Estimating the state of the economy with finite

Finite mixture models assume the existence of a latent, unobserved variable that impacts the distribution from which the data are generated. This idea has numerous practical applications: for instance, stock prices might change according to some assumed model, but the parameters of this model are likely to be different during bull and bear markets. In this case, the latent variable is the state of the economy, a somewhat undefined term, but a very impactful one.

Fitting finite mixtures to data comprises estimating the parameters of the distributions from which the data might come, as well as the probability of coming from each of them. This allows us to quantify and estimate important but undefined and unobservable variables, such as the already mentioned state of the economy! It is no easy task, though, with the standard maximum likelihood approach. Luckily, the clever expectation-maximization (or EM) algorithm comes to rescue.

This article is split into three parts, discussing the following topics:

What the EM algorithm is, how it works, and how to implement it in Python.
How to apply it in practice to estimate the state of the economy.
Appendix: the math behind the EM algorithm for curious readers.

Let’s dive straight in!

The Expectation-Maximization algorithm

We will discuss the EM algorithm using some randomly generated data first. Let’s start with the data generating process. Let’s say our data might come from two different normal distributions. One is described by a mean of -4 and a standard deviation of 2. For the other, the parameters are 11 and 3, respectively.

The data we actually observe are a mixture of the above two, defined as

where Δ ∈ {0,1} with the probability 𝑝 of being 1. In our example, let’s set 𝑝 to 0.65. Consequently, if for a given data point Δ=1, it comes from the distribution 𝑑𝑎𝑡𝑎1, and if Δ=0, it comes from 𝑑𝑎𝑡𝑎2. Here, Δ is the latent variable we would not observe in reality which impacts the data generation process. Let’s generate some data according to this process and plot their histogram.

import numpy as np
	import pandas as pd
	from scipy.stats import norm
	import matplotlib.pyplot as plt
	import seaborn as sns

	data_1 = np.random.normal(-4, 2, 100),
	data_2 = np.random.normal(11, 3, 100)
	deltas = np.random.binomial(1, 0.65, 100)
	data = np.squeeze(deltas * data_1 + (1 - deltas) * data_2)

	sns.distplot(data, bins=15, kde=False, norm_hist=True)
	plt.show()
view raw
gaussian_mix_generated.py hosted with ❤ by GitHub

A quick look at the plot suggests the data might have arisen under a mixture of two normals. Hence, a finite mixture of two Gaussians seems to be the appropriate model for these data. Remember: all we observe is the data, and what we need to estimate are the parameters: 𝜇1, 𝜎1, 𝜇2, 𝜎2, and 𝑝, called the mixing probability, which is the probability of the data coming from one of the distributions — say the first one.

The likelihood of such data is very hard to maximize analytically. If you’d like to know why that’s the case, scroll down to the mathematical appendix. But there is another way — the EM algorithm. It’s a method providing the (possibly local) maximum of the log-likelihood function using an iterative two-step procedure:

Expectation (E) step,
Maximization (M) step.

In the E-step, we compute the so-called complete data likelihood function, based on the joint density of the data and the latent variable Δ. In the M-step, we maximize the expectation of this function. We repeat the two steps iteratively until the parameter estimates do not change anymore. All the mathematical derivations are relegated to the appendix below; for now, let me just offer you out-of-the-box formulas.

In the case of our mixture of two Gaussians, the E-step comprises computing the probability that 𝑝=1 given the other parameters, denoted as 𝑝𝑝1:

where 𝜙(𝑑𝑎𝑡𝑎;𝜇1,𝜎1) is the probability density of the data under the first distribution, a Gaussian with mean 𝜇1 and standard deviation 𝜎1. Let’s code it down:

# E-step: compute the conditional (posterior) probability that p = 1 (pp1), 
	# given the other parameters
	data_pdf_1 = norm.pdf(data, loc=mu_1, scale=sigma_1)
	data_pdf_2 = norm.pdf(data, loc=mu_2, scale=sigma_2)
	pp1 = (p * data_pdf_1) / (p * data_pdf_1 + (1 - p) * data_pdf_2)
view raw
EM_E_step.py hosted with ❤ by GitHub

