PDF Table Search from Uploaded File Asynchronously - Python
PDF Find Table sample in Python demonstrating ‘PDF Table Search from Uploaded File Asynchronously’
PdfTableSearchFromUploadedFileAsynchronously.py
import os
import requests # pip install requests
import time
import datetime
# The authentication key (API Key).
# Get your own by registering at https://app.pdf.co
API_KEY = "******************************************"
# Base URL for PDF.co Web API requests
BASE_URL = "https://api.pdf.co/v1"
# Source PDF file
SourceFile = ".\\sample.pdf"
# Comma-separated list of page indices (or ranges) to process. Leave empty for all pages. Example: '0,2-5,7-'.
Pages = ""
# PDF document password. Leave empty for unprotected documents.
Password = ""
# (!) Make asynchronous job
Async = True
def main(args = None):
uploadedFileUrl = uploadFile(SourceFile)
if (uploadedFileUrl != None):
searchTableInPDF(uploadedFileUrl)
def searchTableInPDF(uploadedFileUrl):
"""Search Text using PDF.co Web API"""
# Prepare requests params as JSON
# See documentation: https://apidocs.pdf.co
parameters = {}
parameters["async"] = Async
parameters["password"] = Password
parameters["pages"] = Pages
parameters["url"] = uploadedFileUrl
# Prepare URL for 'PDF Table Search' API request
url = "{}/pdf/find/table".format(BASE_URL)
# Execute request and get response as JSON
response = requests.post(url, data=parameters, headers={ "x-api-key": API_KEY })
if (response.status_code == 200):
json = response.json()
if json["error"] == False:
# Asynchronous job ID
jobId = json["jobId"]
# URL of the result file
resultFileUrl = json["url"]
# Check the job status in a loop.
# If you don't want to pause the main thread you can rework the code
# to use a separate thread for the status checking and completion.
while True:
status = checkJobStatus(jobId) # Possible statuses: "working", "failed", "aborted", "success".
# Display timestamp and status (for demo purposes)
print(datetime.datetime.now().strftime("%H:%M.%S") + ": " + status)
if status == "success":
resp_res = requests.get(resultFileUrl);
json_resp_res = resp_res.json()
# Display found information
print(json_resp_res)
elif status == "working":
# Pause for a few seconds
time.sleep(3)
else:
print(status)
break
else:
# Show service reported error
print(json["message"])
else:
print(f"Request error: {response.status_code} {response.reason}")
def checkJobStatus(jobId):
"""Checks server job status"""
url = f"{BASE_URL}/job/check?jobid={jobId}"
response = requests.get(url, headers={ "x-api-key": API_KEY })
if (response.status_code == 200):
json = response.json()
return json["status"]
else:
print(f"Request error: {response.status_code} {response.reason}")
return None
def uploadFile(fileName):
"""Uploads file to the cloud"""
# 1. RETRIEVE PRESIGNED URL TO UPLOAD FILE.
# Prepare URL for 'Get Presigned URL' API request
url = "{}/file/upload/get-presigned-url?contenttype=application/octet-stream&name={}".format(
BASE_URL, os.path.basename(fileName))
# Execute request and get response as JSON
response = requests.get(url, headers={ "x-api-key": API_KEY })
if (response.status_code == 200):
json = response.json()
if json["error"] == False:
# URL to use for file upload
uploadUrl = json["presignedUrl"]
# URL for future reference
uploadedFileUrl = json["url"]
# 2. UPLOAD FILE TO CLOUD.
with open(fileName, 'rb') as file:
requests.put(uploadUrl, data=file, headers={ "x-api-key": API_KEY, "content-type": "application/octet-stream" })
return uploadedFileUrl
else:
# Show service reported error
print(json["message"])
else:
print(f"Request error: {response.status_code} {response.reason}")
return None
if __name__ == '__main__':
main()
PDF.co Web API: the Web API with a set of tools for documents manipulation, data conversion, data extraction, splitting and merging of documents. Includes image recognition, built-in OCR, barcode generation and barcode decoders to decode bar codes from scans, pictures and pdf.
Download Source Code (.zip)
return to the previous page explore PDF Find Table endpoint
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