"""
Class definition for SqliteRecorder, which provides dictionary backed by SQLite.
"""

from copy import deepcopy
from io import BytesIO
from collections import OrderedDict

import os
import sqlite3
from itertools import chain

import json
import numpy as np

import pickle

from openmdao.recorders.case_recorder import CaseRecorder
from openmdao.utils.mpi import MPI
from openmdao.utils.record_util import dict_to_structured_array
from openmdao.utils.options_dictionary import OptionsDictionary
from openmdao.utils.general_utils import simple_warning, make_serializable, default_noraise
from openmdao.core.driver import Driver
from openmdao.core.system import System
from openmdao.core.problem import Problem
from openmdao.solvers.solver import Solver


"""
SQL case database version history.
----------------------------------
11-- OpenMDAO 3.2
     IndepVarComps are created automatically, so this changes some bookkeeping.
10-- OpenMDAO 3.0
     Added abs_err and rel_err recording to Problem recording
9 -- OpenMDAO 3.0
     Changed the character to split the derivatives from 'of,wrt' to 'of!wrt' to allow for commas
     in variable names
8 -- OpenMDAO 3.0
     Added inputs, outputs, and residuals fields to problem_cases table. Added
     outputs and residuals fields to driver_iterations table
7 -- OpenMDAO 3.0
     Added derivatives field to table for recording problems.
6 -- OpenMDAO 3.X
     Removed abs2prom from the driver_metadata table.
5 -- OpenMDAO 2.5
     Added source column (driver name, system/solver pathname) to global iterations table.
4 -- OpenMDAO 2.4
     Added variable settings metadata that contains scaling info.
3 -- OpenMDAO 2.4
     Storing most data as JSON rather than binary numpy arrays.
2 -- OpenMDAO 2.4, merged 20 July 2018.
     Added support for recording derivatives from driver, resulting in a new table.
1 -- Through OpenMDAO 2.3
     Original implementation.
"""
format_version = 11


def array_to_blob(array):
    """
    Make numpy array in to BLOB type.

    Convert a numpy array to something that can be written
    to a BLOB field in sqlite.

    TODO: move this to a util file?

    Parameters
    ----------
    array : array
        The array that will be converted to a blob.

    Returns
    -------
    blob :
        The blob created from the array.

    """
    out = BytesIO()
    np.save(out, array)
    out.seek(0)
    return sqlite3.Binary(out.read())


def blob_to_array(blob):
    """
    Convert sqlite BLOB to numpy array.

    TODO: move this to a util file?

    Parameters
    ----------
    blob : blob
        The blob that will be converted to an array.

    Returns
    -------
    array :
        The array created from the blob.
    """
    out = BytesIO(blob)
    out.seek(0)
    return np.load(out, allow_pickle=True)


class SqliteRecorder(CaseRecorder):
    """
    Recorder that saves cases in a sqlite db.

    Attributes
    ----------
    _record_viewer_data : bool
        Flag indicating whether to record data needed to generate N2 diagram.
    connection : sqlite connection object
        Connection to the sqlite3 database.
    _abs2prom : {'input': dict, 'output': dict}
        Dictionary mapping absolute names to promoted names.
    _prom2abs : {'input': dict, 'output': dict}
        Dictionary mapping promoted names to absolute names.
    _abs2meta : {'name': {}}
        Dictionary mapping absolute variable names to their metadata including units,
        bounds, and scaling.
    _pickle_version : int
        The pickle protocol version to use when pickling metadata.
    _filepath : str
        Path to the recorder file.
    _database_initialized : bool
        Flag indicating whether or not the database has been initialized.
    _record_on_proc : bool
        Flag indicating whether to record on this processor when running in parallel.
    """

    def __init__(self, filepath, append=False, pickle_version=2, record_viewer_data=True):
        """
        Initialize the SqliteRecorder.

