-
Notifications
You must be signed in to change notification settings - Fork 2
/
browse_logged_results.html
398 lines (314 loc) · 9.89 KB
/
browse_logged_results.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
<!DOCTYPE html>
<html>
<head>
<script type="statebus">
bus.honk = false
dom.BODY = ->
DIV
style:
minHeight: window.innerHeight
padding: 0
margin: 0
minWidth: 1400
backgroundColor: 'black'
#width: '100%'
color: 'white'
LOAD_LOG()
PLOT()
dom.PLOT = ->
all_data = fetch 'data'
return DIV null if !all_data.rows
settings = fetch('plot_settings')
if !settings.metric
settings.metric = 'Profit'
DIV
style:
position: 'relative'
DIV
style:
display: 'inline-block'
paddingRight: 20
verticalAlign: 'top'
INPUT
id: 'cumulative'
type: 'checkbox'
value: settings.cumulative
onChange: (e) ->
settings.cumulative = e.target.checked
save settings
LABEL
htmlFor: 'cumulative'
'cumulative'
BR null
SELECT
value: settings.metric
onChange: (e) ->
settings.metric = e.target.value
save settings
for metric in Object.keys(all_data.columns) when metric not in ['Start', 'End', 'Name', 'Currency1', 'Currency2', 'Exchange', 'series']
OPTION
value: metric
metric
DIV
style:
display: 'inline-block'
paddingRight: 20
verticalAlign: 'top'
"Currency 1 to exclude"
for c1 in Object.keys(uniq(all_data.columns.Currency1))
do (c1) ->
DIV null,
INPUT
id: "exclude_c1_#{c1}"
type: 'checkbox'
value: settings["exclude_c1_#{c1}"]
onChange: (e) ->
settings["exclude_c1_#{c1}"] = e.target.checked
save settings
LABEL
htmlFor: "exclude_c1_#{c1}"
c1
DIV
style:
display: 'inline-block'
paddingRight: 20
verticalAlign: 'top'
"Currency 2 to exclude"
for c2 in Object.keys(uniq(all_data.columns.Currency2))
do (c2) ->
DIV null,
INPUT
id: "exclude_c2_#{c2}"
type: 'checkbox'
value: settings["exclude_c2_#{c2}"]
onChange: (e) ->
settings["exclude_c2_#{c2}"] = e.target.checked
save settings
LABEL
htmlFor: "exclude_c2_#{c2}"
c2
DIV
style:
display: 'inline-block'
paddingRight: 20
verticalAlign: 'top'
"Exchanges to exclude"
for exchange in Object.keys(uniq(all_data.columns.Exchange))
do (exchange) ->
DIV null,
INPUT
id: "exclude_exchange_#{exchange}"
type: 'checkbox'
value: settings["exclude_exchange_#{exchange}"]
onChange: (e) ->
settings["exclude_exchange_#{exchange}"] = e.target.checked
save settings
LABEL
htmlFor: "exclude_exchange_#{exchange}"
exchange
DIV
ref: 'plotly'
style:
position: 'relative'
dom.PLOT.refresh = ->
all_data = fetch 'data'
return if !all_data.rows
settings = fetch('plot_settings')
cumulative = settings.cumulative
data = []
for series, data_idx of uniq(all_data.columns.series)
[c1,c2,exchange] = series.split('-')
if settings["exclude_exchange_#{exchange}"] || settings["exclude_c1_#{c1}"] || settings["exclude_c2_#{c2}"]
continue
vals = (s for s,idx in all_data.columns[settings.metric] when idx in data_idx)
if cumulative
if settings.metric in ['Profit', 'Profit*', 'Score*', 'Completed']
for val,idx in vals when idx > 0
vals[idx] = vals[idx - 1] + vals[idx]
else if settings.metric == 'Success'
new_vals = []
completed = (s for s,idx in all_data.columns.Completed when idx in data_idx)
successful = (s * all_data.columns.Completed[idx] for s,idx in all_data.columns.Success when idx in data_idx)
for val,idx in completed when idx > 0
completed[idx] = completed[idx - 1] + completed[idx]
for val,idx in successful when idx > 0
successful[idx] = successful[idx - 1] + successful[idx]
for val,idx in vals when idx > 0
vals[idx] = successful[idx] / completed[idx]
else
new_vals = []
for val,idx in vals when idx > 0
my_vals = vals.slice(0, idx + 1)
new_vals.push Math.average(my_vals)
for val,idx in vals when idx > 0
vals[idx] = new_vals[idx]
data.push
