diff --git a/.github/Architecture.md b/.github/Architecture.md index 80db6a340..877824a9b 100644 --- a/.github/Architecture.md +++ b/.github/Architecture.md @@ -5,43 +5,44 @@ ``` 📦 backend | |- 📂 common: -| | |- 📜 optimizer.py : what optimizer to use (ie: SGD or Adam for now) -| | |- 📜 ai_drive.py -| | |- 📜 preprocessing.py | | |- 📜 default_datasets.py : store logic to load in default datasets from scikit-learn -| | |- 📜 dataset.py : read in the dataset through URL or file upload -| | |- 📜 email_notifier.py : Endpoint to send email notification of training results via API Gateway + AWS SES -| | |- 📜 utils.py : utility functions that could be helpful -| | |- 📜 constants.py : list of helpful constants +| | |- 📜 ai_drive.py +| | |- 📜 optimizer.py : what optimizer to use (ie: SGD or Adam for now) | | |- 📜 __init__.py | | |- 📜 kernel.py +| | |- 📜 constants.py : list of helpful constants +| | |- 📜 dataset.py : read in the dataset through URL or file upload +| | |- 📜 preprocessing.py +| | |- 📜 utils.py : utility functions that could be helpful +| | |- 📜 email_notifier.py : Endpoint to send email notification of training results via API Gateway + AWS SES | | |- 📜 loss_functions.py : loss function enum +| |- 📂 aws_helpers: +| | |- 📂 dynamo_db_utils: +| | | |- 📜 userprogress_db.py +| | | |- 📜 constants.py : list of helpful constants +| | | |- 📜 DynamoUnitTests.md +| | | |- 📜 trainspace_db.py +| | | |- 📜 dynamo_db_utils.py +| | | |- 📜 userprogress_db.py +| | |- 📜 __init__.py | |- 📂 ml: | | |- 📜 ml_trainer.py : train a classical machine learning learning model on the dataset -| | |- 📜 __init__.py | | |- 📜 ml_model_parser.py +| | |- 📜 __init__.py | |- 📂 dl: +| | |- 📜 dl_model_parser.py : parse the user specified pytorch model | | |- 📜 dl_model.py : torch model based on user specifications from drag and drop +| | |- 📜 __init__.py | | |- 📜 dl_eval.py : Evaluation functions for deep learning models in Pytorch (eg: accuracy, loss, etc) | | |- 📜 dl_trainer.py : train a deep learning model on the dataset | | |- 📜 detection.py -| | |- 📜 __init__.py -| | |- 📜 dl_model_parser.py : parse the user specified pytorch model -| |- 📂 aws_helpers: -| | |- 📂 dynamo_db_utils: -| | | |- 📜 trainspace_db.py -| | | |- 📜 DynamoUnitTests.md -| | | |- 📜 constants.py : list of helpful constants -| | | |- 📜 dynamo_db_utils.py -| | | |- 📜 userprogress_db.py -| | |- 📜 __init__.py +| |- 📜 __init__.py +| |- 📜 data.csv : data csv file for use in the playground +| |- 📜 pyproject.toml | |- 📜 middleware.py | |- 📜 poetry.lock -| |- 📜 epoch_times.csv -| |- 📜 pyproject.toml -| |- 📜 data.csv : data csv file for use in the playground -| |- 📜 __init__.py | |- 📜 app.py : run the backend (entrypoint script) +| |- 📜 epoch_times.csv ``` ## Frontend Architecture @@ -96,68 +97,108 @@ | | |- 📜 index.html : Base HTML file that will be initially rendered | | |- 📜 manifest.json : Default React file for choosing icon based on | |- 📂 layer_docs: +| | |- 📜 Softmax.md : Doc for Softmax layer | | |- 📜 Linear.md : Doc for Linear layer | | |- 📜 ReLU.md : Doc for ReLU later | | |- 📜 softmax_equation.png : PNG file of Softmax equation -| | |- 📜 Softmax.md : Doc for Softmax layer +| |- 📂 public: +| | |- 📂 images: +| | | |- 📂 wiki_images: +| | | | |- 📜 tanh_plot.png +| | | | |- 📜 dropout_diagram.png +| | | | |- 📜 tanh_equation.png +| | | | |- 📜 conv2d2.gif +| | | | |- 📜 batchnorm_diagram.png +| | | | |- 📜 conv2d.gif +| | | | |- 📜 maxpool2d.gif +| | | | |- 📜 softmax_equation.png : PNG file of Softmax equation +| | | | |- 📜 sigmoid_equation.png +| | | | |- 📜 avgpool_maxpool.gif +| | | |- 📂 learn_mod_images: +| | | | |- 📜 lossExample.png +| | | | |- 📜 robotImage.jpg +| | | | |- 📜 LeakyReLUactivation.png +| | | | |- 📜 neuralnet.png +| | | | |- 📜 lossExampleTable.png +| | | | |- 📜 binarystepactivation.png +| | | | |- 📜 ReLUactivation.png +| | | | |- 📜 sigmoidfunction.png +| | | | |- 📜 tanhactivation.png +| | | | |- 📜 neuronWithEquation.png +| | | | |- 📜 neuron.png +| | | | |- 📜 lossExampleEquation.png +| | | | |- 📜 sigmoidactivation.png +| | | |- 📂 logos: +| | | | |- 📂 dlp_branding: +| | | | | |- 📜 dlp-logo.png : DLP Logo, duplicate of files in public, but essential as the frontend can't read public +| | | | | |- 📜 dlp-logo.svg : DLP Logo, duplicate of files in public, but essential as the frontend can't read public +| | | | |- 📜 dsgt-logo-light.png +| | | | |- 📜 pandas-logo.png +| | | | |- 📜 github.png +| | | | |- 📜 flask-logo.png +| | | | |- 📜 react-logo.png +| | | | |- 📜 aws-logo.png +| | | | |- 📜 pytorch-logo.png +| | | | |- 📜 dsgt-logo-white-back.png +| | | | |- 📜 dsgt-logo-dark.png +| | | | |- 📜 python-logo.png +| | | | |- 📜 google.png +| | | |- 📜 demo_video.gif : GIF tutorial of a simple classification training session +| | |- 📜 manifest.json : Default React file for choosing icon based on +| | |- 📜 index.html : Base HTML file that will be initially rendered +| | |- 📜 dlp-logo.ico : DLP Logo +| | |- 📜 robots.txt | |- 📂 src: -| | |- 📂 pages: -| | | |- 📂 train: -| | | | |- 📜 index.tsx -| | | | |- 📜 [train_space_id].tsx -| | | |- 📜 _app.tsx -| | | |- 📜 _document.tsx -| | | |- 📜 LearnContent.tsx -| | | |- 📜 wiki.tsx -| | | |- 📜 learn.tsx -| | | |- 📜 forgot.tsx -| | | |- 📜 settings.tsx -| | | |- 📜 dashboard.tsx -| | | |- 📜 login.tsx -| | | |- 📜 about.tsx -| | | |- 📜 feedback.tsx +| | |- 📂 backend_outputs: +| | | |- 📜 model.pt : Last model.pt output +| | | |- 📜 my_deep_learning_model.onnx : Last ONNX file output +| | | |- 📜 model.pkl | | |- 📂 common: -| | | |- 📂 styles: -| | | | |- 📜 globals.css -| | | | |- 📜 Home.module.css | | | |- 📂 redux: | | | | |- 📜 userLogin.ts +| | | | |- 📜 train.ts | | | | |- 📜 backendApi.ts | | | | |- 📜 store.ts | | | | |- 📜 hooks.ts -| | | | |- 📜 train.ts -| | | |- 📂 utils: -| | | | |- 📜 dndHelpers.ts -| | | | |- 📜 firebase.ts -| | | | |- 📜 dateFormat.ts +| | | |- 📂 styles: +| | | | |- 📜 Home.module.css +| | | | |- 📜 globals.css | | | |- 📂 components: | | | | |- 📜 Spacer.tsx | | | | |- 📜 Footer.tsx -| | | | |- 📜 HtmlTooltip.tsx +| | | | |- 📜 TitleText.tsx | | | | |- 📜 DlpTooltip.tsx -| | | | |- 📜 ClientOnlyPortal.tsx -| | | | |- 📜 NavBarMain.tsx +| | | | |- 📜 HtmlTooltip.tsx | | | | |- 📜 EmailInput.tsx -| | | | |- 📜 TitleText.tsx -| | |- 📂 backend_outputs: -| | | |- 📜 my_deep_learning_model.onnx : Last ONNX file output -| | | |- 📜 model.pt : Last model.pt output -| | | |- 📜 model.pkl +| | | | |- 📜 NavBarMain.tsx +| | | | |- 📜 ClientOnlyPortal.tsx +| | | |- 📂 utils: +| | | | |- 📜 firebase.ts +| | | | |- 📜 dndHelpers.ts +| | | | |- 📜 dateFormat.ts | | |- 📂 features: | | | |- 📂 Train: +| | | | |- 📂 constants: +| | | | | |- 📜 trainConstants.ts +| | | | |- 📂 types: +| | | | | |- 📜 trainTypes.ts | | | | |- 📂 redux: | | | | | |- 📜 trainspaceSlice.ts | | | | | |- 📜 trainspaceApi.ts | | | | |- 📂 features: | | | | | |- 📂 Image: -| | | | | | |- 📂 redux: -| | | | | | | |- 📜 imageActions.ts -| | | | | | | |- 📜 imageApi.ts -| | | | | | |- 📂 types: -| | | | | | | |- 📜 imageTypes.ts | | | | | | |- 📂 constants: | | | | | | | |- 📜 imageConstants.ts +| | | | | | |- 📂 types: +| | | | | | | |- 📜 imageTypes.ts +| | | | | | |- 📂 redux: +| | | | | | | |- 📜 imageApi.ts +| | | | | | | |- 📜 imageActions.ts | | | | | | |- 📂 components: +| | | | | | | |- 📜 ImageFlow.tsx +| | | | | | | |- 📜 ImageDatasetStep.tsx +| | | | | | | |- 📜 ImageTrainspace.tsx +| | | | | | | |- 📜 ImageReviewStep.tsx | | | | | | | |- 📜 ImageParametersStep.tsx | | | | | | | |- 📜 ImageTrainspace.tsx | | | | | | | |- 📜 ImageFlow.tsx @@ -165,59 +206,69 @@ | | | | | | | |- 📜 ImageReviewStep.tsx | | | | | | |- 📜 index.ts | | | | | |- 📂 Tabular: +| | | | | | |- 📂 constants: +| | | | | | | |- 📜 tabularConstants.ts +| | | | | | |- 📂 types: +| | | | | | | |- 📜 tabularTypes.ts | | | | | | |- 📂 redux: | | | | | | | |- 📜 tabularActions.ts | | | | | | | |- 📜 tabularApi.ts -| | | | | | |- 📂 types: -| | | | | | | |- 📜 tabularTypes.ts -| | | | | | |- 📂 constants: -| | | | | | | |- 📜 tabularConstants.ts | | | | | | |- 📂 components: | | | | | | | |- 📜 TabularParametersStep.tsx -| | | | | | | |- 📜 TabularTrainspace.tsx | | | | | | | |- 📜 TabularDatasetStep.tsx -| | | | | | | |- 📜 TabularReviewStep.tsx +| | | | | | | |- 📜 TabularTrainspace.tsx | | | | | | | |- 📜 TabularFlow.tsx +| | | | | | | |- 📜 TabularReviewStep.tsx | | | | | | |- 📜 index.ts -| | | | |- 📂 types: -| | | | | |- 📜 trainTypes.ts -| | | | |- 📂 constants: -| | | | | |- 📜 trainConstants.ts | | | | |- 📂 components: | | | | | |- 📜 CreateTrainspace.tsx | | | | | |- 📜 TrainspaceLayout.tsx -| | | | | |- 📜 DatasetStepLayout.tsx -| | | |- 📂 OpenAi: -| | | | |- 📜 openAiUtils.ts +| | | |- 📂 Feedback: +| | | | |- 📂 redux: +| | | | | |- 📜 feedbackApi.ts | | | |- 📂 Dashboard: | | | | |- 📂 redux: | | | | | |- 📜 dashboardApi.ts | | | | |- 📂 components: -| | | | | |- 📜 TrainBarChart.tsx | | | | | |- 📜 TrainDataGrid.tsx +| | | | | |- 📜 TrainBarChart.tsx | | | | | |- 📜 TrainDoughnutChart.tsx -| | | |- 📂 Feedback: -| | | | |- 📂 redux: -| | | | | |- 📜 feedbackApi.ts | | | |- 📂 LearnMod: -| | | | |- 📜 FRQuestion.tsx -| | | | |- 📜 LearningModulesContent.tsx -| | | | |- 📜 ModulesSideBar.tsx | | | | |- 📜 MCQuestion.tsx -| | | | |- 📜 ClassCard.tsx | | | | |- 📜 ImageComponent.tsx +| | | | |- 📜 ModulesSideBar.tsx | | | | |- 📜 Exercise.tsx -| | |- 📜 next-env.d.ts +| | | | |- 📜 FRQuestion.tsx +| | | | |- 📜 LearningModulesContent.tsx +| | | | |- 📜 ClassCard.tsx +| | | |- 📂 OpenAi: +| | | | |- 📜 openAiUtils.ts +| | |- 📂 pages: +| | | |- 📂 train: +| | | | |- 📜 index.tsx +| | | | |- 📜 [train_space_id].tsx +| | | |- 📜 login.tsx +| | | |- 📜 feedback.tsx +| | | |- 📜 learn.tsx +| | | |- 📜 dashboard.tsx +| | | |- 📜 about.tsx +| | | |- 📜 _document.tsx +| | | |- 📜 _app.tsx +| | | |- 📜 settings.tsx +| | | |- 📜 forgot.tsx +| | | |- 📜 LearnContent.tsx +| | | |- 📜 wiki.tsx | | |- 📜 iris.csv : Sample CSV data | | |- 📜 GlobalStyle.ts | | |- 📜 constants.ts -| |- 📜 next-env.d.ts -| |- 📜 tsconfig.json +| | |- 📜 next-env.d.ts | |- 📜 next.config.js | |- 📜 jest.config.js | |- 📜 .eslintrc.json -| |- 📜 pnpm-lock.yaml | |- 📜 package.json +| |- 📜 tsconfig.json +| |- 📜 pnpm-lock.yaml +| |- 📜 next-env.d.ts | |- 📜 .eslintignore ``` diff --git a/aws_write/poetry.lock b/aws_write/poetry.lock index 3a6814ec1..2aaee1512 100644 --- a/aws_write/poetry.lock +++ b/aws_write/poetry.lock @@ -225,7 +225,7 @@ name = "boto3" version = "1.28.9" description = "The AWS SDK for Python" optional = false -python-versions = "*" +python-versions = ">= 3.7" files = [ {file = "boto3-1.28.9-py3-none-any.whl", hash = "sha256:01f078047eb4d238c6b9c6cc623f2af33b4ae67980c5326691e35cb5493ff6c7"}, {file = "boto3-1.28.9.tar.gz", hash = "sha256:4cc0c6005be910e52077227e670930ab55a41ba86cdb6d1c052571d08cd4d32c"}, @@ -236,21 +236,24 @@ botocore = ">=1.31.9,<1.32.