def start_endgame_from(pieces):
fen = create_fen(pieces)
timemodel = TimeModel(0, 0)
gamemodel = LearnModel(timemodel)
gamemodel.set_learn_data(ENDGAME, pieces)
player_name = conf.get("firstName", _("You"))
p0 = (LOCAL, Human, (WHITE, player_name), player_name)
engine = discoverer.getEngineByName(discoverer.getEngineLearn())
ponder_off = True
engine_name = discoverer.getName(engine)
p1 = (ARTIFICIAL, discoverer.initPlayerEngine,
(engine, BLACK, 20, variants[NORMALCHESS], 60, 0, 0, ponder_off), engine_name)
def restart_analyzer(gamemodel):
asyncio.async(gamemodel.restart_analyzer(HINT))
gamemodel.connect("learn_success", restart_analyzer)
def start_analyzer(gamemodel):
asyncio.async(gamemodel.start_analyzer(HINT, force_engine=discoverer.getEngineLearn()))
gamemodel.connect("game_started", start_analyzer)
perspective = perspective_manager.get_perspective("games")
asyncio.async(perspective.generalStart(gamemodel, p0, p1, loaddata=(StringIO(fen), fen_loader, 0, -1)))
def on_all_engine_discovered(discoverer):
engine = discoverer.getEngineByName(discoverer.getEngineLearn())
if engine is None:
engine = discoverer.getEngineN(-1)
default_engine = engine.get("md5")
conf.set("ana_combobox", default_engine)
conf.set("inv_ana_combobox", default_engine)
def on_game_started(gamemodel, name, color):
perspective.activate_panel("annotationPanel")
create_task(
gamemodel.start_analyzer(HINT,
force_engine=discoverer.getEngineLearn()))
gamemodel.players[1 - color].name = name
gamemodel.emit("players_changed")
def start_endgame_from(pieces):
fen = create_fen(pieces)
timemodel = TimeModel(0, 0)
gamemodel = LearnModel(timemodel)
gamemodel.set_learn_data(ENDGAME, pieces)
player_name = conf.get("firstName", _("You"))
p0 = (LOCAL, Human, (WHITE, player_name), player_name)
engine = discoverer.getEngineByName(discoverer.getEngineLearn())
ponder_off = True
engine_name = discoverer.getName(engine)
p1 = (ARTIFICIAL, discoverer.initPlayerEngine,
(engine, BLACK, 20, variants[NORMALCHESS], 60, 0, 0,
ponder_off), engine_name)
def restart_analyzer(gamemodel):
asyncio. async (gamemodel.restart_analyzer(HINT))
gamemodel.connect("learn_success", restart_analyzer)
def on_game_started(gamemodel):
perspective.activate_panel("annotationPanel")
asyncio. async (gamemodel.start_analyzer(
HINT, force_engine=discoverer.getEngineLearn()))
gamemodel.connect("game_started", on_game_started)
perspective = perspective_manager.get_perspective("games")
asyncio. async (perspective.generalStart(gamemodel,
p0,
p1,
loaddata=(StringIO(fen),
fen_loader, 0, -1)))
def on_all_engine_discovered(discoverer):
engine = discoverer.getEngineByName(discoverer.getEngineLearn())
if engine is None:
engine = discoverer.getEngineN(-1)
default_engine = engine.get("md5")
conf.set("ana_combobox", default_engine)
conf.set("inv_ana_combobox", default_engine)
def start_puzzle_game(gamemodel, filename, records, index, rec, from_lesson=False):
gamemodel.set_learn_data(PUZZLE, filename, index, len(records), from_lesson=from_lesson)
engine = discoverer.getEngineByName(discoverer.getEngineLearn())
ponder_off = True
color = gamemodel.boards[0].color
w_name = "" if rec["White"] is None else rec["White"]
b_name = "" if rec["Black"] is None else rec["Black"]
player_name = conf.get("firstName")
engine_name = discoverer.getName(engine)
if rec["Event"].startswith("Lichess Practice"):