        Parameters
        ----------
        filepath : str
            Path to the recorder file.
        append : bool, optional
            Optional. If True, append to an existing case recorder file.
        pickle_version : int, optional
            The pickle protocol version to use when pickling metadata.
        record_viewer_data : bool, optional
            If True, record data needed for visualization.
        """
        if append:
            raise NotImplementedError("Append feature not implemented for SqliteRecorder")

        self.connection = None
        self._record_viewer_data = record_viewer_data

        self._abs2prom = {'input': {}, 'output': {}}
        self._prom2abs = {'input': {}, 'output': {}}
        self._abs2meta = {}
        self._pickle_version = pickle_version
        self._filepath = filepath
        self._database_initialized = False

        # default to record on all procs when running in parallel
        self._record_on_proc = True

        super().__init__(record_viewer_data)

    def _initialize_database(self):
        """
        Initialize the database.
        """
        if MPI:
            rank = MPI.COMM_WORLD.rank
            if self._parallel and self._record_on_proc:
                filepath = '%s_%d' % (self._filepath, rank)
                print("Note: SqliteRecorder is running on multiple processors. "
                      "Cases from rank %d are being written to %s." %
                      (rank, filepath))
            elif rank == 0:
                filepath = self._filepath
            else:
                filepath = None
        else:
            filepath = self._filepath

        if filepath:
            try:
                os.remove(filepath)
            except OSError:
                pass

            self.connection = sqlite3.connect(filepath)
            with self.connection as c:
                c.execute("CREATE TABLE metadata(format_version INT, "
                          "abs2prom TEXT, prom2abs TEXT, abs2meta TEXT, var_settings TEXT,"
                          "conns TEXT)")
                c.execute("INSERT INTO metadata(format_version, abs2prom, prom2abs) "
                          "VALUES(?,?,?)", (format_version, None, None))

                # used to keep track of the order of the case records across all case tables
                c.execute("CREATE TABLE global_iterations(id INTEGER PRIMARY KEY, "
                          "record_type TEXT, rowid INT, source TEXT)")

                c.execute("CREATE TABLE driver_iterations(id INTEGER PRIMARY KEY, "
                          "counter INT, iteration_coordinate TEXT, timestamp REAL, "
                          "success INT, msg TEXT, inputs TEXT, outputs TEXT, residuals TEXT)")
                c.execute("CREATE TABLE driver_derivatives(id INTEGER PRIMARY KEY, "
                          "counter INT, iteration_coordinate TEXT, timestamp REAL, "
                          "success INT, msg TEXT, derivatives BLOB)")
                c.execute("CREATE INDEX driv_iter_ind on driver_iterations(iteration_coordinate)")

                c.execute("CREATE TABLE problem_cases(id INTEGER PRIMARY KEY, "
                          "counter INT, case_name TEXT, timestamp REAL, "
                          "success INT, msg TEXT, inputs TEXT, outputs TEXT, residuals TEXT, "
                          "jacobian BLOB, abs_err REAL, rel_err REAL)")
                c.execute("CREATE INDEX prob_name_ind on problem_cases(case_name)")

                c.execute("CREATE TABLE system_iterations(id INTEGER PRIMARY KEY, "
                          "counter INT, iteration_coordinate TEXT, timestamp REAL, "
                          "success INT, msg TEXT, inputs TEXT, outputs TEXT, residuals TEXT)")
                c.execute("CREATE INDEX sys_iter_ind on system_iterations(iteration_coordinate)")

                c.execute("CREATE TABLE solver_iterations(id INTEGER PRIMARY KEY, "
                          "counter INT, iteration_coordinate TEXT, timestamp REAL, "
                          "success INT, msg TEXT, abs_err REAL, rel_err REAL, "
                          "solver_inputs TEXT, solver_output TEXT, solver_residuals TEXT)")
                c.execute("CREATE INDEX solv_iter_ind on solver_iterations(iteration_coordinate)")

                c.execute("CREATE TABLE driver_metadata(id TEXT PRIMARY KEY, "
                          "model_viewer_data TEXT)")
                c.execute("CREATE TABLE system_metadata(id TEXT PRIMARY KEY, "
                          "scaling_factors BLOB, component_metadata BLOB)")
                c.execute("CREATE TABLE solver_metadata(id TEXT PRIMARY KEY, "
                          "solver_options BLOB, solver_class TEXT)")

        self._database_initialized = True

    def _cleanup_abs2meta(self):
        """
        Convert all abs2meta variable properties to a form that can be dumped as JSON.
        """
        for name in self._abs2meta:
            for prop in self._abs2meta[name]:
                self._abs2meta[name][prop] = make_serializable(self._abs2meta[name][prop])

    def _cleanup_var_settings(self, var_settings):
        """
        Convert all var_settings variable properties to a form that can be dumped as JSON.

