feat(seed): FK sampling, empty-parent error, block guard (ADR-0048 P1.3a)
do_seed fills foreign-key columns by sampling existing parent rows (D14): sample_parent_key_tuples reads distinct parent keys, and a compound FK reads all its child columns from one sampled parent row per child row. An empty parent is refused with a friendly "seed the parent first" error. The block guard (D1) refuses a NOT NULL blob column (seed can't generate one); a nullable blob is omitted (-> NULL). 4 integration tests (valid FK references, empty-parent refusal, NOT NULL blob refusal, nullable-blob omission). 2331 pass / 0 fail / 0 skip, clippy all-targets clean. Deferred to P1.3b: identifier/constraint uniqueness incl. junction distinct-combos (D10), IN-CHECK derivation (D17), dedicated SeedResult + capped preview (D18) + advisory (D12/D13), and the multi-row path.
This commit is contained in:
@@ -8686,22 +8686,87 @@ fn count_rows(conn: &Connection, table: &str) -> Result<i64, DbError> {
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/// Default row count when `seed <T>` omits the count (ADR-0048 D6).
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const DEFAULT_SEED_COUNT: u64 = 20;
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/// How a single column's value is produced for each seeded row.
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enum SeedColPlan {
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/// Generated from the seed library (the generator is chosen once;
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/// `generate_value` runs per row).
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Generated {
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generator: crate::seed::Generator,
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ty: Type,
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},
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/// A foreign-key child column: sampled from an existing parent row
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/// (ADR-0048 D14). `fk_idx` selects the FK; `pos` selects this
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/// column's slot within the parent key tuple (so a compound FK's
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/// child columns all read from the *same* sampled parent row).
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ForeignKey { fk_idx: usize, pos: usize },
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}
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/// Sample existing parent-key tuples for FK generation (ADR-0048 D14).
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///
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/// Returns one `Value` tuple per distinct parent row in
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/// `parent_columns` order, so a compound FK's children can be filled
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/// from one consistent parent row. Empty when the parent has no rows
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/// (the caller turns that into the friendly "seed the parent first"
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/// error).
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fn sample_parent_key_tuples(
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conn: &Connection,
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parent_table: &str,
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parent_columns: &[String],
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) -> Result<Vec<Vec<Value>>, DbError> {
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let cols = parent_columns
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.iter()
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.map(|c| format!("\"{}\"", c.replace('"', "\"\"")))
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.collect::<Vec<_>>()
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.join(", ");
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let sql = format!(
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"SELECT DISTINCT {cols} FROM \"{}\"",
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parent_table.replace('"', "\"\"")
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);
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let n = parent_columns.len();
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let mut stmt = conn.prepare(&sql).map_err(DbError::from_rusqlite)?;
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let tuples = stmt
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.query_map([], |row| {
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let mut tuple = Vec::with_capacity(n);
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for i in 0..n {
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let v = match row.get_ref(i)? {
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rusqlite::types::ValueRef::Null => Value::Null,
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rusqlite::types::ValueRef::Integer(x) => Value::Number(x.to_string()),
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rusqlite::types::ValueRef::Real(x) => Value::Number(x.to_string()),
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rusqlite::types::ValueRef::Text(t) => {
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Value::Text(String::from_utf8_lossy(t).into_owned())
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}
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// FK keys are never blobs in this app; treat as NULL.
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rusqlite::types::ValueRef::Blob(_) => Value::Null,
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};
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tuple.push(v);
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}
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Ok(tuple)
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})
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.map_err(DbError::from_rusqlite)?
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.collect::<Result<Vec<_>, _>>()
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.map_err(DbError::from_rusqlite)?;
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Ok(tuples)
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}
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/// Populate a table with generated fake data (ADR-0048, SD1).
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///
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/// **Phase 1 walking skeleton.** Generates whole rows for every user
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/// column that is not an autogen `serial`/`shortid` and not a foreign
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/// key, inserting them one at a time through [`do_insert`] — which
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/// reuses all the existing per-value validation, autogen autofill,
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/// FK-error enrichment and persistence machinery. The whole seed is a
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/// single undo step (the worker wraps the call in one `snapshot_then`)
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/// and writes exactly one `history.log` line (only the first row
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/// carries the `source`).
