DEV-1450 principled redesign of syntax (WIP)#139
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Add `slayer/core/keys.py` with the typed-key family that the new resolution pipeline uses for structural identity (P2): - `ColumnKey(path, leaf)` — row-level base column ref. Local and cross-model share this shape; only `path` (empty vs non-empty) distinguishes (P3). - `ColumnSqlKey(model, column_name)` — derived column ref. - `StarKey` — sentinel source for `*:count`. - `SqlExprKey(canonical_sql)` — identity for Mode-A fragments (used as `AggregateKey.column_filter_key`). - `AggregateKey(source, agg, args, kwargs, column_filter_key)` — unified local + cross-model aggregate identity. Kwargs sorted by validator; scalars normalised; `column_filter_key` distinguishes same-column-different-filter aggregates. - `TransformKey(op, input, args, kwargs, partition_keys, time_key)` — window / temporal operator over a value. `partition_keys` is a frozenset (order-independent). - `ArithmeticKey(op, operands)` — operand order matters. - `ScalarCallKey(name, args)` — closed-allowlist scalar call (C12). - `Phase` IntEnum (ROW=0, AGGREGATE=1, POST=2) — `.phase` property on every key; ArithmeticKey/ScalarCallKey take max over operands. - `SCALAR_FUNCTIONS` frozenset — the closed allowlist. - `normalize_scalar(value)` — bool/None passthrough; int→Decimal; float→Decimal(str(...)) to avoid binary imprecision; Decimal/str passthrough; anything else raises TypeError. All keys are frozen Pydantic models; hashable; usable as dict keys for slot interning. 60 tests cover identity, hashing, kwarg canonicalisation, phase composition, and the C12 allowlist contents. Dormant: no engine code routes through these yet (stages 7a/7b wire them up). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Add the typed scope kinds (P5) and the resolved-source bundle (P11): - `slayer/core/scope.py` — `StageColumn` (typed projection element, P6), `StageSchema` (flat-namespace projection of one stage that downstream stages bind against), `ModelScope` (join-graph-bearing scope used during binding). - `slayer/engine/source_bundle.py` — `ResolvedSourceBundle`: eagerly resolved query inputs (source_model + referenced_models + inline_extensions + named_queries + query_variables + datasource_hint). Built once by the orchestrator; the binder reads purely (P11 — no ContextVar machinery). I2 (anchor-optional, extension injection): `ModelScope.source_model` and `ResolvedSourceBundle.source_model` are `Optional[SlayerModel]` from day one. DEV-1450's binder asserts `source_model is not None` at use sites so behavior is unchanged. The type-level optionality is the extension point for a future anchor-less mode (where the global join graph is auto-discovered from `model.column` refs). 25 tests cover: hidden vs visible slots, flat namespace contract (__-bearing names are flat in StageSchema), lookup helpers, construction with/without source_model. Dormant: no engine code routes through these yet. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Move the consolidated DEV-1369 join walker out of `SlayerQueryEngine` into `slayer/engine/path_resolution.py` so the new binder modules can import it directly without dragging the engine in. - New `walk_join_chain(*, source_model, hop_names, resolve_model, named_queries, strict_missing_join)` — free function that takes the engine's `_resolve_model` as a callback. - `NoJoinError` sentinel moves with it (the lenient-missing-join signal used by dimension-resolution callers). - `SlayerQueryEngine._walk_join_chain` becomes a thin shim that passes `self._resolve_model` to the new function. All existing call sites keep their signature. - `_NoJoinError` is re-imported into the engine module under the same name so internal usages don't change. 13 tests pin the contract: cycle detection, strict vs lenient missing-join, multi-hop returns (terminal_model, first_join), prefer_data_source threading, named_queries default. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Lift agg-name collection and parameter resolution out of enrichment.py and generator.py into `slayer/engine/agg_registry.py` so the new binder modules don't have to reach into those tangles. Helpers are pure: given a model + a resolve_join_target callback, they produce structured results without touching storage or spawning side maps. - `collect_reachable_agg_names(source_model, resolve_join_target, named_queries)` — BFS the join graph for custom aggregation names (lifted from `enrichment.py:_collect_reachable_agg_names`). Cycle-safe via visited set. - `is_known_aggregation_name(name, custom_names)` — built-in or in the custom set. - `resolve_aggregation(name, available_aggs)` — find the `Aggregation` definition for a name, returning None when only a built-in default should apply. - `required_params_for(agg_name)` — required built-in params (e.g. `weighted_avg` requires `weight`). - `merge_agg_params(agg_def, query_kwargs)` — combine defaults with query-time overrides. 25 tests cover the BFS, custom-name lookup, builtin-override resolution, and param merging. Dormant: existing enrichment / generator code still inlines its own logic; stages 7a/7b switch over. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Add the typed error / warning classes for the new pipeline with a
stable str() format so snapshot tests can pin the contract:
<ErrorName>: <one-line summary>
at <location>
scope: <short scope summary>
suggestion: <did-you-mean>
Errors (subclass `SlayerError`):
- `UnknownReferenceError(name, scope_kind, scope_summary, suggestion)`
- `AmbiguousReferenceError(name, candidates)` — sorts candidates
- `IllegalScopeReferenceError(name, scope_kind, reason)` — covers
C8 (`__` in ModelScope) and DEV-1449 (dotted refs against
StageSchema)
- `IllegalWindowInFilterError(filter_expr, source, suggestion)` —
raw `OVER(...)` in DSL filter OR filter naming windowed
`Column.sql` (predicate promotion was removed in DEV-1336)
- `AggregationNotAllowedError(column, agg, reason)` — type-bucket
/ PK / allowed_aggregations violations
- `UnknownFunctionError(name, location, suggestion)` — Mode-B call
outside SCALAR_FUNCTIONS / transforms / aggregations (C12)
- `MeasureRecursionLimitError(chain, limit)` /
`MeasureCycleError(chain)` — named-measure expansion guards
- `DuplicateMeasureNameError(name, occurrences)` /
`MeasureNameCollidesWithColumnError(name, model)` /
`CanonicalAliasShadowsColumnError(formula, canonical, model)` —
DEV-1443 alias-collision validations
- `UnreachableFilterDroppedWarning(filter_text, reason)` — warning,
emitted by the cross-model planner when it drops an unreachable
host filter from a sub-query CTE
Slack normalization payload + carrier (`slayer/core/warnings.py`):
- `NormalizationWarning` — Pydantic payload with `rule_id`,
`original`, `normalized`, `location`, `rule_doc_url`.
- `SlayerNormalizationWarning` — UserWarning carrier so callers
can route via `warnings.catch_warnings()` AND via the structured
`SlayerResponse.warnings` list (stage 6 wiring).
36 tests snapshot str(error) for every class and verify the
warning carrier roundtrips through `warnings.warn(...)`.
Dormant: no code raises these yet.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…ED_MEASURE) Add `slayer/engine/normalization.py` and wire it into the engine. The layer rewrites tolerant-but-unambiguous agent input to canonical form before the typed pipeline sees it (P0), and emits structured `NormalizationWarning` payloads alongside the existing in-tree UserWarnings (which still fire from `_rewrite_funcstyle_aggregations` until stage 7b removes them). Active rules in stage 6: - `FUNC_STYLE_AGG` (Mode B): `sum(revenue)` → `revenue:sum`; `count(*)` → `*:count`; `percentile(amount, p=0.5)` → `amount:percentile(p=0.5)`. Applied to `ModelMeasure.formula`, `SlayerQuery.measures[].formula`, and `SlayerQuery.filters` entries. Custom model-level aggregation names are recognised in `normalize_model` via the model's `aggregations` list. - `MISPLACED_MEASURE` (query shape): bare entries in `SlayerQuery.measures` that resolve as a column on the model (and not as a `ModelMeasure` name) move to `SlayerQuery.dimensions`. Mirrors the existing `_auto_move_fields_to_dimensions` heuristic but emits the structured warning. - `DOT_PATH_IN_SQL` (Mode A): wired but stubbed — returns input unchanged. Full sqlglot-AST, scope-aware rewrite lands in a follow-up. The slot is wired so downstream activation needs no plumbing changes. Engine wiring (`slayer/engine/query_engine.py`): - `SlayerResponse.warnings: List[NormalizationWarning]` additive field (default empty). - `_execute_pipeline` runs `normalize_query` immediately after the source model is resolved (so MISPLACED_MEASURE has model context); rewrites flow into the existing `_auto_move_fields_to_dimensions` + enrichment, which see already-canonical input and silently no-op. - All three `SlayerResponse(...)` construction sites (dry_run, explain, normal execute) propagate `warnings=slack_warnings`. - `save_model` runs `normalize_model` before persistence so stored formulas land in canonical form. 17 tests cover FUNC_STYLE_AGG rewrites + warning emission, MISPLACED_MEASURE detection + move, custom-agg recognition, canonical-input no-op behavior, engine wiring through `engine.execute(..., dry_run=True)` and `engine.save_model(...)`. Total: 3056 unit tests passing, no regressions. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…threading
Codex review of stages 1-6 surfaced two important bugs. Fix both
plus pin the contract with new tests.
1. **bool vs Decimal interning collision in typed keys** (stage 1).
Python collapses ``True == 1 == Decimal('1')`` and the same for
``False`` / ``0`` at both equality and hashing. So
``AggregateKey(args=(True,))`` previously interned with
``AggregateKey(args=(Decimal('1'),))`` — silently sharing a slot
for two semantically different aggregations
(``percentile(p=True)`` vs ``percentile(p=1)``).
Add `_typed_leaf` / `_typed_args` / `_typed_kwargs` helpers in
`slayer/core/keys.py` that wrap scalar leaves as
``(type_tag, value)`` at hash/eq time without changing the
stored representation. Override `__hash__` and `__eq__` on
`AggregateKey`, `TransformKey`, and `ScalarCallKey` to use them.
`ColumnKey` / `ColumnSqlKey` / `StarKey` / `SqlExprKey` are
unaffected (they don't take scalar args).
4 new tests in `tests/test_keys.py::TestBoolDecimalDisambiguation`
pin the contract across all three key classes.
2. **custom_agg_names not threaded to normalize_query** (stage 6).
The engine called `normalize_query(query, model=model)` without
custom aggregation names, so a slack `custom_sum(revenue)` in a
query measure or filter was left to the legacy
`_rewrite_funcstyle_aggregations` rewrite (which still
functions correctly) but didn't surface a structured warning in
`SlayerResponse.warnings`.
Collect custom names from `model.aggregations` in
`_execute_pipeline` and pass them through. Joined-model custom
aggs are still out of scope (need the full reachable-agg-names
walk) — that arrives with stage 7a's binder; the legacy rewrite
continues to catch them until then.
1 new test in `tests/test_slack_normalization.py` verifies the
structured warning surfaces for a model-defined custom aggregation.
Codex finding 3 (FUNC_STYLE_AGG on Mode-A filters) is a false
positive: `SlayerQuery.filters` is Mode B per CLAUDE.md / DEV-1378.
Mode-A filters live on `Column.filter` and `SlayerModel.filters`,
which the normalization layer does not touch.
Codex finding 4 (backslash-escaped quote handling in literal-span
detection) is a minor edge case for SQL dialects that allow ``\\'``
inside literals; noted as a follow-up.
