The Teachers table maintains information about instructors, including their personal and professional details.

The Courses table captures the details of educational offerings, including their scope, duration, and prerequisites.

The Skills table records competencies attributed to teachers.

The Materials table inventories resources linked to courses.

• Teachers to Courses: One-to-Many (Each teacher can teach multiple courses; each course is assigned to one teacher).
• Teachers to Skills: Many-to-Many (Multiple teachers can share skills, and one teacher may have multiple skills).
• Courses to Materials: Many-to-Many (A course may include multiple materials, and the same material can be used in different courses).

After launching the web application, locate the Schema Builder menu on the homepage to start defining your schema.

Example Configuration

1. Navigate to the Entities section of the Schema Builder.
2. Create entities such as "Teacher" and "Course."
3. For the Course entity, add attributes such as name, status, level, and description.

Example Configuration

To establish a many-to-one relationship between the Course and Teacher entities, you can include a Lookup attribute in the Course entity. This allows selecting a single Teacher record when adding or updating a Course.

Description: When a course is created or modified, a teacher record can be looked up and linked to the course.

To establish a many-to-many relationship between the Course and Material entities, use a Junction attribute in the Course entity. This enables associating multiple materials with a single course.

Description: When managing a course, you can select multiple material records from the Material table to associate with the course.

Example Course List Page
The List Page displays entities in a tabular format, enabling sorting, searching, and pagination. Users can efficiently browse or locate specific records.

Example Course Detail Page
The Detail Page provides an interface for viewing and managing detailed attributes. Related data such as teachers and materials can be selected or modified.

To get started, launch the web application and navigate to /graph. You can also try our online demo.

For each entity in FluentCMS, two GraphQL fields are automatically generated:

• <entityName>: Returns a record.
• <entityNameList>: Returns a list of records.

**Single Course **

{
  course {
    id
    name
  }
}

Try it here

**List of Courses **

{
  courseList {
    id
    name
  }
}

Try it here

You can query specific fields for both the current entity and its related entities. Example Query:

{
  courseList{
    id
    name
    teacher{
      id
      firstname
      lastname
      skills{
        id
        name
      }
    }
    materials{
      id,
      name
    }
  }
}

Try it here

FluentCMS provides flexible filtering capabilities using the idSet field (or any other field), enabling precise data queries by matching either a single value or a list of values.

Filter by a Single Value Example:

{
  courseList(idSet: 5) {
    id
    name
  }
}

Try it here

Filter by Multiple Values Example:

{
  courseList(idSet: [5, 7]) {
    id
    name
  }
}

Try it here

FluentCMS supports advanced filtering options with Operator Match, allowing users to combine various conditions for precise queries.

Filters where all specified conditions must be true.
In this example: id > 5 and id < 15.

{
  courseList(id: {matchType: matchAll, gt: 5, lt: 15}) {
    id
    name
  }
}

Try it here

Filters where at least one of the conditions must be true.
In this example: name starts with "A" or name starts with "I".

{
  courseList(name: [{matchType: matchAny}, {startsWith: "A"}, {startsWith: "I"}]) {
    id
    name
  }
}

Try it here

Filter Expressions allow precise filtering by specifying a field, including nested fields using JSON path syntax. This enables filtering on subfields for complex data structures.

Example: Filter by Teacher's Last Name This query returns courses taught by a teacher whose last name is "Circuit."

{
  courseList(filterExpr: {field: "teacher.lastname", clause: {equals: "Circuit"}}) {
    id
    name
    teacher {
      id
      lastname
    }
  }
}

Try it here

Sorting by a single field

{
  courseList(sort:nameDesc){
    id,
    name
  }
}

Try it here

Sorting by multiple fields

{
  courseList(sort:[level,id]){
    id,
    level
    name
  }
}

Try it here

Sort Expressions allow sorting by nested fields using JSON path syntax.

