{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xvi_H9ugrYr2"
   },
   "source": [
    "# Running Haystack Pipelines in Asynchronous Environments\n",
    "\n",
    "_Notebook by [Madeeswaran Kannan](https://www.linkedin.com/in/m-kannan) & [Mathis Lucka](https://www.linkedin.com/in/mathis-lucka-685037201/)_\n",
    "\n",
    "In this notebook, you'll learn how to use the `AsyncPipeline` and async-enabled components to build and execute a Haystack pipeline in an asynchronous environment. It's based on [this short Haystack tutorial](https://haystack.deepset.ai/tutorials/27_first_rag_pipeline), so it would be a good idea to familiarize yourself with it before we begin. A further prerequisite is working knowledge of cooperative scheduling and [async programming in Python](https://docs.python.org/3/library/asyncio.html).\n",
    "\n",
    "## Motivation\n",
    "\n",
    "By default, the `Pipeline` class in `haystack` is a regular Python object class that exposes non-`async` methods to add/connect components and execute the pipeline logic. Currently, it *can* be used in async environments, but it's not optimal to do so since it executes its logic in a '[blocking](https://en.wikipedia.org/wiki/Blocking_(computing))' fashion, i.e., once the `Pipeline.run` method is invoked, it must run to completion and return the outputs before the next statement of code can be executed<sup>1</sup>. In a typical async environment, this prevents active async event loop from scheduling other `async` coroutines, thereby reducing throughput. To mitigate this bottleneck, we introduce the concept of async-enabled Haystack components and an `AsyncPipeline` class that cooperatively schedules the execution of both async and non-async components.\n",
    "\n",
    "\n",
    "<sup>1</sup> - This is a simplification as the Python runtime can potentially schedule another thread, but it's a detail that we can ignore in this case.\n",
    "\n",
    "### AsyncPipeline Benefits\n",
    "- Execute components concurrently to speed-up pipeline execution.\n",
    "- Execute components step by step to debug your pipelines.\n",
    "- Increase throughput in async environments, e.g. when executing pipelines behind a FastAPI-endpoint.\n",
    "- Allow individual components to opt into `async` support.\n",
    "    - Not all components benefit from being async-enabled - I/O-bound components are the most suitable candidates.\n",
    "- Provide a backward-compatible way to execute Haystack pipelines containing both async and non-async components.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ofGFRy0hrYr3"
   },
   "source": [
    "Let's now go ahead and see what it takes to add async support to the original tutorial, starting with installing Haystack, and the requisite dependencies.\n",
    "\n",
    "## Development Environment\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-03T15:12:29.606493Z",
     "start_time": "2025-03-03T15:12:25.813915Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "s-s8odIUrYr4",
    "outputId": "acc26c93-6328-4886-b23f-93e8e4330016"
   },
   "outputs": [],
   "source": [
    "%%bash\n",
    "\n",
    "pip install -U haystack-ai -q\n",
    "pip install datasets -q\n",
    "pip install sentence-transformers -q\n",
    "pip install nest_asyncio -q"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "S7ElROeVrYr4"
   },
   "source": [
    "Provide an [OpenAI API key](https://platform.openai.com/api-keys) to ensure that LLM generator can query the OpenAI API."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-03T15:12:34.615394Z",
     "start_time": "2025-03-03T15:12:34.613062Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "DwEK6P0nrYr4",
    "outputId": "c80267a3-71f3-472f-d499-5af5684dcced"
   },
   "outputs": [],
   "source": [
    "import os\n",
    "from getpass import getpass\n",
    "\n",
    "if \"OPENAI_API_KEY\" not in os.environ:\n",
    "    os.environ[\"OPENAI_API_KEY\"] = getpass(\"Enter OpenAI API key:\")\n",
    "\n",
    "# If you're running this notebook on Google Colab, you can do the following instead:\n",
    "#\n",
    "# from google.colab import userdata\n",
    "# if \"OPENAI_API_KEY\" not in os.environ:\n",
    "#  os.environ[\"OPENAI_API_KEY\"] = userdata.get('OPENAI_API_KEY')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-03T15:23:16.397131Z",
     "start_time": "2025-03-03T15:23:16.389062Z"
    }
   },
   "outputs": [],
   "source": [
    "# The IPython environment is already running an event-loop.\n",
    "# We will later use a method that tries to create another event-loop which would fail without this snippet.\n",
    "import nest_asyncio\n",
    "nest_asyncio.apply()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "91DT3OVArYr4"
   },
   "source": [
    "## Creating an AsyncPipeline\n",
    "\n",
    "### Fetching and Indexing Documents\n",
    "Initialize a `DocumentStore` to index your documents."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-03T15:23:21.608201Z",
     "start_time": "2025-03-03T15:23:21.602501Z"
    },
    "id": "1pwhqTvYrYr5"
   },
   "outputs": [],
   "source": [
    "from haystack.document_stores.in_memory import InMemoryDocumentStore\n",
    "\n",
    "document_store = InMemoryDocumentStore()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "14gSbwJDrYr5"
   },
   "source": [
    "Fetch the data and convert it into Haystack `Document`s."
