Fetching Images for RSS Responses in SUSI Web Chat

Initially, SUSI Web Chat rendered RSS action type responses like this:

The response from the server initially only contained

  • Title
  • Description
  • Link

We needed to improvise the web search & RSS results display and also add images for the results.

The web search & RSS results are now rendered as :

How was this implemented?

SUSI AI uses Yacy to fetchRSSs feeds. Firstly the server using the console process to return the RSS feeds from Yacy needs to be configured to return images too.

"yacy":{
  "example":"http://127.0.0.1:4000/susi/console.json?q=%22SELECT%20title,%20link%20FROM%20yacy%20WHERE%20query=%27java%27;%22",
  "url":"http://yacy.searchlab.eu/solr/select?wt=yjson&q=",
  "test":"java",
  "parser":"json",
  "path":"$.channels[0].items",
  "license":""
}

In a console process, we provide the URL needed to fetch data from, the query parameter needed to be passed to the URL and the path to look for the answer in the API response.

  • url = <url>   – the URL to the remote JSON service which will be used to retrieve information. It must contain a $query$ string.
  • test = <parameter> – the parameter that will replace the $query$ string inside the given URL. It is required to test the service.

Here the URL used is :

http://yacy.searchlab.eu/solr/select?wt=yjson&q=QUERY

To include images in RSS action responses, we need to parse the images also from the Yacy response. For this, we need to add `image` in the selection rule while calling the console process

"process":[
  {
    "type":"console",
    "expression":"SELECT title,description,link FROM yacy WHERE query='$1$';"
  }
]

Now the response from the server for RSS action type will also include `image` along with title, description, and link. An example response for the query `Google` :

{
  "title": "Terms of Service | Google Analytics \u2013 Google",
  "description": "Read Google Analytics terms of service.",
  "link": "http://www.google.com/analytics/terms/",
  "image":   "https://www.google.com/images/branding/googlelogo/1x/googlelogo_color_116x41dp.png",
}

However, the results at times, do not contain images because there are none stored in the index. This may happen if the result comes from p2p transmission within Yacy where no images are transmitted. So in cases where images are not returned by the server, we use the link preview service to preview the link and fetch the image.

The endpoint for previewing the link is :

BASE_URL+'/susi/linkPreview.json?url=URL'

On the client side, we first search the response for data objects with images in API actions. And the amongst the remaining data objects in answers[0].data, we preview the link to fetch image keeping a check on the count. This needs to be performed for processing the history cognitions too.To preview the remaining links in a loop, we cannot make ajax calls directly in a loop. To handle this, nested ajax calls are made using the function previewURLForImage() where we loop through the remaining links and on the success we decrement the count and call previewURLForImage() on the next link and on error we try previewURLForImage() on the next link without decrementing the count.

success: function (rssResponse) {
  if(rssResponse.accepted){
    respData.image = rssResponse.image;
    respData.descriptionShort = rssResponse.descriptionShort;
    receivedMessage.rssResults.push(respData);
  }
  if(receivedMessage.rssResults.length === count ||
    j === remainingDataIndices.length - 1){
    let message = ChatMessageUtils.getSUSIMessageData(receivedMessage, currentThreadID);
    ChatAppDispatcher.dispatch({
      type: ActionTypes.CREATE_SUSI_MESSAGE,
      message
    });
  }
  else{
    j+=1;
    previewURLForImage(receivedMessage,currentThreadID,
BASE_URL,data,count,remainingDataIndices,j);
  }
},

And we store the results as rssResults which are used in MessageListItems to fetch the data and render. The nested calling of previewURLForImage() ends when we have the required count of results or we have finished trying all links for previewing images. We then dispatch the message to the message store. We now improvise the UI. I used Material UI Cards to display the results and for the carousel like display, react-slick.

<Card className={cardClass} key={i} onClick={() => {
  window.open(tile.link,'_blank')
}}>
  {tile.image &&
    (
      <CardMedia>
        <img src={tile.image} alt="" className='card-img'/>
      </CardMedia>
    )
  }
  <CardTitle title={tile.title} titleStyle={titleStyle}/>
  <CardText>
    <div className='card-text'>{cardText}</div>
    <div className='card-url'>{urlDomain(tile.link)}</div>
  </CardText>
</Card>

We used the full width of the message section to display the results by not wrapping the result in message-list-item class. The entire card is hyperlinked to the link. Along with title and description, the URL info is also shown at the bottom right. To get the domain name from the link, urlDomain() function is used which makes use of the HTML anchor tag to get the domain info.

function urlDomain(data) {
  var a = document.createElement('a');
  a.href = data;
  return a.hostname;
}

To prevent stretching of images we use `object-fit: contain;` to make the images fit the image container and align it to the middle.

We finally have our RSS results with images and an improvised UI. The complete code can be found at SUSI WebChat Repo. Feel free to contribute

Resources
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Implementing Text To Speech Settings in SUSI WebChat

SUSI Web Chat has Text to Speech (TTS) Feature where it gives voice replies for user queries. The Text to Speech functionality was added using Speech Synthesis Feature of the Web Speech API. The Text to Speech Settings were added to customise the speech output by controlling features like :

  1. Language
  2. Rate
  3. Pitch

Let us visit SUSI Web Chat and try it out.

First, ensure that the settings have SpeechOutput or SpeechOutputAlways enabled. Then click on the Mic button and ask a query. SUSI responds to your query with a voice reply.

To control the Speech Output, visit Text To Speech Settings in the /settings route.