Net: 3061 unit tests passing (was 3056), no regressions.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Add `slayer/engine/planned.py` with the typed shapes consumed by the SQL generator after stage 7b cutover. Dormant — no engine code routes through them yet. - `ValueSlot(id, key, declared_name, public_name, public_aliases, hidden, phase, label, type, expression)` — one materialised slot. `key` is structural identity; rendering metadata lives here. P4 / C13 multi-alias supported. Hidden invariant enforced by a model validator: hidden slots must not carry public_name / public_aliases. - `JoinRequirement(source_model, target_model, join_pairs, join_type)` — one hop in a cross-model chain. `join_type` defaults to LEFT to match `ModelJoin`. Non-empty + well-formed `join_pairs` validated. - `CrossModelAggregatePlan(aggregate_slot_id, target_model, datasource, join_chain, join_back_pairs, cte_stage_schema, shared_grain_slots, applied_filter_ids, dropped_filter_warnings, hidden, public_alias)` — plan for one cross-model aggregate slot (P3). Strategy-agnostic: the I1 CrossModelPlanner Protocol (stage 7a.2) populates this struct; the struct doesn't lock in isolated-CTE. - `TransformLayer(op, slot_ids)` — one transform layer; generator picks the render strategy per op (window function vs self-join CTE). - `FilterPhase(id, phase, text, expression)` — bound filter routed by phase (P8). `expression` carries the renderable payload so the generator never re-parses text. - `OrderEntry(slot_id, direction)` — ORDER BY entry; strict lowercase `asc`/`desc` since OrderEntry is planner-produced. - `BoundExpr(value_key, sql_text)` — minimum scaffold for the bound-expression payload that stage 7a.5's binder will fill in. Carried by ValueSlot.expression and FilterPhase.expression. - `PlannedQuery(source_relation, join_plan, row_slots, aggregate_slots, cross_model_aggregate_plans, combined_expression_slots, transform_layers, filters_by_phase, projection, order, limit, offset, stage_schema)` — the fully typed plan that the SQL generator consumes. Codex review (round 1) on the new module surfaced three important items: FilterPhase lacked a bound-expression payload (fixed via BoundExpr scaffold), JoinRequirement was missing join_type (fixed), ValueSlot hidden invariant was not enforced (fixed via model validator). All addressed. 32 unit tests pin the contract, including the hidden invariant, join_type defaults, OrderEntry case strictness, and BoundExpr propagation through slots. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Replaces the no-op stub of `_apply_dot_path_in_sql` with an AST-based, scope-aware Mode-A rewrite over `Column.sql`, `Column.filter`, and `SlayerModel.filters`. Root-scope `<join>.<intermediate>.<leaf>` refs collapse to `<join>__<intermediate>.<leaf>`; first-segment shadowing by CTE name, AS alias, Subquery/CTE source, or FROM-table schema/catalog qualifier emits an ambiguity warning without rewriting. Refs inside subqueries / CTE bodies / set-op branches are left alone via lexical ancestor walking. Multi-statement slack input is a no-op. Wired through `normalize_model`. The legacy regex `slayer.core.models._fix_multidot_sql` still runs at construction time and pre-empts most real-world inputs; Stage 7b deletes the regex and hands full ownership to this rule. 32 new tests in `tests/test_dot_path_in_sql.py`. Full unit suite green. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
… (I1) Adds slayer/engine/cross_model_planner.py with: - CrossModelPlanner Protocol (substitutable strategy). - IsolatedCteCrossModelPlanner — default impl encoding the inherited_filter_policy decision table. - HostFilterRouting input + classify_host_filter() helper. - FilterRoute enum: DROP_HOST_LOCAL / PROPAGATE_WHERE / PROPAGATE_HAVING / DROP_UNREACHABLE / STAY_AT_HOST_POST. Extends CrossModelAggregatePlan in planned.py with route-explicit fields the SQL generator (7b) needs without re-classifying: - where_filter_ids / having_filter_ids / target_model_filters. Multi-hop semantics: join_back_pairs and CTE schema reference the FIRST hop's target grain (e.g. customers.id for orders→customers→regions), while the aggregate output column's type is sourced from the terminal model. ColumnSqlKey routing uses host_model_name to distinguish host-local derived columns (DROP_HOST_LOCAL), derived columns on the target path (PROPAGATE_WHERE), and derived columns on other branches (DROP_UNREACHABLE). 32 new tests covering Protocol substitution, single + multi-hop join chains, every row of the decision table, ColumnSqlKey routing, edge cases (unknown slot id, empty refs). Full unit suite green. Dormant — no engine wiring. Stage 7a.6's ProjectionPlanner is the first consumer. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds slayer/engine/syntax.py with parse_expr() — pure syntax for the Mode-B DSL (no scope resolution, no named-measure expansion, no slack rewriting; those are upstream). ParsedExpr family: Ref / DottedRef / StarSource / Literal / AggCall / TransformCall / ScalarCall / Arith / UnaryOp / Cmp / BoolOp. All frozen Pydantic models with value-based equality. Pipeline: colon preprocess (skipping string-literal spans) → Python ast.parse → AST walk to typed nodes. Closed allowlist for scalar functions (SCALAR_FUNCTIONS in keys.py); transforms from ALL_TRANSFORMS; aggregations via placeholder lookup. AST-level dunder rejection across Name / Attribute / keyword.arg positions — robust to string literals. Rejections (raises): - Unknown function call → UnknownFunctionError. - Raw OVER(...) → IllegalWindowInFilterError. - `__` in user identifier → ValueError. - Chained comparisons (`1 < x < 10`) → ValueError. - Function-style aggregations (`sum(revenue)`) → UnknownFunctionError (slack normalization owns the rewrite; if it reaches the parser, that's a bypass). - Scalar-function kwargs (`lower(name=...)`) → ValueError. 62 tests in tests/test_syntax.py. Full unit suite green: 3219 passed. Dormant — no engine wiring. Stage 7a.5 binder is the first consumer. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds slayer/sql/sql_expr.py with: - parse_sql_expr(text, *, dialect=None) → SqlExprKey - canonicalize_sql(text, *, dialect=None) → str - has_window_function(text) → bool (re-export) - assert_no_window_in_filter(text, *, source) → None / raises parse_sql_expr wraps as `SELECT (<text>) AS _` before sqlglot parsing, then strips the wrapper paren. Mirrors the generator's predicate-parse trick — necessary because sqlglot's SQLite/MySQL parser otherwise falls back to a Command node for top-level `replace(...)` and other keyword conflicts. Dialect-specific rewrites preserved through the canonical key: - SQLite json_extract function form (vs `->` operator) - log10 / log2 preservation for dialects with native single-arg aliases (allowlist duplicated from slayer/sql/generator.py — comments in both call out the sync point; consolidation deferred). 23 tests in tests/test_sql_expr.py. Full unit suite green. Dormant — no engine wiring. Stage 7a.5 binder is the first consumer (AggregateKey.column_filter_key). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds slayer/engine/binding.py with: - bind_expr(parsed, *, scope, bundle) → BoundExpr - bind_filter(parsed, *, scope, bundle) → BoundFilter - walk_value_keys(key) — traverse helper for referenced-key collection Two scope kinds (P5): - ModelScope: dotted refs walk the join graph via bundle. C14 self- prefix stripped before walk. `__` rejected unless it exact-matches a column on the model. - StageSchema: flat namespace; dotted refs raise IllegalScopeReferenceError. FilterBinder layers phase classification (Phase.ROW / AGGREGATE / POST = max of referenced slot phases) plus IllegalWindowInFilterError when a filter references a ColumnSqlKey whose Column.sql contains a window function (DEV-1369: no auto-promotion). keys.py: add LiteralKey to ValueKey union for arithmetic over scalars (`amount + 1`); add `path: Tuple[str, ...]` to ColumnSqlKey so joined derived columns carry the same path-bearing identity ColumnKey has. Defence-in-depth: _bind_scalar re-checks SCALAR_FUNCTIONS in case the parser was bypassed via direct ParsedExpr construction. 31 tests in tests/test_binding.py. Full unit suite green: 3273 passed. Dormant — no engine wiring. Stage 7a.6 planner is the first consumer. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds slayer/engine/planning.py with three composable concerns: 1. ValueRegistry — interns ValueKeys by structural identity. Two structurally-equal keys share one ValueSlot (P2). Same key declared with multiple `name`s accumulates multiple public_aliases on one slot (P4 / C13). Alias-collision validations preserved from DEV-1443: DuplicateMeasureNameError, MeasureNameCollidesWithColumnError, CanonicalAliasShadowsColumnError. 2. desugar_change / desugar_change_pct — lower sugar transforms to `x - time_shift(x)` / `(x - time_shift(x)) / time_shift(x)`. The inner aggregate keeps the same ValueKey instance across both operands so the registry interns it once (DEV-1446). `partition_by` from the sugar form threads through to the underlying time_shift (C6) — the binder lifts it onto TransformKey.partition_keys, the lowerer passes it through. 3. ProjectionPlanner — allocates slots for declared measures + creates hidden slots for refs that appear ONLY in order/filter. Slot dependency selection (`_iter_slot_deps`) only materialises ColumnKey, ColumnSqlKey, AggregateKey, TransformKey — composite nodes (ArithmeticKey, ScalarCallKey) and literals stay inlined. binding.py: _bind_transform now lifts the `partition_by` kwarg onto TransformKey.partition_keys; non-column partition_by values are rejected with a clear error. 26 tests in tests/test_value_registry.py / test_transform_lowerer.py / test_projection_planner.py. Full unit suite green: 3299 passed. Dormant — no engine wiring. Stage 7a.7 stage_planner is the first consumer. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds slayer/engine/stage_planner.py with:
- plan_query(*, query, bundle, scope=None, ...) → PlannedQuery
- Parses + binds measures / dimensions / filters / order against
the supplied scope (ModelScope by default, StageSchema for
downstream stages).
- Runs ProjectionPlanner + assembles a PlannedQuery with stage_schema.
- plan_stages(*, queries, bundle, ...) → List[PlannedQuery]
- Topologically sorts via Kahn's algorithm (rejects duplicate stage
names and cycles).
- Per-stage StageSchema becomes the binding scope for downstream
stages (DEV-1449: dotted refs in downstream stages raise
IllegalScopeReferenceError).
- User-supplied `name` on a measure becomes the StageSchema column
alias (DEV-1448). Multi-alias declarations (same key, two names)
emit one StageSchema column per alias.
ValueRegistry: exempts self-named dimensions (ColumnKey(leaf=X)
declared as X) from MeasureNameCollidesWithColumnError — the
declaration is the column itself, not a rename.
10 tests in tests/test_stage_planner.py covering:
- single-stage smoke (measure + dimension + filter),
- DEV-1448 (named measure → schema column alias),
- DEV-1449 (downstream flat refs; dotted refs rejected),
- topo sort (duplicate name and cycle rejection),
- multi-alias StageSchema columns.
Full unit suite green: 3309 passed.
Dormant — no engine wiring. cross_model_planner parameter is built
but not yet invoked from PlannedQuery construction; Stage 7b wires
the full cross-model-aggregate plan emission. Same for BoundExpr
payload propagation onto ValueSlot / FilterPhase.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Move {var} placeholder substitution out of the legacy enrichment path
(slayer/engine/enrichment.py:1162) into a small, pipeline-friendly
slayer/engine/variables.py module. Dormant in this commit — wired in by
stage 7b.15 (engine cutover).
Public surface:
- merge_query_variables(*, runtime, stage, outer, model_defaults):
4-layer merge replacing the legacy 3-layer _merge_query_variables.
Precedence runtime > stage > outer > model_defaults; None / empty
layers act as identities; inputs unmutated.
- apply_variables_to_query(*, query, variables=None, dry_run_placeholders=False):
returns a fresh SlayerQuery copy with {var} substituted in `filters`.
Always copies (no shared empty-list aliasing). variables=None is
normalized to empty dict. dry_run_placeholders=True fills missing
valid placeholders with "0" but does NOT mask invalid names.
Scope deliberately matches legacy: only SlayerQuery.filters is
substituted. Formula text, Column.sql, Column.filter, and
SlayerModel.filters are not variable-substituted today and this module
preserves that contract.
39 new tests in tests/test_variables_planner.py cover precedence,
escape (`{{` / `}}`), invalid names, unmatched braces, dry-run +
invalid-name interaction, idempotence, copy semantics, and re-export
identity. Codex review of tests caught HIGH#1 (copy vs identity) and
HIGH#2 (explicit idempotence test); both folded in. Codex review of
impl caught two LOW findings (empty-list aliasing and Optional
variables); both folded in.
Full unit suite green (3348 passed, 2 skipped); ruff clean.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
New slayer/engine/measure_expansion.py: AST-to-AST rewrite of a
ParsedExpr tree. Every Ref(name=X) whose X resolves to a ModelMeasure
(on the model or in extra_measures) is replaced with the recursively-
expanded ParsedExpr of that measure's formula.
Per Codex F4 fold-in on the DEV-1450 plan: expansion lives PRE-BIND, not
planner-layer. The binder (slayer/engine/binding.py:341-354) currently
raises UnknownReferenceError for bare measure names; this module runs
ahead of the binder and rewrites those refs into binder-resolvable AST
shapes.
Public API:
expand_model_measures(
*,
expr: ParsedExpr,
model: SlayerModel,
extra_measures: Sequence[ModelMeasure] = (),
depth_limit: Optional[int] = None,
) -> ParsedExpr
Eligible positions: root; Arith / UnaryOp / Cmp / BoolOp operands;
ScalarCall.args; TransformCall.input / args / kwarg values.
Not eligible: DottedRef (cross-model paths), AggCall in any position
(source / args / kwargs are column-level by contract), function-name
slots on TransformCall.op / ScalarCall.name, Literal, StarSource,
SlayerQuery.order entries.
Depth limit: SLAYER_MEASURE_EXPANSION_DEPTH env var (default 32);
explicit kwarg wins; <1 raises ValueError. Exceeded chain raises
MeasureRecursionLimitError. Per-chain cycle detection raises
MeasureCycleError with the full traversal chain.
Per-call memoization of parsed measure formulas (Codex impl review
MEDIUM#1). _PARSED_EXPR_TYPES tuple derived from get_args(ParsedExpr) so
future syntax additions are auto-walked (Codex LOW#5).
41 new tests in tests/test_model_measure_expansion.py cover the
eligibility matrix, recursion / cycle semantics, depth-limit boundaries
(default 32 succeeds at 32, fails at 33), env-var override + explicit
override precedence, extra_measures shadowing model measures, purity
under re-expansion, and pre-bind "does not validate columns" contract.
Full unit suite green (3389 passed, 2 skipped); ruff clean.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Add slayer/core/keys.py::TimeTruncKey — row-phase ValueKey identifying a time-truncated column by (column: ColumnKey, granularity: str). The underlying column is recoverable via key.column so date-range filters (stage 7b.3c) can bind against the raw column independently of the truncation. Identity is structural: same (column, granularity) interns to one slot; different granularities on the same column are distinct slots. The ValueRegistry can keep month / day / raw uses of the same column as separate materialised values without special-casing — Codex's recommendation (Option A) over a granularity-on-slot or TransformKey(op='date_trunc') encoding. Granularity stored as the str value of a TimeGranularity StrEnum so the key stays pure data without an enum import at the keys layer. TimeTruncKey added to the ValueKey union so binders and planners that dispatch on isinstance(key, ValueKey) see it. Dormant — no engine wiring yet. Stage 7b.3b adds bind_time_dimension + planner integration; 7b.3c adds main-TD resolution and date_range -> filter conversion. 12 new tests in tests/test_time_trunc_key.py cover construction, identity (same / different grain / different column / cross-model path), phase=ROW, frozen-immutability, and ValueKey union membership. Full unit suite green (3401 passed, 2 skipped); ruff clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Wires SlayerQuery.time_dimensions through to TimeTruncKey slots in the
new pipeline.
New: bind_time_dimension(td, scope, bundle) in slayer/engine/binding.py.
Resolves the underlying column via the existing identifier / dotted-ref
binders, validates it's a base ColumnKey with a temporal (DATE/TIMESTAMP)
type, and returns a BoundExpr whose value_key is
TimeTruncKey(column, granularity). Derived Column.sql temporal columns
(which would resolve to ColumnSqlKey) raise NotImplementedError with a
clear message — TimeTruncKey.column is typed as ColumnKey and widening
it is deferred to a follow-up. StageSchema scopes raise
IllegalScopeReferenceError (downstream stages see the upstream's
already-truncated column as a flat name).
Planner: TimeTruncKey added to _SLOTTABLE_KIND, _iter_slot_deps, and
_canonical_name. The TimeTruncKey itself is the materialized slot
(generator emits DATE_TRUNC at SELECT time); the inner ColumnKey is NOT
yielded as a separate dep — adding a TD must not auto-add the raw
column as a separate output (matches legacy). Canonical name drops the
granularity suffix to match legacy alias contract
(EnrichedTimeDimension.alias = f"{model}.{td.dimension.full_name}").
ValueRegistry: extended the self-named-dimension exemption to cover a
local TimeTruncKey over a same-named column, so declaring a TD on
created_at doesn't trip MeasureNameCollidesWithColumnError. Joined TDs
flatten through __ paths and so don't collide with host source columns.
stage_planner.plan_query: _declared_measures_from_query now iterates
query.time_dimensions between dimensions and measures (legacy
user_projection order: dims → time dims → measures). Each TD becomes a
DeclaredMeasure with flat declared_name / public_name; label propagates.
Codex review of tests caught 4 findings: added joined-TD label
propagation, multi-hop joined TD coverage (orders → customers →
regions), tightened stage schema membership assertions to exact-match
shape, and explicit derived-Column.sql rejection coverage. Codex review
of impl returned 1 MEDIUM (cross_model_planner TimeTruncKey
classification, deferred to 7b.5 when cross-model TD routing surfaces)
and 2 LOW findings deferred (data_type_bucket reuse would introduce an
import cycle through schema_drift → ingestion → query_engine;
NotImplementedError is acceptable for a documented temporary limit).
26 new tests in tests/test_time_dimensions_planner.py.
3427 unit tests passing, 0 regressions, ruff clean. Integration tests
not run locally.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Two pieces wired into stage_planner.plan_query:
1. ``_build_date_range_filter(td, scope, bundle)`` converts a
TimeDimension's ``date_range=[start, end]`` into a row-phase
BoundFilter whose predicate is ``ArithmeticKey("and", (>=, <=))``
over the BARE underlying ColumnKey. Bound literals normalize via
``normalize_scalar`` (strings pass through). The filter binds to
the raw column, not the TimeTruncKey, so generator slice 7b.11 can
apply it on the outer projection while the shifted self-join CTE
reads unfiltered raw data (legacy edge-period semantics for
time_shift / change / change_pct).
FilterPhase.expression is populated with PlannedBoundExpr for
auto-generated filters (date_range has no user text). User-filter
expression population stays deferred to stage 7b.6
(BoundExpr type unification).
