dlt-hub / dlt-hub/dlt

when yielding data from a resource, mark given value to be normalized

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Dominant language
Python
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1d 14h
Merged PRs (30d)
38

Description

**Goal**
We want to mark certain string values to be normalized according to naming convention used later in the pipeline. Compare such feature to `dlt.with_table` where we mark whole dictionary to be routed to table with given type.

**Motivation**
Quite often some lineage metadata is loaded with the data itself. For example in case of `pipedrive` we load a table with definitions of user defined fields. Those fields are present in `dlt` schema and their names are normalized like any other column names.

**Tasks**
1. * [ ] add `normalize` function in `dlt.mark` module. that will wrap a `str` in a string like object that will be serialized in `typed_dump` as a special type (like for example `Decimal` or `datetime`)
2. * [ ] when deserialized in normalizer, a `normalize_identifier` method from the current schema context will be applied to the value

Contributor guide

Open the contributing guide

Research direction

Start in the dlt.mark module and trace how typed_dump serializes special values such as Decimal or datetime. Then follow deserialization in the normalizer to the current schema context and its normalize_identifier method. Done means marked strings survive serialization and are normalized according to that schema context.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data-engineering
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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