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/// **Phase 1.** Generates whole rows and inserts them one at a time
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/// through [`do_insert`] — reusing all the existing per-value
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/// validation, autogen autofill, FK-error enrichment and persistence
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/// machinery. The whole seed is a single undo step (the worker wraps
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/// the call in one `snapshot_then`) and writes exactly one
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/// `history.log` line (only the first row carries the `source`).
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///
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/// Deferred to the next phase (ADR-0048): FK sampling from parent rows
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/// (D14), the efficient single-transaction multi-row path, identifier
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/// uniqueness (D10), the `IN`-CHECK value derivation (D17), the
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/// required-column block guard (D1), the capped auto-show preview
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/// (D18), and the enum/CHECK advisory (D12/D13).
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/// Foreign-key columns are filled by sampling existing parent rows
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/// (D14); a compound FK reads all its child columns from one sampled
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/// parent row. An empty parent is refused with a friendly error. A
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/// `NOT NULL blob` column (which seed cannot generate) is refused by
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/// the block guard (D1); a nullable blob is omitted (→ NULL).
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///
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/// Deferred: identifier/constraint uniqueness incl. junction
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/// distinct-combos (D10), the `IN`-CHECK value derivation (D17), the
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/// efficient single-transaction multi-row path, the capped auto-show
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/// preview (D18), and the enum/CHECK advisory (D12/D13).
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fn do_seed(
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conn: &Connection,
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persistence: Option<&Persistence>,
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@@ -8711,6 +8776,7 @@ fn do_seed(
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rng_seed: Option<u64>,
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) -> Result<InsertResult, DbError> {
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use crate::seed;
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use rand::RngExt;
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let canonical_table = require_canonical_table(conn, table)?;
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let table = canonical_table.as_str();
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@@ -8719,48 +8785,92 @@ fn do_seed(
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let schema = read_schema(conn, table)?;
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// FK child columns are filled by the executor in a later phase; for
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// now they are omitted (left to NULL / default).
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let fk_children: std::collections::HashSet<&str> = schema
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.foreign_keys
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.iter()
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.flat_map(|fk| fk.child_columns.iter().map(String::as_str))
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.collect();
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// Pre-sample each FK's parent key tuples (D14); refuse if a parent
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// is empty (no valid reference can be fabricated).
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let mut fk_samples: Vec<Vec<Vec<Value>>> = Vec::with_capacity(schema.foreign_keys.len());
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for fk in &schema.foreign_keys {
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let tuples = sample_parent_key_tuples(conn, &fk.parent_table, &fk.parent_columns)?;
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if tuples.is_empty() {
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return Err(DbError::Unsupported(format!(
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"cannot seed `{table}`: parent table `{}` (referenced by `{}`) has no rows. \
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Seed or insert into `{}` first.",
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fk.parent_table,
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fk.child_columns.join(", "),
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fk.parent_table,
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)));
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}
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fk_samples.push(tuples);
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}
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// child column → (fk index, position within the FK's column list).
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let mut fk_child_pos: std::collections::HashMap<&str, (usize, usize)> =
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std::collections::HashMap::new();
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for (fk_idx, fk) in schema.foreign_keys.iter().enumerate() {
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for (pos, child) in fk.child_columns.iter().enumerate() {
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fk_child_pos.insert(child.as_str(), (fk_idx, pos));
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}
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}
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// Columns we generate values for: every user column that is not an
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// autogen serial/shortid and not an FK child.
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let gen_columns: Vec<&ReadColumn> = schema
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.columns
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.iter()
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.filter(|c| {
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!matches!(c.user_type, Some(Type::Serial) | Some(Type::ShortId))
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&& !fk_children.contains(c.name.as_str())
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})
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.collect();
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let col_names: Vec<String> = gen_columns.iter().map(|c| c.name.clone()).collect();
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// Build the per-column generation plan, skipping autogen and
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// un-generatable columns.
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let mut col_names: Vec<String> = Vec::new();
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let mut plans: Vec<SeedColPlan> = Vec::new();
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for c in &schema.columns {
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let ty = c.user_type.unwrap_or(Type::Text);
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// serial/shortid auto-fill in `do_insert`; omit them.
