mirror of
https://github.com/hwchase17/langchain
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couchbase: Add chat message history (#24356)
**Description:** : Add support for chat message history using Couchbase - [x] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ --------- Co-authored-by: Nithish Raghunandanan <nithishr@users.noreply.github.com>
This commit is contained in:
Nithish Raghunandanan
GitHub
parent
96bac8e20d
commit
eb26b5535a
@ -0,0 +1,325 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "a283d2fd-e26e-4811-a486-d3cf0ecf6749",
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"metadata": {},
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"source": [
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"# Couchbase\n",
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"> Couchbase is an award-winning distributed NoSQL cloud database that delivers unmatched versatility, performance, scalability, and financial value for all of your cloud, mobile, AI, and edge computing applications. Couchbase embraces AI with coding assistance for developers and vector search for their applications.\n",
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"\n",
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"This notebook goes over how to use the `CouchbaseChatMessageHistory` class to store the chat message history in a Couchbase cluster\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ff868a6c-3e17-4c3d-8d32-67b01f4d7bcc",
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"metadata": {},
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"source": [
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"## Set Up Couchbase Cluster\n",
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"To run this demo, you need a Couchbase Cluster. \n",
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"\n",
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"You can work with both [Couchbase Capella](https://www.couchbase.com/products/capella/) and your self-managed Couchbase Server."
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]
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},
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{
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"cell_type": "markdown",
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"id": "41fa85e7-6968-45e4-a445-de305d80f332",
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"metadata": {},
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"source": [
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"## Install Dependencies\n",
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"`CouchbaseChatMessageHistory` lives inside the `langchain-couchbase` package. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "b744ca05-b8c6-458c-91df-f50ca2c20b3c",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Note: you may need to restart the kernel to use updated packages.\n"
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]
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}
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],
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"source": [
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"%pip install --upgrade --quiet langchain-couchbase"
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]
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},
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{
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"cell_type": "markdown",
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"id": "41f29205-6452-493b-ba18-8a3b006bcca4",
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"metadata": {},
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"source": [
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"## Create Couchbase Connection Object\n",
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"We create a connection to the Couchbase cluster initially and then pass the cluster object to the Vector Store. \n",
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"\n",
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"Here, we are connecting using the username and password. You can also connect using any other supported way to your cluster. \n",
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"\n",
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"For more information on connecting to the Couchbase cluster, please check the [Python SDK documentation](https://docs.couchbase.com/python-sdk/current/hello-world/start-using-sdk.html#connect)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "f394908e-f5fe-408a-84d7-b97fdebcfa26",
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"metadata": {},
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"outputs": [],
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"source": [
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"COUCHBASE_CONNECTION_STRING = (\n",
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" \"couchbase://localhost\" # or \"couchbases://localhost\" if using TLS\n",
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")\n",
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"DB_USERNAME = \"Administrator\"\n",
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"DB_PASSWORD = \"Password\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "ad4dce21-d80c-465a-b709-fd366ba5ce35",
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"metadata": {},
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"outputs": [],
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"source": [
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"from datetime import timedelta\n",
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"\n",
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"from couchbase.auth import PasswordAuthenticator\n",
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"from couchbase.cluster import Cluster\n",
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"from couchbase.options import ClusterOptions\n",
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"\n",
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"auth = PasswordAuthenticator(DB_USERNAME, DB_PASSWORD)\n",
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"options = ClusterOptions(auth)\n",
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"cluster = Cluster(COUCHBASE_CONNECTION_STRING, options)\n",
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"\n",
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"# Wait until the cluster is ready for use.\n",
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"cluster.wait_until_ready(timedelta(seconds=5))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "e3d0210c-e2e6-437a-86f3-7397a1899fef",
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"metadata": {},
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"source": [
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"We will now set the bucket, scope, and collection names in the Couchbase cluster that we want to use for storing the message history.\n",
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"\n",
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"Note that the bucket, scope, and collection need to exist before using them to store the message history."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "e8c7f846-a5c4-4465-a40e-4a9a23ac71bd",
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"metadata": {},
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"outputs": [],
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"source": [
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"BUCKET_NAME = \"langchain-testing\"\n",
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"SCOPE_NAME = \"_default\"\n",
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"COLLECTION_NAME = \"conversational_cache\""
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]
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},
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{
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"cell_type": "markdown",
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"id": "283959e1-6af7-4768-9211-5b0facc6ef65",
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"metadata": {},
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"source": [
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"## Usage\n",
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"In order to store the messages, you need the following:\n",
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"- Couchbase Cluster object: Valid connection to the Couchbase cluster\n",
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"- bucket_name: Bucket in cluster to store the chat message history\n",
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"- scope_name: Scope in bucket to store the message history\n",
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"- collection_name: Collection in scope to store the message history\n",
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"- session_id: Unique identifier for the session\n",
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"\n",
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"Optionally you can configure the following:\n",
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"- session_id_key: Field in the chat message documents to store the `session_id`\n",
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"- message_key: Field in the chat message documents to store the message content\n",
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"- create_index: Used to specify if the index needs to be created on the collection. By default, an index is created on the `message_key` and the `session_id_key` of the documents"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "43c3b2d5-aae2-44a9-9e9f-f10adf054cfa",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain_couchbase.chat_message_histories import CouchbaseChatMessageHistory\n",
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"\n",
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"message_history = CouchbaseChatMessageHistory(\n",
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" cluster=cluster,\n",
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" bucket_name=BUCKET_NAME,\n",
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" scope_name=SCOPE_NAME,\n",
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" collection_name=COLLECTION_NAME,\n",
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" session_id=\"test-session\",\n",
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")\n",
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"\n",
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"message_history.add_user_message(\"hi!\")\n",
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"\n",
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"message_history.add_ai_message(\"how are you doing?\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "e7e348ef-79e9-481c-aeef-969ae03dea6a",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[HumanMessage(content='hi!'), AIMessage(content='how are you doing?')]"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"message_history.messages"
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]
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},
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{
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"cell_type": "markdown",
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"id": "c8b942a7-93fa-4cd9-8414-d047135c2733",
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"metadata": {},
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"source": [
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"## Chaining\n",
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"The chat message history class can be used with [LCEL Runnables](https://python.langchain.com/v0.2/docs/how_to/message_history/)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8a9f0d91-d1d6-481d-8137-ea11229f485a",
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"metadata": {},
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"outputs": [],
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"source": [
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"import getpass\n",
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"import os\n",
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"\n",
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"from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder\n",
