ceeae77e7d
Swap the SQLite backing store for petalbrain Postgres + pgvector, modeled on vault-mcp. All second-brain relational tables now live in the `second_brain` schema (owned by the lovebug role); embeddings are written to the shared public.embeddings table. Locked design decisions (per Travis): - DB: existing petalbrain Postgres, second_brain schema, lovebug role. - Connection: containerized homelab-postgres:5432, plain psycopg_pool (min=1/max=10), no PgBouncer. - ORM stays SQLAlchemy; int autoincrement PKs + naive UTC DateTime. - Embeddings: reuse shared public.embeddings keyed by (source_schema='second_brain', source_table='extractions', source_id, model='nomic-embed-text'). Summaries only for this round. - Pipeline: chunk_text → Ollama nomic-embed-text → delete-before-insert upsert, with graceful degradation (no DB / no Ollama → log + skip). - Alembic stands up second-brain's own schema; public.embeddings stays out-of-band. - File-based wiki compiler is unchanged. No SQLite data import — starting clean. This commit is the scaffolding only; `alembic upgrade head` and a smoke test of the embedding path are the next checkpoint.
45 lines
1.3 KiB
TOML
45 lines
1.3 KiB
TOML
[project]
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name = "second-brain"
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version = "0.1.0"
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description = "Personal knowledge system: video/article extraction pipeline + LLM-maintained wiki"
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requires-python = ">=3.12"
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dependencies = [
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"alembic>=1.13.0",
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"click>=8.1.0",
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"embedding-chunking",
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"fastapi>=0.115.0",
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"httpx>=0.28.0",
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"jinja2>=3.1.0",
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"openai-whisper",
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"psycopg[binary]>=3.2",
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"psycopg-pool>=3.2",
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"pydantic>=2.0.0",
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"python-dotenv>=1.0.0",
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"sqlalchemy>=2.0.0",
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"tomli>=2.0.0",
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"trafilatura>=1.9.0",
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"uvicorn[standard]>=0.30.0",
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"yt-dlp>=2024.1.0",
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]
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[project.optional-dependencies]
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# Only required when extractor.backend = "api" in settings.toml.
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# The default "cli" backend shells out to the Claude Code CLI under your
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# Max OAuth subscription and has no Python-side Anthropic dependency.
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api = ["anthropic>=0.40.0"]
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[tool.uv.sources]
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# Shared chunker that vault-mcp / ob1-enricher / ob1-reflector also pin.
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# Same source so the 512/64 chunking stays in lockstep across services.
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embedding-chunking = { git = "https://gitea.plantbasedsoutherner.com/petal-power/embedding-chunking.git", tag = "v0.1.0" }
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[project.scripts]
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second-brain = "second_brain.main:cli"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["src/second_brain"]
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