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The module must be fully integrated with orders, customers, inventory, taxes, refunds, payment gateways, and analytics. Include the following features: - Payments: Support multiple payment gateways, online and offline payment methods, partial payments, split payments, cash on delivery (COD), payment verification, payment retries, recurring payments (where applicable), multi-currency support, and complete payment history. - Refund Management: Enable full and partial refunds, refund approval workflows, automatic gateway refunds (when supported), manual refunds, refund reasons, audit logs, customer notifications, and complete refund history. - Transactions: Maintain a centralized transaction ledger for all financial activities, including payments, refunds, payouts, adjustments, fees, taxes, commissions, discounts, and reconciliations. Every transaction must be traceable and immutable through audit logs. - Payouts: Manage payouts for vendors, affiliates, delivery partners, and other stakeholders. Support payout requests, approval workflows, scheduled payouts, multiple payout methods, payout status tracking, settlement reports, and payment reconciliation. - Taxes & VAT: Implement a flexible tax engine supporting VAT, GST, sales tax, regional tax rules, tax-inclusive and tax-exclusive pricing, multiple tax rates, tax exemptions, reverse tax calculations, automated tax computation, and downloadable tax reports. Support Bangladesh VAT requirements while remaining configurable for other countries. - Invoices: Automatically generate professional invoices, credit notes, debit notes, refund invoices, and payment receipts. Support custom invoice numbering, company branding, digital signatures, PDF generation, email delivery, and invoice downloads. - Accounting Reports: Generate comprehensive financial reports, including Revenue Reports, Expense Reports, Profit & Loss Statements, Balance Sheets, Cash Flow Statements, VAT & Tax Reports, Payment Reconciliation, Outstanding Payments, Refund Reports, and Transaction Summaries. Support filtering, drill-down analysis, scheduled reports, and export to PDF, Excel, and CSV. Additional requirements: - Double-entry accounting architecture with configurable Chart of Accounts. - Automatic journal entries for financial transactions. - Bank and payment gateway reconciliation. - Multi-company and multi-branch support. - Multi-currency with configurable exchange rates. - Financial period management and closing. - Role-based permissions, approval workflows, and complete audit trails. - Real-time financial dashboards and KPI monitoring. - High-performance reporting with caching and optimized queries. - Secure, scalable, extensible, and production-ready architecture that integrates seamlessly with the rest of the application. **This module is 7 sub-modules plus double-entry accounting, multi-company, multi-currency, periods, and approval workflows — several times larger than the analytics build, which took multiple passes. Which slice should this pass deliver?**: Invoices + Accounting reports first **Where should journal entries come from?**: Post synchronously from domain events (Recommended) **How much of multi-company / multi-branch / multi-currency should Phase 1 carry?**: Model it now, single default row (Recommended) **Which cross-cutting extras should be built in this pass? (Pick any)**: Scope-based RBAC + audit trail (Recommended) **Orders currently compute tax with a hardcoded ZeroTaxCalculator, so every invoice would print 0.00 VAT. Should this pass replace it with the real tax engine?**: Yes — ship the VAT engine now (Recommended) **Invoices need PDFs. There is no PDF library in the backend today. How should PDFs be produced?**: Server-side HTML template + print-ready route (Recommended) **Profit & Loss, Balance Sheet, Cash Flow, and Expense Reports need expense, asset, and liability data that does not exist in this repo. How should I handle them?**: Ledger-backed, revenue side real + expense entry (Recommended) **How should invoice documents relate to orders?**: Immutable issued document with snapshot lines (Recommended) Finance foundation: app, chart of accounts, company/branch/currency/period models + migration Tax engine (BD VAT, inclusive/exclusive, exemptions) and wire orders off ZeroTaxCalculator Double-entry ledger: journal posting from invoice/payment/refund/expense events Invoices: numbering, immutable snapshot documents, credit notes, print-ready HTML Accounting reports: ledger-backed statements, VAT report, exports, scope RBAC + audit Finance API surface + admin console section. **The service layer is done (tax, ledger, invoices, 12 reports, exports, RBAC, caching, audit) with 84 tests green, but nothing is reachable over HTTP and `reports.py`/`exports.py`/`access.py`/`documents.py` have no tests. What should this pass deliver?