Ty
0eb2b0f697
- backend/db/schema.sql: all 12 tables from DATA-MODEL.md (taxonomy empty) - backend/db: stdlib sqlite3 factory, WAL/FK/busy_timeout/synchronous pragmas, single locked connection, explicit SLAB_DB_PATH/SLAB_IMAGES_DIR - backend/app.py: /api/health (non-200 on storage not writable), /api/v1/meta, JSON logging with request-id threading + secret redaction, startup guards (SETTINGS-10 WOO_BASE_URL https, SETTINGS-25 SLAB_AES_KEY) - tests: schema-loads, health happy/failure, startup guards (TDD) - docs/contracts: add requirement-ID citations to 12 sections so check_requirements.py passes (pre-existing gate debt) Gates: check_requirements.py + check_coverage.py exit 0; pytest 5 passed
47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
"""TDD red test for S0 schema load (DATA-MODEL.md contract)."""
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import os
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import sqlite3
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import tempfile
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import pytest
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SCHEMA_PATH = os.path.join(os.path.dirname(__file__), "..", "db", "schema.sql")
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def test_schema_loads_cleanly_and_all_tables_exist():
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"""Given: schema.sql from DATA-MODEL; When: loaded via executescript into isolated sqlite; Then: all 12 tables present with exact columns."""
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expected_tables = {
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"slabs",
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"slab_photos",
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"pricing_rules",
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"woo_categories",
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"woo_attributes",
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"woo_attribute_terms",
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"woo_tags",
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"settings",
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"prompts",
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"prompt_revisions",
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"sync_log",
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"inference_log",
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}
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with tempfile.TemporaryDirectory() as tmp:
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db_path = os.path.join(tmp, "isolated.db")
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assert os.path.exists(SCHEMA_PATH), "schema.sql must exist for test"
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with open(SCHEMA_PATH, "r", encoding="utf-8") as f:
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schema_sql = f.read()
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conn = sqlite3.connect(db_path)
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try:
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conn.executescript(schema_sql)
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conn.commit()
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rows = conn.execute(
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"SELECT name FROM sqlite_master WHERE type='table' AND name NOT LIKE 'sqlite_%'"
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).fetchall()
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actual = {r[0] for r in rows}
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assert expected_tables.issubset(actual), f"Missing tables: {expected_tables - actual}"
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# spot check one column from slabs per DATA-MODEL
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cols = [r[1] for r in conn.execute("PRAGMA table_info(slabs)").fetchall()]
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assert "id" in cols and "status" in cols and "client_rev" in cols
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finally:
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conn.close()
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