Add seed rendering behavior support in Cosmos by tuantran0910 · Pull Request #2246 · astronomer/astronomer-cosmos

tuantran0910 · 2026-01-05T16:56:16Z

Description

This PR introduces a new SeedRenderingBehavior configuration option that allows users to control how dbt seed nodes are rendered in Airflow DAGs. Previously, Cosmos would always render seeds and attempt to run dbt seed. This new feature provides flexibility similar to how SourceRenderingBehavior works for source nodes.

Motivation

In most production scenarios, seeds do not need to be continuously run on every DAG execution. This feature allows users to:

Skip seed rendering entirely when seeds are managed outside of Cosmos
Only run seeds when the underlying CSV file has changed, optimizing DAG execution time
Maintain backward compatibility for users who want the original behavior

New Configuration Options

The seed_rendering_behavior parameter in RenderConfig accepts:

Value	Description
`ALWAYS`	Always render and run seeds (default behavior)
`NONE`	Don't render any seeds in DAG/TaskGroup
`WHEN_SEED_CHANGES`	Only execute seeds if the CSV file has changed since last successful run

How `WHEN_SEED_CHANGES` Works

At task execution time, computes a SHA256 hash of the seed CSV file
Compares against the stored hash (persisted as an Airflow Variable)
Skips execution if hashes match; runs the seed if they differ
Stores the new hash after successful execution

Test Behavior

Test behavior for seeds is now controlled exclusively via TestBehavior, not through SeedRenderingBehavior. This separation of concerns simplifies configuration:

# Run seeds with tests
RenderConfig(
    seed_rendering_behavior=SeedRenderingBehavior.ALWAYS,
    test_behavior=TestBehavior.AFTER_EACH,
)

# Run seeds without tests
RenderConfig(
    seed_rendering_behavior=SeedRenderingBehavior.ALWAYS,
    test_behavior=TestBehavior.NONE,
)

Example Usage

import datetime
from pathlib import Path

from airflow.providers.standard.operators.empty import EmptyOperator
from airflow.sdk import DAG, Asset, Param
from cosmos import DbtTaskGroup, ProjectConfig, ProfileConfig, ExecutionConfig, RenderConfig
from cosmos.constants import TestBehavior, ExecutionMode, SeedRenderingBehavior


# Paths configuration
DAGS_DIR = Path("/opt/airflow/dags")
DBT_PROJECT_PATH = DAGS_DIR / "dbt" / "jaffle_shop"
DBT_PROFILES_PATH = DBT_PROJECT_PATH / "profiles.yml"
DBT_MANIFEST_PATH = DBT_PROJECT_PATH / "target" / "manifest.json"
DBT_CATALOG_PATH = DBT_PROJECT_PATH / "target" / "catalog.json"
DBT_RUN_RESULTS_PATH = DBT_PROJECT_PATH / "target" / "run_results.json"

# Default arguments for the DAG
default_args = {'owner': 'data-team', 'depends_on_past': False, 'email_on_failure': False, 'email_on_retry': False, 'retries': 1, 'retry_delay': datetime.timedelta(seconds=300), 'priority_weight': 1, 'weight_rule': 'downstream', 'queue': 'default', 'pool': 'default_pool', 'email': ['data-team@example.com']}

# Profile configuration using profiles.yml file
profile_config = ProfileConfig(
    profile_name="jaffle_shop",
    target_name="production",
    profiles_yml_filepath=DBT_PROFILES_PATH,
)

# Execution configuration
execution_config = ExecutionConfig(
    dbt_executable_path="dbt",
    execution_mode=ExecutionMode.LOCAL
)

# Render configuration - select which models to run
render_config = RenderConfig(
    select=['path:models/staging', 'path:models/intermediate', 'path:models/marts', 'path:seeds/'],
    emit_datasets=True,
    test_behavior=TestBehavior.AFTER_EACH,
    seed_rendering_behavior=SeedRenderingBehavior.WHEN_SEED_CHANGES,
)

# Operator arguments - full_refresh is templated to use DAG params at runtime
operator_args = {
    # Use Jinja templating to read full_refresh from DAG params at runtime
    "full_refresh": "{{ params.full_refresh }}",
}

schedule="@daily"

