6 Commits

Author SHA1 Message Date
79a4b457b0 docs: bring the rollout plan's later steps up to date with the backfill
The headline and the new backfill step were current, but step 11 and
"what this will not fix" still carried pre-backfill figures. The backfill
did not just change the totals — it changed step 11's population.

Before it, nine records held refunds dated before their own first order:
660 refunds worth $15,237.02. Seven of those were shared-location twins
whose refunds only looked orphaned because their orders had never been
imported; replaying the window gave them their orders and the refunds
stopped predating them.

Two are left, and they are a different case — neither shares a Square
location, so there is no twin holding the other half:

  NG4S  first order 2026-05-29  79 refunds  $2,180.08  10 days
  NGPS  first order 2026-05-26  81 refunds  $2,167.60   7 days

Step 11 now recommends trying backfill-history on them first, with a
window reaching back before their first order, since that is exactly what
resolved the other seven.

"What this will not fix" re-measured: 122 days / $2,379.45, of which 106
are real trading days ($1,151.80) and 16 are refunds with no sales
imported ($1,227.65). Only 3 of the trading days are on shared-location
records, all already diagnosed. The other 103 days and $502.96 have been
identical in every run of this analysis — deactivated, live, and
backfilled — and are the floor this work reaches.

Also adds the backfill's ~5.9 hour runtime to the up-front table, and
notes that "two entities per Square object" holds automatically for new
imports but needs step 5 for existing history.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-16 19:04:50 -07:00
1558851c18 feat(square): backfill history so shared-location records converge
Re-keying stops two client records on one Square location fighting over a
record, but it does not make their books equal. Sales orders have always
been keyed by client, so each record built its own order history from the
start. Refunds, payouts and cash-drawer shifts were not, so only ONE
record holds each of them — whichever imported it last. The migration
freezes that ownership rather than evening it out.

The record left without them shows returns from its own orders and no
refunds against them. NGBK held 158,535 orders and five refunds. On
2026-05-11 both NGBK and NGBR held the same 221 orders; NGBK had no
refunds, NGBR had two worth $2,232.29, and NGBK was out by $2,232.29 to
the cent.

Rather than manufacture copies, ask Square again. Client-scoped keys mean
each record now creates its own copy of whatever it reads, so replaying a
window converges the two histories with no code inventing a duplicate.
`backfill-history` does that for a date range across orders, payouts,
refunds and shifts. After it, all ten pairs held matching order and
refund counts.

Fixes a capped read found by doing this: the refunds import asked Square
for a location's refunds and read only the first page — no cursor, no
date range. Square pages at a hundred, so a location with more refunds
silently returned a hundred and the response looked complete. That is why
each twin held almost exactly 100 refunds and why an earlier import added
exactly 1,000 across ten locations. `refunds`/`upsert-refunds` now follow
the cursor and accept a window.

Re-measured from the same fresh restore, duplicates left active:

  before  1,191 days out of balance / $70,276.50
  after     122 days out of balance / $2,379.45   (32 material)
            1,069 into balance, 0 out, 0 already-balanced days altered

The shared records went from 423 days / $18,508.39 to 3 days / $648.84 —
NGBK and NGBR at $299.42 each (the known tender-versus-order gap) and
NGDA at $50.00 (auto-gratuity as a service charge). The zero-regression
guarantee is restored too: the six days that broke without the backfill
were tips reversed on one record whose refund sat on the twin, and all
six closed once both sides had their own copy.

This beats retiring the duplicate records, which left 279 days and
$7,790.54, and it needs no decision about whose history to abandon.

Unchanged across every run: for the 190 clients that do not share a
location, 119 days and $1,730.61, same five restaurants.

Cost: 5.9 hours for ninety days across twenty records. Every Square call
shares one 25 req/s throttle, refunds and shifts cost one API call each,
and backfill-history imports three clients at a time. Reads are not the
limit — existing-id measures 32 microseconds.

31 tests, 76 assertions.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-16 17:58:59 -07:00
4a1817711d docs: re-measure from a fresh restore with the duplicates left active
The report's figures were taken with one client record of each shared
pair deactivated and a live Square import run afterwards. That is no
longer how this deploys — both records stay live and the re-key is what
separates them — so the numbers described a configuration that will not
exist.

Re-run from scratch: fresh restore of backup point 209608347 (verified
back to 16,545,495 charges and legacy keys before starting), the new
month-wise migration, then two full ninety-day recomputes.

  before  1,451 days out of balance / $81,023.96
  after     542 days out of balance / $20,239.00
            915 into balance, 6 out, 17,916 summaries untouched

Two corrections to claims that no longer hold:

- "zero days knocked out of balance" is now six. All six are the same
  shape — the Tip line falls by a round amount and the day breaks by
  exactly that — and all six are on shared-location records. Each is a
  tip reversed on one record whose refund went to its twin: the fix makes
  a hidden mis-attribution visible rather than causing one.
- the migration takes ~38 minutes, not ~13. The month-wise walk adds
  per-month index overhead, and the earlier figure predated it.

What did NOT move is the part that should not. For the 190 clients that
do not share a Square location the residue is 119 days and $1,730.61 in
both runs, with the same five restaurants accounting for it (NG4S, NGMV,
NGEB, NGPS, N-30012). The arithmetic fixes behave identically whatever is
done to the duplicates, which is a stronger check than either run alone.

$18,508.39 of the $20,239.00 — 91% — sits on the twenty shared-location
records. The report now states plainly what retiring the duplicates would
be worth (~$12,000 of variance across ~260 client-days per ninety days),
while noting the comparison is not perfectly isolated because the earlier
run also included a live import.

Migration re-measured: 16,236,839 re-keyed, 500,438 cloned, plan reports
{:total 17045933 :to-migrate 0 :already-scoped 17045933 :unscopable 0},
and the multi-parent gate reads 0 across all 5,158,470 orders of the last
year. Step 10's refunds re-measured too: 660 worth $15,237.02 dated
before their own record's first order, 140 of the 171 no-sales days
falling before it.

31 tests, 76 assertions.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-16 09:59:32 -07:00
967e77e443 feat(square): walk the migration newest month first, so stopping early is safe
migrate-all! drove the charge split from all-order-ids, which streams
:aevt — ascending entity id, so oldest first. On the production copy that
means the first several hours are spent on 2019 and 2020 data no import
will ever read, leaving the recent end (the part the importer actually
touches) for last. Interrupt it there and the data is unmigrated exactly
where it matters.

Now:

- refunds, payouts and cash-drawer shifts run first. Together they are
  ~266k records and take seconds, so an interruption cannot leave them
  half done.
- the long order walk then runs a month at a time from the current month
  backwards, logging ::month-complete with per-month counts.

Stop it after any month and everything from that month forward is fully
scoped, so imports can resume against a partially migrated database and
the older tail can be finished later — the re-run skips what is done.
While a tail remains unmigrated, existing-id's ownership guard is what
keeps it safe.

order-months-newest-first tiles [start end] windows with no gaps (each
month ends the day before the next begins) and is bounded below by a
constant comfortably older than the oldest order. Windows are walked via
the :sales-order/client+date index. Verified against the restored copy:
141 windows from 2026-08 back, August returning 241,126 orders and July
476,235, each dated inside its window.

all-order-ids keeps its old behaviour but its docstring now warns that a
prefix of it is the oldest orders, not a sample — the trap that made an
earlier verification gate read 2019-2021 data.

31 tests, 76 assertions.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-16 08:35:02 -07:00
10d0d01b82 fix(square): do not resolve a record that belongs to another client
Two clients on one Square location double a day's tender in the window
between deploying and finishing the migration. Reproduced end to end:

  1. charge X carries the legacy key square/charge/P and belongs to
     client B's order
  2. client A's payout import resolves X through existing-id's legacy
     fallback and renames it into A's scope
  3. client B's next order import matches neither scheme, so it mints a
     second charge
  4. :sales-order/charges is cardinality-many and orders transact as
     plain maps, so nothing retracts the first

B's order ends up holding two charges for one payment — $200 of tender
for a $100 payment — and running the migration on that state produces
square/charge/BBB-LB-AAA-LA-P, the same double-scoped shape that already
doubled tender on five clients once during this work.

existing-id's legacy branch now declines any record already owned by a
different client, reading the owner attribute and, for charges that
predate :charge/client, the client of the referencing order. Declining is
also correct on its merits: the write then lands on this client's own
copy, which is what the scoped keys exist to create. The payout path also
writes :charge/client/:charge/location alongside the key, so a charge's
scope and its owner can no longer disagree.

The guard is transitional and gets deleted with the legacy branch it
protects, at rollout step 9.

Rollout resequenced for the decision to leave duplicate client records
active: no deactivation, no "which record survives" call, and the risk
window closed by pausing the importer across deploy + migrate rather than
by removing one of the two writers. Both records converge to independent
stable histories once every key carries its owner.

Also from review:

- migrate-all! now collision-checks the charge pass like the other three
  attributes instead of discovering a clash mid-run over 17M rows
- split-and-rekey-charges! logs progress every 200 batches; an
  interrupted 19M-order run left no trail
- unscoped-report's docstring no longer promises a zero its :no-owner
  column cannot reach; plan is named as the authoritative signal
- the rollout's pre-flight asked for a :collisions key plan never
  returns, so it silently passed on every database
- the multi-parent gate sampled (take 400000 (all-order-ids db)), which
  streams :aevt — ascending entity id — and so read the OLDEST 2% of
  orders: 2019-12-31 to 2021-06-03, before any of the contention it
  looks for. Now every order of the last year via the client+date index,
  5,159,787 on the restored copy, reading 0
- the report claimed same-client pairs get copied once batches split
  them. They do not, at any batch size; verified at batch-size 1 and now
  pinned by a test

30 tests, 72 assertions.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-16 08:09:53 -07:00
57a84dae11 fix(sales-summaries): stop days falling out of balance
Three faults were leaving restaurant days out of balance — one in the
data, two in the arithmetic — plus a fourth that turned out to be a
missing-data problem and is deliberately left visible. Measured over ninety days on a restored
copy of production (210 clients, 18,900 client-days): 1,258 days out of
balance and $69,560.10 becomes 279 days and $7,790.54 — of which 171 are
not arithmetic faults at all, but days whose sales were never imported.

979 days repaired, none knocked out of balance, and not one
already-balanced day altered — verified line by line (category, side,
amount to the cent, account), not just on each day's bottom line.

THE DATA FAULT

Ten Square locations were configured against two client records each.
Sales orders scoped their identifier by client; refunds, card payments,
payouts and cash-drawer shifts used the bare Square id. Those attributes
are :db.unique/identity, so both clients' imports resolved to a single
entity and the last writer won — 3,387 refunds, 4,069 payouts and 2,628
cash-drawer shifts changed hands over time, across 19 client pairs of
which only 10 are visible in today's configuration.

Worse, one payment could belong to two orders. :sales-order/charges is
:db/isComponent, so removing a voided order cascaded into payments the
other client still needed.

Fixes: client-scope the four key schemes; look the record up under both
schemes so the change deploys before the migration finishes; and a
migration that gives every order its own payment. Run over the whole
database that is 19,040,785 orders walked, 9,100,314 payments re-keyed
and 200,027 copied, ending with 17,047,142 payments scoped, none left to
rename, none unscopable, and no payment owned by more than one order.
Idempotent and resumable; about thirteen minutes.

THE ARITHMETIC FAULTS

- Refunded tips stayed on the books. get-tip summed tips by joining
  through :sales-order/charges, so a return-only order — no tender to
  join through — contributed nothing while its reversal sat unread on
  :sales-order/tip. Additive, not substitutive: where an order does have
  a tender the tender is the correct source.

- Service charges were collected but never earned. Nothing read
  :sales-order/service-charge. Now credited for Square orders only, both
  signs, behind summary-service-charges.

The flag is off by default, so deploying this changes nothing until a
client is opted in. docs/2026-08-15-sales-summary-rollout-plan.md has the
steps.

WHAT IS DELIBERATELY NOT FIXED

156 of the 279 remaining days carry refunds on a record that recorded no
sales at all that day, and 132 of those fall before that client's first
ever order. The refunds are not theirs: ownership history shows a $35.35
refund dated 26 February belonging to NGDG that day and taken over by
NGDU on 12 August, flipping between the two several times a day. Across
nine records, 659 refunds worth $15,225.24 sit on a record dated before
its own first order — unscoped keys let whichever import ran last take
ownership.

A rule closing those days was written and measured (156 days, $4,820.19,
nothing broken) and then removed. An unbalanced day is the only visible
signal that a restaurant's sales are not being imported; balancing it
would remove the alarm and leave the fire. A comment and a test hold that
decision in place. Step 9 of the rollout plan is the real fix, and it
needs a business decision.

SUPPORTING

- Install schema attributes before the tuples that compose them. A tuple
  in schema.edn is built from an attribute in cloud-migration-schema.edn,
  so every test fixture died in setup — very likely why sales summaries
  had no tests before this.
- Log each day's imbalance and its suspect lines.
- Bound the dirty-summary scan to one client: 1,321 ms to 5.6 ms.
- compare-sales-summaries lives in test/clj as auto-ap.tools.* — it is a
  verification harness, not part of the running application. Its
  docstring now warns that d/as-of cannot be used to compare summary
  amounts: :ledger-mapped/amount, ledger-side and account are
  :db/noHistory, so a recomputed summary reads back with its amounts
  absent and looks like a legitimate balanced day.

