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Author SHA1 Message Date
orangecoding
fa76821f7d next release version 2025-09-07 22:15:45 +02:00
orangecoding
09c6ce1d0b improve similarity cache. It now checks for similarities independend from jobs 2025-09-07 22:15:14 +02:00
Christian Kellner
7fa9a265ef Fixing docker command 2025-09-07 16:46:43 +02:00
Christian Kellner
f201090b56 Update README.md 2025-09-05 12:35:20 +02:00
Christian Kellner
dda5b5fbcb Update README.md 2025-09-05 12:34:03 +02:00
Christian Kellner
a93c7ffee5 Update README.md 2025-09-05 12:33:28 +02:00
Christian Kellner
79a2d967e8 Update README.md 2025-09-05 12:33:12 +02:00
Christian Kellner
c264e11c26 Update README.md 2025-09-05 12:32:50 +02:00
Christian Kellner
9f8d189f47 Update README.md 2025-09-05 12:24:16 +02:00
orangecoding
bed0843f30 next release version 2025-09-05 12:07:35 +02:00
orangecoding
947e895de6 upgrading puppeteer / updating config 2025-09-05 12:07:08 +02:00
Christian Kellner
da848fcca1 Update README.md 2025-09-04 09:08:25 +02:00
Christian Kellner
74c3edd635 Update README.md 2025-09-03 15:09:35 +02:00
Christian Kellner
154043bed1 Update README.md 2025-09-03 14:52:58 +02:00
Christian Kellner
1854b421af avoid warnings on test 2025-09-03 14:47:56 +02:00
Christian Kellner
b29fc4b183 avoid warnings on test 2025-09-03 14:47:43 +02:00
Christian Kellner
47afa5659e Merge branch 'master' of github.com:orangecoding/fredy 2025-09-03 14:47:39 +02:00
Christian Kellner
f8e0376ddd adding new chart system 2025-09-03 14:22:04 +02:00
weakmap@gmail.com
29026ccad8 new chart system 2025-09-03 09:45:09 +02:00
9 changed files with 289 additions and 237 deletions

239
README.md
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@@ -1,102 +1,159 @@
# Fredy 🏡 Your Self-Hosted Real Estate Finder for Germany
Finding an apartment or house in Germany can be stressful and
time-consuming.\
**Fredy** makes it easier: it automatically scrapes **ImmoScout24,
Immowelt, Immonet, eBay Kleinanzeigen, and WG-Gesucht** and notifies you
instantly via **Slack, Telegram, Email, ntfy, and more** when new
listings appear.
With a modern architecture, Fredy provides a **clean Web UI**, removes
duplicates across platforms, and stores results so you never see the
same listing twice.
<img src="https://github.com/orangecoding/fredy/blob/master/doc/logo.png" width="400">
![Test](https://github.com/orangecoding/fredy/actions/workflows/test.yml/badge.svg) [![Create and publish Docker image](https://github.com/orangecoding/fredy/actions/workflows/docker.yml/badge.svg)](https://github.com/orangecoding/fredy/actions/workflows/docker.yml) ![Check the sourcecode](https://github.com/orangecoding/fredy/actions/workflows/check_source.yml/badge.svg)
![Tests](https://github.com/orangecoding/fredy/actions/workflows/test.yml/badge.svg)
[![Docker](https://github.com/orangecoding/fredy/actions/workflows/docker.yml/badge.svg)](https://github.com/orangecoding/fredy/actions/workflows/docker.yml)
![Source](https://github.com/orangecoding/fredy/actions/workflows/check_source.yml/badge.svg)
![Docker Pulls](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fghcr-badge.elias.eu.org%2Fapi%2Forangecoding%2Ffredy%2Ffredy&query=%24.downloadCount&label=Docker%20Pulls)
Searching an apartment in Germany can be a frustrating task. Not any longer though, as _Fredy_ will take over and will only notify you once new listings have been found that match your requirements.
------------------------------------------------------------------------
_Fredy_ scrapes multiple services (Immonet, Immowelt etc.) and send new listings to you once they become available. The list of available services can easily be extended. For your convenience, _Fredy_ has a UI to help you configure your search jobs.
