Step 2: Create a FastAPI Venture (2 Minutes)<\/h2>\n
Open your terminal and run:<\/p>\n
mkdir phone-apicd phone-apipython -m venv venvsupply venv\/bin\/activatepip set up fastapi uvicorn phonenumbers<\/span><\/pre>\nCreate primary.py<\/code> and paste the code under:<\/p>\n
from fastapi import FastAPI, Questionimport phonenumbersapp = FastAPI(title=\"Telephone Validation API\")def validate_phone_logic(telephone: str) -> dict:parsed = phonenumbers.parse(telephone, None)is_valid = phonenumbers.is_valid_number(parsed)return {\"telephone\": telephone, \"legitimate\": is_valid}@app.get(\"\/validate\")def validate(telephone: str = Question(..., description=\"Telephone with nation code\")):end result = validate_phone_logic(telephone)return end result<\/p><\/span><\/pre>\n
Run it regionally:<\/p>\n
uvicorn primary:app --reload<\/span><\/pre>\nCheck it:<\/p>\n
curl \"http:\/\/localhost:8000\/validate?telephone=%2B14155552671\"<\/span><\/pre>\nThat\u2019s it \u2014 your mannequin is now an API.<\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"
Step 2: Create a FastAPI Venture (2 Minutes) Open your terminal and run: mkdir phone-apicd phone-apipython -m venv venvsupply venv\/bin\/activatepip set up fastapi uvicorn phonenumbers Create primary.py and paste the code under: from fastapi import FastAPI, Questionimport phonenumbersapp = FastAPI(title=”Telephone Validation API”)def validate_phone_logic(telephone: str) -> dict:parsed = phonenumbers.parse(telephone, None)is_valid = phonenumbers.is_valid_number(parsed)return {“telephone”: telephone, “legitimate”: is_valid}@app.get(“\/validate”)def […]<\/p>\n","protected":false},"author":2,"featured_media":14282,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[55],"tags":[664,767,8865,3170,8864,2549,5961,153,5547,8866],"class_list":["post-14280","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-machine-learning","tag-api","tag-apr","tag-emma","tag-fastapi","tag-jupyter","tag-minutes","tag-notebook","tag-production","tag-render","tag-yasenchak"],"_links":{"self":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/14280","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=14280"}],"version-history":[{"count":1,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/14280\/revisions"}],"predecessor-version":[{"id":14281,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/14280\/revisions\/14281"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/media\/14282"}],"wp:attachment":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=14280"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=14280"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=14280"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}