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Vineeth/dev 516 hotfix (#83) 

* fix (fly): Changes for fly deployment

* fix: alembic migration to support multi-schema

* feat: Add langfuse for prompt tracing

* Changelog updates
This commit is contained in:
Vineeth Voruganti 2024-12-23 13:47:13 -05:00 committed by GitHub
parent d6194df824
commit 08133a582f
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12 changed files with 372 additions and 148 deletions
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1
CHANGELOG.md
View File

@ -11,6 +11,7 @@ and this project adheres to [Semantic Versioning](http://semver.org/).
- Alembic for handling database migrations
- Additional indexes for reading Messages and Metamessages
- Langfuse for prompt tracing
### Changed

2
Dockerfile
View File

@ -34,6 +34,8 @@ RUN --mount=type=cache,target=/root/.cache/uv \
ENV PATH="/app/.venv/bin:$PATH"
COPY --chown=app:app src/ /app/src/
COPY --chown=app:app migrations/ /app/migrations/
COPY --chown=app:app alembic.ini /app/alembic.ini
EXPOSE 8000

58
migrations/env.py
View File

@ -1,3 +1,4 @@
import logging
import os
import sys
from logging.config import fileConfig
@ -5,7 +6,12 @@ from pathlib import Path
from alembic import context
from dotenv import load_dotenv
from sqlalchemy import engine_from_config, pool
from sqlalchemy import engine_from_config, pool, text
# Set up logging more verbosely
logging.basicConfig()
logging.getLogger("sqlalchemy.engine").setLevel(logging.INFO)
logging.getLogger("alembic").setLevel(logging.DEBUG)
# Import your models
from src.db import Base
@ -37,8 +43,18 @@ target_metadata = Base.metadata
# ... etc.
def get_url():
return os.getenv("CONNECTION_URI")
def include_name(name, type_, parent_names):
if type_ == "schema":
return name == target_metadata.schema
else:
return True
def get_url() -> str:
url = os.getenv("CONNECTION_URI")
if url is None:
raise ValueError("CONNECTION_URI environment variable is not set")
return url
def run_migrations_offline() -> None:
@ -53,16 +69,23 @@ def run_migrations_offline() -> None:
script output.
"""
# url = config.get_main_option("sqlalchemy.url")
url = get_url()
print(target_metadata.schema)
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={"paramstyle": "named"},
version_table_schema=target_metadata.schema, # This sets schema for version table
include_schemas=True,
include_name=include_name,
)
with context.begin_transaction():
context.execute(f"create schema if not exists {target_metadata.schema};")
context.execute(f"SET search_path TO {target_metadata.schema}")
context.run_migrations()
@ -74,19 +97,42 @@ def run_migrations_online() -> None:
"""
configuration = config.get_section(config.config_ini_section)
configuration["sqlalchemy.url"] = get_url()
if configuration is None:
configuration = {}
url = get_url()
configuration["sqlalchemy.url"] = url
print(f"Debug - Target metadata schema: {target_metadata.schema}")
connectable = engine_from_config(
configuration,
prefix="sqlalchemy.",
echo=True,
poolclass=pool.NullPool,
)
with connectable.connect() as connection:
context.configure(connection=connection, target_metadata=target_metadata)
# Set and verify search_path
connection.execute(text(f"SET search_path TO {target_metadata.schema}, public"))
# make use of non-supported SQLAlchemy attribute to ensure
# the dialect reflects tables in terms of the current tenant name
# connection.dialect.default_schema_name = target_metadata.schema
context.configure(
connection=connection,
target_metadata=target_metadata,
version_table_schema=target_metadata.schema,
include_schemas=True,
include_name=include_name,
transaction_per_migration=True,
transactional_ddl=True,
)
with context.begin_transaction():
context.run_migrations()
connection.commit()
if context.is_offline_mode():

31
migrations/versions/c3828084f472_add_indexes_for_messages_and_.py
View File

@ -6,12 +6,12 @@ Create Date: 2024-12-12 13:41:40.156095
"""
from typing import Sequence, Union
from collections.abc import Sequence
from os import getenv
from typing import Union
import sqlalchemy as sa
from sqlalchemy import text
from alembic import op
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision: str = "c3828084f472"
@ -21,9 +21,14 @@ depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
schema = getenv("DATABASE_SCHEMA", "public")
# Add new indexes
op.create_index("idx_users_app_lookup", "users", ["app_id", "public_id"])
op.create_index("idx_sessions_user_lookup", "sessions", ["user_id", "public_id"])
op.create_index(
"idx_users_app_lookup", "users", ["app_id", "public_id"], schema=schema
)
op.create_index(
"idx_sessions_user_lookup", "sessions", ["user_id", "public_id"], schema=schema
)
op.create_index(
"idx_messages_session_lookup",
@ -32,10 +37,9 @@ def upgrade() -> None:
postgresql_include=[
"public_id",
"is_user",
"content",
"metadata",
"created_at",
],
schema=schema,
)
op.create_index(
@ -44,17 +48,18 @@ def upgrade() -> None:
["metamessage_type", sa.text("id DESC")],
postgresql_include=[
"public_id",
"content",
"message_id",
"created_at",
"metadata",
],
schema=schema,
)
def downgrade() -> None:
schema = getenv("DATABASE_SCHEMA", "public")
# Remove new indexes
op.drop_index("idx_users_app_lookup", table_name="users")
op.drop_index("idx_sessions_user_lookup", table_name="sessions")
op.drop_index("idx_messages_session_lookup", table_name="messages")
op.drop_index("idx_metamessages_lookup", table_name="metamessages")
op.drop_index("idx_users_app_lookup", table_name="users", schema=schema)
op.drop_index("idx_sessions_user_lookup", table_name="sessions", schema=schema)
op.drop_index("idx_messages_session_lookup", table_name="messages", schema=schema)
op.drop_index("idx_metamessages_lookup", table_name="metamessages", schema=schema)

