├── LICENSE
├── README.md
├── Screen Shot 2018-04-27 at 16.16.33.png
├── Screen Shot 2018-04-27 at 16.16.52.png
├── Screen Shot 2018-04-27 at 16.26.59.png
├── Screen Shot 2018-05-02 at 23.05.38.png
├── gekkoBots.py
├── multiple-papertraders-example.txt
├── saved_bots-example.txt
├── server_credentials_api.json
└── short_utm.py
/LICENSE:
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575 | Foundation. If the Program does not specify a version number of the
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589 | 15. Disclaimer of Warranty.
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591 | THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
592 | APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
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610 | SUCH DAMAGES.
611 |
612 | 17. Interpretation of Sections 15 and 16.
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615 | above cannot be given local legal effect according to their terms,
616 | reviewing courts shall apply local law that most closely approximates
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618 | Program, unless a warranty or assumption of liability accompanies a
619 | copy of the Program in return for a fee.
620 |
621 | END OF TERMS AND CONDITIONS
622 |
623 | How to Apply These Terms to Your New Programs
624 |
625 | If you develop a new program, and you want it to be of the greatest
626 | possible use to the public, the best way to achieve this is to make it
627 | free software which everyone can redistribute and change under these terms.
628 |
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630 | to attach them to the start of each source file to most effectively
631 | state the exclusion of warranty; and each file should have at least
632 | the "copyright" line and a pointer to where the full notice is found.
633 |
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635 | Copyright (C)
636 |
637 | This program is free software: you can redistribute it and/or modify
638 | it under the terms of the GNU General Public License as published by
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640 | (at your option) any later version.
641 |
642 | This program is distributed in the hope that it will be useful,
643 | but WITHOUT ANY WARRANTY; without even the implied warranty of
644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
645 | GNU General Public License for more details.
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648 | along with this program. If not, see .
649 |
650 | Also add information on how to contact you by electronic and paper mail.
651 |
652 | If the program does terminal interaction, make it output a short
653 | notice like this when it starts in an interactive mode:
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657 | This is free software, and you are welcome to redistribute it
658 | under certain conditions; type `show c' for details.
659 |
660 | The hypothetical commands `show w' and `show c' should show the appropriate
661 | parts of the General Public License. Of course, your program's commands
662 | might be different; for a GUI interface, you would use an "about box".
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665 | if any, to sign a "copyright disclaimer" for the program, if necessary.
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667 | .
668 |
669 | The GNU General Public License does not permit incorporating your program
670 | into proprietary programs. If your program is a subroutine library, you
671 | may consider it more useful to permit linking proprietary applications with
672 | the library. If this is what you want to do, use the GNU Lesser General
673 | Public License instead of this License. But first, please read
674 | .
675 |
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | # gekko-python
2 | Command-Line Interface tool to control a Gekko server via API calls.
3 |
4 | Requirements: Python3. pip install: click, PrettyTable.
