mirror of
https://github.com/titanscouting/tra-superscript.git
synced 2024-12-29 02:59:08 +00:00
pull some data from API, fix some datatype compats
This commit is contained in:
Dev Singh
parent
3669712bec
commit
03ec0dd8fd
@ -8,76 +8,130 @@ from interface import stderr, stdout, INF, ERR
|
||||
|
||||
config_path = "config.json"
|
||||
|
||||
sample_json = """{
|
||||
"persistent":{
|
||||
"key":{
|
||||
"database":"",
|
||||
"tba":""
|
||||
},
|
||||
"config-preference":"local",
|
||||
"synchronize-config":false
|
||||
},
|
||||
"variable":{
|
||||
sample_json = """
|
||||
{
|
||||
"persistent":{
|
||||
"key":{
|
||||
"database":"",
|
||||
"tba":"",
|
||||
"tra":{
|
||||
"CLIENT_ID":"",
|
||||
"CLIENT_SECRET":""
|
||||
}
|
||||
},
|
||||
"config-preference":"local",
|
||||
"synchronize-config":false
|
||||
},
|
||||
"variable":{
|
||||
"max-threads":0.5,
|
||||
"team":"",
|
||||
"event-delay":false,
|
||||
"loop-delay":0,
|
||||
"reportable":true,
|
||||
"teams":[
|
||||
|
||||
"max-threads":0.5,
|
||||
|
||||
"competition":"",
|
||||
"team":"",
|
||||
|
||||
"event-delay":false,
|
||||
"loop-delay":0,
|
||||
"reportable":true,
|
||||
|
||||
"teams":[],
|
||||
|
||||
"modules":{
|
||||
|
||||
"match":{
|
||||
"tests":{
|
||||
"balls-blocked":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
|
||||
"balls-collected":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
|
||||
"balls-lower-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
|
||||
"balls-lower-auto":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
|
||||
"balls-started":["basic_stats","historical_analyss","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
|
||||
"balls-upper-teleop":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"],
|
||||
"balls-upper-auto":["basic_stats","historical_analysis","regression_linear","regression_logarithmic","regression_exponential","regression_polynomial","regression_sigmoidal"]
|
||||
}
|
||||
|
||||
},
|
||||
|
||||
"metric":{
|
||||
"tests":{
|
||||
"elo":{
|
||||
"score":1500,
|
||||
"N":400,
|
||||
"K":24
|
||||
},
|
||||
"gl2":{
|
||||
"score":1500,
|
||||
"rd":250,
|
||||
"vol":0.06
|
||||
},
|
||||
"ts":{
|
||||
"mu":25,
|
||||
"sigma":8.33
|
||||
}
|
||||
}
|
||||
},
|
||||
|
||||
"pit":{
|
||||
"tests":{
|
||||
"wheel-mechanism":true,
|
||||
"low-balls":true,
|
||||
"high-balls":true,
|
||||
"wheel-success":true,
|
||||
"strategic-focus":true,
|
||||
"climb-mechanism":true,
|
||||
"attitude":true
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}"""
|
||||
],
|
||||
"modules":{
|
||||
"match":{
|
||||
"tests":{
|
||||
"balls-blocked":[
|
||||
"basic_stats",
|
||||
"historical_analysis",
|
||||
"regression_linear",
|
||||
"regression_logarithmic",
|
||||
"regression_exponential",
|
||||
"regression_polynomial",
|
||||
"regression_sigmoidal"
|
||||
],
|
||||
"balls-collected":[
|
||||
"basic_stats",
|
||||
"historical_analysis",
|
||||
"regression_linear",
|
||||
"regression_logarithmic",
|
||||
"regression_exponential",
|
||||
"regression_polynomial",
|
||||
"regression_sigmoidal"
|
||||
],
|
||||
"balls-lower-teleop":[
|
||||
"basic_stats",
|
||||
"historical_analysis",
|
||||
"regression_linear",
|
||||
"regression_logarithmic",
|
||||
"regression_exponential",
|
||||
"regression_polynomial",
|
||||
"regression_sigmoidal"
|
||||
],
|
||||
"balls-lower-auto":[
|
||||
"basic_stats",
|
||||
"historical_analysis",
|
||||
"regression_linear",
|
||||
"regression_logarithmic",
|
||||
"regression_exponential",
|
||||
"regression_polynomial",
|
||||
"regression_sigmoidal"
|
||||
],
|
||||
"balls-started":[
|
||||
"basic_stats",
|
||||
"historical_analyss",
|
||||
"regression_linear",
|
||||
"regression_logarithmic",
|
||||
"regression_exponential",
|
||||
"regression_polynomial",
|
||||
"regression_sigmoidal"
|
||||
],
|
||||
"balls-upper-teleop":[
|
||||
"basic_stats",
|
||||
"historical_analysis",
|
||||
"regression_linear",
|
||||
