Update main.py
Browse files
main.py
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from fastapi import FastAPI, File, UploadFile
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from fastapi.responses import
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import os
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import io
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temp = open("t.txt","r")
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app = FastAPI()
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@app.get("/sample")
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def read_root():
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return {"message": str(temp.read())}
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from fastapi import FastAPI, File, UploadFile
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from fastapi.responses import FileResponse
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import os
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import io
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from fastapi.middleware.cors import CORSMiddleware
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import requests
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import pandas as pd
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Parameters
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API_KEY = "an3vib2nh4-3R48tMWfBZg"
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WEBSITE_COLUMN = "Website"
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def get_company_data(api_key, domain):
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response = requests.get(f"https://api.apollo.io/v1/organizations/enrich?api_key={api_key}&domain={domain}")
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result = response.json()
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if "organization" in result:
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org = result["organization"]
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return {
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"domain": domain,
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"alexa_ranking": org.get("alexa_ranking", "unknown"),
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"annual_revenue": org.get("annual_revenue", "unknown"),
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"country": org.get("country", "unknown"),
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"estimated_num_employees": org.get("estimated_num_employees", "unknown"),
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"industry": org.get("industry", "unknown"),
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"keywords": org.get("keywords", "unknown"),
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"linkedin_uid": org.get("linkedin_uid", "unknown")
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}
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else:
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print(f"No data for {domain}")
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return {
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"domain": domain,
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"alexa_ranking": "unknown",
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"annual_revenue": "unknown",
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"country": "unknown",
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"estimated_num_employees": "unknown",
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"industry": "unknown",
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"keywords": "unknown",
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"linkedin_uid": "unknown"
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}
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@app.get("/get_data_file")
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def main(file: UploadFile = File(...)):
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LEAD_LIST_PATH = file.filename
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print(file.filename)
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with open(file.filename, "wb") as file_object:
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file_object.write(file.file.read())
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def get_domain(url):
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if "//" in url:
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start = url.index("//") + 2
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else:
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start = 0
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result = url[start:].strip("/")
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return result
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# Read the list of websites from the Excel file
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data = pd.read_excel(LEAD_LIST_PATH)
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websites = data[WEBSITE_COLUMN].drop_duplicates().apply(get_domain)
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# Fetch company data for each website
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company_data = []
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for website in websites:
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company_data.append(get_company_data(API_KEY, website))
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OUTPUT_PATH = "CompanyData.xlsx"
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# Create a DataFrame and save to Excel
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df = pd.DataFrame(company_data)
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df.to_excel(OUTPUT_PATH, index=False)
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print("Company data has been successfully fetched and saved.")
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return FileResponse(OUTPUT_PATH, media_type='application/octet-stream', filename=OUTPUT_PATH)
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