daylily-tapdb 6.0.9

Templated Abstract Polymorphic Database - A flexible object model library

tapdb (Templated Abstract Polymorphic Database)

An important mental shift is that templates describe shape, not business truth. Application repos own domain semantics and TAPDB stores the substrate that those semantics sit on.

tapdb-core is the repository for TAPDB, a reusable PostgreSQL-backed substrate for typed, versioned, auditable entities. The Python import package remains daylily_tapdb for now.

It is intentionally not a domain application. TAPDB provides the generic persistence and runtime mechanics that higher-level repos use to model their own business objects. Bloom is a motivating example of the kind of system TAPDB supports, but Bloom-specific workflow semantics do not belong in TAPDB itself.

At a high level TAPDB combines:

• SQLAlchemy polymorphic models over a small, schema-stable core
• template packs that define object shape and behavior
• concrete instances created from those templates
• lineage edges that describe relationships and history
• audit, outbox, and inbox tables that preserve change and delivery state
• explicit domain, application, and tenant scoping

flowchart TB
    App["Client application repo\n(Bloom or another domain app)"]
    CLI["tapdb CLI"]
    Lib["daylily_tapdb library"]
    DB["PostgreSQL\nschema + triggers + RLS"]
    Core["tapdb-core repository\nTAPDB core substrate\nTemplates / Instances / Lineage / Audit / Outbox / Inbox"]
    Domain["App-owned domain code\nTemplates, workflows, UI, integrations"]

    App --> Domain
    Domain --> CLI
    Domain --> Lib
    CLI --> Core
    Lib --> Core
    Core --> DB
    DB --> Core

Quickstart

The tapdb-core repo follows a CLI-first workflow. Start by activating the repo environment:

source ./activate

The canonical operational form for runtime commands is:

tapdb --config <path> --env <name> ...

Smoke the installed CLI surface first:

tapdb --help
tapdb version
bash examples/readme/00_smoke.sh

For a fuller local bootstrap, use the namespaced config flow and then bring up the local runtime:

tapdb --config ~/.config/tapdb/<client-id>/<database-name>/tapdb-config.yaml \
  db-config init \
  --client-id <client-id> \
  --database-name <database-name> \
  --owner-repo-name <repo-name> \
  --env dev \
  --domain-code dev=<domain-code> \
  --domain-registry-path /abs/path/to/domain_code_registry.json \
  --prefix-ownership-registry-path /abs/path/to/prefix_ownership_registry.json \
  --db-port dev=5533 \
  --ui-port dev=8911

tapdb --config ~/.config/tapdb/<client-id>/<database-name>/tapdb-config.yaml \
  --env dev \
  bootstrap local --no-gui

tapdb --config ~/.config/tapdb/<client-id>/<database-name>/tapdb-config.yaml \
  --env dev \
  --json info

--json is a root-global flag in the CLI v2 contract, so it belongs before the subcommand name.

For a repo-local smoke path, this repo ships example registry fixtures under daylily_tapdb/etc/. Those files are suitable for single-repo local runs and for the README example scripts.

If optional workflow packs are present in the config, add --include-workflow to the bootstrap command. If you want the generated scripts rather than inline commands, use the companion examples under examples/readme/:

• examples/readme/00_smoke.sh
• examples/readme/10_bootstrap_local.sh
• examples/readme/20_python_api.py

Mental Model

TAPDB’s core model is deliberately small:

• template: a blueprint, stored as a generic_template row and usually seeded from JSON packs
• instance: a concrete object, stored as a generic_instance row and created from a template
• lineage: a directed relationship, stored as generic_instance_lineage
• audit: immutable change history in audit_log
• outbox: durable dispatch state for cross-service delivery
• inbox: durable receipt state for inbound messages

The library surface is built around those concepts:

• TemplateManager resolves template codes to seeded templates
• InstanceFactory materializes instances from templates
• lineage helpers traverse parent/child relationships
• outbox helpers enqueue, claim, deliver, and record message attempts

The important mental shift is that template packs describe shape, not business truth. Application repos own domain semantics and TAPDB stores the substrate that those semantics sit on.

Identity And Scope

TAPDB uses multiple identity layers on purpose:

• uid is the internal BIGINT primary key
• euid is the external Meridian identifier used on labels, links, APIs, and human-facing references
• domain_code scopes a row or identifier to a Meridian domain
• issuer_app_code stores the persisted repo-owner token and is not part of the EUID string
• tenant_id is the database tenancy scope and is separate from Meridian domain scoping

Do not infer business meaning from an EUID prefix. EUIDs are opaque by design. The string helps validation and transport; the real meaning lives in database lookup and application context.

Boundaries

TAPDB owns:

• template seeding and validation
• polymorphic persistence
• lineage and graph traversal
• audit and soft-delete behavior
• outbox/inbox delivery state
• CLI-managed runtime and database lifecycle

Application repos own:

• domain semantics
• domain template packs
• workflow rules and business policy
• UI and API affordances on top of TAPDB
• integration-specific behavior

That boundary is the point of the project. TAPDB is the substrate, not the business system.

Docs

• docs/README.md
• docs/architecture.md
• docs/identity-and-scoping.md
• docs/runtime-and-cli.md
• docs/tapdb_gui_inclusion.md