Spaces:
Build error
Build error
Create variables.py
Browse files- variables.py +174 -0
variables.py
ADDED
@@ -0,0 +1,174 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
##Variables
|
2 |
+
|
3 |
+
import os
|
4 |
+
|
5 |
+
CONFIG = {
|
6 |
+
"bearer_token": os.environ.get("bearer_token")
|
7 |
+
}
|
8 |
+
|
9 |
+
sent_model_id = 'nickmuchi/optimum-finbert-tone-finetuned-fintwitter-classification'
|
10 |
+
topic_model_id = 'nickmuchi/optimum-finbert-tone-finetuned-finance-topic-classification'
|
11 |
+
task = 'text-classification'
|
12 |
+
|
13 |
+
sentiments = {"0": "Bearish", "1": "Bullish", "2": "Neutral"}
|
14 |
+
|
15 |
+
topics = {
|
16 |
+
"0": "Analyst Update",
|
17 |
+
"1": "Fed | Central Banks",
|
18 |
+
"2": "Company | Product News",
|
19 |
+
"3": "Treasuries | Corporate Debt",
|
20 |
+
"4": "Dividend",
|
21 |
+
"5": "Earnings",
|
22 |
+
"6": "Energy | Oil",
|
23 |
+
"7": "Financials",
|
24 |
+
"8": "Currencies",
|
25 |
+
"9": "General News | Opinion",
|
26 |
+
"10": "Gold | Metals | Materials",
|
27 |
+
"11": "IPO",
|
28 |
+
"12": "Legal | Regulation",
|
29 |
+
"13": "M&A | Investments",
|
30 |
+
"14": "Macro",
|
31 |
+
"15": "Markets",
|
32 |
+
"16": "Politics",
|
33 |
+
"17": "Personnel Change",
|
34 |
+
"18": "Stock Commentary",
|
35 |
+
"19": "Stock Movement",
|
36 |
+
}
|
37 |
+
|
38 |
+
user_name = [
|
39 |
+
"Investing.com",
|
40 |
+
"(((The Daily Shot)))",
|
41 |
+
"Bloomberg Markets",
|
42 |
+
"FirstSquawk",
|
43 |
+
"MarketWatch",
|
44 |
+
"markets",
|
45 |
+
"FinancialTimes",
|
46 |
+
"CNBC",
|
47 |
+
"ReutersBiz",
|
48 |
+
"BreakingNews",
|
49 |
+
"LiveSquawk",
|
50 |
+
"NYSE",
|
51 |
+
"WSJmarkets",
|
52 |
+
"FT",
|
53 |
+
"TheStreet",
|
54 |
+
"ftfinancenews",
|
55 |
+
"BloombergTV",
|
56 |
+
"Nasdaq",
|
57 |
+
"NYSE",
|
58 |
+
"federalreserve",
|
59 |
+
"NewYorkFed",
|
60 |
+
"sffed",
|
61 |
+
"WSJCentralBanks",
|
62 |
+
"RichmondFed",
|
63 |
+
"ecb",
|
64 |
+
"stlouisfed",
|
65 |
+
"WorldBank",
|
66 |
+
"MarketCurrents",
|
67 |
+
"OpenOutcrier",
|
68 |
+
"BullTradeFinder",
|
69 |
+
"WallStChatter",
|
70 |
+
"Briefingcom",
|
71 |
+
"SeekingAlpha",
|
72 |
+
"realDonaldTrump",
|
73 |
+
"AswathDamodaran",
|
74 |
+
"ukarlewitz",
|
75 |
+
"alphatrends",
|
76 |
+
"Investor666",
|
77 |
+
"ACInvestorBlog",
|
78 |
+
"ZorTrades",
|
79 |
+
"ScottNations",
|
80 |
+
"TradersCorner",
|
81 |
+
"TraderGoalieOne",
|
82 |
+
"option_snipper",
|
83 |
+
"jasonleavitt",
|
84 |
+
"LMT978",
|
85 |
+
"OptionsHawk",
|
86 |
+
"andrewbtodd",
|
87 |
+
"Terri1618",
|
88 |
+
"SunriseTrader",
|
89 |
+
"traderstewie",
|
90 |
+
"TMLTrader",
|
91 |
+
"IncredibleTrade",
|
92 |
+
"NYFedResearch",
|
93 |
+
"YahooFinance",
|
94 |
+
"business",
|
95 |
+
"economics",
|
96 |
+
"IMFNews",
|
97 |
+
"Market_Screener",
|
98 |
+
"QuickTake",
|
99 |
+
"NewsFromBW",
|
100 |
+
"BNCommodities",
|
101 |
+
]
|
102 |
+
|
103 |
+
user_id = [
|
104 |
+
"988955288",
|
105 |
+
"423769635",
|
106 |
+
"69620713",
|
107 |
+
"59393368",
|
108 |
+
"3295423333",
|
109 |
+
"624413",
|
110 |
+
"69620713",
|
111 |
+
"4898091",
|
112 |
+
"20402945",
|
113 |
+
"15110357",
|
114 |
+
"6017542",
|
115 |
+
"21323268",
|
116 |
+
"28164923",
|
117 |
+
"18949452",
|
118 |
+
"15281391",
|
119 |
+
"11014272",
|
120 |
+
"35002876",
|
121 |
+
"18639734",
|
122 |
+
"21323268",
|
123 |
+
"26538229",
|
124 |
+
"15072071",
|
125 |
+
"117237387",
|
126 |
+
"327484803",
|
127 |
+
"16532451",
|
128 |
+
"83466368",
|
129 |
+
"71567590",
|
130 |
+
"27860681",
|
131 |
+
"15296897",
|
132 |
+
"2334614718",
|
133 |
+
"2222635612",
|
134 |
+
"3382363841",
|
135 |
+
"72928001",
|
136 |
+
"23059499",
|
137 |
+
"25073877",
|
138 |
+
"33216611",
|
139 |
+
"37284991",
|
140 |
+
"15246621",
|
141 |
+
"293458690",
|
142 |
+
"55561590",
|
143 |
+
"18560146",
|
144 |
+
"244978426",
|
145 |
+
"85523269",
|
146 |
+
"276714687",
|
147 |
+
"2806294664",
|
148 |
+
"16205561",
|
149 |
+
"1064700308",
|
150 |
+
"61342056",
|
151 |
+
"184126162",
|
152 |
+
"405820375",
|
153 |
+
"787439438964068352",
|
154 |
+
"52166809",
|
155 |
+
"2715646770",
|
156 |
+
"47247213",
|
157 |
+
"374672240",
|
158 |
+
"19546277",
|
159 |
+
"34713362",
|
160 |
+
"144274618",
|
161 |
+
"25098482",
|
162 |
+
"102325185",
|
163 |
+
"252751061",
|
164 |
+
"976297820532518914",
|
165 |
+
"804556370",
|
166 |
+
]
|
167 |
+
|
168 |
+
def convert_user_names(user_name: list):
|
169 |
+
'''convert user_names to tweepy format'''
|
170 |
+
users = []
|
171 |
+
for user in user_name:
|
172 |
+
users.append(f"from:{user}")
|
173 |
+
|
174 |
+
return " OR ".join(users)
|