Paul Trowbridge
dd9f89f4b5
Add `pipekit export` / `pipekit apply` (pipekit/config_io.py) to serialise the DB's config — drivers, connections, modules (+ columns, watermarks, hooks), groups, schedules — to a git-trackable text tree under config/, and rehydrate it. SQLite stays runtime state; definitions become diffable/reviewable/ revertible. - config only: run_log/group_run/settings and per-run state columns excluded - name-keyed refs (portable across databases); source_query in .sql sidecars; columns as real JSON arrays for line-by-line diffs - newline-normalised so CRLF-vs-LF is never a spurious change - apply is create/update by name; child collections fully synced; top-level deletes gated behind --prune; --dry-run prints the plan - round-trip is identity (export -> apply --dry-run == nothing to do) Commits the current config/ as the first baseline, capturing the freshly populated columns_json for rm00101/rm00301/iv00101. Documented in SPEC.md. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
30 lines
685 B
JSON
30 lines
685 B
JSON
{
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"name": "mkptgroup",
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"source_connection": "S78030956",
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"dest_connection": "usmidsap02",
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"dest_table": "cms.mkptgroup",
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"staging_table": "pipekit_staging.mkptgroup",
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"merge_strategy": "full",
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"merge_key": null,
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"enabled": 1,
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"dest_description": "Marketing Part Group",
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"columns": [
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{
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"source_name": "MAPGROUP",
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"source_type": "CHAR(10)",
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"dest_name": "mapgroup",
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"dest_type": "text",
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"description": "PART GROUP"
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},
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{
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"source_name": "MAPGDESC",
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"source_type": "CHAR(60)",
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"dest_name": "mapgdesc",
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"dest_type": "text",
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"description": "GROUP DESC"
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}
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],
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"watermarks": [],
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"hooks": []
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}
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