diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..5f5a745 --- /dev/null +++ b/.gitignore @@ -0,0 +1,193 @@ +# ============================================================================== +# PYTHON + NEXT.JS UNIFIED .GITIGNORE +# ============================================================================== + +# ---------------------------------------------------------------------------- +# Python: Byte-compiled & Cache +# ---------------------------------------------------------------------------- +__pycache__/ +*.py[cod] +*$py.class +*.so +.cython_debug/ +cython_debug/ + +# ---------------------------------------------------------------------------- +# Python: Packaging & Distribution +# ---------------------------------------------------------------------------- +build/ +dist/ +develop-eggs/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# ---------------------------------------------------------------------------- +# Python: Virtual Environments & Dependency Managers +# ---------------------------------------------------------------------------- +# Virtual environments +.venv +venv/ +env/ +ENV/ +env.bak/ +venv.bak/ +.pixi/ +__pypackages__/ + +# pyenv +.python-version + +# Dependency lock files (usually committed, uncomment if you prefer to ignore) +# Pipfile.lock +# poetry.lock +# uv.lock +# pdm.lock +# pixi.lock + +# Tool-specific +.tox/ +.nox/ +.pdm-python +.pdm-build/ +.poetry.toml +.pdm.toml + +# ---------------------------------------------------------------------------- +# Python: Testing & Coverage +# ---------------------------------------------------------------------------- +htmlcov/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py.cover +.hypothesis/ +.pytest_cache/ +cover/ +.ruff_cache/ + +# ---------------------------------------------------------------------------- +# Python: Development & IDE +# ---------------------------------------------------------------------------- +# Jupyter / IPython +.ipynb_checkpoints +profile_default/ +ipython_config.py + +# Type checkers & linters +.mypy_cache/ +.dmypy.json +dmypy.json +.pyre/ +.pytype/ + +# Project / IDE settings +.spyderproject +.spyproject +.ropeproject + +# PyCharm / JetBrains (uncomment to ignore entire folder) +# .idea/ + +# VS Code (uncomment to ignore entire folder) +# .vscode/ + +# ---------------------------------------------------------------------------- +# Python: Frameworks & Tools +# ---------------------------------------------------------------------------- +# Django +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask +instance/ +.webassets-cache + +# Scrapy +.scrapy + +# Celery +celerybeat-schedule +celerybeat-schedule.* +celerybeat.pid + +# Sphinx / MkDocs / Marimo +docs/_build/ +/site +marimo/_static/ +marimo/_lsp/ +__marimo__/ + +# Streamlit secrets +.streamlit/secrets.toml + +# ---------------------------------------------------------------------------- +# Next.js / Node.js +# ---------------------------------------------------------------------------- +# Dependencies +node_modules +.pnp +.pnp.js +.pnp.loader.mjs + +# Build outputs +.next/ +out/ +build/ + +# TypeScript +*.tsbuildinfo +next-env.d.ts + +# Testing (Jest, etc.) +coverage + +# Vercel +.vercel + +# ---------------------------------------------------------------------------- +# General / OS / Security +# ---------------------------------------------------------------------------- +# Environment variables +.env +.env*.local +.envrc + +# OS generated files +.DS_Store +Thumbs.db +*.pem + +# Logs & debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +*.log + +# PyPI config +.pypirc + +# ============================================================================== +# End of file +# ============================================================================== diff --git a/.vscode/extensions.json b/.vscode/extensions.json new file mode 100644 index 0000000..e559576 --- /dev/null +++ b/.vscode/extensions.json @@ -0,0 +1,10 @@ +{ + "recommendations": [ + "ms-python.python", + "ms-python.vscode-pylance", + "charliermarsh.ruff", + "tamasfe.even-better-toml", + "aaron-bond.better-comments", + "bierner.markdown-mermaid", + ] +} \ No newline at end of file diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000..0c4d369 --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,13 @@ +{ + // Workspace settings: Apply to a specific project or workspace. Overrides User Settings, but only for that workspace. + // Python settings + "python.envFile": "${workspaceFolder}/.env", + "python.terminal.activateEnvironment": true, + "python.defaultInterpreterPath": "${workspaceFolder}/backend/.venv/bin/python", + // Test settings + "python.testing.pytestEnabled": true, + "python.testing.unittestEnabled": false, + "python.testing.cwd": "${workspaceFolder}/", + "python.testing.pytestPath": "${workspaceFolder}/.venv/bin/pytest", + "python.testing.autoTestDiscoverOnSaveEnabled": true, +} diff --git a/.vscode/user-settings.json b/.vscode/user-settings.json new file mode 100644 index 0000000..008c85b --- /dev/null +++ b/.vscode/user-settings.json @@ -0,0 +1,168 @@ +{ + // User Settings: Personal preferences that apply globally across all VS Code workspaces for that user. + // General settings + "security.workspace.trust.untrustedFiles": "newWindow", + "window.zoomLevel": 2, + "files.exclude": { + "**/.git": true + }, + "extensions.autoUpdate": "onlyEnabledExtensions", + "chat.disableAIFeatures": true, + // ChatGPT Codex + "chatgpt.openOnStartup": true, + // Git settings + "git.autofetch": true, + "git.confirmSync": false, + "git.enableSmartCommit": true, + "git.showActionButton": { + "commit": false, + "publish": false, + "sync": false + }, + // Explorer settings + "explorer.excludeGitIgnore": true, + "explorer.autoReveal": true, + "explorer.confirmDelete": false, + "explorer.confirmDragAndDrop": false, + "explorer.sortOrder": "filesFirst", + // Workbench settings + "workbench.colorTheme": "Default Dark+", + "workbench.editor.enablePreview": false, + "workbench.editor.tabSizing": "shrink", + "workbench.settings.editor": "json", + // Editor settings + "ruff.importStrategy": "useBundled", + "editor.defaultFormatter": "charliermarsh.ruff", + "editor.formatOnPaste": true, + "editor.formatOnSave": true, + "editor.formatOnSaveMode": "file", + "editor.codeActionsOnSave": { + "source.organizeImports": "always", + "source.fixAll": "always" + }, + "files.autoSave": "onFocusChange", + "[json]": { + "editor.defaultFormatter": "vscode.json-language-features" + }, + "[jsonc]": { + "editor.defaultFormatter": "vscode.json-language-features" + }, + // Debug settings + "debug.toolBarLocation": "docked", + // Terminal settings + "terminal.integrated.tabs.enabled": true, + "terminal.integrated.tabs.hideCondition": "never", + "terminal.integrated.tabs.location": "right", + // Markdown settings + "markdown.preview.scrollEditorWithPreview": true, + "markdown.preview.scrollPreviewWithEditor": true, + // Color customization settings + "workbench.colorCustomizations": { + // Status bar + "statusBar.background": "#00D396", + "statusBar.foreground": "#0c1b29", + "statusBar.noFolderBackground": "#2A5677", + "statusBar.debuggingBackground": "#511f1f", + "statusBarItem.remoteBackground": "#00D396", + "statusBarItem.remoteForeground": "#0c1b29", + // Activity Bar (right bar) + "activityBar.background": "#0c1b29", + "activityBar.foreground": "#A1F7DB", + "activityBarBadge.background": "#00D396", + "activityBarBadge.foreground": "#0c1b29", + // Side bar (left panel) + "sideBar.background": "#0c1b29", + "sideBar.foreground": "#EDEDF0", + "sideBarTitle.foreground": "#A1F7DB", + "sideBarSectionHeader.background": "#2A5677", + // Editor + "editor.background": "#0c1b29", + "editor.foreground": "#EDEDF0", + "editor.lineHighlightBackground": "#005bd330", + "editor.selectionBackground": "#2A567780", + "editorCursor.foreground": "#A1F7DB", + // Tab colors + "tab.activeBackground": "#0c1b29", + "tab.activeBorderTop": "#00D396", + "tab.activeForeground": "#A1F7DB", + "tab.unfocusedActiveBorder": "#ffffff", + "tab.inactiveBackground": "#0c1b29", + "tab.inactiveForeground": "#ffffff", + // Editor group header + "editorGroupHeader.tabsBackground": "#0c1b29", + "editorGroupHeader.tabsBorder": "#00D396", + "editorGroupHeader.noTabsBackground": "#2A5677", + // Scrollbar + "scrollbarSlider.background": "#A1F7DB90", + "scrollbarSlider.hoverBackground": "#00D39690", + // Terminal + "terminal.background": "#0c1b29", + "terminal.tab.activeBorder": "#00D396", + "terminal.tab.background": "#2A5677", + "terminal.tab.activeForeground": "#00D396", + "terminal.tab.inactiveForeground": "#A1F7DB", + // Panel + "panelTitle.activeBorder": "#00D396", + "panel.background": "#0c1b29", + // Notifications + "notification.background": "#2A5677", + "notification.foreground": "#EDEDF0", + "notification.infoBackground": "#00D396", + "notification.warningBackground": "#A1F7DB", + "notification.errorBackground": "#511f1f", + // Window + "window.activeBorder": "#0c1b29", + "window.inactiveBorder": "#00D396", + "titleBar.activeBackground": "#0c1b29", + "titleBar.activeForeground": "#A1F7DB", + "titleBar.inactiveBackground": "#2A5677", + "titleBar.inactiveForeground": "#A1F7DB", + // Button styles + "button.background": "#00D396", + "button.foreground": "#0c1b29", + "button.hoverBackground": "#00B386", + // Input styles + "input.background": "#0c1b29", + "input.foreground": "#ffffff", + "input.placeholderForeground": "#A1F7DB80", + "inputValidation.errorBackground": "#511f1f", + "inputValidation.errorForeground": "#EDEDF0", + "inputValidation.errorBorder": "#FF5555", + // Quick Open / Command Palette input box + "quickInput.background": "#0c1b29", + "quickInput.foreground": "#ffffff", + "quickInputTitle.background": "#0F2436", + "pickerGroup.foreground": "#ffffff", + "pickerGroup.border": "#00D396", + "pickerGroup.background": "#00D396", + // Icons and decorations for quick + "keybindingLabel.foreground": "#1E3A57", + "keybindingLabel.background": "#00D396", + "keybindingLabel.border": "#00D396", + "keybindingLabel.bottomBorder": "#00D396", + // Quick Open/Command Palette selected item + "list.activeSelectionBackground": "#2a567775", + "list.activeSelectionForeground": "#ffffff", + "list.activeSelectionIconForeground": "#A1F7DB", + "list.hoverBackground": "#1E3A57", + "list.inactiveSelectionBackground": "#2A5677", + "list.inactiveSelectionForeground": "#A1F7DB", + // Editor widget (Quick Open, Search, Replace) + "editorWidget.background": "#0c1b29", + "editorWidget.border": "#00D396", + "editorWidget.foreground": "#EDEDF0", + "editor.findMatchBackground": "#00D39630", + "editor.findMatchHighlightBackground": "#2A567780", + "editor.findRangeHighlightBackground": "#2A567780", + "editor.findMatchBorder": "#00D396", + "editor.findMatchHighlightBorder": "#00D396" + }, + "workbench.startupEditor": "none", + "python.analysis.typeCheckingMode": "strict", + "markdown-pdf.displayHeaderFooter": false, + "markdown-pdf.highlightStyle": "github.css", + "markdown-mermaid.darkModeTheme": "forest", + "markdown-mermaid.lightModeTheme": "forest", + "markdown-pdf.mermaidServer": "https://unpkg.com/mermaid@11.12.1/dist/mermaid.js", + "markdown-pdf.executablePath": "/opt/google/chrome/google-chrome" +} \ No newline at end of file diff --git a/app/.dockerignore b/app/.dockerignore new file mode 100644 index 0000000..16bd95a --- /dev/null +++ b/app/.dockerignore @@ -0,0 +1,126 @@ +# ============================================================================== +# .dockerignore – Python + Next.js (Docker Compose) +# ============================================================================== + +# ---------------------------------------------------------------------------- +# Git & Version Control +# ---------------------------------------------------------------------------- +.git +.gitignore +.gitattributes +.github +.gitpod.yml + +# ---------------------------------------------------------------------------- +# Python-specific (already in .gitignore, but repeat for safety) +# ---------------------------------------------------------------------------- +__pycache__/ +*.py[cod] +*$py.class +*.so +*.egg-info/ +.installed.cfg +*.egg +*.manifest +*.spec + +# Virtual environments & caches +.venv +venv/ +env/ +ENV/ +.pixi/ +__pypackages__/ +.tox/ +.nox/ +.pdm-python +.pdm-build/ + +# Testing & coverage +htmlcov/ +.coverage +.coverage.