Carlos Eduardo Cortez Bazan ccortezb
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| cloud_category = url.split('/')[4] |
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| data = requests.get(url) | |
| soup = BeautifulSoup(data.content, 'html.parser') | |
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| news_blogs = [{'news_headline': headline.find('div', | |
| attrs={"class": "blog-title"}).string, | |
| 'news_blog': blog.find('div', | |
| attrs={"class": "preview-text"}).string, | |
| 'cloud_category': cloud_category} | |
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| df = pd.DataFrame(cortezcloud_data) | |
| df = df[['news_headline', 'news_blog', 'cloud_category']] | |
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| ultimos_posts = ingestar_noticias(cortezcloud_urls) | |
| ultimos_posts.head(10) | |
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| (nlp01) ➜ comprehend-01-nlpseries-ep-3 sudo sam deploy --guided | |
| Configuring SAM deploy | |
| ====================== | |
| Looking for samconfig.toml : Found | |
| Reading default arguments : Success | |
| Setting default arguments for 'sam deploy' | |
| ========================================= |
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| curl -X POST \ | |
| https://d5601zkukf.execute-api.ca-central-1.amazonaws.com/Prod/sentiment \ | |
| -H 'cache-control: no-cache' \ | |
| -H 'content-type: application/json' \ | |
| -H 'postman-token: ea059b31-e081-24e6-8911-c179362ee99c' \ | |
| -d '{"body": "{\"Body\":\"estoy de humor bueno\"}"}' |
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| ➜ comprehend-nlp01 brew upgrade aws-sam-cli | |
| Warning: aws/tap/aws-sam-cli 1.13.2 already installed |
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| ➜ comprehend-nlp01 virtualenv -p `which python3.6` nlp01 | |
| created virtual environment CPython3.6.5.final.0-64 in 486ms | |
| creator CPython3Posix(dest=/Users/carlos/repos/cc/nlp/comprehend-nlp01/nlp01, clear=False, global=False) | |
| seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/Users/carlos/Library/Application Support/virtualenv) | |
| added seed packages: pip==20.1.1, setuptools==47.3.1, wheel==0.34.2 | |
| activators BashActivator,CShellActivator,FishActivator,PowerShellActivator,PythonActivator,XonshActivator |
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| import json | |
| import boto3 | |
| #Using boto3 to call the Comprehend API | |
| client = boto3.client('comprehend') | |
| #Lambda function to work with Comprehend | |
| def lambda_handler(event, context): | |
| print("event puro:", event) |