Example: Sort by Teacher's Last Name

{
  courseList(sortExpr:{field:"teacher.lastname", order:Desc}) {
    id
    name
    teacher {
      id
      lastname
    }
  }
}

Try it here

Pagination on root field

{
  courseList(offset:2, limit:3){
    id,
    name
  }
}

Try it here
Pagination on sub field

{
  courseList{
    id,
    name
    materials(limit:2){
      id,
      name
    }
  }
}

Try it here

Variables are used to make queries more dynamic, reusable, and secure.

query ($id: Int!) {
  teacher(idSet: [$id]) {
    id
    firstname
    lastname
  }
}

Try it here

query ($id: Int!) {
  teacherList(id:{equals:$id}){
    id
    firstname
    lastname
  }
}

Try it here

query ($years: String) {
  teacherList(filterExpr:{field:"skills.years",clause:{gt:$years}}){
    id
    firstname
    lastname
    skills{
      id
      name
      years
    }
  }
}

Try it here

query ($sort_field:TeacherSortEnum) {
  teacherList(sort:[$sort_field]) {
    id
    firstname
    lastname
  }
}

Try it here

query ($sort_order:  SortOrderEnum) {
  courseList(sortExpr:{field:"teacher.id", order:$sort_order}){
    id,
    name,
    teacher{
      id,
      firstname
    }
  }
}

Try it here

query ($offset:Int) {
  teacherList(limit:2, offset:$offset) {
    id
    firstname
    lastname
  }
}

Try it here

If you want a variable to be mandatory, you can add a ! to the end of the type

query ($id: Int!) {
  teacherList(id:{equals:$id}){
    id
    firstname
    lastname
  }
}

Try it here

Explore the power of FluentCMS GraphQL and streamline your development workflow!

Realtime queries may expose excessive technical details, potentially leading to security vulnerabilities.

Saved Queries address this issue by abstracting the GraphQL query details. They allow clients to provide only variables, enhancing security while retaining full functionality.

In FluentCMS, the Operation Name in a GraphQL query serves as a unique identifier for saved queries. For instance, executing the following query automatically saves it as TeacherQuery:

query TeacherQuery($id: Int) {
  teacherList(idSet: [$id]) {
    id
    firstname
    lastname
    skills {
      id
      name
    }
  }
}

Try it here

FluentCMS generates two API endpoints for each saved query:

1. List Records:
   https://fluent-cms-admin.azurewebsites.net/api/queries/TeacherQuery

2. Single Record:
   https://fluent-cms-admin.azurewebsites.net/api/queries/TeacherQuery/single/

The Saved Query API allows passing variables via query strings:

• Single Value:
  https://fluent-cms-admin.azurewebsites.net/api/queries/TeacherQuery/?id=3

• Array of Values:
  https://fluent-cms-admin.azurewebsites.net/api/queries/TeacherQuery?id=3&id=4
  This passes [3, 4] to the idSet argument.

Beyond performance and security improvements, Saved Query introduces enhanced functionalities to simplify development workflows.

Built-in variables offset and limit enable efficient pagination. For example:
https://fluent-cms-admin.azurewebsites.net/api/queries/TeacherQuery?limit=2&offset=2

To display a limited number of subfield items (e.g., the first two skills of a teacher), use the JSON path variable, such as skills.limit:
https://fluent-cms-admin.azurewebsites.net/api/queries/TeacherQuery?skills.limit=2

For large datasets, offset pagination can strain the database. For example, querying with offset=1000&limit=10 forces the database to retrieve 1010 records and discard the first 1000.

To address this, Saved Query supports cursor-based pagination, which reduces database overhead.
Example response for https://fluent-cms-admin.azurewebsites.net/api/queries/TeacherQuery?limit=3:

[
  {
    "hasPreviousPage": false,
    "cursor": "eyJpZCI6M30"
  },
  {
  },
  {
    "hasNextPage": true,
    "cursor": "eyJpZCI6NX0"
  }
]

• If hasNextPage of the last record is true, use the cursor to retrieve the next page:
  https://fluent-cms-admin.azurewebsites.net/api/queries/TeacherQuery?limit=3&last=eyJpZCI6NX0

• Similarly, if hasPreviousPage of the first record is true, use the cursor to retrieve the previous page:
  https://fluent-cms-admin.azurewebsites.net/api/queries/TeacherQuery?limit=3&first=eyJpZCI6Nn0

Subfields also support cursor-based pagination. For instance, querying https://fluent-cms-admin.azurewebsites.net/api/queries/TeacherQuery?skills.limit=2 returns a response like this:

[
  {
    "id": 3,
    "firstname": "Jane",
    "lastname": "Debuggins",
    "hasPreviousPage": false,
    "skills": [
      {
        "hasPreviousPage": false,
        "cursor": "eyJpZCI6MSwic291cmNlSWQiOjN9"
      },
      {
        "hasNextPage": true,
        "cursor": "eyJpZCI6Miwic291cmNlSWQiOjN9"
      }
    ],
    "cursor": "eyJpZCI6M30"
  }
]

To fetch the next two skills, use the cursor:
https://fluent-cms-admin.azurewebsites.net/api/queries/TeacherQuery/part/skills?limit=2&last=eyJpZCI6Miwic291cmNlSWQiOjN9

A landing page is typically the first page a visitor sees.