5 |
6 | SEE WIKI FOR USAGE
7 | https://github.com/CyborgDroid/gekko-python/wiki/Controlling-Gekko-Bots
8 |
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/gekkoBots.py:
--------------------------------------------------------------------------------
1 | import json, codecs
2 | import requests, urllib3
3 | import time
4 | import click
5 | from short_utm import UniversalTableMethods as utm
6 |
7 | #when running self-signed SSL certs on a VPS, ignore warnings in console:
8 | urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
9 |
10 | class gekkoServer(object):
11 | def __init__(self, server):
12 | self.get_server_info(server)
13 | self.gekkos = self.get_gekkos()
14 | self.scansets = []
15 |
16 | def get_scansets(self):
17 | response = self.api_calls(type='post', call='scansets')
18 | if response.status_code == 200:
19 | data = response.json()['datasets']
20 | return data
21 |
22 | #NOT WORKING AT ALL
23 | def start_imports_for_gaps(self):
24 | self.scansets = self.get_scansets()
25 | for d in self.scansets:
26 | print(d['asset'])
27 | print(d)
28 | from_values = [r['from'] for r in d['ranges']]
29 | to_values = [r['to'] for r in d['ranges']]
30 | print('from values: ', from_values)
31 | print('to values: ', to_values)
32 | print('Max: ', max([r['to'] for r in d['ranges']]))
33 |
34 | def import_data(self, exchange, currency, asset, from_date, to_date):
35 | conf = {"watch":{
36 | "exchange":exchange,
37 | "currency":currency,
38 | "asset":asset},
39 | "importer":{
40 | "daterange":{
41 | "from": from_date, #"2018-03-19 04:35"
42 | "to": to_date }}, #"2018-04-05 04:38"
43 | "candleWriter":{"enabled":True}}
44 | response = self.api_calls(type='post', call='import', data=conf)
45 |
46 | def start_from_file(self, file_name):
47 | with open(file_name, 'r') as f:
48 | d = json.load(f)
49 | f.close()
50 | #start all watchers first
51 | [self.start_watcher(x['exchange'], x['currency'], x['asset']) for x in d if x['type'] == 'watcher']
52 | #start all tradebots now
53 | [self.start_trader(x['exchange'], x['currency'], x['asset'], x['candleSize'], x['historySize'], x['strat_name'], x['strat_settings']) for x in d if x['type'] == 'tradebot']
54 | #start all paper traders
55 | [self.start_papertrader(x['exchange'], x['currency'], x['asset'], x['candleSize'], x['historySize'], x['strat_name'], x['strat_settings']) for x in d if x['type'] == 'paper trader']
56 |
57 |
58 | def save_gekkos(self, gekko_list_id):
59 | watchers = [
60 | {'type': w['type'], 'exchange': w['watch']['exchange'], 'asset': w['watch']['asset'], 'currency': w['watch']['currency']} for w in self.gekkos if w['type'] == 'watcher']
61 | tradebots = [
62 | {'type': w['trader'], 'exchange': w['watch']['exchange'], 'asset': w['watch']['asset'], 'currency': w['watch']['currency'],
63 | 'strat_name': w['strat']['name'], 'candleSize': w['strat']['tradingAdvisor']['candleSize'], 'historySize': w['strat']['tradingAdvisor']['historySize'],
64 | 'strat_settings': w['strat']['params']} for w in self.gekkos if w['type'] == 'leech' and w['trader'] == 'tradebot']
65 | papertraders = [
66 | {'type': w['paper trader'], 'exchange': w['watch']['exchange'], 'asset': w['watch']['asset'], 'currency': w['watch']['currency'],
67 | 'strat_name': w['strat']['name'], 'candleSize': w['strat']['tradingAdvisor']['candleSize'], 'historySize': w['strat']['tradingAdvisor']['historySize'],
68 | 'strat_settings': w['strat']['params']} for w in self.gekkos if w['type'] == 'leech' and w['trader'] == 'paper trader']
