # Removed from syncwave and JSON

# 5. External edits propagate automatically.
# First, let's add a new customer to populate the JSON file.
Customer(id=2, name="Jane Doe", age=25)

input("Now edit 'data/customers.json' and press Enter…")
print(syncwave)

License

Syncwave is licensed under the MIT License.