* +.pytest_cache/ +.coverage/ +.ruff_cache/ +.mypy_cache/ +.pyre/ +.pytype/ + +# Jupyter / notebooks +.ipynb_checkpoints + +# IDEs & editors +.idea/ +.vscode/ +*.swp +*.swo +*~ + +# ---------------------------------------------------------------------------- +# Next.js / Node.js +# ---------------------------------------------------------------------------- +node_modules/ +.next/ +out/ +build/ +dist/ +.npm +.pnp.* +.yarn/ +.yarn-cache/ +.yarn-unplugged/ + +# TypeScript build info +*.tsbuildinfo +next-env.d.ts + +# Logs & debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* + +# ---------------------------------------------------------------------------- +# Environment & Secrets (never send to Docker daemon) +# ---------------------------------------------------------------------------- +.env +.env.local +.env*.local +.env.production +.env.development +.envrc +*.pem +*.key +*.crt +*.secrets +.streamlit/secrets.toml + +# ---------------------------------------------------------------------------- +# Docker & Compose (avoid recursive inclusion) +# ---------------------------------------------------------------------------- +Dockerfile* +docker-compose*.yml +docker-compose*.yaml +.dockerignore + +# ---------------------------------------------------------------------------- +# Misc / OS +# ---------------------------------------------------------------------------- +.DS_Store +Thumbs.db +desktop.ini + +# Local documentation builds +/site +docs/_build/ + +# Temporary files +tmp/ +temp/ +*.tmp +*.log + +# ============================================================================== +# End of file +# ============================================================================== diff --git a/app/.env.example b/app/.env.example new file mode 100644 index 0000000..ff167a1 --- /dev/null +++ b/app/.env.example @@ -0,0 +1,49 @@ +# +# Sample environment for docker compose. Copy to .env and adjust. +# +# Profiles: +# dev - laptop development (hot reload + localhost ports) +# prod - VPS behind Caddy (no public container ports; secrets provided by CI/CD) +# + +COMPOSE_PROFILES=dev +DOCKER_RESTART_POLICY=unless-stopped + +# PostgreSQL +POSTGRES_USER=postgres +POSTGRES_PASSWORD=postgres +POSTGRES_DB=avaaz +POSTGRES_HOST=postgres +POSTGRES_PORT=5432 +DATABASE_URL=postgresql+psycopg://${POSTGRES_USER}:${POSTGRES_PASSWORD}@${POSTGRES_HOST}:${POSTGRES_PORT}/${POSTGRES_DB} + +# Backend +ENVIRONMENT=development +SECRET_KEY=dev-secret-change-me +GUNICORN_WORKERS=4 +GUNICORN_TIMEOUT=120 +OPENAI_API_KEY= +GOOGLE_API_KEY= + +# LiveKit +LIVEKIT_API_KEY=devkey +LIVEKIT_API_SECRET=devsecret +LIVEKIT_LOG_LEVEL=info +LIVEKIT_WS_URL=ws://livekit:7880 +LIVEKIT_URL=http://livekit:7880 + +# Frontend +NEXT_PUBLIC_API_URL=http://localhost:8000 +NEXT_PUBLIC_LIVEKIT_WS_URL=ws://localhost:7880 + +# Production overrides (supply via secrets/CI, not committed): +# COMPOSE_PROFILES=prod +# ENVIRONMENT=production +# SECRET_KEY= +# NEXT_PUBLIC_API_URL=https://api.avaaz.ai +# NEXT_PUBLIC_LIVEKIT_WS_URL=wss://rtc.avaaz.ai +# LIVEKIT_WS_URL=ws://livekit:7880 +# LIVEKIT_API_KEY= +# LIVEKIT_API_SECRET= +# OPENAI_API_KEY= +# GOOGLE_API_KEY= diff --git a/app/backend/Dockerfile b/app/backend/Dockerfile new file mode 100644 index 0000000..ed94fb2 --- /dev/null +++ b/app/backend/Dockerfile @@ -0,0 +1,84 @@ +# +# BACKEND DOCKERFILE +# +# Multi-stage image for the FastAPI + LiveKit Agent backend using uv. +# - production: smallest runtime image with gunicorn/uvicorn worker +# - development: hot-reload friendly image with full toolchain +# - builder: installs dependencies once for reuse across stages +# +# Keep dependency definitions aligned with docs/architecture.md. + +FROM python:3.12-slim AS base + +ENV PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 \ + PIP_NO_CACHE_DIR=1 \ + PIP_DISABLE_PIP_VERSION_CHECK=1 \ + UV_PROJECT_ENVIRONMENT=/app/.venv \ + UV_LINK_MODE=copy + +RUN apt-get update \ + && apt-get install -y --no-install-recommends \ + build-essential \ + curl \ + libpq-dev \ + && rm -rf /var/lib/apt/lists/* + +RUN groupadd --system app && useradd --system --home /app --gid app app +WORKDIR /app + +# Install uv globally so subsequent stages share the toolchain. +RUN pip install --upgrade pip uv + +# ------------------------------------------------------------------------------ +# Builder: install prod dependencies into an in-project virtualenv +# ------------------------------------------------------------------------------ +FROM base AS builder + +COPY . . +RUN test -f pyproject.toml || (echo "pyproject.toml is required for uv sync"; exit 1) +RUN if [ -f uv.lock ]; then \ + uv sync --frozen --no-dev --compile-bytecode; \ + else \ + uv sync --no-dev --compile-bytecode; \ + fi + +# ------------------------------------------------------------------------------ +# Production: minimal runtime image with gunicorn as the entrypoint +# ------------------------------------------------------------------------------ +FROM python:3.12-slim AS production + +ENV PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 \ + PIP_NO_CACHE_DIR=1 + +RUN apt-get update \ + && apt-get install -y --no-install-recommends libpq5 \ + && rm -rf /var/lib/apt/lists/* + +RUN groupadd --system app && useradd --system --home /app --gid app app +WORKDIR /app + +COPY --from=builder --chown=app:app /app /app +ENV PATH="/app/.venv/bin:$PATH" + +USER app +EXPOSE 8000 +CMD ["gunicorn", "-w", "4", "-k", "uvicorn.workers.UvicornWorker", "main:app", "--bind", "0.0.0.0:8000"] + +# ------------------------------------------------------------------------------ +# Development: includes dev dependencies and keeps uvicorn reload-friendly +# ------------------------------------------------------------------------------ +FROM base AS development + +COPY . . +RUN test -f pyproject.toml || (echo "pyproject.toml is required for uv sync"; exit 1) +RUN if [ -f uv.lock ]; then \ + uv sync --frozen --dev --compile-bytecode; \ + else \ + uv sync --dev --compile-bytecode; \ + fi + +ENV PATH="/app/.venv/bin:$PATH" +USER app +EXPOSE 8000 diff --git a/app/backend/__init__.py b/app/backend/__init__.py new file mode 100644 index 0000000..189ff94 --- /dev/null +++ b/app/backend/__init__.py @@ -0,0 +1 @@ +"""Backend package for avaaz.ai.""" diff --git a/app/backend/api/__init__.py b/app/backend/api/__init__.py new file mode 100644 index 0000000..4bb7cdd --- /dev/null +++ b/app/backend/api/__init__.py @@ -0,0 +1 @@ +"""API package with versioned routers.""" diff --git a/app/backend/api/v1/__init__.py b/app/backend/api/v1/__init__.py new file mode 100644 index 0000000..b08cd20 --- /dev/null +++ b/app/backend/api/v1/__init__.py @@ -0,0 +1 @@ +"""API v1 package.""" diff --git a/app/backend/api/v1/router.py b/app/backend/api/v1/router.py new file mode 100644 index 0000000..9c700d5 --- /dev/null +++ b/app/backend/api/v1/router.py @@ -0,0 +1,8 @@ +"""Version 1 API router aggregator for features.""" + +from fastapi import APIRouter + +from features.auth.router import router as auth_router + +router = APIRouter() +router.include_router(auth_router) diff --git a/app/backend/core/__init__.py b/app/backend/core/__init__.py new file mode 100644 index 0000000..438deb3 --- /dev/null +++ b/app/backend/core/__init__.py @@ -0,0 +1 @@ +"""Core infrastructure (config, database, etc.).""" diff --git a/app/backend/core/config.py b/app/backend/core/config.py new file mode 100644 index 0000000..6cd3e6d --- /dev/null +++ b/app/backend/core/config.py @@ -0,0 +1,49 @@ +"""Environment configuration derived from environment variables.""" + +from functools import lru_cache +from pydantic import SecretStr # Import SecretStr for sensitive data +from pydantic_settings import BaseSettings, SettingsConfigDict + +class Settings(BaseSettings): + """ + Application settings class using Pydantic BaseSettings. + Settings are loaded from environment variables and have default values defined here. + """ + + service_name: str = "avaaz-backend" # A unique functional identifier for the microservice + environment: str = "development" # Defines the current deployment stage (e.g., 'development', 'staging', 'production') + + title: str = "Avaaz Language Tutoring API" + description: str = """ + # Avaaz Language Tutoring API + + This API powers the **avaaz.ai** mobile and web applications, providing the robust backend services for our AI-driven oral language skills tutor. The platform is specifically engineered to help students achieve oral proficiency using adaptive, conversational AI agents. + + ## Key Services Provided: + * **Conversational AI Engine:** Facilitates ultra-low-latency speech-to-speech interaction and provides instant corrective feedback (grammar, pronunciation, fluency). + * **Curriculum Management:** Delivers structured, CEFR aligned lessons and scenarios focused on real-life immigrant contexts (healthcare, workplace, school). + * **Assessment & Gamification:** Manages progress tracking, mock oral exam simulations, performance summaries, and motivational mechanics (streaks, badges). + * **Cross-Platform Sync:** Ensures seamless learning continuity and progress synchronization across all user devices. + """ + + version: str = "0.1.0" # The current semantic version of the API application + + # Use SecretStr to prevent accidental logging of credentials. + # Access the actual value using settings.database_url.get_secret_value() + database_url: SecretStr = SecretStr("postgresql+psycopg://postgres:postgres@postgres:5432/avaaz") + + model_config = SettingsConfigDict( + env_prefix="", # Load variables without a specific prefix (e.g., `DATABASE_URL` instead of `APP_DATABASE_URL`) + case_sensitive=False # Environment variable names are treated as case-insensitive during loading + ) + +@lru_cache(maxsize=1) +def get_settings() -> Settings: + """ + Return a cached singleton instance of the application settings. + + This function leverages functools.lru_cache to ensure that environment variables + are read only once during the application's lifecycle, improving performance + and ensuring consistency across requests. + """ + return Settings() diff --git a/app/backend/core/database.py b/app/backend/core/database.py new file mode 100644 index 0000000..b7d743a --- /dev/null +++ b/app/backend/core/database.py @@ -0,0 +1,14 @@ +"""Database connection placeholders.""" + +from contextlib import contextmanager +from typing import Iterator + + +@contextmanager +def get_db() -> Iterator[None]: + """ + Yield a database session placeholder. + + Replace with a real session (e.g., SQLAlchemy) when persistence is added. + """ + yield None diff --git a/app/backend/features/__init__.py b/app/backend/features/__init__.py new file mode 100644 index 0000000..a52876d --- /dev/null +++ b/app/backend/features/__init__.py @@ -0,0 +1 @@ +"""Domain feature modules.""" diff --git a/app/backend/features/auth/__init__.py b/app/backend/features/auth/__init__.py new file mode 100644 index 0000000..c50c3c0 --- /dev/null +++ b/app/backend/features/auth/__init__.py @@ -0,0 +1 @@ +"""Auth feature placeholder.""" diff --git a/app/backend/features/auth/adapters/__init__.py b/app/backend/features/auth/adapters/__init__.py new file mode 100644 index 0000000..685e753 --- /dev/null +++ b/app/backend/features/auth/adapters/__init__.py @@ -0,0 +1 @@ +"""Adapters for auth integrations.""" diff --git a/app/backend/features/auth/adapters/fastapi_users.py b/app/backend/features/auth/adapters/fastapi_users.py new file mode 100644 index 0000000..6081604 --- /dev/null +++ b/app/backend/features/auth/adapters/fastapi_users.py @@ -0,0 +1,3 @@ +"""Placeholder for FastAPI Users integration.""" + +# Add glue code for FastAPI Users when adopting that library. diff --git a/app/backend/features/auth/dependencies.py b/app/backend/features/auth/dependencies.py new file mode 100644 index 0000000..84c1ab9 --- /dev/null +++ b/app/backend/features/auth/dependencies.py @@ -0,0 +1,3 @@ +"""Authentication dependencies placeholder.""" + +# Add FastAPI dependencies (e.g., current_user) when auth is implemented. diff --git a/app/backend/features/auth/models.py b/app/backend/features/auth/models.py new file mode 100644 index 0000000..a6079ff --- /dev/null +++ b/app/backend/features/auth/models.py @@ -0,0 +1,3 @@ +"""Authentication models placeholder.""" + +# Add ORM models (e.g., SQLAlchemy) when auth is implemented. diff --git a/app/backend/features/auth/permissions.py b/app/backend/features/auth/permissions.py new file mode 100644 index 0000000..0b23062 --- /dev/null +++ b/app/backend/features/auth/permissions.py @@ -0,0 +1,3 @@ +"""Authentication permission placeholder.""" + +# Define scopes/roles when auth is implemented. diff --git a/app/backend/features/auth/router.py b/app/backend/features/auth/router.py new file mode 100644 index 0000000..e93f626 --- /dev/null +++ b/app/backend/features/auth/router.py @@ -0,0 +1,11 @@ +"""Authentication router placeholder.""" + +from fastapi import APIRouter + +router = APIRouter(prefix="/auth", tags=["auth"]) + + +@router.get("/noop", include_in_schema=False) +def auth_not_implemented() -> dict: + """Placeholder endpoint to keep router wired.""" + return {"status": "not_implemented"} diff --git a/app/backend/features/auth/schemas.py b/app/backend/features/auth/schemas.py new file mode 100644 index 0000000..2ccde11 --- /dev/null +++ b/app/backend/features/auth/schemas.py @@ -0,0 +1,3 @@ +"""Authentication schemas placeholder.""" + +# Add Pydantic models for auth requests/responses when implemented. diff --git a/app/backend/features/auth/service.py b/app/backend/features/auth/service.py new file mode 100644 index 0000000..bc77016 --- /dev/null +++ b/app/backend/features/auth/service.py @@ -0,0 +1,3 @@ +"""Authentication service placeholder.""" + +# Add token generation/verification logic here. diff --git a/app/backend/main.py b/app/backend/main.py new file mode 100644 index 0000000..3ee0e6b --- /dev/null +++ b/app/backend/main.py @@ -0,0 +1,56 @@ +""" +API Application Entrypoint and Router Wiring. + +This module initializes the core FastAPI application instance, loads +configuration, applies middleware, and wires up all defined API routers. +""" + +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware +from typing import List + +from api.v1.router import router as api_v1_router +from operations.health.router import router as health_router +from core.config import get_settings, Settings # Import Settings type for clarity + +def create_app(settings: Settings = get_settings()) -> FastAPI: + """ + Create and configure the FastAPI application instance. + + Args: + settings: Configuration object from core.config. Defaults to current settings. + + Returns: + A configured FastAPI application instance. + """ + app = FastAPI( + title=settings.title, + description=settings.description, + version=settings.version, + docs_url="/docs", + redoc_url=None, + openapi_url="/openapi.json", + ) + + # Define allowed origins dynamically based on local dev environment needs + # In a production setting, this list would typically be sourced from environment variables. + allowed_origins: List[str] = ["http://localhost:3000", "http://127.0.0.1:3000"] + + # Configure CORS middleware + # TODO: Tightly restrict origins in production deployment. + app.add_middleware( + CORSMiddleware, + allow_origins=allowed_origins, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], + ) + + # Include API routers + app.include_router(health_router) + app.include_router(api_v1_router, prefix="/api/v1") + + return app + +# Main entry point for services like Uvicorn (e.g., `uvicorn main:app --reload`) +app = create_app() diff --git a/app/backend/operations/__init__.py b/app/backend/operations/__init__.py new file mode 100644 index 0000000..7b20f0a --- /dev/null +++ b/app/backend/operations/__init__.py @@ -0,0 +1 @@ +"""Domain operation modules.""" diff --git a/app/backend/operations/health/__init__.py b/app/backend/operations/health/__init__.py new file mode 100644 index 0000000..ad8226d --- /dev/null +++ b/app/backend/operations/health/__init__.py @@ -0,0 +1 @@ +"""Health feature package.""" diff --git a/app/backend/operations/health/router.py b/app/backend/operations/health/router.py new file mode 100644 index 0000000..8fb8842 --- /dev/null +++ b/app/backend/operations/health/router.py @@ -0,0 +1,84 @@ +"""Health endpoints for FastAPI application health checks (Liveness, Readiness, Detailed Status).""" + +from fastapi import APIRouter, Depends, HTTPException +from fastapi.responses import PlainTextResponse + +# Dependencies for application configuration and schema definitions +from core.config import Settings, get_settings +from operations.health.schemas import HealthStatus, HealthStatusEnum +from operations.health.service import get_detailed_health, readiness_check + +# Initialize the API router for health endpoints, grouping them under the "/health" prefix +router = APIRouter(prefix="/health", tags=["health"]) + + +@router.get( + "/live", + summary="Liveness Probe", + response_class=PlainTextResponse, + status_code=200, +) +def liveness() -> str: + """ + **Liveness Probe:** Confirms the application process is running and responsive. + + This endpoint is used by automated systems (like Kubernetes) to determine if + the instance should be kept running or restarted. It must be extremely lightweight, + performing no deep checks on external dependencies. + + **Success Response:** HTTP 200 OK with "live" body. + **Failure Response:** The orchestrator will interpret a *TCP connection timeout* as a failure. + """ + # Simply returning a string confirms the Python process and FastAPI are functional. + return "live" + + +@router.get( + "/ready", + summary="Readiness Probe", + response_class=PlainTextResponse, + status_code=200, +) +async def readiness() -> str: + """ + **Readiness Probe:** Determines if the application can accept user traffic. + + This endpoint is used by load balancers or service meshes to decide whether + to route traffic to this specific instance. It performs deep checks + on all critical dependencies (e.g., database connection, external services). + + **Success Response:** HTTP 200 OK with "ready" body. + **Failure Response:** HTTP 503 Service Unavailable if any critical dependency fails. + """ + # Call the service layer function that runs all critical checks concurrently + ok = await readiness_check() + + if not ok: + # If any check fails, signal 'Service Unavailable' so traffic is diverted + raise HTTPException(status_code=503, detail="not ready") + + return "ready" + + +@router.get( + "", + summary="Detailed Health Status Page", + response_model=HealthStatus, +) +async def detailed_health(settings: Settings = Depends(get_settings)) -> HealthStatus: + """ + **Detailed Status Page:** Provides granular health information for human operators/monitoring tools. + + This endpoint runs all readiness checks and returns a structured JSON object + containing the status of each individual component. + The top-level HTTP status code reflects the overall application health (200 OK for 'pass', 503 for 'fail'). + """ + # Retrieve the comprehensive health status model + detailed_health = await get_detailed_health(settings) + + if detailed_health.status != HealthStatusEnum.passed: + # Align the HTTP status code with the overall health status for easy monitoring + raise HTTPException(status_code=503, detail="not ready") + + # Status code is 200 + return detailed_health diff --git a/app/backend/operations/health/schemas.py b/app/backend/operations/health/schemas.py new file mode 100644 index 0000000..40e6afd --- /dev/null +++ b/app/backend/operations/health/schemas.py @@ -0,0 +1,65 @@ +""" +Pydantic schemas for defining health check responses, following IETF standards. +""" + +from datetime import datetime +from enum import Enum + +# Import ConfigDict from pydantic to resolve the deprecation warning +from pydantic import BaseModel, Field, ConfigDict + +# Define acceptable statuses as an Enum for robust validation +class HealthStatusEnum(str, Enum): + """Enumeration for standard health check statuses.""" + passed = "pass" + warned = "warn" + failed = "fail" + +class ComponentCheck(BaseModel): + """ + Represents the status and metrics for a single internal component or dependency. + """ + # Use ConfigDict instead of the class Config approach + model_config = ConfigDict( + populate_by_name=True # Allows instantiation using either 'observed_value' or 'observedValue' + ) + + name: str = Field(description="The unique name of the component being checked (e.g., 'postgres', 'redis').") + status: HealthStatusEnum = Field(description="The status of the check: 'pass', 'warn', or 'fail'.") + time: datetime | None = Field(default=None, description="The time at which the check was performed in ISO 8601 format.") + output: str | None = Field(default=None, description="Additional details, error messages, or logs if the status is 'fail' or 'warn'.") + + # Python uses snake_case internally, JSON uses camelCase for the alias + observed_value: float | int | None = Field( + default=None, + alias="observedValue", + description="The value observed during the check (e.g., latency in ms)." + ) + # Python uses snake_case internally, JSON uses camelCase for the alias + observed_unit: str | None = Field( + default=None, + alias="observedUnit", + description="The unit of the observed value (e.g., 'ms', 'count', 'bytes')." + ) + +class HealthStatus(BaseModel): + """ + The overall system health response model, aggregating all individual component checks. + """ + # Use ConfigDict instead of the class Config approach + model_config = ConfigDict( + populate_by_name=True + ) + + status: HealthStatusEnum = Field(description="The aggregate status of the entire service: 'pass', 'warn', or 'fail'.") + version: str | None = Field(default=None, description="The application version (e.g., Git SHA or semantic version number).") + environment: str | None = Field(default=None, description="The deployment environment (e.g., 'production', 'staging').") + + # Python uses snake_case internally, JSON uses camelCase for the alias + service_name: str | None = Field( + default=None, + alias="serviceName", + description="The name of the service." + ) + description: str | None = Field(default=None, description="A brief description of the service.") + checks: dict[str, ComponentCheck] = Field(description="A dictionary mapping check keys (e.g., 'Database') to their detailed ComponentCheck results.") diff --git a/app/backend/operations/health/service.py b/app/backend/operations/health/service.py new file mode 100644 index 0000000..4c36589 --- /dev/null +++ b/app/backend/operations/health/service.py @@ -0,0 +1,129 @@ +import asyncio +from datetime import datetime, timezone +from typing import Callable, Coroutine, Any, List, Dict + +from core.config import Settings +# Assuming schemas now contains the Enum definition and uses it in the models +from operations.health.schemas import ComponentCheck, HealthStatus, HealthStatusEnum + +# Type alias for a function that returns an awaitable ComponentCheck. +HealthCheckFunc = Callable[[], Coroutine[Any, Any, ComponentCheck]] + +async def _run_check_with_timeout( + check_coroutine: Coroutine[Any, Any, None], + name: str, + timeout_ms: int +) -> ComponentCheck: + """ + A utility wrapper that executes a given async coroutine with a strict timeout constraint. + It standardizes the exception handling and timing calculation for health checks. + """ + start_time = datetime.now(timezone.utc) + # Convert milliseconds timeout to a float in seconds for asyncio + timeout_seconds = timeout_ms / 1000.0 + + try: + # Enforce the timeout using the modern asyncio.timeout context manager (Python 3.11+) + async with asyncio.timeout(timeout_seconds): + await check_coroutine + + # If execution reaches here, the check passed within the time limit. + duration = datetime.now(timezone.utc) - start_time + observed_value = int(duration.total_seconds() * 1000) # value stored in ms + + return ComponentCheck( + name=name, + # Use the Enum value for status + status=HealthStatusEnum.passed, + time=datetime.now(timezone.utc), + observedValue=observed_value, + observedUnit="ms", + ) + + except asyncio.TimeoutError: + # The operation specifically took too long and the timeout context manager raised an exception. + return ComponentCheck( + name=name, + # Use the Enum value for status + status=HealthStatusEnum.failed, + time=datetime.now(timezone.utc), + output=f"Check timed out after {timeout_seconds:.2f}s", + ) + except Exception as e: + # Catch any other general exceptions (e.g., connection refused, network down) + return ComponentCheck( + name=name, + # Use the Enum value for status + status=HealthStatusEnum.failed, + time=datetime.now(timezone.utc), + output=f"An error occurred: {str(e)}", + ) + +async def check_database_status() -> ComponentCheck: + """ + Initiates the check for the primary database connection. + Calls the generic wrapper with specific logic and timeout for Postgres. + """ + async def db_logic(): + # IMPORTANT: Replace this sleep simulation with the actual async DB client call (e.g., await database.ping()) + await asyncio.sleep(0.045) + + return await _run_check_with_timeout(db_logic(), name="postgres", timeout_ms=50) + +async def check_media_server_status() -> ComponentCheck: + """ + Initiates the check for the media server connection. + Calls the generic wrapper with specific logic and timeout for LiveKit/Media Server. + """ + async def media_logic(): + # IMPORTANT: Replace this sleep simulation with the actual network I/O call (e.g., await http_client.get('...')) + await asyncio.sleep(0.02) + + return await _run_check_with_timeout(media_logic(), name="livekit", timeout_ms=50) + +# This dictionary serves as the single source of truth for all critical health checks. +CRITICAL_CHECKS: Dict[str, HealthCheckFunc] = { + "Database": check_database_status, + "Media Server": check_media_server_status +} + +async def readiness_check() -> bool: + """ + Performs a readiness probe. The service is considered "ready" only if *all* critical checks pass. + """ + tasks = [check_func() for check_func in CRITICAL_CHECKS.values()] + results: List[ComponentCheck] = await asyncio.gather(*tasks) + + # Check if every result status is equal to the HealthStatusEnum.passed value ('pass') + return all(result.status == HealthStatusEnum.passed for result in results) + +async def get_detailed_health(settings: Settings) -> HealthStatus: + """ + Builds a detailed health payload that conforms to the health+json specification. + Aggregates results from all CRITICAL_CHECKS and includes system metadata. + """ + + tasks = [check_func() for check_func in CRITICAL_CHECKS.values()] + results: List[ComponentCheck] = await asyncio.gather(*tasks) + + # Initialize overall status using the Enum value + overall = HealthStatusEnum.passed + checks = {} + + # Iterate through results, mapping them back to their original dictionary keys + for key, result in zip(CRITICAL_CHECKS.keys(), results): + checks[key] = result + # Compare status against the Enum value + if result.status != HealthStatusEnum.passed: + # If any individual check fails, the overall system status must be 'fail' + overall = HealthStatusEnum.failed + + # Assemble the final, comprehensive health report object using provided settings + return HealthStatus( + status=overall, + version=settings.version, + environment=settings.environment, + serviceName=settings.service_name, + description=settings.title, + checks=checks, + ) diff --git a/app/backend/pyproject.toml b/app/backend/pyproject.toml new file mode 100644 index 0000000..7ca3002 --- /dev/null +++ b/app/backend/pyproject.toml @@ -0,0 +1,42 @@ +[project] +name = "avaaz-backend" +version = "0.1.0" +description = "FastAPI backend for avaaz.ai with health check." +authors = [{ name = "avaaz.ai" }] +requires-python = ">=3.12" +dependencies = [ + "fastapi>=0.115.4,<0.116", + "uvicorn[standard]>=0.30.6,<0.31", + "pydantic-settings>=2.6.1,<3", + "gunicorn>=22.0,<23", +] + +[project.optional-dependencies] +dev = [ + "pytest>=8.3,<9", + "pytest-cov>=5.0,<6", + "hypothesis>=6.112,<7", + "httpx>=0.27,<0.28", +] + +[dependency-groups] +dev = [ + "pytest>=8.3,<9", + "pytest-cov>=5.0,<6", + "hypothesis>=6.112,<7", + "httpx>=0.27,<0.28", +] + +[tool.pytest.ini_options] +addopts = "-ra" +testpaths = ["tests"] + +[tool.setuptools] +py-modules = ["main"] + +[tool.setuptools.packages.find] +include = ["api*", "core*", "features*", "operations*"] + +[build-system] +requires = ["setuptools>=68", "wheel"] +build-backend = "setuptools.build_meta" diff --git a/app/backend/tests/__init__.py b/app/backend/tests/__init__.py new file mode 100644 index 0000000..4b25b9c --- /dev/null +++ b/app/backend/tests/__init__.py @@ -0,0 +1 @@ +"""Test suite for backend.""" diff --git a/app/backend/tests/test_health.py b/app/backend/tests/test_health.py new file mode 100644 index 0000000..c73712b --- /dev/null +++ b/app/backend/tests/test_health.py @@ -0,0 +1,86 @@ +from fastapi.testclient import TestClient +from hypothesis import given, settings +from hypothesis import strategies as st + +# Import the main FastAPI application instance from your source code +from main import app + +# Initialize the TestClient to make requests against your FastAPI app instance +client = TestClient(app) + +def test_liveness_ok(): + """ + Test the basic liveness endpoint. + A liveness probe checks if the container is running and responsive. + It should always return a 200 OK status and the text 'live'. + """ + response = client.get("/health/live") + assert response.status_code == 200 + assert response.text == "live" + +@given(st.text(min_size=0, max_size=16)) +@settings(max_examples=10) +def test_liveness_resilience_to_query_noise(noise: str): + """ + Use Hypothesis for property-based testing. + This test ensures that the liveness endpoint is robust and remains functional + even when unexpected or garbage query parameters ("noise") are provided in the URL. + The `given` decorator generates various string inputs for the 'noise' parameter. + """ + # Pass arbitrary query parameters to the endpoint + response = client.get("/health/live", params={"noise": noise}) + assert response.status_code == 200 + assert response.text == "live" + +def test_readiness_ok(): + """ + Test the basic readiness endpoint. + A readiness probe checks if the container is ready to accept traffic (e.g., database connection established). + It should return a 200 OK status and the text 'ready' when healthy. + """ + response = client.get("/health/ready") + assert response.status_code == 200 + assert response.text == "ready" + +@given(st.text(min_size=0, max_size=16)) +@settings(max_examples=10) +def test_readiness_resilience_to_query_noise(noise: str): + """ + Use Hypothesis for property-based testing. + This test ensures that the readiness endpoint is robust and remains functional + even when unexpected or garbage query parameters ("noise") are provided in the URL. + The `given` decorator generates various string inputs for the 'noise' parameter. + """ + # Pass arbitrary query parameters to the endpoint + response = client.get("/health/ready", params={"noise": noise}) + assert response.status_code == 200 + assert response.text == "ready" + +def test_detailed_health_pass(): + """ + Test the detailed health check endpoint, often conforming to the + [IETF health check standard](datatracker.ietf.org). + It should return a 200 OK status, and the JSON body should have a + "status" of "pass" and a dictionary of individual "checks". + """ + response = client.get("/health") + assert response.status_code == 200 + body = response.json() + assert body["status"] == "pass" + assert isinstance(body["checks"], dict) + +@given(st.text(min_size=0, max_size=16)) +@settings(max_examples=10) +def test_health_resilience_to_query_noise(noise: str): + """ + Use Hypothesis for property-based testing. + This test ensures that the health endpoint is robust and remains functional + even when unexpected or garbage query parameters ("noise") are provided in the URL. + The `given` decorator generates various string inputs for the 'noise' parameter. + """ + # Pass arbitrary query parameters to the endpoint + response = client.get("/health", params={"noise": noise}) + assert response.status_code == 200 + body = response.json() + assert body["status"] == "pass" + assert isinstance(body["checks"], dict) diff --git a/app/backend/uv.lock b/app/backend/uv.lock new file mode 100644 index 0000000..a3652e4 --- /dev/null +++ b/app/backend/uv.lock @@ -0,0 +1,720 @@ +version = 1 +revision = 3 +requires-python = ">=3.12" + +[[package]] +name = "annotated-types" +version = "0.7.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, 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+x-service-defaults: &service-defaults + env_file: .env + restart: ${DOCKER_RESTART_POLICY:-unless-stopped} + networks: + - app + logging: + driver: "json-file" + options: + max-size: "10m" + max-file: "3" + +x-backend-common: &backend-common + <<: *service-defaults + depends_on: + postgres: + condition: service_healthy + +services: + # -------------------------------------------------------------------------- + # Next.js Frontend + # -------------------------------------------------------------------------- + frontend: + <<: *service-defaults + profiles: [prod] + container_name: frontend + build: + context: ./frontend + dockerfile: Dockerfile + target: runner + environment: + NODE_ENV: production + NEXT_TELEMETRY_DISABLED: 1 + PORT: 3000 + expose: + - "3000" + depends_on: + backend: + condition: service_healthy + healthcheck: + test: + [ + "CMD-SHELL", + "node -e \"require('http').get('http://127.0.0.1:3000', (res) => { process.exit(res.statusCode < 500 ? 0 : 1); }).on('error', () => process.exit(1));\"", + ] + interval: 30s + timeout: 5s + retries: 5 + start_period: 10s + networks: + - app + - proxy + # Caddy from the infra stack reverse-proxies to this container on the proxy network. + + frontend-dev: + <<: *service-defaults + profiles: [dev] + container_name: frontend-dev + build: + context: ./frontend + dockerfile: Dockerfile + target: dev + command: ["npm", "run", "dev", "--", "--hostname", "0.0.0.0", "--port", "3000"] + environment: + NODE_ENV: development + NEXT_TELEMETRY_DISABLED: 1 + ports: + - "3000:3000" # Localhost access during development + volumes: + - ./frontend:/app + - frontend-node_modules:/app/node_modules + depends_on: + backend-dev: + condition: service_healthy + networks: + app: + aliases: + - frontend + + # -------------------------------------------------------------------------- + # FastAPI Backend + # -------------------------------------------------------------------------- + backend: + <<: *backend-common + profiles: [prod] + container_name: backend + build: + context: ./backend + dockerfile: Dockerfile + target: production + environment: + ENVIRONMENT: production + command: + [ + "gunicorn", + "main:app", + "-k", + "uvicorn.workers.UvicornWorker", + "-w", + "${GUNICORN_WORKERS:-4}", + "--bind", + "0.0.0.0:8000", + "--access-logfile", + "-", + "--error-logfile", + "-", + "--timeout", + "${GUNICORN_TIMEOUT:-120}", + ] + expose: + - "8000" + healthcheck: + test: + [ + "CMD-SHELL", + "python -c \"import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/health/live').close()\"", + ] + interval: 30s + timeout: 5s + retries: 5 + start_period: 10s + networks: + - app + - proxy + + backend-dev: + <<: *backend-common + profiles: [dev] + container_name: backend-dev + build: + context: ./backend + dockerfile: Dockerfile + target: development + environment: + ENVIRONMENT: development + PYTHONPATH: /app + command: ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"] + ports: + - "8000:8000" # Localhost access during development + volumes: + - ./backend:/app + - backend-venv:/app/.venv + healthcheck: + test: + [ + "CMD-SHELL", + "python -c \"import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/health/live').close()\"", + ] + interval: 15s + timeout: 5s + retries: 5 + start_period: 10s + networks: + app: + aliases: + - backend + + # -------------------------------------------------------------------------- + # PostgreSQL + pgvector + # -------------------------------------------------------------------------- + postgres: + <<: *service-defaults + container_name: postgres + image: pgvector/pgvector:pg16 + profiles: + - dev + - prod + volumes: + - postgres-data:/var/lib/postgresql/data + ports: + - "127.0.0.1:${POSTGRES_PORT:-5432}:5432" # Local-only binding keeps DB off the public interface + healthcheck: + test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-postgres} -d ${POSTGRES_DB:-postgres}"] + interval: 10s + timeout: 5s + retries: 5 + + # -------------------------------------------------------------------------- + # LiveKit Real-Time Server + # -------------------------------------------------------------------------- + livekit: + <<: *service-defaults + container_name: livekit + image: livekit/livekit-server:latest + profiles: + - dev + - prod + # UDP/TCP ports remain published in prod so external clients can complete WebRTC/TURN; + # Caddy still proxies signaling over the shared proxy network. + environment: + LIVEKIT_KEYS: "${LIVEKIT_API_KEY}:${LIVEKIT_API_SECRET}" + LIVEKIT_PORT: 7880 + LIVEKIT_LOG_LEVEL: ${LIVEKIT_LOG_LEVEL:-info} + command: + [ + "livekit-server", + "--dev", + "--port", + "7880", + "--rtc.port-range-start", + "${LIVEKIT_RTC_PORT_RANGE_START:-60000}", + "--rtc.port-range-end", + "${LIVEKIT_RTC_PORT_RANGE_END:-60100}", + ] + ports: + - "7880:7880" # HTTP/WS signaling (Caddy terminates TLS) + - "7881:7881" # TCP fallback for WebRTC + - "3478:3478/udp" # TURN + - "5349:5349/tcp" # TURN over TLS + - "${LIVEKIT_RTC_PORT_RANGE_START:-60000}-${LIVEKIT_RTC_PORT_RANGE_END:-60100}:${LIVEKIT_RTC_PORT_RANGE_START:-60000}-${LIVEKIT_RTC_PORT_RANGE_END:-60100}/udp" # WebRTC media plane + networks: + - app + - proxy + +volumes: + postgres-data: + backend-venv: + frontend-node_modules: + +networks: + app: + name: app_network + proxy: + name: proxy + # In prod, set PROXY_NETWORK_EXTERNAL=true so this attaches to the shared + # Caddy network created by infra. In dev, leave false to let Compose create + # a local network automatically. + external: ${PROXY_NETWORK_EXTERNAL:-false} diff --git a/app/frontend/Dockerfile b/app/frontend/Dockerfile new file mode 100644 index 0000000..df6a594 --- /dev/null +++ b/app/frontend/Dockerfile @@ -0,0 +1,75 @@ +# +# FRONTEND DOCKERFILE +# +# Multi-stage image for the Next.js SPA/SSR frontend. +# - runner: production server with minimal footprint +# - builder: compiles the Next.js app +# - dev: hot-reload friendly image +# +# COMPOSE_PROFILES decides which stage is used by docker-compose.yml. +# + +FROM node:22-slim AS base +WORKDIR /app + +ENV NPM_CONFIG_LOGLEVEL=warn \ + NODE_OPTIONS="--enable-source-maps" \ + NEXT_TELEMETRY_DISABLED=1 + +# ------------------------------------------------------------------------------ +# Dependencies cache +# ------------------------------------------------------------------------------ +FROM base AS deps +COPY package*.json ./ +RUN if [ -f package-lock.json ]; then npm ci; else npm install; fi \ + && chown -R node:node /app + +# ------------------------------------------------------------------------------ +# Production dependencies only (pruned to omit dev tooling) +# ------------------------------------------------------------------------------ +FROM base AS prod-deps +COPY package*.json ./ +RUN if [ -f package-lock.json ]; then npm ci --omit=dev; else npm install --omit=dev; fi + +# ------------------------------------------------------------------------------ +# Builder: compile the application for production +# ------------------------------------------------------------------------------ +FROM base AS builder + +COPY --from=deps /app/node_modules ./node_modules +COPY . . +ENV NODE_ENV=production +ENV NEXT_TELEMETRY_DISABLED=1 +RUN npm run build + +# ------------------------------------------------------------------------------ +# Production runner: serve the built Next.js app +# ------------------------------------------------------------------------------ +FROM node:22-slim AS runner +WORKDIR /app + +ENV NODE_ENV=production \ + NEXT_TELEMETRY_DISABLED=1 + +USER node +COPY --from=prod-deps --chown=node:node /app/node_modules ./node_modules +COPY --from=builder --chown=node:node /app/.next ./.next +COPY --from=builder --chown=node:node /app/public ./public +COPY --from=builder --chown=node:node /app/package.json ./package.json +COPY --from=builder --chown=node:node /app/package-lock.json ./package-lock.json + +EXPOSE 3000 +CMD ["npm", "run", "start"] + +# ------------------------------------------------------------------------------ +# Development: keeps node_modules and sources mounted for hot reload +# ------------------------------------------------------------------------------ +FROM deps AS dev +WORKDIR /app + +ENV NODE_ENV=development \ + NEXT_TELEMETRY_DISABLED=1 + +USER node +EXPOSE 3000 +CMD ["npm", "run", "dev", "--", "--hostname", "0.0.0.0", "--port", "3000"] diff --git a/app/frontend/app/globals.css b/app/frontend/app/globals.css new file mode 100644 index 0000000..03a45b9 --- /dev/null +++ b/app/frontend/app/globals.css @@ -0,0 +1,35 @@ +@import "tailwindcss"; + +@source "./app/**/*.{js,ts,jsx,tsx,mdx}"; +@source "./components/**/*.{js,ts,jsx,tsx,mdx}"; + +@theme { + --color-ink: #0f172a; + --color-inkSoft: #1e293b; + --color-inkMuted: #64748b; + --color-sand: #f7f7fb; + --color-card: #ffffff; + --color-success: #22c55e; + --color-danger: #ef4444; + --color-pulse: #f59e0b; + --color-accent-blue: #60a5fa; + --color-accent-mint: #34d399; + --color-accent-coral: #fb7185; + --font-sans: "Plus Jakarta Sans", "Inter", system-ui, -apple-system, "Segoe UI", + sans-serif; + --font-display: "Plus Jakarta Sans", "Inter", system-ui, -apple-system, "Segoe UI", + sans-serif; +} + +:root { + color-scheme: light; + background-color: #f7f7fb; +} + +body { + @apply min-h-screen bg-gradient-to-br from-[#f9fafb] via-[#f2f4f6] to-[#e7eaee] text-ink antialiased; +} + +* { + @apply selection:bg-blue-200 selection:text-ink; +} diff --git a/app/frontend/app/layout.tsx b/app/frontend/app/layout.tsx new file mode 100644 index 0000000..f67fcb7 --- /dev/null +++ b/app/frontend/app/layout.tsx @@ -0,0 +1,20 @@ +import "./globals.css"; +import type { Metadata } from "next"; +import type { ReactNode } from "react"; + +export const metadata: Metadata = { + title: "avaaz.ai | Live Health Console", + description: "Live ECG-style monitoring for avaaz.ai health endpoints.", + icons: { + icon: [{ url: "/favicon.png", type: "image/png" }], + shortcut: ["/favicon.png"], + }, +}; + +export default function RootLayout({ children }: { children: ReactNode }) { + return ( + + {children} + + ); +} diff --git a/app/frontend/app/page.tsx b/app/frontend/app/page.tsx new file mode 100644 index 0000000..2028d9c --- /dev/null +++ b/app/frontend/app/page.tsx @@ -0,0 +1,596 @@ +"use client"; + +import Image from "next/image"; +import { + useCallback, + useEffect, + useMemo, + useRef, + useState, +} from "react"; +import { ECGMonitorCard } from "@/components/ECGMonitorCard"; +import type { PollState } from "@/types/monitor"; + +interface HealthSummary { + status: string; + version?: string; + serviceId?: string; + description?: string; + checks?: + | Record + | { + name?: string; + key?: string; + check?: string; + status: string; + output?: string; + details?: string; + }[]; +} + +const POLL_INTERVALS = { + live: 10_000, + ready: 30_000, + health: 60_000, +} as const; + +const WAVE_SAMPLES = 140; +const WAVE_WIDTH = 360; +const BASELINE = 68; +const MIN_Y = 20; +const MAX_Y = 110; +const NOISE = 1.4; + +function formatTime(timestamp: string | null) { + if (!timestamp) return "Pending"; + return new Date(timestamp).toLocaleTimeString([], { + hour: "2-digit", + minute: "2-digit", + second: "2-digit", + }); +} + +function useNowString() { + const [now, setNow] = useState(""); + + useEffect(() => { + const tick = () => + setNow( + new Date().toLocaleTimeString([], { + hour: "2-digit", + minute: "2-digit", + second: "2-digit", + }) + ); + + tick(); + const id = setInterval(tick, 1_000); + return () => clearInterval(id); + }, []); + + return now; +} + +function hasStatusField(value: unknown): value is { status?: unknown } { + return typeof value === "object" && value !== null && "status" in value; +} + +function isStatusHealthy(value: unknown): boolean { + if (!value) return false; + if (typeof value === "string") { + return ["ok", "pass", "healthy", "up", "ready", "live"].includes( + value.toLowerCase() + ); + } + if (hasStatusField(value) && typeof value.status === "string") { + return ["ok", "pass", "healthy", "up", "ready", "live"].includes( + value.status.toLowerCase() + ); + } + return false; +} + +/** + * Drives the shared ECG waveform: keeps the line scrolling and injects pulse spikes + * whenever a poll occurs so the right edge always shows the freshest activity. + */ +function useWaveform() { + const [wave, setWave] = useState(() => + Array.from({ length: WAVE_SAMPLES }, () => BASELINE) + ); + const queueRef = useRef([]); + const tickRef = useRef(0); + + // Queue sharp spikes that get blended into the scrolling ECG line. + const triggerPulse = useCallback((strength = 18) => { + queueRef.current.push( + BASELINE - 6, + BASELINE + strength, + BASELINE - 10, + BASELINE + strength * 0.6 + ); + }, []); + + useEffect(() => { + const id = setInterval(() => { + setWave((prev) => { + const queue = queueRef.current; + const drift = + Math.sin(tickRef.current / 6) * NOISE + + Math.cos(tickRef.current / 9) * (NOISE / 1.6); + tickRef.current += 1; + const nextVal = queue.length + ? queue.shift() ?? BASELINE + : BASELINE + drift; + const clamped = Math.max(MIN_Y, Math.min(MAX_Y, nextVal)); + const next = prev.slice(1); + next.push(clamped); + return next; + }); + }, 110); + return () => clearInterval(id); + }, []); + + const wavePoints = useMemo( + () => + wave + .map((value, idx) => { + const x = (idx / (wave.length - 1)) * WAVE_WIDTH; + return `${x.toFixed(1)},${value.toFixed(1)}`; + }) + .join(" "), + [wave] + ); + + return { wavePoints, waveHeight: wave[wave.length - 1], triggerPulse }; +} + +/** + * Polls an endpoint on a cadence, parsing the response and surfacing status metadata. + */ +function usePoller(opts: { + baseUrl: string; + path: string; + intervalMs: number; + parser: (res: Response) => Promise; + onPoll?: () => void; +}): { state: PollState; pollNow: () => Promise } { + const { baseUrl, path, intervalMs, parser, onPoll } = opts; + const [state, setState] = useState>({ + data: null, + error: null, + loading: false, + lastUpdated: null, + attemptedUrl: `${baseUrl}${path}`, + }); + + const poll = useCallback(async () => { + const url = `${baseUrl}${path}`; + onPoll?.(); + setState((prev) => ({ + ...prev, + loading: true, + attemptedUrl: url, + })); + + try { + const res = await fetch(url, { cache: "no-store" }); + if (!res.ok) throw new Error(`${path} responded with ${res.status}`); + const parsed = await parser(res); + setState((prev) => ({ + ...prev, + data: parsed, + error: null, + lastUpdated: new Date().toISOString(), + loading: false, + })); + } catch (error) { + const message = error instanceof Error ? error.message : "Unknown error"; + setState((prev) => ({ + ...prev, + data: null, + error: message, + lastUpdated: new Date().toISOString(), + loading: false, + })); + } + }, [baseUrl, path, parser, onPoll]); + + useEffect(() => { + void poll(); + const id = setInterval(() => void poll(), intervalMs); + return () => clearInterval(id); + }, [poll, intervalMs]); + + return { state, pollNow: poll }; +} + +export default function Home() { + const apiBase = useMemo( + () => process.env.NEXT_PUBLIC_API_URL ?? "http://localhost:8000", + [] + ); + const now = useNowString(); + const unifiedWave = useWaveform(); + const liveWave = useWaveform(); + const readyWave = useWaveform(); + const healthWave = useWaveform(); + + const parseHealth = useCallback(async (res: Response) => { + return (await res.json()) as HealthSummary; + }, []); + const parseText = useCallback(async (res: Response) => res.text(), []); + + const pulseHealth = useCallback(() => { + unifiedWave.triggerPulse(22); + healthWave.triggerPulse(22); + }, [unifiedWave.triggerPulse, healthWave.triggerPulse]); + const pulseReady = useCallback(() => { + unifiedWave.triggerPulse(16); + readyWave.triggerPulse(16); + }, [unifiedWave.triggerPulse, readyWave.triggerPulse]); + const pulseLive = useCallback(() => { + unifiedWave.triggerPulse(12); + liveWave.triggerPulse(12); + }, [unifiedWave.triggerPulse, liveWave.triggerPulse]); + + const { state: healthState, pollNow: pollHealth } = usePoller({ + baseUrl: apiBase, + path: "/health", + intervalMs: POLL_INTERVALS.health, + parser: parseHealth, + onPoll: pulseHealth, + }); + + const { state: readyState, pollNow: pollReady } = usePoller({ + baseUrl: apiBase, + path: "/health/ready", + intervalMs: POLL_INTERVALS.ready, + parser: parseText, + onPoll: pulseReady, + }); + + const { state: liveState, pollNow: pollLive } = usePoller({ + baseUrl: apiBase, + path: "/health/live", + intervalMs: POLL_INTERVALS.live, + parser: parseText, + onPoll: pulseLive, + }); + + const healthOk = isStatusHealthy(healthState.data?.status) && !healthState.error; + const readyOk = isStatusHealthy(readyState.data) && !readyState.error; + const liveOk = isStatusHealthy(liveState.data) && !liveState.error; + const overallOk = healthOk && readyOk && liveOk; + + const checks = useMemo(() => { + const source = healthState.data?.checks; + if (!source) return []; + if (Array.isArray(source)) { + return source.map((item, idx) => ({ + label: item.name ?? item.key ?? item.check ?? `Check ${idx + 1}`, + status: item.status ?? "unknown", + output: item.output ?? item.details ?? "", + })); + } + return Object.entries(source).map(([label, val]) => ({ + label, + status: (val as { status?: string }).status ?? "unknown", + output: + (val as { output?: string; details?: string }).output ?? + (val as { details?: string }).details ?? + "", + })); + }, [healthState.data?.checks]); + + const overallLabel = overallOk + ? "All probes healthy" + : "Attention needed"; + const overallLoading = + healthState.loading || readyState.loading || liveState.loading; + const overallStrokeColor = overallLoading + ? "var(--color-pulse)" + : overallOk + ? "var(--color-success)" + : "var(--color-danger)"; + + return ( +
+
+
+ +
+
+
+
+ avaaz.ai logo +
+
+