   ]
  },
  {
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   "execution_count": 31,
   "metadata": {
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     "end_time": "2025-03-03T15:23:26.533030Z",
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    "id": "kNQCLtA8rYr5",
    "outputId": "687146f2-cb10-4735-ac61-0e14fc5a18cf"
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   "outputs": [],
   "source": [
    "from datasets import load_dataset\n",
    "from haystack import Document\n",
    "\n",
    "dataset = load_dataset(\"bilgeyucel/seven-wonders\", split=\"train\")\n",
    "docs = [Document(content=doc[\"content\"], meta=doc[\"meta\"]) for doc in dataset]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jMHigLOjrYr5"
   },
   "source": [
    "To store your data in the `DocumentStore` with embeddings, initialize a `SentenceTransformersDocumentEmbedder`.\n",
    "Then, run the embedder to calculate the embeddings of the docs and write the documents to the document store."
   ]
  },
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    },
    "id": "l-f9RC-JrYr5",
    "outputId": "1342b08b-5c17-4a1a-e2b9-ec6a9aa2c477"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Batches: 100%|██████████| 5/5 [00:00<00:00,  5.37it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Indexed 151 documents\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "from haystack.components.embedders import SentenceTransformersDocumentEmbedder\n",
    "\n",
    "doc_embedder = SentenceTransformersDocumentEmbedder(\n",
    "    model=\"sentence-transformers/all-MiniLM-L6-v2\"\n",
    ")\n",
    "\n",
    "docs_with_embeddings = doc_embedder.run(docs)\n",
    "n_docs_written = document_store.write_documents(docs_with_embeddings[\"documents\"])\n",
    "print(f\"Indexed {n_docs_written} documents\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ltpP2JE3rYr5"
   },
   "source": [
    "The next step is to build the RAG pipeline to generate answers for a user query. We build a RAG pipeline using hybrid retrieval. Hybrid retrieval uses two retrieval branches that can run concurrently.\n",
    "\n",
    "Initialize a text embedder to create an embedding for the user query and an `InMemoryEmbeddingRetriever` as well as a `InMemoryBM25Retriever` to use with the `InMemoryDocumentStore` you initialized earlier. We feed the results of both retrievers into a `DocumentJoiner` and we use reciprocal rank fusion to get to our final ranking of the documents."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-03T15:13:06.991771Z",
     "start_time": "2025-03-03T15:13:06.988468Z"
    },
    "id": "nHXZHwynrYr6"
   },
   "outputs": [],
   "source": [
    "from haystack.components.embedders import SentenceTransformersTextEmbedder\n",
    "from haystack.components.retrievers.in_memory import InMemoryEmbeddingRetriever, InMemoryBM25Retriever\n",
    "from haystack.components.joiners import DocumentJoiner\n",
    "\n",
    "text_embedder = SentenceTransformersTextEmbedder(model=\"sentence-transformers/all-MiniLM-L6-v2\")\n",
    "embedding_retriever = InMemoryEmbeddingRetriever(document_store)\n",
    "bm25_retriever = InMemoryBM25Retriever(document_store)\n",
    "joiner = DocumentJoiner(join_mode=\"reciprocal_rank_fusion\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Rygcc6q6rYr6"
   },
   "source": [
    "Create a custom prompt to use with the `ChatPromptBuilder` and initialize a `OpenAIChatGenerator` to consume the output of the former."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-03T15:13:11.597435Z",
     "start_time": "2025-03-03T15:13:11.569238Z"
    },
    "id": "fP4u_1AUrYr6"
   },
   "outputs": [],
   "source": [
    "from haystack.components.builders import ChatPromptBuilder\n",
    "from haystack.components.generators.chat import OpenAIChatGenerator\n",
    "from haystack.dataclasses import ChatMessage\n",
    "\n",
    "template = \"\"\"\n",
    "Given the following information, answer the question.\n",
    "\n",
    "Context:\n",
    "{% for document in documents %}\n",
    "    {{ document.content }}\n",
