oafp reference list of examples

Examples of use of oafp avaiable also in https://ojob.io/oafp-examples.yaml.

πŸ“š Contents

Category Sub-category # Description
AI Classification 1 Given a list of news titles with corresponding dates and sources add a category and sub-category field to each
AI Conversation 2 Send multiple requests to an OpenAI model keeping the conversation between interactions and setting the temperature parameter
AI Generate data 3 Generates synthetic data making parallel prompts to a LLM model and then cleaning up the result removing duplicate records into a final csv file.
AI Generate data 4 Generates synthetic data using a LLM model and then uses the recorded conversation to generate more data respecting the provided instructions
AI Groq 5 Calculation
AI Mistral 6 List all available LLM models at mistral.ai
AI Ollama 7 Setting up access to Ollama and ask for data to an AI LLM model
AI OpenAI 8 Setting up the OpenAI LLM model and gather the data into a data.json file
AI Prompt 9 Example of generating data from an AI LLM prompt
AI Scaleway 10 Setting up a Scaleway Generative API LLM connection and ask for a list of all Roman emperors.
AI Summarize 11 Use an AI LLM model to summarize the weather information provided in a JSON format
AI TogetherAI 12 List all available LLM models at together.ai with their corresponding type and price components order by the more expensive, for input and output
APIs NASA 13 Markdown table of near Earth objects by name, magnitude, if is potentially hazardous asteroids and corresponding distance
APIs Network 14 Converting the Cloudflare DNS trace info
APIs Network 15 Converting the Google DNS DoH query result
APIs Network 16 Generating a simple map of the current public IP address
APIs Public Holidays 17 Return the public holidays for a given country on a given year
APIs Space 18 How many people are in space and in which craft currently in space
APIs iTunes 19 Search the Apple's iTunes database for a specific term
AWS DynamoDB 20 Given an AWS DynamoDB table 'my-table' will produce a ndjson output with all table items.
AWS DynamoDB 21 Given an AWS DynamoDB table 'my-users' will produce a colored tree output by getting the item for the email key 'scott.tiger@example.com'
AWS EC2 22 Given all AWS EC2 instances in an account produces a table with name, type, vpc and private ip sorted by vpc
AWS EKS 23 Builds an excel spreadsheet with all persistent volumes associated with an AWS EKS 'XYZ' with the corresponding Kubernetes namespace, pvc and pv names
AWS Lambda 24 Prepares a table of AWS Lambda functions with their corresponding main details
AWS Lambda 25 Prepares a table, for a specific AWS Lambda function during a specific time periods, with number of invocations and minimum, average and maximum duration per periods from AWS CloudWatch
Azure Bing 26 Given an Azure Bing Search API key and a query returns the corresponding search result from Bing.
Channels S3 27 Given a S3 bucket will load data from a previously store data in a provided prefix
Channels S3 28 Given a S3 bucket will save a list of data (the current list of name and versions of OpenAF's oPacks) within a provided prefix
Chart Unix 29 Output a chart with the current Unix load using uptime
DB H2 30 Perform a SQL query over a H2 database.
DB H2 31 Perform queries and DML SQL statements over a H2 databases
DB H2 32 Store the json result of a command into a H2 database table.
DB List 33 List all OpenAF's oPack pre-prepared JDBC drivers
DB Mongo 34 List all records from a specific MongoDB database and collection from a remote Mongo database.
DB SQLite 35 Lists all files in openaf.jar, stores the result in a 'data' table on a SQLite data.db file and performs a query over the stored data.
DB SQLite 36 Perform a query over a database using JDBC.
DB SQLite 37 Store the json result on a SQLite database table.
Diff Envs 38 Given two JSON files with environment variables performs a diff and returns a colored result with the corresponding differences
Diff Lines 39 Performing a diff between two long command lines to spot differences
Diff Path 40 Given two JSON files with the parsed PATH environment variable performs a diff and returns a colored result with the corresponding differences
Docker Containers 41 Output a table with the list of running containers.
Docker Listing 42 List all containers with the docker-compose project, service name, file, id, name, image, creation time, status, networks and ports.
Docker Listing 43 List all containers with their corresponding labels parsed and sorted.
Docker Network 44 Output a table with the docker networks info.
Docker Registry 45 List all a table of docker container images repository and corresponding tags of a private registry.
Docker Registry 46 List all the docker container image repositories of a private registry.
Docker Registry 47 List all the docker container image repository tags of a private registry.
Docker Stats 48 Output a table with the docker stats broken down for each value.
Docker Storage 49 Output a table with the docker volumes info.
ElasticSearch Cluster 50 Get an ElasticSearch/OpenSearch cluster nodes overview
ElasticSearch Cluster 51 Get an ElasticSearch/OpenSearch cluster per host data allocation
ElasticSearch Cluster 52 Get an ElasticSearch/OpenSearch cluster settings flat
ElasticSearch Cluster 53 Get an ElasticSearch/OpenSearch cluster settings non-flatted
ElasticSearch Cluster 54 Get an ElasticSearch/OpenSearch cluster stats per node
ElasticSearch Cluster 55 Get an overview of an ElasticSearch/OpenSearch cluster health
ElasticSearch Indices 56 Get an ElasticSearch/OpenSearch count per index
ElasticSearch Indices 57 Get an ElasticSearch/OpenSearch indices overview
ElasticSearch Indices 58 Get an ElasticSearch/OpenSearch settings for a specific index
GIT History 59 Give a GIT repository will retrieve the current log history and parse it to an Excel (XLS) file.
GPU Nvidia 60 Builds a grid with two charts providing a visualization over a Nvidia GPU usage and the corresponding memory usage for a specific GPU_IDX (gpu index)
GPU Nvidia 61 Get current Nvidia per-gpu usage
Generic Arrays 62 Converting an array of strings into an array of maps
Generic Avro 63 Given an Avro data file outputs it's corresponding statistics
Generic Avro 64 Given an Avro data file outputs the correspoding schema
Generic Avro 65 Reads an Avro data file as input
Generic Avro 66 Write an Avro data file as an output
Generic Base64 67 Encode/decode data (or text-like files) to/from gzip base64 representation for easier packing and transport.
Generic Commands 68 Given an input array with phone numbers will run parallel output commands, calling ojob.io/telco/phoneNumber, for each entry effectively building an output from those multiple command executions.
Generic Excel 69 Building an Excel file with the AWS IPv4 and IPv6 ranges (1).
Generic Excel 70 Building an Excel file with the AWS IPv4 and IPv6 ranges (2).
Generic Excel 71 Building an Excel file with the AWS IPv4 and IPv6 ranges (3).
Generic Excel 72 Processes each json file in /some/data creating and updating the data.xlsx file with a sheet for each file.
Generic Excel 73 Store and retrieve data from an Excel spreadsheet
Generic HTML 74 Generate a HTML with table of emoticons/emojis by category, group, name, unicode and html code.
Generic Hex 75 Outputs an hexadecimal representation of the characters of the file provided allowing to adjust how many per line/row.
Generic List files 76 After listing all files and folders recursively producing a count table by file extension.
Generic RSS 77 Builds an HTML file with the current linked news titles, publication date and source from Google News RSS.
Generic RSS 78 Example of generating a HTML list of titles, links and publication dates from a RSS feed
Generic RSS 79 Generates a HTML page with the current news from Google News, order by date, and opens a browser with it.
Generic RSS 80 Parses the Slashdot's RSS feed news into a quick clickable HTML page in a browser
Generic Set 81 Given two json files, with arrays of component versions, generate a table with the difference on one of the sides.
Generic Set 82 Given two json files, with arrays of component versions, generate a table with the union of the two sides.
Generic Template 83 Given a meal name will search 'The Meal DB' site for the corresponding recipe and render a markdown HTML of the corresponding recipe.
Generic Text 84 Get a json with lyrics of a song.
Generic Text 85 Search a word in the English dictionary returning phonetic, meanings, synonyms, antonyms, etc.
Generic YAML 86 Given an YAML file with a data array composed of maps with fields 'c', 's', 'd' and 'e' filter by any record where any field doesn't have contents.
GitHub GIST 87 Using GitHub's GIST functionality retrieves and parses an oAFp examples YAML file with the template and the corresponding data.
GitHub Releases 88 Builds a table of GitHub project releases
GitHub Releases 89 Parses the latest GitHub project release markdown notes
Grid Java 90 Parses a Java hsperf data + the current rss java process memory into a looping grid.
Grid Java 91 Parses a Java hsperf data into a looping grid.
Grid Kubernetes 92 Displays a continuous updating grid with a line chart with the number of CPU throtlles and bursts recorded in the Linux cgroup cpu stats of a container running in Kubernetes and the source cpu.stats data
Grid Mac 93 Shows a grid with the Mac network metrics and 4 charts for in, out packets and in, out bytes
Grid Mac 94 Shows a grid with the Mac storage metrics and 4 charts for read, write IOPS and read, write bytes per second
Grid Unix 95 On an Unix/Linux system supporting 'ps' output formats %cpu and %mem, will output a chart with the percentage of cpu and memory usage of a provided pid (e.g. 12345)
JSON Schemas Lists 96 Get a list of JSON schemas from Schema Store catalog
Java Certificates 97 Given a Java keystore will obtain a list of certificates and output them order by the ones that will expire first.
Kubernetes Containers 98 Parse the Linux cgroup cpu stats on a container running in Kubernetes
Kubernetes Kubectl 99 Build an output table with Kubernetes pods with namespace, pod name, container name and corresponding resources using kubectl
Kubernetes Kubectl 100 Build an output table with Kubernetes pods with node, namespace, pod name, container name and corresponding resources using kubectl
Kubernetes Kubectl 101 Executes a recursive file list find command in a specific pod, namespace and path converting the result into a table.
Kubernetes Kubectl 102 Given the list of all Kubernetes objects will produce a list of objects per namespace, kind, apiVersiom, creation timestamp, name and owner.
Kubernetes Kubectl 103 List of Kubernetes CPU, memory and storage stats per node using kubectl
Kubernetes Kubectl 104 List of Kubernetes pods per namespace and kind using kubectl
Kubernetes Kubectl 105 Produces a list of pods' containers per namespace with the corresponding images and assigned nodes.
Kubernetes PVC 106 Produces a table with all Kubernetes persistent volume claims (PVCs) in use by pods.
Mac Activity 107 Uses the Mac terminal command 'last' output to build an activity table with user, tty, from, login-time and logout-time
Mac Brew 108 List all the packages and corresponding versions installed in a Mac by brew.
Mac Chart 109 On a Mac OS produce a looping chart with the total percentage of current CPU usage.
Mac Info 110 Get a list of the current logged users in Mac OS
Mac Info 111 Parses the current Mac OS hardware information
Mac Info 112 Parses the current Mac OS overview information
Mac Safari 113 Get a list of all Mac OS Safari bookmarks into a CSV file.
Mac Tunnelblink 114 In a Mac OS with Tunnelblink, if you want to copy all your OpenVPN configurations into ovpn files.
Markdown Tables 115 For an input markdown file, parse all tables, transform it to JSON and output as a colored table
Network ASN 116 Retrieve an IP to ASN list list and converts it to ndjson
Network ASN 117 Retrieve the list of ASN number and names from RIPE and transforms it to a CSV.
Network Latency 118 Given a host and a port will display a continuously updating line chart with network latency, in ms, between the current device and the target host and port
Ollama List models 119 Parses the list of models currently in an Ollama deployment
OpenAF Channels 120 Copy the json result of a command into an etcd database using OpenAF's channels
OpenAF Channels 121 Getting all data stored in an etcd database using OpenAF's channels
OpenAF Channels 122 Given a Prometheus database will query for a specific metric (go_memstats_alloc_bytes), during a defined period, every 5 seconds (step) will produce a static chart with the corresponding metric values.
OpenAF Channels 123 Perform a query to a metric & label, with a start and end time, to a Prometheus server using OpenAF's channels
OpenAF Channels 124 Retrieve all keys stores in a H2 MVStore file using OpenAF's channels
OpenAF Channels 125 Store and retrieve data from a Redis database
OpenAF Channels 126 Store and retrieve data from a RocksDB database
OpenAF Channels 127 Store the json results of a command into a H2 MVStore file using OpenAF's channels
OpenAF Flags 128 List the current values of OpenAF/oAFp internal flags
OpenAF Network 129 Gets all the DNS host addresses for a provided domain and ensures that the output is always a list
OpenAF Network 130 List all MX (mail servers) network addresses from the current DNS server for a hostname using OpenAF
OpenAF Network 131 List all network addresses returned from the current DNS server for a hostname using OpenAF
OpenAF OS 132 Current OS information visible to OpenAF
OpenAF OS 133 Using OpenAF parse the current environment variables
OpenAF OpenVPN 134 Using OpenAF code to perform a more complex parsing of the OpenVPN status data running on an OpenVPN container (nmaguiar/openvpn) called 'openvpn'
OpenAF SFTP 135 Generates a file list with filepath, size, permissions, create and last modified time from a SFTP connection with user and password
OpenAF SFTP 136 Generates a file list with filepath, size, permissions, create and last modified time from a SFTP connection with user, private key and password
OpenAF TLS 137 List the TLS certificates of a target host with a sorted alternative names using OpenAF
OpenAF oJob.io 138 Parses ojob.io/news results into a clickable news title HMTL page.
OpenAF oJob.io 139 Retrieves the list of oJob.io's jobs and filters which start by 'ojob.io/news' to display them in a rectangle
OpenAF oPacks 140 Listing all currently accessible OpenAF's oPacks
OpenAF oafp 141 Filter the OpenAF's oafp examples list by a specific word in the description
OpenAF oafp 142 List the OpenAF's oafp examples by category, sub-category and description
OpenVPN List 143 When using the container nmaguiar/openvpn it's possible to convert the list of all clients order by expiration/end date
Unix Activity 144 Uses the Linux command 'last' output to build a table with user, tty, from and period of activity for Debian based Linuxs
Unix Activity 145 Uses the Linux command 'last' output to build a table with user, tty, from and period of activity for RedHat based Linuxs
Unix Alpine 146 List all installed packages in an Alpine system
Unix Compute 147 Parses the Linux /proc/cpuinfo into an array
Unix Debian/Ubuntu 148 List all installed packages in a Debian/Ubuntu system
Unix Envs 149 Converts the Linux envs command result into a table of environment variables and corresponding values
Unix Files 150 Converting the Linux's /etc/os-release to SQL insert statements.
Unix Files 151 Converting the Unix's syslog into a json output.
Unix Files 152 Executes a recursive file list find command converting the result into a table.
Unix Files 153 Parses the Linux /etc/passwd to a table order by uid and gid.
Unix Generic 154 Creates, in unix, a data.ndjson file where each record is formatted from json files in /some/data
Unix Memory map 155 Given an Unix process will output a table with process's components memory address, size in bytes, permissions and owner
Unix Network 156 Loop over the current Linux active network connections
Unix Network 157 Parse the Linux 'arp' command output
Unix Network 158 Parse the Linux 'ip tcp_metrics' command
Unix Network 159 Parse the result of the Linux route command
Unix OpenSuse 160 List all installed packages in an OpenSuse system or zypper based system
Unix RedHat 161 List all installed packages in a RedHat system or rpm based system (use rpm –querytags to list all fields available)
Unix Storage 162 Converting the Unix's df output
Unix Storage 163 Parses the result of the Unix ls command
Unix SystemCtl 164 Converting the Unix's systemctl list-timers
Unix SystemCtl 165 Converting the Unix's systemctl list-units
Unix SystemCtl 166 Converting the Unix's systemctl list-units into an overview table
Unix UBI 167 List all installed packages in an UBI system
Unix named 168 Converts a Linux's named log, for client queries, into a CSV
Windows Network 169 Output a table with the current route table using Windows' PowerShell
Windows Network 170 Output a table with the list of network interfaces using Windows' PowerShell
Windows PnP 171 Output a table with USB/PnP devices using Windows' PowerShell
Windows Storage 172 Output a table with the attached disk information using Windows' PowerShell
XML Maven 173 Given a Maven pom.xml parses the XML content to a colored table ordering by the fields groupId and artifactId.

