Properly merge original Discord bot with JurySystem DBT integration

This commit is contained in:
2026-02-16 19:29:35 -06:00
parent 2feaf0cdc0
commit 1ed187b0dd

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@@ -1,16 +1,48 @@
"""
bot.py - Discord bot client with session management and command routing
Features:
- Login flow with username/password
- Session management with JWT tokens
- AI-powered command parsing via registry
- Background task loop for polling
- JurySystem DBT integration for mental health support
"""
import discord
from discord.ext import tasks
import os
import sys
import json
import base64
import requests
import bcrypt
import pickle
import numpy as np
from openai import OpenAI
import discord
from discord.ext import commands
# --- Configuration ---
CONFIG_PATH = os.getenv("CONFIG_PATH", "config.json")
KNOWLEDGE_BASE_PATH = os.getenv(
"KNOWLEDGE_BASE_PATH", "bot/data/dbt_knowledge.embeddings.json"
)
from bot.command_registry import get_handler, list_registered, register_module
import ai.parser as ai_parser
import bot.commands.routines # noqa: F401 - registers handler
import bot.commands.medications # noqa: F401 - registers handler
import bot.commands.knowledge # noqa: F401 - registers handler
DISCORD_BOT_TOKEN = os.getenv("DISCORD_BOT_TOKEN")
API_URL = os.getenv("API_URL", "http://app:5000")
user_sessions = {}
login_state = {}
message_history = {}
user_cache = {}
CACHE_FILE = "/app/user_cache.pkl"
intents = discord.Intents.default()
intents.message_content = True
client = discord.Client(intents=intents)
# ==================== JurySystem Integration ====================
class SimpleVectorStore:
@@ -46,23 +78,28 @@ class SimpleVectorStore:
class JurySystem:
"""DBT Knowledge Base Query System"""
def __init__(self):
self.config = self.load_config()
config_path = os.getenv("CONFIG_PATH", "config.json")
kb_path = os.getenv(
"KNOWLEDGE_BASE_PATH", "bot/data/dbt_knowledge.embeddings.json"
)
with open(config_path, "r") as f:
self.config = json.load(f)
self.client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key=self.config["openrouter_api_key"],
)
self.vector_store = SimpleVectorStore()
self.load_knowledge_base()
self._load_knowledge_base(kb_path)
def load_config(self):
with open(CONFIG_PATH, "r") as f:
return json.load(f)
def load_knowledge_base(self):
print(f"Loading knowledge base from {KNOWLEDGE_BASE_PATH}...")
def _load_knowledge_base(self, kb_path):
print(f"Loading DBT knowledge base from {kb_path}...")
try:
with open(KNOWLEDGE_BASE_PATH, "r", encoding="utf-8") as f:
with open(kb_path, "r", encoding="utf-8") as f:
data = json.load(f)
vectors = []
metadata = []
@@ -72,38 +109,41 @@ class JurySystem:
{"id": item["id"], "source": item["source"], "text": item["text"]}
)
self.vector_store.add(vectors, metadata)
print(f"Loaded {len(vectors)} chunks into vector store.")
except FileNotFoundError:
print(f"Error: {KNOWLEDGE_BASE_PATH} not found.")
raise
print(f"Loaded {len(vectors)} chunks into DBT vector store.")
except Exception as e:
print(f"Error loading knowledge base: {e}")
print(f"Error loading DBT knowledge base: {e}")
raise
def process_query(self, query):
async def query(self, query_text):
"""Query the DBT knowledge base"""
try:
# Get embedding
response = self.client.embeddings.create(
model="qwen/qwen3-embedding-8b", input=query
model="qwen/qwen3-embedding-8b", input=query_text
)
query_emb = response.data[0].embedding
# Search
context_chunks = self.vector_store.search(query_emb, top_k=5)
if not context_chunks:
return "I couldn't find any relevant information in the knowledge base."
return "I couldn't find relevant DBT information for that query."
# Generate answer
context_text = "\n\n---\n\n".join(
[chunk["metadata"]["text"] for chunk in context_chunks]
)
system_prompt = """You are a helpful AI assistant specializing in DBT (Dialectical Behavior Therapy).
