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analysis_tests.py
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from ast import literal_eval
from google.cloud import language
from os import getenv
from pytest import fixture
from analysis import Analysis
from analysis import MID_TO_TICKER_QUERY
from twitter import Twitter
@fixture
def analysis():
return Analysis(logs_to_cloud=False)
def get_tweet(tweet_id):
"""Looks up data for a single tweet."""
twitter = Twitter(logs_to_cloud=False)
return twitter.get_tweet(tweet_id)
def get_tweet_text(tweet_id):
"""Looks up the text for a single tweet."""
tweet = get_tweet(tweet_id)
analysis = Analysis(logs_to_cloud=False)
return analysis.get_expanded_text(tweet)
def make_entity(name, type, metadata, salience, mentions):
"""Creates a language.enums.Entity object."""
entity = language.enums.Entity()
entity.name = name
entity.type = type
entity.metadata = metadata
entity.salience = salience
entity.mentions = mentions
return entity
def test_get_company_data_1(analysis):
assert analysis.get_company_data("/m/035nm") == [{
"exchange": "New York Stock Exchange",
"name": "General Motors",
"ticker": "GM"}]
def test_get_company_data_2(analysis):
assert analysis.get_company_data("/m/04n3_w4") == [{
"exchange": "New York Stock Exchange",
"name": "Fiat",
"root": "Fiat Chrysler Automobiles",
"ticker": "FCAU"}]
def test_get_company_data_3(analysis):
assert analysis.get_company_data("/m/0d8c4") == [{
"exchange": "New York Stock Exchange",
"name": "Lockheed Martin",
"ticker": "LMT"}]
def test_get_company_data_4(analysis):
assert analysis.get_company_data("/m/0hkqn") == [{
"exchange": "New York Stock Exchange",
"name": "Lockheed Martin",
"ticker": "LMT"}]
def test_get_company_data_5(analysis):
assert analysis.get_company_data("/m/09jcvs") == [{
"exchange": "NASDAQ",
"name": "YouTube",
"root": "Alphabet Inc.",
"ticker": "GOOG"}, {
"exchange": "NASDAQ",
"name": "YouTube",
"root": "Alphabet Inc.",
"ticker": "GOOGL"}, {
"exchange": "New York Stock Exchange",
"name": "YouTube",
"root": "BlackRock",
"ticker": "BLK"}, {
"exchange": "NASDAQ",
"name": "YouTube",
"root": "Google",
"ticker": "GOOG"}, {
"exchange": "NASDAQ",
"name": "YouTube",
"root": "Google",
"ticker": "GOOGL"}]
def test_get_company_data_6(analysis):
assert analysis.get_company_data("/m/045c7b") == [{
"exchange": "NASDAQ",
"name": "Google",
"ticker": "GOOG"}, {
"exchange": "NASDAQ",
"name": "Google",
"ticker": "GOOGL"}, {
"exchange": "NASDAQ",
"name": "Google",
"root": "Alphabet Inc.",
"ticker": "GOOG"}, {
"exchange": "NASDAQ",
"name": "Google",
"root": "Alphabet Inc.",
"ticker": "GOOGL"}, {
"exchange": "New York Stock Exchange",
"name": "Google",
"root": "BlackRock",
"ticker": "BLK"}]
# def test_get_company_data_7(analysis):
# assert analysis.get_company_data("/m/01snr1") == [{
# "exchange": "New York Stock Exchange",
# "name": "Bayer",
# "root": "BlackRock",
# "ticker": "BLK"}, {
# "exchange": "New York Stock Exchange",
# "name": "Bayer",
# "root": "PNC Financial Services",
# "ticker": "PNC"}]
def test_get_company_data_8(analysis):
assert analysis.get_company_data("/m/02zs4") == [{
"exchange": "New York Stock Exchange",
"name": "Ford Motor Company",
"ticker": "F"}]
def test_get_company_data_9(analysis):
assert analysis.get_company_data("/m/0841v") == [{
"exchange": "New York Stock Exchange",
"name": "Walmart",
"ticker": "WMT"}, {
"exchange": "New York Stock Exchange",
"name": "Walmart",
"root": "BlackRock",
"ticker": "BLK"}, {
"exchange": "New York Stock Exchange",
"name": "Walmart",
"root": "State Street Corporation",
"ticker": "STT"}]
def test_get_company_data_10(analysis):