πŸ“— Examples


1

πŸ“– AI | Classification

Given a list of news titles with corresponding dates and sources add a category and sub-category field to each

export OAFP_MODEL="(type: ollama, model: 'llama3', url: 'http://ollama.local', timeout: 900000, temperature: 0)"
# get 10 news titles
RSS="https://news.google.com/rss" && oafp url="$RSS" path="rss.channel.item[].{title:title,date:pubDate,source:source._}" from="sort(-date)" out=json sql="select * limit 5" > news.json
# add category and sub-category
oafp news.json llmcontext="list a news titles with date and source" llmprompt="keeping the provided title, date and source add a category and sub-category fields to the provided list" out=json > newsCategorized.json
oafp newsCategorized.json getlist=true out=ctable

2

πŸ“– AI | Conversation

Send multiple requests to an OpenAI model keeping the conversation between interactions and setting the temperature parameter

export OAFP_MODEL="(type: openai, model: 'gpt-3.5-turbo-0125', key: ..., timeout: 900000, temperature: 0)"
echo "List all countries in the european union" | oafp in=llm out=ctree llmconversation=cvst.json
echo "Add the corresponding country capital" | oafp in=llm out=ctree llmconversation=cvst.json
rm cvst.json

3

πŸ“– AI | Generate data

Generates synthetic data making parallel prompts to a LLM model and then cleaning up the result removing duplicate records into a final csv file.

# Set the LLM model to use
export OAFP_MODEL="(type: openai, url: 'https://api.scaleway.ai', key: '111-222-333', model: 'llama-3.1-70b-instruct', headers: (Content-Type: application/json))"
# Run 5 parallel prompts to generate data
oafp data="()" path="range(\`5\`)" out=cmd outcmdtmpl=true outcmd="oafp data='generate a list of 10 maps each with firstName, lastName, city and country' in=llm out=ndjson" > data.ndjson
# Clean-up generate data removing duplicates
oafp data.ndjson in=ndjson ndjsonjoin=true removedups=true out=csv > data.csv

4

πŸ“– AI | Generate data

Generates synthetic data using a LLM model and then uses the recorded conversation to generate more data respecting the provided instructions

export OAFP_MODEL="(type: ollama, model: 'llama3', url: 'https://models.local', timeout: 900000)"
oafp in=llm llmconversation=conversation.json data="Generate #5 synthetic transaction record data with the following attributes: transaction id - a unique alphanumeric code; date - a date in YYYY-MM-DD format; amount - a dollar amount between 10 and 1000; description - a brief description of the transaction" getlist=true out=ndjson > data.ndjson
oafp in=llm llmconversation=conversation.json data="Generate 5 more records" getlist=true out=ndjson >> data.ndjson
oafp data.ndjson ndjsonjoin=true out=ctable sql="select * order by transaction_id"

5

πŸ“– AI | Groq

Calculation

export OAFP_MODEL="(type: openai, model: 'llama3-70b-8192', key: '...', url: 'https://api.groq.com/openai', timeout: 900000, temperature: 0)"
oafp in=llm data="how much does light take to travel from Tokyo to Osaka in ms; return a 'time_in_ms' and a 'reasoning'"

6

πŸ“– AI | Mistral

List all available LLM models at mistral.ai

# export OAFP_MODEL="(type: openai, model: 'llama3', url: 'https://api.mistral.ai', key: '...', timeout: 900000, temperature: 0)"
oafp in=llmmodels data="()" path="sort([].id)"

7

πŸ“– AI | Ollama

Setting up access to Ollama and ask for data to an AI LLM model

export OAFP_MODEL="(type: ollama, model: 'mistral', url: 'https://models.local', timeout: 900000)"
echo "Output a JSON array with 15 cities where each entry has the 'city' name, the estimated population and the corresponding 'country'" | oafp input=llm output=json > data.json
oafp data.json output=ctable sql="select * order by population desc"

8

πŸ“– AI | OpenAI

Setting up the OpenAI LLM model and gather the data into a data.json file

export OAFP_MODEL="(type: openai, model: gpt-3.5-turbo, key: ..., timeout: 900000)"
echo "list all United Nations secretaries with their corresponding 'name', their mandate 'begin date', their mandate 'end date' and their corresponding secretary 'numeral'" | oafp input=llm output=json > data.json

9

πŸ“– AI | Prompt

Example of generating data from an AI LLM prompt

export OAFP_MODEL="(type: openai, model: 'gpt-3.5-turbo', key: '...', timeout: 900000)"
oafp in=llm data="produce a list of 25 species of 'flowers' with their english and latin name and the continent where it can be found" out=json > data.json

10

πŸ“– AI | Scaleway

Setting up a Scaleway Generative API LLM connection and ask for a list of all Roman emperors.