    "{% endfor %}\n",
    "\n",
    "Question: {{question}}\n",
    "Answer:\n",
    "\"\"\"\n",
    "\n",
    "prompt_builder = ChatPromptBuilder(template=[ChatMessage.from_user(template)])\n",
    "generator = OpenAIChatGenerator(model=\"gpt-4o-mini\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "RZSpYju9rYr6"
   },
   "source": [
    "We finally get to the creation of the pipeline instance. Instead of using the `Pipeline` class, we use the `AsyncPipeline` class.\n",
    "\n",
    "The rest of the process, i.e., adding components and connecting them with each other remains the same as with the original `Pipeline` class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-03T15:13:15.083896Z",
     "start_time": "2025-03-03T15:13:14.419594Z"
    },
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "-GFzT4AMrYr6",
    "outputId": "3cdc3975-8c9c-40f6-b816-19e51176bb1d"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from haystack import AsyncPipeline\n",
    "\n",
    "async_rag_pipeline = AsyncPipeline()\n",
    "# Add components to your pipeline\n",
    "async_rag_pipeline.add_component(\"text_embedder\", text_embedder)\n",
    "async_rag_pipeline.add_component(\"embedding_retriever\", embedding_retriever)\n",
    "async_rag_pipeline.add_component(\"bm25_retriever\", bm25_retriever)\n",
    "async_rag_pipeline.add_component(\"joiner\", joiner)\n",
    "async_rag_pipeline.add_component(\"prompt_builder\", prompt_builder)\n",
    "async_rag_pipeline.add_component(\"llm\", generator)\n",
    "\n",
    "# Now, connect the components to each other\n",
    "async_rag_pipeline.connect(\"text_embedder.embedding\", \"embedding_retriever.query_embedding\")\n",
    "async_rag_pipeline.connect(\"bm25_retriever.documents\", \"joiner.documents\")\n",
    "async_rag_pipeline.connect(\"embedding_retriever.documents\", \"joiner.documents\")\n",
    "async_rag_pipeline.connect(\"joiner.documents\", \"prompt_builder.documents\")\n",
    "async_rag_pipeline.connect(\"prompt_builder.prompt\", \"llm.messages\")\n",
    "\n",
    "async_rag_pipeline.show()\n",
    "# You can see from the visual pipeline representation that embedding retriever and bm25 retriever do not depend on each other; they could run concurrently"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "msBcivLZrYr6"
   },
   "source": [
    "Now, we create a coroutine that queries the pipeline with a question.\n",
    "\n",
    "We use the `run_async_generator` method to execute the `AsyncPipeline`. `run_async_generator` returns an `AsyncIterator` that we need to iterate over to make progress in the pipeline's execution.\n",
    "\n",
    "Essentially, this allows us to step through the pipeline execution component by component, which is useful for debugging a pipeline or when you want to run custom logic upon any component's completion.\n",
    "\n",
    "The `AsyncPipeline` also exposes:\n",
    " \n",
    "- a `run_async` method that executes the full pipeline before returning the final outputs\n",
    "- a `run` method that can be called from non-async environments but still executes components concurrently; the `run` method is a drop-in replacement for `Pipeline.run`\n",
    "\n",
    "\n",
    "We iterate over the `AsyncIterator` and print intermediate outputs from the retrievers and the joiner.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-03T14:48:42.342617Z",
     "start_time": "2025-03-03T14:48:39.908830Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Outputs from `bm25_retriever`.\n",
      "Score: 13.520340633994273\n",
      "Content: [21] However, the gardens were said to still exist at the time that later writers described them, and some of these accounts are regarded as deriving from people who had visited Babylon.[2] Herodotus, who describes Babylon in his Histories, does not mention the Hanging Gardens,[22] although it could be that the gardens were not yet well known to the Greeks at the time of his visit.[2]\n",
      "To date, no archaeological evidence has been found at Babylon for the Hanging Gardens.[6] It is possible that ev...\n",