w_name = player_name if color == WHITE else engine_name
b_name = engine_name if color == WHITE else player_name
opp_name = engine_name if rec["Event"].startswith("Lichess Practice") else b_name
if color == WHITE:
p0 = (LOCAL, Human, (WHITE, w_name), w_name)
p1 = (ARTIFICIAL, discoverer.initPlayerEngine,
(engine, BLACK, 20, variants[NORMALCHESS], 20, 0, 0, ponder_off), b_name)
else:
p0 = (ARTIFICIAL, discoverer.initPlayerEngine,
(engine, WHITE, 20, variants[NORMALCHESS], 20, 0, 0, ponder_off), w_name)
p1 = (LOCAL, Human, (BLACK, b_name), b_name)
def on_game_started(gamemodel, name, color):
perspective.activate_panel("annotationPanel")
create_task(gamemodel.start_analyzer(HINT, force_engine=discoverer.getEngineLearn()))
gamemodel.players[1 - color].name = name
gamemodel.emit("players_changed")
gamemodel.connect("game_started", on_game_started, opp_name, color)
def goal_checked(gamemodle):
if gamemodel.reason == PRACTICE_GOAL_REACHED:
if from_lesson:
progress = lessons_solving_progress[gamemodel.source]
else:
progress = puzzles_solving_progress[gamemodel.source]
progress[gamemodel.current_index] = 1
if from_lesson:
lessons_solving_progress[gamemodel.source] = progress
else:
puzzles_solving_progress[gamemodel.source] = progress
gamemodel.connect("goal_checked", goal_checked)
gamemodel.variant.need_initial_board = True
gamemodel.status = WAITING_TO_START
perspective = perspective_manager.get_perspective("games")
create_task(perspective.generalStart(gamemodel, p0, p1))
def start_puzzle_game(gamemodel, filename, records, index, rec, from_lesson=False):
gamemodel.set_learn_data(PUZZLE, filename, index, len(records), from_lesson=from_lesson)
engine = discoverer.getEngineByName(discoverer.getEngineLearn())
ponder_off = True
color = gamemodel.boards[0].color
w_name = "" if rec["White"] is None else rec["White"]
b_name = "" if rec["Black"] is None else rec["Black"]
player_name = conf.get("firstName", _("You"))
engine_name = discoverer.getName(engine)
if rec["Event"].startswith("Lichess Practice"):
w_name = player_name if color == WHITE else engine_name
b_name = engine_name if color == WHITE else player_name
opp_name = engine_name if rec["Event"].startswith("Lichess Practice") else b_name
if color == WHITE:
p0 = (LOCAL, Human, (WHITE, w_name), w_name)
p1 = (ARTIFICIAL, discoverer.initPlayerEngine,
(engine, BLACK, 20, variants[NORMALCHESS], 20, 0, 0, ponder_off), b_name)
else:
p0 = (ARTIFICIAL, discoverer.initPlayerEngine,
(engine, WHITE, 20, variants[NORMALCHESS], 20, 0, 0, ponder_off), w_name)
p1 = (LOCAL, Human, (BLACK, b_name), b_name)
def on_game_started(gamemodel, name, color):
perspective.activate_panel("annotationPanel")
asyncio.async(gamemodel.start_analyzer(HINT, force_engine=discoverer.getEngineLearn()))
gamemodel.players[1 - color].name = name
gamemodel.emit("players_changed")
gamemodel.connect("game_started", on_game_started, opp_name, color)
def goal_checked(gamemodle):
if gamemodel.reason == PRACTICE_GOAL_REACHED:
if from_lesson:
progress = lessons_solving_progress[gamemodel.source]
else:
progress = puzzles_solving_progress[gamemodel.source]
progress[gamemodel.current_index] = 1
if from_lesson:
lessons_solving_progress[gamemodel.source] = progress
else:
puzzles_solving_progress[gamemodel.source] = progress
gamemodel.connect("goal_checked", goal_checked)
