feat: add migrations, api bot endpoints and revamp the whole twitch backend by making use of twitchio

.gitignore

@@ -114,18 +114,5 @@ src/huesoporro/tts_files/
 # Devenv
 .devenv*
 devenv.local.nix
-
 # direnv
 .direnv
-
-# pre-commit
-.pre-commit-config.yaml
-# Devenv
-.devenv*
-devenv.local.nix
-
-# direnv
-.direnv
-
-# pre-commit
-.pre-commit-config.yaml

Dockerfile

@@ -32,8 +32,13 @@ COPY --chown=$USERNAME pyproject.toml uv.lock Makefile README.md ./
 RUN uv sync
 
 COPY --chown=$USERNAME src/ src/
+COPY --chown=$USERNAME migrations/ migrations/
 
 
 FROM base AS serve
 
 CMD ["make", "serve"]
+
+FROM base AS migrate
+
+CMD ["make", "migrate"]

Makefile

@@ -16,3 +16,6 @@ serve:
 
 build:
 	docker build . -t git.roboces.dev/catalin/$(PROJECT_NAME):$(PROJECT_TAG) --target $(PROJECT_TARGET)
+
+migrate:
+	uv run caribou upgrade ~/.local/share/huesoporro/huesoporro.db migrations/

charts/huesoporro/Chart.yaml

@@ -15,10 +15,10 @@ type: application
 # This is the chart version. This version number should be incremented each time you make changes
 # to the chart and its templates, including the app version.
 # Versions are expected to follow Semantic Versioning (https://semver.org/)
-version: 0.2.1
+version: 0.2.2
 
 # This is the version number of the application being deployed. This version number should be
 # incremented each time you make changes to the application. Versions are not expected to
 # follow Semantic Versioning. They should reflect the version the application is using.
 # It is recommended to use it with quotes.
-appVersion: "0.2.1"
+appVersion: "0.2.2"

charts/huesoporro/templates/deployment.yaml

@@ -40,6 +40,17 @@ spec:
               mountPath: /data
           securityContext:
             runAsUser: 0
+        - name: migrate
+          image: "{{ .Values.image.repository }}:{{ .Values.image.tag | default .Chart.AppVersion }}"
+          imagePullPolicy: {{ .Values.image.pullPolicy }}
+          command:
+            - make
+            - migrate
+          {{- if .Values.persistence.enabled }}
+          volumeMounts:
+            - name: data
+              mountPath: /home/huesoporro/.local/share/huesoporro
+          {{- end }}
       {{- end }}
       containers:
         - name: {{ .Chart.Name }}

charts/huesoporro/values.yaml

@@ -11,7 +11,7 @@ image:
   # This sets the pull policy for images.
   pullPolicy: Always
   # Overrides the image tag whose default is the chart appVersion.
-  tag: "0.2.1"
+  tag: "0.2.2"
 
 # This is for the secretes for pulling an image from a private repository more information can be found here: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
 imagePullSecrets: []

migrations/20241213175820_auth.py

@@ -0,0 +1,29 @@
+"""
+This module contains a Caribou migration.
+
+Migration Name: auth
+Migration Version: 20241213175820
+"""
+
+
+def upgrade(connection):
+    # add your upgrade step here
+    sql = """
+    create table users
+    (
+        id INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL,
+        user varchar(255) NOT NULL UNIQUE,
+        access_token varchar(255) NOT NULL,
+        refresh_token varchar(255) NOT NULL,
+        expires_at TIMESTAMP NOT NULL,
+        last_updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+        created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+    );
+    """
+    connection.execute(sql)
+    connection.commit()
+
+
+def downgrade(connection):
+    # add your downgrade step here
+    pass

migrations/20241216204252_quotes.py

@@ -0,0 +1,38 @@
+"""
+This module contains a Caribou migration.
+
+Migration Name: quotes
+Migration Version: 20241216204252
+"""
+
+
+def upgrade(connection):
+    # add your upgrade step here
+    sql = """
+    create table quotes
+    (
+        id INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL,
+        quote varchar(255) NOT NULL UNIQUE,
+        author varchar(255),
+        channel varchar(255),
+        created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+        last_updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+    );
+    """
+    connection.execute(sql)
+    sql = """
+    create table sentences
+    (
+        id INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL,
+        sentence varchar(255) NOT NULL UNIQUE,
+        created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+        last_updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+    );
+    """
+    connection.execute(sql)
+    connection.commit()
+
+
+def downgrade(connection):
+    # add your downgrade step here
+    pass

migrations/20241217000747_settings.py

@@ -0,0 +1,28 @@
+"""
+This module contains a Caribou migration.
+
+Migration Name: settings
+Migration Version: 20241217000747
+"""
+
+
+def upgrade(connection):
+    sql = """
+    create table settings(
+        id INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL,
+        user_id VARCHAR(255) NOT NULL UNIQUE,
+        automatic_generation_timer INTENGER NOT NULL DEFAULT 300,
+        automatic_quote_timer INTEGER NOT NULL DEFAULT 500,
+        mods VARCHAR(255),
+        created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+        last_updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+        FOREIGN KEY (user_id) REFERENCES users(user)
+    );
+    """
+    connection.execute(sql)
+    connection.commit()
+
+
+def downgrade(connection):
+    # add your downgrade step here
+    pass

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "huesoporro"
-version = "0.2.1"
+version = "0.2.2"
 description = "Misc Twitch bots"
 readme = "README.md"
 authors = [
@@ -20,6 +20,13 @@ dependencies = [
     "gtts>=2.5.4",
     "litestar[standard]>=2.13.0",
     "httpx>=0.28.0",
+    "caribou>=0.4.1",
+    "aiosqlite>=0.20.0",
+    "pyjwt>=2.10.1",
+    "huey>=2.5.2",
+    "twitchio>=2.10.0",
+    "redis>=5.2.1",
+    "pytest>=8.3.4",
 ]
 
 [tool.uv]

src/huesoporro/actions/store_quote.py

@@ -0,0 +1,18 @@
+from pydantic import BaseModel
+
+from src.huesoporro.models import User
+from src.huesoporro.svc.is_mod import IsModSvc
+from src.huesoporro.svc.store_quote import QuoteStorerSvc
+
+
+class StoreQuoteAction(BaseModel):
+    quote_storer_svc: QuoteStorerSvc
+    is_mod_svc: IsModSvc
+
+    async def run(
+        self, user: User, channel: str, quote: str, author: str, username: str
+    ) -> str:
+        if not await self.is_mod_svc.run(user=user, username=username):
+            return f"{username} is not a mod and cannot add quotes. Only moderators can add quotes. Sorry!"
+        await self.quote_storer_svc.run(channel, quote, author)
+        return f"«{quote}» added by {author}."

src/huesoporro/api/dependencies.py

@@ -0,0 +1,48 @@
+from litestar import Request
+from litestar.exceptions import HTTPException
+
+from src.huesoporro.infra.authenticator import TwitchAuthenticator
+from src.huesoporro.infra.db import Database
+from src.huesoporro.models import User
+from src.huesoporro.settings import Settings
+from src.huesoporro.svc.authenticate import CodeAuthenticatorSvc
+from src.huesoporro.svc.get_chatbot_settings import ChatbotSettingsGetterSvc
+from src.huesoporro.svc.store_settings import ChatbotSettingsStorerSvc
+
+
+def get_settings() -> Settings:
+    return Settings.get()
+
+
+def get_authenticator(s: Settings) -> TwitchAuthenticator:
+    return TwitchAuthenticator(s=s)
+
+
+def get_db(s: Settings):
+    return Database(s=s)
+
+
+async def authenticate(request: Request) -> User:
+    token = request.query_params.get("huesoporro_token")
+    if token:
+        return User.decode(token)
+
+    cookies = request.cookies.get("huesoporroAuth")
+    if cookies:
+        return User.decode(cookies)
+
+    raise HTTPException(status_code=401, detail="Unauthorized")
+
+
+async def get_code_authenticator_svc(
+    a: TwitchAuthenticator, db: Database
+) -> CodeAuthenticatorSvc:
+    return CodeAuthenticatorSvc(authenticator=a, db=db)
+
+
+async def get_chatbot_settings_svc(db: Database):
+    return ChatbotSettingsGetterSvc(db=db)
+
+
+async def store_chatbot_settings_svc(db: Database):
+    return ChatbotSettingsStorerSvc(db=db)

src/huesoporro/api/errors.py

@@ -0,0 +1,45 @@
+import httpx
+from litestar import MediaType, Request, Response
+from litestar.exceptions import HTTPException
+from litestar.response import Redirect
+from litestar.status_codes import HTTP_500_INTERNAL_SERVER_ERROR
+from loguru import logger
+
+
+def http_exception_handler(_: Request, exc: HTTPException) -> Response:
+    status_code = getattr(exc, "status_code", HTTP_500_INTERNAL_SERVER_ERROR)
+    detail = getattr(exc, "detail", "")
+
+    if isinstance(exc, HTTPException) and (exc.status_code in [401, 403]):
+        logger.warning("User could not authenticate. Redirecting to /login page")
+        return Redirect("/login")
+
+    return Response(
+        media_type=MediaType.TEXT,
+        content=detail,
+        status_code=status_code,
+    )
+
+
+def httpx_status_error_handler(_: Request, exc: httpx.HTTPStatusError):
+    logger.error(f"HTTPX error occurred: {exc}")
+    return Response(
+        media_type=MediaType.TEXT,
+        content=f"HTTPX error occurred: {exc}",
+        status_code=exc.response.status_code,
+    )
+
+
+async def after_exception_handler(exc: Exception, scope: "Scope") -> None:
+    """Hook function that will be invoked after each exception."""
+    state = scope["app"].state
+    if not hasattr(state, "error_count"):
+        state.error_count = 1
+    else:
+        state.error_count += 1
+    logger.error(
+        f"an exception of type {type(exc).__name__} has occurred for requested path {scope['path']} and the application error count is {state.error_count}.",
+    )
+    import traceback
+
+    traceback.print_exc()