## ✨ Key Features
If _Fredy_ finds matching results, it will send them to you via Slack, Email, Telegram etc. (More adapters can be configured.) As _Fredy_ stores the listings it has found, new results will not be sent to you twice (and as a side-effect, _Fredy_ can show some statistics). Furthermore, _Fredy_ checks duplicates per scraping so that the same listings are not being sent twice or more when posted on various platforms (which happens more often than one might think).
- 🏠 Scrapes **ImmoScout24, Immowelt, Immonet, eBay Kleinanzeigen,
WG-Gesucht**
- ⚡ Instant notifications: Slack, Telegram, Email (SendGrid,
Mailjet), ntfy
- 🔎 Uses the **ImmoScout Mobile API** (reverse engineered)
- 🌍 Runs anywhere: Docker, Node.js, self-hosted
- 🖥️ Intuitive **Web UI** to manage searches
- 🎯 Easy to use thanks to a user-friendly Web UI
- 🔄 Deduplication across platforms
- ⏱️ Customizable search intervals
# Sponsorship [![](https://img.shields.io/static/v1?label=Sponsor&message=%E2%9D%A4&logo=GitHub&color=%23fe8e86)](https://github.com/sponsors/orangecoding)
------------------------------------------------------------------------
If you like my work, consider becoming a sponsor. I'm not expecting anybody to pay for _Fredy_ or any other Open Source Project I'm maintaining, however keep in mind, I'm doing all of this in my spare time :) Thanks.
## 🤝 Sponsorship [![](https://img.shields.io/static/v1?label=Sponsor&message=❤&logo=GitHub&color=%23fe8e86)](https://github.com/sponsors/orangecoding)
[![JetBrains logo.](https://resources.jetbrains.com/storage/products/company/brand/logos/jetbrains.svg)](https://jb.gg/OpenSourceSupport)
I maintain Fredy and other open-source projects in my free time.\
If you find it useful, consider supporting the project 💙
_Fredy_ is supported by JetBrains under Open Source Support Program
Fredy is proudly backed by the **JetBrains Open Source Support Program**.
[<img src="https://resources.jetbrains.com/storage/products/company/brand/logos/jetbrains.svg" alt="JetBrains" width="120"/>](https://jb.gg/OpenSourceSupport)
## Demo
------------------------------------------------------------------------
If you want to try out _Fredy_, you can access the demo version [here](https://fredy.orange-coding.net) 🤘
## 🚀 Quick Start
## Usage
### With Docker
- Make sure to use Node.js 20 or above
- Run the following commands:
> [!NOTE]
> In order to start Fredy, you must provide a config.json. As a start, use the one in this repo: https://github.com/orangecoding/fredy/blob/master/conf/config.json
```ssh
``` bash
docker run -d --name fredy -v fredy_conf:/conf -p 9998:9998 ghcr.io/orangecoding/fredy:master
```
Logs:
``` bash
docker logs fredy -f
```
### Manual (Node.js)
- Requirement: **Node.js 20 or higher**
- Install dependencies and start:
``` bash
yarn
yarn run start:backend
yarn run start:frontend
yarn run start:backend # in one terminal
yarn run start:frontend # in another terminal
```
_Fredy_ will start with the default port, set to `9998`. You can access _Fredy_ by opening your browser at `http://localhost:9998`. The default login is `admin`, both for username and password. You should change the password as soon as possible when you plan to run Fredy on a server.
👉 Open <http://localhost:9998>
<p align="center">
<img alt="Job Configuration" src="https://github.com/orangecoding/fredy/blob/master/doc/screenshot1.png" width="30%">
&nbsp; &nbsp; &nbsp; &nbsp;
<img alt="Job Analytics" src="https://github.com/orangecoding/fredy/blob/master/doc/screenshot_2.png" width="30%">
&nbsp; &nbsp; &nbsp; &nbsp;
<img alt="Job Overview" width="30%" src="https://github.com/orangecoding/fredy/blob/master/doc/screenshot_3.png">
</p>
**Default Login:**
- Username: `admin`
- Password: `admin`
## Understanding the fundamentals
------------------------------------------------------------------------
There are 3 important parts in Fredy, that you need to understand to leverage the full power of _Fredy_.
