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diff --git a/.gitignore b/.gitignore
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--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/dagster-1.2.6.tar.gz
diff --git a/python-dagster.spec b/python-dagster.spec
new file mode 100644
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+++ b/python-dagster.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-dagster
+Version:	1.2.6
+Release:	1
+Summary:	The data orchestration platform built for productivity.
+License:	Apache-2.0
+URL:		https://dagster.io
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/e7/36/50f856c3892ea03ead3a6913ef60e1c107bf84eb585d7a5282e28d2b3d96/dagster-1.2.6.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-click
+Requires:	python3-coloredlogs
+Requires:	python3-Jinja2
+Requires:	python3-PyYAML
+Requires:	python3-alembic
+Requires:	python3-croniter
+Requires:	python3-grpcio-health-checking
+Requires:	python3-packaging
+Requires:	python3-pendulum
+Requires:	python3-protobuf
+Requires:	python3-dateutil
+Requires:	python3-dotenv
+Requires:	python3-pytz
+Requires:	python3-requests
+Requires:	python3-setuptools
+Requires:	python3-tabulate
+Requires:	python3-tomli
+Requires:	python3-tqdm
+Requires:	python3-typing-extensions
+Requires:	python3-sqlalchemy
+Requires:	python3-toposort
+Requires:	python3-watchdog
+Requires:	python3-docstring-parser
+Requires:	python3-universal-pathlib
+Requires:	python3-pydantic
+Requires:	python3-psutil
+Requires:	python3-pywin32
+Requires:	python3-grpcio
+Requires:	python3-contextvars
+Requires:	python3-grpcio
+Requires:	python3-black[jupyter]
+Requires:	python3-docker
+Requires:	python3-mypy
+Requires:	python3-pyright
+Requires:	python3-pandas-stubs
+Requires:	python3-types-backports
+Requires:	python3-types-certifi
+Requires:	python3-types-chardet
+Requires:	python3-types-croniter
+Requires:	python3-types-cryptography
+Requires:	python3-types-mock
+Requires:	python3-types-paramiko
+Requires:	python3-types-pkg-resources
+Requires:	python3-types-pyOpenSSL
+Requires:	python3-types-python-dateutil
+Requires:	python3-types-PyYAML
+Requires:	python3-types-pytz
+Requires:	python3-types-requests
+Requires:	python3-types-simplejson
+Requires:	python3-types-six
+Requires:	python3-types-sqlalchemy
+Requires:	python3-types-tabulate
+Requires:	python3-types-tzlocal
+Requires:	python3-types-toml
+Requires:	python3-ruff
+Requires:	python3-docker
+Requires:	python3-grpcio-tools
+Requires:	python3-mock
+Requires:	python3-objgraph
+Requires:	python3-pytest-cov
+Requires:	python3-pytest-dependency
+Requires:	python3-pytest-mock
+Requires:	python3-pytest-rerunfailures
+Requires:	python3-pytest-runner
+Requires:	python3-pytest-xdist
+Requires:	python3-pytest
+Requires:	python3-responses
+Requires:	python3-snapshottest
+Requires:	python3-tox
+Requires:	python3-yamllint
+Requires:	python3-buildkite-test-collector
+
+%description
+<div align="center">
+  <!-- Note: Do not try adding the dark mode version here with the `picture` element, it will break formatting in PyPI -->
+  <a target="_blank" href="https://dagster.io" style="background:none">
+    <img alt="dagster logo" src=".github/dagster-readme-header.svg" width="auto" height="100%">
+  </a>
+<p style="text-align: center;">Remember to <a target="_blank" href="https://github.com/dagster-io/dagster">star the Dagster GitHub repo</a> for future reference.</p>
+  <a target="_blank" href="https://github.com/dagster-io/dagster" style="background:none">
+    <img src="https://img.shields.io/github/stars/dagster-io/dagster?labelColor=4F43DD&color=163B36&logo=github">
+  </a>
+  <a target="_blank" href="https://github.com/dagster-io/dagster/blob/master/LICENSE" style="background:none">
+    <img src="https://img.shields.io/badge/License-Apache_2.0-blue.svg?label=license&labelColor=4F43DD&color=163B36">
+  </a>
+  <a target="_blank" href="https://pypi.org/project/dagster/" style="background:none">
+    <img src="https://img.shields.io/pypi/v/dagster?labelColor=4F43DD&color=163B36">
+  </a>
