Tags

4.0.0

* Implement Yaml.get_l2_sas_idp4(): select every product whose "Related to" contains DAST (data, metadata and quality sections)
* Match products by field alias instead of the Python attribute name, so bracketed names (e.g. IDP_SAS_[FE_H]_ALPHA_CORR) are no longer dropped; this also adds the missing [ALPHA_FE], [ELEM1_ELEM2] and [FE_H] SAPP/SPECTROSCOPY products to l2_sas_adp_schema.json
* Sort the "required" list so generated schemas are deterministic
* Regenerate the L2 schemas
* Integrate :
    * Data product model : 5.4.2
    * pipeline model: 1.0.16

3.9.0

Integrate :
* Data product model : 5.4.1
* pipeline model: 1.0.17

3.8.4

Integrate :
* Data product model : 5.3.1
* pipeline model: 1.0.16

Closes #32

3.8.3

Integrate :
* Data product model : 5.1.1
* pipeline model: 1.0.15

3.8.2

Integrate :
* Data product model : 5.1.0
* pipeline model: 1.0.15

3.8.1

Integrate :
* Data product model : 5.1.0
* pipeline model: 1.0.14

3.8.0

Integrate :
* Data product model : 5.1.0
* pipeline model: 1.0.13

3.7.0

3.6.1

3.6.0

3.5.3

3.5.2

New version of the data model

3.5.1

Fixes in metadata and missing min/max

3.5.0

Add metadata from EVA's document
Integration MR from PSM about min/max for some MSAP and pipeline update

3.4.0

3.3.0

Update external schema

3.2.2

3.2.1

Fix max values for dp4_longterm_modulation

3.2.0

3.1.11