Transformer课程 业务对话机器人Rasa 3.x 持续集成 和持续部署

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Transformer课程 业务对话机器人Rasa 3.x 持续集成 和持续部署

Continuous Integration and Continuous Deployment

即使开发上下文助手不同于开发传统软件，您仍然应该遵循软件开发最佳实践。设置持续集成 和持续部署 管道可确保对bot的增量更新能够改善它，而不会损害它。

Overview

持续集成是频繁合并代码更改并在提交更改时自动测试更改的实践。连续部署意味着自动将集成的更改部署到暂存或生产环境。它们使您能够更频繁地改进助手，并有效地测试和部署这些更改。

本指南将涵盖特定于Rasa项目的持续集成、持续部署管道中应包含的内容。 建议选择一个与您使用的任何Git存储库集成的工具。

Continuous Integration

改进助手的最佳方法是经常进行增量更新。无论变化有多小，您都要确保它不会带来新问题或对助理的绩效产生负面影响。

通常最好在合并/拉取请求或提交时运行检查。大多数测试都足够快，可以在每次更改时运行。但是，仅当某些文件已更改或存在其他指示器时，才可以选择运行资源密集型测试。例如，如果您的代码托管在Github上，则只有在拉取请求具有特定标签（例如“需要NLU测试”）的情况下，才能进行测试运行。

Continuous Integration Pipeline Overview

持续集成管道应包括模型训练和测试，作为简化部署过程的步骤。保存新训练数据后的第一步是启动管道。这可以手动启动，也可以在创建或更新请求时启动。

接下来，您需要运行各种测试集，以查看更改的影响。这包括为数据验证、NLU交叉验证和故事测试运行测试。有关测试的更多信息，请参阅测试助手。

最后一步是检查测试结果，如果测试成功，则推动更改。一旦新模型经过训练和测试，就可以使用连续部署管道自动部署它。

GitHub Actions CI Pipeline

您可以在持续集成管道中使用Rasa Train Test Github操作自动执行数据验证、训练和测试。

使用Github操作的持续集成管道示例如下所示：

jobs:
  training-testing:
    name: Training and Testing
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v1
      - name: Rasa Train and Test GitHub Action
        uses: RasaHQ/rasa-train-test-gha@main
        with:
          requirements_file: requirements.txt
          data_validate: true
          rasa_train: true
          cross_validation: true
          rasa_test: true
          test_type: all
          publish_summary: true
          github_token: $ secrets.GITHUB_TOKEN 
      - name: Upload model
        if: github.ref == refs/heads/main
        uses: actions/upload-artifact@master
        with:
          name: model
          path: models

在此管道中，Rasa Train Test Github操作在第一步执行数据验证、模型训练和故事测试，在第二步将模型文件 上传。

存储库的自述文件中提供了Rasa Train Test Github操作的完整可配置参数列表。

当publish_summary设置为true时，此操作将自动将模型的测试结果作为注释发布到关联的Pull请求：

Transformer课程


可以根据评估结果批准或拒绝拉取请求，并且在许多情况下，如果所有 检查都通过，您将希望自动化模型的部署。您可以继续到下一节，以了解有关连续部署的更多信息。

Continuous Deployment

要经常向用户提供改进，您需要尽可能多地自动化部署过程。

一旦 检查成功，持续部署步骤通常在推送或合并到某个分支时运行。

Deploying Your Rasa Model

如果您在持续集成管道中运行了测试故事，那么您已经拥有了一个经过训练的模型。如果持续集成结果令人满意，您可以设置持续部署管道，将经过训练的模型上载到Rasa服务器。例如，要将模型上载到Rasa X：

curl -k -F "model=@models/my_model.tar.gz" "https://example.rasa.com/api/projects/default/models?api_token=your_api_token"

如果您使用的是Rasa X，则还可以将上载的模型标记为生产（或使用多个部署环境时要标记的任何部署）：

curl -X PUT "https://example.rasa.com/api/projects/default/models/my_model/tags/production"

行动守则的更新

如果更新包括对模型和操作代码的更改，并且这些更改以任何方式相互依赖，则不应自动将模型标记为生产。您首先需要构建和部署更新的操作服务器，以便新模型不会调用更新前操作服务器中不存在的操作。

Deploying Your Action Server

对于操作代码的每次更新，您都可以自动为操作服务器构建新映像并将其上载到映像存储库。如上所述，如果操作服务器与当前生产模型不兼容，请小心在生产中自动部署新的映像标记。

作为示例，请参见Rara Rasa助手以及Carbon Bot。两者都将Github操作用作持续集成 和持续部署工具。

这些例子只是许多可能性中的两个。如果您有自己喜欢的持续集成 和持续部署设置，请与论坛上的Rasa社区共享。

​​https://github.com/RasaHQ/carbon-bot/blob/master/.github/workflows/model_ci.yml​​

name: Model CI
on:
  push:
    branches:
    - master
  pull_request:
    types: [opened, synchronize, reopened]

env:
  DOMAIN: carbon.rasa.com
  GITHUB_TOKEN: $ secrets.GITHUB_TOKEN 
  RELEASE_NAME: carbon-assistant
  NAMESPACE: carbon-assistant
  RASA_X_IMAGE_NAME: $ secrets.RASA_X_IMAGE_NAME 
  RASA_X_USERNAME: admin
  RASA_X_PASSWORD: $ secrets.RASA_X_ADMIN_PASSWORD 

jobs:
  build-model:
    name: Build, test, and upload model
    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v2

    - name: Set up Python 3.7
      uses: actions/setup-python@v1
      with:
        python-version: 3.7

    - name: Install dependencies
      run: |
        python -m pip install --upgrade "pip<20"
        pip install -r requirements.txt
    - name: Check stories are consistent
      run: |
        rasa data validate stories --max-history 5 --fail-on-warning
    - name: Train model
      run: |
        rasa train
    - name: Run Through Test Stories
      run: |
        rasa test core --stories test_stories/stories.yml --fail-on-prediction-errors
    - name: Cross-validate NLU model
      id: cvnlu
      if: github.event_name == pull_request
      run: |
        rasa test nlu -f 2 --cross-validation
        python format_results.py
    - name: Upload Cross Validation Results
      if: github.event_name == pull_request
      uses: actions/upload-artifact@v2
      with:
        name: cross-validation-result
        path: results.md

    - name: Upload model
      if: github.event_name == push && (startsWith(github.event.ref, refs/tags) || github.ref == refs/heads/master)
      uses: actions/upload-artifact@v2
      with:
        name: model
        path: models

    - name: Post cross-val results to PR
      if: steps.cvnlu.outcome == success
      uses: samsucik/comment-on-pr@comment-file-contents
      continue-on-error: true
      with:
        msg: results.md

  build-images:
    name: Build and Push Images
    runs-on: ubuntu-latest
    env:
      IS_PUSH_EVENT: $ github.event_name == push 

    steps:
    - uses: actions/checkout@v2

    - name: Set image tag
      run: |
        if [[ $IS_PUSH_EVENT == "false" ]]
        then
          IMAGE_TAG=$ github.head_ref 
        else
          IMAGE_TAG=$(basename $ github.ref )
        fi
        echo "IMAGE_TAG=$IMAGE_TAG-$ github.sha " >> $GITHUB_ENV
    # Setup gcloud CLI
    - uses: google-github-actions/setup-gcloud@v0.2.1
      name: Google Auth
      with:
        service_account_key: $ secrets.GKE_SA_KEY 
        project_id: $ secrets.GKE_PROJECT 