26 tests, 62 assertions.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-15 20:17:58 -07:00
10 changed files with 1017 additions and 562 deletions

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---
title: Sales Summary Balance — validation against a restored production backup
type: validation
date: 2026-08-15
status: measured
---
# Sales Summary Balance — validation against a restored production backup
Measures the two calculation fixes (R1 reversed tips, R2 Square service charges) against real
production data, and checks them against the predictions in
[`docs/plans/2026-08-13-fix-sales-summary-balance-plan.md`](plans/2026-08-13-fix-sales-summary-balance-plan.md).
**Headline: the fixes behave as predicted.** R2 clears 307 client-days with zero regressions.
After both fixes, the entire remaining dollar error outside the contended clients is $73.98,
and all but six client-days of it is sub-10¢ register rounding.
---
## 1. What was measured against
| | |
|---|---|
| Database | `datomic:dev://localhost:4337/integreat-prod-restore` |
| Restored from | `s3://integreat-backups/`, restore point **209608347** |
| Basis-t | 209608347 |
| Newest transaction | **2026-08-14 22:52 local** |
| Clients | 210 (106 with orders in the window) |
| Refunds / charges / orders | 50,986 / 16,545,495 / 19,039,575 |
| Window | 2026-07-13 → 2026-08-14 |
| Population | **3,342 client-days** |
The earlier restore in this directory was **stale** — the backup had written no root since
2025-03-10 even though segments kept uploading daily through 2026-07-12. A fresh production
backup on 2026-08-14 produced root 209608347, which is what this measures. The staleness was a
production backup failure of roughly 17 months, and is worth treating as its own issue.
The plan's population was 2,314 client-days because it counted existing summary entities. This
counts every client-day that actually has orders, which is the fuller denominator; percentages
are comparable, absolute counts are not.
## 2. Method
Each client-day is composed exactly as `sales-summaries-v2` composes it — the same
`get-sales`, `get-payment-items`, `get-refund-items`, `get-discounts`, `get-fees`, `get-tax`,
`get-returns` — and its imbalance taken as `d-ss/imbalance`, i.e. debits minus credits. Three
variants differ only in the tip and service-charge terms:
- **Baseline** — tips from tenders only, no service-charge credit. What production does today.
- **R1** — tips additive: tendered tips plus tips on orders carrying no tender.
- **R2** — R1 plus Square service charges, both signs.
Nothing was transacted. A day counts as off when `|imbalance| >= $0.005`, i.e. it does not
round to zero.
## 3. Results
| Stage | Days off | Clean | Total \|Δ\| |
|---|---|---|---|
| Baseline (production today) | 569 | 82.97% | $32,921.40 |
| + R1 additive tip | 493 | 85.25% | $32,437.67 |
| **+ R2 Square service charges** | **186** | **94.43%** | **$5,166.49** |
The plan predicted 82.7% clean at baseline including duplicates. Measured: **82.97%**.
### Fixed / regressed — the plan's pre-merge gate
| Change | Fixed | Regressed |
|---|---|---|
| R1 vs baseline | 78 | **2** |
| R2 vs R1 | 307 | **0** |
R2's gate — "days going balanced → unbalanced must be 0, or each explained" — **passes
outright**.
R1's two regressions are both days that balanced only because two errors cancelled, exactly the
mechanism the plan anticipated:
| Client | Date | Before | After | Untendered tip |
|---|---|---|---|---|
| NGCD | 2026-08-08 | $0.00 | +$11.80 | $11.80 |
| NGDG | 2026-08-05 | $0.00 | +$10.00 | $10.00 |
Both clients are halves of duplicate Square-location pairs (NGCD/NGCC, NGDG/NGDU), so these are
expected to resolve under Phase 0 rather than needing a change to R1.
## 4. Where the remaining error lives
Splitting the post-R2 residual by whether the client shares a Square location with another
client:
| Group | Client-days | Days off | Total \|Δ\| |
|---|---|---|---|
| 10 duplicate pairs (20 clients) | 546 | 112 | **$5,092.51** |
| Everyone else (96 clients) | 2,796 | 74 | **$73.98** |
**98.6% of the remaining dollar error sits in the contended clients** — which is Phase 0's to
fix, not a calculation defect. This is the plan's central claim, and it holds.
### The $73.98 residual, in full
| Client | Days | Total \|Δ\| | |
|---|---|---|---|
| PNSP | 30 | $0.91 | register rounding |
| PNLP | 26 | $0.77 | register rounding |
| GLAD | 12 | $0.20 | register rounding |
| NGEB | 2 | $45.00 | ezCater fee semantics (plan §15.4) |
| NGPS | 1 | $9.62 | unexplained |
| NGGB | 1 | $7.59 | partial final day |
| NGSC | 1 | $5.02 | partial final day |
| NGTY | 1 | $4.87 | partial final day |
Applying Phase 6's 10¢ materiality threshold leaves **6 material client-days**. The largest
sub-threshold day is **9.00¢**, so 10¢ separates rounding noise from real variance with no day
sitting near the boundary — the threshold is empirically justified, not arbitrary.
Three of the six material days — NGGB, NGSC, NGTY — all fall on **2026-08-14**, the day the
backup was taken at 22:52, and no other date carries more than one material day. They are
partial-day artifacts of the backup cut, not defects.
That leaves exactly the residual the plan predicted, to the cent:
- **NGEB 2026-08-10 $25.00** and **NGEB 2026-07-29 $20.00** — predicted
- **NGPS 2026-08-12 +$9.62** — predicted, still unexplained
## 5. Confirmed independently: the dropped refund line
The plan reports NGCD 2026-07-23 missing a $71.94 refund line because the refund belonged to
NGCC at recompute time. That client-day measures **+$71.94** out of balance here, and neither R1
nor R2 moves it — correct, since it is a duplicate-client defect rather than a calculation one.
## 6. Amendment to Phase 1 — charges that cannot be scoped
The re-key pre-flight was run against the restore.
**Refunds — clean.** All 50,986 carry both a client code and a location; 0 unscopable, 0
collisions. Collisions are in fact structurally impossible: the old key is `:db.unique/identity`
and the new key is a deterministic function of that same id plus client and location, so two
distinct entities cannot converge. The run confirms the reasoning.
**Charges — not clean.** Of 16,545,495 charges, **2,122,161 (12.8%) have neither
`:charge/client` nor `:charge/location`**, so they cannot be scoped from the entity itself.
A 5,000-entity sample profiles them as:
| | Count | Share |
|---|---|---|
| Referenced only by an expected-deposit, no total/type/date | 4,897 | 98% |
| Referenced by a sales order, real tender records | 290 | 5.8% |
| Orphaned — reachable from nothing | **0** | 0% |
These are stubs created by the payout path, which asserts `{:charge/external-id ...}` alone and
lets unique-identity upsert bring a bare entity into existence.
**Consequence:** Phase 1 cannot read scoping off the charge. The migration must derive client and
location from the referencing order or expected-deposit — roughly 123 K charges via orders and
2.0 M via deposits, extrapolated. Nothing is unreachable, so the phase remains feasible, but the
step as written in §4.2 would strand 12.8% of charges on the legacy scheme.
The payout call site in `square.core3` needs the same treatment: it constructs
`(str "square/charge/" payment-id)` and would keep minting legacy-scheme stubs after the cutover.
It has `client` and `location` in scope already, so the fix is local.
## 7. Not yet run
- **Phase 0** itself — deactivating the duplicate client per location, then re-measuring. The
numbers above isolate the contended clients rather than deactivating them.
- **Charges referenced by more than one order** (§3.3), the gate on any historical cleanup.
- The account for service charges is **49000 Service Income**, chosen to make measurement
possible. It does not affect balance at all — only whether a day can reach `accepted?` — so
every number here is independent of that choice.
---
# Part 2 — executed end to end on the restore
Part 1 measured what the fixes *would* do without writing anything. This part actually ran them:
Phase 0, the re-key migration, a live Square import, and a full recompute through the real job.
All windows re-cut to end **2026-08-13**, since the backup was taken mid-evening on the 14th and
that partial day was polluting the comparison.
## What was executed, in order
| Step | Result |
|---|---|
| Phase 0 — deactivate the newer twin at all 10 shared locations | 10 datoms retracted; no location shared by two clients any more |
| Phase 1 — re-key refunds | 50,986 re-keyed in 1.9 s, 0 collisions, 0 unscopable |
| Phase 1 — re-key contended clients' charges | 56,829 re-keyed, 0 collisions |
| **Count-unchanged assertion** | refunds 50,986 → 50,986, charges 16,545,495 → 16,545,495 |
| Live Square import, 10 surviving clients | all succeeded |
| Recompute | 6,720 client-days through `sales-summaries-v2` |
The count-unchanged assertion is the one that matters: 107,815 entities were re-keyed and **not a
single entity was created or destroyed**, which is what proves the expand step resolved legacy
keys rather than duplicating everything under the new scheme.
## Deduplication works on an ongoing basis
- **The deactivated twins received nothing.** Across all 10, orders and refunds were byte-identical
before and after a live import. Phase 0 holds.
- **Refunds stopped alternating and became two stable copies.** 98 of NGCC's 125 refunds are now
also held by NGCD as separate entities. Each client owns its own; neither can take the other's.
This is the intended behaviour of client-scoped keys, and it is what makes the data
reproducible — but note it double counts at the group level, which is why Phase 0 (one client
per location) is the actual fix and the re-key is the safety net.
### The dropped refund line, fixed
NGCD 2026-07-23 was out of balance by exactly **+$71.94** with no refund line, because the refund
belonged to NGCC at recompute time. After the full pipeline the summary carries a **"Card Refunds"
line of $71.94** and the day's imbalance is **9.1e-13 — zero**.
## Results
Reportable population excludes the 10 deactivated twins, which the plan says to exclude from
reporting.
| | Client-days | Days off | Clean | Total \|Δ\| |
|---|---|---|---|---|
| Before (production code, nothing applied) | 3,236 | 542 | 83.25% | $30,982.11 |
| **After (everything applied)** | 3,030 | **71** | **97.66%** | **$405.79** |
A **98.7% reduction in dollar error**. With the 10¢ materiality threshold, **5 material days
remain**:
| Client | Date | Δ | |
|---|---|---|---|
| NGBK | 2026-08-06 | +$299.42 | new — see below |
| NGDA | 2026-08-01 | $50.00 | the known auto-gratuity-as-service-charge order |
| NGEB | 2026-08-10 | $25.00 | ezCater fee semantics, predicted |
| NGEB | 2026-07-29 | $20.00 | ezCater fee semantics, predicted |
| NGPS | 2026-08-12 | +$9.62 | predicted, still unexplained |
The three predicted residuals reproduced exactly. NGBK 08-06 is new and appeared only after the
import: NGBK went from 5 refunds to 105, because it now holds its own copies of refunds that had
been sitting under its twin NGBR. That is the double-counting consequence of two clean copies, and
it is an argument for Phase 0 being the real fix rather than the re-key.
## Two defects found by executing rather than simulating
### 1. Re-keying a shared charge duplicates the tender
**Found by measurement, not by reading.** After the import, the contended clients' total imbalance
was **$441,045**, roughly 100× worse than predicted. The cause:
1. 35,870 of 56,829 charges had **two parent orders**, one per twin.
2. The migration's `scope-of` resolved such a charge through whichever referencing order it found
first — sometimes the twin's — so it was re-keyed to, say, `square/charge/NGDU-DU-<id>`.
3. On import, NGDG computed `square/charge/NGDG-DB-<id>`, did not find it, fell back to the legacy
key — which the migration had already removed — and so **created a second charge**.
4. `:sales-order/charges` is cardinality **many**, so the new charge was *added* beside the stale
one. One order, two tenders for one payment. Tender roughly doubled.
Confirmed on a single order: `square/order/NGDG-DB-IKiIDdTK…` referencing both
`square/charge/NGDU-DU-dEhvoH50…` and `square/charge/NGDG-DB-dEhvoH50…`.
This is exactly what plan §4.3 warned about — re-keying gives each charge one new key, it does not
**split** a charge with two parents — and it was under-weighted when the migration was written.
**Before this migration ships it needs one of:**
- split shared charges (clone per client) as part of the migration rather than re-keying in place, or
- have the order upsert *reset* its charge refs rather than accumulate them, or
- run the re-key only after the duplicate clients' orders are gone.
On the restore this was repaired by retracting 15,961 stale charge refs — for each order, keeping
the charge scoped to its own client — after which no order had two charges for one payment id, and
the contended clients' error fell from $441,045 to $1,492.
### 2. `dirty-sales-summaries` scans the whole index per client
```clojure
(dc/index-pull db {:index :avet :start [:sales-summary/client+dirty [client-id true]]})
```
There is no `:end`, and the client filter that follows is a lazy `filter` which does not stop the
scan. So for every client the job walks every summary of every client sorting after it, pulling
their items. It is O(n²) in the number of summaries.
Observed: the recompute ran at ~180 client-days/minute early and collapsed to ~3/minute as
summaries accumulated — a full pass took over two hours for 6,720 days. Adding an `:end` bound at
the client boundary should fix it.
## Method note
The 96 non-contended clients were measured from the **persisted summaries** the job wrote, and
came to $56.37 across 69 days — identical to the in-memory prediction in Part 1, which validates
the job path end to end. The 20 contended clients were re-measured in memory after the charge
repair, because a second full pass through the job would have taken hours for the reason in defect
2. The two methods agree exactly where both were run.
## Ongoing deduplication, with both clients active again
The re-key is meant to make contention impossible even if a location is configured on two clients
again. To test that rather than assume it, all 10 twins were **re-activated** — every location
shared once more — and the import re-run.
**Repeated imports are idempotent.** Three consecutive refund imports for both halves of the
Concord pair, with both clients live on location `L43Z5GMW72VMG`:
| | run 0 | run 1 | run 2 | run 3 |
|---|---|---|---|---|
| NGCC | 127 | 127 | 127 | 127 |
| NGCD | 1,419 | 1,419 | 1,419 | 1,419 |
Not one entity created or moved. Before the re-key this is the exact configuration that made a
refund's owner flip every ~20 minutes.
The first import after the migration is the only one that grows anything, and it grows once: NGCD
gained 100 refunds materialising its own copies, while NGCC — whose refunds already carried its
own scoped key — gained only the 2 that were genuinely new. After that, steady state.
**State the restore was left in:** twins re-activated, i.e. Phase 0 deliberately undone for this
test. Re-applying it is the ten-datom retraction recorded above.
---
# Part 3 — all summaries updated, fixes compared to baseline
Every summary in the database was recomputed — **14,458 client-days**, 2024-04-01 through
2026-08-14 — through `sales-summaries-v2`, with zero failures and zero left dirty. The
comparison below is the **last 30 days, 2026-07-15 → 2026-08-13**.
Both arms are measured on the same, already-deduplicated data (Phase 0 applied, refunds and the
contended clients' charges re-keyed, duplicate charge refs repaired), so this isolates what the
**calculation fixes** are worth on top of the deduplication work.
## Making the full recompute possible
Two changes were needed before recomputing everything was practical:
1. **`dirty-sales-summaries` scanned to the end of the index** (fixed in
`perf(sales-summaries)`): 1,321 ms → **5.6 ms** per client, a 237× improvement, identical
results.
2. **The driver was one serial `doseq`.** `refresh-client!` was split out of `sales-summaries-v2`
so a client's work stands alone. Spread across threads, the remaining 5,463 client-days
finished in about 90 seconds — the serial run was tracking at roughly nine more hours.
## Method
Baseline is derived rather than recomputed: R1 and R2 only ever *add credits*, so
```
baseline imbalance = fixed imbalance + untendered tip + service charges
```
This identity was checked against a full from-scratch baseline recomputation on 20 randomly
sampled client-days and agreed on every one, to within a hundredth of a cent.
## Results — last 30 days, excluding the 10 deactivated twins
2,842 client-days across 96 clients.
| | Days off | Clean | Total \|Δ\| | Material (≥10¢) |
|---|---|---|---|---|
| **Baseline** (production calculation) | 398 | 86.00% | $22,527.40 | 336 |
| **Fixed** (R1 + R2) | **67** | **97.64%** | **$405.66** | **5** |
**331 client-days fixed, 0 regressed.** Not one day that balanced under the baseline stopped
balancing under the fixes, across the whole window.
Including the deactivated twins (3,040 client-days) the picture is the same shape: 432 → 70 days
off, $25,622.98 → $1,548.64.
### What is left
| Client | Date | Δ | |
|---|---|---|---|
| NGBK | 2026-08-06 | +$299.42 | refunds now held by both twins — see below |
| NGDA | 2026-08-01 | $50.00 | auto-gratuity booked as a service charge |
| NGEB | 2026-08-10 | $25.00 | ezCater fee semantics, predicted by the plan |
| NGEB | 2026-07-29 | $20.00 | ezCater fee semantics, predicted by the plan |
| NGPS | 2026-08-12 | +$9.62 | predicted by the plan, still unexplained |
Everything else — 62 client-days — totals **$1.62**, with the largest single day at **9.00¢**.
The 10¢ materiality threshold cleanly separates register rounding from real variance, with
nothing sitting near the boundary.
NGBK is the one genuinely new residual and it is a consequence of the re-key rather than the
calculation: NGBK went from 5 refunds to 105 because it now holds its own copies of refunds that
had been sitting under its twin NGBR. Two stable copies is the intended behaviour, but it double
counts at the group level — which is the argument for Phase 0 being the real fix and the re-key
being the safety net.
### Representative days the fixes repair outright
| Client | Date | Baseline → Fixed |
|---|---|---|
| NTPT | 2026-08-06 | $427.10 → $0.00 |
| NGFO | 2026-07-16 | $275.23 → $0.00 |
| NGRN | 2026-08-06 | $236.96 → $0.00 |
| N-30008 | 2026-07-24 | $229.42 → $0.00 |
| N-30003 | 2026-07-18 | $225.00 → $0.00 |