assert analysis.get_company_data("/m/07mb6") == [{
"exchange": "New York Stock Exchange",
"name": "Toyota",
"ticker": "TM"}]
def test_get_company_data_11(analysis):
assert analysis.get_company_data("/m/0178g") == [{
"exchange": "New York Stock Exchange",
"name": "Boeing",
"ticker": "BA"}, {
"exchange": "New York Stock Exchange",
"name": "Boeing",
"root": "BlackRock",
"ticker": "BLK"}, {
"exchange": "NASDAQ",
"name": "Boeing",
"root": "T. Rowe Price",
"ticker": "TROW"}]
# def test_get_company_data_12(analysis):
# assert analysis.get_company_data("/m/07_dc0") == [{
# "exchange": "New York Stock Exchange",
# "name": "Carrier Corporation",
# "root": "United Technologies Corporation",
# "ticker": "UTX"}]
def test_get_company_data_13(analysis):
assert analysis.get_company_data("/m/01pkxd") == [{
"exchange": "New York Stock Exchange",
"name": "Macy's",
"root": "Macy's, Inc.",
"ticker": "M"}]
def test_get_company_data_14(analysis):
assert analysis.get_company_data("/m/02rnkmh") == [{
"exchange": "New York Stock Exchange",
"name": "Keystone Pipeline",
"root": "TransCanada Corporation",
"ticker": "TRP"}]
def test_get_company_data_15(analysis):
assert analysis.get_company_data("/m/0k9ts") == [{
"exchange": "New York Stock Exchange",
"name": "Delta Air Lines",
"ticker": "DAL"}]
def test_get_company_data_16(analysis):
assert analysis.get_company_data("/m/033yz") == [{
"exchange": "New York Stock Exchange",
"name": "Lockheed Martin",
"ticker": "LMT"}, {
"exchange": "New York Stock Exchange",
"name": "Lockheed Martin Aeronautics",
"root": "Lockheed Martin",
"ticker": "LMT"}]
def test_get_company_data_17(analysis):
assert analysis.get_company_data("/m/017b3j") is None
def test_get_company_data_18(analysis):
assert analysis.get_company_data("/m/07k2d") is None
def test_get_company_data_19(analysis):
assert analysis.get_company_data("/m/02z_b") is None
def test_get_company_data_20(analysis):
assert analysis.get_company_data("/m/0d6lp") is None
def test_get_company_data_21(analysis):
assert analysis.get_company_data("/m/04mzd6n") is None
def test_get_company_data_invalid(analysis):
assert analysis.get_company_data("xyz") is None
def test_get_company_data_empty(analysis):
assert analysis.get_company_data("") is None
def test_entity_tostring_1(analysis):
assert analysis.entity_tostring(make_entity(
name="General Motors",
type=language.enums.Entity.Type.ORGANIZATION,
metadata={
"mid": "/m/035nm",
"wikipedia_url": "http://en.wikipedia.org/wiki/General_Motors"},
salience=0.33838183,
mentions=["General Motors"])) == (
'{name: "General Motors",'
' type: "Type.ORGANIZATION",'
' metadata: {"mid": "/m/035nm",'
' "wikipedia_url": "http://en.wikipedia.org/wiki/General_Motors"},'
' salience: 0.33838183,'
' mentions: ["General Motors"]}')
def test_entity_tostring_2(analysis):
assert analysis.entity_tostring(make_entity(
name="jobs",
type=language.enums.Entity.Type.OTHER,
metadata={},
salience=0.31634554,
mentions=["jobs"])) == (
'{name: "jobs",'
' type: "Type.OTHER",'
' metadata: {},'
' salience: 0.31634554,'
' mentions: ["jobs"]}')
def test_entities_tostring(analysis):
assert analysis.entities_tostring([make_entity(
name="General Motors",
type=language.enums.Entity.Type.ORGANIZATION,
metadata={
"mid": "/m/035nm",
"wikipedia_url": "http://en.wikipedia.org/wiki/General_Motors"},
salience=0.33838183,
mentions=["General Motors"]), make_entity(
name="jobs",
type=language.enums.Entity.Type.OTHER,
metadata={},
salience=0.31634554,
mentions=["jobs"])]) == (
'[{name: "General Motors",'
' type: "Type.ORGANIZATION",'
' metadata: {"mid": "/m/035nm",'
' "wikipedia_url": "http://en.wikipedia.org/wiki/General_Motors"},'
' salience: 0.33838183,'
