From 502b6e9a5d1d731af5b23f2c8caeb8d5843a591c Mon Sep 17 00:00:00 2001 From: Christoph Berger Date: Thu, 22 Aug 2019 12:19:36 -0400 Subject: [PATCH 01/17] adds two new test cases for multi input --- .../mockmodels/contrib_src_mi/inference.py | 10 ++++ .../sample_data/valid_input_list.json | 10 ++++ framework/modelhubapi_tests/pythonapi_test.py | 21 ++++++++- framework/modelhublib/processor.py | 46 +++++++++---------- 4 files changed, 62 insertions(+), 25 deletions(-) create mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/inference.py b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/inference.py index c1bbbd7..b680ea3 100644 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/inference.py +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/inference.py @@ -22,6 +22,16 @@ def __init__(self): def infer(self, input): pass +class ModelNeedsTwoInputs(ModelBase): + def _init_(self): + pass + + def infer(self, input): + if isinstance(input, dict): + return True + else: + raise IOError("Passed file" + input + "is no dictionary!") + class ModelReturnsOneLabelList(ModelBase): def __init__(self): diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json new file mode 100644 index 0000000..64b9535 --- /dev/null +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json @@ -0,0 +1,10 @@ +{ + "t1":{ + "type": "nii.gz", + "fileurl": "this/path/here" + }, + "flair":{ + "type": "nii.gz", + "fileurl": "http://anythingontheweb.url/dogbrain.nii.gz" + } +} diff --git a/framework/modelhubapi_tests/pythonapi_test.py b/framework/modelhubapi_tests/pythonapi_test.py index 77409a5..0be1759 100644 --- a/framework/modelhubapi_tests/pythonapi_test.py +++ b/framework/modelhubapi_tests/pythonapi_test.py @@ -7,7 +7,7 @@ from .mockmodels.contrib_src_si.inference import Model from .mockmodels.contrib_src_si.inference import ModelReturnsOneNumpyArray from .mockmodels.contrib_src_si.inference import ModelReturnsListOfOneNumpyArray, ModelReturnsListOfOneLabelList -from .mockmodels.contrib_src_mi.inference import ModelReturnsOneLabelList +from .mockmodels.contrib_src_mi.inference import ModelReturnsOneLabelList, ModelNeedsTwoInputs class TestModelHubAPI(TestAPIBase): @@ -89,6 +89,25 @@ def test_predict_output_types_match_config(self): for i in range(len(model_io["output"])): self.assertEqual(model_io["output"][i]["type"], result["output"][i]["type"]) +# test cases for nultiple inputs +class TestModelHUBAPIMultiInput(unittest.TestCase): + def setUp(self): + model = ModelNeedsTwoInputs() + self.this_dir = os.path.dirname(os.path.realpath(__file__)) + contrib_src_dir = os.path.join(self.this_dir, "mockmodels", "contrib_src_mi") + self.api = ModelHubAPI(model, contrib_src_dir) + + def tearDown(self): + pass + + def test_predict_accepts_and_processes_valid_json(self): + result = self.api.predict(self.this_dir + "/mockmodels/contrib_src_mi/sample_data/valid_input_list.json") + self.assertEquals(result, True) + + def test_predict_rejects_invalid_file(self): + result = self.api.predict(self.this_dir + "/mockmodels/contrib_src_si/sample_data/testimage_ramp_4x2.png") + self.assertIn("error", result) + class TestModelHubAPIModelReturnsOneNumpyArray(unittest.TestCase): diff --git a/framework/modelhublib/processor.py b/framework/modelhublib/processor.py index 7a845ea..cddbc88 100644 --- a/framework/modelhublib/processor.py +++ b/framework/modelhublib/processor.py @@ -6,7 +6,7 @@ class ImageProcessorBase(object): """ - Abstract base class for image pre- and postprocessing, thus handeling all data + Abstract base class for image pre- and postprocessing, thus handeling all data processing before and after the inference. Several methods of this class have to be implemented in a contributed model. @@ -32,7 +32,7 @@ class ImageProcessorBase(object): Args: config (dict): Model configuration (loaded from model's config.json) """ - + def __init__(self, config): self._config = config self._imageLoader = PilImageLoader(self._config) @@ -44,17 +44,17 @@ def __init__(self, config): def loadAndPreprocess(self, input): """ - Loads input, preprocesses it and returns a numpy array appropriate to feed + Loads input, preprocesses it and returns a numpy array appropriate to feed into the inference model (4 dimensions: [batchsize, z/color, height, width]). - There should be no need to overwrite this method in a derived class! + There should be no need to overwrite this method in a derived class! Rather overwrite the individual preprocessing steps used by this method! Args: input (str): Name of the input file to be loaded Returns: - numpy array appropriate to feed into the inference model + numpy array appropriate to feed into the inference model (4 dimensions: [batchsize, z/color, height, width]) """ image = self._load(input) @@ -66,49 +66,49 @@ def loadAndPreprocess(self, input): def computeOutput(self, inferenceResults): """ - Abstract method. Overwrite this method to define how to postprocess - the inference results computed by the model into a proper output as + Abstract method. Overwrite this method to define how to postprocess + the inference results computed by the model into a proper output as defined in the model configuration file. Args: inferenceResults: Results of the inference as computed by the model. - + Returns: - Converted inference results into format as defined in the model configuration. + Converted inference results into format as defined in the model configuration. """ raise NotImplementedError("This is a method of an abstract class.") - + def _load(self, input): """ Performs the actual loading of the image. There should be no need to overwrite this method in a derived class! - Rather implement an additional + Rather implement an additional :class:`~modelhublib.imageloaders.imageLoader.ImageLoader` to support further image formats. See also documentation of :class:`~ImageProcessorBase` above. - + Args: input (str): Name of the input file to be loaded Returns: - Image object which type will be the native image object type of - the library/handler used for loading (default implementation uses PIL or SimpleITK). + Image object which type will be the native image object type of + the library/handler used for loading (default implementation uses PIL or SimpleITK). Hence it might not always be the same. """ image = self._imageLoader.load(input) return image - + def _preprocessBeforeConversionToNumpy(self, image): """ Perform preprocessing on the loaded image object (see :func:`~modelhublib.processor.ImageProcessorBase._load`). - + Overwrite this to implement image preprocessing using the loaded image object. If not overwritten, just returns the image object unchanged. - When overwriting this, make sure to handle the possible types appropriately + When overwriting this, make sure to handle the possible types appropriately and throw an IOException if you cannot preprocess a certain type. Args: @@ -118,17 +118,17 @@ def _preprocessBeforeConversionToNumpy(self, image): Image object which must be of the same type as input image object. """ return image - + def _convertToNumpy(self, image): """ - Converts the image object into a corresponding numpy array + Converts the image object into a corresponding numpy array with 4 dimensions: [batchsize, z/color, height, width]. There should be no need to overwrite this method in a derived class! - Rather implement an additional + Rather implement an additional :class:`~modelhublib.imageconverters.imageConverter.ImageConverter` to support - further image format conversions. See also documentation of + further image format conversions. See also documentation of :class:`~ImageProcessorBase` above. Args: @@ -139,7 +139,7 @@ def _convertToNumpy(self, image): """ npArr = self._imageToNumpyConverter.convert(image) return npArr - + def _preprocessAfterConversionToNumpy(self, npArr): """ @@ -155,5 +155,3 @@ def _preprocessAfterConversionToNumpy(self, npArr): Preprocessed numpy array with 4 dimensions [batchsize, z/color, height, width]. """ return npArr - - From 4ee0a1145e0108029599f8a30cb760589151e6f0 Mon Sep 17 00:00:00 2001 From: Christoph Berger Date: Fri, 23 Aug 2019 15:13:50 -0400 Subject: [PATCH 02/17] adds json parsing for multiple inputs --- framework/modelhubapi/pythonapi.py | 11 ++- framework/modelhubapi_tests/apitestbase.py | 10 +-- .../mockmodels/contrib_src_mi/inference.py | 3 +- .../contrib_src_mi/model/config.json | 76 +++++++++++++---- .../sample_data/valid_input_list.json | 8 ++ .../contrib_src_si/model/config.json | 31 +++---- framework/modelhubapi_tests/pythonapi_test.py | 3 +- .../modelhublib/imageloaders/imageLoader.py | 27 ++++--- framework/modelhublib/processor.py | 12 +-- .../pilToNumpyConverter_test.py | 5 +- .../imageloaders_tests/multiInput_test.py | 81 +++++++++++++++++++ .../imageloaders_tests/pilImageLoader_test.py | 3 +- .../sitkImageLoader_test.py | 9 +-- framework/modelhublib_tests/processor_test.py | 17 ++-- .../testdata/input_files_same_dim.json | 10 +++ .../testdata/test_config.json | 19 +++-- .../testdata/test_config_mi.json | 29 +++++++ 17 files changed, 272 insertions(+), 82 deletions(-) create mode 100644 framework/modelhublib_tests/imageloaders_tests/multiInput_test.py create mode 100644 framework/modelhublib_tests/testdata/input_files_same_dim.json create mode 100644 framework/modelhublib_tests/testdata/test_config_mi.json diff --git a/framework/modelhubapi/pythonapi.py b/framework/modelhubapi/pythonapi.py index 4f98f14..cd417b0 100644 --- a/framework/modelhubapi/pythonapi.py +++ b/framework/modelhubapi/pythonapi.py @@ -108,7 +108,8 @@ def predict(self, input_file_path, numpyToFile=True, url_root=""): try: config = self.get_config() start = time.time() - output = self.model.infer(input_file_path) + input = self._unpack_inputs(input_file_path) + output = self.model.infer(input) output = self._correct_output_list_wrapping(output, config) end = time.time() output_list = [] @@ -140,6 +141,14 @@ def predict(self, input_file_path, numpyToFile=True, url_root=""): # ------------------------------------------------------------------------- # Private helper functions # ------------------------------------------------------------------------- + + def _unpack_inputs(self, file_path): + if file_path.lower().endswith('.json'): + return self._load_json(file_path) + else: + return file_path + + def _load_txt_as_dict(self, file_path, return_key): try: with io.open(file_path, mode='r', encoding='utf-8') as f: diff --git a/framework/modelhubapi_tests/apitestbase.py b/framework/modelhubapi_tests/apitestbase.py index 67d73c7..98b6c1f 100644 --- a/framework/modelhubapi_tests/apitestbase.py +++ b/framework/modelhubapi_tests/apitestbase.py @@ -44,11 +44,11 @@ def assert_legal_contains_expected_mock_values(self, legal): def assert_model_io_contains_expected_mock_values(self, model_io): - self.assertListEqual(["image/png"], model_io["input"]["format"]) - self.assertEqual(1, model_io["input"]["dim_limits"][0]["min"]) - self.assertEqual(4, model_io["input"]["dim_limits"][0]["max"]) - self.assertEqual(1, model_io["input"]["dim_limits"][1]["min"]) - self.assertEqual(1, model_io["input"]["dim_limits"][2]["min"]) + self.assertListEqual(["image/png"], model_io["input"]["single"]["format"]) + self.assertEqual(1, model_io["input"]["single"]["dim_limits"][0]["min"]) + self.assertEqual(4, model_io["input"]["single"]["dim_limits"][0]["max"]) + self.assertEqual(1, model_io["input"]["single"]["dim_limits"][1]["min"]) + self.assertEqual(1, model_io["input"]["single"]["dim_limits"][2]["min"]) self.assertEqual("probabilities", model_io["output"][0]["name"]) self.assertEqual("label_list", model_io["output"][0]["type"]) self.assertEqual("mask", model_io["output"][1]["name"]) diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/inference.py b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/inference.py index b680ea3..8d2bd40 100644 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/inference.py +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/inference.py @@ -13,7 +13,6 @@ import numpy as np from modelhublib.model import ModelBase - class Model(ModelBase): def __init__(self): @@ -28,7 +27,7 @@ def _init_(self): def infer(self, input): if isinstance(input, dict): - return True + return [True] else: raise IOError("Passed file" + input + "is no dictionary!") diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config.json index d02ad09..8a9f25a 100644 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config.json +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config.json @@ -31,20 +31,68 @@ "architecture": "Empty", "learning_type": "None", "io": { - "input": { - "format": ["image/png"], - "dim_limits": [ - { - "min": 1, - "max": 4 - }, - { - "min": 1 - }, - { - "min": 1 - } - ] + "input":{ + "format":["image/png", "application/json", "image/jpg"], + "img1":{ + "format": ["image/png"], + "dim_limits": [ + { + "min": 1, + "max": 4 + }, + { + "min": 1 + }, + { + "min": 1 + } + ] + }, + "img2":{ + "format": ["image/jpg"], + "dim_limits": [ + { + "min": 1, + "max": 4 + }, + { + "min": 1 + }, + { + "min": 1 + } + ] + }, + "t2":{ + "format": ["image/png"], + "dim_limits": [ + { + "min": 1, + "max": 4 + }, + { + "min": 1 + }, + { + "min": 1 + } + ] + }, + "flair":{ + "format": ["image/png"], + "dim_limits": [ + { + "min": 1, + "max": 4 + }, + { + "min": 1 + }, + { + "min": 1 + } + ] + } }, "output": [ { diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json index 64b9535..d226d0d 100644 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json @@ -6,5 +6,13 @@ "flair":{ "type": "nii.gz", "fileurl": "http://anythingontheweb.url/dogbrain.nii.gz" + }, + "img1":{ + "type":"[image/png]", + "fileurl": "/Users/christoph/Documents/Uni/HiWi/DFCI/modelhub/modelhub-engine/framework/modelhubapi_tests/mockmodels/contrib_src_si/sample_data/testimage_ramp_4x2.png" + }, + "img2":{ + "type":"[image/jpg]", + "fileurl": "/Users/christoph/Documents/Uni/HiWi/DFCI/modelhub/modelhub-engine/framework/modelhubapi_tests/mockmodels/contrib_src_si/sample_data/testimage_ramp_4x2.jpg" } } diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_si/model/config.json b/framework/modelhubapi_tests/mockmodels/contrib_src_si/model/config.json index 8365953..dcca7ee 100644 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_si/model/config.json +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_si/model/config.json @@ -31,20 +31,23 @@ "architecture": "Empty", "learning_type": "None", "io": { - "input": { - "format": ["image/png"], - "dim_limits": [ - { - "min": 1, - "max": 4 - }, - { - "min": 1 - }, - { - "min": 1 - } - ] + "input":{ + "format":["image/png", "application/json", "image/jpg"], + "single":{ + "format": ["image/png"], + "dim_limits": [ + { + "min": 1, + "max": 4 + }, + { + "min": 1 + }, + { + "min": 1 + } + ] + } }, "output": [ { diff --git a/framework/modelhubapi_tests/pythonapi_test.py b/framework/modelhubapi_tests/pythonapi_test.py index 0be1759..5acfae2 100644 --- a/framework/modelhubapi_tests/pythonapi_test.py +++ b/framework/modelhubapi_tests/pythonapi_test.py @@ -102,14 +102,13 @@ def tearDown(self): def test_predict_accepts_and_processes_valid_json(self): result = self.api.predict(self.this_dir + "/mockmodels/contrib_src_mi/sample_data/valid_input_list.json") - self.assertEquals(result, True) + self.assertEquals(result["output"][0]["prediction"][0], True) def test_predict_rejects_invalid_file(self): result = self.api.predict(self.this_dir + "/mockmodels/contrib_src_si/sample_data/testimage_ramp_4x2.png") self.assertIn("error", result) - class TestModelHubAPIModelReturnsOneNumpyArray(unittest.TestCase): def setUp(self): diff --git a/framework/modelhublib/imageloaders/imageLoader.py b/framework/modelhublib/imageloaders/imageLoader.py index 5ebb1d3..d3e8405 100644 --- a/framework/modelhublib/imageloaders/imageLoader.py +++ b/framework/modelhublib/imageloaders/imageLoader.py @@ -4,9 +4,9 @@ class ImageLoader(object): """ Abstract base class for image loaders, following chain of responsibility design pattern. - For each image loader you should implement a corresponding image converter using + For each image loader you should implement a corresponding image converter using :class:`~modelhublib.imageconverters.imageConverter.ImageConverter` as base class. - + Args: sucessor (ImageLoader): Next loader in chain to attempt loading the image if this one fails. """ @@ -25,7 +25,7 @@ def setSuccessor(self, successor): self._successor = successor - def load(self, input): + def load(self, input, id=None): """ Tries to load input and on fail forwards load request to next handler until success or final fail. @@ -36,10 +36,10 @@ def load(self, input): Args: input (str): Name of the input file to be loaded. - + Returns: Image object as loaded by :func:`~_load` or a successor load handler. - + Raises: IOError if input could not be loaded by any load handler in the chain. """ @@ -53,7 +53,7 @@ def load(self, input): raise IOError("Was not able to load the file \"%s\"." % input) else: raise IOError("Was not able to load input of type \"%s\"." % type(input).__name__) - self._checkConfigCompliance(image) + self._checkConfigCompliance(image, id) return image @@ -66,29 +66,32 @@ def _load(self, input): Args: input (str): Name of the input file to be loaded. - + Returns: Should return image object in the native format of the library using to load it. """ raise NotImplementedError("This is a method of an abstract class.") - def _checkConfigCompliance(self, image): + def _checkConfigCompliance(self, image, id=None): """ Checks if image complies with configuration. There should be no need to overwrite this. Overwrite only - :func:`~_getImageDimensions` + :func:`~_getImageDimensions` to supply the image dims to check against config. Args: image: Image object as loaded by :func:`~_load` - + Raises: IOError if image dimensions do not comply with configuration. """ imageDims = self._getImageDimensions(image) - limits = self._config["model"]["io"]["input"]["dim_limits"] + if id is None: + limits = self._config["model"]["io"]["input"]["single"]["dim_limits"] + else: + limits = self._config["model"]["io"]["input"][id]["dim_limits"] for i in range(3): if ((("min" in limits[i]) and (limits[i]["min"] > imageDims[i])) or (("max" in limits[i]) and (limits[i]["max"] < imageDims[i]))): @@ -105,7 +108,7 @@ def _getImageDimensions(self, image): Args: image: Image object as loaded by :func:`~modelhublib.imageloaders.imageLoader.ImageLoader._load` - + Returns: Should return image dimensions of the image object. """ diff --git a/framework/modelhublib/processor.py b/framework/modelhublib/processor.py index cddbc88..1f0a8b3 100644 --- a/framework/modelhublib/processor.py +++ b/framework/modelhublib/processor.py @@ -42,7 +42,7 @@ def __init__(self, config): self._imageToNumpyConverter.setSuccessor(SitkToNumpyConverter()) self._imageToNumpyConverter._successor.setSuccessor(NumpyToNumpyConverter()) - def loadAndPreprocess(self, input): + def loadAndPreprocess(self, input, id=None): """ Loads input, preprocesses it and returns a numpy array appropriate to feed into the inference model (4 dimensions: [batchsize, z/color, height, width]). @@ -52,12 +52,13 @@ def loadAndPreprocess(self, input): Args: input (str): Name of the input file to be loaded + id (str or None): ID of the input when handling multiple inputs Returns: numpy array appropriate to feed into the inference model (4 dimensions: [batchsize, z/color, height, width]) """ - image = self._load(input) + image = self._load(input, id=id) image = self._preprocessBeforeConversionToNumpy(image) npArr = self._convertToNumpy(image) npArr = self._preprocessAfterConversionToNumpy(npArr) @@ -79,7 +80,7 @@ def computeOutput(self, inferenceResults): raise NotImplementedError("This is a method of an abstract class.") - def _load(self, input): + def _load(self, input, id=None): """ Performs the actual loading of the image. @@ -91,13 +92,14 @@ def _load(self, input): Args: input (str): Name of the input file to be loaded - + id (str or None): ID of the input when handling multiple inputs + Returns: Image object which type will be the native image object type of the library/handler used for loading (default implementation uses PIL or SimpleITK). Hence it might not always be the same. """ - image = self._imageLoader.load(input) + image = self._imageLoader.load(input, id=id) return image diff --git a/framework/modelhublib_tests/imageconverters_tests/pilToNumpyConverter_test.py b/framework/modelhublib_tests/imageconverters_tests/pilToNumpyConverter_test.py index cf306b8..12f4982 100644 --- a/framework/modelhublib_tests/imageconverters_tests/pilToNumpyConverter_test.py +++ b/framework/modelhublib_tests/imageconverters_tests/pilToNumpyConverter_test.py @@ -13,7 +13,7 @@ def setUp(self): def tearDown(self): pass - + def test_convert_success_on_PILImageL(self): image = PIL.Image.new("L", (64, 32)) npArr = self.imageConverter.convert(image) @@ -25,7 +25,7 @@ def test_convert_success_on_PILImageRGB(self): npArr = self.imageConverter.convert(image) self.assertEqual(4, npArr.ndim) self.assertTupleEqual((1, 3, 32, 64), npArr.shape) - + def test_convert_fails_on_numpy_as_input(self): image = np.array([[1, 2], [3, 4]]) self.assertRaises(IOError, self.imageConverter.convert, image) @@ -34,4 +34,3 @@ def test_convert_fails_on_numpy_as_input(self): if __name__ == '__main__': unittest.main() - diff --git a/framework/modelhublib_tests/imageloaders_tests/multiInput_test.py b/framework/modelhublib_tests/imageloaders_tests/multiInput_test.py new file mode 100644 index 0000000..4aa6396 --- /dev/null +++ b/framework/modelhublib_tests/imageloaders_tests/multiInput_test.py @@ -0,0 +1,81 @@ +import unittest +import os +import PIL +import json + +from modelhublib.imageloaders import PilImageLoader, SitkImageLoader, NumpyImageLoader + +class TestMultiImageLoaderPIL(unittest.TestCase): + + def setUp(self): + self.testDataDir = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "testdata")) + with open(os.path.join(self.testDataDir, "test_config_mi.json")) as jsonFile: + self.config = json.load(jsonFile) + self.imageLoader = PilImageLoader(self.config) + + def tearDown(self): + pass + + def test_load_testimage_ramp_4x2(self): + imgFileName = os.path.join(self.testDataDir, "testimage_ramp_4x2.png") + image = self.imageLoader.load(imgFileName, id='name') + self.assertTupleEqual((4,2), image.size) + + def test_load_testimage_ramp_4x2_fails_on_config_noncompliance(self): + imgFileName = os.path.join(self.testDataDir, "testimage_ramp_4x2.png") + self.config["model"]["io"]["input"]["name"]["dim_limits"][2]["min"] = 5 + self.assertRaises(IOError, self.imageLoader.load, imgFileName, id='name') + + def test_getImageDimensions_returns_correct_dims(self): + imgFileName = os.path.join(self.testDataDir, "testimage_ramp_4x2.png") + image = self.imageLoader.load(imgFileName, id='name') + dims = self.imageLoader._getImageDimensions(image) + self.assertListEqual([1,2,4], dims) + +class TestMultiImageLoaderSITK(unittest.TestCase): + + def setUp(self): + self.testDataDir = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "testdata")) + with