gamemodel.variant.need_initial_board = True
gamemodel.status = WAITING_TO_START
perspective = perspective_manager.get_perspective("games")
asyncio.async(perspective.generalStart(gamemodel, p0, p1))
def on_game_started(gamemodel):
perspective.activate_panel("annotationPanel")
if "FEN" in gamemodel.tags:
asyncio. async (gamemodel.start_analyzer(
HINT, force_engine=discoverer.getEngineLearn()))
def start_analyzer(gamemodel):
asyncio.async(gamemodel.start_analyzer(HINT, force_engine=discoverer.getEngineLearn()))
def __init__(self, widgets):
self.widgets = widgets
# Options on by default
for key in ("opening_check", "endgame_check", "online_egtb_check", "inv_analyzer_check"):
uistuff.keep(widgets[key], key, first_value=False)
uistuff.keep(widgets["analyzer_check"], "analyzer_check", first_value=True)
# Opening book
default_path = os.path.join(addDataPrefix("pychess_book.bin"))
path = conf.get("opening_file_entry", default_path)
conf.set("opening_file_entry", path)
book_chooser_dialog = Gtk.FileChooserDialog(
_("Select book file"), mainwindow(), Gtk.FileChooserAction.OPEN,
(Gtk.STOCK_CANCEL, Gtk.ResponseType.CANCEL, Gtk.STOCK_OPEN,
Gtk.ResponseType.OK))
book_chooser_button = Gtk.FileChooserButton.new_with_dialog(
book_chooser_dialog)
filter = Gtk.FileFilter()
filter.set_name(_("Opening books"))
filter.add_pattern("*.bin")
book_chooser_dialog.add_filter(filter)
book_chooser_button.set_filename(path)
self.widgets["bookChooserDock"].add(book_chooser_button)
book_chooser_button.show()
def select_new_book(button):
new_book = book_chooser_dialog.get_filename()
if new_book:
conf.set("opening_file_entry", new_book)
else:
# restore the original
book_chooser_dialog.set_filename(path)
book_chooser_button.connect("file-set", select_new_book)
def on_opening_check_toggled(check):
self.widgets["opening_hbox"].set_sensitive(check.get_active())
self.widgets["opening_check"].connect_after("toggled",
on_opening_check_toggled)
# Endgame
default_path = os.path.join(getDataPrefix())
egtb_path = conf.get("egtb_path", default_path)
conf.set("egtb_path", egtb_path)
egtb_chooser_dialog = Gtk.FileChooserDialog(
_("Select Gaviota TB path"), mainwindow(),
Gtk.FileChooserAction.SELECT_FOLDER,
(Gtk.STOCK_CANCEL, Gtk.ResponseType.CANCEL, Gtk.STOCK_OPEN,
Gtk.ResponseType.OK))
egtb_chooser_button = Gtk.FileChooserButton.new_with_dialog(
egtb_chooser_dialog)
egtb_chooser_button.set_current_folder(egtb_path)
self.widgets["egtbChooserDock"].add(egtb_chooser_button)
egtb_chooser_button.show()
def select_egtb(button):
new_directory = egtb_chooser_dialog.get_filename()
if new_directory != egtb_path:
conf.set("egtb_path", new_directory)
egtb_chooser_button.connect("current-folder-changed", select_egtb)
def on_endgame_check_toggled(check):
self.widgets["endgame_hbox"].set_sensitive(check.get_active())
self.widgets["endgame_check"].connect_after("toggled",
on_endgame_check_toggled)
# Analyzing engines
from pychess.widgets import newGameDialog
data = [(item[0], item[1]) for item in newGameDialog.analyzerItems]
uistuff.createCombo(widgets["ana_combobox"], data, name="ana_combobox")
uistuff.createCombo(widgets["inv_ana_combobox"], data, name="inv_ana_combobox")
def update_analyzers_store(discoverer):
data = [(item[0], item[1]) for item in newGameDialog.analyzerItems]
uistuff.updateCombo(widgets["ana_combobox"], data)
