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app.py
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app.py
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from flask import Flask, render_template, request, jsonify
from pymongo.errors import PyMongoError
from pymongo import MongoClient
import os
import traceback
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
app = Flask(__name__)
analyser = SentimentIntensityAnalyzer()
def fetch_tweets(collection, search="", accuracy=0, bounding_box={'SW': [0,0], 'NE': [0,0]}, result_limit=10000):
search_data_query = {
'properties.geometry_accuracy' : {'$gt' : accuracy},
#'properties.text': {'$regex': search},
'$text': {'$search': '"' + search + '"'},
'geometry': {
'$geoWithin': {
'$box': [
bounding_box['SW'],
bounding_box['NE']
]
}
}
}
search_stats_query = [
{'$match': search_data_query},
{'$group':{
'_id': "all",
'total':{'$sum': 1},
'mean_pos': {'$avg': "$properties.pos"},
'stddev_pos': { '$stdDevPop': "$properties.pos" },
'mean_neg': {'$avg': "$properties.neg"},
'stddev_neg': { '$stdDevPop': "$properties.neg" }
}}
]
global_stats_query = [
{'$group':{
'_id': "all",
'total':{'$sum': 1},
'mean_pos': {'$avg': "$properties.pos"},
'stddev_pos': { '$stdDevPop': "$properties.pos" },
'mean_neg': {'$avg': "$properties.neg"},
'stddev_neg': { '$stdDevPop': "$properties.neg" }
}}
]
response = {
'meta': {
'search': search,
'search_sentiment': analyser.polarity_scores(search),
'accuracy': accuracy,
'bounding_box': bounding_box,
'search-stats': {},
'global-stats': {}
},
'data': [], }
# Get search data
data_cursor = collection.find(search_data_query).limit(result_limit) #threeshold to avoid blowing up leaflet
for record in data_cursor:
record['_id'] = str(record['_id'])
response['data'].append(record)
# For the search data, get basic stats
search_stats_cursor = collection.aggregate(search_stats_query)
response['meta']['search-stats'] = next(search_stats_cursor, {})
# For the whole dataset, get basic stats
global_stats_cursor = collection.aggregate(global_stats_query)
response['meta']['global-stats'] = next(global_stats_cursor, {})
return response;
@app.route('/')
def index():
return render_template('index.html')
@app.route('/tweet')
def tweet():
search = str(request.args.get('search'))
accuracy = float(request.args.get('accuracy'))
bounding_box = {
'SW': [float(request.args.get('SWlon')), float(request.args.get('SWlat'))],
'NE': [float(request.args.get('NElon')), float(request.args.get('NElat'))]
}
with MongoClient('mongodb+srv://{}:{}@{}'.format(os.environ['SENTIMENT_APP_MONGO_USER'], os.environ['SENTIMENT_APP_MONGO_PWD'], os.environ['SENTIMENT_APP_MONGO_CLUSTER'])) as mongo_client:
mongo_db = mongo_client['sentiment_db']
mongo_collection = mongo_db['tweets']
response = fetch_tweets(mongo_collection, search, accuracy, bounding_box)
return jsonify(response)
if __name__ == "__main__":
app.run(debug=True)