# Create the DAG with full_refresh as a runtime parameter
dag = DAG(
    dag_id="dbt_jaffle_shop_core",
    description="Run all dbt transformations for jaffle_shop (4-level lineage)",
    default_args=default_args,
    schedule=schedule,
    start_date=datetime.datetime(2024, 1, 1),
    catchup=False,
    max_active_runs=1,
    tags=['dbt', 'jaffle_shop', 'full-pipeline', 'data-lineage'],
    params={
        "full_refresh": Param(
            default=False,
            type="boolean",
            description="Run dbt with --full-refresh flag to rebuild all incremental models",
        ),
    },
)

outlet_asset = Asset("dbt://dbt_jaffle_shop_core")

with dag:
    dbt_tasks = DbtTaskGroup(
        group_id="dbt_jaffle_shop",
        project_config=ProjectConfig(
            dbt_project_path=DBT_PROJECT_PATH,
        ),
        profile_config=profile_config,
        execution_config=execution_config,
        render_config=render_config,
        operator_args=operator_args,
    )

    emit_assets = EmptyOperator(
        task_id="emit_assets",
        outlets=[outlet_asset],
        trigger_rule="all_done",
    )

    dbt_tasks >> emit_assets

Related Issue(s)

Closes #1576

Additional

I don't really sure this is a good implementation, therefore, I am going to hearing for all suggestions if possible :D

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Copilot

Pull request overview

This PR introduces a new SeedRenderingBehavior configuration option that provides flexible control over how dbt seed nodes are rendered in Airflow DAGs. The feature addresses the common production scenario where seeds don't need to run on every DAG execution by offering three rendering modes: ALWAYS (default), NONE, and WHEN_SEED_CHANGES.

Key changes:

Added SeedRenderingBehavior enum with three options for controlling seed execution
Implemented seed change detection using SHA256 hashing with Airflow Variables for the WHEN_SEED_CHANGES mode
Extended test behavior separation so seeds and tests are configured independently via TestBehavior and SeedRenderingBehavior

Reviewed changes

Copilot reviewed 14 out of 14 changed files in this pull request and generated 6 comments.

Show a summary per file

File	Description
cosmos/constants.py	Added new `SeedRenderingBehavior` enum with ALWAYS, NONE, and WHEN_SEED_CHANGES options
cosmos/config.py	Added `seed_rendering_behavior` parameter to `RenderConfig` with ALWAYS as default
cosmos/dbt/seed.py	New module implementing seed change detection via file hashing and Airflow Variable storage
cosmos/dbt/graph.py	Updated Variable import to support both Airflow 2 and 3
cosmos/airflow/graph.py	Modified `create_task_metadata` to handle seed rendering behavior, including validation warning for incompatible TestBehavior.BUILD
cosmos/operators/local.py	Overrode `execute` method in `DbtSeedLocalOperator` to implement WHEN_SEED_CHANGES logic
cosmos/init.py	Exported `SeedRenderingBehavior` for public API
docs/configuration/seed-nodes-rendering.rst	Added comprehensive documentation for the seed rendering feature
docs/configuration/render-config.rst	Documented the new `seed_rendering_behavior` parameter
docs/configuration/index.rst	Added seed nodes rendering to configuration index
dev/dags/example_seed_rendering.py	Created example DAG demonstrating all seed rendering behaviors
tests/dbt/test_seed.py	Added comprehensive unit tests for seed change detection module
tests/dbt/test_graph.py	Updated Variable import for Airflow 2/3 compatibility
tests/airflow/test_graph.py	Added tests for seed rendering behavior and updated existing tests with the new parameter

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tatiana · 2026-01-29T12:22:58Z

HI @tuantran0910 thanks for the work here!
We noticed some checks are failing, please, let us know once those are fixed, so we can review this PR

tuantran0910 · 2026-01-30T04:47:16Z

HI @tuantran0910 thanks for the work here! We noticed some checks are failing, please, let us know once those are fixed, so we can review this PR

Hi @tatiana, I am going to fix them this weekend. Thanks for letting me know :D

tuantran0910 · 2026-02-10T16:38:10Z

Hi @tatiana, I have just pushed a new commit, can you enable to run the tests again? Thanks :D

Copilot

Pull request overview

Copilot reviewed 12 out of 12 changed files in this pull request and generated 4 comments.

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Pull request overview

Copilot reviewed 12 out of 12 changed files in this pull request and generated 2 comments.

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tuantran0910 · 2026-03-06T04:19:26Z

Hi @tatiana, can you enable to run the tests again? Thanks :D

codecov · 2026-03-16T12:56:11Z

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 97.99%. Comparing base (331b90a) to head (fcb2afc).
⚠️ Report is 4 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #2246      +/-   ##
==========================================
+ Coverage   97.97%   97.99%   +0.02%     
==========================================
  Files         103      104       +1     
  Lines        7455     7545      +90     
==========================================
+ Hits         7304     7394      +90     
  Misses        151      151

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tatiana · 2026-03-19T11:27:40Z

Hi @tuantran0910, Thanks a lot for working on this and getting all the tests passing! Please, could you:

rebase
add relevant tests so the coverage checks pass

We're planning to release Cosmos 1.14.0 next week, and I really would love to have this as part of it.

