├── MANIFEST.in ├── .gitignore ├── setup.cfg ├── openscoring ├── tests │ ├── resources │ │ ├── input.csv │ │ └── DecisionTreeIris.pmml │ ├── test_util.py │ └── test_openscoring.py ├── metadata.py ├── util.py ├── common.py └── __init__.py ├── .github └── workflows │ └── publish.yml ├── setup.py ├── README.md └── LICENSE.txt /MANIFEST.in: -------------------------------------------------------------------------------- 1 | include LICENSE.txt 2 | exclude README.md -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | build/ 2 | dist/ 3 | __pycache__/ 4 | MANIFEST -------------------------------------------------------------------------------- /setup.cfg: -------------------------------------------------------------------------------- 1 | [metadata] 2 | description-file = README.md 3 | -------------------------------------------------------------------------------- /openscoring/tests/resources/input.csv: -------------------------------------------------------------------------------- 1 | Id,Sepal.Length,Sepal.Width,Petal.Length,Petal.Width 2 | record-001,5.1,3.5,1.4,0.2 3 | record-002,7,3.2,4.7,1.4 4 | record-003,6.3,3.3,6,2.5 -------------------------------------------------------------------------------- /openscoring/metadata.py: -------------------------------------------------------------------------------- 1 | __copyright__ = "Copyright (c) 2015 Villu Ruusmann" 2 | __license__ = "GNU Affero General Public License (AGPL) version 3.0" 3 | __version__ = "0.8.0.post1" 4 | -------------------------------------------------------------------------------- /openscoring/util.py: -------------------------------------------------------------------------------- 1 | def _merge_dicts(user_dict, **system_dict): 2 | if user_dict is None: 3 | return system_dict 4 | for key in system_dict: 5 | system_value = system_dict[key] 6 | if key in user_dict: 7 | user_value = user_dict[key] 8 | if isinstance(user_value, dict) and isinstance(system_value, dict): 9 | user_value.update(system_value) 10 | elif user_value == system_value: 11 | pass 12 | else: 13 | raise ValueError("Key {} has differing values {} and {}".format(key, user_value, system_value)) 14 | else: 15 | user_dict[key] = system_value 16 | return user_dict 17 | -------------------------------------------------------------------------------- /.github/workflows/publish.yml: -------------------------------------------------------------------------------- 1 | name: publish 2 | 3 | on: 4 | push: 5 | tags: 6 | - '*' 7 | 8 | jobs: 9 | publish: 10 | runs-on: ubuntu-latest 11 | 12 | steps: 13 | - uses: actions/checkout@v4 14 | - uses: actions/setup-python@v5 15 | with: 16 | python-version: '3.10' 17 | - run: | 18 | python -m pip install --upgrade pip 19 | pip install build twine 20 | - run: | 21 | python -m build 22 | - run: | 23 | twine upload dist/* 24 | env: 25 | TWINE_USERNAME: __token__ 26 | TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }} 27 | -------------------------------------------------------------------------------- /openscoring/tests/test_util.py: -------------------------------------------------------------------------------- 1 | from openscoring.util import _merge_dicts 2 | from unittest import TestCase 3 | 4 | class MergeDictTest(TestCase): 5 | 6 | def testMissingUserDict(self): 7 | self.assertEqual({}, _merge_dicts(None)) 8 | self.assertEqual({"A" : 1}, _merge_dicts(None, A = 1)) 9 | self.assertEqual({"A" : {"one" : 1}}, _merge_dicts(None, A = {"one" : 1})) 10 | 11 | def testMergeValue(self): 12 | self.assertEqual({"A" : 1, "B" : 2, "C" : 3}, _merge_dicts({"A" : 1}, B = 2, C = 3)) 13 | 14 | def testMergeValueEqual(self): 15 | self.assertEqual({"A" : 1}, _merge_dicts({"A" : 1}, A = 1)) 16 | 17 | def testMergeValueConflict(self): 18 | with self.assertRaises(ValueError): 19 | _merge_dicts({"A" : 1}, A = "1") 20 | 21 | def testMergeDict(self): 22 | self.assertEqual({"A" : {"one" : 1, "two" : 2, "three" : 3}}, _merge_dicts({"A" : {"one" : 1}}, A = {"two" : 2, "three" : 3})) 23 | 24 | def testMergeDictOverride(self): 25 | self.assertEqual({"A" : {"one" : 1}}, _merge_dicts({"A" : {"one" : 1}})) 26 | self.assertEqual({"A" : {"one" : "1"}}, _merge_dicts({"A" : {"one" : 1}}, A = {"one" : "1"})) 27 | -------------------------------------------------------------------------------- /setup.py: -------------------------------------------------------------------------------- 1 | from setuptools import find_packages, setup 2 | 3 | exec(open("openscoring/metadata.py").read()) 4 | 5 | setup( 6 | name = "openscoring", 7 | version = __version__, 8 | description = "Python client library for the Openscoring REST web service (https://github.com/openscoring/openscoring)", 9 | author = "Villu Ruusmann", 10 | author_email = "villu.ruusmann@gmail.com", 11 | url = "https://github.com/openscoring/openscoring-python", 12 | download_url = "https://github.com/openscoring/openscoring-python/archive/" + __version__ + ".tar.gz", 13 | license = __license__, 14 | classifiers = [ 15 | "Development Status :: 5 - Production/Stable", 16 | "Operating System :: OS Independent", 17 | "Programming Language :: Python", 18 | "Intended Audience :: Developers", 19 | "Intended Audience :: Science/Research", 20 | "Topic :: Software Development", 21 | "Topic :: Scientific/Engineering" 22 | ], 23 | packages = find_packages(exclude = ["*.tests.*", "*.tests"]), 24 | exclude_package_data = { 25 | "" : ["README.md"], 26 | }, 27 | install_requires = [ 28 | "pandas", 29 | "requests>=2.10.0" 30 | ] 31 | ) 32 | -------------------------------------------------------------------------------- /openscoring/common.py: -------------------------------------------------------------------------------- 1 | class SimpleRequest(object): 2 | pass 3 | 4 | class EvaluationRequest(SimpleRequest): 5 | 6 | def __init__(self, id = None, arguments = {}): 7 | self.id = id 8 | self.arguments = arguments 9 | 10 | class BatchEvaluationRequest(SimpleRequest): 11 | 12 | def __init__(self, id = None, requests = []): 13 | for request in requests: 14 | if not isinstance(request, EvaluationRequest): 15 | raise ValueError("Request element is not EvaluationRequest") 16 | self.id = id 17 | self.requests = requests 18 | 19 | class SimpleResponse(object): 20 | 21 | def __init__(self, message = None): 22 | self.message = message 23 | 24 | def ensureSuccess(self): 25 | if hasattr(self, "message") and self.message is not None: 26 | raise ValueError(self.message) 27 | return self 28 | 29 | class EvaluationResponse(SimpleResponse): 30 | 31 | def __init__(self, message = None, id = None, results = {}): 32 | super(EvaluationResponse, self).__init__(message) 33 | self.id = id 34 | self.results = results 35 | 36 | class BatchEvaluationResponse(SimpleResponse): 37 | 38 | def __init__(self, message = None, id = None, responses = []): 39 | super(BatchEvaluationResponse, self).__init__(message) 40 | responses = [response if isinstance(response, EvaluationResponse) else EvaluationResponse(**response) for response in responses] 41 | self.id = id 42 | self.responses = responses 43 | 44 | class ModelResponse(SimpleResponse): 45 | 46 | def __init__(self, message = None, id = None, miningFunction = None, summary = None, properties = {}, schema = {}): 47 | super(ModelResponse, self).__init__(message) 48 | self.id = id 49 | self.miningFunction = miningFunction 50 | self.summary = summary 51 | self.properties = properties 52 | self.schema = schema 53 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | Openscoring-Python 2 | ================== 3 | 4 | Python client library for the Openscoring REST web service. 5 | 6 | # Prerequisites # 7 | 8 | * Python 2.7, 3.4 or newer. 9 | 10 | # Installation # 11 | 12 | Installing a release version from PyPI: 13 | 14 | ``` 15 | pip install openscoring 16 | ``` 17 | 18 | Alternatively, installing the latest snapshot version from GitHub: 19 | 20 | ``` 21 | pip install --upgrade git+https://github.com/openscoring/openscoring-python.git 22 | ``` 23 | 24 | # Usage # 25 | 26 | Creating an `Openscoring` object: 27 | ```python 28 | from openscoring import Openscoring 29 | 30 | os = Openscoring(base_url = "http://localhost:8080/openscoring") 31 | ``` 32 | 33 | Deploying a PMML document `DecisionTreeIris.pmml` as an `Iris` model: 34 | ```python 35 | os.deployFile("Iris", "DecisionTreeIris.pmml") 36 | ``` 37 | 38 | Evaluating the `Iris` model with a data record: 39 | ```python 40 | arguments = { 41 | "Sepal.Length" : 5.1, 42 | "Sepal.Width" : 3.5, 43 | "Petal.Length" : 1.4, 