Ports the leaf data-layer modules and validates them: - mschema/ (models, eligibility, merge, render), db/ (connection, sampling, introspect, fetch_ca), rest/client.py -- renamed psdwp3->nsp, verbatim. - L0 (testcontainers, real Postgres): db connection read-only enforcement (psd_ro cannot CREATE/INSERT), introspect against a known schema (tables, columns, types, comments, FKs, enum, composite PK), sampling most-frequent values + truncation reporting. 15 tests, ~4s. - L1 (fake data): rest/client RPC contract (mocked transport -- X-API-Key header, payloads, base_url slash handling, HTTP/network error surfacing), mschema/render 3 formats (markdown, mschema-text, schema-dict) + eligibility rules (wide_text excluded, short_text/numeric/enum/temporal/ boolean eligible, annotation override wins). 25 tests. pyproject registers l0/l2 markers + addopts '-m not l2' (L2 opt-in). Deferred to their dependency-porting tasks: test_rrf.py (search needs vectorstore, B3) and the 11 CLI contract tests (need _guards/session, wired when each command lands). 'Not assumed reliable' now has real teeth for the data layer; CLI/search contracts follow.
203 lines
7.5 KiB
Python
203 lines
7.5 KiB
Python
from datetime import UTC, datetime
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from sqlalchemy import Engine, text
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from nsp.mschema.models import (
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ColumnPhysical,
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ForeignKey,
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Index,
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PhysicalSchema,
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TablePhysical,
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)
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# Query adattate da thoth_sqldb2 (Apache 2.0) — vedi src/nsp/vendor/VENDORED.md.
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_TABLES_Q = text("""
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SELECT c.relname AS table_name,
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COALESCE(d.description, '') AS comment,
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GREATEST(c.reltuples::bigint, 0) AS row_count
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FROM pg_class c
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JOIN pg_namespace n ON n.oid = c.relnamespace
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LEFT JOIN pg_description d ON d.objoid = c.oid AND d.objsubid = 0
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WHERE c.relkind IN ('r', 'p') AND n.nspname = :schema
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ORDER BY c.relname
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""")
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_COLUMNS_Q = text("""
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SELECT a.attname AS column_name,
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format_type(a.atttypid, a.atttypmod) AS data_type,
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(NOT a.attnotnull) AS is_nullable,
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pg_get_expr(d.adbin, d.adrelid) AS column_default,
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COALESCE(pgd.description, '') AS comment,
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(ty.typtype = 'e') AS is_enum,
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EXISTS (
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SELECT 1 FROM pg_index i
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WHERE i.indrelid = c.oid AND i.indisprimary AND a.attnum = ANY (i.indkey)
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) AS is_pk
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FROM pg_class c
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JOIN pg_namespace n ON n.oid = c.relnamespace
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JOIN pg_attribute a ON a.attrelid = c.oid
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JOIN pg_type ty ON ty.oid = a.atttypid
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LEFT JOIN pg_attrdef d ON d.adrelid = c.oid AND d.adnum = a.attnum
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LEFT JOIN pg_description pgd ON pgd.objoid = c.oid AND pgd.objsubid = a.attnum
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WHERE c.relname = :table_name AND n.nspname = :schema
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AND a.attnum > 0 AND NOT a.attisdropped
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ORDER BY a.attnum
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""")
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_FOREIGN_KEYS_Q = text("""
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SELECT con.conname AS constraint_name,
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rel.relname AS source_table,
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a.attname AS source_column,
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frel.relname AS target_table,
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fa.attname AS target_column,
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src.ord
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FROM pg_constraint con
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JOIN pg_class rel ON rel.oid = con.conrelid
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JOIN pg_namespace ns ON ns.oid = rel.relnamespace
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JOIN pg_class frel ON frel.oid = con.confrelid
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JOIN unnest(con.conkey) WITH ORDINALITY AS src(attnum, ord) ON true
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JOIN pg_attribute a ON a.attrelid = con.conrelid AND a.attnum = src.attnum
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JOIN unnest(con.confkey) WITH ORDINALITY AS dst(attnum, ord) ON dst.ord = src.ord
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JOIN pg_attribute fa ON fa.attrelid = con.confrelid AND fa.attnum = dst.attnum
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WHERE con.contype = 'f' AND ns.nspname = :schema
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ORDER BY rel.relname, con.conname, src.ord
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""")
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_INDEXES_Q = text("""
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SELECT i.relname AS index_name,
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t.relname AS table_name,
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ix.indisunique AS is_unique,
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ix.indisprimary AS is_primary,
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am.amname AS index_type,
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array_agg(a.attname ORDER BY a.attnum) AS columns
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FROM pg_index ix
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JOIN pg_class i ON i.oid = ix.indexrelid
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JOIN pg_class t ON t.oid = ix.indrelid
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JOIN pg_namespace n ON n.oid = t.relnamespace
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JOIN pg_am am ON am.oid = i.relam
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JOIN pg_attribute a ON a.attrelid = t.oid AND a.attnum = ANY (ix.indkey)
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WHERE n.nspname = :schema
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GROUP BY i.relname, t.relname, ix.indisunique, ix.indisprimary, am.amname
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ORDER BY t.relname, i.relname
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""")
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class IntrospectionError(Exception):
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pass
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def introspect(engine: Engine, database: str, schema: str) -> PhysicalSchema:
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with engine.connect() as conn:
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exists = conn.execute(