        Parameters
        ----------
        var_settings : dict
            Dictionary mapping absolute variable names to variable settings.

        Returns
        -------
        var_settings : dict
            Dictionary mapping absolute variable names to var settings that are JSON compatible.
        """
        # otherwise we trample on values that are used elsewhere
        var_settings = deepcopy(var_settings)
        for name in var_settings:
            for prop in var_settings[name]:
                var_settings[name][prop] = make_serializable(var_settings[name][prop])
        return var_settings

    def startup(self, recording_requester):
        """
        Prepare for a new run and create/update the abs2prom and prom2abs variables.

        Parameters
        ----------
        recording_requester : object
            Object to which this recorder is attached.
        """
        super().startup(recording_requester)

        if not self._database_initialized:
            self._initialize_database()

        driver = None

        # grab the system
        if isinstance(recording_requester, Driver):
            system = recording_requester._problem().model
            driver = recording_requester
        elif isinstance(recording_requester, System):
            system = recording_requester
        elif isinstance(recording_requester, Problem):
            system = recording_requester.model
            driver = recording_requester.driver
        elif isinstance(recording_requester, Solver):
            system = recording_requester._system()
        else:
            raise ValueError('Driver encountered a recording_requester it cannot handle'
                             ': {0}'.format(recording_requester))

        states = system._list_states_allprocs()

        if self.connection:

            if driver is None:
                desvars = system.get_design_vars(True, get_sizes=False, use_prom_ivc=False)
                responses = system.get_responses(True, get_sizes=False)
                objectives = OrderedDict()
                constraints = OrderedDict()
                for name, data in responses.items():
                    if data['type'] == 'con':
                        constraints[name] = data
                    else:
                        objectives[name] = data
            else:
                desvars = driver._designvars
                constraints = driver._cons
                objectives = driver._objs
                responses = driver._responses

            inputs = list(system.abs_name_iter('input', local=False, discrete=True))
            outputs = list(system.abs_name_iter('output', local=False, discrete=True))

            var_order = system._get_vars_exec_order(inputs=True, outputs=True)

            full_var_set = [(outputs, 'output'),
                            (desvars, 'desvar'), (responses, 'response'),
                            (objectives, 'objective'), (constraints, 'constraint')]

            # merge current abs2prom and prom2abs with this system's version
            self._abs2prom['input'].update(system._var_allprocs_abs2prom['input'])
            self._abs2prom['output'].update(system._var_allprocs_abs2prom['output'])
            for v, abs_names in system._var_allprocs_prom2abs_list['input'].items():
                if v not in self._prom2abs['input']:
                    self._prom2abs['input'][v] = abs_names
                else:
                    self._prom2abs['input'][v] = list(set(chain(self._prom2abs['input'][v],
                                                                abs_names)))

            # for outputs, there can be only one abs name per promoted name
            for v, abs_names in system._var_allprocs_prom2abs_list['output'].items():
                self._prom2abs['output'][v] = abs_names

            # absolute pathname to metadata mappings for continuous & discrete variables
            # discrete mapping is sub-keyed on 'output' & 'input'
            real_meta_in = system._var_allprocs_abs2meta['input']
            real_meta_out = system._var_allprocs_abs2meta['output']
            disc_meta_in = system._var_allprocs_discrete['input']
            disc_meta_out = system._var_allprocs_discrete['output']

            for var_set, var_type in full_var_set:
                for name in var_set:

                    # Design variables can be requested by input name.
                    if var_type == 'desvar':
                        name = var_set[name]['ivc_source']

                    if name not in self._abs2meta:
                        try:
                            self._abs2meta[name] = real_meta_out[name].copy()
                        except KeyError:
                            self._abs2meta[name] = disc_meta_out[name].copy()
                        self._abs2meta[name]['type'] = []
                        self._abs2meta[name]['explicit'] = name not in states

                    if var_type not in self._abs2meta[name]['type']:
                        self._abs2meta[name]['type'].append(var_type)

            for name in inputs:
                try:
                    self._abs2meta[name] = real_meta_in[name].copy()
                except KeyError:
                    self._abs2meta[name] = disc_meta_in[name].copy()
                self._abs2meta[name]['type'] = ['input']
                self._abs2meta[name]['explicit'] = True