View File

@@ -92,7 +92,7 @@
<header class="masthead">
<div class="eyebrow">Sales summaries · measured on a restored production backup</div>
<h1>Ninety-Day Reconciliation</h1>
<p class="standfirst">Three faults were leaving restaurant days out of balance — one in the data, two in the arithmetic. This is what they were, what they cost, and what fixing them is worth, measured by running the real job over ninety days of real trading, twice: once with the fixes off and once with them on.</p>
<p class="standfirst">Three faults were leaving restaurant days out of balance — one in the data, two in the arithmetic — and a fourth, found late, that is a missing-data problem wearing a balancing problem's clothes. This is what they were, what they cost, and what fixing them is worth, measured by running the real job over ninety days of real trading, twice: once with the fixes off and once with them on.</p>
<div class="meta">
<span><b>Window</b> 2026-05-10 → 2026-08-07</span>
<span><b>Client-days</b> <span class="num">18,900</span></span>
@@ -105,32 +105,33 @@
<div class="ledger">
<div>
<span class="side-label">Today's calculation, ninety days re-run</span>
<span class="figure num">$69,560.10</span>
<span class="subfig"><span class="num">1,258</span> days out of balance · <span class="num">93.34%</span> clean</span>
<span class="figure num">$70,276.50</span>
<span class="subfig"><span class="num">1,191</span> days out of balance · <span class="num">93.70%</span> clean</span>
</div>
<div class="arrow" aria-hidden="true"></div>
<div>
<span class="side-label">The same ninety days, fixes on</span>
<span class="figure after num">$7,790.54</span>
<span class="subfig"><span class="num">279</span> days out of balance · <span class="num">98.52%</span> clean</span>
<span class="figure after num">$2,379.45</span>
<span class="subfig"><span class="num">122</span> days out of balance · <span class="num">99.35%</span> clean</span>
</div>
</div>
<div class="stats">
<div class="stat"><span class="k num">979</span><span class="l">client-days brought into balance</span></div>
<div class="stat"><span class="k num">1,069</span><span class="l">client-days brought into balance</span></div>
<div class="stat zero"><span class="k num">0</span><span class="l">days knocked out of balance</span></div>
<div class="stat"><span class="k num">88.8%</span><span class="l">of the variance removed</span></div>
<div class="stat"><span class="k num">96.6%</span><span class="l">of the variance removed</span></div>
<div class="stat zero"><span class="k num">0</span><span class="l">payments shared between two clients</span></div>
</div>
<div class="measure">
<p><strong>In one sentence:</strong> a day's sales summary should show the money taken and the money earned agreeing to the penny, and on roughly one trading day in eight it did not — because two clients were fighting over the same records, tips that had been refunded were still counted as income, and service charges customers paid were credited to nothing.</p>
<p><strong>How the two figures above were produced.</strong> Both are the real nightly job, run over the same ninety days against the same restored database, writing real summaries each time — the first pass with the fixes switched off, the second with them on. Comparing a re-run against a re-run rather than against production's stored summaries is the stricter test: production's figures are in places months stale, and crediting the fixes with repairing ordinary staleness would flatter them. On that fairer footing the fixes are worth <strong>979 days and $61,769.56</strong>, not the larger number a stale baseline would have shown.</p>
<p><strong>How the two figures above were produced.</strong> Both are the real nightly job, run over the same ninety days against the same restored database, writing real summaries each time — the first pass with the fixes switched off, the second with them on. Comparing a re-run against a re-run rather than against production's stored summaries is the stricter test: production's figures are in places months stale, and crediting the fixes with repairing ordinary staleness would flatter them. On that fairer footing the fixes are worth <strong>1,069 days and $67,897.05</strong>, not the larger number a stale baseline would have shown. Both passes ran with the duplicate client records left active, which is how this will actually be deployed.</p>
<p><strong>Most of what is left is not a balancing fault at all</strong>, and the section on the fourth problem explains why deliberately leaving it unbalanced is the right call.</p>
</div>
</section>
<section>
<h2>The three problems</h2>
<h2>The four problems</h2>
<div class="problem">
<h4>1. Two client records sharing one Square location</h4>
@@ -160,6 +161,18 @@
<p><span class="tech">technical</span> <code>get-tip</code> summed tips by joining through <code>:sales-order/charges</code>, so a return-only order — which has no tender to join through — contributed nothing, while its reversal sat unread on <code>:sales-order/tip</code>. Nothing at all read <code>:sales-order/service-charge</code>.</p>
</div>
</div>
<div class="problem">
<h4>4. Refunds on records whose sales were never imported <span class="tech">not fixed — deliberately</span></h4>
<div class="measure">
<p><strong>This is why the duplicated restaurants looked so much worse than everyone else.</strong> Of the days still failing after the first three fixes, <strong>155 of the 423 on shared-location records had no sales orders at all</strong> — the summary consisted of nothing but refunds and their fees, with no sales for them to reduce.</p>
<p>The obvious reading is that the refund simply settled on a closed day. It is the wrong one. Checking each of those days against the date its client first recorded <em>any</em> order shows <strong>140 of 171 fall before that client had a single order in the system</strong> — for seven of the nine records affected, every single one does. These are not quiet days. They are periods where the sales were never imported at all.</p>
<p><strong>Where the refunds came from.</strong> Reading the database's own ownership history settles it. A $35.35 refund dated 26 February belonged to <span class="mono">NGDG</span> that same day, and was taken over by <span class="mono">NGDU</span> on 12 August. Others flip between the two records several times a day across 1215 August. <span class="mono">NGDU</span>'s first order is 2 August; it holds 94 refunds dated before it existed as a trading record. It never made them — it inherited seven months of the other record's refunds, because the refund key carried no client and whichever import ran last took ownership. That is fault 1, seen from the other end.</p>
<p>Across the nine records, <strong>660 refunds worth $15,237.02 sit on a record dated before that record's first order.</strong> Nothing is lost and nothing is double-counted — the money is real and the surviving record has its own copy — but it is filed against a set of books that has no sales to put it against.</p>
<p><strong>Why it is deliberately left out of balance.</strong> The day can be closed in one line: book a return equal to the day's refunds whenever the client recorded no sales. It is safe by construction — no trading day could be touched — and on this data it closes 16 of the 122 remaining days and $1,227.65. It was built, measured, and then removed, because it is the wrong thing to do. An unbalanced day is the only visible signal that a restaurant's sales are not being imported. Making the arithmetic agree would remove the alarm and leave the fire.</p>
<p><span class="tech">technical</span> <code>get-returns</code> sums <code>:sales-order/returns</code> over orders scanned for the date. With no orders the sum is nil and no <code>Returns</code> line is written, while <code>get-refund-items</code> still credits <code>Card Refunds</code> from the <code>sales-refund</code> records. The imbalance is the correct output for the input; the input is what is wrong. A test now pins this behaviour in place so it is not "fixed" by someone reading only the arithmetic.</p>
</div>
</div>
</section>
<section>
@@ -167,7 +180,8 @@
<div class="measure">
<p>Five changes. The first three stop two clients from sharing a record; the last two record
money that was being collected but not booked. Each is small — the difficulty was knowing
which line to change, not writing it.</p>
which line to change, not writing it. A sixth was written and then removed; it is described
at the end because the reasoning matters more than the code did.</p>
</div>
<h3>1 · Put the client in the record's name</h3>
@@ -212,10 +226,20 @@
<p>The result is pinned as the record's id on the way in, so the write lands on the existing
row regardless of which name it currently carries. The proof this worked is a count that did
not move. Every one of the 265,965 refunds, payouts and cash-drawer shifts in the database was
re-named, and afterwards there were still exactly <strong>144,688 payouts and 69,291 cash-drawer
shifts</strong> — the same figures as at the restore point. Refunds went from 50,986 to 51,986,
and all 1,000 of those came from the live Square import run afterwards, not from the renaming.
re-named, and afterwards there were still exactly <strong>50,986 refunds, 144,688 payouts and
69,291 cash-drawer shifts</strong> — the same three figures as at the restore point.
Had the fallback lookup been missing, each of these would have doubled instead.</p>
<p><strong>The fallback also has to refuse.</strong> Reading the old name is what stops
duplicates; reading <em>anyone's</em> old name is what creates them. Two clients share a Square
location, so client A's payout import can resolve a payment that belongs to client B's order,
rename it into A's scope, and leave B's next import matching neither name — at which point B
mints a second payment and, because an order's payments are a set that is added to rather than
replaced, B's order ends up holding both. That is a doubled day's tender, and it was
reproduced end to end before being fixed. The lookup now declines any record already owned by
a different client, which is also the right answer on its merits: the write then lands on this
client's own copy, which is what the scoped names exist to create.</p>
<p>This is transitional. Once no legacy names remain, the fallback and the refusal are deleted
together and the guarantee stops depending on either.</p>
</div>
<h3>3 · Give every order its own payment record</h3>
@@ -234,9 +258,9 @@
link it to the copy instead</pre>
</div>
<div class="measure">
<p>Run over the whole database that was <strong>9,100,314 renamed and 200,027 copied</strong>,
<p>Run over the whole database that was <strong>16,236,839 renamed and 500,438 copied</strong>,
and payments owned by two orders went from 11,469 in a 20,000-order sample to zero across
400,000 orders checked. The record count rose by exactly 200,027 — the number of copies it
every order of the last year. The record count rose by about 500,438 — the number of copies it
reported making, which is the check that it created what it meant to and nothing else.</p>
<p>One subtlety worth recording, because it bit us: the Square id has to be recovered from the
record's current owner rather than by trimming a fixed prefix. Client codes contain dashes —
@@ -295,6 +319,28 @@
few restaurants at a time.</p>
</div>
<h3>6 · The change that was written, measured, and then taken out</h3>
<div class="measure">
<p>Worth recording, because the arithmetic case for it is good and someone will propose it
again. Where a day has refunds and no sales orders whatsoever, book a <code>Returns</code>
debit equal to that day's refunds:</p>
</div>
<div class="scroll">
<pre>(defn- refund-only-returns [c date]
(when-not (traded? c date)
(let [amount (refunded-total c date)]
(when-not (zero? amount) amount))))</pre>
</div>
<div class="measure">
<p>It works. Measured over the same ninety days it closed <strong>171 days and $5,795.18</strong>,
knocked nothing out of balance, and altered no already-balanced day — the guard makes it
incapable of touching a day that traded.</p>
<p>It was removed anyway. Those days are not quiet days; they are days whose sales were never
imported, and closing them removes the only visible sign of that. What is left in the code is
a comment saying so and a test asserting the day <em>stays</em> out of balance, so the next
person to notice the arithmetic finds the reasoning before they find the fix.</p>
</div>
<h3>Supporting changes</h3>
<div class="scroll">
<table>
@@ -325,14 +371,14 @@
<table>
<thead><tr><th>Stage</th><th class="n">Days out of balance</th><th class="n">Clean</th><th class="n">Total variance</th></tr></thead>
<tbody>
<tr><td>Today's calculation, ninety days re-run</td><td class="n">1,258</td><td class="n">93.34%</td><td class="n">$69,560.10</td></tr>
<tr><td>+ refunded tips</td><td class="n">971</td><td class="n">94.86%</td><td class="n">$66,414.39</td></tr>
<tr class="total"><td>+ service charges</td><td class="n good">279</td><td class="n good">98.52%</td><td class="n good">$7,790.54</td></tr>
<tr><td>Today's calculation, ninety days re-run</td><td class="n">1,191</td><td class="n">93.70%</td><td class="n">$70,276.50</td></tr>
<tr><td>+ refunded tips</td><td class="n">890</td><td class="n">95.29%</td><td class="n">$67,032.09</td></tr>
<tr class="total"><td>+ service charges</td><td class="n good">122</td><td class="n good">99.35%</td><td class="n good">$2,379.45</td></tr>
</tbody>
</table>
</div>
<div class="measure">
<p><strong>Deduplication is not a row in this table, and that is deliberate.</strong> Separating the shared records is a change to the data, not to the arithmetic, and it had already been carried out before either pass ran — so both the baseline and the result above are computed on repaired data, and neither is credited with it. Its effect is shown structurally instead, further down: payments owned by two clients went to zero and stayed there. The consequence for reading this table is that <strong>$61,769.56 is what the two arithmetic fixes are worth on their own</strong>, with the deduplication's contribution already banked in the starting figure rather than added to the improvement.</p>
<p><strong>Deduplication is not a row in this table, and that is deliberate.</strong> Separating the shared records is a change to the data, not to the arithmetic, and it had already been carried out before either pass ran — so both the baseline and the result above are computed on repaired data, and neither is credited with it. Its effect is shown structurally instead, further down: payments owned by two clients went to zero and stayed there. The consequence for reading this table is that <strong>$66,589.75 is what the three arithmetic fixes are worth on their own</strong>, with the deduplication's contribution already banked in the starting figure rather than added to the improvement.</p>
</div>
<h3>Day-by-day effect of each change</h3>
@@ -340,16 +386,26 @@
<table>
<thead><tr><th>Change</th><th class="n">Unchanged</th><th class="n">Into balance</th><th class="n">Out of balance</th><th class="n">Balanced days altered</th><th class="n">Money moved</th></tr></thead>
<tbody>
<tr><td>Refunded tips</td><td class="n">18,590</td><td class="n good">287</td><td class="n good">0</td><td class="n good">0</td><td class="n">$3,712.67</td></tr>
<tr><td>Service charges</td><td class="n">18,208</td><td class="n good">692</td><td class="n good">0</td><td class="n good">0</td><td class="n">$58,349.85</td></tr>
<tr class="total"><td>Both, end to end</td><td class="n">17,916</td><td class="n good">979</td><td class="n good">0</td><td class="n good">0</td><td class="n">$61,769.56</td></tr>
<tr><td>Refunded tips</td><td class="n">18,571</td><td class="n good">301</td><td class="n good">0</td><td class="n good">0</td><td class="n">$4,027.21</td></tr>
<tr><td>Service charges</td><td class="n">18,129</td><td class="n good">768</td><td class="n good">0</td><td class="n good">0</td><td class="n">$64,752.64</td></tr>
<tr class="total"><td>Both, end to end</td><td class="n">17,827</td><td class="n good">1,069</td><td class="n good">0</td><td class="n good">0</td><td class="n">$67,897.05</td></tr>
</tbody>
</table>
</div>
<div class="measure">
<p><strong>Neither fix touched a day that was already correct.</strong> Across all 18,900 client-days, no balanced day was knocked out of balance, and no balanced day had a single figure altered — 17,916 summaries came out byte-identical, and every one of the 984 that moved was already wrong. Service charges are by far the larger of the two, moving $58,349.85 against the tip fix's $3,712.67.</p>
<p><strong>Neither fix touched a day that was already correct.</strong> Across all 18,900
client-days no balanced day was knocked out of balance, and no balanced day had a single
figure altered — 17,827 summaries came out byte-identical, and every one of the 1,073 that
moved was already wrong.</p>
<p>That claim did not hold on the first attempt, and how it was recovered is the useful part.
Measured before the historical backfill described below, six days broke — all of them a tip
reversed on one record whose refund sat on its twin, so removing the un-reversed tip left the
day short by exactly that amount. Replaying the window from Square gave both records their own
copy of every refund, and all six closed. The fix was never wrong; it was reading half a
transaction.</p>
<p>Service charges are by far the larger of the two fixes, moving $58,923.85 against the tip fix's $3,777.67.</p>
<p>That claim is stronger than a balance check, and it is the one worth insisting on: a day can stay balanced while its individual lines move, which would still be a change to the books. Every line of every summary was compared — category, debit or credit side, amount to the cent, and account — not just the day's bottom line.</p>
<p><strong>The two fixes account for the repair exactly.</strong> Adding up the untendered-tip and service-charge amounts for the 979 repaired days leaves a residue of <span class="mono">0.0000000013</span> against $61,769.56 of imbalance removed. Nothing else moved those days; there is no unexplained remainder hiding a third effect.</p>
<p><strong>The two fixes account for every day they moved, exactly.</strong> Adding up the untendered-tip and service-charge amounts across all 984 changed days leaves a residue of <span class="mono">0.0000000002</span>. Nothing else moved those days; there is no unexplained remainder hiding a third effect, and the six that broke are accounted for by the same arithmetic as the 915 that healed.</p>
</div>
</section>
@@ -418,10 +474,9 @@
<table>
<thead><tr><th>Step</th><th>Result</th></tr></thead>
<tbody>
<tr><td>Deactivate the duplicate client at each shared location</td><td class="n">10 locations · shared locations remaining: <span class="good">0</span></td></tr>
<tr><td>Walk every order in the database</td><td class="n">19,040,785 orders</td></tr>
<tr><td>Give every order its own payment record</td><td class="n">9,100,314 re-keyed · 200,027 copied</td></tr>
<tr><td><strong>Payments owned by two orders</strong></td><td class="n good">0 <span class="dim">across 400,000 orders checked</span></td></tr>
<tr><td>Walk every order in the database, newest month first</td><td class="n">19,040,785 orders · 38 minutes</td></tr>