OAFP_MODEL="(type: openai, url: 'https://api.scaleway.ai', key: '111-222-333', model: 'llama-3.1-70b-instruct', headers: (Content-Type: application/json))"
oafp data="list all roman emperors" in=llm getlist=true out=ctable

11

πŸ“– AI | Summarize

Use an AI LLM model to summarize the weather information provided in a JSON format

export OAFP_MODEL="(type: openai, model: 'gpt-3.5-turbo', key: '...', timeout: 900000)"
oafp url="https://wttr.in?format=j2" llmcontext="current and forecast weather" llmprompt="produce a summary of the current and forecasted weather" out=md

12

πŸ“– AI | TogetherAI

List all available LLM models at together.ai with their corresponding type and price components order by the more expensive, for input and output

# export OAFP_MODEL="(type: openai, model: 'meta-llama/Meta-Llama-3-70B', url: 'https://api.together.xyz', key: '...', timeout: 9000000, temperature: 0)"
oafp in=llmmodels data="()" path="[].{id:id,name:display_name,type:type,ctxLen:context_length,priceHour:pricing.hourly,priceIn:pricing.input,priceOut:pricing.output,priceBase:pricing.base,priceFineTune:pricing.finetune}" sql="select * order by priceIn desc,priceOut desc" out=ctable

13

πŸ“– APIs | NASA

Markdown table of near Earth objects by name, magnitude, if is potentially hazardous asteroids and corresponding distance

curl -s "https://api.nasa.gov/neo/rest/v1/feed?API_KEY=DEMO_KEY" | oafp path="near_earth_objects" maptoarray=true output=json | oafp path="[0][].{name:name,magnitude:absolute_magnitude_h,hazardous:is_potentially_hazardous_asteroid,distance:close_approach_data[0].miss_distance.kilometers}" sql="select * order by distance" output=mdtable

14

πŸ“– APIs | Network

Converting the Cloudflare DNS trace info

curl -s https://1.1.1.1/cdn-cgi/trace | oafp in=ini out=ctree

15

πŸ“– APIs | Network

Converting the Google DNS DoH query result

DOMAIN=yahoo.com && oafp path=Answer from="sort(data)" out=ctable url="https://8.8.8.8/resolve?name=$DOMAIN&type=a"

16

πŸ“– APIs | Network

Generating a simple map of the current public IP address

curl -s https://ifconfig.co/json | oafp flatmap=true out=map

17

πŸ“– APIs | Public Holidays

Return the public holidays for a given country on a given year

COUNTRY=US && YEAR=2024 && oafp url="https://date.nager.at/api/v2/publicholidays/$YEAR/$COUNTRY" path="[].{date:date,localName:localName,name:name}" out=ctable

18

πŸ“– APIs | Space

How many people are in space and in which craft currently in space

curl -s http://api.open-notify.org/astros.json | oafp path="people" sql="select \"craft\", count(1) \"people\" group by \"craft\"" output=ctable

19

πŸ“– APIs | iTunes

Search the Apple's iTunes database for a specific term

TRM="Mozart" && oafp url="https://itunes.apple.com/search?term=$TRM" out=ctree

20

πŸ“– AWS | DynamoDB

Given an AWS DynamoDB table 'my-table' will produce a ndjson output with all table items.

# opack install AWS
oafp libs="@AWS/aws.js" in=ch inch="(type: dynamo, options: (region: us-west-1, tableName: my-table))" inchall=true data="__"  out=ndjson

21

πŸ“– AWS | DynamoDB

Given an AWS DynamoDB table 'my-users' will produce a colored tree output by getting the item for the email key 'scott.tiger@example.com'

# opack install AWS
oafp in=ch inch="(type: dynamo, options: (region: eu-west-1, tableName: my-users))" data="(email: scott-tiger@example.com)" libs="@AWS/aws.js" out=ctree

22

πŸ“– AWS | EC2

Given all AWS EC2 instances in an account produces a table with name, type, vpc and private ip sorted by vpc

aws ec2 describe-instances | oafp path="Reservations[].Instances[].{name:join('',Tags[?Key=='Name'].Value),type:InstanceType,vpc:VpcId,ip:PrivateIpAddress} | sort_by(@, &vpc)" output=ctable

23

πŸ“– AWS | EKS

Builds an excel spreadsheet with all persistent volumes associated with an AWS EKS 'XYZ' with the corresponding Kubernetes namespace, pvc and pv names

# sudo yum install -y fontconfig
aws ec2 describe-volumes | oafp path="Volumes[?Tags[?Key=='kubernetes.io/cluster/XYZ']|[0].Value=='owned'].{VolumeId:VolumeId,Name:Tags[?Key=='Name']|[0].Value,KubeNS:Tags[?Key=='kubernetes.io/created-for/pvc/namespace']|[0].Value,KubePVC:Tags[?Key=='kubernetes.io/created-for/pvc/name']|[0].Value,KubePV:Tags[?Key=='kubernetes.io/created-for/pv/name']|[0].Value,AZ:AvailabilityZone,Size:Size,Type:VolumeType,CreateTime:CreateTime,State:State,AttachTime:join(',',nvl(Attachments[].AttachTime,from_slon('[]'))[]),InstanceId:join(',',nvl(Attachments[].InstanceId,from_slon('[]'))[])}" from="sort(KubeNS,KubePVC)" out=xls xlsfile=xyz_pvs.xlsx

24

πŸ“– AWS | Lambda

Prepares a table of AWS Lambda functions with their corresponding main details

aws lambda list-functions | oafp path="Functions[].{Name:FunctionName,Runtime:Runtime,Arch:join(',',Architectures),Role:Role,MemorySize:MemorySize,EphStore:EphemeralStorage.Size,CodeSize:CodeSize,LastModified:LastModified}" from="sort(Name)" out=ctable

25

πŸ“– AWS | Lambda

Prepares a table, for a specific AWS Lambda function during a specific time periods, with number of invocations and minimum, average and maximum duration per periods from AWS CloudWatch

export _SH="aws cloudwatch get-metric-statistics --namespace AWS/Lambda --start-time 2024-03-01T00:00:00Z --end-time 2024-04-01T00:00:00Z --period 3600 --dimensions Name=FunctionName,Value=my-function"
$_SH --statistics Sum --metric-name Invocations  | oafp path="Datapoints[].{ts:Timestamp,cnt:Sum}" out=ndjson > data.ndjson
$_SH --statistics Average --metric-name Duration | oafp path="Datapoints[].{ts:Timestamp,avg:Average}" out=ndjson >> data.ndjson
$_SH --statistics Minimum --metric-name Duration | oafp path="Datapoints[].{ts:Timestamp,min:Minimum}" out=ndjson >> data.ndjson
$_SH --statistics Maximum --metric-name Duration | oafp path="Datapoints[].{ts:Timestamp,max:Maximum}" out=ndjson >> data.ndjson
oafp data.ndjson ndjsonjoin=true opath="[].{ts:ts,cnt:nvl(cnt,\`0\`),min:nvl(min,\`0\`),avg:nvl(avg,\`0\`),max:nvl(max,\`0\`)}" out=json | oafp isql="select \"ts\",max(\"cnt\") \"cnt\",max(\"min\") \"min\",max(\"avg\") \"avg\",max(\"max\") \"max\" group by \"ts\" order by \"ts\"" opath="[].{ts:ts,cnt:cnt,min:from_ms(min,'(abrev:true,pad:true)'),avg:from_ms(avg,'(abrev:true,pad:true)'),max:from_ms(max,'(abrev:true,pad:true)')}" out=ctable

26

πŸ“– Azure | Bing

Given an Azure Bing Search API key and a query returns the corresponding search result from Bing.

QUERY="OpenAF" && KEY="12345" && curl -X GET "https://api.bing.microsoft.com/v7.0/search?q=$QUERY" -H "Ocp-Apim-Subscription-Key: $KEY" | oafp out=ctree

27

πŸ“– Channels | S3

Given a S3 bucket will load data from a previously store data in a provided prefix

# opack install s3
oafp libs="@S3/s3.js" in=ch inch="(type: s3, options: (s3url: 'https://play.min.io:9000', s3accessKey: abc123, s3secretKey: 'xyz123', s3bucket: test, s3prefix: data, multifile: true, gzip: true))" data="()" inchall=true out=ctable

28

πŸ“– Channels | S3

Given a S3 bucket will save a list of data (the current list of name and versions of OpenAF's oPacks) within a provided prefix

# opack install s3
oafp libs="@S3/s3.js" -v path="openaf.opacks" out=ch ch="(type: s3, options: (s3url: 'https://play.min.io:9000', s3accessKey: abc123, s3secretKey: 'xyz123', s3bucket: test, s3prefix: data, multifile: true, gzip: true))" chkey=name

29

πŸ“– Chart | Unix

Output a chart with the current Unix load using uptime

oafp cmd="uptime" in=raw path="replace(trim(@), '.+ ([\d\.]+),? ([\d\.]+),? ([\d\.]+)\$', '', '\$1|\$2|\$3').split(@,'|')" out=chart chart="dec2 [0]:green:load -min:0" loop=1 loopcls=true

30

πŸ“– DB | H2

Perform a SQL query over a H2 database.

echo "select * from \"data\"" | oafp in=db indbjdbc="jdbc:h2:./data" indbuser=sa indbpass=sa out=ctable

31

πŸ“– DB | H2

Perform queries and DML SQL statements over a H2 databases

# Dump data into a table
oafp data="[(id: 1, val: x)|(id: 2, val: y)|(id: 3, val: z)]" in=slon out=db dbjdbc="jdbc:h2:./data" dbuser=sa dbpass=sa dbtable=data
# Copy data to another new table
ESQL='create table newdata as select * from "data"' && oafp in=db indbjdbc="jdbc:h2:./data" indbuser=sa indbpass=sa indbexec=true data="$ESQL"
# Drop the original table
ESQL='drop table "data"' && oafp in=db indbjdbc="jdbc:h2:./data" indbuser=sa indbpass=sa indbexec=true data="$ESQL"
# Output data from the new table
SQL='select * from newdata' && oafp in=db indbjdbc="jdbc:h2:./data" indbuser=sa indbpass=sa data="$SQL" out=ctable

32

πŸ“– DB | H2

Store the json result of a command into a H2 database table.

oaf -c "\$o(listFilesRecursive('.'),{__format:'json'})" | oafp out=db dbjdbc="jdbc:h2:./data" dbuser=sa dbpass=sa dbtable=data

33

πŸ“– DB | List

List all OpenAF's oPack pre-prepared JDBC drivers

oaf -c "sprint(getOPackRemoteDB())" | oafp maptoarray=true opath="[].{name:name,description:description,version:version}" sql="select * where name like 'jdbc-%' order by name" out=ctable

34

πŸ“– DB | Mongo

List all records from a specific MongoDB database and collection from a remote Mongo database.

# opack install mongo
oafp libs="@Mongo/mongo.js" in=ch inch="(type: mongo, options: (database: default, collection: collection, url: 'mongodb://a.server:27017'))" inchall=true path="[].delete(@,'_id')" data="()"

35

πŸ“– DB | SQLite

Lists all files in openaf.jar, stores the result in a 'data' table on a SQLite data.db file and performs a query over the stored data.

# ojob ojob.io/db/getDriver op=install db=sqlite
opack install jdbc-sqlite
# Dump data into a 'data' table
oafp in=ls data=openaf.jar out=db dbjdbc="jdbc:sqlite:data.db" dblib=sqlite dbtable="data"
# Gets stats over the dump data from the 'data' table
SQL='select count(1) numberOfFiles, round(avg("size")) avgSize, sum("size") totalSize from "data"' && oafp in=db indbjdbc="jdbc:sqlite:data.db" indblib=sqlite data="$SQL" out=ctable

36

πŸ“– DB | SQLite

Perform a query over a database using JDBC.