The maximizing formulas applied in the M-step are as follows (scroll to the bottom for the derivations):

The formulas for 𝜇2 and 𝜎2 are the same, except that they use (1−𝑝𝑝1) in place of 𝑝𝑝1. Let’s translate it into Python:

# M-step: maximize the pp1 with respect to the parameters
	p = np.mean(pp1)
	mu_1 = np.sum(pp1 * data) / np.sum(pp1)
	mu_2 = np.sum((1 - pp1) * data) / np.sum((1 - pp1))
	sigma_1 = np.sqrt(np.sum(pp1 * (data - mu_1)**2) / np.sum(pp1))
	sigma_2 = np.sqrt(np.sum((1 - pp1) * (data - mu_2)**2) / np.sum((1 - pp1)))
view raw
EM_M_step.py hosted with ❤ by GitHub

As you see, the E-step conditions on the parameters 𝜇1, 𝜎1, 𝜇2, 𝜎2, and 𝑝 and the M-step updates them. To get it started, we need to initialize these parameters before we run the first E-step iteration. A popular choice is to set the means 𝜇 to any random data points drawn from the data, the standard deviations 𝜎 to the standard deviation of the data, and 𝑝 to 0.5:

# Initial guesses for the parameters
	mu_1 = np.random.choice(data)
	mu_2 = np.random.choice(data)
	sigma_1 = np.std(data)
	sigma_2 = np.std(data)
	p = 0.5
view raw
EM_init_params.py hosted with ❤ by GitHub

We have now coded the entire EM algorithm! Let’s put all this code together into a class called TwoGaussiansMixture() with a fit() method which takes data and num_iter as arguments, initializes the parameters and iterates through the E and M steps for num_iter iterations. The class will also have three other utility methods:

predict(), which takes some data x and produces the predicted PDF of our fitted Gaussian mixture for these data,
get_mixing_probability(), which takes some data x and returns the probability of coming from one of the distributions for each data point,
plot_predictions_on_data(), which plots the PDF produced by predict() on top of the histogram of the original data.

#data-science #statistics #time-series-analysis #algorithms

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Estimating the state of the economy with finite

I am Developer

1597487472

Country State City Dropdown list in PHP MySQL PHP

Here, i will show you how to populate country state city in dropdown list in php mysql using ajax.

Country State City Dropdown List in PHP using Ajax

You can use the below given steps to retrieve and display country, state and city in dropdown list in PHP MySQL database using jQuery ajax onchange:

Step 1: Create Country State City Table
Step 2: Insert Data Into Country State City Table
Step 3: Create DB Connection PHP File
Step 4: Create Html Form For Display Country, State and City Dropdown
Step 5: Get States by Selected Country from MySQL Database in Dropdown List using PHP script
Step 6: Get Cities by Selected State from MySQL Database in DropDown List using PHP script

https://www.tutsmake.com/country-state-city-database-in-mysql-php-ajax/

#country state city drop down list in php mysql #country state city database in mysql php #country state city drop down list using ajax in php #country state city drop down list using ajax in php demo #country state city drop down list using ajax php example #country state city drop down list in php mysql ajax

Dallin Baumbach

1617896520

Dance on Human Pose Estimation Using Artificial Intelligence

Dance on Human Pose Estimation Using Artificial Intelligence with Complete Tutorial & Source Code Download Free.

A Human Pose Skeleton speaks to the direction of an individual in a graphical organization. Basically, it is a bunch of directions that can be associated with depict the posture of the individual. Every co-ordinate within the skeleton is understood as a neighborhood or a joint, or a keypoint. A substantial association between two sections is known as a couple.

#projects #artificial intelligence #ai based dance on human pose estimation #dance on human pose estimation #dance on human pose estimation ai project #dance on human pose estimation using artificial intelligence #download code dance on human pose estimation ai project

I am Developer

1597487833

Country State City Drop Down List using Ajax in Laravel

Here, i will show you how to create dynamic depedent country state city dropdown list using ajax in laravel.

