# Results.py -- Pamhyr
# Copyright (C) 2023-2025  INRAE
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <https://www.gnu.org/licenses/>.

import struct
import logging
import itertools
import numpy as np

from copy import deepcopy
from datetime import datetime

from Model.Scenario import Scenario
from Model.Tools.PamhyrDB import SQLSubModel
from Model.Results.River.River import River

logger = logging.getLogger()


class Results(SQLSubModel):
    _sub_classes = [River]

    def __init__(self, id=-1, study=None, solver=None,
                 repertory="", name="0"):
        super(Results, self).__init__(
            id=id, status=study.status,
            owner_scenario=study.status.scenario.id
        )

        self._name = name
        self._study = study
        self._river = River(self._study)

        self._solver = solver
        self._repertory = repertory

        self._meta_data = {
            # Keep results creation date
            "creation_date": datetime.now(),
            "study_revision": study.status.version,
        }

        if solver is not None:
            self.set("solver_type", solver._type)

    @property
    def date(self):
        date = self._meta_data["creation_date"]
        return f"{date.isoformat(sep=' ')}"

    @property
    def river(self):
        return self._river

    @property
    def study(self):
        return self._study

    def set(self, key, value):
        self._meta_data[key] = value

    @property
    def is_valid(self):
        return ("timestamps" in self._meta_data)

    @property
    def solver_name(self):
        if self._solver is None:
            return self._meta_data["solver_name"]

        return self._solver.name

    def get(self, key):
        return self._meta_data[key]

    def reload(self):
        return self._solver.results(
            self._study,
            self._repertory,
            qlog=None,
        )

    def timestamps_to_struct(self):
        ts = self._meta_data["timestamps"]
        sf = ">" + ''.join(itertools.repeat("d", len(ts)))

        return struct.pack(sf, ts)

    @classmethod
    def _db_create(cls, execute, ext=""):
        execute(f"""
          CREATE TABLE results{ext} (
            {cls.create_db_add_pamhyr_id()},
            solver_name TEXT NOT NULL,
            solver_type TEXT NOT NULL,
            study_revision INTEGER NOT NULL,
            creation_data DATE NOT NULL,
            nb_timestamps INTEGER NOT NULL,
            timestamps BLOB NOT NULL,
            {Scenario.create_db_add_scenario()},
            {Scenario.create_db_add_scenario_fk()},
            PRIMARY KEY(pamhyr_id, scenario)
          )
        """)

        if ext != "":
            return True

        return cls._create_submodel(execute)

    @classmethod
    def _db_update(cls, execute, version, data=None):
        major, minor, release = version.strip().split(".")
        create = False

        if major == "0" and int(minor) < 2:
            cls._db_create(execute)
            create = True

        if major == "0" and int(minor) == 2:
            if int(release) < 1 and not create:
                cls._db_create(execute)
                create = True

        return cls._update_submodel(execute, version, data)

    @classmethod
    def _db_load(cls, execute, data=None):
        new = None

        study = data['study']
        status = data['status']
        scenario = data["scenario"]

        table = execute(
            "SELECT pamhyr_id, solver_name, solver_type, " +
            "study_revision, creation_data, nb_timestamps, timestamps, " +
            "scenario " +
            "FROM results " +
            f"WHERE scenario = {scenario.id}"
        )

        if table is None:
            yield

        if len(table) > 1:
            logger.warning("Multiple results for this scenario")

        for v in table:
            it = iter(v)

            pid = next(it)
            solver_name = next(it)
            solver_type = next(it)
            revision = next(it)
            creation_date = next(it)
            nb_timestamps = next(it)
            timestamps_bytes = next(it)
            owner_scenario = next(it)

            new_results = cls(study=study)

            new_results.set("solver_name", solver_name)
            new_results.set("solver_type", solver_type)
            new_results.set("study_revision", revision)
            new_results.set("creation_date", creation_date)

            sf = ">" + ''.join(itertools.repeat("d", nb_timestamps))
            ts = struct.unpack(sf, timestamps_bytes)
            new_results.set("timestamps", ts)

            data["timestamps"] = sorted(ts)
            new_results._river = River._db_load(execute, data)

            yield (solver_type, new_results)

    def _db_save_clear(self, execute, solver_type, data=None):
        old_pid = execute(
            "SELECT pamhyr_id FROM results " +
            f"WHERE scenario = {self._owner_scenario} " +
            f"AND solver_type = '{solver_type}'"
        )
        if len(old_pid) != 0:
            for pid in old_pid:
                pid = pid[0]

                execute(
                    "DELETE FROM results " +
                    f"WHERE scenario = {self._owner_scenario} " +
                    f"AND solver_type = '{solver_type}'"
                )
                execute(
                    "DELETE FROM results_data " +
                    f"WHERE scenario = {self._owner_scenario} " +
                    f"AND result = {pid}"
                )

    def _db_save(self, execute, data=None):
        if self._status.scenario.id != self._owner_scenario:
            return

        pid = self._pamhyr_id
        if self._solver is None:
            solver_name = self.get("solver_name")
            solver_type = self.get("solver_type")
        else:
            solver_name = self._solver._name
            solver_type = self._solver._type

        self._db_save_clear(execute, solver_type, data=data)

        ts = sorted(self.get("timestamps"))
        sf = ">" + ''.join(itertools.repeat("d", len(ts)))

        execute(
            "INSERT INTO " +
            "results (pamhyr_id, solver_name, solver_type, " +
            "study_revision, creation_data, " +
            "nb_timestamps, timestamps, " +
            "scenario) VALUES (?, ?, ?, ?, ?, ?, ?, ?)",
            self._pamhyr_id, solver_name, solver_type,
            self._status.version, self.get("creation_date"),
            len(ts), struct.pack(sf, *ts), self._owner_scenario
        )

        data["result"] = self._pamhyr_id
        self._river._db_save(execute, data)

        return True