    # Configure docker to use the gcloud command-line tool as a credential helper
    - run: |-
        gcloud --quiet auth configure-docker
    - name: Build and push the Docker image
      run: |
        # Read and export variables from .env file
        set -o allexport; source .env; set +o allexport
        docker build . \\
          --build-arg RASA_SDK_IMAGE=rasa/rasa-sdk:$RASA_SDK_VERSION \\
          --tag gcr.io/$ secrets.GKE_PROJECT /carbon-bot-actions:$IMAGE_TAG
        docker push gcr.io/$ secrets.GKE_PROJECT /carbon-bot-actions:$IMAGE_TAG
  deploy-to-cluster:
    name: Re-deploy the cluster with the latest action server
    runs-on: ubuntu-latest

    needs:
    - build-images

    if: github.event_name == push && (startsWith(github.event.ref, refs/tags) || github.ref == refs/heads/master)

    steps:
    # Checkout repository because we need the content of the `.env` file later
    - uses: actions/checkout@v2

    - name: Set image tag
      env:
        IS_PUSH_EVENT: $ github.event_name == push 
      run: |
        if [[ $IS_PUSH_EVENT == "false" ]]
        then
          IMAGE_TAG=$ github.head_ref 
        else
          IMAGE_TAG=$(basename $ github.ref )
        fi
        echo "IMAGE_TAG=$IMAGE_TAG-$ github.sha " >> $GITHUB_ENV
    # Setup gcloud CLI
    - uses: google-github-actions/setup-gcloud@v0.2.1
      name: Google Auth
      with:
        service_account_key: $ secrets.GKE_SA_KEY 
        project_id: $ secrets.GKE_PROJECT 

    # Configure docker to use the gcloud command-line tool as a credential helper
    - run: |-
        gcloud --quiet auth configure-docker
    # Get the GKE credentials so we can deploy to the cluster
    - uses: google-github-actions/get-gke-credentials@v0.2.1
      with:
        cluster_name: $ secrets.GKE_CLUSTER 
        location: $ secrets.GKE_ZONE 
        credentials: $ secrets.GKE_SA_KEY 

    - name: Install Helm and helmfile ⛑
      run: |
        curl -fsSL -o get_helm.sh https://raw.githubusercontent.com/helm/helm/master/scripts/get-helm-3
        chmod 700 get_helm.sh
        ./get_helm.sh
        sudo curl -fsSL https://github.com/roboll/helmfile/releases/download/v0.138.7/helmfile_linux_amd64 --output /usr/local/bin/helmfile
        sudo chmod +x /usr/local/bin/helmfile
    - name: Install Chart
      env:
        DB_PASSWORD: $ secrets.DB_PASSWORD 
        RASA_TOKEN: $ secrets.RASA_TOKEN 
        RASA_X_TOKEN: $ secrets.RASA_X_TOKEN 
        JWT_SECRET: $ secrets.JWT_SECRET 
        PASSWORD_SALT: $ secrets.PASSWORD_SALT 
        REDIS_PASSWORD: $ secrets.REDIS_PASSWORD 
        RABBITMQ_PASSWORD: $ secrets.RABBITMQ_PASSWORD 
        RASA_X_ADMIN_PASSWORD: $ secrets.RASA_X_ADMIN_PASSWORD 
        GKE_PROJECT: $ secrets.GKE_PROJECT 
        FACEBOOK_VERIFY_TOKEN: $ secrets.FACEBOOK_VERIFY_TOKEN 
        FACEBOOK_APP_SECRET: $ secrets.FACEBOOK_APP_SECRET 
        FACEBOOK_PAGE_ACCESS_TOKEN: $ secrets.FACEBOOK_PAGE_ACCESS_TOKEN 
        CLIMATIQ_API_KEY: $ secrets.CLIMATIQ_API_KEY 

      run: |
        # Install helm v3
        curl https://raw.githubusercontent.com/helm/helm/master/scripts/get-helm-3 | bash
        # Read and export variables from .env file
        set -o allexport; source .env; set +o allexport
        kubectl create ns $NAMESPACE || true
        cd .github/deployments; helmfile sync
        cat <<EOF | kubectl apply --namespace $NAMESPACE -f  -
        apiVersion: networking.gke.io/v1beta1
        kind: ManagedCertificate
        metadata:
          generation: 1
          name: rasa-bots-certificate
        spec:
          domains:
          - $ env.DOMAIN 
        EOF
  upload-model:
    name: Upload the trained model to Rasa X
    needs:
    - deploy-to-cluster
    - build-model
    env:
      MODEL_DIRECTORY: "models"

    if: github.event_name == push && (startsWith(github.event.ref, refs/tags) || github.ref == refs/heads/master)
    runs-on: ubuntu-latest

    steps:
    - name: Download Model
      uses: actions/download-artifact@v2
      with:
        name: model
        path: $ env.MODEL_DIRECTORY 

    - name: Get path to model
      run: |
        ls -R
        echo "MODELNAME=$ env.MODEL_DIRECTORY /$(ls $ env.MODEL_DIRECTORY )" >> $GITHUB_ENV
    - name: Upload Model to Rasa
      run: |
        # Get token
        RASA_X_TOKEN=$(curl -s --header "Content-Type: application/json" \\
          --request POST \\
          --data "\\"username\\":\\"$RASA_X_USERNAME\\",\\"password\\":\\"$RASA_X_PASSWORD\\"" \\
          https://$ env.DOMAIN /api/auth | jq -r .access_token)
        # Upload model
        curl -k --fail -H "Authorization: Bearer $RASA_X_TOKEN" -F "model=@$MODELNAME" https://$ env.DOMAIN /api/projects/default/models
        # ensure model is ready and tag as production
        sleep 5
        export MODEL=$(basename $MODELNAME .tar.gz)
        curl --fail -XPUT -H "Authorization: Bearer $RASA_X_TOKEN" https://$ env.DOMAIN /api/projects/default/models/$MODEL/tags/production

​​https://github.com/RasaHQ/rasa-demo/blob/main/.github/workflows/continuous_integration.yml​​

name: Continuous Integration

on: [pull_request]
env:
    GDRIVE_CREDENTIALS: $ secrets.GDRIVE_CREDENTIALS 
    MAILCHIMP_LIST: $ secrets.MAILCHIMP_LIST 
    MAILCHIMP_API_KEY: $ secrets.MAILCHIMP_API_KEY 
    ALGOLIA_APP_ID: $ secrets.ALGOLIA_APP_ID 
    ALGOLIA_SEARCH_KEY: $ secrets.ALGOLIA_SEARCH_KEY 
    ALGOLIA_DOCS_INDEX: $ secrets.ALGOLIA_DOCS_INDEX 
    RASA_X_HOST: $ secrets.RASA_X_DOMAIN 
    RASA_X_PASSWORD: $ secrets.RASA_X_PASSWORD 
    RASA_X_USERNAME: $ secrets.RASA_X_USERNAME 
    RASA_X_HOST_SCHEMA: $ secrets.RASA_X_HOST_SCHEMA 
    GITHUB_TOKEN: $ secrets.GITHUB_TOKEN 
    TRACKER_DB_URL: $ secrets.TRACKER_DB_URL 
    # Due to the issue with openssl library for Google Cloud SDK (gcloud)
    # (https://github.com/GoogleCloudPlatform/github-actions/issues/128)
    # we use 297.0.01 version
    GCLOUD_VERSION: "297.0.1"

concurrency:
  group: ci-$ github.ref 
  cancel-in-progress: true


jobs:
  check_changed_files:
    name: Check for file changes
    runs-on: ubuntu-20.04
    outputs:
      nlu: $ steps.changed-files.outputs.nlu 
      core: $ steps.changed-files.outputs.core 
      training: $ steps.changed-files.outputs.training 
      actions: $ steps.changed-files.outputs.actions 
    steps:
    # Due to an issue with checking out a wrong commit, we make sure
    # to checkout HEAD commit for a pull request.
    # More details: https://github.com/actions/checkout/issues/299
    - name: Checkout pull request HEAD commit instead of merge commit
      uses: actions/checkout@v2
      if: github.event_name == pull_request
      with:
        ref: $ github.event.pull_request.head.sha 