Use the provided context to answer the user's question.
system_prompt = """You are a helpful DBT (Dialectical Behavior Therapy) assistant.
Use the provided context from the DBT Skills Training Handouts to answer the user's question.
If the answer is not in the context, say you don't know based on the provided text.
Be concise and compassionate."""
Be concise, compassionate, and practical."""
user_prompt = f"Context:\n{context_text}\n\nQuestion: {query}"
user_prompt = f"Context:\n{context_text}\n\nQuestion: {query_text}"
response = self.client.chat.completions.create(
model="openai/gpt-4o-mini",
model=self.config.get("models", {}).get(
"generator", "openai/gpt-4o-mini"
),
messages=[
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_prompt},
@@ -113,45 +153,429 @@ Be concise and compassionate."""
return response.choices[0].message.content
except Exception as e:
return f"Error processing query: {e}"
return f"Error querying DBT knowledge base: {e}"
# Initialize the Jury System
print("Initializing AI Jury System...")
jury_system = JurySystem()
print("Jury System ready!")
# Discord Bot Setup
intents = discord.Intents.default()
intents.message_content = True
bot = commands.Bot(command_prefix="!", intents=intents)
# Initialize JurySystem
jury_system = None
try:
jury_system = JurySystem()
print("✓ JurySystem (DBT) initialized successfully")
except Exception as e:
print(f"⚠ JurySystem initialization failed: {e}")
@bot.event
async def on_ready():
print(f"Bot logged in as {bot.user}")
# ==================== Original Bot Functions ====================
@bot.event
async def on_message(message):
if message.author == bot.user:
def decodeJwtPayload(token):
payload = token.split(".")[1]
payload += "=" * (4 - len(payload) % 4)
return json.loads(base64.urlsafe_b64decode(payload))
def apiRequest(method, endpoint, token=None, data=None):
url = f"{API_URL}{endpoint}"
headers = {"Content-Type": "application/json"}
if token:
headers["Authorization"] = f"Bearer {token}"
try:
resp = getattr(requests, method)(url, headers=headers, json=data, timeout=10)
try:
return resp.json(), resp.status_code
except ValueError:
return {}, resp.status_code
except requests.RequestException:
return {"error": "API unavailable"}, 503
def loadCache():
try:
if os.path.exists(CACHE_FILE):
with open(CACHE_FILE, "rb") as f:
global user_cache
user_cache = pickle.load(f)
print(f"Loaded cache for {len(user_cache)} users")
except Exception as e:
print(f"Error loading cache: {e}")
def saveCache():
try:
with open(CACHE_FILE, "wb") as f:
pickle.dump(user_cache, f)
except Exception as e:
print(f"Error saving cache: {e}")
def hashPassword(password):
return bcrypt.hashpw(password.encode("utf-8"), bcrypt.gensalt()).decode("utf-8")
def verifyPassword(password, hashed):
return bcrypt.checkpw(password.encode("utf-8"), hashed.encode("utf-8"))
def getCachedUser(discord_id):
return user_cache.get(discord_id)
def setCachedUser(discord_id, user_data):
user_cache[discord_id] = user_data
saveCache()
def negotiateToken(discord_id, username, password):
cached = getCachedUser(discord_id)
if (
cached
and cached.get("username") == username
and verifyPassword(password, cached.get("hashed_password"))
):
result, status = apiRequest(
"post", "/api/login", data={"username": username, "password": password}
)
if status == 200 and "token" in result:
token = result["token"]
payload = decodeJwtPayload(token)
user_uuid = payload["sub"]
setCachedUser(
discord_id,
{
"hashed_password": cached["hashed_password"],
"user_uuid": user_uuid,
"username": username,
},
)
return token, user_uuid
return None, None
result, status = apiRequest(
"post", "/api/login", data={"username": username, "password": password}
)
if status == 200 and "token" in result:
token = result["token"]
payload = decodeJwtPayload(token)
user_uuid = payload["sub"]
setCachedUser(
discord_id,
{
"hashed_password": hashPassword(password),
"user_uuid": user_uuid,
"username": username,
},
)
return token, user_uuid
return None, None
async def handleAuthFailure(message):
discord_id = message.author.id
user_sessions.pop(discord_id, None)
await message.channel.send(
"Your session has expired. Send any message to log in again."
