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		<title>liraland.ua [тема: Программирование в Сапфир]</title>
		<link>http://www.liraland.ua</link>
		<description>Нове в темі Программирование в Сапфир форума  на сайті liraland.ua [www.liraland.ua]</description>
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		<pubDate>Sun, 19 Apr 2026 21:37:24 +0300</pubDate>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17276/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Добрый день. Подскажите пж есть ли возможность добраться до параметров нагрузки от объектов, до этапа экспорта аналитической модели в расчетную. На этапе формирования расчетноой модели у нас есть возможность обратиться с упомянутым нагрузкам. На этапе работы с аналитической моделью, параметры упомянутых нагрузок можно менять только косвено через материнские обьекты, а на прямую у меня не получается. Например я бы хотел задать наименование нагрузки содержащую название материала и тощину материнского обекта. <br />
			<i>03.04.2026 03:13:33, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17276/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17276/</guid>
			<pubDate>Fri, 03 Apr 2026 03:13:33 +0300</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17275/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Добрый день пытаюсь удалить объект по id. Получают такой отверт<br /><img 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" border="0" /> <br />
			<i>02.04.2026 11:51:26, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17275/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17275/</guid>
			<pubDate>Thu, 02 Apr 2026 11:51:26 +0300</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17272/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			LiraCAD.tlb а по какому пути файл находиться ? поиск по имени не дал положительного результата &nbsp; <br />
			<i>03.03.2026 05:08:01, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17272/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17272/</guid>
			<pubDate>Tue, 03 Mar 2026 05:08:01 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17271/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			<br />====quote====<br /> написал:<br /> <br />====quote====<br /> написал:<br /> &nbsp;<br />====quote====<br /> написал:<br />Кстати можно ли как то получить список возможных функций для данного объекта ? Иногда возникают ошибки о неприменимости определнных функци к определнным типам объектов<br />=============<br /> &nbsp;<br />=============<br /> А тут я не понял. Что вы имеете в виду ?<br />=============<br />Извините. Исправил комментарий к предыдущему посту.<br /><br />С уважением, Алексей Тищенко &nbsp; <br />
			<i>02.03.2026 11:14:16, alekstish.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17271/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17271/</guid>
			<pubDate>Mon, 02 Mar 2026 11:14:16 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17270/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			<br />====quote====<br /> написал:<br /> <br />====quote====<br /> написал:<br />Кстати можно ли как то получить список возможных функций для данного объекта ? Иногда возникают ошибки о неприменимости определнных функци к определнным типам объектов<br />=============<br /> <br />=============<br />А тут я не понял. Что вы имеете в виду ? <br />
			<i>02.03.2026 07:36:12, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17270/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17270/</guid>
			<pubDate>Mon, 02 Mar 2026 07:36:12 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17269/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			, Спасибо за подсказку решения ! <br />
			<i>02.03.2026 07:35:54, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17269/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17269/</guid>
			<pubDate>Mon, 02 Mar 2026 07:35:54 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17268/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			<br />====quote====<br /> написал:<br />Кстати можно ли как то получить список возможных функций для данного объекта ? Иногда возникают ошибки о неприменимости определнных функци к определнным типам объектов<br />=============<br />Подробного описания нет, но по идее можно создать проект, например, на C#, подключить к нему &nbsp;LiraCAD.tlb (SAPFIR.tlb) из поставки, и там будет видно все классы автоматизации со всеми функциями.<br /><br />С уважением, Алексей Тищенко <br />
			<i>28.02.2026 19:35:19, alekstish.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17268/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17268/</guid>
			<pubDate>Sat, 28 Feb 2026 19:35:19 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17267/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			<br />====quote====<br /> написал:<br />Добрый день через obj.Parameter нет возможности добраться до Формы АЖТ у Колонн<br /> <br />СТак же не удалось получить значение данного параметра через GetMnParam<br />=============<br />Действительно, была проблема с получением этого параметра.<br />Поправили.<br /><br />С уважением, Алексей Тищенко <br />
			<img src="https://www.liraland.ua/bitrix/components/bitrix/forum.interface/show_file.php?fid=44378&" width="903" height="317" /><br /><i>28.02.2026 19:33:42, alekstish.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17267/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17267/</guid>
			<pubDate>Sat, 28 Feb 2026 19:33:42 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17266/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			<br />====quote====<br /> написал:<br />Добрый день, если объекту лестнице добавить пользовательский параметр через obj.Parameter&#91;&#39; &#39;&#93; = &nbsp;визуально физическая модель лестницы исчезает, остается аналитическа модель, так же объект останется в диспетчере но ключевая часть параметров лестницы исчезнет.<br /><br />часть кода с добавлением пользовательского параметра<br /> 
====code====
<pre>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; if obj_it_o is None:
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;if obj_it is None:
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;obj.Parameter&#91;'IfcType'&#93; = ""
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;else:
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;obj.Parameter&#91;'IfcType'&#93; = obj_it
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;else:
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;obj.Parameter&#91;'IfcType'&#93; = obj_it_o </pre>
=============