Country State City Dropdown List using Ajax in php Laravel

Follow Below given steps to create dynamic dependent country state city dropdown list with jQuery ajax in laravel:

Step 1: Install Laravel App
Step 2: Add Database Details
Step 3: Create Country State City Migration and Model File
Step 4: Add Routes For Country State City
Step 5: Create Controller For Fetch Country State City
Step 6: Create Blade File For Show Dependent Country State City in Dropdown
Step 7: Run Development Server

https://www.tutsmake.com/ajax-country-state-city-dropdown-in-laravel/

#how to create dynamic dropdown list using laravel dynamic select box in laravel #laravel-country state city package #laravel country state city drop down #dynamic dropdown country city state list in laravel using ajax #country state city dropdown list using ajax in php laravel #country state city dropdown list using ajax in laravel demo

Rupert Beatty

1670592011

How to Create Dynamic Dependent Dropdown with PostgreSQL PHP and AJAX

By auto-populating dropdown you can restrict users selection based on the parent dropdown selection.

Data is changed on child dropdowns every time selection is changed.

In this tutorial, I show how you can create dynamic dependent dropdown with PostgreSQL data using jQuery AJAX and PHP.

Table structure
Configuration
HTML
PHP
jQuery
Output
Conclusion

1. Table structure

I am using 3 tables in the example –

countries table (Store countries records) –

CREATE TABLE countries (
  id serial PRIMARY KEY,
  name varchar(80) NOT NULL
)

states table (Store states of the countries) –

CREATE TABLE states (
  id serial PRIMARY KEY,
  name varchar(80) NOT NULL,
  country_id bigint NOT NULL
)

cities table (Store cities of the states) –

CREATE TABLE cities (
  id serial PRIMARY KEY,
  name varchar(80) NOT NULL,
  state_id bigint NOT NULL
)

2. Configuration

Create a new config.php file.

Completed Code

<?php

$host = "localhost";
$user = "postgres";
$password = "root";
$dbname = "tutorial";
$con = pg_connect("host=$host dbname=$dbname user=$user password=$password");

if (!$con) {
   die('Connection failed.');
}

3. HTML

Fetch records from countries table and create 3 <select> elements –

First <select > element is to display fetched countries.
Second is use to display states based on country selection using jQuery AJAX, and
Third is use to display cities based on state selection using jQuery AJAX.

Completed Code

<?php
include "config.php";

$sql = "select * from countries order by name";
$result = pg_query($con, $sql);
?>
<table>
   <tr>
      <td>Country</td>
      <td>
         <select id="country">
            <option value="0" >– Select Country –</option>
            <?php
            while ($row = pg_fetch_assoc($result) ){

               $id = $row['id'];
               $name = $row['name'];

               echo "<option value='".$id."' >".$name."</option>";
            }
            ?>
         </select>
      </td>
   </tr>

   <tr>
      <td>State</td>
      <td>
         <select id="state" >
            <option value="0" >– Select State –</option>
         </select>
      </td>
   </tr>

   <tr>
      <td>City</td>
      <td>
         <select id="city" >
            <option value="0" >– Select City –</option>
         </select>
      </td>
   </tr>
</table>

4. PHP

Create ajaxfile.php file.

Handle 2 AJAX requests –

If $request == ‘getStates’ – Fetch records from states table according to $country_id value and assign to $result. Loop on $result and initialize $data Array with id and name keys.

Return $data in JSON format.

If $request == ‘getCities’ – Fetch records from cities table according to $state_id value and assign to $result. Loop on $result and initialize $data Array with id and name keys.

Return $data in JSON format.