…ettings for "Always Render Seeds" and "Never Render Seeds".

…n seed.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

- Add test for hash computation failure in has_seed_changed() - Add test for seed unchanged skip behavior in DbtSeedLocalOperator - Remove unreachable warning for WHEN_SEED_CHANGES with BUILD - Fix DbtNode constructor arguments in test_graph.py tests Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

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Copilot · 2026-03-29T17:49:09Z

+@patch("cosmos.dbt.seed.has_seed_changed")
+def test_dbt_seed_local_operator_execute_skips_when_seed_unchanged(
+    mock_has_seed_changed, mock_update_hash, caplog, tmp_path
+):
+    """Test that DbtSeedLocalOperator.execute() skips the seed command when seed has not changed."""


Only the "seed unchanged" skip-path is covered for DbtSeedLocalOperator.execute. Add a complementary test for the changed-path (has_seed_changed=True) to assert build_and_run_cmd is called and update_seed_hash_after_run runs after a successful execution.

Copilot

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Copilot reviewed 12 out of 12 changed files in this pull request and generated 2 comments.

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Copilot · 2026-04-07T07:24:46Z

+    def execute(self, context: Context, **kwargs: Any) -> None:
+        from cosmos.constants import SeedRenderingBehavior
+        from cosmos.dbt.seed import has_seed_changed, update_seed_hash_after_run
+
+        # Check if we should detect seed changes
+        seed_rendering_behavior_value = self.extra_context.get("seed_rendering_behavior")
+        uses_seed_change_detection = seed_rendering_behavior_value == SeedRenderingBehavior.WHEN_SEED_CHANGES.value
+


DbtSeedLocalOperator previously inherited AbstractDbtBase.execute(), which merges extra_context into the Airflow context and honors settings.enable_debug_mode (memory tracking). Overriding execute() here bypasses that behavior, which can break templates/interceptors that rely on extra_context being present in context and makes debug-mode behavior inconsistent with other operators. Consider reusing the base execute logic (e.g., do the seed-change pre-check, then delegate to AbstractDbtBase.execute() for the actual run) or explicitly call context_merge + debug-mode handling in this override.

+1, Can we consider this please?

Copilot · 2026-04-07T07:24:47Z

+                self.build_and_run_cmd(context=context, cmd_flags=self.add_cmd_flags())
+                update_seed_hash_after_run(dag_task_group_identifier, node_unique_id, seed_file_path)
+                return
+
+        self.build_and_run_cmd(context=context, cmd_flags=self.add_cmd_flags())


This execute() method accepts **kwargs but does not forward them to build_and_run_cmd(). Other Local operators forward **kwargs (e.g., DbtBuildLocalOperator) and callers may rely on flags like push_run_results_to_xcom. Please pass **kwargs through on both build_and_run_cmd() calls to avoid regressions.

Suggested change

self.build_and_run_cmd(context=context, cmd_flags=self.add_cmd_flags())

update_seed_hash_after_run(dag_task_group_identifier, node_unique_id, seed_file_path)

return

self.build_and_run_cmd(context=context, cmd_flags=self.add_cmd_flags())

self.build_and_run_cmd(context=context, cmd_flags=self.add_cmd_flags(), **kwargs)

update_seed_hash_after_run(dag_task_group_identifier, node_unique_id, seed_file_path)

return

self.build_and_run_cmd(context=context, cmd_flags=self.add_cmd_flags(), **kwargs)

tatiana · 2026-04-07T15:29:47Z

Hi @tuantran0910,

The past few weeks have been busier than usual, and we haven’t been able to review this PR with the attention it deserves - apologies for that. Thanks for fixing all the checks.

When you get a chance, could you please:

Rebase the branch
Address the Copilot feedback

We’re planning to release Cosmos 1.15 in about a month, and I’d really like to include this improvement. We’ll make sure to review it promptly and provide any necessary feedback so it can be part of the release.

tuantran0910 · 2026-04-28T02:27:47Z

Hi @tuantran0910,

The past few weeks have been busier than usual, and we haven’t been able to review this PR with the attention it deserves - apologies for that. Thanks for fixing all the checks.

When you get a chance, could you please:

Rebase the branch

Address the Copilot feedback

We’re planning to release Cosmos 1.15 in about a month, and I’d really like to include this improvement. We’ll make sure to review it promptly and provide any necessary feedback so it can be part of the release.

I will be back to this PR this weekend, thank @tatiana a lot :D

pankajkoti

Thanks for the contribution @tuantran0910. I have some questions inline.

Also, I guess with this, we're populating the Variables per seed per DAG ? Can we also give a thought to how we can clean it up?