 <br />=============<br />Добрый день!<br /><br />С лестницами могут быть проблемы в дополнительных параметрах. Сейчас для лестниц все параметры генерации лестницы являются дополнительными. То есть скрипт, который их генерирует, скорее всего при регенерации полностью обновляет эти параметры, и все параметры, которые добавлялись, например, через ноды, могут пропасть.<br /><br /><p></p><p></p><p> &nbsp; &nbsp;OBP_VALUES = 0x10 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; # получить значения параметров</p><p> &nbsp; &nbsp;NPA_PT_STRING = 0x01</p><p> &nbsp; &nbsp;NPA_PT_INT &nbsp; &nbsp;= 0x03</p><p> &nbsp; &nbsp;NPA_PT_FLOAT &nbsp;= 0x04</p><p> &nbsp; &nbsp;NPA_EXT_PARAM =0x20000000 &nbsp; &nbsp; # локальные параметры добавленные при импорте из IFC и т.п. </p><p> &nbsp; &nbsp;doc = node.GetDocument()</p><p> &nbsp; &nbsp;prj = doc.GetActiveProject()</p><p> &nbsp; &nbsp;obj = prj.GetModelByID(10)</p><p> &nbsp; &nbsp;obj.AddParameter(&#39;IType&#39;,&#39;345&#39;, NPA_PT_STRING|NPA_EXT_PARAM, OBP_VALUES)</p><p> </p><p>Для лестниц, а также для других объектов лучше добавлять свои параметры вот так.</p><p>С уважением, Алексей Тищенко</p> <br />
			<i>27.02.2026 13:19:54, alekstish.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17266/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17266/</guid>
			<pubDate>Fri, 27 Feb 2026 13:19:54 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17265/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Кстати можно ли как то получить список возможных функций для данного объекта ? Иногда возникают ошибки о неприменимости определнных функци к определнным типам объектов <br />
			<i>27.02.2026 08:53:30, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17265/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17265/</guid>
			<pubDate>Fri, 27 Feb 2026 08:53:30 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17264/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Добрый день через obj.Parameter нет возможности добраться до Формы АЖТ у Колонн<br /><img src="data:image/png;base64,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" border="0" /><br />СТак же не удалось получить значение данного параметра через GetMnParam <br />
			<i>27.02.2026 02:03:09, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17264/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17264/</guid>
			<pubDate>Fri, 27 Feb 2026 02:03:09 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17263/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			obj.Parameter&#91;&#39; &#39;&#93; = &nbsp;с помещениями странно отрабатывает, я не могу добавить пользовательские параметры, и для помещений не подходит ClearMnParam. Кроме того непонятно что писать в идентификатор режима роботы, поставил 0 вроде работает <br />
			<i>26.02.2026 06:43:14, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17263/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17263/</guid>
			<pubDate>Thu, 26 Feb 2026 06:43:14 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17262/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Добрый день, если объекту лестнице добавить пользовательский параметр через obj.Parameter&#91;&#39; &#39;&#93; = &nbsp;визуально физическая модель лестницы исчезает, остается аналитическа модель, так же объект останется в диспетчере но ключевая часть параметров лестницы исчезнет.<br /><br />часть кода с добавлением пользовательского параметра<br />
====code====
<pre>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;if obj_it_o is None:
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;if obj_it is None:
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;obj.Parameter&#91;'IfcType'&#93; = ""
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;else:
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;obj.Parameter&#91;'IfcType'&#93; = obj_it
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;else:
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;obj.Parameter&#91;'IfcType'&#93; = obj_it_o</pre>
============= <br />
			<i>26.02.2026 01:23:46, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17262/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17262/</guid>
			<pubDate>Thu, 26 Feb 2026 01:23:46 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17261/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Приветствую!<br /><br /><p>Под плитой обычно будет очень много объектов. У объекта есть функция <B>GetBox</B></p><p>Дальше можно просто проверить, попадает ли бокс объекта в бокс плиты в координатах XY, без учета координаты Z</p><p></p><p>С уважением, Алексей Тищенко</p> <br />
			<i>23.02.2026 10:58:33, alekstish.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17261/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17261/</guid>
			<pubDate>Mon, 23 Feb 2026 10:58:33 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17260/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			, Добрый день подскажи функции которыми можно было бы искать объекты рядом с исходны ? Допустим найти объект под плитой ближайший <br />
			<i>16.02.2026 12:28:07, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17260/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17260/</guid>
			<pubDate>Mon, 16 Feb 2026 12:28:07 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17235/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			<br />====quote====<br /> написал:<br />наследник от этажа и методы этажа<br />=============<br />Спасибо, буду пробовать <br />
			<i>23.01.2026 01:10:55, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17235/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17235/</guid>
			<pubDate>Fri, 23 Jan 2026 01:10:55 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17233/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Добрый день, <span class="bx-font" style="color:#0000ee"><B>E</B><span class="bx-font" style="color:#000000"><B></B></span><B>xpert_Hell</B>!</span><br />По идее у документа по ID &nbsp;можно получить указатель на объект, т.е. получить указатель на расчетную схему. А она наследник от этажа и методы этажа к ней подойдут для того, чтобы перебрать все что в ней есть.<br /><br />С уважением, Алексей Тищенко <br />
			<i>22.01.2026 15:50:55, alekstish.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17233/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17233/</guid>
			<pubDate>Thu, 22 Jan 2026 15:50:55 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17232/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Добрый день, подскажи имеется ли возможность из ISapfirDoc добраться до расчетной схемы ? var TM_FEAPROJECT = 6; // Конструкции до вот этой штуки ? Допустим сейчас можно через id.<br />Тогда возникается другой вопрос как перебрать объекты в сами нагрузки ? Ну и допустим пройтись по всем нагрузкам через тот же индекс ? <br />
			<i>22.01.2026 11:07:23, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17232/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17232/</guid>
			<pubDate>Thu, 22 Jan 2026 11:07:23 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17231/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Приветствую, <B>Expert_Hell</B>!<br /><br />Доработаем <B>Parameter<br /></B><br />С уважением, Алексей Тищенко <br />
			<i>21.01.2026 12:29:31, alekstish.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17231/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17231/</guid>
			<pubDate>Wed, 21 Jan 2026 12:29:31 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17229/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Добрый день, чере Parameter нет возможности добраться до свойтв помещения: формировать доп монтажные и загружения:
====code====
<pre>import clr





