This package provides an asynchronous HTTP client for interacting with ReductStore in Python.
- Supports the ReductStore HTTP API v1.15
- Bucket management
- API Token management
- Write, read and query data
- Labeling records
- Batching records for read and write operations
- Subscription
- Replication management
To install this package, run the following command:
pip install reduct-py
Here is an example of how to use this package to create a bucket, write data to it, and read data from it:
from reduct import Client, BucketSettings, QuotaType
async def main():
# 1. Create a ReductStore client
async with Client("http://localhost:8383", api_token="my-token") as client:
# 2. Get or create a bucket with 1Gb quota
bucket = await client.create_bucket(
"my-bucket",
BucketSettings(quota_type=QuotaType.FIFO, quota_size=1_000_000_000),
exist_ok=True,
)
# 3. Write some data with timestamps in the 'entry-1' entry
await bucket.write("sensor-1", b"<Blob data>",
timestamp="2024-01-01T10:00:00Z",
labels={"score": 10})
await bucket.write("sensor-1", b"<Blob data>",
timestamp="2024-01-01T10:00:01Z",
labels={"score": 20})
# 4. Query the data by time range and condition
async for record in bucket.query("sensor-1",
start="2024-01-01T10:00:00Z",
stop="2024-01-01T10:00:02Z",
when={"&score": {"$gt": 10}}):
print(f"Record timestamp: {record.timestamp}")
print(f"Record size: {record.size}")
print(await record.read_all())
# 5. Run the main function
if __name__ == "__main__":
import asyncio
asyncio.run(main())
For more examples, see the Guides section in the ReductStore documentation.
The library is backward compatible with the previous versions. However, some methods have been deprecated and will be removed in the future releases. Please refer to CHANGELOG.md for more details. The SDK supports the following ReductStore API versions:
- v1.15
- v1.14
- v1.13
It can work with newer and older versions, but it is not guaranteed that all features will work as expected because the API may change and some features may be deprecated or the SDK may not support them yet.