Rename sf hamilton to apache hamilton

.claude-plugin/skills/observability/SKILL.md

@@ -26,7 +26,7 @@ Hamilton UI is a web-based dashboard for:
 ### 1. Install Hamilton with UI Support
 
 ```bash
-pip install "sf-hamilton[sdk,ui]"
+pip install "apache-hamilton[sdk,ui]"
 ```
 
 ### 2. Start the Hamilton UI

.github/PULL_REQUEST_TEMPLATE.md

@@ -2,8 +2,8 @@
 
 --- PR TEMPLATE INSTRUCTIONS (1) ---
 
-Looking to submit a Apache Hamilton Dataflow to the sf-hamilton-contrib module? If so go the the `Preview` tab and select the appropriate sub-template:
-* [sf-hamilton-contrib template](?expand=1&template=HAMILTON_CONTRIB_PR_TEMPLATE.md)
+Looking to submit a Apache Hamilton Dataflow to the apache-hamilton-contrib module? If so go the the `Preview` tab and select the appropriate sub-template:
+* [apache-hamilton-contrib template](?expand=1&template=HAMILTON_CONTRIB_PR_TEMPLATE.md)
 
 Else, if not, please remove this block of text.
 

.github/workflows/contrib-auto-build-publish.yml

@@ -11,7 +11,7 @@ jobs:
   publish-to-pypi:
     runs-on: ubuntu-latest
     # Specifying a GitHub environment is optional, but strongly encouraged
-    environment: sf-hamilton-contrib-publishing-environment
+    environment: apache-hamilton-contrib-publishing-environment
     permissions:
       # IMPORTANT: this permission is mandatory for trusted publishing
       id-token: write

.github/workflows/docusaurus-gh-pages.yml

@@ -34,7 +34,6 @@ jobs:
         uses: actions/checkout@v3
         with:
           fetch-depth: 1000
-      # 👇 Build steps
       - name: Set up Python 3.10
         uses: actions/setup-python@v4
         with:
@@ -51,19 +50,14 @@ jobs:
         uses: actions/setup-node@v3
         with:
           node-version: 20.x
-          cache: yarn
-          # The action defaults to search for the dependency file
-          # (package-lock.json or yarn.lock) in the repository root, and uses
-          # its hash as a part of the cache key.
-          # https://github.com/actions/setup-node#caching-packages-dependencies
+          cache: npm
           cache-dependency-path: "./contrib/docs/package-lock.json"
       - name: Install dependencies
         working-directory: contrib/docs
-        run: yarn install --frozen-lockfile --non-interactive
+        run: npm ci
       - name: Build
         working-directory: contrib/docs
-        run: yarn build
-      # 👆 Build steps
+        run: npm run build
   deploy:
     if: ${{ github.ref == 'refs/heads/main' }}
     environment:
@@ -92,19 +86,14 @@ jobs:
         uses: actions/setup-node@v3
         with:
           node-version: 20.x
-          cache: yarn
-          # The action defaults to search for the dependency file
-          # (package-lock.json or yarn.lock) in the repository root, and uses
-          # its hash as a part of the cache key.
-          # https://github.com/actions/setup-node#caching-packages-dependencies
+          cache: npm
           cache-dependency-path: "./contrib/docs/package-lock.json"
       - name: Install dependencies
         working-directory: contrib/docs
-        run: yarn install --frozen-lockfile --non-interactive
+        run: npm ci
       - name: Build
         working-directory: contrib/docs
-        run: yarn build
-      # 👆 Build steps
+        run: npm run build
       - name: Setup Pages
         uses: actions/configure-pages@v3
       - name: Upload artifact

.github/workflows/hamilton-ui-build-and-push.yml

@@ -22,10 +22,10 @@ jobs:
       - name: Install jq
         run: sudo apt-get update && sudo apt-get install -y jq
 
