jjinline_files 0.1.4

jj Inline files - "not so pythonic" files inside your code

Inline Files

This Python package to allow inline files -- files inside the program.

An inline file is a file stored within another file. This parent file can be any kind of file, but a .py file is preferred due to how an inline file is defined.

Synopsis

from jjinline_files import *
print(message, message2)

"""ILF
==> message
Hello World!

==> message2
And this is all for now.
"""

Definition

We use the following syntax to define an inline file:

r"""ILF
==> ID1
Hello World!

==> ID2:json
{
    "hello": "world"
}
"""

Inline files are defined inside a multiline comment or docstring. Each "file" starts with ==> ID or ==> ID:type, where ID is the inline file's name. In the example above, there are two inline files, "ID1" and "ID2". ID2 has a type json.

If a "file" has an explicit type, the "file" will be processed accordingly. For example, a JSON file will be processed using the json module importer. Default type is text file. Currently, the module supports the following types:

• text files (default) -- a (multiline) string
• json -- any
• yaml -- any
• jj2 -- jinja2 template -- defines a function(dict, **args)
• f -- a f-string -- defines a function(dict, **args)
• csv, tsv -- list(list(str))
• lines -- list(str)

File types and their importers

yaml and json

• typical uses: configuration files, knowledge representation
• perform yaml-parse(text);
• return a python value (list, dict, etc)

r"""ILF
from jjinline_files import *

print(f["filename"])

==> f:json
{
    "filename": "calendar",
    "extension": "json"
}

==> g:yaml
filename: file1
extension: yaml
"""

lines

• perform text.splitlines()
• return a list of strings

csv and tsv

• performs csv-parse(txt)
• return a list(list(strings))

templates : f (fstrings) and jinja2

• return a function. Parameter:(d:dict or **args) → string

from jjinline_files import *
print( ppname(name="James Bont") )

"""ILF
==> ppname:f
surname {name.split()[-1]}  fullname {name}

"""