## 📸 Screenshots
#### Provider
| Job Configuration | Job Analytics | Job Overview |
|-------------------|--------------|--------------|
| ![Screenshot showing job configuration in Fredy](doc/screenshot1.png) | ![Screenshot showing job analytics in Fredy](doc/screenshot_2.png) | ![Screenshot showing job overview in Fredy](doc/screenshot_3.png) |
_Fredy_ supports multiple services. Immonet, Immowelt and Ebay are just a few examples. Those services are called providers within _Fredy_. When creating a new job, you can choose one or more providers.
A provider contains the URL that points to the search results for the respective service. If you go to immonet.de and search for something, the displayed URL in the browser is what the provider needs to do its magic.
**It is important that you order the search results by date, so that _Fredy_ always picks the latest results first!**
------------------------------------------------------------------------
#### Adapter
## 🧩 Core Concepts
_Fredy_ supports multiple adapters, such as Slack, SendGrid, Telegram etc. A search job can have as many adapters as supported by _Fredy_. Each adapter needs different configuration values, which you have to provide when using them. An adapter dictates how the frontend renders by telling the frontend what information it needs in order to send listings to the user.
Fredy is built around three simple concepts:
#### Jobs
### Provider 🌐
A Job wraps adapters and providers. _Fredy_ runs the configured jobs in a specific interval (can be configured in `/conf/config.json`).
A **provider** is a real-estate platform (e.g. ImmoScout24, Immowelt,
Immonet, eBay Kleinanzeigen, WG-Gesucht).\
When you create a job, you paste the search URL from the platform into
Fredy.\
⚠️ Always make sure the search results are sorted by **date**, so Fredy
picks up the newest listings first.
## Creating your first job
### Adapter 📡
To create your first job, click on the button "Create New Job" on the job table. The job creation dialog should be self-explanatory, however there is one important thing.
When configuring providers, before copying the URL from your browser, make sure that you have sorted the results by date to make sure _Fredy_ always picks the latest results first.
An **adapter** is the channel through which Fredy notifies you (Slack,
Telegram, Email, ntfy, ...).\
Each adapter has its own configuration (e.g. API keys, webhook URLs).\
You can use multiple adapters at once --- Fredy will send new listings
through all of them.
## User management
### Job 📅
As an administrator, you can create, edit and remove users from _Fredy_. Be careful, each job is connected to the user that has created the job. If you remove the user, their jobs will also be removed.
A **job** combines providers and adapters.\
Example: "Search apartments on ImmoScout24 + Immowelt and send results
to Slack + Telegram."\
Jobs run automatically at the interval you configure (see
`/conf/config.json`).
# Development
------------------------------------------------------------------------
### Running Fredy in development mode
## Immoscout
Start the backend with:
Immoscout has implemented advanced bot detection. In order to work around this, we are using a reversed engineered version of their mobile api. See [Immoscout Reverse Engineering Documentation](https://github.com/orangecoding/fredy/blob/master/reverse-engineered-immoscout.md)
```shell
## Analytics
Fredy is completely free (and will always remain free). However, it would be a huge help if youd allow me to collect some analytical data.
Before you freak out, let me explain...
If you agree, Fredy will send a ping to my Mixpanel project each time it runs.
The data includes: names of active adapters/providers, OS, architecture, Node version, and language. The information is entirely anonymous and helps me understand which adapters/providers are most frequently used.</p>
**Thanks**🤘
## 🛠️ Development
### Development Mode
``` bash
yarn run start:backend:dev
```
For the frontend, run:
```shell
yarn run start:frontend:dev
```
You should now be able to access _Fredy_ from your browser. Check your Terminal to see what port the frontend is running on.
