Skip to main content

Python bindings to Rust's genpdf-json library (PDF generator)

Project description

pygenpdf_json

It is a Fast PDF generator through JSON.

pygenpdf_json uses genpdf-json(https://github.com/numaelis/genpdf-json-rs) thanks to pyo3 and maturin

genpdf-json uses rckive-genpdf and generates a PDF from JSON data.

rckive-genpdf is a user-friendly PDF generator written in pure Rust.

The library can be used in two ways:

  1. Search for a JSON file and create a new PDF file in the specified path.
  2. Pass a JSON string and receive a PDF file in Base64 text.

El JSON puede ser pasado directamente o usando un archivo sqlite.db

Another way to use it is through the pygenpdf library (https://gitlab.com/numaelis/pygenpdf)

Options:

pygenpdf_json.render_json_file("file.json", "report.pdf")

file_pdf_base64 = pygenpdf_json.render_json_base64(json_string)

pygenpdf_json.render_file_from_sqlite("file.db", "report.pdf")

file_pdf_base64 = pygenpdf_json.render_base64_from_sqlite("file.db")

The structure of the document is:

    {
        "config": {...},
        "elements": [...elements...]
    }

examples:

import pygenpdf_json
pygenpdf_json.render_json_file("file.json", "file.pdf")

The file.json:

{
    "config": {
        "title": "report genpdf", 
        "style": {}, 
        "page_size": "A4", 
        "fonts": [], 
        "default_font": {"font_family_name": "LiberationSans", "dir": "/usr/share/fonts/truetype/liberation"}, 
        "head_page": {"type": "paragraph", "value": [{"text": "report genpdf-rs", "bold": true, "size": 8, "italic": true}], "alignment": "right"}, 
        "margins": [7, 10, 10, 10], "line_spacing": 1.0
        }, 
    "elements": [
                    {
                        "type": "layout", 
                        "orientation": "vertical", 
                        "elements": [
                                        {
                                            "type": "paragraph", 
                                            "value": [{"text": "Invoice", "bold": true, "size": 25}], 
                                            "alignment": "center"}, 
                                        {"type": "break", "value": 1}
                                    ], 
                        "frame": {"thickness": 0.1}, 
                        "padding": [1, 1, 1, 1]
                    }, 
                    {"type": "break", "value": 2}, 
                    {
                        "type": "paragraph", 
                        "value": [{"text": "details", "bold": true, "size": 12}], 
                        "alignment": "center"
                    }                
            ]
}

example base64:

import pygenpdf_json

string_json = """{
        "config": {
            "title": "report genpdf", 
            "style": {}, 
            "page_size": "A4", 
            "fonts": [], 
            "default_font": {"font_family_name": "LiberationSans", "dir": "/usr/share/fonts/truetype/liberation"}, 
            "head_page": {"type": "paragraph", "value": [{"text": "report genpdf-rs", "bold": true, "size": 8, "italic": true}], "alignment": "right"}, 
            "margins": [7, 10, 10, 10], "line_spacing": 1.0
            }, 
        "elements": [
                        {
                            "type": "layout", 
                            "orientation": "vertical", 
                            "elements": [
                                            {
                                                "type": "paragraph", 
                                                "value": [{"text": "Invoice", "bold": true, "size": 25}], 
                                                "alignment": "center"}, 
                                            {"type": "break", "value": 1}
                                        ], 
                            "frame": {"thickness": 0.1}, 
                            "padding": [1, 1, 1, 1]
                        }, 
                        {"type": "break", "value": 2}, 
                        {
                            "type": "paragraph", 
                            "value": [{"text": "details", "bold": true, "size": 12}], 
                            "alignment": "center"
                        }                
                ]
    }"""

pdf_string_base64 = pygenpdf_json.render_json_base64(string_json)
print(pdf_string_base64)

SQLite: To save the config: In a table called config, use a column named data (Text), and in this column, save a record with the config's JSON. For the elements: In a table called elements, use the id (autoincrement) column and the element (Text) column, and save the elements in each record in the JSON order. Optionally, for table layouts, save the rows in a new table separate from config and elements, with the structure id (autoincrement) and row (Text). Then, reassign the value to the JSON "rows" with the name of the table created.

import pygenpdf_json

render_file_from_sqlite("database.db", "output.pdf")

#or

pdf_string_base64 = pygenpdf_json.render_base64_from_sqlite("database.db")