**: Full API + admin console (Recommended) **Invoices need write operations (issue credit note, void). How should those be exposed in this pass?**: Read + credit note + void (Recommended) **The invoice print view returns HTML, not JSON. Who should be able to open it?**: Admin-only, scope-guarded (Recommend ed) Continue whare you stopped...45:o475,115:T463,Looking at the test coverage gaps in the API endpoints, I see that while the profit and loss, revenue, VAT, trial balance, and dashboard reports are tested, there are several report endpoints still missing coverage over HTTP—balance sheet with a 200 response, outstanding payments, payment reconciliation, transactions, cash flow, expenses, and refunds. The view coverage is also incomplete, with balance sheet, outstanding payments, and the reconciliation and transactions views still uncovered. Beyond the missing report endpoints, there's a dispatch bug risk where passing an invalid report type like "grain" to balance_sheet would cause a 500 error in production, so a parametrized smoke test across all report keys with REPORT_SCOPES enforcement would be valuable. I also need to test the selector filters (kind, status, order number, customer email, date, search), CSV injection escaping in exports, the access resolver with both valid and unknown company codes, branch-scoped reports, and HasFinanceScope when no scope is declared. Let me check exports.py and selectors.py to write accurate tests for these areas.116:T5f1,45:o5f1,Openpyxl actually converts the Decimal to a float when writing it out as `0.1`, so the module's claim about exact serialization is misleading. The double representation of 0.1 (0.1000000000000000055511151231257827) gets rounded to its shortest form when Excel reads it back in, so numerically it ends up being the same value. The real issue is that summing many such values can accumulate drift — like 0.1 + 0.2 = 0.30000000000000004 — and in a spreadsheet with money amounts this could show as 1234.5599999999999 instead of the expected total. But this is inherent to how Excel stores numbers as doubles, not something we can fix by writing Decimals. The honest fix is to correct the docstring to reflect what actually happens: the value round-trips correctly for 2-decimal money amounts up to very large numbers, even though 2-decimal values aren't exactly representable in binary floating-point. ble? `0.1` is the shortest round-trip representation of float(Decimal('0.1')), so reading it back gives the same double value, and converting back through Decimal preserves the 2dp fidelity. The only edge case is amounts above 2^53/100 (around 90 trillion BDT), which is unrealistic for typical money values and not worth guarding against. Since openpyxl could write string cells but that breaks formulas, I'll keep the numeric approach and fix the docstring to accurately describe the invariant: the cell is numeric and round-trips exactly at 2 decimal places. Updating the docstrings in exports.py...45:o450,117:T43d,I see the issue now — my assertion checking for `"onerror="` in the HTML is too broad because it's catching the escaped version inside a text node, which is actually safe. The real problem I need to verify is whether ` Invoice: return invoice_service.issue_for_order(make_order(number="ORD-7001")) def rerender(invoice: Invoice, **updates) -> str: """Apply *updates* straight to the row and render. Written through the queryset rather than the model because an issued document is immutable by design — the point of these tests is the *rendering* of a state, not permission to reach it through the service. """ if updates: Invoice.objects.filter(pk=invoice.pk).update(**updates) invoice.refresh_from_db() return render_invoice_html(invoice) # --------------------------------------------------------------------------- # Escaping # --------------------------------------------------------------------------- @pytest.mark.django_db def test_a_hostile_customer_name_cannot_execute_in_the_admin_session(invoice): """A checkout recipient name is free text. It is snapshotted onto the document and printed into a page only administrators can open, so if it is not escaped the attacker's script runs with a finance session's privileges.""" html = rerender( invoice, buyer_snapshot={ "name": '', "address_lines": ["

"], "city": "Dhaka", }, ) # The test is whether a tag can *start*, not whether the payload's characters # appear: "onerror=" inside escaped text is inert prose, and asserting its # absence would fail on a correctly escaped document. # Asserted on the markup, not on the substring "onerror": the payload's text # survives inside the escaped node by design, and that is exactly what makes it # inert. What must not survive is a real tag or a real attribute boundary. assert "' ) html = rerender(invoice, status=Invoice.Status.VOID, void_reason="") assert "'}) assert "