How to use update_patch_baseline method in localstack

Best Python code snippet using localstack_python

__init__.py

Source:__init__.py Github

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...95 print("%s" %e)96 97def UpdateLinuxBaseline(ssm, BaselineID, group, product, severity, classification, rejectpatches):98 try:99 Baseline = ssm.update_patch_baseline(100 BaselineId=BaselineID,101 Name=group,102 ApprovalRules={103 'PatchRules': [104 {105 'PatchFilterGroup': {106 'PatchFilters': [107 {108 'Key': 'PRODUCT',109 'Values': product110 },111 {112 'Key': 'CLASSIFICATION',113 'Values': classification114 },115 {116 'Key': 'SEVERITY',117 'Values': severity118 }119 ]120 },121 'ApproveAfterDays': 0,122 'EnableNonSecurity': True123 }124 ]125 },126 ApprovedPatchesEnableNonSecurity=True,127 RejectedPatches=rejectpatches,128 RejectedPatchesAction='BLOCK'129 )130 print("Update %s Baseline %s Successfully!" %(group, BaselineID))131 except:132 print("Update %s Baseline %s Failed!" %(group, BaselineID))133 e=sys.exc_info()[1]134 print("%s" %e)135 136def UpdateWindowsBaseline(ssm, BaselineID, group, product, severity, classification, rejectpatches):137 try:138 Baseline = ssm.update_patch_baseline(139 BaselineId=BaselineID,140 Name=group,141 ApprovalRules={142 'PatchRules': [143 {144 'PatchFilterGroup': {145 'PatchFilters': [146 {147 'Key': 'PRODUCT',148 'Values': product149 },150 {151 'Key': 'CLASSIFICATION',152 'Values': classification...

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lambda_function.py

Source:lambda_function.py Github

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...49 return False50def updated_rejected_patches(client, to_be_modified_baselines, rejected_patches=[]):51 response_list = []52 for each_base_line in to_be_modified_baselines:53 response = client.update_patch_baseline(BaselineId=each_base_line,54 RejectedPatches=rejected_patches)55 response_list.append(response)56 return response_list57def collect_rejected_patches(s3bucket, filename):58 """59 implement logic to read the file from s3 bucket60 :return:61 """62 s3client = boto3.client('s3', region_name='us-east-1')63 file_obj = s3client.get_object(64 Bucket=s3bucket,65 Key=filename66 )67 file_data = file_obj['Body'].read().decode("utf-8")...

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