Phase 2/6. Persists "how to read this bank's statements" as JSON files under ``~/.datatools/pdf_templates/<slug>.json`` so an accountant can build one template per source and reuse it across every statement that follows the same layout. Public API: - ``new_template(name)`` — blank with sensible defaults - ``save_template(t)`` — validate + atomic write (temp + rename) - ``load_template(slug)`` / ``delete_template(slug)`` - ``list_templates()`` — sorted summaries, skips corrupt files - ``template_to_json`` / ``template_from_json`` — portability - ``validate_template(t)`` — returns (ok, errors) list for GUI Schema is documented in the module docstring. Versioned via ``schema_version: 1`` so future fields don't break saved files silently — ``load_template`` refuses unknown versions instead of limping along with missing keys. Validation contract enforces: - non-empty name + slug (lowercase alphanumeric + hyphens) - at least two output columns - at least one column mapped to ``date`` - either one ``amount`` column OR both ``amount_debit`` + ``amount_credit`` - column boundary count consistent with source-column count Storage is atomic: ``_atomic_write`` goes through a temp file + ``os.replace`` so a crashed save can't leave a half-written JSON at the canonical path. The GUI's build flow saves on most visual-picker changes, so this matters more here than for a "save button" workflow. 24 tests cover slugify, defaults, validation branches, round-trip load/save, missing/corrupt file handling, delete, list (incl. skipping corrupt files), atomic-write rollback, and import/export. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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