diff --git a/cli/.gitignore b/cli/.gitignore new file mode 100644 index 0000000..8f074c5 --- /dev/null +++ b/cli/.gitignore @@ -0,0 +1,24 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js + +# testing +/coverage + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* + +.eslintcache diff --git a/cli/README.md b/cli/README.md new file mode 100644 index 0000000..f63a652 --- /dev/null +++ b/cli/README.md @@ -0,0 +1,27 @@ +## AgentGPT CLI + +AgentGPT CLI is a utility designed to streamline the setup process of your AgentGPT environment. +It uses Inquirer to interactively build up ENV values while also validating they are correct. + +This was first created by @JPDucky on GitHub. + +### Running the tool + +``` +// Running from the root of the project +./setup.sh +``` + +``` +// Running from the cli directory +cd cli/ +npm run start +``` + +### Updating ENV values + +To update ENV values: + +- Add a question to the list of questions in `index.js` for the ENV value +- Add a value in the `envDefinition` for the ENV value +- Add the ENV value to the `.env.example` in the root of the project diff --git a/cli/package-lock.json b/cli/package-lock.json new file mode 100644 index 0000000..34a6c82 --- /dev/null +++ b/cli/package-lock.json @@ -0,0 +1,2865 @@ +{ + "name": "agentgpt-cli", + "version": "1.0.0", + "lockfileVersion": 2, + "requires": true, + "packages": { + "": { + "name": "agentgpt-cli", + "version": "1.0.0", + "dependencies": { + "@octokit/auth-basic": "^1.4.8", + "@octokit/rest": "^20.0.2", + "chalk": "^5.3.0", + "clear": "^0.1.0", + "clui": "^0.3.6", + "configstore": "^6.0.0", + "dotenv": "^16.3.1", + "figlet": "^1.7.0", + "inquirer": "^9.2.12", + "lodash": "^4.17.21", + "minimist": "^1.2.8", + "node-fetch": "^3.3.2", + "simple-git": "^3.20.0", + "touch": "^3.1.0" + }, + "engines": { + "node": 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b/cli/package.json @@ -0,0 +1,32 @@ +{ + "name": "agentgpt-cli", + "version": "1.0.0", + "description": "A CLI to create your AgentGPT environment", + "private": true, + "engines": { + "node": ">=18.0.0 <19.0.0" + }, + "type": "module", + "main": "index.js", + "scripts": { + "start": "node src/index.js", + "dev": "node src/index.js" + }, + "author": "reworkd", + "dependencies": { + "@octokit/auth-basic": "^1.4.8", + "@octokit/rest": "^20.0.2", + "chalk": "^5.3.0", + "clear": "^0.1.0", + "clui": "^0.3.6", + "configstore": "^6.0.0", + "dotenv": "^16.3.1", + "figlet": "^1.7.0", + "inquirer": "^9.2.12", + "lodash": "^4.17.21", + "minimist": "^1.2.8", + "node-fetch": "^3.3.2", + "simple-git": "^3.20.0", + "touch": "^3.1.0" + } +} diff --git a/cli/src/envGenerator.js b/cli/src/envGenerator.js new file mode 100644 index 0000000..a7aa412 --- /dev/null +++ b/cli/src/envGenerator.js @@ -0,0 +1,142 @@ +import crypto from "crypto"; +import fs from "fs"; +import chalk from "chalk"; + +export const generateEnv = (envValues) => { + let isDockerCompose = envValues.runOption === "docker-compose"; + let dbPort = isDockerCompose ? 3307 : 3306; + let platformUrl = isDockerCompose + ? "http://host.docker.internal:8000" + : "http://localhost:8000"; + + const envDefinition = getEnvDefinition( + envValues, + isDockerCompose, + dbPort, + platformUrl + ); + + const envFileContent = generateEnvFileContent(envDefinition); + saveEnvFile(envFileContent); +}; + +const getEnvDefinition = (envValues, isDockerCompose, dbPort, platformUrl) => { + return { + "Deployment Environment": { + NODE_ENV: "development", + NEXT_PUBLIC_VERCEL_ENV: "${NODE_ENV}", + }, + NextJS: { + NEXT_PUBLIC_BACKEND_URL: "http://localhost:8000", + NEXT_PUBLIC_MAX_LOOPS: 100, + }, + "Next Auth config": { + NEXTAUTH_SECRET: generateAuthSecret(), + NEXTAUTH_URL: "http://localhost:3000", + }, + "Auth providers (Use if you want to get out of development mode sign-in)": { + GOOGLE_CLIENT_ID: "***", + GOOGLE_CLIENT_SECRET: "***", + GITHUB_CLIENT_ID: "***", + GITHUB_CLIENT_SECRET: "***", + DISCORD_CLIENT_SECRET: "***", + DISCORD_CLIENT_ID: "***", + }, + Backend: { + REWORKD_PLATFORM_ENVIRONMENT: "${NODE_ENV}", + REWORKD_PLATFORM_FF_MOCK_MODE_ENABLED: false, + REWORKD_PLATFORM_MAX_LOOPS: "${NEXT_PUBLIC_MAX_LOOPS}", + REWORKD_PLATFORM_OPENAI_API_KEY: + envValues.OpenAIApiKey || '""', + REWORKD_PLATFORM_FRONTEND_URL: "http://localhost:3000", + REWORKD_PLATFORM_RELOAD: true, + REWORKD_PLATFORM_OPENAI_API_BASE: "https://api.openai.com/v1", + REWORKD_PLATFORM_SERP_API_KEY: envValues.serpApiKey || '""', + REWORKD_PLATFORM_REPLICATE_API_KEY: envValues.replicateApiKey || '""', + }, + "Database (Backend)": { + REWORKD_PLATFORM_DATABASE_USER: "reworkd_platform", + REWORKD_PLATFORM_DATABASE_PASSWORD: "reworkd_platform", + REWORKD_PLATFORM_DATABASE_HOST: "agentgpt_db", + REWORKD_PLATFORM_DATABASE_PORT: dbPort, + REWORKD_PLATFORM_DATABASE_NAME: "reworkd_platform", + REWORKD_PLATFORM_DATABASE_URL: + "mysql://${REWORKD_PLATFORM_DATABASE_USER}:${REWORKD_PLATFORM_DATABASE_PASSWORD}@${REWORKD_PLATFORM_DATABASE_HOST}:${REWORKD_PLATFORM_DATABASE_PORT}/${REWORKD_PLATFORM_DATABASE_NAME}", + }, + "Database (Frontend)": { + DATABASE_USER: "reworkd_platform", + DATABASE_PASSWORD: "reworkd_platform", + DATABASE_HOST: "agentgpt_db", + DATABASE_PORT: dbPort, + DATABASE_NAME: "reworkd_platform", + DATABASE_URL: + "mysql://${DATABASE_USER}:${DATABASE_PASSWORD}@${DATABASE_HOST}:${DATABASE_PORT}/${DATABASE_NAME}", + }, + }; +}; + +const generateEnvFileContent = (config) => { + let configFile = ""; + + Object.entries(config).forEach(([section, variables]) => { + configFile += `# ${section}:\n`; + Object.entries(variables).forEach(([key, value]) => { + configFile += `${key}=${value}\n`; + }); + configFile += "\n"; + }); + + return configFile.trim(); +}; + +const generateAuthSecret = () => { + const length = 32; + const buffer = crypto.randomBytes(length); + return buffer.toString("base64"); +}; + +const ENV_PATH = "../next/.env"; +const BACKEND_ENV_PATH = "../platform/.env"; + +export const doesEnvFileExist = () => { + return fs.existsSync(ENV_PATH); +}; + +// Read the existing env file, test if it is missing any keys or contains any extra keys +export const testEnvFile = () => { + const data = fs.readFileSync(ENV_PATH, "utf8"); + + // Make a fake definition to compare the keys of + const envDefinition = getEnvDefinition({}, "", "", "", ""); + + const lines = data + .split("\n") + .filter((line) => !line.startsWith("#") && line.trim() !== ""); + const envKeysFromFile = lines.map((line) => line.split("=")[0]); + + const envKeysFromDef = Object.entries(envDefinition).flatMap( + ([section, entries]) => Object.keys(entries) + ); + + const missingFromFile = envKeysFromDef.filter( + (key) => !envKeysFromFile.includes(key) + ); + + if (missingFromFile.length > 0) { + let errorMessage = "\nYour ./next/.env is missing the following keys:\n"; + missingFromFile.forEach((key) => { + errorMessage += chalk.whiteBright(`- ❌ ${key}\n`); + }); + errorMessage += "\n"; + + errorMessage += chalk.red( + "We recommend deleting your .env file(s) and restarting this script." + ); + throw new Error(errorMessage); + } +}; + +export const saveEnvFile = (envFileContent) => { + fs.writeFileSync(ENV_PATH, envFileContent); + fs.writeFileSync(BACKEND_ENV_PATH, envFileContent); +}; diff --git a/cli/src/helpers.js b/cli/src/helpers.js new file mode 100644 index 0000000..093ca55 --- /dev/null +++ b/cli/src/helpers.js @@ -0,0 +1,26 @@ +import chalk from "chalk"; +import figlet from "figlet"; + +export const printTitle = () => { + console.log( + chalk.red( + figlet.textSync("AgentGPT", { + horizontalLayout: "full", + font: "ANSI Shadow", + }) + ) + ); + console.log( + "Welcome to the AgentGPT CLI! This CLI will generate the required .env files." + ); + console.log( + "Copies of the generated envs will be created in `./next/.env` and `./platform/.env`.\n" + ); +}; + +// Function to check if entered api key is in the correct format or empty +export const isValidKey = (apikey, pattern) => { + return (apikey === "" || pattern.test(apikey)) +}; + +export const validKeyErrorMessage = "\nInvalid api key. Please try again." diff --git a/cli/src/index.js b/cli/src/index.js new file mode 100644 index 0000000..2751357 --- /dev/null +++ b/cli/src/index.js @@ -0,0 +1,60 @@ +import inquirer from "inquirer"; +import dotenv from "dotenv"; +import { printTitle } from "./helpers.js"; +import { doesEnvFileExist, generateEnv, testEnvFile } from "./envGenerator.js"; +import { newEnvQuestions } from "./questions/newEnvQuestions.js"; +import { existingEnvQuestions } from "./questions/existingEnvQuestions.js"; +import { spawn } from "child_process"; +import chalk from "chalk"; + +const handleExistingEnv = () => { + console.log(chalk.yellow("Existing ./next/env file found. Validating...")); + + try { + testEnvFile(); + } catch (e) { + console.log(e.message); + return; + } + + inquirer.prompt(existingEnvQuestions).then((answers) => { + handleRunOption(answers.runOption); + }); +}; + +const handleNewEnv = () => { + inquirer.prompt(newEnvQuestions).then((answers) => { + dotenv.config({ path: "./.env" }); + generateEnv(answers); + console.log("\nEnv files successfully created!"); + handleRunOption(answers.runOption); + }); +}; + +const handleRunOption = (runOption) => { + if (runOption === "docker-compose") { + const dockerComposeUp = spawn("docker-compose", ["up", "--build"], { + stdio: "inherit", + }); + } + + if (runOption === "manual") { + console.log( + "Please go into the ./next folder and run `npm install && npm run dev`." + ); + console.log( + "Please also go into the ./platform folder and run `poetry install && poetry run python -m reworkd_platform`." + ); + console.log( + "Please use or update the MySQL database configuration in the env file(s)." + ); + } +}; + +printTitle(); + +if (doesEnvFileExist()) { + handleExistingEnv(); +} else { + handleNewEnv(); +} diff --git a/cli/src/questions/existingEnvQuestions.js b/cli/src/questions/existingEnvQuestions.js new file mode 100644 index 0000000..acc22df --- /dev/null +++ b/cli/src/questions/existingEnvQuestions.js @@ -0,0 +1,5 @@ +import { RUN_OPTION_QUESTION } from "./sharedQuestions.js"; + +export const existingEnvQuestions = [ + RUN_OPTION_QUESTION +]; diff --git a/cli/src/questions/newEnvQuestions.js b/cli/src/questions/newEnvQuestions.js new file mode 100644 index 0000000..b836e09 --- /dev/null +++ b/cli/src/questions/newEnvQuestions.js @@ -0,0 +1,87 @@ +import { isValidKey, validKeyErrorMessage } from "../helpers.js"; +import { RUN_OPTION_QUESTION } from "./sharedQuestions.js"; +import fetch from "node-fetch"; + +export const newEnvQuestions = [ + RUN_OPTION_QUESTION, + { + type: "input", + name: "OpenAIApiKey", + message: + "Enter your openai key (eg: sk...) or press enter to continue with no key:", + validate: async(apikey) => { + if(apikey === "") return true; + + if(!isValidKey(apikey, /^sk(-proj)?-[a-zA-Z0-9\-\_]+$/)) { + return validKeyErrorMessage + } + + const endpoint = "https://api.openai.com/v1/models" + const response = await fetch(endpoint, { + headers: { + "Authorization": `Bearer ${apikey}`, + }, + }); + if(!response.ok) { + return validKeyErrorMessage + } + + return true + }, + }, + { + type: "input", + name: "serpApiKey", + message: + "What is your SERP API key (https://serper.dev/)? Leave empty to disable web search.", + validate: async(apikey) => { + if(apikey === "") return true; + + if(!isValidKey(apikey, /^[a-zA-Z0-9]{40}$/)) { + return validKeyErrorMessage + } + + const endpoint = "https://google.serper.dev/search" + const response = await fetch(endpoint, { + method: 'POST', + headers: { + "X-API-KEY": apikey, + "Content-Type": "application/json", + }, + body: JSON.stringify({ + "q": "apple inc" + }), + }); + if(!response.ok) { + return validKeyErrorMessage + } + + return true + }, + }, + { + type: "input", + name: "replicateApiKey", + message: + "What is your Replicate API key (https://replicate.com/)? Leave empty to just use DALL-E for image generation.", + validate: async(apikey) => { + if(apikey === "") return true; + + if(!isValidKey(apikey, /^r8_[a-zA-Z0-9]{37}$/)) { + return validKeyErrorMessage + } + + const endpoint = "https://api.replicate.com/v1/models/replicate/hello-world" + const response = await fetch(endpoint, { + headers: { + "Authorization": `Token ${apikey}`, + }, + }); + if(!response.ok) { + return validKeyErrorMessage + } + + return true + }, + }, +]; diff --git a/cli/src/questions/sharedQuestions.js b/cli/src/questions/sharedQuestions.js new file mode 100644 index 0000000..44c4496 --- /dev/null +++ b/cli/src/questions/sharedQuestions.js @@ -0,0 +1,10 @@ +export const RUN_OPTION_QUESTION = { + type: 'list', + name: 'runOption', + choices: [ + { value: "docker-compose", name: "🐋 Docker-compose (Recommended)" }, + { value: "manual", name: "💪 Manual (Not recommended)" }, + ], + message: 'How will you be running AgentGPT?', + default: "docker-compose", +} diff --git a/cli/tsconfig.json b/cli/tsconfig.json new file mode 100644 index 0000000..3a8d654 --- /dev/null +++ b/cli/tsconfig.json @@ -0,0 +1,115 @@ +{ + "compilerOptions": { + /* Visit https://aka.ms/tsconfig to read more about this file */ + + /* Projects */ + // "incremental": true, /* Save .tsbuildinfo files to allow for incremental compilation of projects. */ + // "composite": true, /* Enable constraints that allow a TypeScript project to be used with project references. */ + // "tsBuildInfoFile": "./.tsbuildinfo", /* Specify the path to .tsbuildinfo incremental compilation file. */ + // "disableSourceOfProjectReferenceRedirect": true, /* Disable preferring source files instead of declaration files when referencing composite projects. */ + // "disableSolutionSearching": true, /* Opt a project out of multi-project reference checking when editing. */ + // "disableReferencedProjectLoad": true, /* Reduce the number of projects loaded automatically by TypeScript. */ + + /* Language and Environment */ + "target": "es2016", + /* Set the JavaScript language version for emitted JavaScript and include compatible library declarations. */ + // "src": [], /* Specify a set of bundled library declaration files that describe the target runtime environment. */ + // "jsx": "preserve", /* Specify what JSX code is generated. */ + // "experimentalDecorators": true, /* Enable experimental support for legacy experimental decorators. */ + // "emitDecoratorMetadata": true, /* Emit design-type metadata for decorated declarations in source files. */ + // "jsxFactory": "", /* Specify the JSX factory function used when targeting React JSX emit, e.g. 'React.createElement' or 'h'. */ + // "jsxFragmentFactory": "", /* Specify the JSX Fragment reference used for fragments when targeting React JSX emit e.g. 'React.Fragment' or 'Fragment'. */ + // "jsxImportSource": "", /* Specify module specifier used to import the JSX factory functions when using 'jsx: react-jsx*'. */ + // "reactNamespace": "", /* Specify the object invoked for 'createElement'. This only applies when targeting 'react' JSX emit. */ + // "noLib": true, /* Disable including any library files, including the default src.d.ts. */ + // "useDefineForClassFields": true, /* Emit ECMAScript-standard-compliant class fields. */ + // "moduleDetection": "auto", /* Control what method is used to detect module-format JS files. */ + + /* Modules */ + "module": "commonjs", + /* Specify what module code is generated. */ + // "rootDir": "./", /* Specify the root folder within your source files. */ + // "moduleResolution": "node10", /* Specify how TypeScript looks up a file from a given module specifier. */ + // "baseUrl": "./", /* Specify the base directory to resolve non-relative module names. */ + // "paths": {}, /* Specify a set of entries that re-map imports to additional lookup locations. */ + // "rootDirs": [], /* Allow multiple folders to be treated as one when resolving modules. */ + // "typeRoots": [], /* Specify multiple folders that act like './node_modules/@types'. */ + // "types": [], /* Specify type package names to be included without being referenced in a source file. */ + // "allowUmdGlobalAccess": true, /* Allow accessing UMD globals from modules. */ + // "moduleSuffixes": [], /* List of file name suffixes to search when resolving a module. */ + // "allowImportingTsExtensions": true, /* Allow imports to include TypeScript file extensions. Requires '--moduleResolution bundler' and either '--noEmit' or '--emitDeclarationOnly' to be set. */ + // "resolvePackageJsonExports": true, /* Use the package.json 'exports' field when resolving package imports. */ + // "resolvePackageJsonImports": true, /* Use the package.json 'imports' field when resolving imports. */ + // "customConditions": [], /* Conditions to set in addition to the resolver-specific defaults when resolving imports. */ + // "resolveJsonModule": true, /* Enable importing .json files. */ + // "allowArbitraryExtensions": true, /* Enable importing files with any extension, provided a declaration file is present. */ + // "noResolve": true, /* Disallow 'import's, 'require's or ''s from expanding the number of files TypeScript should add to a project. */ + + /* JavaScript Support */ + // "allowJs": true, /* Allow JavaScript files to be a part of your program. Use the 'checkJS' option to get errors from these files. */ + // "checkJs": true, /* Enable error reporting in type-checked JavaScript files. */ + // "maxNodeModuleJsDepth": 1, /* Specify the maximum folder depth used for checking JavaScript files from 'node_modules'. Only applicable with 'allowJs'. */ + + /* Emit */ + // "declaration": true, /* Generate .d.ts files from TypeScript and JavaScript files in your project. */ + // "declarationMap": true, /* Create sourcemaps for d.ts files. */ + // "emitDeclarationOnly": true, /* Only output d.ts files and not JavaScript files. */ + // "sourceMap": true, /* Create source map files for emitted JavaScript files. */ + // "inlineSourceMap": true, /* Include sourcemap files inside the emitted JavaScript. */ + // "outFile": "./", /* Specify a file that bundles all outputs into one JavaScript file. If 'declaration' is true, also designates a file that bundles all .d.ts output. */ + // "outDir": "./", /* Specify an output folder for all emitted files. */ + // "removeComments": true, /* Disable emitting comments. */ + // "noEmit": true, /* Disable emitting files from a compilation. */ + // "importHelpers": true, /* Allow importing helper functions from tslib once per project, instead of including them per-file. */ + // "importsNotUsedAsValues": "remove", /* Specify emit/checking behavior for imports that are only used for types. */ + // "downlevelIteration": true, /* Emit more compliant, but verbose and less performant JavaScript for iteration. */ + // "sourceRoot": "", /* Specify the root path for debuggers to find the reference source code. */ + // "mapRoot": "", /* Specify the location where debugger should locate map files instead of generated locations. */ + // "inlineSources": true, /* Include source code in the sourcemaps inside the emitted JavaScript. */ + // "emitBOM": true, /* Emit a UTF-8 Byte Order Mark (BOM) in the beginning of output files. */ + // "newLine": "crlf", /* Set the newline character for emitting files. */ + // "stripInternal": true, /* Disable emitting declarations that have '@internal' in their JSDoc comments. */ + // "noEmitHelpers": true, /* Disable generating custom helper functions like '__extends' in compiled output. */ + // "noEmitOnError": true, /* Disable emitting files if any type checking errors are reported. */ + // "preserveConstEnums": true, /* Disable erasing 'const enum' declarations in generated code. */ + // "declarationDir": "./", /* Specify the output directory for generated declaration files. */ + // "preserveValueImports": true, /* Preserve unused imported values in the JavaScript output that would otherwise be removed. */ + + /* Interop Constraints */ + // "isolatedModules": true, /* Ensure that each file can be safely transpiled without relying on other imports. */ + // "verbatimModuleSyntax": true, /* Do not transform or elide any imports or exports not marked as type-only, ensuring they are written in the output file's format based on the 'module' setting. */ + // "allowSyntheticDefaultImports": true, /* Allow 'import x from y' when a module doesn't have a default export. */ + "esModuleInterop": true, + /* Emit additional JavaScript to ease support for importing CommonJS modules. This enables 'allowSyntheticDefaultImports' for type compatibility. */ + // "preserveSymlinks": true, /* Disable resolving symlinks to their realpath. This correlates to the same flag in node. */ + "forceConsistentCasingInFileNames": true, + /* Ensure that casing is correct in imports. */ + + /* Type Checking */ + "strict": true, + /* Enable all strict type-checking options. */ + // "noImplicitAny": true, /* Enable error reporting for expressions and declarations with an implied 'any' type. */ + // "strictNullChecks": true, /* When type checking, take into account 'null' and 'undefined'. */ + // "strictFunctionTypes": true, /* When assigning functions, check to ensure parameters and the return values are subtype-compatible. */ + // "strictBindCallApply": true, /* Check that the arguments for 'bind', 'call', and 'apply' methods match the original function. */ + // "strictPropertyInitialization": true, /* Check for class properties that are declared but not set in the constructor. */ + // "noImplicitThis": true, /* Enable error reporting when 'this' is given the type 'any'. */ + // "useUnknownInCatchVariables": true, /* Default catch clause variables as 'unknown' instead of 'any'. */ + // "alwaysStrict": true, /* Ensure 'use strict' is always emitted. */ + // "noUnusedLocals": true, /* Enable error reporting when local variables aren't read. */ + // "noUnusedParameters": true, /* Raise an error when a function parameter isn't read. */ + // "exactOptionalPropertyTypes": true, /* Interpret optional property types as written, rather than adding 'undefined'. */ + // "noImplicitReturns": true, /* Enable error reporting for codepaths that do not explicitly return in a function. */ + // "noFallthroughCasesInSwitch": true, /* Enable error reporting for fallthrough cases in switch statements. */ + // "noUncheckedIndexedAccess": true, /* Add 'undefined' to a type when accessed using an index. */ + // "noImplicitOverride": true, /* Ensure overriding members in derived classes are marked with an override modifier. */ + // "noPropertyAccessFromIndexSignature": true, /* Enforces using indexed accessors for keys declared using an indexed type. */ + // "allowUnusedLabels": true, /* Disable error reporting for unused labels. */ + // "allowUnreachableCode": true, /* Disable error reporting for unreachable code. */ + + /* Completeness */ + // "skipDefaultLibCheck": true, /* Skip type checking .d.ts files that are included with TypeScript. */ + "skipLibCheck": true + /* Skip type checking all .d.ts files. */ + } +} diff --git a/db/Dockerfile b/db/Dockerfile new file mode 100644 index 0000000..ef013a4 --- /dev/null +++ b/db/Dockerfile @@ -0,0 +1,3 @@ +FROM mysql:8.0 + +ADD setup.sql /docker-entrypoint-initdb.d diff --git a/db/setup.sql b/db/setup.sql new file mode 100644 index 0000000..fb621cc --- /dev/null +++ b/db/setup.sql @@ -0,0 +1,11 @@ +-- Prisma requires DB creation privileges to create a shadow database (https://pris.ly/d/migrate-shadow) +-- This is not available to our user by default, so we must manually add this + +-- Create the user +CREATE USER IF NOT EXISTS 'reworkd_platform'@'%' IDENTIFIED BY 'reworkd_platform'; + +-- Grant the necessary permissions +GRANT CREATE, ALTER, DROP, INSERT, UPDATE, DELETE, SELECT ON *.* TO 'reworkd_platform'@'%'; + +-- Apply the changes +FLUSH PRIVILEGES; diff --git a/platform/.dockerignore b/platform/.dockerignore new file mode 100644 index 0000000..173ed8d --- /dev/null +++ b/platform/.dockerignore @@ -0,0 +1,145 @@ +### Python template + +deploy/ +.idea/ +.vscode/ +.git/ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ +poetry.lock diff --git a/platform/.editorconfig b/platform/.editorconfig new file mode 100644 index 0000000..eb831fe --- /dev/null +++ b/platform/.editorconfig @@ -0,0 +1,31 @@ +root = true + +[*] +tab_width = 4 +end_of_line = lf +max_line_length = 88 +ij_visual_guides = 88 +insert_final_newline = true +trim_trailing_whitespace = true + +[*.{js,py,html}] +charset = utf-8 + +[*.md] +trim_trailing_whitespace = false + +[*.