[19.0][ADD] ai_sale_product_matcher: find best-matched PIM products from requirement docs/images using AI

[volkantasci]

Adds ai_sale_product_matcher — find best-matched PIM products from requirement docs/images using a vision LLM.

What it does

Upload a spec sheet, email screenshot or type requirements (e.g. "120 bar soğuk sulu, monofaze, 2.3kW, deterjan tanklı") — the module extracts a canonical requirements JSON using the same ai_connection openai_compatible vision pipeline as ai_document_extraction (only prompts differ), then scores all product.template records against the PIM attribute catalog (katalog-sablonu.json → 232 keys) with type-aware matching (range, tolerance, fuzzy, directional en az/en fazla) and weighted groups. Top 10 matches are shown on the Sale Order with match % and can be added as order lines.

Sales integration: sale.order → Find Products with AI wizard (file + text → Extract → editable JSON → Find Matches → Add to Order). Extraction runs via queue_job + bus so UI never blocks.

Key features:

• Vision LLM extraction (PDF/image with pdf2image/Pillow preprocessing, multi-page support, live PIM key set in prompt, English prompts sector-independent)
• Type-aware product matching (exact/range/tolerance + missing-neutral scoring, Brand/Category optional filter)
• Ranked results (matched count first, then weighted % — ideal product is top)
• Async via queue_job + bus (non-blocking wizard)
• Full queue_job/bus/ai_connection deps, ACL, i18n (TR), tests

Technical notes

• Depends on sale, product, bus, queue_job, ai_connection, ai_tool (same stack as ai_document_extraction).
• Uses ai_connection OpenAI-compatible client; prompts filtered to non-null keys to avoid truncation/401.
• Tests mock LLM at service boundary (test_product_matcher, test_requirement_extractor).
• Follows OCA 19.0 scaffolding (readme fragments, ir.model.access.csv, AGPL-3).

cc @OCA/ai-maintainers

[oca-cla-bot]

The following commit authors need to sign the Contributor License Agreement:

• me@volkantasci.com