src/huesoporro/api/main.py

@@ -0,0 +1,85 @@
+import httpx
+from litestar import Litestar, get
+from litestar.contrib.jinja import JinjaTemplateEngine
+from litestar.di import Provide
+from litestar.exceptions import HTTPException
+from litestar.static_files import StaticFilesConfig
+from litestar.template import TemplateConfig
+
+from src.huesoporro.api.dependencies import (
+    authenticate,
+    get_authenticator,
+    get_chatbot_settings_svc,
+    get_code_authenticator_svc,
+    get_db,
+    get_settings,
+    store_chatbot_settings_svc,
+)
+from src.huesoporro.api.errors import (
+    after_exception_handler,
+    http_exception_handler,
+    httpx_status_error_handler,
+)
+from src.huesoporro.api.routes.api import (
+    get_bot_settings,
+    get_bot_status,
+    get_index,
+    get_tts_overlay,
+    get_tts_permalink,
+    manage_bot,
+    save_bot_settings,
+)
+from src.huesoporro.api.routes.auth import get_code, login
+from src.huesoporro.bot import BotsManager
+from src.huesoporro.settings import Settings
+
+
+@get("/healthz")
+def get_health() -> dict:
+    return {"status": "ok"}
+
+
+def create_app():
+    return Litestar(
+        route_handlers=[
+            get_health,
+            login,
+            get_index,
+            get_tts_overlay,
+            get_tts_permalink,
+            get_code,
+            manage_bot,
+            get_bot_status,
+            save_bot_settings,
+            get_bot_settings,
+        ],
+        static_files_config=(
+            StaticFilesConfig(
+                path="/tts_files",
+                directories=[Settings.get().tts_cache_path],
+            ),
+            StaticFilesConfig(
+                path="static",
+                directories=[Settings.get().static_files_path],
+            ),
+        ),
+        template_config=TemplateConfig(
+            directory=Settings.get().templates_files_path,
+            engine=JinjaTemplateEngine,
+        ),
+        exception_handlers={
+            HTTPException: http_exception_handler,
+            httpx.HTTPStatusError: httpx_status_error_handler,
+        },
+        after_exception=[after_exception_handler],
+        dependencies={
+            "s": Provide(get_settings, use_cache=True),
+            "a": Provide(get_authenticator, use_cache=True),
+            "user": Provide(authenticate),
+            "db": Provide(get_db, use_cache=True),
+            "code_authenticator_svc": Provide(get_code_authenticator_svc),
+            "bm": Provide(BotsManager, use_cache=True),
+            "gbs": Provide(get_chatbot_settings_svc),
+            "sbs": Provide(store_chatbot_settings_svc),
+        },
+    )

src/huesoporro/api/routes/api.py

@@ -0,0 +1,86 @@
+from typing import Literal
+
+from litestar import MediaType, Response, get, put
+from litestar.response import Template
+from pydantic import BaseModel
+
+from src.huesoporro.bot import BotsManager
+from src.huesoporro.models import ChatbotSettings, User
+from src.huesoporro.svc.get_chatbot_settings import ChatbotSettingsGetterSvc
+from src.huesoporro.svc.store_settings import ChatbotSettingsStorerSvc
+
+
+class ManageBotDTO(BaseModel):
+    command: Literal["start", "stop"]
+    channel_name: str | None = None
+
+
+@get(
+    "/tts",
+    media_type=MediaType.HTML,
+)
+async def get_tts_overlay() -> Template:
+    return Template(template_name="tts.html")
+
+
+@get(
+    "/tts/permalink",
+    media_type=MediaType.HTML,
+)
+async def get_tts_permalink(access_token: str) -> Template:
+    """Handler for the /tts permalink endpoint to be used by apps that can only give the authentication as a query
+    param and not as a cookie, i.e. OBS"""
+
+    # authenticate the user using the provided access token
+
+    return Template(
+        template_name="tts.html",
+    )
+
+
+@get(
+    "/",
+    media_type=MediaType.HTML,
+)
+async def get_index(user: User, gbs: ChatbotSettingsGetterSvc) -> Template:
+    chatbot_settings = await gbs.run(user=user)
+    return Template(template_name="index.html", context=chatbot_settings.model_dump() if chatbot_settings else {})
+
+
+@put("/api/v1/bot")
+async def manage_bot(
+        user: User, data: ManageBotDTO, gbs: ChatbotSettingsGetterSvc, bm: BotsManager
+) -> Response:
+    chatbot_settings = await gbs.run(user=user)
+    if data.command == "start":
+        if not data.channel_name:
+            return Response({"message": "Channel name is required"}, status_code=400)
+        bm.add_bot(user, data.channel_name, chatbot_settings=chatbot_settings)
+        if user.user in bm.bots:
+            await bm.run_user_bot(user)
+            return Response({"message": "Bot started"})
+    if data.command == "stop" and user.user in bm.bots:
+        await bm.stop_user_bot(user)
+        return Response({"message": "Bot stopped"})
+
+
+@get("/api/v1/bot")
+async def get_bot_status(user: User, bm: BotsManager) -> dict:
+    if user.user not in bm.bots:
+        return {"status": "ko"}
+    return {"status": "ok"}
+
+
+@get("/api/v1/bot/settings")
+async def get_bot_settings(
+        user: User, gbs: ChatbotSettingsGetterSvc
+) -> ChatbotSettings:
+    return await gbs.run(user=user)
+
+
+@put("/api/v1/bot/settings")
+async def save_bot_settings(
+        user: User, data: ChatbotSettings, sbs: ChatbotSettingsStorerSvc
+) -> dict:
+    await sbs.run(user=user, bot_settings=data)
+    return {"status": "ok"}

src/huesoporro/api/routes/auth.py

@@ -0,0 +1,31 @@
+import secrets
+
+from litestar import MediaType, get
+from litestar.response import Redirect, Template
+
+from src.huesoporro.settings import Settings
+from src.huesoporro.svc.authenticate import CodeAuthenticatorSvc
+
+
+@get(path="/o/code")
+async def get_code(code: str, code_authenticator_svc: CodeAuthenticatorSvc) -> Redirect:
+    user = await code_authenticator_svc.run(code)
+    return Redirect("/", cookies={"huesoporroAuth": user.encode()})
+
+
+@get(
+    "/login",
+    media_type=MediaType.HTML,
+)
+async def login(s: Settings) -> Template:
+    scopes = "+".join(s.twitch_scopes)
+    return Template(
+        "login.html",
+        context={
+            "twitch_login_url": "https://id.twitch.tv/oauth2/authorize?response_type=code"
+            f"&client_id={s.twitch_client_id}"
+            f"&redirect_uri={s.server_hostname}o/code"
+            f"&scope={scopes}"
+            f"&state={secrets.token_urlsafe(32)}"
+        },
+    )

src/huesoporro/bot.py

@@ -0,0 +1,150 @@
+import asyncio
+
+from loguru import logger
+from twitchio import Channel
+from twitchio.ext import commands, routines
+
+from src.huesoporro.actions.store_quote import StoreQuoteAction
+from src.huesoporro.infra.db import Database
+from src.huesoporro.libs.db import Database as MarkovDB
+from src.huesoporro.models import ChatbotSettings, User
+from src.huesoporro.svc.generate import SentenceGeneratorSvc
+from src.huesoporro.svc.get_random_quote import RandomQuoteGetterSvc
+from src.huesoporro.svc.hello import HelloGeneratorSvc
+from src.huesoporro.svc.is_mod import IsModSvc
+from src.huesoporro.svc.store import SentenceStorerSvc
+from src.huesoporro.svc.store_quote import QuoteStorerSvc
+
+
+class Bot(commands.Bot):
+    def __init__(self, user: User, chatbot_settings: ChatbotSettings, channel: str):
+        super().__init__(
+            token=user.twitch_auth.access_token, prefix="!", initial_channels=[channel]
+        )
+        self.channel = channel
+        self.user = user
+        self.generate_svc = SentenceGeneratorSvc(db=MarkovDB(channel=channel))
+        self.hello_svc = HelloGeneratorSvc()
+        db = Database()
+        self.store_quote_action = StoreQuoteAction(
+            quote_storer_svc=QuoteStorerSvc(db=db), is_mod_svc=IsModSvc(db=db)
+        )
+
+        self.get_random_quote_svc = RandomQuoteGetterSvc(db=db)
+
+        self.quote_routine = routines.routine(
+            seconds=chatbot_settings.automatic_quote_timer, wait_first=True
+        )(self.send_quote)
+        self.generation_routine = routines.routine(
+            seconds=chatbot_settings.automatic_generation_timer, wait_first=True
+        )(self.send_generation)
+
+    async def event_ready(self):
+        logger.info(f"Logged in as {self.nick}")
+        logger.info(f"User id is {self.user_id}")
+
+    @commands.command()
+    async def hello(self, ctx: commands.Context, user: User | None = None):
+        username = user.name if user else ctx.author.name
+        await ctx.send(self.hello_svc.run(username))
+
+    @commands.command(aliases=["g"])
+    async def generate(self, ctx: commands.Context, *, words: str | None = None):
+        sentence = await self.generate_svc.run(words)
+        if sentence:
+            await ctx.send(sentence)
+
+    @commands.command(aliases=["qadd"])
+    async def add_quote(self, ctx: commands.Context, *, quote: str):
+        # extract author from quote; the author is the last word
+        quote, author = quote.rsplit(" ", 1)
+        await ctx.send(
+            await self.store_quote_action.run(
+                user=self.user,
+                channel=self.channel,
+                quote=quote,
+                author=author,
+                username=ctx.author.name,
+            )
+        )
+
+    @commands.command(aliases=["q", "quote"])
+    async def get_random_quote(self, ctx: commands.Context):
+        quote = await self.get_random_quote_svc.run(channel_name=self.channel)
+        await ctx.send(f"«{quote[0]}» - {quote[1]}")
+
+    def get_channel_conn(self) -> Channel:
+        return Channel(name=self.channel, websocket=self._connection)
+
+    async def send_quote(self):
+        quote = await self.get_random_quote_svc.run(channel_name=self.channel)
+        channel = self.get_channel_conn()
+        logger.info(f"Sending random quote {quote[0]}")
+        await channel.send(f"«{quote[0]}» - {quote[1]}")
+
+    async def send_generation(self):
+        sentence = await self.generate_svc.run()
+        if not sentence:
+            return
+        channel = self.get_channel_conn()
+        logger.info(f"Sending generated sentence {sentence}")
+        await channel.send(sentence)
+
+    def start_routines(self):
+        logger.info("Starting routines")
+        self.quote_routine.start(stop_on_error=False)
+        self.generation_routine.start(stop_on_error=False)
+
+    def stop_routines(self):
+        logger.info("Stopping routines")
+        self.quote_routine.cancel()
+        self.generation_routine.cancel()
+
+
+class SaveMessagesCog(commands.Cog):
+    def __init__(self, bot):
+        self.bot = bot
+        self.store_svc = SentenceStorerSvc(db=MarkovDB(channel=bot.channel))
+
+    @commands.Cog.event()
+    async def event_message(self, message):
+        # An event inside a cog!
+        content = message.content
+        if content.startswith("!"):
+            return
+
+        if not message.author:
+            return
+
+        await self.store_svc.run(content)
+
+
+class BotsManager:
+    def __init__(self):
+        self.bots: dict[str, Bot] = {}
+
+    def add_bot(self, user: User, channel: str, chatbot_settings: ChatbotSettings):
+        if user.user in self.bots:
+            logger.info(f"Bot for {user.user} already exists")
+            return
+        logger.info(f"Adding bot for {user.user}")
+        bot = Bot(user=user, channel=channel, chatbot_settings=chatbot_settings)
+        bot.add_cog(SaveMessagesCog(bot))
+        self.bots[user.user] = bot
+
+    async def run_user_bot(self, user: User):
+        if user.user not in self.bots:
+            return
+
+        logger.info(f"Starting bot for {user.user}")
+        bot = self.bots[user.user]
+        task = asyncio.create_task(bot.start())
+        task.add_done_callback(lambda x: logger.info(f"Bot for {user.user} stopped"))
+        bot.start_routines()
+
+    async def stop_user_bot(self, user: User):
+        if user.user not in self.bots:
+            return
+        bot = self.bots.pop(user.user)
+        await bot.close()
+        bot.stop_routines()

