feat: IMAP mail sync with thread-to-contact matching (PRD §6.1)
Real IMAP connection via imapflow library: - Connects to IMAP server (IMAPFlow, TLS on port 993) - Fetches recent messages (configurable limit, default 20) - Extracts: from, fromEmail, subject, date, snippet (200 chars) - Thread-to-contact matching (PRD §6.1): 1. Match sender email against persons table 2. If no person match, extract domain and match against company.website 3. Returns matchedCompany + matchedPerson for each email - Audit-logged (action: crm.mailsync:imap) - Zod validated (host, port, user, password, folder, limit) - 502 on IMAP connection failure with detail - 400 on validation failure Tested: invalid creds → 502 'IMAP connection failed', missing host → 400
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# Figure QA For Experiment Packages
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Use this before delivery or before passing figures to `paper-writer`.
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## Export bundle
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The ideal bundle per figure is:
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- `<basename>.pdf` for paper reuse
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- `<basename>.svg` for editable vector text
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- `<basename>.tiff` for journal upload when needed
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- `make_<basename>.py` as the source of truth
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If the environment cannot produce all three, keep PDF mandatory and note the limitation.
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## Editable-text rules
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For matplotlib-based figures:
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```python
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plt.rcParams["svg.fonttype"] = "none"
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plt.rcParams["pdf.fonttype"] = 42
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plt.rcParams["ps.fonttype"] = 42
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```
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This keeps SVG text editable and PDF text embedded.
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## Minimum QA checklist
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- Figure title / axes / legend readable at final size
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- No legend overlapping the data
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- No default matplotlib color cycle
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- Panel labels consistent across figures
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- Simulated watermark present iff the run is simulated
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- Figure caption can stand alone in the report
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- Statistics in the caption or surrounding prose define mean/std/CI and seed count
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## For image-based experiment figures
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If the figure contains microscopy, pathology, blots, or spatial overlays, also record:
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- raw image source
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- crop
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- brightness/contrast handling
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- scale-bar presence
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- whether pseudo-coloring was applied
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## Anti-patterns
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- 3-D bars
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- pie charts for quantitative comparison
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- saturated rainbow heatmaps without justification
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- repeated legends in every panel
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- simulated figures without visible disclosure
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