+  <a target="_blank" href="https://pypi.org/project/dagster/" style="background:none">
+    <img src="https://img.shields.io/pypi/pyversions/dagster?labelColor=4F43DD&color=163B36">
+  </a>
+  <a target="_blank" href="https://twitter.com/dagster" style="background:none">
+    <img src="https://img.shields.io/badge/twitter-dagster-blue.svg?labelColor=4F43DD&color=163B36&logo=twitter" />
+  </a>
+  <a target="_blank" href="https://dagster.io/slack" style="background:none">
+    <img src="https://img.shields.io/badge/slack-dagster-blue.svg?labelColor=4F43DD&color=163B36&logo=slack" />
+  </a>
+  <a target="_blank" href="https://linkedin.com/showcase/dagster" style="background:none">
+    <img src="https://img.shields.io/badge/linkedin-dagster-blue.svg?labelColor=4F43DD&color=163B36&logo=linkedin" />
+  </a>
+</div>
+
+__Dagster is a cloud-native data pipeline orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.__
+
+It is designed for **developing and maintaining data assets**, such as tables, data sets, machine learning models, and reports.
+
+With Dagster, you declare—as Python functions—the data assets that you want to build. Dagster then helps you run your functions at the right time and keep your assets up-to-date.
+
+Here is an example of a graph of three assets defined in Python:
+
+```python
+from dagster import asset
+from pandas import DataFrame, read_html, get_dummies
+from sklearn.linear_model import LinearRegression
+
+@asset
+def country_populations() -> DataFrame:
+    df = read_html("https://tinyurl.com/mry64ebh")[0]
+    df.columns = ["country", "continent", "rg", "pop2018", "pop2019", "change"]
+    df["change"] = df["change"].str.rstrip("%").str.replace("−", "-").astype("float")
+    return df
+
+@asset
+def continent_change_model(country_populations: DataFrame) -> LinearRegression:
+    data = country_populations.dropna(subset=["change"])
+    return LinearRegression().fit(get_dummies(data[["continent"]]), data["change"])
+
+@asset
+def continent_stats(country_populations: DataFrame, continent_change_model: LinearRegression) -> DataFrame:
+    result = country_populations.groupby("continent").sum()
+    result["pop_change_factor"] = continent_change_model.coef_
+    return result
+```
+The graph loaded into Dagster's web UI:
+
+<p align="center">
+  <img width="400px" alt="An example asset graph as rendered in the Dagster UI" src="https://user-images.githubusercontent.com/654855/183537484-48dde394-91f2-4de0-9b17-a70b3e9a3823.png">
+</p>
+
+Dagster is built to be used at every stage of the data development lifecycle - local development, unit tests, integration tests, staging environments, all the way up to production.
+
+## Quick Start:
+
+If you're new to Dagster, we recommend reading about its [core concepts](https://docs.dagster.io/concepts) or learning with the hands-on [tutorial](https://docs.dagster.io/tutorial).
+
+Dagster is available on PyPI and officially supports Python 3.7+.
+
+```bash
+pip install dagster dagit
+```
+
+This installs two modules:
+
+- **Dagster**: The core programming model.
+- **Dagit**: The web interface for developing and operating Dagster jobs and assets.
+
+Running on Using a Mac with an M1 or M2 chip? Check the [install details here](https://docs.dagster.io/getting-started/install#installing-dagster-into-an-existing-python-environment).
+
+## Documentation
+
+You can find the full Dagster documentation [here](https://docs.dagster.io), including the ['getting started' guide](https://docs.dagster.io/getting-started).
+
+<hr/>
+
+## Key Features:
+
+  <p align="center">
+    <img width="100%" alt="image" src=".github/key-features-cards.svg">
+  </p>
+
+### Dagster as a productivity platform
+Identify the key assets you need to create using a declarative approach, or you can focus on running basic tasks. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.
+
+### Dagster as a robust orchestration engine
+Put your pipelines into production with a robust multi-tenant, multi-tool engine that scales technically and organizationally.