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.6.0,<0.7.0" +[package.extras] +crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] + [[package]] name = "botocore" version = "1.31.9" description = "Low-level, data-driven core of boto 3." optional = false -python-versions = 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+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] + +[metadata] +lock-version = "2.0" +python-versions = ">=3.9, <3.10" +content-hash = "f51bd4e15924ec136b94f292301e7bb67f25f911b81f90a97bff33ce39572dd9" diff --git a/backend/pyproject.toml b/backend/pyproject.toml index aae22efbf..e8d144952 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -35,7 +35,7 @@ ggshield = "*" psutil = "^5.9.5" logger = "^1.4" flask-cors = "^4.0.0" -aiohttp = "^3.8.5" +aiohttp = "^3.9.0" [tool.poetry.group.dev.dependencies] python = ">=3.9, <3.10" diff --git a/dlp-cli b/dlp-cli index b49009ac0..5b6fe147a 160000 --- a/dlp-cli +++ b/dlp-cli @@ -1 +1 @@ -Subproject commit b49009ac04a20a193e07024b70537d508d7d182d +Subproject commit 5b6fe147ad6334b78737c6db1368045db097fb0c diff --git a/frontend/src/common/redux/userLogin.ts b/frontend/src/common/redux/userLogin.ts index fbd5dd112..d877adeb1 100644 --- a/frontend/src/common/redux/userLogin.ts +++ b/frontend/src/common/redux/userLogin.ts @@ -21,6 +21,7 @@ import { auth } from "@/common/utils/firebase"; import { FirebaseError } from "firebase/app"; import storage from "local-storage-fallback"; import { backendApi } from "./backendApi"; +import { isNameValid } from "../utils/nameFormat"; export interface UserState { user?: UserType | "pending"; @@ -208,33 +209,49 @@ export const registerViaEmailAndPassword = createAsyncThunk< { email: string; password: string; - displayName: string; + passwordConfirmation: string; + firstName: string; + lastName: string; recaptcha: string | null; }, ThunkApiType >( "currentUser/registerViaEmailAndPassword", - async ({ email, password, displayName, recaptcha }, thunkAPI) => { + async ({ email, password, passwordConfirmation, firstName, lastName, recaptcha }, thunkAPI) => { if (!recaptcha) { return thunkAPI.rejectWithValue({ - message: "Please complete the recaptcha", + message: "Please complete the recaptcha" }); } - if (email === "") { + if (!email || email === "") { return thunkAPI.rejectWithValue({ - message: "Please enter your email", + message: "Please enter your email" }); } - if (password === "") { + if (!password || password === "") { return thunkAPI.rejectWithValue({ - message: "Please enter your password", + message: "Please enter your password" + }); + } + + if (password !== passwordConfirmation) { + return thunkAPI.rejectWithValue({ + message: "Passwords do not match" }); } - if (displayName === "") { + + if (!firstName || firstName === "") { + return thunkAPI.rejectWithValue({ + message: "Please enter your first name" + }); + } + + if (!lastName || lastName === "") { return thunkAPI.rejectWithValue({ - message: "Please enter your display name", + message: "Please enter your last name" }); } + try { const userCredential = await createUserWithEmailAndPassword( auth, @@ -242,6 +259,7 @@ export const registerViaEmailAndPassword = createAsyncThunk< password ); const user = userCredential.user; + const displayName = firstName + ' ' + lastName; if (displayName) { await updateProfile(user, { displayName }); } diff --git a/frontend/src/features/Train/features/Tabular/redux/tabularApi.ts b/frontend/src/features/Train/features/Tabular/redux/tabularApi.ts index 20d1c92d1..b7bd3996b 100644 --- a/frontend/src/features/Train/features/Tabular/redux/tabularApi.ts +++ b/frontend/src/features/Train/features/Tabular/redux/tabularApi.ts @@ -12,6 +12,7 @@ const tabularApi = backendApi.injectEndpoints({ method: "POST", body: { name: trainspaceData.name, + data_source: trainspaceData.dataSource, target: trainspaceData.parameterData.targetCol, features: trainspaceData.parameterData.features, default: trainspaceData.datasetData.isDefaultDataset diff --git a/frontend/src/pages/login.tsx b/frontend/src/pages/login.tsx index 4bc45f4e0..6c1e638be 100644 --- a/frontend/src/pages/login.tsx +++ b/frontend/src/pages/login.tsx @@ -66,9 +66,11 @@ const LoadingOverlay = () => { const Login = () => { const [isLoading, setIsLoading] = useState(false); const [isRegistering, setIsRegistering] = useState(false); - const [fullName, setFullName] = useState(""); + const [firstName, setFirstName] = useState(""); + const [lastName, setLastName] = useState(""); const [email, setEmail] = useState(""); const [password, setPassword] = useState(""); + const [confirmPassword, setConfirmPassword] = useState(""); const [recaptcha, setRecaptcha] = useState(null); const user = useAppSelector((state) => state.currentUser.user); const router = useRouter(); @@ -148,12 +150,25 @@ const Login = () => { <> {isRegistering && ( - Name - setFullName(e.target.value)} - autoComplete="name" - /> +
+
+ First Name + setFirstName(e.target.value)} + autoComplete="name" + /> +
+ +
+ Last Name + setLastName(e.target.value)} + autoComplete="name" + /> +
+
)} @@ -167,7 +182,7 @@ const Login = () => { /> - + Password { )} + + {isRegistering && ( + + Confirm Password + setConfirmPassword(e.target.value)} + autoComplete="current-password" + /> + + )} + {isRegistering && process.env.REACT_APP_CAPTCHA_SITE_KEY && (