name: series.replace('USDT', 'USD')
type: 'scattergl'
mode: 'lines'
x: (s for s,idx in all_data.columns.Start when idx in data_idx)
y: vals
#yaxis: anchor
hoverinfo: "y+name"
line:
width: 1
data.sort (a,b) ->
a.name.localeCompare(b.name)
all = {}
for d in data
for x,idx in d.x
all[x] ||= []
all[x].push d.y[idx]
if settings.metric in ['Profit', 'Profit*', 'Score*', 'Completed']
for x,y of all
all[x] = Math.summation(y)
else
for x,y of all
all[x] = Math.average(y)
all = ([x,y] for x,y of all)
all.sort (a,b) -> a[0] - b[0]
data.unshift
name: 'ALL'
type: 'scattergl'
mode: 'markers+lines'
x: (a[0] for a in all)
y: (a[1] for a in all)
#yaxis: anchor
hoverinfo: "y+name"
line:
width: 1
layout =
dragmode: 'zoom'
margin:
r: 10
t: 25
b: 40
l: 60
pad: 0
showlegend: true
height: 700
paper_bgcolor: 'rgba(0,0,0,0)'
plot_bgcolor: 'rgba(0,0,0,0)'
font:
size: 12
color: '#888'
yaxis:
range: if settings.metric in ['Success', 'Not reset', 'Done in day', 'within hour'] then [0, 100] else if settings.metric in ['CAGR'] then [-200,200]
xaxis:
gridcolor: '#333'
showgrid: false
zeroline: true
rangeslider: {}
type: 'date'
try
Plotly.purge(@refs.plotly.getDOMNode())
catch e
console.log "Couldn't delete plotly trace before plotting"
Plotly.plot(@refs.plotly.getDOMNode(), data, layout)
dom.LOAD_LOG = ->
all_data = fetch('data')
DIV null,
FORM
enctype: "multipart/form-data"
INPUT
ref: 'upload'
type: 'file'
accept: "text/txt"
name: "files[]"
onChange: (evt) ->
document.title = evt.target.value.split('\\').pop().split('.')[0]
files = evt.target.files
f = files[0]
reader = new FileReader()
reader.onload = (e) ->
srows = e.target.result.split('\n')
rows = []
if srows[0].startsWith('<style>')
srows.shift()
for row in srows
rows.push row.split('\t')
header = rows.shift()
data = {}
sort_idx = null
for h,idx in header
data[h] = []
if h == 'Start'
sort_idx = idx
data.series = []
rows.sort (a,b) ->
parseInt(a[sort_idx]) - parseInt(b[sort_idx])
nrows = []
for row in rows
nrow = []
for cell,idx in row
field = header[idx]
if field.indexOf('Currency') > -1 || field in ['Exchange', 'Name']
val = cell
else if field in ['Start', 'End']
val = parseInt(cell) * 1000
else
val = parseFloat(cell.replace('$','').replace('%',''))
data[field].push val
nrow.push val
series = "#{data.Currency1[data.Currency1.length-1]}-#{data.Currency2[data.Currency2.length-1]}-#{data.Exchange[data.Exchange.length-1]}"
nrow.unshift series
data.series.push series
nrows.push nrow
header.unshift 'series'
all_data.rows = nrows
all_data.header = header
all_data.columns = data
save all_data
reader.readAsText(f)
uniq = (ar) ->
ops = {}
for e,idx in ar
key = e.key or (if e.constructor == String then e else JSON.stringify(e))
ops[key] ||= []
ops[key].push idx
ops
extend = (obj) ->
obj ||= {}
for arg, idx in arguments
if idx > 0
for own name,s of arg
if !obj[name]? || obj[name] != s
obj[name] = s
obj
extend Math,
summation: (data) ->
data.reduce((sum, value) ->
sum + value
, 0)
standard_dev: (values) ->
avg = Math.average(values)
squareDiffs = values.map((value) ->
diff = value - avg
sqrDiff = diff * diff
sqrDiff
)
avgSquareDiff = Math.average(squareDiffs)
stdDev = Math.sqrt(avgSquareDiff)
stdDev
average: (data) ->
sum = data.reduce((sum, value) ->
sum + value
, 0)
avg = sum / data.length
avg
median: (values, already_sorted) ->
if !already_sorted
values.sort (a, b) ->
a - b
half = Math.floor(values.length / 2)
if values.length % 2
values[half]
else
(values[half - 1] + values[half]) / 2.0
</script><script src="https://stateb.us/client6.js"></script>
<script src="vendor/md5.js"></script>
<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
</head>
<body>
</body>
</html>