+
+### Dagster as a unified control plane
+Maintain control over your data as the complexity scales. Centralize your metadata in one tool with built-in observability, diagnostics, cataloging, and lineage. Spot any issues and identify performance improvement opportunities.
+
+<hr />
+
+## Master the Modern Data Stack with integrations
+
+Dagster provides a growing library of integrations for today’s most popular data tools. Integrate with the tools you already use, and deploy to your infrastructure.
+
+<br/>
+<p align="center">
+    <a target="_blank" href="https://dagster.io/integrations" style="background:none">
+        <img width="100%" alt="image" src=".github/integrations-bar-for-readme.png">
+    </a>
+</p>
+
+## Community
+
+Connect with thousands of other data practitioners building with Dagster. Share knowledge, get help,
+and contribute to the open-source project. To see featured material and upcoming events, check out
+our [Dagster Community](https://dagster.io/community) page.
+
+Join our community here:
+
+- 🌟 [Star us on Github](https://github.com/dagster-io/dagster)
+- 📥 [Subscribe to our Newsletter](https://dagster.io/newsletter-signup)
+- 🐦 [Follow us on Twitter](https://twitter.com/dagster)
+- 🕴️ [Follow us on LinkedIn](https://linkedin.com/showcase/dagster)
+- 📺 [Subscribe to our YouTube channel](https://www.youtube.com/channel/UCfLnv9X8jyHTe6gJ4hVBo9Q)
+- 📚 [Read our blog posts](https://dagster.io/blog)
+- 👋 [Join us on Slack](https://dagster.io/slack)
+- 🗃 [Browse Slack archives](https://discuss.dagster.io)
+- ✏️ [Start a Github Discussion](https://github.com/dagster-io/dagster/discussions)
+
+## Contributing
+
+For details on contributing or running the project for development, check out our [contributing
+guide](https://docs.dagster.io/community/contributing/).
+
+## License
+
+Dagster is [Apache 2.0 licensed](https://github.com/dagster-io/dagster/blob/master/LICENSE).
+
+
+%package -n python3-dagster
+Summary:	The data orchestration platform built for productivity.
+Provides:	python-dagster
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-dagster
+<div align="center">
+  <!-- Note: Do not try adding the dark mode version here with the `picture` element, it will break formatting in PyPI -->
+  <a target="_blank" href="https://dagster.io" style="background:none">
+    <img alt="dagster logo" src=".github/dagster-readme-header.svg" width="auto" height="100%">
+  </a>
+<p style="text-align: center;">Remember to <a target="_blank" href="https://github.com/dagster-io/dagster">star the Dagster GitHub repo</a> for future reference.</p>
+  <a target="_blank" href="https://github.com/dagster-io/dagster" style="background:none">
+    <img src="https://img.shields.io/github/stars/dagster-io/dagster?labelColor=4F43DD&color=163B36&logo=github">
+  </a>
+  <a target="_blank" href="https://github.com/dagster-io/dagster/blob/master/LICENSE" style="background:none">
+    <img src="https://img.shields.io/badge/License-Apache_2.0-blue.svg?label=license&labelColor=4F43DD&color=163B36">
+  </a>
+  <a target="_blank" href="https://pypi.org/project/dagster/" style="background:none">
+    <img src="https://img.shields.io/pypi/v/dagster?labelColor=4F43DD&color=163B36">
+  </a>
+  <a target="_blank" href="https://pypi.org/project/dagster/" style="background:none">
+    <img src="https://img.shields.io/pypi/pyversions/dagster?labelColor=4F43DD&color=163B36">
+  </a>
+  <a target="_blank" href="https://twitter.com/dagster" style="background:none">
+    <img src="https://img.shields.io/badge/twitter-dagster-blue.svg?labelColor=4F43DD&color=163B36&logo=twitter" />
+  </a>
+  <a target="_blank" href="https://dagster.io/slack" style="background:none">
+    <img src="https://img.shields.io/badge/slack-dagster-blue.svg?labelColor=4F43DD&color=163B36&logo=slack" />
+  </a>
+  <a target="_blank" href="https://linkedin.com/showcase/dagster" style="background:none">
+    <img src="https://img.shields.io/badge/linkedin-dagster-blue.svg?labelColor=4F43DD&color=163B36&logo=linkedin" />
+  </a>
+</div>
+
+__Dagster is a cloud-native data pipeline orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.__
+
+It is designed for **developing and maintaining data assets**, such as tables, data sets, machine learning models, and reports.
