The deploy failed:
dockerfile parse error on line 50: unknown instruction: BOQ_BUILD_SHA=dev
I appended BOQ_BUILD_SHA=dev after an ENV block that had no trailing
continuation, so it became a standalone Dockerfile instruction. It was also
wrong-headed: it would have overridden the real SHA baked in by ARG with the
literal string 'dev'. The ARG/ENV pair further up already does the job.
This one is on me. I changed a Dockerfile, pushed it, and told the user to
redeploy, without ever building the image. The earlier deploy was fine
precisely because that image HAD been built and run first.
Verified before pushing this time:
docker build --build-arg BUILD_SHA=51e4600 -> ok
container reports BOQ_BUILD_SHA=51e4600
/_stcore/health -> ok
Central Towers converts inside the image: 192 written, 167 correct,
23 unplaced, 0 formulas clobbered, gate not blocked
The profile store was write-only: the app saved each consultant's detected
column map and displayed it, but every run re-detected from scratch. So the
original promise - drop their file in and it knows the format - wasn't kept,
and worse, the sidebar could show a stale map that didn't match the file in
front of you.
Now the saved map is applied, with two guards:
- it is only used when the columns it names still exist and still make sense
for THIS file, so a template that changed shape falls back to detection
- 'Re-detect from scratch' in the sidebar overrides it deliberately
The hint path runs the same data verification and description-run derivation as
the fresh path. Without that a warm run placed 194 lines and a cold one placed
192 - both defensible, but a converter that gives two answers to the same pair
of files cannot be trusted on a tender. Cold and warm are now identical on both
sample pairs.
Also: the build SHA is baked in at image build time and shown in the sidebar,
because 'is my deploy current?' is otherwise unanswerable from outside -
Streamlit serves a client-rendered shell, so curl cannot see which commit is
serving.
Reads our Candy PDF (deterministically, no OCR or model needed) and populates
the consultant's own workbook using their formulas, column layout and PAYMENT
column. Nothing is ever silently overwritten: every disagreement is reported,
can be settled inside the app, and regenerated.
- extract Candy text PDF -> tree (x-position column detection)
- template layout detect, sequence align, write, totals, overrides
- validate qty x rate and children-vs-subtotal reconciliation
- profiles per-consultant layout profiles, stored on a volume
Shipped with a Dockerfile + docker-compose for Coolify.
