I am working on a web application project which will allow user to search from keywords and get a set of results based on the keywords entered from scraping. For this I use scrapy for scraping results from a web search engine. I wrote some code to pass the keywords to the scrapy file and display the scrapy results on a webpage. However, I'm having trouble passing the keywords to scrapy using FastAPI, because when I run my api code, I always get a set of errors from Scrapy. Here is the gist containing the runtime terminal output. I don't understand the problem, yet my scrapy code was working perfectly before I connected it to the api, I'm a beginner on creating APIs, so I ask for your help. Here is the code for my web scraper:
import scrapy
import datetime
from requests_html import HTMLSession
class PagesearchSpider(scrapy.Spider):
name = 'pageSearch'
def start_requests(self,query):
#queries = [ 'investissement']
#for query in queries:
url = f'https://www.ask.com/web?q={query}'
s = HTMLSession()
r = s.get
print(r.status_code)
qlist[""]
yield scrapy.Request(url, callback=self.parse, meta={'pos': 0})
def parse(self, response):
print('url:', response.url)
start_pos = response.meta['pos']
print('start pos:', start_pos)
dt = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
items = response.css('div.PartialSearchResults-item')
for pos, result in enumerate(items, start_pos+1):
yield {
'title': result.css('a.PartialSearchResults-item-title-link.result-link::text').get().strip(),
'snippet': result.css('p.PartialSearchResults-item-abstract::text').get().strip(),
'link': result.css('a.PartialSearchResults-item-title-link.result-link').attrib.get('href'),
'position': pos,
'date': dt,
}
qlist.append(items)
# --- after loop ---
next_page = response.css('.PartialWebPagination-next a')
if next_page:
url = next_page.attrib.get('href')
print('next_page:', url) # relative URL
# use `follow()` to add `https://www.ask.com/` to URL and create absolute URL
yield response.follow(url, callback=self.parse, meta={'pos': pos+1})
# --- run without project, and save in file ---
from scrapy.crawler import CrawlerProcess
c = CrawlerProcess({
#'USER_AGENT': 'Mozilla/5.0',
# save in file CSV, JSON or XML
'FEEDS': {'test.json': {'format': 'json'}},
#'ROBOTSTXT_OBEY': True, # this stop scraping
})
c.crawl(PagesearchSpider)
c.start()
the code allowing the functioning of my api:
from fastapi import FastAPI
from script import PagesearchSpider
app = FastAPI()
request = PagesearchSpider()
#app.get("/{cat}")
async def read_item(cat):
return request.start_requests('cat')
I changed part of my scraper code, viz:
def start_requests(self,query):
#queries = [ 'investissement']
#for query in queries:
url = f'https://www.ask.com/web?q={query}'
if __name__ == '__main__':
s = HTMLSession()
r = s.get
print(r.status_code)
qlist[""]
but I still get the same errors. Unless I got the wrong crawler code, I'm not very good at scrapy
I also rewrote the code below my function...
# --- run without project, and save in file ---
if __name__ == "__main__":
from scrapy.crawler import CrawlerProcess
c = CrawlerProcess({
#'USER_AGENT': 'Mozilla/5.0',
# save in file CSV, JSON or XML
#'FEEDS': {'test.json': {'format': 'json'}},
#'ROBOTSTXT_OBEY': True, # this stop scraping
})
c.crawl(PagesearchSpider)
c.start()
and I executed this command python -m uvicorn main:app --reload to start server and I had the following results in the command line :
←[32mINFO←[0m: Will watch for changes in these directories: ['C:\\Users\\user\\Documents\\AAprojects\\Whelpsgroups1\\searchApi\\apiFast']
←[32mINFO←[0m: Uvicorn running on ←[1mhttp://127.0.0.1:8000←[0m (Press CTRL+C to quit)
←[32mINFO←[0m: Started reloader process [←[36m←[1m10956←[0m] using ←[36m←[1mstatreload←[0m
←[33mWARNING←[0m: The --reload flag should not be used in production on Windows.