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"from langchain_core.runnables.history import RunnableWithMessageHistory\n",
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"from langchain_openai import ChatOpenAI\n",
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"\n",
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"os.environ[\"OPENAI_API_KEY\"] = getpass.getpass()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "946d45aa-5a61-49ae-816b-1c3949c56d9a",
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"metadata": {},
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"outputs": [],
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"source": [
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"prompt = ChatPromptTemplate.from_messages(\n",
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" [\n",
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" (\"system\", \"You are a helpful assistant.\"),\n",
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" MessagesPlaceholder(variable_name=\"history\"),\n",
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" (\"human\", \"{question}\"),\n",
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" ]\n",
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")\n",
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"\n",
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"# Create the LCEL runnable\n",
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"chain = prompt | ChatOpenAI()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "20dfd838-b549-42ed-b3ba-ac005f7e024c",
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"metadata": {},
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"outputs": [],
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"source": [
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"chain_with_history = RunnableWithMessageHistory(\n",
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" chain,\n",
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" lambda session_id: CouchbaseChatMessageHistory(\n",
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" cluster=cluster,\n",
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" bucket_name=BUCKET_NAME,\n",
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" scope_name=SCOPE_NAME,\n",
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" collection_name=COLLECTION_NAME,\n",
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" session_id=session_id,\n",
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" ),\n",
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" input_messages_key=\"question\",\n",
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" history_messages_key=\"history\",\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "17bd09f4-896d-433d-bb9a-369a06e7aa8a",
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"metadata": {},
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"outputs": [],
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"source": [
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"# This is where we configure the session id\n",
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"config = {\"configurable\": {\"session_id\": \"testing\"}}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "4bda1096-2fc2-40d7-a046-0d5d8e3a8f75",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"AIMessage(content='Hello Bob! How can I assist you today?', response_metadata={'token_usage': {'completion_tokens': 10, 'prompt_tokens': 22, 'total_tokens': 32}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-a0f8a29e-ddf4-4e06-a1fe-cf8c325a2b72-0', usage_metadata={'input_tokens': 22, 'output_tokens': 10, 'total_tokens': 32})"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"chain_with_history.invoke({\"question\": \"Hi! I'm bob\"}, config=config)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"id": "1cfb31da-51bb-4c5f-909a-b7118b0ae08d",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"AIMessage(content='Your name is Bob.', response_metadata={'token_usage': {'completion_tokens': 5, 'prompt_tokens': 43, 'total_tokens': 48}, 'model_name': 'gpt-3.5-turbo-0125', 'system_fingerprint': None, 'finish_reason': 'stop', 'logprobs': None}, id='run-f764a9eb-999e-4042-96b6-fe47b7ae4779-0', usage_metadata={'input_tokens': 43, 'output_tokens': 5, 'total_tokens': 48})"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"chain_with_history.invoke({\"question\": \"Whats my name\"}, config=config)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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@ -89,3 +89,23 @@ set_llm_cache(
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)
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)
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```
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## Chat Message History
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Use Couchbase as the storage for your chat messages.
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See a [usage example](/docs/integrations/memory/couchbase_chat_message_history).
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To use the chat message history in your applications:
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```python
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from langchain_couchbase.chat_message_histories import CouchbaseChatMessageHistory
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message_history = CouchbaseChatMessageHistory(
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cluster=cluster,
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bucket_name=BUCKET_NAME,
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scope_name=SCOPE_NAME,
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collection_name=COLLECTION_NAME,
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session_id="test-session",
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)
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message_history.add_user_message("hi!")
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```
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@ -1,7 +1,10 @@
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from langchain_couchbase.cache import CouchbaseCache, CouchbaseSemanticCache
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from langchain_couchbase.chat_message_histories import CouchbaseChatMessageHistory
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from langchain_couchbase.vectorstores import CouchbaseVectorStore
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__all__ = [
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"CouchbaseVectorStore",
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"CouchbaseCache",
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"CouchbaseSemanticCache",
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"CouchbaseChatMessageHistory",
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]
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@ -0,0 +1,222 @@
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import logging
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import uuid
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from typing import Any, Dict, List, Sequence
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from couchbase.cluster import Cluster
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from langchain_core.chat_history import BaseChatMessageHistory
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from langchain_core.messages import (
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BaseMessage,
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message_to_dict,
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messages_from_dict,
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)
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logger = logging.getLogger(__name__)
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DEFAULT_SESSION_ID_KEY = "session_id"
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DEFAULT_MESSAGE_KEY = "message"
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DEFAULT_INDEX_NAME = "LANGCHAIN_CHAT_HISTORY"
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DEFAULT_BATCH_SIZE = 100
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class CouchbaseChatMessageHistory(BaseChatMessageHistory):
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"""Couchbase Chat Message History
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Chat message history that uses Couchbase as the storage
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"""
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def _check_bucket_exists(self) -> bool:
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"""Check if the bucket exists in the linked Couchbase cluster"""
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bucket_manager = self._cluster.buckets()
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try:
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bucket_manager.get_bucket(self._bucket_name)
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return True
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except Exception:
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return False
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def _check_scope_and_collection_exists(self) -> bool:
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"""Check if the scope and collection exists in the linked Couchbase bucket
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Raises a ValueError if either is not found"""
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scope_collection_map: Dict[str, Any] = {}
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# Get a list of all scopes in the bucket
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for scope in self._bucket.collections().get_all_scopes():
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scope_collection_map[scope.name] = []
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# Get a list of all the collections in the scope
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for collection in scope.collections:
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scope_collection_map[scope.name].append(collection.name)
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# Check if the scope exists
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if self._scope_name not in scope_collection_map.keys():
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raise ValueError(
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f"Scope {self._scope_name} not found in Couchbase "
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f"bucket {self._bucket_name}"
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)
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# Check if the collection exists in the scope
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if self._collection_name not in scope_collection_map[self._scope_name]:
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raise ValueError(
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f"Collection {self._collection_name} not found in scope "
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f"{self._scope_name} in Couchbase bucket "
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f"{self._bucket_name}"
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)
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return True
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def __init__(
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self,
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*,
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cluster: Cluster,
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bucket_name: str,
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scope_name: str,
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collection_name: str,
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session_id: str,
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session_id_key: str = DEFAULT_SESSION_ID_KEY,
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message_key: str = DEFAULT_MESSAGE_KEY,
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create_index: bool = True,
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) -> None:
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"""Initialize the Couchbase Chat Message History
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Args:
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cluster (Cluster): couchbase cluster object with active connection.
