All notable changes to this product will be documented in this file.
- Matchmaking Agent: Compliant to the TX EDC 0.7.3 management api
- Matchmaking Agent: Add connector allowance patterns to chart
- Matchmaking Agent: Ugrade to jetty 10.0.16
- Remoting Agent: Upgrade to tomcat 9.0.90 and zookeeper 8.1.4. Remove vulnerable solr support.
- Matchmaking Agent: Carve-Out of the SPARQL-Processor from Tractus-X EDC Agent Plane (KA-EDC) in order to hide graph data in the internal network.
- Matchmaking Agent: Implements a new API extension to upload/delete graph assets by ttl and csv.
- Remoting Agent: Deal with mapping of taxonomical constants to API elements. Support for JSON-serialization of partial results.
- Upgraded to the latest possible version of dependent libraries
- Remoting Agent upgraded to latest RDF4J distribution
- Provisioning Agent upgrade to latest Ontop release
- Upgraded to the latest possible version of dependent libraries
- Provisioning Agent (chart): Enable Integrated H2 Database Sample by correct user und group ids
- Provisioning Agent: Upgrade to Ontop 5.1.0
- Codestyle consistent with Tractus-X using checkstyle
- Remoting Agent: Debug the test/sample repository descriptions
- Cyclone DX Boms (we have dash)
- Remoting Agent: Asynchronous API calls
- Adapted all Catena-X namespaces to https://w3id.org/catenax
- Upgraded to best possible unvulnerable dependencies
- Eclipse Tractus-X standards and migration
- Conforming Agent: Implementation
- Support for SPARQL KA-transfer profile including the cx_warnings header
- Necessary documentation markdown for Eclipse Standard
- Helm Sub-Charts for Umbrella Embedding
- Postman Collection with Integration Tests
- SparQL Anything, PostgreSQL support
- Include depending artifacts via Maven/Docker
- Remoting Agent Batch Mode
- Added 2 Agent Implementations (Ontop, RDF4J)
- Include depending artifacts via Maven/Docker
- Tractus-X and Jena Links
- Spike Data
- Submodules to Apache Jena and Tractus-X
- Source Code and Data Samples for Three tenants
- Postman Collection with Spike Logic