src/huesoporro/chatbot.py

@@ -1,62 +0,0 @@
-import asyncio
-from asyncio import sleep as asleep
-from queue import Queue
-from time import sleep
-
-import nltk
-from litestar import WebSocket
-from loguru import logger
-
-from src.huesoporro.libs.markov_chain_bot import MarkovChain
-from src.huesoporro.libs.settings import Settings as MarkovChainSettings
-from src.huesoporro.value_objects import WebsocketCommands, WebsocketMessage
-
-nltk.download("punkt_tab")
-
-
-class ChatbotManager:
-    def __init__(self):
-        self.bot: MarkovChain | None = None
-        self.clients: set[WebSocket] = set()
-        self.log_queue: Queue = Queue()
-        self.tasks: set = set()
-
-    def start_bot(
-        self,
-        channel_name: str,
-        nickname: str,
-        authentication: str,
-    ):
-        task = asyncio.create_task(self.send_bot_status())
-        self.tasks.add(task)
-        if self.bot:
-            return
-        self.bot = MarkovChain(
-            settings=MarkovChainSettings(
-                Channel=channel_name,
-                Nickname=nickname,
-                Authentication=authentication,
-                AutomaticGenerationTimer=300,
-            ),
-        )
-
-        self.bot.run_bot()
-        sleep(2)
-
-    def stop_bot(self):
-        self.bot.stop_bot()
-        self.bot = None
-
-    async def send_bot_status(self):
-        while True:
-            for client in self.clients:
-                message = WebsocketMessage(
-                    command=WebsocketCommands.CHATBOT_STATUS,
-                    data={"status": "ok" if self.bot else "ko"},
-                )
-                await client.send_text(message.model_dump_json())
-                logger.info(
-                    f"Sending bot status {message} to {client.client.host}:{client.client.port}"
-                )
-
-            await asleep(2)

src/huesoporro/infra/authenticator.py

@@ -0,0 +1,62 @@
+import httpx
+from litestar.exceptions import HTTPException
+from pydantic import BaseModel, ConfigDict, Field
+
+from src.huesoporro.models import TwitchAuth
+from src.huesoporro.settings import Settings
+
+
+class TwitchAuthenticator(BaseModel):
+    s: Settings = Field(default_factory=Settings.get)
+    client: httpx.AsyncClient = Field(
+        default_factory=lambda x: httpx.AsyncClient(base_url="https://id.twitch.tv/")
+    )
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+
+    async def get_token(self, code: str, auto_refresh: bool = True) -> TwitchAuth:
+        response = await self.client.post(
+            "/oauth2/token",
+            data={
+                "client_id": Settings.get().twitch_client_id,
+                "client_secret": Settings.get().twitch_client_secret.get_secret_value(),
+                "grant_type": "authorization_code",
+                "code": code,
+                "redirect_uri": f"{Settings.get().server_hostname}o/code",
+            },
+            headers={"Accept": "application/json"},
+        )
+
+        if auto_refresh and response.status_code == 401:
+            return await self.refresh_token(response.json()["refresh_token"])
+
+        response.raise_for_status()
+        return TwitchAuth(**response.json())
+
+    async def refresh_token(self, refresh_token: str) -> TwitchAuth:
+        response = await self.client.post(
+            "/oauth2/token",
+            data={
+                "client_id": Settings.get().twitch_client_id,
+                "client_secret": Settings.get().twitch_client_secret.get_secret_value(),
+                "grant_type": "refresh_token",
+                "refresh_token": refresh_token,
+            },
+            headers={"Accept": "application/json"},
+        )
+        response.raise_for_status()
+        return TwitchAuth(**response.json())
+
+    async def validate_token(self, access_token: str) -> str:
+        response = await self.client.get(
+            "/oauth2/validate", headers={"Authorization": f"OAuth {access_token}"}
+        )
+        response.raise_for_status()
+        user_data = response.json()
+
+        if user_data.get("status"):
+            raise HTTPException(status_code=401, detail="Unauthorized")
+
+        if (user := user_data["login"]) not in self.s.allowed_users:
+            raise HTTPException(status_code=403, detail="Forbidden")
+
+        return user

src/huesoporro/infra/db.py

@@ -0,0 +1,134 @@
+import datetime
+from contextlib import asynccontextmanager
+
+import aiosqlite
+from pydantic import BaseModel, Field
+
+from src.huesoporro.models import ChatbotSettings, User
+from src.huesoporro.settings import Settings
+from loguru import logger
+
+
+class Database(BaseModel):
+    s: Settings = Field(default_factory=Settings.get)
+
+    @asynccontextmanager
+    async def get_client(self, auto_commit=True):
+        logger.info(f"Opening database connection: {self.s.db_filepath}")
+        async with aiosqlite.connect(self.s.db_filepath) as db:
+            yield db
+            if auto_commit:
+                await db.commit()
+
+    @staticmethod
+    def get_now() -> float:
+        return datetime.datetime.now(datetime.UTC).timestamp()
+
+    async def save_user(self, user: User, auto_commit=True):
+        async with self.get_client(auto_commit=auto_commit) as db:
+            async with db.execute(
+                    "SELECT * FROM users WHERE user = ?", (user.user,)
+            ) as cursor:
+                result = await cursor.fetchone()
+            if result:
+                await db.execute(
+                    "UPDATE users SET access_token = ?, refresh_token = ?, expires_at = ?, last_updated_at = ? WHERE user = ?",
+                    (
+                        user.twitch_auth.access_token,
+                        user.twitch_auth.refresh_token,
+                        user.expires_at,
+                        self.get_now(),
+                        user.user,
+                    ),
+                )
+                return
+
+            await db.execute(
+                "INSERT INTO users (user, access_token, refresh_token, expires_at, last_updated_at) VALUES (?,?,?,?,?)",
+                (
+                    user.user,
+                    user.twitch_auth.access_token,
+                    user.twitch_auth.refresh_token,
+                    user.expires_at,
+                    self.get_now(),
+                ),
+            )
+
+    async def save_quote(self, channel: str, quote: str, author: str, auto_commit=True):
+        async with self.get_client(auto_commit=auto_commit) as db:
+            await db.execute(
+                "INSERT INTO quotes (channel, quote, author) VALUES (?,?,?)",
+                (channel, quote, author),
+            )
+
+    async def save_chatbot_settings(
+            self, user: User, chatbot_settings: ChatbotSettings, auto_commit: bool = True
+    ):
+        async with self.get_client(auto_commit=auto_commit) as db:
+            current_settings = await self.get_chatbot_settings(user)
+            if current_settings:
+                await db.execute(
+                    """UPDATE settings SET
+                automatic_generation_timer = ?,
+                automatic_quote_timer = ?,
+                mods = ?,
+                last_updated_at = ?
+                WHERE user_id = ?
+                """,
+                    (
+                        chatbot_settings.automatic_generation_timer,
+                        chatbot_settings.automatic_quote_timer,
+                        chatbot_settings.mods_as_string,
+                        self.get_now(),
+                        user.user,
+                    ),
+                )
+                return
+
+            await db.execute(
+                """INSERT INTO settings (
+                user_id,
+                automatic_generation_timer,
+                automatic_quote_timer,
+                mods,
+                created_at,
+                last_updated_at
+            ) VALUES(?,?,?,?,?,?)
+            """,
+                (
+                    user.user,
+                    chatbot_settings.automatic_generation_timer,
+                    chatbot_settings.automatic_quote_timer,
+                    chatbot_settings.mods_as_string,
+                    self.get_now(),
+                    self.get_now(),
+                ),
+            )
+
+    async def get_chatbot_settings(self, user: User) -> ChatbotSettings | None:
+        async with self.get_client() as db:
+            db.row_factory = aiosqlite.Row
+            async with db.execute(
+                    "SELECT * FROM settings WHERE user_id = ?", (user.user,)
+            ) as cursor:
+                result = await cursor.fetchone()
+        if not result:
+            return None
+        return ChatbotSettings(**dict(result))
+
+    async def save_sentence(self, sentence: str, auto_commit=True):
+        async with self.get_client(auto_commit=auto_commit) as db:
+            await db.execute(
+                "INSERT INTO sentences (sentence) VALUES (?)",
+                (sentence,),
+            )
+            await db.commit()
+
+    async def get_random_quote(self, channel_name: str):
+        async with self.get_client() as db:
+            async with db.execute(
+                    "SELECT quote, author FROM quotes WHERE channel = ? ORDER BY RANDOM() LIMIT 1",
+                    (channel_name,),
+            ) as cursor:
+                result = await cursor.fetchone()
+            return result