44 | "Petal.Width" : 0.2 45 | } 46 | 47 | results = os.evaluate("Iris", arguments) 48 | print(results) 49 | ``` 50 | 51 | The same, but wrapping the data record into an `EvaluationRequest` object for request identification purposes: 52 | ```python 53 | from openscoring import EvaluationRequest 54 | 55 | evaluationRequest = EvaluationRequest("record-001", arguments) 56 | 57 | evaluationResponse = os.evaluate("Iris", evaluationRequest) 58 | print(evaluationResponse.results) 59 | ``` 60 | 61 | Evaluating the `Iris` model with data records from the `Iris.csv` CSV file, storing the results to the `Iris-results` CSV file: 62 | ```python 63 | os.evaluateCsvFile("Iris", "Iris.csv", "Iris-results.csv") 64 | ``` 65 | 66 | Undeploying the `Iris` model: 67 | ```python 68 | os.undeploy("Iris") 69 | ``` 70 | 71 | # De-installation # 72 | 73 | Uninstall: 74 | ``` 75 | pip uninstall openscoring 76 | ``` 77 | 78 | # License # 79 | 80 | Openscoring-Python is licensed under the terms and conditions of the [GNU Affero General Public License, Version 3.0](https://www.gnu.org/licenses/agpl-3.0.html). 81 | 82 | # Additional information # 83 | 84 | Openscoring-Python is developed and maintained by Openscoring Ltd, Estonia. 85 | 86 | Interested in using [Java PMML API](https://github.com/jpmml) or [Openscoring REST API](https://github.com/openscoring) software in your company? Please contact [info@openscoring.io](mailto:info@openscoring.io) 87 | -------------------------------------------------------------------------------- /openscoring/tests/resources/DecisionTreeIris.pmml: -------------------------------------------------------------------------------- 1 | 2 | 3 |
4 | 5 | 2019-02-17T19:13:27Z 6 |
7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | -------------------------------------------------------------------------------- /openscoring/tests/test_openscoring.py: -------------------------------------------------------------------------------- 1 | from openscoring import BatchEvaluationRequest, EvaluationRequest, Openscoring 2 | from unittest import TestCase 3 | 4 | import os 5 | import pandas 6 | import tempfile 7 | 8 | class OpenscoringTest(TestCase): 9 | 10 | def testReadme(self): 11 | openscoring = Openscoring(base_url = "http://localhost:8080/openscoring", token = os.getenv("OPENSCORING_TOKEN", None)) 12 | 13 | pmml = os.path.join(os.path.dirname(__file__), "resources", "DecisionTreeIris.pmml") 14 | 15 | with open(pmml, "rb") as instream: 16 | pmmlBytes = instream.read() 17 | self.assertTrue(isinstance(pmmlBytes, bytes)) 18 | self.assertEqual(2919, len(pmmlBytes)) 19 | modelResponse = openscoring.deploy("Iris", pmmlBytes) 20 | self.assertEqual("Iris", modelResponse.id) 21 | 22 | modelResponse = openscoring.deployFile("Iris", pmml) 23 | self.assertEqual("Iris", modelResponse.id) 24 | 25 | arguments = { 26 | "Sepal.Length" : 5.1, 27 | "Sepal.Width" : 3.5, 28 | "Petal.Length" : 1.4, 29 | "Petal.Width" : 0.2 30 | } 31 | results = openscoring.evaluate("Iris", arguments) 32 | self.assertEqual({"Species" : "setosa", "probability(setosa)" : 1.0, "probability(versicolor)" : 0.0, "probability(virginica)" : 0.0}, results) 33 | evaluationRequest = EvaluationRequest("record-001", arguments) 34 | evaluationResponse = openscoring.evaluate("Iris", evaluationRequest) 35 | self.assertEqual(evaluationRequest.id, evaluationResponse.id) 36 | self.assertEqual("setosa", evaluationResponse.results["Species"]) 37 | 38 | batchArguments = [ 39 | { 40 | "Petal.Length" : 1.4, 41 | "Petal.Width" : 0.2 42 | }, 43 | { 44 | "Petal.Length" : 4.7, 45 | "Petal.Width" : 1.4 46 | }, 47 | { 48 | "Petal.Length" : 3.6, 49 | "Petal.Width" : 2.5 50 | } 51 | ] 52 | batchResults = openscoring.evaluateBatch("Iris", batchArguments) 53 | self.assertEqual(3, len(batchResults)) 54 | self.assertEqual({"Species" : "setosa", "probability(setosa)" : 1.0, "probability(versicolor)" : 0.0, "probability(virginica)" : 0.0}, batchResults[0]) 55 | self.assertEqual({"Species" : "versicolor", "probability(setosa)" : 0.0, "probability(versicolor)" : (49.0 / 54.0), "probability(virginica)" : (5.0 / 54.0)}, batchResults[1]) 56 | self.assertEqual({"Species" : "virginica", "probability(setosa)" : 0.0, "probability(versicolor)" : (1.0 / 