updat 05_github

05_github.py

@@ -1,36 +1,20 @@
 #!/usr/bin/env python
 
-import json # to parse JSON
-import requests # to make HTTP requests
-import argparse # to parse command-line arguments
+import requests
 import time
 
-if __name__ == "__main__":
-    url_1 = "https://api.github.com/emaadmanzoor"
-    r = requests.get(url_1)
-    print(r.status_code)
-    print(r.json())
-
-    url_2 = "https://api.github.com/users/emaadmanzoor"
-    r = requests.get(url_2)
-    print(r.status_code)
-
-    for key, value in r.json().items():
-        print(key, value)
-
-    print(r.headers)
-
-    reset_time = r.headers["x-ratelimit-reset"]
-    print("Rate limit resets at:", reset_time)
-
-    remaining = r.headers["x-ratelimit-remaining"]
-    print("API calls remaining:", remaining)
-
-    current_time = time.time()
-    reset_time = int(reset_time) # the API gives you a string, not an integer
-    remaining_time = reset_time - current_time
-    print("Remaining time (seconds)",
-            remaining_time)
-
-    print("Sleeping until reset...")
-    time.sleep(remaining_time)
+url_1= "https://api.github.com/emaadmanzoor"
+rounds = 0
+
+while rounds < 10:
+  r = requests.get(url_1)
+  stacode = r.status_code
+  if stacode == 403:
+  	print("the status code is", r.status_code)
+  	break
+  else:
+  	rounds = rounds + 1
+  	print ("Tried", rounds, "rounds and the status code is", stacode) 
+
+time.sleep(1) 
+print ("This is an invalid URL which return status code 404 after 10-round trial")

challengelab02.py

@@ -0,0 +1,53 @@
+import boto3
+
+# Creating the low level functional client
+client = boto3.client(
+    's3',
+    aws_access_key_id = "AKIAUN6JRXCTE5ZDYPW6",
+    aws_secret_access_key = "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",
+    region_name = 'us-west-1'
+)
+
+# Creating the high level object oriented interface
+resource = boto3.resource(
+    's3',
+    aws_access_key_id = "AKIAUN6JRXCTE5ZDYPW6",
+    aws_secret_access_key = "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",
+    region_name = 'us-west-1'
+)
+
+# Fetch the list of existing buckets
+clientResponse = client.list_buckets()
+
+# Print the bucket names one by one
+print('Printing bucket names...')
+for bucket in clientResponse['Buckets']:
+    print(f'Bucket Name: {bucket["Name"]}')
+
+
+# Creating a bucket in AWS S3
+location = {'LocationConstraint': 'us-west-1'}
+client.create_bucket(
+    Bucket = 'challengea-lab02-1',
+    CreateBucketConfiguration=location
+)
+
+# Create the S3 object
+obj = client.get_object(
+    Bucket = 'challengea-lab02-2',
+    Key = 'challengea-lab02-FangshuoLiu.csv'
+)
+
+# Read data from the S3 object
+data = pandas.read_csv(obj['Body'])
+
+# Print the data frame
+print('Printing the data frame...')
+print(data)
+
+s3 = boto3.resources("s3")
+s3.Bucket("challengea-lab02-1").upload_file("/home/gb760/Lab02/hhh.txt","hhh.txt")
+
+
+
+