martenweave-core
Martenweave Core is maintained by Dzmitryi Kharlanau.
An open-source, backend-first model governance and evidence layer for SAP migration, MDM, data governance, and AMS.
Martenweave turns spreadsheets, datasets, tickets, validation reports, decisions, and SAP context into canonical model files, deterministic validation, dataset gap reports, lineage, impact analysis, and human-approved AI patch proposals. The model registry is the source-of-truth layer inside this pipeline, not the whole product category.
SAP migration and Master Data Management are the first domain pack and proof case, not the product boundary. The open-source core also works with generic data models: domains, entities, attributes, relationships, datasets, mappings, rules, evidence, decisions, and change proposals.
Martenweave Core is the CLI-driven, backend-first library that owns the canonical model layer. It is designed to be embedded in pipelines, IDEs, local API processes, MCP servers, and agent workflows.
Martenweave Workbench is the official local browser UI for assessment, investigation, review,
reports, and controlled changes. It reads from the local API and never stores canonical model truth
independently of the model/ files. It is not a hosted production app and does not replace the
CLI-first core workflow.
For Workbench setup and development notes, see frontend/README.md.
Status
- Current source version:
0.6.2 - Package / PyPI name:
martenweave-core - Latest published release:
0.6.2. - Source install remains available for contributors and local development.
- Public site and docs: https://martenweave.github.io/
Naming
- Product: Martenweave
- Open-source core / PyPI package:
martenweave-core - Python module:
modelops_core - CLI commands:
modelopsandmartenweave
martenweave-core is the backend-first open-source core package for the Martenweave product. Use
martenweave for new terminal examples and documentation. The existing modelops command remains
supported for backward compatibility with scripts, CI jobs, and early adopters.
Core Principles
- Canonical files are the source of truth. Markdown + YAML frontmatter objects live in
model/. - Generated index is disposable. SQLite and JSONL outputs are rebuildable from canonical files.
build-indexperforms a full rebuild (drops and recreates tables) to keep the index deterministic. A warning is emitted when the model grows above a configurable threshold; very large repos may need a higher limit or split into multiple repositories. - Deterministic validation first. Every object is validated for IDs, types, references, and domain context rules before indexing.
- AI must not silently mutate. AI creates
PatchProposalobjects for human review. Approved changes becomeChangeRequests. - Local-first. No cloud dependencies, no SaaS lock-in.
What Martenweave is / is not
| Is | Is not |
|---|---|
| A backend-first model governance pipeline | A generic workflow platform |
| A canonical file registry with disposable generated indexes | A hosted MDM platform |
| A validator-gated, proposal-first model change workflow | A workflow engine or n8n/Zapier/Dify competitor |
| A local-first CLI and embeddable open-source core | Generic B2B SaaS or a chatbot |
| A local browser workbench for assessment, review, and reports | A hosted multi-tenant UI |
| AI-assisted, with human approval required for changes | Autonomous mutation or direct SAP write-back |
Why pipeline, not SaaS
Martenweave is built for controlled model change workflows:
evidence → proposal → validation → gaps/impact → review → GitHub issue/PR
It coordinates existing CLI services around canonical files and Git. It does not add a hosted editable UI, tenant platform, generic workflow engine, or direct SAP write-back path.
Agents propose. Validators verify. Humans approve. Git records.
Pipeline workflow
- Import or profile source evidence.
- Validate canonical model files.
- Build the generated SQLite and search index.
- Detect dataset/model gaps.
- Run lineage and impact analysis.
- Generate AI patch proposals.
- Publish a GitHub issue or pull request only for human review.
One-command dataset readiness workflow:
martenweave run dataset-readiness --repo ./model --dataset customers.xlsx --out ./reports/readiness
Quickstart
Martenweave Core requires Python 3.11+.
Install from PyPI
The latest published release is 0.6.2. Install it with:
python -m pip install martenweave-core
martenweave --help
Install from Source
Use a source install when contributing to the core repository or testing local changes:
git clone https://github.com/metalhatscats/martenweave-core.git
cd martenweave-core
python -m venv .venv
.venv/bin/python -m pip install -e ".[dev]"
.venv/bin/martenweave --help
Setup
Choose one style and use it throughout:
Option A — use the venv executable directly (recommended for copy-paste):
python -m venv .venv
.venv/bin/python -m pip install -e .
# Then use .venv/bin/martenweave for every command
Option B — activate the venv once:
python -m venv .venv
source .venv/bin/activate
pip install -e .
