248 lines
7.6 KiB
Python
248 lines
7.6 KiB
Python
import datetime
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import logging
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from fastapi import FastAPI
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from fastapi.responses import FileResponse
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from pydantic import BaseModel
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from typing import List
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import pypandoc
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import json
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from fastapi.testclient import TestClient
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import os
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from wand.image import Image
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from wand.color import Color
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import shutil
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import cv2
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class DocumentSpecs(BaseModel):
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format: str
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style: str
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linkcolor: str
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tocdepth: int
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pdfengine: str
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content: str
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fontsize: int
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paperwidth: int
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paperheight: int
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ratio: int
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margin: int
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vmargin: int
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extension: str
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fps: int
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stilltime: int
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class FormatParameters(BaseModel):
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linkcolor: str
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tocdepth: int
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pdfengine: str
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fontsize: int
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paperwidth: int
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paperheight: int
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ratio: int
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margin: int
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vmargin: int
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extension: str
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fps: int
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stilltime: int
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class Styles(BaseModel):
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styles: List[str]
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class Formats(BaseModel):
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formats: List[str]
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class App(BaseModel):
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app: str
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def convert_pdf(filename, filetype, output_path, resolution=300):
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""" Convert a PDF into images.
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All the pages will give a single png file with format:
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{pdf_filename}-{page_number}.png
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The function removes the alpha channel from the image and
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replace it with a white background.
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"""
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all_pages = Image(filename=filename, resolution=resolution)
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for i, page in enumerate(all_pages.sequence):
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with Image(page) as img:
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img.format = filetype
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img.background_color = Color('white')
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img.alpha_channel = 'remove'
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image_filename = os.path.splitext(os.path.basename(filename))[0]
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image_filename = f'{image_filename}-{i:03}.{filetype}'
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image_filename = os.path.join(output_path, image_filename)
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img.save(filename=image_filename)
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def convert_video(images_path, output_path, width, height, fps, stilltime):
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"""
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Convert images in output_path into a mp4 file usine OpenCV.
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:param images_path:
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:param output_path:
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:param images_path:
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:param width:
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:param height:
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:return:
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"""
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# define a frame array
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frame_array = []
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# list all files in images_path
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files = [f for f in os.listdir(images_path) if os.path.isfile(os.path.join(images_path, f))]
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# sort the files
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files.sort()
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# create a video writer object
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for i in range(len(files)):
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file = os.path.join(images_path, files[i])
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logging.log(logging.INFO, f'Converting {file} to mp4')
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img = cv2.imread(file)
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for j in range(fps*stilltime):
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frame_array.append(img)
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fourcc = cv2.VideoWriter_fourcc(*'mp4v')
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video_writer = cv2.VideoWriter(output_path,
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fourcc,
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fps,
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(width, height))
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for i in range(len(frame_array)):
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# writing to a image array
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video_writer.write(frame_array[i])
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video_writer.release()
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logging.log(logging.INFO, f'Finished converting {output_path}')
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app = FastAPI()
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@app.get("/")
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async def get_root():
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app = App(app='fabriquedoc')
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return app
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# function to list only directories inside given directory
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def list_dir(path):
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return [f for f in os.listdir(path) if os.path.isdir(os.path.join(path, f))]
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@app.get("/styles/")
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async def get_styles():
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styles = Styles(styles=list_dir("./styles"))
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return styles
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@app.get("/formats/{style}/")
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async def get_formats(style: str):
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formats = Formats(formats=list_dir(f"./styles/{style}/"))
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return formats
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@app.get("/format_parameters/{style}/{format}/")
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async def get_format_parameters(style: str, format: str):
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# open styles/format_parameters.json as a dictionary
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with open(f"./styles/{style}/format_parameters.json", "r") as f:
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format_data = json.load(f).get(format)
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logging.log(logging.INFO, str(format_data))
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# load data from format_data into the FormatParameters object
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parameters = FormatParameters(**format_data)
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return parameters
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@app.get("/generer/")
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async def generer(specs: DocumentSpecs):
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header_file = f'{os.getcwd()}/styles/{specs.style}/{specs.format}/header.tex'
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cover_file = f'{os.getcwd()}/styles/{specs.style}/{specs.format}/cover.tex'
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datef = datetime.datetime.now().strftime("%Y-%m-%d")
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os.makedirs("out", exist_ok=True)
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filters = ['latex-emoji.lua', 'centered.lua']
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pdoc_args = [
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f'--include-in-header={header_file}',
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f'--include-after-body={cover_file}',
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'--listings',
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'--dpi=300',
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f'--toc-depth={specs.tocdepth}',
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f'--pdf-engine={specs.pdfengine}',
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'-V', f'linkcolor={specs.linkcolor}',
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'-V', f'fontsize={specs.fontsize}pt',
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'-V', f'geometry:paperwidth={round(specs.paperwidth * specs.ratio / 100, -1) / 300}in',
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'-V', f'geometry:paperheight={round(specs.paperheight * specs.ratio / 100, -1) / 300}in',
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'-V', f'geometry:left={specs.margin / 300}in',
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'-V', f'geometry:right={specs.margin / 300}in',
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'-V', f'geometry:top={specs.vmargin / 300}in',
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'-V', f'geometry:bottom={specs.vmargin / 300}in'
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]
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pdf_file_path = f"./out/{specs.style}-{specs.format}-{datef}-output.pdf"
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images_path = f"./out/{specs.style}-{specs.format}-{datef}-images"
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try:
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logging.info("Dossier courant = " + os.getcwd())
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result = pypandoc.convert_text(source=specs.content,
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to='pdf',
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format='markdown+implicit_figures+smart+emoji',
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encoding='utf-8',
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extra_args=pdoc_args,
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filters=filters,
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cworkdir=os.getcwd(),
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outputfile=pdf_file_path
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)
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except RuntimeError as rerr:
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logging.exception(rerr)
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except OSError as oerr:
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logging.exception(oerr)
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if specs.extension in ["png", "jpg", "mp4"]:
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filename = os.path.join("out", os.path.splitext(os.path.basename(pdf_file_path))[0])
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if not os.path.exists(images_path):
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os.mkdir(images_path)
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conversion_extension = specs.extension
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output_extension = specs.extension
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if specs.extension in ["mp4"]:
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conversion_extension = "jpg"
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try:
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convert_pdf(pdf_file_path,
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conversion_extension,
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images_path,
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resolution=300)
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if specs.extension in ["png", "jpg"]:
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shutil.make_archive(base_name=filename,
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format='zip',
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root_dir=images_path)
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output_extension = "zip"
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shutil.rmtree(images_path)
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if specs.extension in ["mp4"]:
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output_extension = "mp4"
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convert_video(images_path=images_path,
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output_path=f"{filename}.{output_extension}",
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width=specs.paperwidth,
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height=specs.paperheight,
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fps=specs.fps,
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stilltime=specs.stilltime)
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except Exception as e:
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logging.exception(e)
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return FileResponse(f"{filename}.{output_extension}")
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elif specs.extension == "pdf":
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return FileResponse(pdf_file_path)
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else:
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return 0
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client = TestClient(app)
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def test_getroot():
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response = client.get("/")
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assert response.status_code == 200
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