src/huesoporro/libs/markov_chain_bot.py

@@ -1,543 +0,0 @@
-import string
-import time
-from enum import StrEnum
-
-from loguru import logger
-from nltk.tokenize import sent_tokenize
-from TwitchWebsocket import Message, TwitchWebsocket
-
-from src.huesoporro.libs.db import Database
-from src.huesoporro.libs.settings import Settings
-from src.huesoporro.libs.timer import LoopingTimer
-from src.huesoporro.libs.tokenizer import detokenize, tokenize
-
-
-class Commands(StrEnum):
-    SET_COOLDOWN = "!setcd"
-    GENERATE = "!g"
-    BLACKLIST = "!blacklist"
-    GENERATE_HELP = "!ghelp"
-    QUOTE = "!q"
-    QUOTE_ADD = "!qadd"
-
-
-class MarkovChain:
-    end_tag = "<END>"
-
-    def __init__(self, settings: Settings | None = None):
-        self.s = settings or Settings.read()
-        self.prev_message_t = 0.0
-        self._enabled = True
-
-        self.db = Database(self.s.channel_name)
-
-        if self.s.help_message_timer > 0:
-            if self.s.help_message_timer < 300:  # noqa: PLR2004
-                raise ValueError(
-                    'Value for "HelpMessageTimer" in must be at least 300 seconds, '  # noqa: EM101
-                    "or a negative number for no help messages.",
-                )
-            t = LoopingTimer(self.s.help_message_timer, self._command_help)
-            t.start()
-
-        # Set up daemon Timer to send automatic generation messages
-        if self.s.automatic_generation_timer > 0:
-            if self.s.automatic_generation_timer < 30:  # noqa: PLR2004
-                raise ValueError(
-                    'Value for "Automatic_generation_message" must be at least 30 seconds, or a negative number for no '  # noqa: EM101
-                    "automatic generations.",
-                )
-            logger.info(
-                f"Automatic generation enabled, will send messages every {self.s.automatic_generation_timer} seconds"
-            )
-            t = LoopingTimer(
-                self.s.automatic_generation_timer,
-                self._command_automatic_generation,
-            )
-            t.start()
-
-        self.ws = TwitchWebsocket(
-            host=self.s.host,
-            port=self.s.port,
-            chan=self.s.channel_name,
-            nick=self.s.nickname,
-            auth=self.s.authentication,
-            callback=self.message_handler,
-            capability=["commands", "tags"],
-            live=True,
-        )
-
-    def run_bot(self):
-        self.ws.start_nonblocking()
-
-    def stop_bot(self):
-        self.ws.leave_channel(self.s.channel_name)
-        self.ws.stop()
-        logger.info("Stopped bot")
-
-    def _command_help(self) -> None:
-        """Send a Help message to the connected chat, as long as the bot wasn't disabled."""
-        if self._enabled:
-            logger.info("Help message sent.")
-            try:
-                self.ws.send_message(
-                    "Learn how this bot generates sentences here: https://github.com/CubieDev/TwitchMarkovChain#how-it-works",
-                )
-            except OSError as error:
-                logger.warning(
-                    f"[OSError: {error}] upon sending help message. Ignoring.",
-                )
-
-    def _command_set_cooldown(self, username: str, split_message: list[str]):
-        if len(split_message) == 2:  # noqa: PLR2004
-            try:
-                cooldown = int(split_message[1])
-            except ValueError:
-                self.ws.send_whisper(
-                    username,
-                    "The parameter must be an integer amount, eg: !setcd 30",
-                )
-                return
-            self.s.cooldown = cooldown
-            self.s.write()
-            self.ws.send_whisper(
-                username,
-                f"The !generate cooldown has been set to {cooldown} seconds.",
-            )
-
-    def _command_blacklist(self, username: str, split_message: list[str]):
-        if len(split_message) == 2:  # noqa: PLR2004
-            try:
-                blacklisted_username = split_message[1]
-            except ValueError:
-                self.ws.send_whisper(
-                    username,
-                    "The parameter must be a username, eg: !blacklist ibai",
-                )
-                return
-            self.s.denied_users.append(blacklisted_username)
-            self.s.write()
-
-    def _command_generate(self, username: str, message: str):
-        cur_time = time.time()
-        if self.prev_message_t + self.s.cooldown >= cur_time:
-            if not self.db.check_whisper_ignore(username):
-                self.send_whisper(
-                    username,
-                    f"Cooldown hit: {self.prev_message_t + self.s.cooldown - cur_time:0.2f} out of {self.s.cooldown:.0f}s remaining. !nopm to stop these cooldown pm's.",
-                )
-            logger.info(
-                f"Cooldown hit with {self.prev_message_t + self.s.cooldown - cur_time:0.2f}s remaining.",
-            )
-        params = tokenize(message)[2:] if self.s.allow_generate_params else None
-        # Generate an actual sentence
-        sentence, success = self.generate(params)
-        if success:
-            # Reset cooldown if a message was actually generated
-            self.prev_message_t = time.time()
-        logger.info(sentence)
-        self.ws.send_message(sentence)
-
-        self.store_sentence(message)
-
-    def _command_automatic_generation(self) -> None:
-        """Send an automatic generation message to the connected chat.
-
-        As long as the bot wasn't disabled, just like if someone typed "!g" in chat.
-        """
-        if self._enabled:
-            logger.debug("Automatically generating message")
-            sentence, success = self.generate()
-            if success:
-                logger.info(
-                    f"Created '{sentence}'. Cooling down for {self.s.automatic_generation_timer} seconds before regenerating",
-                )
-                try:
-                    self.ws.send_message(sentence)
-                except OSError as error:
-                    logger.warning(
-                        f"[OSError: {error}] upon sending automatic generation message. Ignoring.",
-                    )
-            else:
-                logger.info(
-                    "Attempted to output automatic generation message, but there is not enough learned information yet.",
-                )
-
-    def _command_quote(self):
-        """Retrieve a random quote from the `quotes` table and format it as
-
-        > «<quote>» - <author>
-        """
-        data = self.db.execute(
-            "SELECT quote, author FROM quotes ORDER BY RANDOM() LIMIT 1;", fetch=True
-        )
-        if data:
-            data = data[0]
-            quote, author = data[0], data[1]
-            self.ws.send_message(f"«{quote}» - {author}")
-
-    def _command_add_quote(self, message: str):
-        """Add a quote to the quotes table. The message should follow the format:
-
-        !qadd quote author
-
-        The last word will be parsed as the author and anything in between !qadd and the author will be considered
-        as the quote itself
-        """
-        # Split the message into quote and author
-        parts = message.split()
-        author = parts[-1]
-        quote = " ".join(parts[1:-1])
-
-        data = self.db.execute(
-            "SELECT 1 FROM quotes WHERE quote = ?", (quote,), fetch=True
-        )
-        if data:
-            self.ws.send_message(f"Quote «{quote}» was already added.")
-            return
-
-        self.db.execute(
-            "INSERT INTO quotes (quote, author) VALUES (?, ?)",
-            (quote, author),  # type: ignore[arg-type]
-        )
-        self.ws.send_message(f"Quote «{quote}» by {author} added.")
-
-    def store_sentence(self, message: str):
-        logger.info(f"Processing {message} in order to store it")
-        stripped_message = message.strip()
-        try:
-            sentences = sent_tokenize(stripped_message)
-        except LookupError:
-            logger.debug("Downloading required punkt resource...")
-            import nltk
-
-            nltk.download("punkt")
-            logger.debug("Downloaded required punkt resource.")
-            sentences = sent_tokenize(stripped_message)
-
-        for sentence in sentences:
-            words = tokenize(sentence)
-            # Double spaces will lead to invalid rules. We remove empty words here
-            if "" in words:
-                words = [word for word in words if word]
-
-            # If the sentence is too short, ignore it and move on to the next.
-            if len(words) <= self.s.key_length:
-                continue
-
-            # Add a new starting point for a sentence to the <START>
-            words = [words[x] for x in range(self.s.key_length)]
-            logger.debug(f"Adding {words} to start queue")
-            self.db.add_start_queue(words)
-
-            # Create Key variable which will be used as a key in the Dictionary for the grammar
-            key: list[str] = []
-            for word in words:
-                # Set up key for first use
-                if len(key) < self.s.key_length:
-                    key.append(word)
-                    continue
-                logger.debug(f"Adding {key}[{word}] to rule queue")
-                self.db.add_rule_queue([*key, word])
-
-                # Remove the first word, and add the current word,
-                # so that the key is correct for the next word.
-                key.pop(0)
-                key.append(word)
-            logger.debug(f"Adding {key} to rule queue")
-            # Add <END> at the end of the sentence
-            self.db.add_rule_queue([*key, self.end_tag])
-
-    def message_handler(self, message: Message):  # noqa: C901, PLR0911, PLR0912
-        try:
-            """
-            tts_message = {
-                "badge-info": "subscriber/4",
-                "badges": "vip/1,subscriber/3,sub-gifter/5",
-                "color": "#F79AC6",
-                "custom-reward-id": "8c454446-73b0-480f-946e-d6b5f5c5e331",
-                "display-name": "robosap1ens__",
-                "emotes": "",
-                "first-msg": "0",
-                "flags": "",
-                "id": "6cbd37eb-49ae-41f5-b073-345275c91a07",
-                "mod": "0",
-                "returning-chatter": "0",
-                "room-id": "600944302",
-                "subscriber": "1",
-                "tmi-sent-ts": "1733252657689",
-                "turbo": "0",
-                "user-id": "713968248",
-                "user-type": "",
-                "vip": "1",
-            }
-            """
-            if not message.user or message.user in self.s.denied_users:
-                logger.debug(f"User {message.user} can't send messages")
-                return
-
-            msgs = message.message.split()
-            if not msgs:
-                logger.debug("Message is empty")
-                return
-
-            if "bits" in message.tags:
-                return
-
-            if "emotes" in message.tags:
-                # Replace modified emotes with normal versions,
-                # as the bot will never have the modified emotes unlocked at the time.
-                for modifier in self.extract_modifiers(message.tags["emotes"]):
-                    message.message = message.message.replace(modifier, "")
-
-            logger.debug(f"Received {msgs[0]} command from {message.user}")
-            match msgs[0]:
-                case Commands.GENERATE_HELP:
-                    logger.debug("Executing _command_help()")
-                    self._command_help()
-
-                case Commands.SET_COOLDOWN:
-                    if self.is_mod(message.user, message.channel):
-                        logger.debug(
-                            f"User {message.user} is mod, executing _command_set_cooldown()",
-                        )
-                        self._command_set_cooldown(
-                            split_message=msgs,
-                            username=message.user,
-                        )
-
-                case Commands.BLACKLIST:
-                    if self.is_mod(message.user, message.channel):
-                        logger.debug(
-                            f"User {message.user} is a mod, executing _command_blacklist()",
-                        )
-                        self._command_blacklist(
-                            split_message=msgs,
-                            username=message.user,
-                        )
-
-                case Commands.GENERATE:
-                    if not self._enabled:
-                        logger.info("Bot not enabled, skipping")
-                        return
-                    if message.user not in self.s.denied_users:
-                        logger.info(
-                            f"User {message.user} allowed to generate, executing _command_generate()",
-                        )
-                    self._command_generate(
-                        message=message.message,
-                        username=message.user,
-                    )
-
-                case Commands.QUOTE:
-                    if not self._enabled:
-                        logger.info("Bot not enabled, skipping")
-                        return
-                    if message.user not in self.s.denied_users:
-                        logger.info(
-                            f"User {message.user} allowed to generate, executing _command_quote()",
-                        )
-                    self._command_quote()
-
-                case Commands.QUOTE_ADD:
-                    if self.is_mod(message.user, message.channel):
-                        logger.info(
-                            f"User {message.user} allowed to create quote, executing _command_quote()",
-                        )
-                        self._command_add_quote(message.message)
-                        return
-                    self.ws.send_message(
-                        f"@{message.user} you're not in the modlist, you can't add quotes"
-                    )
-
-                case _:
-                    logger.debug(
-                        f"Not a command: {msgs[0]}. Storing into db as a plain message",
-                    )
-                    if message.type == "366":
-                        logger.info(f"Successfully joined channel: #{message.channel}")
-                        return
-                    self.store_sentence(message.message)
-
-        except Exception:  # noqa: BLE001
-            logger.exception(f"Could not process message {message}")
-
-    def generate(self, params: list[str] | None = None) -> tuple[str, bool]:  # noqa: C901, PLR0912
-        """Given an input sentence, generate the remainder of the sentence using the learned data.
-
-        Args:
-            params (list[str]): A list of words to use as an input to use as the start of generating.
-
-        Returns:
-            tuple[str, bool]: A tuple of a sentence as the first value, and a boolean indicating
-                whether the generation succeeded as the second value.
-        """
-        params = params or []
-
-        # List of sentences that will be generated. In some cases, multiple sentences will be generated,
-        # e.g. when the first sentence has less words than self.min_sentence_length.
-        sentences: list[list | list[str]] = [[]]
-
-        # Check for commands or recursion, eg: !generate !generate
-        if len(params) > 0 and self.is_command(params[0]):
-            return "You can't make me do commands, you madman!", False
-
-        # Get the starting key and starting sentence.
-        # If there is more than 1 param, get the last 2 as the key.
-        # Note that self.s.key_length is fixed to 2 in this implementation
-        if len(params) > 1:
-            key = params[-self.s.key_length :]
-            # Copy the entire params for the sentence
-            sentences[0] = params.copy()
-
-        elif len(params) == 1:
-            # First we try to find if this word was once used as the first word in a sentence:
-            key = self.db.get_next_single_start(params[0])  # type: ignore[assignment]
-            if key is None:
-                # If this failed, we try to find the next word in the grammar as a whole
-                key = self.db.get_next_single_initial(0, params[0])
-                if key is None:
-                    # Return a message that this word hasn't been learned yet
-                    return f'I haven\'t extracted "{params[0]}" from chat yet.', False
-            # Copy this for the sentence
-            sentences[0] = key.copy()
-
-        else:  # if there are no params
-            # Get starting key
-            key = self.db.get_start()
-            if key:
-                # Copy this for the sentence
-                sentences[0] = key.copy()
-            else:
-                # If nothing's ever been said
-                return "There is not enough learned information yet.", False
-
-        # Counter to prevent infinite loops (i.e. constantly generating <END> while below the
-        # minimum number of words to generate)
-        i = 0
-        while (
-            self.get_sentence_length(sentences) < self.s.max_sentence_length
-            and i < self.s.max_sentence_length * 2
-        ):
-            # Use key to get next word
-            if i == 0:
-                # Prevent fetching <END> on the first word
-                word = self.db.get_next_initial(i, key)
-            else:
-                word = self.db.get_next(i, key)
-
-            i += 1
-
-            if word == "<END>" or word is None:
-                # Break, unless we are before the min_sentence_length
-                if i < self.s.min_sentence_length:
-                    key = self.db.get_start()
-                    # Ensure that the key can be generated. Otherwise, we still stop.
-                    if key:
-                        # Start a new sentence
-                        sentences.append([])
-                        for entry in key:
-                            sentences[-1].append(entry)
-                        continue
-                break
-
-            # Otherwise add the word
-            sentences[-1].append(word)
-
-            # Shift the key so on the next iteration it gets the next item
-            key.pop(0)
-            key.append(word)
-
-        # If there were params, but the sentence resulting is identical to the params
-        # Then the params did not result in an actual sentence
-        # If so, restart without params
-        if len(params) > 0 and params == sentences[0]:
-            return "I haven't learned what to do with \"" + detokenize(
-                params[-self.s.key_length :],
-            ) + '" yet.', False
-
-        return self.s.sentence_separator.join(
-            detokenize(sentence) for sentence in sentences
-        ), True
-
-    @staticmethod
-    def get_sentence_length(sentences: list[list[str]]) -> int:
-        """Given a list of tokens representing a sentence, return the number of words in there.
-
-        Args:
-            sentences (List[List[str]]): List of lists of tokens that make up a sentence,
-                where a token is a word or punctuation. For example:
-                [['Hello', ',', 'you', "'re", 'Tom', '!'], ['Yes', ',', 'I', 'am', '.']]
-                This would return 6.
-
-        Returns:
-            int: The number of words in the sentence.
-        """
-        count = 0
-        for sentence in sentences:
-            for token in sentence:
-                if token not in string.punctuation and token[0] != "'":
-                    count += 1
-        return count
-
-    @staticmethod
-    def extract_modifiers(emotes: str) -> list[str]:
-        """Extract emote modifiers from emotes such as the horizontal flip.
-
-        Args:
-            emotes (str): String containing all emotes used in the message.
-
-        Returns:
-            list[str]: List of strings that show modifiers, such as "_HZ" for horizontal flip.
-        """
-        output = []
-        try:
-            while emotes:
-                u_index = emotes.index("_")
-                c_index = emotes.index(":", u_index)
-                output.append(emotes[u_index:c_index])
-                emotes = emotes[c_index:]
-        except ValueError:
-            pass
-        return output
-
-    def send_whisper(self, user: str, message: str) -> None:
-        """Optionally send a whisper, only if "WhisperCooldown" is True.
-
-        Args:
-            user (str): The user to potentially whisper.
-            message (str): The message to potentially whisper
-        """
-        if self.s.whisper_cooldown:
-            self.ws.send_whisper(user, message)
-
-    @staticmethod
-    def is_command(message: str) -> bool:
-        """True if the message is any command, except /me.
-
-        Is used to avoid learning and generating commands.
-
-        Args:
-            message (str): The message to check.
-
-        Returns:
-            bool: True if the message is any potential command (starts with a '!', '/' or '.')
-                except /me.
-        """
-        return message in list(Commands)
-
-    def is_mod(self, username: str, channel: str) -> bool:
-        """True if the user is a moderator.
-
-        Args:
-            username (str): The name of the user to check
-            channel (str): The name of the channel
-
-        Returns:
-            bool: True if the user is a moderator.
-        """
-        return username in self.s.mods or username == channel
-
-
-if __name__ == "__main__":
-    MarkovChain()