    - name: Checkout git repository
      uses: actions/checkout@v2
      if: github.event_name != pull_request

    - uses: RasaHQ/pr-changed-files-filter@c4f7116a04b8a4596313469429e2ad235f59d9c4
      id: changed-files
      with:
        token: $ secrets.GITHUB_TOKEN 
        filters: .github/change_filters.yml
        base: $ github.ref 
  lint-testing:
    name: Code Formatting Tests
    runs-on: ubuntu-latest
    steps:
    - name: Checkout pull request HEAD commit instead of merge commit
      uses: actions/checkout@v2
      if: github.event_name == pull_request
      with:
        ref: $ github.event.pull_request.head.sha 

    - name: Checkout git repository
      uses: actions/checkout@v2
      if: github.event_name != pull_request

    - name: Set up Python 3.7
      uses: actions/setup-python@v1
      with:
        python-version: 3.7
    - name: Install dependencies
      run: |
        python -m pip install --upgrade "pip<20"
        pip install -r requirements-dev.txt
    - name: Code Formatting Tests
      run: |
        echo "------------------------------------"
        echo "/usr/bin/git log -1 --format=%H"
        /usr/bin/git log -1 --format=%H
        echo "------------------------------------"
        make lint
  type-testing:
    name: Type Tests
    runs-on: ubuntu-latest
    steps:
    - name: Checkout pull request HEAD commit instead of merge commit
      uses: actions/checkout@v2
      if: github.event_name == pull_request
      with:
        ref: $ github.event.pull_request.head.sha 

    - name: Checkout git repository
      uses: actions/checkout@v2
      if: github.event_name != pull_request

    - name: Set up Python 3.7
      uses: actions/setup-python@v1
      with:
        python-version: 3.7

    - name: Install dependencies
      run: |
        python -m pip install --upgrade "pip<20"
        pip install -r requirements-dev.txt
    - name: Type Checking
      run: |
        pip list
        make types
  action-unit-tests:
    needs:
      - lint-testing
      - type-testing
    name: Custom Action Unit Tests
    runs-on: ubuntu-latest

    steps:
    - name: Checkout pull request HEAD commit instead of merge commit
      uses: actions/checkout@v2
      if: github.event_name == pull_request
      with:
        ref: $ github.event.pull_request.head.sha 

    - name: Checkout git repository
      uses: actions/checkout@v2
      if: github.event_name != pull_request

    - name: Set up Python 3.7
      uses: actions/setup-python@v1
      with:
        python-version: 3.7

    - name: Install dependencies
      run: |
        make install-dev
    - name: Unit Tests
      run: |
        make test-actions
  data-validation:
    name: Data Validation
    runs-on: ubuntu-latest

    steps:
    - name: Checkout pull request HEAD commit instead of merge commit
      uses: actions/checkout@v2
      if: github.event_name == pull_request
      with:
        ref: $ github.event.pull_request.head.sha 

    - name: Checkout git repository
      uses: actions/checkout@v2
      if: github.event_name != pull_request

    - name: Set up Python 3.7
      uses: actions/setup-python@v1
      with:
        python-version: 3.7

    - name: Install dependencies
      run: |
        python -m pip install --upgrade "pip<20"
        pip install -r requirements-dev.txt
    - name: Rasa Data Validation
      run: |
        rasa data validate --debug
  training-testing:
    name: Test Model
    runs-on: ubuntu-latest
    needs:
    - data-validation
    - check_changed_files
    if: $ needs.check_changed_files.outputs.training == true 

    steps:
    - name: Cancel Previous Runs
      uses: styfle/cancel-workflow-action@0.8.0
      with:
        access_token: $ github.token 

    - name: Checkout pull request HEAD commit instead of merge commit
      uses: actions/checkout@v2
      if: github.event_name == pull_request
      with:
        ref: $ github.event.pull_request.head.sha 

    - name: Checkout git repository
      uses: actions/checkout@v2
      if: github.event_name != pull_request

    - name: Set up Python 3.7
      uses: actions/setup-python@v1
      with:
        python-version: 3.7

    - name: Install dependencies
      run: |
          python -m pip install --upgrade "pip<20"
          pip install -r requirements-dev.txt
          rasa --version
    - name: Cross-validate NLU model
      id: cvnlu
      if: contains( github.event.pull_request.labels.*.name, nlu_testing_required )
      run: |
          rasa --version
          rasa test nlu -f 3 --cross-validation --config config_nlu_testing.yml
          python .github/workflows/format_results.py
    - name: post cross-val results to PR
      if: steps.cvnlu.outcome == success
      uses: amn41/comment-on-pr@comment-file-contents
      continue-on-error: true
      with:
        msg: results.md

    - name: Train Model
      run: |
        rasa --version
        rasa train
    - name: Test End 2 End Stories
      if: $ needs.check_changed_files.outputs.core == true 
      run: |
        rasa --version
        rasa test core --stories tests/test_conversations.yml --fail-on-prediction-errors
    - name: Wait for the conclusion of all other workflow runs
      # upload model from PR
      if: github.event_name == pull_request
      id: check-runs-conclusion
      env:
        WAIT_INTERVAL_SECS: 10
      timeout-minutes: 20
      run: |
        while true; do
          # Get a list of checks information, excluding training-testing and build-images
          CHECKS_LIST=$(gh api /repos/$ github.repository /commits/$ github.event.pull_request.head.sha /check-runs --jq .check_runs.[] | select(.name != "Test Model" and .name != "Build Action Server Image"))
          # Get the status and conclusion of echo jobs
          STATUS_LIST=$(echo $CHECKS_LIST | jq -r .status)
          CONCLUSION_LIST=$(echo $CHECKS_LIST | jq -r .conclusion)
          # Make sure all other check runs are completed
          if [[ "$(echo $STATUS_LIST | tr   \\n | sort | uniq)" == "completed" ]]; then
            # Check the conclusion of all other check runs
            # Fail the step if there is any failture
            if [[ "$(echo CONCLUSION_LIST | tr   \\n | sort | uniq)" =~ "failure" ]]; then
              echo "::error:: Some check runs failed. Skip uploading model."
              exit 1
            else
              echo "All other check runs are successed."
              echo "::set-output name=upload-model::true"
              exit 0
            fi
          fi
          sleep $WAIT_INTERVAL_SECS
          echo "Wait for $WAIT_INTERVAL_SECS seconds..."
        done
    - name: Set model name from Rasa version
      if: |
        github.event_name == pull_request &&
        steps.check-runs-conclusion.outputs.upload-model == true
      run: |
          python -c "import rasa; open(rasaversion.txt,w+).write(rasa.__version__)"
          rasa_version=`cat rasaversion.txt`
          model_path=`ls models/*.tar.gz | head -n 1`
          model_timestamp=$(basename "$model_path" .tar.gz)
          model_name="$model_timestamp"_rasa"$rasa_version"
          renamed_model_path=models/"$model_name".tar.gz
          mv $model_path $renamed_model_path
          echo "MODEL_NAME=$model_name" >> $GITHUB_ENV
          echo "MODEL_PATH=$renamed_model_path" >> $GITHUB_ENV
    - uses: google-github-actions/setup-gcloud@master
      if: |
        (github.event_name == pull_request &&
        contains( github.event.pull_request.labels.*.name, upload_model )) ||
        steps.check-runs-conclusion.outputs.upload-model == true
      name: Authenticate with gcloud 
Rasa 3.x 学习系列-Rasa 3.1+ ElasticSearch 7.15.0 对话机器人实战八 Elasticsearch 可视化及SpacyNLP安装部署


