import glob
import json
import os
import shutil
import sys
import unittest

import dpdata
import numpy as np
from monty.serialization import dumpfn, loadfn
from pymatgen.io.vasp import Incar

sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
__package__ = "auto_test"

from dpgen.auto_test.EOS import EOS

from .context import make_kspacing_kpoints, setUpModule


class TestEOS(unittest.TestCase):
    def setUp(self):
        _jdata = {
            "structures": ["confs/std-fcc"],
            "interaction": {
                "type": "vasp",
                "incar": "vasp_input/INCAR.rlx",
                "potcar_prefix": ".",
                "potcars": {"Li": "vasp_input/POTCAR"},
            },
            "properties": [
                {
                    "type": "eos",
                    "skip": False,
                    "vol_start": 0.8,
                    "vol_end": 1.2,
                    "vol_step": 0.01,
                    "cal_setting": {
                        "relax_pos": True,
                        "relax_shape": True,
                        "relax_vol": False,
                        "overwrite_interaction": {
                            "type": "deepmd",
                            "model": "lammps_input/frozen_model.pb",
                            "type_map": {"Al": 0},
                        },
                    },
                }
            ],
        }

        self.equi_path = "confs/std-fcc/relaxation/relax_task"
        self.source_path = "equi/vasp"
        self.target_path = "confs/std-fcc/eos_00"
        if not os.path.exists(self.equi_path):
            os.makedirs(self.equi_path)

        self.confs = _jdata["structures"]
        self.inter_param = _jdata["interaction"]
        self.prop_param = _jdata["properties"]

        self.eos = EOS(_jdata["properties"][0])

    def tearDown(self):
        if os.path.exists(self.equi_path):
            shutil.rmtree(self.equi_path)
        if os.path.exists(self.target_path):
            shutil.rmtree(self.target_path)

    def test_task_type(self):
        self.assertEqual("eos", self.eos.task_type())

    def test_task_param(self):
        self.assertEqual(self.prop_param[0], self.eos.task_param())

    def test_make_confs_0(self):

        if not os.path.exists(os.path.join(self.equi_path, "CONTCAR")):
            with self.assertRaises(RuntimeError):
                self.eos.make_confs(self.target_path, self.equi_path)
        shutil.copy(
            os.path.join(self.source_path, "CONTCAR"),
            os.path.join(self.equi_path, "CONTCAR"),
        )
        task_list = self.eos.make_confs(self.target_path, self.equi_path)
        dfm_dirs = glob.glob(os.path.join(self.target_path, "task.*"))

        incar0 = Incar.from_file(os.path.join("vasp_input", "INCAR.rlx"))
        incar0["ISIF"] = 4

        for ii in dfm_dirs:
            self.assertTrue(os.path.isfile(os.path.join(ii, "POSCAR")))
            eos_json_file = os.path.join(ii, "eos.json")
            self.assertTrue(os.path.isfile(eos_json_file))
            eos_json = loadfn(eos_json_file)
            self.assertEqual(
                os.path.realpath(os.path.join(ii, "POSCAR.orig")),
                os.path.realpath(os.path.join(self.equi_path, "CONTCAR")),
            )
            sys = dpdata.System(os.path.join(ii, "POSCAR"))
            natoms = sys.get_natoms()
            self.assertAlmostEqual(
                eos_json["volume"], np.linalg.det(sys["cells"][0]) / natoms
            )

    def test_make_confs_1(self):
        self.eos.reprod = True
        shutil.copy(
            os.path.join(self.source_path, "CONTCAR"),
            os.path.join(self.equi_path, "CONTCAR"),
        )
        with self.assertRaises(RuntimeError):
            self.eos.make_confs(self.target_path, self.equi_path)