• URL format: /page/<pagename>
• Structure: Comprised of multiple sections, each section retrieves data via a query.

Example:
Landing Page
This page fetches data from:

• https://fluent-cms-admin.azurewebsites.net/api/queries/course/?status=featured
• https://fluent-cms-admin.azurewebsites.net/api/queries/course/?level=Advanced

A detail page provides specific information about an item.

• URL format: /page/<pagename>/<router parameter>
• Data Retrieval: FluentCMS fetches data by passing the router parameter to a query.

Example:
Course Detail Page
This page fetches data from:
https://fluent-cms-admin.azurewebsites.net/api/queries/course/one?course_id=22

The homepage is a special type of landing page named home.

• URL format: /pages/home
• Special Behavior: If no other route matches the path /, FluentCMS renders /pages/home by default.

Example:
The URL / will be resolved to /pages/home unless explicitly overridden.

Understanding the panels in GrapesJS is crucial for leveraging FluentCMS's customization capabilities in the Page Designer UI. This section explains the purpose of each panel and highlights how FluentCMS enhances specific areas to streamline content management and page design.

1. Style Manager:

   • Used to customize CSS properties of elements selected on the canvas.
   • FluentCMS Integration: This panel is left unchanged by FluentCMS, as it already provides powerful styling options.

2. Traits Panel:

   • Allows modification of attributes for selected elements.
   • FluentCMS Integration: Custom traits are added to this panel, enabling users to bind data to components dynamically.

3. Layers Panel:

   • Displays a hierarchical view of elements on the page, resembling a DOM tree.
   • FluentCMS Integration: While FluentCMS does not alter this panel, it’s helpful for locating and managing FluentCMS blocks within complex page designs.

4. Blocks Panel:

   • Contains pre-made components that can be dragged and dropped onto the page.
   • FluentCMS Integration: FluentCMS enhances this panel by adding custom-designed blocks tailored for its CMS functionality.

By familiarizing users with these panels and their integration points, this chapter ensures a smoother workflow and better utilization of FluentCMS's advanced page-building tools.

FluentCMS leverages Handlebars expressions for dynamic data binding in pages and components.

Singleton fields are enclosed within {{ }} to dynamically bind individual values.

• Example Page Settings: Page Schema Settings
• Example Query: Retrieve Course Data
• Example Rendered Page: Rendered Course Page

Handlebars supports iterating over arrays using the {{#each}} block for repeating data structures.

{{#each course}}
    <li>{{title}}</li>
{{/each}}

In FluentCMS, you won’t explicitly see the {{#each}} statement in the Page Designer. If a block's data source is set to data-list, FluentCMS automatically generates the loop.

• Example Page Settings: Page Schema Settings
• Example Rendered Page: Rendered List Page
• Example Queries:
  • Featured Courses
  • Advanced Level Courses

To bind a Data List to a component, follow these steps:

1. Drag a block from the Data List category in the Page Designer.
2. Open the Layers Panel and select the Data List component.
3. In the Traits Panel, configure the following fields:

• Home Page (home): The main entry point, featuring sections like Featured Courses and Advanced Courses. Each course links to its respective Course Details page.
• Course Details (course/{course_id}): Offers detailed information about a specific course and includes links to the Teacher Details page.
• Teacher Details (teacher/{teacher_id}): Highlights the instructor’s profile and includes a section displaying their latest courses, which link back to the Course Details page.

             Home Page
                 |
                 |
       +-------------------+
       |                   |
       v                   v
 Latest Courses       Course Details 
       |                   |        
       |                   |       
       v                   v            
Course Details <-------> Teacher Details 

1. Drag and Drop Components: Use the Fluent CMS page designer to drag a Content-B component.
2. Set Data Source: Assign the component's data source to the course query.
3. Link Course Items: Configure the link for each course to /pages/course/{{id}}. The Handlebars expression {{id}} is dynamically replaced with the actual course ID during rendering.