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text("SELECT 1 FROM pg_namespace WHERE nspname = :schema"), {"schema": schema}
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).scalar()
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if not exists:
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raise IntrospectionError(f"Schema inesistente: {schema}")
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tables: dict[str, TablePhysical] = {}
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for trow in conn.execute(_TABLES_Q, {"schema": schema}):
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columns: dict[str, ColumnPhysical] = {}
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for crow in conn.execute(
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_COLUMNS_Q, {"table_name": trow.table_name, "schema": schema}
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):
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columns[crow.column_name] = ColumnPhysical(
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type=crow.data_type,
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nullable=bool(crow.is_nullable),
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pk=bool(crow.is_pk),
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default=crow.column_default,
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comment=crow.comment,
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is_enum=bool(crow.is_enum),
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)
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tables[trow.table_name] = TablePhysical(
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comment=trow.comment, row_count=trow.row_count, columns=columns
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)
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# FK raggruppate per (tabella, constraint), ordinate per posizione
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grouped: dict[tuple[str, str], ForeignKey] = {}
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for row in conn.execute(_FOREIGN_KEYS_Q, {"schema": schema}):
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key = (row.source_table, row.constraint_name)
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fk = grouped.setdefault(
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key,
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ForeignKey(
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columns=[], ref_table=row.target_table, ref_columns=[],
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name=row.constraint_name,
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),
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)
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fk.columns.append(row.source_column)
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fk.ref_columns.append(row.target_column)
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for (table_name, _), fk in grouped.items():
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if table_name in tables:
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tables[table_name].foreign_keys.append(fk)
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for row in conn.execute(_INDEXES_Q, {"schema": schema}):
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if row.table_name in tables:
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tables[row.table_name].indexes.append(
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Index(
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name=row.index_name,
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columns=list(row.columns),
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unique=bool(row.is_unique),
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primary=bool(row.is_primary),
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type=row.index_type,
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)
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)
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return PhysicalSchema(
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database=database,
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schema=schema,
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introspected_at=datetime.now(UTC),
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tables=tables,
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)
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def introspect_rest(client, database: str, schema: str) -> PhysicalSchema:
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"""Introspezione via REST (rpc `list_tables`/`table_columns`/`table_comments`/
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`table_foreign_keys`). Limiti rispetto al diretto: niente indici (nessun rpc) e
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`is_enum` non disponibile (default False)."""
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tables: dict[str, TablePhysical] = {}
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for trow in client.list_tables(schema):
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if trow.get("type") != "TABLE":
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continue # le viste sono fuori scope (come l'introspezione diretta)
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table_name = trow["table"]
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col_comments = {
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c["name"]: (c.get("comment") or "")
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for c in client.table_comments(schema, table_name)
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if c.get("object") == "COLUMN"
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}
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columns: dict[str, ColumnPhysical] = {}
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for crow in client.table_columns(schema, table_name):
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name = crow["column"]
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columns[name] = ColumnPhysical(
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type=crow["type"],
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nullable=bool(crow.get("nullable", True)),
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pk=bool(crow.get("pk", False)),
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default=crow.get("default"),
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comment=col_comments.get(name, ""),
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)
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foreign_keys: list[ForeignKey] = []
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for fk in client.table_foreign_keys(schema, table_name):
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foreign_keys.append(
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ForeignKey(
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columns=fk.get("columns") or [fk["column"]],
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ref_table=fk.get("ref_table") or fk["target_table"],
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ref_columns=fk.get("ref_columns") or [fk["target_column"]],
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name=fk.get("name", ""),
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)
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)
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tables[table_name] = TablePhysical(
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comment=trow.get("comment") or "",
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row_count=int(trow.get("rows") or 0),
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columns=columns,
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foreign_keys=foreign_keys,
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)
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return PhysicalSchema(
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database=database,
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schema=schema,
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introspected_at=datetime.now(UTC),
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tables=tables,
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)
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