69 | # ****** ADD PAPER TRADERS HERE TO SAVE
70 | watchers.extend(tradebots)
71 | watchers.extend(papertraders)
72 | with open('saved_bots-' + gekko_list_id + '.txt', 'wb') as f:
73 | json.dump(watchers, codecs.getwriter('utf-8')(f), sort_keys = True, indent = 4, ensure_ascii=False)
74 | f.close()
75 | return 'saved_bots-' + gekko_list_id + '.txt'
76 |
77 | def get_server_info(self, server):
78 | # ########################
79 | # server_credentials_api.json file structure:
80 | # (for protecting your website with login credentials)
81 | # [{
82 | # "server_addr" : "https://123.456.789/api/",
83 | # "username" : "myuser",
84 | # "password" : "mypassword"
85 | # }]
86 | ############################
87 | if server == 'VPS':
88 | data = json.load(open('server_credentials_api.json', 'r'))
89 | self.api_url = data[0]['server_addr']
90 | self.u_name = data[0]['username']
91 | self.p_word = data[0]['password']
92 | elif server == 'localhost':
93 | self.api_url = 'http://localhost:3000/api/'
94 |
95 | def api_calls(self, type='get', call='gekkos', data={}):
96 | data = json.dumps(data)
97 | header = {
98 | 'Accept-Encoding': 'gzip, deflate, br',
99 | 'Content-Type': 'application/json'
100 | }
101 | if type == 'get':
102 | if 'localhost' in self.api_url:
103 | response = requests.get(self.api_url + call, data=data, headers=header)
104 | else:
105 | response = requests.get(self.api_url + call, data=data, headers=header, verify=False, auth=(self.u_name, self.p_word))
106 | elif type == 'post':
107 | if 'localhost' in self.api_url:
108 | response = requests.post(self.api_url + call, data=data, headers=header)
109 | #print(response.request.body)
110 | else:
111 | response = requests.post(self.api_url + call, data=data, headers=header, verify=False, auth=(self.u_name, self.p_word))
112 | return response
113 |
114 | def get_gekkos(self):
115 | response = self.api_calls('get', 'gekkos')
116 | if response.status_code == 200:
117 | data = response.json()
118 | return data
119 |
120 | def kill_gekko(self, id_to_kill):
121 | gekko_ids = [d['id'] for d in self.gekkos]
122 | def killer(x):
123 | if x in gekko_ids:
124 | response = self.api_calls('post','killGekko', {'id':x})
125 | if response.status_code == 200:
126 | print('************* ', x, ' Gekko killed', response.json())
127 | else:
128 | print('************* kill failed', response)
129 | else:
130 | print('******* ' + id_to_kill, ' not in list of gekko ids ' , gekko_ids , '*******' )
131 | if id_to_kill == "all":
132 | [killer(d['id']) for d in self.gekkos]
133 | else:
134 | killer(id_to_kill)
135 | self.gekkos = self.get_gekkos()
136 |
137 | def start_all(self):
138 | self.scansets = self.get_scansets()
139 | [self.start_watcher(i['exchange'], i['currency'], i['asset']) for i in self.scansets]
140 |
141 | def start_papertrader(self, exchange, currency, asset, candleSize, historySize, strat_name, strat_settings):
142 | #create conf file
143 | conf= {"market":{"type":"leech"},
144 | "mode":"realtime",
145 | "watch":{
146 | "exchange":exchange,
147 | "currency":currency,
148 | "asset":asset
149 | },
150 | "tradingAdvisor":{
151 | "enabled":True,
152 | "method":strat_name,
153 | "candleSize":candleSize,
154 | "historySize":historySize
155 | },
156 | strat_name: strat_settings,
157 | "candleWriter":{"enabled":True,"adapter":"sqlite"},
158 | "type":"paper trader",
159 | "performanceAnalyzer":{"riskFreeReturn":2,"enabled":True},
