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military-time-travel-earth · 22 days ago

Text

### ✅ How to Run the Web Dashboard

#### 1. **Install Flask** (if not already):

```bash

pip install flask

```

---

**Python Web App: `engine.py`**

```python

from flask import Flask, request, render_template_string, jsonify

import json

# Load checklist JSON from file

with open("checklist.json", "r") as f:

checklist = json.load(f)

app = Flask(__name__)

# Simple HTML frontend

TEMPLATE = """

<!DOCTYPE html>

<html>

<head>

<title>False-Flag Detection Dashboard</title>

<style>

body { font-family: Arial, sans-serif; background-color: #f4f4f4; margin: 20px; }

h2 { color: #333; }

.container { background: white; padding: 20px; border-radius: 8px; box-shadow: 0 0 10px #ccc; }

input, textarea { width: 100%; padding: 10px; margin: 10px 0; border-radius: 4px; border: 1px solid #ccc; }

.button { background-color: #007BFF; color: white; padding: 10px 20px; border: none; border-radius: 4px; cursor: pointer; }

.button:hover { background-color: #0056b3; }

.output { background-color: #eee; padding: 10px; border-radius: 4px; margin-top: 20px; }

</style>

</head>

<body>

<h2>False-Flag Event Evaluation</h2>

<label for="event_json">Enter Event JSON:</label>

<textarea id="event_json" name="event_json" rows="10">{{ event_json }}</textarea>

<button class="button" type="submit">Evaluate Event</button>

</form>

{% if result %}

<h3>Evaluation Report:</h3>

<pre>{{ result }}</pre>

</div>

{% endif %}

</div>

</body>

</html>

"""

# Rule evaluator

def evaluate_event(event, rules):

flags = []

halt_triggered = False

for condition in rules["auto_halt_conditions"]:

if condition["id"] == "halt_001" and event.get("rescue_time_hours", 999) <= 6 and not event.get("biomarker_evidence", True):

flags.append(condition["description"])

halt_triggered = True

if condition["id"] == "halt_002" and event.get("criminals_included"):

flags.append(condition["description"])

halt_triggered = True

if condition["id"] == "halt_003" and event.get("distress_signal_blocked"):

flags.append(condition["description"])

halt_triggered = True

if condition["id"] == "halt_004" and event.get("duplicate_pattern_count", 0) >= 2:

flags.append(condition["description"])

halt_triggered = True

results = {

"incident_id": event.get("incident_id", "Unknown"),

"flags": flags,

"halt_triggered": halt_triggered,

"narrative_similarity_score": event.get("narrative_similarity_score", 0),

"extraction_targets": event.get("extraction_list", []),

"independent_confirmation_count": event.get("independent_confirmations", 0)

}

return results

@app.route("/", methods=["GET", "POST"])

def dashboard():

event_json = ""

result = None

if request.method == "POST":

try:

event_json = request.form["event_json"]

event_data = json.loads(event_json)

evaluation = evaluate_event(event_data, checklist)

result = json.dumps(evaluation, indent=4)

except Exception as e:

result = f"Error parsing input: {e}"

return render_template_string(TEMPLATE, event_json=event_json, result=result)

if __name__ == "__main__":

app.run(debug=False, port=5000)

```

---

### 🖥️ Run It:

From your terminal:

```bash

python engine.py

```

Then open [http://localhost:5000](http://localhost:5000) in your browser to interact with the dashboard.

---

Would you like help generating sample event inputs or connecting this engine to a file or database for batch evaluations?

#python #web dashboard #false-flag detection web dashboard #dashboard

0 notes

aisoftwaretesting · 18 days ago

Text

Testing a Website App with Genqe: A Comprehensive Guide

In today’s rapidly evolving digital landscape, ensuring the quality and functionality of web applications is essential. Whether it’s a startup’s first product or a Fortune 500 company’s client-facing portal, rigorous testing must be a part of the development lifecycle. Among the many tools available for web app testing, Genqe stands out as an innovative and powerful solution designed to make the testing process intuitive, fast, and reliable. In this article, we will explore in detail how Genqe can be used to test a website application, outlining its core features, workflow, benefits, and best practices.

Introduction to Genqe

Genqe is a modern, AI-powered platform specifically built for testing web applications. Unlike traditional testing tools that often require complex configurations, coding skills, and steep learning curves, Genqe simplifies the process by offering an intuitive interface and intelligent automation features. It is designed to bridge the gap between manual and automated testing, making it suitable for both QA professionals and non-technical users such as product managers or UI designers.

