dapr-agents/cookbook/executors/local.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"id": "39c2dcc0",
"metadata": {},
"source": [
"# Executor: LocalCodeExecutorBasic Examples\n",
"\n",
"This notebook shows how to execute Python and shell snippets in **isolated, cached virtual environments**"
]
},
{
"cell_type": "markdown",
"id": "c4ff4b2b",
"metadata": {},
"source": [
"## Install Required Libraries\n",
"Before starting, ensure the required libraries are installed:"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5b41a66a",
"metadata": {},
"outputs": [],
"source": [
"!pip install dapr-agents"
]
},
{
"cell_type": "markdown",
"id": "a9c01be3",
"metadata": {},
"source": [
"## Setup"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "508fd446",
"metadata": {},
"outputs": [],
"source": [
"import logging\n",
"\n",
"from dapr_agents.executors.local import LocalCodeExecutor\n",
"from dapr_agents.types.executor import CodeSnippet, ExecutionRequest\n",
"from rich.console import Console\n",
"from rich.ansi import AnsiDecoder\n",
"import shutil"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "27594072",
"metadata": {},
"outputs": [],
"source": [
"logging.basicConfig(level=logging.INFO)\n",
"\n",
"executor = LocalCodeExecutor()\n",
"console = Console()\n",
"decoder = AnsiDecoder()"
]
},
{
"cell_type": "markdown",
"id": "4d663475",
"metadata": {},
"source": [
"## Running a basic Python Code Snippet"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "ba45ddc8",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:dapr_agents.executors.local:Sandbox backend enabled: seatbelt\n",
"INFO:dapr_agents.executors.local:Created a new virtual environment\n",
"INFO:dapr_agents.executors.local:Installing print, rich\n",
"INFO:dapr_agents.executors.local:Snippet 1 finished in 2.442s\n"
]
},
{
"data": {
"text/html": [
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Hello executor!</span>\n",
"</pre>\n"
],
"text/plain": [
"\u001b[1;32mHello executor!\u001b[0m\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"code = \"\"\"\n",
"from rich import print\n",
"print(\"[bold green]Hello executor![/bold green]\")\n",
"\"\"\"\n",
"\n",
"request = ExecutionRequest(snippets=[\n",
" CodeSnippet(language='python', code=code, timeout=10)\n",
"])\n",
"\n",
"results = await executor.execute(request)\n",
"results[0] # raw result\n",
"\n",
"# prettyprint with Rich\n",
"console.print(*decoder.decode(results[0].output))"
]
},
{
"cell_type": "markdown",
"id": "d28c7531",
"metadata": {},
"source": [
"## Run a Shell Snipper"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "4ea89b85",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:dapr_agents.executors.local:Sandbox backend enabled: seatbelt\n",
"INFO:dapr_agents.executors.local:Snippet 1 finished in 0.019s\n"
]
},
{
"data": {
"text/plain": [
"[ExecutionResult(status='success', output='4\\n', exit_code=0)]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"shell_request = ExecutionRequest(snippets=[\n",
" CodeSnippet(language='sh', code='echo $((2+2))', timeout=5)\n",
"])\n",
"\n",
"await executor.execute(shell_request)"
]
},
{
"cell_type": "markdown",
"id": "da281b6e",
"metadata": {},
"source": [
"## Reuse the cached virtual environment"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "3e9e7e9b",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:dapr_agents.executors.local:Sandbox backend enabled: seatbelt\n",
"INFO:dapr_agents.executors.local:Reusing cached virtual environment.\n",
"INFO:dapr_agents.executors.local:Installing print, rich\n",
"INFO:dapr_agents.executors.local:Snippet 1 finished in 0.297s\n"
]
},
{
"data": {
"text/plain": [
"[ExecutionResult(status='success', output='\\x1b[1;32mHello executor!\\x1b[0m\\n', exit_code=0)]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Rerunning the same Python request will reuse the cached venv, so it is faster\n",
"await executor.execute(request)"
]
},
{
"cell_type": "markdown",
"id": "14dc3e4c",
"metadata": {},
"source": [
"## Inject Helper Functions"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "82f9a168",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:dapr_agents.executors.local:Sandbox backend enabled: seatbelt\n",
"INFO:dapr_agents.executors.local:Created a new virtual environment\n",
"INFO:dapr_agents.executors.local:Snippet 1 finished in 1.408s\n"
]
},
{
"data": {
"text/plain": [
"[ExecutionResult(status='success', output='42\\n', exit_code=0)]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def fancy_sum(a: int, b: int) -> int:\n",
" return a + b\n",