-      - name: Check latest version of sf-hamilton-ui
+      - name: Check latest version of apache-hamilton-ui
         id: check_version
         run: |
-          response=$(curl -s https://pypi.org/pypi/sf-hamilton-ui/json)
+          response=$(curl -s https://pypi.org/pypi/apache-hamilton-ui/json)
           version=$(echo "$response" | jq -r '.info.version')
           echo "latest_version=$version" >> $GITHUB_ENV
 

README.md

@@ -24,14 +24,14 @@ under the License.
    </a><a href="https://www.python.org/downloads/" target="_blank">
       <img src="https://img.shields.io/badge/python-3.10%20|%203.11%20|%203.12%20|%203.13%20|%203.14-blue.svg" alt="Python supported"/>
    </a>
-   <a href="https://pypi.org/project/sf-hamilton/" target="_blank">
-      <img src="https://badge.fury.io/py/sf-hamilton.svg" alt="PyPi Version"/>
+   <a href="https://pypi.org/project/apache-hamilton/" target="_blank">
+      <img src="https://badge.fury.io/py/apache-hamilton.svg" alt="PyPi Version"/>
    </a>
-   <a href="https://pepy.tech/project/sf-hamilton" target="_blank">
-      <img src="https://pepy.tech/badge/sf-hamilton" alt="Total Downloads"/>
+   <a href="https://pepy.tech/project/apache-hamilton" target="_blank">
+      <img src="https://pepy.tech/badge/apache-hamilton" alt="Total Downloads"/>
    </a>
-   <a href="https://pepy.tech/project/sf-hamilton" target="_blank">
-      <img src="https://static.pepy.tech/badge/sf-hamilton/month" alt="Total Monthly Downloads"/>
+   <a href="https://pepy.tech/project/apache-hamilton" target="_blank">
+      <img src="https://static.pepy.tech/badge/apache-hamilton/month" alt="Total Monthly Downloads"/>
    </a>
    <br/>
    <a href="https://join.slack.com/t/hamilton-opensource/shared_invite/zt-2niepkra8-DGKGf_tTYhXuJWBTXtIs4g" target="_blank">
@@ -73,13 +73,13 @@ Apache Hamilton brings modularity and structure to any Python application moving
 Apache Hamilton supports Python 3.8+. We include the optional `visualization` dependency to display our Apache Hamilton DAG. For visualizations, [Graphviz](https://graphviz.org/download/) needs to be installed on your system separately.
 
 ```bash
-pip install "sf-hamilton[visualization]"
+pip install "apache-hamilton[visualization]"
 ```
 
 To use the Apache Hamilton UI, install the `ui` and `sdk` dependencies.
 
 ```bash
-pip install "sf-hamilton[ui,sdk]"
+pip install "apache-hamilton[ui,sdk]"
 ```
 
 To try Apache Hamilton in the browser, visit [www.tryhamilton.dev](https://www.tryhamilton.dev/?utm_source=README)

contrib/README.md

@@ -27,7 +27,7 @@ under the License.
 >
 > While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.
 
-Here you'll find documentation about the sf-hamilton-contrib package that curates a collection of Apache Hamilton Dataflows that are
+Here you'll find documentation about the apache-hamilton-contrib package that curates a collection of Apache Hamilton Dataflows that are
 ready to be used in your own projects. They are user-contributed and maintained, with
 the goal of making it easier for you to get started with Apache Hamilton.
 
@@ -47,7 +47,7 @@ production purposes as you can version-lock your dependencies.
 To install the package, run:
 
 ```bash
-pip install sf-hamilton-contrib --upgrade
+pip install apache-hamilton-contrib --upgrade
 ```
 
 Once installed, you can import the dataflows as follows.

contrib/docs/compile_docs.py

@@ -171,7 +171,7 @@ def dataflows_with_everything(
 
 ### Use published library version
 ```bash
-pip install sf-hamilton-contrib --upgrade  # make sure you have the latest
+pip install apache-hamilton-contrib --upgrade  # make sure you have the latest
 ```
 
 import example2 from '!!raw-loader!./example2.py';
@@ -226,7 +226,7 @@ def dataflows_with_everything(
 