### Running Tests
### Run Tests
To run the tests, run
```shell
``` bash
yarn run test
```
# Architecture
------------------------------------------------------------------------
```mermaid
## 📐 Architecture
``` mermaid
flowchart TD
subgraph Jobs["Jobs"]
A1["Job 1"]
@@ -109,80 +166,36 @@ flowchart TD
C3["Provider 3"]
end
subgraph NotificationAdapters["Notification Adapters"]
F1["Notification Adapter 1"]
F2["Notification Adapter 2"]
F1["Adapter 1"]
F2["Adapter 2"]
end
A1 --> B["FredyRuntime"]
A2 --> B
A3 --> B
B --> C1 & C2 & C3
C1 --> D["Similarity-Check"]
C1 --> D["Similarity Check"]
C2 --> D
C3 --> D
D --> E{"Found<br>similarity?"}
D --> E{"Duplicate?"}
E -- No --> F1
F1 --> F2
style A1 fill:#fde9a0,stroke:#333333,color:#333333
style A2 fill:#fde9a0,stroke:#333333,color:#333333
style A3 fill:#fde9a0,stroke:#333333,color:#333333
style C1 fill:#c4c9f1,stroke:#333333,color:#333333
style C2 fill:#c4c9f1,stroke:#333333,color:#333333
style C3 fill:#c4c9f1,stroke:#333333,color:#333333
style F1 fill:#d2edba,stroke:#333333,color:#333333
style F2 fill:#d2edba,stroke:#333333,color:#333333
style B fill:#abd8f9,stroke:#333333,color:#333333
style D fill:#fab4a8,stroke:#333333,color:#333333
style E fill:#fffbb4,stroke:#333333,color:#333333
```
### Immoscout
------------------------------------------------------------------------
Immoscout has implemented advanced bot detection. In order to work around this, we are using a reversed engineered version of their mobile api. See [Immoscout Reverse Engineering Documentation](https://github.com/orangecoding/fredy/blob/master/reverse-engineered-immoscout.md)
## 👐 Contributing
# Analytics
Thanks to everyone who has contributed!
Fredy is completely free (and will always remain free). However, it would be a huge help if youd allow me to collect some analytical data.
Before you freak out, let me explain...
If you agree, Fredy will send a ping to my Mixpanel project each time it runs.
The data includes: names of active adapters/providers, OS, architecture, Node version, and language. The information is entirely anonymous and helps me understand which adapters/providers are most frequently used.</p>
**Thanks**🤘
<a href="https://github.com/orangecoding/fredy/graphs/contributors"><img src="https://contrib.rocks/image?repo=orangecoding/fredy" /></a>
# Docker
See the [Contributing
Guide](https://github.com/orangecoding/fredy/blob/master/CONTRIBUTING.md).
Use the Dockerfile in this repository to build an image.
------------------------------------------------------------------------
Example: `docker build -t fredy/fredy /path/to/your/Dockerfile`
## ⭐ Star History
Or use docker-compose:
Example `docker-compose build`
Or use the container that will be built automatically.
`docker pull ghcr.io/orangecoding/fredy:master`
## Create & run a container
Put your config.json into a path of your choice, such as `/path/to/your/conf/`.
Example: `docker create --name fredy -v /path/to/your/conf/:/conf -p 9998:9998 fredy/fredy`
## Logs
You can browse the logs with `docker logs fredy -f`.
### 👐 Contributing
Thanks to all the people who already contributed!
<a href="https://github.com/orangecoding/fredy/graphs/contributors">
<img src="https://contrib.rocks/image?repo=orangecoding/fredy" />
</a>
See [Contributing](https://github.com/orangecoding/fredy/blob/master/CONTRIBUTING.md)
## Star History
[![Star History Chart](https://api.star-history.com/svg?repos=orangecoding/fredy&type=Date)](https://www.star-history.com/#orangecoding/fredy&Date)
[![Star History
Chart](https://api.star-history.com/svg?repos=orangecoding/fredy&type=Date)](https://www.star-history.com/#orangecoding/fredy&Date)

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@@ -1 +1 @@
{"interval":"60","port":9998,"workingHours":{"from":"","to":""},"demoMode":false,"analyticsEnabled":false}
{"interval":"60","port":9998,"workingHours":{"from":"","to":""},"demoMode":false,"analyticsEnabled":null}

View File

@@ -102,15 +102,15 @@ class FredyRuntime {
_filterBySimilarListings(listings) {
const filteredList = listings.filter((listing) => {
const similar = this._similarityCache.hasSimilarEntries(this._jobKey, listing.title);
const similar = this._similarityCache.hasSimilarEntries(listing.title, listing.address);