←[32mINFO←[0m: Started server process [←[36m6724←[0m]
←[32mINFO←[0m: Waiting for application startup.
←[32mINFO←[0m: Application startup complete.
←[33mWARNING←[0m: StatReload detected file change in 'main.py'. Reloading...
←[33mWARNING←[0m: The --reload flag should not be used in production on Windows.
←[32mINFO←[0m: Started server process [←[36m2720←[0m]
←[32mINFO←[0m: Waiting for application startup.
←[32mINFO←[0m: Application startup complete.
But when I click from the command line on the link of the address my server started at, it opens my file explorer on windows 10 and when I manually write that link i.e. http://127.0.0.0:8000/ in my browser search bar it says 127.0.0.0 took too long to respond. Yet I didn't change any of my files, just the command I was using in console line so I don't know why this error.
I looked at the stack overflow questions, but they weren't directly related to the problem of difficulty sharing data between an api and a web scraper and on the internet I couldn't find any relevant answers. So I hope you could help me, I look forward to your answers, thank you!
Related
I've been developing an API using FastAPI and pipenv to manage my virtual environment. To start my testing setup, I use the following commands on the console:
pipenv shell
uvicorn backend:app --reload
The API starts after a couple of seconds and everything is okay. However, recently I decided to install pdfkit to generate some PDF documents that need to be sent back to a webapp. However, after I did (using this this page as reference):
pipenv install pdfkit
Now, whenever I try to run the same uvicorn command to start my API, the API returns the error module pdfkit not found. I've checked that the package is properly installed and it does appear on my Pipfile and whenever I type pip freeze once my enviroment has been activated.
Here's a snippet of the API call that returning the error:
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import FileResponse, StreamingResponse
from scipy.optimize import leastsq
from openpyxl import load_workbook
from openpyxl.utils.dataframe import dataframe_to_rows
from openpyxl.styles import Font
from openpyxl import Workbook
import pandas as pd
import numpy as np
import json
import os
# ==========================
# SETUP
# ==========================
app = FastAPI()
# ==========================
# CORS
# ==========================
origins = [
"http://127.0.0.1:5500/",
"http://127.0.0.1:8000/",
"http://localhost"
]
app.add_middleware(
CORSMiddleware,
allow_origins=["*"], # List of origins that are allowed to make cross-origin requests
allow_credentials=True, # Indicate that cookies should be supported for cross-origin requests
allow_methods=["*"], # List of HTTP methods that should be allowed for cross-origin requests
allow_headers=["*"], # List of HTTP headers that should be supported for cross-origin requests
)
# ==========================
# GET: PDF RENDERING
# ==========================
#app.get("/pdf")
def render_pdf(pdf_content: str):
from jinja2 import Template, Environment, FileSystemLoader
import pdfkit as pdf
# Jinja2 template "generator" or "main" object (AKA Environment)
env = Environment(loader = FileSystemLoader('PDF Rendering'), trim_blocks=True, lstrip_blocks=True)
# Template parameters
template_params = {
"BASE_PATH": os.getcwd(),
"REPORT_CONTENT": pdf_content,
}
# Render template
template = env.get_template("pdf_template.j2")
template_text = template.render(template_params)
with open("PDF Rendering/render.html", "w") as f:
f.write(template_text)
# Turn rendered file to PDF
pdf.from_file("PDF Rendering/render.html", "PDF Rendering/render.pdf")
return {
"message": "Success"
}
(The Jinja section works mind you, but for some reason, the pdfkit one doesnt)
I'm trying to implement custom XCOM backend.
Those are the steps I did:
Created "include" directory at the main Airflow dir (AIRFLOW_HOME).
Created these "custom_xcom_backend.py" file inside:
from typing import Any
from airflow.models.xcom import BaseXCom
import pandas as pd
class CustomXComBackend(BaseXCom):
#staticmethod
def serialize_value(value: Any):
if isinstance(value, pd.DataFrame):
value = value.to_json(orient='records')
return BaseXCom.serialize_value(value)
#staticmethod
def deserialize_value(result) -> Any:
result = BaseXCom.deserialize_value(result)
result = df = pd.read_json(result)
return result
Set at config file:
xcom_backend = include.custom_xcom_backend.CustomXComBackend
When I restarted webserver I got:
airflow.exceptions.AirflowConfigException: The object could not be loaded. Please check "xcom_backend" key in "core" section. Current value: "include.cust...