Malformed date_range entries (``[]``, ``[single]``) silently no-op,
matching legacy ``slayer/sql/generator.py:2517``.
2. ``_resolve_main_time_dimension(query, model)`` resolves the active
TD for transform / windowing semantics. 0 TDs → None; 1 TD →
that TD (ignores main_time_dimension, matches legacy); 2+ TDs with
main_time_dimension → match by full_name, fall back to leaf,
ambiguous leaf raises AmbiguousReferenceError, unknown raises
UnknownReferenceError. 2+ TDs with model.default_time_dimension →
leaf match restricted to host-local TDs (legacy
``_resolve_time_alias`` returns f"{model}.{default}" so the joined
case is never selected through that path). Neither → None.
Codex review of impl caught two MEDIUM findings folded in here:
ambiguous-leaf matches now raise AmbiguousReferenceError listing both
candidates rather than returning by query order; default_time_dimension
matching restricts to host-local TDs to preserve legacy alias
semantics.
snap_to_whole_periods ownership stays with SlayerQuery's existing
method called pre-normalization in query_engine._execute_pipeline:595;
the planner consumes already-snapped queries and never re-snaps.
25 new tests in tests/test_time_dimensions_filters.py covering:
helper resolution (0/1/multi TDs, full-name vs leaf precedence,
ambiguity, default-host-vs-joined, unknown default no-op);
date_range filter shape (AND-of-comparisons, row-phase, expression
populated, binds raw ColumnKey not TimeTruncKey, hidden raw-column
slot materialized, joined TD path-bearing); malformed date_range
emits no filter; multiple TDs each emit their own filter; user
filters + date_range coexist with date_range last.
3452 unit tests passing, 0 regressions, ruff clean.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Three changes:
1. Per-op binder validation in slayer/engine/binding.py:_bind_transform.
New _TRANSFORM_KWARG_RULES whitelist per op (partition_by is
special-cased and accepted everywhere it makes sense). ntile
requires positive integer n (rejects bool, float-with-fractional,
negative, zero); time_shift requires periods; lag/lead default
periods=normalize_scalar(1) when missing. Transforms take exactly
one positional argument (the value); anything else raises forcing
the kwarg form (e.g. ``lag(value, periods=2)`` instead of
``lag(value, 2)``). New _fold_to_scalar helper folds Literal and
UnaryOp(-, Literal) into normalised scalars; non-scalar shapes raise
(TransformKey.kwargs only accepts Scalar, not arbitrary ValueKey).
2. _iter_slot_deps in slayer/engine/planning.py now walks
TransformKey.partition_keys and TransformKey.time_key so partition
columns and time-key columns surface as slot deps. The
ProjectionPlanner now walks measure deps too and interns them as
hidden slots, materialising inner aggregates / partition columns /
time-key columns for the generator to consume.
3. New lower_sugar_transforms(value_key) -> value_key recursive walker
in planning.py. Replaces TransformKey(op="change"|"change_pct") with
the desugared arithmetic form, preserving inner aggregate identity
(DEV-1446). Wired into stage_planner._declared_measures_from_query.
desugar_change / desugar_change_pct now set
kwargs=(("periods", normalize_scalar(-1)),) on the produced
time_shift TransformKey, matching the new typed invariant that
time_shift requires explicit periods.
4. New _emit_transform_layers in stage_planner — one TransformLayer
per TransformKey slot in topological dependency order (Kahn's
algorithm). Nested transforms like ``cumsum(change(amount:sum))``
emit the inner time_shift layer before the outer cumsum layer; the
generator slices can render windows / self-joins in the right order
without re-walking. Per-slot transform metadata (partition_keys /
time_key / args / kwargs) lives on the slot's TransformKey so
TransformLayer stays minimal.
Codex review caught: positional-args ambiguity (now rejected), missing
periods in desugar output (now -1 explicitly), and op-grouping
collapsing nested same-op layers (now per-slot topological).
Deferred: partition_by=[list, of, cols] parser syntax (Mode-B parser
extension scope); consecutive_periods.period value validation (defer
until generator slice 7b.11 consumes it).
29 new tests in tests/test_transforms_planner.py covering per-op
validation (ntile.n positive int + bool reject + integer-only;
time_shift periods required; lag default; unknown kwargs on rank-family
+ consecutive_periods; positional-arg rejection); transform aux slot
materialisation (single + multi partition keys, time_key
ColumnKey/TimeTruncKey); transform_layers population (per-slot, topo
order, no op-grouping); change → time_shift lowering identity
preservation (DEV-1446 nested-transform dedup).
3481 unit tests passing, 0 regressions, ruff clean.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Wires the dormant IsolatedCteCrossModelPlanner into plan_query. 1. New filter_referenced_slot_ids(bound_filter, registry) -> set[SlotId] in slayer/engine/planning.py. Walks _iter_slot_deps and looks each slottable key up in the registry. Codex HIGH #3/#4 fold-in: does not mutate BoundFilter.referenced_keys (those are pre-interning ValueKeys); does walk composite predicates so "rev >= 100 AND customers.revenue:sum < 500" resolves both leaves. Silently skips literals and other non-slottable refs. 2. stage_planner.plan_query now, after filters_by_phase is built, constructs HostFilterRouting records (with referenced_slot_ids sorted for deterministic plan snapshots — Codex LOW #3 fold-in) and iterates aggregate slots. For every AggregateKey slot whose source.path is non-empty, invokes cross_model_planner.plan() with the host_slots + host_filter_routings + slot.public_name + slot.hidden, and appends the resulting CrossModelAggregatePlan to PlannedQuery.cross_model_aggregate_plans. 3. cross_model_planner._aggregate_alias now uses slayer.core.refs.canonical_agg_name so parameterised aggregates (revenue:percentile(p=0.5) vs p=0.95) get distinct CTE column aliases (Codex HIGH #1 fold-in). Test exercises this with two percentile aggregates. Deferred to follow-ups: - Cross-model aggregates with column-valued kwargs (weighted_avg / corr crossing a join) — the host-local column ref can't be evaluated inside the customers CTE. Known limitation; documented for a follow-up issue. (Codex HIGH #2 in the impl review.) - FilterPhase.text / HostFilterRouting.text population for user filters — depends on the BoundExpr unification in stage 7b.6. 12 new tests in tests/test_cross_model_planner_wiring.py covering filter_referenced_slot_ids (simple column, composite predicate, no composite-only nodes in result, unknown slot silently skipped); plan_query wiring (local agg → no plan; cross-model agg → emits plan with target_model/datasource; aggregate_slot_id matches the slot; two distinct aggregates emit separate plans; parameterised aggs get distinct CTE aliases; local filter → DROP_HOST_LOCAL → no propagation; target model filters propagate); classify_host_filter exercise. 3493 unit tests passing, 0 regressions, ruff clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
slayer.engine.planned.BoundExpr was a separate Pydantic class with an optional sql_text cache; slayer.engine.binding.BoundExpr was the binder's typed output. Two classes meant ValueSlot.expression and FilterPhase.expression couldn't carry the binder's payload without type widening or a side adapter (Codex HIGH F2 in the earlier round). Unification: 1. slayer.engine.planned now re-exports slayer.engine.binding.BoundExpr as ``BoundExpr``. Single canonical class going forward. 2. The render-artifact ``sql_text`` field is dropped. Generator slices render from the typed value_key against the slot registry, not a cached string. The branch-new tests/test_planned.py:127 ``test_with_expression_payload`` is updated to assert against the value_key shape instead of sql_text. 3. ValueRegistry.intern now accepts an optional ``expression`` argument; ValueSlot.expression is populated for every materialised slot (public AND hidden) — auto-defaulted to BoundExpr(value_key=key) when no explicit binder output is passed. 4. stage_planner.plan_query now populates FilterPhase.expression for EVERY filter (user-supplied AND auto-generated date_range), so the SQL generator can render filters without re-parsing or consulting a side map. The previous auto_filter_ids tracking is removed (always-populate is simpler and matches the unification goal). 7 new tests in tests/test_boundexpr_unification.py covering: the type re-export identity; ValueSlot.expression populated for measures, dimensions, AND hidden filter-dep slots; FilterPhase.expression populated for user filters AND aggregate-phase (HAVING) filters; the expression's value_key matches the slot's / filter's key identity. 3500 unit tests passing, 0 regressions, ruff clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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📝 WalkthroughWalkthroughAdds a typed resolution pipeline: typed keys/phases, Mode‑B parser and Mode‑A SQL canonicalizer, measure expansion, binder, projection/planning (ValueRegistry, ProjectionPlanner), cross‑model planning, source‑bundle builder, normalization rules, engine wiring, response metadata, sync derived‑column expander, structured errors/warnings, docs, and extensive tests. ChangesDEV-1450 Typed Pipeline and Planning
Sequence Diagram(s)sequenceDiagram
rect rgba(102, 153, 255, 0.5)
participant Client
participant Engine
end
rect rgba(153, 204, 255, 0.5)
participant Storage
participant SourceBundle
end
rect rgba(204, 255, 204, 0.5)
participant Parser
participant Binder
participant Planner
end
rect rgba(255, 204, 153, 0.5)
participant SQLGen
participant DB
end
Client->>Engine: execute(query)
Engine->>Storage: build_resolved_source_bundle
Storage-->>Engine: models
Engine->>Parser: normalize + parse
Parser-->>Engine: ParsedExpr
Engine->>Binder: bind_expr/bind_filter/bind_time_dimension
Binder-->>Engine: BoundExpr/BoundFilter
Engine->>Planner: plan_query/plan_stages
Planner-->>Engine: PlannedQuery
Engine->>SQLGen: generate_from_planned
SQLGen->>DB: run SQL
DB-->>Engine: rows
Engine-->>Client: SlayerResponse + warnings
Estimated code review effort🎯 5 (Critical) | ⏱️ ~120 minutes Possibly related PRs
Suggested reviewers
Poem
✨ Finishing Touches🧪 Generate unit tests (beta)
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Actionable comments posted: 6
🧹 Nitpick comments (8)
tests/test_time_trunc_key.py (1)
109-112: ⚡ Quick winSpecify the exact exception type for frozen instance mutation.
The test uses
pytest.raises(Exception)which is too broad. Specify the exact exception type that's raised when attempting to mutate a frozen Pydantic model or dataclass field (typicallyValidationErrorfor Pydantic v2 orFrozenInstanceErrorfor frozen dataclasses).♻️ Proposed fix to specify exception type
+from pydantic import ValidationError + class TestTimeTruncKeyImmutability: def test_is_frozen(self) -> None: k = TimeTruncKey(column=ColumnKey(leaf="ordered_at"), granularity="month") - with pytest.raises(Exception): + with pytest.raises(ValidationError): k.granularity = "day" # type: ignore[misc]Note: Use
ValidationErrorifTimeTruncKeyis a Pydantic model, ordataclasses.FrozenInstanceErrorif it's a frozen dataclass.🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@tests/test_time_trunc_key.py` around lines 109 - 112, The test test_is_frozen should assert the specific exception type instead of pytest.raises(Exception): replace the broad Exception with the concrete exception thrown when mutating a frozen TimeTruncKey (use pydantic.errors.ValidationError / pydantic.ValidationError if TimeTruncKey is a Pydantic model, or dataclasses.FrozenInstanceError if it is a frozen dataclass), update the test import(s) accordingly, and keep the mutating line k.granularity = "day" and references to TimeTruncKey and ColumnKey unchanged.slayer/engine/path_resolution.py (1)
75-75: ⚡ Quick winPrefer more specific type annotation.
The
nqvariable is assigned a dict value, sonq: dict[str, Any]would be clearer thannq: Any.♻️ Suggested improvement
- nq: Any = named_queries if named_queries is not None else {} + nq: dict[str, Any] = named_queries if named_queries is not None else {}🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@slayer/engine/path_resolution.py` at line 75, The local variable `nq` is annotated too broadly as `Any`; change its annotation to a more specific mapping type (e.g., `dict[str, Any]`) so callers and linters know it holds a dict produced from `named_queries`. Update the assignment `nq: Any = named_queries if named_queries is not None else {}` to use `nq: dict[str, Any] = ...` (or use `cast(dict[str, Any], named_queries)` if necessary) and ensure `typing` imports include `Any`/`dict` typing forms compatible with the project's Python version.tests/test_path_resolution.py (1)
27-34: 💤 Low valueConsider using keyword arguments consistently in test calls.
The
_make_modelhelper has 2 parameters. Per coding guidelines, functions with more than 1 parameter should be called using keyword arguments. Several calls use positional arguments (e.g., lines 160, 175, 191).Example:
# Current return _make_model(model_name) # Preferred per guideline return _make_model(name=model_name)As per coding guidelines: "Use keyword arguments for functions with more than 1 parameter"
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@tests/test_path_resolution.py` around lines 27 - 34, The test helper _make_model accepts parameters (name, joins=None) but several test calls use positional args; update all usages to use keyword arguments per guideline: call _make_model(name=..., joins=...) instead of positional calls (e.g., replace _make_model(model_name) with _make_model(name=model_name) and any two-argument positional calls with explicit joins=...), locating usages by the function name _make_model in the tests and editing each call.tests/test_source_bundle.py (1)
20-29: 💤 Low valueConsider using keyword arguments consistently in test calls.
The
_modelhelper has 2 parameters. Per coding guidelines, functions with more than 1 parameter should be called using keyword arguments for clarity. Multiple calls throughout this file use positional arguments (e.g., lines 39, 49, 50, 56, 64, 74, 83, etc.).Example:
# Current m = _model("orders") m = _model("orders", ds="warehouse") # Preferred per guideline m = _model(name="orders") m = _model(name="orders", ds="warehouse")As per coding guidelines: "Use keyword arguments for functions with more than 1 parameter"
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@tests/test_source_bundle.py` around lines 20 - 29, The test helper _model(name: str, ds: str = "prod") is being invoked with positional arguments in multiple places; update all calls to use keyword arguments (e.g., _model(name="orders") or _model(name="orders", ds="warehouse")) so they follow the guideline for functions with more than one parameter; search for usages of _model in tests/test_source_bundle.py and replace positional invocations with keyword form, leaving the SlayerModel construction (and related Column/DataType references) unchanged.tests/test_boundexpr_unification.py (1)
161-161: ⚡ Quick winMove function-local imports to module scope.
Line 161 and Line 177 import inside test methods; this violates the repo rule to keep imports at the top of the file.
