flowchart TD
    A[Application] -->|Sends input| B[Function Caller]
    B -->|Queries| C[LLM]
    C -->|Returns raw output| D[Response Handler]
    D -->|Structures data using| E[Pydantic Models]
    E --> F{Structured Output}
    F -->|Used by| A

    subgraph large_language_models [Large Language Models]
    C
    end

    subgraph response_handling [Response Handling]
    D
    E
    end

flowchart TD
    A[Client Application] -->|Uses| B[Instructor Library]
    B --> |Wraps| C[GPT-4]
    B --> |Wraps| D[LLAMA3]
    B --> |Wraps| E[Claude3]

    C --> G((Pydantic Models))
    D --> G
    E --> G

    G --> H{Structured Outputs}
    H -->|Returned to| A

    subgraph large_language_models [Large Language Models]
    C
    D
    E
    end

    subgraph pydantic_modelling [Output Structuring]
    G
    end

#!/usr/bin/env python3

from litestar import Litestar, get, post
from litestar.openapi import OpenAPIConfig
from litestar.openapi.plugins import (
    ScalarRenderPlugin,
    RapidocRenderPlugin,
    RedocRenderPlugin,
    SwaggerRenderPlugin,
)

from enhanced_discord_bot_llms.llm_svc import (
    LLMModel,
    gen_async_client,
    UserInfo,
    streaming_usine_de_gaou_creation,
)


@get("/", sync_to_thread=False)
def read_root() -> dict:
    return {"Hello": "World"}


@post("/gaou/{parametre:str}")
async def creer_gaou(parametre: str) -> UserInfo:
    model = LLMModel.LLAMA3
    client = gen_async_client(model=model)
    gaou = await streaming_usine_de_gaou_creation(client, parametre, model=model)
    print(f"Nouveau gaou créé: {gaou},\n selon le paramètre {parametre}\n\n")
    return gaou


app = Litestar(
    route_handlers=[read_root, creer_gaou],
    openapi_config=OpenAPIConfig(
        title="Gaou API",
        description="API pour créer des Gaous",
        version="0.1.0",
        path="/docs",
        render_plugins=[
            RapidocRenderPlugin(),
            # RedocRenderPlugin(),
            # ScalarRenderPlugin(),
            # SwaggerRenderPlugin(),
        ],
    ),
    debug=True,
)

if __name__ == "__main__":
    import uvicorn

    application = "gaouapp:app"
    uvicorn.run(application, host="0.0.0.0", port=8000, reload=True)

#!/usr/bin/env python3
import os

import instructor

from instructor import Instructor, AsyncInstructor
from anthropic import Anthropic, AsyncAnthropic
from groq import Groq, AsyncGroq
from openai import OpenAI, AsyncOpenAI
from pydantic import BaseModel, Field

from enum import Enum, auto


class LLMModel(str, Enum):
    Claude3 = "claude-3-opus-20240229"
    GPT4_Omni = "gpt-4o"
    LLAMA3 = "llama3-70b-8192"


def gen_client(model=LLMModel.GPT4_Omni) -> Instructor:
    match model:
        case LLMModel.Claude3:
            client = instructor.from_anthropic(Anthropic())
        case LLMModel.GPT4_Omni:
            client = instructor.patch(OpenAI())
        case LLMModel.LLAMA3:
            client = instructor.patch(Groq())
    return client


def gen_async_client(model=LLMModel.GPT4_Omni) -> AsyncInstructor:
    match model:
        case LLMModel.Claude3:
            client = instructor.from_anthropic(AsyncAnthropic())
        case LLMModel.GPT4_Omni:
            client = instructor.patch(AsyncOpenAI())
        case LLMModel.LLAMA3:
            client = instructor.patch(AsyncGroq())
    return client


## Gaou Domain


class UserInfo(BaseModel):
    name: str
    age: int
    is_teenager: bool
    is_intelligent: bool


def usine_de_gaou_creation(
    ai_client: Instructor, parametre: str, model=LLMModel.GPT4_Omni
) -> UserInfo:
    gaou = ai_client.chat.completions.create(
        model=model,
        response_model=UserInfo,
        messages=[{"role": "user", "content": parametre}],
    )
    return gaou


async def streaming_usine_de_gaou_creation(
    ai_client: AsyncInstructor, parametre: str, model=LLMModel.GPT4_Omni
) -> UserInfo:
    gaou = await ai_client.chat.completions.create(
        model=model,
        response_model=UserInfo,
        messages=[
            {
                "role": "system",
                "content": "The user may provide a prompt in their language of choice (such as english, french, creol, spanish etc.), so take that fact into account.",
            },
            {"role": "user", "content": parametre},
        ],
    )
    return gaou


class Language(str, Enum):
    nouchi = "Nouchi"
    moore = "Mooré"
    lingala = "Lingala"
    english = "English"
    french = "French"
    creole = "Créole"
    spanish = "Spanish"