)
async def handleLoginStep(message):
discord_id = message.author.id
state = login_state[discord_id]
if state["step"] == "username":
state["username"] = message.content.strip()
state["step"] = "password"
await message.channel.send("Password?")
elif state["step"] == "password":
username = state["username"]
password = message.content.strip()
del login_state[discord_id]
token, user_uuid = negotiateToken(discord_id, username, password)
if token and user_uuid:
user_sessions[discord_id] = {
"token": token,
"user_uuid": user_uuid,
"username": username,
}
registered = ", ".join(list_registered()) or "none"
await message.channel.send(
f"Welcome back **{username}**!\n\n"
f"Registered modules: {registered}\n\n"
f"Send 'help' for available commands."
)
else:
await message.channel.send(
"Invalid credentials. Send any message to try again."
)
async def sendHelpMessage(message):
help_msg = """**🤖 Synculous Bot - Natural Language Commands**
Just talk to me naturally! Here are some examples:
**💊 Medications:**
"add lsd 50 mcg every tuesday at 4:20pm"
"take my wellbutrin"
"what meds do i have today?"
"show my refills"
"snooze my reminder for 30 minutes"
"check adherence"
**📋 Routines:**
"create morning routine with brush teeth, shower, eat"
"start my morning routine"
"done" (complete current step)
"skip" (skip current step)
"pause/resume" (pause or continue)
"what steps are in my routine?"
"schedule workout for monday wednesday friday at 7am"
"show my stats"
**🧠 DBT Support:**
"how do I use distress tolerance?"
"explain radical acceptance"
"give me a DBT skill for anger"
"what are the TIPP skills?"
**💡 Tips:**
• I understand natural language, typos, and slang
• If I'm unsure, I'll ask for clarification
• For important actions, I'll ask you to confirm with "yes" or "no"
• When you're in a routine, shortcuts like "done", "skip", "pause" work automatically"""
await message.channel.send(help_msg)
async def checkActiveSession(session):
"""Check if user has an active routine session and return details."""
token = session.get("token")
if not token:
return None
resp, status = apiRequest("get", "/api/sessions/active", token)
if status == 200 and "session" in resp:
return resp
return None
async def handleConfirmation(message, session):
"""Handle yes/no confirmation responses. Returns True if handled."""
discord_id = message.author.id
user_input = message.content.lower().strip()
if "pending_confirmations" not in session:
return False
pending = session["pending_confirmations"]
if not pending:
return False
confirmation_id = list(pending.keys())[-1]
confirmation_data = pending[confirmation_id]
if user_input in ("yes", "y", "yeah", "sure", "ok", "confirm"):
del pending[confirmation_id]
interaction_type = confirmation_data.get("interaction_type")
handler = get_handler(interaction_type)
if handler:
fake_parsed = confirmation_data.copy()
fake_parsed["needs_confirmation"] = False
await handler(message, session, fake_parsed)
return True
elif user_input in ("no", "n", "nah", "cancel", "abort"):
del pending[confirmation_id]
await message.channel.send("❌ Cancelled.")
return True
return False
async def handleActiveSessionShortcuts(message, session, active_session):
"""Handle shortcuts like 'done', 'skip', 'next' when in active session."""