uistuff.updateCombo(widgets["inv_ana_combobox"], data)
discoverer.connect_after("all_engines_discovered",
update_analyzers_store)
update_analyzers_store(discoverer)
# Save, load and make analyze combos active
engine = discoverer.getEngineByName(discoverer.getEngineLearn())
if engine is None:
engine = discoverer.getEngineN(-1)
default = engine.get("md5")
conf.set("ana_combobox", conf.get("ana_combobox", default))
conf.set("inv_ana_combobox", conf.get("inv_ana_combobox", default))
def on_analyzer_check_toggled(check):
self.widgets["analyzers_vbox"].set_sensitive(check.get_active())
from pychess.widgets.gamewidget import widgets
perspective = perspective_manager.get_perspective("games")
if len(perspective.gamewidgets) != 0:
if check.get_active():
for gmwidg in perspective.gamewidgets:
asyncio.async(gmwidg.gamemodel.restart_analyzer(HINT))
if not widgets["hint_mode"].get_active():
gmwidg.gamemodel.pause_analyzer(HINT)
else:
for gmwidg in perspective.gamewidgets:
gmwidg.gamemodel.remove_analyzer(HINT)
self.widgets["analyzers_vbox"].set_sensitive(widgets["analyzer_check"].get_active())
self.widgets["analyzer_check"].connect_after("toggled", on_analyzer_check_toggled)
def on_invanalyzer_check_toggled(check):
self.widgets["inv_analyzers_vbox"].set_sensitive(check.get_active())
perspective = perspective_manager.get_perspective("games")
if len(perspective.gamewidgets) != 0:
if check.get_active():
for gmwidg in perspective.gamewidgets:
asyncio.async(gmwidg.gamemodel.restart_analyzer(SPY))
if not widgets["spy_mode"].get_active():
gmwidg.gamemodel.pause_analyzer(SPY)
else:
for gmwidg in perspective.gamewidgets:
gmwidg.gamemodel.remove_analyzer(SPY)
self.widgets["inv_analyzers_vbox"].set_sensitive(widgets["inv_analyzer_check"].get_active())
self.widgets["inv_analyzer_check"].connect_after("toggled", on_invanalyzer_check_toggled)
# Give widgets to keeper
uistuff.keep(
self.widgets["ana_combobox"], "ana_combobox", anal_combo_get_value,
lambda combobox, value: anal_combo_set_value(combobox, value, "hint_mode", "analyzer_check", HINT))
uistuff.keep(
self.widgets["inv_ana_combobox"], "inv_ana_combobox",
anal_combo_get_value,
lambda combobox, value: anal_combo_set_value(combobox, value, "spy_mode", "inv_analyzer_check", SPY))
uistuff.keep(self.widgets["max_analysis_spin"], "max_analysis_spin", first_value=3)
uistuff.keep(self.widgets["infinite_analysis"], "infinite_analysis", first_value=False)
def start_analyzer(gamemodel, name, color):
asyncio.async(gamemodel.start_analyzer(HINT, force_engine=discoverer.getEngineLearn()))
gamemodel.players[1 - color].name = name
gamemodel.emit("players_changed")
def on_game_started(gamemodel, name, color):
perspective.activate_panel("annotationPanel")
create_task(gamemodel.start_analyzer(HINT, force_engine=discoverer.getEngineLearn()))
gamemodel.players[1 - color].name = name
gamemodel.emit("players_changed")
def on_game_started(gamemodel):
perspective.activate_panel("annotationPanel")
if "FEN" in gamemodel.tags:
create_task(gamemodel.start_analyzer(HINT, force_engine=discoverer.getEngineLearn()))
def on_game_started(gamemodel):
perspective.activate_panel("annotationPanel")
create_task(
gamemodel.start_analyzer(HINT,
force_engine=discoverer.getEngineLearn()))
def start_puzzle_from(filename, index=None):
if filename.lower().endswith(".pgn"):
if filename.startswith("lichess_study"):