160 | "paperTrader":{"feeMaker":0.05,"feeTaker":0.05,"feeUsing":"maker","slippage":0,"simulationBalance":{"asset":0,"currency":1},"reportRoundtrips":True,"enabled":True}}
161 | #check if watcher already exists:
162 | # flattened_gekkos = [utm.flatten_json(x) for x in self.gekkos]
163 | # matching_leeches = [w for w in flattened_gekkos if w['type'] == 'leech' and w['watch.exchange'] == exchange and w['watch.currency'] == currency and w['watch.asset'] == asset]
164 | # if matching_leeches:
165 | # utm.print_lod('Paper trader or trader already active: ', utm.filter_lod_keys(['trader', 'type', 'watch.exchange', 'watch.currency', 'watch.asset', 'id'],matching_leeches))
166 | # else:
167 | self.start_config(conf)
168 |
169 | def start_watcher(self, exchange, currency, asset):
170 | conf = {
171 | "type":"market watcher",
172 | "mode":"realtime",
173 | "watch":{
174 | "exchange":exchange,
175 | "currency":currency,
176 | "asset":asset
177 | },
178 | "candleWriter":{"enabled":True, "adapter":"sqlite"}
179 | }
180 | matching_watchers=False
181 | if self.gekkos:
182 | flattened_gekkos = [utm.flatten_json(x) for x in self.gekkos]
183 | matching_watchers = [w for w in flattened_gekkos if w['type'] == 'watcher' and w['watch.exchange'] == exchange and w['watch.currency'] == currency and w['watch.asset'] == asset]
184 | if matching_watchers:
185 | utm.print_lod('watcher already active: ', utm.filter_lod_keys(['trader', 'type', 'watch.exchange', 'watch.currency', 'watch.asset', 'id'],matching_watchers))
186 | else:
187 | self.start_config(conf)
188 |
189 |
190 | def start_trader(self, exchange, currency, asset, candleSize, historySize, strat_name, strat_settings):
191 | #create conf file
192 | conf= {"market":{"type":"leech"},
193 | "mode":"realtime",
194 | "watch":{
195 | "exchange":exchange,
196 | "currency":currency,
197 | "asset":asset
198 | },
199 | "tradingAdvisor":{
200 | "enabled":True,
201 | "method":strat_name,
202 | "candleSize":candleSize,
203 | "historySize":historySize
204 | },
205 | strat_name: strat_settings,
206 | "candleWriter":{"enabled":True,"adapter":"sqlite"},
207 | "type":"tradebot",
208 | "performanceAnalyzer":{"riskFreeReturn":2,"enabled":True},
209 | "trader":{"enabled":True},"valid":True}
210 | #check if trader already exists:
211 | flattened_gekkos = [utm.flatten_json(x) for x in self.gekkos]
212 | matching_leeches = [w for w in flattened_gekkos if w['type'] == 'leech' and w['watch.exchange'] == exchange and w['watch.currency'] == currency and w['watch.asset'] == asset]
213 | if matching_leeches:
214 | utm.print_lod('Trader or paper trader already active: ', utm.filter_lod_keys(['trader', 'type', 'watch.exchange', 'watch.currency', 'watch.asset', 'id'],matching_leeches))
215 | else:
216 | self.start_config(conf)
217 |
218 | def start_config(self, config):
219 | header = {
220 | 'Accept-Encoding': 'gzip, deflate, br',
221 | 'Content-Type': 'application/json'
222 | }
223 | try:
224 | self.api_calls(type='post', call='startGekko', data=config)
225 | time.sleep(2)
226 | self.gekkos = self.get_gekkos()
227 | except Exception as e:
228 | print('EXCEPTION:', e)
229 |
230 | @click.command()
231 | @click.option('--server', help='"localhost" or "VPS"')
232 | @click.option('--kill', help='id of gekko to kill, or "all"')
233 | @click.option('--start', help='"filename.txt" starts all saved gekkos in file. "all" starts watchers for imports ("all" NOT WORKING).')
234 | @click.option('--save', help='Save current gekkos for later. Specify gekko file identifier to distinguish from other saves.')
