Energy Trading on Blockchain: Building Peer-to-Peer Energy Trading Platforms - Related to xml, formatting, energy, platforms, module

Deep Dive: xml-trueformat – Preserve XML Formatting with Ease

xml-trueformat is a TypeScript library for parsing and manipulating XML documents while retaining their exact original formatting. It stores whitespace, line breaks, comment placement, and attribute order—ensuring a no-op parse/serialize if you don’t change anything, and only minimal diffs when you do.

Many XML tools strip “insignificant” whitespace or reformat tags. For files where human-friendly layout and indentation matter—like configuration files, manifests, or annotated XML templates—this can be disruptive. xml-trueformat preserves every nuance of an XML file, so you can add elements or attributes programmatically without rewriting everything else.

Clearly, xml-trueformat satisfies a specific set of requirements - the following outlines, in which situations it fits well and where you should rather go for another parser.

You require exact round-trip output, preserving whitespace, comments, and attribute ordering.

output, preserving whitespace, comments, and attribute ordering. You handle configuration or manifest files under version control where small diffs are critical.

under version control where small diffs are critical. You need to insert or remove nodes while leaving everything else unaltered.

You only need to parse XML data (no need for original layout) or convert to JSON.

(no need for original layout) or convert to JSON. You want fast, large-scale data extraction from huge XML files (performance overhead is higher here).

from huge XML files (performance overhead is higher here). You prefer a simpler JSON-like object structure, [website], from xml2js , and don’t care about formatting.

xml2js : Converts XML to a JavaScript object, loses formatting and comments. Simpler for data but no layout fidelity.

: Converts XML to a JavaScript object, loses formatting and comments. Simpler for data but no layout fidelity. fast-xml-parser : High performance, optional “preserveOrder” for node sequence, but still not guaranteed exact whitespace or comments in original positions.

: High performance, optional “preserveOrder” for node sequence, but still not guaranteed exact whitespace or comments in original positions. DOM-based parsers (xmldom, etc.) : May preserve some whitespace, but typically not attribute quotes/order or small spacing nuances. Re-serialization often changes formatting.

: May preserve some whitespace, but typically not attribute quotes/order or small spacing nuances. Re-serialization often changes formatting. sax-js: An event-based streaming parser that’s great for processing large XML on-the-fly. It doesn’t build a modifiable DOM nor preserve formatting. Ideal for fast reads, not for round-trip exactness.

xml-trueformat is purpose-built for retaining everything. In exchange, it’s less streamlined for pure data transformations and may be slower for large files compared to specialized parsers.

Under the hood, xml-trueformat uses its own AST (abstract syntax tree) rather than a standard DOM. Every piece of whitespace (indentation, newlines, spacing around attributes) is modeled as text nodes, plus specialized classes for comments, CDATA, etc. When you add or remove something, it automatically:

Matches Indentation of sibling nodes if possible.

of sibling nodes if possible. Preserves Quoting Style from existing attributes ([website], ' ' or " " ).

from existing attributes ([website], or ). Keeps Comments and Processing Instructions precisely where they were.

precisely where they were. Distinguishes between self-closing and non-self-closing elements ([website] vs. ).

The real magic of xml-trueformat is that when you insert new elements or attributes, it doesn't just plop them in arbitrarily – it matches the existing formatting style. Two helper methods illustrate this well: adding a new element and adding a new attribute (we'll only show the first here).

Inserting Elements without Breaking Indentation.

Let’s say you have an XML list of entries:

Enter fullscreen mode Exit fullscreen mode.

If you want to add a new element programmatically, you’d want it indented with the same 4 spaces as the others, and on its own new line. With xml-trueformat, you can do something like:

const newUser = new XmlElement ( ' user ' , [ new XmlAttribute ( ' name ' , ' Charlie ' )]); userElement . addElement ( newUser ); Enter fullscreen mode Exit fullscreen mode.

If there are sibling elements, xml-trueformat checks their whitespace usage (like line breaks and indentation) and applies the same to . This results in a well formatted result:

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Of course you could as well manually control formatting, by using XmlElement.addChild which does not perform any "smart" formatting and gives you full control.

import { XmlParser } from ' xml-trueformat ' ; import * as fs from ' fs ' ; const xmlData = fs . readFileSync ( ' [website] ' , ' utf8 ' ); const doc = XmlParser . parse ( xmlData ); // Modify attributes doc . getRootElement (). setAttributeValue ( ' version ' , ' [website] ' ); // Add new element const newElem = new XmlElement ( ' feature ' , [ new XmlAttribute ( ' enabled ' , ' true ' )]); doc . getRootElement (). addElement ( newElem ); // Serialize fs . writeFileSync ( ' [website] ' , doc . toString ()); Enter fullscreen mode Exit fullscreen mode.

The output remains faithful to the original indentation and spacing, with only the changes you requested.

Comments and CDATA preserved: Comments, processing instructions, and CDATA sections are not lost or reformatted. They are part of the object model ([website], there are XmlComment and XmlCData node types) and will round-trip through parse and serialize intact, at their original places.

