内容摘录
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Uwazi is a flexible database application to capture and organise collections of information with a particular focus on document management. HURIDOCS started Uwazi and is supporting dozens of human rights organisations globally to use the tool.
Uwazi | HURIDOCS
Read the user guide
Installation guide
Dependencies
Production
Development
Dependencies
Before anything else you will need to install the application dependencies:
**NodeJs 20.19.6** For ease of update, use nvm.
**ElasticSearch 8.18.0** Please note that ElasticSearch requires Java. Follow the instructions to install the package manually, you also probably need to disable ml module in the ElasticSearch config file:
xpack.ml.enabled: false
**ICU Analysis Plugin (recommended)** Adds support for number sorting in texts and solves other language sorting nuances. This option is activated by setting the env var USE_ELASTIC_ICU=true before running the server (defaults to false/unset).
**MongoDB 7.0.24** The MongoDB installation needs to be configured as a Replica Set. It can be a single-node replica set, but Replica Set must be initialized. If you have a previous version installed, please follow the instructions on how to upgrade here.
**mongosh** The new mongosh dependency needs to be added.
**Yarn**
**pdftotext (Poppler)** tested to work on version 22.12 but it's recommended to use the latest available for your platform. Make sure to **install libjpeg-dev** if you build from source.
Production
Install/upgrade procedure
Development
If you want to use the latest development code:
There may be an issue with pngquant not running correctly. If you encounter this issue, you are probably missing the library **libpng-dev**. Please run:
Docker
Infrastructure dependencies (ElasticSearch, ICU Analysis Plugin, MongoDB, Redis and Minio (S3 storage) can be installed and run via Docker Compose. ElasticSearch container will claim 2Gb of memory so be sure your Docker Engine is alloted at least 3Gb of memory (for Mac and Windows users).
Development Run
This will launch a webpack server and nodemon app server for hot reloading any changes you make.
Webpack server
This will launch a webpack server. You can also pass --analyzeto get detailed info on the webpack build.
Testing
Unit and Integration tests
We test using the JEST framework (built on top of Jasmine). To run the unit and integration tests, execute
This will run the entire test suite, both on server and client apps.
Some suites need MongoDB configured in Replica Set mode to run properly. The provided Docker Compose file runs MongoDB in Replica Set mode and initializes the cluster automatically, if you are using your own mongo installation Refer to MongoDB's documentation for more information.
There are also Cypress components tests. It's recommended that Cypress tests are run with Chrome or Chrome based browsers.
You can run individual tests with the Cypress UI:
or you can run tests in headless mode:
End-to-End testing (e2e)
Running end-to-end tests requires a running Uwazi app. For End-to-End testing, we have a full set of fixtures that test the overall functionality. **It's not advised to run these tests on production environments**, since an incorrectly configured run can have unwanted effects on the production database.
Note that if you already have an instance running, this will likely throw an error of ports already being used. Only one instance of Uwazi may be run in the same port at the same time.
The Uwazi APP needs to run on a specific database and with a specific ElasticSearch index. This is configured via environment variables when starting the application.
Running tests with Puppeteer (legacy)
Start UWazi:
On a different console tab, run:
This will trigger a run of all the Puppeteer tests.
You can run test individually:
Running tests with Cypress
Start Uwazi:
On a different console tab, run:
This will open the Cypress interface where you can select the tests to run. It's recommended that Cypress tests are run with Chrome or Chrome based browsers.
You can run tests in headless mode, and run individual suites via:
Cypress tests that use our Information Extraction features need to run Uwazi together with a dummy service that mimics the external services needed for the features.
To run these tests you also need to add the following environment variables when running Uwazi:
Default login
The application's default login is admin / change this password now
Note the subtle nudge ;)
System Requirements
For big files with a small database footprint (such as video, audio and images) you'll need more HD space than CPU or RAM
For text documents you should consider some decent RAM as ElasticSearch is pretty greedy on memory for full text search
The bare minimum you need to be able to run Uwazi on-prem without bottlenecks is:
4 GB of RAM (reserve 2 for Elastic and 2 for everything else)
2 CPU cores
20 GB of disk space
For development:
8GB of RAM (depending on whether the services are running)
4 CPU cores
20 GB of disk space