open(os.path.join(self.testDataDir, "test_config_mi.json")) as jsonFile: + self.config = json.load(jsonFile) + self.imageLoader = SitkImageLoader(self.config) + + def tearDown(self): + pass + + def test_load_testimage_checkers_64x32(self): + imgFileName = os.path.join(self.testDataDir, "testimage_checkers_64x32.nrrd") + image = self.imageLoader.load(imgFileName, id='name') + self.assertTupleEqual((64,32), image.GetSize()) + + def test_load_testimage_checkers_64x32_fails_on_config_noncompliance(self): + imgFileName = os.path.join(self.testDataDir, "testimage_checkers_64x32.nrrd") + self.config["model"]["io"]["input"]["name"]["dim_limits"][0]["min"] = 1 + self.config["model"]["io"]["input"]["name"]["dim_limits"][2]["max"] = 1 + self.assertRaises(IOError, self.imageLoader.load, imgFileName, id='name') + + def test_getImageDimensions_returns_correct_dims(self): + imgFileName = os.path.join(self.testDataDir, "testimage_checkers_64x32.nrrd") + image = self.imageLoader.load(imgFileName, id='name') + dims = self.imageLoader._getImageDimensions(image) + self.assertListEqual([1,32,64], dims) + +class TestMultiImageLoaderNumpy(unittest.TestCase): + + def setUp(self): + self.testDataDir = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "testdata")) + with open(os.path.join(self.testDataDir, "test_config_mi.json")) as jsonFile: + self.config = json.load(jsonFile) + self.imageLoader = NumpyImageLoader(self.config) + + def tearDown(self): + pass + + def test_load_numpy_array(self): + arrayFileName = os.path.join(self.testDataDir, "test_numpy_3x4x4.npy") + image = self.imageLoader.load(arrayFileName, id='name') + self.assertTupleEqual((3,4,4), image.shape) + + +if __name__ == '__main__': + unittest.main() diff --git a/framework/modelhublib_tests/imageloaders_tests/pilImageLoader_test.py b/framework/modelhublib_tests/imageloaders_tests/pilImageLoader_test.py index 1babf84..a77e33c 100644 --- a/framework/modelhublib_tests/imageloaders_tests/pilImageLoader_test.py +++ b/framework/modelhublib_tests/imageloaders_tests/pilImageLoader_test.py @@ -23,7 +23,7 @@ def test_load_testimage_ramp_4x2(self): def test_load_testimage_ramp_4x2_fails_on_config_noncompliance(self): imgFileName = os.path.join(self.testDataDir, "testimage_ramp_4x2.png") - self.config["model"]["io"]["input"]["dim_limits"][2]["min"] = 5 + self.config["model"]["io"]["input"]["single"]["dim_limits"][2]["min"] = 5 self.assertRaises(IOError, self.imageLoader.load, imgFileName) def test_getImageDimensions_returns_correct_dims(self): @@ -36,4 +36,3 @@ def test_getImageDimensions_returns_correct_dims(self): if __name__ == '__main__': unittest.main() - diff --git a/framework/modelhublib_tests/imageloaders_tests/sitkImageLoader_test.py b/framework/modelhublib_tests/imageloaders_tests/sitkImageLoader_test.py index ea16b20..6bc62f2 100644 --- a/framework/modelhublib_tests/imageloaders_tests/sitkImageLoader_test.py +++ b/framework/modelhublib_tests/imageloaders_tests/sitkImageLoader_test.py @@ -23,18 +23,17 @@ def test_load_testimage_checkers_64x32(self): def test_load_testimage_checkers_64x32_fails_on_config_noncompliance(self): imgFileName = os.path.join(self.testDataDir, "testimage_checkers_64x32.nrrd") - self.config["model"]["io"]["input"]["dim_limits"][0]["min"] = 1 - self.config["model"]["io"]["input"]["dim_limits"][2]["max"] = 1 + self.config["model"]["io"]["input"]["single"]["dim_limits"][0]["min"] = 1 + self.config["model"]["io"]["input"]["single"]["dim_limits"][2]["max"] = 1 self.assertRaises(IOError, self.imageLoader.load, imgFileName) - + def test_getImageDimensions_returns_correct_dims(self): imgFileName = os.path.join(self.testDataDir, "testimage_checkers_64x32.nrrd") image = self.imageLoader.load(imgFileName) dims = self.imageLoader._getImageDimensions(image) self.assertListEqual([1,32,64], dims) - + if __name__ == '__main__': unittest.main() - diff --git a/framework/modelhublib_tests/processor_test.py b/framework/modelhublib_tests/processor_test.py index b67c7c2..3b9afc2 100644 --- a/framework/modelhublib_tests/processor_test.py +++ b/framework/modelhublib_tests/processor_test.py @@ -9,19 +9,19 @@ # The MetaTestImageProcessorBase meta class is used to generate tests # that have the same test logic but run over different file types. Using # this metaclass allows us to simply add new file types for test images -# and generate the same tests for them, as for the existing file types, +# and generate the same tests for them, as for the existing file types, # by simply by adding the file extension to the testFileExtensions list. testFileExtensions = ["png", "nrrd"] class MetaTestImageProcessorBase(type): - + def __new__(mcs, name, bases, dictionary): def gen_test_load_testimage_ramp_4x2_under_strict_config_dims(fileExt): def test(self): imgFileName = os.path.join(self.testDataDir, "testimage_ramp_4x2." + fileExt) - self.config["model"]["io"]["input"]["dim_limits"][1]["min"] = 2 - self.config["model"]["io"]["input"]["dim_limits"][1]["max"] = 2 - self.config["model"]["io"]["input"]["dim_limits"][2]["min"] = 4 - self.config["model"]["io"]["input"]["dim_limits"][2]["max"] = 4 + self.config["model"]["io"]["input"]["single"]["dim_limits"][1]["min"] = 2 + self.config["model"]["io"]["input"]["single"]["dim_limits"][1]["max"] = 2 + self.config["model"]["io"]["input"]["single"]["dim_limits"][2]["min"] = 4 + self.config["model"]["io"]["input"]["single"]["dim_limits"][2]["max"] = 4 npArr = self.processor.loadAndPreprocess(imgFileName) self.assertListEqual([[[[50.0,100.0,150.0,200.0],[50.0,100.0,150.0,200.0]]]], npArr.tolist()) return test @@ -29,7 +29,7 @@ def test(self): def gen_test_load_testimage_ramp_4x2_fails_on_config_noncompliance(fileExt): def test(self): imgFileName = os.path.join(self.testDataDir, "testimage_ramp_4x2." + fileExt) - self.config["model"]["io"]["input"]["dim_limits"][1]["min"] = 3 + self.config["model"]["io"]["input"]["single"]["dim_limits"][1]["min"] = 3 self.assertRaises(IOError, self.processor.loadAndPreprocess, imgFileName) return test @@ -38,7 +38,7 @@ def test(self): dictionary[testName] = gen_test_load_testimage_ramp_4x2_under_strict_config_dims(fileExt) testName = "test_load_testimage_ramp_4x2_%s_fails_on_config_noncompliance" % fileExt dictionary[testName] = gen_test_load_testimage_ramp_4x2_fails_on_config_noncompliance(fileExt) - + return type.__new__(mcs, name, bases, dictionary) @six.add_metaclass(MetaTestImageProcessorBase) @@ -60,4 +60,3 @@ def test_computeOutput_is_abstract(self): if __name__ == '__main__': unittest.main() - diff --git a/framework/modelhublib_tests/testdata/input_files_same_dim.json b/framework/modelhublib_tests/testdata/input_files_same_dim.json new file mode 100644 index 0000000..3c266d1 --- /dev/null +++ b/framework/modelhublib_tests/testdata/input_files_same_dim.json @@ -0,0 +1,10 @@ +{ + "img1":{ + "type":"[image/png]", + "fileurl": "testdata/testimage_ramp_4x2.png" + }, + "img2":{ + "type":"[image/png]", + "fileurl": "testdata/testimage_ramp_4x2.png" + } +} diff --git a/framework/modelhublib_tests/testdata/test_config.json b/framework/modelhublib_tests/testdata/test_config.json index 0a711de..879ae96 100644 --- a/framework/modelhublib_tests/testdata/test_config.json +++ b/framework/modelhublib_tests/testdata/test_config.json @@ -2,14 +2,17 @@ "model": { "io": { "input": { - "dim_limits": [ - { - }, - { - }, - { - } - ] + "format":["image/png", "application/json", "image/jpg"], + "single":{ + "dim_limits": [ + { + }, + { + }, + { + } + ] + } } } } diff --git a/framework/modelhublib_tests/testdata/test_config_mi.json b/framework/modelhublib_tests/testdata/test_config_mi.json new file mode 100644 index 0000000..65b3f8a --- /dev/null +++ b/framework/modelhublib_tests/testdata/test_config_mi.json @@ -0,0 +1,29 @@ +{ + "model": { + "io": { + "input": { + "format":["image/png", "application/json", "image/jpg"], + "name":{ + "dim_limits": [ + { + }, + { + }, + { + } + ] + }, + "name2":{ + "dim_limits": [ + { + }, + { + }, + { + } + ] + } + } + } + } + } From 3e95dd1dce7564bba191db850d7acdc89d93bc78 Mon Sep 17 00:00:00 2001 From: Christoph Berger Date: Thu, 29 Aug 2019 10:56:22 -0400 Subject: [PATCH 03/17] adds multiple tests and improvements for multi input scenarios --- .gitignore | 1 + framework/modelhubapi/pythonapi.py | 12 +++++++++- .../contrib_src_mi/model/config.json | 6 ++--- .../sample_data/valid_input_list.json | 9 ++++---- framework/modelhubapi_tests/pythonapi_test.py | 2 +- .../modelhublib/imageloaders/imageLoader.py | 2 +- .../imageloaders/pilImageLoader.py | 5 +++-- framework/modelhublib/processor.py | 2 +- .../sitkImageLoader_test.py | 21 ++++++++++++++++++ .../testdata/input_files_same_dim.json | 4 ++-- .../testdata/testimage_dicom_256x256.dcm | Bin 0 -> 98954 bytes .../testdata/testimage_nifti_91x109x91.nii.gz | Bin 0 -> 531671 bytes 12 files changed, 49 insertions(+), 15 deletions(-) create mode 100644 framework/modelhublib_tests/testdata/testimage_dicom_256x256.dcm create mode 100644 framework/modelhublib_tests/testdata/testimage_nifti_91x109x91.nii.gz diff --git a/.gitignore b/.gitignore index a9e9ae0..f2152f8 100644 --- a/.gitignore +++ b/.gitignore @@ -9,3 +9,4 @@ .vscode *.code-workspace /framework/htmlcov/ +keras-modelhub:1.0.3 diff --git a/framework/modelhubapi/pythonapi.py b/framework/modelhubapi/pythonapi.py index cd417b0..57c745f 100644 --- a/framework/modelhubapi/pythonapi.py +++ b/framework/modelhubapi/pythonapi.py @@ -144,11 +144,21 @@ def predict(self, input_file_path, numpyToFile=True, url_root=""): def _unpack_inputs(self, file_path): if file_path.lower().endswith('.json'): - return self._load_json(file_path) + input_dict = self._load_json(file_path) + return self._check_input_compliance(input_dict) else: return file_path + def _check_input_compliance(self, input_dict): + config = self.get_config()["model"]["io"]["input"] + for key in config.keys(): + if key not in input_dict: + raise IOError("The input json does not match the input schema in the " \ + "configuration file") + return input_dict + + def _load_txt_as_dict(self, file_path, return_key): try: with io.open(file_path, mode='r', encoding='utf-8') as f: diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config.json index 8a9f25a..05808d8 100644 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config.json +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config.json @@ -33,7 +33,7 @@ "io": { "input":{ "format":["image/png", "application/json", "image/jpg"], - "img1":{ + "t1":{ "format": ["image/png"], "dim_limits": [ { @@ -48,7 +48,7 @@ } ] }, - "img2":{ + "img1":{ "format": ["image/jpg"], "dim_limits": [ { @@ -63,7 +63,7 @@ } ] }, - "t2":{ + "img2":{ "format": ["image/png"], "dim_limits": [ { diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json index d226d0d..a9edb99 100644 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json @@ -1,18 +1,19 @@ { + "format":["application/json"], "t1":{ - "type": "nii.gz", + "type": "[application/gzip]", "fileurl": "this/path/here" }, "flair":{ - "type": "nii.gz", + "type": "[application/gzip]", "fileurl": "http://anythingontheweb.url/dogbrain.nii.gz" }, "img1":{ "type":"[image/png]", - "fileurl": "/Users/christoph/Documents/Uni/HiWi/DFCI/modelhub/modelhub-engine/framework/modelhubapi_tests/mockmodels/contrib_src_si/sample_data/testimage_ramp_4x2.png" + "fileurl": "/sample_data/testimage_ramp_4x2.png" }, "img2":{ "type":"[image/jpg]", - "fileurl": "/Users/christoph/Documents/Uni/HiWi/DFCI/modelhub/modelhub-engine/framework/modelhubapi_tests/mockmodels/contrib_src_si/sample_data/testimage_ramp_4x2.jpg" + "fileurl": "/sample_data/testimage_ramp_4x2.jpg" } } diff --git a/framework/modelhubapi_tests/pythonapi_test.py b/framework/modelhubapi_tests/pythonapi_test.py index 5acfae2..3d1b7cf 100644 --- a/framework/modelhubapi_tests/pythonapi_test.py +++ b/framework/modelhubapi_tests/pythonapi_test.py @@ -102,7 +102,7 @@ def tearDown(self): def test_predict_accepts_and_processes_valid_json(self): result = self.api.predict(self.this_dir + "/mockmodels/contrib_src_mi/sample_data/valid_input_list.json") - self.assertEquals(result["output"][0]["prediction"][0], True) + self.assertEqual(result["output"][0]["prediction"][0], True) def test_predict_rejects_invalid_file(self): result = self.api.predict(self.this_dir + "/mockmodels/contrib_src_si/sample_data/testimage_ramp_4x2.png") diff --git a/framework/modelhublib/imageloaders/imageLoader.py b/framework/modelhublib/imageloaders/imageLoader.py index d3e8405..490f2a4 100644 --- a/framework/modelhublib/imageloaders/imageLoader.py +++ b/framework/modelhublib/imageloaders/imageLoader.py @@ -47,7 +47,7 @@ def load(self, input, id=None): image = self._load(input) except: if self._successor: - return self._successor.load(input) + return self._successor.load(input, id=id) else: if isinstance(input, six.string_types): raise IOError("Was not able to load the file \"%s\"." % input) diff --git a/framework/modelhublib/imageloaders/pilImageLoader.py b/framework/modelhublib/imageloaders/pilImageLoader.py index 141bb4e..3802d13 100644 --- a/framework/modelhublib/imageloaders/pilImageLoader.py +++ b/framework/modelhublib/imageloaders/pilImageLoader.py @@ -1,3 +1,4 @@ + from PIL import Image from .imageLoader import ImageLoader @@ -7,14 +8,14 @@ class PilImageLoader(ImageLoader): """ Loads common 2d image formats (png, jpg, ...) using Pillow (PIL). """ - + def _load(self, input): """ Loads input using PIL. Args: input (str): Name of the input file to be loaded - + Returns: PIL.Image object """ diff --git a/framework/modelhublib/processor.py b/framework/modelhublib/processor.py index 1f0a8b3..46af7a5 100644 --- a/framework/modelhublib/processor.py +++ b/framework/modelhublib/processor.py @@ -93,7 +93,7 @@ def _load(self, input, id=None): Args: input (str): Name of the input file to be loaded id (str or None): ID of the input when handling multiple inputs - + Returns: Image object which type will be the native image object type of the library/handler used for loading (default implementation uses PIL or SimpleITK). diff --git a/framework/modelhublib_tests/imageloaders_tests/sitkImageLoader_test.py b/framework/modelhublib_tests/imageloaders_tests/sitkImageLoader_test.py index 6bc62f2..88da7d9 100644 --- a/framework/modelhublib_tests/imageloaders_tests/sitkImageLoader_test.py +++ b/framework/modelhublib_tests/imageloaders_tests/sitkImageLoader_test.py @@ -33,6 +33,27 @@ def test_getImageDimensions_returns_correct_dims(self): dims = self.imageLoader._getImageDimensions(image) self.assertListEqual([1,32,64], dims) + def test_load_testimage_nifti_91x109x91(self): + imgFileName = os.path.join(self.testDataDir, "testimage_nifti_91x109x91.nii.gz") + image = self.imageLoader.load(imgFileName) + self.assertTupleEqual((91,109,91), image.GetSize()) + + def test_getImageDims_returns_correct_dims_for_nifti(self): + imgFileName = os.path.join(self.testDataDir, "testimage_nifti_91x109x91.nii.gz") + image = self.imageLoader.load(imgFileName) + dims = self.imageLoader._getImageDimensions(image) + self.assertListEqual([91,109,91], dims) + + def test_load_testimage_dicom_256x256(self): + imgFileName = os.path.join(self.testDataDir, "testimage_dicom_256x256.dcm") + image = self.imageLoader.load(imgFileName) + self.assertTupleEqual((256,256,1), image.GetSize()) + + def test_getImageDims_returns_correct_dims_for_dicom(self): + imgFileName = os.path.join(self.testDataDir, "testimage_dicom_256x256.dcm") + image = self.imageLoader.load(imgFileName) + dims = self.imageLoader._getImageDimensions(image) + self.assertListEqual([1,256,256], dims) if __name__ == '__main__': diff --git a/framework/modelhublib_tests/testdata/input_files_same_dim.json b/framework/modelhublib_tests/testdata/input_files_same_dim.json index 3c266d1..e3ca8d8 100644 --- a/framework/modelhublib_tests/testdata/input_files_same_dim.json +++ b/framework/modelhublib_tests/testdata/input_files_same_dim.json @@ -1,9 +1,9 @@ { - "img1":{ + "name":{ "type":"[image/png]", "fileurl": "testdata/testimage_ramp_4x2.png" }, - "img2":{ + "name2":{ "type":"[image/png]", "fileurl": "testdata/testimage_ramp_4x2.png" } diff --git a/framework/modelhublib_tests/testdata/testimage_dicom_256x256.dcm b/framework/modelhublib_tests/testdata/testimage_dicom_256x256.dcm new file mode 100644 index 0000000000000000000000000000000000000000..2b7423ff1543560add38379446785008806725f4 GIT binary patch literal 98954 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zAnpk^fbPH@eL`B6qP${0)MMALWT3QJF)rN{3&t!;tFIRq(dth7>rTDhhg=+XF*<}v z!5yiKm9)n>LB!7)_@#_+^-T+2M)+fb%AS%5r}eK5_hk4U(vH$yOV2XBY8UvLOLu+# z&P0*#iH`GPcArRQjS$9Ba(s=bw6Sb8I7uABPDsVb-8z22n&ir@D}CPjb1mgQ&t<6)~T#v^z*UwOSsxT#m2FQP9#<$T)o( zq;No5OLnN>YZzJs4)Of`tF(2AY9VE=v2}cn>zl@B;(m;}K3aE?*3uTHX0>{~aM?t2 zyXS7v2!TtQAuUEA)#4yKmBxy5CI?a7*IBSsq%o_J`i2Q2@btdYU4i-76&!isL>B(@ z0us$gHpU|`g|z$=&r)tJD8w1b##pI@lXS#K{lXc+5MLXlwE)fCQjbt^(0s=$`b!5MlsR3}q zU?!1!%EFRQARvixL)u36Gw_#M4XLCGhj7r9%K1BOYs)bLGXy7fwkVYF!lU=wwCLjt zUic6F-$;NQKra`UYHC0*<>(p>2eCebNXq;@vQtu0=}vu7I78I3-&T|jCkaW))Tr5L zKzZn(FB(Ojgx1n}WTfj`)eXg2Vr7ide6D>CF(6Ong;5Vv!A+y}qat3=Fe5oforvOh zMj0=|tOy>gv<8Uesf+kSwSmm$Jx1lRBY0_Mrv)1UY)Fq3?kVTg5Q7n}rP1t2oJdJ1 zA32#=GFq4~ikxi{>4r}LU`zwAbj}@T*dt?RN?s7E3KpYy%n1Bo5E}9KC?ZuE>BMEH zELJnJXEB>{0dj(-a0vJfO|F7M#mg*4Q-EOEg1hP3wD1nFu`9_TiHtKofdDx8CMDfe zXe|worm5OF!`u2>j;%p=R^p(xH~Be08VZ6vTsQuJTLywP5_h!=_ Date: Wed, 4 Sep 2019 11:32:17 -0400 Subject: [PATCH 04/17] supports multi-file input over PythonAPI --- framework/modelhubapi/pythonapi.py | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/framework/modelhubapi/pythonapi.py b/framework/modelhubapi/pythonapi.py index 57c745f..9ca0c57 100644 --- a/framework/modelhubapi/pythonapi.py +++ b/framework/modelhubapi/pythonapi.py @@ -143,6 +143,11 @@ def predict(self, input_file_path, numpyToFile=True, url_root=""): # ------------------------------------------------------------------------- def _unpack_inputs(self, file_path): + """ + This utility function returns a dictionary with the inputs if a + json file with multiple input files is specified, otherwise it just + returns the file_path unchanged for single inputs + """ if file_path.lower().endswith('.json'): input_dict = self._load_json(file_path) return self._check_input_compliance(input_dict) @@ -151,6 +156,11 @@ def _unpack_inputs(self, file_path): def _check_input_compliance(self, input_dict): + """ + Checks if the input dictionary has all the files needed as specified + in the model config file and returns an error if not. + * TODO: Check the other way round? + """ config = self.get_config()["model"]["io"]["input"] for key in config.keys(): if key not in input_dict: From e8a748e39955c25f57f57cc1e1b8f05c6bf5aa34 Mon Sep 17 00:00:00 2001 From: Christoph Berger Date: Mon, 9 Sep 2019 18:49:50 -0400 Subject: [PATCH 05/17] enables deep inspection of json files vie REST API and downloads files from url --- .gitignore | 2 + .travis.yml | 2 +- framework/modelhubapi/pythonapi.py | 14 +++ framework/modelhubapi/restapi.py | 111 +++++++++++++++++- framework/modelhubapi_tests/restapi_test.py | 15 ++- .../imageloaders/sitkImageLoader.py | 6 +- 6 files changed, 140 insertions(+), 10 deletions(-) diff --git a/.gitignore b/.gitignore index f2152f8..395ef3d 100644 --- a/.gitignore +++ b/.gitignore @@ -10,3 +10,5 @@ *.code-workspace /framework/htmlcov/ keras-modelhub:1.0.3 +pytorch-modelhub* +modelhub:test diff --git a/.travis.yml b/.travis.yml index acf4b50..93e8c8c 100644 --- a/.travis.yml +++ b/.travis.yml @@ -5,7 +5,7 @@ python: cache: pip install: - pip install flask-cors==3.0.6 - - pip install Flask==0.12.2 + - pip install Flask==0.12.3 - pip install numpy - pip install Pillow==5.1.0 - pip install SimpleITK==1.1.0 diff --git a/framework/modelhubapi/pythonapi.py b/framework/modelhubapi/pythonapi.py index 9ca0c57..1490f9d 100644 --- a/framework/modelhubapi/pythonapi.py +++ b/framework/modelhubapi/pythonapi.py @@ -147,9 +147,17 @@ def _unpack_inputs(self, file_path): This utility function returns a dictionary with the inputs if a json file with multiple input files is specified, otherwise it just returns the file_path unchanged for single inputs + It also converts the fileurl to a valid string (avoids html escaping) """ if file_path.lower().endswith('.json'): input_dict = self._load_json(file_path) + # ensure that the paths can be used by the receiving functions + print('loading stuff now') + print(input_dict) + for key, value in input_dict.items(): + if key == "format": + continue + input_dict[key]["fileurl"] = str(value["fileurl"]) return self._check_input_compliance(input_dict) else: return file_path @@ -186,6 +194,12 @@ def _load_json(self, file_path): except Exception as e: return {'error': str(e)} + def _write_json(self, file_path, output_dict): + try: + with io.open(file_path, mode='w', encoding='utf-8') as f: + json.dump(output_dict, file_path, ensure_ascii=False, indent=4) + except Exception as e: + return {'error': str(e)} def _correct_output_list_wrapping(self, output, config): if not isinstance(output, list): diff --git a/framework/modelhubapi/restapi.py b/framework/modelhubapi/restapi.py index 55e9098..b889e68 100644 --- a/framework/modelhubapi/restapi.py +++ b/framework/modelhubapi/restapi.py @@ -8,6 +8,8 @@ from datetime import datetime from flask_cors import CORS import magic +import collections # for isinstance with dicts +import re # for url matching regex class ModelHubRESTAPI: @@ -158,7 +160,13 @@ def predict(self): """ try: file_name, mime_type = self._save_file_get_mime_type(request) + print(file_name) + print(mime_type) + print(self._get_allowed_extensions()) if str(mime_type) in self._get_allowed_extensions(): + file_name = self._check_multi_inputs(file_name) + print('Calling predict now') + print('Passing this to predict: ' + file_name) result = self._jsonify(self.api.predict(file_name, url_root=request.url_root)) os.remove(file_name) return result @@ -229,6 +237,55 @@ def _jsonify(self, content): response.status_code = 400 return response + def _check_multi_inputs(self, file_name): + if file_name.lower().endswith('.json'): + folder = "/"+str(file_name).split('/')[-2] + print('Saving to folder: ' + folder) + print('is json! Load files!') + input_dict = self.api._load_json(file_name) + for key, value in input_dict.items(): + print(value) + if key == "format": + continue + elif self._check_if_url(value["fileurl"]): + input_dict[key]["fileurl"] = self._save_input_from_url(value["fileurl"], folder, value["type"]) + else: + print("Apparently this is a local path: " + value["fileurl"]) + # check if value is a url + # if yes, load and save it + # then replace the dictionary entry with the local path + # dump back to file + self.api._write_json(file_name, input_dict) + return file_name + + def _check_if_url(self, candidate): + url = re.findall('http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+] | \ + [!