avatarAngelica Mendez

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ime.datetime.now()), <span class="hljs-string">'price'</span>: price, <span class="hljs-string">'item'</span>: item, <span class="hljs-string">'discount'</span>: discount }</pre></div><p id="7bae">In our case, the output is:</p><div id="477f"><pre>{ 'date': '<span class="hljs-number">2018-05-13</span> 13:37:21.<span class="hljs-number">414342</span>', 'price': '169.99', 'item': 'Dyson AM08 Bladeless Pedestal Fan | White/Silver | Refurbished', 'discount': '399.99 | 57% off' }</pre></div><h1 id="8e42">Step 2: Saving to S3</h1><p id="f971">To save our result to S3, we use <a href="https://boto3.readthedocs.io/en/latest/index.html">Boto 3</a>, the AWS SDK for Python. First we get a reference to S3. Then we create an <code>object</code> with given <code>bucket</code> and <code>file_name</code>(the bucket was created beforehand though this can be done programmatically). Finally, we convert our data to <code>json</code> and write our <code>data</code> into the object.</p><div id="acf2"><pre><span class="hljs-keyword">import</span> boto3 <span class="hljs-keyword">import</span> json</pre></div><div id="34fd"><pre>def <span class="hljs-built_in">save_file_to_s3</span>(bucket, file_name, data): s3 = boto3.<span class="hljs-built_in">resource</span>(<span class="hljs-string">'s3'</span>) obj = s3.<span class="hljs-built_in">Object</span>(bucket, file_name) obj.<span class="hljs-built_in">put</span>(Body=json.<span class="hljs-built_in">dumps</span>(data))</pre></div><p id="1bfc">We will package this utility function in the handler file where we house the actual function Lambda will call. More on this in the following steps.</p><p id="5919">Incidentally, if saving tabular data as in our example, we might choose a database instead of S3. We illustrate S3 here as it is also a good choice for documents, we are also frequently scraped items.</p><h1 id="dd59">Step 3: The Handler Function</h1><p id="6f6c">A Lambda function needs a <a href="https://docs.aws.amazon.com/lambda/latest/dg/python-programming-model-handler-types.html">handler function</a>, which is the function Lambda will execute when it gets called. We will put the handler function, along with our Python dependencies, in a sub-directory called <code>ebay_deal_scraper</code>. This will allow us to separate the files which will be part of the Lambda package, and ancillary project files such as the Serverless config file discussed in later steps.</p><p id="2abf">We name our handler function <code>scrape</code> and give it the signature required by Lambda. We don’t use the <code>event</code> or <code>context</code> parameters, but if you needed to pass data into your Lambda function, they are what you would use.</p><div id="2ee8"><pre><span class="hljs-title">def</span> scrape(event, context): <span class="hljs-class"><span class="hljs-keyword">data</span> = deal_scrape()</span> file_name = f<span class="hljs-string">"deals-{data['date']}"</span> save_file_to_s3('ebay_daily_deals', file_name, <span class="hljs-class"><span class="hljs-keyword">data</span>)</span></pre></div><p id="c7da">Our handler calls our <code>deal_scrape()</code> function, then writes the returned data to S3 under a file name based on the date.</p><h1 id="6b1f">Step 4: Packaging our Function</h1><p id="8815">Our custom code is ready to go, but Lambda also requires you include your dependencies in the package you upload to AWS. In our case this means <code>pip installing</code> our Python packages locally. In the <code>ebay_deal_scrapper</code> directory, we run:</p><div id="bc42"><pre>pip3 <span class="hljs-keyword">install </span>requests <span class="hljs-keyword">bs4 </span>-t .</pre></div><p id="2ef0">(if you have any problems, see this <a href="https://stackoverflow.com/questions/24257803/distutilsoptionerror-must-supply-either-home-or-prefix-exec-prefix-not-both">Stack Overflow issue</a>)</p><p id="8621">This will install the <code>requests</code> and <code>beatiful soup</code> packages in our directory. Lamdba has<code>boto3</code> pre-installed, so you don’t need to include it.</p><p id="bea3">Incidentally, including dependencies can be quite hairy if you require platform-dependent C/C++ libraries like <a href="https://www.boost.org/">Boost</a>, and may require you to use Docker to bundle everything together under the Amazon Linux OS that Lambda requires. But that’s the topic of another blog post.</p><p id="8188">When you have dependencies, you probably want to use a zip file to package everything up. We give ours the generic name of <code>package.zip</code>:</p><div id="f3ce"><pre><span class="hljs-built_in">zip</span> -r package.<span class="hljs-built_in">zip</span> *</pre></div><h1 id="b305">Step 5: Deploying to Lambda</h1><p id="6f52">We will use the Serverless framework to deploy to AWS. Serverless offers a set of command line tools which make it very easy to deploy to the major serverless cloud providers including AWS. You can install it using <code>npm</code>:</p><p id="8fc7"><code>npm install -g serverless</code></p><p id="110d">You specify Serverless deployment instructions in a file called <code>serverless.yml</code>. If you want to generate a boilerplate file, you can run:</p><div id="4295"><pre>serverless <span class="hljs-built_in">create</span> <span class="hljs-comment">--template aws-python</span></pre></div><p id="d62a">This will also create a boilerplate<code>handler.py</code> file, but all we need there is the function which we specify i