{yml,yaml}] +indent_style = space +indent_size = 2 + +[Makefile] +indent_style = tab + +[.flake8] +indent_style = space +indent_size = 2 + +[*.py] +indent_style = space +indent_size = 4 +ij_python_from_import_parentheses_force_if_multiline = true diff --git a/platform/.flake8 b/platform/.flake8 new file mode 100644 index 0000000..e5c9aab --- /dev/null +++ b/platform/.flake8 @@ -0,0 +1,115 @@ +[flake8] +max-complexity = 6 +inline-quotes = double +max-line-length = 88 +extend-ignore = E203 +docstring_style=sphinx + +ignore = + ; Found `f` string + WPS305, + ; Missing docstring in public module + D100, + ; Missing docstring in magic method + D105, + ; Missing docstring in __init__ + D107, + ; Found `__init__.py` module with logic + WPS412, + ; Found class without a base class + WPS306, + ; Missing docstring in public nested class + D106, + ; First line should be in imperative mood + D401, + ; Found wrong variable name + WPS110, + ; Found `__init__.py` module with logic + WPS326, + ; Found string constant over-use + WPS226, + ; Found upper-case constant in a class + WPS115, + ; Found nested function + WPS602, + ; Found method without arguments + WPS605, + ; Found overused expression + WPS204, + ; Found too many module members + WPS202, + ; Found too high module cognitive complexity + WPS232, + ; line break before binary operator + W503, + ; Found module with too many imports + WPS201, + ; Inline strong start-string without end-string. + RST210, + ; Found nested class + WPS431, + ; Found wrong module name + WPS100, + ; Found too many methods + WPS214, + ; Found too long ``try`` body + WPS229, + ; Found unpythonic getter or setter + WPS615, + ; Found a line that starts with a dot + WPS348, + ; Found complex default value (for dependency injection) + WPS404, + ; not perform function calls in argument defaults (for dependency injection) + B008, + ; Model should define verbose_name in its Meta inner class + DJ10, + ; Model should define verbose_name_plural in its Meta inner class + DJ11, + ; Found mutable module constant. + WPS407, + ; Found too many empty lines in `def` + WPS473, + ; Found missing trailing comma + C812, + +per-file-ignores = + ; all tests + test_*.py,tests.py,tests_*.py,*/tests/*,conftest.py: + ; Use of assert detected + S101, + ; Found outer scope names shadowing + WPS442, + ; Found too many local variables + WPS210, + ; Found magic number + WPS432, + ; Missing parameter(s) in Docstring + DAR101, + ; Found too many arguments + WPS211, + + ; all init files + __init__.py: + ; ignore not used imports + F401, + ; ignore import with wildcard + F403, + ; Found wrong metadata variable + WPS410, + +exclude = + ./.cache, + ./.git, + ./.idea, + ./.mypy_cache, + ./.pytest_cache, + ./.venv, + ./venv, + ./env, + ./cached_venv, + ./docs, + ./deploy, + ./var, + ./.vscode, + *migrations*, diff --git a/platform/.gitignore b/platform/.gitignore new file mode 100644 index 0000000..767df6b --- /dev/null +++ b/platform/.gitignore @@ -0,0 +1,144 @@ +### Python template + +.idea/ +.vscode/ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class +*.pem + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +ssl/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +*.sqlite3 +*.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ +.env \ No newline at end of file diff --git a/platform/.pre-commit-config.yaml b/platform/.pre-commit-config.yaml new file mode 100644 index 0000000..fefc842 --- /dev/null +++ b/platform/.pre-commit-config.yaml @@ -0,0 +1,63 @@ +--- +# See https://pre-commit.com for more information +# See https://pre-commit.com/hooks.html for more hooks +repos: + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v2.4.0 + hooks: + - id: check-ast + - id: trailing-whitespace + - id: check-toml + - id: end-of-file-fixer + + - repo: https://github.com/asottile/add-trailing-comma + rev: v2.1.0 + hooks: + - id: add-trailing-comma + + - repo: https://github.com/macisamuele/language-formatters-pre-commit-hooks + rev: v2.1.0 + hooks: + - id: pretty-format-yaml + args: + - --autofix + - --preserve-quotes + - --indent=2 + + - repo: local + hooks: + - id: black + name: Format with Black + entry: poetry run black + language: system + types: [python] + + - id: autoflake + name: autoflake + entry: poetry run autoflake + language: system + types: [python] + args: [--in-place, --remove-all-unused-imports, --remove-duplicate-keys] + + - id: isort + name: isort + entry: poetry run isort + language: system + types: [python] + + - id: flake8 + name: Check with Flake8 + entry: poetry run flake8 + language: system + pass_filenames: false + types: [python] + args: [--count, .] + + - id: mypy + name: Validate types with MyPy + entry: poetry run mypy + language: system + types: [python] + pass_filenames: false + args: + - "reworkd_platform" diff --git a/platform/Dockerfile b/platform/Dockerfile new file mode 100644 index 0000000..fbdf5fa --- /dev/null +++ b/platform/Dockerfile @@ -0,0 +1,37 @@ +FROM python:3.11-slim-buster as prod + +RUN apt-get update && apt-get install -y \ + default-libmysqlclient-dev \ + gcc \ + pkg-config \ + openjdk-11-jdk \ + build-essential \ + && rm -rf /var/lib/apt/lists/* + +RUN pip install poetry==1.4.2 + +# Configuring poetry +RUN poetry config virtualenvs.create false + +# Copying requirements of a project +COPY pyproject.toml /app/src/ +WORKDIR /app/src + +# Installing requirements +RUN poetry install --only main +# Removing gcc +RUN apt-get purge -y \ + g++ \ + gcc \ + pkg-config \ + && rm -rf /var/lib/apt/lists/* + +# Copying actual application +COPY . /app/src/ +RUN poetry install --only main + +CMD ["/usr/local/bin/python", "-m", "reworkd_platform"] + +FROM prod as dev + +RUN poetry install diff --git a/platform/README.md b/platform/README.md new file mode 100644 index 0000000..db545ea --- /dev/null +++ b/platform/README.md @@ -0,0 +1,151 @@ +# reworkd_platform + +This project was generated using fastapi_template. + +## Poetry + +This project uses poetry. It's a modern dependency management +tool. + +To run the project use this set of commands: + +```bash +poetry install +poetry run python -m reworkd_platform +``` + +This will start the server on the configured host. + +You can find swagger documentation at `/api/docs`. + +You can read more about poetry here: https://python-poetry.org/ + +## Docker + +You can start the project with docker using this command: + +```bash +docker-compose -f deploy/docker-compose.yml --project-directory . up --build +``` + +If you want to develop in docker with autoreload add `-f deploy/docker-compose.dev.yml` to your docker command. +Like this: + +```bash +docker-compose -f deploy/docker-compose.yml -f deploy/docker-compose.dev.yml --project-directory . up --build +``` + +This command exposes the web application on port 8000, mounts current directory and enables autoreload. + +But you have to rebuild image every time you modify `poetry.lock` or `pyproject.toml` with this command: + +```bash +docker-compose -f deploy/docker-compose.yml --project-directory . build +``` + +## Project structure + +```bash +$ tree "reworkd_platform" +reworkd_platform +├── conftest.py # Fixtures for all tests. +├── db # module contains db configurations +│   ├── dao # Data Access Objects. Contains different classes to interact with database. +│   └── models # Package contains different models for ORMs. +├── __main__.py # Startup script. Starts uvicorn. +├── services # Package for different external services such as rabbit or redis etc. +├── settings.py # Main configuration settings for project. +├── static # Static content. +├── tests # Tests for project. +└── web # Package contains web server. Handlers, startup config. + ├── api # Package with all handlers. + │   └── router.py # Main router. + ├── application.py # FastAPI application configuration. + └── lifetime.py # Contains actions to perform on startup and shutdown. +``` + +## Configuration + +This application can be configured with environment variables. + +You can create `.env` file in the root directory and place all +environment variables here. + +All environment variables should start with "REWORKD_PLATFORM_" prefix. + +For example if you see in your "reworkd_platform/settings.py" a variable named like +`random_parameter`, you should provide the "REWORKD_PLATFORM_RANDOM_PARAMETER" +variable to configure the value. This behaviour can be changed by overriding `env_prefix` property +in `reworkd_platform.settings.Settings.Config`. + +An example of .env file: + +```bash +REWORKD_PLATFORM_RELOAD="True" +REWORKD_PLATFORM_PORT="8000" +REWORKD_PLATFORM_ENVIRONMENT="development" +``` + +You can read more about BaseSettings class here: https://pydantic-docs.helpmanual.io/usage/settings/ + +## Pre-commit + +To install pre-commit simply run inside the shell: + +```bash +pre-commit install +``` + +pre-commit is very useful to check your code before publishing it. +It's configured using .pre-commit-config.yaml file. + +By default it runs: + +* black (formats your code); +* mypy (validates types); +* isort (sorts imports in all files); +* flake8 (spots possibe bugs); + +You can read more about pre-commit here: https://pre-commit.com/ + +## Running tests + +If you want to run it in docker, simply run: + +```bash +docker-compose -f deploy/docker-compose.yml -f deploy/docker-compose.dev.yml --project-directory . run --build --rm api pytest -vv . +docker-compose -f deploy/docker-compose.yml -f deploy/docker-compose.dev.yml --project-directory . down +``` + +For running tests on your local machine. + +1. you need to start a database. + +I prefer doing it with docker: + +``` +docker run -p "3306:3306" -e "MYSQL_PASSWORD=reworkd_platform" -e "MYSQL_USER=reworkd_platform" -e "MYSQL_DATABASE=reworkd_platform" -e ALLOW_EMPTY_PASSWORD=yes bitnami/mysql:8.0.30 +``` + +2. Run the pytest. + +```bash +pytest -vv . +``` + +## Running linters + +```bash +# Flake +poetry run black . +poetry run autoflake --in-place --remove-duplicate-keys --remove-all-unused-imports -r . +poetry run flake8 +poetry run mypy . + +# Pytest +poetry run pytest -vv --cov="reworkd_platform" . + +# Bump packages +poetry self add poetry-plugin-up +poetry up --latest +``` diff --git a/platform/entrypoint.sh b/platform/entrypoint.sh new file mode 100644 index 0000000..4941d16 --- /dev/null +++ b/platform/entrypoint.sh @@ -0,0 +1,14 @@ +#!/usr/bin/env sh + +host=agentgpt_db +port=3306 + +until echo "SELECT 1;" | nc "$host" "$port" > /dev/null 2>&1; do + >&2 echo "Database is unavailable - Sleeping..." + sleep 2 +done + +>&2 echo "Database is available! 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b/platform/reworkd_platform/__init__.py new file mode 100644 index 0000000..9a4d017 --- /dev/null +++ b/platform/reworkd_platform/__init__.py @@ -0,0 +1 @@ +"""reworkd_platform package.""" diff --git a/platform/reworkd_platform/__main__.py b/platform/reworkd_platform/__main__.py new file mode 100644 index 0000000..16aee4a --- /dev/null +++ b/platform/reworkd_platform/__main__.py @@ -0,0 +1,20 @@ +import uvicorn + +from reworkd_platform.settings import settings + + +def main() -> None: + """Entrypoint of the application.""" + uvicorn.run( + "reworkd_platform.web.application:get_app", + workers=settings.workers_count, + host=settings.host, + port=settings.port, + reload=settings.reload, + log_level="debug", + factory=True, + ) + + +if __name__ == "__main__": + main() diff --git a/platform/reworkd_platform/conftest.py b/platform/reworkd_platform/conftest.py new file mode 100644 index 0000000..cd95c34 --- /dev/null +++ b/platform/reworkd_platform/conftest.py @@ -0,0 +1,107 @@ +from typing import Any, AsyncGenerator + +import pytest +from fastapi import FastAPI +from httpx import AsyncClient +from sqlalchemy.ext.asyncio import ( + AsyncEngine, + AsyncSession, + async_sessionmaker, + create_async_engine, +) + +from reworkd_platform.db.dependencies import get_db_session +from reworkd_platform.db.utils import create_database, drop_database +from reworkd_platform.settings import settings +from reworkd_platform.web.application import get_app + + +@pytest.fixture(scope="session") +def anyio_backend() -> str: + """ + Backend for anyio pytest plugin. + + :return: backend name. + """ + return "asyncio" + + +@pytest.fixture(scope="session") +async def _engine() -> AsyncGenerator[AsyncEngine, None]: + """ + Create engine and databases. + + :yield: new engine. + """ + from reworkd_platform.db.meta import meta # noqa: WPS433 + from reworkd_platform.db.models import load_all_models # noqa: WPS433 + + load_all_models() + + await create_database() + + engine = create_async_engine(str(settings.db_url)) + async with engine.begin() as conn: + await conn.run_sync(meta.create_all) + + try: + yield engine + finally: + await engine.dispose() + await drop_database() + + +@pytest.fixture +async def dbsession( + _engine: AsyncEngine, +) -> AsyncGenerator[AsyncSession, None]: + """ + Get session to database. + + Fixture that returns a SQLAlchemy session with a SAVEPOINT, and the rollback to it + after the test completes. + + :param _engine: current engine. + :yields: async session. + """ + connection = await _engine.connect() + trans = await connection.begin() + + session_maker = async_sessionmaker( + connection, + expire_on_commit=False, + ) + session = session_maker() + + try: + yield session + finally: + await session.close() + await trans.rollback() + await connection.close() + + +@pytest.fixture +def fastapi_app(dbsession: AsyncSession) -> FastAPI: + """ + Fixture for creating FastAPI app. + + :return: fastapi app with mocked dependencies. + """ + application = get_app() + application.dependency_overrides[get_db_session] = lambda: dbsession + return application # noqa: WPS331 + + +@pytest.fixture +async def client( + fastapi_app: FastAPI, anyio_backend: Any +) -> AsyncGenerator[AsyncClient, None]: + """ + Fixture that creates client for requesting server. + + :param fastapi_app: the application. + :yield: client for the app. + """ + async with AsyncClient(app=fastapi_app, base_url="http://test") as ac: + yield ac diff --git a/platform/reworkd_platform/constants.py b/platform/reworkd_platform/constants.py new file mode 100644 index 0000000..1b3daff --- /dev/null +++ b/platform/reworkd_platform/constants.py @@ -0,0 +1 @@ +ENV_PREFIX = "REWORKD_PLATFORM_" diff --git a/platform/reworkd_platform/db/__init__.py b/platform/reworkd_platform/db/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/platform/reworkd_platform/db/base.py b/platform/reworkd_platform/db/base.py new file mode 100644 index 0000000..d497f06 --- /dev/null +++ b/platform/reworkd_platform/db/base.py @@ -0,0 +1,68 @@ +import uuid +from datetime import datetime +from typing import Optional, Type, TypeVar + +from sqlalchemy import DateTime, String, func +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column + +from reworkd_platform.db.meta import meta +from reworkd_platform.web.api.http_responses import not_found + +T = TypeVar("T", bound="Base") + + +class Base(DeclarativeBase): + """Base for all models.""" + + metadata = meta + id: Mapped[str] = mapped_column( + String, + primary_key=True, + default=lambda _: str(uuid.uuid4()), + unique=True, + nullable=False, + ) + + @classmethod + async def get(cls: Type[T], session: AsyncSession, id_: str) -> Optional[T]: + return await session.get(cls, id_) + + @classmethod + async def get_or_404(cls: Type[T], session: AsyncSession, id_: str) -> T: + if model := await cls.get(session, id_): + return model + + raise not_found(detail=f"{cls.__name__}[{id_}] not found") + + async def save(self: T, session: AsyncSession) -> T: + session.add(self) + await session.flush() + return self + + async def delete(self: T, session: AsyncSession) -> None: + await session.delete(self) + + +class TrackedModel(Base): + """Base for all tracked models.""" + + __abstract__ = True + + create_date = mapped_column( + DateTime, name="create_date", server_default=func.now(), nullable=False + ) + update_date = mapped_column( + DateTime, name="update_date", onupdate=func.now(), nullable=True + ) + delete_date = mapped_column(DateTime, name="delete_date", nullable=True) + + async def delete(self, session: AsyncSession) -> None: + """Marks the model as deleted.""" + self.delete_date = datetime.now() + await self.save(session) + + +class UserMixin: + user_id = mapped_column(String, name="user_id", nullable=False) + organization_id = mapped_column(String, name="organization_id", nullable=True) diff --git a/platform/reworkd_platform/db/crud/__init__.py b/platform/reworkd_platform/db/crud/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/platform/reworkd_platform/db/crud/agent.py b/platform/reworkd_platform/db/crud/agent.py new file mode 100644 index 0000000..4762bfe --- /dev/null +++ b/platform/reworkd_platform/db/crud/agent.py @@ -0,0 +1,58 @@ +from fastapi import HTTPException +from sqlalchemy import and_, func, select +from sqlalchemy.ext.asyncio import AsyncSession + +from reworkd_platform.db.crud.base import BaseCrud +from reworkd_platform.db.models.agent import AgentRun, AgentTask +from reworkd_platform.schemas.agent import Loop_Step +from reworkd_platform.schemas.user import UserBase +from reworkd_platform.settings import settings +from reworkd_platform.web.api.errors import MaxLoopsError, MultipleSummaryError + + +class AgentCRUD(BaseCrud): + def __init__(self, session: AsyncSession, user: UserBase): + super().__init__(session) + self.user = user + + async def create_run(self, goal: str) -> AgentRun: + return await AgentRun( + user_id=self.user.id, + goal=goal, + ).save(self.session) + + async def create_task(self, run_id: str, type_: Loop_Step) -> AgentTask: + await self.validate_task_count(run_id, type_) + return await AgentTask( + run_id=run_id, + type_=type_, + ).save(self.session) + + async def validate_task_count(self, run_id: str, type_: str) -> None: + if not await AgentRun.get(self.session, run_id): + raise HTTPException(404, f"Run {run_id} not found") + + query = select(func.count(AgentTask.id)).where( + and_( + AgentTask.run_id == run_id, + AgentTask.type_ == type_, + ) + ) + + task_count = (await self.session.execute(query)).scalar_one() + max_ = settings.max_loops + + if task_count >= max_: + raise MaxLoopsError( + StopIteration(), + f"Max loops of {max_} exceeded, shutting down.", + 429, + should_log=False, + ) + + if type_ == "summarize" and task_count > 1: + raise MultipleSummaryError( + StopIteration(), + "Multiple summary tasks are not allowed", + 429, + ) diff --git a/platform/reworkd_platform/db/crud/base.py b/platform/reworkd_platform/db/crud/base.py new file mode 100644 index 0000000..3eebc0c --- /dev/null +++ b/platform/reworkd_platform/db/crud/base.py @@ -0,0 +1,10 @@ +from typing import TypeVar + +from sqlalchemy.ext.asyncio import AsyncSession + +T = TypeVar("T", bound="BaseCrud") + + +class BaseCrud: + def __init__(self, session: AsyncSession): + self.session = session diff --git a/platform/reworkd_platform/db/crud/oauth.py b/platform/reworkd_platform/db/crud/oauth.py new file mode 100644 index 0000000..911bd01 --- /dev/null +++ b/platform/reworkd_platform/db/crud/oauth.py @@ -0,0 +1,77 @@ +import secrets +from typing import Dict, Optional + +from fastapi import Depends +from sqlalchemy import func, select +from sqlalchemy.ext.asyncio import AsyncSession + +from reworkd_platform.db.crud.base import BaseCrud +from reworkd_platform.db.dependencies import get_db_session +from reworkd_platform.db.models.auth import OauthCredentials +from reworkd_platform.schemas import UserBase + + +class OAuthCrud(BaseCrud): + @classmethod + async def inject( + cls, + session: AsyncSession = Depends(get_db_session), + ) -> "OAuthCrud": + return cls(session) + + async def create_installation( + self, user: UserBase, provider: str, redirect_uri: Optional[str] + ) -> OauthCredentials: + return await OauthCredentials( + user_id=user.id, + organization_id=user.organization_id, + provider=provider, + state=secrets.token_hex(16), + redirect_uri=redirect_uri, + ).save(self.session) + + async def get_installation_by_state(self, state: str) -> Optional[OauthCredentials]: + query = select(OauthCredentials).filter(OauthCredentials.state == state) + + return (await self.session.execute(query)).scalar_one_or_none() + + async def get_installation_by_user_id( + self, user_id: str, provider: str + ) -> Optional[OauthCredentials]: + query = select(OauthCredentials).filter( + OauthCredentials.user_id == user_id, + OauthCredentials.provider == provider, + OauthCredentials.access_token_enc.isnot(None), + ) + + return (await self.session.execute(query)).scalars().first() + + async def get_installation_by_organization_id( + self, organization_id: str, provider: str + ) -> Optional[OauthCredentials]: + query = select(OauthCredentials).filter( + OauthCredentials.organization_id == organization_id, + OauthCredentials.provider == provider, + OauthCredentials.access_token_enc.isnot(None), + OauthCredentials.organization_id.isnot(None), + ) + + return (await self.session.execute(query)).scalars().first() + + async def get_all(self, user: UserBase) -> Dict[str, str]: + query = ( + select( + OauthCredentials.provider, + func.any_value(OauthCredentials.access_token_enc), + ) + .filter( + OauthCredentials.access_token_enc.isnot(None), + OauthCredentials.organization_id == user.organization_id, + ) + .group_by(OauthCredentials.provider) + ) + + return { + provider: token + for provider, token in (await self.session.execute(query)).all() + } diff --git a/platform/reworkd_platform/db/crud/organization.py b/platform/reworkd_platform/db/crud/organization.py new file mode 100644 index 0000000..e2c3321 --- /dev/null +++ b/platform/reworkd_platform/db/crud/organization.py @@ -0,0 +1,98 @@ +# from +from typing import List, Optional + +from fastapi import Depends +from pydantic import BaseModel +from sqlalchemy import and_, select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import aliased + +from reworkd_platform.db.crud.base import BaseCrud +from reworkd_platform.db.dependencies import get_db_session +from reworkd_platform.db.models.auth import Organization, OrganizationUser +from reworkd_platform.db.models.user import User +from reworkd_platform.schemas import UserBase +from reworkd_platform.web.api.dependencies import get_current_user + + +class OrgUser(BaseModel): + id: str + role: str + user: UserBase + + +class OrganizationUsers(BaseModel): + id: str + name: str + users: List[OrgUser] + + +class OrganizationCrud(BaseCrud): + def __init__(self, session: AsyncSession, user: UserBase): + super().