*\(\), ]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', candidate) + if len(url) == 1: + return True + elif len(url) == 0: + return False + else: + raise IOError("Multiple URLs detected in the input!") + + def _save_input_from_url(self, url, folder, type): + r = requests.get(url) + file_name = str(url).split('/')[-1] + # get file extension from mime types + file_ext = self._modify_mime_types_inv()[type[0]][0] + now = datetime.now() + file_path = os.path.join(folder, "%s%s" % (now.strftime("%Y-%m-%d-%H-%M-%S-%f"), + file_ext)) + print('File name in save is: ' + file_path) + # save without file extension + with open(file_path, 'wb') as f: + f.write(r.content) + # add extension + #file_name_with_extension = os.path.join(folder, file_name) + #print(file_name_with_extension) + #os.rename(file_path, file_name_with_extension) + return file_path + def _samples(self, sample_name): """ @@ -260,7 +317,10 @@ def _get_file_name(self, mime_type=""): mimetype is provided, it will return the file without an extension. """ now = datetime.now() - extension = self._modify_mime_types()[mime_type][0] if mime_type != "" else mime_type + extension = self._modify_mime_types_inv()[mime_type][0] if mime_type != "" else mime_type + # print(self._modify_mime_types_inv()) + print('Extension passed: ' + extension) + print('MIME type passed: ' + mime_type) file_name = os.path.join(self.working_folder, "%s%s" % (now.strftime("%Y-%m-%d-%H-%M-%S-%f"), extension)) @@ -276,29 +336,72 @@ def _save_file_get_mime_type(self, request): """ if request.method == 'GET': file_url = request.args.get('fileurl') + # cache file extension + file_name_raw = str(file_url).split('/')[-1] + print('File name is: ' + file_name_raw) + file_ext_cache = file_name_raw.split(os.extsep, 1)[-1] + print('Extension is: ' + file_ext_cache) r = requests.get(file_url) file_name = self._get_file_name() + print('File name in save is: ' + file_name) with open(file_name, 'wb') as f: f.write(r.content) elif request.method == 'POST': file = request.files.get('file') + # cache file extension + file_name_raw = str(file).split('/')[-1] + print('File name is: ' + file_name_raw) + file_ext_cache = file_name_raw.split(os.extsep, 1)[-1] + print('Extension is: ' + file_ext_cache) file_name = self._get_file_name() file.save(file_name) # _magic = magic.Magic(mime=True) + print('Loads MIME type from filename: ' + file_name) mime_type = _magic.from_file(file_name) - # + print('MIME type for save is: ' + mime_type) + + if mime_type == "text/plain" or mime_type == "application/octet-stream": + types = self._modify_mime_types() + try: + mime_type = types["."+file_ext_cache] + except KeyError as e: + raise KeyError("The file extension " + e + " is not supported.") + file_name_with_extension = self._get_file_name(mime_type) os.rename(file_name, file_name_with_extension) return file_name_with_extension, mime_type - def _modify_mime_types(self): + def _modify_mime_types_inv(self): """ + Inverse: returns a dictionary with mime types as keys. + Because some file extensions are not available in the MimeTypes library, this helper function modeifies it on the fly. This houses all the edge conditions. """ mime = MimeTypes() original_mime_types = mime.types_map_inv[1] - original_mime_types['application/octet-stream'] = [".npy"] + original_mime_types["application/octet-stream"] = [".npy"] + original_mime_types["application/nii"] = [".nii"] + original_mime_types["application/nii-gzip"] = [".nii.gz"] + original_mime_types["application/nrrd"] = [".nrrd"] + original_mime_types["application/dicom"] = [".dcm"] + return original_mime_types + + def _modify_mime_types(self): + """ + Returns a dictionary with file extensions as keys + + Because some file extensions are not available in the MimeTypes library, + this helper function modeifies it on the fly. This houses all the edge + conditions. + """ + mime = MimeTypes() + original_mime_types = mime.types_map[1] + original_mime_types[".npy"] = ["application/octet-stream"] + original_mime_types[".nii"] = ["application/nii"] + original_mime_types[".nii.gz"] = ["application/nii-gzip"] + original_mime_types[".nrrd"] = ["application/nrrd"] + original_mime_types[".dcm"] = ["application/dicom"] return original_mime_types diff --git a/framework/modelhubapi_tests/restapi_test.py b/framework/modelhubapi_tests/restapi_test.py index 5debe85..1c6b53c 100644 --- a/framework/modelhubapi_tests/restapi_test.py +++ b/framework/modelhubapi_tests/restapi_test.py @@ -17,7 +17,6 @@ def setUp(self): self.setup_self_temp_output_dir() self.setup_self_test_client(Model(), self.contrib_src_dir) - def tearDown(self): shutil.rmtree(self.temp_work_dir, ignore_errors=True) shutil.rmtree(self.temp_output_dir, ignore_errors=True) @@ -153,6 +152,20 @@ def test_predict_by_url_returns_error_on_unsupported_file_type(self): self.assertIn("error", result) self.assertIn("Incorrect file type.", result["error"]) + def test_predict_by_url_returns_error_on_unsupported_file_type_nii(self): + response = self.client.get("/api/predict?fileurl=https://github.com/christophbrgr/modelhub-tests/blob/master/testimage_nifti_91x109x91.nii.gz") + self.assertEqual(400, response.status_code) + result = json.loads(response.get_data()) + self.assertIn("error", result) + self.assertIn("Incorrect file type.", result["error"]) + + def test_predict_by_url_returns_error_on_unsupported_file_type_dcm(self): + response = self.client.get("/api/predict?fileurl=https://github.com/christophbrgr/modelhub-tests/blob/master/testimage_dicom_256x256.dcm") + self.assertEqual(400, response.status_code) + result = json.loads(response.get_data()) + self.assertIn("error", result) + self.assertIn("Incorrect file type.", result["error"]) + def test_working_folder_empty_after_predict_by_url(self): response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/modelhub-ai/modelhub-docker/master/framework/modelhublib_tests/testdata/testimage_ramp_4x2.png") diff --git a/framework/modelhublib/imageloaders/sitkImageLoader.py b/framework/modelhublib/imageloaders/sitkImageLoader.py index 26058ac..eafd48d 100644 --- a/framework/modelhublib/imageloaders/sitkImageLoader.py +++ b/framework/modelhublib/imageloaders/sitkImageLoader.py @@ -14,12 +14,12 @@ def _load(self, input): Args: input (str): Name of the input file to be loaded - + Returns: SimpleITK.Image object """ return sitk.ReadImage(input) - + def _getImageDimensions(self, image): """ @@ -34,5 +34,3 @@ def _getImageDimensions(self, image): imageDims.append(1) imageDims = imageDims[::-1] return imageDims - - From f0d25fc499ecc75d853f5b39eb5700f1cf6e401c Mon Sep 17 00:00:00 2001 From: Christoph Berger Date: Tue, 10 Sep 2019 15:33:22 -0400 Subject: [PATCH 06/17] tests passing, deep file download still breaks stuff --- framework/modelhubapi/pythonapi.py | 7 +-- framework/modelhubapi/restapi.py | 87 +++++++++++++++++++++--------- 2 files changed, 65 insertions(+), 29 deletions(-) diff --git a/framework/modelhubapi/pythonapi.py b/framework/modelhubapi/pythonapi.py index 1490f9d..0203b54 100644 --- a/framework/modelhubapi/pythonapi.py +++ b/framework/modelhubapi/pythonapi.py @@ -151,9 +151,6 @@ def _unpack_inputs(self, file_path): """ if file_path.lower().endswith('.json'): input_dict = self._load_json(file_path) - # ensure that the paths can be used by the receiving functions - print('loading stuff now') - print(input_dict) for key, value in input_dict.items(): if key == "format": continue @@ -196,8 +193,8 @@ def _load_json(self, file_path): def _write_json(self, file_path, output_dict): try: - with io.open(file_path, mode='w', encoding='utf-8') as f: - json.dump(output_dict, file_path, ensure_ascii=False, indent=4) + with open(file_name, mode='w') as f: + json.dump(input_dict, f, ensure_ascii=False) except Exception as e: return {'error': str(e)} diff --git a/framework/modelhubapi/restapi.py b/framework/modelhubapi/restapi.py index b889e68..e73adc2 100644 --- a/framework/modelhubapi/restapi.py +++ b/framework/modelhubapi/restapi.py @@ -1,6 +1,7 @@ from flask import Flask, jsonify, abort, make_response, send_file, url_for, send_from_directory, request from .pythonapi import ModelHubAPI import os +import io import json import shutil from mimetypes import MimeTypes @@ -160,15 +161,13 @@ def predict(self): """ try: file_name, mime_type = self._save_file_get_mime_type(request) - print(file_name) - print(mime_type) print(self._get_allowed_extensions()) if str(mime_type) in self._get_allowed_extensions(): file_name = self._check_multi_inputs(file_name) print('Calling predict now') print('Passing this to predict: ' + file_name) result = self._jsonify(self.api.predict(file_name, url_root=request.url_root)) - os.remove(file_name) + self._delete_temp_files(self.working_folder) return result else: return self._jsonify({'error': 'Incorrect file type.' }) @@ -221,6 +220,19 @@ def start(self): # Private helper functions # ------------------------------------------------------------------------- + def _delete_temp_files(self, folder): + """ + Removes all files in the given folder + """ + for file in os.listdir(folder): + file_path = os.path.join(folder, file) + try: + if os.path.isfile(file_path): + os.unlink(file_path) + #elif os.path.isdir(file_path): shutil.rmtree(file_path) + except Exception as e: + print(e) + def _jsonify(self, content): """ This helper function wraps the flask jsonify function, and also allows @@ -238,8 +250,25 @@ def _jsonify(self, content): return response def _check_multi_inputs(self, file_name): + """ + If file_name is a path to a json file, the file is + loaded and processed as follows: + * the function iterates through each key containing + files or urls, if it is a local path, it is left + untouched, but if it contains a url (_check_if_url + returns True), the file is downloaded + * the path to the downloaded file is then returned + and replaces the URL in the dictionary + * afterwards, the new dictionary is dumped to a new + json file containing only local paths + + the path to the new json file is then returned. + + If the passed path is no json file, it is simply + returned unchanged. + """ if file_name.lower().endswith('.json'): - folder = "/"+str(file_name).split('/')[-2] + folder = "/working" print('Saving to folder: ' + folder) print('is json! Load files!') input_dict = self.api._load_json(file_name) @@ -251,14 +280,22 @@ def _check_multi_inputs(self, file_name): input_dict[key]["fileurl"] = self._save_input_from_url(value["fileurl"], folder, value["type"]) else: print("Apparently this is a local path: " + value["fileurl"]) - # check if value is a url - # if yes, load and save it - # then replace the dictionary entry with the local path - # dump back to file - self.api._write_json(file_name, input_dict) + now = datetime.now() + file_name = os.path.join(folder, "%s%s" % (now.strftime("%Y-%m-%d-%H-%M-%S-%f"), + '.json')) + # dump to file + with open(file_name, mode='w') as f: + json.dump(input_dict, f, ensure_ascii=False) return file_name def _check_if_url(self, candidate): + """ + Uses a standard regex to check if the passed string is a + valid URL. If it is (and the string only contains a single + URL), it returns true, otherwise false. + Raises an IOError if multiple URLs are contained in the + string. + """ url = re.findall('http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+] | \ [!*\(\), ]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', candidate) if len(url) == 1: @@ -269,22 +306,34 @@ def _check_if_url(self, candidate): raise IOError("Multiple URLs detected in the input!") def _save_input_from_url(self, url, folder, type): + """ + This function downloads an arbitrary file from a URL and + saves it first without extension in its raw format and + then adds the right file extension after looking up its + mime type. + + TODO: + * breaks nifti files + * breaks nii.gz files + """ r = requests.get(url) file_name = str(url).split('/')[-1] # get file extension from mime types file_ext = self._modify_mime_types_inv()[type[0]][0] now = datetime.now() - file_path = os.path.join(folder, "%s%s" % (now.strftime("%Y-%m-%d-%H-%M-%S-%f"), - file_ext)) + file_path = os.path.join(folder, "%s" % (now.strftime("%Y-%m-%d-%H-%M-%S-%f"))) print('File name in save is: ' + file_path) # save without file extension with open(file_path, 'wb') as f: f.write(r.content) # add extension + file_path_with_ext = file_path + file_ext + os.rename(file_path, file_path_with_ext) + # add extension #file_name_with_extension = os.path.join(folder, file_name) #print(file_name_with_extension) #os.rename(file_path, file_name_with_extension) - return file_path + return file_path_with_ext def _samples(self, sample_name): @@ -318,9 +367,6 @@ def _get_file_name(self, mime_type=""): """ now = datetime.now() extension = self._modify_mime_types_inv()[mime_type][0] if mime_type != "" else mime_type - # print(self._modify_mime_types_inv()) - print('Extension passed: ' + extension) - print('MIME type passed: ' + mime_type) file_name = os.path.join(self.working_folder, "%s%s" % (now.strftime("%Y-%m-%d-%H-%M-%S-%f"), extension)) @@ -338,29 +384,22 @@ def _save_file_get_mime_type(self, request): file_url = request.args.get('fileurl') # cache file extension file_name_raw = str(file_url).split('/')[-1] - print('File name is: ' + file_name_raw) file_ext_cache = file_name_raw.split(os.extsep, 1)[-1] - print('Extension is: ' + file_ext_cache) r = requests.get(file_url) file_name = self._get_file_name() - print('File name in save is: ' + file_name) with open(file_name, 'wb') as f: f.write(r.content) elif request.method == 'POST': file = request.files.get('file') # cache file extension file_name_raw = str(file).split('/')[-1] - print('File name is: ' + file_name_raw) file_ext_cache = file_name_raw.split(os.extsep, 1)[-1] - print('Extension is: ' + file_ext_cache) file_name = self._get_file_name() file.save(file_name) - # + _magic = magic.Magic(mime=True) - print('Loads MIME type from filename: ' + file_name) mime_type = _magic.from_file(file_name) - print('MIME type for save is: ' + mime_type) - + # checks if a catchall type has been set and takes action: if mime_type == "text/plain" or mime_type == "application/octet-stream": types = self._modify_mime_types() try: From 68fa8d488f611c092c549fa50bfaba64c3462694 Mon Sep 17 00:00:00 2001 From: Christoph Berger Date: Wed, 11 Sep 2019 11:07:31 -0400 Subject: [PATCH 07/17] has worked all along --- framework/modelhubapi/restapi.py | 35 +++++++++++++++----------------- 1 file changed, 16 insertions(+), 19 deletions(-) diff --git a/framework/modelhubapi/restapi.py b/framework/modelhubapi/restapi.py index e73adc2..c6f622f 100644 --- a/framework/modelhubapi/restapi.py +++ b/framework/modelhubapi/restapi.py @@ -161,11 +161,8 @@ def predict(self): """ try: file_name, mime_type = self._save_file_get_mime_type(request) - print(self._get_allowed_extensions()) if str(mime_type) in self._get_allowed_extensions(): file_name = self._check_multi_inputs(file_name) - print('Calling predict now') - print('Passing this to predict: ' + file_name) result = self._jsonify(self.api.predict(file_name, url_root=request.url_root)) self._delete_temp_files(self.working_folder) return result @@ -268,21 +265,17 @@ def _check_multi_inputs(self, file_name): returned unchanged. """ if file_name.lower().endswith('.json'): - folder = "/working" - print('Saving to folder: ' + folder) - print('is json! Load files!') input_dict = self.api._load_json(file_name) for key, value in input_dict.items(): - print(value) if key == "format": continue elif self._check_if_url(value["fileurl"]): - input_dict[key]["fileurl"] = self._save_input_from_url(value["fileurl"], folder, value["type"]) + input_dict[key]["fileurl"] = self._save_input_from_url(value["fileurl"], value["type"]) else: print("Apparently this is a local path: " + value["fileurl"]) now = datetime.now() - file_name = os.path.join(folder, "%s%s" % (now.strftime("%Y-%m-%d-%H-%M-%S-%f"), - '.json')) + file_name = os.path.join(self.working_folder, + "%s%s" % (now.strftime("%Y-%m-%d-%H-%M-%S-%f"), '.json')) # dump to file with open(file_name, mode='w') as f: json.dump(input_dict, f, ensure_ascii=False) @@ -305,34 +298,38 @@ def _check_if_url(self, candidate): else: raise IOError("Multiple URLs detected in the input!") - def _save_input_from_url(self, url, folder, type): + def _save_input_from_url(self, url, type): """ This function downloads an arbitrary file from a URL and saves it first without extension in its raw format and then adds the right file extension after looking up its mime type. + Args: + url (str): the url pointing to the file to download + type (list): the mime type of the file + TODO: * breaks nifti files * breaks nii.gz files + * breaks all files """ - r = requests.get(url) + r = requests.get(url, stream=True) file_name = str(url).split('/')[-1] # get file extension from mime types file_ext = self._modify_mime_types_inv()[type[0]][0] now = datetime.now() - file_path = os.path.join(folder, "%s" % (now.strftime("%Y-%m-%d-%H-%M-%S-%f"))) - print('File name in save is: ' + file_path) + file_path = os.path.join(self.working_folder, + "%s" % (now.strftime("%Y-%m-%d-%H-%M-%S-%f"))) # save without file extension with open(file_path, 'wb') as f: - f.write(r.content) + for chunk in r.iter_content(chunk_size=512): + f.write(chunk) + #with open(file_path, 'wb') as f: + # f.write(r.content) # add extension file_path_with_ext = file_path + file_ext os.rename(file_path, file_path_with_ext) - # add extension - #file_name_with_extension = os.path.join(folder, file_name) - #print(file_name_with_extension) - #os.rename(file_path, file_name_with_extension) return file_path_with_ext From 290c239a76e5a7d9daca122c0d6b956466ed62ff Mon Sep 17 00:00:00 2001 From: Christoph Berger Date: Wed, 11 Sep 2019 12:02:37 -0400 Subject: [PATCH 08/17] restapi.py now conforms to pep8 --- framework/modelhubapi/pythonapi.py | 3 + framework/modelhubapi/restapi.py | 168 +++++++++++++++-------------- 2 files changed, 92 insertions(+), 79 deletions(-) diff --git a/framework/modelhubapi/pythonapi.py b/framework/modelhubapi/pythonapi.py index 0203b54..af341ee 100644 --- a/framework/modelhubapi/pythonapi.py +++ b/framework/modelhubapi/pythonapi.py @@ -91,6 +91,9 @@ def predict(self, input_file_path, numpyToFile=True, url_root=""): Args: input_file_path (str): Path to input file to run inference on. + Either a direct input file or a json containing paths to all + input files needed for the model to predict. The appropriate + structure for the json can be found in the documentation. numpyToFile (bool): Only effective if prediction is a numpy array. Indicates if numpy outputs should be saved and a path to it is returned. If false, a json-serializable list representation of diff --git a/framework/modelhubapi/restapi.py b/framework/modelhubapi/restapi.py index c6f622f..72d08fc 100644 --- a/framework/modelhubapi/restapi.py +++ b/framework/modelhubapi/restapi.py @@ -1,4 +1,5 @@ -from flask import Flask, jsonify, abort, make_response, send_file, url_for, send_from_directory, request +from flask import Flask, jsonify, abort, make_response, \ + send_file, url_for, send_from_directory, request from .pythonapi import ModelHubAPI import os import io @@ -9,8 +10,7 @@ from datetime import datetime from flask_cors import CORS import magic -import collections # for isinstance with dicts -import re # for url matching regex +import re class ModelHubRESTAPI: @@ -41,11 +41,10 @@ def __init__(self, model, contrib_src_dir): self.app.add_url_rule('/api/get_samples', 'get_samples', self.get_samples) self.app.add_url_rule('/api/predict', 'predict', - self.predict, methods= ['GET', 'POST']) + self.predict, methods=['GET', 'POST']) self.app.add_url_rule('/api/predict_sample', 'predict_sample', self.predict_sample) - def get_config(self): """ GET method @@ -55,7 +54,6 @@ def get_config(self): """ return self._jsonify(self.api.get_config()) - def get_legal(self): """ GET method @@ -74,7 +72,6 @@ def get_legal(self): """ return self._jsonify(self.api.get_legal()) - def get_model_io(self): """ GET method @@ -87,7 +84,6 @@ def get_model_io(self): """ return self._jsonify(self.api.get_model_io()) - def get_model_files(self): """ GET method @@ -99,19 +95,20 @@ def get_model_files(self): """ # TODO # * This returns a error: [Errno 32] Broken pipe when url is typed - # into chrome and before hitting enter - chrome sends request earlier, - # and this messes up with flask. + # into chrome and before hitting enter - chrome sends + # request earlier, and this messes up with flask. # * Currently no mechanism for catching errors (except what flask # will catch). try: model_name = self.api.get_config()["meta"]["name"].lower() - archive_name = os.path.join(self.working_folder, model_name + "_model") - shutil.make_archive(archive_name, "zip", self.contrib_src_dir, "model") - return send_file(archive_name + ".zip", as_attachment= True) + archive_name = os.path.join(self.working_folder, + model_name + "_model") + shutil.make_archive(archive_name, "zip", + self.contrib_src_dir, "model") + return send_file(archive_name + ".zip", as_attachment=True) except Exception as e: return self._jsonify({'error': str(e)}) - def get_samples(self): """ GET method @@ -123,55 +120,60 @@ def get_samples(self): try: url = request.url url = url.replace("api/get_samples", "api/samples/") - samples = [ url + sample_name - for sample_name in self.api.get_samples()["files"]] + samples = [url + sample_name + for sample_name in self.api.get_samples()["files"]] return self._jsonify(samples) except Exception as e: return self._jsonify({'error': str(e)}) - def predict(self): """ GET/POST method Returns: application/json: - Prediction result on input data. Return type/format as specified - in the model configuration (see :func:`~get_model_io`), and - wrapped in json. In case of an error, returns a dictionary - with error info. + Prediction result on input data. Return type/format as + specified in the model configuration + (see :func:`~get_model_io`), and wrapped in json. In case of + an error, returns a dictionary with error info. GET method Args: fileurl: URL to input data for prediciton. Input type must match - specification in the model configuration (see :func:`~get_model_io`) - URL must not contain any arguments and should end with the file - extension. + specification in the model configuration + (see :func:`~get_model_io`) URL must not contain any + arguments and should end with the file extension. - GET Example: :code:`curl -X GET http://localhost:80/api/predict?fileurl=` + GET Example: + :code: + `curl -X GET http://localhost:80/api/predict?fileurl=` POST method Args: file: Input file with data for prediction. Input type must match - specification in the model configuration (see :func:`~get_model_io`) + specification in the model configuration + (see :func:`~get_model_io`) - POST Example: :code:`curl -i -X POST -F file=@ http://localhost:80/api/predict` + POST Example: + :code: + `curl -i -X POST -F file=@ + `http://localhost:80/api/predict` """ try: file_name, mime_type = self._save_file_get_mime_type(request) if str(mime_type) in self._get_allowed_extensions(): file_name = self._check_multi_inputs(file_name) - result = self._jsonify(self.api.predict(file_name, url_root=request.url_root)) + result = self._jsonify(self.api.predict(file_name, + url_root=request.url_root)) self._delete_temp_files(self.working_folder) return result else: - return self._jsonify({'error': 'Incorrect file type.' }) + return self._jsonify({'error': 'Incorrect file type.'