"regression_logarithmic",
|
||||
"regression_exponential",
|
||||
"regression_polynomial",
|
||||
"regression_sigmoidal"
|
||||
],
|
||||
"balls-upper-auto":[
|
||||
"basic_stats",
|
||||
"historical_analysis",
|
||||
"regression_linear",
|
||||
"regression_logarithmic",
|
||||
"regression_exponential",
|
||||
"regression_polynomial",
|
||||
"regression_sigmoidal"
|
||||
]
|
||||
}
|
||||
},
|
||||
"metric":{
|
||||
"tests":{
|
||||
"elo":{
|
||||
"score":1500,
|
||||
"N":400,
|
||||
"K":24
|
||||
},
|
||||
"gl2":{
|
||||
"score":1500,
|
||||
"rd":250,
|
||||
"vol":0.06
|
||||
},
|
||||
"ts":{
|
||||
"mu":25,
|
||||
"sigma":8.33
|
||||
}
|
||||
}
|
||||
},
|
||||
"pit":{
|
||||
"tests":{
|
||||
"wheel-mechanism":true,
|
||||
"low-balls":true,
|
||||
"high-balls":true,
|
||||
"wheel-success":true,
|
||||
"strategic-focus":true,
|
||||
"climb-mechanism":true,
|
||||
"attitude":true
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
"""
|
||||
|
||||
class ConfigurationError (Exception):
|
||||
code = None
|
||||
@ -139,23 +193,17 @@ def parse_config_variable(send, config):
|
||||
raise ConfigurationError("unable to start threads", 200)
|
||||
send(stdout, INF, "successfully initialized " + str(alloc_processes) + " threads")
|
||||
|
||||
try:
|
||||
competition = config["variable"]["competition"]
|
||||
except:
|
||||
raise ConfigurationError("variable/competition field is invalid or missing", 101)
|
||||
try:
|
||||
modules = config["variable"]["modules"]
|
||||
except:
|
||||
raise ConfigurationError("variable/modules field is invalid or missing", 102)
|
||||
|
||||
if competition == None or competition == "":
|
||||
raise ConfigurationError("variable/competition field is empty", 105)
|
||||
if modules == None:
|
||||
raise ConfigurationError("variable/modules field is empty", 106)
|
||||
|
||||
send(stdout, INF, "found and loaded competition, match, metrics, pit from config")
|
||||
|
||||
return exec_threads, competition, modules
|
||||
return exec_threads, modules
|
||||
|
||||
def resolve_config_conflicts(send, client, config, preference, sync):
|
||||
|
||||
|
||||
@ -1,4 +1,6 @@
|
||||
import requests
|
||||
import pull
|
||||
import pandas as pd
|
||||
|
||||
def pull_new_tba_matches(apikey, competition, cutoff):
|
||||
api_key= apikey
|
||||
@ -13,7 +15,7 @@ def get_team_match_data(client, competition, team_num):
|
||||
db = client.data_scouting
|
||||
mdata = db.matchdata
|
||||
out = {}
|
||||
for i in mdata.find({"competition" : competition, "team_scouted": team_num}):
|
||||
for i in mdata.find({"competition" : competition, "team_scouted": str(team_num)}):
|
||||
out[i['match']] = i['data']
|
||||
return pd.DataFrame(out)
|
||||
|
||||
@ -21,7 +23,7 @@ def get_team_pit_data(client, competition, team_num):
|
||||
db = client.data_scouting
|
||||
mdata = db.pitdata
|
||||
out = {}
|
||||
return mdata.find_one({"competition" : competition, "team_scouted": team_num})["data"]
|
||||
return mdata.find_one({"competition" : competition, "team_scouted": str(team_num)})["data"]
|
||||
|
||||
def get_team_metrics_data(client, competition, team_num):
|
||||
db = client.data_processing
|
||||
@ -29,25 +31,21 @@ def get_team_metrics_data(client, competition, team_num):
|
||||
return mdata.find_one({"competition" : competition, "team": team_num})
|
||||
|
||||
def get_match_data_formatted(client, competition):
|
||||
db = client.data_scouting
|
||||
mdata = db.teamlist
|
||||
x=mdata.find_one({"competition":competition})
|
||||
teams_at_comp = pull.get_teams_at_competition(competition)
|
||||
out = {}
|
||||
for i in x:
|
||||
for team in teams_at_comp:
|
||||
try:
|
||||
out[int(i)] = unkeyify_2l(get_team_match_data(client, competition, int(i)).transpose().to_dict())
|
||||
out[int(team)] = unkeyify_2l(get_team_match_data(client, competition, team).transpose().to_dict())
|
||||
except:
|
||||
pass
|
||||
return out
|
||||
|
||||
def get_metrics_data_formatted(client, competition):