235 | @click.option('--import_all', help='set to "true" to import all missing data in databases')
236 | def init_Gekko(server='localhost' ,kill=False, start=False, save=False, import_all=False):
237 | if server == 'VPS' or server == 'localhost':
238 | srv = gekkoServer(server)
239 | else:
240 | srv = gekkoServer('localhost')
241 | if kill:
242 | srv.kill_gekko(kill)
243 | if import_all:
244 | srv.start_imports_for_gaps()
245 | if start:
246 | srv.scansets = srv.get_scansets()
247 | if start == 'all':
248 | srv.start_all()
249 | else:
250 | srv.start_from_file(start)
251 | #print gekko info:
252 | if srv.gekkos and len(srv.gekkos) > 0:
253 | gekkos = [utm.flatten_json(x) for x in srv.gekkos]
254 | gekkos = utm.filter_lod_keys(['trader', 'type', 'watch.exchange', 'watch.currency', 'watch.asset', 'id', 'startAt'], gekkos)
255 | gekkos = utm.fill_in_missing_keys_in_lod(gekkos)
256 | utm.print_lod( "****************** RUNNING GEKKOS *******************", gekkos)
257 | if save:
258 | print('GEKKOS SAVED TO: ', srv.save_gekkos(save))
259 | else:
260 | print('****************** NO GEKKOS RUNNING *******************')
261 |
262 | if __name__ == '__main__':
263 | init_Gekko()
264 |
--------------------------------------------------------------------------------
/multiple-papertraders-example.txt:
--------------------------------------------------------------------------------
1 | [
2 | {
3 | "asset": "BNB",
4 | "currency": "BTC",
5 | "exchange": "binance",
6 | "type": "watcher"
7 | },
8 | {
9 | "asset": "BNB",
10 | "candleSize": 30,
11 | "currency": "BTC",
12 | "exchange": "binance",
13 | "historySize": 10,
14 | "strat_name": "RSI",
15 | "strat_settings": {
16 | "interval": 10,
17 | "thresholds": {
18 | "high": 90,
19 | "low": 10,
20 | "persistence": 0
21 | }
22 | },
23 | "type": "paper trader"
24 | },
25 | {
26 | "asset": "BNB",
27 | "candleSize": 30,
28 | "currency": "BTC",
29 | "exchange": "binance",
30 | "historySize": 10,
31 | "strat_name": "StochRSI",
32 | "strat_settings": {
33 | "interval": 10,
34 | "thresholds": {
35 | "high": 90,
36 | "low": 10,
37 | "persistence": 0
38 | }
39 | },
40 | "type": "paper trader"
41 | }
42 | ]
--------------------------------------------------------------------------------
/saved_bots-example.txt:
--------------------------------------------------------------------------------
1 | [
2 | {
3 | "asset": "BNB",
4 | "currency": "BTC",
5 | "exchange": "binance",
6 | "type": "watcher"
7 | },
8 | {
9 | "asset": "BNB",
10 | "candleSize": 30,
11 | "currency": "BTC",
12 | "exchange": "binance",
13 | "historySize": 10,
14 | "strat_name": "RSI",
15 | "strat_settings": {
16 | "interval": 10,
17 | "thresholds": {
18 | "high": 90,
19 | "low": 10,
20 | "persistence": 0
21 | }
22 | },
23 | "type": "tradebot"
24 | }
25 | ]
--------------------------------------------------------------------------------
/server_credentials_api.json:
--------------------------------------------------------------------------------
1 | [{
2 | "server_addr" : "https://123.456.789/api/",
3 | "username" : "myuser",
4 | "password" : "mypassword"
5 | }]
--------------------------------------------------------------------------------
/short_utm.py:
--------------------------------------------------------------------------------
1 | from prettytable import PrettyTable
2 | import heapq
3 | from operator import itemgetter
4 | import csv
5 |
6 | class UniversalTableMethods:
7 | #print list of dictionaries as table
8 | @staticmethod
9 | def print_lod(tablename, lod):
10 | print(tablename)
11 | x = PrettyTable()
12 | field_names = lod[0].keys()
13 | x._set_field_names(field_names)
14 | for dict in lod:
15 | current_dict = [dict[field] for field in field_names]
16 | x.add_row(current_dict)
17 | print(x)
18 |
19 | #convert dict of dicts to list of dicts (similar to pandas index to records)
20 | # {'john' : {'age':'20', 'dob':''}, 'ana' : {'age':'25', 'dob':''}}
21 | # TO =>