' mentions: ["General Motors"]}, '
'{name: "jobs",'
' type: "Type.OTHER",'
' metadata: {},'
' salience: 0.31634554,'
' mentions: ["jobs"]}]')
def test_entities_tostring_empty(analysis):
assert analysis.entities_tostring([]) == "[]"
def test_get_sentiment_1(analysis):
assert analysis.get_sentiment(get_tweet_text("806134244384899072")) < 0
# def test_get_sentiment_2(analysis):
# assert analysis.get_sentiment(get_tweet_text("812061677160202240")) > 0
# def test_get_sentiment_3(analysis):
# assert analysis.get_sentiment(get_tweet_text("816260343391514624")) < 0
# def test_get_sentiment_4(analysis):
# assert analysis.get_sentiment(get_tweet_text("816324295781740544")) > 0
def test_get_sentiment_5(analysis):
assert analysis.get_sentiment(get_tweet_text("816635078067490816")) > 0
def test_get_sentiment_6(analysis):
assert analysis.get_sentiment(get_tweet_text("817071792711942145")) < 0
# def test_get_sentiment_7(analysis):
# assert analysis.get_sentiment(get_tweet_text("818460862675558400")) > 0
def test_get_sentiment_8(analysis):
assert analysis.get_sentiment(get_tweet_text("818461467766824961")) > 0
def test_get_sentiment_9(analysis):
assert analysis.get_sentiment(get_tweet_text("821415698278875137")) > 0
# def test_get_sentiment_10(analysis):
# assert analysis.get_sentiment(get_tweet_text("821697182235496450")) > 0
def test_get_sentiment_11(analysis):
assert analysis.get_sentiment(get_tweet_text("821703902940827648")) > 0
def test_get_sentiment_12(analysis):
assert analysis.get_sentiment(get_tweet_text("803808454620094465")) > 0
def test_get_sentiment_13(analysis):
assert analysis.get_sentiment(get_tweet_text("621669173534584833")) < 0
def test_get_sentiment_14(analysis):
assert analysis.get_sentiment(get_tweet_text("664911913831301123")) < 0
def test_get_sentiment_15(analysis):
assert analysis.get_sentiment(get_tweet_text("823950814163140609")) > 0
def test_get_sentiment_16(analysis):
assert analysis.get_sentiment(get_tweet_text("824055927200423936")) > 0
def test_get_sentiment_17(analysis):
assert analysis.get_sentiment(get_tweet_text("826041397232943104")) < 0
def test_get_sentiment_18(analysis):
assert analysis.get_sentiment(get_tweet_text("824765229527605248")) > 0
def test_get_sentiment_19(analysis):
assert analysis.get_sentiment(get_tweet_text("827874208021639168")) < 0
def test_get_sentiment_20(analysis):
assert analysis.get_sentiment(get_tweet_text("828642511698669569")) < 0
def test_get_sentiment_21(analysis):
assert analysis.get_sentiment(get_tweet_text("828793887275761665")) < 0
def test_get_sentiment_22(analysis):
assert analysis.get_sentiment(get_tweet_text("829410107406614534")) > 0
def test_get_sentiment_23(analysis):
assert analysis.get_sentiment(get_tweet_text("829356871848951809")) < 0
# def test_get_sentiment_24(analysis):
# assert analysis.get_sentiment(get_tweet_text("808301935728230404")) < 0
def test_get_sentiment_25(analysis):
assert analysis.get_sentiment(get_tweet_text("845334323045765121")) > 0
def test_get_sentiment_26(analysis):
assert analysis.get_sentiment(get_tweet_text("1042161534603063301")) > 0
def test_get_sentiment_none(analysis):
assert analysis.get_sentiment(None) == 0
def test_find_companies_1(analysis):
assert analysis.find_companies(get_tweet("806134244384899072")) == [{
"exchange": "New York Stock Exchange",
"name": "Boeing",
"sentiment": -0.5,
"ticker": "BA"}, {
"exchange": "New York Stock Exchange",
"name": "Boeing",
"root": "BlackRock",
"sentiment": -0.5,
"ticker": "BLK"}, {
"exchange": "NASDAQ",
"name": "Boeing",
"root": "T. Rowe Price",
"sentiment": -0.5,
"ticker": "TROW"}]
def test_find_companies_2(analysis):
assert analysis.find_companies(get_tweet("812061677160202240")) == [{