{ registerViaEmailAndPassword({ email: email, password: password, - displayName: fullName, + passwordConfirmation: confirmPassword, + firstName: firstName, + lastName: lastName, recaptcha: recaptcha, }) ).unwrap(); - toast.success(`Welcome ${fullName}`, { + toast.success(`Welcome ${firstName + " " + lastName}`, { position: toast.POSITION.TOP_CENTER, }); } catch (e) { diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 000000000..e99371fcf --- /dev/null +++ b/package-lock.json @@ -0,0 +1,1548 @@ +{ + "name": "deep-learning-playground", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "deep-learning-playground", + "version": "1.0.0", + "license": "MIT", + "dependencies": { + "@aws-sdk/client-dynamodb": "^3.413.0", + "@aws-sdk/lib-dynamodb": "^3.413.0", + "aws-sdk": "^2.1458.0" + } + }, + "node_modules/@aws-crypto/crc32": { + "version": "3.0.0", + "resolved": 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"sha512-NqVDv9TpANUjFm0N8uM5GxL36UgKi9/atZw+x7YFnQ8ckwFGKrl4xX4yWtrey3UJm5nP1kUbnYgLopqWNSRhWw==", + "license": "ISC" + }, + "node_modules/xmlbuilder": { + "version": "11.0.1", + "resolved": "https://registry.npmjs.org/xmlbuilder/-/xmlbuilder-11.0.1.tgz", + "integrity": "sha512-fDlsI/kFEx7gLvbecc0/ohLG50fugQp8ryHzMTuW9vSa1GJ0XYWKnhsUx7oie3G98+r56aTQIUB4kht42R3JvA==", + "license": "MIT", + "engines": { + "node": ">=4.0" + } + } + } +} diff --git a/serverless/package.json b/serverless/package.json index f0d85c978..ff0153847 100644 --- a/serverless/package.json +++ b/serverless/package.json @@ -23,6 +23,10 @@ "typescript": "^5.2.2" }, "dependencies": { - "@aws-sdk/s3-request-presigner": "^3.438.0" + "@aws-sdk/client-dynamodb": "^3.418.0", + "@aws-sdk/lib-dynamodb": "^3.418.0", + "@aws-sdk/s3-request-presigner": "^3.391.0", + "@aws-sdk/types": "^3.418.0", + "@types/uuid": "^9.0.4" } } diff --git a/serverless/packages/functions/package.json b/serverless/packages/functions/package.json index 84c0ad635..240fe01f3 100644 --- a/serverless/packages/functions/package.json +++ b/serverless/packages/functions/package.json @@ -7,9 +7,12 @@ "typecheck": "tsc -noEmit" }, "devDependencies": { - "@types/node": "^20.5.0", "@types/aws-lambda": "^8.10.119", - "vitest": "^0.34.1", - "sst": "^2.24.3" + "@types/node": "^20.5.0", + "sst": "^2.24.3", + "vitest": "^0.34.1" + }, + "dependencies": { + "uuid": "^9.0.1" } -} \ No newline at end of file +} diff --git a/serverless/packages/functions/src/datasets/user/delete_url.ts b/serverless/packages/functions/src/datasets/user/delete_url.ts new file mode 100644 index 000000000..e1ffcaf83 --- /dev/null +++ b/serverless/packages/functions/src/datasets/user/delete_url.ts @@ -0,0 +1,29 @@ +import { APIGatewayProxyHandlerV2 } from "aws-lambda"; +import { getSignedUrl } from "@aws-sdk/s3-request-presigner"; +import { S3Client, DeleteObjectCommand } from "@aws-sdk/client-s3"; +import parseJwt from "@dlp-sst-app/core/parseJwt"; + +export const handler: APIGatewayProxyHandlerV2 = async (event) => { + if (event?.pathParameters?.type && event.pathParameters.filename) { + const client = new S3Client(); + const user_id: string = parseJwt(event.headers.authorization ?? "")[ + "user_id" + ]; + // Generate the presigned URL for a putObject operation + const command = new DeleteObjectCommand({ + Bucket: "dlp-upload-bucket", + Key: `${user_id}/${event.pathParameters.type}/${event.pathParameters.filename}`, + }); + const url = await getSignedUrl(client, command, { + expiresIn: 15 * 60, + }); + return { + statusCode: 200, + body: JSON.stringify({ data: url, message: "Success" }), + }; + } + return { + statusCode: 404, + body: JSON.stringify({ message: "Not Found" }), + }; +}; \ No newline at end of file diff --git a/serverless/packages/functions/src/trainspace/constants.ts b/serverless/packages/functions/src/trainspace/constants.ts new file mode 100644 index 000000000..410db01fd --- /dev/null +++ b/serverless/packages/functions/src/trainspace/constants.ts @@ -0,0 +1,9 @@ + +export enum TrainStatus { + QUEUED = "QUEUED", + STARTING="STARTING", + UPLOADING="UPLOADING", + TRAINING="TRAINING", + SUCCESS="SUCCESS", + ERROR="ERROR" +} \ No newline at end of file diff --git a/serverless/packages/functions/src/trainspace/create_image_trainspace.ts b/serverless/packages/functions/src/trainspace/create_image_trainspace.ts new file mode 100644 index 000000000..fd7cb6aea --- /dev/null +++ b/serverless/packages/functions/src/trainspace/create_image_trainspace.ts @@ -0,0 +1,63 @@ +import { APIGatewayProxyHandlerV2 } from "aws-lambda"; +import parseJwt from "@dlp-sst-app/core/parseJwt"; +import { v4 as uuidv4 } from 'uuid'; +import { DynamoDBClient } from '@aws-sdk/client-dynamodb'; +import { DynamoDBDocumentClient, PutCommand, PutCommandInput } from '@aws-sdk/lib-dynamodb'; +import { TrainStatus } from './constants'; + +export const handler: APIGatewayProxyHandlerV2 = async (event) => { + if (event) { + const user_id: string = parseJwt(event.headers.authorization ?? "")["user_id"]; + const eventBody = JSON.parse(event.body? event.body : ""); + + const trainspaceId = uuidv4(); + const putCommandInput: PutCommandInput = { + TableName: "trainspace", + Item: + { + trainspace_id: trainspaceId, + uid: user_id, + created: Date.now().toString(), + data_source: 'IMAGE', + dataset_data: JSON.stringify(eventBody['dataset_data']), + name: eventBody['name'], + parameters_data: JSON.stringify(eventBody['parameters_data']), + review_data: eventBody['review_data'], + status: TrainStatus.QUEUED + } + } + + if (putCommandInput == null) + { + return { + statusCode: 400, + body: JSON.stringify({ message: "Invalid request body" }) + } + } + + const client = new DynamoDBClient({}); + const docClient = DynamoDBDocumentClient.from(client); + + const command = new PutCommand(putCommandInput); + const response = await docClient.send(command); + + if (response.$metadata.httpStatusCode != 200) { + client.destroy(); + + return { + statusCode: 500, + body: JSON.stringify({ message: "Internal server error."}) + }; + } + + client.destroy(); + return { + statusCode: 200, + body: JSON.stringify({ trainspaceId: trainspaceId, message: "Successfully created a new trainspace."