      "------------\n",
      "Outputs from `embedding_retriever`.\n",
      "Score: 0.6933103186685945\n",
      "Content: The construction of the Hanging Gardens has also been attributed to the legendary queen Semiramis[4] and they have been called the Hanging Gardens of Semiramis as an alternative name.[5]\n",
      "The Hanging Gardens are the only one of the Seven Wonders for which the location has not been definitively established.[6] There are no extant Babylonian texts that mention the gardens, and no definitive archaeological evidence has been found in Babylon.[7][8] Three theories have been suggested to account for th...\n",
      "------------\n",
      "Outputs from `joiner`.\n",
      "Score: 0.9919354838709679\n",
      "Content: [21] However, the gardens were said to still exist at the time that later writers described them, and some of these accounts are regarded as deriving from people who had visited Babylon.[2] Herodotus, who describes Babylon in his Histories, does not mention the Hanging Gardens,[22] although it could be that the gardens were not yet well known to the Greeks at the time of his visit.[2]\n",
      "To date, no archaeological evidence has been found at Babylon for the Hanging Gardens.[6] It is possible that ev...\n",
      "------------\n",
      "LLM Response:\n",
      "The Hanging Gardens of Babylon are said to have been located in the ancient city of Babylon, near present-day Hillah in the Babil province of Iraq. However, the exact location has not been definitively established, and there is no archaeological evidence confirming their existence in Babylon. Some theories suggest that they could have been confused with the gardens built by the Assyrian king Sennacherib in his capital city of Nineveh, near modern-day Mosul.\n"
     ]
    }
   ],
   "source": [
    "question = \"Where is Gardens of Babylon?\"\n",
    "inputs = {\n",
    "    \"text_embedder\": {\"text\": question},\n",
    "    \"bm25_retriever\": {\"query\": question},\n",
    "    \"prompt_builder\": {\"question\": question},\n",
    "}\n",
    "include_outputs_from = [\"embedding_retriever\", \"bm25_retriever\", \"joiner\"]\n",
    "consumed_outputs = []\n",
    "async for output in async_rag_pipeline.run_async_generator(data=inputs, include_outputs_from=include_outputs_from):\n",
    "    final_output = output\n",
    "    for component, results in output.items():\n",
    "        if component not in consumed_outputs:\n",
    "            consumed_outputs.append(component)\n",
    "            if \"documents\" in results:\n",
    "                print(f\"Outputs from `{component}`.\")\n",
    "                for doc in results[\"documents\"][:1]:\n",
    "                    print(f\"Score: {doc.score}\")\n",
    "                    print(f\"Content: {doc.content[:500]}...\")\n",
    "                    print(\"------------\")\n",
    "\n",
    "\n",
    "print(\"LLM Response:\")\n",
    "print(final_output[\"llm\"][\"replies\"][0].text)\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sequential vs Concurrent Execution\n",
    "Now, let's compare sequential execution and concurrent execution of multiple queries. We create two utility functions that run a list of questions. Both use the `AsyncPipeline` but only one of them runs each question as a co-routine."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-03T15:13:22.928702Z",
     "start_time": "2025-03-03T15:13:22.925562Z"
    },
    "id": "pDkiWtKarYr6"
   },
   "outputs": [],
   "source": [
    "import asyncio\n",
    "\n",
    "def sequential_execution(pipeline: AsyncPipeline, questions: list[str]):\n",
    "    results = []\n",
    "    for question in examples:\n",
    "        inputs = {\n",
    "            \"text_embedder\": {\"text\": question},\n",
    "            \"bm25_retriever\": {\"query\": question},\n",
    "            \"prompt_builder\": {\"question\": question},\n",
    "        }\n",
    "        \n",
    "        results.append(pipeline.run(data=inputs))\n",
    "    \n",
    "    return results\n",