def solve(node):

&nbsp;&nbsp;&nbsp;&nbsp;pass



&nbsp;&nbsp;&nbsp;&nbsp;doc = node.GetDocument()

&nbsp;&nbsp;&nbsp;&nbsp;prj = doc.GetActiveProject()

&nbsp;&nbsp;&nbsp;&nbsp;

&nbsp;&nbsp;&nbsp;&nbsp;str = prj.GetFirstStorey(1)

&nbsp;&nbsp;&nbsp;&nbsp;obj = str.GetModelByIndex2(0)

&nbsp;&nbsp;&nbsp;&nbsp;test11 = obj.Parameter&#91;'M_LOADAREA_CONST'&#93;

&nbsp;&nbsp;&nbsp;&nbsp;test12 = obj.Parameter&#91;'M_LOADCASE3'&#93; # НЕ ДОБРАТЬСЯ

&nbsp;&nbsp;&nbsp;&nbsp;test13 = obj.Parameter&#91;'M_DopMontag_3'&#93; # НЕ ДОБРАТЬСЯ

&nbsp;&nbsp;&nbsp;&nbsp;test21 = obj.Parameter&#91;'M_LOADAREA_EXP'&#93;

&nbsp;&nbsp;&nbsp;&nbsp;test31 = obj.Parameter&#91;'M_LOADAREA_TMP'&#93;