}) + }; + } + return { + statusCode: 404, + body: JSON.stringify({ message: "Not Found" }), + }; +}; \ No newline at end of file diff --git a/serverless/packages/functions/src/trainspace/create_tabular_trainspace.ts b/serverless/packages/functions/src/trainspace/create_tabular_trainspace.ts new file mode 100644 index 000000000..5a2bc6976 --- /dev/null +++ b/serverless/packages/functions/src/trainspace/create_tabular_trainspace.ts @@ -0,0 +1,67 @@ +import { APIGatewayProxyHandlerV2 } from "aws-lambda"; +import parseJwt from "@dlp-sst-app/core/parseJwt"; +import { v4 as uuidv4 } from 'uuid'; +import { DynamoDBClient } from '@aws-sdk/client-dynamodb'; +import { DynamoDBDocumentClient, PutCommand, PutCommandInput } from '@aws-sdk/lib-dynamodb'; +import { TrainStatus } from './constants'; + +export const handler: APIGatewayProxyHandlerV2 = async (event) => { + if (event) { + const user_id: string = parseJwt(event.headers.authorization ?? "")["user_id"]; + const eventBody = JSON.parse(event.body? event.body : ""); + + const trainspaceId = uuidv4(); + let putCommandInput: PutCommandInput = { + TableName: "trainspace", + Item: + { + trainspace_id: trainspaceId, + uid: user_id, + created: Date.now().toString(), + data_source: 'TABULAR', + dataset_data: JSON.stringify(eventBody['dataset_data']), + name: eventBody['name'], + parameters_data: { + criterion: eventBody['criterion'], + optimizer_name: eventBody['optimizer_name'], + shuffle: eventBody['shuffle'], + epochs: eventBody['epochs'], + batch_size: eventBody['batch_size'], + user_arch: eventBody['user_arch'] + }, + review_data: "", + status: TrainStatus.QUEUED + } + } + + if (putCommandInput == null) + { + return { + statusCode: 400, + body: JSON.stringify({ message: "Invalid request body" }) + } + } + + const client = new DynamoDBClient({}); + const docClient = DynamoDBDocumentClient.from(client); + + const command = new PutCommand(putCommandInput); + const response = await docClient.send(command); + + if (response.$metadata.httpStatusCode != 200) { + return { + statusCode: 500, + body: JSON.stringify({ message: "Internal server error."}) + }; + } + + return { + statusCode: 200, + body: JSON.stringify({ trainspaceId: trainspaceId, message: "Successfully created a new trainspace."}) + }; + } + return { + statusCode: 404, + body: JSON.stringify({ message: "Not Found" }), + }; +}; \ No newline at end of file diff --git a/serverless/packages/functions/src/trainspace/delete_trainspace.ts b/serverless/packages/functions/src/trainspace/delete_trainspace.ts new file mode 100644 index 000000000..483f39179 --- /dev/null +++ b/serverless/packages/functions/src/trainspace/delete_trainspace.ts @@ -0,0 +1,46 @@ +import { APIGatewayProxyHandlerV2 } from "aws-lambda"; + +import { DynamoDBClient } from '@aws-sdk/client-dynamodb'; +import { DynamoDBDocumentClient, DeleteCommand } from '@aws-sdk/lib-dynamodb'; + +export const handler: APIGatewayProxyHandlerV2 = async (event) => { + let queryParams = null; + if (event && (queryParams = event['pathParameters']) != null) { + const trainspaceId: string | undefined = queryParams['id']; + + if (trainspaceId == undefined) { + return { + statusCode: 400, + body: JSON.stringify({ message : "Malformed request content - trainspace ID missing." }), + }; + } + + const client = new DynamoDBClient({}); + const docClient = DynamoDBDocumentClient.from(client); + + const command = new DeleteCommand({ + TableName : "trainspace", + Key : + { + trainspace_id: trainspaceId + } + }); + + const response = await docClient.send(command); + if (response.$metadata.httpStatusCode == undefined || response.$metadata.httpStatusCode != 200) + { + return { + statusCode: 404, + body: JSON.stringify({ message : "Delete operation failed" }) + } + } + return { + statusCode: 200, + body: "Successfully deleted trainspace with id " + trainspaceId + } + } + return { + statusCode: 400, + body: JSON.stringify({ message : "Malformed request content" }), + }; +}; \ No newline at end of file diff --git a/serverless/packages/functions/src/trainspace/get_all_trainspace.ts b/serverless/packages/functions/src/trainspace/get_all_trainspace.ts new file mode 100644 index 000000000..916d33ee5 --- /dev/null +++ b/serverless/packages/functions/src/trainspace/get_all_trainspace.ts @@ -0,0 +1,50 @@ +import { APIGatewayProxyHandlerV2 } from "aws-lambda"; +import parseJwt from "@dlp-sst-app/core/parseJwt"; +import { DynamoDBClient, QueryCommand } from '@aws-sdk/client-dynamodb'; + +export const handler: APIGatewayProxyHandlerV2 = async (event) => { + if (event) { + const user_id: string = parseJwt(event.headers.authorization ?? "")[ + "user_id" + ]; + + const client = new DynamoDBClient({}); + + const fetchedTrainspaceIds: Array = []; + let lastEvaluatedKey = undefined; + + do { + const getCommand: QueryCommand = new QueryCommand({ + TableName: "trainspace", + IndexName: "uid", + KeyConditionExpression: "uid = :uid", + ExpressionAttributeValues: { + ":uid" : + { + S: user_id + } + }, + ExclusiveStartKey: lastEvaluatedKey + }); + + const results = await client.send(getCommand); + lastEvaluatedKey = results.LastEvaluatedKey; + + if (results['Items']) { + const page: Array = results['Items']?.map(trainspace => trainspace['trainspace_id'].S); + page.forEach(id => { if (id) fetchedTrainspaceIds.push(id); }); + } + + + } while (lastEvaluatedKey !