1. Page Setup: Name the page course/{course_id} to capture the course_id parameter from the URL (e.g., /pages/course/20).
2. Query Configuration: The variable {course_id:20} is passed to the course query, generating a WHERE id IN (20) clause to fetch the relevant course data.
3. Linking to Teacher Details: Configure the link for each teacher item on this page to /pages/teacher/{{teacher.id}}. Handlebars dynamically replaces {{teacher.id}} with the teacher’s ID. For example, if a teacher object has an ID of 3, the link renders as /pages/teacher/3.

1. Page Setup: Define the page as teacher/{teacher_id} to capture the teacher_id parameter from the URL.
2. Set Data Source: Assign the teacher query as the page’s data source.

• Drag a ECommerce A component onto the page.
• Set its data source to the course query, filtered by the teacher’s ID (WHERE teacher IN (3)).

When rendering the page, the PageService automatically passes the teacher_id (e.g., {teacher_id: 3}) to the query.

For detailed information on ASP.NET Core caching, visit the official documentation: ASP.NET Core Caching Overview.

Fluent CMS automatically invalidates schema caches whenever schema changes are made. The schema cache consists of two types:

1. Entity Schema Cache
   Caches all entity definitions required to dynamically generate GraphQL types.

2. Query Schema Cache
   Caches query definitions, including dependencies on multiple related entities, to compose efficient SQL queries.

By default, schema caching is implemented using IMemoryCache. However, you can override this by providing a HybridCache. Below is a comparison of the two options:

• Advantages:
  • Simple to debug and deploy.
  • Ideal for single-node web applications.
• Disadvantages:
  • Not suitable for distributed environments. Cache invalidation on one node (e.g., Node A) does not propagate to other nodes (e.g., Node B).

• Key Features:
  • Scalability: Combines the speed of local memory caching with the consistency of distributed caching.
  • Stampede Resolution: Effectively handles cache stampede scenarios, as verified by its developers.
• Limitations:
  The current implementation lacks "Backend-Assisted Local Cache Invalidation," meaning invalidation on one node does not instantly propagate to others.
• Fluent CMS Strategy:
  Fluent CMS mitigates this limitation by setting the local cache expiration to 20 seconds (one-third of the distributed cache expiration, which is set to 60 seconds). This ensures cache consistency across nodes within 20 seconds, significantly improving upon the typical 60-second delay in memory caching.

To implement a HybridCache, use the following code:

builder.AddRedisDistributedCache(connectionName: CmsConstants.Redis);
builder.Services.AddHybridCache();

Fluent CMS does not automatically invalidate data caches. Instead, it leverages ASP.NET Core's output caching for a straightforward implementation. Data caching consists of two types:

1. Query Data Cache
   Caches the results of queries for faster access.

2. Page Cache
   Caches the output of rendered pages for quick delivery.

By default, output caching is disabled in Fluent CMS. To enable it, configure and inject the output cache as shown below:

builder.Services.AddOutputCache(cacheOption =>
{
    cacheOption.AddBasePolicy(policyBuilder => policyBuilder.Expire(TimeSpan.FromMinutes(1)));
    cacheOption.AddPolicy(CmsOptions.DefaultPageCachePolicyName,
        b => b.Expire(TimeSpan.FromMinutes(2)));
    cacheOption.AddPolicy(CmsOptions.DefaultQueryCachePolicyName,
        b => b.Expire(TimeSpan.FromSeconds(1)));
});

// After builder.Build();
app.UseOutputCache();

A scalable deployment of Fluent CMS involves multiple web application nodes, a Redis server for distributed caching, and a database server, all behind a load balancer.

                 +------------------+
                 |  Load Balancer   |
                 +------------------+
                          |
        +-----------------+-----------------+
        |                                   |
+------------------+              +------------------+
|    Web App 1     |              |    Web App 2     |
|   +-----------+  |              |   +-----------+  |
|   | Local Cache| |              |   | Local Cache| |
+------------------+              +------------------+
        |                                   |
        |                                   |
        +-----------------+-----------------+
                 |                       |
       +------------------+    +------------------+
       | Database Server  |    |   Redis Server   |
       +------------------+    +------------------+

Example Web project on GitHub
Example Aspire project on GitHub

To emulate the production environment locally, Fluent CMS leverages Aspire. Here's an example setup:

var builder = DistributedApplication.CreateBuilder(args);

// Adding Redis and PostgreSQL services
var redis = builder.AddRedis(name: CmsConstants.Redis);
var db = builder.AddPostgres(CmsConstants.Postgres);

// Configuring the web project with replicas and references
builder.AddProject<Projects.FluentCMS_Blog>(name: "web")
    .WithEnvironment(CmsConstants.DatabaseProvider, CmsConstants.Postgres)
    .WithReference(redis)
    .WithReference(db)
    .WithReplicas(2);

builder.Build().Run();

1. Simplified Configuration:
   No need to manually specify endpoints for the database or Redis servers. Configuration values can be retrieved using:

   builder.Configuration.GetValue<string>();
   builder.Configuration.GetConnectionString();

2. Realistic Testing:
   The local environment mirrors the production architecture, ensuring seamless transitions during deployment.

