Declarative Advanced WAF policy lifecycle in a CI/CD pipeline
The purpose of this article is to show the configuration used to deploy a declarative Advanced WAF policy to a BIG-IP and automatically configure it to protect an API workload by consuming an OpenAPI file describing the application. For this experiment, a Gitlab CI/CD pipeline was used to deploy an API workload to Kubernetes, configure a declarative Adv. WAF policy to a BIG-IP device and tuning it by incorporating learning suggestions exported from the BIG-IP. Lastly, the F5 WAF tester tool was used to determine and improve the defensive posture of the Adv. WAF policy. Deploying the declarative Advanced WAF policy through a CI/CD pipeline To deploy the Adv. WAF policy, the Gitlab CI/CD pipeline is calling an Ansible playbook that will in turn deploy an AS3 application referencing the Adv.WAF policy from a separate JSON file. This allows the application definition and WAF policy to be managed by 2 different groups, for example NetOps and SecOps, supporting separation of duties. The following Ansible playbook was used; --- - hosts: bigip connection: local gather_facts: false vars: my_admin: "xxxx" my_password: "xxxx" bigip: "xxxx" tasks: - name: Deploy AS3 API AWAF policy uri: url: "https://{{ bigip }}/mgmt/shared/appsvcs/declare" method: POST headers: "Content-Type": "application/json" "Authorization": "Basic xxxxxxxxxx body: "{{ lookup('file','as3_waf_openapi.json') }}" body_format: json validate_certs: no status_code: 200 The Advanced WAF policy 'as3_waf_openapi.json' was specified as follows: { "class": "AS3", "action": "deploy", "persist": true, "declaration": { "class": "ADC", "schemaVersion": "3.2.0", "id": "Prod_API_AS3", "API-Prod": { "class": "Tenant", "defaultRouteDomain": 0, "arcadia": { "class": "Application", "template": "generic", "VS_API": { "class": "Service_HTTPS", "remark": "Accepts HTTPS/TLS connections on port 443", "virtualAddresses": ["xxxxx"], "redirect80": false, "pool": "pool_NGINX_API", "policyWAF": { "use": "Arcadia_WAF_API_policy" }, "securityLogProfiles": [{ "bigip": "/Common/Log all requests" }], "profileTCP": { "egress": "wan", "ingress": { "use": "TCP_Profile" } }, "profileHTTP": { "use": "custom_http_profile" }, "serverTLS": { "bigip": "/Common/arcadia_client_ssl" } }, "Arcadia_WAF_API_policy": { "class": "WAF_Policy", "url": "http://xxxx/root/awaf_openapi/-/raw/master/WAF/ansible/bigip/policy-api.json", "ignoreChanges": true }, "pool_NGINX_API": { "class": "Pool", "monitors": ["http"], "members": [{ "servicePort": 8080, "serverAddresses": ["xxxx"] }] }, "custom_http_profile": { "class": "HTTP_Profile", "xForwardedFor": true }, "TCP_Profile": { "class": "TCP_Profile", "idleTimeout": 60 } } } } } The AS3 declaration will provision a separate Administrative Partition ('API-Prod') containing a Virtual Server ('VS_API'), an Adv. WAF policy ('Arcadia_WAF_API_policy') and a pool ('pool_NGINX_API'). The Adv.WAF policy being referenced ('policy-api.json') is stored in the same Gitlab repository but can be downloaded from a separate location. { "policy": { "name": "policy-api-arcadia", "description": "Arcadia API", "template": { "name": "POLICY_TEMPLATE_API_SECURITY" }, "enforcementMode": "transparent", "server-technologies": [ { "serverTechnologyName": "MySQL" }, { "serverTechnologyName": "Unix/Linux" }, { "serverTechnologyName": "MongoDB" } ], "signature-settings": { "signatureStaging": false }, "policy-builder": { "learnOnlyFromNonBotTraffic": false }, "open-api-files": [ { "link": "http://xxxx/root/awaf_openapi/-/raw/master/App/openapi3-arcadia.yaml" } ] }, "modifications": [ ] } The declarative Adv.WAF policy is referencing in turn the OpenAPI file ('openapi3-arcadia.yaml') that describes the application being protected. Executing the Ansible playbook results in the AS3 application being deployed, along with the Adv.WAF policy that is automatically configured according to the OpenAPI file. Handling learning suggestions in a CI/CD pipeline The next step in the CI/CD pipeline used for this experiment was to send legitimate traffic using the API and collect the learning suggestions generated by the Adv.WAF policy, which will allow a simple way to customize the WAF policy further for the specific application being protected. The following Ansible playbook was used to retrieve the learning suggestions: --- - hosts: bigip connection: local gather_facts: true vars: my_admin: "xxxx" my_password: "xxxx" bigip: "xxxxx" tasks: - name: Get all Policy_key/IDs for WAF policies uri: url: 'https://{{ bigip }}/mgmt/tm/asm/policies?