            # merge current abs2meta with this system's version
            for name, meta in self._abs2meta.items():
                for io in ('input', 'output'):
                    if name in system._var_allprocs_abs2meta[io]:
                        meta.update(system._var_allprocs_abs2meta[io][name])
                        break

            self._cleanup_abs2meta()

            # store the updated abs2prom and prom2abs
            abs2prom = json.dumps(self._abs2prom)
            prom2abs = json.dumps(self._prom2abs)
            abs2meta = json.dumps(self._abs2meta)
            conns = json.dumps(system._problem_meta['model_ref']()._conn_global_abs_in2out)

            var_settings = {}
            var_settings.update(desvars)
            var_settings.update(objectives)
            var_settings.update(constraints)
            var_settings = self._cleanup_var_settings(var_settings)
            var_settings['execution_order'] = var_order
            var_settings_json = json.dumps(var_settings)

            with self.connection as c:
                c.execute("UPDATE metadata SET " +
                          "abs2prom=?, prom2abs=?, abs2meta=?, var_settings=?, conns=?",
                          (abs2prom, prom2abs, abs2meta, var_settings_json, conns))

    def record_iteration_driver(self, recording_requester, data, metadata):
        """
        Record data and metadata from a Driver.

        Parameters
        ----------
        recording_requester : object
            Driver in need of recording.
        data : dict
            Dictionary containing desvars, objectives, constraints, responses, and System vars.
        metadata : dict
            Dictionary containing execution metadata.
        """
        if self.connection:
            outputs = data['output']
            inputs = data['input']
            residuals = data['residual']

            # convert to list so this can be dumped as JSON
            for in_out_resid in (inputs, outputs, residuals):
                if in_out_resid is None:
                    continue
                for var in in_out_resid:
                    in_out_resid[var] = make_serializable(in_out_resid[var])

            outputs_text = json.dumps(outputs)
            inputs_text = json.dumps(inputs)
            residuals_text = json.dumps(residuals)

            with self.connection as c:
                c = c.cursor()  # need a real cursor for lastrowid

                c.execute("INSERT INTO driver_iterations(counter, iteration_coordinate, "
                          "timestamp, success, msg, inputs, outputs, residuals) "
                          "VALUES(?,?,?,?,?,?,?,?)",
                          (self._counter, self._iteration_coordinate,
                           metadata['timestamp'], metadata['success'], metadata['msg'],
                           inputs_text, outputs_text, residuals_text))

                c.execute("INSERT INTO global_iterations(record_type, rowid, source) VALUES(?,?,?)",
                          ('driver', c.lastrowid, recording_requester._get_name()))

    def record_iteration_problem(self, recording_requester, data, metadata):
        """
        Record data and metadata from a Problem.

        Parameters
        ----------
        recording_requester : object
            Problem in need of recording.
        data : dict
            Dictionary containing desvars, objectives, and constraints.
        metadata : dict
            Dictionary containing execution metadata.
        """
        if self.connection:
            outputs = data['output']
            inputs = data['input']
            residuals = data['residual']

            driver = recording_requester.driver
            if recording_requester.recording_options['record_derivatives'] and \
                    driver._designvars and driver._responses:
                totals = data['totals']
            else:
                totals = OrderedDict([])
            totals_array = dict_to_structured_array(totals)
            totals_blob = array_to_blob(totals_array)

            # convert to list so this can be dumped as JSON
            for in_out_resid in (inputs, outputs, residuals):
                if in_out_resid is None:
                    continue
                for var in in_out_resid:
                    in_out_resid[var] = make_serializable(in_out_resid[var])

            outputs_text = json.dumps(outputs)
            inputs_text = json.dumps(inputs)
            residuals_text = json.dumps(residuals)

            abs_err = data['abs']
            rel_err = data['rel']

            with self.connection as c:
                c = c.cursor()  # need a real cursor for lastrowid

                c.execute("INSERT INTO problem_cases(counter, case_name, "
                          "timestamp, success, msg, inputs, outputs, residuals, jacobian, "
                          "abs_err, rel_err ) "
                          "VALUES(?,?,?,?,?,?,?,?,?,?,?)",
                          (self._counter, metadata['name'],
                           metadata['timestamp'], metadata['success'], metadata['msg'],
                           inputs_text, outputs_text, residuals_text, totals_blob,
                           abs_err, rel_err))

                c.execute("INSERT INTO global_iterations(record_type, rowid, source) VALUES(?,?,?)",
                          ('problem', c.lastrowid, metadata['name']))

    def record_iteration_system(self, recording_requester, data, metadata):
        """
        Record data and metadata from a System.

