async def get_item_from_id(id_, get_func): if not id_: return "error", make_response( jsonify({"status": "id query param is not set"}), 400) item = await get_func(id_) if item is None: return "error", make_response( jsonify({"status": "no item with such id"}), 400) return "ok", item
async def get_data_for_table(select_func, **params): if not params["num_of_items"] or not params["offset"]: return "error", make_response( jsonify( {"status": "num_of_items or offset query params is not set"}), 400) try: data = await select_func(**params) except Exception as e: print(e) return "error", make_response( jsonify({"status": "db error occurred, check query params"}), 500) return data
def invoice_qr(invoice_id): invoice = Invoice.get_by_id(invoice_id) if invoice is None: abort(404) qr = qrcode.make(f"lightning:{invoice.payreq}".uppercase()) response = make_response(qr) response.headers.set("Content-Type", "image/png") return response
def default_render_json(payload, code, headers, user): """Default JSON response handler.""" # Force Content-Type header to json. if headers is None: headers = dict() headers["Content-Type"] = "application/json" payload = dict(meta=dict(code=code), response=payload) return make_response(jsonify(payload), code, headers)
def image_request(): thing = request.args.get('thing') or "mushroom" truncation = request.args.get('truncation') or 0.7 model = request.args.get('model') or "waifu" try: print(f"{thing} {model} {truncation}") filename = generate_image(thing=thing, model_name=model, truncation=float(truncation)) return send_file(filename, mimetype="image/png") except: traceback.print_exc() return make_response(("Can't generate image", 502))
async def predict_stars(): '''API scoring function, requires http POST request to contain 'title' and 'review'. ''' try: postjson = await request.json except Exception as e: raise e # Check request isn't empty or missing required information. if not postjson or [ x for x in ['review', 'title'] if x not in postjson.keys() ]: return make_response( jsonify({ 'error': 'Missing required information, "title" or "review".' }), 400) title = postjson['title'] review = postjson['review'] # Process request data. clean_text = cleaner.clean(title + '. ' + review) X = tokenizer.texts_to_sequences([clean_text]) X = pad_sequences(X, info['max_sequence']) # Make prediction. pred = model.predict(X) # Return prediction. apiresponse = jsonify({ 'prob': str(pred[0][0]), 'pos_neg': 'Positive' if pred[0][0] >= 0.5 else 'Negative' }) apiresponse.status_code = 200 return (apiresponse)
async def not_found(error): return quart.make_response(quart.jsonify({"error": "Not found"}), 404)
async def token(): return make_response( json.dumps({ "user": current_user.user_id, "token": current_user.token }))
def text(data, code, headers=None): return quart.make_response(six.text_type(data))
def test_resource_resp(self, app, mocker): resource = restplus.Resource() resource.get = mocker.Mock() with app.test_request_context("/foo"): resource.get.return_value = quart.make_response('') resource.dispatch_request()
def make_empty_resposne(): return quart.make_response('')
def plain_text_response(x): resp = make_response(str(x)) resp.headers["Content-Type"] = "text/plain; charset=utf-8" return resp
def not_found(error): return make_response(jsonify({'error': 'Not found'}), 404)