class GaouJoke(BaseModel):
    friend_gaou_joke: str = Field(
        ...,
        description="The joke that qualifies the friend as a Gaou. The joke should be light and humorous as well as alternate between Nouchi, Mooré, Lingala, English, French, Créole and Spanish.",
    )
    language: Language


async def streaming_gaou_formula(
    ai_client: AsyncInstructor, gaou_name: str, model=LLMModel.GPT4_Omni
) -> GaouJoke:
    gaou = await ai_client.chat.completions.create(
        model=model,
        temperature=1,  # Go wild with the temperature!!!!
        max_tokens=1024,
        response_model=GaouJoke,
        messages=[
            {
                "role": "system",
                "content": f"""
                The term 'Gaou' is a funny term, used only amongs friends. For example, {gaou_name} is so Gaou!.
                You will assist in qualifying a friend as a Gaou, based on the following criteria:
                - The friend's name
                - Make up a light joke which always ends up qualifying the friend as a Gaou
                - Mix in some humor and sarcasm
                - In a way Gaou means someone who is naive, gullible, or easily fooled but in a friendly way
                - Use different languages out of one of the following: Mooré, English, French, Créole, Spanish etc.
                """,
            },
            {"role": "user", "content": gaou_name},
        ],
    )
    return gaou

#!/usr/bin/env python3

import os
import random

import discord

from asyncio import sleep

from discord.ext import commands, tasks

from enhanced_discord_bot_llms.constants import (
    WORDS_THE_BOT_DONT_LIKE,
    FROWNING_FACE_EMOJI,
)
from enhanced_discord_bot_llms.llm_svc import (
    gen_client,
    usine_de_gaou_creation,
    gen_async_client,
    streaming_usine_de_gaou_creation,
    LLMModel,
    streaming_gaou_formula,
)

intents = discord.Intents.default()
intents.typing = False
intents.messages = True
intents.message_content = True
intents.reactions = True
intents.members = True

bot = commands.Bot(command_prefix="?", intents=intents)


@bot.event
async def on_message(message):
    # we do not want the bot to reply to itself
    if message.author == bot.user:
        return

    try:
        content = message.content.lower()
        for word in WORDS_THE_BOT_DONT_LIKE:
            if word in content:
                await sleep(10)
                await message.channel.send(
                    f"{message.author.mention} Hey! Do not use that word again {FROWNING_FACE_EMOJI}"
                )
                await message.channel.send(
                    f"{message.author.mention} You called me: {word} and I don't like it. I've deleted your message."
                )
                await sleep(10)
                await message.delete()
    except Exception as e:
        print(f"Error: {e}")

    if message.content == "pingGG":
        await message.channel.send("pongGG")
        return

    await bot.process_commands(message)


@bot.event
async def on_message_edit(before, after):
    if before.author == bot.user:
        return

    if after.content == "ping":
        await after.channel.send("pong")
        return

    await bot.process_commands(after)


@bot.command()
@commands.guild_only()
async def ping(ctx: commands.Context):
    """
    ctx: Context (discord.ext.commands.Context, information about the command)

    ?ping
    """
    await ctx.reply("pong")


@bot.command()
@commands.guild_only()
async def new_gaou(ctx: commands.Context, parametre: str):
    """
    ctx: Context (discord.ext.commands.Context, information about the command)
    parametre: str (message to send to the model)

    ?new_gaou "I am not a Gaou named Lambert who is 15 years old and is intelligent."
    """
    model = LLMModel.GPT4_Omni
    # model = LLMModel.LLAMA3
    try:
        client = gen_async_client(model=model)
        gueou = await streaming_usine_de_gaou_creation(client, parametre, model=model)
        await ctx.reply(f"""
```json

{gueou.model_dump_json(
    indent=4
)}
```
""")
    except Exception as e:
        print(f"Error: {e}")
        await ctx.reply(f"An error occurred: {e}")


@bot.command()
@commands.has_permissions(administrator=True)
@commands.bot_has_permissions(manage_messages=True)
async def cleanup(ctx: commands.Context, limit: int):
    """
    ctx: Context (discord.ext.commands.Context, information about the command)
    limit: int (number of messages to delete)

    ?cleanup 10
    """
    await delete_messages(ctx, limit)


@bot.command()
@commands.dm_only()
async def dm_cleanup(ctx: commands.Context, limit: int):
    """
    ctx: Context (discord.ext.commands.Context, information about the command)
    limit: int (number of messages to delete)

    ?dm_cleanup 10
    """
    await delete_messages(ctx, limit)


async def delete_messages(ctx: commands.Context, limit: int):
    print(f"Cleaning up: {limit} messages...")
    async for msg in ctx.channel.history(limit=limit):
        try:
            print(f"Deleting message: {msg.content}")
            await sleep(1)
            await msg.delete()
        except Exception as e:
            print(f"Error: {e}")
            await ctx.reply(f"You may not have permission to delete messages.")
            continue


