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ai-job-search/.claude/commands/html-report.md
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Yuan Chen 848eddbecc feat(html-report): add /html-report command for application tracker dashboard (#131)
Self-contained HTML dashboard generated from job_search_tracker.csv and the application archives: stat cards, status/sector/channel/funnel charts as hand-generated inline SVG (no CDN, fully offline), HTML-escaped interpolation throughout, and a filterable applications table. Includes Python guards for the command file and the reports/ gitignore rule.
2026-07-16 21:48:59 +02:00

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# /html-report - Generate Application Tracker Dashboard
Generate a self-contained HTML dashboard from `job_search_tracker.csv` and the application archives under `documents/applications/`. The output is a single `.html` file — no server, no dependencies — that can be opened directly in a browser.
## Step 0: Parse Arguments
- No argument → output to `reports/application-dashboard.html`
- A path argument (e.g. `/html-report ~/Desktop/report.html`) → use that path
- `--open` flag → after writing, tell the user to open the file (cannot open a browser directly)
Create `reports/` if it does not exist.
---
## Step 1: Collect Data
Read in parallel:
1. **`job_search_tracker.csv`** — the primary source. Parse every row into a record with fields:
`date`, `company`, `sector`, `role`, `role_type`, `channel`, `status`, `contact_person`, `fit_rating`, `notes`, `cv_file`, `cover_letter_file`, `source`
2. **`documents/applications/*/outcome.md`** — for each resolved application, read the outcome file to get the exact interview stages reached (the checkboxes) and any notes. Merge this into the matching tracker row by company+role fuzzy match (lowercase, ignore punctuation). If an archive exists for a row but there is no match, attach it as extra context anyway.
Status normalisation — map tracker values to five canonical buckets before computing stats:
- `applied`**Active** (resume submitted, no further signal)
- `interview`**Interview**
- `offer`**Offer**
- `hired`**Hired**
- `rejected` / `no_response` / `no response` / `offer_declined` / `interview_only` / `withdrawn`**Rejected/Closed**
---
## Step 2: Compute Summary Stats
From the normalised data compute:
- **Total applications**
- **By status bucket:** count per bucket
- **By sector:** count per unique sector value
- **By channel:** online vs referral vs other
- **By year/season:** group by the `date` field (which may be a year like `2025` or a full date)
- **Funnel rates:** what % progressed past resume screen (reached Interview or beyond)
- **Rejection rate:** Rejected/Closed ÷ Total with a resolved status (exclude Active)
---
## Step 3: Generate the HTML
Write a single self-contained HTML file. All CSS is inline in a `<style>` block. All JS is inline in a `<script>` block. Draw the doughnut and bar charts as hand-generated inline SVG — no Chart.js, no CDN, no external dependencies of any kind. The report must render fully offline on every open.
**Escaping (required):** HTML-escape every CSV/outcome-file value (`&` `<` `>` `"` `'`) before interpolating it into the page — this includes table cells, `title` attributes on truncated notes, and any text placed inside SVG (`<text>` labels, chart tooltips). Notes and company names copied from job postings routinely contain these characters; unescaped, they break the layout or inject markup into a page the user opens routinely.
### Layout
```
┌─────────────────────────────────────────────┐
│ 🔍 Job Search Dashboard Generated: DATE │
├──────┬──────┬──────┬──────┬──────────────────┤
│Total │Active│Inter-│Offer │Rejected/Closed │ ← stat cards
│ N │ N │view N│ N │ N │
├──────┴──────┴──────┴──────┴──────────────────┤
│ Status breakdown (doughnut) │ By sector (bar)│ ← charts row
├───────────────────────────────────────────── ┤
│ By channel (bar) │ Funnel (horizontal bar) │ ← charts row
├────────────────────────────────────────────── ┤
│ Applications [Status ▾] [Sector ▾] [🔍 ...]│ ← table with filters
│ date │ company │ sector │ role │ status │ ... │
│ ... │
└───────────────────────────────────────────────┘
```
### Design spec
- **Colour palette:** CSS custom properties. Status colours:
- Active: `#3b82f6` (blue)
- Interview: `#f59e0b` (amber)
- Offer: `#8b5cf6` (purple)
- Hired: `#22c55e` (green)
- Rejected/Closed: `#ef4444` (red)
- **Font:** system-ui stack, no web fonts
- **Stat cards:** white background, subtle shadow, large bold number, label below, left border in status colour
- **Charts:** contained in a 2-column grid on wide screens, stacked on narrow
- **Table:**
- Alternating row shading
- Status column uses a coloured pill/badge
- `source` column renders as a hyperlink if the value is a URL (starts with `http`)
- Empty cells render as `—`
- Client-side filter: a text search input filters rows across company + role + sector; the status and sector dropdowns filter independently; all three combine (AND)
- Rows are sorted newest-first by default (by `date` descending, then alphabetically by company)
- **Responsive:** usable at 900px+, not broken below that
- **Footer:** "Generated by Claude Code · ai-job-search · {ISO date}"
### Charts (inline SVG)
1. **Status doughnut** — slices for each status bucket, colours from the palette above
2. **By sector bar** (horizontal) — company count per sector, sorted descending
3. **By channel bar** — online / referral / other
4. **Application funnel** (horizontal bar) — Applied → Interview → Offer → Hired, each bar = count reaching that stage
Build each chart as a hand-written `<svg>` element: compute bar lengths/doughnut arc angles from the stats in Step 2 and emit the `<rect>`/`<path>`/`<circle>` and `<text>` elements directly — no charting library, no `<canvas>`. Each `<svg>` has `role="img"` and an `aria-label` summarizing the chart (e.g. "Status breakdown: 3 Active, 2 Interview, 1 Offer"). Wrap each in a `<div class="chart-card">` with an `<h3>` title above. Remember to escape any label/value text drawn into `<text>` nodes per the escaping rule above.
### Table: columns to include
`Date` · `Company` · `Role` · `Sector` · `Channel` · `Status` · `Notes` (truncated to 80 chars with `title` tooltip for full text) · `Source` (link or `—`)
Columns with only empty values across all rows may be omitted.
---
## Step 4: Write and Confirm
Write the complete HTML to the output path using the Write tool.
Then present:
> **Dashboard generated:** `<output path>`
>
> Open it in any browser — no server needed.
>
> **Summary:**
> - Total applications: N
> - Active: N · Interview: N · Hired: N · Rejected/Closed: N
> - Funnel: N% progressed past resume screen
>
> Re-run `/html-report` any time after adding new entries via `/outcome` to refresh the dashboard.
---
## Design Principles
- **Self-contained.** One file, fully offline — charts are inline SVG, no CDN or external requests of any kind.
- **Data-only.** This command reads and renders; it never writes to the tracker or archive.
- **Idempotent.** Re-running overwrites the previous report at the same path — no accumulation.
- **Graceful on sparse data.** With only a few rows (as now), charts render correctly for small N; the table is the primary value. Do not suppress charts just because N is small.
- **No fabrication.** Every number in the report comes directly from the CSV or outcome files. Do not infer or estimate missing fields.