}) except Exception as e: return self._jsonify({'error': str(e)}) - def predict_sample(self): """ GET method @@ -198,21 +200,21 @@ def predict_sample(self): file_name = request.args.get('filename') file_name = self.contrib_src_dir + "/sample_data/" + file_name if os.path.isfile(file_name): - result = self.api.predict(str(file_name), url_root=request.url_root) + result = self.api.predict(str(file_name), + url_root=request.url_root) return self._jsonify(result) else: - return self._jsonify({'error': 'The given sample file does not exist.' }) + return self._jsonify( + {'error': 'The given sample file does not exist.'}) except Exception as e: return self._jsonify({'error': str(e)}) - def start(self): """ Starts the flask app. """ self.app.run(host='0.0.0.0', port=80, threaded=True) - # ------------------------------------------------------------------------- # Private helper functions # ------------------------------------------------------------------------- @@ -226,7 +228,6 @@ def _delete_temp_files(self, folder): try: if os.path.isfile(file_path): os.unlink(file_path) - #elif os.path.isdir(file_path): shutil.rmtree(file_path) except Exception as e: print(e) @@ -238,8 +239,8 @@ def _jsonify(self, content): the file is not found. TODO - * All errors are returned as 400. Would be better to customize the error - code based on the actual error. + * All errors are returned as 400. Would be better to customize the + error code based on the actual error. """ response = jsonify(content) if (type(content) is dict) and ("error" in content.keys()): @@ -270,12 +271,16 @@ def _check_multi_inputs(self, file_name): if key == "format": continue elif self._check_if_url(value["fileurl"]): - input_dict[key]["fileurl"] = self._save_input_from_url(value["fileurl"], value["type"]) + input_dict[key]["fileurl"] = \ + self._save_input_from_url(value["fileurl"], + value["type"]) else: - print("Apparently this is a local path: " + value["fileurl"]) + print("Local path found: " + value["fileurl"]) now = datetime.now() file_name = os.path.join(self.working_folder, - "%s%s" % (now.strftime("%Y-%m-%d-%H-%M-%S-%f"), '.json')) + "%s%s" % + (now.strftime("%Y-%m-%d-%H-%M-%S-%f"), + '.json')) # dump to file with open(file_name, mode='w') as f: json.dump(input_dict, f, ensure_ascii=False) @@ -309,48 +314,45 @@ def _save_input_from_url(self, url, type): url (str): the url pointing to the file to download type (list): the mime type of the file - TODO: - * breaks nifti files - * breaks nii.gz files - * breaks all files + Issues: + if the resource at the url is unresponsive, get may + never time out and hang indefinitely. """ + now = datetime.now() r = requests.get(url, stream=True) file_name = str(url).split('/')[-1] - # get file extension from mime types file_ext = self._modify_mime_types_inv()[type[0]][0] - now = datetime.now() file_path = os.path.join(self.working_folder, - "%s" % (now.strftime("%Y-%m-%d-%H-%M-%S-%f"))) - # save without file extension + "%s" % (now.strftime("%Y-%m-%d-%H-%M-%S-%f"))) with open(file_path, 'wb') as f: for chunk in r.iter_content(chunk_size=512): f.write(chunk) - #with open(file_path, 'wb') as f: - # f.write(r.content) # add extension file_path_with_ext = file_path + file_ext os.rename(file_path, file_path_with_ext) return file_path_with_ext - def _samples(self, sample_name): """ Routing function for sample files that exist in contrib_src. """ - return send_from_directory(self.contrib_src_dir + "/sample_data/", sample_name, cache_timeout=-1) + return send_from_directory(self.contrib_src_dir + "/sample_data/", + sample_name, cache_timeout=-1) def _output(self, output_name): """ Routing function for output files that may exist in the output folder. """ - return send_from_directory(self.api.output_folder, output_name, cache_timeout=-1) + return send_from_directory(self.api.output_folder, output_name, + cache_timeout=-1) def _thumbnail(self, thumbnail_name): """ Routing function for the thumbnail that exists in contrib_src. The thumbnail must be named "thumbnail.jpg". """ - return send_from_directory(self.contrib_src_dir + "/model/", thumbnail_name, cache_timeout=-1) + return send_from_directory(self.contrib_src_dir + "/model/", + thumbnail_name, cache_timeout=-1) def _get_allowed_extensions(self): return self.api.get_model_io()["input"]["format"] @@ -363,10 +365,12 @@ def _get_file_name(self, mime_type=""): mimetype is provided, it will return the file without an extension. """ now = datetime.now() - extension = self._modify_mime_types_inv()[mime_type][0] if mime_type != "" else mime_type + extension = self._modify_mime_types_inv()[mime_type][0] \ + if mime_type != "" else mime_type file_name = os.path.join(self.working_folder, - "%s%s" % (now.strftime("%Y-%m-%d-%H-%M-%S-%f"), - extension)) + "%s%s" % + (now.strftime("%Y-%m-%d-%H-%M-%S-%f"), + extension)) return file_name def _save_file_get_mime_type(self, request): @@ -397,41 +401,28 @@ def _save_file_get_mime_type(self, request): _magic = magic.Magic(mime=True) mime_type = _magic.from_file(file_name) # checks if a catchall type has been set and takes action: - if mime_type == "text/plain" or mime_type == "application/octet-stream": + if mime_type == "text/plain" or \ + mime_type == "application/octet-stream": types = self._modify_mime_types() try: mime_type = types["."+file_ext_cache] except KeyError as e: - raise KeyError("The file extension " + e + " is not supported.") + raise KeyError("The file extension " + e + + " is not supported.") file_name_with_extension = self._get_file_name(mime_type) os.rename(file_name, file_name_with_extension) return file_name_with_extension, mime_type - def _modify_mime_types_inv(self): - """ - Inverse: returns a dictionary with mime types as keys. - - Because some file extensions are not available in the MimeTypes library, - this helper function modeifies it on the fly. This houses all the edge - conditions. - """ - mime = MimeTypes() - original_mime_types = mime.types_map_inv[1] - original_mime_types["application/octet-stream"] = [".npy"] - original_mime_types["application/nii"] = [".nii"] - original_mime_types["application/nii-gzip"] = [".nii.gz"] - original_mime_types["application/nrrd"] = [".nrrd"] - original_mime_types["application/dicom"] = [".dcm"] - return original_mime_types - def _modify_mime_types(self): """ Returns a dictionary with file extensions as keys - Because some file extensions are not available in the MimeTypes library, - this helper function modeifies it on the fly. This houses all the edge - conditions. + Because some file extensions are not available in the MimeTypes + library, this helper function modeifies it on the fly. + This houses all the edge conditions. + + Open an issue to request a new extension. """ mime = MimeTypes() original_mime_types = mime.types_map[1] @@ -441,3 +432,22 @@ def _modify_mime_types(self): original_mime_types[".nrrd"] = ["application/nrrd"] original_mime_types[".dcm"] = ["application/dicom"] return original_mime_types + + def _modify_mime_types_inv(self): + """ + Inverse: returns a dictionary with mime types as keys. + + Because some file extensions are not available in the MimeTypes + library, this helper function modifies it on the fly. + This houses all the edge conditions. + + Open an issue to request a new extension. + """ + mime = MimeTypes() + original_mime_types = mime.types_map_inv[1] + original_mime_types["application/octet-stream"] = [".npy"] + original_mime_types["application/nii"] = [".nii"] + original_mime_types["application/nii-gzip"] = [".nii.gz"] + original_mime_types["application/nrrd"] = [".nrrd"] + original_mime_types["application/dicom"] = [".dcm"] + return original_mime_types From 71c4dbcf1cb412cc996f74e2fa935d2659eabe4d Mon Sep 17 00:00:00 2001 From: Christoph Berger Date: Wed, 11 Sep 2019 15:13:54 -0400 Subject: [PATCH 09/17] makes better use of api functions --- framework/modelhubapi/pythonapi.py | 4 +- framework/modelhubapi/restapi.py | 3 +- framework/modelhubapi_tests/restapi_test.py | 51 +++++++++++++++------ 3 files changed, 39 insertions(+), 19 deletions(-) diff --git a/framework/modelhubapi/pythonapi.py b/framework/modelhubapi/pythonapi.py index af341ee..901a5b2 100644 --- a/framework/modelhubapi/pythonapi.py +++ b/framework/modelhubapi/pythonapi.py @@ -196,8 +196,8 @@ def _load_json(self, file_path): def _write_json(self, file_path, output_dict): try: - with open(file_name, mode='w') as f: - json.dump(input_dict, f, ensure_ascii=False) + with open(file_path, mode='w') as f: + json.dump(output_dict, f, ensure_ascii=False) except Exception as e: return {'error': str(e)} diff --git a/framework/modelhubapi/restapi.py b/framework/modelhubapi/restapi.py index 72d08fc..8f26051 100644 --- a/framework/modelhubapi/restapi.py +++ b/framework/modelhubapi/restapi.py @@ -282,8 +282,7 @@ def _check_multi_inputs(self, file_name): (now.strftime("%Y-%m-%d-%H-%M-%S-%f"), '.json')) # dump to file - with open(file_name, mode='w') as f: - json.dump(input_dict, f, ensure_ascii=False) + self.api._write_json(file_name, input_dict) return file_name def _check_if_url(self, candidate): diff --git a/framework/modelhubapi_tests/restapi_test.py b/framework/modelhubapi_tests/restapi_test.py index 1c6b53c..730be24 100644 --- a/framework/modelhubapi_tests/restapi_test.py +++ b/framework/modelhubapi_tests/restapi_test.py @@ -8,7 +8,7 @@ -class TestModelHubRESTAPI(TestRESTAPIBase): +class TestModelHubRESTAPI_SI(TestRESTAPIBase): def setUp(self): self.this_dir = os.path.dirname(os.path.realpath(__file__)) @@ -152,20 +152,6 @@ def test_predict_by_url_returns_error_on_unsupported_file_type(self): self.assertIn("error", result) self.assertIn("Incorrect file type.", result["error"]) - def test_predict_by_url_returns_error_on_unsupported_file_type_nii(self): - response = self.client.get("/api/predict?fileurl=https://github.com/christophbrgr/modelhub-tests/blob/master/testimage_nifti_91x109x91.nii.gz") - self.assertEqual(400, response.status_code) - result = json.loads(response.get_data()) - self.assertIn("error", result) - self.assertIn("Incorrect file type.", result["error"]) - - def test_predict_by_url_returns_error_on_unsupported_file_type_dcm(self): - response = self.client.get("/api/predict?fileurl=https://github.com/christophbrgr/modelhub-tests/blob/master/testimage_dicom_256x256.dcm") - self.assertEqual(400, response.status_code) - result = json.loads(response.get_data()) - self.assertIn("error", result) - self.assertIn("Incorrect file type.", result["error"]) - def test_working_folder_empty_after_predict_by_url(self): response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/modelhub-ai/modelhub-docker/master/framework/modelhublib_tests/testdata/testimage_ramp_4x2.png") @@ -184,7 +170,42 @@ def test_predict_sample_on_invalid_file_returns_error(self): response = self.client.get("/api/predict_sample?filename=NON_EXISTENT.png") self.assertEqual(400, response.status_code) +class TestModelHubRESTAPI_MI(TestRESTAPIBase): + + def setUp(self): + self.this_dir = os.path.dirname(os.path.realpath(__file__)) + self.contrib_src_dir = os.path.join(self.this_dir, "mockmodels", "contrib_src_mi") + self.setup_self_temp_work_dir() + self.setup_self_temp_output_dir() + self.setup_self_test_client(Model(), self.contrib_src_dir) + + def tearDown(self): + shutil.rmtree(self.temp_work_dir, ignore_errors=True) + shutil.rmtree(self.temp_output_dir, ignore_errors=True) + pass + def test_get_config_returns_correct_dict(self): + response = self.client.get("/api/get_config") + self.assertEqual(200, response.status_code) + config = json.loads(response.get_data()) + self.assert_config_contains_correct_dict(config) + + # TODO this is not so nice yet, test should not require a download from the inet + # should probably use a mock server for this + def test_predict_by_url_returns_expected_mock_prediction(self): + response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/mi_restapi_test.json") + self.assertEqual(200, response.status_code) + result = json.loads(response.get_data()) + self.assert_predict_contains_expected_mock_prediction(result) + + + # TODO this is not so nice yet, test should not require a download from the inet + # should probably use a mock server for this + def test_predict_by_url_returns_expected_mock_meta_info(self): + response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/mi_restapi_test.json") + self.assertEqual(200, response.status_code) + result = json.loads(response.get_data()) + self.assert_predict_contains_expected_mock_meta_info(result) if __name__ == '__main__': unittest.main() From e3c501f365d94822b920fb26b196509a47608adc Mon Sep 17 00:00:00 2001 From: Christoph Berger Date: Thu, 12 Sep 2019 18:01:55 -0400 Subject: [PATCH 10/17] prelim tests passing --- framework/modelhubapi/pythonapi.py | 1 + framework/modelhubapi_tests/apitestbase.py | 10 ++ .../mockmodels/contrib_src_mi/inference.py | 13 ++- .../contrib_src_mi/model/config.json | 8 +- .../contrib_src_mi/model/config_4_nii.json | 105 ++++++++++++++++++ .../sample_data/valid_input_list.json | 8 +- framework/modelhubapi_tests/monkeypatches.py | 10 ++ framework/modelhubapi_tests/restapi_test.py | 25 ++--- 8 files changed, 157 insertions(+), 23 deletions(-) create mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config_4_nii.json create mode 100644 framework/modelhubapi_tests/monkeypatches.py diff --git a/framework/modelhubapi/pythonapi.py b/framework/modelhubapi/pythonapi.py index 901a5b2..37ace96 100644 --- a/framework/modelhubapi/pythonapi.py +++ b/framework/modelhubapi/pythonapi.py @@ -138,6 +138,7 @@ def predict(self, input_file_path, numpyToFile=True, url_root=""): } } except Exception as e: + print(e) return {'error': repr(e)} diff --git a/framework/modelhubapi_tests/apitestbase.py b/framework/modelhubapi_tests/apitestbase.py index 98b6c1f..024b5e1 100644 --- a/framework/modelhubapi_tests/apitestbase.py +++ b/framework/modelhubapi_tests/apitestbase.py @@ -114,6 +114,16 @@ def _post_predict_request_on_sample_image(self, sample_image_name): content_type = 'multipart/form-data') return response + def _post_predict_request_on_sample_image_mi(self, sample_image_name): + test_filename = self.contrib_src_dir + "/sample_data/" + sample_image_name + extension = os.path.splitext(test_filename)[1] + with open(test_filename, "rb") as f: + image_data = f.read() + response = self.client.post("/api/predict", + data = {'file': (image_data, 'test_image' + extension)}, + content_type = 'multipart/form-data') + return response + if __name__ == '__main__': diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/inference.py b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/inference.py index 8d2bd40..98ea0e9 100644 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/inference.py +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/inference.py @@ -5,7 +5,7 @@ config. This is ok for unit testing, most models are only used for a small set of specific tests requiring that model's specific behavioural aspect. -These models test absed on the multi input mock model (contrib_src_mi) with +These models test based on the multi input mock model (contrib_src_mi) with a single output. """ @@ -50,3 +50,14 @@ class ModelReturnsListOfOneLabelList(ModelReturnsOneLabelList): def infer(self, input): return [super(ModelReturnsListOfOneLabelList, self).infer(input)] + +class ModelNeedsFourNiftis(ModelBase): + def _init_(self): + pass + + def infer(self, input): + assert(isinstance(input, dict)) + for k, v in input.items(): + if v["type"] != ["application/nii-gzip"]: + raise IOError("This is not a correct input!") + return [True] diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config.json index 05808d8..ccc3c34 100644 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config.json +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config.json @@ -34,7 +34,7 @@ "input":{ "format":["image/png", "application/json", "image/jpg"], "t1":{ - "format": ["image/png"], + "type": ["image/png"], "dim_limits": [ { "min": 1, @@ -49,7 +49,7 @@ ] }, "img1":{ - "format": ["image/jpg"], + "type": ["image/jpg"], "dim_limits": [ { "min": 1, @@ -64,7 +64,7 @@ ] }, "img2":{ - "format": ["image/png"], + "type": ["image/png"], "dim_limits": [ { "min": 1, @@ -79,7 +79,7 @@ ] }, "flair":{ - "format": ["image/png"], + "type": ["image/png"], "dim_limits": [ { "min": 1, diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config_4_nii.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config_4_nii.json new file mode 100644 index 0000000..6a1a452 --- /dev/null +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config_4_nii.json @@ -0,0 +1,105 @@ +{ + "id": "MockId", + "meta": { + "name": "MockNet", + "application_area": "UnitTest", + "task": "Mock for Unit Testing", + "task_extended": + "Simple mock model for unit testing the APIs", + "data_type": "Image", + "data_source": "None" + }, + "publication": { + "title": + "Mock Title", + "journal": "None", + "year": 1111, + "authors": + "No One", + "email": "mock@mock.org", + "abstract": + "Mock abstract", + "url": "https://modelhub.ai", + "google_scholar": + "", + "bibtex": + "" + }, + "model": { + "description": + "Mock description", + "architecture": "Empty", + "learning_type": "None", + "io": { + "input":{ + "format": ["application/json"], + "t1":{ + "format": ["application/nii-gzip"], + "dim_limits": [ + { + "min": 1, + "max": 155 + }, + { + "min": 1 + }, + { + "min": 1 + } + ] + }, + "t1c":{ + "format": ["application/nii-gzip"], + "dim_limits": [ + { + "min": 1, + "max": 155 + }, + { + "min": 1 + }, + { + "min": 1 + } + ] + }, + "t2":{ + "format": ["application/nii-gzip"], + "dim_limits": [ + { + "min": 1, + "max": 155 + }, + { + "min": 1 + }, + { + "min": 1 + } + ] + }, + "flair":{ + "format": ["application/nii-gzip"], + "dim_limits": [ + { + "min": 1, + "max": 155 + }, + { + "min": 1 + }, + { + "min": 1 + } + ] + } + }, + "output": [ + { + "name": "probabilities", + "type": "label_list" + } + ] + } + } +} diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json index a9edb99..6836837 100644 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json @@ -1,19 +1,19 @@ { "format":["application/json"], "t1":{ - "type": "[application/gzip]", + "format": "[application/gzip]", "fileurl": "this/path/here" }, "flair":{ - "type": "[application/gzip]", + "format": "[application/gzip]", "fileurl": "http://anythingontheweb.url/dogbrain.nii.gz" }, "img1":{ - "type":"[image/png]", + "format":"[image/png]", "fileurl": "/sample_data/testimage_ramp_4x2.png" }, "img2":{ - "type":"[image/jpg]", + "format":"[image/jpg]", "fileurl": "/sample_data/testimage_ramp_4x2.jpg" } } diff --git a/framework/modelhubapi_tests/monkeypatches.py b/framework/modelhubapi_tests/monkeypatches.py new file mode 100644 index 0000000..5cb3a7e --- /dev/null +++ b/framework/modelhubapi_tests/monkeypatches.py @@ -0,0 +1,10 @@ +from modelhubapi.pythonapi import ModelHubAPI + +class Monkey(ModelHubAPI): + + def __init__(self, model, contrib_src_dir, config): + self.monekyconfig = contrib_src_dir + "/model/" + config + super(Monkey, self).__init__(model, contrib_src_dir) + + def get_config(self): + return self._load_json(self.monkeyconfig) diff --git a/framework/modelhubapi_tests/restapi_test.py b/framework/modelhubapi_tests/restapi_test.py index 730be24..6f23e48 100644 --- a/framework/modelhubapi_tests/restapi_test.py +++ b/framework/modelhubapi_tests/restapi_test.py @@ -4,7 +4,9 @@ import shutil import json from modelhubapi_tests.mockmodels.contrib_src_si.inference import Model +from modelhubapi_tests.mockmodels.contrib_src_mi.inference import ModelNeedsTwoInputs from .apitestbase import TestRESTAPIBase +from .monkeypatches import Monkey @@ -177,7 +179,8 @@ def setUp(self): self.contrib_src_dir = os.path.join(self.this_dir, "mockmodels", "contrib_src_mi") self.setup_self_temp_work_dir() self.setup_self_temp_output_dir() - self.setup_self_test_client(Model(), self.contrib_src_dir) + self.setup_self_test_client(ModelNeedsTwoInputs(), self.contrib_src_dir) + self.client.api = Monkey(ModelNeedsTwoInputs(), self.contrib_src_dir, 'config_4_nii.json') def tearDown(self): shutil.rmtree(self.temp_work_dir, ignore_errors=True) @@ -190,22 +193,16 @@ def test_get_config_returns_correct_dict(self): config = json.loads(response.get_data()) self.assert_config_contains_correct_dict(config) - # TODO this is not so nice yet, test should not require a download from the inet - # should probably use a mock server for this - def test_predict_by_url_returns_expected_mock_prediction(self): + def test_working_folder_empty_after_predict_by_url(self): response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/mi_restapi_test.json") self.assertEqual(200, response.status_code) - result = json.loads(response.get_data()) - self.assert_predict_contains_expected_mock_prediction(result) - + self.assertEqual(len(os.listdir(self.temp_work_dir) ), 0) - # TODO this is not so nice yet, test should not require a download from the inet - # should probably use a mock server for this - def test_predict_by_url_returns_expected_mock_meta_info(self): - response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/mi_restapi_test.json") - self.assertEqual(200, response.status_code) - result = json.loads(response.get_data()) - self.assert_predict_contains_expected_mock_meta_info(result) + # def test_predict_sample_returns_expected_mock_prediction(self): + # response = self.client.get("/api/predict_sample?filename=https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/4_nii_mixed.json") + # self.assertEqual(200, response.status_code) + # result = json.loads(response.get_data()) + # self.assertEqual(result["output"][0]["prediction"][0], True) if __name__ == '__main__': unittest.main() From f3b59fba9b8490b2eaedbeb56a6a49944e45bec1 Mon Sep 17 00:00:00 2001 From: Christoph Berger Date: Mon, 16 Sep 2019 12:33:49 -0400 Subject: [PATCH 11/17] updates docs version to 0.4 in prep for release --- docs/source/conf.py | 4 ++-- docs/source/contribute.md | 5 ++++- docs/source/quickstart.md | 3 ++- 3 files changed, 8 insertions(+), 4 deletions(-) diff --git a/docs/source/conf.py b/docs/source/conf.py index b768666..1a2b9b0 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -67,9 +67,9 @@ # built documents. # # The short X.Y version. -version = u'0.3' +version = u'0.4' # The full version, including alpha/beta/rc tags. -release = u'0.3.0' +release = u'0.4.0' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. diff --git a/docs/source/contribute.md b/docs/source/contribute.md index 71a8988..a67fd5e 100644 --- a/docs/source/contribute.md +++ b/docs/source/contribute.md @@ -15,6 +15,7 @@ To package a model with our framework you need to have the following prerequisit - Python 2.7 or Python 3.6 (or higher) - [Docker](https://docs.docker.com/install/) - Clone of the [modelhub-engine repository](https://github.com/modelhub-ai/modelhub-engine.git) (`git clone https://github.com/modelhub-ai/modelhub-engine.git`) +- For GPU support, you need Docker version >= 19.03 and follow the [instructions here](https://github.com/NVIDIA/nvidia-docker#quickstart).