Genqe offers a range of capabilities including no-code test creation, real-time test execution, visual regression testing, cross-browser support, and detailed reporting — all within a collaborative workspace. The platform aims to accelerate development cycles by making testing more efficient and less error-prone.

Getting Started with Genqe

To begin testing a web application with Genqe, users need to sign up and create a project. The onboarding process is simple, and new users are guided through a user-friendly interface that helps them set up their first test case.

Once inside the platform, users are prompted to enter the URL of the website app they want to test. Genqe then loads the web page in a browser-like environment where tests can be created directly. One of Genqe’s standout features is its no-code test builder, which allows users to define actions like clicking buttons, filling forms, or verifying content without writing a single line of code.

For example, testing a login page involves:

Navigating to the login URL.

Entering a username and password.

Clicking the “Login” button.

Verifying that the user is redirected to the dashboard.

All these actions can be recorded visually using Genqe’s smart interface.

Creating and Running Test Scenarios

Genqe allows users to create multiple test scenarios that can be saved and reused. Each scenario can include various steps such as navigation, input simulation, event triggering, and content validation. Genqe also supports conditional logic and assertions to ensure your tests cover a wide range of user interactions and possible outcomes.

Tests are executed in a cloud-based environment. This allows Genqe to simulate user behavior across different operating systems, browsers, and screen sizes — ensuring that your application works for all users, not just those on a single configuration. Cross-browser testing with Genqe is seamless, enabling you to test Chrome, Firefox, Safari, and Edge without the need for additional tools or virtual machines.

The execution engine of Genqe is optimized for speed and accuracy. It detects dynamic content, AJAX responses, and asynchronous events without needing manual intervention. If an element is loaded late, Genqe intelligently waits for it, reducing the chance of false negatives.

Visual Regression Testing

Another core feature of Genqe is visual regression testing. This is especially useful when frequent UI changes are made, and you need to ensure nothing is visually broken on the live site. Genqe captures screenshots of the application at each stage of the test and compares them with a baseline image. Any unexpected changes are flagged and highlighted.

The visual comparison engine uses AI to differentiate between meaningful and irrelevant changes, which means Genqe won’t raise false alarms for things like cursor position or anti-aliasing differences. Developers and designers can review the differences visually and approve or reject them directly from the dashboard.

Collaboration and Reporting

Testing is rarely a solo effort. Genqe is built with collaboration in mind. It provides a shared workspace where team members can view test cases, results, and reports in real-time. Comments and annotations can be added to each test run, enabling better communication between testers, developers, and stakeholders.

The reporting dashboard in Genqe is both comprehensive and easy to understand. Test results are displayed in real-time with detailed logs of every step. Users can view screenshots, console logs, HTTP responses, and error messages all in one place. The dashboard also provides historical analytics to identify trends, track test coverage, and monitor performance over time.

Failed tests are automatically categorized, helping teams prioritize fixes based on severity and frequency. This helps in reducing the time spent on debugging and ensures that issues are addressed before they reach production.

Integrations and CI/CD

Modern development workflows demand seamless integration between testing tools and other parts of the software lifecycle. Genqe offers out-of-the-box integrations with popular CI/CD platforms such as GitHub Actions, GitLab CI, Jenkins, and CircleCI. This allows you to include Genqe test runs in your deployment pipeline, ensuring that code changes are automatically tested before being pushed live.

Genqe also supports Slack and email integrations for alerting. If a test fails, team members can be notified instantly, reducing the response time to critical issues.

Advanced Features and Customization

While Genqe is designed to be user-friendly for beginners, it does not compromise on power for advanced users. It offers capabilities like:

API testing alongside UI testing.

Parameterized test cases for data-driven testing.

Custom scripting blocks using JavaScript for complex logic.

Accessibility audits to ensure compliance with standards like WCAG.

Performance snapshots to detect bottlenecks during interaction.

All these features are accessible from the same dashboard, making Genqe a unified testing environment for your web applications.

Best Practices for Using Genqe

To get the most out of Genqe, teams should follow some best practices:

Define test cases early in the development process to catch issues sooner.

Maintain test modularity so that common steps (like login) can be reused across test cases.

Run tests regularly, ideally after every deployment using CI/CD integration.

Use visual regression sparingly on high-priority user flows to reduce noise.

Leverage Genqe’s analytics to monitor long-term application health and user experience.