avaaz.ai

+

+ Unified ECG monitoring for live, ready, and health probes. +

+
+
+
+ + + {overallLabel} + + + Live clock + {now || "— — : — —"} + +
+
+ +
+
+

+ Live dashboard +

+

+ ECG-style observability for avaaz.ai +

+

+ A continuous, scrolling signal shows every poll with sharp blips + whenever a probe fires. Color shifts between healthy (green), + unhealthy (red), and active polling (amber). +

+
+
+ /health/live + + {liveOk ? "Live" : "Down"} · 10s cadence + +
+
+ /health/ready + + {readyOk ? "Ready" : "Not ready"} · 30s cadence + +
+
+ /health + + {healthOk ? "Healthy" : "Degraded"} · 60s cadence + +
+
+
+ +
+
+
+ + Unified ECG strip + + + + Healthy + + Unhealthy + + Polling + +
+
+ + + + +
+
+
+

+ Last health update +

+

+ {formatTime(healthState.lastUpdated)} +

+
+
+

+ Next pulse cadence +

+

+ 10s / 30s / 60s +

+
+
+
+
+ +
+ +
+

+ Signal +

+

+ {liveState.data ?? liveState.error ?? "No response yet"} +

+
+ + + +
+

+ Response +

+

+ {readyState.data ?? readyState.error ?? "No response yet"} +

+
+ + + +
+ {healthState.data?.version && ( +
+

+ Version +

+

{healthState.data.version}

+
+ )} + {healthState.data?.serviceId && ( +
+

+ Service +

+

+ {healthState.data.serviceId} +

+
+ )} + {healthState.data?.description && ( +
+

+ Notes +

+

{healthState.data.description}

+
+ )} +
+
+

+ Checks +

+ {checks.length > 0 ? ( +
+ {checks.map((check) => ( +
+
+ {check.label} + +
+

{check.status}

+ {check.output && ( +

{check.output}

+ )} +
+ ))} +
+ ) : ( +

Awaiting check details.

+ )} +
+ +
+
+
+ ); +} diff --git a/app/frontend/components/ECGMonitorCard.tsx b/app/frontend/components/ECGMonitorCard.tsx new file mode 100644 index 0000000..4cb8cf0 --- /dev/null +++ b/app/frontend/components/ECGMonitorCard.tsx @@ -0,0 +1,162 @@ +import type { ReactNode } from "react"; +import type { PollState } from "@/types/monitor"; + +type Tone = "mint" | "blue" | "coral"; + +const toneStyles: Record = { + mint: "from-white via-white to-emerald-50 ring-emerald-100", + blue: "from-white via-white to-sky-50 ring-sky-100", + coral: "from-white via-white to-rose-50 ring-rose-100", +}; + +interface ECGMonitorCardProps { + title: string; + endpoint: string; + intervalLabel: string; + tone?: Tone; + now: string; + wavePoints: string; + waveHeight: number; + healthy: boolean; + loading: boolean; + statusLabel: string; + statusDetail: string; + lastUpdatedLabel: string; + state: PollState; + children?: ReactNode; + onManualTrigger: () => void; +} + +/** + * Presentational card that renders endpoint status and the shared ECG waveform with + * consistent tone, status badges, and contextual metadata. + */ +export function ECGMonitorCard({ + title, + endpoint, + intervalLabel, + tone = "mint", + now, + wavePoints, + waveHeight, + healthy, + loading, + statusLabel, + statusDetail, + lastUpdatedLabel, + state, + children, + onManualTrigger, +}: ECGMonitorCardProps) { + const signalId = `${endpoint.replace(/[^a-z0-9]/gi, "-")}-stroke`; + + const badgeColor = loading + ? "border-amber-200 bg-amber-50 text-amber-800" + : healthy + ? "border-emerald-200 bg-emerald-50 text-emerald-800" + : "border-rose-200 bg-rose-50 text-rose-800"; + + const dotColor = loading ? "bg-pulse" : healthy ? "bg-success" : "bg-danger"; + const strokeColor = loading ? "#f59e0b" : healthy ? "#22c55e" : "#ef4444"; + + return ( +
+
+
+
+
+ {endpoint} + +
+

{title}

+

every {intervalLabel}

+
+
+
+ + + {statusLabel} + + +
+ + {now} + +
+
+ +
+
+

+ Last updated +

+

{lastUpdatedLabel}

+
+ +
+
+
+
+
+ ECG signal + + + {loading ? "Polling" : healthy ? "Healthy" : "Unhealthy"} + +
+ + + + + + + + + + + +
+ +
+
+

