Module tf.app
Make use of a corpus.
The advanced-API provides extra functionality of top of the core of TF. The most notable things are downloading corpus data and methods for (pretty) display corpus material.
The real power of the advanced API is unleashed when there are well-tuned configuration settings for a corpus, and possibly some supporting application code and CSS styling.
This power can be invoked by a very simple command: use("org/repo")
.
For a detailed description, see tf.about.usefunc
.
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"""
Make use of a corpus.
The advanced-API provides extra functionality of top of the core of TF.
The most notable things are downloading corpus data and methods for (pretty)
display corpus material.
The real power of the advanced API is unleashed when there are well-tuned configuration
settings for a corpus, and possibly some supporting application code and CSS styling.
This power can be invoked by a very simple command: `use("org/repo")`.
For a detailed description, see `tf.about.usefunc`.
"""
from .advanced.app import findApp, useApp
def use(appName, *args, backend=None, **kwargs):
"""Make use of a corpus.
For a detailed description, see `tf.about.usefunc`.
Parameters
----------
appName: string
backend: string, optional None
If present, it is `github` or `gitlab`
or a GitLab instance such as `gitlab.huc.knaw.nl`.
If absent, `None` or empty, it is `github`.
args: mixed
Do not pass any other positional argument!
kwargs: mixed
Used to initialize the corpus app that we use.
That is either an uncustomised `tf.advanced.app.App` or
a customization of it.
Returns
-------
A: object
The object whose attributes and methods constitute the advanced API.
See Also
--------
tf.advanced.app.App
"""
(appName, checkoutApp, dataLoc, backend) = useApp(appName, backend)
return findApp(appName, checkoutApp, dataLoc, backend, False, *args, **kwargs)
def collect(backend, org, repo):
"""Collect the data of the corpus in a zip file.
The app, main data, data of standard modules of a corpus will be zipped
into a file `complete.zip` and saved in your downloads folder,
in a nested folder by backend, org and repo.
It is assumed that you have cloned the repo of the corpus and the repos
of all of its standard modules.
The latest version will be used.
You can also do this completely from the command line.
Go to the toplevel of your local clone and say:
```
tf-zipall
```
The complete.zip is created in your downloads folder, under your backend,
org, and repo.
"""
A = use(f"{org}/{repo}:clone", checkout="clone", backend=backend)
A.indent(reset=True)
msg = A.zipAll()
A.info(msg)
Functions
def collect(backend, org, repo)
-
Collect the data of the corpus in a zip file.
The app, main data, data of standard modules of a corpus will be zipped into a file
complete.zip
and saved in your downloads folder, in a nested folder by backend, org and repo.It is assumed that you have cloned the repo of the corpus and the repos of all of its standard modules.
The latest version will be used.
You can also do this completely from the command line.
Go to the toplevel of your local clone and say:
tf-zipall
The complete.zip is created in your downloads folder, under your backend, org, and repo.
def use(appName, *args, backend=None, **kwargs)
-
Make use of a corpus.
For a detailed description, see
tf.about.usefunc
.Parameters
appName
:string
backend
:string
, optionalNone
- If present, it is
github
orgitlab
or a GitLab instance such asgitlab.huc.knaw.nl
. If absent,None
or empty, it isgithub
. args
:mixed
- Do not pass any other positional argument!
kwargs
:mixed
- Used to initialize the corpus app that we use.
That is either an uncustomised
App
or a customization of it.
Returns
A
:object
- The object whose attributes and methods constitute the advanced API.
See Also