# Then use bare martenweave for every command
The examples below use Option A. Replace .venv/bin/martenweave with martenweave if you chose
Option B. .venv/bin/modelops and modelops still work as compatibility aliases.
# Install
.venv/bin/python -m pip install -e .
# Scaffold a new repository
.venv/bin/martenweave init ./my-model
# Validate canonical files
.venv/bin/martenweave validate --repo ./my-model
# Build SQLite index + JSONL exports
.venv/bin/martenweave build-index --repo ./my-model --jsonl
# Check index freshness
.venv/bin/martenweave index-fresh --repo ./my-model
# Health report and scorecard
.venv/bin/martenweave health --repo ./my-model
.venv/bin/martenweave scorecard --repo ./my-model
# Impact and trace analysis
.venv/bin/martenweave impact FEP-S4-KNVV-KDGRP --repo ./my-model
.venv/bin/martenweave trace ATTR-CUST-SALES-CUSTOMER-GROUP --repo ./my-model
# Search and query
.venv/bin/martenweave search "Customer Group" --repo ./my-model
.venv/bin/martenweave query --type Attribute --repo ./my-model
# Generate local static Markdown docs and read-only HTML viewer
.venv/bin/martenweave docs-build --repo ./my-model --site /tmp/martenweave-viewer
# Diff against another repository
.venv/bin/martenweave diff ./my-model ./other-model
# Propose a patch from a note
.venv/bin/martenweave propose-patch --from ./note.md --repo ./my-model
# Clean generated artifacts (dry-run first)
.venv/bin/martenweave clean --repo ./my-model --dry-run
# One-command dataset readiness report
.venv/bin/martenweave run dataset-readiness \
--repo ./my-model \
--dataset ./my-model/data/samples/customers.csv \
--out ./reports/readiness
# Promote dataset gaps to a reviewable PatchProposal
.venv/bin/martenweave run dataset-readiness \
--repo ./my-model \
--dataset ./my-model/data/samples/customers.csv \
--out ./reports/readiness \
--promote-to-proposal
# Generate a GitHub-ready issue draft from the readiness report
.venv/bin/martenweave run dataset-readiness \
--repo ./my-model \
--dataset ./my-model/data/samples/customers.csv \
--out ./reports/readiness \
--issue-draft
First 15 Minutes
For a step-by-step walkthrough using the included examples, see docs/first-15-minutes.md.
For a release-grade demo path that exercises validation, indexing, search, trace, impact, gaps, scorecards, and proposal dry-runs, see docs/demo-quickstart-flow.md.
Command Reference
| Command | Purpose |
|---|---|
init |
Scaffold a new model repository |
profile-dataset |
Profile a CSV/XLSX dataset and save the profile |
gaps |
Detect dataset-to-model gaps against FieldEndpoints |
import-drive |
Import a CSV/XLSX file from Google Drive and profile it |
import-sheet |
Import a Google Sheet as a PatchProposal |
sources |
List registered external sources |
source-show |
Show one registered source |
infer-model |
Infer draft model objects from a dataset profile |
validate |
Run deterministic validation on canonical files |
build-index |
Build SQLite index and optional JSONL exports |
clean |
Remove generated artifacts from a repository |
index-fresh |
Check whether the generated index is stale |
health |
Show repository health report |
doctor |
Run diagnostics for version, config, paths, index freshness, and validation |
scorecard |
Show governance readiness scorecard |
owners |
Ownership coverage and steward workload |
analyze |
Analyze model completeness, risk, and readiness |
gap-report |
Consolidated gap summary across all sources |
run dataset-readiness |
One-command dataset readiness: validate, index, profile, gaps, report |
trace |
Trace upstream/downstream relationships for an object |
impact |
Generate impact report for an object or proposal |
propose-patch |
Create a PatchProposal from a note |
serve |
Start the optional local API server |
workbench |
Launch the local Workbench (API + packaged UI) |
mcp |
Start the optional MCP server for agent integration |
domain-pack |
Build, validate, and diff built-in reference domain packs |
schema |
Inspect external machine-readable schema evidence |
import-model-sheet |
Import spreadsheet edits as a PatchProposal |
import-excel-review |
Turn a reviewed XLSX workbook into a portable PatchProposal artifact |
import-workbook-suggestion-review |
Normalize reviewed workbook-suggestion decisions into feedback artifacts |
export-model |
Export canonical objects to CSV or XLSX |
export-schema |
Export JSON Schema for canonical object types |
export-sheets |
Export canonical model objects to Google Sheets |
git-bundle |
Generate a GitHub-ready change bundle |
publish-issue |
Publish an issue draft to GitHub |
publish-pr |
Publish a git bundle as a GitHub pull request |
audit-log |
Query the append-only audit log |
usage-report |
Show aggregated usage report from telemetry |
docs-build |
Generate static Markdown docs and a local read-only HTML viewer from the index |
config-guard |
Scan for secrets and configuration guardrail issues |
diff |
Compare two model repositories |
search |
Search indexed objects by keyword |
query |
Run structured queries over the index |
migrate |
Migrate canonical objects to the current schema version |