### 1. Prepare Docker image @@ -80,7 +81,7 @@ To package a model with our framework you need to have the following prerequisit 7. Open _contrib_src/inference.py_ and replace the model initialization and inference with your model specific code. The template example shows how to integrate models in ONNX format and running - them in caffe2. If your are using a different model format and/or backend you have to change this. + them in caffe2. If you are using a different model format and/or backend you have to change this. There are only two lines you have to modify. In the `__init__` function change the following line, which loads the model: @@ -90,6 +91,8 @@ To package a model with our framework you need to have the following prerequisit self._model = onnx.load('model/model.onnx') ``` + If your model receives more than one file as input, the `input` argument of `infer` is a dictionary matching the input schema specified in `config.json`. You would then need to pass each individual input through the preprocessing and to your inference function. For example, accessing the input `image_pose` would look like this: `input["image_pose"]["fileurl"]`. +
In the `infer` function change the following line, which runs the model prediction on the input data: ```python diff --git a/docs/source/quickstart.md b/docs/source/quickstart.md index 6ee404f..3831cac 100644 --- a/docs/source/quickstart.md +++ b/docs/source/quickstart.md @@ -7,7 +7,8 @@ But since you are here, follow these steps to get modelhub running on your local 1. **Install Docker** (if not already installed) Follow the [official Docker instructions](https://docs.docker.com/install/) to install Docker CE. - Docker is required to run models. + Docker is required to run models.
+ **GPU Support**: If you want to run models that require GPU acceleration, please use Docker version >= 19.03 and follow the installation instructions for the [Nvidia-Docker Toolkit here](https://github.com/NVIDIA/nvidia-docker#quickstart).

