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Enhance template matching and chain inspection features 
- Added new properties to TemplateMatch interface for tracking slots and links completeness, and confidence levels.
- Updated resolveCanonicalEdgeType function to handle optional edge vocabulary.
- Enhanced computeFindings function to include missing link constraints findings.
- Improved inspectChains function to report on links completeness and confidence levels.
- Refactored tests to utilize real configuration files and improve integration with the vault structure.
- Updated helper functions to support loading from real vault paths, enhancing test reliability.
2026-01-18 22:10:44 +01:00
..
CHAIN_INSPECTOR_V02_REPORT.md Implement findings fixing and template matching features in Mindnet plugin 2026-01-18 21:10:33 +01:00
CHAIN_INSPECTOR_V03_REPORT.md Implement findings fixing and template matching features in Mindnet plugin 2026-01-18 21:10:33 +01:00
CHAIN_INSPECTOR_V04_REPORT.md Implement findings fixing and template matching features in Mindnet plugin 2026-01-18 21:10:33 +01:00
CHAIN_INSPECTOR_V042_REPORT.md v0.4.2 Enhance interview functionality and settings; add YAML dependency 2026-01-18 21:46:20 +01:00
CHAIN_INSPECTOR_V0_REPORT.md Implement chain roles and templates management in Mindnet plugin 2026-01-18 14:50:17 +01:00
DANGLING_TARGET_CASES.md Implement findings fixing and template matching features in Mindnet plugin 2026-01-18 21:10:33 +01:00
Handbuch.md Doku MVP1.0 2026-01-17 10:56:59 +01:00
readme.md Doku MVP1.0 2026-01-17 10:56:59 +01:00
TESTING_WITH_REAL_VAULT.md Enhance template matching and chain inspection features 2026-01-18 22:10:44 +01:00

readme.md

README — Mindnet Obsidian Plugin (MVP 1.0)

Überblick

Das Mindnet Obsidian Plugin ist ein Authoring-Tool, das dich dabei unterstützt:

  • Mindnet-Notes strukturiert anzulegen (Frontmatter, IDs, Typen)
  • Inhalte über konfigurierbare Interviews zu erfassen
  • semantische Kanten (Edges) zu pflegen und zu validieren
  • Links und Edge-Zuordnungen innerhalb einer Note section-basiert zu gruppieren (Semantic Mapping)

Hauptkonzepte

  • Profile: Auswahl eines “Erstell-Profils” (kann mehrere Interviews pro Note-Typ geben).
  • Interview Config (YAML): definiert Steps, Loops, Defaults, Frontmatter-Whitelist.
  • ID-first: Mindnet-Graph arbeitet über Frontmatter id als Schlüssel.
  • Semantic Mapping: links in einer Section werden Edge-Typen zugeordnet und als Callouts strukturiert.

Quickstart (User)

  1. Plugin installieren (siehe Handbuch: Deployment)
  2. Settings:
    • edge_vocabulary path setzen
    • graph_schema path setzen
    • interview_config path setzen
  3. Neue Note:
    • Command: Mindnet: Create note from profile
    • Profil wählen, Titel setzen, Folder wählen
    • Wizard ausfüllen, Finish
    • Edger läuft optional post-run und baut Semantic Mapping Blöcke

Commands (Auszug)

  • Create/Interview:
    • Mindnet: Create note from profile
    • (Auto) Start Wizard nach Create (konfigurierbar)
  • Mapping/Edges:
    • Mindnet: Build semantic mapping blocks (by section)
    • Mindnet: Reload edge vocabulary
    • (post-run) Edger nach Interview Finish
  • QA:
    • Mindnet: Validate current note (Lint)
  • Export/Graph:
    • Mindnet: Export graph (JSON)
    • Mindnet: Show chains from current note

Konfigurationsdateien (typisch im Vault)

  • _system/dictionary/edge_vocabulary.md
  • _system/dictionary/graph_schema.md
  • _system/dictionary/interview_config.yaml