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-3.0.5.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ae415033a8d8af780fcc25b911c0b41b6b8fdd829859dfc4d368e02905a30e72 |
|
MD5 | 1df6ca88c2ace04544479452f7689739 |
|
BLAKE2b-256 | a818334e07446ee2e39605d48ef573f1d3540d6c6e21a32ea62c5754c6012835 |
Close
Hashes for followthemoney_store-3.0.5-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3af0fd0b48a05e8c330b628f06013f483d53268adf4862c74cc35a5097b48412 |
|
MD5 | 7b6417b680bc2161260618139d093cd1 |
|
BLAKE2b-256 | 95034ec022dbff4735e3dbe340592620cc1e76976e5932e5f4b37442a4219c6f |