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api_request.py
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/
api_request.py
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__author__ = 'SeanSmith'
from pprint import pprint
import requests, json
import selenium
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import time
from matplotlib import pyplot as plt
import datetime
#Format
#{"importance": 0-10, "sentiment": positive/negative/neutral, "score":0-1}
#
def get_sentiment(text):
r = requests.get("https://api.idolondemand.com/1/api/sync/analyzesentiment/v1?apikey=fe6dea49-084f-4cd8-be86-0976baf9a714&text="+str(text))
if(r.status_code == 200):
#print(r.text)
data2 = json.loads(r.text)
#pprint(data2)
return data2['aggregate']['score']
else:
print("Error return code = "+r.status_code)
def get_text(url):
dlst = []
driver = webdriver.Firefox()
driver.get(url)
the_table = driver.find_element_by_id("siteTable")
elements = the_table.find_elements_by_tag_name("div")
print(elements)
for element in elements:
if(len(element.find_elements_by_class_name("title"))>0):
text = element.find_element_by_class_name("title").text
print(text)
dlst += [text]
driver.quit()
return dlst
#counter= 0
#text = get_text("http://www.reddit.com/r/Bitcoin/")
#print(text)
#for each in text:
#counter += get_sentiment(each)
#print(counter)
def graph(x_series, y_series, x_series1, y_series1, color1, color2):
plt.figure( 1 )
plt.plot(x_series, y_series, color1)
plt.plot(x_series1, y_series1, color2)
plt.draw()
plt.show()
def get_graph_data(filename):
file = open(filename, 'r').read()
file = eval(file)
x = []
y = []
for each in file:
x += [each[0]*10000+each[1]*100+each[2]]
y += [file[each]]
if(filename == 'bitcoinprices.txt'):
x = [20130403, 20120711, 20120617, 20121202, 20110325, 20140830, 20110910, 20101201, 20130131, 20131212, 20120207, 20110715, 20110421, 20111120, 20101129, 20130806, 20130918, 20121010, 20111226, 20140701, 20120608, 20120516, 20121225, 20120106, 20110414, 20110518, 20110821, 20140328, 20101026, 20130905, 20131019, 20120911, 20111203, 20140606, 20100920, 20130601, 20120509, 20110123, 20140508, 20130325, 20110509, 20110219, 20140910, 20140203, 20131004, 20131120, 20120329, 20120812, 20111028, 20140107, 20100913, 20100823, 20130714, 20120406, 20121130, 20140517, 20140411, 20130424, 20110208, 20110316, 20140809, 20110901, 20101224, 20130122, 20131103, 20131221, 20110706, 20111005, 20100814, 20101122, 20130815, 20121107, 20121029, 20140418, 20140710, 20130527, 20120603, 20121216, 20110311, 20110924, 20130109, 20130223, 20131202, 20120131, 20110407, 20111106, 20110830, 20140305, 20101115, 20101017, 20100722, 20130912, 20121004, 20120928, 20111220, 20140719, 20140613, 20130626, 20120502, 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20110720, 20111023, 20140130, 20100828, 20130707, 20130817, 20121109]
else:
x = [20131019, 20130109, 20130315, 20130513, 20130306, 20130703, 20130127, 20130504, 20130901, 20130329, 20130710, 20130118, 20130531, 20130908, 20130320, 20130717, 20130522, 20130919, 20130724, 20130926, 20130215, 20130409, 20130611, 20130406, 20130805, 20130225, 20130604, 20131007, 20130810, 20130218, 20130629, 20131008, 20130420, 20130819, 20130622, 20131017, 20130824, 20130115, 20131026, 20130309, 20130106, 20130511, 20130705, 20130125, 20130502, 20130907, 20130331, 20130712, 20130116, 20130529, 20130914, 20130322, 20130719, 20130520, 20130917, 20130726, 20130924, 20130213, 20130411, 20130206, 20130609, 20130807, 20130602, 20131005, 20130425, 20130812, 20130216, 20130627, 20131014, 20130422, 20130821, 20130620, 20131023, 20130826, 20130113, 20131024, 20130311, 20130104, 20130509, 20130302, 20130707, 20130131, 20130905, 20130325, 20130714, 20130122, 20130527, 20130912, 20130316, 20130721, 20130518, 20130923, 20130728, 20130930, 20130204, 20130402, 20130427, 20130814, 20130222, 20130625, 20131012, 20130416, 20130823, 20130618, 20131021, 20130828, 20131030, 20130110, 20130312, 20130129, 20130514, 20130327, 20130120, 20130525, 20130902, 20130318, 20130723, 20130516, 20130921, 20130730, 20130928, 20130210, 20130412, 20130203, 20130614, 20130405, 20130220, 20130607, 20131002, 20130418, 20130809, 20130616, 20131011, 20130830, 20131028, 20130108, 20130314, 20130103, 20130512, 20130305, 20130702, 20130126, 20130507, 20130328, 20130709, 20130530, 20130911, 20130716, 20130918, 20130208, 20130414, 20130201, 20130612, 20130407, 20130802, 20130226, 20130605, 20130428, 20130811, 20130219, 20130630, 20131009, 20130421, 20130816, 20130623, 20131018, 20130825, 20130114, 20131027, 20130308, 20130101, 20130510, 20130307, 20130704, 20130124, 20130505, 20130906, 20130330, 20130711, 20130119, 20130528, 20130909, 20130321, 20130718, 20130523, 20130916, 20130725, 20130927, 20130214, 20130408, 20130207, 20130610, 20130401, 20130804, 20130224, 20130603, 20131006, 20130430, 20130813, 20130217, 20130628, 20131015, 20130423, 20130818, 20130621, 20131016, 20130827, 20130112, 20131025, 20130310, 20130107, 20130508, 20130301, 20130706, 20130130, 20130503, 20130904, 20130324, 20130713, 20130117, 20130526, 20130915, 20130323, 20130720, 20130521, 20130922, 20130727, 20130925, 20130212, 20130410, 20130205, 20130608, 20130403, 20130806, 20130601, 20131004, 20130424, 20130815, 20130223, 20130626, 20131013, 20130417, 20130820, 20130619, 20131022, 20130829, 20130105, 20130303, 20130128, 20130501, 20130326, 20130715, 20130123, 20130524, 20130913, 20130317, 20130722, 20130519, 20130920, 20130729, 20130211, 20130413, 20130228, 20130615, 20130426, 20130801, 20130221, 20130624, 20131003, 20130419, 20130822, 20130617, 20131020, 20130831, 20131029, 20130111, 20130313, 20130102, 20130515, 20130304, 20130701, 20130121, 20130506, 20130903, 20130319, 20130708, 20130517, 20130910, 20130731, 20130929, 20130209, 20130415, 20130202, 20130613, 20130404, 20130803, 20130227, 20130606, 20131001, 20130429, 20130808, 20131010, 20130817]
x = sorted(x)
prices = []
dates = []
for each in x:
date = str(each)
year = int(date[0:4])
month = int(date[4:6])
day = int(date[6:8])
tuple = (year, month, day)
print(each)
prices += [file[tuple]]
dates += [float(each)]
print(dates)
print(prices)
return dates, prices
dates, prices = get_graph_data('bitcoinprices.txt')
date, sentiment = get_graph_data('sentiment.txt')
print(date, sentiment)
graph([], [], date, sentiment, "r", "b")