<tr><td>Give every order its own payment record</td><td class="n">16,236,839 re-keyed · 500,438 copied</td></tr>
<tr><td><strong>Payments owned by two orders</strong></td><td class="n good">0 <span class="dim">across every order of the last year — 5,158,470</span></td></tr>
<tr><td>Client-scope refunds, payouts and cash-drawer shifts</td><td class="n good">counts unchanged · 0 collisions</td></tr>
<tr><td>Live Square import afterwards</td><td class="n good">0 orders with duplicated payment · 0 shared payments</td></tr>
<tr><td>Ownership changes after the change</td><td class="n good">0 refunds · 0 payouts · 0 shifts</td></tr>
@@ -429,12 +484,13 @@
</table>
</div>
<div class="measure">
<p>The count checks are the ones that matter. If re-keying had gone wrong it would have created a second copy of every record rather than updating the existing one, and the totals would have doubled. They did not move. The payment-copy step is the exception and is meant to add records — it added exactly 200,027, matching the number of copies it reported making.</p>
<p>The count checks are the ones that matter. If re-keying had gone wrong it would have created a second copy of every record rather than updating the existing one, and the totals would have doubled. They did not move. The payment-copy step is the exception and is meant to add records — it added 500,438, matching the number of copies it reported making. (Close, not exact: the counter increments while the transaction is being assembled, so two copies that resolve onto one entity are counted twice. It is a good check, not a proof.)</p>
<p><strong>The measurement above was taken with both client records of each pair left live, which is how this deploys.</strong> Nothing is deactivated and no business decision about which restaurant's history survives is needed. The risk that opens is narrow and specific: while any record still carries a legacy key, a second client can resolve onto it. That is why the deployment runs the migration with imports paused, and why <code>existing-id</code> now refuses to resolve a record belonging to another client.</p>
</div>
<div class="callout">
<span class="h">The whole analysis was run again from nothing, and landed in the same place</span>
<p>Everything above was rebuilt from a fresh restore of the production backup: restore, deactivate, re-key and duplicate across all nineteen million orders, re-import from Square, then two full ninety-day recomputes. The end state matched the previous run <strong>to the cent</strong> — 279 days out of balance and $7,790.54, with not one client-day differing by so much as half a penny. The recompute was then run a third time, after the database-wide re-key had finished, and produced the identical figure again. Numbers that survive being derived twice from separate restores are not artefacts of how the measurement was set up.</p>
<p>Everything above was rebuilt from a fresh restore of the production backup, several times over, each time from the backup point itself rather than from a database an earlier run had touched: restore, re-key and split across all nineteen million orders, then two full ninety-day recomputes. The runs used deliberately different preparation — one deactivated the duplicate records, one left them live and untouched, one backfilled their history from Square — so their headline figures differ, and comparing them is how the recommendation below was reached. What did <strong>not</strong> move is the part that should not: for the 190 clients that do not share a Square location the residue is 119 days and $1,730.61 in every run, with the same five restaurants accounting for it. The arithmetic fixes behave identically no matter what is done to the duplicates, which is a stronger check on them than any single measurement.</p>
</div>
<div class="callout warn">
@@ -446,36 +502,89 @@
<section>
<h2>What is still out of balance</h2>
<div class="measure">
<p>279 client-days out of 18,900, totalling <strong>$7,790.54</strong>. Where it sits matters more than the total, because most of it is not on a restaurant anyone reports on.</p>
<p>122 client-days out of 18,900, totalling <strong>$2,379.45</strong> — and only 32 of
those are above ten cents.</p>
</div>
<div class="scroll">
<table>
<thead><tr><th>Where the remainder sits</th><th class="n">Days</th><th class="n">Variance</th></tr></thead>
<tbody>
<tr><td>The twenty client records tied to a shared location — including the ten now-dormant duplicates</td><td class="n">160</td><td class="n">$6,059.93</td></tr>
<tr class="total"><td>Every other client</td><td class="n">119</td><td class="n">$1,730.61</td></tr>
<tr><td>The twenty records that share a Square location</td><td class="n good">3</td><td class="n good">$648.84</td></tr>
<tr class="total"><td>Every other client — 190 of the 210</td><td class="n">119</td><td class="n">$1,730.61</td></tr>
</tbody>
</table>
</div>
<div class="measure">
<p>Of that $1,730.61 on ordinary clients, four account for all but $2.40 of it:</p>
<p><strong>The shared-location records are now the clean part of the book.</strong> Three days
between all twenty of them: NGBK and NGBR at $299.42 each on 2026-08-06, which is the Square
tender-versus-order-total gap described below and not an attribution fault, and NGDA at $50.00,
an auto-gratuity booked as a service charge. Before the backfill those same records carried
423 days and $18,508.39.</p>
<p><strong>The other 119 days have not moved across any run of this analysis.</strong> Four
separate rebuilds — different databases, different preparation, one with the duplicates
deactivated and one without — all land on 119 days and $1,730.61, with the same five
restaurants accounting for almost all of it:</p>
</div>
<div class="scroll">
<table>
<thead><tr><th>Client</th><th class="n">Days</th><th class="n">Variance</th><th>What it is</th></tr></thead>
<tbody>
<tr><td class="mono">NG4S</td><td class="n">10</td><td class="n">$1,066.61</td><td>undiagnosed — the largest single unexplained cluster</td></tr>
<tr><td class="mono">NG4S</td><td class="n">10</td><td class="n">$1,066.61</td><td>refunds arriving for a record with no sales imported — the fourth problem</td></tr>
<tr><td class="mono">NGMV</td><td class="n">5</td><td class="n">$259.38</td><td>late May, undiagnosed</td></tr>
<tr><td class="mono">NGEB</td><td class="n">4</td><td class="n">$199.09</td><td>ezCater fee treatment — an open question</td></tr>
<tr><td class="mono">NGPS</td><td class="n">7</td><td class="n">$172.82</td><td>undiagnosed</td></tr>
<tr><td class="mono">N-30012</td><td class="n">2</td><td class="n">$30.31</td><td>late May, undiagnosed</td></tr>
<tr class="total"><td class="dim">PNSP, PNLP, GLAD and others</td><td class="n dim">91</td><td class="n dim">$2.40</td><td class="dim">till rounding — pennies a day</td></tr>
<tr class="total"><td class="dim">everyone else</td><td class="n dim">91</td><td class="n dim">$2.40</td><td class="dim">till rounding — pennies a day</td></tr>
</tbody>
</table>
</div>
<div class="measure">
<p>The largest surviving single day is NGDL on 2026-08-01 at $810.24, one of the shared-location records. The matched pair NGBR and NGBK both sit at exactly ±$299.42 on 2026-08-06: Square recorded $6,358.99 of tender against $6,059.57 of order totals, and the difference is that gap rather than anything the summary did wrong. The tip fix improved that day — it was $436.42 before — without closing it.</p>
<p>The clusters on NG4S, NGMV, NGPS and N-30012 are unexplained and worth a look before this ships. They are visible only because the window is ninety days; a thirty-day view does not reach them.</p>
<p>Sixteen of the 122 are days a record had no sales imported at all, worth $1,227.65 — the
fourth problem, still deliberately visible. The clusters on NGMV, NGPS and NGEB are
unexplained and worth a look, though at under $650 across sixteen days they are no longer
urgent.</p>
</div>
</section>
<section>
<h2>Making the duplicated restaurants match</h2>
<div class="measure">
<p>Re-keying stops the two records fighting, but on its own it does not make them equal, and
the difference is worth stating plainly because it decides whether the books close.</p>
<p><strong>Orders were always duplicated; refunds never were.</strong> A sales order's
identifier has always carried its client, so each of the two records built its own order
history from the start. Refunds, payouts and cash-drawer shifts did not, so only ONE record
holds each of them — whichever imported it last. The migration freezes that ownership rather
than evening it out. The record left without them shows returns from its own orders and no
refunds to set against them, and is out of balance by exactly the amount its twin is holding.</p>
<p>On 2026-05-11 both NGBK and NGBR held the same 221 orders. NGBK had no refunds; NGBR had
two, worth $2,232.29; and NGBK's books were out by $2,232.29 to the cent. Across the whole
database NGBK held <strong>158,535 orders and five refunds</strong>.</p>
</div>
<div class="callout">
<span class="h">The fix is to ask Square again, not to manufacture copies</span>
<p>With client-scoped keys in place, every record now creates its own copy of whatever it
reads. So replaying the window from Square is all that is needed: each record imports the same
refunds independently and the two histories converge, without any code inventing a duplicate
and having to be trusted about it. <code>backfill-history</code> does exactly that for a date
range, and after it every one of the ten pairs held matching order and refund counts.</p>
<p>It closed <strong>420 of the 423 days</strong> the shared records were carrying, and
$17,859.55 of the $18,508.39. It is also what recovered the zero-regression guarantee above.</p>
</div>
<div class="callout warn">
<span class="h">One capped read, found by doing this</span>
<p>The refunds import asked Square for a location's refunds and read the first page of the
answer — no cursor, no date range. Square pages at a hundred, so a location with more than a
hundred refunds silently returned a hundred, and the response looked complete. That is why the
twins each held almost exactly 100 refunds, and why an earlier import added exactly 1,000
across ten locations. Following the cursor is a few lines; the reason it went unnoticed for so
long is that a capped list is indistinguishable from a short one.</p>
</div>
<div class="measure">
<p><strong>This turned out to be a better answer than retiring the duplicate records.</strong>
An earlier measurement that deactivated one record of each pair left 279 days and $7,790.54.
Backfilling instead, with both records live, leaves <strong>122 days and $2,379.45</strong>
and it needs no business decision about which restaurant's history to abandon.</p>
</div>
</section>
@@ -491,8 +600,8 @@
<table>
<thead><tr><th>Record type</th><th class="n">Total</th><th class="n">Client-scoped</th><th class="n">Still to rename</th><th class="n">Cannot be scoped</th></tr></thead>
<tbody>
<tr><td>Card payments</td><td class="n">17,047,142</td><td class="n good">17,047,142</td><td class="n good">0</td><td class="n good">0</td></tr>
<tr><td>Refunds</td><td class="n">51,986</td><td class="n good">51,986</td><td class="n good">0</td><td class="n good">0</td></tr>
<tr><td>Card payments</td><td class="n">17,045,933</td><td class="n good">17,045,933</td><td class="n good">0</td><td class="n good">0</td></tr>
<tr><td>Refunds</td><td class="n">50,986</td><td class="n good">50,986</td><td class="n good">0</td><td class="n good">0</td></tr>
<tr><td>Payouts</td><td class="n">144,688</td><td class="n good">144,652</td><td class="n good">0</td><td class="n">36</td></tr>
<tr><td>Cash-drawer shifts</td><td class="n">69,291</td><td class="n good">69,291</td><td class="n good">0</td><td class="n good">0</td></tr>
</tbody>
@@ -531,15 +640,20 @@
<p>The problem this work exists to solve is gone: no payment answers to two orders, so the
component relationship means what it says and deleting an order can no longer take another
order's money with it.</p>
<p><strong>One behaviour changed when the pass was run over everything, and it is worth
recording.</strong> Where Square splits one tender across two of a single client's own orders,
the earlier design left the payment shared on purpose — both orders compute the same name, so
there is no second name for a copy to take. That rule only holds for two orders processed in
the same batch. Run across nineteen million orders in batches of two thousand, such pairs
almost always fall in different batches and the second order now takes a copy. Inside the
ninety-day window this changed nothing measurable: the recompute after the database-wide pass
matched the one before it to the cent. Outside the window it has not been measured, and it
should be before this runs against production.</p>
<p><strong>Where Square splits one tender across two of a single client's own orders, the
payment stays shared — at any batch size.</strong> Both orders compute the same name, so there
is no second name for a copy to take, and a copy would double that client's takings for the
day. The mechanism is worth stating precisely, because it is not obvious from reading: once
the first order re-keys the payment it also writes the owner attributes in the same
transaction, so a later order recovers the bare Square id from those, computes the name the
payment already carries, and the guard <code class="mono">(not= old new-key)</code> drops the
row before any copy decision is reached. Verified by running the migration at a batch size of
one, which forces the two orders into separate batches: no copy is made.</p>
<p class="dim">An earlier draft of this report claimed the opposite — that such pairs would be
copied once the batches split them — and flagged it as unmeasured risk to check before
production. That was wrong, and it is recorded here rather than quietly deleted because it did
real damage: an independent reviewer cited this paragraph as evidence and raised a defect that
does not exist. A test now pins the behaviour at batch size one.</p>
<p>The guard on <code>remove-voided-orders</code> is still worth having regardless. It is
cheap, and it makes the safety a property of the deletion rather than of the migration having
been run first.</p>
@@ -548,11 +662,12 @@
<div class="callout">
<span class="h">Re-running is safe, and that was proved at full scale</span>
<p>After the complete pass, asking the migration what it would change next returns
<strong>nothing</strong> — 17,047,142 payments examined, none to rename, none unscopable. A
<strong>nothing</strong> — 17,045,933 payments examined, none to rename, none unscopable. A
record that already carries the right name is left untouched, so the migration can be stopped,
resumed, or repeated without consequence.</p>
<p>Its speed is worth a note for whoever schedules it: the whole nineteen million orders were
walked in about <strong>thirteen minutes</strong>. An earlier attempt appeared to be
walked in about <strong>thirty-eight minutes</strong>, month by month from the current month
backwards so that stopping early leaves the recent end done. An earlier attempt appeared to be
transactor-bound and was projected at two days, which is why a previous run narrowed it to the
analysis window. That diagnosis was wrong. The bottleneck was garbage collection in the process
driving the migration — freeing held memory took an unrelated recompute from 17 client-days a
@@ -577,6 +692,7 @@
<tbody>
<tr><td>Which client record survives at each shared location</td><td>the business</td><td>the newer record generally has no history before the split, so keeping it loses years of the location's books</td></tr>
<tr><td>Which revenue account service charges post to</td><td>accounting</td><td>currently 49000 Service Income, chosen so the work could be measured; it affects reporting, never whether a day balances</td></tr>
<tr><td><strong>659 refunds on records that have no sales for them</strong></td><td>the business, then engineering</td><td>the top open item. $15,225.24 dated before the holding record's own first order. Either the missing sales get imported, or the refunds move to the record that has them — but the books cannot close until one of the two happens</td></tr>
<tr><td>Whether to correct records the wrong client already owns</td><td>the business</td><td>the fix stops future mix-ups; it does not retrospectively move records claimed while the configuration was shared</td></tr>
<tr><td><code>remove-voided-orders</code></td><td>engineering</td><td>safe once no payment has two parent orders; worth guarding regardless so it detaches rather than deletes</td></tr>
</tbody>
@@ -587,7 +703,7 @@
<span class="h">Two operational findings, unrelated to the summaries</span>
<p><strong>The production backup had not written a restore point since 2025-03-10</strong> — roughly seventeen months — even though data files were still uploading daily. A backup you cannot restore from is not a backup. A fresh one was taken on 2026-08-14 and is what this work used.</p>
<p><strong>The database server was sized for a toy dataset</strong>: a 2 GB cache against 27 GB of data. Worth checking what production is set to.</p>
<p><strong>Slowness here was misdiagnosed twice, in the same direction.</strong> Both a recompute crawling at 17 client-days a minute and a migration projected to take two days turned out to be garbage collection in the client process, not the database or the transactor. Freeing held memory took the recompute to 4,515 client-days a minute — a factor of 265 — and the migration finished in thirteen minutes. The lesson generalises: before concluding the transactor is the bottleneck, look at the heap of whatever is driving it.</p>
<p><strong>Slowness here was misdiagnosed twice, in the same direction.</strong> Both a recompute crawling at 17 client-days a minute and a migration projected to take two days turned out to be garbage collection in the client process, not the database or the transactor. Freeing held memory took the recompute to 4,515 client-days a minute — a factor of 265 — and the migration finished in well under an hour. The lesson generalises: before concluding the transactor is the bottleneck, look at the heap of whatever is driving it.</p>
</div>
</section>
@@ -637,7 +753,7 @@
<footer>
<span>Measured 2026-08-15 against <span class="mono">integreat-prod-restore</span>, restored fresh from backup point 209608347 — production as of 2026-08-14 22:52. Nothing in production was read or written. Branch <span class="mono">worktree-sales-summary-balance</span>.</span>
<span>A day counts as out of balance when money taken minus money earned is half a penny or more. "Material" means ten cents or more, the threshold below which the residual is till rounding. Of the 279 remaining days, 189 are material.</span>
<span>A day counts as out of balance when money taken minus money earned is half a penny or more. "Material" means ten cents or more, the threshold below which the residual is till rounding. Of the 122 remaining days only 32 are material, and just 3 of them sit on the twenty records that share a Square location.</span>
<span>Both the baseline and the result are live captures taken straight after their own recompute, never historical reads — see the note on <code>as-of</code> above.</span>
</footer>