22 | # [{'name':'john', 'age':'20', dob:''}, {'name':'john', 'age':'25', 'dob':''}]
23 | @staticmethod
24 | def dod_to_lod(index_name, dict_of_dicts):
25 | new_lod = []
26 | for key, dict in dict_of_dicts.items():
27 | new_dict = {index_name:key}
28 | new_dict.update(dict)
29 | new_lod.append(new_dict)
30 | return new_lod
31 |
32 | #label all rows of data by adding a column with the same value in all rows
33 | @staticmethod
34 | def add_values_to_all_lod(dict_of_values_to_add, lod):
35 | result = [dict(item, **dict_of_values_to_add) for item in lod]
36 | return result
37 |
38 | #remove specific columns / keys from a list of dictionaries
39 | @staticmethod
40 | def remove_list_of_keys_from_lod(list_of_keys_to_remove, lod):
41 | def remove_list_of_keys_from_dict(dict):
42 | return {k:v for k, v in dict.items() if k not in list_of_keys_to_remove}
43 | return [remove_list_of_keys_from_dict(dict) for dict in lod]
44 |
45 | #filter a list of dicts using one column matching specific values in a list
46 | #Like filtering a table based on the values in one column
47 | @staticmethod
48 | def filter_lod_by_col_val(col_name, value_list, lod):
49 | result = [d for d in lod if d['col_name'] in value_list]
50 | return result
51 |
52 | # filter list of dicts to only include certain keys
53 | # Like filtering a table to include only certain columns
54 | @staticmethod
55 | def filter_lod_keys(keep_cols, lod):
56 | def filter_dict_keys(keys, dict):
57 | filtered_dict = {key: dict[key] for key in keys if key in dict.keys()}
58 | return filtered_dict
59 | new_lod = [filter_dict_keys(keep_cols, dict) for dict in lod]
60 | return new_lod
61 |
62 | #rename keys in list of dicts using a dictionary with Old:new values
63 | #Like renaming columns using a dictionary to specify the old and new column names
64 | @staticmethod
65 | def rename_lod_keys(keys_dict, lod):
66 | new_lod = [UniversalTableMethods.rename_dict_keys(keys_dict, dict) for dict in lod]
67 | return new_lod
68 |
69 | @staticmethod
70 | def rename_dict_keys(change_keys, old_dict):
71 | new_dict = {change_keys.get(k, k): v for k, v in old_dict.items()}
72 | return new_dict
73 |
74 | @staticmethod
75 | def lod_to_csv(filename, lod):
76 | lod = UniversalTableMethods.fill_in_missing_keys_in_lod(lod)
77 | lod_keys = lod[0].keys()
78 | if '.csv' not in filename:
79 | filename = filename + '.csv'
80 | with open(filename, 'wb') as output_file:
81 | dict_writer = csv.DictWriter(output_file, lod_keys)
82 | dict_writer.writeheader()
83 | dict_writer.writerows(lod)
84 |
85 | #update existing dict values with another dict.
86 | #update_keys_dict is the key0:key1 match in case updating from differently named columns
87 | #assumes second list has unique key, while first list need not be unique
88 | # or
89 | #Like updating one or more columns in a table using a second table and joining on one column.
90 | @staticmethod
91 | def update_lod_with_lod(lod_0, lod_1, join_key, update_keys_dict={}, default_if_na=None):
92 | # if the keys to be matched are not specified, assume they are called the same.
93 | # get the keys for the first row of data as the list of keys to update (minus the join key).
94 | if not update_keys_dict:
95 | update_keys = list(lod_1[0].keys())
96 | update_keys.remove(join_key)
97 | for key in update_keys:
98 | update_keys_dict.update({key:key})
99 |
100 | #cycle through rows of lod to be updated (lod_0) and find matching lod_1 row on join_key
101 | new_lod = lod_0
102 | for d_0 in new_lod:
103 | d_1 = next((dict for dict in lod_1 if dict[join_key] == d_0[join_key]), default_if_na)
104 | if d_1:
105 | #d_1 = [dict for dict in lod_1 if dict[join_key] == d_0[join_key]][0]
106 | #cycle through keys to be updated
107 | for k, v in update_keys_dict.items():
108 | # if k in d_0:
109 | # d_0[k] = d_1[v]
110 | # else:
111 | d_0.update({k : d_1[v]})
112 | return new_lod
113 |
114 | # if a dictionary in a list of dicts is missing key values that are in other dicts, add them to the dict.