__init__(session) + self.user = user + + @classmethod + def inject( + cls, + session: AsyncSession = Depends(get_db_session), + user: UserBase = Depends(get_current_user), + ) -> "OrganizationCrud": + return cls(session, user) + + async def create_organization(self, name: str) -> Organization: + return await Organization( + created_by=self.user.id, + name=name, + ).save(self.session) + + async def get_by_name(self, name: str) -> Optional[OrganizationUsers]: + owner = aliased(OrganizationUser, name="owner") + + query = ( + select( + Organization, + User, + OrganizationUser, + ) + .join( + OrganizationUser, + and_( + Organization.id == OrganizationUser.organization_id, + ), + ) + .join( + User, + User.id == OrganizationUser.user_id, + ) + .join( # Owner + owner, + and_( + OrganizationUser.organization_id == Organization.id, + OrganizationUser.user_id == self.user.id, + ), + ) + .filter(Organization.name == name) + ) + + rows = (await self.session.execute(query)).all() + if not rows: + return None + + org: Organization = rows[0][0] + return OrganizationUsers( + id=org.id, + name=org.name, + users=[ + OrgUser( + id=org_user.user_id, + role=org_user.role, + user=UserBase( + id=user.id, + email=user.email, + name=user.name, + ), + ) + for [_, user, org_user] in rows + ], + ) diff --git a/platform/reworkd_platform/db/crud/user.py b/platform/reworkd_platform/db/crud/user.py new file mode 100644 index 0000000..2e9f711 --- /dev/null +++ b/platform/reworkd_platform/db/crud/user.py @@ -0,0 +1,31 @@ +from typing import Optional + +from sqlalchemy import and_, select +from sqlalchemy.orm import selectinload + +from reworkd_platform.db.crud.base import BaseCrud +from reworkd_platform.db.models.auth import OrganizationUser +from reworkd_platform.db.models.user import UserSession + + +class UserCrud(BaseCrud): + async def get_user_session(self, token: str) -> UserSession: + query = ( + select(UserSession) + .filter(UserSession.session_token == token) + .options(selectinload(UserSession.user)) + ) + return (await self.session.execute(query)).scalar_one() + + async def get_user_organization( + self, user_id: str, organization_id: str + ) -> Optional[OrganizationUser]: + query = select(OrganizationUser).filter( + and_( + OrganizationUser.user_id == user_id, + OrganizationUser.organization_id == organization_id, + ) + ) + + # TODO: Only returns the first organization + return (await self.session.execute(query)).scalar() diff --git a/platform/reworkd_platform/db/dependencies.py b/platform/reworkd_platform/db/dependencies.py new file mode 100644 index 0000000..cdd6ce8 --- /dev/null +++ b/platform/reworkd_platform/db/dependencies.py @@ -0,0 +1,20 @@ +from typing import AsyncGenerator + +from sqlalchemy.ext.asyncio import AsyncSession +from starlette.requests import Request + + +async def get_db_session(request: Request) -> AsyncGenerator[AsyncSession, None]: + """ + Create and get database session. + + :param request: current request. + :yield: database session. + """ + session: AsyncSession = request.app.state.db_session_factory() + + try: # noqa: WPS501 + yield session + await session.commit() + finally: + await session.close() diff --git a/platform/reworkd_platform/db/meta.py b/platform/reworkd_platform/db/meta.py new file mode 100644 index 0000000..4c95254 --- /dev/null +++ b/platform/reworkd_platform/db/meta.py @@ -0,0 +1,3 @@ +import sqlalchemy as sa + +meta = sa.MetaData() diff --git a/platform/reworkd_platform/db/models/__init__.py b/platform/reworkd_platform/db/models/__init__.py new file mode 100644 index 0000000..b1452ae --- /dev/null +++ b/platform/reworkd_platform/db/models/__init__.py @@ -0,0 +1,14 @@ +"""reworkd_platform models.""" +import pkgutil +from pathlib import Path + + +def load_all_models() -> None: + """Load all models from this folder.""" + package_dir = Path(__file__).resolve().parent + modules = pkgutil.walk_packages( + path=[str(package_dir)], + prefix="reworkd_platform.db.models.", + ) + for module in modules: + __import__(module.name) # noqa: WPS421 diff --git a/platform/reworkd_platform/db/models/agent.py b/platform/reworkd_platform/db/models/agent.py new file mode 100644 index 0000000..a0fa58c --- /dev/null +++ b/platform/reworkd_platform/db/models/agent.py @@ -0,0 +1,24 @@ +from sqlalchemy import DateTime, String, Text, func +from sqlalchemy.orm import mapped_column + +from reworkd_platform.db.base import Base + + +class AgentRun(Base): + __tablename__ = "agent_run" + + user_id = mapped_column(String, nullable=False) + goal = mapped_column(Text, nullable=False) + create_date = mapped_column( + DateTime, name="create_date", server_default=func.now(), nullable=False + ) + + +class AgentTask(Base): + __tablename__ = "agent_task" + + run_id = mapped_column(String, nullable=False) + type_ = mapped_column(String, nullable=False, name="type") + create_date = mapped_column( + DateTime, name="create_date", server_default=func.now(), nullable=False + ) diff --git a/platform/reworkd_platform/db/models/auth.py b/platform/reworkd_platform/db/models/auth.py new file mode 100644 index 0000000..18a087d --- /dev/null +++ b/platform/reworkd_platform/db/models/auth.py @@ -0,0 +1,36 @@ +from sqlalchemy import DateTime, String +from sqlalchemy.orm import mapped_column + +from reworkd_platform.db.base import TrackedModel + + +class Organization(TrackedModel): + __tablename__ = "organization" + + name = mapped_column(String, nullable=False) + created_by = mapped_column(String, nullable=False) + + +class OrganizationUser(TrackedModel): + __tablename__ = "organization_user" + + user_id = mapped_column(String, nullable=False) + organization_id = mapped_column(String, nullable=False) + role = mapped_column(String, nullable=False, default="member") + + +class OauthCredentials(TrackedModel): + __tablename__ = "oauth_credentials" + + user_id = mapped_column(String, nullable=False) + organization_id = mapped_column(String, nullable=True) + provider = mapped_column(String, nullable=False) + state = mapped_column(String, nullable=False) + redirect_uri = mapped_column(String, nullable=False) + + # Post-installation + token_type = mapped_column(String, nullable=True) + access_token_enc = mapped_column(String, nullable=True) + access_token_expiration = mapped_column(DateTime, nullable=True) + refresh_token_enc = mapped_column(String, nullable=True) + scope = mapped_column(String, nullable=True) diff --git a/platform/reworkd_platform/db/models/user.py b/platform/reworkd_platform/db/models/user.py new file mode 100644 index 0000000..ba7d763 --- /dev/null +++ b/platform/reworkd_platform/db/models/user.py @@ -0,0 +1,38 @@ +from typing import List + +from sqlalchemy import DateTime, ForeignKey, Index, String, text +from sqlalchemy.orm import Mapped, mapped_column, relationship + +from reworkd_platform.db.base import Base + + +class UserSession(Base): + __tablename__ = "Session" + + session_token = mapped_column(String, unique=True, name="sessionToken") + user_id = mapped_column( + String, ForeignKey("User.id", ondelete="CASCADE"), name="userId" + ) + expires = mapped_column(DateTime) + + user = relationship("User") + + __table_args__ = (Index("user_id"),) + + +class User(Base): + __tablename__ = "User" + + name = mapped_column(String, nullable=True) + email = mapped_column(String, nullable=True, unique=True) + email_verified = mapped_column(DateTime, nullable=True, name="emailVerified") + image = mapped_column(String, nullable=True) + create_date = mapped_column( + DateTime, server_default=text("(now())"), name="createDate" + ) + + sessions: Mapped[List["UserSession"]] = relationship( + "UserSession", back_populates="user" + ) + + __table_args__ = (Index("email"),) diff --git a/platform/reworkd_platform/db/utils.py b/platform/reworkd_platform/db/utils.py new file mode 100644 index 0000000..3fe433c --- /dev/null +++ b/platform/reworkd_platform/db/utils.py @@ -0,0 +1,57 @@ +from ssl import CERT_REQUIRED + +from sqlalchemy import text +from sqlalchemy.ext.asyncio import AsyncEngine, create_async_engine + +from reworkd_platform.services.ssl import get_ssl_context +from reworkd_platform.settings import settings + + +def create_engine() -> AsyncEngine: + """ + Creates SQLAlchemy engine instance. + + :return: SQLAlchemy engine instance. + """ + if settings.environment == "development": + return create_async_engine( + str(settings.db_url), + echo=settings.db_echo, + ) + + ssl_context = get_ssl_context(settings) + ssl_context.verify_mode = CERT_REQUIRED + connect_args = {"ssl": ssl_context} + + return create_async_engine( + str(settings.db_url), + echo=settings.db_echo, + connect_args=connect_args, + ) + + +async def create_database() -> None: + """Create a database.""" + engine = create_async_engine(str(settings.db_url.with_path("/mysql"))) + + async with engine.connect() as conn: + database_existance = await conn.execute( + text( + "SELECT 1 FROM INFORMATION_SCHEMA.SCHEMATA" # noqa: S608 + f" WHERE SCHEMA_NAME='{settings.db_base}';", + ) + ) + database_exists = database_existance.scalar() == 1 + + if database_exists: + await drop_database() + + async with engine.connect() as conn: # noqa: WPS440 + await conn.execute(text(f"CREATE DATABASE {settings.db_base};")) + + +async def drop_database() -> None: + """Drop current database.""" + engine = create_async_engine(str(settings.db_url.with_path("/mysql"))) + async with engine.connect() as conn: + await conn.execute(text(f"DROP DATABASE {settings.db_base};")) diff --git a/platform/reworkd_platform/logging.py b/platform/reworkd_platform/logging.py new file mode 100644 index 0000000..5d785bb --- /dev/null +++ b/platform/reworkd_platform/logging.py @@ -0,0 +1,63 @@ +import logging +import sys +from typing import Union + +from loguru import logger + +from reworkd_platform.settings import settings + + +class InterceptHandler(logging.Handler): + """ + Default handler from examples in loguru documentation. + + This handler intercepts all log requests and + passes them to loguru. + + For more info see: + https://loguru.readthedocs.io/en/stable/overview.html#entirely-compatible-with-standard-logging + """ + + def emit(self, record: logging.LogRecord) -> None: # pragma: no cover + """ + Propagates logs to loguru. + + :param record: record to log. + """ + try: + level: Union[str, int] = logger.level(record.levelname).name + except ValueError: + level = record.levelno + + # Find caller from where originated the logged message + frame, depth = logging.currentframe(), 2 + while frame.f_code.co_filename == logging.__file__: + frame = frame.f_back # type: ignore + depth += 1 + + logger.opt(depth=depth, exception=record.exc_info).log( + level, + record.getMessage(), + ) + + +def configure_logging() -> None: # pragma: no cover + """Configures logging.""" + intercept_handler = InterceptHandler() + + logging.basicConfig(handlers=[intercept_handler], level=logging.NOTSET) + + for logger_name in logging.root.manager.loggerDict: + if logger_name.startswith("uvicorn."): + logging.getLogger(logger_name).handlers = [] + + # change handler for default uvicorn logger + logging.getLogger("uvicorn").handlers = [intercept_handler] + logging.getLogger("uvicorn.access").handlers = [intercept_handler] + + # set logs output, level and format + logger.remove() + logger.add( + sys.stdout, + level=settings.log_level, + ) diff --git a/platform/reworkd_platform/schemas/__init__.py b/platform/reworkd_platform/schemas/__init__.py new file mode 100644 index 0000000..6c82c9a --- /dev/null +++ b/platform/reworkd_platform/schemas/__init__.py @@ -0,0 +1,2 @@ +from .agent import ModelSettings +from .user import UserBase diff --git a/platform/reworkd_platform/schemas/agent.py b/platform/reworkd_platform/schemas/agent.py new file mode 100644 index 0000000..642b7a7 --- /dev/null +++ b/platform/reworkd_platform/schemas/agent.py @@ -0,0 +1,87 @@ +from datetime import datetime +from typing import Any, Dict, List, Literal, Optional + +from pydantic import BaseModel, Field, validator + +from reworkd_platform.web.api.agent.analysis import Analysis + +LLM_Model = Literal[ + "gpt-3.5-turbo", + "gpt-3.5-turbo-16k", + "gpt-4o", +] +Loop_Step = Literal[ + "start", + "analyze", + "execute", + "create", + "summarize", + "chat", +] +LLM_MODEL_MAX_TOKENS: Dict[LLM_Model, int] = { + "gpt-3.5-turbo": 4000, + "gpt-3.5-turbo-16k": 16000, + "gpt-4o": 8000, +} + + +class ModelSettings(BaseModel): + model: LLM_Model = Field(default="gpt-4o") + custom_api_key: Optional[str] = Field(default=None) + temperature: float = Field(default=0.9, ge=0.0, le=1.0) + max_tokens: int = Field(default=500, ge=0) + language: str = Field(default="English") + + @validator("max_tokens") + def validate_max_tokens(cls, v: float, values: Dict[str, Any]) -> float: + model = values["model"] + if v > (max_tokens := LLM_MODEL_MAX_TOKENS[model]): + raise ValueError(f"Model {model} only supports {max_tokens} tokens") + return v + + +class AgentRunCreate(BaseModel): + goal: str + model_settings: ModelSettings = Field(default=ModelSettings()) + + +class AgentRun(AgentRunCreate): + run_id: str + + +class AgentTaskAnalyze(AgentRun): + task: str + tool_names: List[str] = Field(default=[]) + model_settings: ModelSettings = Field(default=ModelSettings()) + + +class AgentTaskExecute(AgentRun): + task: str + analysis: Analysis + + +class AgentTaskCreate(AgentRun): + tasks: List[str] = Field(default=[]) + last_task: Optional[str] = Field(default=None) + result: Optional[str] = Field(default=None) + completed_tasks: List[str] = Field(default=[]) + + +class AgentSummarize(AgentRun): + results: List[str] = Field(default=[]) + + +class AgentChat(AgentRun): + message: str + results: List[str] = Field(default=[]) + + +class NewTasksResponse(BaseModel): + run_id: str + new_tasks: List[str] = Field(alias="newTasks") + + +class RunCount(BaseModel): + count: int + first_run: Optional[datetime] + last_run: Optional[datetime] diff --git a/platform/reworkd_platform/schemas/user.py b/platform/reworkd_platform/schemas/user.py new file mode 100644 index 0000000..a1180f8 --- /dev/null +++ b/platform/reworkd_platform/schemas/user.py @@ -0,0 +1,21 @@ +from typing import Optional + +from pydantic import BaseModel, Field + + +class OrganizationRole(BaseModel): + id: str + role: str + organization_id: str + + +class UserBase(BaseModel): + id: str + name: Optional[str] + email: Optional[str] + image: Optional[str] = Field(default=None) + organization: Optional[OrganizationRole] = Field(default=None) + + @property + def organization_id(self) -> Optional[str]: + return self.organization.organization_id if self.organization else None diff --git a/platform/reworkd_platform/services/__init__.py b/platform/reworkd_platform/services/__init__.py new file mode 100644 index 0000000..0bc6576 --- /dev/null +++ b/platform/reworkd_platform/services/__init__.py @@ -0,0 +1 @@ +"""Services for reworkd_platform.""" diff --git a/platform/reworkd_platform/services/anthropic.py b/platform/reworkd_platform/services/anthropic.py new file mode 100644 index 0000000..a15b36c --- /dev/null +++ b/platform/reworkd_platform/services/anthropic.py @@ -0,0 +1,42 @@ +from typing import Any, Optional + +from anthropic import AsyncAnthropic +from pydantic import BaseModel + + +class AbstractPrompt(BaseModel): + def to_string(self) -> str: + raise NotImplementedError + + +class HumanAssistantPrompt(AbstractPrompt): + assistant_prompt: str + human_prompt: str + + def to_string(self) -> str: + return ( + f"""\n\nHuman: {self.human_prompt}\n\nAssistant: {self.assistant_prompt}""" + ) + + +class ClaudeService: + def __init__(self, api_key: Optional[str], model: str = "claude-2"): + self.claude = AsyncAnthropic(api_key=api_key) + self.model = model + + async def completion( + self, + prompt: AbstractPrompt, + max_tokens_to_sample: int, + temperature: int = 0, + **kwargs: Any, + ) -> str: + return ( + await self.claude.completions.create( + model=self.model, + prompt=prompt.to_string(), + max_tokens_to_sample=max_tokens_to_sample, + temperature=temperature, + **kwargs, + ) + ).completion.strip() diff --git a/platform/reworkd_platform/services/aws/__init__.py b/platform/reworkd_platform/services/aws/__init__.py new file mode 100644 index 0000000..1f1ee98 --- /dev/null +++ b/platform/reworkd_platform/services/aws/__init__.py @@ -0,0 +1,7 @@ +import boto3 +from botocore.exceptions import ProfileNotFound + +try: + boto3.setup_default_session(profile_name="dev") +except ProfileNotFound: + pass diff --git a/platform/reworkd_platform/services/aws/s3.py b/platform/reworkd_platform/services/aws/s3.py new file mode 100644 index 0000000..e721015 --- /dev/null +++ b/platform/reworkd_platform/services/aws/s3.py @@ -0,0 +1,85 @@ +import io +import os +from typing import Dict, List, Optional + +from aiohttp import ClientError +from boto3 import client as boto3_client +from loguru import logger +from pydantic import BaseModel + +REGION = "us-east-1" + + +# noinspection SpellCheckingInspection +class PresignedPost(BaseModel): + url: str + fields: Dict[str, str] + + +class SimpleStorageService: + # TODO: would be great if with could make this async + + def __init__(self, bucket: Optional[str]) -> None: + if not bucket: + raise ValueError("Bucket name must be provided") + + self._client = boto3_client("s3", region_name=REGION) + self._bucket = bucket + + def create_presigned_upload_url( + self, + object_name: str, + ) -> PresignedPost: + return PresignedPost( + **self._client.generate_presigned_post( + Bucket=self._bucket, + Key=object_name, + ) + ) + + def create_presigned_download_url(self, object_name: str) -> str: + return self._client.generate_presigned_url( + "get_object", + Params={"Bucket": self._bucket, "Key": object_name}, + ) + + def upload_to_bucket( + self, + object_name: str, + file: io.BytesIO, + ) -> None: + try: + self._client.put_object( + Bucket=self._bucket, Key=object_name, Body=file.getvalue() + ) + except ClientError as e: + logger.error(e) + raise e + + def download_file(self, object_name: str, local_filename: str) -> None: + self._client.download_file( + Bucket=self._bucket, Key=object_name, Filename=local_filename + ) + + def list_keys(self, prefix: str) -> List[str]: + files = self._client.list_objects_v2(Bucket=self._bucket, Prefix=prefix) + if "Contents" not in files: + return [] + + return [file["Key"] for file in files["Contents"]] + + def download_folder(self, prefix: str, path: str) -> List[str]: + local_files = [] + for key in self.list_keys(prefix): + local_filename = os.path.join(path, key.split("/")[-1]) + self.download_file(key, local_filename) + local_files.append(local_filename) + + return local_files + + def delete_folder(self, prefix: str) -> None: + keys = self.list_keys(prefix) + self._client.delete_objects( + Bucket=self._bucket, + Delete={"Objects": [{"Key": key} for key in keys]}, + ) diff --git a/platform/reworkd_platform/services/oauth_installers.py b/platform/reworkd_platform/services/oauth_installers.py new file mode 100644 index 0000000..ff920c7 --- /dev/null +++ b/platform/reworkd_platform/services/oauth_installers.py @@ -0,0 +1,147 @@ +import json +from abc import ABC, abstractmethod +from datetime import datetime, timedelta +from urllib.parse import urlencode + +import aiohttp +from fastapi import Depends, Path + +from reworkd_platform.db.crud.oauth import OAuthCrud +from reworkd_platform.db.models.auth import OauthCredentials +from reworkd_platform.schemas import UserBase +from reworkd_platform.services.security import encryption_service +from reworkd_platform.settings import Settings +from reworkd_platform.settings import settings as platform_settings +from reworkd_platform.web.api.http_responses import forbidden + + +class OAuthInstaller(ABC): + def __init__(self, crud: OAuthCrud, settings: Settings): + self.crud = crud + self.settings = settings + + @abstractmethod + async def install(self, user: UserBase, redirect_uri: str) -> str: + raise NotImplementedError() + + @abstractmethod + async def install_callback(self, code: str, state: str) -> OauthCredentials: + raise NotImplementedError() + + @abstractmethod + async def uninstall(self, user: UserBase) -> bool: + raise NotImplementedError() + + @staticmethod + def store_access_token(creds: OauthCredentials, access_token: str) -> None: + creds.access_token_enc = encryption_service.encrypt(access_token) + + @staticmethod + def store_refresh_token(creds: OauthCredentials, refresh_token: str) -> None: + creds.refresh_token_enc = encryption_service.encrypt(refresh_token) + + +class SIDInstaller(OAuthInstaller): + PROVIDER = "sid" + + async def install(self, user: UserBase, redirect_uri: str) -> str: + # gracefully handle the case where the installation already exists + # this can happen if the user starts the process from multiple tabs + installation = await self.crud.get_installation_by_user_id( + user.id, self.PROVIDER + ) + if not installation: + installation = await self.crud.create_installation( + user, + self.PROVIDER, + redirect_uri, + ) + scopes = ["data:query", "offline_access"] + params = { + "client_id": self.settings.sid_client_id, + "redirect_uri": self.settings.sid_redirect_uri, + "response_type": "code", + "scope": " ".join(scopes), + "state": installation.state, + "audience": "https://api.sid.ai/api/v1/", + } + auth_url = "https://me.sid.ai/api/oauth/authorize" + auth_url += "?" + urlencode(params) + return auth_url + + async def install_callback(self, code: str, state: str) -> OauthCredentials: + creds = await self.crud.get_installation_by_state(state) + if not creds: + raise forbidden() + req = { + "grant_type": "authorization_code", + "client_id": self.settings.sid_client_id, + "client_secret": self.settings.sid_client_secret, + "redirect_uri": self.settings.sid_redirect_uri, + "code": code, + } + async with aiohttp.ClientSession() as session: + async with session.post( + "https://auth.sid.ai/oauth/token", + headers={ + "Content-Type": "application/json", + "Accept": "application/json", + }, + data=json.dumps(req), + ) as response: + res_data = await response.json() + + OAuthInstaller.store_access_token(creds, res_data["access_token"]) + OAuthInstaller.store_refresh_token(creds, res_data["refresh_token"]) + creds.access_token_expiration = datetime.now() + timedelta( + seconds=res_data["expires_in"] + ) + return await creds.save(self.crud.session) + + async def uninstall(self, user: UserBase) -> bool: + creds = await self.crud.get_installation_by_user_id(user.id, self.PROVIDER) + # check if credentials exist and contain a refresh token + if not creds: + return False + + # use refresh token to revoke access + delete_token = encryption_service.decrypt(creds.refresh_token_enc) + # delete credentials from database + await self.crud.session.delete(creds) + + # revoke refresh token + async with aiohttp.ClientSession() as session: + await session.post( + "https://auth.sid.ai/oauth/revoke", + headers={ + "Content-Type": "application/json", + }, + data=json.dumps( + { + "client_id": self.settings.sid_client_id, + "client_secret": self.settings.sid_client_secret, + "token": delete_token, + } + ), + ) + return True + + +integrations = { + SIDInstaller.PROVIDER: SIDInstaller, +} + + +def installer_factory( + provider: str = Path(description="OAuth Provider"), + crud: OAuthCrud = Depends(OAuthCrud.inject), +) -> OAuthInstaller: + """Factory for OAuth installers + Args: + provider (str): OAuth Provider (can be slack, github, etc.) (injected) + crud (OAuthCrud): OAuth Crud (injected) + """ + + if provider in integrations: + return integrations[provider](crud, platform_settings) + raise NotImplementedError() diff --git a/platform/reworkd_platform/services/pinecone/__init__.py b/platform/reworkd_platform/services/pinecone/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/platform/reworkd_platform/services/pinecone/lifetime.py b/platform/reworkd_platform/services/pinecone/lifetime.py new file mode 100644 index 0000000..be44019 --- /dev/null +++ b/platform/reworkd_platform/services/pinecone/lifetime.py @@ -0,0 +1,11 @@ +import pinecone + +from reworkd_platform.settings import settings + + +def init_pinecone() -> None: + if settings.pinecone_api_key and settings.pinecone_environment: + pinecone.init( + api_key=settings.pinecone_api_key, + environment=settings.pinecone_environment, + ) diff --git a/platform/reworkd_platform/services/pinecone/pinecone.py b/platform/reworkd_platform/services/pinecone/pinecone.py new file mode 100644 index 0000000..db64ad9 --- /dev/null +++ b/platform/reworkd_platform/services/pinecone/pinecone.py @@ -0,0 +1,98 @@ +from __future__ import annotations + +import uuid +from typing import Any, Dict, List + +from langchain.embeddings import OpenAIEmbeddings +from langchain.embeddings.base import Embeddings +from pinecone import Index # import doesnt work on plane wifi +from pydantic import BaseModel + +from reworkd_platform.settings import settings +from reworkd_platform.timer import timed_function +from reworkd_platform.web.api.memory.memory import AgentMemory + +OPENAI_EMBEDDING_DIM = 1536 + + +class Row(BaseModel): + id: str + values: List[float] + metadata: Dict[str, Any] = {} + + +class QueryResult(BaseModel): + id: str + score: float + metadata: Dict[str, Any] = {} + + +class PineconeMemory(AgentMemory): + """ + Wrapper around pinecone + """ + + def __init__(self, index_name: str, namespace: str = ""): + self.index = Index(settings.pinecone_index_name) + self.namespace = namespace or index_name + + @timed_function(level="DEBUG") + def __enter__(self) -> AgentMemory: + self.embeddings: Embeddings = OpenAIEmbeddings( + client=None, # Meta private value but mypy will complain its missing + openai_api_key=settings.openai_api_key, + ) + + return self + + def __exit__(self, *args: Any, **kwargs: Any) -> None: + pass + + @timed_function(level="DEBUG") + def reset_class(self) -> None: + self.index.delete(delete_all=True, namespace=self.namespace) + + @timed_function(level="DEBUG") + def add_tasks(self, tasks: List[str]) -> List[str]: + if len(tasks) == 0: + return [] + + embeds = self.embeddings.embed_documents(tasks) + + if len(tasks) != len(embeds): + raise ValueError("Embeddings and tasks are not the same length") + + rows = [ + Row(values=vector, metadata={"text": tasks[i]}, id=str(uuid.uuid4())) + for i, vector in enumerate(embeds) + ] + + self.index.upsert( + vectors=[row.dict() for