With Audit Log (proto)

100%

With Audit Log (proto)

✓ Published0🌍 Public

Last edited Jan 15, 2019

Created on Jan 15, 2019

This example demonstrates a functional programming pattern in JavaScript for separating audit logging from core object-update logic. It builds a chain of higher-order functions, including `createAuditLogCollector`, `withAuditLog`, and `saveAuditLogAfterExecution`, to wrap an update function so that it transparently collects audit records during execution and persists them afterward. The solution leverages the Ramda library’s `R.pipe` to compose these wrappers, ensuring the `update` function remains unaware of the audit trail. The code shows how to inject a wrapper that intercepts results, logs side effects, and coordinates asynchronous database writes.

AI-generated description

Similar vizzes

Loading thumbnail…

With Audit Log prototype

This example shows a JavaScript module that wraps step updates to collect and persist audit log records within a transaction. It defines factory functions, such as `stepFactory` and `withAuditLogCollector`, to intercept update operations, accumulate audit log records in a container, and execute them after the main update succeeds. The code uses a closure-based container with `getAll` and `add` methods, and async/await for handling promises. It demonstrates a composable pattern for injecting audit logging into existing command functions without altering their core logic.

RRestuta

83% match

Loading thumbnail…

Audit Log Collection Design Problem

This example presents a design problem for collecting audit logs alongside object updates while keeping business logic agnostic. The code defines a `foo` function that calls `applyUpdatesWithAudit` multiple times, while `updateWithAuditLog` returns both the updated object and an audit record. Abstracting the audit collection into a `createFoo` wrapper ensures that `foo` performs only updates, while delegated functions like `saveAuditRecordsToDb` and `saveUpdatesToDb` handle database writes. The solution runs entirely in JavaScript with async/await, demonstrating a pattern for batching in-memory updates and audit records for a two-call persistence flow.

RRestuta

79% match

Loading thumbnail…

Collect Audit Log Updates

This example demonstrates a JavaScript pattern for collecting audit log updates during function execution. The code defines a `createContainer` factory that manages a list of items, with methods to retrieve all entries and append new ones. An `applyUpdates` function accepts a callback, `onNewAuditLogRecord`, which is invoked with each input value, causing the updates to be appended to a shared container instance. Three calls with values 9, 99, and 990 are made, and the final `getAll()` call returns the array `[9, 99, 990]`, showing the collected records without any external libraries or rendering.

RRestuta

77% match

Loading thumbnail…

Effect Functor / Reader Monad

This example demonstrates functional programming patterns—an Effect functor and Reader monad—as JavaScript objects with methods like `map`, `chain`, `join`, and `ap`. The Effect wraps an impure function like `fZero`, while `Effect.of` creates a pure initial value. The Reader monad, using `Reader.ask`, threads a shared environment (a database and logger) through a composed `updateTask` pipeline. The code simulates a database update and logging by explicitly invoking `run` with those dependencies, showing how side effects are deferred and composed without direct state mutation.

RRestuta

62% match

Loading thumbnail…

https://jsfiddle.net/developit/q435c6mL/

This example implements a live DOM audit logger that intercepts and records modifications to page elements as they occur. It demonstrates real-time logging of property changes (textContent, innerHTML, className) and node insertions/removals, displaying a formatted trail of each operation with previous and current values. The visualization uses the DOMAuditLogger library, which patches native Element and Node prototype methods to capture events, and renders the audit entries in a scrolling view with color-coded message types.

JJastor11

60% match

Loading thumbnail…

Gist 7d6a7404e99051bb7d2f36c61f0113ae

This example demonstrates functional programming techniques in JavaScript, including currying, composition, and generator functions. It shows how currying enables partial application, as seen with the `sum` function and reusable helpers like `getName` and `mapUserNames`. The code uses `compose` with `reduceRight` to chain array transformations, filtering user names by length. It also illustrates generator behavior with `next(true)` to control iteration completion. The data is a hardcoded array of user objects, and output is logged to the console via `console.log`.

IIliaIdakiev

56% match

Loading thumbnail…

App Flow Proto 2

This example shows a JavaScript application module that coordinates step updates through database transactions and post-commit effects. The code demonstrates dependency injection with factory functions like `createStep` and `stepFactory`, alongside utility containers for managing operations. It uses Sequelize’s `startTransaction` for database writes, while an `effectsContainer` pattern collects and executes deferred operations. The `applyUpdates` helper and `createHistoryRecord` suggest data transformation and logging, though no specific visualization library or rendering API appears in the provided source.

RRestuta

56% match

Loading thumbnail…

Teach ramda

This example contrasts two refactorings of the same state-update logic in JavaScript, both using the Ramda library to remove an attribute from a matching object in an array. The first script composes functions like `findIndex`, `propEq`, and `adjust` to locate an object by ID and apply `dissocPath` to delete a nested field. The second script uses `R.when` with `R.propEq` and `R.dissoc` to achieve the same result, then verifies equality with `R.equals`. The code shows how Ramda’s declarative helpers replace manual `map` and `slice` iterations for immutable updates.

66ewis

55% match