View File

@@ -0,0 +1,419 @@
# Sales-summary balancing — rollout plan
Steps to execute, in order. Every step is either reversible or verifiable before the next one
begins. The one behaviour change that alters a client's books is behind a per-client feature flag
that is **off by default**, so merging and deploying this branch changes nothing on its own.
Measured on a restored copy of production (backup point `209608347`), 210 clients over
2026-05-10 → 2026-08-07, with the duplicate client records left active exactly as they will be in
production: **1,191 client-days out of balance / $70,276.50 → 122 days / $2,379.45**, of which only
32 are above ten cents. 1,069 days came into balance, none broke, and no already-balanced day had a
figure altered.
Of the $2,379.45 left, just **$648.84 across 3 days** is on the twenty shared-location records. The
other 119 days and $1,730.61 belong to ordinary clients and have not moved across any run of this
analysis.
Getting the shared records there needs step 5 — a historical backfill from Square. Without it they
carry 423 days and $18,508.39, because re-keying stops the two records fighting but does not give
each its own copy of the refunds.
---
## Before you start
| | |
|---|---|
| Flag introduced | `summary-service-charges` — off by default |
| Migration to run once | `auto-ap.jobs.rekey-square-external-ids/migrate-all!` |
| Expected migration runtime | ~38 minutes for 19M orders on a warm cache |
| Backfill runtime (step 5) | ~5.9 hours for 90 days across the 20 shared-location records — an overnight job |
| Nothing here touches | invoices, payments, the ledger, or any client without the flag set |
**Client configuration is left exactly as it is.** Ten Square locations are configured against two
client records each, and both stay active. The re-key is what resolves them: once every record
carries its owner in its key, each client's import resolves only its own records and the two
records keep independent, stable histories. No "which record survives" decision is needed, and
nothing is deactivated.
The consequence to be aware of: each Square payment, refund, payout and shift at a shared location
becomes **two entities, one per client record** — by design. That is the stable end state, not a
duplicate to clean up. If any report or export aggregates across client records, one restaurant's
takings would be counted twice at that layer. Nothing in this work changes that either way.
That holds automatically for everything imported *from now on*, because the keys carry the client.
It does **not** hold for history: refunds, payouts and shifts already in the database exist only
once, on whichever record imported them last, and re-keying freezes that rather than evening it out.
Step 5 is what brings the existing history into the same shape.
**The only window of risk is between deploying and finishing the migration**, while legacy keys
still exist for a client to resolve. Steps 26 exist to make that window effectively zero.
---
## Step 1 — Guard `remove-voided-orders`
Do this before the migration, not after. `:sales-order/charges` is `:db/isComponent true`, so
retracting an order cascades into its payments. Until step 4 finishes there are still payments with
two parent orders, and deleting one client's voided order can take the other client's payment with
it.
Either leave `remove-voided-orders` switched off until step 4 verifies clean, or change it to detach
a payment that has more than one parent rather than delete it. Detaching is worth doing regardless —
it makes the safety a property of the deletion rather than of the migration having been run first.
See `docs/2026-08-15-remove-voided-orders-risk.md`.
---
## Step 2 — Pause the Square importer
**This is what makes the deploy safe, and it is easy to skip.** Steps 2 through 6 should be one
maintenance action, not separate days' work.
While legacy keys exist, `square.core3/existing-id` falls back to them — and at a shared location
that is the one code path that can reach across client records. Running the migration with imports
paused means no client is resolving keys while the keys are being rewritten, so the window closes
entirely rather than merely narrowing.
The migration itself takes about **38 minutes** for all 19M orders, so the pause is short — and
if you need it shorter, see step 6: you can resume imports before it finishes.
---
## Step 3 — Deploy the code
Deploy the branch. The flag is absent from every client, so:
- tips are calculated exactly as they are today,
- no `Service Charges` line is written.
The only changes that take effect immediately are the safe ones: imbalance logging, the
dirty-summary scan bounded to one client (1,321 ms → 5.6 ms per client), the schema-ordering fix,
and the importer's new client-scoped keys.
**The importer reads both key schemes**, so the deploy does not depend on the migration having
finished. Two protections cover the interval before it does: imports are paused (step 2), and
`existing-id` refuses to resolve a record that already belongs to a different client. Do not remove
the legacy lookup yet — see step 10.
---
## Step 4 — Run the migration
Run it immediately after the deploy, while imports are still paused.
```clojure
(require '[auto-ap.jobs.rekey-square-external-ids :as rk])
;; read-only first — no two entities may want the same key. `plan` does NOT return a
;; :collisions key; you have to hand its :new-keys to `collisions` yourself.
(rk/collisions (:new-keys (rk/plan (d/db conn) :charge/external-id rk/charge-prefix)))
;; => [] (anything else: stop, do not migrate)
;; then the whole thing
(rk/migrate-all! 2000)
```
`migrate-all!` runs this same check itself, on every attribute including charges, and throws
rather than transacting if it finds one. Running it by hand first just means finding out before
the 38-minute walk rather than partway through it.
Runs in about thirty-eight minutes over 19M orders. It is **idempotent and resumable** — a record that
already carries the right name is skipped, so it can be stopped and re-run without consequence.
**It is also ordered so that stopping early is survivable.** Refunds, payouts and cash-drawer
shifts go first — a quarter of a million records, seconds of work — so an interruption cannot catch
them half done. The long part then walks orders **a month at a time, from the current month
backwards**, logging `::month-complete` as each finishes:
```
::month-complete :month "2026-08" :rekeyed 118203 :cloned 2244
::month-complete :month "2026-07" :rekeyed 241887 :cloned 4611
...
```
That ordering is the recovery plan. If it dies, everything from the last logged month forward is
fully scoped — and that recent window is what the importer actually reads — so **you can resume
imports against a partially migrated database** and finish the older tail later. Walking oldest
first would have spent the first several hours on 2019 data no import will touch, leaving exactly
the wrong end done.
If you do resume imports mid-migration, the ownership guard in `existing-id` is what keeps the
unmigrated tail safe: a client cannot resolve onto another client's legacy-keyed record.
If it appears to crawl, the cause is almost certainly garbage collection in the process driving it,
not the transactor. That misdiagnosis cost two days of projected runtime during this work. Free
retained memory in the REPL and re-measure before changing anything about the database.
**Verify.** Two checks, doing two different jobs — run both.
**(a) Completeness, across everything.** `plan` must report nothing left to do, for all four
attributes:
```clojure
(dissoc (rk/plan (d/db conn) :charge/external-id rk/charge-prefix) :new-keys)
;; => {:total 17045933 :to-migrate 0 :already-scoped 17045933 :unscopable 0}
```
Read `:to-migrate 0` **and** `:unscopable 0`. This is the authoritative signal, and it covers all
17M charges.
`unscoped-report` is useful colour but is not the gate: its `:no-owner` column never reaches zero
for charges, because ~283k payout stubs carry no `:charge/client` of their own and it classifies
by attribute rather than by resolving ownership. Judge completeness by `plan`.
**(b) The safety gate for the cascade** — no payment may answer to two orders, or re-enabling
`remove-voided-orders` in step 9 can delete a payment another order still needs. Check **every**
order in the last year, with no sampling:
```clojure
(let [db (d/db conn)
cs (map first (d/q '[:find ?c :where [?c :client/code _]] db))
year (java.util.Date. (- (.getTime (java.util.Date.)) (long (* 365 86400000))))]
(rk/charges-with-multiple-parents
db (map first (iol-ion.query/scan-sales-orders db cs year nil))))
;; => 0
```
On the restored copy that is 5,158,470 orders — 27% of the table — via the
`:sales-order/client+date` index. A year is chosen deliberately: `remove-voided-orders` only ever
deletes orders Square reports as voided, which are recent, so that is where the destructive risk
lives. Completeness across all of history is check (a)'s job, not this one.
> Do **not** sample this with `(take n (rk/all-order-ids db))`. `all-order-ids` streams `:aevt`,
> which is ascending entity id, so a `take` returns the *oldest* orders — on the restored copy the
> first 400,000 are all from 20192021, before any of the contention this gate looks for. It would
> report a confident zero having inspected none of the relevant data.
---
## Step 5 — Backfill the shared-location clients from Square
**Skip this and the ten duplicated restaurants stay badly out of balance.** It is the difference
between 122 client-days out of balance and 542.
Sales orders have always been keyed by client, so both records of a pair built their own order
history. Refunds, payouts and cash-drawer shifts were not, so only ONE record holds each of them.
Re-keying freezes that ownership; it does not even it out. The record left without them shows
returns from its own orders and no refunds against them — NGBK held 158,535 orders and five
refunds — and is out of balance by exactly what its twin is holding.
Rather than manufacture copies, ask Square again. Client-scoped keys mean each record now creates
its own copy of whatever it reads, so replaying the window makes the two histories converge:
```clojure
(require '[auto-ap.square.core3 :as sq])
(require '[clj-time.core :as t])
@(apply sq/backfill-history
(t/date-time 2026 5 10) (t/date-time 2026 8 9)
["NGBK" "NGBR" "NGCD" "NGCC" "NGVG" "NGVC" "NGEZ" "NGJS" "NGDG" "NGDU"
"NGDV" "NGDS" "NGWC" "NGWN" "NGHY" "NGHA" "NGDA" "NGDL" "NGCL" "NGCT"])
```
**Verify** — every pair should hold matching order and refund counts in the window:
```clojure
;; per pair, per side: window orders and window refunds. The two sides should agree.
```
Measured on the restored copy: all ten pairs matched afterwards, and the shared records went from
423 days and $18,508.39 out of balance to 3 days and $648.84.
**Budget an overnight run.** This took **5.9 hours** for ninety days across the twenty records.
Every Square call in the process shares one 25-requests-per-second throttle, refunds and shifts cost
one API call per record, and `backfill-history` imports three clients at a time — raise its
`s/buffer` if you need it faster. Neither the database nor the transactor is the limit; reads
measured at 32 µs.
It must run **after** the migration. Run before, and it imports against legacy keys and leaves more
to migrate.
---
## Step 6 — Resume the Square importer
Normally: once step 4's two checks read clean and step 5's backfill has finished. The maintenance
window ends here.
**If the migration did not finish**, you do not have to wait for it. Resume imports once the
`::month-complete` log covers the window your importer reads — the last 75 days for payouts and
cash-drawer shifts, and whatever range the order import is configured for. Then re-run
`migrate-all!` afterwards to walk the remaining older months; it will skip everything already done.
Run the step 4 checks again once it does finish.
The first cycle after resuming is the one to watch. Compare these against the same counts taken
immediately before the deploy — growth should be ordinary daily volume:
```clojure
(count (d/datoms (d/db conn) :aevt :sales-refund/external-id))
(count (d/datoms (d/db conn) :aevt :expected-deposit/external-id))
(count (d/datoms (d/db conn) :aevt :cash-drawer-shift/external-id))
(count (d/datoms (d/db conn) :aevt :charge/external-id))
```
A near-doubling of any of them means records are being created rather than matched — **stop and
roll back the deploy.** Charges are included deliberately: they are the one that doubles a client's
takings rather than merely duplicating a row.
---
## Step 7 — Recompute summaries, flags still off
```clojure
(require '[auto-ap.jobs.sales-summaries :as ss])
(ss/refresh-sales-summaries 90)
```
This is the pass that banks the deduplication. **Capture the result before going further** — you
will need it as the baseline for step 8, and it cannot be reconstructed afterwards:
```clojure
(require '[auto-ap.tools.compare-sales-summaries :as cmp]) ; test/dev classpath
(def before (cmp/summaries-in (d/db conn) start end))
(spit "before.edn" (pr-str before))
```
> **Do not use `d/as-of` to compare summary amounts.** `:ledger-mapped/amount`, `ledger-side` and
> `account` are `:db/noHistory`, so past values are discarded. A summary that has since been
> recomputed reads back through `as-of` with its amounts *absent*, which looks like a legitimate
> balanced day. Capture live, before and after, and diff the captures.
---
## Step 8 — Turn the flag on, a few restaurants at a time
Needs accounting sign-off first: `summary-service-charges` posts to **49000 Service Income**, chosen
so the work could be measured. It affects reporting, never whether a day balances.
```clojure
@(d/transact conn [{:db/id [:client/code "NGxx"]
:client/feature-flags ["summary-service-charges"]}])
(ss/refresh-sales-summaries 90)
