fix tests

src/india_api/internal/inputs/indiadb/client.py

@@ -195,7 +195,7 @@ def get_predicted_solar_power_production_for_location(
             forecast_horizon=forecast_horizon,
             forecast_horizon_minutes=forecast_horizon_minutes,
             smooth_flag=smooth_flag,
-            model_name=model_name,
+            ml_model_name=model_name,
         )
 
     def get_predicted_wind_power_production_for_location(
@@ -224,7 +224,7 @@ def get_predicted_wind_power_production_for_location(
             forecast_horizon=forecast_horizon,
             forecast_horizon_minutes=forecast_horizon_minutes,
             smooth_flag=smooth_flag,
-            model_name=model_name,
+            ml_model_name=model_name,
         )
 
     def get_actual_solar_power_production_for_location(

src/india_api/internal/inputs/indiadb/conftest.py

@@ -6,6 +6,7 @@
 import pytest
 from pvsite_datamodel.sqlmodels import Base, ForecastSQL, ForecastValueSQL, GenerationSQL, SiteSQL
 from pvsite_datamodel.read.user import get_user_by_email
+from pvsite_datamodel.read.model import get_or_create_model
 from sqlalchemy import create_engine
 from sqlalchemy.orm import Session
 from testcontainers.postgres import PostgresContainer
@@ -123,6 +124,23 @@ def generations(db_session, sites):
 @pytest.fixture()
 def forecast_values(db_session, sites):
     """Create some fake forecast values"""
+
+    make_fake_forecast_values(db_session, sites, "pvnet_india")
+
+@pytest.fixture()
+def forecast_values_wind(db_session, sites):
+    """Create some fake forecast values"""
+
+    make_fake_forecast_values(db_session, sites, "windnet_india")
+
+@pytest.fixture()
+def forecast_values_site(db_session, sites):
+    """Create some fake forecast values"""
+
+    make_fake_forecast_values(db_session, sites, "pvnet_ad_sites")
+
+
+def make_fake_forecast_values(db_session, sites, model_name):
     forecast_values = []
     forecast_version: str = "0.0.0"
 
@@ -134,6 +152,9 @@ def forecast_values(db_session, sites):
     # To make things trickier we make a second forecast at the same for one of the timestamps.
     timestamps = timestamps + timestamps[-1:]
 
+    # get model
+    ml_model = get_or_create_model(db_session, model_name)
+
     for site in sites:
         for timestamp in timestamps:
             forecast: ForecastSQL = ForecastSQL(
@@ -154,6 +175,7 @@ def forecast_values(db_session, sites):
                     end_utc=timestamp + timedelta(minutes=horizon + duration),
                     horizon_minutes=horizon,
                 )
+                forecast_value.ml_model = ml_model
 
                 forecast_values.append(forecast_value)
 

src/india_api/internal/inputs/indiadb/test_indiadb.py

@@ -23,7 +23,7 @@ def client(engine, db_session):
 
 class TestIndiaDBClient:
     def test_get_predicted_wind_power_production_for_location(
-        self, client, forecast_values
+        self, client, forecast_values_wind
     ) -> None:
         locID = "testID"
         result = client.get_predicted_wind_power_production_for_location(locID)
@@ -33,7 +33,7 @@ def test_get_predicted_wind_power_production_for_location(
             assert isinstance(record, PredictedPower)
 
     def test_get_predicted_wind_power_production_for_location_raise_error(
-        self, client, forecast_values
+        self, client, forecast_values_wind
     ) -> None:
 
         with pytest.raises(Exception):
@@ -83,7 +83,7 @@ def test_get_sites_no_sites(self, client, sites) -> None:
         sites_from_api = client.get_sites(email="[email protected]")
         assert len(sites_from_api) == 0
 
-    def test_get_site_forecast(self, client, sites, forecast_values) -> None:
+    def test_get_site_forecast(self, client, sites, forecast_values_site) -> None:
         out = client.get_site_forecast(site_uuid=str(sites[0].site_uuid), email="[email protected]")
         assert len(out) > 0