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n the <code>serverless.yml</code> config file under the <code>functions</code> section.</p><div id="7831"><pre><span class="hljs-symbol">service:</span> ebay-deal-scraper <span class="hljs-symbol"> provider:</span> <span class="hljs-symbol"> name:</span> aws <span class="hljs-symbol"> runtime:</span> python3<span class="hljs-number">.6</span> <span class="hljs-symbol"> package:</span> <span class="hljs-symbol"> artifact:</span> ebay_deal_scraper/package.zip <span class="hljs-symbol"> functions:</span> <span class="hljs-symbol"> ebay_scrape:</span> <span class="hljs-symbol"> handler:</span> handler.scrape</pre></div><p id="8b75">The <code>provider</code> section tells Serverless we’re deploying to AWS and that we’re using <code>python 3.6</code>.</p><p id="5fec">The <code>package</code> section is where we specify the zip file we created in the last step.</p><p id="5313">We are ready to deploy!</p><p id="273c">From the top directory of your project run:</p><div id="d1ed"><pre><span class="hljs-attribute">serverless deploy</span></pre></div><p id="c024">If you have multiple AWS profiles (such as work and personal), you can specify a profile:</p><div id="981f"><pre>serverless <span class="hljs-keyword">deploy</span> <span class="hljs-params">--aws-profile</span> profile_i_want_to_use</pre></div><p id="eed1">If all goes well, you should get the following output:</p><div id="4f5e"><pre>➜ ebay<span class="hljs-params">-deals</span><span class="hljs-params">-scrape</span> git:(master) ✗ sd -<span class="hljs-params">-aws</span><span class="hljs-params">-profile</span> michael Serverless: Packaging service<span class="hljs-params">...</span> Serverless: Uploading CloudFormation file <span class="hljs-keyword">to</span> S3<span class="hljs-params">...</span> Serverless: Uploading artifacts<span class="hljs-params">...</span> Serverless: Validating template<span class="hljs-params">...</span> Serverless: Updating <span class="hljs-built_in">Stack</span><span class="hljs-params">...</span> Serverless: Checking <span class="hljs-built_in">Stack</span> update progress<span class="hljs-params">...</span> <span class="hljs-params">...</span><span class="hljs-params">...</span><span class="hljs-params">...</span> Serverless: <span class="hljs-built_in">Stack</span> update finished<span class="hljs-params">...</span> Service Information service: ebay<span class="hljs-params">-deal</span><span class="hljs-params">-scraper</span> stage: dev region: us<span class="hljs-params">-east</span><span class="hljs-number">-1</span> <span class="hljs-built_in">stack</span>: ebay<span class="hljs-params">-deal</span><span class="hljs-params">-scraper</span><span class="hljs-params">-dev</span> api keys: <span class="hljs-literal">None</span> endpoints: <span class="hljs-literal">None</span> functions: ebay_scrape: ebay<span class="hljs-params">-deal</span><span class="hljs-params">-scraper</span><span class="hljs-params">-dev</span><span class="hljs-params">-ebay_scrape</span> Serverless: Removing old service versions<span class="hljs-params">...</span></pre></div><p id="d320">You can now try to invoke your function with:</p><div id="b911"><pre>serverless<span class="hljs-built_in"> invoke </span>-f ebay_scrape <span class="hljs-comment"># --aws_profile profile_name </span></pre></div><p id="4385">This will result in an AccessDenied error. To fix this, you need to add permission to your Lambda function’s role (this gets created together with the function).</p><h1 id="da14">Step 6: Giving Lambda S3 Privileges</h1><p id="b13d">Go to the Roles page in the IAM section of the AWS dashboard. Find the role for your Lambda function, in our case <code>ebay-deal-scraper-dev-us-east-1-lambdaRole</code> and add a policy which allows it to access S3. <code>AmazonS3FullAccess</code> will work for our demo, though in production you may want to create a new policy which is more restrictive.</p><p id="e0d1">Once your function is deployed you should also be able to view and test it from the AWS console.</p><figure id="dc68"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*A1uCWEB2Hb-YS7lMEiXCww.png"><figcaption></figcaption></figure><h1 id="6080">Step 7: Scheduling the Lambda Function Using CloudWatch</h1><p id="8cd3">Final step! Go to the CloudWatch Management Page and click the<code>Rules</code> tab. Under Event Source, select <code>Schedule</code> and fill in a cron expression. We set ours to run every day at 6PM GMT, or afternoon in US Eastern Time. Next, in the <code>Targets</code> section, choose <code>Lambda function</code> in the select and then your Lambda function from the list in the <code>Function</code> select. You’re done!</p><figure id="1595"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*amgaVqAlsAl0pQdYaAP_PA.png"><figcaption></figcaption></figure><p id="eb37">That’s the whirlwind tour of scraping the serverless way. I hope this gives a taste of the technologies involved, though each of them could be the subject of many, many blog posts.</p><p id="f860">As far as scraping goes, with the rise of big data/machine learning, data acquisition is becoming more and more important. And if, for instance, you wanted to do something like feed your machine learning model with data to <a href="https://www.dataquest.io/blog/machine-learning-tutorial/">make price predictions for AirBnB</a>, scraping might be your only option. The serverless architecture exemplified here offers an efficient way to do this.</p></article></body>