```
Start with two or three restaurants, confirm, then widen.
**Verify** against the capture from step 7:
```clojure
(def after (cmp/summaries-in (d/db conn) start end))
(cmp/compare-window ...) ; both arguments live database values, never as-of
```
The two numbers that matter — both were zero across all 18,900 client-days in testing:
- `:balanced->unbalanced` must be **0**
- previously-balanced days whose lines changed must be **0**
If either is non-zero, retract the flag for the affected clients and re-run step 7. The flag is the
rollback: removing it restores today's behaviour exactly.
---
## Step 9 — Re-enable `remove-voided-orders`
Safe once step 4's gate reads zero. Keep the detach-rather-than-delete guard from step 1.
---
## Step 10 — Remove the legacy key lookup
**Schedule this; do not leave it open-ended.** Both client records at a shared location stay active
permanently, so the legacy fallback in `square.core3/existing-id` is the one code path that can ever
reach across them. Deleting it is what turns the guarantee from conventional into structural.
Once `plan` reports `:to-migrate 0` and has stayed there through several import cycles, drop the
legacy branch of `existing-id` — and with it `owned-by-other-client?`, which exists only to make
that branch safe while it lives. After this, two clients on one location are structurally incapable
of resolving onto each other's records, and no ordering discipline is required to keep it that way.
Until it is done, the protection is the guard plus the maintenance window, both of which depend on
people doing the right thing. That is the reason not to let this drift.
---
## Step 11 — Deal with the refunds that have no sales behind them
**The most important item in this document, and the only one that is not just execution.**
16 of the 122 remaining days are a record carrying refunds on a day it recorded no sales at all,
and all 16 fall before that client's first ever order. Two clients are affected, holding **160
refunds worth $4,347.68 dated before their own first order**:
| Client | First order | Refunds before it | Value | Days out of balance |
|---|---|---:|---:|---:|
| NG4S | 2026-05-29 | 79 | $2,180.08 | 10 |
| NGPS | 2026-05-26 | 81 | $2,167.60 | 7 |
**Step 5's backfill already resolved the other seven.** Before it, nine records were in this state
holding 660 refunds worth $15,237.02 — but seven of them were shared-location twins whose refunds
only looked orphaned because their orders had never been imported. Replaying the window gave them
their orders, and the refunds stopped predating them.
NG4S and NGPS are different: neither shares a Square location, so there is no twin holding the other
half. Their sales genuinely are not in the system for the period their refunds cover. The database's
own ownership history is the evidence to check — for the twins it showed refunds changing hands
between the two records; for these two there is no second record to have taken them from.
Two ways to close it, and the business has to pick:
1. **Import the missing sales.** Correct if these records are meant to have their own books. Try
`backfill-history` for them first, with a window reaching back before their first order — that is
exactly what fixed the seven, and it is one command.
2. **Move the refunds to the record that has the sales.** Correct only if the refunds were misfiled
onto a record that should not have books of its own.
Start with (1): it is cheap, reversible in the sense that it only adds what Square reports, and it
is already proven to work on this exact symptom.
```clojure
;; per client: refunds dated before that client's own first order
(let [first-order (->> (d/q '[:find [?d ...] :in $ ?c
:where [?o :sales-order/client ?c] [?o :sales-order/date ?d]]
(d/db conn) [:client/code "NG4S"])
(reduce (fn [a b] (if (.before a b) a b))))]
(->> (d/q '[:find [(pull ?r [:sales-refund/date :sales-refund/total]) ...] :in $ ?c
:where [?r :sales-refund/client ?c]]
(d/db conn) [:client/code "NG4S"])
(filter #(.before (:sales-refund/date %) first-order))
count))
```
**Until this is resolved those days stay out of balance, on purpose.** A summary change to close
them was written and measured — it works, closes 16 days and $1,227.65, and breaks nothing — and it
was removed, because an unbalanced day is the only visible signal that a restaurant's sales are not
being imported. A test asserts the day stays unbalanced so nobody closes it without reading this.
---
## What this will not fix
122 client-days over ninety days, $2,379.45, of which only 32 are above ten cents.
| | Days | Variance | |
|---|---:|---:|---|
| Real trading days with genuine discrepancies | 106 | $1,151.80 | see below |
| Refunds on a record with no sales imported | 16 | $1,227.65 | step 11 — deliberately visible |
Of the 106 trading days, only **3 are on shared-location records** — $648.84 in total, and all three
are already diagnosed: NGBK and NGBR at $299.42 each on 2026-08-06, where Square recorded $6,358.99
of tender against $6,059.57 of order totals (the gap itself, not a summary fault), and NGDA at
$50.00, an auto-gratuity booked as a service charge.
The other 103 days come to **$502.96 across 190 clients** — a few dollars here and there, mostly
till rounding, plus small undiagnosed clusters on NGMV ($259.38 over 5 days) and NGEB ($199.09 over
4 days, an ezCater fee-treatment question). Those two are worth a look but are not urgent.
That 103-day, $502.96 figure has been identical in every run of this analysis — with the duplicates
deactivated, with them live, and with them backfilled. It is the floor this work reaches.
---
## Two operational findings, unrelated to the summaries
- **The production backup had not written a restore point since 2025-03-10** — about seventeen
months — although data files were still uploading daily. Worth an alert on restore-point age.
- **The database server is sized for a much smaller dataset**: a 2 GB cache against 27 GB of data.
Worth checking what production is set to.

View File

@@ -20,7 +20,8 @@
(:require
[auto-ap.datomic :refer [conn]]
[auto-ap.logging :as alog]
[datomic.api :as dc]))
[datomic.api :as dc]
[iol-ion.query]))
(def refund-prefix "square/refund/")
(def charge-prefix "square/charge/")
@@ -195,7 +196,11 @@
[orders batch-size]
(let [cloned (atom 0)
rekeyed (atom 0)]
(doseq [batch (partition-all batch-size orders)]
(doseq [[i batch] (map-indexed vector (partition-all batch-size orders))]
(when (zero? (mod i 200))
;; the whole-database run walks 19M orders; without a trail an interrupted run leaves
;; no way to tell how far it got short of querying the data by hand
(alog/info ::splitting :orders-done (* i batch-size) :rekeyed @rekeyed :cloned @cloned))
(let [db (dc/db conn)
batch-seen (atom {})
tx (doall
@@ -255,12 +260,19 @@
"Counts, per entity type, how many keys are already client-scoped, how many still carry the
legacy unscoped form, and how many have no owner to scope by.
This is the completeness gate. The importer tolerates both key schemes on purpose, so that the
change can be deployed before the migration finishes — but that tolerance is a transition, not
a resting place. While `:legacy` is above zero the database is in a mixed state and a stray
unscoped record can still be adopted by whichever client imports it first. Once every count
reads zero the fallback lookup in `square.core3/existing-id` can be removed and the guarantee
becomes structural rather than conventional."
The importer tolerates both key schemes on purpose, so that the change can be deployed before
the migration finishes — but that tolerance is a transition, not a resting place. While
`:legacy` is above zero the database is in a mixed state and a stray unscoped record can still
be adopted by whichever client imports it first. **`:legacy` reaching zero on every attribute is
the done-signal**, and it is what licenses removing the fallback lookup in
`square.core3/existing-id`.
`:no-owner` is NOT part of that signal and never reaches zero for charges. It counts entities
whose own `:charge/client`/`:charge/location` are absent — around an eighth of charges, the
payout stubs `migrate!` only ever gives an external id — so this report structurally cannot
verify them even when their keys are perfectly scoped. It classifies by attribute; `plan`
resolves ownership through whatever references the entity. Ask `plan` for the authoritative
answer: `:to-migrate 0` with `:unscopable 0` means there is nothing left to do."
[db]
(into {}
(for [{:keys [attr prefix client location]} scoped-attrs]
@@ -277,10 +289,51 @@
(dc/datoms db :aevt attr))])))
(defn all-order-ids
"Every sales order in the database, streamed."
"Every sales order in the database, streamed in `:aevt` order — which is ascending entity id,
so OLDEST first. Fine for counting; wrong for anything that takes a prefix. `(take n ...)` of
this returns the oldest n orders, not a sample: on the production copy the first 400,000 are
all from 2019 to 2021. Use `order-months-newest-first` to walk the data in migration order."
[db]
(map :e (dc/datoms db :aevt :sales-order/external-id)))
(def ^:private earliest-orders
"How far back the month walk goes. Comfortably before the oldest order in the database
(2019-12-31 on the production copy); months with no orders cost one index seek per client."
#inst "2015-01-01T00:00:00.000-00:00")
(defn- ->date [^java.time.LocalDate d]
(java.util.Date/from (.toInstant (.atStartOfDay d (java.time.ZoneId/systemDefault)))))
(defn order-months-newest-first
"`[start end]` month windows from now back to `earliest`, newest month first.
The migration walks months in this order on purpose. It is the difference between an
interrupted run leaving the data safe to import against and leaving it dangerous: the importer
works on recent data, so having the newest months fully scoped is what lets imports resume
while the older tail is still unmigrated. Walking oldest-first would spend hours on 2019 before
touching anything this month's import will read.
Windows tile without gaps — each month's end is the day before the next month's start — and
because the migration is idempotent an order landing in two windows is a no-op the second
time, so boundary precision is not safety-critical."
([] (order-months-newest-first earliest-orders))
([^java.util.Date earliest]
(let [zone (java.time.ZoneId/systemDefault)
floor (java.time.YearMonth/from (.toLocalDate (.atZone (.toInstant earliest) zone)))]
(->> (iterate (fn [^java.time.YearMonth m] (.minusMonths m 1)) (java.time.YearMonth/now zone))
(take-while (fn [^java.time.YearMonth m] (not (.isBefore m floor))))
(map (fn [^java.time.YearMonth m]
[(->date (.atDay m 1)) (->date (.atEndOfMonth m))]))))))
(defn orders-in-window
"Sales order ids for every client between `start` and `end` inclusive, via the
`:sales-order/client+date` index."
[db clients start end]
(map first (iol-ion.query/scan-sales-orders db clients start end)))
(defn- all-client-ids [db]
(map first (dc/q '[:find ?c :where [?c :client/code _]] db)))
(defn migrate-all!
"The complete migration, over the whole database rather than a chosen subset.
@@ -289,18 +342,40 @@
Nine client pairs contended in the past and no longer share one; their records are still mixed,
and a migration scoped to the current configuration would miss every one of them.
**Ordered so that an interrupted run is recoverable.** Refunds, payouts and cash-drawer shifts
go first: together they are a quarter of a million records and take seconds, so finishing them
up front means an interruption cannot leave them half done. The long part — walking every order
to split shared charges — then runs a month at a time from the current month backwards, logging
each month as it completes. Stop it after any month and the data from that month forward is
fully scoped, which is the part the importer reads, so imports can resume against it while the
older tail waits. Re-running picks up where it left off because each month's work is idempotent.
Returns the split counts and the completeness report, which should read zero legacy across the
board when this finishes."
[batch-size]
(let [split (split-and-rekey-charges! (all-order-ids (dc/db conn)) batch-size)]
(doseq [{:keys [attr prefix]} scoped-attrs
:when (not= attr :charge/external-id)]
(let [p (plan (dc/db conn) attr prefix)]
(when-let [c (seq (collisions (:new-keys p)))]
(throw (ex-info "two entities would take the same key" {:attr attr :collisions (count c)})))
(migrate! attr (:new-keys p) batch-size)))
;; charges no order refers to — payout stubs — are scoped from the deposit that holds them
(doseq [{:keys [attr prefix]} scoped-attrs
:when (not= attr :charge/external-id)]
(let [p (plan (dc/db conn) attr prefix)]
(when-let [c (seq (collisions (:new-keys p)))]
(throw (ex-info "two entities would take the same key" {:attr attr :collisions (count c)})))
(migrate! attr (:new-keys p) batch-size)))
(let [clients (all-client-ids (dc/db conn))
split (reduce (fn [acc [start end]]
(let [ids (orders-in-window (dc/db conn) clients start end)
r (split-and-rekey-charges! ids batch-size)]
(alog/info ::month-complete
:month (subs (str (.toInstant ^java.util.Date start)) 0 7)
:rekeyed (:rekeyed r) :cloned (:cloned r))
(merge-with + acc r)))
{:rekeyed 0 :cloned 0}
(order-months-newest-first))]
;; charges no order refers to — payout stubs — are scoped from the deposit that holds them.
;; Collision-checked like the others: this is the largest attribute in the database, so it is
;; the last one that should discover a clash as a mid-run exception.
(let [p (plan (dc/db conn) :charge/external-id charge-prefix)]
(when-let [c (seq (collisions (:new-keys p)))]
(throw (ex-info "two entities would take the same key"
{:attr :charge/external-id :collisions (count c)})))
(when (seq (:new-keys p)) (migrate! :charge/external-id (:new-keys p) batch-size)))
{:split split :completeness (unscoped-report (dc/db conn))}))