Suggested diff
from slayer.core.enums import DataType -from slayer.core.keys import AggregateKey, ColumnKey +from slayer.core.keys import AggregateKey, ArithmeticKey, ColumnKey from slayer.core.models import Column, SlayerModel from slayer.core.query import SlayerQuery from slayer.engine.binding import BoundExpr as BinderBoundExpr +from slayer.engine.binding import walk_value_keys from slayer.engine.planned import BoundExpr as PlannedBoundExpr from slayer.engine.source_bundle import ResolvedSourceBundle from slayer.engine.stage_planner import plan_query @@ - from slayer.core.keys import ArithmeticKey assert isinstance(fp.expression.value_key, ArithmeticKey) @@ - from slayer.engine.binding import walk_value_keys keys = list(walk_value_keys(fp.expression.value_key))As per coding guidelines: "
**/*.py: Place imports at the top of files".Also applies to: 177-177
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@tests/test_boundexpr_unification.py` at line 161, Move the function-local imports to module scope: remove the in-test import of ArithmeticKey (from slayer.core.keys) and any other imports currently performed inside test functions and place them at the top of tests/test_boundexpr_unification.py; update the module-level import section to include "from slayer.core.keys import ArithmeticKey" (and any other symbols currently imported inside tests) so tests reference those symbols without local imports.tests/test_slack_normalization.py (2)
249-257: ⚡ Quick winAvoid
run_until_completein pytest async suites.The fixture manually drives the loop; this is fragile when a loop is already managed by pytest-asyncio. Prefer an async fixture and
awaitthe setup calls directly.As per coding guidelines "
**/tests/**/*.py: Tests must usepytest-asynciowithasyncio_mode = \"auto\"so test functions can beasync defandawaitdirectly."🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@tests/test_slack_normalization.py` around lines 249 - 257, The test uses asyncio.get_event_loop().run_until_complete to call storage.save_datasource and storage.save_model, which conflicts with pytest-asyncio-managed loops; change the fixture to be async (make the fixture function async def) and replace those run_until_complete calls with direct awaits: await storage.save_datasource(DatasourceConfig(...)) and await storage.save_model(_orders()), ensuring the fixture yields/returns as before so pytest-asyncio (asyncio_mode="auto") manages the event loop correctly.
225-229: ⚡ Quick winMove test imports to module scope.
These in-function imports make the test module inconsistent with repo style and harder to scan. Please hoist them to the top-level import block.
As per coding guidelines "
**/*.py: Place imports at the top of files."Also applies to: 249-257, 263-271, 287-295, 314-318, 343-351
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@tests/test_slack_normalization.py` around lines 225 - 229, Several tests in test_slack_normalization.py contain in-function imports (e.g., DatasourceConfig, SlayerQueryEngine, YAMLStorage, sqlite3) — hoist these imports to the module-level import block at the top of the file, remove the now-redundant local imports inside the test functions, and consolidate/organize them with the existing top imports; repeat this change for the other in-function import sites flagged (around the commented ranges) to comply with the project import style and keep test-scoped symbols available to all functions.tests/test_dot_path_in_sql.py (1)
474-474: ⚡ Quick winHoist local imports to the module import section.
These test-local imports should be moved to top-level to match project conventions.
As per coding guidelines "
**/*.py: Place imports at the top of files."Also applies to: 489-490
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@tests/test_dot_path_in_sql.py` at line 474, The test contains local imports (e.g., "from slayer.core.models import ModelMeasure" and the other imports around the later test block) that should be hoisted to the module-level import section; move these local imports to the top of the file with the other imports, remove the in-function/local import statements, and run the tests to ensure no circular import issues—if a circular dependency appears, refactor the import to a lazy import helper or import only the needed attribute at top-level.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@slayer/engine/binding.py`:
- Around line 155-156: The call to _bind uses a positional first argument;
change it to use keyword arguments for all parameters (e.g.,
_bind(parsed=parsed, scope=scope, bundle=bundle, in_filter=False)) and update
every other _bind invocation in this module (including the ones around the other
mentioned call sites) to the same keyword style so it conforms to the repo rule;
keep the surrounding return (BoundExpr(value_key=...)) unchanged.
In `@slayer/engine/syntax.py`:
- Around line 180-188: The current check uses _OVER_RE.search(text) and flags
any "OVER(" even when inside string literals (e.g. "status == 'OVER('"); change
the check to ignore matches inside quotes by scanning text
character-by-character tracking single-quote, double-quote, and escape state and
only applying _OVER_RE when not inside a quoted string, then raise
IllegalWindowInFilterError(filter_expr=text, source=..., suggestion=...) as
before; update the code path that currently calls _OVER_RE.search(text) (the
block raising IllegalWindowInFilterError) so it uses the new quote-aware
detection routine on the variable text.
- Around line 409-412: The code silently ignores keyword unpacking (**kwargs)
because the comprehension in _convert_call filters out ast.keyword entries with
arg is None; update _convert_call to detect any kw in node.keywords with kw.arg
is None and raise a clear error (e.g., ValueError or a parsing-specific
exception) rejecting **kwargs in Mode-B call parsing instead of dropping them,
then proceed to build kwargs by converting remaining keywords via _convert;
reference node.keywords, _convert_call, and _convert when implementing the check
and error raise.
In `@tests/test_agg_registry.py`:
- Around line 62-64: Update the test calls in tests/test_agg_registry.py to use
keyword arguments instead of positional arguments for helper functions with more
than one parameter: change calls to collect_reachable_agg_names(...),
resolve_aggregation(...), merge_agg_params(...), and any other multi-parameter
helper invocations (including the occurrences at lines noted in the comment) so
that each argument is passed as param_name=value (e.g., m=...,
resolve_join_target=..., named_queries=...) rather than by position; ensure you
update all instances mentioned (around the ranges 62-64, 79-81, 99-101, 117,
177, 183, 230, 238, 247, 257, 264) and run tests to confirm no signature
mismatches.
In `@tests/test_binding.py`:
- Around line 145-147: Update all calls to bind_expr and bind_filter (and
similar multi-parameter helpers) to pass the parsed expression/result as a
keyword instead of a positional first argument; e.g., replace
bind_expr(parse_expr("amount"), scope=_scope(), bundle=_bundle()) with a keyword
form like bind_expr(parsed=parse_expr("amount"), scope=_scope(),
bundle=_bundle()) (and do the same for bind_filter), applying this change at
every location listed in the comment so all multi-parameter calls use keyword
arguments for clarity and to follow the repository standard.
In `@tests/test_stage_planner.py`:
- Around line 203-220: The test test_stages_in_dependency_order currently
constructs stage1 and stage2 but passes them to plan_stages in dependency order,
so it doesn't verify reordering; update the test to pass stages in reverse order
(pass stage2 then stage1) to force the planner to reorder, and add an assertion
that the planned result is topologically correct (e.g., check planned[0].name ==
"stage1" and planned[1].name == "stage2" or equivalent checks on the planned
stages returned by plan_stages) so the test fails if plan_stages does not
reorder dependencies; references: test_stages_in_dependency_order, plan_stages,
SlayerQuery, planned.
---
Nitpick comments:
In `@slayer/engine/path_resolution.py`:
- Line 75: The local variable `nq` is annotated too broadly as `Any`; change its
annotation to a more specific mapping type (e.g., `dict[str, Any]`) so callers
and linters know it holds a dict produced from `named_queries`. Update the
assignment `nq: Any = named_queries if named_queries is not None else {}` to use
`nq: dict[str, Any] = ...` (or use `cast(dict[str, Any], named_queries)` if
necessary) and ensure `typing` imports include `Any`/`dict` typing forms
compatible with the project's Python version.
In `@tests/test_boundexpr_unification.py`:
- Line 161: Move the function-local imports to module scope: remove the in-test
import of ArithmeticKey (from slayer.core.keys) and any other imports currently
performed inside test functions and place them at the top of
tests/test_boundexpr_unification.py; update the module-level import section to
include "from slayer.core.keys import ArithmeticKey" (and any other symbols
currently imported inside tests) so tests reference those symbols without local
imports.
In `@tests/test_dot_path_in_sql.py`:
- Line 474: The test contains local imports (e.g., "from slayer.core.models
import ModelMeasure" and the other imports around the later test block) that
should be hoisted to the module-level import section; move these local imports
to the top of the file with the other imports, remove the in-function/local
import statements, and run the tests to ensure no circular import issues—if a
circular dependency appears, refactor the import to a lazy import helper or
import only the needed attribute at top-level.
In `@tests/test_path_resolution.py`:
- Around line 27-34: The test helper _make_model accepts parameters (name,
joins=None) but several test calls use positional args; update all usages to use
keyword arguments per guideline: call _make_model(name=..., joins=...) instead
of positional calls (e.g., replace _make_model(model_name) with
_make_model(name=model_name) and any two-argument positional calls with explicit
joins=...), locating usages by the function name _make_model in the tests and
editing each call.
In `@tests/test_slack_normalization.py`:
- Around line 249-257: The test uses asyncio.get_event_loop().run_until_complete
to call storage.save_datasource and storage.save_model, which conflicts with
pytest-asyncio-managed loops; change the fixture to be async (make the fixture
function async def) and replace those run_until_complete calls with direct
awaits: await storage.save_datasource(DatasourceConfig(...)) and await
storage.save_model(_orders()), ensuring the fixture yields/returns as before so
pytest-asyncio (asyncio_mode="auto") manages the event loop correctly.
- Around line 225-229: Several tests in test_slack_normalization.py contain
in-function imports (e.g., DatasourceConfig, SlayerQueryEngine, YAMLStorage,
sqlite3) — hoist these imports to the module-level import block at the top of
the file, remove the now-redundant local imports inside the test functions, and
consolidate/organize them with the existing top imports; repeat this change for
the other in-function import sites flagged (around the commented ranges) to
comply with the project import style and keep test-scoped symbols available to
all functions.
In `@tests/test_source_bundle.py`:
- Around line 20-29: The test helper _model(name: str, ds: str = "prod") is
being invoked with positional arguments in multiple places; update all calls to
use keyword arguments (e.g., _model(name="orders") or _model(name="orders",
ds="warehouse")) so they follow the guideline for functions with more than one
parameter; search for usages of _model in tests/test_source_bundle.py and
replace positional invocations with keyword form, leaving the SlayerModel
construction (and related Column/DataType references) unchanged.
In `@tests/test_time_trunc_key.py`:
- Around line 109-112: The test test_is_frozen should assert the specific
exception type instead of pytest.raises(Exception): replace the broad Exception
with the concrete exception thrown when mutating a frozen TimeTruncKey (use
pydantic.errors.ValidationError / pydantic.ValidationError if TimeTruncKey is a
Pydantic model, or dataclasses.FrozenInstanceError if it is a frozen dataclass),
update the test import(s) accordingly, and keep the mutating line k.granularity
= "day" and references to TimeTruncKey and ColumnKey unchanged.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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📒 Files selected for processing (43)
slayer/core/errors.pyslayer/core/keys.pyslayer/core/scope.pyslayer/core/warnings.pyslayer/engine/agg_registry.pyslayer/engine/binding.pyslayer/engine/cross_model_planner.pyslayer/engine/measure_expansion.pyslayer/engine/normalization.pyslayer/engine/path_resolution.pyslayer/engine/planned.pyslayer/engine/planning.pyslayer/engine/query_engine.pyslayer/engine/source_bundle.pyslayer/engine/stage_planner.pyslayer/engine/syntax.pyslayer/engine/variables.pyslayer/sql/sql_expr.pytests/test_agg_registry.pytests/test_binding.pytests/test_boundexpr_unification.pytests/test_cross_model_planner.pytests/test_cross_model_planner_wiring.pytests/test_dot_path_in_sql.pytests/test_error_messages.pytests/test_keys.pytests/test_model_measure_expansion.pytests/test_path_resolution.pytests/test_planned.pytests/test_projection_planner.pytests/test_scope_schema.pytests/test_slack_normalization.pytests/test_source_bundle.pytests/test_sql_expr.pytests/test_stage_planner.pytests/test_syntax.pytests/test_time_dimensions_filters.pytests/test_time_dimensions_planner.pytests/test_time_trunc_key.pytests/test_transform_lowerer.pytests/test_transforms_planner.pytests/test_value_registry.pytests/test_variables_planner.py
| result = await collect_reachable_agg_names( | ||
| m, resolve_join_target, named_queries={}, | ||
| ) |
There was a problem hiding this comment.
🛠️ Refactor suggestion | 🟠 Major | ⚡ Quick win
Convert multi-parameter helper calls to keyword arguments.
Several calls use positional arguments for functions with multiple parameters (for example collect_reachable_agg_names(...), resolve_aggregation(...), merge_agg_params(...)). Please convert these to keyword style throughout this test module.
As per coding guidelines: **/*.py: Use keyword arguments for functions with more than 1 parameter.
Also applies to: 79-81, 99-101, 117-117, 177-177, 183-183, 230-230, 238-238, 247-247, 257-257, 264-264
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@tests/test_agg_registry.py` around lines 62 - 64, Update the test calls in
tests/test_agg_registry.py to use keyword arguments instead of positional
arguments for helper functions with more than one parameter: change calls to
collect_reachable_agg_names(...), resolve_aggregation(...),
merge_agg_params(...), and any other multi-parameter helper invocations
(including the occurrences at lines noted in the comment) so that each argument
is passed as param_name=value (e.g., m=..., resolve_join_target=...,
named_queries=...) rather than by position; ensure you update all instances
mentioned (around the ranges 62-64, 79-81, 99-101, 117, 177, 183, 230, 238, 247,
257, 264) and run tests to confirm no signature mismatches.
Original scope was a slayer/sql/parity_adapter.py mapping PlannedQuery
back to EnrichedQuery so the legacy SQLGenerator could render it as the
oracle for upcoming generator slices (7b.8-7b.13). A closer read of
slayer/engine/enrichment.py (2300 lines of resolution logic --
derived-column expansion, alias provenance, filter classification,
cross-model rerooting) made it clear that a faithful adapter would
duplicate the bulk of that file in throwaway test-only code, on top of
code already destined for deletion at end of 7b.15.
Pivot: drop the adapter entirely. Each upcoming slice writes parity
tests of the shape
legacy = await legacy_sql_for(engine, model, q)
new = generate_from_planned(plan_query(q, bundle), dialect=...)
assert_sql_equivalent(legacy, new)
This stage lands the shared helpers each slice imports:
* tests/parity_oracle.py
- legacy_sql_for(engine, model, query, named_queries=, dialect=)
routes through engine._enrich + SQLGenerator.generate, the
production legacy code path.
- assert_sql_equivalent(legacy, new) does whitespace-canonical
comparison with a token-level unified-diff on mismatch.
- norm_sql(sql) collapses runs of whitespace.
- build_storage_with_models(tmp_path, *models) seeds a YAMLStorage.
* tests/test_parity_oracle.py
- 9 smoke tests covering norm_sql, assert_sql_equivalent
(pass-on-whitespace-diff, raise-on-real-diff, pass-on-identity),
legacy_sql_for non-empty output, deterministic re-runs, and
joined-dim rendering through the helper.
Codex impl-review fold-ins:
* HIGH: legacy_sql_for now accepts named_queries= so multi-stage and
cross-model parity (where production passes a name -> SlayerQuery
map) works through the helper.
* MEDIUM: legacy_sql_for accepts an optional dialect= and threads it
through to both _enrich and SQLGenerator(dialect=...) so non-postgres
parity is on the table for later slices.
* MEDIUM: build_storage_with_models docstring rewritten to reflect
that save-time join-target validation is permissive, so order is a
convention not a requirement.
Plan amendments (in /home/james/.claude/plans/):
* read-the-linear-issue-mutable-crane.md - 7b.7 redefined as "parity
oracle test helpers"; 7b.8-7b.13 slice descriptions updated to
reference legacy_sql_for directly; 7b.15 safe-deletes list swaps
slayer/sql/parity_adapter.py for tests/parity_oracle.py +
tests/test_parity_oracle.py.