row in rows], namespace=self.namespace + ) + + return [row.id for row in rows] + + @timed_function(level="DEBUG") + def get_similar_tasks( + self, text: str, score_threshold: float = 0.95 + ) -> List[QueryResult]: + # Get similar tasks + vector = self.embeddings.embed_query(text) + results = self.index.query( + vector=vector, + top_k=5, + include_metadata=True, + include_values=True, + namespace=self.namespace, + ) + + return [ + QueryResult(id=row.id, score=row.score, metadata=row.metadata) + for row in getattr(results, "matches", []) + if row.score > score_threshold + ] + + @staticmethod + def should_use() -> bool: + return False diff --git a/platform/reworkd_platform/services/security.py b/platform/reworkd_platform/services/security.py new file mode 100644 index 0000000..8f478d1 --- /dev/null +++ b/platform/reworkd_platform/services/security.py @@ -0,0 +1,23 @@ +from typing import Union + +from cryptography.fernet import Fernet, InvalidToken + +from reworkd_platform.settings import settings +from reworkd_platform.web.api.http_responses import forbidden + + +class EncryptionService: + def __init__(self, secret: bytes): + self.fernet = Fernet(secret) + + def encrypt(self, text: str) -> bytes: + return self.fernet.encrypt(text.encode("utf-8")) + + def decrypt(self, encoded_bytes: Union[bytes, str]) -> str: + try: + return self.fernet.decrypt(encoded_bytes).decode("utf-8") + except InvalidToken: + raise forbidden() + + +encryption_service = EncryptionService(settings.secret_signing_key.encode()) diff --git a/platform/reworkd_platform/services/ssl.py b/platform/reworkd_platform/services/ssl.py new file mode 100644 index 0000000..02289af --- /dev/null +++ b/platform/reworkd_platform/services/ssl.py @@ -0,0 +1,25 @@ +from ssl import SSLContext, create_default_context +from typing import List, Optional + +from reworkd_platform.settings import Settings + +MACOS_CERT_PATH = "/etc/ssl/cert.pem" +DOCKER_CERT_PATH = "/etc/ssl/certs/ca-certificates.crt" + + +def get_ssl_context( + settings: Settings, paths: Optional[List[str]] = None +) -> SSLContext: + if settings.db_ca_path: + return create_default_context(cafile=settings.db_ca_path) + + for path in paths or [MACOS_CERT_PATH, DOCKER_CERT_PATH]: + try: + return create_default_context(cafile=path) + except FileNotFoundError: + continue + + raise ValueError( + "No CA certificates found for your OS. To fix this, please run change " + "db_ca_path in your settings.py to point to a valid CA certificate file." + ) diff --git a/platform/reworkd_platform/services/tokenizer/__init__.py b/platform/reworkd_platform/services/tokenizer/__init__.py new file mode 100644 index 0000000..cbbb2d7 --- /dev/null +++ b/platform/reworkd_platform/services/tokenizer/__init__.py @@ -0,0 +1 @@ +"""Token Service""" diff --git a/platform/reworkd_platform/services/tokenizer/dependencies.py b/platform/reworkd_platform/services/tokenizer/dependencies.py new file mode 100644 index 0000000..6e73487 --- /dev/null +++ b/platform/reworkd_platform/services/tokenizer/dependencies.py @@ -0,0 +1,7 @@ +from fastapi import Request + +from reworkd_platform.services.tokenizer.token_service import TokenService + + +def get_token_service(request: Request) -> TokenService: + return TokenService(request.app.state.token_encoding) diff --git a/platform/reworkd_platform/services/tokenizer/lifetime.py b/platform/reworkd_platform/services/tokenizer/lifetime.py new file mode 100644 index 0000000..01e207f --- /dev/null +++ b/platform/reworkd_platform/services/tokenizer/lifetime.py @@ -0,0 +1,16 @@ +import tiktoken +from fastapi import FastAPI + +ENCODING_NAME = "cl100k_base" # gpt-4, gpt-3.5-turbo, text-embedding-ada-002 + + +def init_tokenizer(app: FastAPI) -> None: # pragma: no cover + """ + Initialize tokenizer. + + TikToken downloads the encoding on start. It is then + stored in the state of the application. + + :param app: current application. + """ + app.state.token_encoding = tiktoken.get_encoding(ENCODING_NAME) diff --git a/platform/reworkd_platform/services/tokenizer/token_service.py b/platform/reworkd_platform/services/tokenizer/token_service.py new file mode 100644 index 0000000..b457c5f --- /dev/null +++ b/platform/reworkd_platform/services/tokenizer/token_service.py @@ -0,0 +1,33 @@ +from tiktoken import Encoding, get_encoding + +from reworkd_platform.schemas.agent import LLM_MODEL_MAX_TOKENS, LLM_Model +from reworkd_platform.web.api.agent.model_factory import WrappedChatOpenAI + + +class TokenService: + def __init__(self, encoding: Encoding): + self.encoding = encoding + + @classmethod + def create(cls, encoding: str = "cl100k_base") -> "TokenService": + return cls(get_encoding(encoding)) + + def tokenize(self, text: str) -> list[int]: + return self.encoding.encode(text) + + def detokenize(self, tokens: list[int]) -> str: + return self.encoding.decode(tokens) + + def count(self, text: str) -> int: + return len(self.tokenize(text)) + + def get_completion_space(self, model: LLM_Model, *prompts: str) -> int: + max_allowed_tokens = LLM_MODEL_MAX_TOKENS.get(model, 4000) + prompt_tokens = sum([self.count(p) for p in prompts]) + return max_allowed_tokens - prompt_tokens + + def calculate_max_tokens(self, model: WrappedChatOpenAI, *prompts: str) -> None: + requested_tokens = self.get_completion_space(model.model_name, *prompts) + + model.max_tokens = min(model.max_tokens, requested_tokens) + model.max_tokens = max(model.max_tokens, 1) diff --git a/platform/reworkd_platform/settings.py b/platform/reworkd_platform/settings.py new file mode 100644 index 0000000..fbed802 --- /dev/null +++ b/platform/reworkd_platform/settings.py @@ -0,0 +1,178 @@ +import platform +from pathlib import Path +from tempfile import gettempdir +from typing import List, Literal, Optional, Union + +from pydantic import BaseSettings +from yarl import URL + +from reworkd_platform.constants import ENV_PREFIX + +TEMP_DIR = Path(gettempdir()) + +LOG_LEVEL = Literal[ + "NOTSET", + "DEBUG", + "INFO", + "WARNING", + "ERROR", + "FATAL", +] + + +SASL_MECHANISM = Literal[ + "PLAIN", + "SCRAM-SHA-256", +] + +ENVIRONMENT = Literal[ + "development", + "production", +] + + +class Settings(BaseSettings): + """ + Application settings. + + These parameters can be configured + with environment variables. + """ + + # Application settings + host: str = "0.0.0.0" + port: int = 8000 + workers_count: int = 1 + reload: bool = True + environment: ENVIRONMENT = "development" + log_level: LOG_LEVEL = "DEBUG" + + # Make sure you update this with your own secret key + # Must be 32 url-safe base64-encoded bytes + secret_signing_key: str = "JF52S66x6WMoifP5gZreiguYs9LYMn0lkXqgPYoNMD0=" + + # OpenAI + openai_api_base: str = "https://api.openai.com/v1" + openai_api_key: str = "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" + openai_api_version: str = "2023-08-01-preview" + azure_openai_deployment_name: str = "" + + # Helicone + helicone_api_base: str = "https://oai.hconeai.com/v1" + helicone_api_key: Optional[str] = None + + replicate_api_key: Optional[str] = None + serp_api_key: Optional[str] = None + + # Frontend URL for CORS + frontend_url: str = "https://allinix.ai" + allowed_origins_regex: Optional[str] = None + + # Variables for the database + db_host: str = "65.19.178.35" + db_port: int = 3307 + db_user: str = "reworkd_platform" + db_pass: str = "reworkd_platform" + db_base: str = "default" + db_echo: bool = False + db_ca_path: Optional[str] = None + + # Variables for Pinecone DB + pinecone_api_key: Optional[str] = None + pinecone_index_name: Optional[str] = None + pinecone_environment: Optional[str] = None + + # Sentry's configuration. + sentry_dsn: Optional[str] = None + sentry_sample_rate: float = 1.0 + + kafka_bootstrap_servers: Union[str, List[str]] = [] + kafka_username: Optional[str] = None + kafka_password: Optional[str] = None + kafka_ssal_mechanism: SASL_MECHANISM = "PLAIN" + + # Websocket settings + pusher_app_id: Optional[str] = None + pusher_key: Optional[str] = None + pusher_secret: Optional[str] = None + pusher_cluster: Optional[str] = None + + # Application Settings + ff_mock_mode_enabled: bool = False # Controls whether calls are mocked + max_loops: int = 25 # Maximum number of loops to run + + # Settings for sid + sid_client_id: Optional[str] = None + sid_client_secret: Optional[str] = None + sid_redirect_uri: Optional[str] = None + + @property + def kafka_consumer_group(self) -> str: + """ + Kafka consumer group will be the name of the host in development + mode, making it easier to share a dev cluster. + """ + + if self.environment == "development": + return platform.node() + + return "platform" + + @property + def db_url(self) -> URL: + return URL.build( + scheme="mysql+aiomysql", + host=self.db_host, + port=self.db_port, + user=self.db_user, + password=self.db_pass, + path=f"/{self.db_base}", + ) + + @property + def pusher_enabled(self) -> bool: + return all( + [ + self.pusher_app_id, + self.pusher_key, + self.pusher_secret, + self.pusher_cluster, + ] + ) + + @property + def kafka_enabled(self) -> bool: + return all( + [ + self.kafka_bootstrap_servers, + self.kafka_username, + self.kafka_password, + ] + ) + + @property + def helicone_enabled(self) -> bool: + return all( + [ + self.helicone_api_base, + self.helicone_api_key, + ] + ) + + @property + def sid_enabled(self) -> bool: + return all( + [ + self.sid_client_id, + self.sid_client_secret, + self.sid_redirect_uri, + ] + ) + + class Config: + env_file = ".env" + env_prefix = ENV_PREFIX + env_file_encoding = "utf-8" + + +settings = Settings() diff --git a/platform/reworkd_platform/tests/__init__.py b/platform/reworkd_platform/tests/__init__.py new file mode 100644 index 0000000..59a6c64 --- /dev/null +++ b/platform/reworkd_platform/tests/__init__.py @@ -0,0 +1 @@ +"""Tests for reworkd_platform.""" diff --git a/platform/reworkd_platform/tests/agent/test_analysis.py b/platform/reworkd_platform/tests/agent/test_analysis.py new file mode 100644 index 0000000..e240a1e --- /dev/null +++ b/platform/reworkd_platform/tests/agent/test_analysis.py @@ -0,0 +1,31 @@ +import pytest +from pydantic import ValidationError + +from reworkd_platform.web.api.agent.analysis import Analysis +from reworkd_platform.web.api.agent.tools.tools import get_default_tool, get_tool_name + + +def test_analysis_model() -> None: + valid_tool_name = get_tool_name(get_default_tool()) + analysis = Analysis(action=valid_tool_name, arg="arg", reasoning="reasoning") + + assert analysis.action == valid_tool_name + assert analysis.arg == "arg" + assert analysis.reasoning == "reasoning" + + +def test_analysis_model_search_empty_arg() -> None: + with pytest.raises(ValidationError): + Analysis(action="search", arg="", reasoning="reasoning") + + +def test_analysis_model_search_non_empty_arg() -> None: + analysis = Analysis(action="search", arg="non-empty arg", reasoning="reasoning") + assert analysis.action == "search" + assert analysis.arg == "non-empty arg" + assert analysis.reasoning == "reasoning" + + +def test_analysis_model_invalid_tool() -> None: + with pytest.raises(ValidationError): + Analysis(action="invalid tool name", arg="test argument", reasoning="reasoning") diff --git a/platform/reworkd_platform/tests/agent/test_crud.py b/platform/reworkd_platform/tests/agent/test_crud.py new file mode 100644 index 0000000..1f2ab91 --- /dev/null +++ b/platform/reworkd_platform/tests/agent/test_crud.py @@ -0,0 +1,63 @@ +from unittest.mock import AsyncMock + +import pytest +from fastapi import HTTPException +from pytest_mock import MockerFixture + +from reworkd_platform.db.crud.agent import AgentCRUD +from reworkd_platform.settings import settings +from reworkd_platform.web.api.errors import MaxLoopsError, MultipleSummaryError + + +@pytest.mark.asyncio +async def test_validate_task_count_no_error(mocker) -> None: + mock_agent_run_exists(mocker, True) + session = mock_session_with_run_count(mocker, 0) + agent_crud: AgentCRUD = AgentCRUD(session, mocker.MagicMock()) + + # Doesn't throw an exception + await agent_crud.validate_task_count("test", "summarize") + + +@pytest.mark.asyncio +async def test_validate_task_count_when_run_not_found(mocker: MockerFixture) -> None: + mock_agent_run_exists(mocker, False) + agent_crud: AgentCRUD = AgentCRUD(mocker.AsyncMock(), mocker.MagicMock()) + + with pytest.raises(HTTPException): + await agent_crud.validate_task_count("test", "test") + + +@pytest.mark.asyncio +async def test_validate_task_count_max_loops_error(mocker: MockerFixture) -> None: + mock_agent_run_exists(mocker, True) + session = mock_session_with_run_count(mocker, settings.max_loops) + agent_crud: AgentCRUD = AgentCRUD(session, mocker.AsyncMock()) + + with pytest.raises(MaxLoopsError): + await agent_crud.validate_task_count("test", "test") + + +@pytest.mark.asyncio +async def test_validate_task_count_multiple_summary_error( + mocker: MockerFixture, +) -> None: + mock_agent_run_exists(mocker, True) + session = mock_session_with_run_count(mocker, 2) + agent_crud: AgentCRUD = AgentCRUD(session, mocker.MagicMock()) + + with pytest.raises(MultipleSummaryError): + await agent_crud.validate_task_count("test", "summarize") + + +def mock_agent_run_exists(mocker: MockerFixture, exists: bool) -> None: + mocker.patch("reworkd_platform.db.models.agent.AgentRun.get", return_value=exists) + + +def mock_session_with_run_count(mocker: MockerFixture, run_count: int) -> AsyncMock: + session = mocker.AsyncMock() + scalar_mock = mocker.MagicMock() + + session.execute.return_value = scalar_mock + scalar_mock.scalar_one.return_value = run_count + return session diff --git a/platform/reworkd_platform/tests/agent/test_model_factory.py b/platform/reworkd_platform/tests/agent/test_model_factory.py new file mode 100644 index 0000000..5ff8b16 --- /dev/null +++ b/platform/reworkd_platform/tests/agent/test_model_factory.py @@ -0,0 +1,138 @@ +import itertools + +import pytest +from langchain.chat_models import AzureChatOpenAI, ChatOpenAI + +from reworkd_platform.schemas import ModelSettings, UserBase +from reworkd_platform.settings import Settings +from reworkd_platform.web.api.agent.model_factory import ( + WrappedAzureChatOpenAI, + WrappedChatOpenAI, + create_model, + get_base_and_headers, +) + + +def test_helicone_enabled_without_custom_api_key(): + model_settings = ModelSettings() + user = UserBase(id="user_id") + settings = Settings( + helicone_api_key="some_key", + helicone_api_base="helicone_base", + openai_api_base="openai_base", + ) + + base, headers, use_helicone = get_base_and_headers(settings, model_settings, user) + + assert use_helicone is True + assert base == "helicone_base" + assert headers == { + "Helicone-Auth": "Bearer some_key", + "Helicone-Cache-Enabled": "true", + "Helicone-User-Id": "user_id", + "Helicone-OpenAI-Api-Base": "openai_base", + } + + +def test_helicone_disabled(): + model_settings = ModelSettings() + user = UserBase(id="user_id") + settings = Settings() + + base, headers, use_helicone = get_base_and_headers(settings, model_settings, user) + assert base == "https://api.openai.com/v1" + assert headers is None + assert use_helicone is False + + +def test_helicone_enabled_with_custom_api_key(): + model_settings = ModelSettings( + custom_api_key="custom_key", + ) + user = UserBase(id="user_id") + settings = Settings( + openai_api_base="openai_base", + helicone_api_key="some_key", + helicone_api_base="helicone_base", + ) + + base, headers, use_helicone = get_base_and_headers(settings, model_settings, user) + + assert base == "https://api.openai.com/v1" + assert headers is None + assert use_helicone is False + + +@pytest.mark.parametrize( + "streaming, use_azure", + list( + itertools.product( + [True, False], + [True, False], + ) + ), +) +def test_create_model(streaming, use_azure): + user = UserBase(id="user_id") + settings = Settings() + model_settings = ModelSettings( + temperature=0.7, + model="gpt-4o", + max_tokens=100, + ) + + settings.openai_api_base = ( + "https://api.openai.com" if not use_azure else "https://oai.azure.com" + ) + settings.openai_api_key = "key" + settings.openai_api_version = "version" + + result = create_model(settings, model_settings, user, streaming) + assert issubclass(result.__class__, WrappedChatOpenAI) + assert issubclass(result.__class__, ChatOpenAI) + + # Check if the required keys are set properly + assert result.openai_api_base == settings.openai_api_base + assert result.openai_api_key == settings.openai_api_key + assert result.temperature == model_settings.temperature + assert result.max_tokens == model_settings.max_tokens + assert result.streaming == streaming + assert result.max_retries == 5 + + # For Azure specific checks + if use_azure: + assert isinstance(result, WrappedAzureChatOpenAI) + assert issubclass(result.__class__, AzureChatOpenAI) + assert result.openai_api_version == settings.openai_api_version + assert result.deployment_name == "gpt-35-turbo" + assert result.openai_api_type == "azure" + + +@pytest.mark.parametrize( + "model_settings, streaming", + list( + itertools.product( + [ + ModelSettings( + customTemperature=0.222, + customModelName="gpt-4", + maxTokens=1234, + ), + ModelSettings(), + ], + [True, False], + ) + ), +) +def test_custom_model_settings(model_settings: ModelSettings, streaming: bool): + model = create_model( + Settings(), + model_settings, + UserBase(id="", email="test@example.com"), + streaming=streaming, + ) + + assert model.temperature == model_settings.temperature + assert model.model_name.startswith(model_settings.model) + assert model.max_tokens == model_settings.max_tokens + assert model.streaming == streaming diff --git a/platform/reworkd_platform/tests/agent/test_task_output_parser.py b/platform/reworkd_platform/tests/agent/test_task_output_parser.py new file mode 100644 index 0000000..aa85055 --- /dev/null +++ b/platform/reworkd_platform/tests/agent/test_task_output_parser.py @@ -0,0 +1,203 @@ +from typing import List, Type + +import pytest +from langchain.schema import OutputParserException + +from reworkd_platform.web.api.agent.task_output_parser import ( + TaskOutputParser, + extract_array, + real_tasks_filter, + remove_prefix, +) + + +@pytest.mark.parametrize( + "input_text,expected_output", + [ + ( + '["Task 1: Do something", "Task 2: Do something else", "Task 3: Do ' + 'another thing"]', + ["Do something", "Do something else", "Do another thing"], + ), + ( + 'Some random stuff ["1: Hello"]', + ["Hello"], + ), + ( + "[]", + [], + ), + ], +) +def test_parse_success(input_text: str, expected_output: List[str]) -> None: + parser = TaskOutputParser(completed_tasks=[]) + result = parser.parse(input_text) + assert result == expected_output + + +def test_parse_with_completed_tasks() -> None: + input_text = '["One", "Two", "Three"]' + completed = ["One"] + expected = ["Two", "Three"] + + parser = TaskOutputParser(completed_tasks=completed) + + result = parser.parse(input_text) + assert result == expected + + +@pytest.mark.parametrize( + "input_text, exception", + [ + # Test cases for non-array and non-multiline string inputs + ("This is not an array", OutputParserException), + ("123456", OutputParserException), + ("Some random text", OutputParserException), + ("[abc]", OutputParserException), + # Test cases for malformed arrays + ("[1, 2, 3", OutputParserException), + ("'item1', 'item2']", OutputParserException), + ("['item1', 'item2", OutputParserException), + # Test case for invalid multiline strings + ("This is not\na valid\nmultiline string.", OutputParserException), + # Test case for multiline strings that don't start with digit + period + ("Some text\nMore text\nAnd more text.", OutputParserException), + ], +) +def test_parse_failure(input_text: str, exception: Type[Exception]) -> None: + parser = TaskOutputParser(completed_tasks=[]) + with pytest.raises(exception): + parser.parse(input_text) + + +@pytest.mark.parametrize( + "input_str, expected", + [ + # Test cases for empty array + ("[]", []), + # Test cases for arrays with one element + ('["One"]', ["One"]), + ("['Single quote']", ["Single quote"]), + # Test cases for arrays with multiple elements + ('["Research", "Develop", "Integrate"]', ["Research", "Develop", "Integrate"]), + ('["Search", "Identify"]', ["Search", "Identify"]), + ('["Item 1","Item 2","Item 3"]', ["Item 1", "Item 2", "Item 3"]), + # Test cases for arrays with special characters in elements + ("['Single with \"quote\"']", ['Single with "quote"']), + ('["Escape \\" within"]', ['Escape " within']), + # Test case for array embedded in other text + ("Random stuff ['Search', 'Identify']", ["Search", "Identify"]), + # Test case for array within JSON + ('{"array": ["123", "456"]}', ["123", "456"]), + # Multiline string cases + ( + "1. Identify the target\n2. Conduct research\n3. Implement the methods", + [ + "1. Identify the target", + "2. Conduct research", + "3. Implement the methods", + ], + ), + ("1. Step one.