T006: schema validation tests + fixtures

schemas/tests/fixtures/listing_bad_status.json

@@ -0,0 +1,19 @@
+{
+  "schema_version": "m2.listing.v1",
+  "listing_id": "lst_mm-pdf-report",
+  "solution_id": "sol_mm-pdf-report",
+  "solution_version": "1.0.0",
+  "inventory_type": "solution",
+  "name": "MM PDF Branded Report",
+  "summary": "Generate Machine.Machine branded PDF reports and slide decks from Markdown",
+  "category": "reporting",
+  "price": {
+    "amount": 500,
+    "currency": "m2cr",
+    "model": "fixed"
+  },
+  "seller": "sdjs-operator",
+  "tenant_visibility": ["*"],
+  "status": "archived",
+  "install_ref": "lst_mm-pdf-report-v1.0.0"
+}

schemas/tests/fixtures/listing_missing_tenant_visibility.json

@@ -0,0 +1,18 @@
+{
+  "schema_version": "m2.listing.v1",
+  "listing_id": "lst_mm-pdf-report",
+  "solution_id": "sol_mm-pdf-report",
+  "solution_version": "1.0.0",
+  "inventory_type": "solution",
+  "name": "MM PDF Branded Report",
+  "summary": "Generate Machine.Machine branded PDF reports and slide decks from Markdown",
+  "category": "reporting",
+  "price": {
+    "amount": 500,
+    "currency": "m2cr",
+    "model": "fixed"
+  },
+  "seller": "sdjs-operator",
+  "status": "published",
+  "install_ref": "lst_mm-pdf-report-v1.0.0"
+}

schemas/tests/fixtures/solution_bad_price.json

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+{
+  "schema_version": "m2.solution.v1",
+  "solution_id": "sol_mm-pdf-report",
+  "name": "MM PDF Branded Report",
+  "summary": "Generate Machine.Machine branded PDF reports and slide decks from Markdown",
+  "intent": "Produce publish-ready branded PDF/slide deck output from Markdown content without manual design work",
+  "deployment": {
+    "recipe_ref": "recipes/mm-pdf-report/recipe.yaml",
+    "entrypoint": "skills/mm-pdf/render.py",
+    "verify_command": "python skills/mm-pdf/render.py --self-test"
+  },
+  "applicability": {
+    "image_classes": ["desktop-agent"],
+    "roles": ["operator", "analyst"],
+    "tool_requirements": ["weasyprint"]
+  },
+  "tenant_scope": "m2-core",
+  "evidence": [
+    {
+      "source": "session:2026-05-11-mm-pdf-branded-report"
+    }
+  ],
+  "content_hash": "sha256:aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
+  "price": {
+    "amount": 0,
+    "currency": "m2cr",
+    "model": "fixed"
+  },
+  "seller": "sdjs-operator",
+  "license": {
+    "terms": "Single-operator install license; covers all machines under the buying operator_id.",
+    "major_version_coverage": true
+  }
+}

schemas/tests/fixtures/solution_missing_evidence.json

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+{
+  "schema_version": "m2.solution.v1",
+  "solution_id": "sol_mm-pdf-report",
+  "name": "MM PDF Branded Report",
+  "summary": "Generate Machine.Machine branded PDF reports and slide decks from Markdown",
+  "intent": "Produce publish-ready branded PDF/slide deck output from Markdown content without manual design work",
+  "deployment": {
+    "recipe_ref": "recipes/mm-pdf-report/recipe.yaml",
+    "entrypoint": "skills/mm-pdf/render.py",
+    "verify_command": "python skills/mm-pdf/render.py --self-test"
+  },
+  "applicability": {
+    "image_classes": ["desktop-agent"],
+    "roles": ["operator", "analyst"],
+    "tool_requirements": ["weasyprint"]
+  },
+  "tenant_scope": "m2-core",
+  "evidence": [],
+  "content_hash": "sha256:aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
+  "price": {
+    "amount": 500,
+    "currency": "m2cr",
+    "model": "fixed"
+  },
+  "seller": "sdjs-operator",
+  "license": {
+    "terms": "Single-operator install license; covers all machines under the buying operator_id.",
+    "major_version_coverage": true
+  }
+}

