vimdatautils

Vim python package to ingest data into a database

Features

InboundPipeline.py utility, used by a specific integration component
Data access layer (Dal), provides simplified methods to access data in postgres db

Installation

vimdatautils requires Python 3

pip install vimdatautils

Or to install/upgrade a specific version

pip install vimdatautils==<VERSION> --force-reinstall

Quickstart

InboundPipeline, you will need to implement two methods: pre_load_logic, post_load_logic

from vimdatautils.inbound_pipeline import InboundPipeline
class Inbound(InboundPipeline):
def pre_load_logic(self):
        print("this will be executed before the load!")

    def post_load_logic(self):
        print("this will be executed after the load!")

    def main():
        inbound = Inbound("config_file.json", "postgresql://postgres:password@127.0.0.1/postgres")
        inbound.execute()

Dal, import vimdatautils.dal, you will need to construct the dal with a postgres connection string in the below pattern
```
postgresql://<db_user>:<db_password>@<db_host>/db_name
```

from vimdatautils.dal import Dal

dal = Dal("postgresql://postgres:password@127.0.0.1/postgres")
dal.execute_cmd("select 1;")

Metadata

Release files for vimdatautils 0.79

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Built distribution (wheel)

Table of built distributions (wheels) for vimdatautils 0.79
File	Interpreter	ABI	Platform	Reset
vimdatautils-0.79-py3-none-any.whl 6.7 kB Jan 24, 2020	Python 3	none	any	Details

Release files / vimdatautils-0.79-py3-none-any.whl

Download URL	vimdatautils-0.79-py3-none-any.whl
Size	6.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`9220b618dd9c2cd70b228a9cf4e35a4db9a77c72859e937b54e27b290fe4dde7`
BLAKE2b-256 checksum How to use checksums	`39b97981625c05efca2331bab0d31b1b0a758ee194a95abe3c825069ac0edba4`
Upload date	Jan 24, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.9`