Files
settled-reach/tooling/economy-db/economy_import/validators.py
T
jpmschweitzerandClaude Fable 5 4f73624eff refactor(db): split import_economics.py; single generator-source registry (T-1067)
import_economics.py 2,620 → 309 lines — a thin orchestrator keeping the
exact CLI, single-transaction/rollback contract, and exit codes. The 16
import steps, MIGRATION_SQL, brands shell-out, validators, and stamp
write now live in tooling/economy-db/economy_import/ (db, migration,
economy, corporations, brands, bodies, atlas, specialization, traits,
validators, stamp, paths, errors). Full type hints throughout.

tooling/generator_sources.py replaces the triplicated source registry
(importer / stamp checker / pr-process watch list — the skill now derives
its list via --list). The registry stamps itself, and economy_import/
modules are globbed fail-closed, so a future module is stamped the moment
it exists — closing the silently-weakened-stamp failure mode.

Rider: connector config helpers centralized in tooling/db/common.py.

Byte-identical behavior proven: full-import table dump diff EMPTY over
107,843 lines / 37 tables (volatile timestamp fields excluded); dry-run
output parity; generated_brands.toml sha unchanged. make test-tooling
PASS; ruff clean.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-12 20:13:28 +02:00

138 lines
5.0 KiB
Python

"""Structural-integrity and D-175 coverage validation.
``validate`` is a pre-commit hard blocker; the coverage validators run after
commit (Phase 2 gate, exit 2) — see the entrypoint's main() for the contract.
"""
import sqlite3
def validate(conn: sqlite3.Connection) -> list[str]:
"""Validate structural integrity of imported data.
Checks FK integrity, chain commodity references, and chain completeness.
These are hard blockers — broken data must not be committed.
Coverage validation (commodity/system thresholds) is separate and runs
after commit via validate_commodity_coverage() and validate_system_coverage().
"""
errors: list[str] = []
# FK integrity
fk_issues = conn.execute("PRAGMA foreign_key_check").fetchall()
if fk_issues:
for issue in fk_issues[:10]:
errors.append(f"FK violation: table={issue[0]} rowid={issue[1]} "
f"parent={issue[2]} fkid={issue[3]}")
# Chain inputs reference valid commodities
orphan_inputs = conn.execute("""
SELECT ci.chain_id, ci.input_commodity_id
FROM chain_inputs ci
LEFT JOIN commodities c ON ci.input_commodity_id = c.commodity_id
WHERE c.commodity_id IS NULL
""").fetchall()
for chain_id, cid in orphan_inputs:
errors.append(f"chain_inputs: chain '{chain_id}' references unknown commodity '{cid}'")
# Chain outputs reference valid commodities
orphan_outputs = conn.execute("""
SELECT pc.chain_id, pc.output_commodity_id
FROM production_chains pc
LEFT JOIN commodities c ON pc.output_commodity_id = c.commodity_id
WHERE c.commodity_id IS NULL
""").fetchall()
for chain_id, cid in orphan_outputs:
errors.append(f"production_chains: chain '{chain_id}' outputs unknown commodity '{cid}'")
# economic_role must be one of the D-194 canonical 10 values
valid_roles = {
'manufacturing', 'financial', 'agricultural', 'extraction',
'service_mixed', 'institutional', 'transit_hub', 'research',
'military', 'residential',
}
bad_roles = conn.execute("""
SELECT DISTINCT economic_role, COUNT(*) as cnt
FROM bodies
WHERE economic_role IS NOT NULL
AND economic_role NOT IN (
'manufacturing', 'financial', 'agricultural', 'extraction',
'service_mixed', 'institutional', 'transit_hub', 'research',
'military', 'residential'
)
GROUP BY economic_role
""").fetchall()
for role, cnt in bad_roles:
errors.append(
f"bodies.economic_role: non-canonical value '{role}' on {cnt} row(s) — "
f"valid values: {sorted(valid_roles)}"
)
# Chain completeness: every intermediate commodity must have at least one producer
missing_chains = conn.execute("""
SELECT c.commodity_id, c.name
FROM commodities c
WHERE c.tier = 'intermediate'
AND c.commodity_id NOT IN (SELECT output_commodity_id FROM production_chains)
ORDER BY c.commodity_id
""").fetchall()
for cid, name in missing_chains:
errors.append(f"chain completeness: no production chain produces intermediate '{cid}' ({name})")
return errors
def validate_commodity_coverage(
conn: sqlite3.Connection, wiki_corps: list[dict], commodity_ids: set[str]
) -> list[str]:
"""3+ corporations per major commodity type (raw + intermediate). D-175."""
errors: list[str] = []
major = [
r[0]
for r in conn.execute(
"SELECT commodity_id FROM commodities "
"WHERE tier IN ('raw', 'intermediate') ORDER BY commodity_id"
).fetchall()
]
# Build commodity → corp set from wiki tags filtered to known commodity IDs
coverage: dict[str, set[str]] = {cid: set() for cid in major}
for corp in wiki_corps:
for tag in corp.get("tags", []):
if tag in coverage:
coverage[tag].add(corp["corp_id"])
for cid in major:
n = len(coverage[cid])
if n < 3:
corp_list = sorted(coverage[cid]) if coverage[cid] else ["none"]
errors.append(
f"commodity coverage: '{cid}' has {n}/3 corp(s) — {corp_list}"
)
return errors
def validate_system_coverage(
conn: sqlite3.Connection, wiki_corps: list[dict]
) -> list[str]:
"""1+ corporation per inhabited system with population > 100K. D-175.
Uses wiki_corps headquarters data (not DB corp_presence) so this check
is accurate in both dry-run and real-run modes.
"""
covered = {c["system_id"] for c in wiki_corps if c.get("system_id")}
populated = conn.execute("""
SELECT se.system_id, ss.proper_name, se.population
FROM system_economy se
JOIN star_systems ss ON se.system_id = ss.system_id
WHERE se.population > 100000
ORDER BY se.system_id
""").fetchall()
return [
f"system coverage: no corp presence in '{sid}' ({name}, pop={pop:,})"
for sid, name, pop in populated
if sid not in covered
]