By adopting these caching and deployment strategies, Fluent CMS ensures improved performance, scalability, and ease of configuration.

ASP.NET Core's output caching reduces database access when repeated queries are performed. However, its effectiveness is limited when dealing with numerous distinct queries:

1. The application server consumes excessive memory to cache data. The same list might be cached multiple times in different orders.
2. The database server experiences high load when processing numerous distinct queries simultaneously.

For the query below, FluentCMS joins the post, tag, category, and author tables:

query post_sync($id: Int) {
  postList(idSet: [$id], sort: id) {
    id, title, body, abstract
    tag {
      id, name
    }
    category {
      id, name
    }
    author {
      id, name
    }
  }
}

By saving each post along with its related data as a single document in a document database, such as MongoDB, several improvements are achieved:

• Reduced database server load since data retrieval from multiple tables is eliminated.
• Reduced application server processing, as merging data is no longer necessary.

Using K6 scripts with 1,000 virtual users concurrently accessing the query API, the performance difference between PostgreSQL and MongoDB was tested, showing MongoDB to be significantly faster:

export default function () {
    const id = Math.floor(Math.random() * 1000000) + 1; // Random id between 1 and 1,000,000
    /* PostgreSQL */
    // const url = `http://localhost:5091/api/queries/post_sync/?id=${id}`;

    /* MongoDB */
    const url = `http://localhost:5091/api/queries/post/?id=${id}`;

    const res = http.get(url);

    check(res, {
        'is status 200': (r) => r.status === 200,
        'response time is < 200ms': (r) => r.timings.duration < 200,
    });
}
/*
MongoDB:
     http_req_waiting...............: avg=50.8ms   min=774µs    med=24.01ms max=3.23s    p(90)=125.65ms p(95)=211.32ms
PostgreSQL:
     http_req_waiting...............: avg=5.54s   min=11.61ms med=4.08s max=44.67s  p(90)=13.45s  p(95)=16.53s
*/

To enable publishing messages to the Message Broker, use Aspire to add a NATS resource. Detailed documentation is available in Microsoft Docs.

Add the following line to the Aspire HostApp project:

builder.AddNatsClient(AppConstants.Nats);

Add the following lines to the WebApp project:

builder.AddNatsClient(AppConstants.Nats);
var entities = builder.Configuration.GetRequiredSection("TrackingEntities").Get<string[]>()!;
builder.Services.AddNatsMessageProducer(entities);

FluentCMS publishes events for changes made to entities listed in appsettings.json:

{
  "TrackingEntities": [
    "post"
  ]
}

Add the following to the Worker App:

var builder = Host.CreateApplicationBuilder(args);

builder.AddNatsClient(AppConstants.Nats);
builder.AddMongoDBClient(AppConstants.MongoCms);

var apiLinksArray = builder.Configuration.GetRequiredSection("ApiLinksArray").Get<ApiLinks[]>()!;
builder.Services.AddNatsMongoLink(apiLinksArray);

Define the ApiLinksArray in appsettings.json to specify entity changes and the corresponding query API:

{
  "ApiLinksArray": [
    {
      "Entity": "post",
      "Api": "http://localhost:5001/api/queries/post_sync",
      "Collection": "post",
      "PrimaryKey": "id"
    }
  ]
}

When changes occur to the post entity, the Worker Service calls the query API to retrieve aggregated data and saves it as a document.

After adding a new entry to ApiLinksArray, the Worker App will perform a migration from the start to populate the Document DB.

To enable MongoDB queries in your WebApp, use the Aspire MongoDB integration. Details are available in Microsoft Docs.