Conclusion

Web application testing is a critical part of the development lifecycle, and using the right tool can significantly enhance productivity, coverage, and confidence in your product. Genqe emerges as a top-tier solution in this space by offering a powerful, intuitive, and comprehensive testing environment that caters to both technical and non-technical users.

From no-code test creation to visual regression testing, cross-browser execution to seamless CI/CD integration, Genqe equips teams with everything they need to deliver high-quality web applications. It brings clarity, automation, and intelligence to the testing process, allowing teams to focus more on innovation and less on bugs.

If you’re looking to simplify and strengthen your web application testing process, Genqe is a tool worth adopting. It combines ease of use with enterprise-grade features, making it an ideal choice for modern teams that prioritize quality, speed, and collaboration.

0 notes

workfromhom · 7 years ago

Text

Take a video tour of Facebook’s election security war room

Beneath an American flag, 20 people packed tight into a beige conference room are Facebook’s, and so too the Internet’s, first line of defense for democracy. This is Facebook’s election security war room. Screens visualize influxes of foreign political content and voter suppression attempts as high-ranking team members from across divisions at Facebook, Instagram, and WhatsApp coordinate rapid responses. The hope is through face-to-face real-time collaboration in the war room, Facebook can speed up decision-making to minimize how misinformation influences how users vote.

In this video, TechCrunch takes you inside the war room at Facebook’s Menlo Park headquarters. Bustling with action beneath the glow of the threat dashboards, you see what should have existed two years ago. During the U.S. presidential election, Russian government trolls and profit-driven fake news outlets polluted the social network with polarizing propaganda. Now Facebook hopes to avoid a repeat in the upcoming US midterms as well as elections across the globe. And to win the hearts, minds, and trust of the public, it’s being more transparent about its strategy.

youtube

“It’s not something you can scale to solve with just human.s And it’s not something you can solve with just technology either” says Facebook’s head of cybersecurity Nathaniel Gleicher. “I think artificial intelligence is a critical component of a solution and humans are critical component of a solution.” The two approaches combine in the war room.

Who’s In The War Room And How They Fight Back

Engineers – Facebook’s coders develop the dashboards that monitor political content, hate speech, user reports of potential false news, voter suppression content, and more. They build in alarms that warn the team of anomalies and spikes in the data, triggering investigation by…

Data Scientists – Once a threat is detected and visualized on the threat boards, these team members dig into who’s behind an attack, and the web of accounts executing the misinformation campaign.

Operations Specialists – They determine if and how the attacks violate Facebook’s community standards. If a violation is confirmed, they take down the appropriate accounts and content wherever they appear on the network.

Threat Intelligence Researchers and Investigators – These professional cybersecurity professionals have tons of experience in deciphering the sophisticated tactics used by Facebook’s most powerful adversaries including state actors. They also help Facebook run war games and drills to practice defense against last-minute election day attacks.

Instagram and WhatsApp Leaders – Facebook’s acquisitions must also be protected, so representatives from those teams join the war room to coordinate monitoring and takedowns across the company’s family of apps. Together with Facebook’s high-ups, they dispense info about election protection to Facebook’s 20,000 security staffers.

Local Experts – Facebook now starts working to defend an election 1.5 to 2 years ahead of time. To provide maximum context for decisions, local experts from countries with the next elections join to bring knowledge of cultural norms and idiosyncracies.

Policy Makers – To keep Facebook’s rules about what’s allowed up to date to bar the latest election interference tactics, legal and policy team members join to turn responses into process.

Beyond fellow Facebook employees, the team works external government, security, and tech industry partners. Facebook routinely cooperates with other social networks to pass each other information and synchronize take-downs. Facebook has to get used to this. Following the mid-terms it will evaluate whether it needs to constantly operate a war room. But after it was caught be surprise in 2016, Facebook accepts that it can never turn a blind eye again.

Facebook’s director of our global politics and government outreach team Katie Harbath concludes. “This is our new normal.”

from Facebook – TechCrunch https://ift.tt/2PFnl8N via IFTTT

#IFTTT #Facebook – TechCrunch

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un-enfant-immature · 7 years ago

Text

Take a video tour of Facebook’s election security war room

Beneath an American flag, 20 people packed tight into a beige conference room are Facebook’s, and so too the Internet’s, first line of defence for democracy. This is Facebook election security war room. Screens visualize influxes of foreign political content and voter suppression attempts as high-ranking team members from across divisions at Facebook, Instagram, and WhatsApp coordinate rapid responses. The hope is through face-to-face real-time collaboration in the war room, Facebook can speed up decision-making to minimize how misinformation influences how vote.

youtube

Who’s In The War Room And How They Fight Back

Data Scientists – Once a threat is detected and visualized on the threat boards, these team members dig into who’s behind an attack, and the web of accounts executing the misinformation campaign.

