# Basic flow with custom connection
A basic standard flow that using custom python tool calls Azure OpenAI with connection info stored in custom connection. 

Tools used in this flow：
- `prompt` tool
- custom `python` Tool

Connections used in this flow:
- None

## Prerequisites

Install promptflow sdk and other dependencies:
```bash
pip install -r requirements.txt
```

## Setup connection
Prepare your Azure Open AI resource follow this [instruction](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/how-to/create-resource?pivots=web-portal) and get your `api_key` if you don't have one.

Create connection if you haven't done that.
```bash
# Override keys with --set to avoid yaml file changes
pf connection create -f custom.yml --set secrets.api_key=<your_api_key> configs.api_base=<your_api_base>
```

Ensure you have created `basic_custom_connection` connection.
```bash
pf connection show -n basic_custom_connection
```

## Run flow

### Run with single line input

```bash
# test with default input value in flow.dag.yaml
pf flow test --flow .

# test with flow inputs
pf flow test --flow . --inputs text="Hello World!"

# test node with inputs
pf flow test --flow . --node llm --inputs prompt="Write a simple Hello World! program that displays the greeting message when executed."

```

### Run with multiple lines data

- create run
```bash
pf run create --flow . --data ./data.jsonl --column-mapping text='${data.text}' --stream
```

You can also skip providing `column-mapping` if provided data has same column name as the flow.
Reference [here](https://aka.ms/pf/column-mapping) for default behavior when `column-mapping` not provided in CLI.

- list and show run meta
```bash
# list created run
pf run list -r 3

# get a sample run name
name=$(pf run list -r 10 | jq '.[] | select(.name | contains("basic_with_connection")) | .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
```

### Run with connection override

Ensure you have created `open_ai_connection` connection before.

```bash
pf connection show -n open_ai_connection
```

Create connection if you haven't done that.
```bash
# Override keys with --set to avoid yaml file changes
pf connection create --file ../../../connections/azure_openai.yml --set api_key=<your_api_key> api_base=<your_api_base>
```

Run flow with newly created connection.

```bash
pf run create --flow . --data ./data.jsonl --connections llm.connection=open_ai_connection --column-mapping text='${data.text}' --stream
```

### Run in cloud with connection override

Ensure you have created `open_ai_connection` connection in cloud. Reference [this notebook](../../../tutorials/get-started/quickstart-azure.ipynb) on how to create connections in cloud with UI.

Run flow with connection `open_ai_connection`.

```bash
# set default workspace
az account set -s <your_subscription_id>
az configure --defaults group=<your_resource_group_name> workspace=<your_workspace_name>

pfazure run create --flow . --data ./data.jsonl --connections llm.connection=open_ai_connection --column-mapping text='${data.text}' --stream
```
