bump

llms_txt/__init__.py

@@ -1 +1 @@
-__version__ = "0.0.1"
+__version__ = "0.0.2"

llms_txt/core.py

@@ -1,20 +1,20 @@
 """Helpers to create and use llms.txt files"""
 
-# AUTOGENERATED! DO NOT EDIT! File to edit: ../nbs/00_core.ipynb.
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../nbs/01_core.ipynb.
 
 # %% auto 0
 __all__ = ['Sections', 'Project', 'parse_llms_file', 'Doc', 'Section', 'mk_ctx', 'get_sizes', 'llms_txt2ctx']
 
-# %% ../nbs/00_core.ipynb
+# %% ../nbs/01_core.ipynb
 import re
 
-# %% ../nbs/00_core.ipynb
+# %% ../nbs/01_core.ipynb
 from fastcore.utils import *
 from fastcore.xml import *
 from fastcore.script import *
 import httpx
 
-# %% ../nbs/00_core.ipynb
+# %% ../nbs/01_core.ipynb
 def _opt_re(s): return f'(?:{s})?'
 
 def _parse_llms_txt(txt):
@@ -24,20 +24,20 @@ def _parse_llms_txt(txt):
     match = re.search(pat, txt, flags=(re.DOTALL | re.MULTILINE))
     return match.groupdict() if match else None
 
-# %% ../nbs/00_core.ipynb
+# %% ../nbs/01_core.ipynb
 def _split_on_h2(text):
     parts = re.split(r'\n?## ', text)
     details = parts[0].strip() if parts[0].strip() else None
     sections = [f"## {p.strip()}" for p in parts[1:] if p.strip()]
     return details, sections
 
-# %% ../nbs/00_core.ipynb
+# %% ../nbs/01_core.ipynb
 def _parse_section(section):
     title = section.split('\n', 1)[0].strip('# ')
     links = re.findall(r'\[(.+?)\]\((.+?)\)(?:: (.+?))?(?=\n|$)', section)
     return title, [(t, u, d.strip() if d else None) for t, u, d in links]
 
-# %% ../nbs/00_core.ipynb
+# %% ../nbs/01_core.ipynb
 def parse_llms_file(txt):
     parsed = _parse_llms_txt(txt)
     if not parsed: return None
@@ -46,35 +46,35 @@ def parse_llms_file(txt):
     del parsed['rest']
     return dict2obj(parsed)
 
-# %% ../nbs/00_core.ipynb
+# %% ../nbs/01_core.ipynb
 Sections = partial(ft, 'sections')
 Project = partial(ft, 'project')
 
-# %% ../nbs/00_core.ipynb
+# %% ../nbs/01_core.ipynb
 def Doc(url, **kw):
     "Create a `Doc` FT object with the text retrieved from `url` as the child, and `kw` as attrs."
     re_comment = re.compile('^<!--.*-->$', flags=re.MULTILINE)
     txt = [o for o in httpx.get(url).text.splitlines() if not re_comment.search(o)]
     return ft('doc', '\n'.join(txt), **kw)
 
-# %% ../nbs/00_core.ipynb
+# %% ../nbs/01_core.ipynb
 def Section(nm, items):
     "Create a `Section` FT object containing a `Doc` object for each child."
     return ft(nm, *[Doc(title=title, url=url, detl=detl) for title,url,detl in items])
 
-# %% ../nbs/00_core.ipynb
+# %% ../nbs/01_core.ipynb
 def mk_ctx(d, optional=True):
     "Create a `Project` with a `Section` for each H2 part in `d`, optionally skipping the 'optional' section."
     skip = '' if optional else 'Optional'
     sections = [Section(k, v) for k,v in d.sections.items() if k!=skip]
     return Project(title=d.title, summary=d.summary, details=d.details)(*sections)
 
-# %% ../nbs/00_core.ipynb
+# %% ../nbs/01_core.ipynb
 def get_sizes(ctx):
     "Get the size of each section of the LLM context"
     return {o.tag:{p.title:len(p.children[0]) for p in o.children} for o in ctx.children}
 
-# %% ../nbs/00_core.ipynb
+# %% ../nbs/01_core.ipynb
 @call_parse
 def llms_txt2ctx(
     fname:str, # File name to read

settings.ini

@@ -1,37 +1,27 @@
 [DEFAULT]
-# All sections below are required unless otherwise specified.
-# See https://github.com/fastai/nbdev/blob/master/settings.ini for examples.
-
-### Python library ###
 repo = llms-txt
-lib_name = %(repo)s
-version = 0.0.1
+lib_name = llms-txt
+version = 0.0.2
 min_python = 3.8
 license = apache2
 black_formatting = False
-
-### nbdev ###
 doc_path = _docs
 lib_path = llms_txt
 nbs_path = nbs
 recursive = True
 tst_flags = notest
 put_version_in_init = True
 cell_number = False
-
-### Docs ###
 branch = main
 custom_sidebar = False
-doc_host = https://%(user)s.github.io
-doc_baseurl = /%(repo)s
-git_url = https://github.com/%(user)s/%(repo)s
-title = %(lib_name)s
-
-### PyPI ###
+doc_host = https://AnswerDotAI.github.io
+doc_baseurl = /llms-txt
+git_url = https://github.com/AnswerDotAI/llms-txt
+title = llms-txt
 audience = Developers
 author = Jeremy Howard
 author_email = [email protected]
-copyright = 2024 onwards, %(author)s
+copyright = 2024 onwards, Jeremy Howard
 description = The /llms.txt file, helping language models use your website
 keywords = nbdev jupyter notebook python LLMs NLP
 language = English
@@ -40,8 +30,10 @@ user = AnswerDotAI
 requirements = fastcore
 conda_user = fastai
 console_scripts = llms_txt2ctx=llms_txt.core:llms_txt2ctx
-
-### Optional ###
-# dev_requirements = 
-# package_data =
+readme_nb = index.ipynb
+allowed_metadata_keys = 
+allowed_cell_metadata_keys = 
+jupyter_hooks = False
+clean_ids = True
+clear_all = False