Completed Code

<?php
include 'config.php';

$request = "";
if(isset($_POST['request'])){
   $request = $_POST['request'];
}

// Get states
if($request == 'getStates'){
   $country_id = 0;
   $result = array();$data = array();

   if(isset($_POST['country_id'])){
      $country_id = $_POST['country_id'];

      $sql = "select * from states where country_id=$1";
      $result = pg_query_params($con, $sql, array($country_id));

      while ($row = pg_fetch_assoc($result) ){

         $id = $row['id'];
         $name = $row['name'];

         $data[] = array(
            "id" => $id,
            "name" => $name
         );

      }
   }

   echo json_encode($data);
   die;

}

// Get cities
if($request == 'getCities'){
   $state_id = 0;
   $result = array();$data = array();

   if(isset($_POST['state_id'])){
      $state_id = $_POST['state_id'];

      $sql = "select * from cities where state_id=$1";
      $result = pg_query_params($con, $sql, array($state_id));

      while ($row = pg_fetch_assoc($result) ){

         $id = $row['id'];
         $name = $row['name'];

         $data[] = array(
            "id" => $id,
            "name" => $name
         );

      }
   }

   echo json_encode($data);
   die;
}

5. jQuery

Define change event on #country and #state.

country – If a country is selected then empty the #state, and #city dropdown. Send AJAX POST request to ajaxfile.php, pass {request: 'getStates', country_id: country_id} as data, and set dataType: 'json'.

On successful callback loop on response and add <option > in #state.

state – If a state is selected then empty the #city dropdown and send AJAX POST request to ajaxfile.php, pass {request: 'getCities', state_id: state_id} as data, and set dataType: 'json'.

On successful callback loop on response and add <option > in #city.

Completed Code

$(document).ready(function(){

   // Country
   $('#country').change(function(){

      // Country id
      var country_id = $(this).val();

      // Empty the dropdown
      $('#state').find('option').not(':first').remove();
      $('#city').find('option').not(':first').remove();

      // AJAX request
      $.ajax({
         url: 'ajaxfile.php',
         type: 'post',
         data: {request: 'getStates', country_id: country_id},
         dataType: 'json',
         success: function(response){

            var len = 0;
            if(response != null){
               len = response.length;
            }

            if(len > 0){
               // Read data and create <option >
               for(var i=0; i<len; i++){

                  var id = response[i].id;
                  var name = response[i].name;

                  var option = "<option value='"+id+"'>"+name+"</option>";

                  $("#state").append(option);
               }
            }
         }
      });
   });

   // Country
   $('#state').change(function(){

      // State id
      var state_id = $(this).val();

      // Empty the dropdown
      $('#city').find('option').not(':first').remove();

      // AJAX request
      $.ajax({
         url: 'ajaxfile.php',
         type: 'post',
         data: {request: 'getCities', state_id: state_id},
         dataType: 'json',
         success: function(response){

            var len = 0;
            if(response != null){
               len = response.length;
            }

            if(len > 0){
               // Read data and create <option >
               for(var i=0; i<len; i++){

                  var id = response[i].id;
                  var name = response[i].name;

                  var option = "<option value='"+id+"'>"+name+"</option>";

                  $("#city").append(option);
               }
            }

         }
      });
   });

});

6. Output

View Output

7. Conclusion

In the example, I am auto-populating two dropdowns but you can follow the same steps to add it on more dropdowns.

If data is not loading in the dropdown then use the browser network tab to debug.

If you found this tutorial helpful then don't forget to share.

Original article source at: https://makitweb.com/

#postgresql #php #ajax

Fabiola Auma

1667662080

Ansible FreeIPA: Ansible Roles and Modules for FreeIPA

FreeIPA Ansible collection

This repository contains Ansible roles and playbooks to install and uninstall FreeIPA servers, replicas and clients. Also modules for group, host, topology and user management.

Note: The Ansible playbooks and roles require a configured Ansible environment where the Ansible nodes are reachable and are properly set up to have an IP address and a working package manager.