    "\n",
    "async def concurrent_execution(pipeline: AsyncPipeline, questions: list[str]):\n",
    "    tasks = [pipeline.run_async(data={\n",
    "        \"text_embedder\": {\"text\": question},\n",
    "        \"bm25_retriever\": {\"query\": question},\n",
    "        \"prompt_builder\": {\"question\": question},\n",
    "    }) for question in questions]\n",
    "    \n",
    "    results = await asyncio.gather(*tasks)\n",
    "    \n",
    "    return results\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We run the pipeline with 3 examples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-03T15:13:26.107245Z",
     "start_time": "2025-03-03T15:13:26.104250Z"
    }
   },
   "outputs": [],
   "source": [
    "examples = [\n",
    "    \"Where is Gardens of Babylon?\",\n",
    "    \"Why did people build Great Pyramid of Giza?\",\n",
    "    \"What does Rhodes Statue look like?\",\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's run the questions sequentially first."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-03T15:13:36.465027Z",
     "start_time": "2025-03-03T15:13:27.983996Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "All tasks completed in 8.48 seconds\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "start = time.time()\n",
    "results = sequential_execution(async_rag_pipeline, examples)\n",
    "end = time.time()\n",
    "total_time = end - start\n",
    "print(f\"All tasks completed in {total_time:.2f} seconds\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "OQTn6gu0rYr6"
   },
   "source": [
    "Let's check how long it takes if we run questions concurrently."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-03T15:14:24.609245Z",
     "start_time": "2025-03-03T15:14:21.028370Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Batches:   0%|          | 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\n",
      "\n",
      "Batches: 100%|██████████| 1/1 [00:00<00:00,  2.11it/s]\u001b[A\u001b[A\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "All tasks completed in 3.57 seconds\n"
     ]
    }
   ],
   "source": [
    "start = time.time()\n",
    "results = await concurrent_execution(async_rag_pipeline, examples)\n",
    "end = time.time()\n",
    "total_time = end - start\n",
    "print(f\"All tasks completed in {total_time:.2f} seconds\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "lFHpAFhYrYr6"
   },
   "source": [
    "You can see that concurrent execution of the pipeline is more than twice as fast as the sequential execution."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Concurrent Component Execution\n",
    "\n",
    "The example above is running the retriever components concurrently. Any components that could run concurrently, typically because they sit on parallel branches of the pipeline, are automatically scheduled to run concurrently by the `AsyncPipeline`'s run-logic.\n",
    "\n",
    "Let's create a small example with a custom component to illustrate concurrent execution in more detail."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-03T15:49:20.235164Z",
     "start_time": "2025-03-03T15:49:18.583884Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from haystack import component\n",
    "\n",
    "@component\n",
    "class WaitingComponent:\n",
    "    \"\"\"\n",
    "    A test component that simulates async operations by waiting for a specified time\n",
    "    before returning a message.\n",
    "\n",
    "    ### Usage example\n",
    "    ```python\n",
    "    test_comp = AsyncTestComponent(name=\"TestComponent\", wait_time=2)\n",
    "\n",
    "    # Sync usage\n",
    "    result = test_comp.run(user_msg=\"Hello\")\n",
    "    print(result[\"message\"])  # prints after 2 seconds\n",
    "\n",
    "    # Async usage\n",
    "    result = await test_comp.run_async(user_msg=\"Hello\")\n",
    "    print(result[\"message\"])  # prints after 2 seconds\n",
    "    ```\n",
    "    \"\"\"\n",
    "\n",
    "    def __init__(self, name: str, wait_time: int = 1):\n",
    "        self.name = name\n",