                

Elasticsearch 可视化工具
ElasticHD 下载
https://github.com/qax-os/ElasticHD/releases
ElasticHD 启动
D:\\rasa_book_project>ElasticHD -p 127.0.0.1:9800
To view elasticHD console open http://127.0.0.1:9800 in browser
ElasticHD 运行效果

Rasa
SpacyNLP 安装部署
(Latest_Version_Rasa) D:\\rasa_book_project\\chapter04_Rasa_Search_Movie_Book>rasa train
E:\\Users\\duanzhihua\\Anaconda3\\envs\\Latest_Version_Rasa\\lib\\site-packages\\slack\\deprecation.py:14: UserWarning: slack package is deprecated. Please use s
lack_sdk.web/webhook/rtm package instead. For more info, go to https://slack.dev/python-slack-sdk/v3-migration/
  warnings.warn(message)
2023-02-02 16:06:09 WARNING  rasa.shared.core.domain  - You are using an experiential feature: Action action_query_knowledge_base!
C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\shared\\utils\\io.py:99: UserWarning: Found inconsistent entity synonyms while read
ing markdown, overwriting something->book with something->movie during merge.
2023-02-02 16:06:10 WARNING  rasa.shared.core.domain  - You are using an experiential feature: Action action_query_knowledge_base!
2023-02-02 16:06:17 WARNING  rasa.shared.core.domain  - You are using an experiential feature: Action action_query_knowledge_base!
2023-02-02 16:06:17 WARNING  rasa.shared.core.domain  - You are using an experiential feature: Action action_query_knowledge_base!
2023-02-02 16:06:17 WARNING  rasa.shared.core.domain  - You are using an experiential feature: Action action_query_knowledge_base!
2023-02-02 16:06:18 INFO     rasa.nlu.utils.spacy_utils  - Trying to load SpaCy model with name en_core_web_md.
Traceback (most recent call last):
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\nlu\\utils\\spacy_utils.py", line 93, in load_model
    language = spacy.load(spacy_model_name, disable=["parser"])
  File "E:\\Users\\duanzhihua\\Anaconda3\\envs\\Latest_Version_Rasa\\lib\\site-packages\\spacy\\__init__.py", line 54, in load
    return util.load_model(
  File "E:\\Users\\duanzhihua\\Anaconda3\\envs\\Latest_Version_Rasa\\lib\\site-packages\\spacy\\util.py", line 439, in load_model
    raise IOError(Errors.E050.format(name=name))
OSError: [E050] Cant find model en_core_web_md. It doesnt seem to be a Python package or a valid path to a data directory.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\engine\\graph.py", line 390, in _load_component
    self._component: GraphComponent = constructor(  # type: ignore[no-redef]
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\nlu\\utils\\spacy_utils.py", line 121, in create
    model = cls.load_model(spacy_model_name)
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\nlu\\utils\\spacy_utils.py", line 96, in load_model
    raise InvalidModelError(
rasa.nlu.model.InvalidModelError: Please confirm that en_core_web_md is an available spaCy model. You need to download one upfront. For example:        
python -m spacy download en_core_web_md
More informaton can be found on https://rasa.com/docs/rasa/components#spacynlp