Policy Makers – To keep Facebook’s rules about what’s allowed up to date to bar the latest election interference tactics, legal and policy team members join to turn responses into process.

Facebook’s director of our global politics and government outreach team Katie Harbath concludes. “This is our new normal.”

#TechCrunch

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williamdbellb · 7 years ago

Text

Feature focus: Demoting errors and Transaction snapshots

Building a product is hard. Perhaps the biggest challenge in building a product is to think through all the different permutations in which a user would interact with the app. To be able to anticipate the expectation of the user and fulfill it, is what separates great products from good ones. Here are a couple feature highlights which we have baked into Plumbr, based on where we anticipated our users would step off the happy path.

Feature #1: Demoting errors

The vision of Plumbr is to make software more reliable for users. We achieve this is by monitoring application usage, detecting failures, communicating it back to engineering teams, and acknowledging when errors have been fixed. Plumbr observes traffic, and flags errors by checking response codes.

A binary classifier typically has four outcomes – a hit, a miss, a false alarm, and rejection. For Plumbr, this manifests as either errors or success. Ambiguity arises because of the possibility of denoting errors just on the basis of response codes. Owing to engineering decisions, there could be some transactions classified as errors, when they are actually not. The reason – custom response codes. There are cases when a user interaction in an application that we monitor is not handled correctly technically, but it’s still considered a success from the end user’s point of view

Typically, web applications are built following the IANA standard for response codes. Plumbr too is built upon this premise. However, many business applications use custom codes or interpret IANA response codes with variation. to denote certain events. These are flagged by Plumbr as errors, because they don’t conform to the IANA standard of success codes.

Plumbr’s users have the option to flag these false positives, upon their conviction that these don’t impact the end-user’s experience (assuming an error detection is a positive outcome). This way, these errors are prevented from appearing in the list of errors captured, and also aren’t aggregated in the dashboards. In the product we call this Demoting errors.

For purposes of reporting, classification, and separation of concerns, we’ve seen this feature being used. One specific case reported back to us was that one team was responsible for a web-service, and another for authentication. They wanted to suppress all the errors thrown by the authentication service from appearing on their dashboards. They simply demoted the error, and they had a much clearer picture from their Plumbr dashboard.

Feature #2: Transaction snapshots

One of the major benefits provided by Plumbr is the capturing of call traces that run many levels deep. Periodically, Plumbr also captures thread dumps. By combining these, Plumbr has all the information required to ascertain the cause of failures and bottlenecks.

On occassion, interfacing with legacy applications could cause of performance bottlenecks. These codebases usually integrate using old remote method invocation mechanisms. This could result in Plumbr not having sufficient contextual information to provide sophisticated support as other methods. This constraint can be overcome by employing a fallback mechanism known as Transaction snapshots.

Plumbr periodically captures thread dumps from the environment that is executing the transaction. These snapshots are spawned at increasing intervals, and are purged if the transaction neither fails not is slow or stuck. Plumbr adds value by assimilating the call stacks from the thread dumps into a tree-structure. The branches are ordered by frequency of occurrence.

This way, there is enough information available for engineers to begin fixing issues. A screenshot follows, which shows the same kind of contextual information like other bottlenecks.

There is further investigation we’re doing about how we can improve classification. We’re also planning on integrating deeply with many more tech stacks like Node.js, php, Django, .NET and others. Watch out for these and many more configuration options in future releases.

Thumbnail courtesy pongsakornRed from www.flaticon.com is licensed by CC 3.0 BY

from RSSMix.com Mix ID 8248515 https://plumbr.io/blog/product-updates/feature-focus-errors-and-snapshots via http://www.rssmix.com/

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theinvinciblenoob · 7 years ago

Link

Who’s In The War Room And How They Fight Back

Data Scientists – Once a threat is detected and visualized on the threat boards, these team members dig into who’s behind an attack, and the web of accounts executing the misinformation campaign.

Policy Makers – To keep Facebook’s rules about what’s allowed up to date to bar the latest election interference tactics, legal and policy team members join to turn responses into process.

Facebook’s director of our global politics and government outreach team Katie Harbath concludes. “This is our new normal.”

via TechCrunch

#IFTTT #TechCrunch

0 notes