src/huesoporro/libs/settings.py

@@ -1,118 +0,0 @@
-import json
-from pathlib import Path
-from typing import Literal
-
-import platformdirs
-from loguru import logger
-from pydantic import Field
-from pydantic_settings import BaseSettings, SettingsConfigDict
-
-
-class Settings(BaseSettings):
-    host: str = Field("irc.chat.twitch.tv", alias="Host", serialization_alias="Host")
-    port: int = Field(6667, alias="Port", serialization_alias="Port")
-    channel: str = Field(..., alias="Channel", serialization_alias="Channel")
-    nickname: str = Field(..., alias="Nickname", serialization_alias="Nickname")
-    authentication: str = Field(
-        ...,
-        alias="Authentication",
-        serialization_alias="Authentication",
-    )
-    denied_users: list[str] = Field(
-        [
-            "StreamElements",
-            "Nightbot",
-            "Moobot",
-            "Marbiebot",
-        ],
-        alias="DeniedUsers",
-        serialization_alias="DeniedUsers",
-    )
-    banned_words: list[str] = Field(
-        default_factory=list,
-        alias="BannedWords",
-        serialization_alias="BannedWords",
-    )
-    mods: list[str] = Field(
-        default_factory=list,
-        alias="Mods",
-        serialization_alias="Mods",
-    )
-    cooldown: int = Field(210, alias="Cooldown", serialization_alias="Cooldown")
-    key_length: int = Field(2, alias="KeyLength", serialization_alias="KeyLength")
-    max_sentence_length: int = Field(
-        25,
-        alias="MaxSentenceWordAmount",
-        serialization_alias="MaxSentenceWordAmount",
-    )
-    min_sentence_length: int = Field(
-        -1,
-        alias="MinSentenceWordAmount",
-        serialization_alias="MinSentenceWordAmount",
-    )
-    help_message_timer: int = Field(
-        60 * 60 * 5,
-        alias="HelpMessageTimer",
-        serialization_alias="HelpMessageTimer",
-    )
-    automatic_generation_timer: int = Field(
-        -1,
-        alias="AutomaticGenerationTimer",
-        serialization_alias="AutomaticGenerationTimer",
-    )
-    whisper_cooldown: bool = Field(
-        True,
-        alias="WhisperCooldown",
-        serialization_alias="WhisperCooldown",
-    )
-    enable_generate_command: bool = Field(
-        True,
-        alias="EnableGenerateCommand",
-        serialization_alias="EnableGenerateCommand",
-    )
-    sentence_separator: str = Field(
-        " - ",
-        alias="SentenceSeparator",
-        serialization_alias="SentenceSeparator",
-    )
-    allow_generate_params: bool = Field(
-        True,
-        alias="AllowGenerateParams",
-        serialization_alias="AllowGenerateParams",
-    )
-    log_level: Literal[
-        "CRITICAL",
-        "ERROR",
-        "WARNING",
-        "INFO",
-        "DEBUG",
-        "TRACE",
-    ] = Field("DEBUG", alias="LogLevel")
-    model_config = SettingsConfigDict(extra="ignore")
-
-    @property
-    def channel_name(self):
-        return self.channel.replace("#", "").lower()
-
-    @classmethod
-    def read(cls, filepath: Path | None = None) -> "Settings":
-        if not filepath:
-            filepath = (
-                platformdirs.user_config_path("markovbot_gui", ensure_exists=True)
-                / "settings.json"
-            )
-
-        with filepath.open("r") as f:
-            data = json.load(f)
-            return Settings(**data)
-
-    def write(self, filepath: Path | None = None):
-        if not filepath:
-            filepath = (
-                platformdirs.user_config_path("markovbot_gui", ensure_exists=True)
-                / "settings.json"
-            )
-
-        with filepath.open("w") as f:
-            logger.info(f"Writing current settings to {filepath}")
-            json.dump(self.model_dump(by_alias=True), f, indent=4)

src/huesoporro/main.py

@@ -1,248 +1,7 @@
-import json
-import secrets
-from json import JSONDecodeError
-
-import httpx
 import uvicorn
-from litestar import Litestar, MediaType, Request, Response, WebSocket, get
-from litestar.connection import ASGIConnection
-from litestar.contrib.jinja import JinjaTemplateEngine
-from litestar.datastructures.state import State
-from litestar.di import Provide
-from litestar.exceptions import HTTPException
-from litestar.handlers import BaseRouteHandler, WebsocketListener
-from litestar.response import Redirect, Template
-from litestar.static_files import StaticFilesConfig
-from litestar.status_codes import HTTP_500_INTERNAL_SERVER_ERROR
-from litestar.template import TemplateConfig
-from loguru import logger
 