3509 unit tests passing, 0 regressions across the suite, ruff clean.
The legacy /enriched code path stays untouched; this commit only adds
test-side helpers.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
First SQL-generator slice on the typed pipeline. Adds `SQLGenerator.generate_from_planned(planned_query, *, bundle)` plus module-level `generate_from_planned(planned_query, *, bundle, dialect)` shim alongside the legacy `generate()` path. Mirrors the local-only branch of `_generate_base` but reads typed `PlannedQuery` fields (`row_slots` / `aggregate_slots` / `filters_by_phase` / `order`) instead of `EnrichedQuery`, and reuses legacy dialect helpers (`_resolve_sql` / `_build_agg` / `_wrap_cast_for_type` / `_parse_predicate` / `_apply_order_limit`) via a synthetic- `EnrichedMeasure` adapter so dialect parity holds with one emission codebase. Scope: single-model queries with row-phase dims, local aggregates, Mode-B row filters (`status == 'paid'`), ORDER BY a declared measure/dim alias, LIMIT/OFFSET, and dim-only deduplication. Cross-model, time dimensions, transforms, HAVING-phase filters, `column_filter_key`, hidden ORDER BY targets, and `*:<non-count>` all raise `NotImplementedError` with an explicit `DEV-1450 stage 7b.9+`/`7b.10+`/`7b.12` marker so silent SQL parity drift is impossible. Two planner-side gap fixes flagged in the 7b.7 checkpoint: * ORDER BY resolution against declared-measure aliases — new `(public_name, declared_name, canonical_alias) -> bound` map built from declared measures; order pass checks it before falling back to `bind_expr` (aggregate canonical aliases like `amount_sum` aren't columns, so the binder would have raised). * Pre-bind `ModelMeasure` expansion wired into `_declared_measures_from_query` via `expand_model_measures` (gated on `ModelScope` with a non-None `source_model` — downstream StageSchema stages don't expose saved measures). Tests (branch-new `tests/test_generator2_local.py`): * 13 parametrised parity fixtures + 5-dialect smoke (postgres, sqlite, duckdb, mysql, clickhouse) — each asserts `assert_sql_equivalent(legacy_sql_for(...), generate_from_planned(...))` via the 7b.7 parity oracle. * Regression tests for the four 7b.7-checkpoint planner gaps: ORDER BY canonical alias, `ModelMeasure` expansion, `column_filter_key` rejection (hand-built + xfail for the real planner-path gap), and multi-alias same-key (no-parity, direct shape assertion). * DEV-1443 collision invariants preserved. Codex review fold-ins (two rounds): * test review: ORDER BY without LIMIT case; `count_distinct` + GROUP BY case; column_filter_key xfail covering the real planner gap rather than only the hand-built guard. * impl review round 1: model.filters defer guard (HIGH); `cross_model_aggregate_plans` upfront guard (MEDIUM); unary minus handling in `_build_arithmetic_for_filter` (MEDIUM); custom/parameterised aggregations defer through new `_BUILTIN_BAREARG_AGGS_LOCAL_SLICE` constant (LOW). * impl review round 2: `*:<non-count>` rejection in synthetic measure adapter (MEDIUM); hidden ORDER BY slot defer (MEDIUM). 3533 unit tests pass (24 new + 1 xfailed for the deferred Column.filter planner gap), 0 regressions. Ruff clean. Integration tests not run locally. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Extends generate_from_planned to render TimeTruncKey row-phase slots via _build_date_trunc (Postgres/DuckDB/MySQL/ClickHouse DATE_TRUNC, SQLite STRFTIME), and folds SlayerModel.filters (Mode-A SQL always-applied WHERE) into the same entry point with legacy WHERE ordering (date_range -> model.filters -> query.filters). Introduces BetweenKey, a typed value-key for col BETWEEN low AND high. The planner's _build_date_range_filter switches from ArithmeticKey(and, [GE, LE]) to BetweenKey, closing the syntactic parity gap with legacy generator.py:2533 (which emits BETWEEN). User- written `col >= a and col <= b` stays as ArithmeticKey -- the DSL parser never produces BetweenKey, so user-filter parity is preserved. stage_planner._validate_model_filter validates each entry via parse_sql_predicate (rejects DSL constructs, raw OVER), rejects refs to measures (enrichment.py:1147 parity), rejects refs to windowed columns (enrichment.py:1205 parity), and rejects refs to non-trivial derived Column.sql columns (deferred to follow-up; trivial-base columns per _is_trivial_base pass through). Filter is emitted as a text-only FilterPhase with text_columns extracted from ParsedFilter; the new _qualify_mode_a_sql_filter in the generator regex-prepends <source_relation>. to each bare-identifier ref, bit-identical to legacy _build_where_and_having:2566-2580. Test count: 3582 (+49 over 7b.8). 48 tests in tests/test_generator2_time_dims.py cover the granularity sweep (PG + SQLite, 8 each), TD + measures, date_range, multi-TD disambiguation, ORDER-BY-on-TD, model.filters with all rejection variants, whole_periods_only pre-snap integration, dialect cycle smoke, and round-2/round-3 codex regression cases. 1 trivial-base regression test pins _is_trivial_base parity. 7b.3c filter shape tests in tests/test_time_dimensions_filters.py updated to the new BetweenKey shape and user-filter-ordering invariant. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Renders cumsum / lag / lead / rank / percent_rank / dense_rank / ntile / first / last through generate_from_planned via a Kahn-batched step CTE chain wrapped in an outer SELECT (legacy _generate_with_computed shape). Auto-partition by query dimensions only (not TDs); rank-family defaults to no PARTITION BY. POST-phase filters route through a _filtered wrapper between the chain and pagination. Planner side now attaches the active TD as TransformKey.time_key for every time-needing transform (cumsum / lag / lead / first / last / time_shift / consecutive_periods / change / change_pct), closing the 7b.4 carry-over gap. Lowering of change / change_pct runs after the patch so the desugared time_shift inherits the resolved time_key. Validation mirrors legacy enrichment.py:564 -- any unresolved time-needing transform raises "requires an unambiguous time dimension". PlannedQuery gains active_time_dimension_slot_id so the generator can look up the TD slot's alias without re-walking the model graph. time_shift / consecutive_periods / change(lowered) raise NotImplementedError with "7b.11" markers; composite transform inputs (e.g., cumsum(amount:sum / qty:sum)) raise with a follow-up marker. Codex impl-review folded in: list-per-slot alias tracking so duplicate public aliases (DEV-1450 C13) survive the CTE chain; strict lag / lead periods validation rejecting bool / non-integral; POST filter operator coverage (= / <> / unary - / n-ary and-or / typed scalar literals); order-only hidden refs materialised in the base CTE; BoundFilter.referenced_keys recomputed after time-key patching. 40 new tests in tests/test_generator2_window.py (38 pass + 1 typed-only skip for a pre-existing 7b.8 ModelMeasure.type gap + 1 covering nested cases). Full unit suite: 3621 passed, 3 skipped, 1 xfailed (+39 / +1 / 0 vs baseline); ruff clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Wire parameterised aggregations (percentile, weighted_avg, corr, covar_*, stddev_*, var_*) through the new-pipeline generator path with parity vs the legacy oracle across Tier-1 dialects, plus log-alias and JSON-extract preservation. - slayer/core/refs.py: add agg_kwarg_canonical_str helper (Decimal/ int/float/str/ColumnKey -> SQL-string; plain-decimal notation; rejects bool/None). - slayer/sql/generator.py: broaden the synth-EnrichedMeasure agg allowlist; drop the kwarg + agg-name deferrals; validate kwarg ColumnKey paths (AggregationNotAllowedError on mismatch); stringify kwargs via the helper; reroot ColumnKey kwargs in the cross-model CTE alongside the source path; route both canonical- alias sites through the helper. - slayer/engine/cross_model_planner.py: route _aggregate_alias args/kwargs through the helper. - slayer/engine/stage_planner.py: parametric-aware _canonical_alias_for_formula via the bound AggregateKey (ColumnSqlKey-safe leaf/column_name lookup). - slayer/engine/planning.py: exempt ColumnSqlKey self-named dimensions from the measure-name collision check. - tests/test_generator2_dialects.py: branch-new dialect-parity suite (local agg matrix, cross-model bare-agg parity, MySQL NotImplementedError parity, log-alias preservation + oracle/tsql fallback edges, sqlite json_extract preservation, time-shift dialect branches, synth-adapter kwarg unit tests, helper unit tests, cross-model parametric structural pins). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Migrate the two best-effort textual reference extractors off the legacy `parse_formula` / `MixedArithmeticField` / FieldSpec machinery onto the new typed Mode-B parser (`parse_expr`) plus a shared `walk_parsed_refs` helper. The `MixedArithmeticField` class stays alive (DEV-1452 deletes it); this stage removes the two production consumers' dependency on it. - syntax.py: add `walk_parsed_refs` — scope-free counterpart to the binder's `walk_value_keys`, yielding Ref/DottedRef/AggCall leaves with descent rules matching the legacy FieldSpec walk (AggCall is a unit; TransformCall descends `input` only; ScalarCall descends args). Also accept list/tuple call kwargs (`partition_by=[a, b]`) so the documented multi-column grammar parses instead of crashing. - schema_drift.py: `_measure_formula_refs` now parses via `parse_expr` and walks `walk_parsed_refs`; bare named-measure refs surface by name and the cascade reaches the underlying column via the dropped-measure set in a later fixed-point pass. Drop the dead `_walk_field_spec_measure_refs` / `_agg_ref_names` / `_bare_measure_names` helpers and the `named_measures` plumbing. - resolver.py: `_formula_aggregated_refs` -> `_formula_entity_tokens` yields entity tokens for `extract_entities_from_query`. - normalization.py: add quiet `func_style_agg_to_colon` so these read-only inspectors rewrite legacy function-style aggs (`sum(x)` -> `x:sum`) before parse without re-surfacing SlayerNormalizationWarning to the user. Branch-new tests: tests/test_schema_drift_typed.py, tests/test_memories_resolver_typed.py. Full unit suite green (3857 passed), ruff clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Storage-facing, read-only builder that assembles the ResolvedSourceBundle the typed pipeline binds against (P11): resolves the source model (str / inline SlayerModel / ModelExtension overlay / dict), walks the join graph transitively to collect every referenced model the binder may hop through, follows the named-sibling chain to the real base model for multi-stage DAGs, merges variable layers (runtime > stage > outer > model defaults), and records the datasource hint. Mirrors the legacy engine helpers (_resolve_query_model overlay, _expand_join_graph, _merge_query_variables) without ContextVars or callback re-resolution. Sibling sources resolve overlay-aware so an extension-added join on a sibling stage is walked; sibling-chain cycles raise; join-graph walk is scoped by the model's own data_source. Branch-new tests/test_source_bundle_builder.py. Full unit suite: 3877 passed, 3 skipped, 4 xfailed; ruff clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…xfails Closes the four strict xfails in tests/test_generator2_cross_model.py: 1. Cross-model dotted-star ``customers.*:count`` — StarKey gains an optional ``path`` (empty = local star, bit-identical; non-empty = cross-model), and a new ``_resolve_dotted_star`` binder helper mirrors ``_resolve_dotted``'s self-prefix strip + join-chain validation so the star routes through the join graph. ``_canonical_alias_for_formula`` keeps the path prefix (``orders.customers._count``). 2. Alias-in-filter binding (DEV-1445/C5) — an optional ``alias_map`` is threaded through ``bind_filter`` → ``_bind`` → ``_resolve_ref`` / ``_bind_scalar`` / ``_bind_transform`` so a filter referencing a declared MEASURE by name (``rev >= 100``) interns onto that slot. Only measure aliases enter the map — dimension / time-dimension names stay raw-column refs so an injected WHERE like ``created_at <= '...'`` (snap_to_whole_periods) still filters the raw column. Filters that bind to the same structural ValueKey dedupe (one HAVING). 3. Cross-model ORDER BY ``customers.revenue:sum`` — the planner order loop tries ``ColumnRef.full_name`` and the preserved ``OrderItem.raw_formula`` so the colon form interns onto the declared cross-model slot. Per-occurrence the alias / colon / dotted forms all bind to one slot (P2). Full unit suite: 3881 passed, 3 skipped (the 4 xfails now pass); ruff clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…ages) Adds the missing piece that turns a ``plan_stages`` List[PlannedQuery] into one SQL string. Each non-root stage becomes a CTE; the root is the outer SELECT carrying the public result keys. - ``generate_planned_stages`` (slayer/sql/generator.py): renders each stage via the existing ``generate_from_planned`` and chains them. A stage whose ``source_relation`` names an upstream sibling renders against a synthetic ``sql_table=<cte>`` model (``_bundle_for_stage`` / ``_synthetic_stage_model``) — no model-graph re-walk, the binding already happened against the upstream StageSchema (P6). ``_stage_rename_wrapper`` flattens each stage's emitted result-key columns (``orders.customers.revenue_sum``) to the flat downstream bind names (``customers__revenue_sum``) BY NAME, derived from the rendered ``named_selects`` — order-independent, so it is correct for joined dimensions (dotted rendered path) and mixed cross-model+local stages (the cross-model renderer emits base before cross-model cols). Stage CTEs are ordered before any the root already emits (sqlglot keys WITH as ``with_``). Fail-fast if rendered columns diverge from the StageSchema. - ``_emit_stage_schema`` (stage_planner): downstream bind name + CTE alias are now ``__``-flattened (``customers.revenue_sum`` -> ``customers__revenue_sum``), matching legacy's virtual-model rename and how dimensions already flatten; ``public_alias`` keeps the dotted result-key form. Raises on flatten collisions. - ``parse_expr`` gains ``allow_dunder`` (default False, preserving P1); the planner sets it True only when binding a downstream stage against a flat StageSchema (DEV-1449 flat refs to ``__`` multi-hop aliases). Branch-new execution-based tests/test_generator2_multistage.py (row-set + result-key parity vs legacy engine.execute([...]); DEV-1448 named measure; DEV-1449 flat-name resolves / dotted-form raises). Full unit suite: 3888 passed, 3 skipped; ruff clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Flip engine.execute onto the typed pipeline (build_resolved_source_bundle -> _expand_query_backed_model -> _normalize_stage -> apply_variables_to_query -> plan_stages -> generate_planned_stages -> build_response_metadata). Legacy _enrich / _query_as_model / SQLGenerator.generate stay reachable (DEV-1452 deletes them); save_model / _validate_and_populate_cache stay on legacy. Closes the 8 remaining unit gaps the prior 7b slices deferred: - Cross-model combined ORDER BY: hidden ORDER-BY-only local aggregates are materialised in _base and referenced by the bare alias (never _base.- qualified), so the outermost ORDER BY carries no inner-CTE qualifier while projected order refs keep legacy parity. - Heterogeneous multi-stage DAGs: each stage now binds against its OWN source model (stage_source_models on the bundle), not the root's. A stage that joins a sibling stage (rendered as a CTE) or a query-backed model (rendered as a subquery) resolves via synthetic models threaded into per-stage bundles (synthetic_model_from_stage_schema / stage_bundle_with_siblings); PlannedQuery carries render_source_model so the generator binds what the planner used. - ModelExtension over a query-backed base: the overlay is recorded in inline_extensions and re-applied AFTER expansion (which derives columns from the backing query and would otherwise drop the overlay's columns). - Query-backed referenced/join-target models expand to sql-mode (threading the enclosing query's variables) so they render as subqueries, not bare tables. - ColumnSqlKey (derived column) usable as a dimension in the base SELECT. Codex review fold-ins: _topo_sort captures ModelExtension/dict-over-sibling edges; stage-source resolution failures raise (no silent fallback to root); query-backed stage sources expand; sibling variable merge uses each stage's own source defaults. Unit suite green (3895 passed, 3 skipped); ruff clean. Integration suites still carry pre-existing deferred-slice gaps (7b.10/7b.12 feature combinations, time_shift positional-arg binding, cross-model HAVING/derived columns) tracked as follow-on cutover work. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