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "E:\\Users\\duanzhihua\\Anaconda3\\envs\\Latest_Version_Rasa\\lib\\runpy.py", line 194, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "E:\\Users\\duanzhihua\\Anaconda3\\envs\\Latest_Version_Rasa\\lib\\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "E:\\Users\\duanzhihua\\Anaconda3\\envs\\Latest_Version_Rasa\\Scripts\\rasa.exe\\__main__.py", line 7, in <module>
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\__main__.py", line 121, in main
    cmdline_arguments.func(cmdline_arguments)
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\cli\\train.py", line 59, in <lambda>
    train_parser.set_defaults(func=lambda args: run_training(args, can_exit=True))
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\cli\\train.py", line 91, in run_training
    training_result = train_all(
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\api.py", line 105, in train
    return train(
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\model_training.py", line 160, in train
    return _train_graph(
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\model_training.py", line 227, in _train_graph
    trainer.train(
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\engine\\training\\graph_trainer.py", line 105, in train
    graph_runner.run(inputs=PLACEHOLDER_IMPORTER: importer)
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\engine\\runner\\dask.py", line 101, in run
    dask_result = dask.get(run_graph, run_targets)
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\dask\\local.py", line 553, in get_sync
    return get_async(
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\dask\\local.py", line 496, in get_async
    for key, res_info, failed in queue_get(queue).result():
  File "E:\\Users\\duanzhihua\\Anaconda3\\envs\\Latest_Version_Rasa\\lib\\concurrent\\futures\\_base.py", line 437, in result
    result = pack_exception(e, dumps)
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\dask\\local.py", line 220, in execute_task
    result = _execute_task(task, data)
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\dask\\core.py", line 119, in _execute_task
    return func(*(_execute_task(a, cache) for a in args))
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\engine\\graph.py", line 445, in __call__
    self._load_component(**constructor_kwargs)
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\engine\\graph.py", line 402, in _load_component
    raise GraphComponentException(
rasa.engine.exceptions.GraphComponentException: Error initializing graph component for node provide_SpacyNLP0.
​​https://spacy.io/models​​ 按官网的文档安装python -m spacy download en_core_web_sm
(Latest_Version_Rasa) D:\\rasa_book_project\\chapter04_Rasa_Search_Movie_Book>python -m spacy download en_core_web_sm
2023-02-02 16:16:13.369299: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library cudart64_110.dll; dlerror: 
cudart64_110.dll not found
2023-02-02 16:16:13.369642: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your mac
hine.
2023-02-02 16:16:17.636060: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library nvcuda.dll; dlerror: nvcuda
.dll not found
2023-02-02 16:16:17.636361: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
2023-02-02 16:16:17.647200: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-NSQ5TAO 
2023-02-02 16:16:17.647840: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-NSQ5TAO
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
Collecting en-core-web-sm==3.5.0
  WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by SSLError(SSLEOFError(8, EOF occur
red in violation of protocol (_ssl.c:1131))): /explosion/spacy-models/releases/download/en_core_web_sm-3.5.0/en_core_web_sm-3.5.0-py3-none-any.whl    
  WARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by SSLError(SSLEOFError(8, EOF occur
red in violation of protocol (_ssl.c:1131))): /explosion/spacy-models/releases/download/en_core_web_sm-3.5.0/en_core_web_sm-3.5.0-py3-none-any.whl    
  Downloading https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.5.0/en_core_web_sm-3.5.0-py3-none-any.whl (12.8 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.8/12.8 MB 1.2 MB/s eta 0:00:00
Requirement already satisfied: spacy<3.6.0,>=3.5.0 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from en-core-web-sm==3.5
.0) (3.5.0)
Requirement already satisfied: wasabi<1.2.0,>=0.9.1 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0,>=3.5.
0->en-core-web-sm==3.5.0) (0.10.1)
Requirement already satisfied: numpy>=1.15.0 in c:\\users\\duanzhihua\\appdata\\roaming\\python\\python38\\site-packages (from spacy<3.6.0,>=3.5.0->en-core-web
-sm==3.5.0) (1.19.5)
Requirement already satisfied: spacy-loggers<2.0.0,>=1.0.0 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0
,>=3.5.0->en-core-web-sm==3.5.0) (1.0.3)
Requirement already satisfied: preshed<3.1.0,>=3.0.2 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0,>=3.5
.0->en-core-web-sm==3.5.0) (3.0.7)
Requirement already satisfied: typer<0.8.0,>=0.3.0 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0,>=3.5.0
->en-core-web-sm==3.5.0) (0.4.2)
Requirement already satisfied: spacy-legacy<3.1.0,>=3.0.11 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0
,>=3.5.0->en-core-web-sm==3.5.0) (3.0.12)
Requirement already satisfied: murmurhash<1.1.0,>=0.28.0 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0,>
=3.5.0->en-core-web-sm==3.5.0) (1.0.8)
Requirement already satisfied: cymem<2.1.0,>=2.0.2 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0,>=3.5.0
->en-core-web-sm==3.5.0) (2.0.6)
Requirement already satisfied: pydantic!=1.8,!=1.8.1,<1.11.0,>=1.7.4 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from s
pacy<3.6.0,>=3.5.0->en-core-web-sm==3.5.0) (1.9.2)
Requirement already satisfied: catalogue<2.1.0,>=2.0.6 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0,>=3
.5.0->en-core-web-sm==3.5.0) (2.0.8)
Requirement already satisfied: setuptools in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0,>=3.5.0->en-core
-web-sm==3.5.0) (65.6.3)
Requirement already satisfied: smart-open<7.0.0,>=5.2.1 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0,>=
3.5.0->en-core-web-sm==3.5.0) (5.2.1)
Requirement already satisfied: srsly<3.0.0,>=2.4.3 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0,>=3.5.0
->en-core-web-sm==3.5.0) (2.4.4)
Requirement already satisfied: jinja2 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0,>=3.5.0->en-core-web
-sm==3.5.0) (3.1.2)
Requirement already satisfied: packaging>=20.0 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0,>=3.5.0->en
-core-web-sm==3.5.0) (20.9)
Requirement already satisfied: pathy>=0.10.0 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0,>=3.5.0->en-c
ore-web-sm==3.5.0) (0.10.1)
Requirement already satisfied: thinc<8.2.0,>=8.1.0 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0,>=3.5.0
->en-core-web-sm==3.5.0) (8.1.1)
Requirement already satisfied: tqdm<5.0.0,>=4.38.0 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0,>=3.5.0
->en-core-web-sm==3.5.0) (4.64.1)
Requirement already satisfied: requests<3.0.0,>=2.13.0 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0,>=3
.5.0->en-core-web-sm==3.5.0) (2.28.1)
Requirement already satisfied: langcodes<4.0.0,>=3.2.0 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.6.0,>=3
.5.0->en-core-web-sm==3.5.0) (3.3.0)
Requirement already satisfied: pyparsing>=2.0.2 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from packaging>=20.0->spacy
<3.6.0,>=3.5.0->en-core-web-sm==3.5.0) (3.0.9)
Requirement already satisfied: typing-extensions>=3.7.4.3 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from pydantic!=1.
8,!=1.8.1,<1.11.0,>=1.7.4->spacy<3.6.0,>=3.5.0->en-core-web-sm==3.5.0) (3.7.4.3)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from requests<3.0.0,>=
2.13.0->spacy<3.6.0,>=3.5.0->en-core-web-sm==3.5.0) (1.26.12)
Requirement already satisfied: idna<4,>=2.5 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from requests<3.0.0,>=2.13.0->s
pacy<3.6.0,>=3.5.0->en-core-web-sm==3.5.0) (3.4)
Requirement already satisfied: charset-normalizer<3,>=2 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from requests<3.0.0
,>=2.13.0->spacy<3.6.0,>=3.5.0->en-core-web-sm==3.5.0) (2.1.1)
Requirement already satisfied: certifi>=2017.4.17 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from requests<3.0.0,>=2.1
3.0->spacy<3.6.0,>=3.5.0->en-core-web-sm==3.5.0) (2022.12.7)
Requirement already satisfied: blis<0.10.0,>=0.7.8 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from thinc<8.2.0,>=8.1.0
->spacy<3.6.0,>=3.5.0->en-core-web-sm==3.5.0) (0.9.1)
Requirement already satisfied: confection<1.0.0,>=0.0.1 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from thinc<8.2.0,>=
8.1.0->spacy<3.6.0,>=3.5.0->en-core-web-sm==3.5.0) (0.0.1)
Requirement already satisfied: colorama in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from tqdm<5.0.0,>=4.38.0->spacy<3.6
.0,>=3.5.0->en-core-web-sm==3.5.0) (0.4.5)
Requirement already satisfied: click<9.0.0,>=7.1.1 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from typer<0.8.0,>=0.3.0
->spacy<3.6.0,>=3.5.0->en-core-web-sm==3.5.0) (8.1.3)
Requirement already satisfied: MarkupSafe>=2.0 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from jinja2->spacy<3.6.0,>=3
.5.0->en-core-web-sm==3.5.0) (2.1.1)
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
Installing collected packages: en-core-web-sm
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
Successfully installed en-core-web-sm-3.5.0
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
✔ Download and installation successful
You can now load the package via spacy.load(en_core_web_sm)
测试
(Latest_Version_Rasa) D:\\rasa_book_project\\chapter04_Rasa_Search_Movie_Book>python
Python 3.8.16 (default, Jan 17 2023, 22:25:28) [MSC v.1916 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import spacy
2023-02-02 16:21:36.050535: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library cudart64_110.dll; dlerror: 
cudart64_110.dll not found
2023-02-02 16:21:36.050809: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your mac
hine.
2023-02-02 16:21:40.853039: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library nvcuda.dll; dlerror: nvcuda
.dll not found
2023-02-02 16:21:40.853471: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
2023-02-02 16:21:40.866010: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-NSQ5TAO 
2023-02-02 16:21:40.866733: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-NSQ5TAO
>>> nlp = spacy.load("en_core_web_sm")
>>>
rasa训练仍报错
2023-02-02 16:24:12 WARNING  rasa.shared.core.domain  - You are using an experiential feature: Action action_query_knowledge_base!
2023-02-02 16:24:12 INFO     rasa.nlu.utils.spacy_utils  - Trying to load SpaCy model with name en_core_web_md.
Traceback (most recent call last):
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\nlu\\utils\\spacy_utils.py", line 93, in load_model
    language = spacy.load(spacy_model_name, disable=["parser"])
  File "E:\\Users\\duanzhihua\\Anaconda3\\envs\\Latest_Version_Rasa\\lib\\site-packages\\spacy\\__init__.py", line 54, in load
    return util.load_model(
  File "E:\\Users\\duanzhihua\\Anaconda3\\envs\\Latest_Version_Rasa\\lib\\site-packages\\spacy\\util.py", line 439, in load_model
    raise IOError(Errors.E050.format(name=name))
OSError: [E050] Cant find model en_core_web_md. It doesnt seem to be a Python package or a valid path to a data directory.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\engine\\graph.py", line 390, in _load_component
    self._component: GraphComponent = constructor(  # type: ignore[no-redef]
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\nlu\\utils\\spacy_utils.py", line 121, in create
    model = cls.load_model(spacy_model_name)
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\nlu\\utils\\spacy_utils.py", line 96, in load_model
    raise InvalidModelError(
rasa.nlu.model.InvalidModelError: Please confirm that en_core_web_md is an available spaCy model. You need to download one upfront. For example:        
python -m spacy download en_core_web_md
More informaton can be found on https://rasa.com/docs/rasa/components#spacynlp