"exchange": "New York Stock Exchange",
"name": "Lockheed Martin",
"sentiment": -0.30000001192092896,
"ticker": "LMT"}, {
"exchange": "New York Stock Exchange",
"name": "Boeing",
"sentiment": -0.30000001192092896, # 0.1
"ticker": "BA"}, {
"exchange": "New York Stock Exchange",
"name": "Boeing",
"root": "BlackRock",
"sentiment": -0.30000001192092896, # 0.1
"ticker": "BLK"}, {
"exchange": "NASDAQ",
"name": "Boeing",
"root": "T. Rowe Price",
"sentiment": -0.30000001192092896, # 0.1
"ticker": "TROW"}]
def test_find_companies_3(analysis):
assert analysis.find_companies(get_tweet("816260343391514624")) == [{
"exchange": "New York Stock Exchange",
"name": "General Motors",
"sentiment": 0.0, # -0.1
"ticker": "GM"}]
def test_find_companies_4(analysis):
assert analysis.find_companies(get_tweet("816324295781740544")) == [{
"exchange": "New York Stock Exchange",
"name": "Ford",
"root": "Ford Motor Company",
"sentiment": -0.5, # 0.1
"ticker": "F"}]
def test_find_companies_5(analysis):
assert analysis.find_companies(get_tweet("816635078067490816")) == [{
"exchange": "New York Stock Exchange",
"name": "Ford Motor Company",
"sentiment": 0.4000000059604645,
"ticker": "F"}]
def test_find_companies_6(analysis):
assert analysis.find_companies(get_tweet("817071792711942145")) == [{
"exchange": "New York Stock Exchange",
"name": "Toyota",
"sentiment": -0.10000000149011612,
"ticker": "TM"}]
def test_find_companies_7(analysis):
assert analysis.find_companies(get_tweet("818460862675558400")) == [{
"exchange": "New York Stock Exchange",
"name": "Chrysler",
"root": "Fiat Chrysler Automobiles",
"sentiment": 0.0, # 0.1
"ticker": "FCAU"}]
def test_find_companies_8(analysis):
assert analysis.find_companies(get_tweet("818461467766824961")) == [{
"exchange": "New York Stock Exchange",
"name": "Ford",
"root": "Ford Motor Company",
"sentiment": 0.30000001192092896,
"ticker": "F"}, {
"exchange": "New York Stock Exchange",
"name": "Fiat",
"root": "Fiat Chrysler Automobiles",
"sentiment": 0.30000001192092896,
"ticker": "FCAU"}]
def test_find_companies_9(analysis):
assert analysis.find_companies(get_tweet("821415698278875137")) == [{
"exchange": "New York Stock Exchange",
"name": "General Motors",
"sentiment": 0.8999999761581421,
"ticker": "GM"}, {
"exchange": "New York Stock Exchange",
"name": "Walmart",
"sentiment": 0.8999999761581421,
"ticker": "WMT"}, {
"exchange": "New York Stock Exchange",
"name": "Walmart",
"root": "BlackRock",
"sentiment": 0.8999999761581421,
"ticker": "BLK"}, {
"exchange": "New York Stock Exchange",
"name": "Walmart",
"root": "State Street Corporation",
"sentiment": 0.8999999761581421,
"ticker": "STT"}]
def test_find_companies_10(analysis):
assert analysis.find_companies(get_tweet("821697182235496450")) == [{
# "exchange": "New York Stock Exchange",
# "name": "Ford Motor Company",
# "sentiment": -0.6000000238418579, # 0
# "ticker": "F"}, {
"exchange": "New York Stock Exchange",
"name": "General Motors",
"sentiment": -0.6000000238418579, # 0,
"ticker": "GM"}, {
"exchange": "New York Stock Exchange",
"name": "Lockheed Martin",
"sentiment": -0.6000000238418579, # 0,
"ticker": "LMT"}]
# def test_find_companies_11(analysis):
# assert analysis.find_companies(get_tweet("821703902940827648")) == [{
# "exchange": "New York Stock Exchange",
# "name": "Bayer",
# "sentiment": 0.0, # 0.1
# "root": "BlackRock",
# "ticker": "BLK"}, {
# "exchange": "New York Stock Exchange",
# "name": "Bayer",
# "sentiment": 0.0, # 0.1
# "root": "PNC Financial Services",
# "ticker": "PNC"}]
# def test_find_companies_12(analysis):
# assert analysis.find_companies(get_tweet("803808454620094465")) == [{
# "exchange": "New York Stock Exchange",
# "name": "Carrier Corporation",
# "sentiment": 0.5,
# "root": "United Technologies Corporation",
# "ticker": "UTX"}]
def test_find_companies_13(analysis):