\n2. Step two.", ["1. Step one.", "2. Step two."]), + ( + """1. Review and understand the code to be debugged +2. Identify and address any errors or issues found during the review process +3. Print out debug information and setup initial variables +4. Start necessary threads and execute program logic.""", + [ + "1. Review and understand the code to be debugged", + "2. Identify and address any errors or issues found during the review " + "process", + "3. Print out debug information and setup initial variables", + "4. Start necessary threads and execute program logic.", + ], + ), + # Test cases with sentences before the digit + period pattern + ( + "Any text before 1. Identify the task to be repeated\nUnrelated info 2. " + "Determine the frequency of the repetition\nAnother sentence 3. Create a " + "schedule or system to ensure completion of the task at the designated " + "frequency\nMore text 4. Execute the task according to the established " + "schedule or system", + [ + "1. Identify the task to be repeated", + "2. Determine the frequency of the repetition", + "3. Create a schedule or system to ensure completion of the task at " + "the designated frequency", + "4. Execute the task according to the established schedule or system", + ], + ), + ], +) +def test_extract_array_success(input_str: str, expected: List[str]) -> None: + print(extract_array(input_str), expected) + assert extract_array(input_str) == expected + + +@pytest.mark.parametrize( + "input_str, exception", + [ + (None, TypeError), + ("123", RuntimeError), + ("Some random text", RuntimeError), + ('"single_string"', RuntimeError), + ('{"test": 123}', RuntimeError), + ('["Unclosed array", "other"', RuntimeError), + ], +) +def test_extract_array_exception(input_str: str, exception: Type[Exception]) -> None: + with pytest.raises(exception): + extract_array(input_str) + + +@pytest.mark.parametrize( + "task_input, expected_output", + [ + ("Task: This is a sample task", "This is a sample task"), + ( + "Task 1: Perform a comprehensive analysis of system performance.", + "Perform a comprehensive analysis of system performance.", + ), + ("Task 2. Create a python script", "Create a python script"), + ("5 - This is a sample task", "This is a sample task"), + ("2: This is a sample task", "This is a sample task"), + ( + "This is a sample task without a prefix", + "This is a sample task without a prefix", + ), + ("Step: This is a sample task", "This is a sample task"), + ( + "Step 1: Perform a comprehensive analysis of system performance.", + "Perform a comprehensive analysis of system performance.", + ), + ("Step 2:Create a python script", "Create a python script"), + ("Step:This is a sample task", "This is a sample task"), + ( + ". Conduct research on the history of Nike", + "Conduct research on the history of Nike", + ), + (".This is a sample task", "This is a sample task"), + ( + "1. Research the history and background of Nike company.", + "Research the history and background of Nike company.", + ), + ], +) +def test_remove_task_prefix(task_input: str, expected_output: str) -> None: + output = remove_prefix(task_input) + assert output == expected_output + + +@pytest.mark.parametrize( + "input_text, expected_result", + [ + ("Write the report", True), + ("No new task needed", False), + ("Task completed", False), + ("Do nothing", False), + ("", False), # empty_string + ("no new task needed", False), # case_insensitive + ], +) +def test_real_tasks_filter_no_task(input_text: str, expected_result: bool) -> None: + assert real_tasks_filter(input_text) == expected_result diff --git a/platform/reworkd_platform/tests/agent/test_tools.py b/platform/reworkd_platform/tests/agent/test_tools.py new file mode 100644 index 0000000..0ac0ca8 --- /dev/null +++ b/platform/reworkd_platform/tests/agent/test_tools.py @@ -0,0 +1,56 @@ +from typing import List, Type + +from reworkd_platform.web.api.agent.tools.conclude import Conclude +from reworkd_platform.web.api.agent.tools.image import Image +from reworkd_platform.web.api.agent.tools.reason import Reason +from reworkd_platform.web.api.agent.tools.search import Search +from reworkd_platform.web.api.agent.tools.sidsearch import SID +from reworkd_platform.web.api.agent.tools.tools import ( + Tool, + format_tool_name, + get_default_tool, + get_tool_from_name, + get_tool_name, + get_tools_overview, +) + + +def test_get_tool_name() -> None: + assert get_tool_name(Image) == "image" + assert get_tool_name(Search) == "search" + assert get_tool_name(Reason) == "reason" + + +def test_format_tool_name() -> None: + assert format_tool_name("Search") == "search" + assert format_tool_name("reason") == "reason" + assert format_tool_name("Conclude") == "conclude" + assert format_tool_name("CoNcLuDe") == "conclude" + + +def test_get_tools_overview_no_duplicates() -> None: + """Test to assert that the tools overview doesn't include duplicates.""" + tools: List[Type[Tool]] = [Image, Search, Reason, Conclude, Image, Search] + overview = get_tools_overview(tools) + + # Check if each unique tool description is included in the overview + for tool in set(tools): + expected_description = f"'{get_tool_name(tool)}': {tool.description}" + assert expected_description in overview + + # Check for duplicates in the overview + overview_list = overview.split("\n") + assert len(overview_list) == len( + set(overview_list) + ), "Overview includes duplicate entries" + + +def test_get_default_tool() -> None: + assert get_default_tool() == Search + + +def test_get_tool_from_name() -> None: + assert get_tool_from_name("Search") == Search + assert get_tool_from_name("CoNcLuDe") == Conclude + assert get_tool_from_name("NonExistingTool") == Search + assert get_tool_from_name("SID") == SID diff --git a/platform/reworkd_platform/tests/memory/memory_with_fallback_test.py b/platform/reworkd_platform/tests/memory/memory_with_fallback_test.py new file mode 100644 index 0000000..b44af29 --- /dev/null +++ b/platform/reworkd_platform/tests/memory/memory_with_fallback_test.py @@ -0,0 +1,43 @@ +import pytest + +from reworkd_platform.web.api.memory.memory_with_fallback import MemoryWithFallback + + +@pytest.mark.parametrize( + "method_name, args", + [ + ("add_tasks", (["task1", "task2"],)), + ("get_similar_tasks", ("task1",)), + ("reset_class", ()), + ], +) +def test_memory_primary(mocker, method_name: str, args) -> None: + primary = mocker.Mock() + secondary = mocker.Mock() + memory_with_fallback = MemoryWithFallback(primary, secondary) + + # Use getattr() to call the method on the object with args + getattr(memory_with_fallback, method_name)(*args) + getattr(primary, method_name).assert_called_once_with(*args) + getattr(secondary, method_name).assert_not_called() + + +@pytest.mark.parametrize( + "method_name, args", + [ + ("add_tasks", (["task1", "task2"],)), + ("get_similar_tasks", ("task1",)), + ("reset_class", ()), + ], +) +def test_memory_fallback(mocker, method_name: str, args) -> None: + primary = mocker.Mock() + secondary = mocker.Mock() + memory_with_fallback = MemoryWithFallback(primary, secondary) + + getattr(primary, method_name).side_effect = Exception("Primary Failed") + + # Call the method again, this time it should fall back to secondary + getattr(memory_with_fallback, method_name)(*args) + getattr(primary, method_name).assert_called_once_with(*args) + getattr(secondary, method_name).assert_called_once_with(*args) diff --git a/platform/reworkd_platform/tests/test_dependancies.py b/platform/reworkd_platform/tests/test_dependancies.py new file mode 100644 index 0000000..cd46449 --- /dev/null +++ b/platform/reworkd_platform/tests/test_dependancies.py @@ -0,0 +1,26 @@ +import pytest + +from reworkd_platform.web.api.agent import dependancies + + +@pytest.mark.anyio +@pytest.mark.parametrize( + "validator, step", + [ + (dependancies.agent_summarize_validator, "summarize"), + (dependancies.agent_chat_validator, "chat"), + (dependancies.agent_analyze_validator, "analyze"), + (dependancies.agent_create_validator, "create"), + (dependancies.agent_execute_validator, "execute"), + ], +) +async def test_agent_validate(mocker, validator, step): + run_id = "asim" + crud = mocker.Mock() + body = mocker.Mock() + body.run_id = run_id + + crud.create_task = mocker.AsyncMock() + + await validator(body, crud) + crud.create_task.assert_called_once_with(run_id, step) diff --git a/platform/reworkd_platform/tests/test_helpers.py b/platform/reworkd_platform/tests/test_helpers.py new file mode 100644 index 0000000..530887b --- /dev/null +++ b/platform/reworkd_platform/tests/test_helpers.py @@ -0,0 +1,45 @@ +import pytest +from openai.error import InvalidRequestError, ServiceUnavailableError + +from reworkd_platform.schemas.agent import ModelSettings +from reworkd_platform.web.api.agent.helpers import openai_error_handler +from reworkd_platform.web.api.errors import OpenAIError + + +async def act(*args, settings: ModelSettings = ModelSettings(), **kwargs): + return await openai_error_handler(*args, settings=settings, **kwargs) + + +@pytest.mark.asyncio +async def test_service_unavailable_error(): + async def mock_service_unavailable_error(): + raise ServiceUnavailableError("Service Unavailable") + + with pytest.raises(OpenAIError): + await act(mock_service_unavailable_error) + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "settings,should_log", + [ + (ModelSettings(custom_api_key="xyz"), False), + (ModelSettings(custom_api_key=None), True), + ], +) +async def test_should_log(settings, should_log): + async def mock_invalid_request_error_model_access(): + raise InvalidRequestError( + "The model: xyz does not exist or you do not have access to it.", + param="model", + ) + + with pytest.raises(Exception) as exc_info: + await openai_error_handler( + mock_invalid_request_error_model_access, settings=settings + ) + + assert isinstance(exc_info.value, OpenAIError) + error: OpenAIError = exc_info.value + + assert error.should_log == should_log diff --git a/platform/reworkd_platform/tests/test_oauth_installers.py b/platform/reworkd_platform/tests/test_oauth_installers.py new file mode 100644 index 0000000..52b1c57 --- /dev/null +++ b/platform/reworkd_platform/tests/test_oauth_installers.py @@ -0,0 +1,15 @@ +import pytest + +from reworkd_platform.services.oauth_installers import installer_factory + + +def test_installer_factory(mocker): + crud = mocker.Mock() + installer_factory("sid", crud) + + +def test_integration_dne(mocker): + crud = mocker.Mock() + + with pytest.raises(NotImplementedError): + installer_factory("asim", crud) diff --git a/platform/reworkd_platform/tests/test_reworkd_platform.py b/platform/reworkd_platform/tests/test_reworkd_platform.py new file mode 100644 index 0000000..474131a --- /dev/null +++ b/platform/reworkd_platform/tests/test_reworkd_platform.py @@ -0,0 +1,18 @@ +import pytest +from fastapi import FastAPI +from httpx import AsyncClient +from starlette import status + + +@pytest.mark.skip(reason="Mysql needs to be mocked") +@pytest.mark.anyio +async def test_health(client: AsyncClient, fastapi_app: FastAPI) -> None: + """ + Checks the health endpoint. + + :param client: client for the app. + :param fastapi_app: current FastAPI application. + """ + url = fastapi_app.url_path_for("health_check") + response = await client.get(url) + assert response.status_code == status.HTTP_200_OK diff --git a/platform/reworkd_platform/tests/test_s3.py b/platform/reworkd_platform/tests/test_s3.py new file mode 100644 index 0000000..aca5f32 --- /dev/null +++ b/platform/reworkd_platform/tests/test_s3.py @@ -0,0 +1,21 @@ +from reworkd_platform.services.aws.s3 import SimpleStorageService + + +def test_create_signed_post(mocker): + post_url = { + "url": "https://my_bucket.s3.amazonaws.com/my_object", + "fields": {"key": "value"}, + } + + boto3_mock = mocker.Mock() + boto3_mock.generate_presigned_post.return_value = post_url + mocker.patch( + "reworkd_platform.services.aws.s3.boto3_client", return_value=boto3_mock + ) + + assert ( + SimpleStorageService(bucket="my_bucket").create_presigned_upload_url( + object_name="json" + ) + == post_url + ) diff --git a/platform/reworkd_platform/tests/test_schemas.py b/platform/reworkd_platform/tests/test_schemas.py new file mode 100644 index 0000000..3e60779 --- /dev/null +++ b/platform/reworkd_platform/tests/test_schemas.py @@ -0,0 +1,61 @@ +import pytest + +from reworkd_platform.schemas.agent import ModelSettings + + +@pytest.mark.parametrize( + "settings", + [ + { + "model": "gpt-4o", + "max_tokens": 7000, + "temperature": 0.5, + "language": "french", + }, + { + "model": "gpt-3.5-turbo", + "max_tokens": 3000, + }, + { + "model": "gpt-3.5-turbo-16k", + "max_tokens": 16000, + }, + ], +) +def test_model_settings_valid(settings): + result = ModelSettings(**settings) + assert result.model == settings.get("model", "gpt-4o") + assert result.max_tokens == settings.get("max_tokens", 500) + assert result.temperature == settings.get("temperature", 0.9) + assert result.language == settings.get("language", "English") + + +@pytest.mark.parametrize( + "settings", + [ + { + "model": "gpt-4-32k", + }, + { + "temperature": -1, + }, + { + "max_tokens": 8000, + }, + { + "model": "gpt-4", + "max_tokens": 32000, + }, + ], +) +def test_model_settings_invalid(settings): + with pytest.raises(Exception): + ModelSettings(**settings) + + +def test_model_settings_default(): + settings = ModelSettings(**{}) + assert settings.model == "gpt-3.5-turbo" + assert settings.temperature == 0.9 + assert settings.max_tokens == 500 + assert settings.language == "English" diff --git a/platform/reworkd_platform/tests/test_security.py b/platform/reworkd_platform/tests/test_security.py new file mode 100644 index 0000000..a336f38 --- /dev/null +++ b/platform/reworkd_platform/tests/test_security.py @@ -0,0 +1,29 @@ +import pytest +from cryptography.fernet import Fernet +from fastapi import HTTPException + +from reworkd_platform.services.security import EncryptionService + + +def test_encrypt_decrypt(): + key = Fernet.generate_key() + service = EncryptionService(key) + + original_text = "Hello, world!" + encrypted = service.encrypt(original_text) + decrypted = service.decrypt(encrypted) + + assert original_text == decrypted + + +def test_invalid_key(): + key = Fernet.generate_key() + + different_key = Fernet.generate_key() + different_service = EncryptionService(different_key) + + original_text = "Hello, world!" + encrypted = Fernet(key).encrypt(original_text.encode()) + + with pytest.raises(HTTPException): + different_service.decrypt(encrypted) diff --git a/platform/reworkd_platform/tests/test_settings.py b/platform/reworkd_platform/tests/test_settings.py new file mode 100644 index 0000000..a066b63 --- /dev/null +++ b/platform/reworkd_platform/tests/test_settings.py @@ -0,0 +1,5 @@ +from reworkd_platform.settings import Settings + + +def test_settings_create(): + assert Settings() is not None diff --git a/platform/reworkd_platform/tests/test_token_service.py b/platform/reworkd_platform/tests/test_token_service.py new file mode 100644 index 0000000..8609c07 --- /dev/null +++ b/platform/reworkd_platform/tests/test_token_service.py @@ -0,0 +1,105 @@ +from unittest.mock import Mock + +import tiktoken + +from reworkd_platform.schemas.agent import LLM_MODEL_MAX_TOKENS +from reworkd_platform.services.tokenizer.token_service import TokenService + +encoding = tiktoken.get_encoding("cl100k_base") + + +def test_happy_path() -> None: + service = TokenService(encoding) + text = "Hello world!" + validate_tokenize_and_detokenize(service, text, 3) + + +def test_nothing() -> None: + service = TokenService(encoding) + text = "" + validate_tokenize_and_detokenize(service, text, 0) + + +def validate_tokenize_and_detokenize( + service: TokenService, text: str, expected_token_count: int +) -> None: + tokens = service.tokenize(text) + assert text == service.detokenize(tokens) + assert len(tokens) == service.count(text) + assert len(tokens) == expected_token_count + + +def test_calculate_max_tokens_with_small_max_tokens() -> None: + initial_max_tokens = 3000 + service = TokenService(encoding) + model = Mock(spec=["model_name", "max_tokens"]) + model.model_name = "gpt-3.5-turbo" + model.max_tokens = initial_max_tokens + + service.calculate_max_tokens(model, "Hello") + + assert model.max_tokens == initial_max_tokens + + +def test_calculate_max_tokens_with_high_completion_tokens() -> None: + service = TokenService(encoding) + prompt_tokens = service.count(LONG_TEXT) + model = Mock(spec=["model_name", "max_tokens"]) + model.model_name = "gpt-3.5-turbo" + model.max_tokens = 8000 + + service.calculate_max_tokens(model, LONG_TEXT) + + assert model.max_tokens == ( + LLM_MODEL_MAX_TOKENS.get("gpt-3.5-turbo") - prompt_tokens + ) + + +def test_calculate_max_tokens_with_negative_result() -> None: + service = TokenService(encoding) + model = Mock(spec=["model_name", "max_tokens"]) + model.model_name = "gpt-3.5-turbo" + model.max_tokens = 8000 + + service.calculate_max_tokens(model, *([LONG_TEXT] * 100)) + + # We use the minimum length of 1 + assert model.max_tokens == 1 + + +LONG_TEXT = """ +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +This is some long text. This is some long text. This is some long text. +""" diff --git a/platform/reworkd_platform/timer.py b/platform/reworkd_platform/timer.py new file mode 100644 index 0000000..52d5aa4 --- /dev/null +++ b/platform/reworkd_platform/timer.py @@ -0,0 +1,34 @@ +from functools import wraps +from time import time +from typing import Any, Callable, Literal + +from loguru import logger + +Log_Level = Literal[ + "TRACE", + "DEBUG", + "INFO", + "SUCCESS", + "WARNING", + "ERROR", + "CRITICAL", +] + + +def timed_function(level: Log_Level = "INFO") -> Callable[..., Any]: + def decorator(func: Any) -> Callable[..., Any]: + @wraps(func) + def wrapper(*args: Any, **kwargs: Any) -> Any: + start_time = time() + result = func(*args, **kwargs) + execution_time = time() - start_time + logger.log( + level, + f"Function '{func.__qualname__}' executed in {execution_time:.4f} seconds", + ) + + return result + + return wrapper + + return decorator diff --git a/platform/reworkd_platform/web/__init__.py b/platform/reworkd_platform/web/__init__.py new file mode 100644 index 0000000..b37c072 --- /dev/null +++ b/platform/reworkd_platform/web/__init__.py @@ -0,0 +1 @@ +"""WEB API for reworkd_platform.""" diff --git a/platform/reworkd_platform/web/api/__init__.py b/platform/reworkd_platform/web/api/__init__.py new file mode 100644 index 0000000..8937a69 --- /dev/null +++ b/platform/reworkd_platform/web/api/__init__.py @@ -0,0 +1 @@ +"""reworkd_platform API package.""" diff --git a/platform/reworkd_platform/web/api/agent/__init__.py b/platform/reworkd_platform/web/api/agent/__init__.py new file mode 100644 index 0000000..e1b4bcf --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/__init__.py @@ -0,0 +1,4 @@ +"""API for checking running agents""" +from reworkd_platform.web.api.agent.views import router + +__all__ = ["router"] diff --git a/platform/reworkd_platform/web/api/agent/agent_service/__init__.py b/platform/reworkd_platform/web/api/agent/agent_service/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/platform/reworkd_platform/web/api/agent/agent_service/agent_service.py b/platform/reworkd_platform/web/api/agent/agent_service/agent_service.py new file mode 100644 index 0000000..127958e --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/agent_service/agent_service.py @@ -0,0 +1,51 @@ +from typing import List, Optional, Protocol + +from fastapi.responses import StreamingResponse as FastAPIStreamingResponse + +from reworkd_platform.web.api.agent.analysis import Analysis + + +class AgentService(Protocol): + async def start_goal_agent(self, *, goal: str) -> List[str]: + pass + + async def analyze_task_agent( + self, *, goal: str, task: str, tool_names: List[str] + ) -> Analysis: + pass + + async def execute_task_agent( + self, + *, + goal: str, + task: str, + analysis: Analysis, + ) -> FastAPIStreamingResponse: + pass + + async def create_tasks_agent( + self, + *, + goal: str, + tasks: List[str], + last_task: str, + result: str, + completed_tasks: Optional[List[str]] = None, + ) -> List[str]: + pass + + async def summarize_task_agent( + self, + *, + goal: str, + results: List[str], + ) -> FastAPIStreamingResponse: + pass + + async def chat( + self, + *, + message: str, + results: List[str], + ) -> FastAPIStreamingResponse: + pass diff --git a/platform/reworkd_platform/web/api/agent/agent_service/agent_service_provider.py b/platform/reworkd_platform/web/api/agent/agent_service/agent_service_provider.py new file mode 100644 index 0000000..19b3777 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/agent_service/agent_service_provider.py @@ -0,0 +1,53 @@ +from typing import Any, Callable, Coroutine, Optional + +from fastapi import Depends + +from reworkd_platform.db.crud.oauth import OAuthCrud +from reworkd_platform.schemas.agent import AgentRun, LLM_Model +from reworkd_platform.schemas.user import UserBase +from reworkd_platform.services.tokenizer.dependencies import get_token_service +from reworkd_platform.services.tokenizer.token_service import TokenService +from reworkd_platform.settings import settings +from reworkd_platform.web.api.agent.agent_service.agent_service import AgentService +from reworkd_platform.web.api.agent.agent_service.mock_agent_service import ( + MockAgentService, +) +from reworkd_platform.web.api.agent.agent_service.open_ai_agent_service import ( + OpenAIAgentService, +) +from reworkd_platform.web.api.agent.model_factory import create_model +from reworkd_platform.web.api.dependencies import get_current_user + + +def get_agent_service( + validator: Callable[..., Coroutine[Any, Any, AgentRun]], + streaming: bool = False, + llm_model: Optional[LLM_Model] = None, +) -> Callable[..., AgentService]: + def func( + run: AgentRun = Depends(validator), + user: UserBase = Depends(get_current_user), + token_service: TokenService = Depends(get_token_service), + oauth_crud: OAuthCrud = Depends(OAuthCrud.inject), + ) -> AgentService: + if settings.ff_mock_mode_enabled: + return MockAgentService() + + model = create_model( + settings, + run.model_settings, + user, + streaming=streaming, + force_model=llm_model, + ) + + return OpenAIAgentService( + model, + run.model_settings, + token_service, + callbacks=None, + user=user, + oauth_crud=oauth_crud, + ) + + return func diff --git a/platform/reworkd_platform/web/api/agent/agent_service/mock_agent_service.py b/platform/reworkd_platform/web/api/agent/agent_service/mock_agent_service.py new file mode 100644 index 0000000..5f2ee62 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/agent_service/mock_agent_service.py @@ -0,0 +1,74 @@ +import time +from typing import Any, List + +from fastapi.responses import StreamingResponse as FastAPIStreamingResponse + +from reworkd_platform.web.api.agent.agent_service.agent_service import ( + AgentService, + Analysis, +) +from reworkd_platform.web.api.agent.stream_mock import stream_string + + +class MockAgentService(AgentService): + async def start_goal_agent(self, **kwargs: Any) -> List[str]: + time.sleep(1) + return ["Task X", "Task Y", "Task Z"] + + async def create_tasks_agent(self, **kwargs: Any) -> List[str]: + time.sleep(1) + return ["Some random task that doesn't exist"] + + async def analyze_task_agent(self, **kwargs: Any) -> Analysis: + time.sleep(1.5) + return Analysis( + action="reason", + arg="Mock analysis", + reasoning="Mock to avoid wasting money calling the OpenAI API.", + ) + + async def execute_task_agent(self, **kwargs: Any) -> FastAPIStreamingResponse: + time.sleep(0.5) + return stream_string( + """ This is going to be a longer task result such that + We make the stream of this string take time and feel long. The reality is... this is a mock! + + Lorem Ipsum is simply dummy text of the printing and typesetting industry. + Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, + when an unknown printer took a galley of type and scrambled it to make a type specimen book. + It has survived not only five centuries, but also the leap into electronic typesetting, remaining unchanged. + """ + + kwargs.get("task", "task"), + True, + ) + + async def summarize_task_agent( + self, + *, + goal: str, + results: List[str], + ) -> FastAPIStreamingResponse: + time.sleep(0.5) + return stream_string( + """ This is going to be a longer task result such that + We make the stream of this string take time and feel long. The reality is... this is a mock! + + Lorem Ipsum is simply dummy text of the printing and typesetting industry. + Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, + when an unknown printer took a galley of type and scrambled it to make a type specimen book. + It has survived not only five centuries, but also the leap into electronic typesetting, remaining unchanged. + """, + True, + ) + + async def chat( + self, + *, + message: str, + results: List[str], + ) -> FastAPIStreamingResponse: + time.sleep(0.5) + return stream_string( + "What do you want dude?", + True, + ) diff --git a/platform/reworkd_platform/web/api/agent/agent_service/open_ai_agent_service.py b/platform/reworkd_platform/web/api/agent/agent_service/open_ai_agent_service.py new file mode 100644 index 0000000..603c656 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/agent_service/open_ai_agent_service.py @@ -0,0 +1,227 @@ +from typing import List, Optional + +from fastapi.responses import StreamingResponse as FastAPIStreamingResponse +from lanarky.responses import StreamingResponse +from langchain import LLMChain +from langchain.callbacks.base import AsyncCallbackHandler +from langchain.output_parsers import PydanticOutputParser +from langchain.prompts import ChatPromptTemplate, SystemMessagePromptTemplate +from langchain.schema import HumanMessage +from loguru import logger +from pydantic import ValidationError + +from reworkd_platform.db.crud.oauth import OAuthCrud +from reworkd_platform.schemas.agent import ModelSettings +from reworkd_platform.schemas.user import UserBase +from reworkd_platform.services.tokenizer.token_service import TokenService +from reworkd_platform.web.api.agent.agent_service.agent_service import AgentService +from reworkd_platform.web.api.agent.analysis import Analysis, AnalysisArguments +from reworkd_platform.web.api.agent.helpers import ( + call_model_with_handling, + openai_error_handler, + parse_with_handling, +) +from reworkd_platform.web.api.agent.model_factory import WrappedChatOpenAI +from reworkd_platform.web.api.agent.prompts import ( + analyze_task_prompt, + chat_prompt, + create_tasks_prompt, + start_goal_prompt, +) +from reworkd_platform.web.api.agent.task_output_parser import TaskOutputParser +from reworkd_platform.web.api.agent.tools.open_ai_function import get_tool_function +from reworkd_platform.web.api.agent.tools.tools import ( + get_default_tool, + get_tool_from_name, + get_tool_name, + get_user_tools, +) +from reworkd_platform.web.api.agent.tools.utils import summarize +from reworkd_platform.web.api.errors import OpenAIError + + +class OpenAIAgentService(AgentService): + def __init__( + self, + model: WrappedChatOpenAI, + settings: ModelSettings, + token_service: TokenService, + callbacks: Optional[List[AsyncCallbackHandler]], + user: UserBase, + oauth_crud: OAuthCrud, + ): + self.model = model + self.settings = settings + self.token_service = token_service + self.callbacks = callbacks + self.user = user + self.oauth_crud = oauth_crud + + async def start_goal_agent(self, *, goal: str) -> List[str]: + prompt = ChatPromptTemplate.from_messages( + [SystemMessagePromptTemplate(prompt=start_goal_prompt)] + ) + + self.token_service.calculate_max_tokens( + self.model, + prompt.format_prompt( + goal=goal, + language=self.settings.language, + ).to_string(), + ) + + completion = await call_model_with_handling( + self.model, + ChatPromptTemplate.from_messages( + [SystemMessagePromptTemplate(prompt=start_goal_prompt)] + ), + {"goal": goal, "language": self.settings.language}, + settings=self.settings, + callbacks=self.callbacks, + ) + + task_output_parser = TaskOutputParser(completed_tasks=[]) + tasks = parse_with_handling(task_output_parser, completion) + + return tasks + + async def analyze_task_agent( + self, *, goal: str, task: str, tool_names: List[str] + ) -> Analysis: + user_tools = await get_user_tools(tool_names, self.user, self.oauth_crud) + functions = list(map(get_tool_function, user_tools)) + prompt = analyze_task_prompt.format_prompt( + goal=goal, + task=task, + language=self.settings.language, + ) + + self.token_service.calculate_max_tokens( + self.model, + prompt.to_string(), + str(functions), + ) + + message = await openai_error_handler( + func=self.model.apredict_messages, + messages=prompt.to_messages(), + functions=functions, + settings=self.settings, + callbacks=self.callbacks, + ) + + function_call = message.additional_kwargs.get("function_call", {}) + completion = function_call.get("arguments", "") + + try: + pydantic_parser = PydanticOutputParser(pydantic_object=AnalysisArguments) + analysis_arguments = parse_with_handling(pydantic_parser, completion) + return Analysis( + action=function_call.get("name", get_tool_name(get_default_tool())), + **analysis_arguments.dict(), + ) + except (OpenAIError, ValidationError): + return Analysis.get_default_analysis(task) + + async def execute_task_agent( + self, + *, + goal: str, + task: str, + analysis: Analysis, + ) -> StreamingResponse: + # TODO: More mature way of calculating max_tokens + if self.model.max_tokens > 3000: + self.model.max_tokens = max(self.model.max_tokens - 1000, 3000) + + tool_class = get_tool_from_name(analysis.action) + return await tool_class(self.model, self.settings.language).call( + goal, + task, + analysis.arg, + self.user, + self.oauth_crud, + ) + + async def create_tasks_agent( + self, + *, + goal: str, + tasks: List[str], + last_task: str, + result: str, + completed_tasks: Optional[List[str]] = None, + ) -> List[str]: + prompt = ChatPromptTemplate.from_messages( + [SystemMessagePromptTemplate(prompt=create_tasks_prompt)] + ) + + args = { + "goal": goal, + "language": self.settings.language, + "tasks": "\n".join(tasks), + "lastTask": last_task, + "result": result, + } + + self.token_service.calculate_max_tokens( + self.model, prompt.format_prompt(**args).to_string() + ) + + completion = await call_model_with_handling( + self.model, prompt, args, settings=self.settings, callbacks=self.callbacks + ) + + previous_tasks = (completed_tasks or []) + tasks + return [completion] if completion not in previous_tasks else [] + + async def summarize_task_agent( + self, + *, + goal: str, + results: List[str], + ) -> FastAPIStreamingResponse: + self.model.model_name = "gpt-4o" + self.model.max_tokens = 8000 # Total tokens = prompt tokens + completion tokens + + snippet_max_tokens = 7000 # Leave room for the rest of the prompt + text_tokens = self.token_service.tokenize("".join(results)) + text = self.token_service.detokenize(text_tokens[0:snippet_max_tokens]) + logger.info(f"Summarizing text: {text}") + + return summarize( + model=self.model, + language=self.settings.language, + goal=goal, + text=text, + ) + + async def chat( + self, + *, + message: str, + results: List[str], + ) -> FastAPIStreamingResponse: + self.model.model_name = "gpt-4o" + prompt = ChatPromptTemplate.from_messages( + [ + SystemMessagePromptTemplate(prompt=chat_prompt), + *[HumanMessage(content=result) for result in results], + HumanMessage(content=message), + ] + ) + + self.token_service.calculate_max_tokens( + self.model, + prompt.format_prompt( + language=self.settings.language, + ).to_string(), + ) + + chain = LLMChain(llm=self.model, prompt=prompt) + + return StreamingResponse.from_chain( + chain, + {"language": self.settings.language}, + media_type="text/event-stream", + ) diff --git a/platform/reworkd_platform/web/api/agent/analysis.py b/platform/reworkd_platform/web/api/agent/analysis.py new file mode 100644 index 0000000..f8ee644 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/analysis.py @@ -0,0 +1,45 @@ +from typing import Dict + +from pydantic import BaseModel, validator + + +class AnalysisArguments(BaseModel): + """ + Arguments for the analysis function of a tool. OpenAI functions will resolve these values but leave out the action. + """ + + reasoning: str + arg: str + + +class Analysis(AnalysisArguments): + action: str + + @validator("action") + def action_must_be_valid_tool(cls, v: str) -> str: + # TODO: Remove circular import + from reworkd_platform.web.api.agent.tools.tools import get_available_tools_names + + if v not in get_available_tools_names(): + raise ValueError(f"Analysis action '{v}' is not a valid tool") + return v + + @validator("action") + def search_action_must_have_arg(cls, v: str, values: Dict[str, str]) -> str: + from reworkd_platform.web.api.agent.tools.search import Search + from reworkd_platform.web.api.agent.tools.tools import get_tool_name + + if v == get_tool_name(Search) and not values["arg"]: + raise ValueError("Analysis arg cannot be empty if action is 'search'") + return v + + @classmethod + def get_default_analysis(cls, task: str) -> "Analysis": + # TODO: Remove circular import + from reworkd_platform.web.api.agent.tools.tools import get_default_tool_name + + return cls( + reasoning="Hmm... I'll try searching it up", + action=get_default_tool_name(), + arg=task, + ) diff --git a/platform/reworkd_platform/web/api/agent/dependancies.py b/platform/reworkd_platform/web/api/agent/dependancies.py new file mode 100644 index 0000000..0d42a8b --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/dependancies.py @@ -0,0 +1,95 @@ +from typing import TypeVar + +from fastapi import Body, Depends +from sqlalchemy.ext.asyncio import AsyncSession + +from reworkd_platform.db.crud.agent import AgentCRUD +from reworkd_platform.db.dependencies import get_db_session +from reworkd_platform.schemas.agent import ( + AgentChat, + AgentRun, + AgentRunCreate, + AgentSummarize, + AgentTaskAnalyze, + AgentTaskCreate, + AgentTaskExecute, + Loop_Step, +) +from reworkd_platform.schemas.user import UserBase +from reworkd_platform.web.api.dependencies import get_current_user + +T = TypeVar( + "T", AgentTaskAnalyze, AgentTaskExecute, AgentTaskCreate, AgentSummarize, AgentChat +) + + +def agent_crud( + user: UserBase = Depends(get_current_user), + session: AsyncSession = Depends(get_db_session), +) -> AgentCRUD: + return AgentCRUD(session, user) + + +async def agent_start_validator( + body: AgentRunCreate = Body( + example={ + "goal": "Create business plan for a bagel company", + "modelSettings": { + "customModelName": "gpt-4o", + }, + }, + ), + crud: AgentCRUD = Depends(agent_crud), +) -> AgentRun: + id_ = (await crud.create_run(body.goal)).id + return AgentRun(**body.dict(), run_id=str(id_)) + + +async def validate(body: T, crud: AgentCRUD, type_: Loop_Step) -> T: + body.run_id = (await crud.create_task(body.run_id, type_)).id + return body + + +async def agent_analyze_validator( + body: AgentTaskAnalyze = Body(), + crud: AgentCRUD = Depends(agent_crud), +) -> AgentTaskAnalyze: + return await validate(body, crud, "analyze") + + +async def agent_execute_validator( + body: AgentTaskExecute = Body( + example={ + "goal": "Perform tasks accurately", + "task": "Write code to make a platformer", + "analysis": { + "reasoning": "I like to write code.", + "action": "code", + "arg": "", + }, + }, + ), + crud: AgentCRUD = Depends(agent_crud), +) -> AgentTaskExecute: + return await validate(body, crud, "execute") + + +async def agent_create_validator( + body: AgentTaskCreate = Body(), + crud: AgentCRUD = Depends(agent_crud), +) -> AgentTaskCreate: + return await validate(body, crud, "create") + + +async def agent_summarize_validator( + body: AgentSummarize = Body(), + crud: AgentCRUD = Depends(agent_crud), +) -> AgentSummarize: + return await validate(body, crud, "summarize") + + +async def agent_chat_validator( + body: AgentChat = Body(), + crud: AgentCRUD = Depends(agent_crud), +) -> AgentChat: + return await validate(body, crud, "chat") diff --git a/platform/reworkd_platform/web/api/agent/helpers.py b/platform/reworkd_platform/web/api/agent/helpers.py new file mode 100644 index 0000000..9c90106 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/helpers.py @@ -0,0 +1,76 @@ +from typing import Any, Callable, Dict, TypeVar + +from langchain import BasePromptTemplate, LLMChain +from langchain.chat_models.base import BaseChatModel +from langchain.schema import BaseOutputParser, OutputParserException +from openai.error import ( + AuthenticationError, + InvalidRequestError, + RateLimitError, + ServiceUnavailableError, +) + +from reworkd_platform.schemas.agent import ModelSettings +from reworkd_platform.web.api.errors import OpenAIError + +T = TypeVar("T") + + +def parse_with_handling(parser: BaseOutputParser[T], completion: str) -> T: + try: + return parser.parse(completion) + except OutputParserException as e: + raise OpenAIError( + e, "There was an issue parsing the response from the AI model." + ) + + +async def openai_error_handler( + func: Callable[..., Any], *args: Any, settings: ModelSettings, **kwargs: Any +) -> Any: + try: + return await func(*args, **kwargs) + except ServiceUnavailableError as e: + raise OpenAIError( + e, + "OpenAI is experiencing issues. Visit " + "https://status.openai.com/ for more info.", + should_log=not settings.custom_api_key, + ) + except InvalidRequestError as e: + if e.user_message.startswith("The model:"): + raise OpenAIError( + e, + f"Your API key does not have access to your current model. Please use a different model.", + should_log=not settings.custom_api_key, + ) + raise OpenAIError(e, e.user_message) + except AuthenticationError as e: + raise OpenAIError( + e, + "Authentication error: Ensure a valid API key is being used.", + should_log=not settings.custom_api_key, + ) + except RateLimitError as e: + if e.user_message.startswith("You exceeded your current quota"): + raise OpenAIError( + e, + f"Your API key exceeded your current quota, please check your plan and billing details.", + should_log=not settings.custom_api_key, + ) + raise OpenAIError(e, e.user_message) + except Exception as e: + raise OpenAIError( + e, "There was an unexpected issue getting a response from the AI model." + ) + + +async def call_model_with_handling( + model: BaseChatModel, + prompt: BasePromptTemplate, + args: Dict[str, str], + settings: ModelSettings, + **kwargs: Any, +) -> str: + chain = LLMChain(llm=model, prompt=prompt) + return await openai_error_handler(chain.arun, args, settings=settings, **kwargs) diff --git a/platform/reworkd_platform/web/api/agent/model_factory.py b/platform/reworkd_platform/web/api/agent/model_factory.py new file mode 100644 index 0000000..52644a9 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/model_factory.py @@ -0,0 +1,97 @@ +from typing import Any, Dict, Optional, Tuple, Type, Union + +from langchain.chat_models import AzureChatOpenAI, ChatOpenAI +from pydantic import Field + +from reworkd_platform.schemas.agent import LLM_Model, ModelSettings +from reworkd_platform.schemas.user import UserBase +from reworkd_platform.settings import Settings + + +class WrappedChatOpenAI(ChatOpenAI): + client: Any = Field( + default=None, + description="Meta private value but mypy will complain its missing", + ) + max_tokens: int + model_name: LLM_Model = Field(alias="model") + + +class WrappedAzureChatOpenAI(AzureChatOpenAI, WrappedChatOpenAI): + openai_api_base: str + openai_api_version: str + deployment_name: str + + +WrappedChat = Union[WrappedAzureChatOpenAI, WrappedChatOpenAI] + + +def create_model( + settings: Settings, + model_settings: ModelSettings, + user: UserBase, + streaming: bool = False, + force_model: Optional[LLM_Model] = None, +) -> WrappedChat: + use_azure = ( + not model_settings.custom_api_key and "azure" in settings.openai_api_base + ) + + llm_model = force_model or model_settings.model + model: Type[WrappedChat] = WrappedChatOpenAI + base, headers, use_helicone = get_base_and_headers(settings, model_settings, user) + kwargs = { + "openai_api_base": base, + "openai_api_key": model_settings.custom_api_key or settings.openai_api_key, + "temperature": model_settings.temperature, + "model": llm_model, + "max_tokens": model_settings.max_tokens, + "streaming": streaming, + "max_retries": 5, + "model_kwargs": {"user": user.email, "headers": headers}, + } + + if use_azure: + model = WrappedAzureChatOpenAI + deployment_name = llm_model.replace(".", "") + kwargs.update( + { + "openai_api_version": settings.openai_api_version, + "deployment_name": deployment_name, + "openai_api_type": "azure", + "openai_api_base": base.rstrip("v1"), + } + ) + + if use_helicone: + kwargs["model"] = deployment_name + + return model(**kwargs) # type: ignore + + +def get_base_and_headers( + settings_: Settings, model_settings: ModelSettings, user: UserBase +) -> Tuple[str, Optional[Dict[str, str]], bool]: + use_helicone = settings_.helicone_enabled and not model_settings.custom_api_key + base = ( + settings_.helicone_api_base + if use_helicone + else ( + "https://api.openai.com/v1" + if model_settings.custom_api_key + else settings_.openai_api_base + ) + ) + + headers = ( + { + "Helicone-Auth": f"Bearer {settings_.helicone_api_key}", + "Helicone-Cache-Enabled": "true", + "Helicone-User-Id": user.id, + "Helicone-OpenAI-Api-Base": settings_.openai_api_base, + } + if use_helicone + else None + ) + + return base, headers, use_helicone diff --git a/platform/reworkd_platform/web/api/agent/prompts.py b/platform/reworkd_platform/web/api/agent/prompts.py new file mode 100644 index 0000000..af2c838 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/prompts.py @@ -0,0 +1,185 @@ +from langchain import PromptTemplate + +# Create initial tasks using plan and solve prompting +# https://github.com/AGI-Edgerunners/Plan-and-Solve-Prompting +start_goal_prompt = PromptTemplate( + template="""You are a task creation AI called Allinix. +You answer in the "{language}" language. You have the following objective "{goal}". +Return a list of search queries that would be required to answer the entirety of the objective. +Limit the list to a maximum of 5 queries. Ensure the queries are as succinct as possible. +For simple questions use a single query. + +Return the response as a JSON array of strings. Examples: + +query: "Who is considered the best NBA player in the current season?", answer: ["current NBA MVP candidates"] +query: "How does the Olympicpayroll brand currently stand in the market, and what are its prospects and strategies for expansion in NJ, NY, and PA?", answer: ["Olympicpayroll brand comprehensive analysis 2023", "customer reviews of Olympicpayroll.com", "Olympicpayroll market position analysis", "payroll industry trends forecast 2023-2025", "payroll services expansion strategies in NJ, NY, PA"] +query: "How can I create a function to add weight to edges in a digraph using {language}?", answer: ["algorithm to add weight to digraph edge in {language}"] +query: "What is the current weather in New York?", answer: ["current weather in New York"] +query: "5 + 5?", answer: ["Sum of 5 and 5"] +query: "What is a good homemade recipe for KFC-style chicken?", answer: ["KFC style chicken recipe at home"] +query: "What are the nutritional values of almond milk and soy milk?", answer: ["nutritional information of almond milk", "nutritional information of soy milk"]""", + input_variables=["goal", "language"], +) + +analyze_task_prompt = PromptTemplate( + template=""" + High level objective: "{goal}" + Current task: "{task}" + + Based on this information, use the best function to make progress or accomplish the task entirely. + Select the correct function by being smart and efficient. Ensure "reasoning" and only "reasoning" is in the + {language} language. + + Note you MUST select a function. + """, + input_variables=["goal", "task", "language"], +) + +code_prompt = PromptTemplate( + template=""" + You are a world-class software engineer and an expert in all programing languages, + software systems, and architecture. + + For reference, your high level goal is {goal} + + Write code in English but explanations/comments in the "{language}" language. + + Provide no information about who you are and focus on writing code. + Ensure code is bug and error free and explain complex concepts through comments + Respond in well-formatted markdown. Ensure code blocks are used for code sections. + Approach problems step by step and file by file, for each section, use a heading to describe the section. + + Write code to accomplish the following: + {task} + """, + input_variables=["goal", "language", "task"], +) + +execute_task_prompt = PromptTemplate( + template="""Answer in the "{language}" language. Given + the following overall objective `{goal}` and the following sub-task, `{task}`. + + Perform the task by understanding the problem, extracting variables, and being smart + and efficient. Write a detailed response that address the task. + When confronted with choices, make a decision yourself with reasoning. + """, + input_variables=["goal", "language", "task"], +) + +create_tasks_prompt = PromptTemplate( + template="""You are an AI task creation agent. You must answer in the "{language}" + language. You have the following objective `{goal}`. + + You have the following incomplete tasks: + `{tasks}` + + You just completed the following task: + `{lastTask}` + + And received the following result: + `{result}`. + + Based on this, create a single new task to be completed by your AI system such that your goal is closer reached. + If there are no more tasks to be done, return nothing. Do not add quotes to the task. + + Examples: + Search the web for NBA news + Create a function to add a new vertex with a specified weight to the digraph. + Search for any additional information on Bertie W. + "" + """, + input_variables=["goal", "language", "tasks", "lastTask", "result"], +) + +summarize_prompt = PromptTemplate( + template="""You must answer in the "{language}" language. + + Combine the following text into a cohesive document: + + "{text}" + + Write using clear markdown formatting in a style expected of the goal "{goal}". + Be as clear, informative, and descriptive as necessary. + You will not make up information or add any information outside of the above text. + Only use the given information and nothing more. + + If there is no information provided, say "There is nothing to summarize". + """, + input_variables=["goal", "language", "text"], +) + +company_context_prompt = PromptTemplate( + template="""You must answer in the "{language}" language. + + Create a short description on "{company_name}". + Find out what sector it is in and what are their primary products. + + Be as clear, informative, and descriptive as necessary. + You will not make up information or add any information outside of the above text. + Only use the given information and nothing more. + + If there is no information provided, say "There is nothing to summarize". + """, + input_variables=["company_name", "language"], +) + +summarize_pdf_prompt = PromptTemplate( + template="""You must answer in the "{language}" language. + + For the given text: "{text}", you have the following objective "{query}". + + Be as clear, informative, and descriptive as necessary. + You will not make up information or add any information outside of the above text. + Only use the given information and nothing more. + """, + input_variables=["query", "language", "text"], +) + +summarize_with_sources_prompt = PromptTemplate( + template="""You must answer in the "{language}" language. + + Answer the following query: "{query}" using the following information: "{snippets}". + Write using clear markdown formatting and use markdown lists where possible. + + Cite sources for sentences via markdown links using the source link as the link and the index as the text. + Use in-line sources. Do not separately list sources at the end of the writing. + + If the query cannot be answered with the provided information, mention this and provide a reason why along with what it does mention. + Also cite the sources of what is actually mentioned. + + Example sentences of the paragraph: + "So this is a cited sentence at the end of a paragraph[1](https://test.com). This is another sentence." + "Stephen curry is an american basketball player that plays for the warriors[1](https://www.britannica.com/biography/Stephen-Curry)." + "The economic growth forecast for the region has been adjusted from 2.5% to 3.1% due to improved trade relations[1](https://economictimes.com), while inflation rates are expected to remain steady at around 1.7% according to financial analysts[2](https://financeworld.com)." + """, + input_variables=["language", "query", "snippets"], +) + +summarize_sid_prompt = PromptTemplate( + template="""You must answer in the "{language}" language. + + Parse and summarize the following text snippets "{snippets}". + Write using clear markdown formatting in a style expected of the goal "{goal}". + Be as clear, informative, and descriptive as necessary and attempt to + answer the query: "{query}" as best as possible. + If any of the snippets are not relevant to the query, + ignore them, and do not include them in the summary. + Do not mention that you are ignoring them. + + If there is no information provided, say "There is nothing to summarize". + """, + input_variables=["goal", "language", "query", "snippets"], +) + +chat_prompt = PromptTemplate( + template="""You must answer in the "{language}" language. + + You are a helpful AI Assistant that will provide responses based on the current conversation history. + + The human will provide previous messages as context. Use ONLY this information for your responses. + Do not make anything up and do not add any additional information. + If you have no information for a given question in the conversation history, + say "I do not have any information on this". + """, + input_variables=["language"], +) diff --git a/platform/reworkd_platform/web/api/agent/stream_mock.py b/platform/reworkd_platform/web/api/agent/stream_mock.py new file mode 100644 index 0000000..68eb7e0 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/stream_mock.py @@ -0,0 +1,26 @@ +import asyncio +from typing import AsyncGenerator + +import tiktoken +from fastapi import FastAPI +from fastapi.responses import StreamingResponse as FastAPIStreamingResponse + +app = FastAPI() + + +def stream_string(data: str, delayed: bool = False) -> FastAPIStreamingResponse: + return FastAPIStreamingResponse( + stream_generator(data, delayed), + ) + + +async def stream_generator(data: str, delayed: bool) -> AsyncGenerator[bytes, None]: + if delayed: + encoding = tiktoken.get_encoding("cl100k_base") + token_data = encoding.encode(data) + + for token in token_data: + yield encoding.decode([token]).encode("utf-8") + await asyncio.sleep(0.025) # simulate slow processing + else: + yield data.encode() diff --git a/platform/reworkd_platform/web/api/agent/task_output_parser.py b/platform/reworkd_platform/web/api/agent/task_output_parser.py new file mode 100644 index 0000000..f4bc373 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/task_output_parser.py @@ -0,0 +1,88 @@ +import ast +import re +from typing import List + +from langchain.schema import BaseOutputParser, OutputParserException + + +class TaskOutputParser(BaseOutputParser[List[str]]): + """ + Extension of LangChain's BaseOutputParser + Responsible for parsing task creation output into a list of task strings + """ + + completed_tasks: List[str] = [] + + def __init__(self, *, completed_tasks: List[str]): + super().__init__() + self.completed_tasks = completed_tasks + + def parse(self, text: str) -> List[str]: + try: + array_str = extract_array(text) + all_tasks = [ + remove_prefix(task) for task in array_str if real_tasks_filter(task) + ] + return [task for task in all_tasks if task not in self.completed_tasks] + except Exception as e: + msg = f"Failed to parse tasks from completion '{text}'. Exception: {e}" + raise OutputParserException(msg) + + def get_format_instructions(self) -> str: + return """ + The response should be a JSON array of strings. Example: + + ["Search the web for NBA news", "Write some code to build a web scraper"] + + This should be parsable by json.loads() + """ + + +def extract_array(input_str: str) -> List[str]: + regex = ( + r"\[\s*\]|" # Empty array check + r"(\[(?:\s*(?:\"(?:[^\"\\]|\\.)