[Example] Add example flow for activate config

.github/workflows/samples_flows_standard_conditional_flow_for_if_else.yml

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+# This code is autogenerated.
+# Code is generated by running custom script: python3 readme.py
+# Any manual changes to this file may cause incorrect behavior.
+# Any manual changes will be overwritten if the code is regenerated.
+
+name: samples_flows_standard_conditional_flow_for_if_else
+on:
+  schedule:
+    - cron: "8 21 * * *" # Every day starting at 5:8 BJT
+  pull_request:
+    branches: [ main ]
+    paths: [ examples/flows/standard/conditional-flow-for-if-else/**, examples/*requirements.txt, .github/workflows/samples_flows_standard_conditional_flow_for_if_else.yml ]
+  workflow_dispatch:
+
+jobs:
+  samples_readme_ci:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+      - name: Setup Python 3.9 environment
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.9"
+      - name: Generate config.json
+        run: echo ${{ secrets.TEST_WORKSPACE_CONFIG_JSON }} > ${{ github.workspace }}/examples/config.json
+      - name: Prepare requirements
+        working-directory: examples
+        run: |
+          if [[ -e requirements.txt ]]; then
+            python -m pip install --upgrade pip
+            pip install -r requirements.txt
+          fi
+      - name: Prepare dev requirements
+        working-directory: examples
+        run: |
+          python -m pip install --upgrade pip
+          pip install -r dev_requirements.txt
+      - name: Refine .env file
+        working-directory: examples/flows/standard/conditional-flow-for-if-else
+        run: |
+          AOAI_API_KEY=${{ secrets.AOAI_API_KEY_TEST }}
+          AOAI_API_ENDPOINT=${{ secrets.AOAI_API_ENDPOINT_TEST }}
+          AOAI_API_ENDPOINT=$(echo ${AOAI_API_ENDPOINT//\//\\/})
+          if [[ -e .env.example ]]; then
+            echo "env replacement"
+            sed -i -e "s/<your_AOAI_key>/$AOAI_API_KEY/g" -e "s/<your_AOAI_endpoint>/$AOAI_API_ENDPOINT/g" .env.example
+            mv .env.example .env
+          fi
+      - name: Create run.yml
+        working-directory: examples/flows/standard/conditional-flow-for-if-else
+        run: |
+          gpt_base=${{ secrets.AOAI_API_ENDPOINT_TEST }}
+          gpt_base=$(echo ${gpt_base//\//\\/})
+          if [[ -e run.yml ]]; then
+            sed -i -e "s/\${azure_open_ai_connection.api_key}/${{ secrets.AOAI_API_KEY_TEST }}/g" -e "s/\${azure_open_ai_connection.api_base}/$gpt_base/g" run.yml
+          fi
+      - name: Azure Login
+        uses: azure/login@v1
+        with:
+          creds: ${{ secrets.AZURE_CREDENTIALS }}
+      - name: Extract Steps examples/flows/standard/conditional-flow-for-if-else/README.md
+        working-directory: ${{ github.workspace }}
+        run: |
+          python scripts/readme/extract_steps_from_readme.py -f examples/flows/standard/conditional-flow-for-if-else/README.md -o examples/flows/standard/conditional-flow-for-if-else
+      - name: Cat script
+        working-directory: examples/flows/standard/conditional-flow-for-if-else
+        run: |
+          cat bash_script.sh
+      - name: Run scripts
+        working-directory: examples/flows/standard/conditional-flow-for-if-else
+        run: |
+          export aoai_api_key=${{secrets.AOAI_API_KEY_TEST }}
+          export aoai_api_endpoint=${{ secrets.AOAI_API_ENDPOINT_TEST }}
+          export test_workspace_sub_id=${{ secrets.TEST_WORKSPACE_SUB_ID }}
+          export test_workspace_rg=${{ secrets.TEST_WORKSPACE_RG }}
+          export test_workspace_name=${{ secrets.TEST_WORKSPACE_NAME }}
+          bash bash_script.sh
+      - name: Pip List for Debug
+        if : ${{ always() }}
+        working-directory: examples/flows/standard/conditional-flow-for-if-else
+        run: |
+          pip list
+      - name: Upload artifact
+        if: ${{ always() }}
+        uses: actions/upload-artifact@v3
+        with:
+          name: artifact
+          path: examples/flows/standard/conditional-flow-for-if-else/bash_script.sh

