"""
Phase Boundary Detection

Detects the CHECK proceed boundary in a transaction to split calibration
into noetic (PREFLIGHT→CHECK) and praxic (CHECK→POSTFLIGHT) phases.

The CHECK gate is the natural boundary — it already separates investigation
from action. Phase-aware calibration respects this boundary instead of
treating the entire transaction as one undifferentiated block.
"""
import json
import logging

logger = logging.getLogger(__name__)


def detect_phase_boundary(session_id: str, db) -> dict:
    """Find the CHECK proceed boundary in a transaction.

    Queries the reflexes table for PREFLIGHT, CHECK, POSTFLIGHT entries.
    The last CHECK with decision="proceed" marks the noetic→praxic boundary.

    Returns:
        {
            "has_check": bool,
            "proceed_check_timestamp": float | None,
            "proceed_check_vectors": dict | None,
            "preflight_vectors": dict | None,
            "preflight_timestamp": float | None,
            "noetic_only": bool,  # True if no proceed CHECK
            "check_count": int,
            "investigate_count": int,
        }
    """
    result = {
        "has_check": False,
        "proceed_check_timestamp": None,
        "proceed_check_vectors": None,
        "preflight_vectors": None,
        "preflight_timestamp": None,
        "noetic_only": False,
        "check_count": 0,
        "investigate_count": 0,
    }

    try:
        cursor = db.conn.cursor()

        # Get PREFLIGHT vectors and timestamp
        cursor.execute("""
            SELECT timestamp, know, uncertainty, completion, context,
                   do, signal, coherence, engagement
            FROM reflexes
            WHERE session_id = ? AND phase = 'PREFLIGHT'
            ORDER BY timestamp DESC LIMIT 1
        """, (session_id,))
        preflight_row = cursor.fetchone()

        if preflight_row:
            result["preflight_timestamp"] = preflight_row[0]
            result["preflight_vectors"] = {
                "know": preflight_row[1],
                "uncertainty": preflight_row[2],
                "completion": preflight_row[3],
                "context": preflight_row[4],
                "do": preflight_row[5],
                "signal": preflight_row[6],
                "coherence": preflight_row[7],
                "engagement": preflight_row[8],
            }

        # Get all CHECK entries
        cursor.execute("""
            SELECT timestamp, reflex_data, know, uncertainty, completion,
                   context, do, signal, coherence, engagement
            FROM reflexes
            WHERE session_id = ? AND phase = 'CHECK'
            ORDER BY timestamp ASC
        """, (session_id,))
        check_rows = cursor.fetchall()

        if not check_rows:
            return result

        result["has_check"] = True
        result["check_count"] = len(check_rows)

        # Find the last proceed CHECK
        proceed_row = None
        investigate_count = 0
        for row in check_rows:
            try:
                data = json.loads(row[1]) if row[1] else {}
                decision = data.get("decision", "")
                if decision == "proceed":
                    proceed_row = row
                elif decision == "investigate":
                    investigate_count += 1
            except (json.JSONDecodeError, TypeError):
                pass

        result["investigate_count"] = investigate_count

        if proceed_row:
            result["proceed_check_timestamp"] = proceed_row[0]
            result["proceed_check_vectors"] = {
                "know": proceed_row[2],
                "uncertainty": proceed_row[3],
                "completion": proceed_row[4],
                "context": proceed_row[5],
                "do": proceed_row[6],
                "signal": proceed_row[7],
                "coherence": proceed_row[8],
                "engagement": proceed_row[9],
            }
        else:
            # All CHECKs were investigate — noetic-only session
            result["noetic_only"] = True
            # Use the last CHECK vectors as the noetic endpoint
            last_check = check_rows[-1]
            result["proceed_check_timestamp"] = last_check[0]
            result["proceed_check_vectors"] = {
                "know": last_check[2],
                "uncertainty": last_check[3],
                "completion": last_check[4],
                "context": last_check[5],
                "do": last_check[6],
                "signal": last_check[7],
                "coherence": last_check[8],
                "engagement": last_check[9],
            }

    except Exception as e:
        logger.debug(f"Phase boundary detection failed (non-fatal): {e}")

    return result