user_input = message.content.lower().strip()
shortcuts = {
"done": ("routine", "complete"),
"finished": ("routine", "complete"),
"complete": ("routine", "complete"),
"next": ("routine", "complete"),
"skip": ("routine", "skip"),
"pass": ("routine", "skip"),
"pause": ("routine", "pause"),
"hold": ("routine", "pause"),
"resume": ("routine", "resume"),
"continue": ("routine", "resume"),
"stop": ("routine", "cancel"),
"quit": ("routine", "cancel"),
"abort": ("routine", "abort"),
}
if user_input in shortcuts:
interaction_type, action = shortcuts[user_input]
handler = get_handler(interaction_type)
if handler:
fake_parsed = {"action": action}
await handler(message, session, fake_parsed)
return True
return False
async def handleDBTQuery(message):
"""Handle DBT-related queries using JurySystem"""
if not jury_system:
return False
# Keywords that indicate a DBT query
dbt_keywords = [
"dbt",
"distress tolerance",
"emotion regulation",
"interpersonal effectiveness",
"mindfulness",
"radical acceptance",
"wise mind",
"tipp",
"dearman",
"check the facts",
"opposite action",
"cope ahead",
"abc please",
"stop skill",
"pros and cons",
"half smile",
"willing hands",
]
user_input_lower = message.content.lower()
is_dbt_query = any(keyword in user_input_lower for keyword in dbt_keywords)
if is_dbt_query:
async with message.channel.typing():
response = await jury_system.query(message.content)
await message.channel.send(f"🧠 **DBT Support:**\n{response}")
return True
return False
async def routeCommand(message):
discord_id = message.author.id
session = user_sessions[discord_id]
user_input = message.content.lower()
if "help" in user_input or "what can i say" in user_input:
await sendHelpMessage(message)
return
# Process all messages as DBT queries
if not message.content.startswith("!"):
async with message.channel.typing():
response = jury_system.process_query(message.content)
await message.reply(response)
# Check for active session first
active_session = await checkActiveSession(session)
await bot.process_commands(message)
# Handle confirmation responses
confirmation_handled = await handleConfirmation(message, session)
if confirmation_handled:
return
# Handle shortcuts when in active session
if active_session:
shortcut_handled = await handleActiveSessionShortcuts(
message, session, active_session
)
if shortcut_handled:
return
# Check for DBT queries
dbt_handled = await handleDBTQuery(message)
if dbt_handled:
return
async with message.channel.typing():
history = message_history.get(discord_id, [])
# Add context about active session to help AI understand
context = ""
if active_session:
session_data = active_session.get("session", {})
routine_name = session_data.get("routine_name", "a routine")
current_step = session_data.get("current_step_index", 0) + 1
total_steps = active_session.get("total_steps", 0)
context = f"\n[Context: User is currently in active session for '{routine_name}', on step {current_step} of {total_steps}. They can say 'done', 'skip', 'pause', 'resume', or 'stop'.]"
parsed = await ai_parser.parse(
message.content + context, "command_parser", history=history
)
if discord_id not in message_history:
message_history[discord_id] = []
message_history[discord_id].append((message.content, parsed))
message_history[discord_id] = message_history[discord_id][-5:]
if "needs_clarification" in parsed:
await message.channel.send(
f"I'm not quite sure what you mean. {parsed['needs_clarification']}"
)
return
if "error" in parsed:
await message.channel.send(
f"I had trouble understanding that: {parsed['error']}"
)
return
interaction_type = parsed.get("interaction_type")
handler = get_handler(interaction_type)
if handler:
await handler(message, session, parsed)
else:
registered = ", ".join(list_registered()) or "none"
await message.channel.send(
f"Unknown command type '{interaction_type}'. Registered modules: {registered}"
)
@bot.command(name="ask")
async def ask_dbt(ctx, *, question):
"""Ask a DBT-related question"""
async with ctx.typing():
response = jury_system.process_query(question)
await ctx.send(response)
@client.event
async def on_ready():
print(f"Bot logged in as {client.user}")
loadCache()
backgroundLoop.start()
bot.run(DISCORD_BOT_TOKEN)
@client.event
async def on_message(message):
if message.author == client.user:
return
if not isinstance(message.channel, discord.DMChannel):
return
discord_id = message.author.id
if discord_id in login_state:
await handleLoginStep(message)
return
if discord_id not in user_sessions:
login_state[discord_id] = {"step": "username"}
await message.channel.send("Welcome! Send your username to log in.")
return
await routeCommand(message)
@tasks.loop(seconds=60)
async def backgroundLoop():
"""Override this in your domain module or extend as needed."""
pass
@backgroundLoop.before_loop
async def beforeBackgroundLoop():
await client.wait_until_ready()
if __name__ == "__main__":
client.run(DISCORD_BOT_TOKEN)