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "E:\\Users\\duanzhihua\\Anaconda3\\envs\\Latest_Version_Rasa\\lib\\runpy.py", line 194, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "E:\\Users\\duanzhihua\\Anaconda3\\envs\\Latest_Version_Rasa\\lib\\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "E:\\Users\\duanzhihua\\Anaconda3\\envs\\Latest_Version_Rasa\\Scripts\\rasa.exe\\__main__.py", line 7, in <module>
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\__main__.py", line 121, in main
    cmdline_arguments.func(cmdline_arguments)
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\cli\\train.py", line 59, in <lambda>
    train_parser.set_defaults(func=lambda args: run_training(args, can_exit=True))
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\cli\\train.py", line 91, in run_training
    training_result = train_all(
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\api.py", line 105, in train
    return train(
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\model_training.py", line 160, in train
    return _train_graph(
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\model_training.py", line 227, in _train_graph
    trainer.train(
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\engine\\training\\graph_trainer.py", line 105, in train
    graph_runner.run(inputs=PLACEHOLDER_IMPORTER: importer)
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\engine\\runner\\dask.py", line 101, in run
    dask_result = dask.get(run_graph, run_targets)
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\dask\\local.py", line 553, in get_sync
    return get_async(
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\dask\\local.py", line 496, in get_async
    for key, res_info, failed in queue_get(queue).result():
  File "E:\\Users\\duanzhihua\\Anaconda3\\envs\\Latest_Version_Rasa\\lib\\concurrent\\futures\\_base.py", line 437, in result
    return self.__get_result()
  File "E:\\Users\\duanzhihua\\Anaconda3\\envs\\Latest_Version_Rasa\\lib\\concurrent\\futures\\_base.py", line 389, in __get_result
    raise self._exception
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\dask\\local.py", line 538, in submit
    fut.set_result(fn(*args, **kwargs))
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\dask\\local.py", line 234, in batch_execute_tasks
    return [execute_task(*a) for a in it]
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\dask\\local.py", line 234, in <listcomp>
    return [execute_task(*a) for a in it]
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\dask\\local.py", line 225, in execute_task
    result = pack_exception(e, dumps)
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\dask\\local.py", line 220, in execute_task
    result = _execute_task(task, data)
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\dask\\core.py", line 119, in _execute_task
    return func(*(_execute_task(a, cache) for a in args))
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\engine\\graph.py", line 445, in __call__
    self._load_component(**constructor_kwargs)
  File "C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\engine\\graph.py", line 402, in _load_component
    raise GraphComponentException(
rasa.engine.exceptions.GraphComponentException: Error initializing graph component for node provide_SpacyNLP0
使用pip install https://github.com/explosion/spacy-models/releases/download/en_c
 ore_web_sm-3.0.0/en_core_web_sm-3.0.0.tar.gz 安装
(Latest_Version_Rasa) D:\\rasa_book_project\\chapter04_Rasa_Search_Movie_Book>pip install https://github.com/explosion/spacy-models/releases/download/en_c
ore_web_sm-3.0.0/en_core_web_sm-3.0.0.tar.gz
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
Collecting https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.0.0/en_core_web_sm-3.0.0.tar.gz
  Downloading https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.0.0/en_core_web_sm-3.0.0.tar.gz (13.7 MB)
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  Preparing metadata (setup.py) ... done
Collecting spacy<3.1.0,>=3.0.0
  Downloading spacy-3.0.9-cp38-cp38-win_amd64.whl (11.5 MB)
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-web-sm==3.0.0) (65.6.3)
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=3.0.0->en-core-web-sm==3.0.0) (1.0.8)
Requirement already satisfied: pathy>=0.3.5 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.1.0,>=3.0.0->en-co
re-web-sm==3.0.0) (0.10.1)
Requirement already satisfied: srsly<3.0.0,>=2.4.1 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.1.0,>=3.0.0
->en-core-web-sm==3.0.0) (2.4.4)
Requirement already satisfied: cymem<2.1.0,>=2.0.2 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.1.0,>=3.0.0
->en-core-web-sm==3.0.0) (2.0.6)
Collecting typer<0.4.0,>=0.3.0
  Downloading typer-0.3.2-py3-none-any.whl (21 kB)
Requirement already satisfied: catalogue<2.1.0,>=2.0.4 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.1.0,>=3
.0.0->en-core-web-sm==3.0.0) (2.0.8)
Collecting thinc<8.1.0,>=8.0.3
  Downloading thinc-8.0.17-cp38-cp38-win_amd64.whl (1.1 MB)
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.0.0->en-core-web-sm==3.0.0) (2.28.1)
Collecting pydantic!=1.8,!=1.8.1,<1.9.0,>=1.7.4
  Downloading pydantic-1.8.2-cp38-cp38-win_amd64.whl (2.0 MB)
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.0->en-core-web-sm==3.0.0) (3.0.7)
Requirement already satisfied: packaging>=20.0 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.1.0,>=3.0.0->en
-core-web-sm==3.0.0) (20.9)
Collecting blis<0.8.0,>=0.4.0
  Downloading blis-0.7.9-cp38-cp38-win_amd64.whl (7.0 MB)
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->en-core-web-sm==3.0.0) (4.64.1)
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-sm==3.0.0) (3.1.2)
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0->en-core-web-sm==3.0.0) (0.10.1)
Requirement already satisfied: spacy-legacy<3.1.0,>=3.0.5 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.1.0,
>=3.0.0->en-core-web-sm==3.0.0) (3.0.12)
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3.0.0->en-core-web-sm==3.0.0) (5.2.1)
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<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (3.0.9)
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8,!=1.8.1,<1.9.0,>=1.7.4->spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (3.7.4.3)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from requests<3.0.0,>=
2.13.0->spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (1.26.12)
Requirement already satisfied: certifi>=2017.4.17 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from requests<3.0.0,>=2.1
3.0->spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (2022.12.7)
Requirement already satisfied: charset-normalizer<3,>=2 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from requests<3.0.0
,>=2.13.0->spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (2.1.1)