$select=name,id' method: GET headers: "Authorization": "Basic xxxxxxxxxxx" validate_certs: no status_code: 200 return_content: yes register: waf_policies - name: Extract Policy_key/ID of Arcadia_WAF_API_policy set_fact: Arcadia_WAF_API_policy_ID="{{ item.id }}" loop: "{{ (waf_policies.content|from_json)['items'] }}" when: item.name == "Arcadia_WAF_API_policy" - name: Export learning suggestions uri: url: "https://{{ bigip }}/mgmt/tm/asm/tasks/export-suggestions" method: POST headers: "Content-Type": "application/json" "Authorization": "Basic xxxxxxxxxxx" body: "{ \"inline\": \"true\", \"policyReference\": { \"link\": \"https://{{ bigip }}/mgmt/tm/asm/policies/{{ Arcadia_WAF_API_policy_ID }}/\" } }" body_format: json validate_certs: no status_code: - 200 - 201 - 202 - name: Get learning suggestions uri: url: "https://{{ bigip }}/mgmt/tm/asm/tasks/export-suggestions" method: GET headers: "Authorization": "Basic xxxxxxxxx" validate_certs: no status_code: 200 register: result - name: Print learning suggestions debug: var=result A sample learning suggestions output is shown below: "json": { "items": [ { "endTime": "xxxxxxxxxxxxx", "id": "ZQDaRVecGeqHwAW1LDzZTQ", "inline": true, "kind": "tm:asm:tasks:export-suggestions:export-suggestions-taskstate", "lastUpdateMicros": 1599953296000000.0, "result": { "suggestions": [ { "action": "add-or-update", "description": "Enable Evasion Technique", "entity": { "description": "Directory traversals" }, "entityChanges": { "enabled": true }, "entityType": "evasion" }, { "action": "add-or-update", "description": "Enable HTTP Check", "entity": { "description": "Check maximum number of parameters" }, "entityChanges": { "enabled": true }, "entityType": "http-protocol" }, { "action": "add-or-update", "description": "Enable HTTP Check", "entity": { "description": "No Host header in HTTP/1.1 request" }, "entityChanges": { "enabled": true }, "entityType": "http-protocol" }, { "action": "add-or-update", "description": "Enable enforcement of policy violation", "entity": { "name": "VIOL_REQUEST_MAX_LENGTH" }, "entityChanges": { "alarm": true, "block": true }, "entityType": "violation" } Incorporating the learning suggestions in the Adv.WAF policy can be done by simple copy&pasting the self-contained learning suggestions blocks into the "modifications" list of the Adv.WAF policy: { "policy": { "name": "policy-api-arcadia", "description": "Arcadia API", "template": { "name": "POLICY_TEMPLATE_API_SECURITY" }, "enforcementMode": "transparent", "server-technologies": [ { "serverTechnologyName": "MySQL" }, { "serverTechnologyName": "Unix/Linux" }, { "serverTechnologyName": "MongoDB" } ], "signature-settings": { "signatureStaging": false }, "policy-builder": { "learnOnlyFromNonBotTraffic": false }, "open-api-files": [ { "link": "http://xxxxxx/root/awaf_openapi/-/raw/master/App/openapi3-arcadia.yaml" } ] }, "modifications": [ { "action": "add-or-update", "description": "Enable Evasion Technique", "entity": { "description": "Directory traversals" }, "entityChanges": { "enabled": true }, "entityType": "evasion" } ] } Enhancing Advanced WAF policy posture by using the F5 WAF tester The F5 WAF tester is a tool that generates known attacks and checks the response of the WAF policy. For example, running the F5 WAF tester against a policy that has a "transparent" enforcement mode will cause the tests to fail as the attacks will not be blocked. The F5 WAF tester can suggest possible enhancement of the policy, in this case the change of the enforcement mode. An abbreviated sample output of the F5 WAF Tester: ................................................................ "100000023": { "CVE": "", "attack_type": "Server Side Request Forgery", "name": "SSRF attempt (AWS Metadata Server)", "results": { "parameter": { "expected_result": { "type": "signature", "value": "200018040" }, "pass": false, "reason": "ASM Policy is not in blocking mode", "support_id": "" } }, "system": "All systems" }, "100000024": { "CVE": "", "attack_type": "Server Side Request Forgery", "name": "SSRF attempt - Local network IP range 10.x.x.x", "results": { "request": { "expected_result": { "type": "signature", "value": "200020201" }, "pass": false, "reason": "ASM Policy is not in blocking mode", "support_id": "" } }, "system": "All systems" } }, "summary": { "fail": 48, "pass": 0 } Changing the enforcement mode from "transparent" to "blocking" can easily be done by editing the same Adv. WAF policy file: { "policy": { "name": "policy-api-arcadia", "description": "Arcadia API", "template": { "name": "POLICY_TEMPLATE_API_SECURITY" }, "enforcementMode": "blocking", "server-technologies": [ { "serverTechnologyName": "MySQL" }, { "serverTechnologyName": "Unix/Linux" }, { "serverTechnologyName": "MongoDB" } ], "signature-settings": { "signatureStaging": false }, "policy-builder": { "learnOnlyFromNonBotTraffic": false }, "open-api-files": [ { "link": "http://xxxxx/root/awaf_openapi/-/raw/master/App/openapi3-arcadia.yaml" } ] }, "modifications": [ { "action": "add-or-update", "description": "Enable Evasion Technique", "entity": { "description": "Directory traversals" }, "entityChanges": { "enabled": true }, "entityType": "evasion" } ] } A successful run will will be achieved when all the attacks will be blocked. ......................................... "100000023": { "CVE": "", "attack_type": "Server Side Request Forgery", "name": "SSRF attempt (AWS Metadata Server)", "results": { "parameter": { "expected_result": { "type": "signature", "value": "200018040" }, "pass": true, "reason": "", "support_id": "17540898289451273964" } }, "system": "All systems" }, "100000024": { "CVE": "", "attack_type": "Server Side Request Forgery", "name": "SSRF attempt - Local network IP range 10.x.x.x", "results": { "request": { "expected_result": { "type": "signature", "value": "200020201" }, "pass": true, "reason": "", "support_id": "17540898289451274344" } }, "system": "All systems" } }, "summary": { "fail": 0, "pass": 48 } Conclusion By adding the Advanced WAF policy into a CI/CD pipeline, the WAF policy can be integrated in the lifecycle of the application it is protecting, allowing for continuous testing and improvement of the security posture before it is deployed to production. The flexible model of AS3 and declarative Advanced WAF allows the separation of roles and responsibilities between NetOps and SecOps, while providing an easy way for tuning the policy to the specifics of the application being protected. Links UDF lab environment link. Short instructional video link.
Block IP Addresses With Data Group And Log Requests On ASM Event Log
Problem this snippet solves: This is Irule which will block IP Addresses that are not allowed in your organization. instead of adding each IP Address in Security ›› Application Security : IP Addresses : IP Address Exceptions you can create a data group and use a simple IRULE to block hundreds of Addressess. Also,createing a unique signature to specify the request of the illigile IP Address. First, You will need to create Data Group under Local Traffic ›› iRules : Data Group List and add your illigile IP Addresses to the list. If you have hundreds of IP's that you want to block, you can to it in TMSH using this command: TMSH/modify ltm data-group internal <Data-Group-Name> { records add {IP-ADDRESS} } Now, We are ready to create the IRULE under Local Traffic ›› iRules : iRule List Last, Create violation list under Security ›› Options : Application Security : Advanced Configuration : Violations List Create -> Name:Illegal_IP_Address -> Type:Access Violation -> Severity:Critical -> Update Don't forgat to enable trigger ASM IRULE events with "Normal Mode" How to use this snippet: Code : when HTTP_REQUEST { set reqBlock 0 if { [class match [IP::remote_addr] equals ] } { set reqBlock 1 # log local0. "HTTP_REQUEST [IP::client_addr]" } } when ASM_REQUEST_DONE { if { $reqBlock == 1} { ASM::raise "Illegal_IP_Address" # log local0. "ASM_REQUEST_DONE [IP::client_addr]" } } Tested this on version: 13.0
How to config BGP peering for F5 in HA-pair?