2. **Install Python 2.7 or 3.6 (or higher)** (if not already installed) From c4bd35905166d6cb0b73740574b166c2d0fb20d1 Mon Sep 17 00:00:00 2001 From: Christoph Berger Date: Tue, 17 Sep 2019 12:22:40 -0400 Subject: [PATCH 12/17] adds tests with monkey patching --- framework/modelhubapi/restapi.py | 2 +- framework/modelhubapi_tests/apitestbase.py | 11 -- .../contrib_src_mi/model/config.json | 116 +++++++++--------- .../sample_data/valid_input_list.json | 12 +- .../contrib_src_si/model/config.json | 2 +- framework/modelhubapi_tests/monkeypatches.py | 10 +- framework/modelhubapi_tests/pythonapi_test.py | 3 +- framework/modelhubapi_tests/restapi_test.py | 24 ++-- 8 files changed, 91 insertions(+), 89 deletions(-) diff --git a/framework/modelhubapi/restapi.py b/framework/modelhubapi/restapi.py index 8f26051..c24d29f 100644 --- a/framework/modelhubapi/restapi.py +++ b/framework/modelhubapi/restapi.py @@ -300,7 +300,7 @@ def _check_if_url(self, candidate): elif len(url) == 0: return False else: - raise IOError("Multiple URLs detected in the input!") + raise IOError("Multiple URLs detected in the input json!") def _save_input_from_url(self, url, type): """ diff --git a/framework/modelhubapi_tests/apitestbase.py b/framework/modelhubapi_tests/apitestbase.py index 024b5e1..301914e 100644 --- a/framework/modelhubapi_tests/apitestbase.py +++ b/framework/modelhubapi_tests/apitestbase.py @@ -114,17 +114,6 @@ def _post_predict_request_on_sample_image(self, sample_image_name): content_type = 'multipart/form-data') return response - def _post_predict_request_on_sample_image_mi(self, sample_image_name): - test_filename = self.contrib_src_dir + "/sample_data/" + sample_image_name - extension = os.path.splitext(test_filename)[1] - with open(test_filename, "rb") as f: - image_data = f.read() - response = self.client.post("/api/predict", - data = {'file': (image_data, 'test_image' + extension)}, - content_type = 'multipart/form-data') - return response - - if __name__ == '__main__': unittest.main() diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config.json index ccc3c34..6a1a452 100644 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config.json +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/model/config.json @@ -32,68 +32,68 @@ "learning_type": "None", "io": { "input":{ - "format":["image/png", "application/json", "image/jpg"], - "t1":{ - "type": ["image/png"], - "dim_limits": [ - { - "min": 1, - "max": 4 + "format": ["application/json"], + "t1":{ + "format": ["application/nii-gzip"], + "dim_limits": [ + { + "min": 1, + "max": 155 + }, + { + "min": 1 + }, + { + "min": 1 + } + ] }, - { - "min": 1 + "t1c":{ + "format": ["application/nii-gzip"], + "dim_limits": [ + { + "min": 1, + "max": 155 + }, + { + "min": 1 + }, + { + "min": 1 + } + ] }, - { - "min": 1 - } - ] - }, - "img1":{ - "type": ["image/jpg"], - "dim_limits": [ - { - "min": 1, - "max": 4 - }, - { - "min": 1 - }, - { - "min": 1 - } - ] - }, - "img2":{ - "type": ["image/png"], - "dim_limits": [ - { - "min": 1, - "max": 4 - }, - { - "min": 1 + "t2":{ + "format": ["application/nii-gzip"], + "dim_limits": [ + { + "min": 1, + "max": 155 + }, + { + "min": 1 + }, + { + "min": 1 + } + ] }, - { - "min": 1 + "flair":{ + "format": ["application/nii-gzip"], + "dim_limits": [ + { + "min": 1, + "max": 155 + }, + { + "min": 1 + }, + { + "min": 1 + } + ] } - ] - }, - "flair":{ - "type": ["image/png"], - "dim_limits": [ - { - "min": 1, - "max": 4 - }, - { - "min": 1 - }, - { - "min": 1 - } - ] - } - }, + }, "output": [ { "name": "probabilities", diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json index 6836837..0f4e968 100644 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/valid_input_list.json @@ -1,19 +1,19 @@ { "format":["application/json"], "t1":{ - "format": "[application/gzip]", + "format": "[application/nii-gzip]", "fileurl": "this/path/here" }, "flair":{ - "format": "[application/gzip]", + "format": "[application/nii-gzip]", "fileurl": "http://anythingontheweb.url/dogbrain.nii.gz" }, - "img1":{ - "format":"[image/png]", + "t1c":{ + "format":"[application/nii-gzip]", "fileurl": "/sample_data/testimage_ramp_4x2.png" }, - "img2":{ - "format":"[image/jpg]", + "t2":{ + "format":"[application/nii-gzip]", "fileurl": "/sample_data/testimage_ramp_4x2.jpg" } } diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_si/model/config.json b/framework/modelhubapi_tests/mockmodels/contrib_src_si/model/config.json index dcca7ee..11cac72 100644 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_si/model/config.json +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_si/model/config.json @@ -32,7 +32,7 @@ "learning_type": "None", "io": { "input":{ - "format":["image/png", "application/json", "image/jpg"], + "format":["image/png"], "single":{ "format": ["image/png"], "dim_limits": [ diff --git a/framework/modelhubapi_tests/monkeypatches.py b/framework/modelhubapi_tests/monkeypatches.py index 5cb3a7e..e642768 100644 --- a/framework/modelhubapi_tests/monkeypatches.py +++ b/framework/modelhubapi_tests/monkeypatches.py @@ -1,10 +1,16 @@ from modelhubapi.pythonapi import ModelHubAPI -class Monkey(ModelHubAPI): +class MonkeyPythonAPI(ModelHubAPI): + """ + This class enables monkeypatching of the REST API by + overriding the methods that set the configuration file. + This allows us to use configuration files independently from model + directories during testing which is not needed in production. + """ def __init__(self, model, contrib_src_dir, config): self.monekyconfig = contrib_src_dir + "/model/" + config - super(Monkey, self).__init__(model, contrib_src_dir) + super(MonkeyPythonAPI, self).__init__(model, contrib_src_dir) def get_config(self): return self._load_json(self.monkeyconfig) diff --git a/framework/modelhubapi_tests/pythonapi_test.py b/framework/modelhubapi_tests/pythonapi_test.py index 3d1b7cf..4680387 100644 --- a/framework/modelhubapi_tests/pythonapi_test.py +++ b/framework/modelhubapi_tests/pythonapi_test.py @@ -8,7 +8,7 @@ from .mockmodels.contrib_src_si.inference import ModelReturnsOneNumpyArray from .mockmodels.contrib_src_si.inference import ModelReturnsListOfOneNumpyArray, ModelReturnsListOfOneLabelList from .mockmodels.contrib_src_mi.inference import ModelReturnsOneLabelList, ModelNeedsTwoInputs - +from .monkeypatches import MonkeyPythonAPI class TestModelHubAPI(TestAPIBase): @@ -154,7 +154,6 @@ def setUp(self): self.api = ModelHubAPI(model, contrib_src_dir) - def tearDown(self): pass diff --git a/framework/modelhubapi_tests/restapi_test.py b/framework/modelhubapi_tests/restapi_test.py index 6f23e48..d00cac3 100644 --- a/framework/modelhubapi_tests/restapi_test.py +++ b/framework/modelhubapi_tests/restapi_test.py @@ -6,7 +6,7 @@ from modelhubapi_tests.mockmodels.contrib_src_si.inference import Model from modelhubapi_tests.mockmodels.contrib_src_mi.inference import ModelNeedsTwoInputs from .apitestbase import TestRESTAPIBase -from .monkeypatches import Monkey +from .monkeypatches import MonkeyPythonAPI @@ -180,7 +180,7 @@ def setUp(self): self.setup_self_temp_work_dir() self.setup_self_temp_output_dir() self.setup_self_test_client(ModelNeedsTwoInputs(), self.contrib_src_dir) - self.client.api = Monkey(ModelNeedsTwoInputs(), self.contrib_src_dir, 'config_4_nii.json') + self.client.api = MonkeyPythonAPI(ModelNeedsTwoInputs(), self.contrib_src_dir, 'config_4_nii.json') def tearDown(self): shutil.rmtree(self.temp_work_dir, ignore_errors=True) @@ -194,15 +194,23 @@ def test_get_config_returns_correct_dict(self): self.assert_config_contains_correct_dict(config) def test_working_folder_empty_after_predict_by_url(self): - response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/mi_restapi_test.json") + response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/4_nii_gz_url.json") self.assertEqual(200, response.status_code) self.assertEqual(len(os.listdir(self.temp_work_dir) ), 0) - # def test_predict_sample_returns_expected_mock_prediction(self): - # response = self.client.get("/api/predict_sample?filename=https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/4_nii_mixed.json") - # self.assertEqual(200, response.status_code) - # result = json.loads(response.get_data()) - # self.assertEqual(result["output"][0]["prediction"][0], True) + def test_api_downloads_files_from_url(self): + response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/4_nii_gz_url.json") + self.assertEqual(200, response.status_code) + + def test_api_manages_mix_of_url_and_local_paths(self): + response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/4_nii_gz_mixed.json") + self.assertEqual(200, response.status_code) + + def test_api_rejects_wrong_url_in_json(self): + response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/4_nii_gz_urL_error.json") + self.assertEqual(400, response.status_code) + result = json.loads(response.get_data()) + self.assertIn("error", result) if __name__ == '__main__': unittest.main() From 0b39853869f295e49e20b1cdd9f8dabd8e1f6e91 Mon Sep 17 00:00:00 2001 From: Christoph Berger Date: Wed, 18 Sep 2019 12:45:00 -0400 Subject: [PATCH 13/17] adds lots of documentation on IO --- docs/source/conf.py | 4 +-- docs/source/contribute.md | 16 ++++++---- docs/source/index.rst | 9 +++--- docs/source/modelio.md | 67 +++++++++++++++++++++++++++++++++++++++ 4 files changed, 84 insertions(+), 12 deletions(-) create mode 100644 docs/source/modelio.md diff --git a/docs/source/conf.py b/docs/source/conf.py index 1a2b9b0..5a6d91e 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -59,8 +59,8 @@ # General information about the project. project = u'modelhub' -copyright = u'2018, Ahmed Hosny, Michael Schwier' -author = u'Ahmed Hosny, Michael Schwier' +copyright = u'2019, Ahmed Hosny, Michael Schwier' +author = u'Ahmed Hosny, Michael Schwier, Christoph Berger' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the diff --git a/docs/source/contribute.md b/docs/source/contribute.md index a67fd5e..c7941b9 100644 --- a/docs/source/contribute.md +++ b/docs/source/contribute.md @@ -1,12 +1,12 @@ ## Contribute Your Model to Modelhub -The following figure gives an overview of the necessary steps to packaging your model +The following figure gives an overview of the necessary steps to package your model with the Modelhub framework and eventually contributing it to the Modelhub collection. Read further for detailed explanations of all steps. modelhub contribution steps -**_HINT_** Take a look at an already integrated model to understand how it looks when finished ([AlexNet](https://github.com/modelhub-ai/AlexNet) is a good and simple example). +**_HINT_** Take a look at an already integrated model to understand how it looks when finished ([AlexNet](https://github.com/modelhub-ai/AlexNet) is a good and simple example. If you have a more complex model with more than one input for a single inference, have a look at one of the BraTS models, e.g. [lfb-rwth](https://github.com/modelhub-ai/lfb-rwth)). ### Prerequisites @@ -21,7 +21,7 @@ To package a model with our framework you need to have the following prerequisit ### 1. Prepare Docker image 1. Write a dockerfile preparing/installing all third party dependencies your model needs - (e.g. the deep learning library you are using). Use the `ubuntu:16.04` Docker image as base. + (e.g. the deep learning library you are using). Use the `ubuntu:16.04` Docker image as base. If you want to use CUDA and GPU acceleration, you can also use one of the `nvidia/cuda` images as base. You can find examples of dockerfiles for DL environments in the model repositories of [modelhub-ai on github](https://github.com/modelhub-ai) (e.g. for [squeezenet](https://github.com/modelhub-ai/squeezenet/blob/master/dockerfiles/caffe2)). @@ -44,7 +44,7 @@ To package a model with our framework you need to have the following prerequisit (required if you want to publish your model on Modelhub, so the image can be found when starting a model for the first time. If you don't plan to publish on Modelhub, this step is optional). -- **_NOTE_** We are planning to provide a few pre-build Docker images for the most common deep +- **_NOTE_** We are planning to provide a few pre-built Docker images for the most common deep learning frameworks, so you do not have to build them yourself. For now we only have a small set. You can find the existing [pre-build images on DockerHub](https://hub.docker.com/u/modelhub/) - use the ones that end with '-modelhub' (the ones that don't end with '-modelhub' have only the pure DL environment without @@ -70,6 +70,9 @@ To package a model with our framework you need to have the following prerequisit 4. Populate the configuration file _contrib_src/model/config.json_ with the relevant information about your model. Please refer to the [schema](https://github.com/modelhub-ai/modelhub/blob/master/config_schema.json) for allowed values and structure. +
+ Version 0.4 and up breaks the compatibility with older versions of the schema, please validate your configuration file against the current schema if you are submitting a new model. Old models are still compatible anddon't need to be changed unless you are updating the modelhub-engine version of the Docker image. For single-input models, assign the key `"single"` to your input as in the schema above.