My guess is that it not recognizing the "include" folder
But how can I fix it?
*Note: There is no docker. It is installed on a Ubuntu machine.
Thanks!
So I solved it:
Put custom_xcom_backend.py into the plugins directory
set at config file:
xcom_backend = custom_xcom_backend.CustomXComBackend
Restart all airflow related services
*Note: Do not store DataFrames that way (bad practice).
Sources I used:
https://www.youtube.com/watch?v=iI0ymwOij88
I am having an error while importing the library request:
Import "requests" could not be resolved from sourcePylancereportMissingModuleSource (module) requests
In addition, flask, flask_restful and pandas are not working too, however, random works fine.
How should I fix this error?
Thanks.
Here's an example below:
import requests
x = input("write a file copy path: ")
f = open(x, "r")
lines = f.readlines()
fixed_websites = []
for website in lines:
fixed_website = website.strip("\n")
fixed_websites.append(fixed_website)
print(fixed_websites)
for site in fixed_websites:
r = requests.get(f"https://{site}")
print(f"the content of: {site} is {r.content}")
if r.status_code != 200:
print(f"Error: bad status_code for site: {site}, status_code {r.status_code}")
close(x, "r")
First try
pip uninstall requests
then
pip install requests
next time you'll import 'requests' you shouldn't have any problems
I have a python code thats using mitm proxy to capture website traffic and generate a JSON file and I am trying to integrate that code with Robot using its process library. If I run the python file by itself and initiate Robot tests from different window then the JSON file is generated with no issues but if I run the same file as part of my test setup in Robot(using process library) then no file is generated. Wondering what am I doing wrong here?
Here is my Python code
tracker.py
from mitmproxy import http, ctx
import json
match_url = ["https://something.com/"] # Break Point URL portion to be matched
class Tracker:
def __init__(self):
self.flow = http.HTTPFlow
def requests(self, flow):
for urls in match_url:
if urls in flow.request.pretty_url:
with open('out.json', 'a+', encoding='utf-8') as out:
json.dump(flow.request.content.decode(), out)
def done(self):
print("Bye Bye")
ctx.master.shutdown()
addons = [
AGTracker()
]
keyword.robot
Start browser proxy process
${result} = start process mitmdump -s my_directory/tracker.py -p 9995 > in.txt shell=True alias=mitm
Stop browser proxy process
Terminate process mitm
Airflow packaged DAGs seem like a great building block for a sane production airflow deployment.
I have a DAG with dynamic subDAGs, driven by a config file, something like:
config.yaml:
imports:
- project_foo
- project_bar`
which yields subdag tasks like imports.project_{foo|bar}.step{1|2|3}.
I've normally read in the config file using python's open function, a la config = open(os.path.join(os.path.split(__file__)[0], 'config.yaml')
Unfortunately, when using packaged DAGs, this results in an error:
Broken DAG: [/home/airflow/dags/workflows.zip] [Errno 20] Not a directory: '/home/airflow/dags/workflows.zip/config.yaml'
Any thoughts / best practices to recommend here?
It's a bit of a kludge, but I eventually just fell back on reading zip file contents via ZipFile.
import yaml
from zipfile import ZipFile
import logging
import re
def get_config(yaml_filename):
"""Parses and returns the given YAML config file.
For packaged DAGs, gracefully handles unzipping.
"""
zip, post_zip = re.search(r'(.*\.zip)?(.*)', yaml_filename).groups()
if zip:
contents = ZipFile(zip).read(post_zip.lstrip('/'))
else:
contents = open(post_zip).read()
result = yaml.safe_load(contents)
logging.info('Parsed config: %s', result)
return result
which works as you'd expect from the main dag.py:
get_config(os.path.join(path.split(__file__)[0], 'config.yaml'))