assert analysis.find_companies(get_tweet("621669173534584833")) == [{
"exchange": "New York Stock Exchange",
"name": "Macy's",
"root": "Macy's, Inc.",
"sentiment": -0.699999988079071,
"ticker": "M"}]
def test_find_companies_14(analysis):
assert analysis.find_companies(get_tweet("664911913831301123")) == [{
"exchange": "New York Stock Exchange",
"name": "Macy's",
"root": "Macy's, Inc.",
"sentiment": -0.10000000149011612,
"ticker": "M"}]
def test_find_companies_15(analysis):
assert analysis.find_companies(get_tweet("823950814163140609")) == [{
"exchange": "New York Stock Exchange",
"name": "Dakota Access Pipeline",
"root": "Energy Transfer Partners",
"sentiment": 0.20000000298023224,
"ticker": "ETP"}]
def test_find_companies_16(analysis):
assert analysis.find_companies(get_tweet("824055927200423936")) == [{
"exchange": "New York Stock Exchange",
"name": "Ford Motor Company",
"sentiment": 0.5,
"ticker": "F"}, {
"exchange": "New York Stock Exchange",
"name": "General Motors",
"sentiment": 0.5,
"ticker": "GM"}]
def test_find_companies_17(analysis):
assert analysis.find_companies(get_tweet("826041397232943104")) == [{
"exchange": "New York Stock Exchange",
"name": "Delta Air Lines",
"sentiment": -0.6000000238418579,
"ticker": "DAL"}]
def test_find_companies_18(analysis):
assert analysis.find_companies(get_tweet("824765229527605248")) == []
def test_find_companies_19(analysis):
assert analysis.find_companies(get_tweet("827874208021639168")) == []
def test_find_companies_20(analysis):
assert analysis.find_companies(get_tweet("828642511698669569")) == []
def test_find_companies_21(analysis):
assert analysis.find_companies(get_tweet("828793887275761665")) == []
def test_find_companies_22(analysis):
assert analysis.find_companies(get_tweet("829410107406614534")) == [{
"exchange": "NASDAQ",
"name": "Intel",
"sentiment": 0.6000000238418579,
"ticker": "INTC"}]
def test_find_companies_23(analysis):
assert analysis.find_companies(get_tweet("829356871848951809")) == [{
"exchange": "New York Stock Exchange",
"name": "Nordstrom",
"sentiment": -0.20000000298023224,
"ticker": "JWN"}]
# def test_find_companies_24(analysis):
# assert analysis.find_companies(get_tweet("845334323045765121")) == [{
# "exchange": "NASDAQ",
# "name": "Charter Communications",
# "sentiment": 0.6,
# "ticker": "CHTR"}, {
# "exchange": "New York Stock Exchange",
# "name": "Charter Communications",
# "root": "Berkshire Hathaway",
# "sentiment": 0.6,
# "ticker": "BRK.A"}, {
# "exchange": "New York Stock Exchange",
# "name": "Charter Communications",
# "root": "Berkshire Hathaway",
# "sentiment": 0.6,
# "ticker": "BRK.B"}]
def test_find_companies_25(analysis):
assert analysis.find_companies(get_tweet("1067494680416407552")) == [{
"exchange": "New York Stock Exchange",
"name": "General Motors",
"sentiment": 0.0,
"ticker": "GM"}]
def test_find_companies_none(analysis):
assert analysis.find_companies(None) is None
def test_get_expanded_text_1(analysis):
assert analysis.get_expanded_text(get_tweet("829410107406614534")) == (
"Thank you Brian Krzanich, CEO of Intel. A great investment ($7 BILLIO"
"N) in American INNOVATION and JOBS! #AmericaFirst\U0001f1fa\U0001f1f8"
" https://t.co/76lAiSSQ1l")
def test_get_expanded_text_2(analysis):
assert analysis.get_expanded_text(get_tweet("828574430800539648")) == (
"Any negative polls are fake news, just like the CNN, ABC, NBC polls i"
"n the election. Sorry, people want border security and extreme vettin"
"g.")