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if matches!(ty, Type::Serial | Type::ShortId) {
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continue;
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}
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// blob has no DSL value path: refuse if required (D1), else omit.
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if matches!(ty, Type::Blob) {
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if c.notnull {
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return Err(DbError::Unsupported(format!(
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"cannot seed `{table}`: column `{}` is `NOT NULL` but has type `blob`, \
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which seed cannot generate. Add the rows another way or make it nullable.",
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c.name,
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)));
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}
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continue;
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}
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col_names.push(c.name.clone());
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if let Some(&(fk_idx, pos)) = fk_child_pos.get(c.name.as_str()) {
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plans.push(SeedColPlan::ForeignKey { fk_idx, pos });
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} else {
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let spec = seed::ColumnSpec {
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name: c.name.clone(),
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ty,
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not_null: c.notnull,
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primary_key: c.primary_key,
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unique: c.unique,
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is_foreign_key: false,
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// `IN`-CHECK derivation is a later phase.
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check_in_values: None,
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};
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let generator = seed::choose_generator(table, &spec);
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plans.push(SeedColPlan::Generated { generator, ty });
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}
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}
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let mut rng = seed::make_rng(rng_seed);
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let mut rows_affected = 0usize;
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let mut last_data: Option<DataResult> = None;
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for i in 0..n {
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let values: Vec<Value> = gen_columns
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// One sampled parent row per FK for this row, so a compound FK's
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// children stay consistent.
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let fk_choice: Vec<usize> = fk_samples
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.iter()
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.map(|c| {
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let ty = c.user_type.unwrap_or(Type::Text);
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let spec = seed::ColumnSpec {
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name: c.name.clone(),
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ty,
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not_null: c.notnull,
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primary_key: c.primary_key,
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unique: c.unique,
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// FK children are already filtered out above.
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is_foreign_key: false,
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// `IN`-CHECK derivation is a later phase.
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check_in_values: None,
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};
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let generator = seed::choose_generator(table, &spec);
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seed::generate_value(&generator, ty, &mut rng)
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.map(|tuples| rng.random_range(0..tuples.len()))
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.collect();
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let values: Vec<Value> = plans
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.iter()
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.map(|plan| match plan {
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SeedColPlan::Generated { generator, ty } => {
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seed::generate_value(generator, *ty, &mut rng)
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}
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SeedColPlan::ForeignKey { fk_idx, pos } => {
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fk_samples[*fk_idx][fk_choice[*fk_idx]][*pos].clone()
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}
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})
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.collect();
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+151
-1
@@ -5,7 +5,7 @@
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//! line for the whole command (ADR-0048 D15 / U3).
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use rdbms_playground::db::Database;
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use rdbms_playground::dsl::{ColumnSpec, Command, Type, parse_command};
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use rdbms_playground::dsl::{ColumnSpec, Command, ReferentialAction, Type, parse_command};
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use rdbms_playground::persistence::Persistence;
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use rdbms_playground::project;
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@@ -148,3 +148,153 @@ fn seed_writes_exactly_one_history_line() {
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"a seed of 5 rows must write exactly one history line:\n{history}"
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);
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}
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// — FK sampling, empty-parent error, block guard (ADR-0048 D14 / D1) —
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/// `Users(id serial pk, name text)` + `Orders(id serial pk, user_id
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/// int, total decimal)` with `Orders.user_id -> Users.id`.
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fn create_users_and_orders(db: &Database, rt: &tokio::runtime::Runtime, add_fk: bool) {
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rt.block_on(async {
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db.create_table(
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"Users".to_string(),
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vec![
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ColumnSpec::new("id", Type::Serial),
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ColumnSpec::new("name", Type::Text),
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],
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vec!["id".to_string()],
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None,
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)
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.await
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.expect("create Users");
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db.create_table(
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"Orders".to_string(),
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vec![
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ColumnSpec::new("id", Type::Serial),
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ColumnSpec::new("user_id", Type::Int),
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ColumnSpec::new("total", Type::Decimal),
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],
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vec!["id".to_string()],
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None,
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)
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.await
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.expect("create Orders");
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if add_fk {
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db.add_relationship(
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None,
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"Users".to_string(),
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vec!["id".to_string()],
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"Orders".to_string(),
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vec!["user_id".to_string()],
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ReferentialAction::NoAction,
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ReferentialAction::NoAction,
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false,
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None,
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)
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.await
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.expect("add Orders->Users FK");
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}
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});
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}
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/// `user_id` is column index 1 of `Orders(id, user_id, total)`.