"\n",
"executor.user_functions.append(fancy_sum)\n",
"\n",
"helper_request = ExecutionRequest(snippets=[\n",
" CodeSnippet(language='python', code='print(fancy_sum(40, 2))', timeout=5)\n",
"])\n",
"\n",
"await executor.execute(helper_request)"
]
},
{
"cell_type": "markdown",
"id": "25f9718c",
"metadata": {},
"source": [
"## Clean Up"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "b09059f1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cache directory removed ✅\n"
]
}
],
"source": [
"shutil.rmtree(executor.cache_dir, ignore_errors=True)\n",
"print(\"Cache directory removed ✅\")"
]
},
{
"cell_type": "markdown",
"id": "2c93cdef",
"metadata": {},
"source": [
"## Package-manager detection & automatic bootstrap"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "8691f3e3",
"metadata": {},
"outputs": [],
"source": [
"from dapr_agents.executors.utils import package_manager as pm\n",
"import pathlib, tempfile"
]
},
{
"cell_type": "markdown",
"id": "e9e08d81",
"metadata": {},
"source": [
"### Create a throw-away project"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "4c7dd9c3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"tmp project: /var/folders/9z/8xhqw8x1611fcbhzl339yrs40000gn/T/tmpmssk0m2b\n"
]
}
],
"source": [
"tmp_proj = pathlib.Path(tempfile.mkdtemp())\n",
"(tmp_proj / \"requirements.txt\").write_text(\"rich==13.7.0\\n\")\n",
"print(\"tmp project:\", tmp_proj)"
]
},
{
"cell_type": "markdown",
"id": "03558a95",
"metadata": {},
"source": [
"### Show what the helper detects"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "3b5acbfb",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"detect_package_managers -> [<PackageManagerType.PIP: 'pip'>]\n",
"get_install_command -> pip install -r requirements.txt\n"
]
}
],
"source": [
"print(\"detect_package_managers ->\",\n",
" [m.name for m in pm.detect_package_managers(tmp_proj)])\n",
"print(\"get_install_command ->\",\n",
" pm.get_install_command(tmp_proj))"
]
},
{
"cell_type": "markdown",
"id": "42f1ae7c",
"metadata": {},
"source": [
"### Point the executor at that directory"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "81e53cf4",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"from contextlib import contextmanager, ExitStack\n",
"\n",
"@contextmanager\n",
"def chdir(path):\n",
" \"\"\"\n",
" Temporarily change the process CWD to *path*.\n",
"\n",
" Works on every CPython ≥ 3.6 (and PyPy) and restores the old directory\n",
" even if an exception is raised inside the block.\n",
" \"\"\"\n",
" old_cwd = os.getcwd()\n",
" os.chdir(path)\n",
" try:\n",
" yield\n",
" finally:\n",
" os.chdir(old_cwd)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "fb2f5052",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:dapr_agents.executors.local:bootstrapping python project with 'pip install -r requirements.txt'\n",
"INFO:dapr_agents.executors.local:Sandbox backend enabled: seatbelt\n",
"INFO:dapr_agents.executors.local:Created a new virtual environment\n",
"INFO:dapr_agents.executors.local:Snippet 1 finished in 1.433s\n"
]
},
{
"data": {
"text/html": [
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">bootstrap OK\n",
"\n",
"</pre>\n"
],
"text/plain": [
"bootstrap OK\n",
"\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"with ExitStack() as stack:\n",
" # keep a directory handle open (optional but handy if youll delete tmp_proj later)\n",
" stack.enter_context(os.scandir(tmp_proj))\n",
"\n",
" # <-- our portable replacement for contextlib.chdir()\n",
" stack.enter_context(chdir(tmp_proj))\n",
"\n",
" # run a trivial snippet; executor will bootstrap because it now “sees”\n",
" # requirements.txt in the current working directory\n",
" out = await executor.execute(\n",
" ExecutionRequest(snippets=[\n",
" CodeSnippet(language=\"python\", code=\"print('bootstrap OK')\", timeout=5)\n",
" ])\n",
" )\n",
" console.print(out[0].output)"
]
},
{
"cell_type": "markdown",
"id": "45de2386",
"metadata": {},
"source": [
"### Clean Up the throw-away project "
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "0c7aa010",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cache directory removed ✅\n",
"temporary project removed ✅\n"
]
}
],
"source": [
"shutil.rmtree(executor.cache_dir, ignore_errors=True)\n",
"print(\"Cache directory removed ✅\")\n",
"shutil.rmtree(tmp_proj, ignore_errors=True)\n",
"print(\"temporary project removed ✅\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "36ea4010",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.1"
}
},
"nbformat": 4,
"nbformat_minor": 5
}