issue-draft |
Generate GitHub-ready issue drafts |
change-request |
Create and manage ChangeRequests |
notifications |
Preview notification recipients |
decisions |
Browse and inspect Decision objects |
proposal |
Review and apply PatchProposals |
assessment |
Run migration model readiness assessment workflows |
executive-summary |
Generate a one-page executive readiness summary |
pilot-preflight |
Metadata-only safety checks for pilot inputs |
assessment-review |
Record dispositions and promote confirmed findings |
bootstrap-assessment |
Initialize a proposal-only pilot from an SAP mapping workbook |
evidence ingest |
Turn local notes or validation reports into a reviewable proposal |
docs-build produces disposable generated files such as index.html, objects.html,
gaps.html, decisions.html, owners.html, object detail pages, search-index.json, and
viewer-manifest.json. The viewer is static and read-only: canonical files remain authoritative,
and there is no hosted UI, login, editing workflow, SAP write-back, or AI auto-mutation path.
serve starts the bound local API for the Workbench and agent integrations. mcp starts the local
MCP server. Both are local integration surfaces; they do not provide a hosted product UI or browser
application on their own.
Martenweave Workbench
The Workbench is the official local UI surface. It is packaged as a static React + Vite build and
served from the installed Python package. It connects to the local API started by martenweave serve.
martenweave serve --repo ./my-model
# Open the workbench URL shown in the terminal
See frontend/README.md for development build instructions.
Local API contract
modelops serve exposes an unversioned set of read/mutation endpoints and a stable /api/v1
namespace. The workbench (and any other local client) should discover capabilities via
GET /api/v1/capabilities before rendering actions. Core v1 resources include:
GET /api/v1/capabilities— version, workspace health, read/mutation capability list, and safe recovery actions for the current workspace state.GET /api/v1/search?q=...— paginated keyword search over the generated index.GET /api/v1/objects/{id}— canonical object detail plus relationships.GET /api/v1/activity— append-only local audit history, with generated events explicitly distinguished from canonical model changes.GET /api/v1/reports— safe metadata for disposable generated artifacts; the companionGET /api/v1/reports/{artifact_id}download route is contained togenerated/and never lists canonical files or absolute paths.GET /api/v1/findings— typed findings from the latest local assessment package, with human review state kept separate from deterministic provenance and canonical model truth.GET /api/v1/assessment-comparisons— deterministic lifecycle comparison for two typed assessment manifests inside the local workspace; stable finding IDs preserve prior/current provenance without inferring resolution.
The v1 contract is additive: existing endpoints remain available, and mutations still require explicit human approval through the proposal/change-request flow.
Errors preserve FastAPI's detail field for compatibility and also return an error object with a
stable code, message, and, where applicable, a non-mutating recovery action. For example, a
missing disposable index reports INDEX_MISSING and the exact martenweave build-index --repo .
command; API clients must never infer a canonical-file write from recovery guidance.
The Workbench activity overlay reads /api/v1/activity when connected. It links affected canonical
object IDs or proposal history where available; index, validation, and report events remain local
generated history rather than canonical model changes. When the local API is unavailable, the UI
labels its sample activity as demo data.
Use --help on any command for full options:
.venv/bin/martenweave <command> --help
Martenweave Workbench
The Workbench is the official local UI surface. It is packaged as a static React + Vite build and served from the installed Python package. One command starts the bound local API and the UI:
martenweave workbench --repo ./my-model
Add --no-open to prevent opening a browser tab, and --host/--port to change the bind address.
martenweave workbench --repo ./my-model --port 8080 --no-open
See frontend/README.md for development build instructions.
Assessment Example
.venv/bin/martenweave assessment run --repo examples/customer_bp_model --out generated/assessment/customer-bp
.venv/bin/martenweave assessment compare generated/assessment/run-a/manifest.json generated/assessment/run-b/manifest.json --out generated/assessment/comparison
Workbook-first Pilot Bootstrap
Start a new local pilot from an existing SAP mapping workbook without treating inferred content as
canonical truth. The command creates a valid repository, profiles the workbook, and writes a
deterministic PatchProposal plus a bootstrap report, workbook structural manifest, and governed
workbook suggestion artifacts, including a protected suggestion review workbook. Review and approve
the proposal before any model object is created.