chessfile = PGNFile(
protoopen(addDataPrefix("learn/puzzles/%s" % filename),
encoding="utf-8"))
else:
chessfile = PGNFile(
protoopen(addDataPrefix("learn/puzzles/%s" % filename)))
chessfile.limit = 1000
chessfile.init_tag_database()
elif filename.lower().endswith(".olv"):
chessfile = OLVFile(
protoopen(addDataPrefix("learn/puzzles/%s" % filename),
encoding="utf-8"))
records, plys = chessfile.get_records()
progress = puzzles_solving_progress.get(filename, [0] * chessfile.count)
if index is None:
index = progress.index(0)
rec = records[index]
timemodel = TimeModel(0, 0)
gamemodel = LearnModel(timemodel)
gamemodel.set_learn_data(PUZZLE, filename, index, len(records))
chessfile.loadToModel(rec, 0, gamemodel)
engine = discoverer.getEngineByName(discoverer.getEngineLearn())
ponder_off = True
color = gamemodel.boards[0].color
w_name = "" if rec["White"] is None else rec["White"]
b_name = "" if rec["Black"] is None else rec["Black"]
player_name = conf.get("firstName", _("You"))
engine_name = discoverer.getName(engine)
if rec["Event"].startswith("Lichess Practice"):
w_name = player_name if color == WHITE else engine_name
b_name = engine_name if color == WHITE else player_name
opp_name = engine_name if rec["Event"].startswith(
"Lichess Practice") else b_name
if color == WHITE:
p0 = (LOCAL, Human, (WHITE, w_name), w_name)
p1 = (ARTIFICIAL, discoverer.initPlayerEngine,
(engine, BLACK, 20, variants[NORMALCHESS], 20, 0, 0,
ponder_off), b_name)
else:
p0 = (ARTIFICIAL, discoverer.initPlayerEngine,
(engine, WHITE, 20, variants[NORMALCHESS], 20, 0, 0,
ponder_off), w_name)
p1 = (LOCAL, Human, (BLACK, b_name), b_name)
def on_game_started(gamemodel, name, color):
perspective.activate_panel("annotationPanel")
asyncio. async (gamemodel.start_analyzer(
HINT, force_engine=discoverer.getEngineLearn()))
gamemodel.players[1 - color].name = name
gamemodel.emit("players_changed")
gamemodel.connect("game_started", on_game_started, opp_name, color)
def goal_checked(gamemodle):
if gamemodel.reason == PRACTICE_GOAL_REACHED:
progress = puzzles_solving_progress[gamemodel.source]
progress[gamemodel.current_index] = 1
puzzles_solving_progress[gamemodel.source] = progress
gamemodel.connect("goal_checked", goal_checked)
gamemodel.variant.need_initial_board = True
gamemodel.status = WAITING_TO_START
perspective = perspective_manager.get_perspective("games")
asyncio. async (perspective.generalStart(gamemodel, p0, p1))
def __init__(self, widgets):
self.widgets = widgets
# Options on by default
for key in ("opening_check", "endgame_check", "online_egtb_check",
"inv_analyzer_check"):
uistuff.keep(widgets[key], key, first_value=False)
uistuff.keep(widgets["analyzer_check"],
"analyzer_check",
first_value=True)
# Opening book
default_path = os.path.join(addDataPrefix("pychess_book.bin"))
path = conf.get("opening_file_entry", default_path)
conf.set("opening_file_entry", path)
book_chooser_dialog = Gtk.FileChooserDialog(
_("Select book file"), mainwindow(), Gtk.FileChooserAction.OPEN,
(Gtk.STOCK_CANCEL, Gtk.ResponseType.CANCEL, Gtk.STOCK_OPEN,
Gtk.ResponseType.OK))
book_chooser_button = Gtk.FileChooserButton.new_with_dialog(
book_chooser_dialog)
filter = Gtk.FileFilter()
filter.set_name(_("Opening books"))
filter.add_pattern("*.bin")
book_chooser_dialog.add_filter(filter)
book_chooser_button.set_filename(path)
