mo
ea3e59cf9c
Trino Federation tab (3 sub-views): - Federated: catalog landscape + a single cross-source SQL that joins PostgreSQL + MySQL + MongoDB (region scorecard) — the federation proof, computed in the background and cached (large full scans take ~2 min). - Hadoop Lake: all federated business data materialized as external Iceberg tables on HDFS (iceberg.hadoop.*_ext, ~120k rows each) with live, fast business analytics (revenue by region/channel, top customers, HR by department, supply by type, telemetry averages). Includes a one-click "rebuild external tables" job. - Data Dictionary: every business table + column with masked / visible PII badges and categories. Backend trino_federated.py: /catalogs, /marquee(+refresh), /lake, /materialize(+status), /dictionary. Name-based PII detection flags raw PII in derived/lake tables as visible vs physically-masked curated layer. LLM context: platform_context now emits a full BUSINESS DATA CATALOG section (tables, columns, types, source row counts, federated scorecard) with exact per-column masked/visible status, so the assistant knows the data in detail and what is masked vs not.
12 lines
928 B
Docker
12 lines
928 B
Docker
FROM python:3.12-slim
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WORKDIR /app
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RUN apt-get update && apt-get install -y --no-install-recommends curl && rm -rf /var/lib/apt/lists/*
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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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 trino_federated.py hive_bench_seed.json .
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RUN mkdir -p /data
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ENV DATABASE_URL=sqlite:////data/atc-agents.db
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EXPOSE 3201
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "3201"]
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