figure out why elasticsearch is being difficult

make progress on research part of bachelor project. wrote a page explaining sharding #edu

#thecompaniesapi heavy improvements for AI server ; schema cleanup done ; almost ready for reindexing ; began to implement that globe ; nice monday so far

1.0 (Upcoming version): Found a way to make my search feature work with MongoDB #securedfyi

1.0 (Upcoming version): Asked for help to figure out how to make each MongoDB document into separate elasticsearch types #securedfyi

Run Elastic search indexing #webtastic

cleaning up/rewriting search again #djangopackages

#thecompaniesapi progress on local query matching for our signal feature ; lots of small improvements on the bot ; new company actions select (we begin to have plenty of actions to leverage for each website!) ; also a bit of docker improvements ; nice sunday

overhauled another scraper/processor with much better tests and fixed several non-obvious bugs. I should have written tested upfront.

Worked on script

worked on a few backup/sync for #djangopackages and then worked through some new search features.

Saturday #djangopackages work on the new indexing/rules engine

finally roll with db schema (58 columns 🤠) #httpscop

🔎 more #lfk search work so I can start porting it to other projects

#thecompaniesapi mad progress this week ; full text / ai search working ; fixed lots of regressions ; spent night merging massive PRs and fixing all tests ; we are almost there! 😎

worked more on #djangopackages search v3

finally finished scraper and data looks good. a few hard refactors but I have a pretty good handle on spatula now.