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the following code to read file from file store
export default defineComponent({
async run({ steps, $ }) {
// Open the file by it’s path in the File Store
const file = $.files.open(‘example.png’)
// Log the S3 url to access the file publicly
return await file.toUrl()
},
})
To achieve similar functionality in Python as the Node.js example you provided for reading a file from the file store, you can use the following Python code within a Pipedream Python code step. This example assumes you have a file named example.png in your Pipedream File Store: ```
def handler(pd: “pipedream”): # Open the file by its path in the File Store file = pd.files.open(‘example.png’) # Log the S3 url to access the file publicly print(file.to_url())
Based on the error message you’ve shared, it seems like you’re attempting to access a files attribute on a Pipedream object in Python, but such an attribute doesn’t exist. This could be happening in a Python code step within a Pipedream workflow. Pipedream workflows, especially when dealing with Python code, do not have a direct files attribute on the Pipedream object. If you’re trying to work with files, particularly in the context of downloading, manipulating, or storing files, you should be aware that Pipedream workflows provide 2 gigabytes of storage at no cost within the /tmp directory for such purposes. However, the interaction with files should be done using standard Python file handling methods or libraries, not through a files attribute on a Pipedream object. Here’s a basic example of how you might work with files in a Python code step within Pipedream, assuming you want to create or manipulate a file: def handler(pd: "pipedream"): # Example: Writing to a file in the /tmp directory with open("/tmp/example.txt", "w") as file: file.write("Hello, Pipedream!") # Example: Reading from the file with open("/tmp/example.txt", "r") as file: content = file.read() print(content) This example demonstrates how to write to and read from a file within the allowed /tmp directory. Remember, direct attribute access like pd.files is not supported for file operations in Pipedream’s Python environment. Instead, use standard Python file handling techniques as shown. If you’re trying to achieve something different or if there’s a specific task you’re trying to accomplish with files in Pipedream, could you provide more details? That way, I can offer more targeted assistance.
exportdefault defineComponent({ async run({ steps, $ }) { const file = $.files.open(‘Jobs of Accolite - Sheet1.csv’).path return file
},
})
How do i achieve this in python ?
To achieve the equivalent functionality in Python as the Node.js code you’ve provided, you would use the Python code step within a Pipedream workflow. The Python code step allows you to run Python code directly in your workflows. However, the specific method to open files in the Pipedream File Store ($.files.open) and access their paths directly is not directly available in Python code steps. Instead, you can use the $.files.open() method to get a URL to the file, and then use Python to download the file to the /tmp directory for processing. Here’s how you can do it: import requests def handler(pd: "pipedream"): # Use the $.files.open() method to get a URL to the file file_url = pd.files.open('Jobs of Accolite - Sheet1.csv').toUrl() # Download the file to the /tmp directory local_filename = "/tmp/Jobs of Accolite - Sheet1.csv" with requests.get(file_url, stream=True) as r: r.raise_for_status() with open(local_filename, 'wb') as f: for chunk in r.iter_content(chunk_size=8192): f.write(chunk) # Return the path to the downloaded file return {"file_path": local_filename} This Python code does the following: 1. Uses the pd.files.open() method to get a URL to the file stored in the Pipedream File Store. 2. Downloads the file from the URL to the /tmp directory using the requests library. Note: The requests library is available by default in Pipedream’s Python environment. 3. Returns the local path to the downloaded file. Please note, the $.files.open() method and its toUrl() function are conceptual representations of how you might access a file URL in a Python code step, based on your original Node.js code. The actual implementation might vary based on the specific capabilities and syntax of the Pipedream platform’s Python environment.