== undefined); + return { + statusCode: 200, + body: JSON.stringify({ trainspace_ids : fetchedTrainspaceIds}) + }; + } + + return { + statusCode: 404, + body: JSON.stringify({ message: "Not Found" }), + }; +}; \ No newline at end of file diff --git a/serverless/packages/functions/src/trainspace/get_trainspace.ts b/serverless/packages/functions/src/trainspace/get_trainspace.ts new file mode 100644 index 000000000..f6eb49357 --- /dev/null +++ b/serverless/packages/functions/src/trainspace/get_trainspace.ts @@ -0,0 +1,46 @@ +import { APIGatewayProxyHandlerV2, APIGatewayProxyEventV2 } from "aws-lambda"; +import { DynamoDBClient } from '@aws-sdk/client-dynamodb'; +import { DynamoDBDocumentClient, GetCommand } from '@aws-sdk/lib-dynamodb'; + +export const handler: APIGatewayProxyHandlerV2 = async (event : APIGatewayProxyEventV2) => { + const queryParams = event['pathParameters']; + if (queryParams != null) + { + const trainspaceId: string | undefined = queryParams['id']; + + if (trainspaceId == undefined) { + return { + statusCode: 400, + body: JSON.stringify({message: "Malformed request content - trainspace ID missing."}) + }; + } + + const client: DynamoDBClient = new DynamoDBClient({}); + const docClient = DynamoDBDocumentClient.from(client); + + const command : GetCommand = new GetCommand({ + TableName : "trainspace", + Key : + { + trainspace_id : trainspaceId + } + }); + + const response = await docClient.send(command); + if (!response.Item) + { + return { + statusCode: 404, + body: JSON.stringify({message: "Provided trainspaceId does not exist"}) + } + } + return { + statusCode: 200, + body: JSON.stringify({message: "Successfully retrieved trainspace data", trainspace: response.Item}) + } + } + return { + statusCode: 400, + body: JSON.stringify({message: "Malformed request content"}) + }; +}; \ No newline at end of file diff --git a/serverless/stacks/AppStack.ts b/serverless/stacks/AppStack.ts index ea623173b..caa87bc40 100644 --- a/serverless/stacks/AppStack.ts +++ b/serverless/stacks/AppStack.ts @@ -1,4 +1,4 @@ -import { Api, Bucket, StackContext, Table } from "sst/constructs"; +import { Api, Bucket, StackContext } from "sst/constructs"; import { Bucket as s3Bucket } from "aws-cdk-lib/aws-s3"; export function AppStack({ stack }: StackContext) { @@ -11,26 +11,7 @@ export function AppStack({ stack }: StackContext) { ), }, }); - const trainspaceRunTable = new Table(stack, "trainspace-run", { - fields: { - runId: "string", - trainspaceId: "string", - userId: "string", - timestamp: "string", - resultCsvUri: "string", - modelPtUri: "string", - onnxUri: "string", - confusionMatrixUri: "string", - aucRocUri: "string" - }, - primaryIndex: { - partitionKey: "runId", - }, - globalIndexes: { - "TrainspaceIndex": { partitionKey: "trainspaceId", sortKey: "timestamp"}, - "UserIndex": {partitionKey: "userId"} - }, - }); + const api = new Api(stack, "Api", { authorizers: { FirebaseAuthorizer: { @@ -55,6 +36,38 @@ export function AppStack({ stack }: StackContext) { "packages/functions/src/datasets/user/all_of_type.handler", "GET /datasets/user/{type}/{filename}/columns": "packages/functions/src/datasets/user/columns.handler", + "DELETE /dataset/user/{type}/{filename}" : + "packages/functions/src/datasets/user/delete_url.handler", + "POST /trainspace/tabular": { + function: { + handler: "packages/functions/src/trainspace/create_tabular_trainspace.handler", + permissions: ["dynamodb:PutItem"] + } + }, + "POST /trainspace/image": { + function: { + handler: "packages/functions/src/trainspace/create_image_trainspace.handler", + permissions: ["dynamodb:PutItem"] + } + }, + "GET /trainspace/{id}": { + function: { + handler: "packages/functions/src/trainspace/get_trainspace.handler", + permissions: ["dynamodb:GetItem"] + } + }, + "GET /trainspace": { + function: { + handler: "packages/functions/src/trainspace/get_all_trainspace.handler", + permissions: ["dynamodb:Query"] + } + }, + "DELETE /trainspace/{id}": { + function: { + handler: "packages/functions/src/trainspace/delete_trainspace.handler", + permissions: ["dynamodb:DeleteItem"] + } + } }, }); @@ -70,8 +83,15 @@ export function AppStack({ stack }: StackContext) { GetUserDatasetColumnsFunctionName: api.getFunction("GET /datasets/user/{type}/{filename}/columns") ?.functionName ?? "", - TrainspaceRunTableName: { - value: trainspaceRunTable.tableName - } + PutTabularTrainspaceFunctionName: + api.getFunction("POST /trainspace/tabular")?.functionName ?? "", + PutImageTrainspaceFunctionName: + api.getFunction("POST /trainspace/tabular")?.functionName ?? "", + GetAllTrainspaceIdsFunctionName: + api.getFunction("GET /trainspace")?.functionName ?? "", + GetTrainspaceByIdFunctionName: + api.getFunction("GET /trainspace/{id}")?.functionName ?? "", + DeleteTrainspaceByIdFunctionName: + api.getFunction("DELETE /trainspace/{id}")?.functionName ?? "" }); } diff --git a/training/poetry.lock b/training/poetry.lock index 4626d878a..537294937 100644 --- a/training/poetry.lock +++ b/training/poetry.lock @@ -364,13 +364,13 @@ files = [ [[package]] name = "django" -version = "4.2.5" +version = "4.2.7" description = "A high-level Python web framework that encourages rapid development and clean, pragmatic design." optional = false python-versions = ">=3.8" files = [ - {file = "Django-4.2.5-py3-none-any.whl", hash = "sha256:b6b2b5cae821077f137dc4dade696a1c2aa292f892eca28fa8d7bfdf2608ddd4"}, - {file = "Django-4.2.5.tar.gz", hash = "sha256:5e5c1c9548ffb7796b4a8a4782e9a2e5a3df3615259fc1bfd3ebc73b646146c1"}, + {file = "Django-4.2.7-py3-none-any.whl", hash = "sha256:e1d37c51ad26186de355cbcec16613ebdabfa9689bbade9c538835205a8abbe9"}, + {file = "Django-4.2.7.tar.gz", hash = "sha256:8e0f1c2c2786b5c0e39fe1afce24c926040fad47c8ea8ad30aaf1188df29fc41"}, ] [package.dependencies] @@ -2045,4 +2045,4 @@ files = [ [metadata] lock-version = "2.0" python-versions = ">=3.9, <3.10" -content-hash = "d3e63638e340d09084cc4504004769b7dc6b0ad65e08b9c0b8dd02548b274428" +content-hash = "28e53e26e06a2b9e0eb06dbcf429399055aaa924b67031a886c6c4bc7426d110" diff --git a/training/pyproject.toml b/training/pyproject.toml index b3cbe110f..b54eb02f5 100644 --- a/training/pyproject.toml +++ b/training/pyproject.toml @@ -8,7 +8,7 @@ readme = "README.md" [tool.poetry.dependencies] python = ">=3.9, <3.10" boto3 = "^1.28.15" -django = "^4.2.3" +django = "^4.2.7" django-ninja = "^0.22.2" scikit-learn = "^1.3.0" pandas = "^2.0.3" diff --git a/training/tests/test_dataset_endpoint.py b/training/tests/test_dataset_endpoint.py new file mode 100644 index 000000000..48b353a7e --- /dev/null +++ b/training/tests/test_dataset_endpoint.py @@ -0,0 +1,29 @@ +import pytest +from tests.utils.test_utils import mock_authenticate, get_test_bearer_token +from django.test import Client +from training.core.authenticator import FirebaseAuth + + +@pytest.mark.parametrize( + "dataset_name", ["IRIS", "CALIFORNIA_HOUSING", "DIABETES", "WINE"] +) +def test_columns_endpoint(monkeypatch, dataset_name): + client = Client() + # Use monkeypatch to replace FirebaseAuth.authenticate with our mock function + monkeypatch.setattr(FirebaseAuth, "authenticate", mock_authenticate) + # Set the Authorization header with the fake token + headers = get_test_bearer_token() + response = client.get(f"/api/datasets/default/{dataset_name}/columns", **headers) + assert response.status_code == 200 + assert isinstance(response.json(), dict) + + +@pytest.mark.parametrize("dataset_name", ["TEST_DATASET", "HELLO", None]) +def test_columns_invalid_default(monkeypatch, dataset_name): + client = Client() + # Use monkeypatch to replace FirebaseAuth.authenticate with our mock function + monkeypatch.setattr(FirebaseAuth, "authenticate", mock_authenticate) + headers = get_test_bearer_token() + response = client.get(f"/api/datasets/default/{dataset_name}/columns", **headers) + assert response.status_code == 404 + assert response.content.decode("utf-8") == '{"message": "Dataset not found"}' diff --git a/training/tests/utils/__init__.py b/training/tests/utils/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/training/tests/utils/test_utils.py b/training/tests/utils/test_utils.py new file mode 100644 index 000000000..c522a295c --- /dev/null +++ b/training/tests/utils/test_utils.py @@ -0,0 +1,32 @@ +""" +File that houses helper functions for testing the training backend +""" +import jwt +import datetime + + +def mock_authenticate(*args, **kwargs) -> str: + """ + Function that gives a test JWT Token for testing (not necessarily real user data) + Django API Endpoints that require user authentication + + Returns: + token: Bearer Token + """ + payload = { + "sub": "1234567890", + "name": "John Doe", + "iat": datetime.datetime.utcnow(), + "exp": datetime.datetime.utcnow() + datetime.timedelta(days=1), + } + secret = "secret" + token = jwt.encode(payload, secret, algorithm="HS256") + return token + + +def get_test_bearer_token() -> dict: + """ + Wrapper that uses mock_authenticate function to build a bearer token + in a format that Django accepts + """ + return {"HTTP_AUTHORIZATION": "Bearer " + mock_authenticate()} diff --git a/training/training/core/criterion.py b/training/training/core/criterion.py index 781f46f2a..dac0100b0 100644 --- a/training/training/core/criterion.py +++ b/training/training/core/criterion.py @@ -46,7 +46,7 @@ class CELossHandler(CriterionHandler): def _compute_loss(self, output, labels): output = torch.reshape( output, - (output.shape[0], output.shape[2]), + (output.shape[0], output.shape[-1]), ) labels = labels.squeeze_() return nn.CrossEntropyLoss(reduction="mean")(output, labels.long()) diff --git a/training/training/core/dataset.py b/training/training/core/dataset.py index dce483f18..c24e8feee 100644 --- a/training/training/core/dataset.py +++ b/training/training/core/dataset.py @@ -12,10 +12,21 @@ import torch from torch.utils.data import Dataset from torch.autograd import Variable +from torchvision import datasets, transforms +from torch.utils.data import DataLoader +from enum import Enum +import os +import shutil class TrainTestDatasetCreator(ABC): - "Creator that creates train and test PyTorch datasets" + """ + Creator that creates train and test PyTorch datasets from a given dataset. + + This class serves as an abstract base class for creating training and testing + datasets compatible with PyTorch's dataset structure. Implementations should + define specific methods for dataset processing and loading. + """ @abstractmethod def createTrainDataset(self) -> Dataset: @@ -60,7 +71,6 @@ def getDefaultDataset(cls, name: str) -> pd.DataFrame: columns=raw_data["feature_names"] + ["target"], # type: ignore ) - # remove any empty lines default_dataset.dropna(how="all", inplace=True) return default_dataset @@ -98,3 +108,96 @@ def getCategoryList(self) -> list[str]: if self._category_list is None: raise Exception("Category list not available") return self._category_list + + +class DefaultImageDatasets(Enum): + MNIST = "MNIST" + FASHION_MNIST = "FashionMNIST" + KMNIST = "KMNIST" + CIFAR10 = "CIFAR10" + + +class ImageDefaultDatasetCreator(TrainTestDatasetCreator): + def __init__( + self, + dataset_name: str, + train_transform: None, + test_transform: None, + batch_size: int = 32, + shuffle: bool = True, + ): + if dataset_name not in DefaultImageDatasets.__members__: + raise Exception( + f"The {dataset_name} file does not currently exist in our inventory. Please submit a request to the contributors of the repository" + ) + + self.dataset_dir = "./training/image_data_uploads" + self.train_transform = train_transform or transforms.Compose( + [transforms.ToTensor()] + ) + + self.test_transform = test_transform or transforms.Compose( + [transforms.ToTensor()] + ) + self.batch_size = batch_size + self.shuffle = shuffle + + # Ensure the directory exists + os.makedirs(self.dataset_dir, exist_ok=True) + + # Load the datasets + + self.train_set = datasets.