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.analysis.defects.core import Vacancy as pmg_Vacancy
from pymatgen.core import Structure
from pymatgen.io.vasp import Incar
from pymatgen.symmetry.analyzer import SpacegroupAnalyzer

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

from dpgen.auto_test.Vacancy import Vacancy

from .context import make_kspacing_kpoints, setUpModule


class TestVacancy(unittest.TestCase):
    def setUp(self):
        _jdata = {
            "structures": ["confs/hp-Li"],
            "interaction": {
                "type": "vasp",
                "incar": "vasp_input/INCAR.rlx",
                "potcar_prefix": ".",
                "potcars": {"Yb": "vasp_input/POTCAR"},
            },
            "properties": [{"type": "vacancy", "supercell": [1, 1, 1]}],
        }

        self.equi_path = "confs/hp-Li/relaxation/relax_task"
        self.source_path = "equi/vasp"
        self.target_path = "confs/hp-Li/vacancy_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.vacancy = Vacancy(_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("vacancy", self.vacancy.task_type())

    def test_task_param(self):
        self.assertEqual(self.prop_param[0], self.vacancy.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.vacancy.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.vacancy.make_confs(self.target_path, self.equi_path)
        dfm_dirs = glob.glob(os.path.join(self.target_path, "task.*"))
        self.assertEqual(len(dfm_dirs), 5)

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

        self.assertEqual(
            os.path.realpath(os.path.join(self.equi_path, "CONTCAR")),
            os.path.realpath(os.path.join(self.target_path, "POSCAR")),
        )
        ref_st = Structure.from_file(os.path.join(self.target_path, "POSCAR"))
        sga = SpacegroupAnalyzer(ref_st)
        sym_st = sga.get_symmetrized_structure()
        equiv_site_seq = list(sym_st.equivalent_sites)
        dfm_dirs.sort()
        for ii in dfm_dirs:
            st_file = os.path.join(ii, "POSCAR")
            self.assertTrue(os.path.isfile(st_file))
            st0 = Structure.from_file(st_file)
            vac_site = equiv_site_seq.pop(0)
            vac = pmg_Vacancy(ref_st, vac_site[0])
            st1 = vac.get_supercell_structure(
                sc_mat=np.eye(3) * self.prop_param[0]["supercell"]
            )
            self.assertEqual(st0, st1)