Currently, I haven't thought enough on the feasibility, but as an alternative to this approach, do you think we could leverage dbt seed --select state:modified+ somehow? That would help us avoid computing and storing hashes and populating the Variables.

pankajkoti · 2026-05-05T11:01:26Z

+    def execute(self, context: Context, **kwargs: Any) -> None:
+        from cosmos.constants import SeedRenderingBehavior
+        from cosmos.dbt.seed import has_seed_changed, update_seed_hash_after_run
+
+        # Check if we should detect seed changes
+        seed_rendering_behavior_value = self.extra_context.get("seed_rendering_behavior")
+        uses_seed_change_detection = seed_rendering_behavior_value == SeedRenderingBehavior.WHEN_SEED_CHANGES.value
+


+1, Can we consider this please?

pankajkoti · 2026-05-05T11:03:58Z

+.. warning::
+    **Limitations of** ``when_seed_changes``:
+
+    - Only supported with ``ExecutionMode.LOCAL``. Other execution modes (Docker, Kubernetes, etc.) cannot access the seed CSV files from the Airflow worker.


Through the code, we canraise CosmosValueError when seed_rendering_behavior == WHEN_SEED_CHANGES and execution_mode != LOCAL. WDYT?

pankajkoti · 2026-05-05T11:09:25Z

Can we narrow down the exceptions caught in various methods in this module so that we do not use bare Exception class, please?

Also, should we mark all the methods in the module non-public by prefixing with underscores?

pankajkoti · 2026-05-05T11:19:17Z

+        SeedRenderingBehavior.WHEN_SEED_CHANGES,
+    ],
+)
+def test_create_task_metadata_seed_with_build_test_behavior(seed_rendering_behavior):


What is the expected behaviour when TestBehaviour.BUILD + SeedRenderingBehavior.WHEN_SEED_CHANGES?. Since the base class for TestBehaviour.BUILD is DbtBuildLocalOperator, and I guess I don't see any override in it, it will be a no-op for SeedRenderingBehavior.WHEN_SEED_CHANGES, meaning this seed rendering behaviour will not come into effect?

pankajkoti · 2026-05-26T12:41:17Z

Hi @tuantran0910, following up to check if you have thoughts on my review comments and if you'd like to discuss something there?

@tuantran0910

## Description Adds a `seed_rendering_behavior` option to `RenderConfig`, giving control over how Cosmos renders and runs dbt seeds (analogous to `source_rendering_behavior`): - `ALWAYS` (default): render the seed and run `dbt seed` on every execution (the original Cosmos behaviour). - `WHEN_SEED_CHANGES`: render the seed, but only run `dbt seed` when its CSV content has changed since the last successful run. The checksum is read from dbt's manifest (falling back to hashing the CSV) and the last-seen value is persisted as an Airflow Variable scoped per `DbtDag`/`DbtTaskGroup` and seed. Supported for `ExecutionMode.LOCAL`, `VIRTUALENV` and `AIRFLOW_ASYNC`, and incompatible with `TestBehavior.BUILD`; both raise `CosmosValueError`. - `RENDER_ONLY`: render the seed as a no-op `EmptyOperator` placeholder. - `NONE`: do not render the seed at all. The gate runs before the `TestBehavior.BUILD` branch so `NONE`/`RENDER_ONLY` are honoured under every test behaviour. On an unchanged run the seed task succeeds without running `dbt seed`, without emitting its dataset, and without skip-propagating downstream. Change detection delegates to `AbstractDbtBase.execute()`, preserving `extra_context`, debug-mode tracking and `**kwargs`. Under `ExecutionMode.WATCHER` a single `dbt build` runs all seeds regardless of this setting; only `ALWAYS` is meaningful there. Fresh implementation building on the approach explored in #2246 by @tuantran0910. ## Related Issue(s) Closes #1576 🤖 Generated with [Claude Code](https://claude.com/claude-code)

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tuantran0910 and others added 9 commits March 30, 2026 00:45

Update documentation for seed rendering options, clarifying default s…

bba87ea

…ettings for "Always Render Seeds" and "Never Render Seeds".

Clarify documentation for WHEN_SEED_CHANGES seed rendering behavior i…

80ca50e

…n seed.py

Refactor Airflow Variable import and update seed hash retrieval

3ab1802

Update docs/configuration/seed-nodes-rendering.rst

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tatiana modified the milestones: Cosmos 1.14.0, Cosmos 1.15.0 Apr 7, 2026

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pankajkoti mentioned this pull request Jun 2, 2026

Add configurable seed rendering behavior #2755

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Description

Motivation

New Configuration Options

How WHEN_SEED_CHANGES Works

Test Behavior

Example Usage

Related Issue(s)

Additional

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How `WHEN_SEED_CHANGES` Works

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