46.0), "probability(virginica)" : (45.0 / 46.0)}, batchResults[2]) 57 | evaluationRequests = [EvaluationRequest(None, arguments) for arguments in batchArguments] 58 | batchEvaluationRequest = BatchEvaluationRequest("batch-A", evaluationRequests) 59 | batchEvaluationResponse = openscoring.evaluateBatch("Iris", batchEvaluationRequest) 60 | self.assertEqual(batchEvaluationRequest.id, batchEvaluationResponse.id) 61 | evaluationResponses = batchEvaluationResponse.responses 62 | self.assertEqual(3, len(evaluationResponses)) 63 | self.assertEqual("setosa", evaluationResponses[0].results["Species"]) 64 | self.assertEqual("versicolor", evaluationResponses[1].results["Species"]) 65 | self.assertEqual("virginica", evaluationResponses[2].results["Species"]) 66 | 67 | inCsv = os.path.join(os.path.dirname(__file__), "resources", "input.csv") 68 | outCsv = os.path.join(tempfile.gettempdir(), "output.csv") 69 | 70 | dfArguments = pandas.read_csv(inCsv, sep = ",") 71 | dfResults = openscoring.evaluateCsv("Iris", dfArguments) 72 | self.assertEqual((3, 1 + 4), dfResults.shape) 73 | self.assertEqual(dfArguments["Id"].tolist(), dfResults["Id"].tolist()) 74 | self.assertEqual(["setosa", "versicolor", "virginica"], dfResults["Species"].tolist()) 75 | 76 | self.assertFalse(os.path.isfile(outCsv)) 77 | openscoring.evaluateCsvFile("Iris", inCsv, outCsv) 78 | self.assertTrue(os.path.isfile(outCsv) and os.path.getsize(outCsv) > 10) 79 | 80 | os.remove(outCsv) 81 | 82 | openscoring.undeploy("Iris") 83 | 84 | with self.assertRaises(Exception) as context: 85 | openscoring.evaluate("Iris", arguments) 86 | self.assertEqual("Not Found", str(context.exception)) 87 | -------------------------------------------------------------------------------- /openscoring/__init__.py: -------------------------------------------------------------------------------- 1 | from requests.auth import AuthBase 2 | from json import JSONDecoder, JSONEncoder 3 | 4 | try: 5 | from StringIO import StringIO 6 | except ImportError: 7 | from io import StringIO 8 | 9 | import json 10 | import pandas 11 | import requests 12 | import shutil 13 | 14 | from .common import * 15 | from .metadata import __copyright__, __license__, __version__ 16 | from .util import _merge_dicts 17 | 18 | class RequestEncoder(JSONEncoder): 19 | 20 | def default(self, request): 21 | if isinstance(request, SimpleRequest): 22 | return request.__dict__ 23 | else: 24 | return JSONEncoder.default(self, request) 25 | 26 | class BearerTokenAuth(AuthBase): 27 | 28 | def __init__(self, token): 29 | self.token = token 30 | 31 | def __call__(self, request): 32 | request.headers["authorization"] = "Bearer {}".format(self.token) 33 | return request 34 | 35 | class Openscoring(object): 36 | 37 | def __init__(self, base_url, token = None): 38 | self.base_url = base_url 39 | self.auth = None 40 | if token is not None: 41 | self.auth = BearerTokenAuth(token) 42 | 43 | def _model_url(self, id): 44 | return "{}/model/{}".format(self.base_url, id) 45 | 46 | def _check_response(self, response): 47 | try: 48 | service = response.headers["X-Application"] 49 | if (service.startswith("Openscoring/2.0") or service.startswith("Openscoring/2.1") or service.startswith("Openscoring/2.2")) is False: 50 | raise ValueError(service) 51 | except (KeyError, ValueError) as e: 52 | raise ValueError("The web server at {} did not identify itself as Openscoring/2.X service".format(self.base_url)) 53 | return response 54 | 55 | def deploy(self, id, pmml, **kwargs): 56 | kwargs = _merge_dicts(kwargs, data = pmml, json = None, auth = self.auth, headers = {"content-type" : "application/xml"}) 57 | response = self._check_response(requests.put(self._model_url(id), **kwargs)) 58 | modelResponse = ModelResponse(**json.loads(response.text)) 59 | return modelResponse.ensureSuccess() 60 | 61 | def deployFile(self, id, file, **kwargs): 62 | with open(file, "rb") as instream: 63 | return self.deploy(id, instream, **kwargs) 64 | 65 | def evaluate(self, id, payload = {}, **kwargs): 66 | if isinstance(payload, EvaluationRequest): 67 | evaluationRequest = payload 68 | else: 69 | evaluationRequest = EvaluationRequest(None, payload) 70 | kwargs = _merge_dicts(kwargs, data = json.dumps(evaluationRequest, cls = RequestEncoder), json = None, auth = self.auth, headers = {"content-type" : "application/json"}) 71 | response = self._check_response(requests.post(self._model_url(id), **kwargs)) 72 | evaluationResponse = EvaluationResponse(**json.loads(response.text)) 73 | evaluationResponse.ensureSuccess() 74 | if isinstance(payload, EvaluationRequest): 75 | return evaluationResponse 76 | else: 77 | return evaluationResponse.results 78 | 79 | def evaluateBatch(self, id, payload = [], **kwargs): 80 | if isinstance(payload, BatchEvaluationRequest): 81 | batchEvaluationRequest = payload 82 | else: 83 | evaluationRequests = [EvaluationRequest(None, arguments) for arguments in payload] 84 | batchEvaluationRequest = BatchEvaluationRequest(None, evaluationRequests) 85 | kwargs = _merge_dicts(kwargs, data = json.dumps(batchEvaluationRequest, cls = RequestEncoder), json = None, auth = self.auth, headers = {"content-type" : "application/json"}) 86 | response = self._check_response(requests.post(self._model_url(id) + "/batch", **kwargs)) 87 | batchEvaluationResponse = BatchEvaluationResponse(**json.loads(response.text)) 88 | batchEvaluationResponse.ensureSuccess() 89 | if isinstance(payload, BatchEvaluationRequest): 90 | return batchEvaluationResponse 91 | else: 92 | evaluationResponses = batchEvaluationResponse.responses 93 | return [evaluationResponse.results for evaluationResponse in evaluationResponses] 94 | 95 | def evaluateCsv(self, id, df, **kwargs): 96 | csv = df.to_csv(None, sep = "\t", header = True, index = False, encoding = "UTF-8") 97 | kwargs = _merge_dicts(kwargs, data = csv, json = None, auth = self.auth, headers = {"content-type" : "text/plain"}, params = {"delimiterChar" : "\t", "quoteChar" : "\""}, stream = False) 98 | response = self._check_response(requests.post(self._model_url(id) + "/csv", **kwargs)) 99 | try: 100 | if "content-encoding" in response.headers: 101 | response.raw.decode_content = True 102 | if ("content-type" in response.headers) and (response.headers["content-type"] == "application/json"): 103 | simpleResponse = SimpleResponse(**json.loads(response.text)) 104 | return simpleResponse.ensureSuccess() 105 | return pandas.read_csv(StringIO(response.text), sep = "\t", encoding = "UTF-8") 106 | finally: 107 | response.close() 108 | 109 | def evaluateCsvFile(self, id, infile, outfile, **kwargs): 110 | with open(infile, "rb") as instream: 111 | kwargs = _merge_dicts(kwargs, data = instream, json = None, auth = self.auth, headers = {"content-type" : "text/plain"}, stream = True) 112 | response = self._check_response(requests.post(self._model_url(id) + "/csv", **kwargs)) 113 | try: 114 | if "content-encoding" in response.headers: 115 | response.raw.decode_content = True 116 | if ("content-type" in response.headers) and (response.headers["content-type"] == "application/json"): 117 | simpleResponse = SimpleResponse(**json.loads(response.text)) 118 | return simpleResponse.ensureSuccess() 119 | with open(outfile, "wb") as outstream: 120 | shutil.copyfileobj(response.raw, outstream, 1024) 121 | finally: 122 | response.close() 123 | 124 | def undeploy(self, id, **kwargs): 125 | kwargs = _merge_dicts(kwargs, auth = self.auth) 126 | response = self._check_response(requests.delete(self._model_url(id), **kwargs)) 127 | simpleResponse = SimpleResponse(**json.loads(response.text)) 128 | return simpleResponse.ensureSuccess() 129 | -------------------------------------------------------------------------------- /LICENSE.txt: -------------------------------------------------------------------------------- 1 | GNU AFFERO GENERAL PUBLIC LICENSE 2 | Version 3, 19 November 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU Affero General Public License is a free, copyleft license for 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Patents. 460 | 461 | A "contributor" is a copyright holder who authorizes use under this 462 | License of the Program or a work on which the Program is based. The 463 | work thus licensed is called the contributor's "contributor version". 464 | 465 | A contributor's "essential patent claims" are all patent claims 466 | owned or controlled by the contributor, whether already acquired or 467 | hereafter acquired, that would be infringed by some manner, permitted 468 | by this License, of making, using, or selling its contributor version, 469 | but do not include claims that would be infringed only as a 470 | consequence of further modification of the contributor version. 