def test_get_expanded_text_3(analysis):
assert analysis.get_expanded_text(get_tweet("828642511698669569")) == (
"The failing The New York Times writes total fiction concerning me. Th"
"ey have gotten it wrong for two years, and now are making up stories "
"& sources!")
def test_get_expanded_text_4(analysis):
assert analysis.get_expanded_text(get_tweet("845334323045765121")) == (
"Today, I was thrilled to announce a commitment of $25 BILLION & 2"
"0K AMERICAN JOBS over the next 4 years. THANK YOU Charter Communicati"
"ons! https://t.co/PLxUmXVl0h")
def test_get_expanded_text_5(analysis):
assert analysis.get_expanded_text(get_tweet("845645916732358656")) == (
"ObamaCare will explode and we will all get together and piece togethe"
"r a great healthcare plan for THE PEOPLE. Do not worry!")
STREAMING_TWEET_LONG = literal_eval(
'{"contributors": None, "truncated": True, "text": "Today, I was thrilled '
'to announce a commitment of $25 BILLION & 20K AMERICAN JOBS over the '
'next 4 years. THANK YOU\u2026 https://t.co/nWJ1hNmzoR", "is_quote_status"'
': False, "in_reply_to_status_id": None, "id": 845334323045765121, "favori'
'te_count": 0, "source": "<a href=\\"http://twitter.com/download/iphone\\"'
' rel=\\"nofollow\\">Twitter for iPhone</a>", "retweeted": False, "coordin'
'ates": None, "timestamp_ms": "1490378382823", "entities": {"user_mentions'
'": [], "symbols": [], "hashtags": [], "urls": [{"url": "https://t.co/nWJ1'
'hNmzoR", "indices": [120, 143], "expanded_url": "https://twitter.com/i/we'
'b/status/845334323045765121", "display_url": "twitter.com/i/web/status/8'
'\u2026"}]}, "in_reply_to_screen_name": None, "id_str": "84533432304576512'
'1", "display_text_range": [0, 140], "retweet_count": 0, "in_reply_to_user'
'_id": None, "favorited": False, "user": {"follow_request_sent": None, "pr'
'ofile_use_background_image": True, "default_profile_image": False, "id": '
'25073877, "verified": True, "profile_image_url_https": "https://pbs.twimg'
'.com/profile_images/1980294624/DJT_Headshot_V2_normal.jpg", "profile_side'
'bar_fill_color": "C5CEC0", "profile_text_color": "333333", "followers_cou'
'nt": 26964041, "profile_sidebar_border_color": "BDDCAD", "id_str": "25073'
'877", "profile_background_color": "6D5C18", "listed_count": 67185, "profi'
'le_background_image_url_https": "https://pbs.twimg.com/profile_background'
'_images/530021613/trump_scotland__43_of_70_cc.jpg", "utc_offset": -14400,'
' "statuses_count": 34648, "description": "45th President of the United St'
'ates of America", "friends_count": 43, "location": "Washington, DC", "pro'
'file_link_color": "0D5B73", "profile_image_url": "http://pbs.twimg.com/pr'
'ofile_images/1980294624/DJT_Headshot_V2_normal.jpg", "following": None, "'
'geo_enabled": True, "profile_banner_url": "https://pbs.twimg.com/profile_'
'banners/25073877/1489657715", "profile_background_image_url": "http://pbs'
'.twimg.com/profile_background_images/530021613/trump_scotland__43_of_70_c'
'c.jpg", "name": "Donald J. Trump", "lang": "en", "profile_background_tile'
'": True, "favourites_count": 46, "screen_name": "realDonaldTrump", "notif'
'cations": None, "url": None, "created_at": "Wed Mar 18 13:46:38 +0000 200'
'9", "contributors_enabled": False, "time_zone": "Eastern Time (US & Canad'
'a)", "protected": False, "default_profile": False, "is_translator": False'
'}, "geo": None, "in_reply_to_user_id_str": None, "possibly_sensitive": Fa'