&nbsp;&nbsp;&nbsp;&nbsp;a = 1</pre>
============= <br />
			<i>19.01.2026 09:07:20, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17229/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17229/</guid>
			<pubDate>Mon, 19 Jan 2026 09:07:20 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17228/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			<br />====quote====<br /> написал:<br />Добрый день, при попытке разобрать блок отладка выдала такую ошибку: Ошибка на сервере. (Исключение из HRESULT: 0x80010105 (RPC_E_SERVERFAULT))<br /> <br />Хотя в модели нод отработал как нужно.<br /><br />Не совсем, цикл прекртился и если несколько плоков на этаж подходяш то отработал только первый попавшийся<br />=============<br />Было бы хорошо, если бы Вы прислали свой нод и тестовую модель.<br /><br />С уважением, Алексей Тищенко <br />
			<i>15.01.2026 15:11:01, alekstish.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17228/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17228/</guid>
			<pubDate>Thu, 15 Jan 2026 15:11:01 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17227/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			<br />====quote====<br /> написал:<br />Добрый день подскажите можно ли для AutoAxes добраться до параметров отвечающие за на названия осей и их размеров, представленных в этом меню ?<br /> <br />И как можно добавить AutoAxes на уровень проекта ? Получается только на уровень этажа через AddOutModel<br />=============<br />К сожалению, в <B>AutoAxes</B> нет необходимой функциональности. Доработаем.<br /><br />С уважением, Алексей Тищенко <br />
			<i>15.01.2026 15:03:02, alekstish.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17227/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17227/</guid>
			<pubDate>Thu, 15 Jan 2026 15:03:02 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17226/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			<br />====quote====<br /><a class="blog-p-user-name" id="bp_IbIRCZKt" href="/forum/user/98285/" bx-tooltip-user-id="98285">Expert_Hell</a> написал:<br />Добрый день спасибо большое за пояснения. Возник еще вопрос:<br />var Model = Storey.GetModelByIndex(indexModel) ; По индексу получить объект, приведенный к AutoModel<br />var Model = Storey.GetModelByIndex2(indexModel) ; По индексу получить объект, без приведенния к AutoModel<br />На примере обозначения осей отладка подсказала что получил в первом случае AutoModel во втором AutoDim. В каком случае верно использовать GetModelByIndex по задумке разработчика ?<br />=============<br /><br /><B>Storey.GetModelByIndex(indexModel)</B> и <B>Storey.GetModelByIndex2(indexModel)</B> получают объекты автоматизации для одного и того же объекта модели САПФИРа, но предоставляют разный набор функций.<br /><br /><B>AutoModel</B> - это общий базовый тип для всех типов объектов и содержит универсальные методы, подходящие почти для любых элементов. Поэтому <B>GetModelByIndex</B> целесообразно использовать в случаях, когда тип объекта заранее неизвестен - например, когда мы просто перебираем все объекты на этаже.<br /><br />А <B>GetModelByIndex2</B> позволяет получить автоматизированный объект конкретного типа и получить доступ к более специализированным свойствам этого объекта.<br /><br />С уважением, Алексей Тищенко <br />
			<i>15.01.2026 10:51:49, alekstish.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17226/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17226/</guid>
			<pubDate>Thu, 15 Jan 2026 10:51:49 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17223/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Добрый день, при попытке разобрать блок отладка выдала такую ошибку: Ошибка на сервере. (Исключение из HRESULT: 0x80010105 (RPC_E_SERVERFAULT))<br /><img 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" border="0" /><br />Хотя в модели нод отработал как нужно.<br /><br />Не совсем, цикл прекртился и если несколько плоков на этаж подходяш то отработал только первый попавшийся <br />
			<i>13.01.2026 09:51:19, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17223/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17223/</guid>
			<pubDate>Tue, 13 Jan 2026 09:51:19 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17222/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Добрый день подскажите можно ли для AutoAxes добраться до параметров отвечающие за на названия осей и их размеров, представленных в этом меню ?<br /><img 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" border="0" /><br />И как можно добавить AutoAxes на уровень проекта ? Получается только на уровень этажа через AddOutModel <br />
			<i>13.01.2026 08:40:42, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17222/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17222/</guid>