# ojob ojob.io/db/getDriver op=install db=sqlite
opack install jdbc-sqlite
echo "select * from data" | oafp in=db indbjdbc="jdbc:sqlite:data.db" indbtable=data indblib=sqlite out=ctable

37

πŸ“– DB | SQLite

Store the json result on a SQLite database table.

# ojob ojob.io/db/getDriver op=install db=sqlite
opack install jdbc-sqlite
oaf -c "\$o(listFilesRecursive('.'),{__format:'json'})" | oafp out=db dbjdbc="jdbc:sqlite:data.db" dbtable=data dblib=sqlite

38

πŸ“– Diff | Envs

Given two JSON files with environment variables performs a diff and returns a colored result with the corresponding differences

env | oafp in=ini out=json > data1.json
# change one or more environment variables
env | oafp in=ini out=json > data2.json
oafp in=oafp data="[(file: data1.json)|(file: data2.json)]" diff="(a:'[0]',b:'[1]')" color=true

39

πŸ“– Diff | Lines

Performing a diff between two long command lines to spot differences

oafp diff="(a:before,b:after)" diffchars=true in=yaml color=true
# as stdin enter
before: URL="http://localhost:9090" && METRIC="go_memstats_alloc_bytes" && TYPE="bytes" && LABELS="job=\"prometheus\"" && START="2024-06-18T20:00:00Z" && END="2024-06-18T20:15:00Z" && STEP=5 && echo "{query:'max($METRIC{$LABELS})',start:'$START',end:'$END',step:$STEP}" | oafp in=ch inch="(type:prometheus,options:(urlQuery:'$URL'))" inchall=true out=json | oafp path="[].set(@, 'main').map(&{metric:'$METRIC',job:get('main').metric.job,timestamp:to_date(mul([0],\`1000\`)),value:to_number([1])}, values) | []" out=schart schart="$TYPE '[].value':green:$METRIC -min:0"

after: URL="http://localhost:9090" && METRIC="go_memstats_alloc_bytes" && TYPE="bytes" && LABELS="job=\"prometheus\"" && START="2024-06-18T20:00:00Z" && END="2024-06-18T20:15:00Z" && STEP=5 && echo "{query:'max($METRIC{$LABELS})',start:'$START',end:'$END',step:$STEP}" | oafp in=ch inch="(type:prometheus,options:(urlQuery:'$URL'))" inchall=true out=json | oafp path="[].set(@, 'main').map(&{metric:'$METRIC',job:get('main').metric.job,timestamp:to_date([0]),value:to_number([1])}, values) | []" out=schart schart="$TYPE '[].value':green:$METRIC -min:0"
#
# Ctrl^D 
# as the result the difference between before and after will appear as red characters

40

πŸ“– Diff | Path

Given two JSON files with the parsed PATH environment variable performs a diff and returns a colored result with the corresponding differences

env | oafp in=ini path="PATH.split(@,':')" out=json > data1.json
# export PATH=$PATH:/some/new/path
env | oafp in=ini path="PATH.split(@,':')" out=json > data2.json
oafp in=oafp data="[(file: data1.json)|(file: data2.json)]" diff="(a:'sort([0])',b:'sort([1])')" color=true

41

πŸ“– Docker | Containers

Output a table with the list of running containers.

oafp cmd="docker ps --format json" input=ndjson ndjsonjoin=true path="[].{id:ID,name:Names,state:State,image:Image,networks:Networks,ports:Ports,Status:Status}" sql="select * order by networks,state,name" output=ctable

42

πŸ“– Docker | Listing

List all containers with the docker-compose project, service name, file, id, name, image, creation time, status, networks and ports.

docker ps -a --format=json | oafp in=ndjson ndjsonjoin=true out=ctree path="[].insert(@,'Labels',sort_by(split(Labels,',')[].split(@,'=').{key:[0],value:[1]},&key))" out=json | oafp path="[].{dcProject:nvl(Labels[?key=='com.docker.compose.project']|[0].value,''),dcService:nvl(Labels[?key=='com.docker.compose.service']|[0].value,''),ID:ID,Names:Names,Image:Image,Created:RunningFor,Status:Status,Ports:Ports,Networks:Networks,dcFile:nvl(Labels[?key=='com.docker.compose.project.config_files']|[0].value,'')}" sql="select * order by dcProject,dcService,Networks,Names" out=ctable

43

πŸ“– Docker | Listing

List all containers with their corresponding labels parsed and sorted.

docker ps -a --format=json | oafp in=ndjson ndjsonjoin=true out=ctree path="[].insert(@,'Labels',sort_by(split(Labels,',')[].split(@,'=').{key:[0],value:[1]},&key))" out=ctree

44

πŸ“– Docker | Network

Output a table with the docker networks info.

docker network ls --format json | oafp in=ndjson ndjsonjoin=true out=ctable

45

πŸ“– Docker | Registry

List all a table of docker container images repository and corresponding tags of a private registry.

# opack install DockerRegistry
# check more options with 'oafp libs=dockerregistry help=dockerregistry' 
oafp libs=dockerregistry in=registryrepos data="()" inregistryurl=http://localhost:5000 inregistrytags=true out=ctable

46

πŸ“– Docker | Registry

List all the docker container image repositories of a private registry.

# opack install DockerRegistry
# check more options with 'oafp libs=dockerregistry help=dockerregistry' 
oafp libs=dockerregistry data="()" in=registryrepos inregistryurl=http://localhost:5000

47

πŸ“– Docker | Registry

List all the docker container image repository tags of a private registry.

# opack install DockerRegistry
# check more options with 'oafp libs=dockerregistry help=dockerregistry' 
oafp libs=dockerregistry data="library/nginx" in=registrytags inregistryurl=http://localhost:5000

48

πŸ“– Docker | Stats

Output a table with the docker stats broken down for each value.

oafp cmd="docker stats --no-stream" in=lines linesvisual=true linesjoin=true out=ctree path="[].{containerId:\"CONTAINER ID\",pids:PIDS,name:\"NAME\",cpuPerc:\"CPU %\",memory:\"MEM USAGE / LIMIT\",memPerc:\"MEM %\",netIO:\"NET I/O\",blockIO:\"BLOCK I/O\"}|[].{containerId:containerId,pids:pids,name:name,cpuPerc:replace(cpuPerc,'%','',''),memUsage:from_bytesAbbr(split(memory,' / ')[0]),memLimit:from_bytesAbbr(split(memory,' / ')[1]),memPerc:replace(memPerc,'%','',''),netIn:from_bytesAbbr(split(netIO,' / ')[0]),netOut:from_bytesAbbr(split(netIO,' / ')[1]),blockIn:from_bytesAbbr(split(blockIO,' / ')[0]),blockOut:from_bytesAbbr(split(blockIO,' / ')[1])}" out=ctable

49

πŸ“– Docker | Storage

Output a table with the docker volumes info.

docker volume ls --format json | oafp in=ndjson ndjsonjoin=true out=ctable

50

πŸ“– ElasticSearch | Cluster

Get an ElasticSearch/OpenSearch cluster nodes overview

export ES_URL=http://elastic.search:9200
export ES_EXTRA="--insecure"
curl -s "$ES_URL/_cat/nodes?format=json" $ES_EXTRA | oafp sql="select * order by ip" out=ctable

51

πŸ“– ElasticSearch | Cluster

Get an ElasticSearch/OpenSearch cluster per host data allocation

export ES_URL=http://elastic.search:9200
export ES_EXTRA="--insecure"
curl -s "$ES_URL/_cat/allocation?format=json&bytes=b" $ES_EXTRA | oafp sql="select * order by host" out=ctable

52

πŸ“– ElasticSearch | Cluster

Get an ElasticSearch/OpenSearch cluster settings flat

export ES_URL=http://elastic.search:9200
export ES_EXTRA="--insecure"
curl -s "$ES_URL/_cluster/settings?include_defaults=true&flat_settings=true" $ES_EXTRA | oafp out=ctree

53

πŸ“– ElasticSearch | Cluster

Get an ElasticSearch/OpenSearch cluster settings non-flatted

export ES_URL=http://elastic.search:9200
export ES_EXTRA="--insecure"
curl -s "$ES_URL/_cluster/settings?include_defaults=true" $ES_EXTRA | oafp out=ctree

54

πŸ“– ElasticSearch | Cluster

Get an ElasticSearch/OpenSearch cluster stats per node

export ES_URL=http://elastic.search:9200
export ES_EXTRA="--insecure"
curl -s "$ES_URL/_nodes/stats/indices/search" $ES_EXTRA | oafp out=ctree

55

πŸ“– ElasticSearch | Cluster

Get an overview of an ElasticSearch/OpenSearch cluster health

export ES_URL=http://elastic.search:9200
export ES_EXTRA="--insecure"
curl -s "$ES_URL/_cat/health?format=json" $ES_EXTRA | oafp out=ctable

56

πŸ“– ElasticSearch | Indices

Get an ElasticSearch/OpenSearch count per index

export ES_URL=http://elastic.search:9200
export ES_EXTRA="--insecure"
curl -s "$ES_URL/kibana_sample_data_flights/_count" $ES_EXTRA | oafp

57

πŸ“– ElasticSearch | Indices

Get an ElasticSearch/OpenSearch indices overview

export ES_URL=http://elastic.search:9200
export ES_EXTRA="--insecure"
curl -s "$ES_URL/_cat/indices?format=json&bytes=b" $ES_EXTRA | oafp sql="select * order by index" out=ctable

58

πŸ“– ElasticSearch | Indices

Get an ElasticSearch/OpenSearch settings for a specific index

export ES_URL=http://elastic.search:9200
export ES_EXTRA="--insecure"
curl -s "$ES_URL/kibana_sample_data_flights/_settings" $ES_EXTRA | oafp out=ctree

59

πŸ“– GIT | History

Give a GIT repository will retrieve the current log history and parse it to an Excel (XLS) file.

opack install plugin-XLS
git log --pretty=format:'{c:"%H",a:"%an",d:"%ad",m:"%s"}' | oafp in=ndjson ndjsonjoin=true path="[].{commit:c,author:a,date:to_date(d),message:m}" out=xls outfile=data.xlsx xlsopen=false

60

πŸ“– GPU | Nvidia

Builds a grid with two charts providing a visualization over a Nvidia GPU usage and the corresponding memory usage for a specific GPU_IDX (gpu index)