 ### Use published library version
 ```bash
-pip install sf-hamilton-contrib --upgrade  # make sure you have the latest
+pip install apache-hamilton-contrib --upgrade  # make sure you have the latest
 ```
 
 import example2 from '!!raw-loader!./example2.py';

contrib/docs/docs/README.md

@@ -47,7 +47,7 @@ There are two methods to get access to dataflows presented here.
 Assumptions:
 
 1. You are familiar with Apache Hamilton and have it installed. If not, take
-[15 minutes to learn Apache Hamilton in your browser](https://www.tryhamilton.dev/) and then `pip install sf-hamilton` to get started.
+[15 minutes to learn Apache Hamilton in your browser](https://www.tryhamilton.dev/) and then `pip install apache-hamilton` to get started.
 Come back here when you're ready to use Apache Hamilton.
 2. You have the requisite python dependencies installed on your system.
 You'll get import errors if you don't. Don't know what you need? Scroll to the bottom of a dataflow to find the requirements. We're working on convenience functions to help!
@@ -85,7 +85,7 @@ production purposes as you can version-lock your dependencies.
 To install the package, run:
 
 ```bash
-pip install sf-hamilton-contrib --upgrade
+pip install apache-hamilton-contrib --upgrade
 ```
 
 Once installed, you can import the dataflows as follows.

contrib/docs/src/components/example_code.tsx

@@ -30,7 +30,7 @@ dr = driver.Driver({}, text_summarization)
 `;
 
 export const example2 = `from hamilton import driver
-# pip install sf-hamilton-contrib==0.0.1rc1
+# pip install apache-hamilton-contrib==0.0.1rc1
 from hamilton.contrib.user.zilto import text_summarization
 dr = driver.Driver({}, text_summarization)
 # use the driver`;

contrib/hamilton/contrib/dagworks/sphinx_doc_chunking/requirements.txt

@@ -1,6 +1,6 @@
+apache-hamilton[dask]
+# optionally install Ray, or Dask, or both
+apache-hamilton[ray]
+apache-hamilton[visualization]
 langchain
 langchain-core
-sf-hamilton[dask]
-# optionally install Ray, or Dask, or both
-sf-hamilton[ray]
-sf-hamilton[visualization]

contrib/hamilton/contrib/user/skrawcz/air_quality_analysis/requirements.txt

@@ -1,3 +1,3 @@
+apache-hamilton
 numpy
 scipy
-sf-hamilton

contrib/hamilton/contrib/user/skrawcz/customize_embeddings/requirements.txt

@@ -1,10 +1,10 @@
+apache-hamilton
 numpy
 openai
 pandas
 pandera
 plotly
 requests
 scikit-learn
-sf-hamilton
 tenacity
 torch

contrib/hamilton/contrib/user/skrawcz/fine_tuning/requirements.txt

@@ -1,12 +1,12 @@
 absl-py
+apache-hamilton
 datasets
 evaluate
 numpy
 pandas
 peft
 rouge-score
 scikit-learn
-sf-hamilton
 torch
 tqdm
 transformers

contrib/hamilton/contrib/user/zilto/lancedb_vdb/requirements.txt

@@ -1,4 +1,4 @@
+apache-hamilton[visualization]
 lancedb
 numpy
 pyarrow
-sf-hamilton[visualization]

contrib/hamilton/contrib/user/zilto/webscraper/requirements.txt

@@ -1,4 +1,4 @@
+apache-hamilton[visualization]
 beautifulsoup4
 lxml
 requests
-sf-hamilton[visualization]

contrib/hamilton/contrib/user/zilto/xgboost_optuna/requirements.txt

@@ -1,6 +1,6 @@
+apache-hamilton[visualization]
 numpy
 optuna
 pandas
 scikit-learn
-sf-hamilton[visualization]
 xgboost

contrib/requirements.txt

@@ -1 +1 @@
-sf-hamilton
+apache-hamilton

contrib/scripts/version_check.py

@@ -28,7 +28,7 @@
 CURRENT_VERSION = ".".join(map(str, VERSION))
 