self.widgets["bookChooserDock"].add(book_chooser_button)
book_chooser_button.show()
def select_new_book(button):
new_book = book_chooser_dialog.get_filename()
if new_book:
conf.set("opening_file_entry", new_book)
else:
# restore the original
book_chooser_dialog.set_filename(path)
book_chooser_button.connect("file-set", select_new_book)
def on_opening_check_toggled(check):
self.widgets["opening_hbox"].set_sensitive(check.get_active())
self.widgets["opening_check"].connect_after("toggled",
on_opening_check_toggled)
# Endgame
default_path = os.path.join(getDataPrefix())
egtb_path = conf.get("egtb_path", default_path)
conf.set("egtb_path", egtb_path)
egtb_chooser_dialog = Gtk.FileChooserDialog(
_("Select Gaviota TB path"), mainwindow(),
Gtk.FileChooserAction.SELECT_FOLDER,
(Gtk.STOCK_CANCEL, Gtk.ResponseType.CANCEL, Gtk.STOCK_OPEN,
Gtk.ResponseType.OK))
egtb_chooser_button = Gtk.FileChooserButton.new_with_dialog(
egtb_chooser_dialog)
egtb_chooser_button.set_current_folder(egtb_path)
self.widgets["egtbChooserDock"].add(egtb_chooser_button)
egtb_chooser_button.show()
def select_egtb(button):
new_directory = egtb_chooser_dialog.get_filename()
if new_directory != egtb_path:
conf.set("egtb_path", new_directory)
egtb_chooser_button.connect("current-folder-changed", select_egtb)
def on_endgame_check_toggled(check):
self.widgets["endgame_hbox"].set_sensitive(check.get_active())
self.widgets["endgame_check"].connect_after("toggled",
on_endgame_check_toggled)
# Analyzing engines
from pychess.widgets import newGameDialog
data = [(item[0], item[1]) for item in newGameDialog.analyzerItems]
uistuff.createCombo(widgets["ana_combobox"], data, name="ana_combobox")
uistuff.createCombo(widgets["inv_ana_combobox"],
data,
name="inv_ana_combobox")
def update_analyzers_store(discoverer):
data = [(item[0], item[1]) for item in newGameDialog.analyzerItems]
uistuff.updateCombo(widgets["ana_combobox"], data)
uistuff.updateCombo(widgets["inv_ana_combobox"], data)
discoverer.connect_after("all_engines_discovered",
update_analyzers_store)
update_analyzers_store(discoverer)
# Save, load and make analyze combos active
engine = discoverer.getEngineByName(discoverer.getEngineLearn())
if engine is None:
engine = discoverer.getEngineN(-1)
default = engine.get("md5")
conf.set("ana_combobox", conf.get("ana_combobox", default))
conf.set("inv_ana_combobox", conf.get("inv_ana_combobox", default))
def on_analyzer_check_toggled(check):
self.widgets["analyzers_vbox"].set_sensitive(check.get_active())
from pychess.widgets.gamewidget import widgets
perspective = perspective_manager.get_perspective("games")
if len(perspective.gamewidgets) != 0:
if check.get_active():
for gmwidg in perspective.gamewidgets:
asyncio. async (
gmwidg.gamemodel.restart_analyzer(HINT))
if not widgets["hint_mode"].get_active():
gmwidg.gamemodel.pause_analyzer(HINT)
else:
for gmwidg in perspective.gamewidgets:
gmwidg.gamemodel.remove_analyzer(HINT)
self.widgets["analyzers_vbox"].set_sensitive(
widgets["analyzer_check"].get_active())
self.widgets["analyzer_check"].connect_after(
"toggled", on_analyzer_check_toggled)
def on_invanalyzer_check_toggled(check):
self.widgets["inv_analyzers_vbox"].set_sensitive(
check.get_active())
perspective = perspective_manager.get_perspective("games")
if len(perspective.gamewidgets) != 0:
if check.get_active():
for gmwidg in perspective.gamewidgets:
asyncio. async (gmwidg.gamemodel.restart_analyzer(SPY))
if not widgets["spy_mode"].get_active():
gmwidg.gamemodel.pause_analyzer(SPY)
else:
for gmwidg in perspective.gamewidgets:
gmwidg.gamemodel.remove_analyzer(SPY)
self.widgets["inv_analyzers_vbox"].set_sensitive(
widgets["inv_analyzer_check"].get_active())
self.widgets["inv_analyzer_check"].connect_after(
"toggled", on_invanalyzer_check_toggled)
# Give widgets to keeper
uistuff.keep(
self.widgets["ana_combobox"], "ana_combobox", anal_combo_get_value,
lambda combobox, value: anal_combo_set_value(
combobox, value, "hint_mode", "analyzer_check", HINT))
uistuff.keep(
self.widgets["inv_ana_combobox"], "inv_ana_combobox",
anal_combo_get_value, lambda combobox, value: anal_combo_set_value(
combobox, value, "spy_mode", "inv_analyzer_check", SPY))
uistuff.keep(self.widgets["max_analysis_spin"],
"max_analysis_spin",
first_value=3)
uistuff.keep(self.widgets["infinite_analysis"],
"infinite_analysis",
first_value=False)
def start_puzzle_from(filename, index=None):
if filename.lower().endswith(".pgn"):
chessfile = PGNFile(protoopen(addDataPrefix("learn/puzzles/%s" % filename)))
chessfile.limit = 1000
chessfile.init_tag_database()
elif filename.lower().endswith(".olv"):
chessfile = OLVFile(protoopen(addDataPrefix("learn/puzzles/%s" % filename), encoding="utf-8"))
records, plys = chessfile.get_records()
progress = puzzles_solving_progress.get(filename, [0] * chessfile.count)
if index is None:
index = progress.index(0)
rec = records[index]
timemodel = TimeModel(0, 0)
gamemodel = LearnModel(timemodel)
chessfile.loadToModel(rec, 0, gamemodel)
gamemodel.set_learn_data(PUZZLE, filename, index, len(records))
engine = discoverer.getEngineByName(discoverer.getEngineLearn())
ponder_off = True
color = gamemodel.boards[0].color
w_name = "" if rec["White"] is None else rec["White"]
b_name = "" if rec["Black"] is None else rec["Black"]
player_name = conf.get("firstName", _("You"))
engine_name = discoverer.getName(engine)
if rec["Event"].startswith("Lichess Practice"):
w_name = player_name if color == WHITE else engine_name
b_name = engine_name if color == WHITE else player_name
opp_name = engine_name if rec["Event"].startswith("Lichess Practice") else b_name
if color == WHITE:
p0 = (LOCAL, Human, (WHITE, w_name), w_name)
p1 = (ARTIFICIAL, discoverer.initPlayerEngine,
(engine, BLACK, 20, variants[NORMALCHESS], 20, 0, 0, ponder_off), b_name)
else:
p0 = (ARTIFICIAL, discoverer.initPlayerEngine,
(engine, WHITE, 20, variants[NORMALCHESS], 20, 0, 0, ponder_off), w_name)
p1 = (LOCAL, Human, (BLACK, b_name), b_name)
def start_analyzer(gamemodel, name, color):
asyncio.async(gamemodel.start_analyzer(HINT, force_engine=discoverer.getEngineLearn()))
gamemodel.players[1 - color].name = name
gamemodel.emit("players_changed")
gamemodel.connect("game_started", start_analyzer, opp_name, color)
def goal_checked(gamemodle):
if gamemodel.reason == PRACTICE_GOAL_REACHED:
progress = puzzles_solving_progress[gamemodel.source]
progress[gamemodel.current_index] = 1
puzzles_solving_progress[gamemodel.source] = progress
gamemodel.connect("goal_checked", goal_checked)
gamemodel.variant.need_initial_board = True
gamemodel.status = WAITING_TO_START
perspective = perspective_manager.get_perspective("games")
asyncio.async(perspective.generalStart(gamemodel, p0, p1))