View File

@@ -378,6 +378,14 @@
:ledger-mapped/amount (- (+ total discount) tax)
#_#_:ledger-mapped/account nil})))
;; A day carrying refunds and no sales at all is left out of balance on purpose. It is tempting
;; to close it by booking a return against the day's refunds — the arithmetic works, and no
;; trading day could be affected. Do not. Those days are overwhelmingly not "a refund settled
;; while the restaurant was shut": they are days whose *orders were never imported*, on client
;; records that took ownership of another record's refunds through the unscoped keys this branch
;; fixes. Balancing them would convert the only signal that a client's sales are missing into
;; silence. See `docs/2026-08-15-sales-summary-rollout-plan.md`.
(defn- get-returns [c date]
(when-let [amount (ffirst (dc/q '[:find (sum ?r)
:with ?e
@@ -509,7 +517,6 @@
@(dc/transact conn [[:upsert-sales-summary result]]))
@(dc/transact conn [{:db/id id :sales-summary/dirty false}]))))))
(defn sales-summaries-v2
"Recomputes every dirty summary, client by client."
[]

View File

@@ -27,11 +27,9 @@
"Authorization" (str "Bearer " (:client/square-auth-token client))
"Content-Type" "application/json"}))
(defn ->square-date [d]
(f/unparse (f/formatter "YYYY-MM-dd'T'HH:mm:ssZZ") d))
(def manifold-api-stream
(let [stream (s/stream 100)]
(->> stream
@@ -42,10 +40,10 @@
(de/loop [attempt 0]
(-> (de/chain (de/future-with (ex/execute-pool)
#_(log/info ::request-started
:url (:url request)
:attempt attempt
:source "Square 3"
:background-job "Square 3")
:url (:url request)
:attempt attempt
:source "Square 3"
:background-job "Square 3")
(try
(client/request (assoc request
:socket-timeout 10000
@@ -104,7 +102,6 @@
:exception error))
[]))))
(def item-cache (atom {}))
(defn fetch-catalog [client i v]
@@ -124,13 +121,11 @@
#(do (swap! item-cache assoc i %)
%))))
(defn fetch-catalog-cache [client i version]
(if (get @item-cache i)
(de/success-deferred (get @item-cache i))
(fetch-catalog client i version)))
(defn item->category-name-impl [client item version]
(capture-context->lc
(cond (:item_id (:item_variation_data item))
@@ -161,7 +156,6 @@
:item item)
"Uncategorized"))))
(defn item-id->category-name [client i version]
(capture-context->lc
(-> [client i]
@@ -226,7 +220,6 @@
(concat (:orders result) continued-results))))
(:orders result)))))))
(defn search
([client location start end]
(capture-context->lc
@@ -250,11 +243,9 @@
(concat (:orders result) continued-results))))
(:orders result))))))))
(defn amount->money [amt]
(* 0.01 (or (:amount amt) 0.0)))
;; to get totals:
(comment
(reduce
@@ -278,6 +269,30 @@
[prefix client location id]
(str prefix (:client/code client) "-" (:square-location/client-location location) "-" id))
(def ^:private owner-attr
"Where each Square-imported entity records the client it belongs to."
{:charge/external-id :charge/client
:sales-refund/external-id :sales-refund/client
:expected-deposit/external-id :expected-deposit/client
:cash-drawer-shift/external-id :cash-drawer-shift/client})
(defn- owned-by-other-client?
"Whether `e` already belongs to a client other than `client-eid`.
Reads the entity's own owner attribute, and for a charge falls back to the client of whichever
sales order refers to it — charges predating `:charge/client` still have orders, and those are
exactly the ones that can be taken by the wrong client."
[db attr e client-eid]
(let [ent (dc/entity db e)
owner (or (:db/id ((owner-attr attr) ent))
(when (= attr :charge/external-id)
(some->> (first (dc/datoms db :vaet e :sales-order/charges))
:e
(dc/entity db)
:sales-order/client
:db/id)))]
(and owner (not= owner client-eid))))
(defn existing-id
"Entity id of the refund or charge this id already refers to, trying the client-scoped key
first and the legacy unscoped key second.
@@ -286,11 +301,24 @@
relies on upsert-by-identity; changing the key format on its own would match nothing and
Datomic would create a SECOND entity for every refund and charge, orphaning the original under
its legacy key. Pinning the result as `:db/id` makes the write land on the existing entity
whichever scheme it currently carries."
whichever scheme it currently carries.
The legacy branch will not take a record that already belongs to a different client. Without
that check, two clients on one Square location double money during the window between deploying
and finishing the migration: client A's payout import resolves B's charge by its bare key and
renames it into A's scope, B's next order import then matches neither scheme and mints a second
charge, and because `:sales-order/charges` is cardinality-many nothing retracts the first — so
B's order carries two charges for one payment. Declining is also the right answer on its merits:
the write then lands on this client's own copy, which is what the scoped keys exist to create.
Once the migration has run there are no legacy keys left for this branch to find, and both it
and the guard can be deleted together."
[db attr prefix client location id]
(when id
(or (dc/entid db [attr (scoped-key prefix client location id)])
(dc/entid db [attr (str prefix id)]))))
(when-let [legacy (dc/entid db [attr (str prefix id)])]
(when-not (owned-by-other-client? db attr legacy (:db/id client))
legacy)))))
(defn tender->charge [order client location t]
(remove-nils
@@ -304,7 +332,7 @@
:db/id (existing-id (dc/db conn) :charge/external-id "square/charge/" client location (:id t))
:external-id (when (:id t)
(scoped-key "square/charge/" client location (:id t)))
:processor (cond
:processor (cond
(#{"OTHER" "THIRD_PARTY_CARD"} (:type t))
(condp = (some-> (:note t) str/lower-case)
"doordash" :ccp-processor/doordash
@@ -377,7 +405,7 @@
#:sales-order
{:date (if (= "Invoices" (:name (:source order)))
(when (:closed_at order)
(coerce/to-date (time/to-time-zone (coerce/to-date-time (:closed_at order)) (time/time-zone-for-id "America/Los_Angeles"))))
(coerce/to-date (time/to-time-zone (coerce/to-date-time (:closed_at order)) (time/time-zone-for-id "America/Los_Angeles"))))
(coerce/to-date (time/to-time-zone (coerce/to-date-time (:created_at order)) (time/time-zone-for-id "America/Los_Angeles"))))
:client (:db/id client)
:location (:square-location/client-location location)
@@ -439,7 +467,6 @@
:client client
:location location)))))))
(defn get-payment [client p]
(de/chain (manifold-api-call
{:url (str "https://connect.squareup.com/v2/payments/" p)
@@ -448,7 +475,6 @@
:body
:payment))
(defn continue-payout-entry-list [c l poi cursor]
(capture-context->lc lc
(de/chain
@@ -593,6 +619,12 @@
(let [payment-id (:payment_id (:type_charge_details p))]
(remove-nils
{:charge/external-id (scoped-key "square/charge/" client location payment-id)
;; the owner attributes must travel with the key: `raw-square-id` and
;; `scope-of` both recover a charge's scope from them, and a key
;; scoped to one client while the owner says another is what makes
;; the migration write square/charge/B-LB-A-LA-<id>
:charge/client (:db/id client)
:charge/location (:square-location/client-location location)
:db/id (existing-id (dc/db conn) :charge/external-id "square/charge/" client location payment-id)}))))))})
(filter :expected-deposit/date)
(into []))
@@ -600,15 +632,44 @@
(log/error ::transform-payout-failed
:exception e)))))))))
(defn refunds
([client l]
(de/chain (manifold-api-call {:url (str "https://connect.squareup.com/v2/refunds?location_id=" (:square-location/square-id l))
:method :get
(defn- refund-list
"Every refund Square has for this location in `[start end]`, following the cursor to the end.
:headers (client-base-headers client)
:as :json})
The list endpoint returns one page at a time. Reading only the first page — which is what this
did before — silently caps a location at a hundred refunds however many it actually has, and
the cap is invisible: the response looks like a complete answer. On a shared location that is
how one client record ends up holding a few refunds against a hundred and fifty thousand orders.
`start`/`end` are optional; omitting both asks for everything, which is what the nightly job
wants and what a historical backfill of more than a page needs."
([client l start end] (refund-list client l start end nil))
([client l start end cursor]
(de/chain (manifold-api-call
{:url (str "https://connect.squareup.com/v2/refunds"
"?"
(url/map->query
(cond-> {:location_id (:square-location/square-id l)
:limit 100}
start (assoc :begin_time (->square-date start))
end (assoc :end_time (->square-date end))
cursor (assoc :cursor cursor))))
:method :get
:headers (client-base-headers client)
:as :json})
:body
:refunds
(fn [result]
(log/info ::refunds-page
:count (count (:refunds result))
:more? (boolean (not-empty (:cursor result))))
(if (not-empty (:cursor result))
(de/chain (refund-list client l start end (:cursor result))
(fn [more] (concat (:refunds result) more)))
(:refunds result))))))
(defn refunds
([client l] (refunds client l nil nil))
([client l start end]
(de/chain (refund-list client l start end)
(fn [refunds]
(->> refunds
(filter (fn [r] (= "COMPLETED" (:status r))))
@@ -651,7 +712,6 @@
:count (count x))
@(dc/transact-async conn x))))))))
(defn upsert-payouts
([client]
(apply de/zip
@@ -680,11 +740,12 @@
(for [square-location (:client/square-locations client)
:when (:square-location/client-location square-location)]
(upsert-refunds client square-location))))
([client location]
([client location] (upsert-refunds client location nil nil))
([client location start end]
(with-context-as {:source "Square refunds loading"
:client (:client/code client)} lc
(de/chain (refunds client location)
(de/chain (refunds client location start end)
(fn [refunds]
(mu/with-context lc
(try
@@ -700,7 +761,6 @@
(log/info ::done-loading-refunds)))))))
(defn get-cash-shift [client id]
(de/chain (manifold-api-call {:url (str (url/url "https://connect.squareup.com/v2/cash-drawers/shifts" id))
:method :get
@@ -864,8 +924,6 @@
d1
d2))
(defn remove-voided-orders
([client]
(apply de/zip
@@ -892,7 +950,7 @@
(:sales-order/external-id o))))))
(s/map (fn [[o]]
[[:db/retractEntity [:sales-order/external-id (:sales-order/external-id o)]]]))
(s/reduce into [])))
(fn [results]
@@ -901,31 +959,26 @@
(log/info ::removing-orders
:count (count x))
@(dc/transact-async conn x)))))
(de/catch (fn [e]
(log/warn ::couldnt-remove :error e)
nil) ))))))
(de/catch (fn [e]
(log/warn ::couldnt-remove :error e)
nil)))))))
#_(comment
(require 'auto-ap.time-reader)
#_(comment
(require 'auto-ap.time-reader)
@(let [[c [l]] (get-square-client-and-location "DBFS") ]
(log/peek :x [ c l])
(search c l #clj-time/date-time "2026-03-28" #clj-time/date-time "2026-03-29")
@(let [[c [l]] (get-square-client-and-location "DBFS")]
(log/peek :x [c l])
(search c l #clj-time/date-time "2026-03-28" #clj-time/date-time "2026-03-29"))
)
@(let [[c [l]] (get-square-client-and-location "NGAK")]
(log/peek :x [c l])
@(let [[c [l]] (get-square-client-and-location "NGAK") ]
(log/peek :x [ c l])
(remove-voided-orders c l #clj-time/date-time "2024-04-11" #clj-time/date-time "2024-04-15"))
(doseq [c (get-square-clients)]
(try
@(remove-voided-orders c)
(catch Exception e
nil)))
)
(remove-voided-orders c l #clj-time/date-time "2024-04-11" #clj-time/date-time "2024-04-15"))
(doseq [c (get-square-clients)]
(try
@(remove-voided-orders c)
(catch Exception e
nil))))
(defn upsert-all [& clients]
(capture-context->lc
@@ -988,14 +1041,53 @@
(s/realize-each)
(s/reduce conj []))))
(defn backfill-history
"Re-imports orders, payouts, refunds and cash-drawer shifts for `[start end]`, one client at a
time, for every square location the client has.
This exists for the shared-location case. Sales orders have always been keyed by client, so two
client records on one Square location each built their own order history. Refunds, payouts and
shifts were not, so only ONE of the two records holds each of them — whichever imported it last
before the keys were scoped. Re-keying freezes that ownership; it does not even it out, and the
record left without them shows returns from its own orders with no refunds to offset them.
Rather than manufacture copies, this asks Square again. With client-scoped keys in place every
record now creates its own copy of what it reads, so replaying the window is what makes the two
histories match. Deliberately not part of `upsert-all`: it walks further back than the nightly
job and is meant to be run once, after the migration.
Run it AFTER `rekey-square-external-ids/migrate-all!`. Running it before would import against
legacy keys and leave more to migrate."
[start end & client-codes]
(with-context-as {:source "Square historical backfill"} lc
(->> (apply get-square-clients client-codes)
(s/->source)
(s/map (fn [client]
(with-context-as (merge lc {:client (:client/code client)}) lc
(->
(apply de/zip
(for [l (:client/square-locations client)
:when (:square-location/client-location l)]
(de/chain
(upsert client l start end)
(fn [_] (upsert-payouts client l start end))
(fn [_] (upsert-refunds client l start end))
(fn [_] (upsert-cash-shifts client l start end))
(fn [_] (log/info ::backfilled
:location (:square-location/client-location l))))))
(de/catch (fn [e]
(mu/with-context lc
(log/info ::backfill-failed :severity :error :exception e))))))))
(s/buffer 3)
(s/realize-each)
(s/reduce conj []))))
(defn do-upsert-all [& clients]
(mu/trace
::upsert-all
[:clients clients]
@(apply upsert-all clients)))
(comment
(defn refunds-raw-cont
([client l cursor so-far]
@@ -1025,9 +1117,8 @@
(->>
@(let [[c [l]] (get-square-client-and-location "NGGG")]
(search c l (time/now) (time/plus (time/now) (time/days -1))))
(filter (fn [r]
(str/starts-with? (:created_at r) "2024-03-14"))))
@@ -1035,7 +1126,6 @@
(->>
@(let [[c [l]] (get-square-client-and-location "NGGG")]
(refunds-raw-cont c l nil []))
(filter (fn [r]
(str/starts-with? (:created_at r) "2024-03-14")))))
@@ -1069,13 +1159,8 @@
[]))]
[(:client/code c) (atime/unparse-local (clj-time.coerce/to-date-time (:sales-order/date bad-row)) atime/normal-date) (:sales-order/total bad-row) (:sales-order/tax bad-row) (:sales-order/tip bad-row) (:db/id bad-row)])
:separator \tab)
;; =>
;; =>
(require 'auto-ap.time-reader)
@@ -1084,27 +1169,16 @@
(clojure.pprint/pprint (let [[c [l]] (get-square-client-and-location "NGVT")]
l
(def z @(search c l #clj-time/date-time "2025-02-23T00:00:00-08:00"
#clj-time/date-time "2025-02-28T00:00:00-08:00"))
(take 10 (map #(first (deref (order->sales-order c l %))) z)))
(take 10 (map #(first (deref (order->sales-order c l %))) z))))
)
(->> z
(->> z
(filter (fn [o]
(seq (filter (comp #{"OTHER"} :type) (:tenders o)))))
(filter #(not (:name (:source %))))
(count)
)
(count))
(doseq [[code] (seq (dc/q '[:find ?code
:in $
:where [?o :sales-order/date ?d]
@@ -1113,32 +1187,22 @@
[?o :sales-order/client ?c]
[?c :client/code ?code]]
(dc/db conn)))
:let [[c [l]] (get-square-client-and-location code)
]
:let [[c [l]] (get-square-client-and-location code)]
order @(search c l #clj-time/date-time "2026-01-01T00:00:00-08:00" (time/now))
:when (= "Invoices" (:name (:source order) ))
:when (= "Invoices" (:name (:source order)))
:let [[sales-order] @(order->sales-order c l order)]]
(when (should-import-order? order)
(println "DATE IS" (:sales-order/date sales-order))
(when (some-> (:sales-order/date sales-order) coerce/to-date-time (time/after? #clj-time/date-time "2026-2-16T00:00:00-08:00"))
(println "WOULD UPDATE" sales-order)
@(dc/transact auto-ap.datomic/conn [sales-order])
)
#_@(dc/transact )
(println "DONE"))
)
@(dc/transact auto-ap.datomic/conn [sales-order]))
#_@(dc/transact)
(println "DONE")))
#_(filter (comp #{"OTHER"} :type) (mapcat :tenders z))
@(let [[c [l]] (get-square-client-and-location "NGRY")]
#_(search c l (clj-time.coerce/from-date #inst "2025-02-28") (clj-time.coerce/from-date #inst "2025-03-01"))
(order->sales-order c l (:order (get-order c l "KdvwntmfMNTKBu8NOocbxatOs18YY" )))
)
)
(order->sales-order c l (:order (get-order c l "KdvwntmfMNTKBu8NOocbxatOs18YY")))))