if (similar) {
/* eslint-disable no-console */
console.debug(`Filtering similar entry for job with id ${this._jobKey} with title: `, listing.title);
console.debug(`Filtering similar entry for title: ${listing.title} and address ${listing.address}`);
/* eslint-enable no-console */
}
return !similar;
});
filteredList.forEach((filter) => this._similarityCache.addCacheEntry(this._jobKey, filter.title));
filteredList.forEach((filter) => this._similarityCache.addCacheEntry(filter.title, listings.address));
return filteredList;
}

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@@ -1,26 +0,0 @@
import stringSimilarity from 'string-similarity';
//if the score is higher than this, it will be considered a match
const MAX_DICE_INDEX = 0.7;
export default (class SimilarityCacheEntry {
constructor(time) {
this.time = time;
this.values = [];
}
setCacheEntry = (entry) => {
this.values.push(entry);
};
getTime = () => {
return this.time;
};
hasSimilarEntries = (value) => {
if (this.values.length > 0) {
for (let i = 0; i < this.values.length; i++) {
const index = stringSimilarity.compareTwoStrings(value, this.values[i]);
if (index >= MAX_DICE_INDEX) {
return true;
}
}
}
return false;
};
});

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@@ -1,40 +1,116 @@
import SimilarityCacheEntry from './SimilarityCacheEntry.js';
import { config } from '../../utils.js';
//5 minutes
let retention = 5 * 60 * 1000;
const intervalInMs = config.interval * 60 * 1000;
//an interval below 5 mins sounds crazy, but there are ppl out there doing crazy shit.
if (intervalInMs <= retention) {
retention = Math.floor(intervalInMs / 2);
}
//jobid -> SimilarityCacheEntry
const cache = {};
let intervalId;
import crypto from 'crypto';
const retention = 60 * 60 * 1000;
/**
* cleanup
* Internal cache storage.
* Maps a SHA-256 hash (string) to its expiry timestamp (number in ms).
* @type {Map<string, number>}
*/
intervalId = setInterval(() => {
const keysToBeRemoved = [];
const entries = new Map();
/**
* Reference to the currently scheduled cleanup timer.
* @type {NodeJS.Timeout | null}
*/
let timer = null;
/**
* Generate a SHA-256 hash from a list of input strings.
* Null or undefined values are ignored.
*
* @param {...(string|null|undefined)} strings - Input values to hash
* @returns {string} Hexadecimal hash
*/
function toHash(...strings) {
return crypto.createHash('sha256').update(strings.filter(Boolean).join('|')).digest('hex');
}
/**
* Cleanup expired cache entries and schedule the next cleanup run.
* This function is invoked automatically by scheduled timers.
*
* @private
*/
function runCleanup() {
const now = Date.now();
Object.keys(cache).forEach((key) => {
if (cache[key].getTime() + retention < now) {
keysToBeRemoved.push(key);
}
});
if (keysToBeRemoved.length > 0) {
keysToBeRemoved.forEach((key) => delete cache[key]);
for (const [hash, expiry] of entries) {
if (expiry <= now) entries.delete(hash);
}
}, 10000);
export const addCacheEntry = (jobId, value) => {
cache[jobId] = cache[jobId] || new SimilarityCacheEntry(Date.now());
cache[jobId].setCacheEntry(value);
};
export const hasSimilarEntries = (jobId, value) => {
if (cache[jobId] == null) {
scheduleNext();
}
/**
* Find the soonest expiry timestamp among all cache entries
* and schedule a one-shot timer that will trigger at that time.
* Cancels any existing timer before scheduling a new one.
*
* @private
*/
function scheduleNext() {
if (timer) {
clearTimeout(timer);
timer = null;
}
let next = Infinity;
const now = Date.now();
for (const expiry of entries.values()) {
if (expiry > now && expiry < next) next = expiry;
}
if (next !== Infinity) {
timer = setTimeout(runCleanup, Math.max(0, next - now));
}
}
/**
* Add or refresh a cache entry for the given title and address.
* The entry will automatically expire after the configured retention window.
*
* @param {string} title - The title used to build the cache key
* @param {string} address - The address used to build the cache key
*/
export function addCacheEntry(title, address) {
const hash = toHash(title, address);
const expiry = Date.now() + retention;
entries.set(hash, expiry);
scheduleNext();
}
/**
* Check if a cache entry with the same title and address exists
* and is still valid (not expired).