-from src.huesoporro.chatbot import ChatbotManager
+from src.huesoporro.api.main import create_app
 from src.huesoporro.settings import Settings
-from src.huesoporro.tts import TTSManager
-from src.huesoporro.value_objects import WebsocketCommands, WebsocketMessage
-
-
-async def _authenticate(access_token: str):
-    s = Settings.get()
-    client = httpx.AsyncClient(
-        base_url="https://id.twitch.tv",
-    )
-
-    resp = await client.get(
-        "/oauth2/validate", headers={"Authorization": f"OAuth {access_token}"}
-    )
-    user_data = resp.json()
-
-    if user_data.get("status"):
-        raise HTTPException(status_code=401, detail="Unauthorized")
-
-    if (user := user_data["login"]) not in s.allowed_users:
-        raise HTTPException(status_code=403, detail="Forbidden")
-
-    return user
-
-
-async def authenticate(
-    connection: ASGIConnection, route_handler: BaseRouteHandler
-) -> None:
-    """Extract cookie from connection and try to authenticate"""
-
-    try:
-        login_data = json.loads(connection.cookies.get("twitchLoginData"))
-    except (JSONDecodeError, TypeError) as exc:
-        logger.warning(f"Error parsing twitch login data: {exc}")
-        raise HTTPException(status_code=401, detail="Unauthorized") from exc
-
-    access_token = login_data.get("access_token")
-    if not login_data or not access_token:
-        raise HTTPException(status_code=401, detail="Unauthorized")
-
-    user = await _authenticate(access_token)
-
-    connection.state["user"] = user
-    connection.state["access_token"] = access_token
-
-
-class WebsocketHandler(WebsocketListener):
-    path = "/ws"
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-        self.tts_manager = TTSManager()
-        self.chatbot_manager = ChatbotManager()
-        self.user = None
-        self.access_token = None
-
-    async def on_accept(self, socket: WebSocket, state: State) -> None:
-        """If the authentication is correct, add the manager's clients list"""
-
-        cookies = socket.cookies.get("twitchLoginData")
-        try:
-            access_token = json.loads(cookies).get("access_token")
-        except (JSONDecodeError, TypeError) as exc:
-            logger.warning(f"Error parsing twitch login data {exc}")
-            return
-        if not access_token:
-            return
-        user = await _authenticate(access_token)
-
-        self.user = user
-        self.access_token = access_token
-        self.chatbot_manager.clients.add(socket)
-        self.tts_manager.clients.append(socket)
-
-        logger.info(
-            f"Connection accepted from {socket.client.host}:{socket.client.port}"  # type: ignore[union-attr]
-        )
-
-    async def on_disconnect(self, socket: WebSocket) -> None:
-        # Remove client from the list
-        if socket in self.tts_manager.clients:
-            self.tts_manager.clients.remove(socket)
-            self.chatbot_manager.clients.remove(socket)
-        logger.info(f"Connection closed by {socket.client.host}:{socket.client.port}")  # type: ignore[union-attr]
-
-    async def on_receive(self, data: str, state: State) -> None:
-        message = WebsocketMessage(**json.loads(data))
-        logger.info(f"Received {message.command.value} command")
-
-        match message.command:
-            case WebsocketCommands.TTS_SEND:
-                await self.tts_manager.add_to_queue(**message.data)
-            case WebsocketCommands.CHATBOT_START:
-                self.chatbot_manager.start_bot(
-                    **message.data
-                    | {
-                        "nickname": self.user,
-                        "authentication": f"oauth:{self.access_token}",
-                    },
-                )
-            case WebsocketCommands.CHATBOT_STOP:
-                self.chatbot_manager.stop_bot()
-
-
-@get(
-    "/tts",
-    media_type=MediaType.HTML,
-    guards=[authenticate],
-)
-async def get_tts_overlay() -> Template:
-    return Template(template_name="tts.html")
-
-
-@get(
-    "/tts/permalink",
-    media_type=MediaType.HTML,
-)
-async def get_tts_permalink(access_token: str) -> Template:
-    """Handler for the /tts permalink endpoint to be used by apps that can only give the authentication as a query
-    param and not as a cookie, i.e. OBS"""
-
-    # authenticate the user using the provided access token
-    await _authenticate(access_token)
-
-    return Template(
-        template_name="tts.html",
-    )
-
-
-@get(
-    "/",
-    media_type=MediaType.HTML,
-    guards=[authenticate],
-)
-async def get_index() -> Template:
-    return Template(
-        template_name="index.html",
-    )
-
-
-@get("/login", media_type=MediaType.HTML, dependencies={"s": Provide(Settings.get)})
-async def login(s: Settings) -> Template:
-    scopes = "+".join(s.twitch_scopes)
-    return Template(
-        "login.html",
-        context={
-            "twitch_login_url": "https://id.twitch.tv/oauth2/authorize?response_type=token"
-            f"&client_id={s.twitch_client_id}"
-            f"&redirect_uri={s.server_hostname}login"
-            f"&scope={scopes}"
-            f"&state={secrets.token_urlsafe(32)}"
-        },
-    )
-
-
-@get("/healthz")
-def get_health() -> dict:
-    return {"status": "ok"}
-
-
-@get("/lefunny")
-def get_lefunny() -> Template:
-    return Template(
-        template_name="lefunny.html",
-        context={"sentences": [{"sentence": "Hola huesoperro", "id": 1}]},
-    )
-
-
-def exception_handler(_: Request, exc: Exception) -> Response:
-    status_code = getattr(exc, "status_code", HTTP_500_INTERNAL_SERVER_ERROR)
-    detail = getattr(exc, "detail", "")
-
-    if isinstance(exc, HTTPException) and (exc.status_code in [401, 403]):
-        logger.warning("User could not authenticate. Redirecting to /login page")
-        return Redirect("/login")
-
-    return Response(
-        media_type=MediaType.TEXT,
-        content=detail,
-        status_code=status_code,
-    )
-
-
-async def after_exception_handler(exc: Exception, scope: "Scope") -> None:
-    """Hook function that will be invoked after each exception."""
-    state = scope["app"].state
-    if not hasattr(state, "error_count"):
-        state.error_count = 1
-    else:
-        state.error_count += 1
-
-    logger.error(
-        f"an exception of type {type(exc).__name__} has occurred for requested path {scope['path']} and the application error count is {state.error_count}.",
-    )
-
-
-def create_app():
-    return Litestar(
-        route_handlers=[
-            get_health,
-            login,
-            get_index,
-            get_tts_overlay,
-            get_tts_permalink,
-            get_lefunny,
-            WebsocketHandler,
-        ],
-        static_files_config=(
-            StaticFilesConfig(
-                path="/tts_files",
-                directories=[Settings.get().tts_cache_path],
-            ),
-            StaticFilesConfig(
-                path="static",
-                directories=[Settings.get().static_files_path],
-            ),
-        ),
-        template_config=TemplateConfig(
-            directory=Settings.get().templates_files_path,
-            engine=JinjaTemplateEngine,
-        ),
-        exception_handlers={HTTPException: exception_handler},
-        after_exception=[after_exception_handler],
-    )
-
 
 if __name__ == "__main__":
     settings = Settings.get()

src/huesoporro/models.py

@@ -0,0 +1,50 @@
+from typing import Self
+
+import jwt
+from pydantic import BaseModel, field_validator
+
+from src.huesoporro.settings import Settings
+
+
+class TwitchAuth(BaseModel):
+    access_token: str
+    refresh_token: str
+
+
+class User(BaseModel):
+    user: str
+    expires_at: float
+    twitch_auth: TwitchAuth
+
+    def encode(self, settings: Settings | None = None) -> str:
+        s = settings or Settings.get()
+        return jwt.encode(
+            self.model_dump(),
+            key=s.jwt_secret.get_secret_value(),
+            algorithm="HS256",
+        )
+
+    @classmethod
+    def decode(cls, token: str, settings: Settings | None = None) -> Self:
+        s = settings or Settings.get()
+        decoded = jwt.decode(
+            token, key=s.jwt_secret.get_secret_value(), algorithms=["HS256"]
+        )
+        return cls(**decoded)
+
+
+class ChatbotSettings(BaseModel):
+    automatic_generation_timer: int = 300
+    automatic_quote_timer: int = 500
+    mods: list[str] | None = None
+
+    @property
+    def mods_as_string(self):
+        return ",".join(self.mods)
+
+    @field_validator("mods", mode="before")
+    @classmethod
+    def format_mods_from_string(cls, v):
+        if isinstance(v, str):
+            return v.split(",")
+        return v

src/huesoporro/settings.py

@@ -1,7 +1,7 @@
 from functools import lru_cache
 from pathlib import Path
 
-from pydantic import Field, HttpUrl, field_validator
+from pydantic import Field, HttpUrl, SecretStr, field_validator
 from pydantic_settings import BaseSettings
 
 
@@ -21,6 +21,8 @@ class Settings(BaseSettings):
         default_factory=lambda: Path(__file__).parent / "huesoporro.db"
     )
     twitch_client_id: str
+    twitch_client_secret: SecretStr
+    jwt_secret: SecretStr
     twitch_scopes: list[str] = Field(
         default_factory=lambda: ["channel:bot", "chat:edit", "chat:read"]
     )

src/huesoporro/svc/authenticate.py

@@ -0,0 +1,26 @@
+import datetime
+
+from pydantic import BaseModel
+
+from src.huesoporro.infra.authenticator import TwitchAuthenticator
+from src.huesoporro.infra.db import Database
+from src.huesoporro.models import User
+
+
+class CodeAuthenticatorSvc(BaseModel):
+    db: Database
+    authenticator: TwitchAuthenticator
+
+    @staticmethod
+    def get_four_hours_from_now() -> float:
+        now = datetime.datetime.now(datetime.UTC)
+        four_hours_later = now + datetime.timedelta(hours=4)
+        return four_hours_later.timestamp()
+
+    async def run(self, code: str) -> User:
+        auth = await self.authenticator.get_token(code)
+        username = await self.authenticator.validate_token(auth.access_token)
+        expires_at = self.get_four_hours_from_now()
+        user = User(user=username, expires_at=expires_at, twitch_auth=auth)
+        await self.db.save_user(user)
+        return user