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bucket_name (str): name of the bucket to store documents in.
|
||||
scope_name (str): name of the scope in bucket to store documents in.
|
||||
collection_name (str): name of the collection in the scope to store
|
||||
documents in.
|
||||
session_id (str): value for the session used to associate messages from
|
||||
a single chat session. It is stored as a field in the chat message.
|
||||
session_id_key (str): name of the field to use for the session id.
|
||||
Set to "session_id" by default.
|
||||
message_key (str): name of the field to use for the messages
|
||||
Set to "message" by default.
|
||||
create_index (bool): create an index if True. Set to True by default.
|
||||
"""
|
||||
if not isinstance(cluster, Cluster):
|
||||
raise ValueError(
|
||||
f"cluster should be an instance of couchbase.Cluster, "
|
||||
f"got {type(cluster)}"
|
||||
)
|
||||
|
||||
self._cluster = cluster
|
||||
|
||||
self._bucket_name = bucket_name
|
||||
self._scope_name = scope_name
|
||||
self._collection_name = collection_name
|
||||
|
||||
# Check if the bucket exists
|
||||
if not self._check_bucket_exists():
|
||||
raise ValueError(
|
||||
f"Bucket {self._bucket_name} does not exist. "
|
||||
" Please create the bucket before searching."
|
||||
)
|
||||
|
||||
try:
|
||||
self._bucket = self._cluster.bucket(self._bucket_name)
|
||||
self._scope = self._bucket.scope(self._scope_name)
|
||||
self._collection = self._scope.collection(self._collection_name)
|
||||
except Exception as e:
|
||||
raise ValueError(
|
||||
"Error connecting to couchbase. "
|
||||
"Please check the connection and credentials."
|
||||
) from e
|
||||
|
||||
# Check if the scope and collection exists. Throws ValueError if they don't
|
||||
try:
|
||||
self._check_scope_and_collection_exists()
|
||||
except Exception as e:
|
||||
raise e
|
||||
|
||||
self._session_id_key = session_id_key
|
||||
self._message_key = message_key
|
||||
self._create_index = create_index
|
||||
self._session_id = session_id
|
||||
|
||||
# Create an index if it does not exist if requested
|
||||
if create_index:
|
||||
index_fields = f"({self._session_id_key}, {self._message_key})"
|
||||
index_creation_query = (
|
||||
f"CREATE INDEX {DEFAULT_INDEX_NAME} IF NOT EXISTS ON "
|
||||
+ f"{self._collection_name}{index_fields} "
|
||||
)
|
||||
|
||||
try:
|
||||
self._scope.query(index_creation_query).execute()
|
||||
except Exception as e:
|
||||
logger.error("Error creating index: ", e)
|
||||
|
||||
def add_message(self, message: BaseMessage) -> None:
|
||||
"""Add a message to the cache"""
|
||||
# Generate a UUID for the document key
|
||||
document_key = uuid.uuid4().hex
|
||||
message_content = message_to_dict(message)
|
||||
try:
|
||||
self._collection.insert(
|
||||
document_key,
|
||||
value={
|
||||
self._message_key: message_content,
|
||||
self._session_id_key: self._session_id,
|
||||
},
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error("Error adding message: ", e)
|
||||
|
||||
def add_messages(self, messages: Sequence[BaseMessage]) -> None:
|
||||
"""Add messages to the cache in a batched manner"""
|
||||
batch_size = DEFAULT_BATCH_SIZE
|
||||
messages_to_insert = []
|
||||
for message in messages:
|
||||
document_key = uuid.uuid4().hex
|
||||
message_content = message_to_dict(message)
|
||||
messages_to_insert.append(
|
||||
{
|
||||
document_key: {
|
||||
self._message_key: message_content,
|
||||
self._session_id_key: self._session_id,
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
# Add the messages to the cache in batches of batch_size
|
||||
try:
|
||||
for i in range(0, len(messages_to_insert), batch_size):
|
||||
batch = messages_to_insert[i : i + batch_size]
|
||||
# Convert list of dictionaries to a single dictionary to insert
|
||||
insert_batch = {list(d.keys())[0]: list(d.values())[0] for d in batch}
|
||||
self._collection.insert_multi(insert_batch)
|
||||
except Exception as e:
|
||||
logger.error("Error adding messages: ", e)
|
||||
|
||||
def clear(self) -> None:
|
||||
"""Clear the cache"""
|
||||
# Delete all documents in the collection with the session_id
|
||||
clear_query = (
|
||||
f"DELETE FROM `{self._collection_name}`"
|
||||
+ f"where {self._session_id_key}=$session_id"
|
||||
)
|
||||
try:
|
||||
self._scope.query(clear_query, session_id=self._session_id).execute()
|
||||
except Exception as e:
|
||||
logger.error("Error clearing cache: ", e)
|
||||
|
||||
@property
|
||||
def messages(self) -> List[BaseMessage]:
|
||||
"""Get all messages in the cache associated with the session_id"""
|
||||
fetch_query = (
|
||||
f"SELECT {self._message_key} FROM `{self._collection_name}` "
|
||||
+ f"where {self._session_id_key}=$session_id"
|
||||
)
|
||||
message_items = []
|
||||
|
||||
try:
|
||||
result = self._scope.query(fetch_query, session_id=self._session_id)
|
||||
for document in result:
|
||||
message_items.append(document[f"{self._message_key}"])
|
||||
except Exception as e:
|
||||
logger.error("Error fetching messages: ", e)
|
||||
|
||||
return messages_from_dict(message_items)
|
||||
|
||||
@messages.setter
|
||||
def messages(self, messages: List[BaseMessage]) -> None:
|
||||
raise NotImplementedError(
|
||||
"Direct assignment to 'messages' is not allowed."