*\"|\'(?:[^\'\\]|\\.)*\')\s*,?)*\s*\])" + ) + match = re.search(regex, input_str) + if match is not None: + return ast.literal_eval(match[0]) + else: + return handle_multiline_string(input_str) + + +def handle_multiline_string(input_str: str) -> List[str]: + # Handle multiline string as a list + processed_lines = [ + re.sub(r".*?(\d+\..+)", r"\1", line).strip() + for line in input_str.split("\n") + if line.strip() != "" + ] + + # Check if there is at least one line that starts with a digit and a period + if any(re.match(r"\d+\..+", line) for line in processed_lines): + return processed_lines + else: + raise RuntimeError(f"Failed to extract array from {input_str}") + + +def remove_prefix(input_str: str) -> str: + prefix_pattern = ( + r"^(Task\s*\d*\.\s*|Task\s*\d*[-:]?\s*|Step\s*\d*[" + r"-:]?\s*|Step\s*[-:]?\s*|\d+\.\s*|\d+\s*[-:]?\s*|^\.\s*|^\.*)" + ) + return re.sub(prefix_pattern, "", input_str, flags=re.IGNORECASE) + + +def real_tasks_filter(input_str: str) -> bool: + no_task_regex = ( + r"^No( (new|further|additional|extra|other))? tasks? (is )?(" + r"required|needed|added|created|inputted).*" + ) + task_complete_regex = r"^Task (complete|completed|finished|done|over|success).*" + do_nothing_regex = r"^(\s*|Do nothing(\s.*)?)$" + + return ( + not re.search(no_task_regex, input_str, re.IGNORECASE) + and not re.search(task_complete_regex, input_str, re.IGNORECASE) + and not re.search(do_nothing_regex, input_str, re.IGNORECASE) + ) diff --git a/platform/reworkd_platform/web/api/agent/tools/__init__.py b/platform/reworkd_platform/web/api/agent/tools/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/platform/reworkd_platform/web/api/agent/tools/code.py b/platform/reworkd_platform/web/api/agent/tools/code.py new file mode 100644 index 0000000..1b0053f --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/tools/code.py @@ -0,0 +1,25 @@ +from typing import Any + +from fastapi.responses import StreamingResponse as FastAPIStreamingResponse +from lanarky.responses import StreamingResponse +from langchain import LLMChain + +from reworkd_platform.web.api.agent.tools.tool import Tool + + +class Code(Tool): + description = "Should only be used to write code, refactor code, fix code bugs, and explain programming concepts." + public_description = "Write and review code." + + async def call( + self, goal: str, task: str, input_str: str, *args: Any, **kwargs: Any + ) -> FastAPIStreamingResponse: + from reworkd_platform.web.api.agent.prompts import code_prompt + + chain = LLMChain(llm=self.model, prompt=code_prompt) + + return StreamingResponse.from_chain( + chain, + {"goal": goal, "language": self.language, "task": task}, + media_type="text/event-stream", + ) diff --git a/platform/reworkd_platform/web/api/agent/tools/conclude.py b/platform/reworkd_platform/web/api/agent/tools/conclude.py new file mode 100644 index 0000000..7c3a29f --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/tools/conclude.py @@ -0,0 +1,15 @@ +from typing import Any + +from fastapi.responses import StreamingResponse as FastAPIStreamingResponse + +from reworkd_platform.web.api.agent.stream_mock import stream_string +from reworkd_platform.web.api.agent.tools.tool import Tool + + +class Conclude(Tool): + description = "Use when there is nothing else to do. The task has been concluded." + + async def call( + self, goal: str, task: str, input_str: str, *args: Any, **kwargs: Any + ) -> FastAPIStreamingResponse: + return stream_string("Task execution concluded.", delayed=True) diff --git a/platform/reworkd_platform/web/api/agent/tools/image.py b/platform/reworkd_platform/web/api/agent/tools/image.py new file mode 100644 index 0000000..f934448 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/tools/image.py @@ -0,0 +1,66 @@ +from typing import Any + +import openai +import replicate +from fastapi.responses import StreamingResponse as FastAPIStreamingResponse +from replicate.exceptions import ModelError +from replicate.exceptions import ReplicateError as ReplicateAPIError + +from reworkd_platform.settings import settings +from reworkd_platform.web.api.agent.stream_mock import stream_string +from reworkd_platform.web.api.agent.tools.tool import Tool +from reworkd_platform.web.api.errors import ReplicateError + + +async def get_replicate_image(input_str: str) -> str: + if settings.replicate_api_key is None or settings.replicate_api_key == "": + raise RuntimeError("Replicate API key not set") + + client = replicate.Client(settings.replicate_api_key) + try: + output = client.run( + "stability-ai/stable-diffusion" + ":db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf", + input={"prompt": input_str}, + image_dimensions="512x512", + ) + except ModelError as e: + raise ReplicateError(e, "Image generation failed due to NSFW image.") + except ReplicateAPIError as e: + raise ReplicateError(e, "Failed to generate an image.") + + return output[0] + + +# Use AI to generate an Image based on a prompt +async def get_open_ai_image(input_str: str) -> str: + response = openai.Image.create( + api_key=settings.openai_api_key, + prompt=input_str, + n=1, + size="256x256", + ) + + return response["data"][0]["url"] + + +class Image(Tool): + description = "Used to sketch, draw, or generate an image." + public_description = "Generate AI images." + arg_description = ( + "The input prompt to the image generator. " + "This should be a detailed description of the image touching on image " + "style, image focus, color, etc." + ) + image_url = "/tools/replicate.png" + + async def call( + self, goal: str, task: str, input_str: str, *args: Any, **kwargs: Any + ) -> FastAPIStreamingResponse: + # Use the replicate API if its available, otherwise use DALL-E + try: + url = await get_replicate_image(input_str) + except RuntimeError: + url = await get_open_ai_image(input_str) + + return stream_string(f"![{input_str}]({url})") diff --git a/platform/reworkd_platform/web/api/agent/tools/open_ai_function.py b/platform/reworkd_platform/web/api/agent/tools/open_ai_function.py new file mode 100644 index 0000000..8f54cba --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/tools/open_ai_function.py @@ -0,0 +1,43 @@ +from typing import Type, TypedDict + +from reworkd_platform.web.api.agent.tools.tool import Tool +from reworkd_platform.web.api.agent.tools.tools import get_tool_name + + +class FunctionDescription(TypedDict): + """Representation of a callable function to the OpenAI API.""" + + name: str + """The name of the function.""" + description: str + """A description of the function.""" + parameters: dict[str, object] + """The parameters of the function.""" + + +def get_tool_function(tool: Type[Tool]) -> FunctionDescription: + """A function that will return the tool's function specification""" + name = get_tool_name(tool) + + return { + "name": name, + "description": tool.description, + "parameters": { + "type": "object", + "properties": { + "reasoning": { + "type": "string", + "description": ( + f"Reasoning is how the task will be accomplished with the current function. " + "Detail your overall plan along with any concerns you have." + "Ensure this reasoning value is in the user defined langauge " + ), + }, + "arg": { + "type": "string", + "description": tool.arg_description, + }, + }, + "required": ["reasoning", "arg"], + }, + } diff --git a/platform/reworkd_platform/web/api/agent/tools/reason.py b/platform/reworkd_platform/web/api/agent/tools/reason.py new file mode 100644 index 0000000..f34a017 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/tools/reason.py @@ -0,0 +1,27 @@ +from typing import Any + +from fastapi.responses import StreamingResponse as FastAPIStreamingResponse +from lanarky.responses import StreamingResponse +from langchain import LLMChain + +from reworkd_platform.web.api.agent.tools.tool import Tool + + +class Reason(Tool): + description = ( + "Reason about task via existing information or understanding. " + "Make decisions / selections from options." + ) + + async def call( + self, goal: str, task: str, input_str: str, *args: Any, **kwargs: Any + ) -> FastAPIStreamingResponse: + from reworkd_platform.web.api.agent.prompts import execute_task_prompt + + chain = LLMChain(llm=self.model, prompt=execute_task_prompt) + + return StreamingResponse.from_chain( + chain, + {"goal": goal, "language": self.language, "task": task}, + media_type="text/event-stream", + ) diff --git a/platform/reworkd_platform/web/api/agent/tools/search.py b/platform/reworkd_platform/web/api/agent/tools/search.py new file mode 100644 index 0000000..fb83e82 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/tools/search.py @@ -0,0 +1,109 @@ +from typing import Any, List +from urllib.parse import quote + +import aiohttp +from aiohttp import ClientResponseError +from fastapi.responses import StreamingResponse as FastAPIStreamingResponse +from loguru import logger + +from reworkd_platform.settings import settings +from reworkd_platform.web.api.agent.stream_mock import stream_string +from reworkd_platform.web.api.agent.tools.reason import Reason +from reworkd_platform.web.api.agent.tools.tool import Tool +from reworkd_platform.web.api.agent.tools.utils import ( + CitedSnippet, + summarize_with_sources, +) + +# Search google via serper.dev. Adapted from LangChain +# https://github.com/hwchase17/langchain/blob/master/langchain/utilities + + +async def _google_serper_search_results( + search_term: str, search_type: str = "search" +) -> dict[str, Any]: + headers = { + "X-API-KEY": settings.serp_api_key or "", + "Content-Type": "application/json", + } + params = { + "q": search_term, + } + + async with aiohttp.ClientSession() as session: + async with session.post( + f"https://google.serper.dev/{search_type}", headers=headers, params=params + ) as response: + response.raise_for_status() + search_results = await response.json() + return search_results + + +class Search(Tool): + description = ( + "Search Google for short up to date searches for simple questions about public information " + "news and people.\n" + ) + public_description = "Search google for information about current events." + arg_description = "The query argument to search for. This value is always populated and cannot be an empty string." + image_url = "/tools/google.png" + + @staticmethod + def available() -> bool: + return settings.serp_api_key is not None and settings.serp_api_key != "" + + async def call( + self, goal: str, task: str, input_str: str, *args: Any, **kwargs: Any + ) -> FastAPIStreamingResponse: + try: + return await self._call(goal, task, input_str, *args, **kwargs) + except ClientResponseError: + logger.exception("Error calling Serper API, falling back to reasoning") + return await Reason(self.model, self.language).call( + goal, task, input_str, *args, **kwargs + ) + + async def _call( + self, goal: str, task: str, input_str: str, *args: Any, **kwargs: Any + ) -> FastAPIStreamingResponse: + results = await _google_serper_search_results( + input_str, + ) + + k = 5 # Number of results to return + snippets: List[CitedSnippet] = [] + + if results.get("answerBox"): + answer_values = [] + answer_box = results.get("answerBox", {}) + if answer_box.get("answer"): + answer_values.append(answer_box.get("answer")) + elif answer_box.get("snippet"): + answer_values.append(answer_box.get("snippet").replace("\n", " ")) + elif answer_box.get("snippetHighlighted"): + answer_values.append(", ".join(answer_box.get("snippetHighlighted"))) + + if len(answer_values) > 0: + snippets.append( + CitedSnippet( + len(snippets) + 1, + "\n".join(answer_values), + f"https://www.google.com/search?q={quote(input_str)}", + ) + ) + + for i, result in enumerate(results["organic"][:k]): + texts = [] + link = "" + if "snippet" in result: + texts.append(result["snippet"]) + if "link" in result: + link = result["link"] + for attribute, value in result.get("attributes", {}).items(): + texts.append(f"{attribute}: {value}.") + snippets.append(CitedSnippet(len(snippets) + 1, "\n".join(texts), link)) + + if len(snippets) == 0: + return stream_string("No good Google Search Result was found", True) + + return summarize_with_sources(self.model, self.language, goal, task, snippets) diff --git a/platform/reworkd_platform/web/api/agent/tools/sidsearch.py b/platform/reworkd_platform/web/api/agent/tools/sidsearch.py new file mode 100644 index 0000000..e99453c --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/tools/sidsearch.py @@ -0,0 +1,143 @@ +import json +from datetime import datetime, timedelta +from typing import Any, List, Optional + +import aiohttp +from fastapi.responses import StreamingResponse as FastAPIStreamingResponse +from loguru import logger + +from reworkd_platform.db.crud.oauth import OAuthCrud +from reworkd_platform.db.models.auth import OauthCredentials +from reworkd_platform.schemas.user import UserBase +from reworkd_platform.services.security import encryption_service +from reworkd_platform.settings import settings +from reworkd_platform.web.api.agent.stream_mock import stream_string +from reworkd_platform.web.api.agent.tools.tool import Tool +from reworkd_platform.web.api.agent.tools.utils import Snippet, summarize_sid + +from reworkd_platform.web.api.agent.tools.search import Search + + +async def _sid_search_results( + search_term: str, limit: int, token: str +) -> dict[str, Any]: + headers = {"Authorization": f"Bearer {token}", "Content-Type": "application/json"} + data = {"query": search_term, "limit": limit} + + async with aiohttp.ClientSession() as session: + async with session.post( + "https://api.sid.ai/v1/users/me/query", + headers=headers, + data=json.dumps(data), + ) as response: + response.raise_for_status() + search_results = await response.json() + return search_results + + +async def token_exchange(refresh_token: str) -> tuple[str, datetime]: + data = { + "grant_type": "refresh_token", + "client_id": settings.sid_client_id, + "client_secret": settings.sid_client_secret, + "redirect_uri": settings.sid_redirect_uri, + "refresh_token": refresh_token, + } + async with aiohttp.ClientSession() as session: + async with session.post( + "https://auth.sid.ai/oauth/token", data=data + ) as response: + response.raise_for_status() + response_data = await response.json() + access_token = response_data["access_token"] + expires_in = response_data["expires_in"] + return access_token, datetime.now() + timedelta(seconds=expires_in) + + +async def get_access_token( + oauth_crud: OAuthCrud, installation: OauthCredentials +) -> Optional[str]: + if not installation.refresh_token_enc: + return None + if datetime.now() + timedelta(minutes=5) > installation.access_token_expiration: + refresh_token = encryption_service.decrypt(installation.refresh_token_enc) + access_token, expiration = await token_exchange(refresh_token) + installation.access_token_enc = encryption_service.encrypt(access_token) + installation.access_token_expiration = expiration + await installation.save(oauth_crud.session) + + return encryption_service.decrypt(installation.access_token_enc) + + +class SID(Tool): + public_description = "Grant access to your Notion, Google Drive, etc." + description = """ + Find private information by searching through notion, email and google drive. + Should be used when questions refer to personal information. + """ + arg_description = ( + "The query to search for. It should be a question in natural language." + ) + image_url = "/tools/sid.png" + + @staticmethod + def available() -> bool: + return settings.sid_enabled + + @staticmethod + async def dynamic_available(user: UserBase, oauth_crud: OAuthCrud) -> bool: + installation = await oauth_crud.get_installation_by_user_id( + user_id=user.id, provider="sid" + ) + + return bool(installation and installation.access_token_enc) + + async def _run_sid( + self, + goal: str, + task: str, + input_str: str, + user: UserBase, + oauth_crud: OAuthCrud, + ) -> Optional[FastAPIStreamingResponse]: + installation = await oauth_crud.get_installation_by_user_id( + user_id=user.id, provider="sid" + ) + if not installation: + logger.warning("No sid installation found for user {user.id}") + return None + + token = await get_access_token(oauth_crud, installation) + if not token: + logger.warning("Unable to fetch sid access token for {user.id}") + return None + + try: + res = await _sid_search_results(input_str, limit=10, token=token) + snippets: List[Snippet] = [ + Snippet(text=result["text"]) for result in (res.get("results", [])) + ] + except Exception as e: + logger.exception(e) + return None + + if not snippets: + return None + + return summarize_sid(self.model, self.language, goal, task, snippets) + + + async def call( + self, + goal: str, + task: str, + input_str: str, + user: UserBase, + oauth_crud: OAuthCrud, + *args: Any, + **kwargs: Any, + ) -> FastAPIStreamingResponse: + # fall back to search if no results are found + return await self._run_sid(goal, task, input_str, user, oauth_crud) or await Search(self.model, self.language).call( + goal, task, input_str, user, oauth_crud + ) diff --git a/platform/reworkd_platform/web/api/agent/tools/tool.py b/platform/reworkd_platform/web/api/agent/tools/tool.py new file mode 100644 index 0000000..8cc8952 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/tools/tool.py @@ -0,0 +1,41 @@ +from abc import ABC, abstractmethod +from typing import Optional + +from lanarky.responses import StreamingResponse +from langchain.chat_models.base import BaseChatModel + +from reworkd_platform.db.crud.oauth import OAuthCrud +from reworkd_platform.schemas.user import UserBase + + +class Tool(ABC): + description: str = "" + public_description: str = "" + arg_description: str = "The argument to the function." + image_url: str = "/tools/openai-white.png" + + model: BaseChatModel + language: str + + def __init__(self, model: BaseChatModel, language: str): + self.model = model + self.language = language + + @staticmethod + def available() -> bool: + return True + + @staticmethod + async def dynamic_available(user: UserBase, oauth_crud: OAuthCrud) -> bool: + return True + + @abstractmethod + async def call( + self, + goal: str, + task: str, + input_str: str, + user: UserBase, + oauth_crud: OAuthCrud, + ) -> StreamingResponse: + pass diff --git a/platform/reworkd_platform/web/api/agent/tools/tools.py b/platform/reworkd_platform/web/api/agent/tools/tools.py new file mode 100644 index 0000000..12c1dc3 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/tools/tools.py @@ -0,0 +1,78 @@ +from typing import List, Type + +from reworkd_platform.db.crud.oauth import OAuthCrud +from reworkd_platform.schemas.user import UserBase +from reworkd_platform.web.api.agent.tools.code import Code +from reworkd_platform.web.api.agent.tools.image import Image +from reworkd_platform.web.api.agent.tools.search import Search +from reworkd_platform.web.api.agent.tools.sidsearch import SID +from reworkd_platform.web.api.agent.tools.tool import Tool + + +async def get_user_tools( + tool_names: List[str], user: UserBase, crud: OAuthCrud +) -> List[Type[Tool]]: + tools = list(map(get_tool_from_name, tool_names)) + get_default_tools() + return [tool for tool in tools if await tool.dynamic_available(user, crud)] + + +def get_available_tools() -> List[Type[Tool]]: + return get_external_tools() + get_default_tools() + + +def get_available_tools_names() -> List[str]: + return [get_tool_name(tool) for tool in get_available_tools()] + + +def get_external_tools() -> List[Type[Tool]]: + return [ + # Wikipedia, # TODO: Remove if async doesn't work + Image, + Code, + SID, + ] + + +def get_default_tools() -> List[Type[Tool]]: + return [ + Search, + ] + + +def get_tool_name(tool: Type[Tool]) -> str: + return format_tool_name(tool.__name__) + + +def format_tool_name(tool_name: str) -> str: + return tool_name.lower() + + +def get_tools_overview(tools: List[Type[Tool]]) -> str: + """Return a formatted string of name: description pairs for all available tools""" + + # Create a list of formatted strings + formatted_strings = [ + f"'{get_tool_name(tool)}': {tool.description}" for tool in tools + ] + + # Remove duplicates by converting the list to a set and back to a list + unique_strings = list(set(formatted_strings)) + + # Join the unique strings with newlines + return "\n".join(unique_strings) + + +def get_tool_from_name(tool_name: str) -> Type[Tool]: + for tool in get_available_tools(): + if get_tool_name(tool) == format_tool_name(tool_name): + return tool + + return get_default_tool() + + +def get_default_tool() -> Type[Tool]: + return Search + + +def get_default_tool_name() -> str: + return get_tool_name(get_default_tool()) diff --git a/platform/reworkd_platform/web/api/agent/tools/utils.py b/platform/reworkd_platform/web/api/agent/tools/utils.py new file mode 100644 index 0000000..5a1b775 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/tools/utils.py @@ -0,0 +1,98 @@ +from dataclasses import dataclass +from typing import List + +from fastapi.responses import StreamingResponse as FastAPIStreamingResponse +from lanarky.responses import StreamingResponse +from langchain import LLMChain +from langchain.chat_models.base import BaseChatModel + + +@dataclass +class CitedSnippet: + index: int + text: str + url: str = "" + + def __repr__(self) -> str: + """ + The string representation the AI model will see + """ + return f"{{i: {self.index}, text: {self.text}, url: {self.url}}}" + + +@dataclass +class Snippet: + text: str + + def __repr__(self) -> str: + """ + The string representation the AI model will see + """ + return f"{{text: {self.text}}}" + + +def summarize( + model: BaseChatModel, + language: str, + goal: str, + text: str, +) -> FastAPIStreamingResponse: + from reworkd_platform.web.api.agent.prompts import summarize_prompt + + chain = LLMChain(llm=model, prompt=summarize_prompt) + + return StreamingResponse.from_chain( + chain, + { + "goal": goal, + "language": language, + "text": text, + }, + media_type="text/event-stream", + ) + + +def summarize_with_sources( + model: BaseChatModel, + language: str, + goal: str, + query: str, + snippets: List[CitedSnippet], +) -> FastAPIStreamingResponse: + from reworkd_platform.web.api.agent.prompts import summarize_with_sources_prompt + + chain = LLMChain(llm=model, prompt=summarize_with_sources_prompt) + + return StreamingResponse.from_chain( + chain, + { + "goal": goal, + "query": query, + "language": language, + "snippets": snippets, + }, + media_type="text/event-stream", + ) + + +def summarize_sid( + model: BaseChatModel, + language: str, + goal: str, + query: str, + snippets: List[Snippet], +) -> FastAPIStreamingResponse: + from reworkd_platform.web.api.agent.prompts import summarize_sid_prompt + + chain = LLMChain(llm=model, prompt=summarize_sid_prompt) + + return StreamingResponse.from_chain( + chain, + { + "goal": goal, + "query": query, + "language": language, + "snippets": snippets, + }, + media_type="text/event-stream", + ) diff --git a/platform/reworkd_platform/web/api/agent/tools/wikipedia_search.py b/platform/reworkd_platform/web/api/agent/tools/wikipedia_search.py new file mode 100644 index 0000000..f9a6a89 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/tools/wikipedia_search.py @@ -0,0 +1,30 @@ +from typing import Any + +from lanarky.responses import StreamingResponse +from langchain import WikipediaAPIWrapper + +from reworkd_platform.web.api.agent.stream_mock import stream_string +from reworkd_platform.web.api.agent.tools.tool import Tool + + +class Wikipedia(Tool): + description = ( + "Search Wikipedia for information about historical people, companies, events, " + "places or research. This should be used over search for broad overviews of " + "specific nouns." + ) + public_description = "Search Wikipedia for historical information." + arg_description = "A simple query string of just the noun in question." + image_url = "/tools/wikipedia.png" + + async def call( + self, goal: str, task: str, input_str: str, *args: Any, **kwargs: Any + ) -> StreamingResponse: + wikipedia_client = WikipediaAPIWrapper( + wiki_client=None, # Meta private value but mypy will complain its missing + ) + + # TODO: Make the below async + wikipedia_search = wikipedia_client.run(input_str) + # return summarize_with_sources(self.model, self.language, goal, task, [wikipedia_search]) + return stream_string("Wikipedia is currently not working") diff --git a/platform/reworkd_platform/web/api/agent/views.py