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hydopt-client

Python client for the HydOpt hydropower optimization API.

Install

uv add hydopt-client

Authentication

Every provider implements TokenProvider and plugs into the client via Client(token_provider=...). The default is ServiceAccountTokenProvider targeting WEB_CLIENT_ID, the OAuth client id the HydOpt API accepts as token audience.

Local development — mint an ID token from a service account key:

from hydopt_client.auth import WEB_CLIENT_ID, ServiceAccountTokenProvider
from hydopt_client.client import Client

client = Client(
    token_provider=ServiceAccountTokenProvider(
        audience=WEB_CLIENT_ID,
        key_path="/path/to/sa-key.json",
    )
)

Create the key in Google Cloud Console (IAM & Admin → Service Accounts → Keys, project hydopt) or with:

gcloud iam service-accounts keys create ~/.config/gcloud/hydopt-sa.json \
    --iam-account <SA_EMAIL> --project hydopt

If key_path is omitted, credentials are resolved through Application Default Credentials. Locally, point GOOGLE_APPLICATION_CREDENTIALS at your key file before running:

export GOOGLE_APPLICATION_CREDENTIALS=$HOME/.config/gcloud/hydopt-sa.json
uv run streamlit run examples/streamlit_app.py

Note: end-user credentials from gcloud auth application-default login do not work for this flow — use a service account key. Keep the key file outside any git repository.

Deployed on Cloud Run — mints a service-to-service ID token for WEB_CLIENT_ID via the metadata server (no key file needed). Only without a configured audience does it forward the IAP JWT injected into the incoming request — such forwarded tokens carry this app's own IAP client id as audience and are only accepted by APIs that explicitly trust it:

from hydopt_client.auth import WEB_CLIENT_ID
from hydopt_client.auth.iap import CloudRunIAPTokenProvider  # requires streamlit

client = Client(token_provider=CloudRunIAPTokenProvider(audience=WEB_CLIENT_ID))

The bundled example app picks automatically: CloudRunIAPTokenProvider when it detects it runs on Cloud Run (K_SERVICE env var), ServiceAccountTokenProvider otherwise.

Quick Start

from hydopt_client.client import Client

client = Client()

# List available partition dates
dates = client.list_partitions()
print(dates)  # ["2026-01-01", "2026-01-02", ...]

# Fetch a time series
records = client.series(dates[0], "production")
for record in records:
    print(record.name, record.x[0], record.y[0])

# Filter and group results
from hydopt_client.client import Filters, GroupBy

filtered = client.series(
    dates[0],
    "production",
    filters=Filters(country=["norway"]),
    group_by=[GroupBy.region],
)

Available Methods

Method Description
list_partitions() List available partition dates
series(asof, category1, ...) Query time-series data
diff(category1, from, to, ...) Compare two partitions
static(category1, ...) Query static dataset
realized(category1, ...) Query realized dataset
anomaly(asof, category1, ...) Subtract Normal from Forecast, History, Actual, and/or Actual region. Filter with Filters(value_type=["Forecast"]) (repeat values for several); omit value_type to get all four.
hierarchy_layers(asof, graph=...) Owners, regions, and other graph layers
catchments(asof) Fetch catchment geometries
orders(asof) Fetch energy orders
object_report(source, target) Compare two partition objects

Metadata

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