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068f14bbfb |
feat(reports): the document says its answer before you open it
A design pass over the rendered documents, on the six themes, the print stylesheet, the charts and the cover artwork. The brief was a baseline that looked templated; the bar was a client deliverable someone would be proud to hand over. The structural failure was the severity chart. On a real scan, 589 informational findings swamped 20 criticals into an invisible sliver, on the one page everyone reads. Severity counts are now stat tiles, so the number is always legible, and the ring and bar draw only the actionable set with the informational total stated in the caption. That is the dataviz rule that a dominant neutral bucket is a KPI, not a slice. The executive page now opens with a verdict band: the gauge, the headline, the severity tiles, then five surface figures in one row, and only then the prose at a readable measure. Every cover carries a grade mark, so the report tells you its answer on the front; on blueprint the reticle artwork is drawn around it. Findings are a card with a hierarchy and a facts row where a table used to be, control mapping is a line of text per framework rather than a wall of chips, tables have a settled rhythm, and the section number sits in the accent. The warning collector from the previous commit found every WeasyPrint defect here. font-weight accepts only the hundreds, so two themes had been rendering headings in a silent bold. content(text) drops the whitespace between an inline span and its neighbour, so the running header read "1Executive summary" and the bookmark with it; both now read a precomputed attribute. break-after: avoid on a div is not honoured, so labels were orphaning from their content. A dark-paper theme needs its background on @page as well as html, or the margins print white, which is why noir had a white frame. word-break: break-word is invalid, and the hostname column in the asset table was being crushed to a sliver by auto layout. Two string edits in this pass silently missed because ruff had reformatted the target; reading the function back after each edit is now written down. Verified on the gov.cy scan: all 26 sections in all six themes, 57 to 60 pages each, zero renderer warnings. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017f2Mf2HGwFaTRnui4UxpRd |
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0522444245 |
feat(reports): white-labelling, and a renderer that cannot be made to fetch
Uploaded typefaces and instance-wide branding defaults, which together make a report genuinely white-labellable: a client's own font, a logo set once, and a theme that names both. The security half came first, because the logo field was a live SSRF. It was a free-text string rendered into an <img src>, and WeasyPrint would have fetched whatever it pointed at from inside the worker. Nothing fetches now, at four layers. The load-bearing one is a WeasyPrint url_fetcher that allows data: URIs and files under three known roots and refuses everything else; it was checked against cloud metadata, internal https, loopback, /etc/passwd, a UNC host, ftp and protocol-relative references. Above it sit three input guards: a logo must be embedded data of a known image type, an uploaded theme may not use @import or a url() that is not data:, and authored markdown loses any image that is not embedded. A new feature that lets a report name a resource goes through the fetcher, not around it. A typeface is bytes, never a link. The family row records files named by us, so a hostile filename never reaches disk, and the family directory refuses anything resolving outside itself. A face is accepted only when the bytes agree: the signature is sniffed and then fontTools opens it and requires outlines, which is why fonttools is now an api dependency rather than only a WeasyPrint one. A 5-byte file with a valid TTF header and a 4 KB file of padding are both refused. The family name is banned from carrying quotes or braces because it is written into a quoted CSS font-family string. The standalone HTML export now embeds only the families the theme actually names, which halves it, and no longer carries file:// references that would have been dead outside the container. Instance defaults fill only what a template leaves blank, so setting a logo once never overrides a per-client deliverable that set its own. Verified: a real TTF family uploaded and embedded in a 53-page PDF under an uploaded theme with an uploaded logo, and every probe above refused. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017f2Mf2HGwFaTRnui4UxpRd |
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424e6d6e23 |
feat(reports): a document engine, not an export
reNgine 2 could produce a PDF. This produces a deliverable, and it is built the way scan engines are built: sections are plug-and-play directories under reports/, each with a pydantic config model that IS the source of truth. That model feeds GET /reports/catalog, the builder renders its own form from it, and the API validates against it. Adding a section is a directory. Scan Engine is to stages what Report Template is to sections. WeasyPrint 69 renders it, chosen over Chromium and Typst after measuring what each can actually do. Only real CSS Paged Media gives a table of contents with true page numbers, running headers, a PDF outline and footnotes; SysReptor reaches the same verdict and pipes Chromium's HTML into WeasyPrint for exactly that reason. reNgine drops the Chromium hop because it templates in Jinja and draws its charts as SVG in Python, so a browser buys nothing and costs 400 MB per report. Typst was rejected because a user-uploadable theme would then have to be Typst code rather than CSS. A theme is data. shared/definitions/report_theme.py is the schema, six themes ship as YAML, and a user uploads their own; there is no markup in a theme, so there is no injection surface. Fonts are vendored so an offline instance still renders in Latin, Greek and Cyrillic. Everything the document claims is computed once, in reports/analysis/engine.py: a posture score whose every deduction is named, weaknesses ranked by the signals behind the rank rather than severity alone, attack paths that chain observations into a route, a remediation plan ordered by risk removed, per-dimension change against the previous run, and caveats that state what was never assessed. Two narrators read that one brief. Without AI the report still argues its case; with AI the prose is better and the model never sees a row, only the brief, capped and cached per check. An AI failure falls back and the report still completes. Generation is a job. POST /reports queues, the worker walks progress over SSE, and four formats come out of one render: PDF, self-contained HTML, Markdown and JSON. The estimate reads each section's own limits, so the page count it promises is close to the one it delivers. AI moves out of Settings into its own top-level page: connection, a model per tier, what it may be used for, what it has cost, and the narrative cache. Verified on a 1,379-host gov.cy scan: 124 pages in 19.5s across 19 sections, all six themes, and a broken key still producing a complete report. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017f2Mf2HGwFaTRnui4UxpRd |