b/platform/reworkd_platform/web/api/agent/views.py new file mode 100644 index 0000000..c69e242 --- /dev/null +++ b/platform/reworkd_platform/web/api/agent/views.py @@ -0,0 +1,145 @@ +from typing import List, Optional + +from fastapi import APIRouter, Depends +from fastapi.responses import StreamingResponse as FastAPIStreamingResponse +from pydantic import BaseModel + +from reworkd_platform.schemas.agent import ( + AgentChat, + AgentRun, + AgentSummarize, + AgentTaskAnalyze, + AgentTaskCreate, + AgentTaskExecute, + NewTasksResponse, +) +from reworkd_platform.web.api.agent.agent_service.agent_service import AgentService +from reworkd_platform.web.api.agent.agent_service.agent_service_provider import ( + get_agent_service, +) +from reworkd_platform.web.api.agent.analysis import Analysis +from reworkd_platform.web.api.agent.dependancies import ( + agent_analyze_validator, + agent_chat_validator, + agent_create_validator, + agent_execute_validator, + agent_start_validator, + agent_summarize_validator, +) +from reworkd_platform.web.api.agent.tools.tools import get_external_tools, get_tool_name + +router = APIRouter() + + +@router.post( + "/start", +) +async def start_tasks( + req_body: AgentRun = Depends(agent_start_validator), + agent_service: AgentService = Depends(get_agent_service(agent_start_validator)), +) -> NewTasksResponse: + new_tasks = await agent_service.start_goal_agent(goal=req_body.goal) + return NewTasksResponse(newTasks=new_tasks, run_id=req_body.run_id) + + +@router.post("/analyze") +async def analyze_tasks( + req_body: AgentTaskAnalyze = Depends(agent_analyze_validator), + agent_service: AgentService = Depends(get_agent_service(agent_analyze_validator)), +) -> Analysis: + return await agent_service.analyze_task_agent( + goal=req_body.goal, + task=req_body.task or "", + tool_names=req_body.tool_names or [], + ) + + +@router.post("/execute") +async def execute_tasks( + req_body: AgentTaskExecute = Depends(agent_execute_validator), + agent_service: AgentService = Depends( + get_agent_service(validator=agent_execute_validator, streaming=True), + ), +) -> FastAPIStreamingResponse: + return await agent_service.execute_task_agent( + goal=req_body.goal or "", + task=req_body.task or "", + analysis=req_body.analysis, + ) + + +@router.post("/create") +async def create_tasks( + req_body: AgentTaskCreate = Depends(agent_create_validator), + agent_service: AgentService = Depends(get_agent_service(agent_create_validator)), +) -> NewTasksResponse: + new_tasks = await agent_service.create_tasks_agent( + goal=req_body.goal, + tasks=req_body.tasks or [], + last_task=req_body.last_task or "", + result=req_body.result or "", + completed_tasks=req_body.completed_tasks or [], + ) + return NewTasksResponse(newTasks=new_tasks, run_id=req_body.run_id) + + +@router.post("/summarize") +async def summarize( + req_body: AgentSummarize = Depends(agent_summarize_validator), + agent_service: AgentService = Depends( + get_agent_service( + validator=agent_summarize_validator, + streaming=True, + llm_model="gpt-4o", + ), + ), +) -> FastAPIStreamingResponse: + return await agent_service.summarize_task_agent( + goal=req_body.goal or "", + results=req_body.results, + ) + + +@router.post("/chat") +async def chat( + req_body: AgentChat = Depends(agent_chat_validator), + agent_service: AgentService = Depends( + get_agent_service( + validator=agent_chat_validator, + streaming=True, + llm_model="gpt-4o", + ), + ), +) -> FastAPIStreamingResponse: + return await agent_service.chat( + message=req_body.message, + results=req_body.results, + ) + + +class ToolModel(BaseModel): + name: str + description: str + color: str + image_url: Optional[str] + + +class ToolsResponse(BaseModel): + tools: List[ToolModel] + + +@router.get("/tools") +async def get_user_tools() -> ToolsResponse: + tools = get_external_tools() + formatted_tools = [ + ToolModel( + name=get_tool_name(tool), + description=tool.public_description, + color="TODO: Change to image of tool", + image_url=tool.image_url, + ) + for tool in tools + if tool.available() + ] + + return ToolsResponse(tools=formatted_tools) diff --git a/platform/reworkd_platform/web/api/auth/__init__.py b/platform/reworkd_platform/web/api/auth/__init__.py new file mode 100644 index 0000000..7038649 --- /dev/null +++ b/platform/reworkd_platform/web/api/auth/__init__.py @@ -0,0 +1,3 @@ +from .views import router + +__all__ = ["router"] diff --git a/platform/reworkd_platform/web/api/auth/views.py b/platform/reworkd_platform/web/api/auth/views.py new file mode 100644 index 0000000..4c86842 --- /dev/null +++ b/platform/reworkd_platform/web/api/auth/views.py @@ -0,0 +1,69 @@ +from typing import Any, Dict, Optional + +from fastapi import APIRouter, Depends, HTTPException +from fastapi.responses import RedirectResponse + +from reworkd_platform.db.crud.oauth import OAuthCrud +from reworkd_platform.db.crud.organization import OrganizationCrud, OrganizationUsers +from reworkd_platform.schemas import UserBase +from reworkd_platform.services.oauth_installers import OAuthInstaller, installer_factory +from reworkd_platform.settings import settings +from reworkd_platform.web.api.dependencies import get_current_user + +router = APIRouter() + +@router.get("/organization/{name}") +async def organizations( + name: str, crud: OrganizationCrud = Depends(OrganizationCrud.inject) +) -> OrganizationUsers: + if org := await crud.get_by_name(name): + return org + raise HTTPException(status_code=404) + + +@router.get("/{provider}") +async def oauth_install( + redirect: str = settings.frontend_url, + user: UserBase = Depends(get_current_user), + installer: OAuthInstaller = Depends(installer_factory), +) -> str: + """Install an OAuth App""" + return await installer.install(user, redirect) + + +@router.get("/{provider}/uninstall") +async def oauth_uninstall( + user: UserBase = Depends(get_current_user), + installer: OAuthInstaller = Depends(installer_factory), +) -> Dict[str, Any]: + res = await installer.uninstall(user) + return { + "success": res, + } + + +@router.get("/{provider}/callback") +async def oauth_callback( + code: Optional[str] = None, + state: Optional[str] = None, + installer: OAuthInstaller = Depends(installer_factory), +) -> RedirectResponse: + """Callback for OAuth App""" + + # if code or state are missing (user cancelled), redirect to frontend + if not code or not state: + return RedirectResponse(url=settings.frontend_url) + + creds = await installer.install_callback(code, state) + return RedirectResponse(url=creds.redirect_uri) + + +@router.get("/sid/info") +async def sid_info( + user: UserBase = Depends(get_current_user), + crud: OAuthCrud = Depends(OAuthCrud.inject), +) -> Dict[str, Any]: + creds = await crud.get_installation_by_user_id(user.id, "sid") + return { + "connected": bool(creds and creds.access_token_enc), + } diff --git a/platform/reworkd_platform/web/api/dependencies.py b/platform/reworkd_platform/web/api/dependencies.py new file mode 100644 index 0000000..9546337 --- /dev/null +++ b/platform/reworkd_platform/web/api/dependencies.py @@ -0,0 +1,41 @@ +from datetime import datetime +from typing import Annotated + +from fastapi import Depends, Header +from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm.exc import NoResultFound + +from reworkd_platform.db.crud.user import UserCrud +from reworkd_platform.db.dependencies import get_db_session +from reworkd_platform.schemas.user import UserBase +from reworkd_platform.web.api.http_responses import forbidden + + +def user_crud( + session: AsyncSession = Depends(get_db_session), +) -> UserCrud: + return UserCrud(session) + + +async def get_current_user( + x_organization_id: Annotated[str | None, Header()] = None, + bearer: HTTPAuthorizationCredentials = Depends(HTTPBearer()), + crud: UserCrud = Depends(user_crud), +) -> UserBase: + session_token = bearer.credentials + + try: + session = await crud.get_user_session(session_token) + except NoResultFound: + raise forbidden("Invalid session token") + + if session.expires <= datetime.utcnow(): + raise forbidden("Session token expired") + + return UserBase( + id=session.user.id, + name=session.user.name, + email=session.user.email, + image=session.user.image, + ) diff --git a/platform/reworkd_platform/web/api/error_handling.py b/platform/reworkd_platform/web/api/error_handling.py new file mode 100644 index 0000000..10124b5 --- /dev/null +++ b/platform/reworkd_platform/web/api/error_handling.py @@ -0,0 +1,22 @@ +from fastapi import Request +from fastapi.responses import JSONResponse +from loguru import logger + +from reworkd_platform.web.api.errors import PlatformaticError + + +async def platformatic_exception_handler( + _: Request, + platform_exception: PlatformaticError, +) -> JSONResponse: + if platform_exception.should_log: + logger.exception(platform_exception) + + return JSONResponse( + status_code=409, + content={ + "error": platform_exception.__class__.__name__, + "detail": platform_exception.detail, + "code": platform_exception.code, + }, + ) diff --git a/platform/reworkd_platform/web/api/errors.py b/platform/reworkd_platform/web/api/errors.py new file mode 100644 index 0000000..85cad7d --- /dev/null +++ b/platform/reworkd_platform/web/api/errors.py @@ -0,0 +1,38 @@ +class PlatformaticError(Exception): + """ + Parent exception class for all expected backend exceptions + Will be caught and handled by the platform_exception_handler + Shoutout to https://platformatic.dev/ + """ + + detail: str + code: int + should_log: bool = True + + def __init__( + self, + base_exception: Exception, + detail: str = "", + code: int = 409, + should_log: bool = True, + ): + super().__init__(base_exception) + self.detail = detail + self.code = code + self.should_log = should_log + + +class OpenAIError(PlatformaticError): + pass + + +class ReplicateError(PlatformaticError): + pass + + +class MaxLoopsError(PlatformaticError): + pass + + +class MultipleSummaryError(PlatformaticError): + pass diff --git a/platform/reworkd_platform/web/api/http_responses.py b/platform/reworkd_platform/web/api/http_responses.py new file mode 100644 index 0000000..50b6623 --- /dev/null +++ b/platform/reworkd_platform/web/api/http_responses.py @@ -0,0 +1,9 @@ +from fastapi import HTTPException, status + + +def forbidden(detail: str = "Forbidden") -> HTTPException: + return HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail=detail) + + +def not_found(detail: str = "Not Found") -> HTTPException: + return HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=detail) diff --git a/platform/reworkd_platform/web/api/memory/__init__.py b/platform/reworkd_platform/web/api/memory/__init__.py new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/platform/reworkd_platform/web/api/memory/__init__.py @@ -0,0 +1 @@ + diff --git a/platform/reworkd_platform/web/api/memory/memory.py b/platform/reworkd_platform/web/api/memory/memory.py new file mode 100644 index 0000000..f565944 --- /dev/null +++ b/platform/reworkd_platform/web/api/memory/memory.py @@ -0,0 +1,35 @@ +from abc import ABC, abstractmethod +from typing import Any, List, Tuple + +SimilarTasks = List[Tuple[str, float]] + + +class AgentMemory(ABC): + """ + Base class for AgentMemory + Expose __enter__ and __exit__ to ensure connections get closed within requests + """ + + @abstractmethod + def __enter__(self) -> "AgentMemory": + raise NotImplementedError() + + @abstractmethod + def __exit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> None: + raise NotImplementedError() + + @abstractmethod + def add_tasks(self, tasks: List[str]) -> List[str]: + raise NotImplementedError() + + @abstractmethod + def get_similar_tasks(self, query: str, score_threshold: float = 0.95) -> List[str]: + raise NotImplementedError() + + @abstractmethod + def reset_class(self) -> None: + raise NotImplementedError() + + @staticmethod + def should_use() -> bool: + return True diff --git a/platform/reworkd_platform/web/api/memory/memory_with_fallback.py b/platform/reworkd_platform/web/api/memory/memory_with_fallback.py new file mode 100644 index 0000000..874d14a --- /dev/null +++ b/platform/reworkd_platform/web/api/memory/memory_with_fallback.py @@ -0,0 +1,53 @@ +from __future__ import annotations + +from typing import Any, List + +from loguru import logger + +from reworkd_platform.web.api.memory.memory import AgentMemory + + +class MemoryWithFallback(AgentMemory): + """ + Wrap a primary AgentMemory provider and use a fallback in the case that it fails + We do this because we've had issues with Weaviate crashing and causing memory to randomly fail + """ + + def __init__(self, primary: AgentMemory, secondary: AgentMemory): + self.primary = primary + self.secondary = secondary + + def __enter__(self) -> AgentMemory: + try: + return self.primary.__enter__() + except Exception as e: + logger.exception(e) + return self.secondary.__enter__() + + def __exit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> None: + try: + self.primary.__exit__(exc_type, exc_value, traceback) + except Exception as e: + logger.exception(e) + self.secondary.__exit__(exc_type, exc_value, traceback) + + def add_tasks(self, tasks: List[str]) -> List[str]: + try: + return self.primary.add_tasks(tasks) + except Exception as e: + logger.exception(e) + return self.secondary.add_tasks(tasks) + + def get_similar_tasks(self, query: str, score_threshold: float = 0) -> List[str]: + try: + return self.primary.get_similar_tasks(query) + except Exception as e: + logger.exception(e) + return self.secondary.get_similar_tasks(query) + + def reset_class(self) -> None: + try: + self.primary.reset_class() + except Exception as e: + logger.exception(e) + self.secondary.reset_class() diff --git a/platform/reworkd_platform/web/api/memory/null.py b/platform/reworkd_platform/web/api/memory/null.py new file mode 100644 index 0000000..2861143 --- /dev/null +++ b/platform/reworkd_platform/web/api/memory/null.py @@ -0,0 +1,25 @@ +from typing import Any, List + +from reworkd_platform.web.api.memory.memory import AgentMemory + + +class NullAgentMemory(AgentMemory): + """ + NullObjectPattern for AgentMemory + Used when database connections cannot be established + """ + + def __enter__(self) -> AgentMemory: + return self + + def __exit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> None: + pass + + def add_tasks(self, tasks: List[str]) -> List[str]: + return [] + + def get_similar_tasks(self, query: str, score_threshold: float = 0) -> List[str]: + return [] + + def reset_class(self) -> None: + pass diff --git a/platform/reworkd_platform/web/api/metadata.py b/platform/reworkd_platform/web/api/metadata.py new file mode 100644 index 0000000..39f4ab8 --- /dev/null +++ b/platform/reworkd_platform/web/api/metadata.py @@ -0,0 +1,68 @@ +from typing import Optional +from urllib.parse import urljoin, urlparse + +from bs4 import BeautifulSoup +from fastapi import APIRouter +from httpx import AsyncClient, HTTPStatusError, RequestError +from pydantic import BaseModel, Field + +from reworkd_platform.web.api.errors import PlatformaticError + +router = APIRouter() + + +class Metadata(BaseModel): + title: Optional[str] = Field(default=None, description="Title of the page") + hostname: Optional[str] = Field(default=None, description="Hostname of the page") + favicon: Optional[str] = Field(default=None, description="Favicon of the page") + + +@router.get( + "", +) +async def extract_metadata(url: str) -> Metadata: + try: + headers = { + "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 12_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/104.0.0.0 Safari/537.36" + } + + async with AsyncClient() as client: + res = await client.get(url, headers=headers) + + res.raise_for_status() + + soup = BeautifulSoup(res.text, "html.parser") + parsed_url = urlparse(url) + + metadata = Metadata( + hostname=parsed_url.hostname, + title=soup.title.string.strip() if soup.title else None, + ) + + favicon = None + for link in soup.find_all("link", rel=lambda x: x in ["icon", "shortcut icon"]): + favicon = link.get("href") + if not favicon.startswith("http"): + favicon = urljoin(url, favicon) + break + + metadata.favicon = ( + favicon + if favicon + else f"{parsed_url.scheme}://{parsed_url.hostname}/favicon.ico" + ) + + return metadata + + except (RequestError, HTTPStatusError): + parsed_url = urlparse(url) + return Metadata( + hostname=parsed_url.hostname, + favicon=f"{parsed_url.scheme}://{parsed_url.hostname}/favicon.ico", + ) + except Exception as e: + raise PlatformaticError( + base_exception=e, + detail=f"Could not extract metadata from {url}", + should_log=False, + ) diff --git a/platform/reworkd_platform/web/api/models/__init__.py b/platform/reworkd_platform/web/api/models/__init__.py new file mode 100644 index 0000000..28c78a7 --- /dev/null +++ b/platform/reworkd_platform/web/api/models/__init__.py @@ -0,0 +1,4 @@ +"""API for llm models""" +from reworkd_platform.web.api.models.views import router + +__all__ = ["router"] diff --git a/platform/reworkd_platform/web/api/models/views.py b/platform/reworkd_platform/web/api/models/views.py new file mode 100644 index 0000000..b2bbc61 --- /dev/null +++ b/platform/reworkd_platform/web/api/models/views.py @@ -0,0 +1,33 @@ +from typing import List + +from fastapi import APIRouter, Depends +from pydantic import BaseModel, Field + +from reworkd_platform.schemas.agent import LLM_MODEL_MAX_TOKENS +from reworkd_platform.schemas.user import UserBase +from reworkd_platform.web.api.dependencies import get_current_user + +router = APIRouter() + + +class ModelWithAccess(BaseModel): + name: str + max_tokens: int + has_access: bool = Field( + default=False, description="Whether the user has access to this model" + ) + + @staticmethod + def from_model(name: str, max_tokens: int, user: UserBase) -> "ModelWithAccess": + has_access = user is not None + return ModelWithAccess(name=name, max_tokens=max_tokens, has_access=has_access) + + +@router.get("") +async def get_models( + user: UserBase = Depends(get_current_user), +) -> List[ModelWithAccess]: + return [ + ModelWithAccess.from_model(name=model, max_tokens=tokens, user=user) + for model, tokens in LLM_MODEL_MAX_TOKENS.items() + ] diff --git a/platform/reworkd_platform/web/api/monitoring/__init__.py b/platform/reworkd_platform/web/api/monitoring/__init__.py new file mode 100644 index 0000000..64a6bf4 --- /dev/null +++ b/platform/reworkd_platform/web/api/monitoring/__init__.py @@ -0,0 +1,4 @@ +"""API for checking project status.""" +from reworkd_platform.web.api.monitoring.views import router + +__all__ = ["router"] diff --git a/platform/reworkd_platform/web/api/monitoring/views.py b/platform/reworkd_platform/web/api/monitoring/views.py new file mode 100644 index 0000000..4633c44 --- /dev/null +++ b/platform/reworkd_platform/web/api/monitoring/views.py @@ -0,0 +1,21 @@ +from fastapi import APIRouter + +router = APIRouter() + + +@router.get("/health") +def health_check() -> None: + """ + Checks the health of a project. + + It returns 200 if the project is healthy. + """ + return "working man" + + +@router.get("/error") +def error_check() -> None: + """ + Checks that errors are being correctly logged. + """ + raise Exception("This is an expected error from the error check endpoint!") diff --git a/platform/reworkd_platform/web/api/router.py b/platform/reworkd_platform/web/api/router.py new file mode 100644 index 0000000..70b235a --- /dev/null +++ b/platform/reworkd_platform/web/api/router.py @@ -0,0 +1,10 @@ +from fastapi.routing import APIRouter + +from reworkd_platform.web.api import agent, auth, metadata, models, monitoring + +api_router = APIRouter() +api_router.include_router(monitoring.router, prefix="/monitoring", tags=["monitoring"]) +api_router.include_router(agent.router, prefix="/agent", tags=["agent"]) +api_router.include_router(models.router, prefix="/models", tags=["models"]) +api_router.include_router(auth.router, prefix="/auth", tags=["auth"]) +api_router.include_router(metadata.router, prefix="/metadata", tags=["metadata"]) diff --git a/platform/reworkd_platform/web/application.py b/platform/reworkd_platform/web/application.py new file mode 100644 index 0000000..576787a --- /dev/null +++ b/platform/reworkd_platform/web/application.py @@ -0,0 +1,72 @@ +from importlib import metadata +import logging + +from fastapi import FastAPI,Request +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import UJSONResponse + +from reworkd_platform.logging import configure_logging +from reworkd_platform.settings import settings +from reworkd_platform.web.api.error_handling import platformatic_exception_handler +from reworkd_platform.web.api.errors import PlatformaticError +from reworkd_platform.web.api.router import api_router +from reworkd_platform.web.lifetime import ( + register_shutdown_event, + register_startup_event, +) +import time + + +def get_app() -> FastAPI: + """ + Get FastAPI application. + + This is the main constructor of an application. + + :return: application. + """ + configure_logging() + + logger = logging.getLogger(__name__) + + logger.info("Starting FastAPI application") + logger.debug(f"Frontend URL: {settings.frontend_url}") + logger.debug(f"Allowed Origins Regex: {settings.allowed_origins_regex}") + + app = FastAPI( + title="Reworkd Platform API", + version=metadata.version("reworkd_platform"), + docs_url="/api/docs", + redoc_url="/api/redoc", + openapi_url="/api/openapi.json", + default_response_class=UJSONResponse, + ) + + # Middleware to log requests + @app.middleware("http") + async def log_requests(request: Request, call_next): + start_time = time.time() + logger.info(f"Request: {request.method} {request.url}") + response = await call_next(request) + process_time = time.time() - start_time + logger.info(f"Completed: {request.method} {request.url} in {process_time:.2f} sec with status {response.status_code}") + return response + + app.add_middleware( + CORSMiddleware, + allow_origins=["https://allinix.ai"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], + ) + + # Adds startup and shutdown events. + register_startup_event(app) + register_shutdown_event(app) + + # Main router for the API. + app.include_router(router=api_router, prefix="/api") + + app.exception_handler(PlatformaticError)(platformatic_exception_handler) + + return app diff --git a/platform/reworkd_platform/web/lifetime.py b/platform/reworkd_platform/web/lifetime.py new file mode 100644 index 0000000..ffc58e6 --- /dev/null +++ b/platform/reworkd_platform/web/lifetime.py @@ -0,0 +1,77 @@ +from typing import Awaitable, Callable + +from fastapi import FastAPI +from sqlalchemy.ext.asyncio import async_sessionmaker + +from reworkd_platform.db.meta import meta +from reworkd_platform.db.models import load_all_models +from reworkd_platform.db.utils import create_engine +from reworkd_platform.services.tokenizer.lifetime import init_tokenizer + + +def _setup_db(app: FastAPI) -> None: # pragma: no cover + """ + Creates connection to the database. + + This function creates SQLAlchemy engine instance, + session_factory for creating sessions + and stores them in the application's state property. + + :param app: fastAPI application. + """ + engine = create_engine() + session_factory = async_sessionmaker( + engine, + expire_on_commit=False, + ) + app.state.db_engine = engine + app.state.db_session_factory = session_factory + + +async def _create_tables() -> None: # pragma: no cover + """Populates tables in the database.""" + load_all_models() + + engine = create_engine() + async with engine.begin() as connection: + await connection.run_sync(meta.create_all) + await engine.dispose() + + +def register_startup_event( + app: FastAPI, +) -> Callable[[], Awaitable[None]]: # pragma: no cover + """ + Actions to run on application startup. + + This function uses fastAPI app to store data + in the state, such as db_engine. + + :param app: the fastAPI application. + :return: function that actually performs actions. + """ + + @app.on_event("startup") + async def _startup() -> None: # noqa: WPS430 + _setup_db(app) + init_tokenizer(app) + # await _create_tables() + + return _startup + + +def register_shutdown_event( + app: FastAPI, +) -> Callable[[], Awaitable[None]]: # pragma: no cover + """ + Actions to run on application's shutdown. + + :param app: fastAPI application. + :return: function that actually performs actions. + """ + + @app.on_event("shutdown") + async def _shutdown() -> None: # noqa: WPS430 + await app.state.db_engine.dispose() + + return _shutdown