test: cover the HTML text extractor and the regulation indicators report

[marceloarocha]

Increases coverage on two features that had no tests of their own.

1. utils/htmlutils — HTML to styled text runs (tests/unit/test_htmlutils.py)

html_to_runs turns the HTML stored by the rich text editors into (text, bold) runs, which is what keeps the clinical note PDF looking like what the user typed. It was only reached incidentally through the digital-signature tests, so none of its rules were actually asserted.

51 tests pin:

• Emphasis — <b>/<strong>, headings, <th>, inline font-weight (bold/bolder/600-900 vs. normal/400/500), inheritance into nested elements and the fact that emphasis does not leak past its element.
• Line breaks — <br>, every block tag, void tags that must not break, the one-blank-line cap, whitespace trimmed before a break and around the whole fragment.
• Annotation close buttons — the close-btn anchor's "X" is dropped (including when it carries other classes), while regular links keep their text.
• Malformed markup — unclosed elements, closing an outer element while an inner one is still open, a stray closing tag, unknown tags.
• normalize_runs used directly by the PDF service to assemble custom form answers.

2. Regulation indicators panel report (tests/unit/test_reports_regulation.py)

services/reports/reports_regulation_service (44% covered) and repository/reports/reports_regulation_repository (10% covered) serve three endpoints with no tests:

• /reports/regulation/indicators-panel
• /reports/regulation/indicators-panel-csv
• /reports/regulation/indicators-summary

79 tests cover:

• Payload mapping — every column of rel_painel_juntos under its API name, ISO dates, the three-state indicator booleans left uncoerced, rows with no dates, and the count read from the window function rather than len().
• HIDE_NAMES masking — the identifying fields become *** while the clinical columns stay readable.
• CSV download — the header contract, header/row alignment, the three rendered indicator states (Sim / Não / Não se aplica), empty cells for null dates, and the fixed 10000-row cap that overrides the requested limit.
• Query building — the current-version filter, the target-group filter and the has_indicator filter for each of the eight indicators, the case-insensitive contains searches, the exact and range filters, filter combination, paging, and the ordering rules (including that birthdate is sorted by age, so its direction is inverted, and that a non-whitelisted sort field is ignored). Asserted through the compiled SQL.
• Weighted summary — schema scoping, the empty view, the five indicators and their weights, rounding, and a null score reported as zero.
• Permission gate — all three endpoints reject a role without READ_REPORTS.

A guard test also fails if a new value is added to RegulationIndicatorReportEnum without making it filterable in the report.

Why unit tests

The regulation tables live in a separate DDL file that neither CI nor make test-setup loads, so these follow the approach already used by tests/unit/test_regulation_solicitation.py: db is replaced with a recording session double and the repository is patched when testing the service. Real SQLAlchemy model instances and real query expressions are still used, so the column mapping and the filters are exercised for real.

Result

module	before	after
utils/htmlutils.py	89%	100%
services/reports/reports_regulation_service.py	44%	100%
repository/reports/reports_regulation_repository.py	10%	100%

Tests only — no production code changed. Full suite: 2507 passed. ruff check . clean.

🤖 Generated with Claude Code

https://claude.ai/code/session_01EFdmF6YmEHRdLZwgkuKPwc

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Generated by Claude Code

[amazon-q-developer]

This PR successfully adds comprehensive test coverage for two previously under-tested features: the HTML text extractor and the regulation indicators report. The tests are well-structured, use appropriate mocking strategies, and achieve 100% coverage for the targeted modules.

Tests-only PR - No production code changes

Both test files demonstrate strong testing practices with clear test names, comprehensive edge case coverage, and proper use of pytest features. The approach of using recording sessions and mocks for database-dependent code is appropriate for these unit tests.

No blocking issues found. The PR is ready to merge.

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