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You may not convey a covered 513 | work if you are a party to an arrangement with a third party that is 514 | in the business of distributing software, under which you make payment 515 | to the third party based on the extent of your activity of conveying 516 | the work, and under which the third party grants, to any of the 517 | parties who would receive the covered work from you, a discriminatory 518 | patent license (a) in connection with copies of the covered work 519 | conveyed by you (or copies made from those copies), or (b) primarily 520 | for and in connection with specific products or compilations that 521 | contain the covered work, unless you entered into that arrangement, 522 | or that patent license was granted, prior to 28 March 2007. 523 | 524 | Nothing in this License shall be construed as excluding or limiting 525 | any implied license or other defenses to infringement that may 526 | otherwise be available to you under applicable patent law. 527 | 528 | 12. No Surrender of Others' Freedom. 529 | 530 | If conditions are imposed on you (whether by court order, agreement or 531 | otherwise) that contradict the conditions of this License, they do not 532 | excuse you from the conditions of this License. If you cannot convey a 533 | covered work so as to satisfy simultaneously your obligations under this 534 | License and any other pertinent obligations, then as a consequence you may 535 | not convey it at all. For example, if you agree to terms that obligate you 536 | to collect a royalty for further conveying from those to whom you convey 537 | the Program, the only way you could satisfy both those terms and this 538 | License would be to refrain entirely from conveying the Program. 539 | 540 | 13. Remote Network Interaction; Use with the GNU General Public License. 541 | 542 | Notwithstanding any other provision of this License, if you modify the 543 | Program, your modified version must prominently offer all users 544 | interacting with it remotely through a computer network (if your version 545 | supports such interaction) an opportunity to receive the Corresponding 546 | Source of your version by providing access to the Corresponding Source 547 | from a network server at no charge, through some standard or customary 548 | means of facilitating copying of software. This Corresponding Source 549 | shall include the Corresponding Source for any work covered by version 3 550 | of the GNU General Public License that is incorporated pursuant to the 551 | following paragraph. 552 | 553 | Notwithstanding any other provision of this License, you have 554 | permission to link or combine any covered work with a work licensed 555 | under version 3 of the GNU General Public License into a single 556 | combined work, and to convey the resulting work. The terms of this 557 | License will continue to apply to the part which is the covered work, 558 | but the work with which it is combined will remain governed by version 559 | 3 of the GNU General Public License. 560 | 561 | 14. Revised Versions of this License. 562 | 563 | The Free Software Foundation may publish revised and/or new versions of 564 | the GNU Affero General Public License from time to time. Such new versions 565 | will be similar in spirit to the present version, but may differ in detail to 566 | address new problems or concerns. 567 | 568 | Each version is given a distinguishing version number. If the 569 | Program specifies that a certain numbered version of the GNU Affero General 570 | Public License "or any later version" applies to it, you have the 571 | option of following the terms and conditions either of that numbered 572 | version or of any later version published by the Free Software 573 | Foundation. If the Program does not specify a version number of the 574 | GNU Affero General Public License, you may choose any version ever published 575 | by the Free Software Foundation. 