*
* @param {string} title - The title used to build the cache key
* @param {string} address - The address used to build the cache key
* @returns {boolean} True if a valid cache entry exists, false otherwise
*/
export function hasSimilarEntries(title, address) {
const hash = toHash(title, address);
const expiry = entries.get(hash);
if (expiry == null) return false;
if (expiry <= Date.now()) {
entries.delete(hash);
scheduleNext();
return false;
}
return cache[jobId].hasSimilarEntries(value);
};
export const stopCacheCleanup = () => {
clearInterval(intervalId);
};
return true;
}
/**
* Stop any scheduled cleanup timers and prevent further automatic cleanup.
* Entries that are already in the cache will remain until removed manually
* or until cleanup is started again by adding new entries.
*/
export function stopCacheCleanup() {
if (timer) clearTimeout(timer);
timer = null;
}
/**
* this is only for test purposes
*/
export function invalidateAllForTest() {
for (const key of entries.keys()) {
entries.set(key, 0);
}
runCleanup();
}

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@@ -1,6 +1,6 @@
{
"name": "fredy",
"version": "11.5.0",
"version": "11.6.0",
"description": "[F]ind [R]eal [E]states [d]amn eas[y].",
"scripts": {
"prepare": "husky",
@@ -11,7 +11,7 @@
"build:frontend": "vite build",
"format": "prettier --write \"**/*.js\"",
"format:check": "prettier --check \"**/*.js\"",
"test": "mocha --loader=esmock --timeout 60000 test/**/*.test.js",
"test": "node --import ./test/esmock-loader.mjs ./node_modules/mocha/bin/mocha.js --timeout 60000 test/**/*.test.js",
"lint": "eslint .",
"lint:fix": "yarn lint --fix"
},
@@ -59,6 +59,7 @@
"@rematch/loading": "2.1.2",
"@sendgrid/mail": "8.1.5",
"@visactor/react-vchart": "^2.0.4",
"@visactor/vchart": "^2.0.4",
"@visactor/vchart-semi-theme": "^1.12.2",
"@vitejs/plugin-react": "5.0.2",
"better-sqlite3": "^12.2.0",
@@ -75,7 +76,7 @@
"node-mailjet": "6.0.9",
"p-throttle": "^8.0.0",
"package-up": "^5.0.0",
"puppeteer": "^24.18.0",
"puppeteer": "^24.19.0",
"puppeteer-extra": "^3.3.6",
"puppeteer-extra-plugin-stealth": "^2.11.2",
"query-string": "9.2.2",
@@ -89,7 +90,6 @@
"restana": "5.1.0",
"serve-static": "2.2.0",
"slack": "11.0.2",
"string-similarity": "^4.0.4",
"vite": "7.1.4",
"x-var": "^2.1.0"
},

4
test/esmock-loader.mjs Normal file
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@@ -0,0 +1,4 @@
import { register } from 'node:module';
import { pathToFileURL } from 'node:url';
register('esmock', pathToFileURL('./'));

View File

@@ -1,40 +1,30 @@
import SimilarityCacheEntry from '../../lib/services/similarity-check/SimilarityCacheEntry.js';
import { expect } from 'chai';
import * as similarityCache from '../../lib/services/similarity-check/similarityCache.js';
describe('similarityCheck', () => {
describe('#similarityCheck()', () => {
it('should be false', () => {
const check = new SimilarityCacheEntry(0);
check.setCacheEntry('Hallo');
expect(check.hasSimilarEntries('Welt')).to.be.false;
});
it('should be true', () => {
const check = new SimilarityCacheEntry(0);
check.setCacheEntry('Hallo');
