Files
vpd-permission-poc/ai-web-agent-console/ai_web_agent_console/mcp_result.py

81 lines
2.5 KiB
Python

"""Pure helpers for MCP result envelopes used by the Streamlit console."""
from __future__ import annotations
from collections.abc import Mapping
from typing import Any
def response_payload(value: Any) -> Mapping[str, Any]:
"""Return the business payload from a direct or nested MCP response."""
if not isinstance(value, Mapping):
return {}
nested = value.get("response")
return nested if isinstance(nested, Mapping) else value
def text_result(value: Any) -> str:
"""Return a textual `result` field without stringifying other structures."""
result = response_payload(value).get("result")
return result.strip() if isinstance(result, str) else ""
def status_result_summary(value: Any, *, excerpt_chars: int = 900) -> dict[str, Any]:
"""Build a safe UI summary for status/result-style compatibility tools."""
payload = response_payload(value)
summary: dict[str, Any] = {}
for key in ("status", "success", "error", "errorCode", "errorMessage"):
item = payload.get(key)
if item not in (None, "", []):
summary[key] = item
result = text_result(value)
if result:
summary["result_chars"] = len(result)
summary["result_excerpt"] = result[:excerpt_chars] + (
"..." if len(result) > excerpt_chars else ""
)
return summary
def status_result_evidence(value: Any, *, max_chars: int = 7000) -> dict[str, Any]:
"""Preserve bounded textual policy/data evidence for final answer synthesis."""
payload = response_payload(value)
evidence: dict[str, Any] = {}
for key in ("status", "success", "error", "errorCode", "errorMessage"):
item = payload.get(key)
if item not in (None, "", []):
evidence[key] = item
result = text_result(value)
if result:
evidence["result"] = result[:max_chars] + (
"..." if len(result) > max_chars else ""
)
evidence["result_chars"] = len(result)
return evidence
def has_actionable_text_result(value: Any) -> bool:
"""Return whether a textual result contains evidence worth stopping on."""
result = text_result(value)
if not result:
return False
normalized = " ".join(result.casefold().split())
return not any(
marker in normalized
for marker in ("no data found", "no evidence found", "error:")
)
__all__ = [
"has_actionable_text_result",
"response_payload",
"status_result_evidence",
"status_result_summary",
"text_result",
]