576 | 577 | If the Program specifies that a proxy can decide which future 578 | versions of the GNU Affero General Public License can be used, that proxy's 579 | public statement of acceptance of a version permanently authorizes you 580 | to choose that version for the Program. 581 | 582 | Later license versions may give you additional or different 583 | permissions. However, no additional obligations are imposed on any 584 | author or copyright holder as a result of your choosing to follow a 585 | later version. 586 | 587 | 15. Disclaimer of Warranty. 588 | 589 | THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY 590 | APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT 591 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY 592 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, 593 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 594 | PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM 595 | IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF 596 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 597 | 598 | 16. Limitation of Liability. 599 | 600 | IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING 601 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS 602 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY 603 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE 604 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF 605 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD 606 | PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), 607 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF 608 | SUCH DAMAGES. 609 | 610 | 17. Interpretation of Sections 15 and 16. 611 | 612 | If the disclaimer of warranty and limitation of liability provided 613 | above cannot be given local legal effect according to their terms, 614 | reviewing courts shall apply local law that most closely approximates 615 | an absolute waiver of all civil liability in connection with the 616 | Program, unless a warranty or assumption of liability accompanies a 617 | copy of the Program in return for a fee. 618 | 619 | END OF TERMS AND CONDITIONS 620 | 621 | How to Apply These Terms to Your New Programs 622 | 623 | If you develop a new program, and you want it to be of the greatest 624 | possible use to the public, the best way to achieve this is to make it 625 | free software which everyone can redistribute and change under these terms. 626 | 627 | To do so, attach the following notices to the program. It is safest 628 | to attach them to the start of each source file to most effectively 629 | state the exclusion of warranty; and each file should have at least 630 | the "copyright" line and a pointer to where the full notice is found. 631 | 632 | 633 | Copyright (C) 634 | 635 | This program is free software: you can redistribute it and/or modify 636 | it under the terms of the GNU Affero General Public License as published by 637 | the Free Software Foundation, either version 3 of the License, or 638 | (at your option) any later version. 639 | 640 | This program is distributed in the hope that it will be useful, 641 | but WITHOUT ANY WARRANTY; without even the implied warranty of 642 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 643 | GNU Affero General Public License for more details. 644 | 645 | You should have received a copy of the GNU Affero General Public License 646 | along with this program. If not, see . 647 | 648 | Also add information on how to contact you by electronic and paper mail. 649 | 650 | If your software can interact with users remotely through a computer 651 | network, you should also make sure that it provides a way for users to 652 | get its source. For example, if your program is a web application, its 653 | interface could display a "Source" link that leads users to an archive 654 | of the code. There are many ways you could offer source, and different 655 | solutions will be better for different programs; see section 13 for the 656 | specific requirements. 657 | 658 | You should also get your employer (if you work as a programmer) or school, 659 | if any, to sign a "copyright disclaimer" for the program, if necessary. 660 | For more information on this, and how to apply and follow the GNU AGPL, see 661 | . 662 | --------------------------------------------------------------------------------