Status

+

{statusDetail}

+
+
+

Endpoint

+

{state.attemptedUrl}

+
+
+ + {children} +
+
+ ); +} diff --git a/app/frontend/eslint.config.mjs b/app/frontend/eslint.config.mjs new file mode 100644 index 0000000..3b254ee --- /dev/null +++ b/app/frontend/eslint.config.mjs @@ -0,0 +1,44 @@ +import nextPlugin from "@next/eslint-plugin-next"; +import globals from "globals"; +import tseslint from "typescript-eslint"; + +export default tseslint.config( + { + ignores: [ + "**/.next/**", + "node_modules/**", + "dist/**", + "tailwind.config.js", + "postcss.config.mjs", + ], + }, + { + files: ["**/*.{js,jsx,ts,tsx}"], + extends: [ + ...tseslint.configs.recommendedTypeChecked, + ...tseslint.configs.stylisticTypeChecked, + nextPlugin.configs.recommended, + nextPlugin.configs["core-web-vitals"], + ], + languageOptions: { + parserOptions: { + project: "./tsconfig.json", + }, + globals: { + ...globals.browser, + ...globals.node, + }, + }, + rules: { + "@typescript-eslint/consistent-type-imports": [ + "error", + { prefer: "type-imports", fixStyle: "separate-type-imports" }, + ], + "@typescript-eslint/no-misused-promises": [ + "error", + { checksVoidReturn: false }, + ], + "@typescript-eslint/no-floating-promises": "error", + }, + } +); diff --git a/app/frontend/next.config.mjs b/app/frontend/next.config.mjs new file mode 100644 index 0000000..d5456a1 --- /dev/null +++ b/app/frontend/next.config.mjs @@ -0,0 +1,6 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + reactStrictMode: true, +}; + +export default nextConfig; diff --git a/app/frontend/package-lock.json b/app/frontend/package-lock.json new file mode 100644 index 0000000..be4e74e --- /dev/null +++ b/app/frontend/package-lock.json @@ -0,0 +1,6600 @@ +{ + "name": "avaaz-frontend", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "avaaz-frontend", + "version": "0.1.0", + "dependencies": { + "@tailwindcss/postcss": "^4.1.17", + "next": "^16.0.5", + "react": "^19.2.0", + "react-dom": "^19.2.0" + }, + "devDependencies": { + "@types/node": 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"^3.25.0 || ^4.0.0" + } + } + } +} diff --git a/app/frontend/package.json b/app/frontend/package.json new file mode 100644 index 0000000..40d96fc --- /dev/null +++ b/app/frontend/package.json @@ -0,0 +1,31 @@ +{ + "name": "avaaz-frontend", + "version": "0.1.0", + "private": true, + "scripts": { + "dev": "next dev", + "build": "next build --webpack", + "start": "next start", + "lint": "eslint ." + }, + "type": "module", + "dependencies": { + "@tailwindcss/postcss": "^4.1.17", + "next": "^16.0.5", + "react": "^19.2.0", + "react-dom": "^19.2.0" + }, + "devDependencies": { + "@types/node": "^24.10.1", + "@types/react": "^19.2.7", + "@types/react-dom": "^19.2.3", + "autoprefixer": "^10.4.20", + "eslint": "^9.39.1", + "eslint-config-next": "^16.0.5", + "globals": "^16.5.0", + "postcss": "^8.4.49", + "tailwindcss": "^4.1.17", + "typescript": "^5.9.3", + "typescript-eslint": "^8.48.0" + } +} diff --git a/app/frontend/postcss.config.mjs b/app/frontend/postcss.config.mjs new file mode 100644 index 0000000..f69c5d4 --- /dev/null +++ b/app/frontend/postcss.config.mjs @@ -0,0 +1,6 @@ +export default { + plugins: { + "@tailwindcss/postcss": {}, + autoprefixer: {}, + }, +}; diff --git a/app/frontend/public/favicon.png b/app/frontend/public/favicon.png new file mode 100644 index 0000000..99c4274 Binary files /dev/null and b/app/frontend/public/favicon.png differ diff --git a/app/frontend/public/logo.png b/app/frontend/public/logo.png new file mode 100644 index 0000000..a2753dc Binary files /dev/null and b/app/frontend/public/logo.png differ diff --git a/app/frontend/tsconfig.json b/app/frontend/tsconfig.json new file mode 100644 index 0000000..842da0a --- /dev/null +++ b/app/frontend/tsconfig.json @@ -0,0 +1,44 @@ +{ + "compilerOptions": { + "target": "ES2022", + "lib": [ + "dom", + "dom.iterable", + "ES2022" + ], + "allowJs": false, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "ESNext", + "moduleResolution": "Bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "react-jsx", + "incremental": true, + "types": [ + "node" + ], + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": [ + "./*" + ] + } + }, + "include": [ + "next-env.d.ts", + "**/*.ts", + "**/*.tsx", + ".next/types/**/*.ts", + ".next/dev/types/**/*.ts" + ], + "exclude": [ + "node_modules" + ] +} diff --git a/app/frontend/types/monitor.ts b/app/frontend/types/monitor.ts new file mode 100644 index 0000000..60a8560 --- /dev/null +++ b/app/frontend/types/monitor.ts @@ -0,0 +1,7 @@ +export interface PollState { + data: T | null; + error: string | null; + loading: boolean; + lastUpdated: string | null; + attemptedUrl: string; +} diff --git a/docs/PRD.md b/docs/PRD.md index 648b7d8..23ddeec 100644 --- a/docs/PRD.md +++ b/docs/PRD.md @@ -17,7 +17,7 @@ Avaaz is a mobile and web application featuring a motivating conversational AI tutor powered by advanced agentic capabilities. It teaches oral language skills through structured, interactive, voice-first lessons that adapt to each student’s pace and performance. Avaaz supports learners at any CEFR level from A1 to B2, with the primary outcome being readiness for the CEFR B2 oral proficiency exam and confident participation in real-life conversations in the destination country. -Avaaz combines a CEFR-aligned curriculum, real-time AI conversation, and production-grade infrastructure (FastAPI backend, Next.js frontend, LiveKit WebRTC, and PostgreSQL + pgvector) to deliver natural, low-latency speech-to-speech interactions across devices. +Avaaz combines a CEFR-aligned curriculum with real-time AI conversation to deliver natural, low-latency speech-to-speech interactions across devices. **Problem Statement:** Adult immigrants and other language learners struggle to achieve confident speaking ability in their target language, especially at the B2 level required for exams, citizenship, or professional roles. Existing solutions (apps, textbooks, group classes) emphasize passive skills (reading, vocabulary drills, grammar) and offer limited opportunities for high-quality spoken practice with immediate, personalized feedback. Human tutors are expensive, scarce in many regions, and difficult to scale, leaving learners underprepared for real-life conversations and high-stakes oral exams. @@ -81,7 +81,7 @@ This section describes the core capabilities required for a production-grade Ava - Learner can start a voice session from mobile or web with one tap/click. - Audio is streamed via WebRTC with end-to-end latency low enough to support natural turn-taking (target < 250 ms one-way). - AI tutor responds using synthesized voice and on-screen text. - - Both user and tutor audio are transcribed in real time and stored with the session for later review and analytics (subject to retention and privacy policies). + - Transcription and persistence of audio and text follow the persistent conversation and transcript requirements described below. - If the microphone or network fails, the app displays an actionable error and offers a retry or text-only fallback. **Dependencies:** LiveKit server (signaling + media), LLM realtime APIs (OpenAI Realtime, Gemini Live), Caddy reverse proxy, WebRTC-capable browsers/mobile clients, backend session orchestration. @@ -282,7 +282,7 @@ This section describes the core capabilities required for a production-grade Ava **Acceptance Criteria:** - Instructors can upload documents and images (e.g., forms, articles, exam prompts, everyday photos) into the system. - - The backend parses and indexes uploaded material (e.g., via Docling and embeddings) so that AI can reference it during lessons. + - The backend parses and indexes uploaded material via a document processing and embedding pipeline so that AI can reference it during lessons. - Instructors can select target level(s), objectives, and exam formats when creating or editing a lesson. - AI suggests lesson structures, prompts, and example dialogues that instructors can review and modify before publishing. - Lessons are stored with metadata (level, skills, topics, exam parts) and become available in the learner curriculum and mock exams. diff --git a/docs/plan.md b/docs/plan.md index e69de29..42df604 100644 --- a/docs/plan.md +++ b/docs/plan.md @@ -0,0 +1,457 @@ +# Avaaz Implementation Plan + +This implementation plan translates the Product Requirements (`docs/PRD.md`), product description (`README.md`), and system architecture (`docs/architecture.md`) into concrete, phased engineering work for a production-grade Avaaz deployment. + +The goal is to deliver an end-to-end, voice-first AI speaking coach that supports learners from A1–B2, with B2 oral exam readiness as the primary outcome. + +--- + +## 1. Guiding Principles + +- **B2 exam readiness first, A1–B2 capable:** Design features and data models so that they support A1–B2 learners, but prioritize workflows that move learners toward B2 oral exam success. +- **Voice-first, text-strong:** Optimize for real-time speech-to-speech interactions, with robust transcripts and text UX as first-class companions. +- **Single source of truth:** Keep curriculum, lessons, transcripts, and analytics centralized in PostgreSQL + pgvector; no separate vector store. +- **Continuous sessions:** All conversations run within persistent sessions (`/sessions/default`), preserving state across reconnects. +- **Infrastructure parity:** Development Docker stack mirrors production VPS stacks (infra/app), as described in `docs/architecture.md`. +- **Security and privacy:** Apply strong auth, least-privilege access, safe logging, and clear retention policies for voice/transcript data. + +--- + +## 2. High-Level Phasing + +### Phase 1 – Foundation (M0–M2) + +- Set up core infrastructure (Dockerized backend, frontend, LiveKit, Postgres+pgvector, Caddy). +- Implement authentication, user model, and basic session handling. +- Implement minimal voice conversation loop (user ↔ AI tutor) with basic transcripts. +- Define initial CEFR-aware curriculum data model and seed a small set of lessons. + +### Phase 2 – Learning Experience & Analytics (M3–M4) + +- Implement full A1–B2 curriculum representation, scenarios, and level-aware adaptive tutoring. +- Add progress dashboard, gamification basics, and post-session summaries. +- Implement AI-assisted lesson authoring and learner-upload-based lessons. +- Introduce mock exam templates (A1–A2, A2–B1, B1–B2) and B2-focused exam reports. + +### Phase 3 – Scale, Reliability & Monetization (M5–M6) + +- Harden infrastructure (observability, health checks, admin dashboards). +- Add subscription plans and Stripe integration. +- Optimize performance (latency, concurrency), tune analytics pipelines, and finalize launch-readiness tasks. + +--- + +## 3. Backend Workstream (FastAPI + LiveKit + LLMs) + +### 3.1 Core Service Setup + +**Goals** + +- Production-ready FastAPI service with auth, sessions, and integrations. + +**Tasks** + +- Use the existing backend layout under `app/backend` as the foundation: + - `app/backend/main.py` – app factory and router wiring. + - `app/backend/core/config.py` – Pydantic-settings for core configuration, DB_URL, LLM keys, LiveKit, Stripe, etc. + - `app/backend/core/database.py` – database/session utilities; extend to add SQLAlchemy, pgvector, and Alembic integration. + - `app/backend/api/v1/router.py` – versioned API router aggregator; include routers from feature and operation modules (existing `features.auth`, `operations.health`, plus future `lessons`, `chat`, `documents`). + - `app/backend/features/*` and `app/backend/operations/*` – domain logic and HTTP routers (e.g., auth, lessons, chat, payments, document upload, health). +- Implement base middleware (CORS, logging, request ID, error handling). +- Ensure `/health`, `/health/live`, and `/health/ready` endpoints are wired and return basic dependency checks (DB connectivity, LiveKit reachability, LLM connectivity where safe). + +**Deliverables** + +- Running FastAPI service in Docker with `/health` OK and OpenAPI docs available. + +### 3.2 Data Model & Persistence + +**Goals** + +- Support A1–B2 curriculum, lessons, sessions, transcripts, and analytics in PostgreSQL + pgvector. + +**Tasks** + +- Design and implement SQLAlchemy models: + - `User` – profile, locale, target level, subscription plan, preferences. + - `CurriculumObjective` – per level (A1–B2), skill (reception, production, interaction, mediation), descriptor text. + - `Lesson` – CEFR level, objectives, type (lesson, scenario, exam part), metadata (topic, context). + - `Scenario` / `ScenarioStep` – structured oral tasks (self-presentation, picture description, opinion exchange, arguing a statement) with configuration for timing and mode (individual/pair). + - `Session` – persistent conversational session per user (mode, state, summary, last_activity_at). + - `Turn` – individual utterances with role (user/AI), timestamps, raw transcript, audio reference, CEFR difficulty metadata. + - `ExamTemplate` / `ExamPart` – A1–A2, A2–B1, B1–B2 templates with timing, task types, scoring dimensions. + - `ExamAttempt` / `ExamScore` – attempt metadata, estimated CEFR level, component scores. + - `UploadDocument` / `DocumentChunk` – files and parsed chunks with `vector` embeddings (stored alongside or extending the existing backend package under `app/backend`). + - `ProgressSnapshot` – aggregate metrics for dashboards (per user and optionally per program). + - `Subscription` / `PaymentEvent` – billing state and usage limits. +- Add related Alembic migrations; verify they run cleanly on dev DB. + +**Deliverables** + +- Migrations and models aligned with PRD feature set and architecture. + +### 3.3 Authentication & User Management + +**Goals** + +- Secure user auth using FastAPI Users (or equivalent) with JWT and refresh tokens. + +**Tasks** + +- Configure FastAPI Users: + - Email/password registration, login, password reset, email verification. + - Role support (learner, instructor, admin) for curriculum authoring and admin dashboards. +- Integrate auth into routes (`dependencies.py` with `current_user`). +- Implement `users` endpoints for profile (target CEFR level, locale) and preferences (greeting verbosity, data retention preferences). + +**Deliverables** + +- Auth flows working in backend and callable from Postman / curl. + +### 3.4 Session Management & Transcripts + +**Goals** + +- Provide continuous session behavior with persistent history, as described in `docs/architecture.md` and PRD. + +**Tasks** + +- Implement `GET /sessions/default`: + - Create or fetch `Session` for current user. + - Load summary, current lesson state, and progress context. +- Implement `POST /sessions/default/token`: + - Generate short-lived LiveKit token with room identity tied to the session. +- Integrate with LiveKit Agent: + - Implement an LLM integration module (for example under `app/backend/features/llm.py` or similar) that configures the realtime session using historical summary, current goals, and mode (lesson/mock exam/free). +- Implement transcript persistence: + - Receive partial/final transcripts from LiveKit/agent. + - Append `Turn` records and maintain rolling summaries for context. + - Respect retention settings. +- Implement post-session summarization endpoint / background job: + - Generate per-session summary, strengths/weaknesses, recommended next steps. + +**Deliverables** + +- API and background flows that maintain continuous conversational context per user. + +### 3.5 Curriculum & Lesson APIs + +**Goals** + +- Expose CEFR-aligned curriculum and lesson content to frontend and agent. + +**Tasks** + +- Implement `lessons` router: + - List lessons by level, topic, recommended next steps. + - Fetch details for a specific lesson, including objectives and scenario steps. + - Mark lesson progress and completion; update `ProgressSnapshot`. +- Implement endpoints for curriculum objectives and mapping to lessons. +- Implement endpoints to retrieve scenario templates for mock exams and regular lessons. + +**Deliverables** + +- Stable JSON API for curriculum and lessons, used by frontend and agent system prompts. + +### 3.6 AI-Assisted Authoring & User Uploads + +**Goals** + +- Support instructor-designed and learner-generated lessons from uploaded materials. + +**Tasks** + +- Implement `documents` router: + - File upload endpoints for documents and images (instructor and learner scopes). + - Trigger document processing pipeline (Docling or similar) to parse text and structure. + - Chunk documents and store embeddings in `DocumentChunk` using pgvector. +- Implement instructor authoring endpoints: + - Create/update/delete lessons referencing uploaded documents/images. + - AI-assisted suggestion endpoint that uses LLM to propose lesson structure, prompts, and exam-style tasks conditioned on level and objectives. +- Implement learner upload endpoints: + - User-specific upload and lesson creation (on-the-fly lessons). + - Link created “ad-hoc” lessons to sessions so the tutor can reference them during practice. + +**Deliverables** + +- Endpoints supporting both admin/instructor authoring and user-driven contextual lessons. + +### 3.7 Mock Exam Engine & Scoring + +**Goals** + +- Implement configurable mock oral exam flows for A1–A2, A2–B1, and B1–B2, with B2 focus. + +**Tasks** + +- Implement exam orchestration service: + - Given an `ExamTemplate`, manage progression through `ExamPart`s (including warm-up, individual tasks, pair tasks). + - Enforce timing and mode flags to drive agent prompts. +- Integrate scoring: + - Use LLM to derive component scores (fluency, pronunciation, grammar, vocabulary, coherence) from transcripts. + - Map to estimated CEFR band and store in `ExamScore`. +- Expose endpoints: + - Start exam, fetch exam status, retrieve past exam results. + +**Deliverables** + +- End-to-end exam session that runs via the same LiveKit + agent infrastructure and stores exam results. + +### 3.8 Analytics & Reporting + +**Goals** + +- Provide learner-level dashboards and program-level reporting. + +**Tasks** + +- Implement periodic aggregation (cron/async tasks) populating `ProgressSnapshot`. +- Implement analytics endpoints: + - Learner metrics (minutes spoken, session counts, trends per skill). + - Program-level metrics (for instructors/coordinators) with appropriate role-based access. +- Ensure privacy controls (anonymized or pseudonymized data where required). + +**Deliverables** + +- Backend API supporting progress dashboards and reports as per PRD. + +--- + +## 4. Frontend Workstream (Next.js + LiveKit) + +### 4.1 Foundation & Layout + +**Goals** + +- Production-ready Next.js PWA front-end that matches Avaaz branding and supports auth, routing, and basic pages. + +**Tasks** + +- Initialize Next.js app (per `README.md`): + - Configure `next.config.js`, TypeScript, ESLint, PWA manifest, and global styles. + - Implement `app/layout.tsx` with theme, localization provider, and navigation. + - Implement `app/page.tsx` landing page aligned with product positioning (A1–B2, B2 focus). +- Implement auth pages (login, register, email verification, forgot password). + +**Deliverables** + +- Frontend skeleton running under Docker, reachable via Caddy in dev stack. + +### 4.2 Chat & Voice Experience + +**Goals** + +- Voice-first conversational UI integrated with LiveKit and backend sessions. + +**Tasks** + +- Build `ChatInterface.tsx`: + - Microphone controls, connection status, basic waveform/level visualization. + - Rendering of AI and user turns with text and visual aids (images, tables) as provided by backend/agent. + - Error states for mic and network issues; text-only fallback UI. +- Integrate with backend session APIs: + - On login, call `GET /sessions/default`, then `POST /sessions/default/token`. + - Connect to LiveKit using the token; handle reconnection logic. +- Display contextual greeting and summary on session start using data returned from `sessions` API. + +**Deliverables** + +- Usable chat interface capable of sustaining real-time conversation with the AI tutor. + +### 4.3 Curriculum & Lesson UX + +**Goals** + +- Allow learners to browse curriculum, start lessons, and view progress. + +**Tasks** + +- Implement curriculum overview page: + - Display modules and lessons grouped by CEFR levels (A1–B2). + - Indicate completion and recommended next lessons. +- Implement lesson detail page: + - Show lesson goals, target level, estimated time, and exam-related tags. + - Start lesson → opens chat view in appropriate mode with lesson context. +- Integrate progress indicators (streaks, minutes, CEFR band) into dashboard. + +**Deliverables** + +- Navigation and views covering core learning flows described in PRD. + +### 4.4 Mock Exam UX + +**Goals** + +- Implement exam-specific UX consistent with oral exams and PRD. + +**Tasks** + +- Build exam selection page: + - Allow user to choose exam level (A1–A2, A2–B1, B1–B2/B2-mock). +- In-session exam UI: + - Show current exam part, timer, and appropriate instructions. + - Indicate whether current part is scored or warm-up. +- Results page: + - Show estimated CEFR level, component scores, and textual feedback. + - Provide links to detailed transcripts, audio, and recommended follow-up lessons. + +**Deliverables** + +- End-to-end exam flow from selection to results. + +### 4.5 AI-Assisted Authoring & Upload UX + +**Goals** + +- Provide UIs for instructors and learners to upload content and create lessons. + +**Tasks** + +- Instructor interface: + - Lesson builder UI with level, objectives, exam part, and document selection. + - “Generate with AI” action to fetch suggested prompts/structure; edit-in-place and publish. +- Learner interface: + - Simple upload flow (document/image) to create ad-hoc practice. + - Quick-start buttons to jump from uploaded content to a tailored lesson in the chat interface. + +**Deliverables** + +- Authoring tools that map onto backend authoring APIs. + +### 4.6 Analytics & Admin Health Dashboard + +**Goals** + +- Provide admin and instructor dashboards for system health and learner analytics. + +**Tasks** + +- Learner dashboard: + - Visualize key metrics and streaks, integrated with backend analytics. +- Instructor/program dashboard: + - Aggregate usage and progress metrics for groups. +- Admin health dashboard: + - Surface backend `/health` status, LiveKit status, DB health indicators, and LLM connectivity signals. + +**Deliverables** + +- Dashboards that satisfy PRD’s analytics and health visibility requirements. + +--- + +## 5. Real-Time & Media Workstream (LiveKit + Agents) + +### 5.1 LiveKit Server & Config + +**Tasks** + +- Use the existing `livekit` service in `app/docker-compose.yml` as the basis, keeping signaling on port 7880 and the WebRTC media port range configurable via environment variables (currently defaulting to 60000–60100) and attached to the shared `proxy` network used by Caddy. +- Ensure secure API keys and appropriate room/track settings for voice-only sessions. +- Configure UDP ports and signaling endpoints (`rtc.avaaz.ai` → Caddy → `livekit:7880`) as described in `docs/architecture.md` and `infra/Caddyfile`. + +### 5.2 Client Integration + +**Tasks** + +- Wire frontend to LiveKit: + - Use `@livekit/client` to join rooms using tokens from backend. + - Handle reconnection and session resumption. +- Integrate with backend session and agent orchestration. + +### 5.3 Agent Integration with Realtime LLMs + +**Tasks** + +- Implement LiveKit Agent that: + - Connects to OpenAI Realtime or Gemini Live according to configuration. + - Streams user audio and receives streamed AI audio and partial transcripts. + - Forwards transcripts and metadata to backend for persistence. +- Implement prompt templates for: + - Regular lessons, mock exams, free conversation. + - CEFR-level adaptation and exam-specific tasks. + +**Deliverables** + +- Stable real-time pipeline from user microphone to LLM and back, integrated with backend logic. + +--- + +## 6. Infrastructure & DevOps Workstream + +### 6.1 Docker & Compose + +**Tasks** + +- Define and refine: + - `infra/docker-compose.yml` – infra stack (Caddy, Gitea, Gitea runner). + - `app/docker-compose.yml` – app stack (frontend, backend, LiveKit, Postgres+pgvector). +- Configure volumes and networks (`proxy` network for routing via Caddy). + +### 6.2 CI & CD (Gitea + Actions) + +**Tasks** + +- CI: + - Extend `.gitea/workflows/ci.yml` to run linting, type-checking, and tests for backend and frontend once those projects are scaffolded under `app/backend` and `app/frontend`. + - Add build verification for any Docker images produced for the app stack. +- CD: + - Use `.gitea/workflows/cd.yml` as the tag-based deploy workflow, following the deployment approach in `docs/architecture.md`. + - Deploy tags `v*` only if they are on `main`. + - Use `/health` and key endpoints for readiness checks; roll back on failures. + +### 6.3 Observability & Monitoring + +**Tasks** + +- Centralize logs and metrics for backend, frontend, LiveKit, and Postgres. +- Configure alerting for: + - Application errors. + - Latency and uptime SLOs for voice and API endpoints. + - Resource usage (CPU, memory, DB connections). + +--- + +## 7. Quality, Security, and Compliance + +### 7.1 Testing Strategy + +**Tasks** + +- Backend: + - Unit tests for core logic modules (e.g., health checks, config, LLM/document/payment integration) and any data models. + - Integration tests for auth, sessions, and lessons using httpx + pytest. +- Frontend: + - Component tests for core UI (chat, curriculum, dashboards). + - E2E flows for login, start lesson, start exam, and view progress. +- Voice stack: + - Automated sanity checks for LiveKit connectivity and audio round-trip. + +### 7.2 Security & Privacy + +**Tasks** + +- Apply OWASP-aligned input validation and output encoding. +- Enforce HTTPS everywhere via Caddy; HSTS and secure cookies where applicable. +- Implement appropriate retention and deletion policies for audio and transcripts. +- Document data handling for learners and institutions (for future legal review). + +--- + +## 8. Rollout Plan + +### 8.1 Internal Alpha + +- Run app stack locally for core team. +- Validate foundational flows: auth, voice session, basic lesson, transcripts. + +### 8.2 Closed Beta + +- Onboard a small cohort of A2–B2 learners and one or two programs. +- Focus on curriculum fit, tutor behavior, and exam simulation realism. +- Collect data to refine prompt templates, lesson design, and dashboard UX. + +### 8.3 Public Launch + +- Enable subscription plans and payment. +- Turn on production monitoring and on-call processes. +- Iterate on performance, reliability, and content quality based on real usage.