Features

Server, replica and client deployment
Cluster deployments: Server, replicas and clients in one playbook
One-time-password (OTP) support for client installation
Repair mode for clients
Backup and restore, also to and from controller
Smartcard setup for servers and clients
Modules for automembership rule management
Modules for automount key management
Modules for automount location management
Modules for automount map management
Modules for config management
Modules for delegation management
Modules for dns config management
Modules for dns forwarder management
Modules for dns record management
Modules for dns zone management
Modules for group management
Modules for hbacrule management
Modules for hbacsvc management
Modules for hbacsvcgroup management
Modules for host management
Modules for hostgroup management
Modules for idrange management
Modules for location management
Modules for permission management
Modules for privilege management
Modules for pwpolicy management
Modules for role management
Modules for self service management
Modules for server management
Modules for service management
Modules for service delegation rule management
Modules for service delegation target management
Modules for sudocmd management
Modules for sudocmdgroup management
Modules for sudorule management
Modules for topology management
Modules for trust management
Modules for user management
Modules for vault management

Supported FreeIPA Versions

FreeIPA versions 4.6 and up are supported by all roles.

The client role supports versions 4.4 and up, the server role is working with versions 4.5 and up, the replica role is currently only working with versions 4.6 and up.

Supported Distributions

RHEL/CentOS 7.4+
Fedora 26+
Ubuntu
Debian 10+ (ipaclient only, no server or replica!)

Requirements

Controller

Ansible version: 2.8+ (ansible-freeipa is an Ansible Collection)
/usr/bin/kinit is required on the controller if a one time password (OTP) is used

Node

Supported FreeIPA version (see above)
Supported distribution (needed for package installation only, see above)

Limitations

External signed CA

External signed CA is now supported. But the currently needed two step process is an issue for the processing in a simple playbook.

Work is planned to have a new method to handle CSR for external signed CAs in a separate step before starting the server installation.

Usage

How to use ansible-freeipa

GIT repo

The simplest method for now is to clone this repository on the controller from github directly and to start the deployment from the ansible-freeipa directory:

git clone https://github.com/freeipa/ansible-freeipa.git
cd ansible-freeipa

You can use the roles directly within the top directory of the git repo, but to be able to use the management modules in the plugins subdirectory, you have to either adapt ansible.cfg or create links for the roles, modules or directories.

You can either adapt ansible.cfg:

roles_path   = /my/dir/ansible-freeipa/roles
library      = /my/dir/ansible-freeipa/plugins/modules
module_utils = /my/dir/ansible-freeipa/plugins/module_utils

Or you can link the directories:

ansible-freeipa/roles to ~/.ansible/
ansible-freeipa/plugins/modules to ~/.ansible/plugins/
ansible-freeipa/plugins/module_utils to ~/.ansible/plugins/

RPM package

There are RPM packages available for Fedora 29+. These are installing the roles and modules into the global Ansible directories for roles, plugins/modules and plugins/module_utils in the /usr/share/ansible directory. Therefore is it possible to use the roles and modules without adapting the names like it is done in the example playbooks.

Ansible Galaxy

This command will get the whole collection from galaxy:

ansible-galaxy collection install freeipa.ansible_freeipa

Installing collections using the ansible-galaxy command is only supported with ansible 2.9+.

The mazer tool can be used for to install the collection for ansible 2.8:

mazer install freeipa.ansible_freeipa

Ansible galaxy does not support the use of dash ('-') in a name and is automatically replacing this with an underscore ('_'). Therefore the name is ansible_freeipa. The ansible_freeipa collection will be placed in the directory ~/.ansible/collections/ansible_collections/freeipa/ansible_freeipa where it will be automatically be found for this user.

The needed adaptions of collection prefixes for modules and module_utils will be done with ansible-freeipa release 0.1.6 for galaxy.

Ansible inventory file

The most important parts of the inventory file is the definition of the nodes, settings and the management modules. Please remember to use Ansible Vault for passwords. The examples here are not using vault for better readability.