+
+With Dagster, you declare—as Python functions—the data assets that you want to build. Dagster then helps you run your functions at the right time and keep your assets up-to-date.
+
+Here is an example of a graph of three assets defined in Python:
+
+```python
+from dagster import asset
+from pandas import DataFrame, read_html, get_dummies
+from sklearn.linear_model import LinearRegression
+
+@asset
+def country_populations() -> DataFrame:
+    df = read_html("https://tinyurl.com/mry64ebh")[0]
+    df.columns = ["country", "continent", "rg", "pop2018", "pop2019", "change"]
+    df["change"] = df["change"].str.rstrip("%").str.replace("−", "-").astype("float")
+    return df
+
+@asset
+def continent_change_model(country_populations: DataFrame) -> LinearRegression:
+    data = country_populations.dropna(subset=["change"])
+    return LinearRegression().fit(get_dummies(data[["continent"]]), data["change"])
+
+@asset
+def continent_stats(country_populations: DataFrame, continent_change_model: LinearRegression) -> DataFrame:
+    result = country_populations.groupby("continent").sum()
+    result["pop_change_factor"] = continent_change_model.coef_
+    return result
+```
+The graph loaded into Dagster's web UI:
+
+<p align="center">
+  <img width="400px" alt="An example asset graph as rendered in the Dagster UI" src="https://user-images.githubusercontent.com/654855/183537484-48dde394-91f2-4de0-9b17-a70b3e9a3823.png">
+</p>
+
+Dagster is built to be used at every stage of the data development lifecycle - local development, unit tests, integration tests, staging environments, all the way up to production.
+
+## Quick Start:
+
+If you're new to Dagster, we recommend reading about its [core concepts](https://docs.dagster.io/concepts) or learning with the hands-on [tutorial](https://docs.dagster.io/tutorial).
+
+Dagster is available on PyPI and officially supports Python 3.7+.
+
+```bash
+pip install dagster dagit
+```
+
+This installs two modules:
+
+- **Dagster**: The core programming model.
+- **Dagit**: The web interface for developing and operating Dagster jobs and assets.
+
+Running on Using a Mac with an M1 or M2 chip? Check the [install details here](https://docs.dagster.io/getting-started/install#installing-dagster-into-an-existing-python-environment).
+
+## Documentation
+
+You can find the full Dagster documentation [here](https://docs.dagster.io), including the ['getting started' guide](https://docs.dagster.io/getting-started).
+
+<hr/>
+
+## Key Features:
+
+  <p align="center">
+    <img width="100%" alt="image" src=".github/key-features-cards.svg">
+  </p>
+
+### Dagster as a productivity platform
+Identify the key assets you need to create using a declarative approach, or you can focus on running basic tasks. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.
+
+### Dagster as a robust orchestration engine
+Put your pipelines into production with a robust multi-tenant, multi-tool engine that scales technically and organizationally.
+
+### Dagster as a unified control plane
+Maintain control over your data as the complexity scales. Centralize your metadata in one tool with built-in observability, diagnostics, cataloging, and lineage. Spot any issues and identify performance improvement opportunities.
+
+<hr />
+
+## Master the Modern Data Stack with integrations
+
+Dagster provides a growing library of integrations for today’s most popular data tools. Integrate with the tools you already use, and deploy to your infrastructure.
+
+<br/>
+<p align="center">
+    <a target="_blank" href="https://dagster.io/integrations" style="background:none">
+        <img width="100%" alt="image" src=".github/integrations-bar-for-readme.png">
+    </a>
+</p>
+
+## Community
+
+Connect with thousands of other data practitioners building with Dagster. Share knowledge, get help,
+and contribute to the open-source project. To see featured material and upcoming events, check out
+our [Dagster Community](https://dagster.io/community) page.
