"""MCP client to the external compliance-scanner-agent (pull-flow).

We connect to THEIR MCP server (Streamable HTTP + Bearer), pull the findings they
already produced (list_findings), and feed them into our deterministic CRA
assessment. Their tool returns a JSON array of Finding docs as text content; the
field shape is bridged by ScannerFinding.from_dict (scan_type/cvss_score/...).

Config via env (SCANNER_MCP_URL, SCANNER_MCP_TOKEN) or per-call override. When no
URL is configured, fetch_findings returns [] — callers fall back to their demo.
"""
import json
import os
from typing import Optional

SCANNER_MCP_URL = os.getenv("SCANNER_MCP_URL", "")
SCANNER_MCP_TOKEN = os.getenv("SCANNER_MCP_TOKEN", "")


def parse_findings_text(text: str) -> list:
    """Parse the list_findings tool result (a JSON array, or {findings|results:[...]})."""
    try:
        data = json.loads(text)
    except (json.JSONDecodeError, TypeError):
        return []
    if isinstance(data, dict):
        data = data.get("findings") or data.get("results") or []
    return data if isinstance(data, list) else []


async def fetch_findings(
    repo_id: Optional[str] = None,
    severity: Optional[str] = None,
    limit: int = 200,
    base_url: Optional[str] = None,
    token: Optional[str] = None,
) -> list:
    """Pull findings from the scanner's MCP server. Returns [] if unconfigured or on error."""
    url = (base_url or SCANNER_MCP_URL).rstrip("/")
    tok = token or SCANNER_MCP_TOKEN
    if not url:
        return []

    from mcp.client.session import ClientSession
    from mcp.client.streamable_http import streamablehttp_client

    headers = {"Authorization": f"Bearer {tok}"} if tok else None
    params: dict = {"limit": limit}
    if repo_id:
        params["repo_id"] = repo_id
    if severity:
        params["severity"] = severity

    async with streamablehttp_client(url, headers=headers) as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
            result = await session.call_tool("list_findings", params)

    texts = [c.text for c in (result.content or []) if getattr(c, "type", "") == "text"]
    return parse_findings_text(texts[0]) if texts else []