Master server

The master server is defined within the [ipaserver] group:

[ipaserver]
ipaserver.test.local

There are variables that need to be set like domain, realm, admin password and dm password. These can be set in the [ipaserver:vars] section:

[ipaserver:vars]
ipaadmin_password=ADMPassword1
ipadm_password=DMPassword1
ipaserver_domain=test.local
ipaserver_realm=TEST.LOCAL

The admin principal is admin by default. Please set ipaadmin_principal if you need to change it.

You can also add more setting here, like for example to enable the DNS server or to set auto-forwarders:

[ipaserver:vars]
ipaserver_setup_dns=yes
ipaserver_auto_forwarders=yes

But also to skip package installation or firewalld configuration:

[ipaserver:vars]
ipaserver_install_packages=no
ipaserver_setup_firewalld=no

The installation of packages and also the configuration of the firewall are by default enabled. Note that it is not enough to mask systemd firewalld service to skip the firewalld configuration. You need to set the variable to no.

For more server settings, please have a look at the server role documentation.

Replica

The replicas are defined within the [ipareplicas] group:

[ipareplicas]
ipareplica1.test.local
ipareplica2.test.local

If the master server is already deployed and there are DNS txt records to be able to auto-detect the server, then it is not needed to set domain or realm for the replica deployment. But it might be needed to set the master server of a replica because of the topology. If this is needed, it can be set either in the [ipareplicas:vars] section if it will apply to all the replicas in the [ipareplicas] group or it is possible to set this also per replica in the [ipareplicas] group:

[ipareplicas]
ipareplica1.test.local
ipareplica2.test.local ipareplica_servers=ipareplica1.test.local

This will create a chain from ipaserver.test.local <- ipareplica1.test.local <- ipareplica2.test.local.

If you need to set more than one server for a replica (for fallbacks etc.), simply use a comma separated list for ipareplica_servers:

[ipareplicas_tier1]
ipareplica1.test.local

[ipareplicas_tier2]
ipareplica2.test.local ipareplica_servers=ipareplica1.test.local,ipaserver.test.local

The first entry in ipareplica_servers will be used as the master.

In this case you need to have separate tasks in the playbook to first deploy replicas from tier1 and then replicas from tier2:

---
- name: Playbook to configure IPA replicas (tier1)
  hosts: ipareplicas_tier1
  become: true

  roles:
  - role: ipareplica
    state: present

- name: Playbook to configure IPA replicas (tier2)
  hosts: ipareplicas_tier2
  become: true

  roles:
  - role: ipareplica
    state: present

You can add settings for replica deployment:

[ipareplicas:vars]
ipaadmin_password=ADMPassword1
ipadm_password=DMPassword1
ipaserver_domain=test.local
ipaserver_realm=TEST.LOCAL

You can also add more setting here, like for example to setup DNS or to enable auto-forwarders:

[ipareplica:vars]
ipaserver_setup_dns=yes
ipaserver_auto_forwarders=yes

If you need to skip package installation or firewalld configuration:

[ipareplicas:vars]
ipareplica_install_packages=no
ipareplica_setup_firewalld=no

For more replica settings, please have a look at the replica role documentation.

Client

Clients are defined within the [ipaclients] group:

[ipaclients]
ipaclient1.test.local
ipaclient2.test.local
ipaclient3.test.local
ipaclient4.test.local

For simple setups or in defined client environments it might not be needed to set domain or realm for the replica deployment. But it might be needed to set the master server of a client because of the topology. If this is needed, it can be set either in the [ipaclients:vars} section if it will apply to all the clients in the [ipaclients] group or it is possible to set this also per client in the [ipaclients] group:

[ipaclients]
ipaclient1.test.local ipaclient_servers=ipareplica1.test.local
ipaclient2.test.local ipaclient_servers=ipareplica1.test.local
ipaclient3.test.local ipaclient_servers=ipareplica2.test.local
ipaclient4.test.local ipaclient_servers=ipareplica2.test.local

If you need to set more than one server for a client (for fallbacks etc.), simply use a comma separated list for ipaclient_servers.

You can add settings for client deployment:

[ipaclients:vars]
ipaadmin_password=ADMPassword1
ipaserver_domain=test.local
ipaserver_realm=TEST.LOCAL

For enhanced security it is possible to use a auto-generated one-time-password (OTP). This will be generated on the controller using the (first) server.

