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')
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for followthemoney-store-2.1.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 14280a165c9fa800d25ebc1a3bdcd9555ed4520aaa8a2007a34ff536f4a7688c |
|
MD5 | b6db6abfba106f351de8f319fcb4319b |
|
BLAKE2b-256 | e691d237e795d63af6a4659bfc42ff880f56ec938b277dfdba2a58e00b6617b4 |
Close
Hashes for followthemoney_store-2.1.0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e85e6ddb4d07ffecbd9eab4bd2f7fa85c2410a42d88ec73144fe2ffc0a892c5d |
|
MD5 | 22e3390b41719c73c8919a5cf90fcbd6 |
|
BLAKE2b-256 | c6e61eacff141650879e4b77cbbf942ccc463b6762a88ec7b422589f738eac29 |