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) chessfile.loadToModel(rec, 0, gamemodel) start_puzzle_game(gamemodel, filename, records, index, rec)
def row_activated(self, widget, path, col): if path is None: return filename = addDataPrefix("lectures/%s" % LESSONS[path[0]][0]) chessfile = PGNFile(protoopen(filename)) self.importer = PgnImport(chessfile) chessfile.init_tag_database(self.importer) records, plys = chessfile.get_records() rec = records[random.randrange(0, len(records))] print(rec) timemodel = TimeModel(0, 0) gamemodel = GameModel(timemodel) gamemodel.set_lesson_game() chessfile.loadToModel(rec, -1, gamemodel) name = conf.get("firstName", _("You")) p0 = (LOCAL, Human, (WHITE, name), name) name = "pychessbot" p1 = (LOCAL, Human, (BLACK, name), name) gamemodel.status = WAITING_TO_START perspective = perspective_manager.get_perspective("games") asyncio. async (perspective.generalStart(gamemodel, p0, p1))
def start_lesson_from(filename, index=None): chessfile = PGNFile(protoopen(addDataPrefix("learn/lessons/%s" % filename))) chessfile.limit = 1000 chessfile.init_tag_database() records, plys = chessfile.get_records() progress = lessons_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, -1, gamemodel) if len(gamemodel.moves) > 0: start_lesson_game(gamemodel, filename, chessfile, records, index, rec) else: start_puzzle_game(gamemodel, filename, records, index, rec, from_lesson=True)
def start_lesson_from(filename, index=None): if filename.startswith("lichess_study"): chessfile = PGNFile( protoopen(addDataPrefix("learn/lessons/%s" % filename), encoding="utf-8")) else: chessfile = PGNFile( protoopen(addDataPrefix("learn/lessons/%s" % filename))) chessfile.limit = 1000 chessfile.init_tag_database() records, plys = chessfile.get_records() progress = lessons_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(LESSON, filename, index, len(records)) chessfile.loadToModel(rec, -1, gamemodel) color = gamemodel.boards[0].color player_name = conf.get("firstName", _("You")) w_name = player_name if color == WHITE else "PyChess" b_name = "PyChess" if color == WHITE else player_name p0 = (LOCAL, Human, (WHITE, w_name), w_name) p1 = (LOCAL, Human, (BLACK, b_name), b_name) def learn_success(gamemodel): chessfile.loadToModel(rec, -1, gamemodel) progress = lessons_solving_progress[gamemodel.source] progress[gamemodel.current_index] = 1 lessons_solving_progress[gamemodel.source] = progress asyncio. async (gamemodel.restart_analyzer(HINT)) gamemodel.connect("learn_success", learn_success) 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) gamemodel.status = WAITING_TO_START perspective = perspective_manager.get_perspective("games") asyncio. async (perspective.generalStart(gamemodel, p0, p1))
def start_lesson_from(filename, index=None): chessfile = PGNFile(protoopen(addDataPrefix("learn/lessons/%s" % filename))) chessfile.limit = 1000 chessfile.init_tag_database() records, plys = chessfile.get_records() progress = lessons_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(LESSON, filename, index, len(records)) chessfile.loadToModel(rec, -1, gamemodel) color = gamemodel.boards[0].color player_name = conf.get("firstName", _("You")) w_name = player_name if color == WHITE else "PyChess" b_name = "PyChess" if color == WHITE else player_name p0 = (LOCAL, Human, (WHITE, w_name), w_name) p1 = (LOCAL, Human, (BLACK, b_name), b_name) def learn_success(gamemodel): progress = lessons_solving_progress[gamemodel.source] progress[gamemodel.current_index] = 1 lessons_solving_progress[gamemodel.source] = progress asyncio.async(gamemodel.restart_analyzer(HINT)) gamemodel.connect("learn_success", learn_success) def start_analyzer(gamemodel): asyncio.async(gamemodel.start_analyzer(HINT, force_engine=discoverer.getEngineLearn())) gamemodel.connect("game_started", start_analyzer) gamemodel.status = WAITING_TO_START perspective = perspective_manager.get_perspective("games") asyncio.async(perspective.generalStart(gamemodel, p0, p1))
def start_puzzle_from(filename): chessfile = PGNFile(protoopen(addDataPrefix("lectures/%s" % filename))) chessfile.limit = 1000 importer = PgnImport(chessfile) chessfile.init_tag_database(importer) records, plys = chessfile.get_records() rec = records[random.randrange(0, len(records))] timemodel = TimeModel(0, 0) gamemodel = GameModel(timemodel) gamemodel.set_practice_game() gamemodel.practice = ("puzzle", filename) chessfile.loadToModel(rec, 0, gamemodel) # TODO: change colors according to FEN! name = rec["White"] p0 = (LOCAL, Human, (WHITE, name), name) engine = discoverer.getEngineByName(stockfish_name) name = rec["Black"] ponder_off = True p1 = (ARTIFICIAL, discoverer.initPlayerEngine, (engine, BLACK, 20, variants[NORMALCHESS], 60, 0, 0, ponder_off), name) def fix_name(gamemodel, name): asyncio. async (gamemodel.start_analyzer(HINT, force_engine=stockfish_name)) gamemodel.players[1].name = name gamemodel.emit("players_changed") gamemodel.connect("game_started", fix_name, name) 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 start_lesson_from(filename, index=None): chessfile = PGNFile(protoopen(addDataPrefix("learn/lessons/%s" % filename))) chessfile.limit = 1000 chessfile.init_tag_database() records, plys = chessfile.get_records() progress = lessons_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, -1, gamemodel) if len(gamemodel.moves) > 0: start_lesson_game(gamemodel, filename, chessfile, records, index, rec) else: start_puzzle_game(gamemodel, filename, records, index, rec, from_lesson=True)
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) start_puzzle_game(gamemodel, filename, records, index, rec)
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 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))