Store raw and structured FollowTheMoney data from different datasets in a data lake
Project description
followthemoney-store
This library provides methods to store, fetch and list entities formatted as
followthemoney data as datasets stored in a SQL backend.
Usage
Command-line usage
# Insert a bunch of FtM entities into a store:
$ cat ftm-entities.ijson | ftm store write -d my_dataset
# Re-create the entities in aggregated form:
$ ftm store iterate -d my_dataset | alephclient write-entities -f my_dataset
If you don't want to keep the balkhash dataset generated above, there's a shortcut that combines the write and iterate functions:
$ cat ftm-entities.ijson | ftm store aggregate | alephclient write-entities -f my_dataset
Python Library
from ftmstore import Dataset
dataset = Dataset("US-OFAC")
dataset.put(entity, fragment='1')
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