コード例 #1
0
ファイル: middleware.py プロジェクト: UF-OCR/ocr-api
def get_covid_data():
    cp = cache.get('covid-protocols')
    if cp is not None:
        logging.info("Cached result")
        return cp
    else:
        data_provider = DataProviderService(db_engine)
        protocols_list = data_provider.get_covid_protocols()
        data_provider.close_connection()
        if protocols_list:
            data = {
                "covid-protocols": protocols_list,
                "total": len(protocols_list)
            }
            cp = jsonify(data)
            cache.set('covid-protocols',
                      cp,
                      timeout=int(os.environ.get('timeout', 0)))
            response = make_response(cp, 200)
            response.headers["Cache-Control"] = "private"
            return response
        else:
            #
            # In case we did not find any protocols i.e the server is down
            # we send HTTP 404 - Not Found error to the client
            #
            abort(404)
コード例 #2
0
ファイル: middleware.py プロジェクト: UF-OCR/ocr-api
def log_details(username, validated, op_type):
    call_time = datetime.datetime.fromtimestamp(
        time.time()).strftime('%Y-%m-%d%H:%M:%S')
    ip_address = request.remote_addr
    data_provider = DataProviderService(db_engine)
    log_details_id = data_provider.log_details(username, ip_address, call_time,
                                               validated, op_type)
    data_provider.close_connection()
    return log_details_id
コード例 #3
0
from flask import jsonify
from flask import abort
from flask import make_response
from flask import request
from flask import url_for

from math import ceil

from data_provider_service import DataProviderService

db_engine = 'mysql+mysqldb://packtuser:secret@localhost/packtwebapi?unix_socket=/opt/lampp/var/mysql/mysql.sock'

PAGE_SIZE = 2

DATA_PROVIDER = DataProviderService(db_engine)


def candidate(serialize = True):
    candidates = DATA_PROVIDER.get_candidate(serialize=True)
    page = request.args.get("page")

    if page:
        nr_of_pages = int(ceil(float(len(candidates)) / PAGE_SIZE))
        converted_page = int(page)
        if converted_page > nr_of_pages or converted_page < 0:
            return make_response("", 404)

        from_idx = converted_page * PAGE_SIZE - 1
        stop_idx = from_idx + PAGE_SIZE
コード例 #4
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from flask import Flask
from flask import jsonify
from flask import url_for
from flask import abort
from flask import make_response
from flask import request

# Import the service which servers the data.
# This could be a service which loads the data
# from database or files or some website.
from data_provider_service import DataProviderService

DATA_PROVIDER = DataProviderService(15)

# create the Flask application
app = Flask(__name__)


# ROUTING:
#	One way to configure routing is to use the @app.route() decorator
#
@app.route("/api", methods=["GET"])
def list_routes():
    result = []
    for rt in app.url_map.iter_rules():
        result.append({"methods": list(rt.methods), "route": str(rt)})
    return jsonify({"routes": result, "total": len(result)})


def candidate():
    candidates = DATA_PROVIDER.get_candidates()
コード例 #5
0
'''
Created on Mar 21, 2018
@author: ishank
'''
import json, requests
from twilio.rest import Client  
from flask import Flask, request, jsonify, render_template
from flask_cors import CORS
from twilio.twiml.messaging_response import MessagingResponse

from data_provider_service import DataProviderService

appJson = json.load(open('app.json'))
dataProvider = DataProviderService()

app = Flask(__name__)
CORS(app)
client = Client(appJson['msgConfig']['account_sid'], appJson['msgConfig']['auth_token'])
responseMessages = dataProvider.getMsgTemplates()

def analyzeSentiment(message):
    sentiment_api_url = appJson['textAnalyticsConfig']['sentiment_api_url']

    documents = {'documents' : [
      {'id': '1', 'language': 'en', 'text': message}
    ]}
    
    headers   = {"Ocp-Apim-Subscription-Key": appJson['textAnalyticsConfig']['subscription_key']}
    response  = requests.post(sentiment_api_url, headers=headers, json=documents)
    sentiments = response.json()
    return sentiments['documents'][0]['score']