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Python client for cshenton/seer

Project description

# Seer Python Client
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The python client for the seer forecasting server.

## Installation

The seer python client is available on PyPi, so just `pip install seer` to get the latest release.

## Usage

If you don't have a running instance of seer, then run the docker image:
docker run -d -p 8080:8080 cshenton/seer

Then, to interact over localhost
import datetime
import seer

# Input data, parameters
host = "localhost:8080"
name = "myStream"
period = 3600
times = [...]
values = [...]
forecast_length = 100

# Connect to the server and create a stream
client = seer.Client(host)
client.create_stream(name, period)

# Feed in most of the data, generate a forecast
client.update_stream(name, times, values)
f = client.get_forecast(name, forecast_length)

# Graph the forecast against the true result
def graph(times, values, forecast):

graph(times, values, f)

## (For Contributors) Generating gRPC stubs

Assuming this repo is stored in `cshenton/seer-python`, next to `cshenton/seer`,
we generate client stubs with:

# Generates and
python -m grpc_tools.protoc -I ../seer/seer --python_out=./seer --grpc_python_out=./seer ../seer/seer/seer.proto

Then, because the grpc devs don't care about python 3, we need to fix the relative imports.
# in
# From this
import seer_pb2 as seer__pb2

# To this
from . import seer_pb2 as seer__pb2

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