First, let us look at the language settings. The drop down list for Language is populated when the app is initialised. speechSynthesis.onvoiceschanged function is triggered when the app loads initially. There we call speechSynthesis.getVoices() to get the voice list of all the languages currently supported by that particular browser. We store this in MessageStore using ActionTypes.INIT_TTS_VOICES action type.

window.speechSynthesis.onvoiceschanged = function () {
  if (!MessageStore.getTTSInitStatus()) {
    var speechSynthesisVoices = speechSynthesis.getVoices();
    Actions.getTTSLangText(speechSynthesisVoices);
    Actions.initialiseTTSVoices(speechSynthesisVoices);
  }
};

We also get the translated text for every language present in the voice list for the text – `This is an example of speech synthesis` using google translate API. This is called initially for all the languages and is stored as translatedText attribute in the voice list for each element. This is later used when the user wants to listen to an example of speech output for a selected language, rate and pitch.

https://translate.googleapis.com/translate_a/single?client=gtx&sl=en-US&tl=TARGET_LANGUAGE_CODE&dt=t&q=TEXT_TO_BE_TRANSLATED

When the user visits the Text To Speech Settings, then the voice list stored in the MessageStore is retrieved and the drop down menu for Language is populated. The default language is fetched from UserPreferencesStore and the default language is accordingly highlighted in the dropdown. The list is parsed and populated as a drop down using populateVoiceList() function.

let voiceMenu = voices.map((voice,index) => {
  if(voice.translatedText === null){
    voice.translatedText = this.speechSynthesisExample;
  }
  langCodes.push(voice.lang);
  return(
    <MenuItem value={voice.lang}
              key={index}
              primaryText={voice.name+' ('+voice.lang+')'} />
  );
});

The language selected using this dropdown is only used as the language for the speech output when the server doesn’t specify the language in its response and the browser language is undefined. We then create sliders using Material UI for adjusting speech rate and pitch.

<h4 style={{'marginBottom':'0px'}}><Translate text="Speech Rate"/></h4>
<Slider
  min={0.5}
  max={2}
  value={this.state.rate}
  onChange={this.handleRate} />

The range for the sliders is :

  • Rate : 0.5 – 2
  • Pitch : 0 – 2

The default value for both rate and pitch is 1. We create a controlled slider saving the values in state and using onChange function to record change in values. The Reset buttons can be used to reset the rate and pitch values respectively to their default values. Once the language, rate and pitch values have been selected we can click on `Play a short demonstration of speech synthesis`  to listen to a voice reply with the chosen settings.

{ this.state.playExample &&
  (
    <VoicePlayer
       play={this.state.play}
       text={voiceOutput.voiceText}
       rate={this.state.rate}
       pitch={this.state.pitch}
       lang={this.state.ttsLanguage}
       onStart={this.onStart}
       onEnd={this.onEnd}
    />
  )
}

We use the VoicePlayer by passing the required props to get the speech output. onStart and onEnd functions are triggered at the beginning and ending of the speech synthesis and are used to control the state from the parent component. Chosen language, rate, pitch and translated text are passed as props to VoicePlayer which creates a new SpeechSynthesisUtterance() with the passed props and plays the speech output.

On saving these settings and then using the Mic button to get voice replies we see that the voice output is controlled according to the selected settings.

Finally, we have to store the selected settings on the server and ensure that these are pulled when the app is initialized. The format in which these settings are stored in the server is :

Speech Rate

- Used to control rate of speech output.
- SETTING_NAME :  `speechRate`
- SETTING_VALUE : `0.5 - 2`
- DEFAULT_VALUE : `1`
 
Speech Pitch

- Used to control pitch of speech output.
- SETTING_NAME :  `speechPitch`
- SETTING_VALUE : `0 - 2`
- DEFAULT_VALUE : `1`
 
TTS Language

- Used to set the language for Text-To-Speech used when the response from server doesnt specify language and the browser language is also undefined.
- SETTING_NAME :  `ttsLanguage`
- SETTING_VALUE : `Language Code (string)`
- DEFAULT_VALUE : `en-US`

This is how the Text To Speech Settings were implemented in SUSI Web Chat. The complete code can be found at SUSI Web Chat Repository.

PS: To test whether your browser supports Text To Speech, open your browser console and try the following :

  • var msg = new SpeechSynthesisUtterance(‘Hello World’);
  • window.speechSynthesis.speak(msg)

If you get a speech output then the Web API Speech Synthesis is supported by your browser and Text To Speech features of SUSI Web Chat will work. The Web Speech API has support for all latest Chrome browsers as mentioned in the Web Speech API Mozilla docs.However there are few bugs with some Chromium versions please check out more on how to fix them locally here in this link.

Resources:

 

 

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Implementing Notifications in Open Event Server

In FOSSASIA’s Open Event Server project, along with emails, almost all actions have necessary user notifications as well. So, when a new session is created or a session is accepted by the event organisers, along with the email, a user notification is also sent. Though showing the user notification is mainly implemented in the frontend site but the content to be shown and on which action to show is strictly decided by the server project.

A notification essentially helps an user to get the necessary information while staying in the platform itself and not needing to go to check his/her email for every action he performs. So unlike email which acts as a backup for the informations, notification is more of an instant thing.

The API

The Notifications API is mostly like all other JSON API endpoints in the open event project. However in Notifications API we do not allow any to send a POST request. The admin of the server is able to send a GET a request to view all the notifications that are there in the system while a user can only view his/her notification. As of PATCH we allow only the user to edit his/her notification to mark it as read or not read. Following is the schema for the API:

class NotificationSchema(Schema):
    """
    API Schema for Notification Model
    """

    class Meta:
        """
        Meta class for Notification API schema
        """
        type_ = 'notification'
        self_view = 'v1.notification_detail'
        self_view_kwargs = {'id': '<id>'}
        self_view_many = 'v1.microlocation_list_post'
        inflect = dasherize

    id = fields.Str(dump_only=True)
    title = fields.Str(allow_none=True, dump_only=True)
    message = fields.Str(allow_none=True, dump_only=True)
    received_at = fields.DateTime(dump_only=True)
    accept = fields.Str(allow_none=True, dump_only=True)
    is_read = fields.Boolean()
    user = Relationship(attribute='user',
                        self_view='v1.notification_user',
                        self_view_kwargs={'id': '<id>'},
                        related_view='v1.user_detail',
                        related_view_kwargs={'notification_id': '<id>'},
                        schema='UserSchema',
                        type_='user'
                        )


The main things that are shown in the notification from the frontend are the
title and message. The title is the text that is shown without expanding the entire notification that gives an overview about the message in case you don’t want to read the entire message. The message however provides the entire detail that is associated with the action performed. The user relationship stores which user the particular notification is related with. It is a one-to-one relationship where one notification can only belong to one user. However one user can have multiple notifications. Another important attribute is the is_read attribute. This is the only attribute that is allowed to be changed. By default, when we make an entry in the database, is_read is set to FALSE. Once an user has read the notification, a request is sent from the frontend to change is_read to TRUE.

The different actions for which we send notification are stored in the models/notification.py file as global variables.

USER_CHANGE_EMAIL = "User email"'
NEW_SESSION = 'New Session Proposal'
PASSWORD_CHANGE = 'Change Password'
EVENT_ROLE = 'Event Role Invitation'
TICKET_PURCHASED = 'Ticket(s) Purchased'
TICKET_PURCHASED_ATTENDEE = 'Ticket(s) purchased to Attendee    '
EVENT_EXPORTED = 'Event Exported'
EVENT_EXPORT_FAIL = 'Event Export Failed'
EVENT_IMPORTED = 'Event Imported'

HTML Templates

The notification title and message that is stored in the database and later served via the Notification API is created using some string formatting HTML templates. We firstly import all the global variables that represent the various actions from the notification model. Then we declare a global dict type variable named NOTIFS which stores all title and messages to be stored in the notification table.

NEW_SESSION: {
        'title': u'New session proposal for {event_name}',
        'message': u"""The event <strong>{event_name}</strong> has received
             a new session proposal.<br><br>
            <a href='{link}' class='btn btn-info btn-sm'>View Session</a>""",
        'recipient': 'Organizer',
    },


This is an example of the contents stored inside the dict. For every action, there is a dict with attributes
title, message and recipient. Title contains the brief overview of the entire notification whereas message contains a more vivid description with proper links. Recipient contains the one who receives the notification. So for example in the above code snippet, it is a notification for a new session created. The notification goes to the organizer. The title and message contains named placeholders which are later replaced by particular values using python’s .format() function.

Notification Helper

Notification helper module contains two main parts :-

  1. A parent function which saves the notification to the table related to the user to whom the notification belongs.
  2. Individual notification helper functions that are used by the APIs to save notification after various actions are performed.

Parent Function

def send_notification(user, action, title, message):
    if not current_app.config['TESTING']:
        notification = Notification(user_id=user.id,
                                    title=title,
                                    message=message,
                                    action=action
                                    )
        save_to_db(notification, msg="Notification saved")
        record_activity('notification_event', user=user, action=action, title=title)


send_notification
() is the parent function which takes as parameters user, action, title and message and stores them in the notification table in the database. The user is the one to whom the notification belongs to, action represents the particular action in an API which triggered the notification. Title and message are the contents that are shown in the frontend in the form of a notification. The frontend can implement it as a dropdown notification like facebook or a desktop notification like gitter or whatsapp. After the notification is saved we also update the activity table with the action that a notification has been saved for a user with the following action and title. Later, the Notification API mentioned in the very beginning of the blog uses this data that is being stored now and serves it as a JSON response.

Individual Functions

Apart from this, we have individual functions that uses the parent function to store notifications particular to a particular actions. For example, we have a send_notif_new_session_organizer() function which is used to save notification for all the organizers of an event that a new session has been added to their particular event. This function is called when a POST request is made in the Sessions API and the data is saved successfully. The function is executed for all the organizers of the event for which the session has been created.

def send_notif_new_session_organizer(user, event_name, link):
    message_settings = MessageSettings.query.filter_by(action=NEW_SESSION).first()
    if not message_settings or message_settings.notification_status == 1:
        notif = NOTIFS[NEW_SESSION]
        action = NEW_SESSION
        title = notif['title'].format(event_name=event_name)
        message = notif['message'].format(event_name=event_name, link=link)

        send_notification(user, action, title, message)


In the above function, we take in 3 parameters, user, event_name and link. The value of the user parameter is used to link the notification to that particular user. Event_name and link are used in the title and message of the notification that is saved in the database. Firstly in the function we check if there is certain message setting which tells that the user doesn’t want to receive notifications related to new sessions being created. If not, we proceed. We get the title and message strings from the NOTIFS dict from the system_notification.py file.

After that, using string formatting we get the actual message. For example,

u'New session proposal for {event_name}'.format(‘FOSSASIA’)

would give us a resulting string of the form:

u'New session proposal for FOSSASIA'

After this, we use this variables and send them as parameters to the send_notification() parent function to save the notification properly.

 

Reference:

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Implement Email in Open Event Server

In FOSSASIA’s Open Event Server project, we send out emails when various different actions are performed using the API. For example, when a new user is created, he/she receives an email welcoming him to the server as well as an email verification email. Users get role invites from event organisers in the form of emails, when someone buys a ticket he/she gets a PDF link to the ticket as email. So as you can understand all the important informations that are necessary to be notified to the user are sent as an email to the user and sometimes to the organizer as well.

In FOSSASIA, we use sendgrid’s API or an SMTP server depending on the admin settings for sending emails. You can read more about how we use sendgrid’s API to send emails in FOSSASIA here. Now let’s dive into the modules that we have for sending the emails. The three main parts in the entire email sending are:

  1. Model – Storing the Various Actions
  2. Templates – Storing the HTML templates for the emails
  3. Email Functions – Individual functions for various different actions

Let’s go through each of these modules one by one.

Model

USER_REGISTER = 'User Registration'
USER_CONFIRM = 'User Confirmation'
USER_CHANGE_EMAIL = "User email"
INVITE_PAPERS = 'Invitation For Papers'
NEXT_EVENT = 'Next Event'
NEW_SESSION = 'New Session Proposal'
PASSWORD_RESET = 'Reset Password'
PASSWORD_CHANGE = 'Change Password'
EVENT_ROLE = 'Event Role Invitation'
SESSION_ACCEPT_REJECT = 'Session Accept or Reject'
SESSION_SCHEDULE = 'Session Schedule Change'
EVENT_PUBLISH = 'Event Published'
AFTER_EVENT = 'After Event'
USER_REGISTER_WITH_PASSWORD = 'User Registration during Payment'
TICKET_PURCHASED = 'Ticket(s) Purchased'


In the Model file, named as
mail.py, we firstly declare the various different actions for which we send the emails out. These actions are globally used as the keys in the other modules of the email sending service. Here, we define global variables with the name of the action as strings in them. These are all constant variables, which means that there value remains throughout and never changes. For example, USER_REGISTER has the value ‘User Registration’, which essentially means that anything related to the USER_REGISTER key is executed when the User Registration action occurs. Or in other words, whenever an user registers into the system by signing up or creating a new user through the API, he/she receives the corresponding emails.
Apart from this, we have the model class which defines a table in the database. We use this model class to store the actions performed while sending emails in the database. So we store the action, the time at which the email was sent, the recipient and the sender. That way we have a record about all the emails that were sent out via our server.

class Mail(db.Model):
    __tablename__ = 'mails'
    id = db.Column(db.Integer, primary_key=True)
    recipient = db.Column(db.String)
    time = db.Column(db.DateTime(timezone=True))
    action = db.Column(db.String)
    subject = db.Column(db.String)
    message = db.Column(db.String)

    def __init__(self, recipient=None, time=None, action=None, subject=None,
                 message=None):
        self.recipient = recipient
        self.time = time
        if self.time is None:
            self.time = datetime.now(pytz.utc)
        self.action = action
        self.subject = subject
        self.message = message

    def __repr__(self):
        return '<Mail %r to %r>' % (self.id, self.recipient)

    def __str__(self):
        return unicode(self).encode('utf-8')

    def __unicode__(self):
        return 'Mail %r by %r' % (self.id, self.recipient,)


The table name in which all the information is stored is named as mails. It stores the recipient, the time at which the email is sent (timezone aware), the action which initiated the email sending, the subject of the email and the entire html body of the email. In case a datetime value is sent, we use that, else we use the current time in the time field.

HTML Templates

We store the html templates in the form of key value pairs in a file called system_mails.py inside the helpers module of the API. Inside the system_mails, we have a global dict variable named MAILS as shown below.

MAILS = {
    EVENT_PUBLISH: {
        'recipient': 'Organizer, Speaker',
        'subject': u'{event_name} is Live',
        'message': (
            u"Hi {email}<br/>" +
            u"Event, {event_name}, is up and running and ready for action. Go ahead and check it out." +
            u"<br/> Visit this link to view it: {link}"
        )
    },
    INVITE_PAPERS: {
        'recipient': 'Speaker',
        'subject': u'Invitation to Submit Papers for {event_name}',
        'message': (
            u"Hi {email}<br/>" +
            u"You are invited to submit papers for event: {event_name}" +
            u"<br/> Visit this link to fill up details: {link}"
        )
    },
    SESSION_ACCEPT_REJECT: {
        'recipient': 'Speaker',
        'subject': u'Session {session_name} has been {acceptance}',
        'message': (
            u"Hi {email},<br/>" +
            u"The session <strong>{session_name}</strong> has been <strong>{acceptance}</strong> by the organizer. " +
            u"<br/> Visit this link to view the session: {link}"
        )
    },
    SESSION_SCHEDULE: {
        'recipient': 'Organizer, Speaker',
        'subject': u'Schedule for Session {session_name} has been changed',
        'message': (
            u"Hi {email},<br/>" +
            u"The schedule for session <strong>{session_name}</strong> has been changed. " +
            u"<br/> Visit this link to view the session: {link}"
        )
    },


Inside the MAILS dict, we have key-value pairs, where in keys we use the global variables from the Model to define the action related to the email template. In the value, we again have 3 different key-value pairs – recipient, subject and message. The recipient defines the group who should receive this email, the subject goes into the subject part of the email while message forms the body for the email. For subject and message we use unicode strings with named placeholders that are used later for formatting using python’s
.format() function.

Email Functions

This is the most important part of the entire email sending system since this is the place where the entire email sending functionality is implemented using the above two modules. We have all these functions inside a single file namely mail.py inside the helpers module of the API. Firstly, we import two things in this file – The global dict variable MAILS defined in the template file above, and the various global action variables defined in the model. There is one main module which is used by every other individual modules for sending the emails defined as send_email(to, action, subject, html). This function takes as parameters the email to which the email is to be sent, the subject string, the html body string along with the action to store it in the database.

Firstly we ensure that the email address for the recipient is present and isn’t an empty string. After we have ensured this, we retrieve the email service as set in the admin settings. It can either be “smtp” or “sendgrid”. The email address for the sender has different formatting depending on the email service we are using. While sendgrid uses just the email say for example “medomag20@gmail.com”, smtp uses a format  a little different like this: Medozonuo Suohu<medomag20@gmail.com>. So we set that as well in the email_from variable.

def send_email(to, action, subject, html):
    """
    Sends email and records it in DB
    """
    if not string_empty(to):
        email_service = get_settings()['email_service']
        email_from_name = get_settings()['email_from_name']
        if email_service == 'smtp':
            email_from = email_from_name + '<' + get_settings()['email_from'] + '>'
        else:
            email_from = get_settings()['email_from']
        payload = {
            'to': to,
            'from': email_from,
            'subject': subject,
            'html': html
        }

        if not current_app.config['TESTING']:
            if email_service == 'smtp':
                smtp_encryption = get_settings()['smtp_encryption']
                if smtp_encryption == 'tls':
                    smtp_encryption = 'required'
                elif smtp_encryption == 'ssl':
                    smtp_encryption = 'ssl'
                elif smtp_encryption == 'tls_optional':
                    smtp_encryption = 'optional'
                else:
                    smtp_encryption = 'none'

                config = {
                    'host': get_settings()['smtp_host'],
                    'username': get_settings()['smtp_username'],
                    'password': get_settings()['smtp_password'],
                    'encryption': smtp_encryption,
                    'port': get_settings()['smtp_port'],
                }

                from tasks import send_mail_via_smtp_task
                send_mail_via_smtp_task.delay(config, payload)


After this we create the payload containing the email address for the recipient, the email address of the sender, the subject of the email and the html body of the email.
For unittesting and any other testing we avoid email sending since that is really not required in the flow. So we check that the current app is not configured to run in a testing environment. After that we have two different implementation depending on the email service used.

SMTP

There are 3 kind of possible encryptions for the email that can be used with smtp server – tls, ssl and optional. We determine this based on the admin settings again. Also, from the admin settings we collect the host, username, password and port for the smtp server.

After this we start a celery task for sending the email. Since email sending to a number of clients can be time consuming so we do it using the celery queueing service without disturbing the main workflow of the entire system.

@celery.task(name='send.email.post.smtp')
def send_mail_via_smtp_task(config, payload):
    mailer_config = {
        'transport': {
            'use': 'smtp',
            'host': config['host'],
            'username': config['username'],
            'password': config['password'],
            'tls': config['encryption'],
            'port': config['port']
        }
    }

    mailer = Mailer(mailer_config)
    mailer.start()
    message = Message(author=payload['from'], to=payload['to'])
    message.subject = payload['subject']
    message.plain = strip_tags(payload['html'])
    message.rich = payload['html']
    mailer.send(message)
    mailer.stop()

Inside the celery task, we use the Mailer and Message classes from the marrow module of python. We configure the Mailer according to the various settings received from the admin and then use the payload to send the email.

Sendgrid

For sending email using the sendgrid API, we need to set the Bearer key which is used for authenticating the email service. This key is also defined in the admin settings. After we have set the Bearer key as the authorization header, we again initiate the celery task corresponding to the sendgrid email sending service.

@celery.task(name='send.email.post')
def send_email_task(payload, headers):
    requests.post(
        "https://api.sendgrid.com/api/mail.send.json",
        data=payload,
        headers=headers
    )


For sending the email service, all we need to do is make a POST request to the api endpoint “
https://api.sendgrid.com/api/mail.send.json” with the headers which contains the Bearer Key and the data which contains the payload containing all the information related to the recipient, sender, subject of email and the body of the email.

Apart from these, this module implements all the individual functions that are called based on the various functions that occur. For example, let’s look into the email sending function in case a new session is created.

def send_email_new_session(email, event_name, link):
    """email for new session"""
    send_email(
        to=email,
        action=NEW_SESSION,
        subject=MAILS[NEW_SESSION]['subject'].format(
            event_name=event_name
        ),
        html=MAILS[NEW_SESSION]['message'].format(
            email=email,
            event_name=event_name,
            link=link
        )
    )


This function is called inside the Sessions API, for every speaker of the session as well as for every organizer of the event to which the session is submitted. Inside this function, we use the
send_email().  But firstly we need to create the subject of the email and the message body of the email using the templates and by replacing placeholders by actual value using python formatting. MAILS[NEW_SESSION] returns a unicode string: u’New session proposal for {event_name}’ . So what we do is use the .format() function to replace {event_name} by the actual event_name received as parameter. So it is equivalent to doing something like:

u'New session proposal for {event_name}'.format(‘FOSSASIA’)

which would give us a resulting string of the form:

u'New session proposal for FOSSASIA'

Similarly, we create the html message body using the templates and the parameters received. After this is done, we make a function call to send_email()  which then sends the final email.

References:

Continue ReadingImplement Email in Open Event Server

Implementation of Set Different Language for Query in SUSI Android

SUSI.AI has many skills. Some of which are displaying web search of a certain query, provide a list of relevant information of a topic, displaying a map of the certain position and simple text message of any query. Previously SUSI.AI reply all query in English language but now one important feature is added in SUSI.AI and that feature is, reply query of the user in the language that user wants. But to get the reply in different language user has to send language code of that language along with query to SUSI Server. In this blog post, I will show you how it is implemented in SUSI Android app.

Different language supported in SUSI Android

Currently, different languages added in option in SUSI Android and their language code are:

Language Language Code
English en
German de
Spanish es
French fr
Italian it
Default Default language of the device.

Layout design

I added an option for choosing the different language in settings. When the user clicks on Language option a dialog box pops up. I used listpreference to show the list of different languages.

<ListPreference

  android:title=“@string/Language”

  android:key=“Lang_Select”

  android:entries=“@array/languagentries”

  android:entryValues=“@array/languagentry”>

</ListPreference>

“title” is used to show the title of setting, “entries” is used to show the list of entry to the user and “entryValue” is the value corresponding to each entry. I used listpreference because it has own UI so we don‘t have to develop our own UI for it and also it stores the string into the SharedPreferences so we don’t need to manage the values in SharedPreference. SharedPreference needed to set value in Language in settings so that once user close app and again open it setting will show same value otherwise it will show default value. We used an array of string to show the list of languages.

<string-array name=“languagentries”>

  <item>Default</item>

  <item>English</item>

  <item>German</item>

  <item>Spanish</item>

  <item>French</item>

  <item>Italian</item>

</string-array>

SetLanguage implementation

To set language user must choose Language option in setting.

On clicking Language option a dialog box pop up with the list of different languages. When the user chooses a language then we save corresponding language code in preference with key “prefLanguage” so that we can use it later to send it to the server along with the query. It also uses to send language to the server to store user language on the server, so that user can use the same language in the different client.

querylanguage.setOnPreferenceChangeListener { _, newValue ->

  PrefManager.putString(Constant.LANGUAGE, newValue.toString())

  if(!settingsPresenter.getAnonymity()) {

      settingsPresenter.sendSetting(Constant.LANGUAGE, newValue.toString(), 1)

  }

}

newValue.toString() is the value i.e language code of corresponding language.

Now when we query anything from SUSI.AI we send language code along with query to the server. Default language is default language of the device. Before sending language to the server we check language is default language or any specific language.

val language = if (PrefManager.getString(Constant.LANGUAGE, Constant.DEFAULT).equals(Constant.DEFAULT))

Locale.getDefault().language

else PrefManager.getString(Constant.LANGUAGE, Constant.DEFAULT)

And after that, we send the corresponding language along with query to the server.

clientBuilder.susiApi.getSusiResponse(timezoneOffset, longitude, latitude, source, language, query)

Reference

Continue ReadingImplementation of Set Different Language for Query in SUSI Android

Using Vector Images in SUSI Android

Android designed to run across many devices with different screen sizes and display resolutions. One of the things that confuse many new Android developers is how to support multiple screen sizes. For making  SUSI Android app more user-friendly and interactive we used a lot of images in the form of drawable resources. Most of these drawables are in the form of PNG (Portable Network Graphic) and to support multiple screen size we have to include separate images of varied dimensions because we can’t scale PNG images without losing quality.

Other disadvantages of using PNG images are

  • PNG images take large disk space.
  • PNG images have fixed colour and dimensions which cannot be changed.

To overcome these shortcomings of PNG image we decided to use vector images in SUSI Android.

Advantages of using vector image are

  • It is smaller in size as compared to PNG i.e it takes less disk space than PNG.
  • It can be scaled without losing quality. So we need to include only a single image for all screen size.

Disadvantages of using vector image are

  • Reconstruction of vector data may take considerably longer than that contained in a bitmap file of equivalent complexity because each image element must be drawn individually and in sequence.
  • Vector image can’t be used to display complex photographs.
  • If the object consists of a large number of small elements then file size grow very fast.

Vector produce smaller size file than bitmap only for simple stuff. When it comes to creating a photographic quality vector where colour information is paramount and may vary on a pixel-by-pixel basis, the file can be much larger than its bitmap version, that’s why vector image is only suitable for small images like logo designs, icons etc.

In this blog post, I will show you how we used vector images in SUSI Android.

How to create vector image using Asset Studio tool

Asset Studio is inbuilt Android Studio tool which we use to create a vector image from default material icon or local SVG images. To use vector asset in Android Studio

  • Go to File> New > Vector Asset
  • Vector Asset Studio Tool Window is prompted

  • Create vector image from default material icon or local SVG image.

Asset Studio will add icon in drawable. It can be used anywhere in the project.

Vector images in SUSI Android

In SUSI Android all drawable images like search, mic, arrow, check etc are vector images,  even the logo of the app is a vector image.

This vector image is the result of code you can find here.

Now I will describe some special attributes used here

  • fillColor: It defines the colour of the image. So the colour of your image depends on the colour you provide in fillColor. We used white color(#ffffff) as fillColor that’s why the image is white in colour.
  • strokeColour: It defines the colour of boundary of the image.
  • pathData: Shape of your image depends on pathData. Different commands used in pathData are
  1. M: It is used to define the starting point. For example, M10,10 means starting     Coordinate of the image will be (10,10). M used for absolute position and m   for relative position.
  2. L: L means to draw a line from the current position to given position. For example, M10,10 L20,20 means a straight line will be drawn from coordinate (10,10) to coordinate (20,20. L Use for absolute position and l for relative position.
  3. C: C means to draw an arc. For example, Cx1,x2 x3,x4 x5,x6 means draw a curve  (cubic Bezier curve) from coordinate  (x1,x2) using (x3,x4) as control point at the beginning and (x5,x6) as control point at the end.
  4. Z: Z means to close the path using the straight line between the current position and starting position.

    Example

Let’s consider a curve

M9,16.17L4.83,12l-1.42,1.41L9,19 21,7l-1.41,-1.41z

It starts from point (9,16.17). From (9,16.17) to (4.83,12) a straight line will be drawn. Now again a straight will be drawn from point (4.83,12) to the relative point (-1.42,1.41). After that from point (-1.42, 1.41) it will draw a polyline like an upward arrow(^) with the end point at (21,7). Again it will draw a straight line between point (21,7) and relative point (-1.41, -1.41). At the last z will close curve using the straight line between current point and starting point).

Resources

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How to Receive Carousels from SUSI Skype Bot

A good UI primarily focuses on attracting large numbers of users and any good UI designer aims to achieve user satisfaction with a user-friendly design. In this blog, we will learn how to show carousels SUSI Skype bot to make UI better and easy to use. We can show web search result from SUSI in form of text responses in Skype bot but it doesn’t follow design rule as it is not a good approach to show more text in constricted space. Users seem such a layout as less attractive. In SUSI webchat, RSS type response is returned as carousels and is viewable as:

We can implement RSS type response with code given below

for (var i = 0; i < metadata.count; i++) {
        msg = "";
        msg = text to be sent here;
        session.say(msg, msg);
}

If we implement RSS response using this code then we get a very constricted response because of more text. You can see it in the screenshot below:


To make RSS type response better we will implement carousels. Carousels are actually horizontal tiles to show rich content. We will use this code:

          
for (var i = 0; i < 4; i++) {               
    msg = "text here";               
    title  = "title here";               
    cards[i] = new builder.HeroCard(session)                   
         .title(title)
         .text(msg)           
}           
var reply = new builder.Message(session)
.attachmentLayout(builder.AttachmentLayout.carousel)                                        .attachments(cards);           
session.send(reply);

In above code, we are using a hero card which is a rich card containing title and message which are then attached as an attachment to the message. After implementing carousels for RSS response it looks like this

Resources

Bot Builder SDK documentation: https://docs.botframework.com/en-us/node/builder/chat-reference/modules/_botbuilder_d_.html
Rich Card examples: https://github.com/Microsoft/BotBuilder-Samples/blob/master/Node/cards-RichCards/app.js

Continue ReadingHow to Receive Carousels from SUSI Skype Bot

How to Debug SUSI Bots Deployment on Google Container Engine Using Kubernetes

You can learn how to deploy SUSI bots on to Google container engine using Kubernetes from this tutorial. In this blog, we will learn how to debug SUSI bots deployment to keep them running continuously. Whenever we create a deployment on Google container using Kubernetes a pod is created in which our deployment keeps running. Whenever we deploy bots to any platform to check if it is working right or not we refer to logs of that bot. To get logs first we will get pod for our deployment with this

kubectl get pods --namespace={your-namespace-of-deployment-here}

This will show us the pod for our deployment like this

Copy the name of this pod and enter this command to get logs

kubectl get logs {your-pod-here} --namespace={your-namespace-of-deployment-here}

This will show us the logs of our deployment. In Google cloud console you will not get running logs. You will get logs of the everything that has happened before you requested for logs. Now if there is some error in logs and you need to restart the deployment but in Kubernetes you can not restart your pod directly but to restart pod we will need to enter the following command

kubectl replace --force -f {path-to-your-deployment-config-file}

If everything goes well you will get to see the following with your deployment name in it


After deployment, if you want to see the services and deployment in detail follow the approach given below

To get services write this command

kubectl get service --namespace={your-namespace-of-deployment-here}

When you will get service it will look like

If you don’t get your external IP then check your service config file and after fixing it make a new deployment after deleting previous one.

To check deployment in detail write following command

kubectl describe deployments --namespace={your-namespace-of-deployment-here}

This will show us details about deployment like this

You can now easily solve issues with deployments now.

Resources

Debugging Kubernetes service locally using telepresence: https://www.telepresence.io/tutorials/kubernetes.html
Debug Services: https://kubernetes.io/docs/tasks/debug-application-cluster/debug-service/
Troubleshooting Kuberetes: https://access.redhat.com/documentation/en-us/red_hat_enterprise_linux_atomic_host/7/html/getting_started_with_kubernetes/troubleshooting_kubernetes

 

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Shift from Java to Kotlin in SUSI Android

Previously SUSI Android was written in JAVA. But recently Google announced that it will officially support Kotlin on Android as a first class language so we decided to shift from Java to Kotlin. Kotlin runs on Java Virtual Machine and hence we can use Kotlin for Android app development. Kotlin is new programming language developed by JetBrains, which also developed IntelliJ-the IDE that Android Studio is based on. So Android Studio has excellent support for Kotlin.

Advantages of Kotlin over Java

  • Kotlin is a null safe language. It changes all the instances used in the code to non nullable type thus it ensures that the developers don’t get any nullPointerException.
  • Good Android Studio support. Kotlin tool is included with Android Studio 3.0 by default. But for Android Studio 2.x we need to install the required plugin for Kotlin.
  • Kotlin also provides support for Lambda function and other high order functions.
  • One of Kotlin’s greatest strengths as a potential alternative to Java is interoperability between Java and Kotlin. You can even have Java and Kotlin code existing side by side in the same project.
  • Kotlin provides the way to declare Extension function similar to that of C# and Gosu. We can use this function in the same way as we use the member functions of our class.

After seeing the above points it is now clear that Kotlin is much more effective than Java. In this blog post, I will show you how ForgotPasswordActivity is shifted from JAVA to Kotlin in SUSI Android.

How to install Kotlin plugin in Android Studio 2.x

We are using Android Studio 2.3.0 in our android project. To use Kotlin in Android Studio 2.x we need to install Kotlin plugin.

Steps to include Kotlin plugin in Android Studio 2.x are:

  • Go to File
  • After that select Settings
  • Then select Plugin Option from the left sidebar.
  • After that click on Browse repositories.
  • Search for Kotlin and install it.

Once it is installed successfully, restart Android Studio. Now configure Kotlin in Android Studio.

Shift  SUSI Android from JAVA to Kotlin

Kotlin is compatible with JAVA. Thus it allows us to change the code bit by bit instead of all at once. In SUSI Android app we implemented MVP architecture with Kotlin. We converted the code by one activity each time from JAVA to Kotlin. I converted the ForgotPassword of SUSI Android from JAVA to Kotlin with MVP architecture. I will discuss only shifting of SUSI Android from JAVA to Kotlin and not about MVP architecture implementation.

First thing is how to extend parent class. In JAVA we need to use extend keyword

public class ForgotPasswordActivity extends AppCompatActivity

but in Kotlin parent class is extended like

class ForgotPasswordActivity : AppCompatActivity ()

Second is no need to bind view in Kotlin. In JAVA we bind view using Butter Knife.

@BindView(R.id.forgot_email)

protected TextInputLayout email;

and

email.setError(getString(R.string.email_invalid_title));

but in Kotlin we can directly use view using id.

forgot_email.error = getString(R.string.email_invalid_title)

Another important thing is that instead of using setError and getError we can use only error for both purposes.

forgot_email.error

It can be used to get error in TextInputLayout ‘forgot_email’ and

forgot_email.error = getString(R.string.email_invalid_title)

can be use to set error in TextInputLayout ‘forgot_email’.

Third one is in Kotlin we don’t need to define variable type always

val notSuccessAlertboxHelper = AlertboxHelper(this@ForgotPasswordActivity, title, message, null, null, button, null, color)

but in JAVA we need to define it always.

AlertboxHelper notSuccessAlertboxHelper = new AlertboxHelper(ForgotPasswordActivity.this, title, message, null, null, positiveButtonText, null, colour);

And one of the most important feature of Kotlin null safety. So you don’t need to worry about NullPointerException. In java we need to check for null otherwise our app crash

if (url.getEditText() == null)

      throw new IllegalArgumentException(“No Edittext hosted!”);

But in Kotlin there is no need to check for null. You need to use ’?’ and Kotlin will handle it itself.  

input_url.editText?.text.toString()

You can find the previous ForgotPasswordActivity here. You can compare it with new ForgotPaswordActivity.

Reference

Continue ReadingShift from Java to Kotlin in SUSI Android

Burst Camera Mode in Phimpme Android

Camera is an integral part of core feature in Phimpme Android. Various features were added in the camera part such as resolution, timer, shutter sound, white balance etc. Click burst shot from camera is also an important feature to be added. Burst shot is clicking multiple pictures in one go.

Adding a Burst mode in Phimpme Camera

  • Adding burst mode enable entry in options

The popup view in Camera is added programmatically in app. Setting up the values from sharedpreferences. It takes the value and set burst mode off, 1x, 2x etc. according to value.

final String[] burst_mode_values = getResources().getStringArray(R.array.preference_burst_mode_values);
  String[] burst_mode_entries = getResources().getStringArray(R.array.preference_burst_mode_entries);
String burst_mode_value = sharedPreferences.getString(PreferenceKeys.getBurstModePreferenceKey(), "1");

Two methods created for setting up the previous and next values. To set up the previous value we need to check the current value to be not equal to -1 and greater that zero. Upgrade or downgrade the value of burst mode, according to the click.

public int onClickPrev() {
         if( burst_mode_index != -1 && burst_mode_index > 0 ) {
            burst_mode_index--;
            update(); ...
}

public int onClickNext() {
            if( burst_mode_index != -1 && burst_mode_index < burst_mode_values.length-1 ) {
              burst_mode_index++;
            update();...
}
  • Saving the value in sharedpreferences

So on clicking the previous and next, the value of burst mode value will be updated. As shown in the above code snippet, after every increment and decrement the values set on view and called update method to update the value in the sharedpreference as shown below.

private void update() {
        String new_burst_mode_value = burst_mode_values[burst_mode_index];
        SharedPreferences sharedPreferences = PreferenceManager.getDefaultSharedPreferences(main_activity);
SharedPreferences.Editor editor = sharedPreferences.edit();
editor.putString(PreferenceKeys.getBurstModePreferenceKey(), new_burst_mode_value);
editor.apply();}

  • Taking multiple Images

Now in the implementation part, we need to continuously click the image according to the burst value set by the user. So to enable this, first check the value not to be negative and should be greater than zero. Whole iteration work on separate variable named remaining burst photos. The value of the variable decrease after every image click i.e. takePhoto method calls.

if( remaining_burst_photos == -1 || remaining_burst_photos > 0 ) {
  if( remaining_burst_photos > 0 )
     remaining_burst_photos--;
  long timer_delay = applicationInterface.getRepeatIntervalPref();
  if( timer_delay == 0 ) {
     phase = PHASE_TAKING_PHOTO;
     takePhoto(true);
  }
  else {
     takePictureOnTimer(timer_delay, true);
  }
}

Resources:

 

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