115 | # Like adding columns to a table row for any row that is missing the column, so that all rows have the same columns
116 | @staticmethod
117 | def fill_in_missing_keys_in_lod(lod):
118 | for index, d in enumerate(lod):
119 | #if first loop assign headers
120 | missing_headers = False
121 | if index == 0:
122 | headers = list(d.keys())
123 | #if not first loop, extend list of headers if any are missing
124 | else:
125 | missing_headers = [header for header in list(d.keys()) if header not in headers]
126 | if missing_headers:
127 | headers.extend(missing_headers)
128 | #print(lod)
129 | #update all rows to ensure headers exist in all rows, fill in blanks
130 | lod = [UniversalTableMethods.fill_in_missing_keys_in_dict(dict, headers) for dict in lod]
131 | return lod
132 |
133 | @staticmethod
134 | def fill_in_missing_keys_in_dict(dict, keys):
135 | blank_data = {key: '' for key in keys if key not in list(dict.keys())}
136 | dict.update(blank_data)
137 | return dict
138 |
139 | #flatten nested dicts and lists
140 | #If using for a list of dicts, must cycle through them flattening one dict at a time with a list comprehension
141 | # (used one 'row' at a time)
142 | @staticmethod
143 | def flatten_json(y):
144 | out = {}
145 |
146 | def flatten(x, name=''):
147 | if type(x) is dict:
148 | for a in x:
149 | flatten(x[a], name + a + '.')
150 | elif type(x) is list:
151 | i = 0
152 | for a in x:
153 | flatten(a, name + str(i) + '.')
154 | i += 1
155 | else:
156 | out[name[:-1]] = x
157 |
158 | flatten(y)
159 | return out
160 |
161 | #sorts the table and sets the rank based on one field
162 | @staticmethod
163 | def set_rank_float(lod, field, descending=False):
164 | newlist = UniversalTableMethods.change_field_type_lod(lod, field)
165 | #newlist = [(dict_[field], dict_) for dict_ in lod]
166 | newlist = sorted(lod, key=itemgetter(field), reverse=descending)
167 | for index, dict in enumerate(newlist):
168 | dict[field + '_rank'] = index + 1
169 | return newlist
170 |
171 | #change the data type for a key (field) in a list of dictionaries
172 | @staticmethod
173 | def change_field_type_lod(lod, field, type='float'):
174 | for d in lod:
175 | d[field] = float(d[field])
176 | return lod
177 | #new_lod = [dict([a, eval('%s(x)' % type)] if a in fields else a for a, x in b.items()) for b in lod]
178 | #new_lod = [{a: float(x)} if a in fields else {a: x} for b in lod for a, x in b.items()]
179 | #print(lod)
180 | #new_lod = [{a: float(x)} if a in fields else {a: x} for a, x in lod[0].items()]
181 | #print(new_lod)
182 |
183 | return new_lod
184 |
185 | #calculate the cumulative sum for a field and append as new column
186 | @staticmethod
187 | def set_cumsum(lod, field):
188 | cum = 0
189 | for dict in lod:
190 | cum += dict[field]
191 | dict['cumsum_' + field] = cum
192 | return lod
193 |
194 | # retrieve top N number of rows based on field value. ex: top 10 largest walls based on zscore
195 | @staticmethod
196 | def get_top_n(lod, field, top_n):
197 | if len(lod) > 0:
198 | top_dicts = heapq.nlargest(top_n, lod, key=lambda dict: dict[field])
199 | return top_dicts
200 |
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