'lse, "lang": "en", "extended_tweet": {"display_text_range": [0, 142], "en'
'tities": {"user_mentions": [], "symbols": [], "hashtags": [], "urls": [],'
' "media": [{"expanded_url": "https://twitter.com/realDonaldTrump/status/8'
'45334323045765121/video/1", "display_url": "pic.twitter.com/PLxUmXVl0h", '
'"url": "https://t.co/PLxUmXVl0h", "media_url_https": "https://pbs.twimg.c'
'om/ext_tw_video_thumb/845330366156210176/pu/img/NdRWqCDX-r734Vpd.jpg", "v'
'ideo_info": {"aspect_ratio": [16, 9], "duration_millis": 121367, "variant'
's": [{"url": "https://video.twimg.com/ext_tw_video/845330366156210176/pu/'
'vid/640x360/eu6vsoGqW43Cc64C.mp4", "bitrate": 832000, "content_type": "vi'
'deo/mp4"}, {"url": "https://video.twimg.com/ext_tw_video/8453303661562101'
'76/pu/vid/320x180/QPwu682wzK5C4e0V.mp4", "bitrate": 320000, "content_type'
'": "video/mp4"}, {"url": "https://video.twimg.com/ext_tw_video/8453303661'
'56210176/pu/pl/flkqzlPIkchbfIGZ.m3u8", "content_type": "application/x-mpe'
'gURL"}, {"url": "https://video.twimg.com/ext_tw_video/845330366156210176/'
'pu/vid/1280x720/6l5bIhFXEih9is4L.mp4", "bitrate": 2176000, "content_type"'
': "video/mp4"}]}, "id_str": "845330366156210176", "sizes": {"small": {"h"'
': 191, "resize": "fit", "w": 340}, "large": {"h": 576, "resize": "fit", "'
'w": 1024}, "medium": {"h": 338, "resize": "fit", "w": 600}, "thumb": {"h"'
': 150, "resize": "crop", "w": 150}}, "indices": [143, 166], "type": "vide'
'o", "id": 845330366156210176, "media_url": "http://pbs.twimg.com/ext_tw_v'
'ideo_thumb/845330366156210176/pu/img/NdRWqCDX-r734Vpd.jpg"}]}, "extended_'
'entities": {"media": [{"expanded_url": "https://twitter.com/realDonaldTru'
'mp/status/845334323045765121/video/1", "display_url": "pic.twitter.com/PL'
'xUmXVl0h", "url": "https://t.co/PLxUmXVl0h", "media_url_https": "https://'
'pbs.twimg.com/ext_tw_video_thumb/845330366156210176/pu/img/NdRWqCDX-r734V'
'pd.jpg", "video_info": {"aspect_ratio": [16, 9], "duration_millis": 12136'
'7, "variants": [{"url": "https://video.twimg.com/ext_tw_video/84533036615'
'6210176/pu/vid/640x360/eu6vsoGqW43Cc64C.mp4", "bitrate": 832000, "content'
'_type": "video/mp4"}, {"url": "https://video.twimg.com/ext_tw_video/84533'
'0366156210176/pu/vid/320x180/QPwu682wzK5C4e0V.mp4", "bitrate": 320000, "c'
'ontent_type": "video/mp4"}, {"url": "https://video.twimg.com/ext_tw_video'
'/845330366156210176/pu/pl/flkqzlPIkchbfIGZ.m3u8", "content_type": "applic'
'ation/x-mpegURL"}, {"url": "https://video.twimg.com/ext_tw_video/84533036'
'6156210176/pu/vid/1280x720/6l5bIhFXEih9is4L.mp4", "bitrate": 2176000, "co'
'ntent_type": "video/mp4"}]}, "id_str": "845330366156210176", "sizes": {"s'
'mall": {"h": 191, "resize": "fit", "w": 340}, "large": {"h": 576, "resize'
'": "fit", "w": 1024}, "medium": {"h": 338, "resize": "fit", "w": 600}, "t'
'humb": {"h": 150, "resize": "crop", "w": 150}}, "indices": [143, 166], "t'
'ype": "video", "id": 845330366156210176, "media_url": "http://pbs.twimg.c'
'om/ext_tw_video_thumb/845330366156210176/pu/img/NdRWqCDX-r734Vpd.jpg"}]},'
' "full_text": "Today, I was thrilled to announce a commitment of $25 BILL'
'ION & 20K AMERICAN JOBS over the next 4 years. THANK YOU Charter Comm'
'unications! https://t.co/PLxUmXVl0h"}, "created_at": "Fri Mar 24 17:59:42'
' +0000 2017", "filter_level": "low", "in_reply_to_status_id_str": None, "'
'place": None}')
def test_get_expanded_text_streaming_long(analysis):
assert analysis.get_expanded_text(STREAMING_TWEET_LONG) == (