… positional args) Two integration-level cutover gaps the dry-run unit tests didn't expose: - Chain re-aggregation `*:count`: an unnamed `*:<agg>` (StarKey source) whose canonical alias (`_count`) matches an upstream stage column no longer raises MeasureNameCollidesWithColumnError. COUNT(*) reads no column, so `_count` is a structural marker that can't be ambiguous with a same-named source column — this is the legitimate chain re-count (`*:count` over a stage that already projects `_count`). An explicit user name that collides still raises. - time_shift / lag / lead positional args: the binder accepts the documented positional DSL form (`time_shift(x, periods, granularity)`, `lag(x, periods)`, `lead(x, periods)`) by mapping positionals onto their kwarg names; supplying a name both positionally and as a kwarg raises. time_shift gains a `granularity` kwarg, and the generator uses the explicit shift granularity for the calendar offset (falling back to the time dimension's granularity) so a year-shift over a month bucket yields year-over-year. Integration: 37 -> 27 failures (SQLite + DuckDB). Unit suite green (3895); ruff clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…+ ORDER BY count alias) - IllegalWindowInFilterError now multi-inherits ValueError (like the other resolution errors), so pre-existing call sites / tests that catch ValueError for the legacy windowed-filter rejection keep working after the cutover. Its message already carries the rank-family suggestion. - ORDER BY resolution maps the bare ``count`` onto the ``*:count`` alias ``_count`` (the ``*`` is dropped, the leading ``_`` kept as a marker), mirroring the legacy ``_resolve_order_column`` ``_name`` fallback. Integration: 27 -> 22 failures (SQLite + DuckDB). Unit suite green (3895); ruff clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…in message, measure label propagation) - ``_resolve_dotted`` detects a dotted path that walks back to an already-visited model (``a -> b -> a``) and raises the legacy-compatible ``Circular join detected`` ValueError instead of failing confusingly on the leaf. The "no join" suggestion is reworded to ``model X has no join to Y`` to match the documented phrasing. - Aggregate measures inherit their source column's label when the measure spec carried none (``labeled_rev:sum`` -> "Total Revenue"), restoring the legacy label propagation in ``build_response_metadata``. Integration: 22 -> 19 failures (SQLite + DuckDB). Unit suite green (3895); ruff clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…filters) Local AGGREGATE-phase filters now render as a HAVING clause — previously the typed pipeline only handled WHERE / POST and raised on any HAVING: - ``_render_value_key_for_filter`` renders a LOCAL ``AggregateKey`` as its bare aggregate expression (``COUNT(*)``, ``SUM(amount)``) so it works on dialects that reject SELECT aliases in HAVING; cross-model aggregate refs still raise (they route via the per-plan CTE). - ``_build_where_having_from_planned`` routes AGGREGATE-phase filters into a HAVING clause (the caller already applied a returned having_clause), keyed by a slot map so the HAVING aggregate matches the SELECT one. - A HAVING that compares a non-aggregated row column NOT in the query's GROUP BY is rejected early (``_direct_local_column_keys`` walk), restoring the legacy "not in the query's dimensions" guard. Integration: 19 -> 15 failures (SQLite + DuckDB). Unit suite green (3895); ruff clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…in composed exprs) ``_compose_arithmetic_op`` now parenthesises a lower-precedence operand (and an equal-precedence RIGHT operand of the non-associative ``-`` / ``/``). sqlglot does not add precedence parens for a hand-built nested AST, so a desugared ``change_pct`` (``Div(Sub(a, b), c)``) rendered as ``a - b / c`` — wrong, since ``b / c`` binds first — and only happened to be correct when a declared type forced a numerator CAST. Now it emits ``(a - b) / c`` regardless of type. Integration: 15 -> 14 failures (SQLite + DuckDB). Unit suite green (3895); ruff clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…rithmetic) Codex fold-in: ``_build_arithmetic_for_filter`` now applies the same ``_paren_if_lower_prec`` parenthesization as ``_compose_arithmetic_op``, so a filter with nested mixed-precedence arithmetic (``(a:sum + b:sum) * 2 > 10``) renders ``(SUM(a) + SUM(b)) * 2`` rather than ``SUM(a) + SUM(b) * 2``. Unit suite green (3895); ruff clean. Integration unchanged at 14 failures (remaining gaps are the deferred first/last, composite-input transform, and cross-model/derived rendering slices — see the plan file). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…nned path) Port the legacy _generate_base has_first_or_last branch + _build_last_ranked_from into the typed planned-query generator: first/last aggregates now rank rows via a ROW_NUMBER subquery (projecting source.* + truncated time-dim/joined-dim columns + ROW_NUMBER columns) and pick rn=1 via MAX(CASE WHEN _rn=1 THEN col END). Filtered first/last (Column.filter) use a dedicated ranking column + match flag. WHERE is applied inside the subquery (raw-row filtering before ranking) via a new where_consumed return flag. Also fix ORDER BY binding for a joined time dimension referenced in dotted form (stores.opened_at) to intern onto the declared flat-form slot (stores__opened_at). Closes 4 of the 14 SQLite/DuckDB integration failures: test_last_measure_type, test_last_with_joined_time_dimension, test_last_with_multihop_joined_time_dimension, test_filtered_last_picks_correct_row. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…orms) A window transform whose input is a composite (ArithmeticKey / ScalarCallKey), e.g. cumsum(amount:sum / qty:sum) or cumsum(change(x)) -> cumsum(x - time_shift(x)), previously raised NotImplementedError. Render the input expression inline against the operands' already-materialised aliases via _render_value_key_against_aliases. The Kahn readiness check (_transform_layer_deps_ready -> _ready(tk.input)) already guarantees every operand slot lands in a prior CTE before the window step runs, so no extra inner CTE is needed. Rewrites the branch-local deferral-pinning unit test to assert inline rendering. Closes 2 of the remaining SQLite/DuckDB integration failures: test_cumsum_change_identity, test_inline_last_change_filter. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…mn filters) Synchronous derived-column expansion in the planned generator: - column_expansion.py: add sync twins expand_derived_refs_sync / _walk_path_to_target_sync / _process_column_node_sync (the bundle has every model loaded up front, P11, so the generator expands derived refs without the async storage resolver). Async versions stay for legacy enrichment (DEV-1452). - generator._expand_derived_column_sql / _joined_paths_in_sql: expand a ColumnSqlKey's Column.sql (inlining sibling/joined derived refs) and discover the join paths it crosses. - _build_base_select_for_planned pre-expands local ColumnSqlKey ROW dimensions and pulls their crossed joins into the FROM. - _collect_filter_join_paths + filter-renderer changes: WHERE-phase filters referencing joined columns now render (joined ColumnKey -> <__path>.<leaf>; derived ColumnSqlKey -> expanded inline; Mode-A __ text filters) and pull their joins into the FROM. bundle threaded through _build_where_having_from_planned / _render_value_key_for_filter / _build_shifted_cte_where_parts. Codex fixes: skip cross-model-routed filters from base join collection; guard the shifted CTE against joined-column filters (no joins there); restrict join-path discovery to root-scope columns with full-path resolution. Closes 5 of the remaining 7 SQLite/DuckDB integration failures: test_integration_local_derived_chain, test_integration_cross_model_derived_columnsql (+ duckdb dup), test_filter_on_derived_column_with_cross_table_ref_executes, test_query_filter_on_joined_dimension, test_model_filter_with_double_underscore_join_path_runs. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
… target-join filters + grain) A cross-model aggregate queried with host dimensions reachable from the target by re-rooting through the target's join graph (policy_amount -> policy -> policy_number) collapsed the host dimension to a scalar CROSS JOIN (every row got the global aggregate). The planner now builds a nested re-rooted PlannedQuery rooted at the target (FROM target + joins), preserving the host dimension grain -- the typed-pipeline port of legacy _build_rerooted_enriched. The generator renders the sub-plan via generate_from_planned and joins it back on (host_alias, cte_alias) pairs. Also: - _build_from_and_joins now honors the model's declared join_type (INNER) instead of hardcoding LEFT -- existence-filter joins (e.g. INNER JOIN premium) need row-existence semantics to filter correctly. - _render_value_key_for_filter / _collect_filter_join_paths render joined derived-column refs (ColumnSqlKey with a non-empty path) in WHERE filters, pulling the join (and any nested cross-joins) into the FROM. - Re-rooting classifies filters by their host binding: purely host-local filters stay at the host base (no bare-name/target-column collision); join-traversing filters re-root into the CTE, and an off-forward-path one also triggers re-rooting so a no-dimension cross-model agg filtered through the target's graph stays correct. Closes the C1 integration failure (test_cross_model_measure_with_target_join_filters). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…odel aggregate) A window transform over a cross-model aggregate (cumsum(customers.avg_score:avg)) previously raised NotImplementedError. The combined cross-model result (_base + _cm_* CTEs joined) now becomes the base CTE, and _render_cross_model_transform_chain layers window-transform step CTEs on top (mirroring the local transform machinery), then an outer wrap projects public slots in user order with ORDER BY/LIMIT. - combined_aliases_by_slot_id records each slot's combined-SELECT output column so the transform chain binds the cross-model agg column + dims. - Hidden LOCAL transform deps (a local aggregate feeding a transform alongside a cross-model agg, partition-by dims, hidden time_key) are materialised in _base and surfaced in the combined SELECT via _collect_base_aux_slot_ids, so a mixed cumsum(amount:sum) + cross-model agg query resolves. - time_shift / consecutive_periods (and change / change_pct, which desugar to time_shift) in a query with a cross-model aggregate raise a clear NotImplementedError (self-join transform machinery over cross-model is out of slice scope). Closes the C2 integration failure (test_transform_on_cross_model). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…/1448/1449) Assert the four bug-fix contracts end-to-end through the full cutover path (parse -> bind -> plan -> render -> execute) against seeded in-process SQLite, complementing the planner-level coverage in test_generator2_*. - 1445: a renamed cross-model measure is filterable by either the user alias or the dotted colon form; both intern to one slot (one _cm_ CTE, one HAVING). - 1446: change(amount:sum) dedupes onto the renamed amount:sum slot; the base CTE computes SUM(amount) once and the change arithmetic reuses that alias. - 1448: a user name on a join-traversed measure governs the stage alias; downstream resolves rev:max and the canonical form no longer resolves. - 1449: downstream stages see a flat schema (customers__region); the dotted join form raises IllegalScopeReferenceError. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…y scaffolding) The typed binder handles multi-dot refs and rejects __ in Mode B, and the scope-aware DOT_PATH_IN_SQL slack rule (normalize_model/normalize_query) canonicalizes Mode-A multi-dot refs at the engine boundary. The legacy construction-time string-rewriter is therefore dead. - slayer/core/models.py: delete the module-level _fix_multidot_sql + its dead regexes (_MULTIDOT_COLUMN_RE, _STRING_LITERAL_RE) and _convert_multidot_ref; drop the Column.sql validator entirely; keep the Column.filter and model.filters validators but reduce them to parse_sql_predicate-only (renamed for clarity). - Delete the per-slice parity scaffolding (parity_oracle.py + test_parity_oracle.py + the six test_generator2_* parity files that self-document as 'deleted alongside parity_oracle at the end of 7b.15'). test_generator2_multistage.py stays (execution-based, not parity-oracle-based). - tests/test_models.py: delete the 6 obsolete construction-time multidot auto-conversion tests (the rewrite moved to the slack pass; covered by test_dot_path_in_sql.py). The old regex also mis-rewrote schema-qualified refs, which the model-aware AST rule fixes. - tests/test_dot_path_in_sql.py: refresh module + helper docstrings that referenced the now-deleted legacy regex. Unit: 3593 passed, 2 skipped; ruff clean. Integration (SQLite + DuckDB): 131 passed. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…ilters (#4b), reroot strategy ownership (#2), cross-model parametric keys (#5) #4a: TimeTruncKey.column widened to Union[ColumnKey, ColumnSqlKey] (+ column_leaf / column_path helpers). bind_time_dimension no longer rejects derived temporal columns; every generator render site applies DATE_TRUNC over the EXPANDED derived SQL (base SELECT, ORDER BY, window/OVER, time_shift self-join CTE, date_range BETWEEN, cross-model shared grain). _filter_cast_type suppresses CAST(... AS TIMESTAMP/DATE) in filter context (lossy NUMERIC affinity on SQLite). #4b: SlayerModel.filters may reference non-trivial derived columns. _validate_model_filter no longer raises; generator._render_model_filter_sql inline-expands the predicate (incl. the bare-derived-column root case) and _collect_filter_join_paths pulls crossed joins into FROM. Windowed-column and same-model ModelMeasure-ref rejects preserved. #2: cross-model re-rooting moved from stage_planner into IsolatedCteCrossModelPlanner.plan via keyword-only host_query / public_projection / subplan_builder (default None -> back-compat for direct callers + the test double). Behavior-preserving. #5: pin cross-model parametric result keys carrying the kwarg suffix; docs (CLAUDE.md, docs/concepts/queries.md, docs/architecture/*). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Actionable comments posted: 12
🧹 Nitpick comments (1)
tests/test_dot_path_in_sql.py (1)
478-478: ⚡ Quick winMove function-local imports to module scope.
These imports should be at the top of the file to match repository rules and keep dependency visibility consistent.
Proposed fix
from slayer.core.enums import DataType -from slayer.core.models import Column, ModelJoin, SlayerModel +from slayer.core.models import Column, ModelJoin, ModelMeasure, SlayerModel +from slayer.core.query import SlayerQuery from slayer.core.warnings import SlayerNormalizationWarning from slayer.engine.normalization import ( _apply_dot_path_in_sql, normalize_model, + normalize_query, ) @@ def test_model_measure_formula_not_rewritten(self): @@ - from slayer.core.models import ModelMeasure m = _orders_with_customers_join() @@ def test_query_filters_mode_b_not_rewritten(self): @@ - from slayer.core.query import SlayerQuery - from slayer.engine.normalization import normalize_query - m = _orders_with_customers_join()As per coding guidelines, "Place imports at the top of files".
