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2.4 KiB
2.4 KiB
title | description |
---|---|
messages.saveDraft | messages.saveDraft parameters, return type and example |
Method: messages.saveDraft
Parameters:
Name | Type | Required |
---|---|---|
no_webpage | Bool | Optional |
reply_to_msg_id | int | Optional |
peer | InputPeer | Yes |
message | string | Yes |
entities | Array of MessageEntity | Optional |
parse_mode | string | Optional |
Return type: Bool
Example:
$MadelineProto = new \danog\MadelineProto\API();
if (isset($token)) { // Login as a bot
$this->bot_login($token);
}
if (isset($number)) { // Login as a user
$sentCode = $MadelineProto->phone_login($number);
echo 'Enter the code you received: ';
$code = '';
for ($x = 0; $x < $sentCode['type']['length']; $x++) {
$code .= fgetc(STDIN);
}
$MadelineProto->complete_phone_login($code);
}
$Bool = $MadelineProto->messages->saveDraft(['no_webpage' => Bool, 'reply_to_msg_id' => int, 'peer' => InputPeer, 'message' => string, 'entities' => [MessageEntity], 'parse_mode' => 'string', ]);
Or, if you're into Lua:
Bool = messages.saveDraft({no_webpage=Bool, reply_to_msg_id=int, peer=InputPeer, message=string, entities={MessageEntity}, parse_mode='string', })
Usage of parse_mode:
Set parse_mode to html to enable HTML parsing of the message.
Set parse_mode to Markdown to enable markown AND html parsing of the message.
The following tags are currently supported:
<br>a newline
<b><i>bold works ok, internal tags are stripped</i> </b>
<strong>bold</strong>
<em>italic</em>
<i>italic</i>
<code>inline fixed-width code</code>
<pre>pre-formatted fixed-width code block</pre>
<a href="https://github.com">URL</a>
<a href="mention:@danogentili">Mention by username</a>
<a href="mention:186785362">Mention by user id</a>
<pre language="json">Pre tags can have a language attribute</pre>
You can also use normal markdown, note that to create mentions you must use the mention:
syntax like in html:
[Mention by username](mention:@danogentili)
[Mention by user id](mention:186785362)
MadelineProto supports all html entities supported by html_entity_decode.