 # Replace 'your-package-name' with your actual package name on PyPI
-response = requests.get("https://pypi.org/pypi/sf-hamilton-contrib/json")
+response = requests.get("https://pypi.org/pypi/apache-hamilton-contrib/json")
 data = response.json()
 pypi_version = data["info"]["version"]
 

dev_tools/vscode_extension/resources/walkthrough/3_pythonDependencies.md

@@ -19,6 +19,6 @@ under the License.
 
 # Install Python dependencies
 
-Install the ``sf-hamilton`` and the visualization dependencies in your Python environment
+Install the ``apache-hamilton`` and the visualization dependencies in your Python environment
 
-``pip install sf-hamilton[lsp]``
+``pip install apache-hamilton[lsp]``

dev_tools/vscode_extension/src/extension.ts

@@ -32,12 +32,12 @@ const checkPythonDependencies = (pythonPath: string) => {
 }
 
 function installDependenciesMessage(pythonPath: string) {
-  let installLSP = "Install sf-hamilton[lsp]"
+  let installLSP = "Install apache-hamilton[lsp]"
 
   vscode.window.showInformationMessage("Missing the Hamilton language server.", installLSP)
     .then(selection => {
       if (selection === installLSP) {
-        execSync(`${pythonPath} -m pip install 'sf-hamilton-lsp'`)
+        execSync(`${pythonPath} -m pip install 'apache-hamilton-lsp'`)
         vscode.commands.executeCommand("workbench.action.reloadWindow")
       }
     })

docs/concepts/best-practices/using-within-your-etl-system.rst

@@ -36,6 +36,6 @@ ETL Recipe
 
 #. Write Hamilton functions & `“driver”` code.
 #. Publish your Hamilton functions in a package, or import via other means (e.g. checkout a repository & include in python path).
-#. Include `sf-hamilton` as a python dependency
+#. Include `apache-hamilton` as a python dependency
 #. Have your ETL system execute your “driver” code.
 #. Profit.

docs/concepts/function-modifiers.rst

@@ -174,13 +174,13 @@ The next snippet checks if the returned Series is of type ``np.int32``, which is
 pandera support
 ~~~~~~~~~~~~~~~
 
-Apache Hamilton has a pandera plugin for data validation that you can install with ``pip install sf-hamilton[pandera]``. Then, you can pass a pandera schema (for DataFrame or Series) to ``@check_output(schema=...)``.
+Apache Hamilton has a pandera plugin for data validation that you can install with ``pip install apache-hamilton[pandera]``. Then, you can pass a pandera schema (for DataFrame or Series) to ``@check_output(schema=...)``.
 
 
 pydantic support
 ~~~~~~~~~~~~~~~~
 
-Apache Hamilton also supports data validation of pydantic models, which can be enabled with ``pip install sf-hamilton[pydantic]``. With pydantic installed, you can pass any subclass of the pydantic base model to ``@check_output(model=...)``. Pydantic validation is performed in strict mode, meaning that raw values will not be coerced to the model's types. For more information on strict mode see the `pydantic docs <https://docs.pydantic.dev/latest/concepts/strict_mode/>`_.
+Apache Hamilton also supports data validation of pydantic models, which can be enabled with ``pip install apache-hamilton[pydantic]``. With pydantic installed, you can pass any subclass of the pydantic base model to ``@check_output(model=...)``. Pydantic validation is performed in strict mode, meaning that raw values will not be coerced to the model's types. For more information on strict mode see the `pydantic docs <https://docs.pydantic.dev/latest/concepts/strict_mode/>`_.
 
