是否可以从数据集中生成 pdf 并保存到代工厂

Question

FPDF is a library that allows to convert a pandas dataframe to nicely formatted pdf reports. Is there a feature in foundry code repo or code workbook to write pdf files into foundry from a spark or pandas dataframe?

i have a requirement to create a nicely formatted pdf report from a foundry dataset filtered to few rows.

Answer 1

While I'm not familiar with the FPDF library specifically, Foundry supports generating files from datasets in transforms or Code Workbooks.

To create a single Pandas-based PDF from your dataset, convert your dataset to Pandas and get an output file handle from Foundry such as. In Code Workbooks,

def pdf_dataset(input_df):
    output = Transforms.get_output()
    pd = input_df.toPandas()
    output_fs = output.filesystem()
        with output_fs.open(output_file_path, "wb") as f:
            # use FDPF as needed

Alternatively, you can create a PDF per-row in parallel via Spark. This can be done most easily by structuring your data such that the parameters needed to generate each PDF are colocated in rows and from there you can run a Python function on to generate the PDF and write it out of Python memory to the destination dataset.

In a Code Workbook this would resemble

def pdf_dataset(input_df):
    output = Transforms.get_output()

    def generate_pdf(row):
        output_fs = output.filesystem()
        with output_fs.open(output_file_path, "wb") as f:
            # use FDPF as needed
            
    input_df.rdd.foreach(generate_pdf)