src/huesoporro/svc/generate.py

@@ -0,0 +1,158 @@
+import string
+
+from loguru import logger
+from pydantic import BaseModel, ConfigDict
+
+from src.huesoporro.libs.db import Database as MarkovDB
+from src.huesoporro.libs.tokenizer import detokenize, tokenize
+
+
+class SentenceGeneratorSvc(BaseModel):
+    db: MarkovDB
+    min_sentence_length: int = 2
+    key_length: int = 2
+    max_sentence_length: int = 25
+    sentence_separator: str = " "
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+
+    def is_mod(self, username: str, channel: str) -> bool:
+        """True if the user is a moderator.
+
+        Args:
+            username (str): The name of the user to check
+            channel (str): The name of the channel
+
+        Returns:
+            bool: True if the user is a moderator.
+        """
+        return username in self.s.mods or username == channel
+
+    @staticmethod
+    def get_sentence_length(sentences: list[list[str]]) -> int:
+        """Given a list of tokens representing a sentence, return the number of words in there.
+
+        Args:
+            sentences (List[List[str]]): List of lists of tokens that make up a sentence,
+                where a token is a word or punctuation. For example:
+                [['Hello', ',', 'you', "'re", 'Tom', '!'], ['Yes', ',', 'I', 'am', '.']]
+                This would return 6.
+
+        Returns:
+            int: The number of words in the sentence.
+        """
+        count = 0
+        for sentence in sentences:
+            for token in sentence:
+                if token not in string.punctuation and token[0] != "'":
+                    count += 1
+        return count
+
+    def generate(self, params: list[str] | None = None) -> tuple[str, bool]:  # noqa: C901, PLR0912
+        """Given an input sentence, generate the remainder of the sentence using the learned data.
+
+        Args:
+            params (list[str]): A list of words to use as an input to use as the start of generating.
+
+        Returns:
+            tuple[str, bool]: A tuple of a sentence as the first value, and a boolean indicating
+                whether the generation succeeded as the second value.
+        """
+        params = params or []
+
+        # List of sentences that will be generated. In some cases, multiple sentences will be generated,
+        # e.g. when the first sentence has fewer words than self.min_sentence_length.
+        sentences: list[list | list[str]] = [[]]
+
+        # Check for commands or recursion, eg: !generate !generate
+        if len(params) > 0:
+            return "You can't make me do commands, you madman!", False
+
+        # Get the starting key and starting sentence.
+        # If there is more than 1 param, get the last 2 as the key.
+        # Note that self.key_length is fixed to 2 in this implementation
+        if len(params) > 1:
+            key = params[-self.key_length :]
+            # Copy the entire params for the sentence
+            sentences[0] = params.copy()
+
+        elif len(params) == 1:
+            # First we try to find if this word was once used as the first word in a sentence:
+            key = self.db.get_next_single_start(params[0])  # type: ignore[assignment]
+            if key is None:
+                # If this failed, we try to find the next word in the grammar as a whole
+                key = self.db.get_next_single_initial(0, params[0])
+                if key is None:
+                    # Return a message that this word hasn't been learned yet
+                    return f'I haven\'t extracted "{params[0]}" from chat yet.', False
+            # Copy this for the sentence
+            sentences[0] = key.copy()
+
+        else:  # if there are no params
+            # Get starting key
+            key = self.db.get_start()
+            if key:
+                # Copy this for the sentence
+                sentences[0] = key.copy()
+            else:
+                # If nothing's ever been said
+                return "There is not enough learned information yet.", False
+
+        # Counter to prevent infinite loops (i.e. constantly generating <END> while below the
+        # minimum number of words to generate)
+        i = 0
+        while (
+            self.get_sentence_length(sentences) < self.max_sentence_length
+            and i < self.max_sentence_length * 2
+        ):
+            # Use key to get next word
+            if i == 0:
+                # Prevent fetching <END> on the first word
+                word = self.db.get_next_initial(i, key)
+            else:
+                word = self.db.get_next(i, key)
+
+            i += 1
+
+            if word == "<END>" or word is None:
+                # Break, unless we are before the min_sentence_length
+                if i < self.min_sentence_length:
+                    key = self.db.get_start()
+                    # Ensure that the key can be generated. Otherwise, we still stop.
+                    if key:
+                        # Start a new sentence
+                        sentences.append([])
+                        for entry in key:
+                            sentences[-1].append(entry)
+                        continue
+                break
+
+            # Otherwise add the word
+            sentences[-1].append(word)
+
+            # Shift the key so on the next iteration it gets the next item
+            key.pop(0)
+            key.append(word)
+
+        # If there were params, but the sentence resulting is identical to the params
+        # Then the params did not result in an actual sentence
+        # If so, restart without params
+        if len(params) > 0 and params == sentences[0]:
+            return "I haven't learned what to do with \"" + detokenize(
+                params[-self.key_length :],
+            ) + '" yet.', False
+
+        return self.sentence_separator.join(
+            detokenize(sentence) for sentence in sentences
+        ), True
+
+    async def run(
+        self,
+        sentence: str | None = None,
+    ) -> str|None:
+        if sentence:
+            sentence = tokenize(sentence)
+        logger.info(f"Generating sentence from {sentence}")
+        sentence, success = self.generate(sentence)
+        logger.info(f"Generated sentence: {sentence}")
+        if success:
+            return sentence

src/huesoporro/svc/get_chatbot_settings.py

@@ -0,0 +1,11 @@
+from pydantic import BaseModel
+
+from src.huesoporro.infra.db import Database
+from src.huesoporro.models import ChatbotSettings, User
+
+
+class ChatbotSettingsGetterSvc(BaseModel):
+    db: Database
+
+    async def run(self, user: User) -> ChatbotSettings | None:
+        return await self.db.get_chatbot_settings(user=user)

src/huesoporro/svc/get_random_quote.py

@@ -0,0 +1,10 @@
+from pydantic import BaseModel
+
+from src.huesoporro.infra.db import Database
+
+
+class RandomQuoteGetterSvc(BaseModel):
+    db: Database
+
+    async def run(self, channel_name: str) -> tuple[str, str]:
+        return await self.db.get_random_quote(channel_name=channel_name)

src/huesoporro/svc/hello.py

@@ -0,0 +1,10 @@
+import random
+
+from pydantic import BaseModel, Field
+
+
+class HelloGeneratorSvc(BaseModel):
+    hellos: list[str] = Field(default_factory=lambda: ["Hola", "Ayo", "Hi", "Bon día"])
+
+    def run(self, username: str):
+        return f"{random.choice(self.hellos)} {username}"

src/huesoporro/svc/is_mod.py

@@ -0,0 +1,12 @@
+from pydantic import BaseModel
+
+from src.huesoporro.infra.db import Database
+from src.huesoporro.models import User
+
+
+class IsModSvc(BaseModel):
+    db: Database
+
+    async def run(self, user: User, username: str) -> bool:
+        chatbot_settings = await self.db.get_chatbot_settings(user=user)
+        return username in chatbot_settings.mods

src/huesoporro/svc/refresh.py

@@ -0,0 +1,27 @@
+import datetime
+
+from pydantic import BaseModel
+
+from src.huesoporro.infra.authenticator import TwitchAuthenticator
+from src.huesoporro.infra.db import Database
+from src.huesoporro.models import User
+
+
+class RefreshTokenAuthenticator(BaseModel):
+    db: Database
+    authenticator: TwitchAuthenticator
+
+    @staticmethod
+    def get_four_hours_from_now() -> float:
+        now = datetime.datetime.now(datetime.UTC)
+        four_hours_later = now + datetime.timedelta(hours=4)
+        return four_hours_later.timestamp()
+
+    async def run(self, refresh_token: str) -> User:
+        auth = await self.authenticator.refresh_token(refresh_token)
+        username = await self.authenticator.validate_token(auth.access_token)
+        expires_at = self.get_four_hours_from_now()
+
+        user = User(user=username, expires_at=expires_at, twitch_auth=auth)
+        await self.db.save_user(user)
+        return user

src/huesoporro/svc/store.py

@@ -0,0 +1,63 @@
+from loguru import logger
+from nltk.tokenize import sent_tokenize
+from pydantic import BaseModel, ConfigDict
+
+from src.huesoporro.libs.db import Database as MarkovDB
+from src.huesoporro.libs.tokenizer import tokenize
+
+
+class SentenceStorerSvc(BaseModel):
+    db: MarkovDB
+    key_length: int = 2
+    end_tag: str = "<END>"
+
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+
+    def store_sentence(self, message: str):
+        logger.info(f"Processing {message} in order to store it")
+        stripped_message = message.strip()
+        try:
+            sentences = sent_tokenize(stripped_message)
+        except LookupError:
+            logger.debug("Downloading required punkt resource...")
+            import nltk
+
+            nltk.download("punkt")
+            logger.debug("Downloaded required punkt resource.")
+            sentences = sent_tokenize(stripped_message)
+
+        for sentence in sentences:
+            words = tokenize(sentence)
+            # Double spaces will lead to invalid rules. We remove empty words here
+            if "" in words:
+                words = [word for word in words if word]
+
+            # If the sentence is too short, ignore it and move on to the next.
+            if len(words) <= self.key_length:
+                continue
+
+            # Add a new starting point for a sentence to the <START>
+            words = [words[x] for x in range(self.key_length)]
+            logger.debug(f"Adding {words} to start queue")
+            self.db.add_start_queue(words)
+
+            # Create Key variable which will be used as a key in the Dictionary for the grammar
+            key: list[str] = []
+            for word in words:
+                # Set up key for first use
+                if len(key) < self.key_length:
+                    key.append(word)
+                    continue
+                logger.debug(f"Adding {key}[{word}] to rule queue")
+                self.db.add_rule_queue([*key, word])
+
+                # Remove the first word, and add the current word,
+                # so that the key is correct for the next word.
+                key.pop(0)
+                key.append(word)
+            logger.debug(f"Adding {key} to rule queue")
+            # Add <END> at the end of the sentence
+            self.db.add_rule_queue([*key, self.end_tag])
+
+    async def run(self, sentence: str):
+        return self.store_sentence(sentence)

src/huesoporro/svc/store_quote.py

@@ -0,0 +1,10 @@
+from pydantic import BaseModel
+
+from src.huesoporro.infra.db import Database
+
+
+class QuoteStorerSvc(BaseModel):
+    db: Database
+
+    async def run(self, channel: str, quote: str, author: str):
+        await self.db.save_quote(channel, quote, author)

src/huesoporro/svc/store_settings.py

@@ -0,0 +1,15 @@
+from pydantic import BaseModel
+
+from src.huesoporro.infra.db import Database
+from src.huesoporro.models import ChatbotSettings, User
+
+
+class ChatbotSettingsStorerSvc(BaseModel):
+    db: Database
+
+    async def run(
+        self, user: User, bot_settings: ChatbotSettings
+    ) -> dict[str, str | int | None] | None:
+        return await self.db.save_chatbot_settings(
+            user=user, chatbot_settings=bot_settings
+        )

src/huesoporro/templates/header.html

@@ -3,6 +3,7 @@
 
 <head>
     <link rel="stylesheet" href="/static/css/pico/pico.classless.min.css">
+    <link rel="stylesheet" href="/static/css/pico/pico.colors.min.css">
     <link rel="icon"
           href="data:image/svg+xml,<svg xmlns=%22http://www.w3.org/2000/svg%22 viewBox=%220 0 100 100%22><text y=%22.9em%22 font-size=%2290%22>🦴</text></svg>">
     <meta charset="utf-8">

src/huesoporro/templates/index.html

@@ -15,122 +15,69 @@
 </header>
 <main>
     <section>
-
         <form>
             <label for="channelName">Enter channel name:</label>
-            <input type="text" id="channelName" placeholder="#huesoperro" aria-describedby="channelNameValidHelper">
+            <input type="text" id="channelName" placeholder="huesoperro" aria-describedby="channelNameValidHelper">
             <small id="channelNameValidHelper"></small>
             <button id="startButton" type="button">Start chatbot</button>
-
             <button id="stopButton" type="button" disabled style="background-color: #aa0000; border-color: #aa0000">Stop
                 chatbot
             </button>
             <br/>
+
         </form>
-
-
-    </section>
-
         <details>
-        <summary>Log</summary>
+            <summary>Chatbot settings</summary>
-        <div><samp id="log"></samp></div>
+            <form>
+                <label for="automaticGenerationTimer">Automatic generation timer (seconds)</label>
+                <input type="number" id="automaticGenerationTimer" placeholder="300"
+                       value="{{ automatic_generation_timer }}">
+
+                <label for="automaticQuotesTimer">Automatic quotes timer (seconds)</label>
+                <input type="number" id="automaticQuotesTimer" placeholder="500" value="{{ automatic_quote_timer }}">
+
+                <label for="mods">Chatbot mods (comma-separated)</label>
+                <input type="text" id="mods" placeholder="huesoporro" value="{{ ','.join(mods) or '' }}">
+
+                <button id="saveSettings" type="button" style="background-color: #00c482; border-color: #00c482">
+                    Save settings
+                </button>
+            </form>
         </details>
+    </section>
 </main>
 <script>
-
     document.addEventListener("DOMContentLoaded", () => {
         class ChatbotManager {
+
             constructor() {
-                this.url = getWebsocketProtocol() + window.location.host + "/ws";
+                this.stopButton = document.getElementById("stopButton");
-                this.logElement = document.getElementById('log');
+                this.startButton = document.getElementById("startButton");
-                this.socket = null;
+                this.automaticGenerationTimerInput = document.getElementById("automaticGenerationTimer");
+                this.automaticQuotesTimerInput = document.getElementById("automaticQuotesTimer");
+                this.modsInput = document.getElementById("mods");
+                this.channelNameInput = document.getElementById("channelName");
+
             }
 
-            log(message) {
+            setEvents() {
-                console.log(message);
+                document.getElementById('saveSettings').addEventListener('click', () => {
-                this.logElement.innerHTML += message + '<br>';
+                    chatbotManager.saveBotSettings()
-            }
+                })
 
-            async open() {
-                return new Promise((resolve, reject) => {
-                    this.socket = new WebSocket(this.url);
-                    this.socket.withCredentials = true;
-                    this.socket.onopen = () => {
-                        this.log("Connected to WebSocket " + this.url);
-                    }
-                    this.socket.onmessage = async (event) => {
-                        try {
-                            const message = JSON.parse(event.data);
-                            if (message.command === "chatbot_message") {
-                                this.log(`[${message.data.username}]: ${message.data.message}`);
-                            } else if (message.command === "chatbot_status") {
-                                startButton.disabled = message.data.status === "ok";
-                                stopButton.disabled = message.data.status === "ko";
-                                this.log("Bot status is " + message.data.status)
-                            } else if (message.command === "chatbot_start") {
-                                this.log(message.data.log)
-                            }
-                        } catch (error) {
-                            this.log(`Error parsing message: ${error.message}`);
-                        }
-                    }
-                    this.socket.onerror = (error) => {
-                        this.log(`WebSocket Error: ${error}`);
-                        reject(error);
-                    }
-                    this.socket.onclose = () => {
-                        this.log(`WebSocket connection closed: ${event.code} ${event.reason}`);
-                        resolve();
-                    }
-                });
-            }
 
-            async startBot() {
+                this.startButton.addEventListener('click', () => {
-                const channelNameInput = document.getElementById('channelName');
+                    const channelName = this.channelNameInput ? this.channelNameInput.value : '';
-                const channelName = channelNameInput ? channelNameInput.value : '';
-
-                const startCommand = {
-                    command: "chatbot_start",
-                    data: {
-                        channel_name: channelName
-                    }
-                };
-
-                this.socket.send(JSON.stringify(startCommand));
-            }
-
-            async stopBot() {
-                const stopCommand = {
-                    command: "chatbot_stop",
-                    data: {}
-                };
-
-                this.socket.send(JSON.stringify(stopCommand));
-            }
-        }
-
-        const chatbotManager = new ChatbotManager();
-        chatbotManager.open()
-
-        const startButton = document.getElementById('startButton');
-        const stopButton = document.getElementById('stopButton');
-        if (startButton) {
-            startButton.addEventListener('click', () => {
-                // check if the input has text
-                const channelNameInput = document.getElementById('channelName');
-                const channelName = channelNameInput ? channelNameInput.value : '';
                     if (!channelName) {
-                    // if channelName is empty show error in the helper and add
-                    // aria-invalid="true" and aria-describedby="channelNameValidHelper" to the input
                         document.getElementById('channelNameValidHelper').textContent = 'Please enter a channel name';
-                    channelNameInput.setAttribute('aria-invalid', 'true');
+                        this.channelNameInput.setAttribute('aria-invalid', 'true');
                         return;
                     }
 
                     document.getElementById('channelNameValidHelper').textContent = 'Looks good!';
-                channelNameInput.setAttribute('aria-invalid', 'false');
+                    this.channelNameInput.setAttribute('aria-invalid', 'false');
 
-                chatbotManager.startBot()
+                    this.startBot()
                         .then(() => {
                             console.log('Chatbot started successfully');
                         })
@@ -138,10 +85,8 @@
                             console.error('Failed to start chatbot', error);
                         });
                 });
-        }
 
-        if (stopButton) {
+                this.stopButton.addEventListener('click', () => {
-            stopButton.addEventListener('click', () => {
                     chatbotManager.stopBot()
                         .then(() => {
                             console.log('Chatbot stopped successfully');
@@ -150,11 +95,100 @@
                             console.error('Failed to stop chatbot', error);
                         });
                 });
+
+                setInterval(() => {
+                    this.getBotStatus()
+                        .then(() => {
+                            console.log('Chatbot status retrieved successfully');
+                        })
+                        .catch((error) => {
+                            console.error('Failed to retrieve chatbot status', error);
+                        });
+                }, 2000);
             }
 
+            async startBot() {
+                // call PUT /bot/start with the channel name as a query param
+                const channelNameInput = document.getElementById('channelName');
+                const channelName = channelNameInput ? channelNameInput.value : '';
+                const response = await fetch(`/api/v1/bot`, {
+                    method: 'PUT',
+                    headers: {
+                        'Content-Type': 'application/json',
+                    },
+                    body: JSON.stringify({
+                        "command": "start",
+                        "channel_name": channelName
+                    })
+                });
+                const data = await response.json();
+                console.log(data);
+            }
+
+            async stopBot() {
+                // call PUT /bot/stop
+                const response = await fetch(`/api/v1/bot`, {
+                    method: 'PUT',
+                    headers: {
+                        'Content-Type': 'application/json',
+                    },
+                    body: JSON.stringify({
+                        "command": "stop",
+                    }),
+                });
+                const data = await response.json();
+                console.log(data);
+                // disable startButton
+                startButton.disabled = true;
+                stopButton.disabled = false;
+            }
+
+            setButtonsStatus(status) {
+                this.startButton.disabled = status === "ok";
+                this.stopButton.disabled = status === "ko";
+            }
+
+            async getBotStatus() {
+                const response = await fetch(`/api/v1/bot`, {
+                    method: 'GET',
+                    headers: {
+                        'Content-Type': 'application/json',
+                    },
+                });
+                const data = await response.json();
+                console.log(data);
+
+                this.setButtonsStatus(data.status)
+            }
+
+            async saveBotSettings() {
+                const automatic_generation_timer = this.automaticGenerationTimerInput.value
+                const automatic_quote_timer = this.automaticQuotesTimerInput.value
+                const mods = this.modsInput.value.split(",")
+                const response = await fetch(`/api/v1/bot/settings`, {
+                    method: 'PUT',
+                    headers: {
+                        'Content-Type': 'application/json',
+                    },
+                    body: JSON.stringify({
+                        'automatic_generation_timer': automatic_generation_timer,
+                        "automatic_quote_timer": automatic_quote_timer,
+                        "mods": mods,
+                    })
+                })
+                const data = await response.json()
+                console.log(data);
+                if (response.ok){
+                    alert("Settings saved successfully")
+                }
+            }
+        }
+
+        const chatbotManager = new ChatbotManager();
+        chatbotManager.setEvents();
+
         addLogoutEvent()
     });
-
 </script>
 </body>
 

src/huesoporro/templates/login.html

@@ -1,32 +1,17 @@
-<!DOCTYPE html>
+{% include 'header.html' %}
-<html lang="en" xmlns="http://www.w3.org/1999/html">
-
-<head>
-    <link rel="stylesheet" href="/static/css/mvp.css">
-
-    <link rel="icon"
-          href="data:image/svg+xml,<svg xmlns=%22http://www.w3.org/2000/svg%22 viewBox=%220 0 100 100%22><text y=%22.9em%22 font-size=%2290%22>🦴</text></svg>">
-    <meta charset="utf-8">
-    <meta name="description" content="Huesoporro Twitch bot">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-
-    <title>Huesoporro login</title>
-
-</head>
-
 <body>
 <header>
     <h1>Huesoporro🦴🚬</h1>
 </header>
 <main>
     <section>
-
+        <form>
-        <a href="{{ twitch_login_url }}" id="loginButton" type="button" style="color: #9c36b5; border-color: #9c36b5">Login
+            <a role="button" href="{{ twitch_login_url }}" id="loginButton" type="button" style="background-color: #B645CD; border-color: #B645CD">Login
                 with
                 Twitch
             </a>
+        </form>
     </section>
-
 </main>
 <script>
     document.addEventListener("DOMContentLoaded", () => {

uv.lock

@@ -1,6 +1,101 @@
 version = 1
 requires-python = ">=3.11"
 
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+name = "aiohappyeyeballs"
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+]
+
+[[package]]
+name = "aiohttp"
+version = "3.11.10"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aiohappyeyeballs" },
+    { name = "aiosignal" },
+    { name = "attrs" },
+    { name = "frozenlist" },
+    { name = "multidict" },
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 name = "future"
 version = "1.0.0"
@@ -267,13 +443,16 @@ wheels = [
 
 [[package]]
 name = "huesoporro"
-version = "0.2.0"
+version = "0.2.2"
 source = { virtual = "." }
 dependencies = [
+    { name = "aiosqlite" },
+    { name = "caribou" },
     { name = "ffmpeg" },
     { name = "ffmpeg-python" },
     { name = "gtts" },
     { name = "httpx" },
+    { name = "huey" },
     { name = "litestar", extra = ["standard"] },
     { name = "loguru" },
     { name = "nltk" },
@@ -281,6 +460,10 @@ dependencies = [
     { name = "pydantic" },
     { name = "pydantic-settings" },
     { name = "pyinstaller" },
+    { name = "pyjwt" },
+    { name = "pytest" },
+    { name = "redis" },
+    { name = "twitchio" },
     { name = "twitchwebsocket" },
 ]
 
@@ -291,10 +474,13 @@ dev = [
 
 [package.metadata]
 requires-dist = [
+    { name = "aiosqlite", specifier = ">=0.20.0" },
+    { name = "caribou", specifier = ">=0.4.1" },
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     { name = "httpx", specifier = ">=0.28.0" },
+    { name = "huey", specifier = ">=2.5.2" },
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     { name = "loguru", specifier = ">=0.7.2" },
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     { name = "pydantic-settings", specifier = ">=2.6.0" },
     { name = "pyinstaller", specifier = ">=6.11.0" },
+    { name = "pyjwt", specifier = ">=2.10.1" },
+    { name = "pytest", specifier = ">=8.3.4" },
+    { name = "redis", specifier = ">=5.2.1" },
+    { name = "twitchio", specifier = ">=2.10.0" },
     { name = "twitchwebsocket", specifier = ">=1.2.1" },
 ]
 
 [package.metadata.requires-dev]
 dev = [{ name = "mypy", specifier = ">=1.13.0" }]
 
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+version = "2.5.2"
+source = { registry = "https://pypi.org/simple" }
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 version = "3.10"
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