No heavy dependencies: xml-trueformat is implemented in plain TypeScript with no external libraries required . This makes it lightweight and ensures compatibility in [website] and in browsers. You can use it in a backend script or on a frontend page – anywhere you need to manipulate XML reliably.

Minimal footprint of change: When you do make modifications, xml-trueformat keeps the scope of changes minimal. If you diff the before vs after XML files, you’ll typically see only the lines related to your actual change. This makes code reviews and merges smoother.

xml-trueformat is an excellent choice for high-fidelity XML editing, especially where minor layout changes would be problematic. It’s not the fastest or simplest for data extraction, but if you want minimal diffs and lossless round trips, it’s hard to beat.

Let me know what aspects or improvements you’d like. Feel free to open an issue or PR on GitHub — feedback is always welcome!

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Energy Trading on Blockchain: Building Peer-to-Peer Energy Trading Platforms

The energy sector is evolving rapidly, with decentralized energy systems and renewable energy data taking center stage. One of the most exciting developments is peer-to-peer (P2P) energy trading, where individuals and businesses can buy and sell energy directly with each other, bypassing traditional utility companies. Blockchain technology is the backbone of this innovation, providing a secure, transparent, and automated way to manage energy transactions. In this article, we’ll explore how to build a P2P energy trading platform using blockchain, breaking down the process into simple, actionable steps.

Imagine a neighborhood where some homes have solar panels generating more energy than they need. Instead of sending this excess energy back to the grid for a low price, they can sell it directly to their neighbors at a fair rate. This is the essence of P2P energy trading. It empowers consumers to become “prosumers” (producers and consumers) and fosters a more efficient and sustainable energy ecosystem.

Blockchain technology makes this possible by acting as a decentralized ledger that records all transactions securely and transparently. Smart contracts, which are self-executing programs on the blockchain, automate the trading process, ensuring that energy is exchanged fairly and payments are processed automatically.

Blockchain brings several unique advantages to P2P energy trading:

No Middlemen : Transactions happen directly between buyers and sellers, reducing costs and inefficiencies.

: Transactions happen directly between buyers and sellers, reducing costs and inefficiencies. Transparency : Every transaction is recorded on a public ledger, making the system trustworthy.

: Every transaction is recorded on a public ledger, making the system trustworthy. Security : Blockchain’s cryptographic techniques ensure that data cannot be tampered with.

: Blockchain’s cryptographic techniques ensure that data cannot be tampered with. Automation: Smart contracts handle the entire trading process, from matching buyers and sellers to settling payments.

3. Key Components of a P2P Energy Trading Platform.

To build a functional P2P energy trading platform, you’ll need the following components:

Blockchain Network: This is the foundation of the platform. It records all energy transactions and ensures they are secure and immutable. Popular choices include Ethereum, Hyperledger Fabric, and Binance Smart Chain. Smart Contracts: These are the brains of the platform. They define the rules for trading, such as pricing, energy limits, and penalties for non-compliance. IoT Devices: Smart meters and sensors are used to measure energy production and consumption in real-time. This data is fed into the blockchain to facilitate accurate trading. User Interface: A web or mobile app allows individuals to participate in energy trading. It should display real-time data, such as energy prices and available trades, and provide an easy way to buy or sell energy. Energy Grid Integration: The platform must integrate with the local energy grid to ensure seamless energy transfer between participants.

Let’s walk through the process of building a P2P energy trading platform.

Start by identifying the stakeholders ([website], homeowners, businesses, grid operators) and defining the rules for trading. For example:

What are the minimum and maximum energy limits for trading?

Select a blockchain platform that suits your needs:

Ethereum : Best for public, permissionless systems. It supports smart contracts and has a large developer community.

: Best for public, permissionless systems. It supports smart contracts and has a large developer community. Hyperledger Fabric : Ideal for private, permissioned networks. It’s highly customizable and scalable.

: Ideal for private, permissioned networks. It’s highly customizable and scalable. Binance Smart Chain: A low-cost alternative to Ethereum, suitable for smaller-scale projects.

Smart contracts are the heart of your platform. They automate the trading process and ensure that all transactions are executed . Here’s an example of a simple energy trading smart contract written in Solidity (Ethereum’s programming language):

pragma solidity ^[website]; contract EnergyTrading { struct Trade { address seller; address buyer; uint256 energyAmount; uint256 price; bool completed; } Trade[] public trades; function createTrade(address _buyer, uint256 _energyAmount, uint256 _price) public { [website]{ seller: [website], buyer: _buyer, energyAmount: _energyAmount, price: _price, completed: false })); } function completeTrade(uint256 tradeId) public { require(trades[tradeId].buyer == [website], "Only the buyer can complete the trade"); trades[tradeId].completed = true; // Transfer energy and payment (simplified for example) } }.

This contract allows sellers to create trades and buyers to complete them. In a real-world application, you’d also need to integrate IoT data and handle energy transfers.

IoT devices, such as smart meters, are essential for measuring energy production and consumption. These devices send real-time data to the blockchain, enabling accurate and automated trading. For example, a smart meter might send data like this:

{ "deviceId": "meter123", "energyGenerated": [website], // kWh "energyConsumed": [website], // kWh "timestamp": "2023-10-01T12:00:00Z" }.

