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Testing the ETL pipeline in detail. Committed to a schema.
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#!/bin/sh | ||
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pre-commit run --all | ||
pre-commit run --all-files | ||
python -m unittest discover -s server |
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"""Tools for working with all raw data files.""" | ||
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# CONSIDER: the FEC publishes what amounts to a relational dataset, and I | ||
# originally considered just dumping stuff into a massive SQLite database. | ||
# But then I got hooked on summarizing, and building fuzzy identifiers, and | ||
# the code took a different form. In retrospect, the existence of IGetNicknameIndex | ||
# and IGetCommittee just screams "dude, you shoulda used SQLAlchemy and done | ||
# some ETL on the inbound side to slim it down". | ||
# | ||
# So this comment asks me to revisit this, and consider it a TODO. |
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