expect(check.hasSimilarEntries('hallo')).to.be.true;
});
it('should be true', () => {
const check = new SimilarityCacheEntry(0);
check.setCacheEntry('Selling an incredible house in san francisco');
expect(check.hasSimilarEntries('incredible house in san francisco for sale')).to.be.true;
});
it('should be true', () => {
const check = new SimilarityCacheEntry(0);
check.setCacheEntry('a');
check.setCacheEntry('b');
check.setCacheEntry('c');
check.setCacheEntry('d');
expect(check.hasSimilarEntries('b')).to.be.true;
});
it('should be false', () => {
const check = new SimilarityCacheEntry(0);
check.setCacheEntry(
'The index is known by several other names, especially SørensenDice index,[3] Sørensen index and Dice\'s coefficient. Other variations include the "similarity coefficient" or "index", such as Dice similarity coefficient (DSC). Common alternate spellings for Sørensen are Sorenson, Soerenson and Sörenson, and all three can also be seen with the sen ending.',
);
check.setCacheEntry(
'where |X| and |Y| are the cardinalities of the two sets (i.e. the number of elements in each set). The Sørensen index equals twice the number of elements common to both sets divided by the sum of the number of elements in each set.',
);
expect(check.hasSimilarEntries('unrelated text')).to.be.false;
});
it('should return true on duplicate', () => {
similarityCache.addCacheEntry('Hello World', 'Test');
expect(similarityCache.hasSimilarEntries('Hello World', 'Test')).to.be.true;
});
it('should return true even if one value is null', () => {
similarityCache.addCacheEntry('Hello World', null);
expect(similarityCache.hasSimilarEntries('Hello World', null)).to.be.true;
});
it('should return true even if one value is an obj', () => {
similarityCache.addCacheEntry('Hello World', [{ TR: 'OLOLO' }]);
expect(similarityCache.hasSimilarEntries('Hello World', [{ TR: 'OLOLO' }])).to.be.true;
});
it('should return false when no duplicate', () => {
similarityCache.addCacheEntry('Hello World__', 'Test');
expect(similarityCache.hasSimilarEntries('Hello World___', 'Test')).to.be.false;
});
it('should return false when no duplicate', () => {
expect(similarityCache.hasSimilarEntries('Hello World', 'Test')).to.be.true;
similarityCache.invalidateAllForTest();
expect(similarityCache.hasSimilarEntries('Hello World', 'Test')).to.be.false;
});
});

View File

@@ -1754,7 +1754,7 @@
resolved "https://registry.yarnpkg.com/@visactor/vchart-theme-utils/-/vchart-theme-utils-1.12.2.tgz#bad0035e79dabbe80890bbd6196668551a12c874"
integrity sha512-PkgSAivtUZukCWVUGCXxKcbTzI/oMj1Ky22VYcVs/KM4VFmmCywU2xjBBe1du0LUey6CAKB7bMlj5bL2jctG0A==
"@visactor/vchart@2.0.4":
"@visactor/vchart@2.0.4", "@visactor/vchart@^2.0.4":
version "2.0.4"
resolved "https://registry.yarnpkg.com/@visactor/vchart/-/vchart-2.0.4.tgz#36770240ae6ffd84fa285b7610192f2e06a56299"
integrity sha512-/NWBQFYd5A52I8Bkp+iod2LAhBo4cQcxt+xazrmJ/5L17Gk/LdUqCRpnF5dk3XncHb4ls+SRNGkH4kf0rNH2Mg==
@@ -2860,10 +2860,10 @@ devlop@^1.0.0, devlop@^1.1.0:
dependencies:
dequal "^2.0.0"
devtools-protocol@0.0.1475386:
version "0.0.1475386"