@tasks.loop(minutes=16)
async def my_background_gaou_tasks():
    await bot.change_presence(activity=discord.Game(name="With Gaous"))
    # members = [[member for member in guild.members] for guild in bot.guilds]
    # members = bot.get_all_members()
    channels = bot.get_all_channels()
    for chnl in channels:
        if isinstance(chnl, discord.TextChannel) and chnl.name == "botexperiments":
            await chnl.send(
                f"Who's Gaou anyway? Me Gaou? Think again... {chnl.mention}"
            )
            chnl_members = chnl.members
            for chnl_m in chnl_members:
                if chnl_m.bot:
                    continue
                elif (
                    "african" in chnl_m.name.lower()
                    or "dog" in chnl_m.name.lower()
                    or "lle" in chnl_m.name.lower()
                    or "bru" in chnl_m.name.lower()
                ):
                    await sleep(8)
                    # model = random.choice(
                    #     [model.value for model in LLMModel]
                    # )  # Choose a model at random
                    model = LLMModel.Claude3
                    client = gen_async_client(model=model)
                    gueou_joke = await streaming_gaou_formula(
                        client, chnl_m.display_name, model=model
                    )
                    # message_to_gueou = f"{gueou_joke.friend_gaou_joke} ({gueou_joke.language.name} => {gueou_joke.language.value}) {chnl_m.mention}"
                    message_to_gueou = f"{gueou_joke.friend_gaou_joke} ({gueou_joke.language.value}) {chnl_m.mention}"
                    await chnl.send(message_to_gueou)


@my_background_gaou_tasks.before_loop
async def before_gueou():
    await bot.wait_until_ready()
    print("Ready for Gaous!")


@bot.event
async def on_ready():
    print(f"Logged in as {bot.user} (ID: {bot.user.id})")
    my_background_gaou_tasks.start()


if __name__ == "__main__":
    token = os.environ["DISCORD_BOT_TOKEN"]
    bot.run(token)

FROM python:3.12.3-alpine3.19

COPY . .

RUN apk add --no-cache libffi-dev openssl-dev gcc musl-dev make

RUN pip install -r requirements.lock

WORKDIR /src/enhanced_discord_bot_llms

CMD ["python", "gaouapp.py"]

FROM python:3.12.3-alpine3.19

COPY . .

RUN apk add --no-cache libffi-dev openssl-dev gcc musl-dev make

RUN pip install -r requirements.lock

WORKDIR /src/enhanced_discord_bot_llms

CMD ["python", "gaoubot.py"]

#!/usr/bin/env bash
set -x #echo on

BASEDIR=$(dirname "$0")
DOCKERDIR=$BASEDIR/docker
PLATFORM=linux/amd64
REGISTRY=ttl.sh

echo "BASEDIR: $BASEDIR"
echo "DOCKERDIR: $DOCKERDIR"

case "$1" in
  "dockerize:api")
    echo "Building Docker image for API..."
    docker buildx build --platform $PLATFORM -t $2 -f $DOCKERDIR/Dockerfile.api $BASEDIR
    ;;
  "dockerize:bot")
    echo "Building Docker image for Bot..."
    docker buildx build --platform $PLATFORM -t $2 -f $DOCKERDIR/Dockerfile.bot $BASEDIR
    ;;
  "docker:publish")
    echo "Publishing Docker image..."
    docker push $2
    ;;
  *)
    echo "Usage: $0 {dockerize:api|dockerize:bot|docker:publish}"
    exit 1
    ;;
esac

exit 0

graph TB

DockerEngine(Docker Engine)

DockerEngine -- Runs --> DockerContainer
DockerEngine -- Builds --> DockerImage

DockerFile(Dockerfile: Recipe for Images) -- Defines --> DockerImage

DockerHub(Docker Hub: Public Repository) -- Stores and Shares --> DockerImage

DockerContainer(Docker Container: Tiny, stand-alone, executable package)
DockerImage(Docker Image: Blueprints for Containers) -- Creates --> DockerContainer

subgraph "Analogy: Construction"
  DockerFile -- "Architect's Plan" --> DockerImage
  DockerImage -- "Pre-fab house parts" --> DockerContainer
end

# Update your existing list of packages
sudo apt update

# Install a few prerequisite packages which let `apt` use packages over HTTPS
sudo apt install apt-transport-https ca-certificates curl software-properties-common

# Add the GPG key for the official Docker repository to your system
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg

# Add the Docker repository to APT sources
echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null

# Update your existing list of packages again for the addition to be recognized
sudo apt update

# Make sure you are about to install from the Docker repo instead of the default Ubuntu repo
apt-cache policy docker-ce

# Install Docker
sudo apt install docker-ce

# Check that it’s running
sudo systemctl status docker

# Add your username to the docker group
sudo usermod -aG docker ${USER}

su - ${USER}

groups

sudo apt install direnv

eval "$(direnv hook bash)"