Got a message that my witness votes were about to expire on peakd, and to be fair I never looked that much into witnesses and what I'm actually voting for, so this time I thought, why not look into it a bit more, so I got the list with a litlte curl command: ``` curl -s --data '{"jsonrpc":"2.0", "method":"condenser_api.get_witnesses_by_vote", "params":[null, 500], "id":1}' https://api.hive.blog|json_pp > witnesses.json ``` Looking into the info I noticed 6 fields that seemed relevant: * hardfork_version_vote : What hardforh did the witness vote for last * hbd_exchange_rate.base : What HBD.HIVE exchange rate was the last one in their price feed * last_hbd_exchange_update : When did they last pulish their price feed * props.account_creation_fee : What account creation fee did they vote for * props.hbd_interest_rate : What HBD interest rate did they vote for * props.maximum_block_size : What maximum block size did they vote for After some thinking, my thoughts were as follows: * Newer HF is better, but not too old is forgivable * Close to accurate price feed is a mild plus, wrong feed is worse than no feed * More recent pricefeed is better * Account creation shouldn't be too cheap or expensive, 5..15 seems like the sweetspot * HBD interest rate shouldn't be too low, but too high is worse, 3% to 7% seems like the sweet spot, this weighs more than most other factors * A higher maximum blocksize seems like a good idea, but not weighing it too much. From this I cam to the following script: ```python #!/usr/bin/env python3 import json import datetime # Hardfork vote, prefer newer HFSCORE = { "1.28.0": 100, "1.27.0": 70, "1.26.0": 0, "1.25.0": -300, "default": -1000, "nondef": -1000 } # Current HBD to HIVE exchange rates, valid is best, not defined better than wrong. EXCHSCORE = { "0.059": 30, "0.060": 30, "0.061": 30, "default": -200, "nondef": 0 } # Account creation fee, between 5 and 16 HIVE is best, below 3 and 49 HIVE OK CFEETABLE = [ [3.0, 5.0, 20], [5.0, 16.0, 50], [16.0, 49.0, 20]] # HBD interest rate, 3%..7% seems like the sweet spot, above 18 is very bad IRTABLE = [ [0, 300, 500], [300, 700, 3000], [700, 1100, 1800], [1100, 1400, 500], [1400, 1800, 0], [1800, 2200, -1000]] # Slight preference for larger block size. MBTABLE = [ [30000,100000,0], [100000,150000, 30]] def getscore(val, table): if val is None: return table["nondef"] rval = table.get(val,None) if rval is None: rval = table["default"] return rval def range_score(val, ranges, default, nondef): if val is None: return nondef for onerange in ranges: if val >= onerange[0] and val <= onerange[1]: return onerange[2] return default def getval(key, obj): if "." in key: first, more = key.split(".",1) if first in obj: return getval(more, obj[first]) return None if key in obj: return obj[key] return None def numeric(val): if val is None: return val return float(val.split(" ")[0]) def hbd_update_age_score(witn): if "last_hbd_exchange_update" in witn: dt = (datetime.datetime.now() - datetime.datetime.fromisoformat(witn["last_hbd_exchange_update"])).total_seconds() if dt < 3600*2: return 40 if dt < 3600*12: return 20 if dt < 3600*24*2: return 10 if dt < 3600*24*7: return 0 return -300 with open("witnesses.json") as f: witnesses = json.load(f) for witness in witnesses["result"]: score = 0 score += getscore(getval("hardfork_version_vote", witness), HFSCORE) score += getscore(getval("hbd_exchange_rate.base", witness), EXCHSCORE) score += range_score(numeric(getval("props.account_creation_fee", witness)),CFEETABLE, 0, 0) score += range_score(getval("props.hbd_interest_rate", witness),IRTABLE, -4000, -4000) score += range_score(getval("props.maximum_block_size", witness),MBTABLE, -30, -30) score += hbd_update_age_score(witness) if score > 1500: print(score, "@" + witness["owner"]) ``` The result: * 1740 @gtg * 1740 @stoodkev * 1740 @roelandp * 2940 @threespeak * 1740 @guiltyparties * 2940 @abit * 1740 @howo * 1740 @actifit * 1740 @oflyhigh * 2940 @rishi556 * 1740 @neoxian * 2940 @brianoflondon * 2940 @vsc.network * 2590 @anyx * 1740 @aliento * 1740 @sagarkothari88 * 1740 @mengao * 1740 @c0ff33a * 2940 @holoz0r * 1740 @liotes * 1740 @thebbhproject * 1740 @stresskiller * 2940 @condeas * 1740 @hispapro * 1720 @whiterosecoffee * 1740 @borislavzlatanov * 2600 @sn0n * 2620 @crypto-shots * 2220 @dpoll.witness * 1550 @steemed This looked perfect, 30 witnesses to vote for, but a few of these were actually disabled, so my script aparently is incomplete. I didn't bother to fix it for now and just voted for a few extra top 20 witnesses. For now I'm not doing anything more with this, my plate is quite full with development projects and I don't ahve time to add anything new, but I feel that a little service for finding witnesses whose voting behaviour we most agree with weighted against QOS metrics for their node would be something interesting to look at some day. I kinda wish I had time for that, but right now the InnuenDo stack has my full spare-time attention. # Update With the feedback I got from you guys I updated my script so I can run it once a month. Feel free to copy and adjust, expand and use. I get it is limited because witnesses do more than just run a node and vote on things. When I have time again I'll see if I can fit something more in. For now I have this script: ``` #!/usr/bin/env python3 import json import datetime OLDVOTES = set([ "gtg", "stoodkev", "roelandp", "threespeak", "guiltyparties", "abit", "howo", "actifit", "quochuy", "oflyhigh", "techcoderx", "rishi556", "neoxian", "brianoflondon", "vsc.network", "hextech", "aliento", "sagarkothari88", "mengao", "c0ff33a", "holoz0r", "liotes", "thebbhproject", "stresskiller", "innerhive", "condeas", "hispapro", "whiterosecoffee", "borislavzlatanov", "sn0n"]) HFSCORE = { "1.28.0": 100, "default": -30000, "nondef": -30000 } EXCHSCORET20 = { "0.059": 500, "0.060": 500, "0.061": 500, "default": -500, "nondef": -500 } EXCHSCORE = { "0.059": 50, "0.060": 50, "0.061": 50, "default": -50, "nondef": 0 } CFEETABLE = [ [3.0, 5.0, 20], [5.0, 16.0, 50], [16.0, 49.0, 20]] IRTABLE = [ [0, 300, 100], [300, 700, 3000], [700, 1100, 1800], [1100, 1400, 500], [1400, 1800, 0], [1800, 2200, -1000]] BAGE = [ [0,4,0], [4,24,-600], [24, 24*5, -1800], [24*5, 24*14, -4000]] MBTABLE = [ [30000,100000,0], [100000,150000, 30]] def getscore(val, table): if val is None: return table["nondef"] rval = table.get(val,None) if rval is None: rval = table["default"] return rval def range_score(val, ranges, default, nondef): if val is None: return nondef for onerange in ranges: if val >= onerange[0] and val <= onerange[1]: return onerange[2] return default def getval(key, obj): if "." in key: first, more = key.split(".",1) if first in obj: return getval(more, obj[first]) return None if key in obj: return obj[key] return None def numeric(val): if val is None: return val return float(val.split(" ")[0]) def hbd_update_age_score(witn): if "last_hbd_exchange_update" in witn: dt = (datetime.datetime.now() - datetime.datetime.fromisoformat(witn["last_hbd_exchange_update"])).total_seconds() if dt < 3600*2: return 40 if dt < 3600*12: return 20 if dt < 3600*24*2: return 10 if dt < 3600*24*7: return 0 return -300 with open("witnesses.json") as f: last_block_num = -1 witnesses = json.load(f) for witness in witnesses["result"]: lcb = witness.get("last_confirmed_block_num", -1) if lcb > last_block_num: last_block_num = lcb wno = 0 valid_witnesses = [] for witness in witnesses["result"]: wno += 1 top21 = True if wno > 21: top21 = False behind = (last_block_num - witness.get("last_confirmed_block_num", -1)) // 1200 score = 0 score += getscore(getval("hardfork_version_vote", witness), HFSCORE) if top21: score += getscore(getval("hbd_exchange_rate.base", witness), EXCHSCORET20) else: score += getscore(getval("hbd_exchange_rate.base", witness), EXCHSCORE) score += range_score(numeric(getval("props.account_creation_fee", witness)),CFEETABLE, 0, 0) score += range_score(getval("props.hbd_interest_rate", witness),IRTABLE, -4000, -4000) score += range_score(getval("props.maximum_block_size", witness),MBTABLE, -30, -30) score += hbd_update_age_score(witness) score += range_score(behind, BAGE, -30000, -30000) if score > 0: valid_witnesses.append([ str(score), "@" + witness["owner"], str(behind), str(getval("props.hbd_interest_rate", witness)), str(getval("props.maximum_block_size", witness)), getval("props.account_creation_fee", witness), getval("hbd_exchange_rate.base", witness), str(top21), str(witness["owner"] in OLDVOTES)]) valid_witnesses.sort(key=lambda x: int(x[0]), reverse=True) print("| match | score | witness | hours behind | apr | max-bs | creation-fee | exchange-rate | top 21 | oldvote |") print("| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |") linecount = 0 lastscore = -1 for line in valid_witnesses: linecount += 1 score = line[0] if linecount < 31 or score == lastscore or line[-1] == "True": print("|",linecount , "|", " | ".join(line),"|") if linecount < 31: lastscore = score ``` If I run it right now it gives the following output: | match | score | witness | hours behind | apr | max-bs | creation-fee | exchange-rate | top 21 | oldvote | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | 3080 | @rishi556 | 0 | 600 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | | 2 | 3080 | @brianoflondon | 0 | 500 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | | 3 | 3080 | @vsc.network | 0 | 500 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | | 4 | 3080 | @holoz0r | 0 | 570 | 65536 | 3.000 HIVE | 0.072 HBD | False | True | | 5 | 3080 | @condeas | 1 | 500 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | | 6 | 2750 | @sn0n | 3 | 420 | 65536 | 1.000 HIVE | 0.000 HIVE | False | True | | 7 | 2630 | @threespeak | 0 | 600 | 65536 | 3.000 HIVE | 0.059 HBD | True | True | | 8 | 2630 | @abit | 0 | 700 | 65536 | 3.000 HIVE | 0.059 HBD | True | True | | 9 | 1880 | @howo | 0 | 1000 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | | 10 | 1880 | @actifit | 0 | 1000 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | | 11 | 1880 | @oflyhigh | 0 | 1000 | 65536 | 3.000 HIVE | 0.057 HBD | False | True | | 12 | 1880 | @neoxian | 0 | 1000 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | | 13 | 1880 | @aliento | 0 | 1000 | 65536 | 3.000 HIVE | 0.060 HBD | False | True | | 14 | 1880 | @sagarkothari88 | 0 | 1000 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | | 15 | 1880 | @mengao | 0 | 1000 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | | 16 | 1880 | @c0ff33a | 0 | 1000 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | | 17 | 1880 | @liotes | 1 | 1000 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | | 18 | 1880 | @thebbhproject | 1 | 1000 | 65536 | 3.000 HIVE | 0.085 HBD | False | True | | 19 | 1880 | @stresskiller | 2 | 1000 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | | 20 | 1880 | @hispapro | 2 | 1100 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | | 21 | 1880 | @borislavzlatanov | 3 | 1000 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | | 22 | 1860 | @whiterosecoffee | 1 | 1000 | 65536 | 2.000 HIVE | 0.059 HBD | False | True | | 23 | 1600 | @innerhive | 0 | 1000 | 131072 | 3.000 HIVE | 0.137 HBD | False | True | | 24 | 1430 | @gtg | 0 | 1000 | 65536 | 3.000 HIVE | 0.059 HBD | True | True | | 25 | 1430 | @stoodkev | 0 | 1000 | 65536 | 3.000 HIVE | 0.060 HBD | True | True | | 26 | 1430 | @roelandp | 0 | 1010 | 65536 | 3.000 HIVE | 0.059 HBD | True | True | | 27 | 1430 | @guiltyparties | 0 | 1000 | 65536 | 3.000 HIVE | 0.059 HBD | True | True | | 28 | 580 | @quochuy | 0 | 1400 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | | 29 | 580 | @techcoderx | 0 | 1200 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | | 30 | 580 | @hextech | 0 | 1200 | 65536 | 3.000 HIVE | 0.059 HBD | False | True | If I run it again next month it might give me slightly different results.