 
 Split node output into *n* nodes

docs/conf.py

@@ -113,7 +113,7 @@
 # check if the current commit is tagged as a release (vX.Y.Z) and set the version
 GIT_TAG_OUTPUT = subprocess.check_output(["git", "tag", "--points-at", "HEAD"])
 current_tag = GIT_TAG_OUTPUT.decode().strip()
-if re.match(r"^sf-hamilton-(0|[1-9]\d*)\.(0|[1-9]\d*)\.(0|[1-9]\d*)$", current_tag):
+if re.match(r"^apache-hamilton-(0|[1-9]\d*)\.(0|[1-9]\d*)\.(0|[1-9]\d*)$", current_tag):
     version = current_tag
 else:
     version = "latest"

docs/get-started/install.md

@@ -31,13 +31,13 @@ For help with python/pip/managing virtual environments see the [python docs](htt
 
 ## Installing with pip
 
-Apache Hamilton is published on [pypi](https://pypi.org/project/sf-hamilton/) under ``sf-hamilton``. To install, run:
+Apache Hamilton is published on [pypi](https://pypi.org/project/apache-hamilton/) under ``apache-hamilton``. To install, run:
 
-`pip install sf-hamilton`
+`pip install apache-hamilton`
 
 To use the DAG visualization functionality, instead install with
 
-`pip install sf-hamilton[visualization]`
+`pip install apache-hamilton[visualization]`
 
 *Note: for visualization you may additionally need to install graphviz externally -- see*
 [graphviz](https://graphviz.org/download/) *for instructions on the correct way for your
@@ -47,7 +47,7 @@ operating system.*
 
 Apache Hamilton is also available on conda if you prefer:
 
-`conda install -c hamilton-opensource sf-hamilton`
+`conda install -c hamilton-opensource apache-hamilton`
 
 ## Installing from source
 

docs/get-started/your-first-dataflow.rst

@@ -105,7 +105,7 @@ To actually run the dataflow, we'll need to write :doc:`a driver <../concepts/dr
         ]
         # let's create the dataframe!
         df = dr.execute(output_columns, inputs=initial_columns)
-        # `pip install sf-hamilton[visualization]` earlier you can also do
+        # `pip install apache-hamilton[visualization]` earlier you can also do
         # dr.visualize_execution(output_columns,'./my_dag.png', {})
         print(df)
 

docs/hamilton-ui/ui.rst

@@ -29,7 +29,7 @@ To run the hamilton UI in local mode, you can do the following:
 
 .. code-block:: bash
 
-    pip install "sf-hamilton[ui,sdk]"
+    pip install "apache-hamilton[ui,sdk]"
     hamilton ui
     # python -m hamilton.cli.__main__ ui # on windows
 
@@ -148,7 +148,7 @@ First, install the SDK:
 
 .. code-block:: bash
 
-    pip install "sf-hamilton[sdk]"
+    pip install "apache-hamilton[sdk]"
 
 Then, navigate to the project page (dashboard/projects), in the running UI, and click the green ``+ New DAG`` button.
 

docs/hamilton-vscode/language_server.rst

@@ -20,12 +20,12 @@ You can also manually install the language server in your Python environment via
 
 .. code:: shell
 
-    pip install "sf-hamilton[lsp]"
+    pip install "apache-hamilton[lsp]"
 
 
 Developers
 ----------
 
-If you want to dig in the internals of the language server and integrate it with another IDE, you can find the source code in the ``dev tools/`` section of the `Apache Hamilton GitHub repository <https://github.com/apache/hamilton/tree/main/dev_tools/lsp>`_. It is also directly available on PyPi at `sf-hamilton-lsp <https://pypi.org/project/sf-hamilton-lsp/>`_.
+If you want to dig in the internals of the language server and integrate it with another IDE, you can find the source code in the ``dev tools/`` section of the `Apache Hamilton GitHub repository <https://github.com/apache/hamilton/tree/main/dev_tools/lsp>`_. It is also directly available on PyPi at `apache-hamilton-lsp <https://pypi.org/project/apache-hamilton-lsp/>`_.
 
 Note that the package name is ``hamilton_lsp`` when used directly via Python code.