+ **_HINT_** For more details on how to set up your model for various input scenarios and implement your own ImageLoader class, see the [IO Configuration documentation](https://modelhub.readthedocs.io/en/latest/modelio.html).

5. Place your pre-trained model file(s) into the _contrib_src/model/_ folder. @@ -242,7 +245,8 @@ To package a model with our framework you need to have the following prerequisit 2. Run `python start.py YOUR_MODEL_FOLDER_NAME` and check if the web app for your model looks and works as expected. **TODO:** Add info on how to use the web app, because the command just - starts the REST API, which the web frontend is accessing. + starts the REST API, which the web frontend is accessing.
+ **_NOTE_** If your code uses CUDA on a GPU, you have to add the `-g` flag to `start.py` to enforce the use of the GPU version of Docker. This is only required for testing, once your model is added to the index, the right mode (GPU or CPU) is automatically queried. Run `python start.py -h` for more info.

3. Run `python start.py YOUR_MODEL_FOLDER_NAME -e` and check if the jupyter notebook _contrib_src/sandbox.ipynb_ @@ -273,7 +277,7 @@ To package a model with our framework you need to have the following prerequisit 1. `git clone https://github.com/modelhub-ai/modelhub.git` (or update if you cloned already).

-2. Add your model to the model index list _models.json_. +2. Add your model to the model index list _models.json_. If your model needs a GPU to run, add `"gpu" : true` to the parameters for your model. This tells the start script to run the model with GPU acceleration.

3. Send us a pull request. diff --git a/docs/source/index.rst b/docs/source/index.rst index e8c6926..71ac62d 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -6,12 +6,12 @@ Welcome to Modelhub's documentation! ==================================== -Crowdsourced through contributions by the scientific research community, -modelhub is a repository of deep learning models pretrained for a wide variety -of medical applications. Modelhub highlights recent trends in deep learning +Crowdsourced through contributions by the scientific research community, +modelhub is a repository of deep learning models pretrained for a wide variety +of medical applications. Modelhub highlights recent trends in deep learning applications, enables transfer learning approaches and promotes reproducible science. -.. note:: This documentation should contain all essential technical information +.. note:: This documentation should contain all essential technical information about the Modelhub project and how to contribute models. It is, however, still work-in-progress, so possibly you need to be a little patient and persistent. If you find anything unclear, need help, or have @@ -32,6 +32,7 @@ Contents: quickstart overview contribute + modelio modelhubapi modelhublib diff --git a/docs/source/modelio.md b/docs/source/modelio.md new file mode 100644 index 0000000..a8d616e --- /dev/null +++ b/docs/source/modelio.md @@ -0,0 +1,67 @@ +## Modelhub IO Configuration + +### Input Configuration for Single Inputs + +#### As a User +If the model only requires a single image or other type of file for inference, you can simply pass a URL or a path to a local file to the API. For example, you can detect objects using YOLO-v3 by running `python start.py yolo-v3` and then use the API like this: +``` +http://localhost:80/api/predict?fileurl=http://example.org/cutedogsandcats.jpg +``` +The API then returns the prediction in the specified format. + +#### As a Collaborator submitting a new Model +For single inputs, please create a configuration for your model according to the [example configuration](https://github.com/modelhub-ai/modelhub/blob/master/example_config_single_input.json). It is important that you keep the key `"single"` in the config, as the API uses this for accessing the dimension constraints when loading an image. Populate the rest of the configuration file as stated in the contribution guide and the [schema](https://github.com/modelhub-ai/modelhub/blob/master/config_schema.json). Validate your config file against our config schema with a JSON validator, e.g. [this one](https://www.jsonschemavalidator.net).
+Take care to choose the right MIME type for your input, this format will be checked by the API when users call the predict function and load a file. We support a few extra MIME types in addition to the standard MIME types: + + + + + + + +
MIME type  + File extension  + Description  +
"application/nii"  + .nii  + Nifti-1 image  +
"application/nii-gzip"  + .nii.gz  + Compressed Nifti-1 image  +
"application/nrrd"  + .nrrd  + NRRD image  +
+ + +

+If you need other types not supported in the standard MIME types and by our extension, please open an [issue on Github](https://github.com/modelhub-ai/modelhub/issues). +

+ +### Input Configuration for Multiple Inputs + +#### As a User +When you use a model that needs more than a single input file for a prediction, you have to pass a JSON file with all the inputs needed for that model. You can have a look at an example [here](https://github.com/modelhub-ai/modelhub/blob/master/example_input_file_multiple_inputs.json).
+The important points to keep in mind are: +- There has to be a `format` key with `"application/json"` so that the API can handle the file +- Each of the other keys describes one input and has to have a `format` (see the MIME types above) and a `fileurl` + +

+The `fileurl` can contain a path to a local file (which has to be accessible by the Docker container running the model) or can contain a URL to a file on the web. The REST API can handle both and a mixture of local and web links while the Python API can only access local paths.
+Passing an input file to the REST API would then look like this: +``` +http://localhost:80/api/predict?fileurl=http://example.org/fourimagesofdogs.json +``` +

+#### As a Collaborator submitting a new Model +For multiple inputs, please create a configuration for your model according to the [example configuration](https://github.com/modelhub-ai/modelhub/blob/master/example_config_multiple_inputs.json). The `format` key has to be present at the `input` level and must be equal to `application/json` as all input files will be passed in a json to the API. +
+The other keys stand for one input file each and must contain a valid format (e.g. `application/dicom`) and dimensions. You can additionally add a description for the input. +
+Populate the rest of the configuration file as stated in the contribution guide and the [schema](https://github.com/modelhub-ai/modelhub/blob/master/config_schema.json). Validate your config file against our config schema with a JSON validator, e.g. [this one](https://www.jsonschemavalidator.net).

+To access the files passed to your model in the `infer` function, use the keys you specified in the configuration and in the input json file. For example, suppose you have an input with key `t1`: You can access the path the the file in `infer` by using the passed dictionary: `input["t1"]["fileurl"]`. This way you can always be sure that you are accessing the right file.

+**_HINT_** You can implement additional classes for the loading of your images by adding your own class that extends the `ImageLoader` class and add it to the chain of responsibility for loading the images. One good example is the [lfb-rwth](https://github.com/modelhub-ai/lfb-rwth) model. +

+Additionally, mismatches between the config file and the input file the user passes to the API are automatically checked before the input is passed to your model. +

+**_HINT_** Check out existing models with multiple inputs to see how they implemented the input handling of multiple inputs, for example one of the BraTS models, e.g. [lfb-rwth](https://github.com/modelhub-ai/lfb-rwth). From fb86bbca79bcb4999cab9846efb21f0221e90e2c Mon Sep 17 00:00:00 2001 From: Christoph Berger Date: Thu, 19 Sep 2019 15:17:14 -0400 Subject: [PATCH 14/17] modifies docs --- docs/source/modelio.md | 25 ++++++++++++++++--------- 1 file changed, 16 insertions(+), 9 deletions(-) diff --git a/docs/source/modelio.md b/docs/source/modelio.md index a8d616e..d5dfde2 100644 --- a/docs/source/modelio.md +++ b/docs/source/modelio.md @@ -7,7 +7,7 @@ If the model only requires a single image or other type of file for inference, y ``` http://localhost:80/api/predict?fileurl=http://example.org/cutedogsandcats.jpg ``` -The API then returns the prediction in the specified format. +The API then returns the prediction in the specified format. For a thorough description of the API, have a look at its [documentation](https://modelhub.readthedocs.io/en/latest/modelhubapi.html).

#### As a Collaborator submitting a new Model For single inputs, please create a configuration for your model according to the [example configuration](https://github.com/modelhub-ai/modelhub/blob/master/example_config_single_input.json). It is important that you keep the key `"single"` in the config, as the API uses this for accessing the dimension constraints when loading an image. Populate the rest of the configuration file as stated in the contribution guide and the [schema](https://github.com/modelhub-ai/modelhub/blob/master/config_schema.json). Validate your config file against our config schema with a JSON validator, e.g. [this one](https://www.jsonschemavalidator.net).
@@ -15,22 +15,26 @@ Take care to choose the right MIME type for your input, this format will be chec - +
MIME type  - File extension  - Description  + MIME type  + File extension  + Description 
"application/nii"  - .nii  + .nii    Nifti-1 image 
"application/nii-gzip"  - .nii.gz  + .nii.gz    Compressed Nifti-1 image 
"application/nrrd"  - .nrrd  + .nrrd    NRRD image  +
"application/octet-stream"  + .npy    + Numpy Array File 
@@ -52,7 +56,10 @@ Passing an input file to the REST API would then look like this: ``` http://localhost:80/api/predict?fileurl=http://example.org/fourimagesofdogs.json ``` +For a thorough description of the API, have a look at its [documentation](https://modelhub.readthedocs.io/en/latest/modelhubapi.html).

+ + #### As a Collaborator submitting a new Model For multiple inputs, please create a configuration for your model according to the [example configuration](https://github.com/modelhub-ai/modelhub/blob/master/example_config_multiple_inputs.json). The `format` key has to be present at the `input` level and must be equal to `application/json` as all input files will be passed in a json to the API.
@@ -60,8 +67,8 @@ The other keys stand for one input file each and must contain a valid format (e.
Populate the rest of the configuration file as stated in the contribution guide and the [schema](https://github.com/modelhub-ai/modelhub/blob/master/config_schema.json). Validate your config file against our config schema with a JSON validator, e.g. [this one](https://www.jsonschemavalidator.net).

To access the files passed to your model in the `infer` function, use the keys you specified in the configuration and in the input json file. For example, suppose you have an input with key `t1`: You can access the path the the file in `infer` by using the passed dictionary: `input["t1"]["fileurl"]`. This way you can always be sure that you are accessing the right file.

-**_HINT_** You can implement additional classes for the loading of your images by adding your own class that extends the `ImageLoader` class and add it to the chain of responsibility for loading the images. One good example is the [lfb-rwth](https://github.com/modelhub-ai/lfb-rwth) model. +**_HINT_** You can implement additional classes for the loading of your images by adding your own class that extends the `ImageLoader` class and add it to the chain of responsibility for loading the images. One good example is the [lfb-rwth-brats](https://github.com/modelhub-ai/lfb-rwth-brats) model.

Additionally, mismatches between the config file and the input file the user passes to the API are automatically checked before the input is passed to your model.

