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FusionAGI/fusionagi/schemas/commands.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

93 lines
3.0 KiB
Python

"""Interaction commands and user intent for Dvādaśa UX."""
import re
from enum import Enum
from pydantic import BaseModel, Field
from fusionagi.schemas.head import HeadId
class UserIntent(str, Enum):
"""User intent derived from commands or natural input."""
NORMAL = "normal"
HEAD_STRATEGY = "head_strategy"
SHOW_DISSENT = "show_dissent"
RERUN_RISK = "rerun_risk"
EXPLAIN_REASONING = "explain_reasoning"
SOURCES = "sources"
# Command patterns: /command [arg] or /command \n prompt
_COMMAND_PATTERNS: list[tuple[re.Pattern[str], UserIntent]] = [
(re.compile(r"^/head\s+(\w+)(?:\s+(.+))?\s*$", re.I | re.DOTALL), UserIntent.HEAD_STRATEGY),
(re.compile(r"^/show\s+dissent(?:\s+(.+))?\s*$", re.I | re.DOTALL), UserIntent.SHOW_DISSENT),
(re.compile(r"^/rerun\s+risk(?:\s+(.+))?\s*$", re.I | re.DOTALL), UserIntent.RERUN_RISK),
(re.compile(r"^/explain\s+reasoning(?:\s+(.+))?\s*$", re.I | re.DOTALL), UserIntent.EXPLAIN_REASONING),
(re.compile(r"^/sources(?:\s+(.+))?\s*$", re.I | re.DOTALL), UserIntent.SOURCES),
]
class ParsedCommand(BaseModel):
"""Parsed user command with intent and optional arguments."""
intent: UserIntent = Field(..., description="Detected intent")
head_id: HeadId | None = Field(default=None, description="For HEAD_STRATEGY: which head")
raw_input: str = Field(default="", description="Original user input")
cleaned_prompt: str = Field(default="", description="Prompt with command stripped if applicable")
def parse_user_input(text: str) -> ParsedCommand:
"""
Parse user input to detect commands and extract intent.
Examples:
"/head strategy" -> HEAD_STRATEGY, head_id=STRATEGY
"/show dissent" -> SHOW_DISSENT
"What is X?" -> NORMAL, cleaned_prompt="What is X?"
"""
stripped = (text or "").strip()
if not stripped:
return ParsedCommand(
intent=UserIntent.NORMAL,
raw_input=stripped,
cleaned_prompt=stripped,
)
for pattern, intent in _COMMAND_PATTERNS:
match = pattern.match(stripped)
if match:
head_id = None
cleaned = ""
if intent == UserIntent.HEAD_STRATEGY:
arg = (match.group(1) or "").lower()
rest = match.group(2) if match.lastindex and match.lastindex >= 2 else None
cleaned = (rest or "").strip()
try:
head_id = HeadId(arg)
except ValueError:
head_id = None
else:
rest = match.group(1) if match.lastindex and match.lastindex >= 1 else None
cleaned = (rest or "").strip()
return ParsedCommand(
intent=intent,
head_id=head_id,
raw_input=stripped,
cleaned_prompt=cleaned,
)
return ParsedCommand(
intent=UserIntent.NORMAL,
raw_input=stripped,
cleaned_prompt=stripped,
)
__all__ = [
"UserIntent",
"ParsedCommand",
"parse_user_input",
]