|
||||
db = client.data_scouting
|
||||
mdata = db.teamlist
|
||||
x=mdata.find_one({"competition":competition})
|
||||
teams_at_comp = pull.get_teams_at_competition(competition)
|
||||
out = {}
|
||||
for i in x:
|
||||
for team in teams_at_comp:
|
||||
try:
|
||||
out[int(i)] = get_team_metrics_data(client, competition, int(i))
|
||||
out[int(team)] = get_team_metrics_data(client, competition, int(team))
|
||||
except:
|
||||
pass
|
||||
return out
|
||||
|
||||
5
src/cli/exceptions.py
Normal file
5
src/cli/exceptions.py
Normal file
@ -0,0 +1,5 @@
|
||||
class APIError(Exception):
|
||||
code = None
|
||||
def __init__(self, str, endpoint):
|
||||
super().__init__(str)
|
||||
self.endpoint = endpoint
|
||||
66
src/cli/pull.py
Normal file
66
src/cli/pull.py
Normal file
@ -0,0 +1,66 @@
|
||||
import requests
|
||||
import json
|
||||
from exceptions import APIError
|
||||
|
||||
def load_config(path):
|
||||
with open(path, "r") as f:
|
||||
return json.load(f)
|
||||
|
||||
url = "https://titanscouting.epochml.org"
|
||||
config_tra = load_config("config.json")
|
||||
trakey = config_tra['persistent']['key']['tra']
|
||||
|
||||
def get_team_competition():
|
||||
endpoint = '/api/fetchTeamCompetition'
|
||||
params = {
|
||||
"CLIENT_ID": trakey['CLIENT_ID'],
|
||||
"CLIENT_SECRET": trakey['CLIENT_SECRET']
|
||||
}
|
||||
response = requests.request("GET", url + endpoint, params=params)
|
||||
json = response.json()
|
||||
if json['success']:
|
||||
return json['competition']
|
||||
else:
|
||||
raise APIError(json, endpoint)
|
||||
|
||||
def get_team():
|
||||
endpoint = '/api/fetchTeamCompetition'
|
||||
params = {
|
||||
"CLIENT_ID": trakey['CLIENT_ID'],
|
||||
"CLIENT_SECRET": trakey['CLIENT_SECRET']
|
||||
}
|
||||
response = requests.request("GET", url + endpoint, params=params)
|
||||
json = response.json()
|
||||
if json['success']:
|
||||
return json['team']
|
||||
else:
|
||||
raise APIError(json, endpoint)
|
||||
|
||||
def get_team_match_data(competition, team_num):
|
||||
endpoint = '/api/fetchAllTeamMatchData'
|
||||
params = {
|
||||
"competition": competition,
|
||||
"teamScouted": team_num,
|
||||
"CLIENT_ID": trakey['CLIENT_ID'],
|
||||
"CLIENT_SECRET": trakey['CLIENT_SECRET']
|
||||
}
|
||||
response = requests.request("GET", url + endpoint, params=params)
|
||||
json = response.json()
|
||||
if json['success']:
|
||||
return json['data'][team_num]
|
||||
else:
|
||||
raise APIError(json, endpoint)
|
||||
|
||||
def get_teams_at_competition(competition):
|
||||
endpoint = '/api/fetchAllTeamNicknamesAtCompetition'
|
||||
params = {
|
||||
"competition": competition,
|
||||
"CLIENT_ID": trakey['CLIENT_ID'],
|
||||
"CLIENT_SECRET": trakey['CLIENT_SECRET']
|
||||
}
|
||||
response = requests.request("GET", url + endpoint, params=params)
|
||||
json = response.json()
|
||||
if json['success']:
|
||||
return list(json['data'].keys())
|
||||
else:
|
||||
raise APIError(json, endpoint)
|
||||
@ -160,7 +160,7 @@ import time
|
||||
import traceback
|
||||
import warnings
|
||||
import zmq
|
||||
|
||||
import pull
|
||||
from config import parse_config_persistent, parse_config_variable, resolve_config_conflicts, load_config, save_config, ConfigurationError
|
||||
from data import get_previous_time, set_current_time, check_new_database_matches
|
||||
from interface import splash, log, ERR, INF, stdout, stderr
|
||||
@ -214,8 +214,8 @@ def main(send, verbose = False, profile = False, debug = False):
|
||||
|
||||
config = resolve_config_conflicts(send, client, config, preference, sync)
|
||||
|
||||
exec_threads, competition, config_modules = parse_config_variable(send, config)
|
||||
|
||||
exec_threads, config_modules = parse_config_variable(send, config)
|
||||
competition = pull.get_team_competition()
|
||||
for m in config_modules:
|
||||
if m in modules:
|
||||
start = time.time()
|
||||
|
||||
Loading…
Reference in New Issue
Block a user