Also applies to: 493-494
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@tests/test_dot_path_in_sql.py` at line 478, Move the function-local imports into module scope: locate the local import statements (e.g., "from slayer.core.models import ModelMeasure" and the two other imports referenced near the same area) and relocate them to the top of tests/test_dot_path_in_sql.py alongside the other imports; ensure you remove the duplicate local import lines inside functions and run tests to confirm no circular import issues, adjusting import order if needed to satisfy linting and repository import ordering rules.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@docs/architecture/errors-and-warnings.md`:
- Around line 14-19: The fenced code block containing the example error snippet
is missing a language tag which triggers markdownlint MD040; update the block
fence so it includes a language identifier (e.g., "text") directly after the
opening backticks for the existing example error block (the block that starts
with "<ErrorName>: <one-line summary>") so the code fence becomes a typed block
and satisfies the lint rule.
In `@slayer/core/refs.py`:
- Around line 116-181: The agg_kwarg_canonical_str helper currently handles
ColumnKey but not ColumnSqlKey, so derived-column params emitted by
_bind_agg_arg raise TypeError; add a branch in agg_kwarg_canonical_str that
checks isinstance(value, ColumnSqlKey) and returns the SQL identifier/text for
that key (the same string form used when rendering ColumnKey, e.g. value.sql or
the attribute your ColumnSqlKey exposes for its SQL text), mirroring the
existing ColumnKey logic so positional/kwarg derived-column aggregates render
without error.
In `@slayer/engine/binding.py`:
- Around line 638-696: _resolve_dotted_star currently walks hop_path without
checking for cycles, allowing cyclic joins like a.b.a.* to succeed; update
_resolve_dotted_star to mirror _resolve_dotted's cycle guard by tracking visited
model names (starting from host) as you iterate hops and raising
UnknownReferenceError when you encounter a model already seen (or otherwise
detect a cycle) before calling bundle.get_referenced_model; reference symbols to
change: _resolve_dotted_star, hop_path/current/host, current.joins,
bundle.get_referenced_model, and raise UnknownReferenceError with the same kind
of scope_summary/suggestion used elsewhere when a cycle is detected.
In `@slayer/engine/cross_model_planner.py`:
- Around line 650-659: _local_agg_formula currently flattens column-valued
args/kwargs into bare leaves by calling _scalar_formula_literal for positional
args and emitting v.leaf / v.column_name for keyword args, which loses path info
during rerooting; change the loops that build parts so that when an arg or kwarg
value is a ColumnKey or ColumnSqlKey you preserve its full path-shaped
representation (i.e., treat them the same way _aggregate_alias expects
ColumnKey-shaped values) instead of converting to scalar/leaf—either call the
existing path-aware serializer used by _aggregate_alias or keep the
ColumnKey/ColumnSqlKey structure and emit a path-aware token, and only fall back
to _scalar_formula_literal for truly scalar values.
In `@slayer/engine/query_engine.py`:
- Around line 783-799: The current model resolution uses bundle.source_model for
inline/non-string query.source_model and falls back to root model for named
stages; change it to resolve a stage's own model from bundle.stage_source_models
when query.name is present so normalization (normalize_query) and
custom-aggregation logic use the stage-local model. Specifically, when resolving
model for a query (symbols: query.source_model, query.name,
bundle.get_referenced_model, bundle.source_model) prefer
bundle.stage_source_models.get(query.name) if query.name exists and that entry
is present, then compute custom_aggs and call
normalize_query(model=that_model,...); keep existing fallback to
bundle.get_referenced_model or bundle.source_model only if the stage-specific
entry is absent.
In `@slayer/engine/response_meta.py`:
- Around line 182-197: The aggregate-handling code in
_measure_format/_measure_label uses _model_for_path(bundle, path) with src.path
which ignores ColumnSqlKey.model; update the logic that handles AggregateKey
(and the corresponding block at lines ~215-227) to prefer using src.model when
present (i.e., if getattr(src, "model", None) is not None use that model
directly) instead of resolving via _model_for_path(src.path), and only fall back
to _model_for_path when src.model is missing; keep the existing behavior for
StarKey and continue to call _infer_aggregated_format(model=...,
measure_name=..., aggregation=key.agg) once you have the correct model.
In `@slayer/engine/schema_drift.py`:
- Around line 1293-1297: The loop over model.measures is calling
_measure_formula_refs(measure.formula) which only rewrites builtin
function-style aggs and thus misses persisted/custom aggregations; update the
call to pass the model (or its custom aggregations set) into the normalization
so persisted measures like weighted_avg(amount, weight=qty) are recognized —
e.g., call _measure_formula_refs(measure.formula, model=model) or
_measure_formula_refs(measure.formula, custom_aggs=model.custom_aggregations)
and adjust _measure_formula_refs signature/logic accordingly so it consults
model-defined aggregations before returning refs used by _first_dropped_cause.
In `@slayer/engine/source_bundle.py`:
- Around line 257-272: The current code merges all variable scopes into a single
query_variables dict via merge_query_variables and returns it on
ResolvedSourceBundle, which causes sibling stages to lose their own
runtime>stage>outer>model precedence; instead, compute and store merged
variables per-stage (e.g., produce a mapping like stage_query_variables:
Dict[stage_name, Dict[str, Any>] or attach the merged vars to each entry in
stage_source_models) using merge_query_variables for each stage (referencing
merge_query_variables, query.variables, source_model.query_variables, and
stage_source_models), and return that per-stage mapping on ResolvedSourceBundle
rather than collapsing everything into a single root-scoped query_variables dict
so named stages continue to resolve {variable} placeholders with their own
precedence.
In `@slayer/engine/stage_planner.py`:
- Around line 943-950: The current return builds a public projection name by
passing agg_kwargs into canonical_agg_name, which changes exported result.data
keys; revert the public alias to the original stable form by calling
canonical_agg_name without the agg_kwargs/agg_args suffix (use measure_name,
aggregation_name=key.agg and only include agg_args if necessary for public
stability), and move the kwarg-uniquing logic (agg_kwarg_canonical_str(...)
values) into the internal/render alias used for CTEs (create or reuse an
internal alias variable for canonical_agg_name(..., agg_kwargs=...) and use that
for collision avoidance in internal SQL generation while keeping the
returned/exported name unchanged).
- Around line 362-371: The fallback currently parses only col_name which strips
table/qualifier information and causes rebinding errors; change the else-branch
to parse and bind the ORDER object's original reference (the full reference
string stored on o, e.g. the attribute that holds the original column reference
rather than the leaf name) instead of col_name — i.e. call parse_expr(...) with
the ORDER object's full reference (the original reference attribute on o) and
then bind_expr(scope=scope, bundle=bundle) so the ORDER keeps its
table/qualifier context; keep using parse_expr, bind_expr, scope and bundle as
in the surrounding code and only replace col_name with o's original reference
attribute.
In `@tests/test_generator2_multistage.py`:
- Line 257: In the test functions where you unpack harness into engine, storage,
db_path (e.g., the statement "engine, storage, db_path = harness"), replace the
unused binding "engine" with "_" so it becomes "_, storage, db_path = harness"
to silence static-analysis warnings; do the same in the other occurrence
mentioned (the second unpack around the later test), leaving "storage" and
"db_path" unchanged.
- Around line 108-115: The helper _run_sqlite should be changed to require
keyword-only arguments to follow call-style rules: update its signature to place
a bare * before parameters (e.g., def _run_sqlite(*, db_path: str, sql: str) ->
List[dict]) so callers must use explicit names, then update all tests and call
sites that invoke _run_sqlite positionally to call it with named arguments
(db_path=..., sql=...). Ensure references to _run_sqlite in test files are
adjusted accordingly.
---
Nitpick comments:
In `@tests/test_dot_path_in_sql.py`:
- Line 478: Move the function-local imports into module scope: locate the local
import statements (e.g., "from slayer.core.models import ModelMeasure" and the
two other imports referenced near the same area) and relocate them to the top of
tests/test_dot_path_in_sql.py alongside the other imports; ensure you remove the
duplicate local import lines inside functions and run tests to confirm no
circular import issues, adjusting import order if needed to satisfy linting and
repository import ordering rules.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
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📒 Files selected for processing (52)
CLAUDE.mddocs/architecture/binding.mddocs/architecture/cross-model-aggregates.mddocs/architecture/engine-orchestration.mddocs/architecture/errors-and-warnings.mddocs/architecture/index.mddocs/architecture/parsing.mddocs/architecture/planning.mddocs/architecture/scopes-and-bundle.mddocs/architecture/slack-normalization.mddocs/architecture/sql-generation.mddocs/architecture/stage-planning.mddocs/architecture/typed-keys.mddocs/concepts/queries.mdmkdocs.ymlslayer/core/errors.pyslayer/core/keys.pyslayer/core/models.pyslayer/core/refs.pyslayer/engine/binding.pyslayer/engine/column_expansion.pyslayer/engine/cross_model_planner.pyslayer/engine/normalization.pyslayer/engine/planned.pyslayer/engine/planning.pyslayer/engine/query_engine.pyslayer/engine/response_meta.pyslayer/engine/schema_drift.pyslayer/engine/source_bundle.pyslayer/engine/stage_planner.pyslayer/engine/syntax.pyslayer/memories/resolver.pyslayer/sql/generator.pytests/test_column_expansion_sync.pytests/test_cross_model_planner.pytests/test_dev1445_cross_model_alias_filter.pytests/test_dev1446_nested_transform_dedup.pytests/test_dev1448_named_join_measure_alias.pytests/test_dev1449_flat_stage_schema_refs.pytests/test_dev1450fix_cross_model_parametric_keys.pytests/test_dev1450fix_derived_time_dimension.pytests/test_dev1450fix_model_filter_derived.pytests/test_dev1450fix_reroot_strategy.pytests/test_dot_path_in_sql.pytests/test_generator2_multistage.pytests/test_memories_resolver_typed.pytests/test_models.pytests/test_response_meta.pytests/test_schema_drift_typed.pytests/test_source_bundle_builder.pytests/test_time_dimensions_planner.pytests/test_time_trunc_key.py
💤 Files with no reviewable changes (1)
- tests/test_models.py
✅ Files skipped from review due to trivial changes (5)
- docs/architecture/cross-model-aggregates.md
- CLAUDE.md
- docs/architecture/engine-orchestration.md
- docs/architecture/planning.md
- docs/architecture/index.md
| parts: List[str] = [] | ||
| for a in key.args: | ||
| parts.append(_scalar_formula_literal(a)) | ||
| for k, v in key.kwargs: | ||
| if isinstance(v, ColumnKey): | ||
| parts.append(f"{k}={v.leaf}") | ||
| elif isinstance(v, ColumnSqlKey): | ||
| parts.append(f"{k}={v.column_name}") | ||
| else: | ||
| parts.append(f"{k}={_scalar_formula_literal(v)}") |
There was a problem hiding this comment.
Preserve column-valued aggregate parameters during rerooting.
_local_agg_formula() currently serializes positional column refs with _scalar_formula_literal() and collapses keyword column refs to bare leaf / column_name. For rerooted parametric cross-model aggregates, that loses the bound path information and can make the nested subquery bind the wrong column or fail to bind at all. _aggregate_alias() already treats aggregate args/kwargs as ColumnKey-shaped values, so rerooting needs the same path-aware handling here.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@slayer/engine/cross_model_planner.py` around lines 650 - 659,
_local_agg_formula currently flattens column-valued args/kwargs into bare leaves
by calling _scalar_formula_literal for positional args and emitting v.leaf /
v.column_name for keyword args, which loses path info during rerooting; change
the loops that build parts so that when an arg or kwarg value is a ColumnKey or
ColumnSqlKey you preserve its full path-shaped representation (i.e., treat them
the same way _aggregate_alias expects ColumnKey-shaped values) instead of
converting to scalar/leaf—either call the existing path-aware serializer used by
_aggregate_alias or keep the ColumnKey/ColumnSqlKey structure and emit a
path-aware token, and only fall back to _scalar_formula_literal for truly scalar
values.
| def _run_sqlite(db_path: str, sql: str) -> List[dict]: | ||
| con = sqlite3.connect(db_path) | ||
| con.row_factory = sqlite3.Row | ||
| try: | ||
| rows = [dict(r) for r in con.execute(sql).fetchall()] | ||
| finally: | ||
| con.close() | ||
| return rows |
There was a problem hiding this comment.
🛠️ Refactor suggestion | 🟠 Major | ⚡ Quick win
Make _run_sqlite keyword-only to satisfy repo call-style rules.
This helper has 2 parameters and is used positionally in several tests; make it keyword-only and call it with explicit names.
♻️ Proposed fix
-def _run_sqlite(db_path: str, sql: str) -> List[dict]:
+def _run_sqlite(*, db_path: str, sql: str) -> List[dict]:
@@
- new_rows = _run_sqlite(db_path, new_sql)
+ new_rows = _run_sqlite(db_path=db_path, sql=new_sql)
@@
- new_rows = _run_sqlite(db_path, new_sql)
+ new_rows = _run_sqlite(db_path=db_path, sql=new_sql)
@@
- new_rows = _run_sqlite(db_path, new_sql)
+ new_rows = _run_sqlite(db_path=db_path, sql=new_sql)
@@
- new_rows = _run_sqlite(db_path, new_sql)
+ new_rows = _run_sqlite(db_path=db_path, sql=new_sql)
@@
- new_rows = _run_sqlite(db_path, new_sql)
+ new_rows = _run_sqlite(db_path=db_path, sql=new_sql)
@@
- new_rows = _run_sqlite(db_path, new_sql)
+ new_rows = _run_sqlite(db_path=db_path, sql=new_sql)As per coding guidelines "Use keyword arguments for functions with more than 1 parameter".
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@tests/test_generator2_multistage.py` around lines 108 - 115, The helper
_run_sqlite should be changed to require keyword-only arguments to follow
call-style rules: update its signature to place a bare * before parameters
(e.g., def _run_sqlite(*, db_path: str, sql: str) -> List[dict]) so callers must
use explicit names, then update all tests and call sites that invoke _run_sqlite
positionally to call it with named arguments (db_path=..., sql=...). Ensure
references to _run_sqlite in test files are adjusted accordingly.
- S1244: pytest.approx for the scalar float-equality assert in test_dev1450fix_derived_time_dimension.py. - S8495: _typed_leaf now returns a uniform (tag, value) 2-tuple in every branch (ValueKey leaves ride in a "__key__" slot) — no variable-length return; hashing/interning semantics unchanged. - S7503 (false positives): NOSONAR the nested async resolve_* callbacks in test_agg_registry.py / test_path_resolution.py — they must be async because collect_reachable_agg_names / walk_join_chain await them. Clears new_reliability_rating -> A. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Extends #4a/#4b ColumnSqlKey support to the cross-model CTE path: - generator.py (Codex C1): target_model_filters referencing a non-trivial derived column now inline-expand via _render_model_filter_sql instead of _qualify_column_filter_sql (which emitted a non-existent target.<derived>). - generator.py (Codex C2): _render_filter_value_key_in_target_scope gains a ColumnSqlKey branch (expand rooted at the target); bundle threaded through _collect_routed_filters. - refs.py (CR[7]): agg_kwarg_canonical_str canonicalizes ColumnSqlKey ([path.]column_name) instead of raising TypeError. - cross_model_planner.py (CR[9]): _local_agg_formula re-roots column-valued kwargs (strips the agg-source/target prefix), keeping residual paths. - response_meta.py (CR[11]): _measure_format/_measure_label resolve a derived aggregate source via src.model (new _owning_model_for_agg_source helper). New tests in tests/test_dev1450fix_cross_model_derived.py. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- syntax.py [0]: scan for raw OVER( only after blanking string literals, so
``status == 'OVER('`` isn't mistaken for a window clause.