schemas/tests/fixtures/solution_tenant_violation.json

@@ -0,0 +1,34 @@
+{
+  "schema_version": "m2.solution.v1",
+  "solution_id": "sol_mm-pdf-report",
+  "name": "MM PDF Branded Report",
+  "summary": "Generate Machine.Machine branded PDF reports and slide decks from Markdown",
+  "intent": "Produce publish-ready branded PDF/slide deck output from Markdown content without manual design work",
+  "deployment": {
+    "recipe_ref": "recipes/mm-pdf-report/recipe.yaml",
+    "entrypoint": "skills/mm-pdf/render.py",
+    "verify_command": "python skills/mm-pdf/render.py --self-test"
+  },
+  "applicability": {
+    "image_classes": ["desktop-agent"],
+    "roles": ["operator", "analyst"],
+    "tool_requirements": ["weasyprint"]
+  },
+  "tenant_scope": "sdjs",
+  "evidence": [
+    {
+      "source": "session:2026-05-11-mm-pdf-branded-report"
+    }
+  ],
+  "content_hash": "sha256:aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
+  "price": {
+    "amount": 500,
+    "currency": "m2cr",
+    "model": "fixed"
+  },
+  "seller": "sdjs-operator",
+  "license": {
+    "terms": "Single-operator install license; covers all machines under the buying operator_id.",
+    "major_version_coverage": true
+  }
+}

schemas/tests/fixtures/valid_listing.json

@@ -0,0 +1,27 @@
+{
+  "schema_version": "m2.listing.v1",
+  "listing_id": "lst_mm-pdf-report",
+  "solution_id": "sol_mm-pdf-report",
+  "solution_version": "1.0.0",
+  "inventory_type": "solution",
+  "name": "MM PDF Branded Report",
+  "summary": "Generate Machine.Machine branded PDF reports and slide decks from Markdown",
+  "category": "reporting",
+  "keywords": ["pdf", "report", "branded", "slides"],
+  "icon": "https://git.machinemachine.ai/m2/market-registry/assets/mm-pdf-report/icon.png",
+  "price": {
+    "amount": 500,
+    "currency": "m2cr",
+    "model": "fixed"
+  },
+  "seller": "sdjs-operator",
+  "evidence_summary": "Generated branded PDF report for SDJS quarterly summary; operator confirmed styling matched brand deck.",
+  "tenant_visibility": ["*"],
+  "stats": {
+    "installs": 0,
+    "proposals_shown": 0,
+    "proposals_accepted": 0
+  },
+  "status": "published",
+  "install_ref": "lst_mm-pdf-report-v1.0.0"
+}

schemas/tests/fixtures/valid_solution.json

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+{
+  "schema_version": "m2.solution.v1",
+  "solution_id": "sol_mm-pdf-report",
+  "name": "MM PDF Branded Report",
+  "summary": "Generate Machine.Machine branded PDF reports and slide decks from Markdown",
+  "description": "Renders styled dark-navy/cyan PDF reports and Marp slide decks from Markdown source, using WeasyPrint or Marp depending on target.",
+  "intent": "Produce publish-ready branded PDF/slide deck output from Markdown content without manual design work",
+  "behavior": {
+    "skill_ref": "skills/mm-pdf/SKILL.md"
+  },
+  "tools": [
+    {
+      "name": "weasyprint",
+      "type": "cli"
+    },
+    {
+      "name": "marp",
+      "type": "container",
+      "container": "nasr-m2o"
+    }
+  ],
+  "runtime": {
+    "surfaces": ["desktop", "hermes"]
+  },
+  "memory_schema": {
+    "partitions": ["mm-pdf:renders"]
+  },
+  "permissions": [
+    {
+      "scope": "filesystem:write",
+      "path": "/tmp/mm-pdf-output"
+    }
+  ],
+  "deployment": {
+    "recipe_ref": "recipes/mm-pdf-report/recipe.yaml",
+    "entrypoint": "skills/mm-pdf/render.py",
+    "verify_command": "python skills/mm-pdf/render.py --self-test"
+  },
+  "applicability": {
+    "image_classes": ["desktop-agent"],
+    "roles": ["operator", "analyst"],
+    "tool_requirements": ["weasyprint"]
+  },
+  "tenant_scope": "m2-core",
+  "evidence": [
+    {
+      "source": "session:2026-05-11-mm-pdf-branded-report",
+      "excerpt": "Generated branded PDF report for SDJS quarterly summary; operator confirmed styling matched brand deck.",
+      "machine": "nasr-m2o",
+      "session": "sess_8f21c",
+      "tokens": 4200,
+      "wall_time": 38.4
+    }
+  ],
+  "content_hash": "sha256:aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
+  "price": {
+    "amount": 500,
+    "currency": "m2cr",
+    "model": "fixed"
+  },
+  "seller": "sdjs-operator",
+  "license": {
+    "terms": "Single-operator install license; covers all machines under the buying operator_id.",
+    "major_version_coverage": true
+  },
+  "revenue_split": {
+    "platform_pct": 10
+  }
+}