|
||||
" Use the 'add_messages' instead."
|
||||
)
|
||||
763
libs/partners/couchbase/poetry.lock
generated
763
libs/partners/couchbase/poetry.lock
generated
@ -1,5 +1,115 @@
|
||||
# This file is automatically @generated by Poetry 1.8.1 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "aiohttp"
|
||||
version = "3.9.5"
|
||||
description = "Async http client/server framework (asyncio)"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "aiohttp-3.9.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:fcde4c397f673fdec23e6b05ebf8d4751314fa7c24f93334bf1f1364c1c69ac7"},
|
||||
{file = "aiohttp-3.9.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5d6b3f1fabe465e819aed2c421a6743d8debbde79b6a8600739300630a01bf2c"},
|
||||
{file = "aiohttp-3.9.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6ae79c1bc12c34082d92bf9422764f799aee4746fd7a392db46b7fd357d4a17a"},
|
||||
{file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4d3ebb9e1316ec74277d19c5f482f98cc65a73ccd5430540d6d11682cd857430"},
|
||||
{file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:84dabd95154f43a2ea80deffec9cb44d2e301e38a0c9d331cc4aa0166fe28ae3"},
|
||||
{file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c8a02fbeca6f63cb1f0475c799679057fc9268b77075ab7cf3f1c600e81dd46b"},
|
||||
{file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c26959ca7b75ff768e2776d8055bf9582a6267e24556bb7f7bd29e677932be72"},
|
||||
{file = "aiohttp-3.9.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:714d4e5231fed4ba2762ed489b4aec07b2b9953cf4ee31e9871caac895a839c0"},
|
||||
{file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e7a6a8354f1b62e15d48e04350f13e726fa08b62c3d7b8401c0a1314f02e3558"},
|
||||
{file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:c413016880e03e69d166efb5a1a95d40f83d5a3a648d16486592c49ffb76d0db"},
|
||||
{file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:ff84aeb864e0fac81f676be9f4685f0527b660f1efdc40dcede3c251ef1e867f"},
|
||||
{file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:ad7f2919d7dac062f24d6f5fe95d401597fbb015a25771f85e692d043c9d7832"},
|
||||
{file = "aiohttp-3.9.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:702e2c7c187c1a498a4e2b03155d52658fdd6fda882d3d7fbb891a5cf108bb10"},
|
||||
{file = "aiohttp-3.9.5-cp310-cp310-win32.whl", hash = "sha256:67c3119f5ddc7261d47163ed86d760ddf0e625cd6246b4ed852e82159617b5fb"},
|
||||
{file = "aiohttp-3.9.5-cp310-cp310-win_amd64.whl", hash = "sha256:471f0ef53ccedec9995287f02caf0c068732f026455f07db3f01a46e49d76bbb"},
|
||||
{file = "aiohttp-3.9.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:e0ae53e33ee7476dd3d1132f932eeb39bf6125083820049d06edcdca4381f342"},
|
||||
{file = "aiohttp-3.9.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c088c4d70d21f8ca5c0b8b5403fe84a7bc8e024161febdd4ef04575ef35d474d"},
|
||||
{file = "aiohttp-3.9.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:639d0042b7670222f33b0028de6b4e2fad6451462ce7df2af8aee37dcac55424"},
|
||||
{file = "aiohttp-3.9.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f26383adb94da5e7fb388d441bf09c61e5e35f455a3217bfd790c6b6bc64b2ee"},
|
||||
{file = "aiohttp-3.9.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:66331d00fb28dc90aa606d9a54304af76b335ae204d1836f65797d6fe27f1ca2"},
|
||||
{file = "aiohttp-3.9.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4ff550491f5492ab5ed3533e76b8567f4b37bd2995e780a1f46bca2024223233"},
|
||||
{file = "aiohttp-3.9.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f22eb3a6c1080d862befa0a89c380b4dafce29dc6cd56083f630073d102eb595"},
|
||||
{file = "aiohttp-3.9.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a81b1143d42b66ffc40a441379387076243ef7b51019204fd3ec36b9f69e77d6"},
|
||||
{file = "aiohttp-3.9.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:f64fd07515dad67f24b6ea4a66ae2876c01031de91c93075b8093f07c0a2d93d"},
|
||||
{file = "aiohttp-3.9.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:93e22add827447d2e26d67c9ac0161756007f152fdc5210277d00a85f6c92323"},
|
||||
{file = "aiohttp-3.9.5-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:55b39c8684a46e56ef8c8d24faf02de4a2b2ac60d26cee93bc595651ff545de9"},
|
||||
{file = "aiohttp-3.9.5-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:4715a9b778f4293b9f8ae7a0a7cef9829f02ff8d6277a39d7f40565c737d3771"},
|
||||
{file = "aiohttp-3.9.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:afc52b8d969eff14e069a710057d15ab9ac17cd4b6753042c407dcea0e40bf75"},
|
||||
{file = "aiohttp-3.9.5-cp311-cp311-win32.whl", hash = "sha256:b3df71da99c98534be076196791adca8819761f0bf6e08e07fd7da25127150d6"},
|
||||
{file = "aiohttp-3.9.5-cp311-cp311-win_amd64.whl", hash = "sha256:88e311d98cc0bf45b62fc46c66753a83445f5ab20038bcc1b8a1cc05666f428a"},
|
||||
{file = "aiohttp-3.9.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:c7a4b7a6cf5b6eb11e109a9755fd4fda7d57395f8c575e166d363b9fc3ec4678"},
|
||||
{file = "aiohttp-3.9.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:0a158704edf0abcac8ac371fbb54044f3270bdbc93e254a82b6c82be1ef08f3c"},
|
||||
{file = "aiohttp-3.9.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d153f652a687a8e95ad367a86a61e8d53d528b0530ef382ec5aaf533140ed00f"},
|
||||
{file = "aiohttp-3.9.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:82a6a97d9771cb48ae16979c3a3a9a18b600a8505b1115cfe354dfb2054468b4"},
|
||||
{file = "aiohttp-3.9.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:60cdbd56f4cad9f69c35eaac0fbbdf1f77b0ff9456cebd4902f3dd1cf096464c"},