        Parameters
        ----------
        recording_requester : System
            System in need of recording.
        data : dict
            Dictionary containing inputs, outputs, and residuals.
        metadata : dict
            Dictionary containing execution metadata.
        """
        if self.connection:
            inputs = data['input']
            outputs = data['output']
            residuals = data['residual']

            # convert to list so this can be dumped as JSON
            for i_o_r in (inputs, outputs, residuals):
                for var, dat in i_o_r.items():
                    i_o_r[var] = make_serializable(dat)

            outputs_text = json.dumps(outputs)
            inputs_text = json.dumps(inputs)
            residuals_text = json.dumps(residuals)

            with self.connection as c:
                c = c.cursor()  # need a real cursor for lastrowid

                c.execute("INSERT INTO system_iterations(counter, iteration_coordinate, "
                          "timestamp, success, msg, inputs , outputs , residuals ) "
                          "VALUES(?,?,?,?,?,?,?,?)",
                          (self._counter, self._iteration_coordinate,
                           metadata['timestamp'], metadata['success'], metadata['msg'],
                           inputs_text, outputs_text, residuals_text))

                # get the pathname of the source system
                source_system = recording_requester.pathname
                if source_system == '':
                    source_system = 'root'

                c.execute("INSERT INTO global_iterations(record_type, rowid, source) VALUES(?,?,?)",
                          ('system', c.lastrowid, source_system))

    def record_iteration_solver(self, recording_requester, data, metadata):
        """
        Record data and metadata from a Solver.

        Parameters
        ----------
        recording_requester : Solver
            Solver in need of recording.
        data : dict
            Dictionary containing outputs, residuals, and errors.
        metadata : dict
            Dictionary containing execution metadata.
        """
        if self.connection:
            abs = data['abs']
            rel = data['rel']
            inputs = data['input']
            outputs = data['output']
            residuals = data['residual']

            # convert to list so this can be dumped as JSON
            for i_o_r in (inputs, outputs, residuals):
                if i_o_r is None:
                    continue
                for var in i_o_r:
                    i_o_r[var] = make_serializable(i_o_r[var])

            outputs_text = json.dumps(outputs)
            inputs_text = json.dumps(inputs)
            residuals_text = json.dumps(residuals)

            with self.connection as c:
                c = c.cursor()  # need a real cursor for lastrowid

                c.execute("INSERT INTO solver_iterations(counter, iteration_coordinate, "
                          "timestamp, success, msg, abs_err, rel_err, "
                          "solver_inputs, solver_output, solver_residuals) "
                          "VALUES(?,?,?,?,?,?,?,?,?,?)",
                          (self._counter, self._iteration_coordinate,
                           metadata['timestamp'], metadata['success'], metadata['msg'],
                           abs, rel, inputs_text, outputs_text, residuals_text))

                # get the pathname of the source system
                source_system = recording_requester._system().pathname
                if source_system == '':
                    source_system = 'root'

                # get solver type from SOLVER class attribute to determine the solver pathname
                solver_type = recording_requester.SOLVER[0:2]
                if solver_type == 'NL':
                    source_solver = source_system + '.nonlinear_solver'
                elif solver_type == 'LS':
                    source_solver = source_system + '.nonlinear_solver.linesearch'
                else:
                    raise RuntimeError("Solver type '%s' not recognized during recording. "
                                       "Expecting NL or LS" % recording_requester.SOLVER)

                c.execute("INSERT INTO global_iterations(record_type, rowid, source) VALUES(?,?,?)",
                          ('solver', c.lastrowid, source_solver))

    def record_viewer_data(self, model_viewer_data, key='Driver'):
        """
        Record model viewer data.

        Parameters
        ----------
        model_viewer_data : dict
            Data required to visualize the model.
        key : str, optional
            The unique ID to use for this data in the table.
        """
        if self.connection:
            json_data = json.dumps(model_viewer_data, default=default_noraise)

            # Note: recorded to 'driver_metadata' table for legacy/compatibility reasons.
            try:
                with self.connection as c:
                    c.execute("INSERT INTO driver_metadata(id, model_viewer_data) VALUES(?,?)",
                              (key, json_data))
            except sqlite3.IntegrityError:
                print("Model viewer data has already has already been recorded for %s." % key)

    def record_metadata_system(self, recording_requester, run_counter=None):
        """
        Record system metadata.