To enable the generation of the one-time-password:

[ipaclients:vars]
ipaclient_use_otp=yes

For more client settings, please have a look at the client role documentation.

Cluster

If you want to deploy more than a master server at once, then it will be good to define a new group like [ipacluster] that contains all the other groups [ipaserver], [ipareplicas] and [ipaclients]. This way it is not needed to set domain, realm, admin password or dm password for the single groups:

[ipacluster:children]
ipaserver
ipareplicas
ipaclients

[ipacluster:vars]
ipaadmin_password=ADMPassword1
ipadm_password=DMPassword1
ipaserver_domain=test.local
ipaserver_realm=TEST.LOCAL

All these settings will be available in the [ipaserver], [ipareplicas] and [ipaclient] groups.

Topology

With this playbook it is possible to add a list of topology segments using the ipatopologysegment module.

---
- name: Add topology segments
  hosts: ipaserver
  become: true
  gather_facts: false

  vars:
    ipaadmin_password: password1
    ipatopology_segments:
    - {suffix: domain, left: replica1.test.local, right: replica2.test.local}
    - {suffix: domain, left: replica2.test.local, right: replica3.test.local}
    - {suffix: domain, left: replica3.test.local, right: replica4.test.local}
    - {suffix: domain+ca, left: replica4.test.local, right: replica1.test.local}

  tasks:
  - name: Add topology segment
    ipatopologysegment:
      password: "{{ ipaadmin_password }}"
      suffix: "{{ item.suffix }}"
      name: "{{ item.name | default(omit) }}"
      left: "{{ item.left }}"
      right: "{{ item.right }}"
      #state: present
      #state: absent
      #state: checked
      state: reinitialized
    loop: "{{ ipatopology_segments | default([]) }}"

Playbooks

The playbooks needed to deploy or undeploy servers, replicas and clients are part of the repository and placed in the playbooks folder. There are also playbooks to deploy and undeploy clusters. With them it is only needed to add an inventory file:

playbooks\
        install-client.yml
        install-cluster.yml
        install-replica.yml
        install-server.yml
        uninstall-client.yml
        uninstall-cluster.yml
        uninstall-replica.yml
        uninstall-server.yml

How to deploy a master server

ansible-playbook -v -i inventory/hosts install-server.yml

This will deploy the master server defined in the inventory file.

If Ansible Vault is used for passwords, then it is needed to adapt the playbooks in this way:

---
- name: Playbook to configure IPA servers
  hosts: ipaserver
  become: true
  vars_files:
  - playbook_sensitive_data.yml

  roles:
  - role: ipaserver
    state: present

It is also needed to provide the vault password file on the ansible-playbook command line:

ansible-playbook -v -i inventory/hosts --vault-password-file .vaul_pass.txt install-server.yml

How to deploy a replica

ansible-playbook -v -i inventory/hosts install-replica.yml

This will deploy the replicas defined in the inventory file.

How to setup a client

ansible-playbook -v -i inventory/hosts install-client.yml

This will deploy the clients defined in the inventory file.

How to deploy a cluster

ansible-playbook -v -i inventory/hosts install-cluster.yml

This will deploy the server, replicas and clients defined in the inventory file.

Roles

Modules in plugin/modules

If you want to write a new module please read writing a new module.

Download Details:

Author: freeipa
Source Code: https://github.com/freeipa/ansible-freeipa

License: GPL-3.0 license

#ansible

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Contents

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2. Configuration

3. HTML

4. PHP

5. jQuery

6. Output

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Ansible FreeIPA: Ansible Roles and Modules for FreeIPA

FreeIPA Ansible collection

Features

Supported FreeIPA Versions

Supported Distributions

Requirements

Limitations

How to use ansible-freeipa

Ansible inventory file

How to deploy a master server

How to deploy a replica

How to setup a client

How to deploy a cluster

Download Details: