Templated Abstract Polymorphic LIMS - A Laboratory Information Management System
Project description
Bloom
Bloom is the wet-lab and material-state authority for the stack. It models containers, specimens, derived materials, assay/workset flow, sequencing context, and the physical lineage that links operational lab work back to Atlas order context.
Bloom owns:
- containers, placements, specimens, and derived materials
- extraction, QC, library-prep, pool, and run objects
- wet-lab queue membership and related operational state
- lineage links between physical-material state and Atlas fulfillment context
Bloom does not own:
- customer-portal truth and tenant administration
- patient, clinician, shipment, TRF, or test authority
- canonical artifact registry authority
- analysis execution or result-return workflows
If you need to understand what physically exists in the lab, how it changed, and how those changes are linked together, Bloom is the authoritative repo.
Component View
flowchart LR
UI["Bloom UI + API"] --> Domain["Bloom domain services"]
Domain --> TapDB["TapDB persistence and template packs"]
Domain --> Cognito["Cognito / daycog"]
Domain --> Zebra["zebra_day label printing"]
Domain --> Atlas["Atlas integration"]
Domain --> Tracking["carrier tracking integration"]
Prerequisites
- Python 3.12+
- Conda for the supported
BLOOMenvironment - local PostgreSQL/TapDB-compatible runtime for full local work
- optional Cognito setup for auth-complete browser flows
- optional printer and carrier-tracking configuration for the integration-heavy paths
Getting Started
Quickstart
source ./activate <deploy-name>
bloom db init
bloom db seed
bloom server start --port 8912
The supported local workflow is CLI-first and uses Bloom’s own environment/bootstrap path.
Delete-only teardown is also available:
bloom db nuke
bloom db nuke --force
Architecture
Technology
- FastAPI + server-rendered GUI
- Typer-based
bloomCLI - TapDB for shared persistence/runtime lifecycle
- Cognito-backed authentication
- optional integrations for label printing and carrier tracking
Core Object Model
Bloom’s main concepts are:
- templates that describe lab object types and allowed structure
- instances representing containers, materials, assay artifacts, queues, and run context
- lineage links that model parent/child and workflow relationships
- audit trails and soft-delete history
Bloom template definitions are authored as JSON packs under config/tapdb_templates/ and loaded through TapDB. Runtime code should not create generic_template rows directly.
Runtime Shape
- app entrypoint:
main.py - app factory:
bloom_lims.app:create_app - CLI:
bloom - main CLI groups:
server,db,config,info,integrations,quality,test,users
Integration Boundaries
- Atlas provides intake and fulfillment context
- Dewey may register or resolve artifacts when enabled
- Ursa consumes sequencing context downstream
- Zebra Day supports label-print workflows
Visual Tour
Bloom is unusually UI-heavy for a service repo, so the README keeps a few representative screens.
Graph And Metrics
Accessioning
Object Detail
Cost Estimates
Approximate only.
- Local development: workstation plus a local database.
- Small shared environment: usually the cost of the Dayhoff-managed host/database footprint, not Bloom-specific code.
- Integration-heavy environments increase operator cost when printers, tracking, TLS, and shared auth are enabled, but Bloom still tends to be a service inside a broader stack budget rather than a standalone large spend item.
Development Notes
- Canonical local entry path:
source ./activate <deploy-name> - Use
bloom ...as the main operational interface - Use
tapdb ...only for shared DB/runtime work Bloom explicitly delegates - Use
daycog ...only for shared Cognito work Bloom explicitly delegates bloom db resetrebuilds after deletion;bloom db nukestops after the destructive schema reset
Useful checks:
source ./activate <deploy-name>
bloom --help
pytest -q
Sandboxing
- Safe: docs work, code reading, tests,
bloom --help, and local-only validation against disposable local runtimes - Local-stateful:
bloom db init,bloom db seed,bloom db reset, andbloom db nuke - Requires extra care: Cognito lifecycle, external tracking integrations, printer integrations, and any Dayhoff-managed deployed environment flows
Current Docs
References
Project details
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