Ooh, that's neat... but doesn't give a search engine like output? What I really need is a results listing that shows some context for the search hit; I struck on the cell as a convenient proxy for that.
--tony On Friday, 11 May 2018 16:04:01 UTC+1, Grant Nestor wrote: > > You can also create a notebook to do this! > > ```py > import glob > > pattern = './**/*.ipynb' > query = 'vdom' > > for filepath in glob.iglob(pattern, recursive=True): > with open(filepath) as file: > s = file.read() > if (s.find(query) > -1): > print(filepath) > ``` > > It gets the job done and it's flexible and you're already using it! > > On Thursday, May 10, 2018 at 10:40:46 AM UTC-7, Tony Hirst wrote: >> >> Thanks for that. I also started dabbling with a simple lunr.js solution - >> initial notes here: >> https://blog.ouseful.info/2018/05/10/initial-sketch-searching-jupyter-notebooks-using-lunr/ >> >> Comments welcome... I need to walk the dog and ponder the actual >> usefulness - or otherwise - of this now. Minimal working demo throws up all >> sorts of issues. COunterpoint of the grep solution is also really useful. A >> third point of comparison would be a sqlite/datasette or >> sqlite/scriptedForm search tool. >> >> --tony >> >> On Wednesday, 9 May 2018 16:42:32 UTC+1, Grant Nestor wrote: >>> >>> A simple solution is to open a terminal in JupyterLab/Jupyter Notebook >>> and run the following: >>> >>> grep --include='*.ipynb' --exclude-dir='.ipynb_checkpoints' -rliw . -e >>> 'search >>> query' >>> >>> This will search your Jupyter server root recursively for files that >>> contain the whole word (case-insensitive) "search query" and only return >>> the file names of matches. >>> >>> More info: >>> https://stackoverflow.com/questions/16956810/how-do-i-find-all-files-containing-specific-text-on-linux >>> >>> On Tuesday, May 8, 2018 at 6:07:02 AM UTC-7, Tony Hirst wrote: >>>> >>>> Hi >>>> >>>> I'm working in an edu context, with notebooks being used to deliver >>>> interactive teaching materials, and one of the things we know students >>>> do is search over reference/resource materials. >>>> >>>> I was wondering if anyone has looked at simple search solutions for >>>> searching >>>> over jupyter notebooks, eg by dropping them into a lunr.js index using >>>> lunr.py, or adding them to sqlite (in which case, what sort of schema >>>> did you use?). >>>> >>>> In first instance, I was thinking of just indexing the markdown cells >>>> in each notebook, with a reference back to the original filepath. (I >>>> think effective code search may be a whole other issue.) There are >>>> also issues around whether to have views back into a complete >>>> notebook, or link to nbconverted html notebooks vs live running >>>> notebooks. >>>> >>>> V first steps in my thinking, just wondered if it's already work in p >>>> rogress somewhere? >>>> >>>> >>>> --tony >>>> >>> -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/0181120d-c805-4542-a892-76f3966e8bc2%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