        Parameters
        ----------
        recording_requester : System
            The System that would like to record its metadata.
        run_counter : int or None
            The number of times run_driver or run_model has been called.
        """
        if self.connection:

            scaling_vecs, user_options = self._get_metadata_system(recording_requester)

            if scaling_vecs is None:
                return

            scaling_factors = pickle.dumps(scaling_vecs, self._pickle_version)

            # try to pickle the metadata, report if it failed
            try:
                pickled_metadata = pickle.dumps(user_options, self._pickle_version)
            except Exception:
                try:
                    for key, values in user_options._dict.items():
                        pickle.dumps(values, self._pickle_version)
                except Exception:
                    pickled_metadata = pickle.dumps(OptionsDictionary(), self._pickle_version)
                    simple_warning("Trying to record option '%s' which cannot be pickled on system "
                                   "%s. Set 'recordable' to False. Skipping recording options for "
                                   "this system." % (key, recording_requester.msginfo))

            path = recording_requester.pathname
            if not path:
                path = 'root'

            scaling_factors = sqlite3.Binary(scaling_factors)
            pickled_metadata = sqlite3.Binary(pickled_metadata)

            # Need to use OR IGNORE in here because if the user does run_driver more than once
            #   the current OpenMDAO code will call this function each time and there will be
            #   SQL errors for "UNIQUE constraint failed: system_metadata.id"
            # Future versions of OpenMDAO will handle this better.
            if run_counter is None:
                name = path
            else:
                name = "{}_{}".format(path, str(run_counter))
            with self.connection as c:
                c.execute("INSERT OR IGNORE INTO system_metadata"
                          "(id, scaling_factors, component_metadata) "
                          "VALUES(?,?,?)", (name, scaling_factors,
                                            pickled_metadata))

    def record_metadata_solver(self, recording_requester):
        """
        Record solver metadata.

        Parameters
        ----------
        recording_requester : Solver
            The Solver that would like to record its metadata.
        """
        if self.connection:
            path = recording_requester._system().pathname
            solver_class = type(recording_requester).__name__
            if not path:
                path = 'root'
            id = "{}.{}".format(path, solver_class)

            solver_options = pickle.dumps(recording_requester.options, self._pickle_version)

            with self.connection as c:
                c.execute("INSERT INTO solver_metadata(id, solver_options, solver_class) "
                          "VALUES(?,?,?)", (id, sqlite3.Binary(solver_options), solver_class))

    def record_derivatives_driver(self, recording_requester, data, metadata):
        """
        Record derivatives data from a Driver.

        Parameters
        ----------
        recording_requester : object
            Driver in need of recording.
        data : dict
            Dictionary containing derivatives keyed by 'of,wrt' to be recorded.
        metadata : dict
            Dictionary containing execution metadata.
        """
        if self.connection:

            data_array = dict_to_structured_array(data)
            data_blob = array_to_blob(data_array)

            with self.connection as c:
                c = c.cursor()  # need a real cursor for lastrowid

                c.execute("INSERT INTO driver_derivatives(counter, iteration_coordinate, "
                          "timestamp, success, msg, derivatives) VALUES(?,?,?,?,?,?)",
                          (self._counter, self._iteration_coordinate,
                           metadata['timestamp'], metadata['success'], metadata['msg'],
                           data_blob))

    def shutdown(self):
        """
        Shut down the recorder.
        """
        # close database connection
        if self.connection:
            self.connection.close()

    def delete_recordings(self):
        """
        Delete all the recordings.
        """
        if self.connection:
            self.connection.execute("DELETE FROM global_iterations")
            self.connection.execute("DELETE FROM driver_iterations")
            self.connection.execute("DELETE FROM driver_derivatives")
            self.connection.execute("DELETE FROM problem_cases")
            self.connection.execute("DELETE FROM system_iterations")
            self.connection.execute("DELETE FROM solver_iterations")
            self.connection.execute("DELETE FROM driver_metadata")
            self.connection.execute("DELETE FROM system_metadata")
            self.connection.execute("DELETE FROM solver_metadata")