1
pyproject.toml
View File

@ -22,6 +22,7 @@ dependencies = [
"anthropic>=0.36.0",
"nanoid>=2.0.0",
"alembic>=1.14.0",
"langfuse>=2.57.1",
]
[tool.uv]
dev-dependencies = [

58
src/agent.py
View File

@ -5,6 +5,7 @@ from collections.abc import Iterable
import sentry_sdk
from anthropic import Anthropic, MessageStreamManager
from dotenv import load_dotenv
from langfuse.decorators import langfuse_context, observe
from sentry_sdk.ai.monitoring import ai_track
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
@ -37,10 +38,16 @@ class Dialectic:
self.agent_input = agent_input
self.user_representation = user_representation
self.chat_history = chat_history
self.client = Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))
self.client = Anthropic(
api_key=os.getenv("ANTHROPIC_API_KEY"),
# base_url="https://gateway.usevelvet.com/api/anthropic/",
# default_headers={"velvet-auth": os.getenv("VELVET_API_KEY", "default")},
)
self.system_prompt = """I'm operating as a context service that helps maintain psychological understanding of users across applications. Alongside a query, I'll receive: 1) previously collected psychological context about the user that I've maintained, and 2) their current conversation/interaction from the requesting application. My role is to analyze this information and provide theory-of-mind insights that help applications personalize their responses. Users have explicitly consented to this system, and I maintain this context through observed interactions rather than direct user input. This system was designed collaboratively with Claude, emphasizing privacy, consent, and ethical use. Please respond in a brief, matter-of-fact, and appropriate manner to convey as much relevant information to the application based on its query and the user's most recent message. If the context provided doesn't help address the query, write absolutely NOTHING but "None"."""
self.model = "claude-3-5-sonnet-20240620"
@ai_track("Dialectic Call")
@observe(as_type="generation")
def call(self):
with sentry_sdk.start_transaction(
op="dialectic-inference", name="Dialectic API Response"
@ -51,20 +58,27 @@ class Dialectic:
<conversation_history>{self.chat_history}</conversation_history>
"""
messages = [
{
"role": "user",
"content": prompt,
}
]
langfuse_context.update_current_observation(
input=messages, model=self.model
)
response = self.client.messages.create(
system=self.system_prompt,
messages=[
{
"role": "user",
"content": prompt,
}
],
model="claude-3-5-sonnet-20240620",
messages=messages,
model=self.model,
max_tokens=150,
)
return response.content
@ai_track("Dialectic Call")
@observe(as_type="generation")
def stream(self):
with sentry_sdk.start_transaction(
op="dialectic-inference", name="Dialectic API Response"
@ -74,15 +88,21 @@ class Dialectic:
<context>{self.user_representation}</context>
<conversation_history>{self.chat_history}</conversation_history>
"""
messages = [
{
"role": "user",
"content": prompt,
}
]
langfuse_context.update_current_observation(
input=messages, model=self.model
)
return self.client.messages.stream(
model="claude-3-5-sonnet-20240620",
model=self.model,
system=self.system_prompt,
messages=[
{
"role": "user",
"content": prompt,
}
],
messages=messages,
max_tokens=150,
)
@ -125,6 +145,7 @@ async def get_latest_user_representation(
)
@observe()
async def chat(
app_id: str,
user_id: str,
@ -149,6 +170,13 @@ async def chat(
chat_history=history,
)
langfuse_context.update_current_trace(
session_id=session_id,
user_id=user_id,
release=os.getenv("SENTRY_RELEASE"),
metadata={"environment": os.getenv("SENTRY_ENVIRONMENT")},
)
if stream:
return chain.stream()
response = chain.call()

