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https://github.com/arxiv/arxiv-browse

Flask app for article abstract and listing pages
https://github.com/arxiv/arxiv-browse

arxiv-ce flask in-production python

Last synced: 5 days ago
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Flask app for article abstract and listing pages

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README 

        
# arxiv-browse



## Running Browse with the Flask development server



You can run the browse app directly.



```bash

make venv

````



(the make rarely works)



or 



```bash

python --version

# 3.11.x

python -m venv ./venv

source ./venv/bin/activate

pip install poetry==1.3.2

poetry install

python main.py

```

Note -- make sure you have python dev installed befoore doing the above steps, or the `poetry install` will fail trying to build the mySQL library dependency. E.g.: `sudo apt-get install python3.11-dev`



Then go to http://127.0.0.1:8080/abs/0906.5132



This will monitor for any changes to the Python code and restart the server.

Unfortunately static files and templates are not monitored, so you'll have to

manually restart to see those changes take effect.



By default, the application will use the directory trees in

`tests/data/abs_files` and `tests/data/cache` and when looking for the document

metadata and PDF files. These paths can be overridden via environment variables

(see `browse/config.py`).



### Running Browse with .env file



First, you'd need to create the '.env' file somewhere. Using tests/.env is suggested.



    export GOOGLE_APPLICATION_CREDENTIALS=

    export BROWSE_SQLALCHEMY_DATABASE_URI="mysql://browse:@127.0.0.1:1234/arXiv"

    export DOCUMENT_ABSTRACT_SERVICE=browse.services.documents.db_docs

    export ABS_PATH_ROOT=gs://arxiv-production-data

    export DOCUMENT_CACHE_PATH=gs://arxiv-production-data/ps_cache

    export DOCUMENT_LISTING_PATH=gs://arxiv-production-data/ftp

    export DISSEMINATION_STORAGE_PREFIX=gs://arxiv-production-data

    export LATEXML_ENABLED=True

    export LATEXML_INSTANCE_CONNECTION_NAME=arxiv-production:us-central1:latexml-db

    export LATEXML_BASE_URL=https://browse.arxiv.org/latexml

    export FLASKS3_ACTIVE=1



You need a SA cred to access the db, and the cloud-sql-proxy running.

For LATEXML_INSTANCE_CONNECTION_NAME, you may need to ask someone who knows the db.

(This is obviously a production DB.)



You can find the browse password here:

https://console.cloud.google.com/security/secret-manager/secret/browse-sqlalchemy-db-uri/versions?project=arxiv-production



If you have a PyCharm,

script: main.py

Enable env files

   Add tests/.env



![docs/development/pycharm-run-setting.png](docs/development/pycharm-run-setting.png)



### SA Credentials



Your SA needs followings:



* Cloud SQL Client

* Secret Manager Secret Accessor

* Storage Object Viewer



Save the private key somewhere on your local machine. Optionally save it in 1password.



### Running cloud-sql-proxy



Once you have the google SA private key, you can run the cloud-sql-proxy.



```bash

main proxy

``` 



NOTE: cloud_sql_proxy and cloud-sql-proxy (new) have different options.

In this, only describes the new as you probably don't have the old one.



	cloud-sql-proxy --address 0.0.0.0 --port 1234 arxiv-production:us-east4:arxiv-production-rep4



If the proxy is working, you can use mysql client to connect to the db.



```bash

mysql -u browse -p --host 127.0.0.1 --port 1234 arXiv

Enter password: 

...

Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.



mysql> show tables;

+------------------------------------------+

| Tables_in_arXiv                          |

+------------------------------------------+

| Subscription_UniversalInstitution        |

````



### Test suite



Run the main test suite with the following command:



```bash

pytest tests

```



### Running Browse in Docker

You can also run the browse app in Docker. The following commands will build and

run browse using defaults for the configuration parameters and will use the test

data from `tests/data`. Install [Docker](https://docs.docker.com/get-docker/) if

you haven't already, then run the following:



```bash

script/start

```



This command will build the docker image and run it. If all goes well,

http://localhost:8000/ will render the home page.



### Configuration Parameters



See `browse/config.py` for configuration parameters and defaults). Any of these

can be overridden with environment variables.



### Serving static files on S3



We use [Flask-S3](https://flask-s3.readthedocs.io/en/latest/) to serve static

files via S3.



After looking up the AWS keys and region and bucket:

```bash

cd arxiv-browse

git pull

AWS_ACCESS_KEY_ID=x AWS_SECRET_ACCESS_KEY=x \

 AWS_REGION=us-east-1 FLASKS3_BUCKET_NAME=arxiv-web-static1 \

 pipenv run python upload_static_assets.py

```



In AWS -> CloudFront, select the static.arxiv.org distribution, -> Invalidations -> Create invalidation,

and enter a list of url file paths, eg: /static/browse/0.3.4/css/arXiv.css.



It may be help to use a web browser's inspect->network to find the active release version.



### Tests and linting for PRs

There is a github action that runs on PRs that merge to develop. PRs for which

these tests fail will be blocked. It is the equivalent of running:



```

# if there are Python syntax errors or undefined names

flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics



pytest tests

```



### Setting up pytest in PyCharm



![docs/development/pycharm-run-setting.png](docs/development/pycharm-pytest.png)