examples/README.md

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 | [basic](flows/standard/basic/README.md) | [![samples_flows_standard_basic](https://github.com/microsoft/promptflow/actions/workflows/samples_flows_standard_basic.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_flows_standard_basic.yml) |  A basic standard flow using custom python tool that calls Azure OpenAI with connection info stored in environment variables |
 | [basic-with-builtin-llm](flows/standard/basic-with-builtin-llm/README.md) | [![samples_flows_standard_basic_with_builtin_llm](https://github.com/microsoft/promptflow/actions/workflows/samples_flows_standard_basic_with_builtin_llm.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_flows_standard_basic_with_builtin_llm.yml) |  A basic standard flow that calls Azure OpenAI with builtin llm tool |
 | [basic-with-connection](flows/standard/basic-with-connection/README.md) | [![samples_flows_standard_basic_with_connection](https://github.com/microsoft/promptflow/actions/workflows/samples_flows_standard_basic_with_connection.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_flows_standard_basic_with_connection.yml) |  A basic standard flow that using custom python tool calls Azure OpenAI with connection info stored in custom connection |
+| [conditional-flow-for-if-else](flows/standard/conditional-flow-for-if-else/README.md) | [![samples_flows_standard_conditional_flow_for_if_else](https://github.com/microsoft/promptflow/actions/workflows/samples_flows_standard_conditional_flow_for_if_else.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_flows_standard_conditional_flow_for_if_else.yml) |  This example is a conditonal flow for if-else scenario |
 | [customer-intent-extraction](flows/standard/customer-intent-extraction/README.md) | [![samples_flows_standard_customer_intent_extraction](https://github.com/microsoft/promptflow/actions/workflows/samples_flows_standard_customer_intent_extraction.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_flows_standard_customer_intent_extraction.yml) |  This sample is using OpenAI chat model(ChatGPT/GPT4) to identify customer intent from customer's question |
 | [flow-with-additional-includes](flows/standard/flow-with-additional-includes/README.md) | [![samples_flows_standard_flow_with_additional_includes](https://github.com/microsoft/promptflow/actions/workflows/samples_flows_standard_flow_with_additional_includes.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_flows_standard_flow_with_additional_includes.yml) |  User sometimes need to reference some common files or folders, this sample demos how to solve the problem using additional_includes |
 | [flow-with-symlinks](flows/standard/flow-with-symlinks/README.md) | [![samples_flows_standard_flow_with_symlinks](https://github.com/microsoft/promptflow/actions/workflows/samples_flows_standard_flow_with_symlinks.yml/badge.svg?branch=main)](https://github.com/microsoft/promptflow/actions/workflows/samples_flows_standard_flow_with_symlinks.yml) |  User sometimes need to reference some common files or folders, this sample demos how to solve the problem using symlinks |

examples/flows/standard/conditional-flow-for-if-else/README.md

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+# Conditional flow for if-else scenario
+
+This example is a conditonal flow for if-else scenario.
+
+In this flow, it checks if an input query passes content safety check. If it's denied, we'll return a default response; otherwise, we'll call LLM to get a response and then summarize the final results.
+
+:::{admonition} Notice
+The 'content_safety_check' and 'llm_result' node in this flow are dummy nodes that do not actually use the conten safety tool and LLM tool. You can replace them with the real ones. Learn more: [LLM Tool](https://microsoft.github.io/promptflow/reference/tools-reference/llm-tool.html)
+:::
+
+By following this example, you will learn how to create a conditional flow using the `activate config`.
+
+## Prerequisites
+
+Install promptflow sdk and other dependencies:
+```bash
+pip install -r requirements.txt
+```
+
+## Run flow
+
+- Test flow
+```bash
+# test with default input value in flow.dag.yaml
+pf flow test --flow .
+
+# test with flow inputs
+pf flow test --flow . --inputs question="What is Prompt flow?"
+```
+
+- Create run with multiple lines data
+```bash
+pf run create --flow . --data ./data.jsonl --stream
+```
+
+- List and show run meta
+```bash
+# list created run
+pf run list
+
+# get a sample run name
+name=$(pf run list -r 10 | jq '.[] | select(.name | contains("conditional_flow_for_if_else")) | .name'| head -n 1 | tr -d '"')
+
+# show specific run detail
+pf run show --name $name
+
+# show output
+pf run show-details --name $name
+
+# visualize run in browser
+pf run visualize --name $name
+```

examples/flows/standard/conditional-flow-for-if-else/content_safety_check.py

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+from promptflow import tool
+import random
+
+
+@tool
+def content_safety_check(text: str) -> str:
+    # You can use a content safety node to replace this tool.
+    return random.choice([True, False])

examples/flows/standard/conditional-flow-for-if-else/data.jsonl

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+{"question": "What is Prompt flow?"}
+{"question": "What is ChatGPT?"}

examples/flows/standard/conditional-flow-for-if-else/default_result.py

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+from promptflow import tool
+
+
+@tool
+def default_result(question: str) -> str:
+    return f"I'm not familiar with your query: {question}."

examples/flows/standard/conditional-flow-for-if-else/flow.dag.yaml

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+$schema: https://azuremlschemas.azureedge.net/promptflow/latest/Flow.schema.json
+inputs:
+  question:
+    type: string
+    default: What is Prompt flow?
+outputs:
+  answer:
+    type: string
+    reference: ${generate_result.output}
+nodes:
+- name: content_safety_check
+  type: python
+  source:
+    type: code
+    path: content_safety_check.py
+  inputs:
+    text: ${inputs.question}
+- name: llm_result
+  type: python
+  source:
+    type: code
+    path: llm_result.py
+  inputs:
+    question: ${inputs.question}
+  activate:
+    when: ${content_safety_check.output}
+    is: true
+- name: default_result
+  type: python
+  source:
+    type: code
+    path: default_result.py
+  inputs:
+    question: ${inputs.question}
+  activate:
+    when: ${content_safety_check.output}
+    is: false
+- name: generate_result
+  type: python
+  source:
+    type: code
+    path: generate_result.py
+  inputs:
+    llm_result: ${llm_result.output}
+    default_result: ${default_result.output}
+environment:
+    python_requirements_txt: requirements.txt

examples/flows/standard/conditional-flow-for-if-else/generate_result.py

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+from promptflow import tool
+
+
+@tool
+def generate_result(llm_result="", default_result="") -> str:
+    if llm_result:
+        return llm_result
+    else:
+        return default_result

examples/flows/standard/conditional-flow-for-if-else/llm_result.py

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+from promptflow import tool
+
+
+@tool
+def llm_result(question: str) -> str:
+    # You can use an LLM node to replace this tool.
+    return (
+        "Prompt flow is a suite of development tools designed to streamline "
+        "the end-to-end development cycle of LLM-based AI applications."
+    )

examples/flows/standard/conditional-flow-for-if-else/requirements.txt

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+promptflow
+promptflow-tools