pipekit/config/modules/tbfc.sql
Paul Trowbridge dd9f89f4b5 feat: version-control pipeline definitions via export/apply
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>
2026-07-22 10:56:55 -04:00

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SQL

SELECT
[Date] AS [date],
RTRIM([Account GL]) AS [account_gl],
[Amount] AS [amount],
RTRIM([FS Line]) AS [fs_line],
RTRIM([EBITDA]) AS [ebitda],
RTRIM([Entity]) AS [entity],
RTRIM([FS]) AS [fs],
RTRIM([Department Code]) AS [department_code],
RTRIM([Source]) AS [source],
RTRIM([Origin]) AS [origin]
FROM [FANALYSIS].[GS].[TBFC]