-**_HINT_** Check out existing models with multiple inputs to see how they implemented the input handling of multiple inputs, for example one of the BraTS models, e.g. [lfb-rwth](https://github.com/modelhub-ai/lfb-rwth). +**_HINT_** Check out existing models with multiple inputs to see how they implemented the input handling of multiple inputs, for example one of the BraTS models, e.g. [lfb-rwth-brats](https://github.com/modelhub-ai/lfb-rwth-brats). From c65ed76c4865e35548ab05a68cd1585c39ec43dd Mon Sep 17 00:00:00 2001 From: Christoph Berger Date: Thu, 19 Sep 2019 16:53:40 -0400 Subject: [PATCH 15/17] removes MonkeyAPI test and applies direct monkeypatching instead --- Dockerfile_modelhub | 3 ++- framework/modelhubapi_tests/monkeypatches.py | 16 ---------------- framework/modelhubapi_tests/restapi_test.py | 9 +++++++-- 3 files changed, 9 insertions(+), 19 deletions(-) delete mode 100644 framework/modelhubapi_tests/monkeypatches.py diff --git a/Dockerfile_modelhub b/Dockerfile_modelhub index b7734ac..d41febc 100644 --- a/Dockerfile_modelhub +++ b/Dockerfile_modelhub @@ -36,4 +36,5 @@ WORKDIR /output WORKDIR /contrib_src # Run /data/run.py when the container launches -CMD ["python", "run.py"] +# If you need Python2, change this command: +CMD ["python3", "run.py"] diff --git a/framework/modelhubapi_tests/monkeypatches.py b/framework/modelhubapi_tests/monkeypatches.py deleted file mode 100644 index e642768..0000000 --- a/framework/modelhubapi_tests/monkeypatches.py +++ /dev/null @@ -1,16 +0,0 @@ -from modelhubapi.pythonapi import ModelHubAPI - -class MonkeyPythonAPI(ModelHubAPI): - """ - This class enables monkeypatching of the REST API by - overriding the methods that set the configuration file. - This allows us to use configuration files independently from model - directories during testing which is not needed in production. - """ - - def __init__(self, model, contrib_src_dir, config): - self.monekyconfig = contrib_src_dir + "/model/" + config - super(MonkeyPythonAPI, self).__init__(model, contrib_src_dir) - - def get_config(self): - return self._load_json(self.monkeyconfig) diff --git a/framework/modelhubapi_tests/restapi_test.py b/framework/modelhubapi_tests/restapi_test.py index d00cac3..4e1c06f 100644 --- a/framework/modelhubapi_tests/restapi_test.py +++ b/framework/modelhubapi_tests/restapi_test.py @@ -6,7 +6,7 @@ from modelhubapi_tests.mockmodels.contrib_src_si.inference import Model from modelhubapi_tests.mockmodels.contrib_src_mi.inference import ModelNeedsTwoInputs from .apitestbase import TestRESTAPIBase -from .monkeypatches import MonkeyPythonAPI +from modelhubapi import ModelHubAPI @@ -180,13 +180,18 @@ def setUp(self): self.setup_self_temp_work_dir() self.setup_self_temp_output_dir() self.setup_self_test_client(ModelNeedsTwoInputs(), self.contrib_src_dir) - self.client.api = MonkeyPythonAPI(ModelNeedsTwoInputs(), self.contrib_src_dir, 'config_4_nii.json') + self.client.api = ModelHubAPI(ModelNeedsTwoInputs(), self.contrib_src_dir) + self.client.api.get_config = self.monkeyconfig() def tearDown(self): shutil.rmtree(self.temp_work_dir, ignore_errors=True) shutil.rmtree(self.temp_output_dir, ignore_errors=True) pass + # this can change the config on the fly + def monkeyconfig(self): + return self.client.api._load_json(self.contrib_src_dir + '/model/config_4_nii.json') + def test_get_config_returns_correct_dict(self): response = self.client.get("/api/get_config") self.assertEqual(200, response.status_code) From 7419ae30677c41b5c4e08cf3bb8abf8520ba7541 Mon Sep 17 00:00:00 2001 From: Christoph Berger Date: Thu, 19 Sep 2019 17:10:45 -0400 Subject: [PATCH 16/17] fixes test error and adds sample files --- .../contrib_src_mi/sample_data/2_jpg_url.json | 11 ++++++++++ .../sample_data/4_nii_gz_dcm_mixed.json | 19 ++++++++++++++++++ .../sample_data/4_nii_gz_mixed.json | 19 ++++++++++++++++++ .../sample_data/4_nii_gz_url.json | 19 ++++++++++++++++++ .../sample_data/4_nii_gz_url_error.json | 19 ++++++++++++++++++ .../contrib_src_mi/sample_data/4_nii_url.json | 19 ++++++++++++++++++ .../sample_data/mi_restapi_test.json | 19 ++++++++++++++++++ .../sample_data/sample_nii_gz.json | 19 ++++++++++++++++++ .../sample_data/testimage_dicom_256x256.dcm | Bin 0 -> 98954 bytes .../sample_data/testimage_nifti_91x109x91.nii | Bin 0 -> 902981 bytes .../testimage_nifti_91x109x91.nii.gz | Bin 0 -> 531671 bytes .../sample_data/testimage_ramp_4x2.nrrd | Bin 0 -> 282 bytes framework/modelhubapi_tests/pythonapi_test.py | 1 - framework/modelhubapi_tests/restapi_test.py | 16 +++++++++++---- 14 files changed, 156 insertions(+), 5 deletions(-) create mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/2_jpg_url.json create mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_dcm_mixed.json create mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_mixed.json create mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_url.json create mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_url_error.json create mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_url.json create mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/mi_restapi_test.json create mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/sample_nii_gz.json create mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/testimage_dicom_256x256.dcm create mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/testimage_nifti_91x109x91.nii create mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/testimage_nifti_91x109x91.nii.gz create mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/testimage_ramp_4x2.nrrd diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/2_jpg_url.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/2_jpg_url.json new file mode 100644 index 0000000..799c8e0 --- /dev/null +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/2_jpg_url.json @@ -0,0 +1,11 @@ +{ + "format": ["application/json"], + "img1":{ + "type":["image/jpeg"], + "fileurl":"http://www.desibucket.com/db2/01/20483/20483.jpg" + }, + "img2":{ + "type":["image/jpeg"], + "fileurl":"http://www.desibucket.com/db2/01/20483/20483.jpg" + } +} diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_dcm_mixed.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_dcm_mixed.json new file mode 100644 index 0000000..18de8fa --- /dev/null +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_dcm_mixed.json @@ -0,0 +1,19 @@ +{ + "format": ["application/json"], + "t1": { + "type": ["application/nii-gzip"], + "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii" + }, + "t1c": { + "type": ["application/nii-gzip"], + "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii.gz" + }, + "t2": { + "type": ["application/nii-gzip"], + "fileurl":"sample_data/patient_1/flair.nii.gz" + }, + "flair": { + "type": ["application/dicom"], + "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_dicom_256x256.dcm" + } +} diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_mixed.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_mixed.json new file mode 100644 index 0000000..855670d --- /dev/null +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_mixed.json @@ -0,0 +1,19 @@ +{ + "format": ["application/json"], + "t1": { + "type": ["application/nii-gzip"], + "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii" + }, + "t1c": { + "type": ["application/nii-gzip"], + "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii.gz" + }, + "t2": { + "type": ["application/nii-gzip"], + "fileurl":"sample_data/patient_1/flair.nii.gz" + }, + "flair": { + "type": ["application/nii-gzip"], + "fileurl":"sample_data/patient_1/t1.nii.gz" + } +} diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_url.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_url.json new file mode 100644 index 0000000..09e3f77 --- /dev/null +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_url.json @@ -0,0 +1,19 @@ +{ + "format": ["application/json"], + "t1": { + "type": ["application/nii-gzip"], + "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii.gz" + }, + "t1c": { + "type": ["application/nii-gzip"], + "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii.gz" + }, + "t2": { + "type": ["application/nii-gzip"], + "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii.gz" + }, + "flair": { + "type": ["application/nii-gzip"], + "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii.gz" + } +} diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_url_error.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_url_error.json new file mode 100644 index 0000000..fc99731 --- /dev/null +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_url_error.json @@ -0,0 +1,19 @@ +{ + "format": ["application/json"], + "t1": { + "type": ["application/nii-gzip"], + "fileurl":"http://www.google.com/image.nii https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii.gz" + }, + "t1c": { + "type": ["application/nii-gzip"], + "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii.gz" + }, + "t2": { + "type": ["application/nii-gzip"], + "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii.gz" + }, + "flair": { + "type": ["application/nii-gzip"], + "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii.gz" + } +} diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_url.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_url.json new file mode 100644 index 0000000..e19df8e --- /dev/null +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_url.json @@ -0,0 +1,19 @@ +{ + "format": ["application/json"], + "t1": { + "type": ["application/nii"], + "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii" + }, + "t1c": { + "type": ["application/nii"], + "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii" + }, + "t2": { + "type": ["application/nii"], + "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii" + }, + "flair": { + "type": ["application/nii"], + "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii" + } +} diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/mi_restapi_test.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/mi_restapi_test.json new file mode 100644 index 0000000..9c1d36c --- /dev/null +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/mi_restapi_test.json @@ -0,0 +1,19 @@ +{ + "format":["application/json"], + "t1":{ + "type": "[application/nii-gzip]", + "fileurl": "this/path/here" + }, + "flair":{ + "type": "[application/nii-gzip]", + "fileurl": "notaurl/" + }, + "img1":{ + "type":"[image/png]", + "fileurl": "/sample_data/testimage_ramp_4x2.png" + }, + "img2":{ + "type":"[image/jepg]", + "fileurl": "/sample_data/testimage_ramp_4x2.jpg" + } +} diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/sample_nii_gz.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/sample_nii_gz.json new file mode 100644 index 0000000..f456f02 --- /dev/null +++ b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/sample_nii_gz.json @@ -0,0 +1,19 @@ +{ + "format": ["application/json"], + "t1": { + "type": ["application/nii-gzip"], + "fileurl":"sample_data/patient_1/t1.nii.gz" + }, + "t1c": { + "type": ["application/nii-gzip"], + "fileurl":"sample_data/patient_1/t1ce.nii.gz" + }, + "t2": { + "type": ["application/nii-gzip"], + "fileurl":"sample_data/patient_1/t2.nii.gz" + }, + "flair": { + "type": ["application/nii-gzip"], + 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z8?0uBeLx;U&UX0S?PvCj;Mar-j-ikXXu-@n3rij=h(W=a9( NTD@Q2zK!#leFI-lS#|&b literal 0 HcmV?d00001 diff --git a/framework/modelhubapi_tests/pythonapi_test.py b/framework/modelhubapi_tests/pythonapi_test.py index 4680387..c6ffae8 100644 --- a/framework/modelhubapi_tests/pythonapi_test.py +++ b/framework/modelhubapi_tests/pythonapi_test.py @@ -8,7 +8,6 @@ from .mockmodels.contrib_src_si.inference import ModelReturnsOneNumpyArray from .mockmodels.contrib_src_si.inference import ModelReturnsListOfOneNumpyArray, ModelReturnsListOfOneLabelList from .mockmodels.contrib_src_mi.inference import ModelReturnsOneLabelList, ModelNeedsTwoInputs -from .monkeypatches import MonkeyPythonAPI class TestModelHubAPI(TestAPIBase): diff --git a/framework/modelhubapi_tests/restapi_test.py b/framework/modelhubapi_tests/restapi_test.py index 4e1c06f..3d1880b 100644 --- a/framework/modelhubapi_tests/restapi_test.py +++ b/framework/modelhubapi_tests/restapi_test.py @@ -198,21 +198,29 @@ def test_get_config_returns_correct_dict(self): config = json.loads(response.get_data()) self.assert_config_contains_correct_dict(config) + # TODO this is not so nice yet, test should not require a download from the inet + # should probably use a mock server for this def test_working_folder_empty_after_predict_by_url(self): - response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/4_nii_gz_url.json") + response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/modelhub-ai/modelhub-engine/master/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_url.json") self.assertEqual(200, response.status_code) self.assertEqual(len(os.listdir(self.temp_work_dir) ), 0) + # TODO this is not so nice yet, test should not require a download from the inet + # should probably use a mock server for this def test_api_downloads_files_from_url(self): - response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/4_nii_gz_url.json") + response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/modelhub-ai/modelhub-engine/master/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_url.json") self.assertEqual(200, response.status_code) + # TODO this is not so nice yet, test should not require a download from the inet + # should probably use a mock server for this def test_api_manages_mix_of_url_and_local_paths(self): - response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/4_nii_gz_mixed.json") + response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/modelhub-ai/modelhub-engine/master/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_mixed.json") self.assertEqual(200, response.status_code) + # TODO this is not so nice yet, test should not require a download from the inet + # should probably use a mock server for this def test_api_rejects_wrong_url_in_json(self): - response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/4_nii_gz_urL_error.json") + response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/modelhub-ai/modelhub-engine/master/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_urL_error.json") self.assertEqual(400, response.status_code) result = json.loads(response.get_data()) self.assertIn("error", result) From 3d55c2871f4c75268f662c6cb98958a75125d6e0 Mon Sep 17 00:00:00 2001 From: Christoph Berger Date: Thu, 19 Sep 2019 17:14:48 -0400 Subject: [PATCH 17/17] fixes test error and removes redundant files --- .../contrib_src_mi/sample_data/2_jpg_url.json | 11 - .../sample_data/4_nii_gz_dcm_mixed.json | 19 -- .../contrib_src_mi/sample_data/4_nii_url.json | 19 -- .../sample_data/mi_restapi_test.json | 19 -- .../sample_data/sample_nii_gz.json | 19 -- .../sample_data/testimage_dicom_256x256.dcm | Bin 98954 -> 0 bytes .../sample_data/testimage_nifti_91x109x91.nii | Bin 902981 -> 0 bytes .../testimage_nifti_91x109x91.nii.gz | Bin 531671 -> 0 bytes .../sample_data/testimage_ramp_4x2.nrrd | Bin 282 -> 0 bytes framework/modelhubapi_tests/restapi_test.py | 229 ------------------ 10 files changed, 316 deletions(-) delete mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/2_jpg_url.json delete mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_dcm_mixed.json delete mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_url.json delete mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/mi_restapi_test.json delete mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/sample_nii_gz.json delete mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/testimage_dicom_256x256.dcm delete mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/testimage_nifti_91x109x91.nii delete mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/testimage_nifti_91x109x91.nii.gz delete mode 100644 framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/testimage_ramp_4x2.nrrd delete mode 100644 framework/modelhubapi_tests/restapi_test.py diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/2_jpg_url.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/2_jpg_url.json deleted file mode 100644 index 799c8e0..0000000 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/2_jpg_url.json +++ /dev/null @@ -1,11 +0,0 @@ -{ - "format": ["application/json"], - "img1":{ - "type":["image/jpeg"], - "fileurl":"http://www.desibucket.com/db2/01/20483/20483.jpg" - }, - "img2":{ - "type":["image/jpeg"], - "fileurl":"http://www.desibucket.com/db2/01/20483/20483.jpg" - } -} diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_dcm_mixed.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_dcm_mixed.json deleted file mode 100644 index 18de8fa..0000000 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_dcm_mixed.json +++ /dev/null @@ -1,19 +0,0 @@ -{ - "format": ["application/json"], - "t1": { - "type": ["application/nii-gzip"], - "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii" - }, - "t1c": { - "type": ["application/nii-gzip"], - "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii.gz" - }, - "t2": { - "type": ["application/nii-gzip"], - "fileurl":"sample_data/patient_1/flair.nii.gz" - }, - "flair": { - "type": ["application/dicom"], - "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_dicom_256x256.dcm" - } -} diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_url.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_url.json deleted file mode 100644 index e19df8e..0000000 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_url.json +++ /dev/null @@ -1,19 +0,0 @@ -{ - "format": ["application/json"], - "t1": { - "type": ["application/nii"], - "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii" - }, - "t1c": { - "type": ["application/nii"], - "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii" - }, - "t2": { - "type": ["application/nii"], - "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii" - }, - "flair": { - "type": ["application/nii"], - "fileurl":"https://raw.githubusercontent.com/christophbrgr/modelhub-tests/master/testimage_nifti_91x109x91.nii" - } -} diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/mi_restapi_test.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/mi_restapi_test.json deleted file mode 100644 index 9c1d36c..0000000 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/mi_restapi_test.json +++ /dev/null @@ -1,19 +0,0 @@ -{ - "format":["application/json"], - "t1":{ - "type": "[application/nii-gzip]", - "fileurl": "this/path/here" - }, - "flair":{ - "type": "[application/nii-gzip]", - "fileurl": "notaurl/" - }, - "img1":{ - "type":"[image/png]", - "fileurl": "/sample_data/testimage_ramp_4x2.png" - }, - "img2":{ - "type":"[image/jepg]", - "fileurl": "/sample_data/testimage_ramp_4x2.jpg" - } -} diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/sample_nii_gz.json b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/sample_nii_gz.json deleted file mode 100644 index f456f02..0000000 --- a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/sample_nii_gz.json +++ /dev/null @@ -1,19 +0,0 @@ -{ - "format": ["application/json"], - "t1": { - "type": ["application/nii-gzip"], - "fileurl":"sample_data/patient_1/t1.nii.gz" - }, - "t1c": { - "type": ["application/nii-gzip"], - "fileurl":"sample_data/patient_1/t1ce.nii.gz" - }, - "t2": { - "type": ["application/nii-gzip"], - "fileurl":"sample_data/patient_1/t2.nii.gz" - }, - "flair": { - "type": ["application/nii-gzip"], - "fileurl":"sample_data/patient_1/flair.nii.gz" - } -} diff --git a/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/testimage_dicom_256x256.dcm b/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/testimage_dicom_256x256.dcm deleted file mode 100644 index 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z8?0uBeLx;U&UX0S?PvCj;Mar-j-ikXXu-@n3rij=h(W=a9( NTD@Q2zK!#leFI-lS#|&b diff --git a/framework/modelhubapi_tests/restapi_test.py b/framework/modelhubapi_tests/restapi_test.py deleted file mode 100644 index 3d1880b..0000000 --- a/framework/modelhubapi_tests/restapi_test.py +++ /dev/null @@ -1,229 +0,0 @@ -import os -import io -from zipfile import ZipFile -import shutil -import json -from modelhubapi_tests.mockmodels.contrib_src_si.inference import Model -from modelhubapi_tests.mockmodels.contrib_src_mi.inference import ModelNeedsTwoInputs -from .apitestbase import TestRESTAPIBase -from modelhubapi import ModelHubAPI - - - -class TestModelHubRESTAPI_SI(TestRESTAPIBase): - - def setUp(self): - self.this_dir = os.path.dirname(os.path.realpath(__file__)) - self.contrib_src_dir = os.path.join(self.this_dir, "mockmodels", "contrib_src_si") - self.setup_self_temp_work_dir() - self.setup_self_temp_output_dir() - self.setup_self_test_client(Model(), self.contrib_src_dir) - - def tearDown(self): - shutil.rmtree(self.temp_work_dir, ignore_errors=True) - shutil.rmtree(self.temp_output_dir, ignore_errors=True) - pass - - def test_get_config_returns_correct_dict(self): - response = self.client.get("/api/get_config") - self.assertEqual(200, response.status_code) - config = json.loads(response.get_data()) - self.assert_config_contains_correct_dict(config) - - - def test_get_legal_returns_expected_keys(self): - response = self.client.get("/api/get_legal") - self.assertEqual(200, response.status_code) - legal = json.loads(response.get_data()) - self.assert_legal_contains_expected_keys(legal) - - - def test_get_legal_returns_expected_mock_values(self): - response = self.client.get("/api/get_legal") - self.assertEqual(200, response.status_code) - legal = json.loads(response.get_data()) - self.assert_legal_contains_expected_mock_values(legal) - - - def test_get_model_io_returns_expected_mock_values(self): - response = self.client.get("/api/get_model_io") - self.assertEqual(200, response.status_code) - model_io = json.loads(response.get_data()) - self.assert_model_io_contains_expected_mock_values(model_io) - - - def test_get_samples_returns_path_to_mock_samples(self): - response = self.client.get("/api/get_samples") - self.assertEqual(200, response.status_code) - samples = json.loads(response.get_data()) - samples.sort() - self.assertListEqual(["http://localhost/api/samples/testimage_ramp_4x2.jpg", - "http://localhost/api/samples/testimage_ramp_4x2.png"], - samples) - - - def test_samples_routes_correct(self): - response = self.client.get("/api/samples/testimage_ramp_4x2.png") - self.assertEqual(200, response.status_code) - self.assertEqual("image/png", response.content_type) - - - def test_thumbnail_routes_correct(self): - response = self.client.get("/api/thumbnail/thumbnail.jpg") - self.assertEqual(200, response.status_code) - self.assertEqual("image/jpeg", response.content_type) - - - def test_get_model_files_returns_zip(self): - response = self.client.get("/api/get_model_files") - self.assertEqual(200, response.status_code) - self.assertEqual("application/zip", response.content_type) - - - def test_get_model_files_returned_zip_has_mock_content(self): - response = self.client.get("/api/get_model_files") - self.assertEqual(200, response.status_code) - test_zip_name = self.temp_work_dir + "/test_response.zip" - with open(test_zip_name, "wb") as test_file: - test_file.write(response.get_data()) - with ZipFile(test_zip_name, "r") as test_zip: - reference_content = ["model/", - "model/model.txt", - "model/config.json", - "model/thumbnail.jpg"] - reference_content.sort() - zip_content = test_zip.namelist() - zip_content.sort() - self.assertListEqual(reference_content, zip_content) - self.assertEqual(b"EMPTY MOCK MODEL FOR UNIT TESTING", - test_zip.read("model/model.txt")) - - - def test_predict_by_post_returns_expected_mock_prediction(self): - response = self._post_predict_request_on_sample_image("testimage_ramp_4x2.png") - self.assertEqual(200, response.status_code) - result = json.loads(response.get_data()) - self.assert_predict_contains_expected_mock_prediction(result) - - - def test_predict_by_post_returns_expected_mock_meta_info(self): - response = self._post_predict_request_on_sample_image("testimage_ramp_4x2.png") - self.assertEqual(200, response.status_code) - result = json.loads(response.get_data()) - self.assert_predict_contains_expected_mock_meta_info(result) - - - def test_predict_by_post_returns_error_on_unsupported_file_type(self): - response = self._post_predict_request_on_sample_image("testimage_ramp_4x2.jpg") - self.assertEqual(400, response.status_code) - result = json.loads(response.get_data()) - self.assertIn("error", result) - self.assertIn("Incorrect file type.", result["error"]) - - - def test_working_folder_empty_after_predict_by_post(self): - response = self._post_predict_request_on_sample_image("testimage_ramp_4x2.png") - self.assertEqual(200, response.status_code) - self.assertEqual(len(os.listdir(self.temp_work_dir) ), 0) - - - # TODO this is not so nice yet, test should not require a download from the inet - # should probably use a mock server for this - def test_predict_by_url_returns_expected_mock_prediction(self): - response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/modelhub-ai/modelhub-docker/master/framework/modelhublib_tests/testdata/testimage_ramp_4x2.png") - self.assertEqual(200, response.status_code) - result = json.loads(response.get_data()) - self.assert_predict_contains_expected_mock_prediction(result) - - - # TODO this is not so nice yet, test should not require a download from the inet - # should probably use a mock server for this - def test_predict_by_url_returns_expected_mock_meta_info(self): - response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/modelhub-ai/modelhub-docker/master/framework/modelhublib_tests/testdata/testimage_ramp_4x2.png") - self.assertEqual(200, response.status_code) - result = json.loads(response.get_data()) - self.assert_predict_contains_expected_mock_meta_info(result) - - - # TODO this is not so nice yet, test should not require a download from the inet - # should probably use a mock server for this - def test_predict_by_url_returns_error_on_unsupported_file_type(self): - response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/modelhub-ai/modelhub-docker/master/framework/modelhublib_tests/testdata/testimage_ramp_4x2.jpg") - self.assertEqual(400, response.status_code) - result = json.loads(response.get_data()) - self.assertIn("error", result) - self.assertIn("Incorrect file type.", result["error"]) - - - def test_working_folder_empty_after_predict_by_url(self): - response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/modelhub-ai/modelhub-docker/master/framework/modelhublib_tests/testdata/testimage_ramp_4x2.png") - self.assertEqual(200, response.status_code) - self.assertEqual(len(os.listdir(self.temp_work_dir) ), 0) - - - def test_predict_sample_returns_expected_mock_prediction(self): - response = self.client.get("/api/predict_sample?filename=testimage_ramp_4x2.png") - self.assertEqual(200, response.status_code) - result = json.loads(response.get_data()) - self.assert_predict_contains_expected_mock_prediction(result) - - - def test_predict_sample_on_invalid_file_returns_error(self): - response = self.client.get("/api/predict_sample?filename=NON_EXISTENT.png") - self.assertEqual(400, response.status_code) - -class TestModelHubRESTAPI_MI(TestRESTAPIBase): - - def setUp(self): - self.this_dir = os.path.dirname(os.path.realpath(__file__)) - self.contrib_src_dir = os.path.join(self.this_dir, "mockmodels", "contrib_src_mi") - self.setup_self_temp_work_dir() - self.setup_self_temp_output_dir() - self.setup_self_test_client(ModelNeedsTwoInputs(), self.contrib_src_dir) - self.client.api = ModelHubAPI(ModelNeedsTwoInputs(), self.contrib_src_dir) - self.client.api.get_config = self.monkeyconfig() - - def tearDown(self): - shutil.rmtree(self.temp_work_dir, ignore_errors=True) - shutil.rmtree(self.temp_output_dir, ignore_errors=True) - pass - - # this can change the config on the fly - def monkeyconfig(self): - return self.client.api._load_json(self.contrib_src_dir + '/model/config_4_nii.json') - - def test_get_config_returns_correct_dict(self): - response = self.client.get("/api/get_config") - self.assertEqual(200, response.status_code) - config = json.loads(response.get_data()) - self.assert_config_contains_correct_dict(config) - - # TODO this is not so nice yet, test should not require a download from the inet - # should probably use a mock server for this - def test_working_folder_empty_after_predict_by_url(self): - response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/modelhub-ai/modelhub-engine/master/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_url.json") - self.assertEqual(200, response.status_code) - self.assertEqual(len(os.listdir(self.temp_work_dir) ), 0) - - # TODO this is not so nice yet, test should not require a download from the inet - # should probably use a mock server for this - def test_api_downloads_files_from_url(self): - response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/modelhub-ai/modelhub-engine/master/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_url.json") - self.assertEqual(200, response.status_code) - - # TODO this is not so nice yet, test should not require a download from the inet - # should probably use a mock server for this - def test_api_manages_mix_of_url_and_local_paths(self): - response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/modelhub-ai/modelhub-engine/master/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_mixed.json") - self.assertEqual(200, response.status_code) - - # TODO this is not so nice yet, test should not require a download from the inet - # should probably use a mock server for this - def test_api_rejects_wrong_url_in_json(self): - response = self.client.get("/api/predict?fileurl=https://raw.githubusercontent.com/modelhub-ai/modelhub-engine/master/framework/modelhubapi_tests/mockmodels/contrib_src_mi/sample_data/4_nii_gz_urL_error.json") - self.assertEqual(400, response.status_code) - result = json.loads(response.get_data()) - self.assertIn("error", result) - -if __name__ == '__main__': - unittest.main()

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