.venv/bin/martenweave bootstrap-assessment \
--mapping ./sap-customer-mapping.xlsx \
--name "SAP Customer Pilot" \
--out-repo ./sap-customer-pilot
Evidence Ingestion
Turn a local Markdown note or CSV/XLSX validation report into a deterministic, reviewable
PatchProposal. The evidence file remains an input: no canonical file is changed by ingestion.
.venv/bin/martenweave evidence ingest \
--repo examples/customer_bp_model \
--from ./validation-report.csv \
--out /tmp/evidence-proposal.md
.venv/bin/martenweave proposal validate \
--repo examples/customer_bp_model \
--proposal /tmp/evidence-proposal.md
Evidence-Backed Agent Loop
Use a preflighted mapping workbook as structural evidence for a narrowly scoped proposal. The loop passes sheet names, detected columns, exclusions, warnings, assumptions, and governed workbook suggestions derived from the structural manifest to the proposer; it does not send workbook values as canonical truth, apply changes, or approve the proposal.
.venv/bin/martenweave agent-loop \
--repo examples/customer_bp_model \
--mapping ./sap-customer-mapping.xlsx \
--goal "Clarify the Customer Group mapping; keep the change reviewable." \
--dry-run
Review the resulting PatchProposal in the Workbench or with martenweave proposal review before
creating or approving a ChangeRequest.
Schema Inspection
Inspect a local JSON Schema, sample JSON/XML/IDoc payload, CDS metadata export, CSV/XLSX field
catalogue, SAP mapping, WE60 HTML documentation, Integration Suite .iflw/artifact ZIP exports,
or Migration Cockpit workbook template, OpenAPI, OData EDMX, WSDL, or XML Schema file into a
normalized evidence model. The command reads the file only; it does not create canonical objects
or proposals in this slice. The corresponding schema import path can now emit interface/message
objects including Interface, InterfaceEndpoint, MessageType, and SchemaNode, with
operation-level request/response message links where the source contract exposes them. When writing
a proposal artifact, schema import also records provenance metadata in the source registry,
including schema version, namespace, parser version, checksum, and optional source/licensing notes.
.venv/bin/martenweave schema inspect ./product.schema.json --json
.venv/bin/martenweave schema inspect ./customer-payload.json
.venv/bin/martenweave schema inspect ./customer-payload.xml
.venv/bin/martenweave schema inspect ./customer-idoc.xml
.venv/bin/martenweave schema inspect ./cds-metadata.json
.venv/bin/martenweave schema inspect ./DEBMAS07.html
.venv/bin/martenweave schema inspect ./main.iflw
.venv/bin/martenweave schema inspect ./bp-sync-package.zip
.venv/bin/martenweave schema inspect ./customer-field-catalog.csv
.venv/bin/martenweave schema inspect ./customer-field-catalog.xlsx
.venv/bin/martenweave schema inspect ./sap-customer-mapping.xlsx
.venv/bin/martenweave schema inspect ./migration-cockpit-template.xlsx
.venv/bin/martenweave schema inspect ./product-api.yaml
.venv/bin/martenweave schema inspect ./api_business_partner.edmx
.venv/bin/martenweave schema inspect ./customer-service.wsdl
.venv/bin/martenweave schema inspect ./customer.xsd
.venv/bin/martenweave schema import ./product.schema.json --json
.venv/bin/martenweave schema import ./customer-payload.json --repo ./my-model --as-proposal
.venv/bin/martenweave schema import ./customer-payload.xml --repo ./my-model --as-proposal
.venv/bin/martenweave schema import ./customer-idoc.xml --repo ./my-model --as-proposal
.venv/bin/martenweave schema import ./cds-metadata.json --repo ./my-model --as-proposal
.venv/bin/martenweave schema import ./DEBMAS07.html --repo ./my-model --as-proposal
.venv/bin/martenweave schema import ./main.iflw --repo ./my-model --as-proposal
.venv/bin/martenweave schema import ./bp-sync-package.zip --repo ./my-model --as-proposal
.venv/bin/martenweave schema import ./customer-field-catalog.csv --repo ./my-model --as-proposal
.venv/bin/martenweave schema import ./customer-field-catalog.xlsx --repo ./my-model --as-proposal
.venv/bin/martenweave schema import ./sap-customer-mapping.xlsx --repo ./my-model --as-proposal
.venv/bin/martenweave schema import ./migration-cockpit-template.xlsx --repo ./my-model --as-proposal
.venv/bin/martenweave schema import ./product-api.yaml --repo ./my-model --as-proposal
.venv/bin/martenweave schema import ./api_business_partner.edmx --repo ./my-model --as-proposal
.venv/bin/martenweave schema import ./customer-service.wsdl --repo ./my-model --as-proposal
.venv/bin/martenweave schema import ./customer.xsd --repo ./my-model --as-proposal
.venv/bin/martenweave schema import ./product-api.yaml --repo ./my-model --as-proposal \
--source-url https://api.example.com/docs/product-api \
--license-note "Internal partner reference only." \
--usage-note "Imported from an approved local export."
