feat: implement tensor friendly json and cypher graph serializers - #14
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- Built decoupled `CypherSerializer` mapped against "Column as Node" outputs adhering to strictly declarative `CREATE` operations managing downstream idempotency logic natively via structural variables formatting escaping cleanly. - Implemented `JsonSerializer` resolving string references to strictly contiguous integer indexing natively aligning downstream external Graph Neural Network tensor expectations accurately. - Centralized all serialization formats under unified `GraphExporter` accessible consistently through datacontract-cli mapping behavior. - Included full end-to-end integration tests natively parsing DataContract files resolving YAML correctly testing output shapes against mocked expectations accurately enforcing relationships behaviors comprehensively avoiding any test mock leakage cleanly. Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
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Implement
JsonSerializer(tensor ID mapped) andCypherSerializer(CREATEidempotent execution).Consolidate the architecture natively inside
contracthub/exporters/graph_exporter.pyregistering explicitly againstdatacontract-cliexporter mapping using standard--export-args '{"format": "cypher"}'parsing logic directly.Fully tested via
DataContract()object initialization mapped explicitly against core testing fixtures guaranteeing complete native test execution correctly resolving all relationship configurations seamlessly executing perfectly natively.PR created automatically by Jules for task 2530397524747058571 started by @ElliotSun