mirror of
https://github.com/ToolJet/ToolJet
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173 lines
5.5 KiB
Markdown
173 lines
5.5 KiB
Markdown
---
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id: run-py
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title: Run Python code
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---
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You can write custom Python code to interact with components and queries. To do that, you need to create a new query and select **Run Python code** from the available data sources.
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<div style={{textAlign: 'center'}}>
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<img className="screenshot-full" src="/img/datasource-reference/custom-python/add-run-py.png" alt="Run Python code" />
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</div>
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## Using Python Code to Trigger Component Specific Actions
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- Drag a **Text** component onto the canvas. We will set the text on the Text component using the Python query.
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- Create a query and select **Run Python code** from the available data sources
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- Paste the below code in the code editor and save the query:
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```python
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class Person:
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def __init__(self, name, age):
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self.name = name
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self.age = age
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def myfunc(self):
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return "Hello my name is " + self.name
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p1 = Person(tj_globals.currentUser.firstName, 36)
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components.text1.setText(p1.myfunc())
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```
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- The above code has a function `myfunc` which returns a string and we are using a **[Component Specific Action](/docs/tooljet-concepts/component-specific-actions)** to set the Text Component's value from the Python query.
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:::tip
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- As of now, Run Python code only supports the [Python standard library](https://docs.python.org/3/library/).
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- Check **[RunPy Limitations](/docs/contributing-guide/troubleshooting/runpy-limitations)** to go through the limitations with using Python code
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:::
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## Trigger Queries
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To trigger queries in Python, you can use the below functions:
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```py
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actions.runQuery('getSalesData')
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#replace getSalesData with your query name
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```
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```py
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queries.getSalesData.run()
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#replace getSalesData with your query name
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```
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## Get Query Data
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To immediately access the data returned by a query in **Run Python code**, you can use the below functions:
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#### Trigger a query and retrieve its data:
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```py
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await queries.getSalesData.run()
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#replace getSalesData with your query name
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value = queries.getSalesData.getData()
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#replace getSalesData with your query name
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value
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```
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#### Trigger a query and retrieve its raw data:
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```py
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await queries.getCustomerData.run()
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#replace getCustomerData with your query name
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value = queries.getCustomerData.getRawData()
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#replace getCustomerData with your query name
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value
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```
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#### Trigger a query and retrieve its loading state:
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```py
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await queries.getTodos.run()
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#replace getTodos with your query name
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value = queries.getTodos.getLoadingState()
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#replace getTodos with your query name
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value
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```
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## Get Variables
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To set and access variables or page variables in **Run Python code**, you can use the below functions:
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#### Set a variable:
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```py
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actions.setVariable('color','blue')
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#replace color with your desired variable name
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```
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#### Immediately retrieve a variable after setting it:
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```py
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actions.setVariable('mode','dark')
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#replace mode with your desired variable name
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actions.getVariable('mode')
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#replace mode with your desired variable name
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```
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#### Set a page-specific variable:
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```py
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actions.setPageVariable('version',1)
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#replace version with your desired variable name
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```
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#### Immediately retrieve a page-specific variable after setting it:
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```py
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actions.setPageVariable('number',1)
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#replace number with your desired variable name
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actions.getPageVariable('number')
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#replace number with your desired variable name
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```
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## Using Transformations With Python
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**Run Python code** can be used to transform the data that is fetched in the queries. To test transformations using Python, create a new `REST API` query, leave the method as `GET` and enter the below url under the `URL` property.
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```js
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https://dummyjson.com/products
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```
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Click on the **Run** button and check the preview of the returned data, below is the data structure of the response:
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```js
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products_data = {
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"products": [
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{"title": "iPhone 9", ...},
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{"title": "iPhone X", ...},
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# Additional products...
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]
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}
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```
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#### Filter the titles from the response
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To extract a list of product titles from the given data structure, we iterate through the `products` list and collect each product's `title` using the below code. Enable `Transformations` in the Query Editor and use the below code:
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```python
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return [product["title"] for product in data["products"]]
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```
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### Filtering Products by Category
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To filter products by a specific category, such as "smartphones", and extract their titles. Enable `Transformations` in the Query Editor and use the below code:
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```python
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return [product["title"] for product in data["products"] if product["category"] == "smartphones"]
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```
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### Calculating Average Price of a Category
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To calculate the average price of products within the "laptops" category. Enable `Transformations` in the Query Editor and use the below code:
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```python
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return sum(product["price"] for product in data["products"] if product["category"] == "laptops") / len([product for product in data["products"] if product["category"] == "laptops"]) if len([product for product in data["products"] if product["category"] == "laptops"]) > 0 else 0
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```
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:::info
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Issues with writing custom Python code? Ask in our [Slack community](https://www.tooljet.com/slack).
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:::
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## Refer Python Query Data in Components
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Just like other dynamic values, you can refer the data returned by **Run Python code** queries using double curly braces`{{}}`.
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For instance, if you have a **Run Python code** query named *updatedProductInfo*, you can pass `{{queries.updatedProductInfo.data}}` under the `Data` property of a Table component to populate it with the data returned by the *updatedProductInfo* query.
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