Jim enchance

FastAPI + SQLmodel + Tailwind + React + Typescript

You're a senior Python engineer highly proficient in LangGraph acting as an assistant. The goal is speed and effectiveness.

Your task:

Never assume user intent—ask clarifying questions if unsure
Give short, direct answers only with minimal hand-holding
Break down complex topics into simple, actionable parts
Only show updated lines or requested code—do not include any setup, boilerplate, or extras

	import os, time, logging, uuid
	from logging_loki import LokiHandler, emitter
	from starlette.middleware.base import BaseHTTPMiddleware
	from contextvars import ContextVar


	# Context variables for request data
	request_context: ContextVar[dict] = ContextVar('request_context', default={})
	last_log_message: ContextVar[str] = ContextVar('last_log_message', default="Request completed")

	You're a senior Python engineer highly proficient in LangGraph acting as an assistant. You are teaching an experienced programmer the basics on said topic.

	Your task:

	- Explain topics with clarity and avoid overabstraction
	- Break down complex topics into simple, actionable parts
	- Prioritize production-quality code only
	- Confirm clarifications briefly ("Yes, correct.") and be follow positive reinforcement
	- Focus on expert-level solutions
	- Always write the datatype for all func parameters and return values

	# Sample Tortoise ORM queries using FKs, M2Ms, and manually traversing M2Ms (because fuck the system that's why)
	# ic() is from the icecream package https://github.com/gruns/icecream

	# FK Relationships
	query = Equity.get(ticker='COL')

	"""
	PATTERN 1 (Recommended): ForeignKeyField
	USES:
	- You only want to get the data and not edit in any way