Python ETL framework
Project description
Declarative ETL engine.
Example of usege
Let’s assume that we have a file named input_1
aaaaaaaaaaaaaaaaaaaaaabbbbbbbbbsome data 11 some data 2Y aaaaaaaaaaaaaaaaaaaaaabbbbbbbbbsome data 12 some data 2Y aaaaaaaaaaaaaaaaaaaaaabbbbbbbbbsome data 13 some data 2N
# helloworld.py
from kigo.etl.mapper.mapping import mapping
from kigo.etl.extractors.fabric import Extract
@mapping
class SomeClass:
data_1 = Extract.TextSlice[31:43]
data_2 = Extract.TextSlice[49:61]
What we expect is to have 3 instances of classes SomeClass where data_1 and data_2 will have proper ranges of data. For example first instance will look like:
data_1 -> 'some data 11' data_2 -> 'some data 2Y'
Documentation
Documentation and links to additional resources are available at https://www.asyncstack.org/kigo-etl
License
Apache 2.0. See LICENSE for details.
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
kigo-etl-0.0.9.tar.gz
(13.6 kB
view details)
File details
Details for the file kigo-etl-0.0.9.tar.gz.
File metadata
- Download URL: kigo-etl-0.0.9.tar.gz
- Upload date:
- Size: 13.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ed319eab945618235197593aaa8c09b3540d21d0fadd36eb9f6869c784b0cc51
|
|
| MD5 |
f5fec520576e24d1484097a17250a223
|
|
| BLAKE2b-256 |
116abe2a1a48972290865d4f71f51d0346567debcb9935526598e3bbf5161686
|