Hi I've setup F5 BGP peering with router and have problem due to we can't use floating IP as IP BGP neighbor address https://support.f5.com/csp/article/K62454350 . So we need to use self IP as IP BGP neighbor address. Problem is It's make router can't decide which path is correct when they send response traffic to F5. F5 active unit or standby unit. Router can't know status on F5. I try to add prepend on BGP which is standby unit and it's fine. but when standby unit takeover . it's failed again. Is there a way to deploy BGP with F5 HA-pair? Thank you
F5 and Cisco ACI Essentials - Design guide for a Single Pod APIC cluster
Deployment considerations It is usually an easy decision to have BIG-IP as part of your ACI deployment as BIG-IP is a mature feature rich ADC solution. Where time is spent is nailing down the design and the deployment options for the BIG-IP in the environment. Below we will discuss a few of the most commonly asked questions: SNAT or no SNAT There are various options you can use to insert the BIG-IP into the ACI environment. One way is to use the BIG-IP as a gateway for servers or as a routing next hop for routing instances. Another option is to use Source Network Address Translation (SNAT) on the BIG-IP, however with enabling SNAT the visibility into the real source IP address is lost. If preserving the source IP is a requirement then ACI's Policy-Based Redirect (PBR) can be used to make sure the return traffic goes back to the BIG-IP. BIG-IP redundancy F5 BIG-IP can be deployed in different high-availability modes. The two common BIG-IP deployment modes: active-active and active-standby. Various design considerations, such as endpoint movement during fail-overs, MAC masquerade, source MAC-based forwarding, Link Layer Discovery Protocol (LLDP), and IP aging should also be taken into account for each of the deployment modes. Multi-tenancy Multi-tenancy is supported by both Cisco ACI and F5 BIG-IP in different ways. There are a few ways that multi-tenancy constructs on ACI can be mapped to multi-tenancy on BIG-IP. The constructs revolve around tenants, virtual routing and forwarding (VRF), route domains, and partitions. Multi-tenancy can also be based on the BIG-IP form factor (appliance, virtual edition and/or virtual clustered multiprocessor (vCMP)). Tighter integration Once a design option is selected there are questions around what more can be done from an operational or automation perspective now that we have a BIG-IP and ACI deployment? The F5 ACI ServiceCenter is an application developed on the Cisco ACI App Center platform built for exactly that purpose. It is an integration point between the F5 BIG-IP and Cisco ACI. The application provides an APIC administrator a unified way to manage both L2-L3 and L4-L7 infrastructure. Once day-0 activities are performed and BIG-IP is deployed within the ACI fabric using any of the design options selected for your environment, then the F5 ACI ServiceCenter can be used to handle day-1 and day-2 operations. The day-1 and day-2 operations provided by the application are well suited for both new/greenfield and existing/brownfield deployments of BIG-IP and ACI deployments. The integration is loosely coupled, which allows the F5 ACI ServiceCenter to be installed or uninstalled with no disruption to traffic flow, as well as no effect on the F5 BIG-IP and Cisco ACI configuration. Check here to find out more. All of the above topics and more are discussed in detail here in the single pod white paper.F5 & Cisco ACI Essentials - Dynamic pool sizing using the F5 ACI ServiceCenter
APIC EndPoints and EndPoint Groups When dealing with the Cisco ACI environment you may have wondered about using an Application-Centric Design or a Network-Centric Design. Regardless of the strategy, the ultimate goal is to have an accessible and secure application/workload in the ACI environment. An application is comprised of several servers; each one performing a function for the application (web server, DB server, app server etc.). Each of these servers may be physical or virtual and are treated as endpoints on the ACI fabric. Endpoints are devices connected to the network directly or indirectly. They have an address, attributes and can be physical or virtual. Endpoint examples include servers, virtual machines, network-attached storage, or clients on the Internet. An EPG (EndPoint Group) is an object that contains a collection of endpoints, which can be added to an EPG either dynamically or statically. Take a look at the relationship between different objects on the APIC. Click here for more details. Relationship between Endpoints and Pool members If an application is being served by web servers with IPs having address's in the range 192.168.56.*, for example, then these IP addresses will be presented as an endpoint in an endpoint group (EPG) on the APIC. From the perspective of BIG-IP, these web servers are pool members of a particular pool. The F5 ACI ServiceCenter is an application developed on the Cisco ACI App Center platform designed to run on the APIC controller. It has access to both APIC and BIG-IP and can correlate existing information from both devices to provide a mapping as follows: BIG-IP | APIC ________________________________________________________________________ VIP: Pool: Pool Member(s): Route Domain (RD) |Tenant: Application Profile: End Point group: Virtual Routing and Forwarding (VRF) This gives an administrator a view of how the APIC workload is associated with the BIG-IP and what all applications and virtual IP's are tied to a tenant. Click here for more details on this visibility dashboard and learn more on how and under what situations the dashboard