View File

@@ -147,3 +147,47 @@
(is (= (str "square/charge/" code "-CD-same1") (:key (first (charges-of o1)))))
(is (= (:eid (first (charges-of o1))) (:eid (first (charges-of o2))))
"both orders still point at the one payment"))))
(deftest the-month-walk-runs-newest-first-and-leaves-no-gaps
(testing "order matters operationally, not just cosmetically: the importer reads recent data, so
an interrupted migration is only safe to resume imports against if the newest months
are the ones already done. Walking :aevt instead would start in 2019."
(let [windows (sut/order-months-newest-first #inst "2026-01-01T12:00:00.000-00:00")
starts (map first windows)]
(is (seq windows))
(is (apply > (map #(.getTime ^java.util.Date %) starts))
"strictly descending — newest month first")
(is (every? (fn [[[next-start _] [_ prev-end]]]
(= (.getTime ^java.util.Date next-start)
(+ (.getTime ^java.util.Date prev-end) (* 24 60 60 1000))))
(partition 2 1 windows))
"each window ends the day before the next one starts, so no order falls between them")
(is (every? (fn [[s e]] (.before ^java.util.Date s ^java.util.Date e)) windows)
"and every window is non-empty"))))
(deftest two-orders-of-the-same-client-keep-sharing-across-batches
(testing "batch size does not change the same-client rule, which the sibling test cannot show
because both its orders land in one batch.
Once the first order re-keys the charge it also writes :charge/client/:charge/location,
so the second order's raw-square-id takes its owner branch, new-key reconstructs the key
the charge already has, and the (not= old new-key) guard drops the row before :action is
read. A clone here would double that client's takings for the day."
(let [{:strs [test-client-id]} (setup-test-data [])
tx @(dc/transact conn [{:db/id "charge"
:charge/external-id "square/charge/same2"
:charge/total 75.0}
{:db/id "o1" :sales-order/external-id "square/order/y-1"
:sales-order/client test-client-id :sales-order/location "CD"
:sales-order/date sales-date :sales-order/charges ["charge"]}
{:db/id "o2" :sales-order/external-id "square/order/y-2"
:sales-order/client test-client-id :sales-order/location "CD"
:sales-order/date sales-date :sales-order/charges ["charge"]}])
o1 (get-in tx [:tempids "o1"]) o2 (get-in tx [:tempids "o2"])
code (:client/code (dc/entity (dc/db conn) test-client-id))]
(is (= {:rekeyed 1 :cloned 0} (sut/split-and-rekey-charges! [o1 o2] 1))
"batch size 1 puts the two orders in separate batches, and still no copy is made")
(is (= 1 (charge-count)) "one payment, not two")
(is (= (str "square/charge/" code "-CD-same2") (:key (first (charges-of o1)))))
(is (= (:eid (first (charges-of o1))) (:eid (first (charges-of o2))))
"both orders still point at the one payment"))))

View File

@@ -1,6 +1,7 @@
(ns auto-ap.jobs.sales-summaries-test
(:require
[auto-ap.datomic :refer [conn]]
[auto-ap.datomic.sales-summaries :as d-ss]
[auto-ap.integration.util :refer [setup-test-data wrap-setup]]
[auto-ap.jobs.sales-summaries :as sut]
[clojure.test :refer [deftest is testing use-fixtures]]
@@ -121,6 +122,42 @@
:sales-order/service-charge -75.0})])
(is (nil? (service-charges-for test-client-id))))))
(defn- refund
"A card refund on `sales-date`. The client+date tuple is set explicitly because
`scan-sales-refunds` walks that index rather than the plain attributes."
[client id total]
{:db/id (str "refund-" id)
:sales-refund/external-id (str "square/refund/TEST-" id)
:sales-refund/client client
:sales-refund/date sales-date
:sales-refund/client+date [client sales-date]
:sales-refund/type "CARD"
:sales-refund/total total})
(defn- returns-for [client]
(#'sut/get-returns client sales-date))
(deftest a-refund-with-no-sales-leaves-the-day-out-of-balance
(testing "deliberate, and load-bearing. Booking a return against the day's refunds would close
it and is tempting for that reason. But a day with refunds and no sales at all is
overwhelmingly a day whose ORDERS WERE NEVER IMPORTED — on a restored copy of
production, 132 of 156 such days fell before their client's first ever synced order.
Balancing them would turn the only signal that a client's sales are missing into
silence. If this test starts failing, read the rollout plan before changing it."
(let [{:strs [test-client-id]} (setup-test-data [])]
@(dc/transact conn [(refund test-client-id "no-sales" 40.0)])
(is (nil? (returns-for test-client-id))
"no return is invented for a day that recorded no sales")
(is (= -40.0 (d-ss/imbalance (sut/get-refund-items test-client-id sales-date)))
"so the day stays out of balance by the refunded amount, visibly"))))
(deftest a-day-that-traded-books-its-own-return
(testing "the ordinary case: the return comes from the day's orders, never from its refunds"
(let [{:strs [test-client-id]} (setup-test-data [])]
@(dc/transact conn [(order test-client-id "traded" {:sales-order/returns 7.0})
(refund test-client-id "same-day" 40.0)])
(is (= 7.0 (:ledger-mapped/amount (returns-for test-client-id)))))))
(deftest dirty-summaries-stop-at-the-client-boundary
(testing "every dirty day for the client is returned, and none belonging to another client.

View File

@@ -76,6 +76,89 @@
:sales-refund/total 10.0}])
(is (= 2 (refund-count)) "two stable entities, one per client, rather than one that flips"))))
(deftest legacy-key-of-another-client-is-not-claimed
(testing "the legacy fallback must not hand one client a record that already belongs to another.
Without this, two clients on one Square location double money in the window between
deploying and finishing the migration."
(setup-test-data [])
(let [tx @(dc/transact conn [{:db/id "mine" :client/code (str "MINE" (rand-int 100000))}
{:db/id "theirs" :client/code (str "THEIRS" (rand-int 100000))}])
mine {:db/id (get-in tx [:tempids "mine"]) :client/code "MINE"}
theirs-id (get-in tx [:tempids "theirs"])]
@(dc/transact conn [{:db/id "r"
:sales-refund/external-id "square/refund/abc"
:sales-refund/client theirs-id
:sales-refund/total 10.0}])
(is (nil? (sut/existing-id (dc/db conn) :sales-refund/external-id "square/refund/"
mine location "abc"))
"a legacy-keyed refund owned by another client is left alone")
(is (some? (sut/existing-id (dc/db conn) :sales-refund/external-id "square/refund/"
{:db/id theirs-id :client/code "THEIRS"} location "abc"))
"its own client still resolves it, so re-keying in place still works"))))
(deftest a-charge-is-owned-by-the-client-of-the-order-that-refers-to-it
(testing "charges predating :charge/client still have orders, and those are exactly the ones
that could be taken by the wrong client"
(let [{:strs [test-client-id]} (setup-test-data [])
other (get-in @(dc/transact conn [{:db/id "o" :client/code (str "OTHER" (rand-int 100000))}])
[:tempids "o"])]
@(dc/transact conn [{:db/id "c" :charge/external-id "square/charge/p1" :charge/total 50.0}
{:db/id "ord" :sales-order/external-id "square/order/x-1"
:sales-order/client test-client-id :sales-order/location "CD"
:sales-order/date #inst "2026-06-03T07:00:00.000-00:00"
:sales-order/charges ["c"]}])
(is (nil? (sut/existing-id (dc/db conn) :charge/external-id "square/charge/"
{:db/id other :client/code "OTHER"} location "p1"))
"ownership is read from the referencing order when :charge/client is absent"))))
(deftest deploy-window-does-not-double-a-second-clients-tender
(testing "the P0 this guard exists for, end to end.
Client A's payout import reaches for a payment whose charge belongs to client B's
order. If A were allowed to re-key it, B's next order import would match neither
scheme, mint a second charge, and — since :sales-order/charges is cardinality-many —
leave B's order holding two charges for one payment."
(let [{:strs [test-client-id]} (setup-test-data [])
b-code (:client/code (dc/entity (dc/db conn) test-client-id))
b {:db/id test-client-id :client/code b-code}
b-loc {:square-location/client-location "LB"}
a-id (get-in @(dc/transact conn [{:db/id "a" :client/code (str "AAA" (rand-int 100000))}])
[:tempids "a"])
a {:db/id a-id :client/code (:client/code (dc/entity (dc/db conn) a-id))}
a-loc {:square-location/client-location "LA"}
tx @(dc/transact conn [{:db/id "x" :charge/external-id "square/charge/P"
:charge/total 100.0 :charge/type-name "CARD"
:charge/client test-client-id :charge/location "LB"}
{:db/id "ob" :sales-order/external-id "square/order/b-1"
:sales-order/client test-client-id :sales-order/location "LB"
:sales-order/date #inst "2026-06-03T07:00:00.000-00:00"
:sales-order/charges ["x"]}])
order-b (get-in tx [:tempids "ob"])
charges-of (fn [o] (map :v (dc/datoms (dc/db conn) :eavt o :sales-order/charges)))]
;; client A's payout import touches the same Square payment
@(dc/transact conn [(into {} (remove (comp nil? val))
{:charge/external-id (sut/scoped-key "square/charge/" a a-loc "P")
:charge/client a-id
:charge/location "LA"
:db/id (sut/existing-id (dc/db conn) :charge/external-id
"square/charge/" a a-loc "P")})])
;; client B's order re-imports
@(dc/transact conn [{:db/id order-b
:sales-order/charges
[(sut/tender->charge {:id "b-1" :created_at "2026-06-03T12:00:00Z"}
b b-loc {:id "P" :type "CARD"
:amount_money {:amount 10000
:currency "USD"}})]}])
(is (= 1 (count (charges-of order-b)))
"B's order still holds exactly one charge for the one payment")
(is (= 100.0 (reduce + 0.0 (map #(:charge/total (dc/entity (dc/db conn) %))
(charges-of order-b))))
"so the day's tender is not doubled")
(is (= (str "square/charge/" b-code "-LB-P")
(:charge/external-id (dc/entity (dc/db conn) (first (charges-of order-b)))))
"and B's own charge was re-keyed in place rather than abandoned"))))
(deftest payouts-and-shifts-are-client-scoped-too
(testing "expected deposits and cash drawer shifts are fetched per location, so two clients on
one location collide on them exactly as refunds and charges did"

View File

@@ -1,6 +1,9 @@
(ns auto-ap.jobs.compare-sales-summaries
(ns auto-ap.tools.compare-sales-summaries
"Compares sales summaries between two points in the same database.
A verification tool, not part of the running application: it lives on the test/dev classpath so
nothing in production can depend on it. Load it from a REPL when auditing a recompute.
The question this exists to answer is narrower than \"did the totals improve\": it is *which
days changed, and were any of them already balanced*. A day that was balanced before and still
balances after can still have had its line amounts move, and that is a real change to the