"Today, I was thrilled to announce a commitment of $25 BILLION & 2"
"0K AMERICAN JOBS over the next 4 years. THANK YOU Charter Communicati"
"ons! https://t.co/PLxUmXVl0h")
STREAMING_TWEET_SHORT = literal_eval(
'{"contributors": None, "truncated": False, "text": "ObamaCare will explod'
'e and we will all get together and piece together a great healthcare plan'
' for THE PEOPLE. Do not worry!", "is_quote_status": False, "in_reply_to_s'
'tatus_id": None, "id": 845645916732358656, "favorite_count": 0, "source":'
' "<a href=\\"http://twitter.com/download/android\\" rel=\\"nofollow\\">Tw'
'itter for Android</a>", "retweeted": False, "coordinates": None, "timesta'
'mp_ms": "1490452672547", "entities": {"user_mentions": [], "symbols": [],'
' "hashtags": [], "urls": []}, "in_reply_to_screen_name": None, "id_str": '
'"845645916732358656", "retweet_count": 0, "in_reply_to_user_id": None, "f'
'avorited": False, "user": {"follow_request_sent": None, "profile_use_back'
'ground_image": True, "default_profile_image": False, "id": 25073877, "ver'
'ified": True, "profile_image_url_https": "https://pbs.twimg.com/profile_i'
'mages/1980294624/DJT_Headshot_V2_normal.jpg", "profile_sidebar_fill_color'
'": "C5CEC0", "profile_text_color": "333333", "followers_count": 27003111,'
' "profile_sidebar_border_color": "BDDCAD", "id_str": "25073877", "profile'
'_background_color": "6D5C18", "listed_count": 67477, "profile_background_'
'image_url_https": "https://pbs.twimg.com/profile_background_images/530021'
'613/trump_scotland__43_of_70_cc.jpg", "utc_offset": -14400, "statuses_cou'
'nt": 34649, "description": "45th President of the United States of Americ'
'a", "friends_count": 43, "location": "Washington, DC", "profile_link_colo'
'r": "0D5B73", "profile_image_url": "http://pbs.twimg.com/profile_images/1'
'980294624/DJT_Headshot_V2_normal.jpg", "following": None, "geo_enabled": '
'True, "profile_banner_url": "https://pbs.twimg.com/profile_banners/250738'
'77/1489657715", "profile_background_image_url": "http://pbs.twimg.com/pro'
'file_background_images/530021613/trump_scotland__43_of_70_cc.jpg", "name"'
': "Donald J. Trump", "lang": "en", "profile_background_tile": True, "favo'
'urites_count": 46, "screen_name": "realDonaldTrump", "notifications": Non'
'e, "url": None, "created_at": "Wed Mar 18 13:46:38 +0000 2009", "contribu'
'tors_enabled": False, "time_zone": "Eastern Time (US & Canada)", "protect'
'ed": False, "default_profile": False, "is_translator": False}, "geo": Non'
'e, "in_reply_to_user_id_str": None, "lang": "en", "created_at": "Sat Mar '
'25 14:37:52 +0000 2017", "filter_level": "low", "in_reply_to_status_id_st'
'r": None, "place": None}')
def test_get_expanded_text_streaming_short(analysis):
assert analysis.get_expanded_text(STREAMING_TWEET_SHORT) == (
"ObamaCare will explode and we will all get together and piece togethe"
"r a great healthcare plan for THE PEOPLE. Do not worry!")
def test_get_expanded_text_none(analysis):
assert analysis.get_expanded_text(None) is None
def test_make_wikidata_request(analysis):
assert analysis.make_wikidata_request(
MID_TO_TICKER_QUERY % "/m/02y1vz") == [{
"companyLabel": {
"type": "literal",
"value": "Facebook",
"xml:lang": "en"},
"rootLabel": {
"type": "literal",
"value": "Facebook, Inc.",
"xml:lang": "en"},
"exchangeNameLabel": {
"type": "literal",
"value": "NASDAQ",
"xml:lang": "en"},
"tickerLabel": {
"type": "literal",
"value": "FB"}}]