Requirement already satisfied: idna<4,>=2.5 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from requests<3.0.0,>=2.13.0->s
pacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (3.4)
Requirement already satisfied: colorama in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from tqdm<5.0.0,>=4.38.0->spacy<3.1
.0,>=3.0.0->en-core-web-sm==3.0.0) (0.4.5)
Collecting click<7.2.0,>=7.1.1
  Downloading click-7.1.2-py2.py3-none-any.whl (82 kB)
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.0.0->en-core-web-sm==3.0.0) (2.1.1)
Building wheels for collected packages: en-core-web-sm
  Building wheel for en-core-web-sm (setup.py) ... done
  Created wheel for en-core-web-sm: filename=en_core_web_sm-3.0.0-py3-none-any.whl size=13704307 sha256=66c675395fce07125d03509e4c5167bc4bef7e5c5afcfb51
77c639ac60bc7df5
  Stored in directory: c:\\users\\duanzhihua\\appdata\\local\\pip\\cache\\wheels\\8b\\21\\c1\\257748af7399fdaf1b2afc39c92fb839c436f42e67b656ff7e
Successfully built en-core-web-sm
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
Installing collected packages: pydantic, click, blis, typer, thinc, spacy, en-core-web-sm
  Attempting uninstall: pydantic
    WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
    Found existing installation: pydantic 1.9.2
    Uninstalling pydantic-1.9.2:
      Successfully uninstalled pydantic-1.9.2
  Attempting uninstall: click
    WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
    Found existing installation: click 8.1.3
    Uninstalling click-8.1.3:
      Successfully uninstalled click-8.1.3
  Attempting uninstall: blis
    WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
    Found existing installation: blis 0.9.1
    Uninstalling blis-0.9.1:
      Successfully uninstalled blis-0.9.1
  Attempting uninstall: typer
    WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
    Found existing installation: typer 0.4.2
    Uninstalling typer-0.4.2:
      Successfully uninstalled typer-0.4.2
  Attempting uninstall: thinc
    WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
    Found existing installation: thinc 8.1.1
    Uninstalling thinc-8.1.1:
      Successfully uninstalled thinc-8.1.1
  Attempting uninstall: spacy
    WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
    Found existing installation: spacy 3.5.0
    Uninstalling spacy-3.5.0:
      Successfully uninstalled spacy-3.5.0
  Attempting uninstall: en-core-web-sm
    WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
    Found existing installation: en-core-web-sm 3.5.0
    Uninstalling en-core-web-sm-3.5.0:
      Successfully uninstalled en-core-web-sm-3.5.0
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
ERROR: pips dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following
 dependency conflicts.
flask 2.2.2 requires click>=8.0, but you have click 7.1.2 which is incompatible.
Successfully installed blis-0.7.9 click-7.1.2 en-core-web-sm-3.0.0 pydantic-1.8.2 spacy-3.0.9 thinc-8.0.17 typer-0.3.2
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
仍报错：
 改用pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_md-3.0.0/en_core_web_md-3.0.0.tar.gz 安装
(Latest_Version_Rasa) D:\\rasa_book_project\\chapter04_Rasa_Search_Movie_Book>pip install https://github.com/explosion/spacy-models/releases/download/en_c
ore_web_md-3.0.0/en_core_web_md-3.0.0.tar.gz
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
Collecting https://github.com/explosion/spacy-models/releases/download/en_core_web_md-3.0.0/en_core_web_md-3.0.0.tar.gz
  Downloading https://github.com/explosion/spacy-models/releases/download/en_core_web_md-3.0.0/en_core_web_md-3.0.0.tar.gz (47.0 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.0/47.0 MB 345.7 kB/s eta 0:00:00
  Preparing metadata (setup.py) ... done
Requirement already satisfied: spacy<3.1.0,>=3.0.0 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from en-core-web-md==3.0
.0) (3.0.9)
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3.0.0->en-core-web-md==3.0.0) (5.2.1)
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>=3.0.0->en-core-web-md==3.0.0) (3.0.12)
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->en-core-web-md==3.0.0) (8.0.17)
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.0.0->en-core-web-md==3.0.0) (2.28.1)
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->en-core-web-md==3.0.0) (4.64.1)
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=3.0.0->en-core-web-md==3.0.0) (1.0.8)
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acy<3.1.0,>=3.0.0->en-core-web-md==3.0.0) (1.8.2)
Requirement already satisfied: blis<0.8.0,>=0.4.0 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.1.0,>=3.0.0-
>en-core-web-md==3.0.0) (0.7.9)
Requirement already satisfied: pathy>=0.3.5 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.1.0,>=3.0.0->en-co
re-web-md==3.0.0) (0.10.1)
Requirement already satisfied: preshed<3.1.0,>=3.0.2 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.1.0,>=3.0
.0->en-core-web-md==3.0.0) (3.0.7)
Requirement already satisfied: cymem<2.1.0,>=2.0.2 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.1.0,>=3.0.0
->en-core-web-md==3.0.0) (2.0.6)
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Requirement already satisfied: packaging>=20.0 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.1.0,>=3.0.0->en
-core-web-md==3.0.0) (20.9)
Requirement already satisfied: typer<0.4.0,>=0.3.0 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.1.0,>=3.0.0
->en-core-web-md==3.0.0) (0.3.2)
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.0.0->en-core-web-md==3.0.0) (2.0.8)
Requirement already satisfied: srsly<3.0.0,>=2.4.1 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.1.0,>=3.0.0
->en-core-web-md==3.0.0) (2.4.4)
Requirement already satisfied: numpy>=1.15.0 in c:\\users\\duanzhihua\\appdata\\roaming\\python\\python38\\site-packages (from spacy<3.1.0,>=3.0.0->en-core-web
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Requirement already satisfied: wasabi<1.1.0,>=0.8.1 in e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages (from spacy<3.1.0,>=3.0.
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Building wheels for collected packages: en-core-web-md
  Building wheel for en-core-web-md (setup.py) ... done
  Created wheel for en-core-web-md: filename=en_core_web_md-3.0.0-py3-none-any.whl size=47053311 sha256=639103f34db0e345682928899364ab49956495c0e7440937
58973e4821f84009
  Stored in directory: c:\\users\\duanzhihua\\appdata\\local\\pip\\cache\\wheels\\4f\\95\\56\\2ef26c6817cdcaebbee016b4f6a3c68af10bb74b20c54f976c
Successfully built en-core-web-md
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
Installing collected packages: en-core-web-md
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
Successfully installed en-core-web-md-3.0.0
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
WARNING: Ignoring invalid distribution -asa (e:\\users\\duanzhihua\\anaconda3\\envs\\latest_version_rasa\\lib\\site-packages)
rasa训练成功：
