Initial setup. GLobal gitignore
Initial commit. First database scraping script working. Grabs IMDB info related to Weta employees and adds them to Neo4j with relationships between movies
Updated readme with instructions
Added local imdb db to gitignore
Most recent weta scraper script
Added local sql version of scraper. Doesn't work.
Added str() tags to name printing
Added py2neo as submodule
Merge branch 'master' of https://github.com/Mystfit/dww-data-pipeline
Added more str() wrappers
Refactored into functions. Split between initial list of people being gathered, and trawling through employee filmography to create links between companies and people
Added commandline reset switch. Run script as 'python2 GetWeta.py reset' to clear neo4j.
More str() fixes
Added sanity check for searched company list length
Splitted employee scan and connections into functions called from sys arguments
Removed redundant imdb updates in node creation.
Added silent logging for node creation. Streamlined some prints
Added total counter to script output. Sanity checks for if certain keys exist in movies
Added fuzzywuzzy and imdbpy as submodules. Performance debugging traces for memory leaks added.
Updated submodules