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feat: Spark Workbench everywhere, autonomous Hadoop offload & LLM masking-aware

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- Data Hub with Hadoop tab (HDFS/Iceberg browser, Spark, pipeline)
- Databricks-style Lakehouse Workbench (Trino engine, live exec matrix,
  materialize to Iceberg/S3); reused & embedded in every source-DB UI
- HDFS -> Kafka -> Spark -> Iceberg/S3 pipeline; WebHDFS hostname resolver
- Data Flow master pulse switch (Run/Pause/Stop) gating animated edges
- Data Custodian autonomous Hadoop offload loop (batch counterpart to CDC),
  pulsing source -> HDFS edges; toggle in Data Flow
- LLM now autonomously aware of all latest platform changes (live platform
  context) and enforces masking policy: never reveals masked PII, still
  answers helpfully with aggregates/explanations
This commit is contained in:
mo
2026-06-27 19:37:50 +00:00
parent 5828113f53
commit 46b9c50e73
39 changed files with 5476 additions and 725 deletions
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@@ -4,7 +4,7 @@ WORKDIR /app
RUN apt-get update && apt-get install -y --no-install-recommends curl && rm -rf /var/lib/apt/lists/*
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY main.py lab_context.py agent_terminal.py workload.py node_registry.py node_ops.py topology_views.py supervisor.py approval_service.py db.py dockhand_envs.py presentation.py database_inventory.py presentation_upload.py presentation_static.py storage_s3.py elasticsearch_api.py sql_console.py hdfs_api.py ssh_terminal.py pipeline_ops.py hadoop_analytics.py agent_ops.py cdc_consumer.py movements.py dataflow.py pii_catalog.py hive_bench_seed.json .
COPY main.py lab_context.py agent_terminal.py workload.py node_registry.py node_ops.py topology_views.py supervisor.py approval_service.py db.py dockhand_envs.py presentation.py database_inventory.py presentation_upload.py presentation_static.py storage_s3.py elasticsearch_api.py sql_console.py hdfs_api.py ssh_terminal.py pipeline_ops.py hadoop_analytics.py agent_ops.py cdc_consumer.py movements.py dataflow.py streaming_ops.py spark_workbench.py hadoop_sql.py hdfs_kafka.py webhdfs_util.py pii_catalog.py platform_context.py hive_bench_seed.json .
RUN mkdir -p /data
ENV DATABASE_URL=sqlite:////data/atc-agents.db
EXPOSE 3201