|
||||
{file = "aiohttp-3.9.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8676e8fd73141ded15ea586de0b7cda1542960a7b9ad89b2b06428e97125d4fa"},
|
||||
{file = "aiohttp-3.9.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da00da442a0e31f1c69d26d224e1efd3a1ca5bcbf210978a2ca7426dfcae9f58"},
|
||||
{file = "aiohttp-3.9.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:18f634d540dd099c262e9f887c8bbacc959847cfe5da7a0e2e1cf3f14dbf2daf"},
|
||||
{file = "aiohttp-3.9.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:320e8618eda64e19d11bdb3bd04ccc0a816c17eaecb7e4945d01deee2a22f95f"},
|
||||
{file = "aiohttp-3.9.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:2faa61a904b83142747fc6a6d7ad8fccff898c849123030f8e75d5d967fd4a81"},
|
||||
{file = "aiohttp-3.9.5-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:8c64a6dc3fe5db7b1b4d2b5cb84c4f677768bdc340611eca673afb7cf416ef5a"},
|
||||
{file = "aiohttp-3.9.5-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:393c7aba2b55559ef7ab791c94b44f7482a07bf7640d17b341b79081f5e5cd1a"},
|
||||
{file = "aiohttp-3.9.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:c671dc117c2c21a1ca10c116cfcd6e3e44da7fcde37bf83b2be485ab377b25da"},
|
||||
{file = "aiohttp-3.9.5-cp312-cp312-win32.whl", hash = "sha256:5a7ee16aab26e76add4afc45e8f8206c95d1d75540f1039b84a03c3b3800dd59"},
|
||||
{file = "aiohttp-3.9.5-cp312-cp312-win_amd64.whl", hash = "sha256:5ca51eadbd67045396bc92a4345d1790b7301c14d1848feaac1d6a6c9289e888"},
|
||||
{file = "aiohttp-3.9.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:694d828b5c41255e54bc2dddb51a9f5150b4eefa9886e38b52605a05d96566e8"},
|
||||
{file = "aiohttp-3.9.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0605cc2c0088fcaae79f01c913a38611ad09ba68ff482402d3410bf59039bfb8"},
|
||||
{file = "aiohttp-3.9.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4558e5012ee03d2638c681e156461d37b7a113fe13970d438d95d10173d25f78"},
|
||||
{file = "aiohttp-3.9.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9dbc053ac75ccc63dc3a3cc547b98c7258ec35a215a92bd9f983e0aac95d3d5b"},
|
||||
{file = "aiohttp-3.9.5-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4109adee842b90671f1b689901b948f347325045c15f46b39797ae1bf17019de"},
|
||||
{file = "aiohttp-3.9.5-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a6ea1a5b409a85477fd8e5ee6ad8f0e40bf2844c270955e09360418cfd09abac"},
|
||||
{file = "aiohttp-3.9.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3c2890ca8c59ee683fd09adf32321a40fe1cf164e3387799efb2acebf090c11"},
|
||||
{file = "aiohttp-3.9.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3916c8692dbd9d55c523374a3b8213e628424d19116ac4308e434dbf6d95bbdd"},
|
||||
{file = "aiohttp-3.9.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:8d1964eb7617907c792ca00b341b5ec3e01ae8c280825deadbbd678447b127e1"},
|
||||
{file = "aiohttp-3.9.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:d5ab8e1f6bee051a4bf6195e38a5c13e5e161cb7bad83d8854524798bd9fcd6e"},
|
||||
{file = "aiohttp-3.9.5-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:52c27110f3862a1afbcb2af4281fc9fdc40327fa286c4625dfee247c3ba90156"},
|
||||
{file = "aiohttp-3.9.5-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:7f64cbd44443e80094309875d4f9c71d0401e966d191c3d469cde4642bc2e031"},
|
||||
{file = "aiohttp-3.9.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8b4f72fbb66279624bfe83fd5eb6aea0022dad8eec62b71e7bf63ee1caadeafe"},
|
||||
{file = "aiohttp-3.9.5-cp38-cp38-win32.whl", hash = "sha256:6380c039ec52866c06d69b5c7aad5478b24ed11696f0e72f6b807cfb261453da"},
|
||||
{file = "aiohttp-3.9.5-cp38-cp38-win_amd64.whl", hash = "sha256:da22dab31d7180f8c3ac7c7635f3bcd53808f374f6aa333fe0b0b9e14b01f91a"},
|
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|
||||
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|
||||
|
||||
[package.dependencies]
|
||||
aiosignal = ">=1.1.2"
|
||||
async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
|
||||
attrs = ">=17.3.0"
|
||||
frozenlist = ">=1.1.1"
|
||||
multidict = ">=4.5,<7.0"
|
||||
yarl = ">=1.0,<2.0"
|
||||
|
||||
[package.extras]
|
||||
speedups = ["Brotli", "aiodns", "brotlicffi"]
|
||||
|
||||
[[package]]
|
||||
name = "aiosignal"
|
||||
version = "1.3.1"
|
||||
description = "aiosignal: a list of registered asynchronous callbacks"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
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||||
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|
||||
|
||||
[package.dependencies]
|
||||
frozenlist = ">=1.1.0"
|
||||
|
||||
[[package]]
|
||||
name = "annotated-types"
|
||||
version = "0.7.0"
|
||||
@ -14,6 +124,36 @@ files = [
|
||||
[package.dependencies]
|
||||
typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
|
||||
|
||||
[[package]]
|
||||
name = "async-timeout"
|
||||
version = "4.0.3"
|
||||
description = "Timeout context manager for asyncio programs"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
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||||
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||||
|
||||
[[package]]
|
||||
name = "attrs"
|
||||
version = "23.2.0"
|
||||
description = "Classes Without Boilerplate"
|
||||
optional = false
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||||
python-versions = ">=3.7"
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||||
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|
||||
|
||||
[package.extras]
|
||||
cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
|
||||
dev = ["attrs[tests]", "pre-commit"]
|
||||
docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
|
||||
tests = ["attrs[tests-no-zope]", "zope-interface"]
|
||||
tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
|
||||
tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
|
||||
|
||||
[[package]]
|
||||
name = "certifi"
|
||||
version = "2024.7.4"
|
||||
@ -188,18 +328,175 @@ files = [
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||||
|
||||
[[package]]
|
||||
name = "exceptiongroup"
|
||||
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|
||||
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|
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|
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|
||||
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|
||||
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|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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|
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{file = "greenlet-3.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:c5ee858cfe08f34712f548c3c363e807e7186f03ad7a5039ebadb29e8c6be067"},
|
||||
{file = "greenlet-3.0.3.tar.gz", hash = "sha256:43374442353259554ce33599da8b692d5aa96f8976d567d4badf263371fbe491"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["Sphinx", "furo"]
|
||||
test = ["objgraph", "psutil"]
|
||||
|
||||
[[package]]
|
||||
name = "idna"
|
||||
version = "3.7"
|
||||
@ -247,9 +544,36 @@ files = [
|
||||
{file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "langchain"
|
||||
version = "0.2.9"
|
||||
description = "Building applications with LLMs through composability"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "langchain-0.2.9-py3-none-any.whl", hash = "sha256:be23fcb29adbd5059944f1fed08fa575f0739d420b1c4127531e0fbf5663fcca"},
|
||||
{file = "langchain-0.2.9.tar.gz", hash = "sha256:cc326a7f6347787a19882928c324433b1a79df629bba45604b2d26495ee5d69c"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
aiohttp = ">=3.8.3,<4.0.0"
|
||||
async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
|
||||
langchain-core = ">=0.2.20,<0.3.0"
|
||||
langchain-text-splitters = ">=0.2.0,<0.3.0"
|
||||
langsmith = ">=0.1.17,<0.2.0"
|
||||
numpy = [
|
||||
{version = ">=1,<2", markers = "python_version < \"3.12\""},
|
||||
{version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
|
||||
]
|
||||
pydantic = ">=1,<3"
|
||||
PyYAML = ">=5.3"
|
||||
requests = ">=2,<3"
|
||||
SQLAlchemy = ">=1.4,<3"
|
||||
tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "langchain-core"
|
||||
version = "0.2.11"
|
||||
version = "0.2.20"
|
||||
description = "Building applications with LLMs through composability"
|
||||
optional = false
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
@ -271,15 +595,29 @@ tenacity = "^8.1.0,!=8.4.0"
|
||||
type = "directory"
|
||||
url = "../../core"
|
||||
|
||||
[[package]]
|
||||
name = "langchain-text-splitters"
|
||||
version = "0.2.2"
|
||||
description = "LangChain text splitting utilities"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "langchain_text_splitters-0.2.2-py3-none-any.whl", hash = "sha256:1c80d4b11b55e2995f02d2a326c0323ee1eeff24507329bb22924e420c782dff"},
|
||||
{file = "langchain_text_splitters-0.2.2.tar.gz", hash = "sha256:a1e45de10919fa6fb080ef0525deab56557e9552083600455cb9fa4238076140"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
langchain-core = ">=0.2.10,<0.3.0"
|
||||
|
||||
[[package]]
|
||||
name = "langsmith"
|
||||
version = "0.1.83"
|
||||
version = "0.1.87"
|
||||
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.8.1"
|
||||
files = [
|
||||
{file = "langsmith-0.1.83-py3-none-any.whl", hash = "sha256:f54d8cd8479b648b6339f3f735d19292c3516d080f680933ecdca3eab4b67ed3"},
|
||||
{file = "langsmith-0.1.83.tar.gz", hash = "sha256:5cdd947212c8ad19adb992c06471c860185a777daa6859bb47150f90daf64bf3"},
|
||||
{file = "langsmith-0.1.87-py3-none-any.whl", hash = "sha256:4cd19539c29367f812667e43c0fb0b6d304a078246508df85c38c4ea3df2d0cf"},
|
||||
{file = "langsmith-0.1.87.tar.gz", hash = "sha256:d2422099708af5717d01559731c1c62d49aebf05a420015e30f6dca5ed44227c"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -290,6 +628,105 @@ pydantic = [
|
||||
]
|
||||
requests = ">=2,<3"
|
||||
|
||||
[[package]]
|
||||
name = "multidict"
|
||||
version = "6.0.5"
|
||||
description = "multidict implementation"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
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||||
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||||
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||||
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||||
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
greenlet = {version = "!=0.4.17", markers = "python_version < \"3.13\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
|
||||
typing-extensions = ">=4.6.0"
|
||||
|
||||
[package.extras]
|
||||
aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
|
||||
aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
|
||||
aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
|
||||
asyncio = ["greenlet (!=0.4.17)"]
|
||||
asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
|
||||
mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5)"]
|
||||
mssql = ["pyodbc"]
|
||||
mssql-pymssql = ["pymssql"]
|
||||
mssql-pyodbc = ["pyodbc"]
|
||||
