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chore: import upstream snapshot with attribution
2026-07-13 11:58:51 +08:00

263 lines
10 KiB
Python

import logging
from .alpha_vantage import (
get_balance_sheet as get_alpha_vantage_balance_sheet,
get_cashflow as get_alpha_vantage_cashflow,
get_fundamentals as get_alpha_vantage_fundamentals,
get_global_news as get_alpha_vantage_global_news,
get_income_statement as get_alpha_vantage_income_statement,
get_indicator as get_alpha_vantage_indicator,
get_insider_transactions as get_alpha_vantage_insider_transactions,
get_news as get_alpha_vantage_news,
get_stock as get_alpha_vantage_stock,
)
from .config import get_config
from .errors import (
NoMarketDataError,
VendorNotConfiguredError,
VendorRateLimitError,
)
from .fred import get_macro_data as get_fred_macro_data
from .polymarket import get_prediction_markets as get_polymarket_prediction_markets
from .y_finance import (
get_balance_sheet as get_yfinance_balance_sheet,
get_cashflow as get_yfinance_cashflow,
get_fundamentals as get_yfinance_fundamentals,
get_income_statement as get_yfinance_income_statement,
get_insider_transactions as get_yfinance_insider_transactions,
get_stock_stats_indicators_window,
get_YFin_data_online,
)
from .yfinance_news import get_global_news_yfinance, get_news_yfinance
logger = logging.getLogger(__name__)
# Tools organized by category
TOOLS_CATEGORIES = {
"core_stock_apis": {
"description": "OHLCV stock price data",
"tools": [
"get_stock_data"
]
},
"technical_indicators": {
"description": "Technical analysis indicators",
"tools": [
"get_indicators"
]
},
"fundamental_data": {
"description": "Company fundamentals",
"tools": [
"get_fundamentals",
"get_balance_sheet",
"get_cashflow",
"get_income_statement"
]
},
"news_data": {
"description": "News and insider data",
"tools": [
"get_news",
"get_global_news",
"get_insider_transactions",
]
},
"macro_data": {
"description": "Macroeconomic indicators (rates, inflation, labor, growth)",
"tools": [
"get_macro_indicators",
]
},
"prediction_markets": {
"description": "Market-implied probabilities for forward-looking events",
"tools": [
"get_prediction_markets",
]
}
}
VENDOR_LIST = [
"yfinance",
"fred",
"polymarket",
"alpha_vantage",
]
# Optional enrichment categories. These add macro/event context to the news
# analyst but are not core to a decision, so a vendor failure here degrades to a
# sentinel instead of aborting the run (a bad LLM-supplied indicator, a missing
# key, or a network blip should not crash an analysis over flavour data). Core
# categories (prices, fundamentals, news) still raise so a broken primary is loud.
OPTIONAL_CATEGORIES = {"macro_data", "prediction_markets"}
# Mapping of methods to their vendor-specific implementations
VENDOR_METHODS = {
# core_stock_apis
"get_stock_data": {
"alpha_vantage": get_alpha_vantage_stock,
"yfinance": get_YFin_data_online,
},
# technical_indicators
"get_indicators": {
"alpha_vantage": get_alpha_vantage_indicator,
"yfinance": get_stock_stats_indicators_window,
},
# fundamental_data
"get_fundamentals": {
"alpha_vantage": get_alpha_vantage_fundamentals,
"yfinance": get_yfinance_fundamentals,
},
"get_balance_sheet": {
"alpha_vantage": get_alpha_vantage_balance_sheet,
"yfinance": get_yfinance_balance_sheet,
},
"get_cashflow": {
"alpha_vantage": get_alpha_vantage_cashflow,
"yfinance": get_yfinance_cashflow,
},
"get_income_statement": {
"alpha_vantage": get_alpha_vantage_income_statement,
"yfinance": get_yfinance_income_statement,
},
# news_data
"get_news": {
"alpha_vantage": get_alpha_vantage_news,
"yfinance": get_news_yfinance,
},
"get_global_news": {
"yfinance": get_global_news_yfinance,
"alpha_vantage": get_alpha_vantage_global_news,
},
"get_insider_transactions": {
"alpha_vantage": get_alpha_vantage_insider_transactions,
"yfinance": get_yfinance_insider_transactions,
},
# macro_data
"get_macro_indicators": {
"fred": get_fred_macro_data,
},
# prediction_markets
"get_prediction_markets": {
"polymarket": get_polymarket_prediction_markets,
},
}
def get_category_for_method(method: str) -> str:
"""Get the category that contains the specified method."""
for category, info in TOOLS_CATEGORIES.items():
if method in info["tools"]:
return category
raise ValueError(f"Method '{method}' not found in any category")
def get_vendor(category: str, method: str = None) -> str:
"""Get the configured vendor for a data category or specific tool method.