__dict__[dataset_name]( + root=self.dataset_dir, + train=True, + download=True, + transform=self.train_transform, + ) + self.test_set = datasets.__dict__[dataset_name]( + root=self.dataset_dir, + train=False, + download=True, + transform=self.test_transform, + ) + + @classmethod + def fromDefault( + cls, + dataset_name: str, + train_transform=None, + test_transform=None, + batch_size: int = 32, + shuffle: bool = True, + ) -> "ImageDefaultDatasetCreator": + return cls(dataset_name, train_transform, test_transform, batch_size, shuffle) + + def delete_datasets_from_directory(self): + if os.path.exists(self.dataset_dir): + try: + shutil.rmtree(self.dataset_dir) + print(f"Successfully deleted {self.dataset_dir}") + except Exception as e: + print(f"Failed to delete {self.dataset_dir} with error: {e}") + + def createTrainDataset(self) -> DataLoader: + train_loader = DataLoader( + self.train_set, + batch_size=self.batch_size, + shuffle=self.shuffle, + drop_last=True, + ) + self.delete_datasets_from_directory() # Delete datasets after loading + return train_loader + + def createTestDataset(self) -> DataLoader: + test_loader = DataLoader( + self.test_set, + batch_size=self.batch_size, + shuffle=self.shuffle, + drop_last=True, + ) + self.delete_datasets_from_directory() # Delete datasets after loading + return test_loader + + def getCategoryList(self) -> list[str]: + return self.train_set.classes if hasattr(self.train_set, "classes") else [] diff --git a/training/training/core/dl_model.py b/training/training/core/dl_model.py index 052ea2199..b33157adf 100644 --- a/training/training/core/dl_model.py +++ b/training/training/core/dl_model.py @@ -3,6 +3,7 @@ import torch.nn as nn from training.routes.tabular.schemas import LayerParams +from training.routes.image.schemas import LayerParams class DLModel(nn.Module): @@ -13,6 +14,10 @@ class DLModel(nn.Module): "SOFTMAX": nn.Softmax, "SIGMOID": nn.Sigmoid, "LOGSOFTMAX": nn.LogSoftmax, + "CONV2D": nn.Conv2d, + "DROPOUT": nn.Dropout, + "MAXPOOL2D": nn.MaxPool2d, + "FLATTEN": nn.Flatten, } def __init__(self, layer_list: list[nn.Module]): diff --git a/training/training/routes/image/__init__.py b/training/training/routes/image/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/training/training/routes/image/image.py b/training/training/routes/image/image.py new file mode 100644 index 000000000..92ccc3690 --- /dev/null +++ b/training/training/routes/image/image.py @@ -0,0 +1,40 @@ +from typing import Literal, Optional +from django.http import HttpRequest +from ninja import Router, Schema +from training.core.criterion import getCriterionHandler +from training.core.dl_model import DLModel +from training.core.dataset import ImageDefaultDatasetCreator +from torch.utils.data import DataLoader +from training.core.optimizer import getOptimizer +from training.core.trainer import ClassificationTrainer +from training.routes.image.schemas import ImageParams +from training.core.authenticator import FirebaseAuth + +router = Router() + + +@router.post("", auth=FirebaseAuth()) +def imageTrain(request: HttpRequest, imageParams: ImageParams): + if imageParams.default: + dataCreator = ImageDefaultDatasetCreator.fromDefault(imageParams.default) + train_loader = dataCreator.createTrainDataset() + test_loader = dataCreator.createTestDataset() + model = DLModel.fromLayerParamsList(imageParams.user_arch) + optimizer = getOptimizer(model, imageParams.optimizer_name, 0.05) + criterionHandler = getCriterionHandler(imageParams.criterion) + if imageParams.problem_type == "CLASSIFICATION": + trainer = ClassificationTrainer( + train_loader, + test_loader, + model, + optimizer, + criterionHandler, + imageParams.epochs, + dataCreator.getCategoryList(), + ) + for epoch_result in trainer: + print(epoch_result) + print(trainer.labels_last_epoch, trainer.y_pred_last_epoch) + print(trainer.generate_confusion_matrix()) + print(trainer.generate_AUC_ROC_CURVE()) + return trainer.generate_AUC_ROC_CURVE() diff --git a/training/training/routes/image/schemas.py b/training/training/routes/image/schemas.py new file mode 100644 index 000000000..441f1fa02 --- /dev/null +++ b/training/training/routes/image/schemas.py @@ -0,0 +1,20 @@ +from typing import Any, Literal, Optional +from ninja import Schema + + +class LayerParams(Schema): + value: str + parameters: list[Any] + + +class ImageParams(Schema): + name: str + problem_type: Literal["CLASSIFICATION"] + default: Optional[str] + criterion: str + optimizer_name: str + shuffle: bool + epochs: int + test_size: float + batch_size: int + user_arch: list[LayerParams] diff --git a/training/training/urls.py b/training/training/urls.py index f165df260..e34755f18 100644 --- a/training/training/urls.py +++ b/training/training/urls.py @@ -1,6 +1,5 @@ """ URL configuration for training project. - The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/4.2/topics/http/urls/ Examples: @@ -19,8 +18,10 @@ from django.http import HttpRequest from django.urls import path from ninja import NinjaAPI, Schema + from training.routes.datasets.default.columns import router as default_dataset_router from training.routes.tabular.tabular import router as tabular_router +from training.routes.image.image import router as image_router api = NinjaAPI() @@ -32,6 +33,7 @@ def test(request: HttpRequest): api.add_router("/datasets/default/", default_dataset_router) api.add_router("/tabular", tabular_router) +api.add_router("/image", image_router) urlpatterns = [ path("admin/", admin.site.urls),