Domain Pack Commands
.venv/bin/martenweave domain-pack build sap-business-partner --out /tmp/sap-bp-pack
.venv/bin/martenweave domain-pack validate sap-business-partner --json
.venv/bin/martenweave domain-pack diff sap-business-partner /tmp/sap-bp-pack --json
Example Models
Both example directories contain a working modelops.config.yaml and can be run without init.
Customer / Business Partner Model
The examples/customer_bp_model/ directory contains the first domain pack: a full canonical model slice for SAP Business Partner → Customer:
Business Partner -> Customer -> Customer Sales Area -> Customer Group -> KNVV-KDGRP
Supplier / Vendor Model
The examples/supplier_vendor_model/ directory contains a second domain pack for SAP Supplier / Vendor master data:
Supplier -> Vendor Central -> LFA1/KTOKK, LFB1/ZTERM, LFM1/SPERR
Northstar Mobility Group — Synthetic Pilot (multi-domain)
The examples/northstar_mobility_pilot/ directory contains a fully fictional, reproducible
multi-domain SAP S/4HANA transformation pilot: seven connected domains (Business Partner &
Customer, Supplier, Material, Sales, Procurement, Logistics, Finance), 187 canonical objects,
deterministic synthetic CSV/XLSX extracts with intentional data problems, fictional
example.com participants, and a pending high-risk PatchProposal. The canonical model stays
valid; the problems surface through gap, readiness, and proposal workflows.
bash scripts/demo_northstar_pilot.sh # self-verifying 11-step pilot run
See examples/northstar_mobility_pilot/README.md for the full walkthrough.
Run validation against any of them:
.venv/bin/martenweave validate --repo examples/customer_bp_model
.venv/bin/martenweave validate --repo examples/supplier_vendor_model
Architecture
modelops.config.yaml # Repository configuration
model/ # Canonical Markdown + YAML objects
DOMAIN-*.md
ENTITY-*.md
ATTR-*.md
FEP-*.md
MAP-*.md
...
generated/ # Disposable artifacts
modelops.db # SQLite index
search_documents.jsonl # Search export
lineage_edges.jsonl # Lineage export
audit_events.jsonl # Audit log
usage_events.jsonl # Application usage telemetry
ai_usage_events.jsonl # AI provider usage telemetry
data/samples/ # Sample datasets for profiling
Domain Rules (SAP example)
The first domain pack includes SAP-specific context rules:
Attributeis business meaning.FieldEndpointis physical representation.AttributeUsagelinks anAttributeto a specific business context.Mappinglinks source and targetFieldEndpoints.KNVVfields must be incustomer_sales_areacontext.KNB1fields must be incustomer_company_codecontext.KNVPfields must be incustomer_partner_functioncontext.BUT000fields must be inbp_centralcontext.
Future domain packs can add their own validation rules without changing core concepts.
Documentation
See docs/README.md for the full documentation index, including architecture docs, developer guides, product playbooks, and the Data Model Book.
Development
# Run tests
.venv/bin/python -m pytest
# Lint
.venv/bin/python -m ruff check .
# Release smoke across bundled examples
bash scripts/release_smoke.sh
Release and public-readiness docs:
- docs/release-checklist.md
- docs/release-notes-first-public-rc.md
- docs/release-validation-evidence.md
- docs/open-source-readiness.md
- docs/known-limitations.md
- docs/local-static-viewer.md
Licensing and commercial use
Martenweave Core is open-source software licensed under Apache License 2.0. It may be used, modified, embedded, and distributed, including for internal and commercial purposes, subject to the license terms.
Organizations may also engage the Martenweave team for implementation, SAP/MDM domain modelling, validation packs, integrations, assessments, support, training, and design-partner engagements. These optional services do not limit the rights granted for the Core.
License
Apache License 2.0. See docs/licensing-and-commercial-use.md for the current licensing and commercial-services model.
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