Tool-level configuration takes precedence over category-level.
"""
config = get_config()
# Check tool-level configuration first (if method provided)
if method:
tool_vendors = config.get("tool_vendors", {})
if method in tool_vendors:
return tool_vendors[method]
# Fall back to category-level configuration
return config.get("data_vendors", {}).get(category, "default")
def route_to_vendor(method: str, *args, **kwargs):
"""Route method calls to appropriate vendor implementation with fallback support."""
category = get_category_for_method(method)
vendor_config = get_vendor(category, method)
primary_vendors = [v.strip() for v in vendor_config.split(',')]
if method not in VENDOR_METHODS:
raise ValueError(f"Method '{method}' not supported")
all_available_vendors = list(VENDOR_METHODS[method].keys())
# The configured vendor list IS the chain: we do NOT silently fall back to
# vendors the user did not choose (#988/#289) — that returned data from an
# unexpected source and caused cross-vendor inconsistencies. For multi-vendor
# fallback, list them in order, e.g. data_vendors="yfinance,alpha_vantage".
# The "default" sentinel (no explicit config) uses all available vendors.
explicit = [v for v in primary_vendors if v and v != "default"]
if explicit:
vendor_chain = [v for v in explicit if v in VENDOR_METHODS[method]]
if not vendor_chain:
raise ValueError(
f"Configured vendor(s) {explicit} not available for '{method}'. "
f"Available: {all_available_vendors}."
)
else:
vendor_chain = all_available_vendors
last_no_data: NoMarketDataError | None = None
first_error: Exception | None = None
for vendor in vendor_chain:
vendor_impl = VENDOR_METHODS[method][vendor]
impl_func = vendor_impl[0] if isinstance(vendor_impl, list) else vendor_impl
try:
return impl_func(*args, **kwargs)
except VendorRateLimitError:
logger.warning("Vendor %r rate-limited for %s; trying next vendor.", vendor, method)
continue
except VendorNotConfiguredError as e:
logger.warning("Vendor %r not configured for %s; trying next vendor.", vendor, method)
if first_error is None:
first_error = e # Surface it if no other vendor can serve the call.
continue
except NoMarketDataError as e:
last_no_data = e # No data here; another configured vendor may have it
continue
except Exception as e:
# Don't let one vendor's failure crash the call when another can
# serve it, but never swallow silently: a broken primary must be
# visible in the logs (#989), not hidden behind a fallback's verdict.
logger.warning("Vendor %r failed for %s: %s", vendor, method, e)
if first_error is None:
first_error = e
continue
# If any vendor reported "no data", the symbol is genuinely unavailable.
# Return one explicit, instructive sentinel rather than a vendor-specific
# empty string, so the agent reports "unavailable" instead of inventing a
# value. This takes precedence over incidental fallback errors.
if last_no_data is not None:
if first_error is not None:
# A vendor also hit a real error; surface it in logs so the no-data
# verdict can't hide a broken primary (network/auth/etc.).
logger.warning(
"Returning NO_DATA for %s, but a vendor errored earlier: %s",
method, first_error,
)
sym = last_no_data.symbol
canonical = last_no_data.canonical
resolved = "" if canonical == sym else f" (resolved to '{canonical}')"
# Surface the typed error's detail (e.g. "latest row is 2025-06-11 ...
# stale") so the agent sees the specific reason — invalid symbol, no
# coverage, or stale data — not just a generic "unavailable".
reason = f" ({last_no_data.detail})" if last_no_data.detail else ""
return (
f"NO_DATA_AVAILABLE: No usable market data for '{sym}'{resolved} from "
f"any configured vendor{reason}. The symbol may be invalid, delisted, "
f"not covered, or the vendor returned stale data. Do not estimate or "
f"fabricate values — report that data is unavailable for this symbol."
)
# No vendor returned data and none reported clean "no data" — surface the
# first real error (e.g. the primary vendor's network failure). Optional
# enrichment categories degrade to a sentinel instead, so flavour data can't
# abort the run.
if first_error is not None:
if category in OPTIONAL_CATEGORIES:
logger.warning("Optional %s unavailable for %s: %s", category, method, first_error)
return (
f"DATA_UNAVAILABLE: optional {category} could not be retrieved "
f"({first_error}). Proceed without it; do not fabricate values."
)
raise first_error
raise RuntimeError(f"No available vendor for '{method}'")