GPU_IDX=0 &&oafp cmd="nvidia-smi --query-gpu=index,name,memory.total,memory.used,memory.free,utilization.gpu --format=csv,nounits | oafp in=lines path=\"map(&trim(@),split(@,',')).join(',',@)\"" in=csv path="[$GPU_IDX].{memTotal:mul(to_number(\"memory.total [MiB]\"),\`1024\`),memUsed:mul(to_number(\"memory.used [MiB]\"),\`1024\`),memFree:mul(to_number(\"memory.free [MiB]\"),\`1024\`),gpuUse:to_number(\"utilization.gpu [%]\")}" out=grid grid="[[(title: usage, type: chart, obj: 'int gpuUse:green:usage -min:0 -max:100')]|[(title: memory, type: chart, obj: 'bytes memTotal:red:total memUsed:cyan:used -min:0')]]" loopcls=true loop=1

61

πŸ“– GPU | Nvidia

Get current Nvidia per-gpu usage

nvidia-smi --query-gpu=index,name,memory.total,memory.used,memory.free,utilization.gpu --format=csv,nounits | oafp in=lines path="map(&trim(@),split(@,',')).join(',',@)" | oafp in=csv out=ctable

62

πŸ“– Generic | Arrays

Converting an array of strings into an array of maps

oafp -v path="java.params[].insert(from_json('{}'), 'param', @).insert(@, 'len', length(param))"

63

πŸ“– Generic | Avro

Given an Avro data file outputs it's corresponding statistics

# opack install avro
oafp libs=avro data.avro inavrostats=true

64

πŸ“– Generic | Avro

Given an Avro data file outputs the correspoding schema

# opack install avro
oafp libs=avro data.avro inavroschema=true

65

πŸ“– Generic | Avro

Reads an Avro data file as input

# opack install avro
oafp data.avro libs=avro out=ctable

66

πŸ“– Generic | Avro

Write an Avro data file as an output

# opack install avro
oafp data.json libs=avro out=avro avrofile=data.avro

67

πŸ“– Generic | Base64

Encode/decode data (or text-like files) to/from gzip base64 representation for easier packing and transport.

# encode a data file to a gzip base64 representation
oafp data.json out=gb64json > data.gb64
# decode a gzip base64 representation back into a data file
oafp data.gb64 in=gb64json out=json > data.json

68

πŸ“– Generic | Commands

Given an input array with phone numbers will run parallel output commands, calling ojob.io/telco/phoneNumber, for each entry effectively building an output from those multiple command executions.

oafp data="[(p:911234567)|(p:+18004564567)]" in=slon out=cmd outcmdtmpl=true outcmd="ojob ojob.io/telco/phoneNumber country=PT number= -json" | oafp in=ndjson ndjsonjoin=true path="[].phoneInfo" out=ctree

69

πŸ“– Generic | Excel

Building an Excel file with the AWS IPv4 and IPv6 ranges (1).

curl https://ip-ranges.amazonaws.com/ip-ranges.json > ip-ranges.json

70

πŸ“– Generic | Excel

Building an Excel file with the AWS IPv4 and IPv6 ranges (2).

oafp ip-ranges.json path=prefixes out=xls xlsfile=aws-ip-ranges.xlsx xlssheet=ipv4

71

πŸ“– Generic | Excel

Building an Excel file with the AWS IPv4 and IPv6 ranges (3).

oafp ip-ranges.json path=ipv6_prefixes out=xls xlsfile=aws-ip-ranges.xlsx xlssheet=ipv6

72

πŸ“– Generic | Excel

Processes each json file in /some/data creating and updating the data.xlsx file with a sheet for each file.

find /some/data -name "*.json" | xargs -I '{}' /bin/sh -c 'oafp file={} output=xls xlsfile=data.xlsx xlsopen=false xlssheet=$(echo {} | sed "s/.*\/\(.*\)\.json/\1/g" )'

73

πŸ“– Generic | Excel

Store and retrieve data from an Excel spreadsheet

# Storing data
oafp cmd="oaf -c \"sprint(listFilesRecursive('/usr/bin'))\"" out=xls xlsfile=data.xlsx
# Retrieve data
oafp in=xls file=data.xlsx xlscol=A xlsrow=1 out=pjson

74

πŸ“– Generic | HTML

Generate a HTML with table of emoticons/emojis by category, group, name, unicode and html code.

oafp url="https://emojihub.yurace.pro/api/all" path="[].{category:category,group:group,name:name,len:length(unicode),unicode:join('<br>',unicode),htmlCode:replace(join('<br>', htmlCode),'&','g','&amp;'),emoji:join('', htmlCode)}" out=mdtable | oafp in=md out=html

75

πŸ“– Generic | Hex

Outputs an hexadecimal representation of the characters of the file provided allowing to adjust how many per line/row.

oafp some.file in=rawhex inrawhexline=15 out=ctable

76

πŸ“– Generic | List files

After listing all files and folders recursively producing a count table by file extension.

FPATH="git/ojob.io" && oafp in=ls lsrecursive=true data="$FPATH" path="[].insert(@,'extension',if(isFile && index_of(filename,'.')>'0',replace(filename,'^.+\.([^\.]+)$','','\$1'),'<dir>'))" from="countBy(extension)" out=json | oafp from="sort(-_count)" out=ctable

77

πŸ“– Generic | RSS

Builds an HTML file with the current linked news titles, publication date and source from Google News RSS.

RSS="https://news.google.com/rss" && oafp url="$RSS" path="rss.channel.item[].{title:replace(t(@,'[]()'),'\|','g','\\|'),date:pubDate,source:source._}" from="sort(-date)" out=mdtable | oafp in=md out=html

78

πŸ“– Generic | RSS

Example of generating a HTML list of titles, links and publication dates from a RSS feed

oafp url="https://blog.google/rss" path="rss.channel.item" sql="select title, link, pubDate" output=html

79

πŸ“– Generic | RSS

Generates a HTML page with the current news from Google News, order by date, and opens a browser with it.

oafp url="https://news.google.com/rss" path="rss.channel.item[].{title:title,link:link,date:pubDate,source:source._}" out=template templatetmpl=true template="<html><body><h1>Current Main News</h1><ul><li><a href='' target='_blank'></a> <br><small> | Source: </small></li></ul></body></html>" sql="select * order by date desc" | oafp in=raw out=html

80

πŸ“– Generic | RSS

Parses the Slashdot's RSS feed news into a quick clickable HTML page in a browser

RSS="http://rss.slashdot.org/Slashdot/slashdot" && oafp url="$RSS" path="RDF.item[].{title:replace(t(@,'[]()'),'\|','g','\\|'),department:department,date:date}" from="sort(-date)" out=mdtable | oafp in=md out=html

81

πŸ“– Generic | Set

Given two json files, with arrays of component versions, generate a table with the difference on one of the sides.

oafp data="[(file: versions-latest.json)|(file: versions-build.json)]" in=oafp set="(a:'[0]',b:'[1]')" setop=diffb out=ctable

82

πŸ“– Generic | Set

Given two json files, with arrays of component versions, generate a table with the union of the two sides.

oafp data="[(file: versions-latest.json)|(file: versions-build.json)]" in=oafp set="(a:'[0]',b:'[1]')" setop=union out=ctable

83

πŸ“– Generic | Template

Given a meal name will search 'The Meal DB' site for the corresponding recipe and render a markdown HTML of the corresponding recipe.

MEAL="Pizza" && echo "# \n>  | \n<a href=\"\"><img align=\"center\" width=1280 src=\"\"></a>\n\n## Ingredients\n\n| Ingredient | Measure |\n|---|---|\n|||\n\n\n## Instructions\n\n\n\n}" > _template.hbs && oafp url="https://www.themealdb.com/api/json/v1/1/search.php?s=$MEAL" path="set(meals[0],'o').set(k2a(get('o'),'strIngredient','i',\`true\`),'is').set(k2a(get('o'),'strMeasure','m',\`true\`),'ms')|get('o').insert(get('o'),'ingredients',ranges(length(get('is')),\`0\`,\`1\`).map(&{ ingredient: geta('is',@).i, measure: geta('ms',@).m }, @))" out=json | oafp out=template template=_template.hbs | oafp in=md out=html htmlcompact=true

84

πŸ“– Generic | Text

Get a json with lyrics of a song.

curl -s https://api.lyrics.ovh/v1/Coldplay/Viva%20La%20Vida | oafp path="substring(lyrics,index_of(lyrics, '\n'),length(lyrics))"

85

πŸ“– Generic | Text

Search a word in the English dictionary returning phonetic, meanings, synonyms, antonyms, etc.

WORD="google" && oafp url="https://api.dictionaryapi.dev/api/v2/entries/en/$WORD"

86

πŸ“– Generic | YAML

Given an YAML file with a data array composed of maps with fields 'c', 's', 'd' and 'e' filter by any record where any field doesn't have contents.

oafp oafp-examples.yaml path="data[?length(nvl(c, \'\')) == \`0\` || length(nvl(s, \'\')) == \`0\` || length(nvl(d, \'\')) == \`0\` || length(nvl(e, \'\')) == \`0\`]"

87

πŸ“– GitHub | GIST

Using GitHub's GIST functionality retrieves and parses an oAFp examples YAML file with the template and the corresponding data.

opack install GIST
oafp libs="@GIST/gist.js" in=ch inch="(type: gist)" data="(id: '557e12e4a840d513635b3a57cb57b722', file: oafp-examples.yaml)" path=content | oafp in=yaml out=template templatedata=data templatepath=tmpl

88

πŸ“– GitHub | Releases

Builds a table of GitHub project releases

curl -s https://api.github.com/repos/openaf/openaf/releases | oafp sql="select name, tag_name, published_at order by published_at" output=ctable

89

πŸ“– GitHub | Releases

Parses the latest GitHub project release markdown notes

curl -s https://api.github.com/repos/openaf/openaf/releases | oafp path="[0].body" output=md

90

πŸ“– Grid | Java

Parses a Java hsperf data + the current rss java process memory into a looping grid.

JPID=12345 && HSPERF=/tmp/hsperfdata_openvscode-server/$JPID && oafp in=oafp data="[(file: $HSPERF, in: hsperf, path: java)|(cmd: 'ps -p $JPID -o rss=', path: '{ rss: mul(@,\`1024\`) }')]" merge=true out=grid grid="[[(title:Threads,type:chart,obj:'int threads.live:green:live threads.livePeak:red:peak threads.daemon:blue:daemon -min:0')|(title:RSS,type:chart,obj:'bytes rss:blue:rss')]|[(title:Heap,type:chart,obj:'bytes __mem.total:red:total __mem.used:blue:used -min:0')|(title:Metaspace,type:chart,obj:'bytes __mem.metaTotal:blue:total __mem.metaUsed:green:used -min:0')]]" loop=1

91

πŸ“– Grid | Java

Parses a Java hsperf data into a looping grid.