This data can be used to determine how much energy is available for trading.

The user interface is where participants interact with the platform. It should display real-time data, such as energy prices and available trades, and provide an easy way to buy or sell energy. You can build the interface using modern web technologies like React or Angular.

Finally, the platform must integrate with the local energy grid to ensure seamless energy transfer between participants. This might involve working with utility companies or using APIs provided by grid operators.

Several projects are already using blockchain for P2P energy trading. Here are a few examples:

Power Ledger : An Australian organization that enables P2P energy trading using blockchain. Learn more.

: An Australian business that enables P2P energy trading using blockchain. Learn more LO3 Energy : A New York-based business that developed the Brooklyn Microgrid, a local energy trading platform. Learn more.

: A New York-based organization that developed the Brooklyn Microgrid, a local energy trading platform. Learn more Electron: A UK-based organization using blockchain for energy flexibility and trading. Learn more.

For developers looking to dive deeper, here are some useful resources:

: [website] Hyperledger Fabric Documentation : [website]/.

: [website]/ Solidity Programming Guide: [website].

Blockchain-powered P2P energy trading is revolutionizing the way we produce, consume, and trade energy. By eliminating intermediaries and enabling direct transactions, it empowers individuals and communities to take control of their energy needs. Building such a platform involves combining blockchain technology, smart contracts, IoT devices, and user-friendly interfaces. With the right tools and resources, you can create a system that is not only efficient and secure but also contributes to a more sustainable energy future.

Whether you’re a developer, an energy enthusiast, or just curious about blockchain, this is an exciting field to explore. The future of energy is decentralized, and blockchain is leading the way. 🚀.

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Key Use Cases of the Event-Driven Ansible Webhook Module

The [website] plugin is a powerful Event-Driven Ansible (EDA) tool that listens for incoming HTTP webhook requests and triggers automated workflows based on predefined conditions. It’s highly versatile and can be applied across various industries and IT operations.

A major use case for [website] is in automated incident response. When monitoring tools like Prometheus, Nagios, or Datadog spot issues or failures, they can send webhook alerts to Ansible, which then automatically runs playbooks to troubleshoot and fix the problem. This could involve restarting services, scaling up infrastructure, or rolling back recent deployments.

Handling these tasks automatically helps resolve issues faster, reduces downtime, and improves overall system reliability.

Continuous Integration and Continuous Deployment (CI/CD) Pipelines.

Webhooks play a crucial role in CI/CD workflows. Platforms like GitHub, GitLab, or Jenkins send webhooks whenever code is committed, a pull request is made, or a build succeeds.

With [website] , these events can automatically trigger Ansible playbooks to deploy applications, run tests, or configure environments. This automation speeds up software delivery, makes deployments more reliable, and minimizes the need for manual intervention in the process.

Webhooks make it easy for organizations to manage configuration changes in real time. For instance, when a new configuration file is uploaded to a central repository or a change is made in a cloud management system, a webhook can automatically trigger Ansible to improvement the configuration across all servers. This keeps systems aligned with the latest settings, ensuring consistency and preventing issues caused by outdated configurations.

SIEM tools like Splunk or ELK Stack can send webhook alerts whenever they detect potential security threats, such as unauthorized access attempts or suspicious activity. With [website] , these alerts can automatically trigger security playbooks that isolate compromised systems, revoke access for unauthorized clients, or alert the security team. This automation helps organizations respond to security incidents faster and stay compliant with security regulations.

Cloud platforms can send webhook notifications for things like resource changes, system failures, or billing alerts. With [website] , these events can trigger automated actions to manage cloud resources — like scaling instances, adjusting load balancers, or keeping track of costs. This kind of dynamic response helps ensure that cloud resources are used efficiently and costs are kept under control.

Here’s a sample code snippet of a webhook that listens on port 9000 . Whenever it receives an event, it prints the event details to the screen using print_event action.

YAML - name: webhook demo hosts: localhost findings: - [website] port: 9000 host: [website] rules: - name: Webhook rule condition: true action: print_event: pretty: true.

The following curl command sends a POST request to the Event-Driven Ansible webhook running on [website]:9000/ .

Shell curl --header "Content-Type: application/json" \ --request POST \ --data '{"name": "Ansible EDA Webhook Testing"}' \ [website]:9000/.

Here’s the screenshot from running the ansible-rulebook -i localhost -r [website] command, which displays the response from the above curl command.

The [website] plugin is a powerful tool that brings real-time automation and responsiveness to IT operations. By listening for webhook events from various information — such as monitoring tools, CI/CD platforms, and cloud services — it enables organizations to automate incident response, streamline deployments, and maintain system compliance with minimal manual intervention.

Its flexibility and ease of integration make it an essential component for modern, event-driven infrastructures, helping teams improve efficiency, reduce downtime, and ensure consistent, reliable operations.

Note: The views expressed on this blog are my own and do not necessarily reflect the views of Oracle.

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