+
+Join our community here:
+
+- 🌟 [Star us on Github](https://github.com/dagster-io/dagster)
+- 📥 [Subscribe to our Newsletter](https://dagster.io/newsletter-signup)
+- 🐦 [Follow us on Twitter](https://twitter.com/dagster)
+- 🕴️ [Follow us on LinkedIn](https://linkedin.com/showcase/dagster)
+- 📺 [Subscribe to our YouTube channel](https://www.youtube.com/channel/UCfLnv9X8jyHTe6gJ4hVBo9Q)
+- 📚 [Read our blog posts](https://dagster.io/blog)
+- 👋 [Join us on Slack](https://dagster.io/slack)
+- 🗃 [Browse Slack archives](https://discuss.dagster.io)
+- ✏️ [Start a Github Discussion](https://github.com/dagster-io/dagster/discussions)
+
+## Contributing
+
+For details on contributing or running the project for development, check out our [contributing
+guide](https://docs.dagster.io/community/contributing/).
+
+## License
+
+Dagster is [Apache 2.0 licensed](https://github.com/dagster-io/dagster/blob/master/LICENSE).
+
+
+%package help
+Summary:	Development documents and examples for dagster
+Provides:	python3-dagster-doc
+%description help
+<div align="center">
+  <!-- Note: Do not try adding the dark mode version here with the `picture` element, it will break formatting in PyPI -->
+  <a target="_blank" href="https://dagster.io" style="background:none">
+    <img alt="dagster logo" src=".github/dagster-readme-header.svg" width="auto" height="100%">
+  </a>
+<p style="text-align: center;">Remember to <a target="_blank" href="https://github.com/dagster-io/dagster">star the Dagster GitHub repo</a> for future reference.</p>
+  <a target="_blank" href="https://github.com/dagster-io/dagster" style="background:none">
+    <img src="https://img.shields.io/github/stars/dagster-io/dagster?labelColor=4F43DD&color=163B36&logo=github">
+  </a>
+  <a target="_blank" href="https://github.com/dagster-io/dagster/blob/master/LICENSE" style="background:none">
+    <img src="https://img.shields.io/badge/License-Apache_2.0-blue.svg?label=license&labelColor=4F43DD&color=163B36">
+  </a>
+  <a target="_blank" href="https://pypi.org/project/dagster/" style="background:none">
+    <img src="https://img.shields.io/pypi/v/dagster?labelColor=4F43DD&color=163B36">
+  </a>
+  <a target="_blank" href="https://pypi.org/project/dagster/" style="background:none">
+    <img src="https://img.shields.io/pypi/pyversions/dagster?labelColor=4F43DD&color=163B36">
+  </a>
+  <a target="_blank" href="https://twitter.com/dagster" style="background:none">
+    <img src="https://img.shields.io/badge/twitter-dagster-blue.svg?labelColor=4F43DD&color=163B36&logo=twitter" />
+  </a>
+  <a target="_blank" href="https://dagster.io/slack" style="background:none">
+    <img src="https://img.shields.io/badge/slack-dagster-blue.svg?labelColor=4F43DD&color=163B36&logo=slack" />
+  </a>
+  <a target="_blank" href="https://linkedin.com/showcase/dagster" style="background:none">
+    <img src="https://img.shields.io/badge/linkedin-dagster-blue.svg?labelColor=4F43DD&color=163B36&logo=linkedin" />
+  </a>
+</div>
+
+__Dagster is a cloud-native data pipeline orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.__
+
+It is designed for **developing and maintaining data assets**, such as tables, data sets, machine learning models, and reports.
+
+With Dagster, you declare—as Python functions—the data assets that you want to build. Dagster then helps you run your functions at the right time and keep your assets up-to-date.
+
+Here is an example of a graph of three assets defined in Python:
+
+```python
+from dagster import asset
+from pandas import DataFrame, read_html, get_dummies
+from sklearn.linear_model import LinearRegression
+
+@asset
+def country_populations() -> DataFrame:
+    df = read_html("https://tinyurl.com/mry64ebh")[0]
+    df.columns = ["country", "continent", "rg", "pop2018", "pop2019", "change"]
+    df["change"] = df["change"].str.rstrip("%").str.replace("−", "-").astype("float")
+    return df
+
+@asset
+def continent_change_model(country_populations: DataFrame) -> LinearRegression:
+    data = country_populations.dropna(subset=["change"])
+    return LinearRegression().fit(get_dummies(data[["continent"]]), data["change"])
+
+@asset
+def continent_stats(country_populations: DataFrame, continent_change_model: LinearRegression) -> DataFrame:
+    result = country_populations.groupby("continent").sum()
+    result["pop_change_factor"] = continent_change_model.coef_
+    return result
+```
+The graph loaded into Dagster's web UI:
+
+<p align="center">
+  <img width="400px" alt="An example asset graph as rendered in the Dagster UI" src="https://user-images.githubusercontent.com/654855/183537484-48dde394-91f2-4de0-9b17-a70b3e9a3823.png">
+</p>
+
+Dagster is built to be used at every stage of the data development lifecycle - local development, unit tests, integration tests, staging environments, all the way up to production.