HSPERF=/tmp/hsperfdata_user/12345 && oafp $HSPERF in=hsperf path=java out=grid grid="[[(title:Threads,type:chart,obj:'int threads.live:green:live threads.livePeak:red:peak threads.daemon:blue:daemon -min:0')|(title:Class Loaders,type:chart,obj:'int cls.loadedClasses:blue:loaded cls.unloadedClasses:red:unloaded')]|[(title:Heap,type:chart,obj:'bytes __mem.total:red:total __mem.used:blue:used -min:0')|(title:Metaspace,type:chart,obj:'bytes __mem.metaTotal:blue:total __mem.metaUsed:green:used -min:0')]]" loop=1

92

πŸ“– Grid | Kubernetes

Displays a continuous updating grid with a line chart with the number of CPU throtlles and bursts recorded in the Linux cgroup cpu stats of a container running in Kubernetes and the source cpu.stats data

oafp cmd="cat /sys/fs/cgroup/cpu.stat | sed 's/ /: /g'" in=yaml out=grid grid="[[(title:cpu.stat,type:tree)|(title:chart,type:chart,obj:'int nr_throttled:red:throttled nr_bursts:blue:bursts -min:0 -vsize:10')]]" loop=1

93

πŸ“– Grid | Mac

Shows a grid with the Mac network metrics and 4 charts for in, out packets and in, out bytes

# opack install mac
sudo powermetrics --help > /dev/null
oafp libs=Mac cmd="sudo powermetrics --format=plist --show-initial-usage -n 0 --samplers network" in=plist path=network out=grid grid="[[(title:data,path:@,xsnap:2)]|[(title:in packets,type:chart,obj:'int ipackets:blue:in')|(title:out packets,type:chart,obj:'int opackets:red:out')]|[(title:in bytes,type:chart,obj:'int ibytes:blue:in')|(title:out bytes,type:chart,obj:'int obytes:red:out')]]" loop=1

94

πŸ“– Grid | Mac

Shows a grid with the Mac storage metrics and 4 charts for read, write IOPS and read, write bytes per second

# opack install mac
sudo powermetrics --help > /dev/null
oafp libs=Mac cmd="sudo powermetrics --format=plist --show-initial-usage -n 0 --samplers disk" in=plist path=disk out=grid grid="[[(title:data,path:@,xsnap:2)]|[(title:read iops,type:chart,obj:'dec3 rops_per_s:blue:read_iops')|(title:write iops,type:chart,obj:'dec3 wops_per_s:red:write_iops')]|[(title:read bytes per sec,type:chart,obj:'bytes rbytes_per_s:blue:read_bytes_per_sec')|(title:write bytes per sec,type:chart,obj:'bytes wbytes_per_s:red:write_bytes_per_sec')]]" loop=1

95

πŸ“– Grid | Unix

On an Unix/Linux system supporting 'ps' output formats %cpu and %mem, will output a chart with the percentage of cpu and memory usage of a provided pid (e.g. 12345)

oafp cmd="ps -p 12345 -o %cpu,%mem" in=lines linesvisual=true linesvisualsepre="\\s+" out=chart chart="int '\"%CPU\"':red:cpu '\"%MEM\"':blue:mem -min:0 -max:100" loop=1 loopcls=true

96

πŸ“– JSON Schemas | Lists

Get a list of JSON schemas from Schema Store catalog

oafp cmd="curl https://raw.githubusercontent.com/SchemaStore/schemastore/master/src/api/json/catalog.json" path="schemas[].{name:name,description:description,files:to_string(fileMatch)}" out=ctable

97

πŸ“– Java | Certificates

Given a Java keystore will obtain a list of certificates and output them order by the ones that will expire first.

# execute 'ojob ojob.io/java/certs -jobhelp' to get more options
ojob ojob.io/java/certs op=list keystore=mycerts -json | oafp out=ctable sql="select * order by notAfter"

98

πŸ“– Kubernetes | Containers

Parse the Linux cgroup cpu stats on a container running in Kubernetes

cat /sys/fs/cgroup/cpu.stat | sed 's/ /: /g' | oafp in=yaml out=ctree

99

πŸ“– Kubernetes | Kubectl

Build an output table with Kubernetes pods with namespace, pod name, container name and corresponding resources using kubectl

kubectl get pods -A -o json | oafp path="items[].amerge({ ns: metadata.namespace, pod: metadata.name, phase: status.phase }, spec.containers[].{ container: name, resources: to_slon(resources) })[]" sql="select ns, pod, container, phase, resources order by ns, pod, container" out=ctable

100

πŸ“– Kubernetes | Kubectl

Build an output table with Kubernetes pods with node, namespace, pod name, container name and corresponding resources using kubectl

kubectl get pods -A -o json | oafp path="items[].amerge({ node: spec.nodeName, ns: metadata.namespace, pod: metadata.name, phase: status.phase }, spec.containers[].{ container: name, resources: to_slon(resources) })[]" sql="select node, ns, pod, container, phase, resources order by node, ns, pod, container" out=ctable

101

πŸ“– Kubernetes | Kubectl

Executes a recursive file list find command in a specific pod, namespace and path converting the result into a table.

NS=default && POD=my-pod-5c9cfb87d4-r6dlp && LSPATH=/data && kubectl exec -n $NS $POD -- find $LSPATH -exec stat -c '{"t":"%F", "p": "%n", "s": %s, "m": "%Y", "e": "%A", "u": "%U", "g": "%G"}' {} \; | oafp in=ndjson ndjsonjoin=true path="[].{type:t,permissions:e,user:u,group:g,size:s,modifiedDate:to_date(mul(to_number(m),\`1000\`)),filepath:p}" from="sort(type,filepath)" out=ctable

102

πŸ“– Kubernetes | Kubectl

Given the list of all Kubernetes objects will produce a list of objects per namespace, kind, apiVersiom, creation timestamp, name and owner.

oafp cmd="kubectl get all -A -o json" path="items[].{ns:metadata.namespace,kind:kind,apiVersion:apiVersion,createDate:metadata.creationTimestamp,name:metadata.name,owner:metadata.join(',',map(&concat(kind, concat('/', name)), nvl(ownerReferences,from_json('[]'))))}" sql="select * order by ns, kind, name" out=ctable

103

πŸ“– Kubernetes | Kubectl

List of Kubernetes CPU, memory and storage stats per node using kubectl

oafp cmd="kubectl get nodes -o json" path="items[].{node:metadata.name,totalCPU:status.capacity.cpu,allocCPU:status.allocatable.cpu,totalMem:to_bytesAbbr(from_bytesAbbr(status.capacity.memory)),allocMem:to_bytesAbbr(from_bytesAbbr(status.allocatable.memory)),totalStorage:to_bytesAbbr(from_bytesAbbr(status.capacity.\"ephemeral-storage\")),allocStorage:to_bytesAbbr(to_number(status.allocatable.\"ephemeral-storage\")),conditions:join(\`, \`,status.conditions[].reason)}" output=ctable

104

πŸ“– Kubernetes | Kubectl

List of Kubernetes pods per namespace and kind using kubectl

oafp cmd="kubectl get pods -A -o json" path="items[].{ns:metadata.namespace,kind:metadata.ownerReferences[].kind,name:metadata.name,status:status.phase,restarts:sum(nvl(status.containerStatuses[].restartCount,from_slon('[0]'))),node:spec.nodeName,age:timeago(nvl(status.startTime,now(\`0\`)))}" sql="select * order by status,name" output=ctable

105

πŸ“– Kubernetes | Kubectl

Produces a list of pods' containers per namespace with the corresponding images and assigned nodes.

kubectl get pods -A -o json | oafp path="items[].amerge({namespace: metadata.namespace, pod: metadata.name, nodeName: spec.nodeName},spec.containers[].{container: name, image: image, pullPolicy: imagePullPolicy})[]" sql="select namespace, pod, container, image, pullPolicy, nodeName order by namespace, pod, container" out=ctable

106

πŸ“– Kubernetes | PVC

Produces a table with all Kubernetes persistent volume claims (PVCs) in use by pods.

oafp cmd="kubectl get pods -A -o json" path="items[].spec.set(@,'m').volumes[?persistentVolumeClaim].insert(@,'pname',get('m').containers[0].name).insert(@,'node',get('m').nodeName) | [].{pod:pname,node:node,pvc:persistentVolumeClaim.claimName}" from="sort(node,pod)" out=ctable

107

πŸ“– Mac | Activity

Uses the Mac terminal command 'last' output to build an activity table with user, tty, from, login-time and logout-time

oafp cmd="last --libxo json" path="\"last-information\".last" out=ctable

108

πŸ“– Mac | Brew

List all the packages and corresponding versions installed in a Mac by brew.

brew list --versions | oafp in=lines linesjoin=true path="[].split(@,' ').{package:[0],version:[1]}|sort_by(@,&package)" out=ctable

109

πŸ“– Mac | Chart

On a Mac OS produce a looping chart with the total percentage of current CPU usage.

oafp cmd="top -l 1 | grep 'CPU usage' | awk '{print \$3 + \$5}'" out=chart chart="int @:blue:CPU_Usage -min:0 -max:100" loop=2 loopcls=true

110

πŸ“– Mac | Info

Get a list of the current logged users in Mac OS

oafp cmd="who -aH" in=lines linesvisual=true linesjoin=true out=ctable path="[0:-1]"

111

πŸ“– Mac | Info

Parses the current Mac OS hardware information

system_profiler SPHardwareDataType -json | oafp path="SPHardwareDataType[0]" out=ctree

112

πŸ“– Mac | Info

Parses the current Mac OS overview information

system_profiler SPSoftwareDataType -json | oafp path="SPSoftwareDataType[0]" out=ctree

113

πŸ“– Mac | Safari

Get a list of all Mac OS Safari bookmarks into a CSV file.