schemas/tests/test_schemas.py

@@ -0,0 +1,102 @@
+"""Schema validation tests for schemas/solution.schema.json and schemas/listing.schema.json.
+
+Frozen v1 schemas (specs/001-market-first-wedge/data-model.md) — do not modify.
+"""
+import json
+from pathlib import Path
+
+import pytest
+from jsonschema import Draft202012Validator
+
+SCHEMAS_DIR = Path(__file__).resolve().parent.parent
+FIXTURES_DIR = Path(__file__).resolve().parent / "fixtures"
+
+
+def load(path):
+    with open(path) as f:
+        return json.load(f)
+
+
+SOLUTION_SCHEMA = load(SCHEMAS_DIR / "solution.schema.json")
+LISTING_SCHEMA = load(SCHEMAS_DIR / "listing.schema.json")
+
+solution_validator = Draft202012Validator(SOLUTION_SCHEMA)
+listing_validator = Draft202012Validator(LISTING_SCHEMA)
+
+
+def fixture(name):
+    return load(FIXTURES_DIR / name)
+
+
+def errors(validator, instance):
+    return list(validator.iter_errors(instance))
+
+
+# --- valid fixtures ---------------------------------------------------------
+
+def test_valid_solution_passes():
+    errs = errors(solution_validator, fixture("valid_solution.json"))
+    assert errs == [], [e.message for e in errs]
+
+
+def test_valid_listing_passes():
+    errs = errors(listing_validator, fixture("valid_listing.json"))
+    assert errs == [], [e.message for e in errs]
+
+
+# --- invalid solution fixtures ----------------------------------------------
+
+def test_solution_missing_evidence_fails_on_evidence_minitems():
+    errs = errors(solution_validator, fixture("solution_missing_evidence.json"))
+    assert errs, "expected validation errors"
+    assert any(
+        e.validator == "minItems" and list(e.path) == ["evidence"]
+        for e in errs
+    ), [(e.validator, list(e.path), e.message) for e in errs]
+
+
+def test_solution_tenant_violation_fails_on_else_branch():
+    errs = errors(solution_validator, fixture("solution_tenant_violation.json"))
+    assert errs, "expected validation errors"
+    # tenant_scope != "m2-core" routes through the top-level if/else; the
+    # else branch requires owner_initiated + scrub_status, both absent here.
+    # jsonschema surfaces these as top-level "required" errors (path == []).
+    missing_required_props = {
+        prop
+        for e in errs
+        if e.validator == "required" and list(e.path) == []
+        for prop in ("owner_initiated", "scrub_status")
+        if f"'{prop}'" in e.message
+    }
+    assert missing_required_props == {"owner_initiated", "scrub_status"}, [
+        (e.validator, list(e.path), e.message) for e in errs
+    ]
+
+
+def test_solution_bad_price_fails_on_price_amount_minimum():
+    errs = errors(solution_validator, fixture("solution_bad_price.json"))
+    assert errs, "expected validation errors"
+    assert any(
+        e.validator == "minimum" and list(e.path) == ["price", "amount"]
+        for e in errs
+    ), [(e.validator, list(e.path), e.message) for e in errs]
+
+
+# --- invalid listing fixtures ------------------------------------------------
+
+def test_listing_bad_status_fails_on_status_enum():
+    errs = errors(listing_validator, fixture("listing_bad_status.json"))
+    assert errs, "expected validation errors"
+    assert any(
+        e.validator == "enum" and list(e.path) == ["status"]
+        for e in errs
+    ), [(e.validator, list(e.path), e.message) for e in errs]
+
+
+def test_listing_missing_tenant_visibility_fails_on_required():
+    errs = errors(listing_validator, fixture("listing_missing_tenant_visibility.json"))
+    assert errs, "expected validation errors"
+    assert any(
+        e.validator == "required" and "tenant_visibility" in e.message and list(e.path) == []
+        for e in errs
+    ), [(e.validator, list(e.path), e.message) for e in errs]