Flask veya Django gibi web framework’\u00fc (iste\u011fe ba\u011fl\u0131)<\/li>\n<\/ul>\nBoto3 ile DynamoDB’ye Ba\u011flanma<\/h2>\n
Boto3, AWS hizmetlerine Python ile eri\u015fmenizi sa\u011flayan bir k\u00fct\u00fcphanedir. DynamoDB ile \u00e7al\u0131\u015fmaya ba\u015flamak i\u00e7in \u00f6nce boto3 k\u00fct\u00fcphanesini kurmal\u0131s\u0131n\u0131z:<\/p>\n
“`bash
\npip install boto3
\n“`<\/p>\n
Ard\u0131ndan, boto3 k\u00fct\u00fcphanesini kullanarak DynamoDB’ye ba\u011flanmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabilirsiniz:<\/p>\n
“`python
\nimport boto3<\/p>\n
# DynamoDB kayna\u011f\u0131na ba\u011flanma
\ndynamodb = boto3.resource(‘dynamodb’)
\n“`<\/p>\n
DynamoDB Tablosu Olu\u015fturma<\/h2>\n
RESTful API’nizi olu\u015fturmadan \u00f6nce, DynamoDB’de bir tablo olu\u015fturman\u0131z gerekir. Bu, API’nizin veri depolayaca\u011f\u0131 yerdir. Boto3’\u00fc kullanarak DynamoDB’ye bir tablo olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabilirsiniz:<\/p>\n
“`python
\n# Tabloyu olu\u015fturma
\ntable = dynamodb.create_table(
\n TableName=’MyTable’,
\n KeySchema=[
\n {
\n ‘AttributeName’: ‘ID’,
\n ‘KeyType’: ‘HASH’
\n }
\n ],
\n AttributeDefinitions=[
\n {
\n ‘AttributeName’: ‘ID’,
\n ‘AttributeType’: ‘S’
\n }
\n ],
\n ProvisionedThroughput={
\n ‘ReadCapacityUnits’: 5,
\n ‘WriteCapacityUnits’: 5
\n }
\n)<\/p>\n
# Tablonun olu\u015fturulmas\u0131n\u0131 bekleyin
\ntable.wait_until_exists()
\n“`<\/p>\n
RESTful API Olu\u015fturma<\/h2>\n
\u015eimdi, RESTful API’nizi olu\u015fturabilirsiniz. Bu \u00f6rnekte, Flask web framework’\u00fc kullanaca\u011f\u0131z. Ancak, Django veya di\u011fer framework’ler de kullanabilirsiniz. Flask kullanarak bir API olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabilirsiniz:<\/p>\n
“`python
\nfrom flask import Flask, request, jsonify<\/p>\n
app = Flask(__name__)<\/p>\n
# DynamoDB’ye ba\u011flanma
\ndynamodb = boto3.resource(‘dynamodb’)
\ntable = dynamodb.Table(‘MyTable’)<\/p>\n
# GET iste\u011fi
\n@app.route(‘\/items\/‘)
\ndef get_item(id):
\n response = table.get_item(Key={‘ID’: id})
\n if ‘Item’ in response:
\n return jsonify(response[‘Item’])
\n else:
\n return jsonify({‘Message’: ‘Item not found’}), 404<\/p>\n# POST iste\u011fi
\n@app.route(‘\/items’, methods=[‘POST’])
\ndef create_item():
\n item = request.get_json()
\n table.put_item(Item=item)
\n return jsonify({‘Message’: ‘Item created successfully’}), 201<\/p>\n
# PUT iste\u011fi
\n@app.route(‘\/items\/‘, methods=[‘PUT’])
\ndef update_item(id):
\n item = request.get_json()
\n table.update_item(
\n Key={‘ID’: id},
\n UpdateExpression=’set #name = :n, #description = :d’,
\n ExpressionAttributeNames={‘#name’: ‘Name’, ‘#description’: ‘Description’},
\n ExpressionAttributeValues={‘:n’: item[‘Name’], ‘:d’: item[‘Description’]}
\n )
\n return jsonify({‘Message’: ‘Item updated successfully’}), 200<\/p>\n# DELETE iste\u011fi
\n@app.route(‘\/items\/‘, methods=[‘DELETE’])
\ndef delete_item(id):
\n table.delete_item(Key={‘ID’: id})
\n return jsonify({‘Message’: ‘Item deleted successfully’}), 200<\/p>\nif __name__ == ‘__main__’:
\n app.run(debug=True)
\n“`<\/p>\n
API’yi Test Etme<\/h2>\n
API’yi olu\u015fturduktan sonra, API’yi test edebilirsiniz. Bunu, Postman veya curl gibi ara\u00e7lar kullanarak yapabilirsiniz. \u00d6rne\u011fin, bir \u00f6\u011fe olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki curl komutunu kullanabilirsiniz:<\/p>\n
“`bash
\ncurl -X POST -H “Content-Type: application\/json” -d ‘{“ID”: “1”, “Name”: “Item 1”, “Description”: “Item 1 description”}’ http:\/\/localhost:5000\/items
\n“`<\/p>\n
Sonu\u00e7<\/h2>\n
Bu makalede, Python kullanarak DynamoDB ile RESTful API’ler olu\u015fturma konusunu ele ald\u0131k. Boto3 k\u00fct\u00fcphanesi ve Flask framework’\u00fc kullanarak, DynamoDB’ye kolayca ba\u011flanabilir ve veri ekleyebilir, g\u00fcncelleyebilir, silebilir ve sorgulayabilirsiniz. RESTful API’ler, uygulamalar aras\u0131nda ileti\u015fim kurmak i\u00e7in g\u00fc\u00e7l\u00fc bir ara\u00e7t\u0131r ve DynamoDB, y\u00fcksek kullan\u0131labilirlik, d\u00fc\u015f\u00fck gecikme s\u00fcresi ve \u00f6l\u00e7eklenebilirlik sa\u011flayan bir hizmettir. Bu iki teknoloji, h\u0131zl\u0131 ve g\u00fcvenilir web uygulamalar\u0131 olu\u015fturmak i\u00e7in m\u00fckemmel bir kombinasyon sa\u011flar.<\/p>\n
#Etiketler<\/h2>\n
Python, RESTful API, DynamoDB, AWS, Boto3, Flask, Web Geli\u015ftirme, NoSQL, Veritaban\u0131<\/p>\n","protected":false},"excerpt":{"rendered":"Python ile DynamoDB i\u00e7in REST API Kurulumu Bu makalede, Python kullanarak Amazon DynamoDB ile RESTful API’ler olu\u015fturma konusunu…","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-3973","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\n
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