# opack install mac
oafp ~/Library/Safari/Bookmarks.plist libs=Mac path="Children[].map(&{category:get('cat'),title:URIDictionary.title,url:URLString},setp(@,'Title','cat').nvl(Children,from_json('[]')))[][]" out=csv > bookmarks.csv

114

In a Mac OS with Tunnelblink, if you want to copy all your OpenVPN configurations into ovpn files.

oafp in=ls data="$HOME/Library/Application Support/Tunnelblick/Configurations" path="[?filename=='config.ovpn'].insert(@,'name',replace(filepath,'.+\/([^\/]+)\.tblk\/.+','','\$1'))" lsrecursive=true out=cmd outcmdtmpl=true outcmd="cp \"\" output/\".ovpn\""

115

πŸ“– Markdown | Tables

For an input markdown file, parse all tables, transform it to JSON and output as a colored table

oafp url="https://raw.githubusercontent.com/OpenAF/sh/refs/heads/main/README.md" in=mdtable inmdtablejoin=true path="[0]" out=ctable

116

πŸ“– Network | ASN

Retrieve an IP to ASN list list and converts it to ndjson

oafp cmd="curl https://api.iptoasn.com/data/ip2asn-combined.tsv.gz | gunzip" in=lines linesjoin=true path="[?length(@)>'0'].split(@,'\t').{start:[0],end:[1],asn:[2],area:[3],name:[4]}" out=ndjson

117

πŸ“– Network | ASN

Retrieve the list of ASN number and names from RIPE and transforms it to a CSV.

oafp url="https://ftp.ripe.net/ripe/asnames/asn.txt" in=lines linesjoin=true path="[?length(@)>'0'].split(@,' ').{asn:[0],name:join(' ',[1:])}" out=csv

118

πŸ“– Network | Latency

Given a host and a port will display a continuously updating line chart with network latency, in ms, between the current device and the target host and port

HOST=1.1.1.1 && PORT=53 && oafp in=oaf data="ow.loadNet().testPortLatency('$HOST',$PORT)" out=chart chart="int @:red:latencyMS -min:0" loop=1 loopcls=true

119

πŸ“– Ollama | List models

Parses the list of models currently in an Ollama deployment

export OAFP_MODEL="(type: ollama, model: 'llama3', url: 'https://models.local', timeout: 900000)"
oafp in=llmmodels data="()" out=ctable path="[].{name:name,parameters:details.parameter_size,quantization:details.quantization_level,format:details.format,family:details.family,parent:details.parent,size:size}" sql="select * order by parent,family,format,parameters,quantization"

120

πŸ“– OpenAF | Channels

Copy the json result of a command into an etcd database using OpenAF's channels

oaf -c "\$o(io.listFiles('.').files,{__format:'json'})" | oafp out=ch ch="(type: etcd3, options: (host: localhost, port: 2379), lib: 'etcd3.js')" chkey=canonicalPath

121

πŸ“– OpenAF | Channels

Getting all data stored in an etcd database using OpenAF's channels

echo "" | oafp in=ch inch="(type: etcd3, options: (host: localhost, port: 2379), lib: 'etcd3.js')" out=ctable

122

πŸ“– OpenAF | Channels

Given a Prometheus database will query for a specific metric (go_memstats_alloc_bytes), during a defined period, every 5 seconds (step) will produce a static chart with the corresponding metric values.

URL="http://localhost:9090" && METRIC="go_memstats_alloc_bytes" && TYPE="bytes" && LABELS="job=\"prometheus\"" && START="2024-06-18T20:00:00Z" && END="2024-06-18T20:15:00Z" && STEP=5 && echo "{query:'max($METRIC{$LABELS})',start:'$START',end:'$END',step:$STEP}" | oafp in=ch inch="(type:prometheus,options:(urlQuery:'$URL'))" inchall=true out=json | oafp path="[].set(@, 'main').map(&{metric:'$METRIC',job:get('main').metric.job,timestamp:to_date(mul([0],\`1000\`)),value:to_number([1])}, values) | []" out=schart schart="$TYPE '[].value':green:$METRIC -min:0"

123

πŸ“– OpenAF | Channels

Perform a query to a metric & label, with a start and end time, to a Prometheus server using OpenAF's channels

oafp in=ch inch="(type:prometheus,options:(urlQuery:'http://prometheus.local'))" inchall=true data="(start:'2024-03-22T19:00:00.000Z',end:'2024-03-22T19:05:00.000Z',step:60,query:go_memstats_alloc_bytes_total{job=\"prometheus\"})" path="[].values[].{date:to_date(mul([0],to_number('1000'))),value:[1]}" out=ctable

124

πŸ“– OpenAF | Channels

Retrieve all keys stores in a H2 MVStore file using OpenAF's channels

echo "" | oafp in=ch inch="(type: mvs, options: (file: data.db))" out=ctable

125

πŸ“– OpenAF | Channels

Store and retrieve data from a Redis database

# Install rocksdb opack: 'opack install redis'
#
# Storing data
oafp cmd="oaf -c \"sprint(listFilesRecursive('/usr/bin'))\"" out=ch ch="(type: redis, lib: redis.js, options: (host: '127.0.0.1', port: 6379))" chkey=canonicalPath
# Retrieve data
echo "" | oafp in=ch inch="(type: redis, lib: redis.js, options: (host: '127.0.0.1', port: 6379))" out=pjson

126

πŸ“– OpenAF | Channels

Store and retrieve data from a RocksDB database

# Install rocksdb opack: 'opack install rocksdb'
#
# Storing data
oafp cmd="oaf -c \"sprint(listFilesRecursive('/usr/bin'))\"" out=ch ch="(type: rocksdb, lib: rocksdb.js, options: (path: db))" chkey=canonicalPath
# Retrieve data
echo "" | oafp in=ch inch="(type: rocksdb, lib: rocksdb.js, options: (path: db))" out=pjson

127

πŸ“– OpenAF | Channels

Store the json results of a command into a H2 MVStore file using OpenAF's channels

oaf -c "\$o(listFilesRecursive('.'),{__format:'json'})" | oafp out=ch ch="(type: mvs, options: (file: data.db))" chkey=canonicalPath

128

πŸ“– OpenAF | Flags

List the current values of OpenAF/oAFp internal flags

oafp in=oaf data="__flags"

129

πŸ“– OpenAF | Network

Gets all the DNS host addresses for a provided domain and ensures that the output is always a list

DOMAIN="nattrmon.io" && oafp in=oaf data="ow.loadNet().getDNS('$DOMAIN','a',__,true)" path="if(type(@)=='array',[].Address.HostAddress,[Address.HostAddress]).map(&{ip:@},[])" out=ctable

130

πŸ“– OpenAF | Network

List all MX (mail servers) network addresses from the current DNS server for a hostname using OpenAF

DOMAIN=gmail.com && TYPE=MX && oaf -c "sprint(ow.loadNet().getDNS('$DOMAIN','$TYPE'))" | oafp from="sort(Address)" out=ctable

131

πŸ“– OpenAF | Network

List all network addresses returned from the current DNS server for a hostname using OpenAF

DOMAIN=yahoo.com && oaf -c "sprint(ow.loadNet().getDNS('$DOMAIN'))" | oafp from="sort(Address)" out=ctable

132

πŸ“– OpenAF | OS

Current OS information visible to OpenAF

oafp -v path=os

133

πŸ“– OpenAF | OS

Using OpenAF parse the current environment variables

oaf -c "sprint(getEnvs())" | oafp sortmapkeys=true out=ctree

134

πŸ“– OpenAF | OpenVPN

Using OpenAF code to perform a more complex parsing of the OpenVPN status data running on an OpenVPN container (nmaguiar/openvpn) called 'openvpn'

oafp in=oaf data='(function(){return(b=>{var a=b.split("\n"),c=a.indexOf("ROUTING TABLE"),d=a.indexOf("GLOBAL STATS"),f=a.indexOf("END");b=$csv().fromInString($path(a,`[2:${c}]`).join("\n")).toOutArray();var g=$csv().fromInString($path(a,`[${c+1}:${d}]`).join("\n")).toOutArray();a=$csv().fromInString($path(a,`[${d+1}:${f}]`).join("\n")).toOutArray();return{list:b.map(e=>merge(e,$from(g).equals("Common Name",e["Common Name"]).at(0))),stats:a}})($sh("docker exec openvpn cat /tmp/openvpn-status.log").get(0).stdout)})()' path="list[].{user:\"Common Name\",ip:split(\"Real Address\",':')[0],port:split(\"Real Address\",':')[1],vpnAddress:\"Virtual Address\",bytesRx:to_bytesAbbr(to_number(\"Bytes Received\")),bytesTx:to_bytesAbbr(to_number(\"Bytes Sent\")),connectedSince:to_datef(\"Connected Since\",'yyyy-MM-dd HH:mm:ss'),lastReference:to_datef(\"Last Ref\",'yyyy-MM-dd HH:mm:ss')}" sql="select * order by lastReference" out=ctable

135

πŸ“– OpenAF | SFTP

Generates a file list with filepath, size, permissions, create and last modified time from a SFTP connection with user and password

HOST="my.server" && PORT=22 && LOGIN="user" && PASS=$"abc123" && LSPATH="." && oaf -c "sprint(\$ssh({host:'$HOST',login:'$LOGIN',pass:'$PASS'}).listFiles('$LSPATH'))" | oafp out=ctable path="[].{isDirectory:isDirectory,filepath:filepath,size:size,createTime:to_date(mul(createTime,\`1000\`)),lastModified:to_date(mul(lastModified,\`1000\`)),permissions:permissions}" from="sort(-isDirectory,filepath)"

136

πŸ“– OpenAF | SFTP

Generates a file list with filepath, size, permissions, create and last modified time from a SFTP connection with user, private key and password

HOST="my.server" && PORT=22 && PRIVID=".ssh/id_rsa" && LOGIN="user" && PASS=$"abc123" && LSPATH="." && oaf -c "sprint(\$ssh({host:'$HOST',login:'$LOGIN',pass:'$PASS',id:'$PRIVID'}).listFiles('$LSPATH'))" | oafp out=ctable path="[].{isDirectory:isDirectory,filepath:filepath,size:size,createTime:to_date(mul(createTime,\`1000\`)),lastModified:to_date(mul(lastModified,\`1000\`)),permissions:permissions}" from="sort(-isDirectory,filepath)"

137

πŸ“– OpenAF | TLS

List the TLS certificates of a target host with a sorted alternative names using OpenAF

DOMAIN=yahoo.com && oaf -c "sprint(ow.loadNet().getTLSCertificates('$DOMAIN',443))" | oafp path="[].{issuer:issuerDN,subject:subjectDN,notBefore:notBefore,notAfter:notAfter,alternatives:join(' | ',sort(map(&[1],nvl(alternatives,\`[]\`))))}" out=ctree

138

πŸ“– OpenAF | oJob.io

Parses ojob.io/news results into a clickable news title HMTL page.

ojob ojob.io/news/awsnews __format=json | oafp path="[].{title:replace(t(@,'[]()'),'\|','g','\\|'),date:date}" from="sort(-date)" out=mdtable | oafp in=md out=html

139

πŸ“– OpenAF | oJob.io

Retrieves the list of oJob.io's jobs and filters which start by 'ojob.io/news' to display them in a rectangle

oafp url="https://ojob.io/index.json" path="sort(init.l)[].replace(@,'^https://(.+)\.(yaml|json)$','','\$1')|[?starts_with(@, 'ojob.io/news')]" out=map

140

πŸ“– OpenAF | oPacks

Listing all currently accessible OpenAF's oPacks

oaf -c "sprint(getOPackRemoteDB())" | oafp maptoarray=true opath="[].{name:name,description:description,version:version}" from="sort(name)" out=ctable

141

πŸ“– OpenAF | oafp

Filter the OpenAF's oafp examples list by a specific word in the description

oafp url="https://ojob.io/oafp-examples.yaml" in=yaml out=template path=data templatepath=tmpl sql="select * where d like '%something%'"

142

πŸ“– OpenAF | oafp

List the OpenAF's oafp examples by category, sub-category and description

oafp url="https://ojob.io/oafp-examples.yaml" in=yaml path="data[].{category:c,subCategory:s,description:d}" from="sort(category,subCategory,description)" out=ctable

