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willitsync

Workflow

SlenderNodes

  1. Grab the devel branch of jevans97 SlenderNodes
  2. cd /path/to/SlenderNodes/schema_org/src

Create a Anaconda environment for python 3.7 like so

  1. conda env create -n willitsync37 --file=environment.yml
  2. conda activate willitsync37

OpenAPI

  1. If and only if there has been a change in the YAML configuration file, in another terminal window, cd into the openapi-generator folder and run the following to generate the code
$ java -jar modules/openapi-generator-cli/target/openapi-generator-cli.jar generate \
-i $HOME/git/willitsync/yaml-resolved/swagger.yaml \
--generator-name python-flask \
-o $HOME/git/willitsync/python-flask
  1. In a willitsync environment terminal window, run git status to see what has changed. Revert any files that you did not wish to change. It's quite possibly that you will want to restore all files listed by git status.
  2. cd python-flask

Install additional requirements to run the openapi server

  1. python -m pip install -r requirements.txt
  2. python -m pip install -r test-requirements.txt

Run the server

  1. python -m openapi_server

  2. In another terminal window (does not have to be a willitsync environment terminal window), you can test with

>>> import requests

>>> url = 'http://localhost:8080/jevans97utk/willitsync/1.0.2/robots'
>>> params = {'url':  'https://nytimes.com/robots.txt'}
>>> r = requests.get(url, params=params)
>>> r.json()
[{'evaluated_date': '2019-11-05T15:43:10',
  'log': None,
  'sitemaps': ['https://www.nytimes.com/sitemaps/www.nytimes.com/sitemap.xml.gz',
   'https://www.nytimes.com/sitemaps/new/news.xml.gz',
   'https://www.nytimes.com/sitemaps/sitemap_video/sitemap.xml.gz',
   'https://www.nytimes.com/sitemaps/www.nytimes.com_realestate/sitemap.xml.gz',
   'https://www.nytimes.com/sitemaps/www.nytimes.com/2016_election_sitemap.xml.gz',
   'https://www.nytimes.com/elections/2018/sitemap'],
  'url': 'https://nytimes.com/robots.txt'}]
>>> url = 'http://localhost:8080/jevans97utk/willitsync/1.0.2/so'
>>> params = {'url': 'https://www.archive.arm.gov/metadata/html/pghnoaaaosM1.b1.html'}
>>> r = requests.get(url, params=params) 
>>> r.json()['metadata']