- syntax.py [1]: _convert_call rejects ``**kwargs`` unpacking instead of
silently dropping it.
- binding.py [8]: _resolve_dotted_star adds the same cyclic-join guard the
dotted-column path has (``a.b.a.*`` now raises).
- query_engine.py [10]: a named non-root stage normalizes against its OWN
resolved source model (bundle.stage_source_models[query.name]), not root.
- schema_drift.py [12]: _measure_formula_refs threads custom_agg_names so
model-custom function-style aggs rewrite to colon form (drift cascade
completeness).
- stage_planner.py [14]: an ORDER ref without a raw_formula binds its FULL
dotted name, not just the leaf.
CR [13] (source_bundle per-stage variables) verified invalid — the engine
re-merges variables per named stage (query_engine.py:676-697); replied on
the thread. New tests in tests/test_dev1450fix_group2_correctness.py.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…ck-wins - cross_model_planner.py S1871: merge the duplicate shared-grain append branches (ColumnKey / TimeTruncKey) into one `if not p or p == prefix`. - generator.py S1192: extract _SQL_WITH / _SQL_PARTITION_BY constants and reuse _SQL_AND_JOINER (output-identical); S3626 drop redundant return in the BetweenKey dep-collector; S1066 merge the nested _ready() if. - planning.py S3626: drop redundant return in _iter_slot_deps BetweenKey arm. - syntax.py S5361: `<>` rewrite via str.replace (the IGNORECASE word-boundary subs above genuinely need regex); S1172 drop unused agg_map from _flatten_attribute; narrow _convert_call kwargs after the **kwargs guard. - normalization.py S7504: drop redundant list() (loop only mutates attrs). - memories/resolver.py S5713: IllegalWindowInFilterError is-a ValueError — drop the redundant except member + import. - docs/architecture/errors-and-warnings.md: add `text` fence language tag. - tests: drop unused engine/db_path bindings (S1481), S6353 \w, and make the topo-sort test actually assert reordering (3 named stages, shuffled input). Deferred (rationale, low value / churn): S1172 _resolve_ref `bundle` (kept for binder signature parity with _resolve_dotted); CR test keyword-arg style (multi-site, one tagged heavy-lift); SELECT-prefix S1192 (whitespace-fragile, overlapping substrings); one dead `q` whose removal cascades through other leftover setup in a pre-existing test. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Actionable comments posted: 1
♻️ Duplicate comments (2)
slayer/engine/syntax.py (1)
189-191:⚠️ Potential issue | 🟠 Major | ⚡ Quick winThe
OVER(guard still misclassifies some valid Python strings.
_STRING_LITERAL_REunderstands doubled-quote SQL literals, not Python backslash escapes, so inputs likestatus == "x\" OVER("still leaveOVER(visible and raiseIllegalWindowInFilterErroreven though it is inside the string literal. This needs a quote-aware scanner/tokenizer that follows Python string rules instead of_STRING_LITERAL_RE.sub("", text).#!/bin/bash set -euo pipefail python - <<'PY' import re OVER_RE = re.compile(r"\bOVER\s*\(", re.IGNORECASE) STRING_LITERAL_RE = re.compile(r"'(?:[^']|'')*'|\"(?:[^\"]|\"\")*\"") cases = [ r'status == "OVER("', r'status == "x\" OVER("', ] for text in cases: masked = STRING_LITERAL_RE.sub("", text) print(f"text : {text}") print(f"masked : {masked}") print(f"match? : {bool(OVER_RE.search(masked))}") print("-" * 40) PY🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@slayer/engine/syntax.py` around lines 189 - 191, The current guard uses _STRING_LITERAL_RE to mask literals but fails for Python-style escapes; replace that masking with a Python-aware tokenizer: use the tokenize module (tokenize.generate_tokens / tokenize.tokenize) on the input text to produce a new string where tokens of type STRING are replaced with equal-length whitespace (so positions remain consistent), then run _OVER_RE.search on that tokenized/masked string instead of _STRING_LITERAL_RE.sub("", text); update the conditional using the new helper (e.g., _mask_python_strings(text) and call it where _STRING_LITERAL_RE.sub(...) is used) and ensure imports for tokenize and io are added and IllegalWindowInFilterError behavior remains unchanged.slayer/engine/stage_planner.py (1)
368-374:⚠️ Potential issue | 🟠 Major | ⚡ Quick winFlatten dotted ORDER refs before rebinding in stage scope.
This fallback still parses
customers.regionverbatim whenscopeis aStageSchema, but downstream stage columns are emitted ascustomers__region. Structured ORDER refs withoutraw_formulawill still fail or rebind to the wrong slot in multi-stage queries.Suggested fix
else: bo = bind_expr( - parse_expr(full_name, allow_dunder=flat_scope), + parse_expr( + _flatten_dotted(full_name) if flat_scope else full_name, + allow_dunder=flat_scope, + ), scope=scope, bundle=bundle, )🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@slayer/engine/stage_planner.py` around lines 368 - 374, The bind is parsing the dotted ORDER ref verbatim (parse_expr(full_name,...)) so when scope is a StageSchema downstream columns are emitted flattened (customers__region) and the current code rebinds incorrectly; fix by detecting StageSchema (or stage scope) and transform dotted full_name into the stage-flattened form before calling parse_expr/bind_expr (e.g. replace dots with the stage separator used by the StageSchema) so bind_expr receives the flattened identifier (use the same flattening logic/utility the StageSchema uses) while preserving allow_dunder=flat_scope and passing scope and bundle to bind_expr.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@slayer/engine/schema_drift.py`:
- Around line 866-870: The comprehension that builds custom_agg_names scans all
models via graph.models_by_name but should only consider models reachable from
the stage source; change the comprehension to iterate over graph.reachable and
then look up models in graph.models_by_name (e.g. for name in graph.reachable
for m in (graph.models_by_name.get(name),) if present) so only reachable models'
aggregations (m.aggregations) contribute to custom_agg_names; update the
expression that defines custom_agg_names accordingly (refer to the existing
variable name custom_agg_names and usages in schema_drift.py).
---
Duplicate comments:
In `@slayer/engine/stage_planner.py`:
- Around line 368-374: The bind is parsing the dotted ORDER ref verbatim
(parse_expr(full_name,...)) so when scope is a StageSchema downstream columns
are emitted flattened (customers__region) and the current code rebinds
incorrectly; fix by detecting StageSchema (or stage scope) and transform dotted
full_name into the stage-flattened form before calling parse_expr/bind_expr
(e.g. replace dots with the stage separator used by the StageSchema) so
bind_expr receives the flattened identifier (use the same flattening
logic/utility the StageSchema uses) while preserving allow_dunder=flat_scope and
passing scope and bundle to bind_expr.
In `@slayer/engine/syntax.py`:
- Around line 189-191: The current guard uses _STRING_LITERAL_RE to mask
literals but fails for Python-style escapes; replace that masking with a
Python-aware tokenizer: use the tokenize module (tokenize.generate_tokens /
tokenize.tokenize) on the input text to produce a new string where tokens of
type STRING are replaced with equal-length whitespace (so positions remain
consistent), then run _OVER_RE.search on that tokenized/masked string instead of
_STRING_LITERAL_RE.sub("", text); update the conditional using the new helper
(e.g., _mask_python_strings(text) and call it where _STRING_LITERAL_RE.sub(...)
is used) and ensure imports for tokenize and io are added and
IllegalWindowInFilterError behavior remains unchanged.
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Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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📒 Files selected for processing (22)
docs/architecture/errors-and-warnings.mdslayer/core/keys.pyslayer/core/refs.pyslayer/engine/binding.pyslayer/engine/cross_model_planner.pyslayer/engine/normalization.pyslayer/engine/planning.pyslayer/engine/query_engine.pyslayer/engine/response_meta.pyslayer/engine/schema_drift.pyslayer/engine/stage_planner.pyslayer/engine/syntax.pyslayer/memories/resolver.pyslayer/sql/generator.pytests/test_agg_registry.pytests/test_dev1445_cross_model_alias_filter.pytests/test_dev1450fix_cross_model_derived.pytests/test_dev1450fix_derived_time_dimension.pytests/test_dev1450fix_group2_correctness.pytests/test_generator2_multistage.pytests/test_path_resolution.pytests/test_stage_planner.py
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- slayer/engine/planning.py
…ER edge Group A — a DERIVED column (ColumnSqlKey) used as a CROSS-MODEL aggregate source (e.g. customers.rev_x2:sum where rev_x2 = revenue*2) now re-roots and expands correctly (Codex #1/#2; finishes CodeRabbit cross_model_planner:674): - cross_model_planner._aggregate_alias / _make_cte_schema resolve the source name/type via leaf-or-column_name, so a derived source aliases as `rev_x2_sum` (not the star `_sum`) and carries the right type. - generator cross-model CTE synth re-roots a ColumnSqlKey source to path=() and re-roots ColumnSqlKey kwargs symmetrically with ColumnKey. Group B — schema_drift._measure_refs_on_base scopes custom-agg discovery to graph.reachable models (not the whole registry), so an unrelated custom-agg name can't normalize a coincidental call and cause a false cascade (CodeRabbit schema_drift:870). Codex #3 — the raw-OVER( pre-scan blanks Python string literals with an escape-aware matcher (_PY_STRING_LITERAL_RE), so a value like `status == "x \" OVER("` isn't mistaken for a window clause. New tests in test_dev1450fix_cross_model_derived.py (derived agg source) and test_dev1450fix_group2_correctness.py (escaped-literal OVER). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@slayer/engine/syntax.py`:
- Around line 143-147: Replace the non-escape-aware _STRING_LITERAL_RE with the
new escape-aware _PY_STRING_LITERAL_RE in both _normalize_sql_filter_operators
and _preprocess_colons so rewrites (colon preprocessing and SQL operator
normalization in functions _preprocess_colons and
_normalize_sql_filter_operators) skip over Python-style string literals that
contain backslash-escaped quotes; update any local variable or parameter
references in those functions to use _PY_STRING_LITERAL_RE and run existing
literal-masking logic unchanged so behavior remains identical except now
honoring escaped quotes.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
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📒 Files selected for processing (6)
slayer/engine/cross_model_planner.pyslayer/engine/schema_drift.pyslayer/engine/syntax.pyslayer/sql/generator.pytests/test_dev1450fix_cross_model_derived.pytests/test_dev1450fix_group2_correctness.py
| # Python-string-literal matcher (handles backslash escapes) — used to blank | ||
| # string contents before the raw-OVER( pre-scan, since Mode-B expressions use | ||
| # Python string syntax. A SQL-style ('' / "") doubling matcher would miss | ||
| # ``"x \" OVER("`` and false-positive on the OVER( inside the literal (Codex). | ||
| _PY_STRING_LITERAL_RE = re.compile(r"'(?:\\.|[^'\\])*'|\"(?:\\.|[^\"\\])*\"") |
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py_style = re.compile(r"'(?:\\.|[^'\\])*'|\"(?:\\.|[^\"\\])*\"")
print("input:", text)
print("sql_style matches:", [m.group(0) for m in sql_style.finditer(text)])
print("py_style matches:", [m.group(0) for m in py_style.finditer(text)])
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Reuse the escape-aware _PY_STRING_LITERAL_RE in colon preprocessing and SQL-operator normalization
_normalize_sql_filter_operators() and _preprocess_colons() still use _STRING_LITERAL_RE, which is not escape-aware, so escaped quotes can cause :sum / AND / IN rewrites to occur inside Python string literals.
Suggested fix
def _normalize_sql_filter_operators(text: str) -> str:
@@
- parts = _STRING_LITERAL_RE.split(text)
- literals = _STRING_LITERAL_RE.findall(text)
+ parts = _PY_STRING_LITERAL_RE.split(text)
+ literals = _PY_STRING_LITERAL_RE.findall(text)
@@
def _preprocess_colons(
text: str,
) -> Tuple[str, Dict[int, Tuple[Union[Ref, DottedRef, StarSource], str]]]:
@@
- literal_spans = [
- (m.start(), m.end()) for m in _STRING_LITERAL_RE.finditer(text)
- ]
+ literal_spans = [
+ (m.start(), m.end()) for m in _PY_STRING_LITERAL_RE.finditer(text)
+ ]🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@slayer/engine/syntax.py` around lines 143 - 147, Replace the non-escape-aware
_STRING_LITERAL_RE with the new escape-aware _PY_STRING_LITERAL_RE in both
_normalize_sql_filter_operators and _preprocess_colons so rewrites (colon
preprocessing and SQL operator normalization in functions _preprocess_colons and
_normalize_sql_filter_operators) skip over Python-style string literals that
contain backslash-escaped quotes; update any local variable or parameter
references in those functions to use _PY_STRING_LITERAL_RE and run existing
literal-masking logic unchanged so behavior remains identical except now
honoring escaped quotes.
…ract Resolved conflicts: - CLAUDE.md: unioned typed parametric keys note (HEAD) with cross-model rename paragraph (main) plus the shared workaround / companion-tickets trailing clause. - slayer/engine/query_engine.py: unioned imports (SourceModelOrigin from HEAD's typed pipeline + NormalizationWarning). Test reconciliation (tests/test_nested_dag_cross_stage_refs.py and tests/test_cross_model_rename_dev1448.py): Dropped 9 tests that assert legacy mechanisms the typed pipeline deliberately replaces (breadcrumb-based dotted-form preservation, intercept Candidate A/B precedence, intercept canonical-collision guards, lenient fall-through path). Adapted 18 tests to the typed-pipeline contract: downstream stages see a flat schema, so dotted refs (`customers.regions.name`) become flat (`customers__regions__name`); cross-model measure re-aggregation becomes `flat_alias:sum` against the inner stage's projected column; result-key assertions updated to match the flat surface. Skipped 3 tests pending follow-up issues: - DEV-1471 (cross-stage time_dim re-binding): two tests skipped (TestCrossStageTimeDimension::test_multi_hop_dotted_time_dim_cross_stage, TestCrossStageTimeShift::test_time_shift_over_multi_hop_dotted_time_dim). - DEV-1472 (hidden-slot ORDER BY): one test skipped (TestCrossModelInterceptDuplicateQfieldGuard::test_intercepted_cmm_order_only_no_qfield_registers_alias). Full unit suite: 3871 passed, 7 skipped. Ruff clean. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
|



Summary
Work-in-progress on DEV-1450 — replacing today's tangled multi-path resolution with a typed pipeline of composable stages:
raw → slack normalize → parse_expr → bind_expr → ProjectionPlanner → plan_query → PlannedQuery.main, broken into ~25 numbered stages.See the DEV-1450 progress checkpoints for stage-by-stage detail.
Test plan
orders.revenue_sum,orders._count,orders.customers.regions.name, renamedorders.<user_name>).🤖 Generated with Claude Code
Summary by CodeRabbit
New Features
Bug Fixes
Documentation
Tests