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https://github.com/danog/MadelineProto.git
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Daniil Gentili
e4a326e552
* refactor * Apply fixes from StyleCI * Implement https and http transport, add support for new req_pq_multi, send pending acks and objects in containers along with the next method call, remove dependency on the socket extension. * Apply fixes from StyleCI * Make types with empty constructors optional, fix phar archives (fixes #217) * Apply fixes from StyleCI * Update to layer 75 * Update github pages gemfile.lock
1.9 KiB
1.9 KiB
| title | description |
|---|---|
| photos.uploadProfilePhoto | photos.uploadProfilePhoto parameters, return type and example |
Method: photos.uploadProfilePhoto
Parameters:
| Name | Type | Required |
|---|---|---|
| file | InputFile | Yes |
| caption | string | Yes |
| geo_point | InputGeoPoint | Optional |
| crop | InputPhotoCrop | Yes |
Return type: photos_Photo
Can bots use this method: NO
Errors this method can return:
| Error | Description |
|---|---|
| FILE_PARTS_INVALID | The number of file parts is invalid |
| IMAGE_PROCESS_FAILED | Failure while processing image |
| PHOTO_CROP_SIZE_SMALL | Photo is too small |
| PHOTO_EXT_INVALID | The extension of the photo is invalid |
Example:
$MadelineProto = new \danog\MadelineProto\API();
$MadelineProto->session = 'mySession.madeline';
if (isset($number)) { // Login as a user
$MadelineProto->phone_login($number);
$code = readline('Enter the code you received: '); // Or do this in two separate steps in an HTTP API
$MadelineProto->complete_phone_login($code);
}
$photos_Photo = $MadelineProto->photos->uploadProfilePhoto(['file' => InputFile, 'caption' => 'string', 'geo_point' => InputGeoPoint, 'crop' => InputPhotoCrop, ]);
Or, if you're using the PWRTelegram HTTP API:
As a user:
POST/GET to https://api.pwrtelegram.xyz/userTOKEN/photos.uploadProfilePhoto
Parameters:
file - Json encoded InputFile
caption - Json encoded string
geo_point - Json encoded InputGeoPoint
crop - Json encoded InputPhotoCrop
Or, if you're into Lua:
photos_Photo = photos.uploadProfilePhoto({file=InputFile, caption='string', geo_point=InputGeoPoint, crop=InputPhotoCrop, })