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fn order_user_ids(csv: &str) -> Vec<String> {
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let mut lines = csv.lines().filter(|l| !l.trim().is_empty());
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lines.next(); // header
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lines
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.map(|l| l.split(',').nth(1).unwrap_or_default().to_string())
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.collect()
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}
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#[test]
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fn seed_fills_foreign_keys_from_existing_parents() {
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let (project, db, _dir) = open_project_db();
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let rt = rt();
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create_users_and_orders(&db, &rt, true);
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// 5 parents → serial ids 1..=5.
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rt.block_on(db.seed("Users".into(), Some(5), Some(1), Some("seed Users 5".into())))
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.expect("seed Users");
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let res = rt
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.block_on(db.seed("Orders".into(), Some(10), Some(2), Some("seed Orders 10".into())))
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.expect("seed Orders");
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assert_eq!(res.rows_affected, 10, "every child row must insert (valid FK)");
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let csv = read_csv(&project, "Orders").expect("Orders CSV");
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let valid: std::collections::HashSet<String> = (1..=5).map(|i| i.to_string()).collect();
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let user_ids = order_user_ids(&csv);
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assert_eq!(user_ids.len(), 10);
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for uid in &user_ids {
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assert!(
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valid.contains(uid),
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"user_id `{uid}` does not reference an existing parent:\n{csv}"
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);
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}
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}
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#[test]
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fn seed_refuses_when_a_parent_table_is_empty() {
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let (_project, db, _dir) = open_project_db();
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let rt = rt();
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create_users_and_orders(&db, &rt, true);
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// Users is empty — no valid FK can be fabricated.
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let err = rt
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.block_on(db.seed("Orders".into(), Some(3), Some(1), Some("seed Orders 3".into())))
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.expect_err("seed must refuse an empty parent");
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let msg = err.to_string();
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assert!(msg.contains("Users"), "error should name the empty parent: {msg}");
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let lower = msg.to_lowercase();
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assert!(
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lower.contains("no rows") || lower.contains("first"),
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"error should explain how to fix it: {msg}"
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);
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}
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#[test]
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fn seed_refuses_a_not_null_blob_column() {
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let (_project, db, _dir) = open_project_db();
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let rt = rt();
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let mut payload = ColumnSpec::new("payload", Type::Blob);
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payload.not_null = true;
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rt.block_on(db.create_table(
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"Files".to_string(),
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vec![ColumnSpec::new("id", Type::Serial), payload],
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vec!["id".to_string()],
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None,
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))
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.expect("create Files");
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let err = rt
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.block_on(db.seed("Files".into(), Some(2), Some(1), Some("seed Files 2".into())))
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.expect_err("seed must refuse a NOT NULL blob");
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let msg = err.to_string();
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assert!(
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msg.contains("payload") && msg.to_lowercase().contains("blob"),
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"error should name the un-generatable blob column: {msg}"
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);
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}
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#[test]
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fn seed_omits_a_nullable_blob_column() {
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let (project, db, _dir) = open_project_db();
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let rt = rt();
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rt.block_on(db.create_table(
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"Files".to_string(),
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vec![
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ColumnSpec::new("id", Type::Serial),
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ColumnSpec::new("name", Type::Text),
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// nullable blob → omitted (→ NULL), seed still succeeds.
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ColumnSpec::new("payload", Type::Blob),
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],
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vec!["id".to_string()],
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None,
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))
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.expect("create Files");
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let res = rt
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.block_on(db.seed("Files".into(), Some(3), Some(1), Some("seed Files 3".into())))
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.expect("seed succeeds despite the nullable blob");
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assert_eq!(res.rows_affected, 3);
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let csv = read_csv(&project, "Files").expect("Files CSV");
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assert_eq!(data_row_count(&csv), 3);
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}
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