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FusionAGI/fusionagi/adapters/stub_adapter.py
Devin AI 445865e429
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fix: deep GPU integration, fix all ruff/mypy issues, add .dockerignore
- Integrate GPU scoring inline into reasoning/multi_path.py (auto-uses GPU when available)
- Integrate GPU deduplication into multi_agent/consensus_engine.py
- Add semantic_search() method to memory/semantic_graph.py with GPU acceleration
- Integrate GPU training into self_improvement/training.py AutoTrainer
- Fix all 758 ruff lint issues (whitespace, import sorting, unused imports, ambiguous vars, undefined names)
- Fix all 40 mypy type errors across the codebase (no-any-return, union-attr, arg-type, etc.)
- Fix deprecated ruff config keys (select/ignore -> [tool.ruff.lint])
- Add .dockerignore to exclude .venv/, tests/, docs/ from Docker builds
- Add type hints and docstrings to verification/outcome.py
- Fix E402 import ordering in witness_agent.py
- Fix F821 undefined names in vector_pgvector.py and native.py
- Fix E741 ambiguous variable names in reflective.py and recommender.py

All 276 tests pass. 0 ruff errors. 0 mypy errors.

Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
2026-04-28 05:48:37 +00:00

68 lines
2.0 KiB
Python

"""Stub LLM adapter for tests; returns fixed responses."""
import json
from typing import Any
from fusionagi.adapters.base import LLMAdapter
class StubAdapter(LLMAdapter):
"""
Returns configurable fixed responses; no API calls.
Useful for testing without making actual LLM API calls.
Supports both text and structured (JSON) responses.
"""
def __init__(
self,
response: str = "Stub response",
structured_response: dict[str, Any] | list[Any] | None = None,
) -> None:
"""
Initialize the stub adapter.
Args:
response: Fixed text response for complete().
structured_response: Fixed structured response for complete_structured().
"""
self._response = response
self._structured_response = structured_response
def complete(
self,
messages: list[dict[str, str]],
**kwargs: Any,
) -> str:
"""Return the configured stub response."""
return self._response
def complete_structured(
self,
messages: list[dict[str, str]],
schema: dict[str, Any] | None = None,
**kwargs: Any,
) -> Any:
"""
Return the configured structured response.
If no structured_response was configured, attempts to parse
the text response as JSON, or returns None.
"""
if self._structured_response is not None:
return self._structured_response
# Try to parse text response as JSON
try:
return json.loads(self._response)
except json.JSONDecodeError:
return None
def set_response(self, response: str) -> None:
"""Update the text response (useful for test scenarios)."""
self._response = response
def set_structured_response(self, response: dict[str, Any] | list[Any] | None) -> None:
"""Update the structured response (useful for test scenarios)."""
self._structured_response = response