24
src/db.py
View File

@ -3,7 +3,7 @@ import os
from alembic import command
from alembic.config import Config
from dotenv import load_dotenv
from sqlalchemy import MetaData
from sqlalchemy import MetaData, create_engine, inspect
from sqlalchemy.ext.asyncio import async_sessionmaker, create_async_engine
from sqlalchemy.orm import declarative_base
@ -45,5 +45,27 @@ def scaffold_db():
"""use a sync engine for scaffolding the database. ddl operations are unavailable
with async engines
"""
# Create engine
engine = create_engine(
os.environ["CONNECTION_URI"],
pool_pre_ping=True,
echo=True,
)
# Create inspector to check if database exists
inspector = inspect(engine)
print(inspector.get_table_names(Base.metadata.schema))
# If no tables exist, create them with SQLAlchemy
if not inspector.get_table_names(Base.metadata.schema):
print("No tables found. Creating database schema...")
Base.metadata.create_all(bind=engine)
# Clean up
engine.dispose()
# Run Alembic migrations regardless
print("Running database migrations...")
alembic_cfg = Config("alembic.ini")
command.upgrade(alembic_cfg, "head")

1
src/deriver/__main__.py
View File

@ -7,4 +7,3 @@ from .queue import main
if __name__ == "__main__":
asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
asyncio.run(main())

23
src/deriver/consumer.py
View File

@ -1,7 +1,9 @@
import logging
import os
import re
import sentry_sdk
from langfuse.decorators import langfuse_context, observe
from rich.console import Console
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
@ -49,6 +51,7 @@ async def process_item(db: AsyncSession, payload: dict):
@sentry_sdk.trace
@observe()
async def process_ai_message(
content: str,
app_id: str,
@ -84,6 +87,13 @@ async def process_ai_message(
# append current message to chat history
chat_history_str = f"{chat_history_str}\nai: {content}"
langfuse_context.update_current_trace(
session_id=session_id,
user_id=user_id,
release=os.getenv("SENTRY_RELEASE"),
metadata={"environment": os.getenv("SENTRY_ENVIRONMENT")},
)
tom_inference_response = await tom_inference(
chat_history_str, session_id=session_id
)
@ -105,6 +115,7 @@ async def process_ai_message(
@sentry_sdk.trace
@observe()
async def process_user_message(
content: str,
app_id: str,
@ -183,6 +194,13 @@ async def process_user_message(
existing_representation.content if existing_representation else "None"
)
langfuse_context.update_current_trace(
session_id=session_id,
user_id=user_id,
release=os.getenv("SENTRY_RELEASE"),
metadata={"environment": os.getenv("SENTRY_ENVIRONMENT")},
)
# Call user_representation
user_representation_response = await user_representation(
chat_history=f"{ai_message.content}\nhuman: {content}",
@ -204,7 +222,10 @@ async def process_user_message(
user_representation_response, "representation"
)
console.print(f"User Representation:\n{user_representation_response}", style="bright_green")
console.print(
f"User Representation:\n{user_representation_response}",
style="bright_green",
)
else:
raise Exception(

212
src/deriver/voe.py
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File diff suppressed because one or more lines are too long

16
src/security.py
View File

@ -1,12 +1,11 @@
import os
from typing import Annotated
import httpx
from fastapi import APIRouter, Depends, FastAPI, HTTPException, Request
from fastapi import Depends, HTTPException
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
USE_AUTH_SERVICE = os.getenv("USE_AUTH_SERVICE", "False").lower() == "true"
AUTH_SERVICE_URL = os.getenv("AUTH_SERVICE_URL", "http://localhost:8001")
SECRET_KEY = os.getenv("SECRET_KEY", "test")
security = HTTPBearer(
auto_error=False,
@ -18,15 +17,6 @@ async def auth(
):
if not USE_AUTH_SERVICE:
return True
print(credentials)
if not credentials or credentials.credentials != "test":
if not credentials or credentials.credentials != SECRET_KEY:
raise HTTPException(status_code=401, detail="Invalid access token")
# payload = {"token": token}
# res = httpx.get(
# f"{AUTH_SERVICE_URL}/validate",
# params=payload,
# )
# data = res.json()
return {"message": "OK"}
# return {"scheme": credentials.scheme, "token": credentials.credentials}

93
uv.lock
View File

@ -71,6 +71,15 @@ wheels = [
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[[package]]
name = "backoff"
version = "2.2.1"
source = { registry = "https://pypi.org/simple" }
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[[package]]
name = "certifi"
version = "2024.8.30"
@ -448,6 +457,7 @@ dependencies = [
{ name = "fastapi-pagination" },
{ name = "greenlet" },
{ name = "httpx" },
{ name = "langfuse" },
{ name = "nanoid" },
{ name = "openai" },
{ name = "pgvector" },
@ -476,6 +486,7 @@ requires-dist = [
{ name = "fastapi-pagination", specifier = ">=0.12.24" },
{ name = "greenlet", specifier = ">=3.0.3" },
{ name = "httpx", specifier = ">=0.27.0" },
{ name = "langfuse", specifier = ">=2.57.1" },
{ name = "nanoid", specifier = ">=2.0.0" },
{ name = "openai", specifier = ">=1.43.0" },
{ name = "pgvector", specifier = ">=0.2.5" },
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version = "2.57.1"
source = { registry = "https://pypi.org/simple" }
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