Merge pull request #6 from trouze/feat/cost-overlay

replay: Snowflake cost overlay (--warehouse-size)

Author: trouze

.actrc

@@ -0,0 +1,2 @@
+-P ubuntu-latest=catthehacker/ubuntu:act-latest
+--container-architecture linux/amd64

CHANGELOG.md

@@ -4,6 +4,11 @@ All notable changes to this project will be documented in this file. The format
 
 ## [Unreleased]
 
+### Added
+
+- `replay` cost overlay: pass `--warehouse-size` (Snowflake XS…6XL) or `--credits-per-hour` (non-Snowflake adapters) to translate wall-clock into dollars. Renders **Run cost**, **Critical-path floor**, **Headroom** (= run − floor; the prize for better parallelization), and **Idle cost** (the $ equivalent of thread-idle warehouse-seconds). Defaults to $2.00/credit (Snowflake Standard On-Demand); override with `--rate-per-credit`. Snowflake's 60-second minimum-billing floor is applied automatically; pass `--no-minimum-billing` to see raw wall-clock × rate.
+- New module `dbt_dag_opt.cost` with `CostInputs`, `CostReport`, `compute_cost()`, `credits_per_hour_for()`, and `cost_inputs_from_replay()`. Designed primitive-first so a future `whatif` simulator can call `compute_cost` against simulated schedules and diff the resulting `CostReport`s.
+
 ## [0.1.0] - 2026-04-24
 
 Initial PyPI release. Complete rewrite of the pre-release prototype.

