mirror of
https://github.com/shawnkim1997/All-in-one-Financial-Analysis.git
synced 2026-08-22 15:18:04 +00:00
25 lines
1.1 KiB
Python
25 lines
1.1 KiB
Python
|
"""Build compact copilot context with asset-type aware fields."""
|
||
|
|
|
||
|
|
from __future__ import annotations
|
||
|
|
|
||
|
|
|
||
|
|
def build_copilot_context(asset_type: str, data: dict) -> str:
|
||
|
|
parts: list[str] = []
|
||
|
|
if asset_type == "etf":
|
||
|
|
parts.append(f"[Asset Type] ETF — {data.get('category')}")
|
||
|
|
parts.append(f"[ETF] AUM: {data.get('aum')}, Expense: {data.get('expense_ratio')}")
|
||
|
|
r = data.get("returns") or {}
|
||
|
|
parts.append(f"[Performance] YTD: {r.get('ytd')}%, 1Y: {r.get('1y')}%")
|
||
|
|
elif asset_type == "commodity_future":
|
||
|
|
parts.append(f"[Asset Type] Commodity Future — {data.get('name')}")
|
||
|
|
parts.append(f"[Commodity] Open Interest: {data.get('open_interest')}")
|
||
|
|
seasonal = data.get("seasonal_pattern") or {}
|
||
|
|
if seasonal:
|
||
|
|
best_month = max(seasonal, key=lambda k: seasonal[k])
|
||
|
|
worst_month = min(seasonal, key=lambda k: seasonal[k])
|
||
|
|
parts.append(f"[Seasonal] Best month: {best_month}, Worst: {worst_month}")
|
||
|
|
else:
|
||
|
|
parts.append("[Asset Type] Equity")
|
||
|
|
parts.append(f"[Sector] {data.get('sector')}")
|
||
|
|
return "\n".join(parts)
|