(Latest_Version_Rasa) D:\\rasa_book_project\\chapter04_Rasa_Search_Movie_Book>rasa train
E:\\Users\\duanzhihua\\Anaconda3\\envs\\Latest_Version_Rasa\\lib\\site-packages\\slack\\deprecation.py:14: UserWarning: slack package is deprecated. Please use s
lack_sdk.web/webhook/rtm package instead. For more info, go to https://slack.dev/python-slack-sdk/v3-migration/
  warnings.warn(message)
2023-02-02 17:05:41 WARNING  rasa.shared.core.domain  - You are using an experiential feature: Action action_query_knowledge_base!
C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\shared\\utils\\io.py:99: UserWarning: Found inconsistent entity synonyms while read
ing markdown, overwriting something->book with something->movie during merge.
2023-02-02 17:05:42 WARNING  rasa.shared.core.domain  - You are using an experiential feature: Action action_query_knowledge_base!
2023-02-02 17:05:47 WARNING  rasa.shared.core.domain  - You are using an experiential feature: Action action_query_knowledge_base!
2023-02-02 17:05:47 WARNING  rasa.shared.core.domain  - You are using an experiential feature: Action action_query_knowledge_base!
2023-02-02 17:05:47 WARNING  rasa.shared.core.domain  - You are using an experiential feature: Action action_query_knowledge_base!
2023-02-02 17:05:48 INFO     rasa.nlu.utils.spacy_utils  - Trying to load SpaCy model with name en_core_web_md.
2023-02-02 17:05:49 INFO     rasa.nlu.utils.spacy_utils  - Trying to load SpaCy model with name en_core_web_md.
2023-02-02 17:05:51 INFO     rasa.engine.training.hooks  - Starting to train component RegexFeaturizer.
2023-02-02 17:05:51 INFO     rasa.engine.training.hooks  - Finished training component RegexFeaturizer.
2023-02-02 17:05:51 INFO     rasa.engine.training.hooks  - Starting to train component LexicalSyntacticFeaturizer.
2023-02-02 17:05:51 INFO     rasa.engine.training.hooks  - Finished training component LexicalSyntacticFeaturizer.
2023-02-02 17:05:51 INFO     rasa.engine.training.hooks  - Starting to train component CountVectorsFeaturizer.
2023-02-02 17:05:51 INFO     rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer  - 162 vocabulary items were created for text attribute.
2023-02-02 17:05:51 INFO     rasa.engine.training.hooks  - Finished training component CountVectorsFeaturizer.
2023-02-02 17:05:52 INFO     rasa.engine.training.hooks  - Starting to train component CountVectorsFeaturizer.
2023-02-02 17:05:52 INFO     rasa.nlu.featurizers.sparse_featurizer.count_vectors_featurizer  - 1528 vocabulary items were created for text attribute.
2023-02-02 17:05:52 INFO     rasa.engine.training.hooks  - Finished training component CountVectorsFeaturizer.
2023-02-02 17:05:52 INFO     rasa.engine.training.hooks  - Starting to train component DIETClassifier.
C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\utils\\train_utils.py:527: UserWarning: constrain_similarities is set to `False`. 
It is recommended to set it to `True` when using cross-entropy loss.
  rasa.shared.utils.io.raise_warning(
Epochs: 100%|███████████████████████████████████████████████████████████| 100/100 [01:27<00:00,  1.14it/s, t_loss=2.4, i_acc=1, e_f1=0.952, r_f1=0.795]
2023-02-02 17:07:21 INFO     rasa.engine.training.hooks  - Finished training component DIETClassifier.
2023-02-02 17:07:21 INFO     rasa.engine.training.hooks  - Starting to train component EntitySynonymMapper.
C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\shared\\utils\\io.py:99: UserWarning: Found conflicting synonym definitions for so
mething. Overwriting target movie with book. Check your training data and remove conflicting synonym definitions to prevent this from happening.   
  More info at https://rasa.com/docs/rasa/training-data-format#synonyms
C:\\Users\\duanzhihua\\AppData\\Roaming\\Python\\Python38\\site-packages\\rasa\\shared\\utils\\io.py:99: UserWarning: Found conflicting synonym definitions for so
mething. Overwriting target book with movie. Check your training data and remove conflicting synonym definitions to prevent this from happening.   
  More info at https://rasa.com/docs/rasa/training-data-format#synonyms
2023-02-02 17:07:21 INFO     rasa.engine.training.hooks  - Finished training component EntitySynonymMapper.
2023-02-02 17:07:22 INFO     rasa.engine.training.hooks  - Starting to train component ResponseSelector.
2023-02-02 17:07:22 INFO     rasa.nlu.selectors.response_selector  - Retrieval intent parameter was left to its default value. This response selector wi
ll be trained on training examples combining all retrieval intents.
2023-02-02 17:07:22 INFO     rasa.engine.training.hooks  - Finished training component ResponseSelector.
Processed story blocks: 100%|█████████████████████████████████████████████████████████████████████████████| 7/7 [00:00<00:00, 987.86it/s, # trackers=1]
Processed story blocks: 100%|█████████████████████████████████████████████████████████████████████████████| 7/7 [00:00<00:00, 214.46it/s, # trackers=7] 
Processed story blocks: 100%|█████████████████████████████████████████████████████████████████████████████| 7/7 [00:00<00:00, 30.25it/s, # trackers=50]
Processed story blocks: 100%|█████████████████████████████████████████████████████████████████████████████| 7/7 [00:00<00:00, 24.20it/s, # trackers=50]
Processed rules: 100%|███████████████████████████████████████████████████████████████████████████████████| 5/5 [00:00<00:00, 1404.56it/s, # trackers=1]
2023-02-02 17:07:24 INFO     rasa.engine.training.hooks  - Starting to train component RulePolicy.
Processed trackers: 100%|█████████████████████████████████████████████████████████████████████████████████| 5/5 [00:00<00:00, 1252.33it/s, # action=11]
Processed actions: 11it [00:00, 4509.56it/s, # examples=10]
Processed trackers: 100%|██████████████████████████████████████████████████████████████████████████████████| 7/7 [00:00<00:00, 874.65it/s, # action=27] 
Processed trackers: 100%|██████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [00:00<00:00, 1671.44it/s] 
Processed trackers: 100%|████████████████████████████████████████████████████████████████████████████████████████████| 12/12 [00:00<00:00, 1094.38it/s] 
2023-02-02 17:07:25 INFO     rasa.engine.training.hooks  - Finished training component RulePolicy.
Your Rasa model is trained and saved at models\\20230202-170546-blistering-canvas.tar.gz.

(Latest_Version_Rasa) D:\\rasa_book_project\\chapter04_Rasa_Search_Movie_Book>
​​javascript:void(0)​​
Rasa 智能对话机器人系列博客
  • ​​Rasa 3.x 学习系列-Rasa 3.1+ ElasticSearch 8.2.0 对话机器人实战 一​​
  • ​​Rasa 3.x 学习系列-Rasa 3.1+ ElasticSearch 8.2.0 对话机器人实战二​​
  • ​​Rasa 3.x 学习系列-Rasa 3.1+ ElasticSearch 8.2.0 对话机器人实战三​​
  • ​​Rasa 3.x 学习系列-Rasa 3.1+ ElasticSearch 8.2.0 对话机器人实战四​​
  • ​​Rasa 3.x 学习系列-Rasa 3.1+ ElasticSearch 8.2.0 对话机器人实战五​​
  • ​​Rasa 3.x 学习系列-Rasa 3.1+ ElasticSearch 8.2.0 对话机器人实战六​​
  • ​​Rasa 3.x 学习系列-Rasa 3.1+ ElasticSearch 8.2.0 对话机器人实战七​​
                
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