Serialises distinct (project_id, team_id) pairs from WorkLog as JSON on
the generate_report context. The upcoming pill-popover JS (Task 4 of the
inline-filters plan) uses this to hide teams that haven't worked on a
selected project (and vice versa) without any extra HTTP round-trips.
Scope: entire history (not the report date range) — cross-filter is about
data possibility, not data shown in this period. Filters out NULL
project or team (can't cross-filter on NULL).
2 tests cover: key is populated with correct pairs; NULL-team logs don't
leak into the pairs list.
No visible behaviour change — template doesn't consume the new key yet.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
project_id/team_id become project_ids/team_ids (list[int] or None).
Every internal filter uses the __in lookup; M2M filters use the
id__in subquery pattern documented in CLAUDE.md's Django ORM gotcha.
generate_report and generate_report_pdf switch to request.GET.getlist.
Old URL ?project=1 still works - getlist returns a single-element list.
Return dict gains six hero-KPI keys: current_outstanding, current_as_of,
company_avg_daily, company_avg_monthly, company_working_days,
team_project_activity - ready for the template restructure in Tasks 9-12.
Tests: 3 new multi-filter tests; existing inflation tests updated to the
new kwarg names. 42 total, all pass.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Chapter I of the executive report needs per-project working-day count and
avg rand per working day. Instead of modifying the shared _get_labour_costs
helper (used by other sections with different column sets), enrich the
output INSIDE _build_report_context: wrap the raw result and add
working_days (distinct work-log dates per project) and avg_per_working_day
(total_cost / working_days, null-safe).
Also attaches start_date from the Project model (may be None if not set).
1 test added.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Chapter IV pivot backend: for each (team, project) pair in the given
work-logs queryset, counts distinct work-log dates. Returns columns
(projects), rows (teams with cell dict), column totals, and grand total
ready for direct template rendering.
Logs with NULL team or NULL project are excluded (can't pivot on NULL).
Teams/projects with zero activity don't appear as rows/columns — keeps
the pivot tight.
Tests cover shape, cell counts, row+column+grand totals, and
zero-activity team omission.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Two tweaks from code review on 82594fa:
1. The sort `key=lambda r: -r['amount']` placed NEGATIVE amounts
(rare but possible: a project with only a deductive adjustment)
AHEAD of larger positive exposures. Swapped to
`key=lambda r: r['amount'], reverse=True` — same runtime, clearer
intent, correct for negatives.
2. test_team_filter_scopes_total only asserted the net total. A
partial scoping regression where the adjustment leaked but netted
to zero would have silently passed. Added two assertions that
by_project has exactly the expected 2 entries and R 500 never
appears in the amount list.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Hero KPI card 2 needs 'Outstanding NOW' scoped to the report's selected
projects/teams. This helper wraps _compute_outstanding, reshapes the
by_project dict into a sorted list, and exposes the net total for direct
rendering.
Tests cover unfiltered total, project-scoped total, and team-scoped
total (including the worker__teams subquery path for adjustments).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Computes company-wide avg daily and monthly labour cost for the
executive report's hero KPI band (cards 3 and 4). Denominator is
working days (distinct work-log dates), not calendar days — true
cost-of-a-productive-day metric per design section 2.
Monthly = daily * 30.44 (the 365.25/12 month-length approximation,
which keeps annualised totals correct on average).
Tests cover: empty DB returns zero, known values with assertAlmostEqual
for the 30.44 multiplication, and that multiple workers on one date
count as 1 working day (not N).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Reported: when creating a new team or project from the friendly UI
(/teams/new/ or /projects/new/), the Supervisor dropdown only lists
is_staff / is_superuser accounts. Users who should be eligible to
supervise (e.g. eendman, supervisor_smoke) are invisible in the
picker even though they are active.
Root cause:
core.forms._supervisor_user_queryset filtered to
is_active=True AND (is_staff OR is_superuser OR groups__name='Work Logger')
That was strictly more restrictive than the app's own permission
helper is_supervisor(user) in views.py, which grants supervisor
powers to ANYONE assigned to a team/project (via the team.supervisor
FK or project.supervisors M2M), regardless of group membership.
On Konrad's dev DB that excluded 2 of 6 active users from the picker
(one in a custom group, one in no group) even though both were valid
supervisor candidates by the permission model.