README.md

@@ -89,9 +89,33 @@ dbt-dag-opt replay [OPTIONS]
   --account-id / --job-id      dbt Cloud mode (same as analyze)
   -f, --format [text|json]     Output format  [default: text]
   --top-idle-gaps INTEGER      How many idle gaps to surface  [default: 10]
+  --warehouse-size TEXT        Snowflake size (XS, S, M, L, XL, 2XL…6XL); triggers cost overlay
+  --credits-per-hour FLOAT     Raw credits/hour for non-Snowflake adapters
+  --rate-per-credit FLOAT      USD per credit  [default: 2.0 (Standard On-Demand)]
+  --no-minimum-billing         Skip the 60s Snowflake minimum-billing floor
   -o, --output PATH            Write output to a file instead of stdout
 ```
 
+#### Cost overlay
+
+Pass `--warehouse-size` to translate wall-clock into dollars:
+
+```bash
+dbt-dag-opt replay \
+  --manifest target/manifest.json \
+  --run-results target/run_results.json \
+  --warehouse-size L
+```
+
+Four numbers frame the output:
+
+- **Run cost** — what this run actually billed (wall-clock × warehouse rate, with the 60s floor applied).
+- **Critical-path floor** — the irreducible cost of your slowest dependency chain. You can't beat this without making individual models faster.
+- **Headroom** — `run − floor`. The prize for better parallelization: what you could save if threads never sat idle.
+- **Idle cost** — the $ equivalent of thread-idle warehouse-seconds. Distinct from headroom: idle cost includes time spent waiting on long-tail critical-path models that can't be parallelized away.
+
+Defaults to $2.00/credit (Snowflake Standard On-Demand). Override with `--rate-per-credit` (Enterprise ≈ 3.0, Business Critical ≈ 4.0; check your contract). Non-Snowflake adapters: pass `--credits-per-hour N` instead of `--warehouse-size`.
+
 ### Output formats
 
 - `table` — rich terminal table (default for `analyze`).
@@ -110,11 +134,10 @@ Distances sum the execution time of every node along the path — that's the war
 
 ## What this is / isn't
 
-It **is** a CLI tool that points at the slowest chains in your DAG and — as of `replay` — the observed schedule that those chains actually produced.
+It **is** a CLI tool that points at the slowest chains in your DAG, reconstructs the observed schedule those chains produced (`replay`), and — with `--warehouse-size` — translates that schedule into dollars.
 
 It **isn't** (yet):
-- A predictive scheduler simulator. `replay` reconstructs what already happened; it doesn't yet project what would happen under a different `--threads N` or if you sped up a specific model. That "what-if" loop is planned next.
-- A cost model. Multiplying wall-clock × your warehouse rate is on you — a `--warehouse-size` flag is planned alongside the what-if loop.
+- A predictive scheduler simulator. `replay` reconstructs what already happened; it doesn't yet project what would happen under a different `--threads N` or if you sped up a specific model. That "what-if" loop is planned next, and will diff two cost reports to show projected $ savings.
 
 ## Development
 

src/dbt_dag_opt/cli.py

@@ -10,6 +10,11 @@
 import typer
 
 from dbt_dag_opt import __version__, artifacts
+from dbt_dag_opt.cost import (
+    DEFAULT_RATE_PER_CREDIT_USD,
+    compute_cost,
+    cost_inputs_from_replay,
+)
 from dbt_dag_opt.errors import DbtDagOptError
 from dbt_dag_opt.formatters import Format, render
 from dbt_dag_opt.graph import build_dag
@@ -181,12 +186,57 @@ def replay(
             help="Number of idle gaps to surface. Use 0 to suppress.",
         ),
     ] = 10,
+    warehouse_size: Annotated[
+        str | None,
+        typer.Option(
+            "--warehouse-size",
+            help="Snowflake warehouse size (XS, S, M, L, XL, 2XL...6XL). Triggers cost overlay.",
+        ),
+    ] = None,
+    credits_per_hour: Annotated[
+        float | None,
+        typer.Option(
+            "--credits-per-hour",
+            help=(
+                "Raw credits/hour for non-Snowflake adapters. "
+                "Mutually exclusive with --warehouse-size."
+            ),
+        ),
+    ] = None,
+    rate_per_credit: Annotated[
+        float,
+        typer.Option(
+            "--rate-per-credit",
+            help="USD per credit. Default 2.0 (Snowflake Standard On-Demand).",
+        ),
+    ] = DEFAULT_RATE_PER_CREDIT_USD,
+    no_minimum_billing: Annotated[
+        bool,
+        typer.Option(
+            "--no-minimum-billing",
+            help="Skip the 60s minimum-billing floor that Snowflake applies on warehouse resume.",
+        ),
+    ] = False,
     output: Annotated[
         Path | None,
         typer.Option("--output", "-o", help="Write output to a file instead of stdout."),
     ] = None,
 ) -> None:
     """Replay an observed run: per-thread utilization, critical path, and idle-gap attribution."""
+    if warehouse_size is not None and credits_per_hour is not None:
+        raise typer.BadParameter(
+            "--warehouse-size and --credits-per-hour are mutually exclusive."
+        )
+    cost_requested = warehouse_size is not None or credits_per_hour is not None
+    if not cost_requested and rate_per_credit != DEFAULT_RATE_PER_CREDIT_USD:
+        raise typer.BadParameter(
+            "--rate-per-credit requires --warehouse-size or --credits-per-hour."
+        )
+    if not cost_requested and no_minimum_billing:
+        raise typer.BadParameter(
+            "--no-minimum-billing requires --warehouse-size or --credits-per-hour."
+        )
+
     try:
         data = _load(
             manifest=manifest,
@@ -199,11 +249,21 @@ def replay(
         )
         limit = top_idle_gaps if top_idle_gaps > 0 else 0
         report = build_replay(data, top_idle_gaps_limit=limit)
+        cost_report = None
+        if cost_requested:
+            cost_inputs = cost_inputs_from_replay(
+                report,
+                warehouse_size=warehouse_size,
+                credits_per_hour=credits_per_hour,
+                rate_per_credit_usd=rate_per_credit,
+                apply_minimum_billing=not no_minimum_billing,
+            )
+            cost_report = compute_cost(cost_inputs)
