v0.7.0

Added

• Added a doctor CLI command for bring-your-own-vault parser, graph,
  metadata, and warehouse readiness checks.
• Added entity-contract and onboarding documentation for generic entity usage.
• Added minimal and custom-entity example vaults.
• Added contract tests proving custom folder-derived entity types flow through
  the dbt generic entity marts.

Changed

• Custom top-level folders now become singular generic entity types, such as
  Clients/ to client and Assets/ to asset.
• DuckDB ingest now handles valid vaults with empty parsed tables such as no
  tags or no tasks.

v0.6.0

Added

• Added a pipeline status API and web UI status panel showing warehouse snapshot
  availability, simulation state, and key dbt table row counts.
• Added allowed-root vault path validation for hardened HTTP deployments.
• Added freshness-aware context caching so MCP/web fallback reads update after
  vault file changes.
• Added formal web API endpoints for projects, people, companies, risks,
  decisions, and open loops over dbt marts.
• Added generic entity dbt marts, API routes, and MCP tools for entity types,
  relationships, states, events, context, and open loops while preserving typed
  project/person/risk/decision compatibility surfaces.

v0.5.1

Added

• Added a DuckDB/dbt warehouse query adapter for the web UI and MCP tools.
• Added MCP tools for dbt mart-backed project context, person context, open loops, decisions, and risks.

Changed

• The web UI and warehouse-oriented MCP tools now prefer the persisted dbt DuckDB marts when available, falling back to the in-memory vault warehouse otherwise.
• Docker and Airflow now publish a stable read-only DuckDB snapshot after successful dbt tests so web and MCP readers do not query the live writer database during pipeline runs.

v0.5.0

v0.5.0

This release turns the project into a Dockerized Obsidian warehouse simulation that can be run from a fresh clone.

Highlights

• Added lifecycle-aware synthetic vault data with realistic source and observed timestamps.
• Added deterministic synthetic vault generation and virtual-day vault simulation.
• Added Docker Compose simulation services for seed generation, live vault browsing, Airflow, live web UI, and live MCP.
• Added an Airflow DAG that advances virtual time and runs ingest, dbt run, and dbt test once per minute.
• Added DuckDB landing tables and dbt medallion models over parsed Obsidian content.
• Added incremental context marts for people, companies, projects, mentions, decisions, risks, open loops, person context, and project context.
• Improved local Docker startup reliability for fresh named volumes.
• Fixed entity matching so similarly named projects such as Project Atlas 1 and Project Atlas 16 do not leak into each other's query results.

Verification

• Fresh clone Docker simulation smoke test passed.
• Airflow DAG completed successfully.
• dbt run passed with 25 models.
• dbt test passed with 90 tests.
• Python test suite passed with 34 tests.

v0.4.0

Added

• Added Dockerfile and Docker Compose stack for the synthetic vault, web UI, MCP HTTP service, and pipeline checks.
• Added obsidian-mcp-context-web, a small local web UI over the deterministic warehouse.
• Added MCP server --host and --port flags for containerized HTTP transports.
• Added DuckDB ingest command for base_obsidian_* landing tables.
• Added dbt staging, intermediate, mart models, and tests for deterministic Obsidian dimensions, facts, and timeline mart.
• Added Docker Compose ingest, dbt, and dbt-backed pipeline services.