Fix:
Queryset now returns every active user. The act of assigning a user
to a team/project is what confers supervisor-ness downstream, so
the picker no longer needs a pre-registered allow-list. Inactive
users (is_active=False) remain excluded — the one hard guardrail.
Docstring rewritten to explain the new behavior and why. Stale comment
in TeamForm.__init__ updated to match (the old comment still described
the pre-fix Work-Logger-group requirement).
Tests: 4 new regression tests in SupervisorPickerQuerysetTests:
- regular active user is selectable (the core bug)
- user in an unrelated group is selectable
- inactive user is still excluded (guardrail)
- admin is still selectable (no regression for prior use case)
All 28 tests pass.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Reported: when the generate-report page is filtered by BOTH project and
team, every amount in the "Worker Breakdown" and "Payments by Date"
tables blew up by ~100x. Example: Billy Baloyi R 5,400 (correct)
became R 604,800 (wrong, 112x) after selecting Wilkot + Civils One.
Root cause:
_build_report_context chained `records.filter(work_logs__project_id=X)
.distinct().filter(work_logs__team_id=Y).distinct()`. In Django's ORM
each chained M2M filter creates a SEPARATE JOIN alias on
core_payrollrecord_work_logs, so the SQL produces the cartesian product
of (matching-logs-for-project) x (matching-logs-for-team) rows per
PayrollRecord. A downstream `.values().annotate(Sum('amount_paid'))`
then summed across those duplicated rows - inflating every total by
N * M where N and M are the log counts per record.
Why total_paid_out looked correct: `.aggregate(Sum(...))` wraps the
query in a subquery when distinct() is in play, so it dedupes before
summing. `.values().annotate(Sum(...))` uses GROUP BY on the raw
joined rows and doesn't get that help.
Fix:
Replace chained M2M filters with id__in subquery filters:
records.filter(id__in=PayrollRecord.objects.filter(
work_logs__project_id=X).values('id'))
This keeps the outer queryset JOIN-free, so values().annotate(Sum())
aggregates over distinct records. Same pattern applied to the
adjustments team-filter (worker__teams M2M) for the adjustment
summary.
Tests: 5 new regression tests in ReportContextFilterInflationTests
covering project-only, team-only, both-filters, total_paid_out
invariant, and the adjustment summary path. All 24 tests pass
(19 existing + 5 new).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds a consolidated regression test to WorkLogPayrollAjaxTests that
exercises: paid worker serialization shape, null team branch, OT flag
in JSON, full_page_url value, and adjustment payslip-link serialization.
Closes the 'Important' coverage gap flagged in Task 3's quality review.
Also appends a 'Shipped' block to the design doc summarising QA
status and capturing all five deferred nits (admin-gate consistency,
template branch tests, |default:0 redundancy, admin-gate expression
readability, background vs background-color) so they survive the
merge into project history.
All 19 tests pass. manage.py check clean. No migrations needed.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
work_log_payroll_ajax serializes the helper's output to JSON with
floats (not Decimals), ISO dates, and payroll_record/worker IDs for
client-side link construction. Admin-only; supervisor = 403, anon =
302, unknown log = 404. Matches the worker_lookup_ajax pattern.
Added 4 view-level tests (total 16 passing).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The helper used log.overtime (which doesn't exist on WorkLog); the
correct field is overtime_amount. Combined with a defensive
`getattr(..., None) or 0`, the bug made the flag permanently False,
which would have silently hidden the 'Price now' banner in Tasks 3
and 4. Now reads overtime_amount directly (it's non-nullable with a
0.00 default, so no defensive shim is needed).
Adds 4 regression tests:
- test_overtime_needs_pricing_flag: the bug that just got fixed
- test_query_count_is_bounded: N+1 guard (4 queries regardless of worker count)
- test_empty_log_returns_zero_totals: log with no workers attached
- test_log_without_team_has_no_pay_period: log whose team became NULL
Also removes unused `reverse` import from tests.py.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Pure-function helper that classifies each worker on a work log as
Paid / Priced-not-paid / Unpaid, collects log-linked adjustments,
and computes totals + pay-period context. Used by both the AJAX
endpoint and the full-page view so they can't drift.
Bootstraps core/tests.py (was empty); 8 tests cover the three
statuses, totals, log-linked adjustments, and the pay-period branch.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