Add the following code to your WebApp:

builder.AddMongoDBClient(connectionName: AppConstants.MongoCms);
var queryLinksArray = builder.Configuration.GetRequiredSection("QueryLinksArray").Get<QueryLinks[]>()!;
builder.Services.AddMongoDbQuery(queryLinksArray);

Define QueryLinksArray in appsettings.json to specify MongoDB queries:

{
  "QueryLinksArray": [
    { "Query": "post", "Collection": "post" },
    { "Query": "post_test_mongo", "Collection": "post" }
  ]
}

The WebApp will now query MongoDB directly for the specified collections.

1. Create a New ASP.NET Core Web Application.

2. Add the FluentCMS NuGet Package: To add Fluent CMS, run the following command:

   dotnet add package FluentCMS
   

3. Modify Program.cs: Add the following line before builder.Build() to configure the database connection (use your actual connection string):

   builder.AddSqliteCms("Data Source=cms.db");
   var app = builder.Build();
   

   Currently, Fluent CMS supports AddSqliteCms, AddSqlServerCms, and AddPostgresCms.

4. Initialize Fluent CMS: Add this line after builder.Build() to initialize the CMS:

   await app.UseCmsAsync();
   

   This will bootstrap the router and initialize the Fluent CMS schema table.

5. Optional: Set Up User Authorization: If you wish to manage user authorization, you can add the following code. If you're handling authorization yourself or don’t need it, you can skip this step.

   builder.Services.AddDbContext<AppDbContext>(options => options.UseSqlite(connectionString));
   builder.AddCmsAuth<IdentityUser, IdentityRole, AppDbContext>();
   

   If you'd like to create a default user, add this after app.Build():

   InvalidParamExceptionFactory.CheckResult(await app.EnsureCmsUser("[email protected]", "Admin1!", [Roles.Sa]));
   

Once your web server is running, you can access the Admin Panel at /admin and the Schema Builder at /schema.

You can find an example project here.

You can define simple C# expressions in the Validation Rule of attributes using Dynamic Expresso. For example, a rule like name != null ensures the name attribute is not null.

Additionally, you can specify a Validation Error Message to provide users with feedback when validation fails.

Dynamic Expresso supports regular expressions, allowing you to write rules like Regex.IsMatch(email, "^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\\.[a-zA-Z0-9-.]+$").

Note: Since Dynamic Expresso doesn't support verbatim strings, you must escape backslashes (\).

To implement custom business logic, such as verifying that a teacher entity has valid email and phone details, you can register hook functions to run before adding or updating records:

var registry = app.GetHookRegistry();

// Hook function for pre-add validation
registry.EntityPreAdd.Register("teacher", args =>
{
    VerifyTeacher(args.RefRecord);
    return args;
});

// Hook function for pre-update validation
registry.EntityPreUpdate.Register("teacher", args =>
{
    VerifyTeacher(args.RefRecord);
    return args;
});

To enable asynchronous business logic through an event broker like Kafka, you can produce events using hook functions. This feature requires just a few additional setup steps:

1. Add the Kafka producer configuration:

   builder.AddKafkaMessageProducer("localhost:9092");

2. Register the message producer hook:

   app.RegisterMessageProducerHook();

Here’s a complete example:

builder.AddSqliteCms("Data Source=cmsapp.db").PrintVersion();
builder.AddKafkaMessageProducer("localhost:9092");
var app = builder.Build();
await app.UseCmsAsync(false);
app.RegisterMessageProducerHook();

With this setup, events are produced to Kafka, allowing consumers to process business logic asynchronously.

• Backend Server
• Admin Panel UI
• Schema Builder

• Tools:
  • ASP.NET Core
  • SqlKata: SqlKata

• Tools:
  • React
  • PrimeReact: PrimeReact UI Library
  • SWR: Data Fetching/State Management

• Tools:
  • jsoneditor: JSON Editor

Fluent CMS favors integration testing over unit testing because integration tests can catch more real-world issues. For example, when inserting a record into the database, multiple modules are involved:

• EntitiesController
• EntitiesService
• Entity (in the query builder)
• Query executors (e.g., SqlLite, Postgres, SqlServer)

Writing unit tests for each individual function and mocking its upstream and downstream services can be tedious. Instead, Fluent CMS focuses on checking the input and output of RESTful API endpoints in its integration tests.

However, certain cases, such as the Hook Registry or application bootstrap, are simpler to cover with unit tests.

This project focuses on testing specific modules, such as:

• Hook Registry
• Application Bootstrap

This project focuses on verifying the functionalities of the FluentCMS.Blog example project.

This project is dedicated to testing experimental functionalities, like MongoDB and Kafka plugins.