How to Make a Relationship Work in 2023.

A letter to the men and women who are looking for real love.

Photo by Michael Fenton on Unsplash

*I will be speaking from the point of view of a heterosexual woman.*

Where’s the line when you get to have both your needs and your partner’s needs met?

How much of yourself do you feel you have to give up to satisfy the person you’re in a relationship with? But what about you?

I asked myself these questions at the start of my relationship — the one I’m currently in.

Having an independent spirit, compromise felt like I was giving up a part of myself — dishonoring who I am and my beliefs.

It wasn’t until about a year and a few months into my relationship that I learned the actual meaning of this — consideration.

When you’re in a relationship, if you want your partner to consider you and what you like, you must also learn to consider their feelings and what they like.

Here’s the kicker, it takes time.

You don’t learn to adapt or accept this overnight — It requires a lot of difficult conversations.

It’s also a lot more nuanced than it sounds.

Some things don’t always need compromise — things you know are extreme and should be stopped instead of appeasing.

To change these things, you need patience, persistence, and sometimes a little attitude and putting your foot down.

I could name a hundred examples — how you dress, if you’re outgoing, talkative, or the complete opposite of these things.

Aspects of your lifestyle or who you are that make your partner uncomfortable, but they don’t cross a line or jeopardize your relationship.

I’m fighting this battle because, unfortunately, men have been conditioned to expect a wife from the 1950s.

In reality, many men are taught to want and expect a submissive, docile, freak in the sheets, lady in the streets, knows how to cook and clean and do all the chores by herself kind of woman.

Think about how these men saw their mothers behave throughout their formative years — it makes sense.

It was a different generation, and circumstances were very different during this time.

The other side of reality is a lot of women don’t want to do these things anymore — circumstances have changed significantly, and now there are other options.

If some women are okay with doing these things, they don’t want to do them alone because they saw their mothers struggle and have struggled themselves — they want and need help.

What I’ve observed and come to the conclusion of is women want to be acknowledged and celebrated for the hard work they do.

They want men to contribute because things are more complex than they used to be, and they know they can’t do it all alone.

They want men to accept and understand that a woman’s purpose can go beyond the household — having children is not the only function women were made for.

They want men to see them as complete and whole human beings capable of making good, rational decisions — they want their partner’s support along the way.

They want men to acknowledge their flaws. To accept they’re not perfect and can make mistakes, too — they want men to be humble.

I’ve been fortunate to see these things take place in my relationship.

It’s taken a lot of work, but I’m happy my partner and I are growing, evolving, and becoming better versions of ourselves.

The progress that we’ve made over the past year and a half makes me very excited for the future.

I have a vision of where we could be, of how far we could go, and as time passes and we get better at understanding each other and working together, my hope for accomplishing this vision increases.

Sadly, most people are not ready to be in a relationship.

We’re not taught the kind of work a healthy and thriving relationship requires.

Our culture’s focus on hyper-independence is now doing more harm than good — not just for romantic relationships.

We focus so much on “being” ourselves and living our best life that we have forgotten what being in a community means.

What contribution means, and more importantly, compromise and consideration.

Without these three things — contribution, compromise, and consideration — it’s impossible to have an equitable relationship.

As the saying goes, anything worthwhile is never easy.

Relationships are not supposed to be easy, either.

It will take time and a lot of failed attempts at relationships to find someone who can practice the three things I mentioned above.

Once you find someone who chooses to contribute to the relationship, consider your feelings, and compromise on things that are important to you, odds are you’ve found someone you could do life with — as long as you practice these three things as well.

Relationships
Relationships Love Dating
Dating
Marriage
Personal Development
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