mypy = ["mypy (>=0.910)"]
|
||||
mysql = ["mysqlclient (>=1.4.0)"]
|
||||
mysql-connector = ["mysql-connector-python"]
|
||||
oracle = ["cx_oracle (>=8)"]
|
||||
oracle-oracledb = ["oracledb (>=1.0.1)"]
|
||||
postgresql = ["psycopg2 (>=2.7)"]
|
||||
postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
|
||||
postgresql-pg8000 = ["pg8000 (>=1.29.1)"]
|
||||
postgresql-psycopg = ["psycopg (>=3.0.7)"]
|
||||
postgresql-psycopg2binary = ["psycopg2-binary"]
|
||||
postgresql-psycopg2cffi = ["psycopg2cffi"]
|
||||
postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
|
||||
pymysql = ["pymysql"]
|
||||
sqlcipher = ["sqlcipher3_binary"]
|
||||
|
||||
[[package]]
|
||||
name = "syrupy"
|
||||
version = "4.6.1"
|
||||
@ -786,7 +1392,110 @@ h2 = ["h2 (>=4,<5)"]
|
||||
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
|
||||
zstd = ["zstandard (>=0.18.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "yarl"
|
||||
version = "1.9.4"
|
||||
description = "Yet another URL library"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
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|
||||
{file = "yarl-1.9.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ba6f52cbc7809cd8d74604cce9c14868306ae4aa0282016b641c661f981a6e91"},
|
||||
{file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a6327976c7c2f4ee6816eff196e25385ccc02cb81427952414a64811037bbc8b"},
|
||||
{file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8397a3817d7dcdd14bb266283cd1d6fc7264a48c186b986f32e86d86d35fbac5"},
|
||||
{file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e0381b4ce23ff92f8170080c97678040fc5b08da85e9e292292aba67fdac6c34"},
|
||||
{file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23d32a2594cb5d565d358a92e151315d1b2268bc10f4610d098f96b147370136"},
|
||||
{file = "yarl-1.9.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ddb2a5c08a4eaaba605340fdee8fc08e406c56617566d9643ad8bf6852778fc7"},
|
||||
{file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:26a1dc6285e03f3cc9e839a2da83bcbf31dcb0d004c72d0730e755b33466c30e"},
|
||||
{file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:18580f672e44ce1238b82f7fb87d727c4a131f3a9d33a5e0e82b793362bf18b4"},
|
||||
{file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:29e0f83f37610f173eb7e7b5562dd71467993495e568e708d99e9d1944f561ec"},
|
||||
{file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:1f23e4fe1e8794f74b6027d7cf19dc25f8b63af1483d91d595d4a07eca1fb26c"},
|
||||
{file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:db8e58b9d79200c76956cefd14d5c90af54416ff5353c5bfd7cbe58818e26ef0"},
|
||||
{file = "yarl-1.9.4-cp39-cp39-win32.whl", hash = "sha256:c7224cab95645c7ab53791022ae77a4509472613e839dab722a72abe5a684575"},
|
||||
{file = "yarl-1.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:824d6c50492add5da9374875ce72db7a0733b29c2394890aef23d533106e2b15"},
|
||||
{file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
|
||||
{file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
idna = ">=2.0"
|
||||
multidict = ">=4.0"
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.8.1,<4.0"
|
||||
content-hash = "270e49ec732a7f1f72ebf53e04232ca647ffa57674fb5bf7fc9affb013c5ae12"
|
||||
content-hash = "0a2c4601a26691fd3bf061961c95a19a3869c491d4670dc38b8a4c46d2c01a6e"
|
||||
|
||||
@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
|
||||
|
||||
[tool.poetry]
|
||||
name = "langchain-couchbase"
|
||||
version = "0.0.2"
|
||||
version = "0.1.0"
|
||||
description = "An integration package connecting Couchbase and LangChain"
|
||||
authors = []
|
||||
readme = "README.md"
|
||||
@ -54,6 +54,7 @@ pytest = "^7.4.3"
|
||||
pytest-asyncio = "^0.23.2"
|
||||
pytest-socket = "^0.7.0"
|
||||
syrupy = "^4.0.2"
|
||||
langchain = "^0.2.9"
|
||||
|
||||
[tool.poetry.group.codespell.dependencies]
|
||||
codespell = "^2.2.6"
|
||||
|
||||
@ -0,0 +1,155 @@
|
||||
"""Test Couchbase Chat Message History functionality"""
|
||||
|
||||
import os
|
||||
import time
|
||||
from datetime import timedelta
|
||||
from typing import Any
|
||||
|
||||
import pytest
|
||||
from couchbase.auth import PasswordAuthenticator
|
||||
from couchbase.cluster import Cluster
|
||||
from couchbase.options import ClusterOptions
|
||||
from langchain.memory import ConversationBufferMemory
|
||||
from langchain_core.messages import AIMessage, HumanMessage
|
||||
|
||||
from langchain_couchbase.chat_message_histories import CouchbaseChatMessageHistory
|
||||
|
||||
CONNECTION_STRING = os.getenv("COUCHBASE_CONNECTION_STRING", "")
|
||||
BUCKET_NAME = os.getenv("COUCHBASE_BUCKET_NAME", "")
|
||||
SCOPE_NAME = os.getenv("COUCHBASE_SCOPE_NAME", "")
|
||||
MESSAGE_HISTORY_COLLECTION_NAME = os.getenv(
|
||||
"COUCHBASE_CHAT_HISTORY_COLLECTION_NAME", ""
|
||||
)
|
||||
USERNAME = os.getenv("COUCHBASE_USERNAME", "")
|
||||
PASSWORD = os.getenv("COUCHBASE_PASSWORD", "")
|
||||
SLEEP_DURATION = 0.2
|
||||
|
||||
|
||||
def set_all_env_vars() -> bool:
|
||||
"""Check if all environment variables are set"""
|
||||
return all(
|
||||
[
|
||||
CONNECTION_STRING,
|
||||
BUCKET_NAME,
|
||||
SCOPE_NAME,
|
||||
MESSAGE_HISTORY_COLLECTION_NAME,
|
||||
USERNAME,
|
||||
PASSWORD,
|
||||
]
|
||||
)
|
||||
|
||||
|
||||
def get_cluster() -> Any:
|
||||
"""Get a couchbase cluster object"""
|
||||
auth = PasswordAuthenticator(USERNAME, PASSWORD)
|
||||
options = ClusterOptions(auth)
|
||||
connect_string = CONNECTION_STRING
|
||||
cluster = Cluster(connect_string, options)
