diff --git a/tests/models/test_image_querying.py b/tests/models/test_image_querying.py
index 5bd8ec51..7534dd1a 100644
--- a/tests/models/test_image_querying.py
+++ b/tests/models/test_image_querying.py
@@ -712,7 +712,7 @@ def test_image_query(ptf_ref, decam_reference, decam_datastore, decam_default_ca
         # assert results4[1].type == 'Sci'  # the second one is the regular image
         assert results4[0].type == 'Sci'  # the first one out is the regular image
         assert results4[1].type == 'ComSci'  # the second one is the high quality coadd
-        # import pdb; pdb.set_trace()
+        import pdb; pdb.set_trace()
         # check that the DECam difference and new image it is based on have the same limiting magnitude and quality
         stmt = Image.query_images(instrument='DECam', type=3)
         diff = session.scalars(stmt).first()
diff --git a/tests/models/test_measurements.py b/tests/models/test_measurements.py
index adf7faf9..6d7c6d63 100644
--- a/tests/models/test_measurements.py
+++ b/tests/models/test_measurements.py
@@ -119,33 +119,36 @@ def test_measurements_attributes(measurer, ptf_datastore, test_config):
         assert limMagEst == pytest.approx(20.00, abs=0.5)
 
     from pipeline.data_store import DataStore
-    ds = DataStore(image_id=1126)
-    im = ds.get_image()
-    sl = ds.get_sources()
-    # import pdb; pdb.set_trace()
-    limMagResults = sl.estimate_lim_mag(aperture=1, givePlotParams=True)
-    limMagEst = limMagResults[0]
-    snrs = limMagResults[1]
-    mags = limMagResults[2]
-    grad = limMagResults[3]
-    intercept = limMagResults[4]
-
-    xdata = np.linspace(np.log(3),np.log(20),1000)
-    plt.plot(snrs,mags,linewidth=0,marker='o',c='midnightblue')
-    plt.plot(xdata, grad * xdata + intercept, c='firebrick')
-    plt.xlabel('log SNR')
-    plt.ylabel('magnitude')
-    plt.title('Limiting magntiude = {:.2f} mag'.format(limMagEst))
-    ymin,ymax = plt.gca().get_ylim()
-    plt.vlines(x=np.log(5),ymin=ymin,ymax=ymax)
-    plt.hlines(y=limMagEst,xmin=np.log(3),xmax=np.log(20))
-    plt.xlim(np.log(3),np.log(20))
-    plt.ylim(ymin,ymax)
-    plt.savefig('plots/snr_mag_plot.png')
-    plt.show()
-    # import pdb; pdb.set_trace()
+    from models.source_list import SourceList
+    from models.base import SmartSession
 
+    with SmartSession() as session:
+        ds = DataStore(image_id=1126)
+        im = ds.get_image()
+        # sl = ds.get_sources()
+        sl = (session.query( SourceList ).filter( SourceList.image_id==1126 ).all())[0]
+        import pdb; pdb.set_trace()
+        limMagResults = sl.estimate_lim_mag(aperture=1, givePlotParams=True)
+        limMagEst = limMagResults[0]
+        snrs = limMagResults[1]
+        mags = limMagResults[2]
+        grad = limMagResults[3]
+        intercept = limMagResults[4]
 
+        xdata = np.linspace(np.log(3),np.log(20),1000)
+        plt.plot(snrs,mags,linewidth=0,marker='o',c='midnightblue')
+        plt.plot(xdata, grad * xdata + intercept, c='firebrick')
+        plt.xlabel('log SNR')
+        plt.ylabel('magnitude')
+        plt.title('Limiting magntiude = {:.2f} mag'.format(limMagEst))
+        ymin,ymax = plt.gca().get_ylim()
+        plt.vlines(x=np.log(5),ymin=ymin,ymax=ymax)
+        plt.hlines(y=limMagEst,xmin=np.log(3),xmax=np.log(20))
+        plt.xlim(np.log(3),np.log(20))
+        plt.ylim(ymin,ymax)
+        plt.savefig('plots/snr_mag_plot_db.png')
+        plt.show()
+        # import pdb; pdb.set_trace()