+
+## Quick Start:
+
+If you're new to Dagster, we recommend reading about its [core concepts](https://docs.dagster.io/concepts) or learning with the hands-on [tutorial](https://docs.dagster.io/tutorial).
+
+Dagster is available on PyPI and officially supports Python 3.7+.
+
+```bash
+pip install dagster dagit
+```
+
+This installs two modules:
+
+- **Dagster**: The core programming model.
+- **Dagit**: The web interface for developing and operating Dagster jobs and assets.
+
+Running on Using a Mac with an M1 or M2 chip? Check the [install details here](https://docs.dagster.io/getting-started/install#installing-dagster-into-an-existing-python-environment).
+
+## Documentation
+
+You can find the full Dagster documentation [here](https://docs.dagster.io), including the ['getting started' guide](https://docs.dagster.io/getting-started).
+
+<hr/>
+
+## Key Features:
+
+  <p align="center">
+    <img width="100%" alt="image" src=".github/key-features-cards.svg">
+  </p>
+
+### Dagster as a productivity platform
+Identify the key assets you need to create using a declarative approach, or you can focus on running basic tasks. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.
+
+### Dagster as a robust orchestration engine
+Put your pipelines into production with a robust multi-tenant, multi-tool engine that scales technically and organizationally.
+
+### Dagster as a unified control plane
+Maintain control over your data as the complexity scales. Centralize your metadata in one tool with built-in observability, diagnostics, cataloging, and lineage. Spot any issues and identify performance improvement opportunities.
+
+<hr />
+
+## Master the Modern Data Stack with integrations
+
+Dagster provides a growing library of integrations for today’s most popular data tools. Integrate with the tools you already use, and deploy to your infrastructure.
+
+<br/>
+<p align="center">
+    <a target="_blank" href="https://dagster.io/integrations" style="background:none">
+        <img width="100%" alt="image" src=".github/integrations-bar-for-readme.png">
+    </a>
+</p>
+
+## Community
+
+Connect with thousands of other data practitioners building with Dagster. Share knowledge, get help,
+and contribute to the open-source project. To see featured material and upcoming events, check out
+our [Dagster Community](https://dagster.io/community) page.
+
+Join our community here:
+
+- 🌟 [Star us on Github](https://github.com/dagster-io/dagster)
+- 📥 [Subscribe to our Newsletter](https://dagster.io/newsletter-signup)
+- 🐦 [Follow us on Twitter](https://twitter.com/dagster)
+- 🕴️ [Follow us on LinkedIn](https://linkedin.com/showcase/dagster)
+- 📺 [Subscribe to our YouTube channel](https://www.youtube.com/channel/UCfLnv9X8jyHTe6gJ4hVBo9Q)
+- 📚 [Read our blog posts](https://dagster.io/blog)
+- 👋 [Join us on Slack](https://dagster.io/slack)
+- 🗃 [Browse Slack archives](https://discuss.dagster.io)
+- ✏️ [Start a Github Discussion](https://github.com/dagster-io/dagster/discussions)
+
+## Contributing
+
+For details on contributing or running the project for development, check out our [contributing
+guide](https://docs.dagster.io/community/contributing/).
+
+## License
+
+Dagster is [Apache 2.0 licensed](https://github.com/dagster-io/dagster/blob/master/LICENSE).
+
+
+%prep
+%autosetup -n dagster-1.2.6
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-dagster -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2.6-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..ff12f5b
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+d07966273bebcf30ddf67b226a30f458  dagster-1.2.6.tar.gz