			<pubDate>Tue, 13 Jan 2026 08:40:42 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17220/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Добрый день спасибо большое за пояснения. Возник еще вопрос:<br />var Model = Storey.GetModelByIndex(indexModel) ; По индексу получить объект, приведенный к AutoModel<br />var Model = Storey.GetModelByIndex2(indexModel) ; По индексу получить объект, без приведенния к AutoModel<br />На примере обозначения осей отладка подсказала что получил в первом случае AutoModel во втором AutoDim. В каком случае верно использовать GetModelByIndex по задумке разработчика ? <br />
			<i>12.01.2026 04:51:07, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17220/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17220/</guid>
			<pubDate>Mon, 12 Jan 2026 04:51:07 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17218/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Дополнение.<br /><br />Если «объект» — это просто точка, линия или меш, то сначала у нода нужно получить контейнер для таких объектов, а затем добавлять в него элементы.<br />out_model = node.GetOutModel(0) # получаем указатель на локальный контейнер моделей нода выхода "0"<br />Arc = out_model.NewModel(TM3_ARC) # в выходном контейнере создаем примитив "Окружность" или если есть готовая линия out_model.AddModel(ln) # такую полилинию добавляем в выходной контейнер<br /><br />C уважением, Алексей Тищенко <br />
			<i>25.12.2025 14:24:59, alekstish.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17218/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17218/</guid>
			<pubDate>Thu, 25 Dec 2025 14:24:59 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
		</item>
		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17217/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Приветствую!<br /><br />Зависит от того, создаётся ли этот объект самим нодом, или нод работает как фильтр и должен просто транзитом “передавать” объекты с входа на выход.<br />Если объект создаётся нодом, то необходимо вызывать функцию <B>Object AddOutModel(Int32 IDio, Int32 TypeModel, Object pStorey)</B><br />Этот метод предназначен для добавления на заданный выход нода объекта САПФИР указанного типа (стены, колонны, балки и др.).<br />Аргументы:<br />Int32 IDio -&gt; Идентификатор выхода<br />Int32 TypeModel -&gt; Идентификатор типа модели<br />Object pStorey -&gt; Объект этажа<br /><br />Если просто транзитом — тогда используйте <B>SetArrayIdObjectOut(Int32 IdOut, Object Param)</B><br />Аргументы:<br />Int32 OutID -&gt; Идентификатор выхода нода<br /><br />C уважением, Алексей Тищенко <br />
			<i>25.12.2025 11:14:30, alekstish.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17217/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17217/</guid>
			<pubDate>Thu, 25 Dec 2025 11:14:30 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
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		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17216/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Здраствуйте, а подскажите пожалуйста как в пользовательском ноде на python подать на выход список обьектов. <br />
			<i>24.12.2025 04:27:16, Expert_Hell.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17216/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17216/</guid>
			<pubDate>Wed, 24 Dec 2025 04:27:16 +0200</pubDate>
			<category>Работа программы (Сапфир)</category>
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		<item>
			<title>Программирование в Сапфир</title>
			<description><![CDATA[<b><a href="http://www.liraland.ua/forum/messages/forum16/topic2010/message17065/">Программирование в Сапфир</a></b> <i>Какие библиотеки за что отвечают</i> у форумі <a href="http://www.liraland.ua/forum/forum16/">Работа программы (Сапфир)</a>. <br />
			Добрый день. <br />Пытаюсь повторить стандартный нод создать поверхность по образующей и траектории.<br />В Описание функций автоматизации САПФИР.pdf узнал, что в контур нужно положить две полилинии, но что то не выходит, что я делаю не так или, что упустил?<br /> Вот фрагмент:
====code====
<pre>TM_SURFACE&nbsp;&nbsp; = 70
surf=node.AddOutModel(0, TM_SURFACE, storey)
contsf=surf.GetContour()
axis=TLn.GetAxisLine()
i=contsf.AddPolyLine(axis)
axis=GLn.GetAxisLine()
i=contsf.AddPolyLine(axis)
</pre>
============= <br />
			<i>15.09.2023 12:13:11, Иван Давыдов.</i>]]></description>
			<link>http://www.liraland.ua/forum/messages/forum16/topic2010/message17065/</link>
			<guid>http://www.liraland.ua/forum/messages/forum16/topic2010/message17065/</guid>
			<pubDate>Fri, 15 Sep 2023 12:13:11 +0300</pubDate>
			<category>Работа программы (Сапфир)</category>
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