|
||||
|
||||
# Wait until the cluster is ready for use.
|
||||
cluster.wait_until_ready(timedelta(seconds=5))
|
||||
|
||||
return cluster
|
||||
|
||||
|
||||
@pytest.fixture()
|
||||
def cluster() -> Any:
|
||||
"""Get a couchbase cluster object"""
|
||||
return get_cluster()
|
||||
|
||||
|
||||
@pytest.mark.skipif(
|
||||
not set_all_env_vars(), reason="Missing Couchbase environment variables"
|
||||
)
|
||||
class TestCouchbaseCache:
|
||||
def test_memory_with_message_store(self, cluster: Any) -> None:
|
||||
"""Test chat message history with a message store"""
|
||||
|
||||
message_history = CouchbaseChatMessageHistory(
|
||||
cluster=cluster,
|
||||
bucket_name=BUCKET_NAME,
|
||||
scope_name=SCOPE_NAME,
|
||||
collection_name=MESSAGE_HISTORY_COLLECTION_NAME,
|
||||
session_id="test-session",
|
||||
)
|
||||
|
||||
memory = ConversationBufferMemory(
|
||||
memory_key="baz", chat_memory=message_history, return_messages=True
|
||||
)
|
||||
|
||||
# clear the memory
|
||||
memory.chat_memory.clear()
|
||||
|
||||
# wait for the messages to be cleared
|
||||
time.sleep(SLEEP_DURATION)
|
||||
assert memory.chat_memory.messages == []
|
||||
|
||||
# add some messages
|
||||
ai_message = AIMessage(content="Hello, how are you doing ?")
|
||||
user_message = HumanMessage(content="I'm good, how are you?")
|
||||
memory.chat_memory.add_messages([ai_message, user_message])
|
||||
|
||||
# wait until the messages can be retrieved
|
||||
time.sleep(SLEEP_DURATION)
|
||||
|
||||
# check that the messages are in the memory
|
||||
messages = memory.chat_memory.messages
|
||||
assert len(messages) == 2
|
||||
for message in messages:
|
||||
assert message in [ai_message, user_message]
|
||||
|
||||
# clear the memory
|
||||
memory.chat_memory.clear()
|
||||
time.sleep(SLEEP_DURATION)
|
||||
assert memory.chat_memory.messages == []
|
||||
|
||||
def test_memory_with_separate_sessions(self, cluster: Any) -> None:
|
||||
"""Test the chat message history with multiple sessions"""
|
||||
|
||||
message_history_a = CouchbaseChatMessageHistory(
|
||||
cluster=cluster,
|
||||
bucket_name=BUCKET_NAME,
|
||||
scope_name=SCOPE_NAME,
|
||||
collection_name=MESSAGE_HISTORY_COLLECTION_NAME,
|
||||
session_id="test-session-a",
|
||||
)
|
||||
|
||||
message_history_b = CouchbaseChatMessageHistory(
|
||||
cluster=cluster,
|
||||
bucket_name=BUCKET_NAME,
|
||||
scope_name=SCOPE_NAME,
|
||||
collection_name=MESSAGE_HISTORY_COLLECTION_NAME,
|
||||
session_id="test-session-b",
|
||||
)
|
||||
|
||||
memory_a = ConversationBufferMemory(
|
||||
memory_key="a", chat_memory=message_history_a, return_messages=True
|
||||
)
|
||||
memory_b = ConversationBufferMemory(
|
||||
memory_key="b", chat_memory=message_history_b, return_messages=True
|
||||
)
|
||||
|
||||
# clear the memory
|
||||
memory_a.chat_memory.clear()
|
||||
memory_b.chat_memory.clear()
|
||||
|
||||
# add some messages
|
||||
ai_message = AIMessage(content="Hello, how are you doing ?")
|
||||
user_message = HumanMessage(content="I'm good, how are you?")
|
||||
memory_a.chat_memory.add_ai_message(ai_message)
|
||||
memory_b.chat_memory.add_user_message(user_message)
|
||||
|
||||
# wait until the messages can be retrieved
|
||||
time.sleep(SLEEP_DURATION)
|
||||
|
||||
# check that the messages are in the memory
|
||||
messages_a = memory_a.chat_memory.messages
|
||||
messages_b = memory_b.chat_memory.messages
|
||||
assert len(messages_a) == 1
|
||||
assert len(messages_b) == 1
|
||||
assert messages_a[0] == ai_message
|
||||
assert messages_b[0] == user_message
|
||||
|
||||
# clear the memory
|
||||
memory_a.chat_memory.clear()
|
||||
memory_b.chat_memory.clear()
|
||||
@ -4,6 +4,7 @@ EXPECTED_ALL = [
|
||||
"CouchbaseVectorStore",
|
||||
"CouchbaseCache",
|
||||
"CouchbaseSemanticCache",
|
||||
"CouchbaseChatMessageHistory",
|
||||
]
|
||||
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user