can be helpful. In this article we are going to see how the F5 ACI ServiceCenter can take advantage of the endpoints learned by the ACI fabric to dynamically grow/shrink pool members. Dynamic EndPoint Attach and Detach Let's think back to our application which is say being hosted on 100's of servers, these servers could be added to an APIC EPG statically by a network admin or they could be added dynamically through a vCenter or openstack APIC integration. In either case, these endpoints ALSO need to be added to the BIG-IP where the endpoints can be protected by malicious attacks and/or load-balanced. This can be a very tedious task for a APIC or a BIG-IP administrator. Using the dynamic EndPoint attach and detach feature on the F5 ACI ServiceCenter, this burden can be reduced. The application has the ability to adjust the pool members on the BIG-IP based on the server farm on the APIC. On APIC when an endpoint is attached, it is learned by the fabric and added to a particular tenant, application profile and EPG on the APIC. The F5 ACI ServiceCenter provides the capability to map an EPG on the APIC to a pool on the BIG-IP. The application relies on the attach/detach notifications from the APIC to add/delete the BIG-IP pool-members. There are different ways in which the dynamic mapping can be leveraged using the F5 ACI ServiceCenter based on the L4-L7 configuration: Scenario 1: Declare L4-L7 configuration using F5 ACI ServiceCenter Scenario 2: L4-L7 configuration already exists on the BIG-IP Scenario 3: Use dynamic mapping but do not declare the L4-L7 configuration using the F5 ACI ServiceCenter Scenario 4: Use the F5 ACI ServiceCenter API's to define the mapping along with the L4-L7 configuration Let's take a look at each one of them in detail. Scenario 1: Declare L4-L7 configuration using F5 ACI ServiceCenter Let's assume there is no existing configuration on the BIG-IP, a new application needs to be deployed which is front ended by a VIP/Pool/Pool members. The F5 ACI ServiceCenter provides a UI that can be used to deploy the L4-L7 configuration and create a mapping between Pool <-> EPG. There are two options: Basic mode uses FAST andAdvanced mode uses AS3. Basic mode: Leverage dynamic endpoint attach and detach feature by using the pre-built Service-Discovery template Advanced mode: Leverage dynamic endpoint attach and detach feature by using Manage Endpoint Mappings Scenario 2: L4-L7 configuration already exists on the BIG-IP If L4-L7 configuration using AS3 already exists on the BIG-IP, the F5 ACI ServiceCenter will detect all partitions and application that in compatible with AS3. Configuration for a particular partition/application on BIG-IP can then be updated to create a Pool <-> EPG mapping. However, there is one condition that is the pool can either have static or dynamic members. Thus, if the pool already has existing members, those members will have to be deleted before a dynamic mapping can be created. To maintain the dynamic mapping, any future changes to the L4-L7 configuration on the BIG-IP should be done via the F5 ACI ServiceCenter. Scenario 3: Use dynamic mapping but do not declare the L4-L7 configuration using the F5 ACI ServiceCenter The F5 ACI ServiceCenter can be used just for the dynamic mapping and pool sizing and not for defining the L4-L7 configuration. For this method, the entire AS3 declaration along with the mapping will be directly send to the BIG-IP using AS3. Since the declaration is AS3, the F5 ACI ServiceCenter will automatically detect a Pool <-> EPG mapping which can be viewable from the inventory tab. Step 1: AS3 declaration with Pool <-> EPG mapping posted directly to the BIG-IP (see below for a sample declaration) Step 2: Sync Endpoints Step 3: View Endpoints Scenario 4: Use the F5 ACI ServiceCenter API's to define the mapping along with the L4-L7 configuration Finally, if the UI is not appealing and automation all the way is the goal, then the F5 ACI ServiceCenter has an API call where the mapping as well as the L4-L7 configuration (which was done in Scenario 1) can be completely automated: URI: https://<apic_controller_ip>>/appcenter/F5Networks/F5ACIServiceCenter/updateas3data.json In this scenario, the declaration is being passed to the F5 ACI ServiceCenter through the APIC controller and NOT directly to the BIG-IP. A sample API call Summary Having knowledge on how AS3 works is essential since it is a declarative API, and using it incorrectly can result in incorrect configuration. Any method mentioned above would work, and the decision on which method to use is based on the operational model that works the best in your environment. References Unify Visibility with F5 ACI ServiceCenter in Cisco ACI and F5 BIG-IP Deployments Download F5 ACI ServiceCenter F5 ACI ServiceCenter API documentation F5 AS3 - What does it means -imperative vs declarative F5 AS3 Best Practice Cisco ACI Fabric Endpoint Learning White PaperiCall Script that only runs on Active member
Problem this snippet solves: I had a request to run an iCall script only on the active member in a pair. How to use this snippet: This won't work if you're using active/active via traffic-groups. Code : # Only execute if local BIG-IP is active in failover if {[exec cat /var/prompt/ps1] == "Active"} { tmsh::log "I LIKE SOUP!" } Tested this on version: 12.1
Failing over of a Virtual F5 configuration to another location using Zerto restore process
We are preparing a process for disaster recovery to use Zerto to copy a server had has our virtual F5 configuration to another server at another facility. What needs to be completed by means of moving license keys and changing MAC to recognize the F5 configuration.
