"""raise agent runtime profile timeouts above validation floor

Revision ID: 20260517_agent_runtime_valid_profile_timeouts
Revises: 20260516_agent_answer_composer_budget
Create Date: 2026-05-17
"""

from __future__ import annotations

import json
import os
from typing import Any

from alembic import op
import sqlalchemy as sa


revision = "20260517_agent_runtime_valid_profile_timeouts"
down_revision = "20260516_agent_answer_composer_budget"
branch_labels = None
depends_on = None


PROFILE_UPDATES: dict[str, dict[str, Any]] = {
    "pmflow_ai_agent_goal_frame": {
        "provider_timeout_seconds": 20,
        "job_timeout_seconds": 24,
        "foreground_wait_seconds": 8,
        "max_tokens": 1600,
        "repair_max_tokens": 600,
        "response_mode": "fast",
        "runtime_mode": "active",
        "quality_gate_mode": "off",
    },
    "pmflow_ai_agent_step_planner": {
        "provider_timeout_seconds": 20,
        "job_timeout_seconds": 24,
        "foreground_wait_seconds": 8,
        "max_tokens": 1600,
        "repair_max_tokens": 600,
        "response_mode": "fast",
        "runtime_mode": "active",
        "quality_gate_mode": "off",
    },
    "pmflow_ai_agent_state_critic": {
        "provider_timeout_seconds": 16,
        "job_timeout_seconds": 20,
        "foreground_wait_seconds": 6,
        "max_tokens": 1600,
        "repair_max_tokens": 600,
        "response_mode": "fast",
        "runtime_mode": "active",
        "quality_gate_mode": "off",
    },
    "pmflow_ai_agent_answer_composer": {
        "provider_timeout_seconds": 35,
        "job_timeout_seconds": 40,
        "foreground_wait_seconds": 10,
        "max_tokens": 3600,
        "repair_max_tokens": 900,
        "response_mode": "fast",
        "runtime_mode": "active",
        "quality_gate_mode": "off",
    },
    "pmflow_ai_agent_answer_reviser": {
        "provider_timeout_seconds": 20,
        "job_timeout_seconds": 24,
        "foreground_wait_seconds": 8,
        "max_tokens": 2600,
        "repair_max_tokens": 900,
        "response_mode": "fast",
        "runtime_mode": "active",
        "quality_gate_mode": "off",
    },
}


def _table_exists(bind: Any, table_name: str) -> bool:
    return sa.inspect(bind).has_table(table_name)


def upgrade() -> None:
    bind = op.get_bind()
    if not _table_exists(bind, "integrations"):
        return
    tenant_id = int(os.getenv("PMFLOW_PLATFORM_RUNTIME_TENANT_ID", "1") or "1")
    row = bind.execute(
        sa.text(
            """
            SELECT id, config FROM integrations
            WHERE tenant_id = :tenant_id
              AND type = 'ai_function_runtime_profiles'
              AND is_active = true
            ORDER BY id DESC
            LIMIT 1
            """
        ),
        {"tenant_id": tenant_id},
    ).mappings().first()
    if row is None:
        return
    config = row.get("config") if isinstance(row.get("config"), dict) else {}
    changed = False
    for stage in ("active", "draft"):
        stage_packet = config.get(stage) if isinstance(config.get(stage), dict) else {}
        profiles = stage_packet.get("profiles") if isinstance(stage_packet.get("profiles"), dict) else {}
        for function_name, updates in PROFILE_UPDATES.items():
            profile = profiles.get(function_name)
            if not isinstance(profile, dict):
                continue
            for key, value in updates.items():
                if profile.get(key) != value:
                    profile[key] = value
                    changed = True
    if not changed:
        return
    config["active_version"] = "profile-v20260517-agent-runtime-valid-profile-timeouts"
    config["version"] = config["active_version"]
    bind.execute(
        sa.text("UPDATE integrations SET config = CAST(:config AS jsonb) WHERE id = :id"),
        {"id": int(row["id"]), "config": json.dumps(config, ensure_ascii=False)},
    )


def downgrade() -> None:
    return None