Skip to main content

BO4E Migration Framework

Project description

BO4E Migration Framework (bomf)

BOMF is the BO4E Migration Framework. This repository contains the code of the Python package bomf.

Unittests status badge Coverage status badge Linting status badge Black status badge PyPi Status Badge

Rationale

bomf is a framework, that allows its users to migrate data

  • from source systems (starting with the raw data extracts)
  • into an intermediate, common BO4E based data layer.
  • From there map data to individual target system data models
  • and finally create records in target systems (aka "loading").

The framework

  • encourages user to program consistent data processing pipelines from any source to any target system
  • enforces users to adapt to structured and consistent patterns
  • and by doing so will lead to higher chances for maintainable and reusable code.

Architecture / Overview

The overall setup for a migration from 1-n source systems (A, B, C...) to 1-m target systems (1,2, 3...) might look like this:

graph TD
    A[Source System A] -->|System A DB Dump| A2[Source A Data Model: A JSON Extract]
    B[Source System B] -->|System B CSV Export| B2[Source B Data Model: B CSV Files]
    A2 -->|SourceAToBo4eDataSetMapper| C{Intermediate BO4E Layer aka DataSets}
    B2 -->|SourceBToBo4eDataSetMapper| C
    C -->|validations| C
    C -->|Bo4eDataSetToTarget1Mapper| D1[Target 1 Data Model]
    C -->|Bo4eDataSetToTarget2Mapper| D2[Target 2 Data Model]
    C -->|Bo4eDataSetToTarget3Mapper| D3[Target 3 Data Model]
    D1 -->L1[Target 1 Loader]
    D2 -->L2[Target 2 Loader]
    D3 -->L3[Target 3 Loader]
    L1 -->M1[Target System 1]
    L2 -->M2[Target System 2]
    L3 -->M3[Target System 3]

The Intermediate BO4E Layer (that consists of different so called DataSets) is kind of a contract between the code that maps from the source data model and the code that maps to the target data model.

Data Migration Flow

The migration of specific data from source to target is always the same:

graph TD
    A1{Source Data 1} -->|Export| B1(All source data 1 extracts)
    B1 -->C1[Filter on source data 1 model aka Pre-Select 1]
    A2{Source Data 2} -->|Export| B2(All source data 2 extracts)
    B2 -->C2[Filter on source data 2 model aka Pre-Select 2]
    C1 -->|do not match filter predicate| Z{discarded data}
    C1 -->|match filter criteria| M(Custom Logic: SourceDataSetToBo4EDataSetMapper) 
    C2 -->|do not match filter predicate| Z
    C2 -->|match filter criteria| M
    M -->|mapping| E(BO4E Data Sets)
    E -->F[Validation]
    F -->|obeys a validation rule|E
    F -->|violate any validation rule|Z
    F -->|passes all validations| G[BO4E to Target Mapper]
    G -->|mapping| H(target data model)
    H -->I[Target Loader]
    I -->|load target model|L1[Loader: 1. load to target]
    L1 -->|first: load to|T{Target System}
    L1 -->|then|L2[Loader: 2 optionally poll until target has processed data]
    L2 -->|second: poll until|T
    L2 -->|then|L3[Loader: 3 optionally verify the data have been processed correctly]
    L3 -->|finally: verify|T
    L3 -->|verification failed|Z
    L1 -->|loading failed|Z
    L3 -->|verification successful|Y[The End.]
    Z-->Z1[Monitoring and Logging]
    Z1-->Z2[Human Analyst]
    Z2 -.->|manually checks| T
    Z2 -.->|feedback: heuristically define new rules for|F
    Z2 -.->|feedback: heurisically define new filters for|C

How to use this Repository on Your Machine (Development)

Please follow the instructions in our Python Template Repository. tl;dr: tox.

Contribute

You are very welcome to contribute to this template repository by opening a pull request against the main branch.

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

bomf-0.11.3.tar.gz (21.1 kB view details)

Uploaded Source

Built Distribution

bomf-0.11.3-py3-none-any.whl (18.3 kB view details)

Uploaded Python 3

File details

Details for the file bomf-0.11.3.tar.gz.

File metadata

  • Download URL: bomf-0.11.3.tar.gz
  • Upload date:
  • Size: 21.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for bomf-0.11.3.tar.gz
Algorithm Hash digest
SHA256 d527a684d0c21c1145bc6318589030d6504b116a18c98002b604c5decf888699
MD5 3209daf4b72be6d01704b9c2e6d9e3d7
BLAKE2b-256 f03cebb491bd23f2c5d936f5ef480435034c512c181fa3c4c4f93eead61e827b

See more details on using hashes here.

File details

Details for the file bomf-0.11.3-py3-none-any.whl.

File metadata

  • Download URL: bomf-0.11.3-py3-none-any.whl
  • Upload date:
  • Size: 18.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for bomf-0.11.3-py3-none-any.whl
Algorithm Hash digest
SHA256 acb7272fa8996582e2d9dc84ba35cff910229387538fb11c018e2c332554708a
MD5 495c7cefa0af314100c73b01deddb652
BLAKE2b-256 67ca6921485d5667632c51d430df377d966d45f2ae38ff5de3eb858daf6836d7

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page