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chore: import upstream snapshot with attribution
2026-07-13 11:56:03 +08:00

73 lines
2.2 KiB
Python

"""Helpers for reading the effective fallback provider chain from config."""
from __future__ import annotations
from typing import Any
def _normalized_base_url(value: Any) -> str:
if not isinstance(value, str):
return ""
return value.strip().rstrip("/")
def _iter_fallback_entries(raw: Any) -> list[dict[str, Any]]:
if isinstance(raw, dict):
candidates = [raw]
elif isinstance(raw, list):
candidates = raw
else:
return []
entries: list[dict[str, Any]] = []
for entry in candidates:
if not isinstance(entry, dict):
continue
provider = str(entry.get("provider") or "").strip()
model = str(entry.get("model") or "").strip()
if not provider or not model:
continue
normalized = dict(entry)
normalized["provider"] = provider
normalized["model"] = model
base_url = _normalized_base_url(entry.get("base_url"))
if base_url:
normalized["base_url"] = base_url
entries.append(normalized)
return entries
def _entry_identity(entry: dict[str, Any]) -> tuple[str, str, str]:
return (
str(entry.get("provider") or "").strip().lower(),
str(entry.get("model") or "").strip().lower(),
_normalized_base_url(entry.get("base_url")).lower(),
)
def get_fallback_chain(config: dict[str, Any] | None) -> list[dict[str, Any]]:
"""Return the effective fallback chain merged across old and new config keys.
``fallback_providers`` remains the primary source of truth and keeps its
order. Legacy ``fallback_model`` entries are appended afterwards unless
they target the same provider/model/base_url route as an earlier entry.
The returned list always contains fresh dict copies.
"""
config = config or {}
chain: list[dict[str, Any]] = []
seen: set[tuple[str, str, str]] = set()
for key in ("fallback_providers", "fallback_model"):
for entry in _iter_fallback_entries(config.get(key)):
identity = _entry_identity(entry)
if identity in seen:
continue
seen.add(identity)
chain.append(entry)
return chain