143

πŸ“– OpenVPN | List

When using the container nmaguiar/openvpn it's possible to convert the list of all clients order by expiration/end date

oafp cmd="docker exec openvpn ovpn_listclients" in=csv path="[].{name:name,begin:to_datef(begin,'MMM dd HH:mm:ss yyyy z'),end:to_datef(end,'MMM dd HH:mm:ss yyyy z'),status:status}" out=ctable sql="select * order by end desc"

144

πŸ“– Unix | Activity

Uses the Linux command 'last' output to build a table with user, tty, from and period of activity for Debian based Linuxs

oafp cmd="last" in=lines linesjoin=true path="[:-3]|[?contains(@,'no logout')==\`false\`&&contains(@,'system boot')==\`false\`].split_re(@,' \\s+').{user:[0],tty:[1],from:[2],period:join(' ',[3:])}" out=ctable

145

πŸ“– Unix | Activity

Uses the Linux command 'last' output to build a table with user, tty, from and period of activity for RedHat based Linuxs

last | sed '/^$/d;$d;$d' | oafp in=lines linesjoin=true path="[].split_re(@, '\\s+').{user: [0], tty: [1], from: [2], login_time: join(' ', [3:7])}" out=ctable

146

πŸ“– Unix | Alpine

List all installed packages in an Alpine system

apk list -I | oafp in=lines linesjoin=true path="[].replace(@,'(.+) (.+) {(.+)} \((.+)\) \[(.+)\]','','\$1|\$2|\$3|\$4').split(@,'|').{package:[0],arch:[1],source:[2],license:[3]}" out=ctable

147

πŸ“– Unix | Compute

Parses the Linux /proc/cpuinfo into an array

cat /proc/cpuinfo | sed "s/^$/---/mg" | oafp in=yaml path="[?not_null(@)]|[?type(processor)=='number']" out=ctree

148

πŸ“– Unix | Debian/Ubuntu

List all installed packages in a Debian/Ubuntu system

apt list --installed | sed "1d" | oafp in=lines linesjoin=true path="[].split(@,' ').{pack:split([0],'/')[0],version:[1],arch:[2]}" out=ctable

149

πŸ“– Unix | Envs

Converts the Linux envs command result into a table of environment variables and corresponding values

env | oafp in=ini path="map(&{key:@,value:to_string(get(@))},sort(keys(@)))" out=ctable

150

πŸ“– Unix | Files

Converting the Linux's /etc/os-release to SQL insert statements.

oafp cmd="cat /etc/os-release" in=ini outkey=release path="[@]" sql="select '$HOSTNAME' \"HOST\", *" out=sql sqlnocreate=true

151

πŸ“– Unix | Files

Converting the Unix's syslog into a json output.

cat syslog | oafp in=raw path="split(trim(@),'\n').map(&split(@, ' ').{ date: concat([0],concat(' ',[1])), time: [2], host: [3], process: [4], message: join(' ',[5:]) }, [])"

152

πŸ“– Unix | Files

Executes a recursive file list find command converting the result into a table.

LSPATH=/openaf && find $LSPATH -exec stat -c '{"t":"%F", "p": "%n", "s": %s, "m": "%Y", "e": "%A", "u": "%U", "g": "%G"}' {} \; | oafp in=ndjson ndjsonjoin=true path="[].{type:t,permissions:e,user:u,group:g,size:s,modifiedDate:to_date(mul(to_number(m),\`1000\`)),filepath:p}" from="sort(type,filepath)" out=ctable

153

πŸ“– Unix | Files

Parses the Linux /etc/passwd to a table order by uid and gid.

oafp cmd="cat /etc/passwd" in=csv inputcsv="(withHeader: false, withDelimiter: ':')" path="[].{user:f0,pass:f1,uid:to_number(f2),gid:to_number(f3),description:f4,home:f5,shell:f6}" out=json | oafp from="notStarts(user, '#').sort(uid, gid)" out=ctable

154

πŸ“– Unix | Generic

Creates, in unix, a data.ndjson file where each record is formatted from json files in /some/data

find /some/data -name "*.json" -exec oafp {} output=json \; > data.ndjson

155

πŸ“– Unix | Memory map

Given an Unix process will output a table with process's components memory address, size in bytes, permissions and owner

pmap 12345 | sed '1d;$d' | oafp in=lines linesjoin=true path="[].split_re(@, '\\s+').{address:[0],size:from_bytesAbbr([1]),perm:[2],owner:join('',[3:])}" out=ctable

156

πŸ“– Unix | Network

Loop over the current Linux active network connections

oafp cmd="netstat -tun | sed \"1d\"" in=lines linesvisual=true linesjoin=true linesvisualsepre="\\s+(\\?\!Address)" out=ctable loop=1

157

πŸ“– Unix | Network

Parse the Linux 'arp' command output

arp | oafp in=lines linesvisual=true linesjoin=true out=ctable

158

πŸ“– Unix | Network

Parse the Linux 'ip tcp_metrics' command

ip tcp_metrics | sed 's/^/target: /g' | sed 's/$/\n\n---\n/g' | sed 's/ \([a-z]*\) /\n\1: /g' | head -n -2 | oafp in=yaml path="[].{target:target,age:from_timeAbbr(replace(age,'[sec|\.]','','')),cwnd:cwnd,rtt:from_timeAbbr(rtt),rttvar:from_timeAbbr(rttvar),source:source}" sql="select * order by target" out=ctable

159

πŸ“– Unix | Network

Parse the result of the Linux route command

route | sed "1d" | oafp in=lines linesjoin=true linesvisual=true linesvisualsepre="\s+" out=ctable

160

πŸ“– Unix | OpenSuse

List all installed packages in an OpenSuse system or zypper based system

zypper se -is | egrep "^i" | oafp in=lines linesjoin=true path="[].split(@,'|').{name:[1],version:[2],arch:[3],repo:[4]}" out=ctable

161

πŸ“– Unix | RedHat

List all installed packages in a RedHat system or rpm based system (use rpm –querytags to list all fields available)

rpm -qa --qf "%{NAME}|%{VERSION}|%{PACKAGER}|%{VENDOR}|%{ARCH}\n" | oafp in=lines linesjoin=true path="[].split(@,'|').{package:[0],version:[1],packager:[2],vendor:[3],arch:[4]}" from="sort(package)" out=ctable

162

πŸ“– Unix | Storage

Converting the Unix's df output

df --output=target,fstype,size,used,avail,pcent | tail -n +2 | oafp in=lines linesjoin=true path="[].split_re(@, ' +').{filesystem:[0],type:[1],size:[2],used:[3],available:[4],use:[5]}" out=ctable

163

πŸ“– Unix | Storage

Parses the result of the Unix ls command

ls -lad --time-style="+%Y-%m-%d %H:%M" * | oafp in=lines path="map(&split_re(@,'\\s+').{permissions:[0],id:[1],user:[2],group:[3],size:[4],date:[5],time:[6],file:[7]},[])" linesjoin=true out=ctable

164

πŸ“– Unix | SystemCtl

Converting the Unix's systemctl list-timers

systemctl list-timers | head -n -3 | oafp in=lines linesvisual=true linesjoin=true out=ctable

165

πŸ“– Unix | SystemCtl

Converting the Unix's systemctl list-units

systemctl list-units | head -n -6 | oafp in=lines linesvisual=true linesjoin=true path="[].delete(@,'')" out=ctable

166

πŸ“– Unix | SystemCtl

Converting the Unix's systemctl list-units into an overview table

systemctl list-units | head -n -6 | oafp in=lines linesvisual=true linesjoin=true path="[].delete(@,'')" sql="select \"LOAD\", \"ACTIVE SUB\", count(1) as \"COUNT\" group by \"LOAD\", \"ACTIVE SUB\"" sqlfilter=advanced out=ctable

167

πŸ“– Unix | UBI

List all installed packages in an UBI system

microdnf repoquery --setopt=cachedir=/tmp --installed | oafp in=lines linesjoin=true path="[].replace(@,'(.+)\.(\w+)\.(\w+)\$','','\$1|\$2|\$3').split(@,'|').{package:[0],dist:[1],arch:[2]}" out=ctable

168

πŸ“– Unix | named

Converts a Linux's named log, for client queries, into a CSV

cat named.log | oafp in=lines linesjoin=true path="[?contains(@,' client ')==\`true\`].split(@,' ').{datetime:to_datef(concat([0],concat(' ',[1])),'dd-MMM-yyyy HH:mm:ss.SSS'),session:[3],sourceIP:replace([4],'(.+)#(\d+)','','\$1'),sourcePort:replace([4],'(.+)#(\d+)','','\$2'),target:replace([5],'\((.+)\):','','\$1'),query:join(' ',[6:])}" out=csv

169

πŸ“– Windows | Network

Output a table with the current route table using Windows' PowerShell

Get-NetRoute | ConvertTo-Json | .\oafp.bat path="[].{destination:DestinationPrefix,gateway:NextHop,interface:InterfaceAlias,metric:InterfaceMetric}" sql=select\ *\ order\ by\ interface,destination out=ctable

170

πŸ“– Windows | Network

Output a table with the list of network interfaces using Windows' PowerShell

Get-NetIPAddress | ConvertTo-Json | .\oafp.bat path="[].{ipAddress:IPAddress,prefixLen:PrefixLength,interface:InterfaceAlias}" sql=select\ *\ order\ by\ interface out=ctable

171

πŸ“– Windows | PnP

Output a table with USB/PnP devices using Windows' PowerShell

Get-PnpDevice -PresentOnly | ConvertTo-Csv -NoTypeInformation | .\oafp.bat in=csv path="[].{class:PNPClass,service:Service,name:FriendlyName,id:InstanceId,description:Description,deviceId:DeviceID,status:Status,present:Present}" sql=select\ *\ order\ by\ class,service out=ctable

172

πŸ“– Windows | Storage

Output a table with the attached disk information using Windows' PowerShell

Get-Disk | ConvertTo-Csv -NoTypeInformation | .\oafp.bat in=csv path="[].{id:trim(UniqueId),name:FriendlyName,isBoot:IsBoot,location:Location,size:to_bytesAbbr(to_number(Size)),allocSize:to_bytesAbbr(to_number(AllocatedSize)),sectorSize:LogicalSectorSize,phySectorSize:PhysicalSectorSize,numPartitions:NumberOfPartitions,partitioning:PartitionStyle,health:HealthStatus,bus:BusType,manufacturer:Manufacturer,model:Model,firmwareVersion:FirmwareVersion,serialNumber:SerialNumber}" out=ctable

173

πŸ“– XML | Maven

Given a Maven pom.xml parses the XML content to a colored table ordering by the fields groupId and artifactId.

oafp pom.xml path="project.dependencies.dependency" out=ctable sql="select * order by groupId, artifactId"