#Type support

config:

"config":{
    "title":"", 
    "style": style, 
    "page_size": string or [float, float]  -> "A4", "Legal", "Letter", or [200,200]
    "fonts" : [{"font_family_name":"", dir:""}],
    "default_font": {"font_family_name":"", dir:""}
    "line_spacing": float,
    "margins": [float, float, float, float],
    "head_page": paragraph,
    "head_page_count", paragraph,
    "deafault_font_size" int,
    "skip_warning_overflowed": bool -> Skip the page size exceeded warning when the paragraph exceeds the layout
}

line_style:

 {
    "thickness":float
    "color":color
 }

margins:

    [top, right, bottom, left]

style:

 {
    "bold":bool,
    "italic":bool,
    "font_family": string,
    "color": color,
    "line_spacing": float,
    "size": int,
    "fit_size_to": int -> auto size to minimum
 }

alignment:

    "left"
    "center"
    "right"

string_style:

 {
    "text": string
    "bold":bool,
    "italic":bool,
    "font_family": string,
    "color": color,
    "line_spacing": float
 }

color:

    {"type":"rgb", "value":[int, int, int]}
    {"type":"cmyk", "value":[int, int, int, int]}
    {"type":"greyscale", "value":int}

elements

 {
    "type": layout,
    "orientation":"vertical"
    "frame": line_style,
    "style": style,
    "padding": margins,
    "elements": [...elements...]
 }
 
 {
    "type": layout,
    "orientation":"horizontal"
    "column_weights": [],
    "frame": line_style,
    "style": style,
    "padding": margins,
    "elements": [...elements column_weights...] -> 
 }
 
 {
    "type": table_layout,
    "frame_decorator":[[inner(bool), outer(bool), cont(bool)], line_style]
    "column_weights": [],
    "frame": line_style,
    "style": style,
    "padding": margins,
    "rows": [...row column_weights...] -> 
 }
 
 {
    "type": unordered_list,
    "frame": line_style,
    "style": style,
    "padding": margins,
    "elements": [...elements...]
    "bullet": string
 }
 
 {
    "type": ordered_list,
    "frame": line_style,
    "style": style,
    "padding": margins,
    "elements": [...elements...]
    "start": int
 }
 
 {
    "type": paragraph,
    "frame": line_style,
    "style": style,
    "padding": margins,
    "value": [...string_style...]
    "alignment" alignment
    "bullet": string
 }
 
 {
    "type": image,
    "path": string,
    "base64": string,
    "frame": line_style,    
    "padding": margins,    
    "alignment" alignment
    "position": [float, float],
    "scale": float,
    "rotation", float  +-
    "dpi": float    
 }
 
 {
    "type" : "break", 
    "value": float
 }
 
 {  
    "type" : "page_break"
 }
 

Other important information: If you need a small PDF file size on disk, use light fonts, as they are embedded within the PDF.

Links:

https://github.com/numaelis/genpdf-json-bin

https://github.com/numaelis/genpdf-json-rs

https://gitlab.com/numaelis/pygenpdf

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pygenpdf_json-0.1.8.tar.gz (4.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pygenpdf_json-0.1.8-cp311-cp311-manylinux_2_34_x86_64.whl (2.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.34+ x86-64

File details

Details for the file pygenpdf_json-0.1.8.tar.gz.

File metadata

  • Download URL: pygenpdf_json-0.1.8.tar.gz
  • Upload date:
  • Size: 4.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.9.6

File hashes

Hashes for pygenpdf_json-0.1.8.tar.gz
Algorithm Hash digest
SHA256 47dc9be9d7bceef482ae67090c50cbf383e4cbb58267019ff077f205f5d60c7b
MD5 66015812f4316b3e12ba06cb26b18e0c
BLAKE2b-256 4091b45d1abbe2fccb6fd5dea463f518c3051adec1604b52f63d87304b2e0c4a

See more details on using hashes here.

File details

Details for the file pygenpdf_json-0.1.8-cp311-cp311-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for pygenpdf_json-0.1.8-cp311-cp311-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 10e58dd75f351894b8a975c28f743aaed4c608a4c4333f50225162f72b96a8d1
MD5 cecb85da114e609d4a82065182442fc1
BLAKE2b-256 739808ae4d6b5788db9b8f74f1ee116ad3a3d2fd4bc0e1b4e8a09b66cb7b6a6e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page