    "        self.wait_time = wait_time\n",
    "\n",
    "    @component.output_types(message=str)\n",
    "    def run(self, user_msg: str) -> dict:\n",
    "        \"\"\"\n",
    "        Synchronous method that waits for the specified time and returns a message.\n",
    "\n",
    "        :param user_msg: Input message from the user (unused in output but required for example)\n",
    "        :return: Dictionary containing the output message\n",
    "        \"\"\"\n",
    "        print(f\"Component {self.name} starts running...\")\n",
    "        time.sleep(self.wait_time)\n",
    "        print(f\"Component {self.name} is done!\")\n",
    "        return {\"message\": f\"Message from {self.name}\"}\n",
    "\n",
    "\n",
    "wait_1 = WaitingComponent(name=\"wait_1\", wait_time=1)\n",
    "wait_2 = WaitingComponent(name=\"wait_2\", wait_time=2)\n",
    "wait_3 = WaitingComponent(name=\"wait_3\", wait_time=3)\n",
    "wait_4 = WaitingComponent(name=\"wait_4\", wait_time=4)\n",
    "wait_5 = WaitingComponent(name=\"wait_5\", wait_time=5)\n",
    "\n",
    "pp = AsyncPipeline()\n",
    "\n",
    "\n",
    "pp.add_component(\"wait_1\", wait_1)\n",
    "pp.add_component(\"wait_2\", wait_2)\n",
    "pp.add_component(\"wait_3\", wait_3)\n",
    "pp.add_component(\"wait_4\", wait_4)\n",
    "pp.add_component(\"wait_5\", wait_5)\n",
    "\n",
    "pp.connect(\"wait_1\", \"wait_2\")\n",
    "pp.connect(\"wait_3\", \"wait_4\")\n",
    "\n",
    "pp.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can see that this pipeline has 3 parallel branches. Let's run this pipeline to see how it executes components concurrently."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-03T15:49:28.647997Z",
     "start_time": "2025-03-03T15:49:21.629549Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'wait_1': {'message': 'Message from wait_1'}}\n",
      "{'wait_3': {'message': 'Message from wait_3'}}\n",
      "{'wait_2': {'message': 'Message from wait_2'}}\n",
      "{'wait_5': {'message': 'Message from wait_5'}}\n",
      "{'wait_4': {'message': 'Message from wait_4'}}\n"
     ]
    }
   ],
   "source": [
    "async for output in pp.run_async_generator({\"user_msg\": \"Hello\"}, include_outputs_from=[\"wait_1\", \"wait_2\", \"wait_3\", \"wait_4\", \"wait_10\"]):\n",
    "    if len(output.keys()) == 1:\n",
    "        print(output)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "BL62x-KKrYr6"
   },
   "source": [
    "## Custom Asynchronous Components\n",
    "\n",
    "Individual components can opt into async by implementing a `run_async` coroutine that has the same signature, i.e., input parameters and outputs as the `run` method. This constraint is placed to ensure that pipeline connections are the same irrespective of whether a component supports async execution, allowing for plug-n-play backward compatibility with existing pipelines.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "OnNtMXI6rYr6"
   },
   "outputs": [],
   "source": [
    "from typing import Dict, Any\n",
    "from haystack import component\n",
    "\n",
    "@component\n",
    "class MyCustomComponent:\n",
    "    def __init__(self, my_custom_param: str):\n",
    "        self.my_custom_param = my_custom_param\n",
    "\n",
    "    @component.output_types(original=str, concatenated=str)\n",
    "    def run(self, input: str) -> Dict[str, Any]:\n",
    "        return {\n",
    "            \"original\": input,\n",
    "            \"concatenated\": input + self.my_custom_param\n",
    "        }\n",
    "\n",
    "    async def do_io_bound_op(self, input: str) -> str:\n",
    "        # Do some IO-bound operation here\n",
    "        return input + self.my_custom_param\n",
    "\n",
    "    @component.output_types(original=str, concatenated=str)\n",
    "    async def run_async(self, input: str) -> Dict[str, Any]:\n",
    "        return {\n",
    "            \"original\": input,\n",
    "            \"concatenated\": await self.do_io_bound_op(input)\n",
    "        }"
   ]
  }
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