resolved "https://registry.yarnpkg.com/devtools-protocol/-/devtools-protocol-0.0.1475386.tgz#5378401a2c5698ab68c3482c9b7816ff62ec652b"
integrity sha512-RQ809ykTfJ+dgj9bftdeL2vRVxASAuGU+I9LEx9Ij5TXU5HrgAQVmzi72VA+mkzscE12uzlRv5/tWWv9R9J1SA==
devtools-protocol@0.0.1495869:
version "0.0.1495869"
resolved "https://registry.yarnpkg.com/devtools-protocol/-/devtools-protocol-0.0.1495869.tgz#f68daef77a48d5dcbcdd55dbfa3265a51989c91b"
integrity sha512-i+bkd9UYFis40RcnkW7XrOprCujXRAHg62IVh/Ah3G8MmNXpCGt1m0dTFhSdx/AVs8XEMbdOGRwdkR1Bcta8AA==
diff@^7.0.0:
version "7.0.0"
@@ -5984,15 +5984,15 @@ punycode@^2.1.0:
resolved "https://registry.yarnpkg.com/punycode/-/punycode-2.3.1.tgz#027422e2faec0b25e1549c3e1bd8309b9133b6e5"
integrity sha512-vYt7UD1U9Wg6138shLtLOvdAu+8DsC/ilFtEVHcH+wydcSpNE20AfSOduf6MkRFahL5FY7X1oU7nKVZFtfq8Fg==
puppeteer-core@24.18.0:
version "24.18.0"
resolved "https://registry.yarnpkg.com/puppeteer-core/-/puppeteer-core-24.18.0.tgz#444388d619de422f1d325b313942f46fa2925d96"
integrity sha512-As0BvfXxek2MbV0m7iqBmQKFnfSrzSvTM4zGipjd4cL+9f2Ccgut6RvHlc8+qBieKHqCMFy9BSI4QyveoYXTug==
puppeteer-core@24.19.0:
version "24.19.0"
resolved "https://registry.yarnpkg.com/puppeteer-core/-/puppeteer-core-24.19.0.tgz#038f5229b9910f5daf717d5aaff3b63228afbf6c"
integrity sha512-qsEys4OIb2VGC2tNWKAs4U0mnjkIAxueMOOzk2nEFM9g4Y8QuvYkEMtmwsEdvzNGsUFd7DprOQfABmlN7WBOlg==
dependencies:
"@puppeteer/browsers" "2.10.8"
chromium-bidi "8.0.0"
debug "^4.4.1"
devtools-protocol "0.0.1475386"
devtools-protocol "0.0.1495869"
typed-query-selector "^2.12.0"
ws "^8.18.3"
@@ -6043,16 +6043,16 @@ puppeteer-extra@^3.3.6:
debug "^4.1.1"
deepmerge "^4.2.2"
puppeteer@^24.18.0:
version "24.18.0"
resolved "https://registry.yarnpkg.com/puppeteer/-/puppeteer-24.18.0.tgz#7bb2668b219fed4f23aa98ac1650766f4306b743"
integrity sha512-Ke8oL/87GhzKIM2Ag6Yj49t5xbGc4rspGIuSuFLFCQBtYzWqCSanvqoCu08WkI78rbqcwnHjxiTH6oDlYFrjrw==
puppeteer@^24.19.0:
version "24.19.0"
resolved "https://registry.yarnpkg.com/puppeteer/-/puppeteer-24.19.0.tgz#86cef2d1cc45066c9f5ed9edabf93b2d3b206eb3"
integrity sha512-gUWgHX36m9K6yUbvNBEA7CXElIL92yXMoAVFrO8OpZkItqrruLVqYA8ikmfgwcw/cNfYgkt0n2+yP9jd9RSETA==
dependencies:
"@puppeteer/browsers" "2.10.8"
chromium-bidi "8.0.0"
cosmiconfig "^9.0.0"
devtools-protocol "0.0.1475386"
puppeteer-core "24.18.0"
devtools-protocol "0.0.1495869"
puppeteer-core "24.19.0"
typed-query-selector "^2.12.0"
qs@^6.14.0:
@@ -6899,11 +6899,6 @@ string-argv@^0.3.2:
resolved "https://registry.yarnpkg.com/string-argv/-/string-argv-0.3.2.tgz#2b6d0ef24b656274d957d54e0a4bbf6153dc02b6"
integrity sha512-aqD2Q0144Z+/RqG52NeHEkZauTAUWJO8c6yTftGJKO3Tja5tUgIfmIl6kExvhtxSDP7fXB6DvzkfMpCd/F3G+Q==
string-similarity@^4.0.4:
version "4.0.4"
resolved "https://registry.yarnpkg.com/string-similarity/-/string-similarity-4.0.4.tgz#42d01ab0b34660ea8a018da8f56a3309bb8b2a5b"
integrity sha512-/q/8Q4Bl4ZKAPjj8WerIBJWALKkaPRfrvhfF8k/B23i4nzrlRj2/go1m90In7nG/3XDSbOo0+pu6RvCTM9RGMQ==
"string-width-cjs@npm:string-width@^4.2.0":
version "4.2.3"
resolved "https://registry.yarnpkg.com/string-width/-/string-width-4.2.3.tgz#269c7117d27b05ad2e536830a8ec895ef9c6d010"