iRule stats formatter
Problem this snippet solves: When you have a load of iRule stats in text format from your F5 device and need to get them into a nicer format. The following Python 3 script takes in a text file in the following format: ------------------------------------------------------------------------------------------------------ Ltm::Rule Event: /web_testing/test_environment_rule:HTTP_RESPONSE ------------------------------------------------------------------------------------------------------ Priority 12 Executions Total 31686860 Failures 0 Aborts 0 CPU Cycles on Executing Average 404058 Maximum 10703959 Minimum 264201 (raw) ------------------------------------------------------------------------------------------------------ Ltm::Rule Event: /web_testing/test_environment_rule:HTTP_REQUEST ------------------------------------------------------------------------------------------------------ Priority 899 Executions Total 31686860 Failures 0 Aborts 0 CPU Cycles on Executing Average 404058 Maximum 10703959 Minimum 264201 Put through the following python script to output a CSV file for further data manipulation. How to use this snippet: Python3 script, to use run the following (can also add in '--o' to define an output file, if not will replace the file extension '.txt' with '.csv' by default): python statformating.py --i my_irule_stats.txt output will be something like Openning 'my_irule_stats.txt' Saving output csv to 'my_irule_stats.csv' Usage/help output: usage: statformating.py [-h] [--i INPUT] [--o OUTPUT] optional arguments: -h, --help show this help message and exit --i INPUT iRule Stats File input file name --o OUTPUT iRule Stats File output csv file name Code : import re import os import argparse def iruleStatsFormat(inputFile, outputFile): print('Openning \'{}\''.format(inputFile)) iruleStats = open(inputFile, 'rt').read() iruleStats = re.sub(r'[ ]{2,}', ' ', iruleStats) iruleStats = re.sub(r'\n\s\(raw\)\s{1,}', '', iruleStats) iruleStats = re.sub(r'[-]{2,}\n', '', iruleStats) iruleStats = re.sub(r'\n ', r'\n', iruleStats) iruleStats = re.sub(r'CPU Cycles on Executing\n', '', iruleStats) iruleStats = re.sub(r'Executions \n', '', iruleStats) iruleStats = re.sub(r'\nPriority (\d{1,})\nTotal (\d{1,})\nFailures (\d{1,})\nAborts (\d{1,})\nAverage (\d{1,})\nMaximum (\d{1,})\nMinimum (\d{1,})', r'\t\1\t\2\t\3\t\4\t\5\t\6\t\7', iruleStats) iruleStats = re.sub(r'Ltm::Rule Event: /(.*?)/(.*?):(.*?\t)', r'\1\t\2\t\3', iruleStats) iruleStats = re.sub(r'Ltm::Rule Event: (.*?):(.*?\t)', r'Common\t\1\t\2', iruleStats) iruleStats = re.sub(r'\n{2,}', r'\n', iruleStats) iruleStats = re.sub(r'\t', r',', iruleStats) print('Saving output csv to \'{}\''.format(outputFile)) with open(outputFile, 'wt') as f: print(iruleStats, file=f) if __name__=='__main__': parser = argparse.ArgumentParser() parser.add_argument("--i", dest='input', help="iRule Stats File input file name", type=str) parser.add_argument("--o", dest='output', help="iRule Stats File output csv file name", type=str, default="") args = parser.parse_args() if args.input and os.path.isfile(args.input): if not args.output: args.output = args.input[:-3] + 'csv' iruleStatsFormat(args.input, args.output) else: parser.print_help()
