Loading autocnet/graph/network.py +2 −3 Original line number Diff line number Diff line Loading @@ -1548,8 +1548,7 @@ WHERE """ # Ingest isis control net as a df and do some massaging data = cnet.from_isis(path) data['jigsawFullRejected'] = data['pointJigsawRejected'] | data['measureJigsawRejected'] data_to_update = data[['id', 'serialnumber', 'jigsawFullRejected', 'sampleResidual', 'lineResidual', 'samplesigma', 'linesigma', 'adjustedCovar', 'apriorisample', 'aprioriline']] data_to_update = data[['id', 'serialnumber', 'measureJigsawRejected', 'sampleResidual', 'lineResidual', 'samplesigma', 'linesigma', 'adjustedCovar', 'apriorisample', 'aprioriline']] data_to_update['adjustedCovar'] = data_to_update['adjustedCovar'].apply(lambda row : list(row)) data_to_update['id'] = data_to_update['id'].apply(lambda row : int(row)) Loading @@ -1558,7 +1557,7 @@ WHERE sql = """ UPDATE measures AS f SET "measureJigsawRejected" = t."jigsawFullRejected", sampler = t."sampleResidual", liner = t."lineResidual", samplesigma = t."samplesigma", linesigma = t."linesigma", apriorisample = t."apriorisample", aprioriline = t."aprioriline" SET "measureJigsawRejected" = t."measureJigsawRejected", sampler = t."sampleResidual", liner = t."lineResidual", samplesigma = t."samplesigma", linesigma = t."linesigma", apriorisample = t."apriorisample", aprioriline = t."aprioriline" FROM temp_measures AS t WHERE f.serialnumber = t.serialnumber AND f.pointid = t.id; Loading autocnet/graph/tests/test_network_graph.py +2 −2 Original line number Diff line number Diff line Loading @@ -16,7 +16,7 @@ def cnet(): 'serialnumber' : ['BRUH'], 'measureJigsawRejected': [False], 'sampleResidual' : [0.1], 'pointIngore' : [False], 'pointIgnore' : [False], 'pointJigsawRejected': [False], 'lineResidual' : [0.1], 'linesigma' : [0], Loading @@ -40,7 +40,7 @@ def test_creation(): ncg = NetworkCandidateGraph() @pytest.mark.parametrize("image_data, expected_npoints", [({'id':1, 'serial': 'BRUH'}, 1)]) @pytest.mark.parametrize("image_data, expected_npoints", [({'id':1, 'serialnumber': 'BRUH'}, 1)]) def test_place_points_from_cnet(session, cnet, image_data, expected_npoints): model.Images.create(session, **image_data) ncg = NetworkCandidateGraph.from_database() Loading autocnet/io/db/tests/test_model.py +1 −1 Original line number Diff line number Diff line Loading @@ -157,7 +157,7 @@ def test_measures_exists(tables): @patch('plio.io.io_controlnetwork.from_isis', return_value = pd.DataFrame.from_dict({'id': [1], 'serialnumber': ['ISISSERIAL'], 'pointJigsawRejected': [False], 'jigsawRejected': [False], 'measureJigsawRejected': [False], 'sampleResidual': [0.1], 'lineResidual': [0.1], 'samplesigma': [0], Loading Loading
autocnet/graph/network.py +2 −3 Original line number Diff line number Diff line Loading @@ -1548,8 +1548,7 @@ WHERE """ # Ingest isis control net as a df and do some massaging data = cnet.from_isis(path) data['jigsawFullRejected'] = data['pointJigsawRejected'] | data['measureJigsawRejected'] data_to_update = data[['id', 'serialnumber', 'jigsawFullRejected', 'sampleResidual', 'lineResidual', 'samplesigma', 'linesigma', 'adjustedCovar', 'apriorisample', 'aprioriline']] data_to_update = data[['id', 'serialnumber', 'measureJigsawRejected', 'sampleResidual', 'lineResidual', 'samplesigma', 'linesigma', 'adjustedCovar', 'apriorisample', 'aprioriline']] data_to_update['adjustedCovar'] = data_to_update['adjustedCovar'].apply(lambda row : list(row)) data_to_update['id'] = data_to_update['id'].apply(lambda row : int(row)) Loading @@ -1558,7 +1557,7 @@ WHERE sql = """ UPDATE measures AS f SET "measureJigsawRejected" = t."jigsawFullRejected", sampler = t."sampleResidual", liner = t."lineResidual", samplesigma = t."samplesigma", linesigma = t."linesigma", apriorisample = t."apriorisample", aprioriline = t."aprioriline" SET "measureJigsawRejected" = t."measureJigsawRejected", sampler = t."sampleResidual", liner = t."lineResidual", samplesigma = t."samplesigma", linesigma = t."linesigma", apriorisample = t."apriorisample", aprioriline = t."aprioriline" FROM temp_measures AS t WHERE f.serialnumber = t.serialnumber AND f.pointid = t.id; Loading
autocnet/graph/tests/test_network_graph.py +2 −2 Original line number Diff line number Diff line Loading @@ -16,7 +16,7 @@ def cnet(): 'serialnumber' : ['BRUH'], 'measureJigsawRejected': [False], 'sampleResidual' : [0.1], 'pointIngore' : [False], 'pointIgnore' : [False], 'pointJigsawRejected': [False], 'lineResidual' : [0.1], 'linesigma' : [0], Loading @@ -40,7 +40,7 @@ def test_creation(): ncg = NetworkCandidateGraph() @pytest.mark.parametrize("image_data, expected_npoints", [({'id':1, 'serial': 'BRUH'}, 1)]) @pytest.mark.parametrize("image_data, expected_npoints", [({'id':1, 'serialnumber': 'BRUH'}, 1)]) def test_place_points_from_cnet(session, cnet, image_data, expected_npoints): model.Images.create(session, **image_data) ncg = NetworkCandidateGraph.from_database() Loading
autocnet/io/db/tests/test_model.py +1 −1 Original line number Diff line number Diff line Loading @@ -157,7 +157,7 @@ def test_measures_exists(tables): @patch('plio.io.io_controlnetwork.from_isis', return_value = pd.DataFrame.from_dict({'id': [1], 'serialnumber': ['ISISSERIAL'], 'pointJigsawRejected': [False], 'jigsawRejected': [False], 'measureJigsawRejected': [False], 'sampleResidual': [0.1], 'lineResidual': [0.1], 'samplesigma': [0], Loading