diff --git a/tests/conftest.py b/tests/conftest.py
index b61784c..018c36a 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -15,7 +15,7 @@
 import zarr
 from pvsite_datamodel import DatabaseConnection
 from pvsite_datamodel.read.model import get_or_create_model
-from pvsite_datamodel.sqlmodels import Base, GenerationSQL, ForecastSQL, ForecastValueSQL, SiteSQL
+from pvsite_datamodel.sqlmodels import Base, ForecastSQL, ForecastValueSQL, GenerationSQL, SiteSQL
 from sqlalchemy import create_engine
 from testcontainers.postgres import PostgresContainer
 
diff --git a/tests/test_adjuster.py b/tests/test_adjuster.py
index ec43b08..3c84cce 100644
--- a/tests/test_adjuster.py
+++ b/tests/test_adjuster.py
@@ -1,11 +1,13 @@
+""" Test for adjuster.py """
 from datetime import datetime
 
 import pandas as pd
 
-from india_forecast_app.adjuster import get_me_values, adjust_forecast_with_adjuster
+from india_forecast_app.adjuster import adjust_forecast_with_adjuster, get_me_values
 
 
 def test_get_me_values_no_values(db_session, sites):
+    """Check no ME results are found with no forecast or generation values"""
 
     me_df = get_me_values(db_session, 10, site_uuid=sites[0].site_uuid, ml_model_name="test")
 
@@ -13,6 +15,7 @@ def test_get_me_values_no_values(db_session, sites):
 
 
 def test_get_me_values(db_session, sites, generation_db_values, forecasts):
+    """Check ME results are found"""
 
     hour = pd.Timestamp(datetime.now()).hour
     me_df = get_me_values(db_session, hour, site_uuid=sites[0].site_uuid, ml_model_name="test")
@@ -21,6 +24,7 @@ def test_get_me_values(db_session, sites, generation_db_values, forecasts):
 
 
 def test_get_me_values_no_generation(db_session, sites, forecasts):
+    """Check no ME results are found with no generation values"""
 
     hour = pd.Timestamp(datetime.now()).hour
     me_df = get_me_values(db_session, hour, site_uuid=sites[0].site_uuid, ml_model_name="test")
@@ -29,6 +33,7 @@ def test_get_me_values_no_generation(db_session, sites, forecasts):
 
 
 def test_get_me_values_no_forecasts(db_session, sites, generation_db_values):
+    """Check no ME results are found with no generation values"""
 
     hour = pd.Timestamp(datetime.now()).hour
     me_df = get_me_values(db_session, hour, site_uuid=sites[0].site_uuid, ml_model_name="test")
@@ -37,6 +42,7 @@ def test_get_me_values_no_forecasts(db_session, sites, generation_db_values):
 
 
 def test_adjust_forecast_with_adjuster(db_session, sites, generation_db_values, forecasts):
+    """Check forecast gets adjuster"""
     forecast_meta = {"timestamp_utc": datetime.now(), "site_uuid": sites[0].site_uuid}
     forecast_values_df = pd.DataFrame(
         {
@@ -56,6 +62,7 @@ def test_adjust_forecast_with_adjuster(db_session, sites, generation_db_values,
 
 
 def test_adjust_forecast_with_adjuster_no_values(db_session, sites):
+    """Check forecast doesnt adjuster, no me values"""
     forecast_meta = {"timestamp_utc": datetime.now(), "site_uuid": sites[0].site_uuid}
     forecast_values_df = pd.DataFrame(
         {