     except DbtDagOptError as exc:
         typer.secho(f"error: {exc}", fg=typer.colors.RED, err=True)
         raise typer.Exit(code=1) from exc
 
-    rendered = render_replay(report, fmt)
+    rendered = render_replay(report, fmt, cost=cost_report)
 
     if output is not None:
         output.write_text(rendered, encoding="utf-8")

src/dbt_dag_opt/cost.py

@@ -0,0 +1,179 @@
+"""Snowflake-style cost model layered on top of a ``ReplayReport``.
+
+Translates wall-clock, thread-idleness, and the critical-path floor into
+dollar amounts the user can reason about. Kept intentionally small and
+primitive-driven so a future ``whatif`` simulator can call ``compute_cost``
+twice (baseline + simulated) and diff the two ``CostReport``s without
+having to fabricate a full replay.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+
+from dbt_dag_opt.errors import InvalidArtifactError
+from dbt_dag_opt.replay import ReplayReport
+
+SNOWFLAKE_CREDITS_PER_HOUR: dict[str, float] = {
+    "XS": 1.0,
+    "S": 2.0,
+    "M": 4.0,
+    "L": 8.0,
+    "XL": 16.0,
+    "2XL": 32.0,
+    "3XL": 64.0,
+    "4XL": 128.0,
+    "5XL": 256.0,
+    "6XL": 512.0,
+}
+
+DEFAULT_RATE_PER_CREDIT_USD: float = 2.0
+MIN_BILLING_SECONDS: float = 60.0
+
+_SIZE_ALIASES: dict[str, str] = {
+    "XSMALL": "XS",
+    "SMALL": "S",
+    "MEDIUM": "M",
+    "LARGE": "L",
+    "XLARGE": "XL",
+    "2XLARGE": "2XL",
+    "3XLARGE": "3XL",
+    "4XLARGE": "4XL",
+    "5XLARGE": "5XL",
+    "6XLARGE": "6XL",
+}
+
+
+@dataclass(frozen=True)
+class CostInputs:
+    """Primitive inputs to the cost model.
+
+    Decoupled from ``ReplayReport`` so ``whatif`` can pass simulated numbers
+    without going through the full parse pipeline.
+    """
+
+    wall_clock_seconds: float
+    total_cpu_seconds: float
+    thread_count: int
+    critical_path_seconds: float
+    credits_per_hour: float
+    rate_per_credit_usd: float
+    apply_minimum_billing: bool = True
+    warehouse_size_label: str | None = None
+
+
+@dataclass(frozen=True)
+class CostReport:
+    inputs: CostInputs
+    billed_seconds: float
+    rate_per_second_usd: float
+    run_cost_usd: float
+    floor_cost_usd: float
+    headroom_usd: float
+    idle_thread_seconds: float
+    waste_fraction: float
+    idle_cost_usd: float
+    min_billing_applied: bool
+
+
+def credits_per_hour_for(size: str) -> float:
+    """Resolve a Snowflake warehouse size alias to credits/hour.
+
+    Case-insensitive; strips ``-`` and whitespace. Accepts both shorthand
+    (``"L"``, ``"2XL"``) and long form (``"Large"``, ``"2X-Large"``).
+    """
+    normalized = size.upper().replace("-", "").replace(" ", "").replace("_", "")
+    if normalized in SNOWFLAKE_CREDITS_PER_HOUR:
+        return SNOWFLAKE_CREDITS_PER_HOUR[normalized]
+    if normalized in _SIZE_ALIASES:
+        return SNOWFLAKE_CREDITS_PER_HOUR[_SIZE_ALIASES[normalized]]
+    raise InvalidArtifactError(
+        f"unknown warehouse size: {size!r}. "
+        f"Expected one of {sorted(SNOWFLAKE_CREDITS_PER_HOUR)}."
+    )
+
+
+def compute_cost(inputs: CostInputs) -> CostReport:
+    rate_per_second = inputs.credits_per_hour * inputs.rate_per_credit_usd / 3600.0
+
+    raw_wall = max(0.0, inputs.wall_clock_seconds)
+    if inputs.apply_minimum_billing and raw_wall < MIN_BILLING_SECONDS:
+        billed = MIN_BILLING_SECONDS
+        min_billing_applied = True
+    else:
+        billed = raw_wall
+        min_billing_applied = False
+
+    run_cost = billed * rate_per_second
+
+    raw_floor = max(0.0, inputs.critical_path_seconds)
+    if inputs.apply_minimum_billing:
+        floor_seconds = max(raw_floor, MIN_BILLING_SECONDS)
+    else:
+        floor_seconds = raw_floor
+    floor_cost = floor_seconds * rate_per_second
+
+    warehouse_seconds = raw_wall * max(1, inputs.thread_count)
+    idle_thread_seconds = max(0.0, warehouse_seconds - max(0.0, inputs.total_cpu_seconds))
+    waste_fraction = (
+        idle_thread_seconds / warehouse_seconds if warehouse_seconds > 0 else 0.0
+    )
+    idle_cost = run_cost * waste_fraction
+    headroom = max(0.0, run_cost - floor_cost)
+
+    return CostReport(
+        inputs=inputs,
+        billed_seconds=billed,
+        rate_per_second_usd=rate_per_second,
+        run_cost_usd=run_cost,
+        floor_cost_usd=floor_cost,
+        headroom_usd=headroom,
+        idle_thread_seconds=idle_thread_seconds,
+        waste_fraction=waste_fraction,
+        idle_cost_usd=idle_cost,
+        min_billing_applied=min_billing_applied,
+    )
+
+
+def cost_inputs_from_replay(
+    report: ReplayReport,
+    *,
+    warehouse_size: str | None,
+    credits_per_hour: float | None,
+    rate_per_credit_usd: float,
+    apply_minimum_billing: bool,
+) -> CostInputs:
+    """Adapt a ``ReplayReport`` + user flags into ``CostInputs``.
+
+    Exactly one of ``warehouse_size`` / ``credits_per_hour`` must be set;
+    the caller (CLI) enforces this.
+    """
+    if warehouse_size is not None and credits_per_hour is not None:
+        raise InvalidArtifactError(
+            "pass either warehouse_size or credits_per_hour, not both"
+        )
+    if warehouse_size is not None:
+        cph = credits_per_hour_for(warehouse_size)
+        label = warehouse_size.upper().replace("-", "").replace(" ", "").replace("_", "")
+        if label in _SIZE_ALIASES:
+            label = _SIZE_ALIASES[label]
+    elif credits_per_hour is not None:
+        if credits_per_hour <= 0:
+            raise InvalidArtifactError("credits_per_hour must be positive")
+        cph = float(credits_per_hour)
+        label = None
+    else:
+        raise InvalidArtifactError(
+            "cost inputs require warehouse_size or credits_per_hour"
+        )
+
+    return CostInputs(
+        wall_clock_seconds=report.wall_clock_seconds,
+        total_cpu_seconds=report.total_cpu_seconds,
+        thread_count=report.thread_count,
+        critical_path_seconds=report.critical_path_seconds,
+        credits_per_hour=cph,
+        rate_per_credit_usd=rate_per_credit_usd,
+        apply_minimum_billing=apply_minimum_billing,
+        warehouse_size_label=label,
+    )