File size: 8,378 Bytes
fa152ae | 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 | """
Common utilities.
"""
import asyncio
import base64
import re
from typing import Callable, TypeVar
import httpx
from cbh.api.account.dto import AccountType
from cbh.api.account.models import AccountModel
from cbh.api.common.dto import (
LeaderboardStatisticsPosition,
Scores,
OrderType,
SkillStatistics,
IDNamePicture,
)
from cbh.api.common.schemas import SkillsStatisticsResponse
from cbh.core.config import settings
T = TypeVar("T")
def calculate_avg_scores(reports: list) -> Scores:
if not reports:
return Scores(
communication=0,
activeListening=0,
conversation=0,
objection=0,
empathy=0,
final=0,
)
return Scores(
communication=round(sum(report.scores.communication for report in reports) / len(reports)),
activeListening=round(
sum(report.scores.activeListening for report in reports) / len(reports)
),
conversation=round(sum(report.scores.conversation for report in reports) / len(reports)),
objection=round(sum(report.scores.objection for report in reports) / len(reports)),
empathy=round(sum(report.scores.empathy for report in reports) / len(reports)),
final=round(sum(report.scores.final for report in reports) / len(reports)),
)
def form_user_stats(session_reports: list) -> dict[str, dict]:
user_stats = {}
for report in session_reports:
user_id = report.account.id
if user_id not in user_stats:
user_stats[user_id] = {
"account": report.account,
"reports": [],
"attempts": 0,
}
user_stats[user_id]["reports"].append(report)
user_stats[user_id]["attempts"] += 1
return user_stats
def leaderboard_sort_key(item: tuple, reverse: bool = False) -> tuple:
user_data, score = item
if reverse:
return -score, user_data["attempts"], user_data["account"].name.lower()
return score, -user_data["attempts"], user_data["account"].name.lower()
def build_leaderboard(
session_reports: list,
position_builder: Callable[[dict, Scores], T],
order: OrderType | None = None,
) -> list[T]:
user_stats = form_user_stats(session_reports)
user_scores = [
(user_data, calculate_avg_scores(user_data["reports"]).final)
for user_data in user_stats.values()
]
is_descending = order is None or order == OrderType.DESCENDING
sorted_users = sorted(
user_scores, key=lambda item: leaderboard_sort_key(item, reverse=is_descending)
)
leaderboard = []
for user_data, _ in sorted_users:
avg_scores = calculate_avg_scores(user_data["reports"])
leaderboard.append(position_builder(user_data, avg_scores))
return leaderboard
def build_leaderboard_simple(
session_reports: list,
pageSize: int | None = None,
pageIndex: int | None = None,
order: OrderType | None = None,
) -> list[LeaderboardStatisticsPosition]:
def position_builder(user_data: dict, avg_scores: Scores) -> LeaderboardStatisticsPosition:
return LeaderboardStatisticsPosition(
account=IDNamePicture(
id=user_data["account"].id,
name=user_data["account"].name,
pictureUrl=user_data["account"].pictureUrl,
),
scores=avg_scores,
)
leaderboard = build_leaderboard(session_reports, position_builder, order)
return paginate_list(leaderboard, pageSize, pageIndex)
def paginate_list(
items: list[T], page_size: int | None = None, page_index: int | None = None
) -> list[T]:
if page_size is None or page_index is None:
return items
return items[page_index * page_size : (page_index + 1) * page_size]
def form_additional_scenario_filter(account: AccountModel, allow_demo: bool = False):
from cbh.api.scenario.dto import AssigneesType, ScenarioStatus
filter_ = {"owner.organization.id": account.organization.id}
if account.accountType == AccountType.USER:
filter_.update(
{
"$or": [
{"assignees": {"$size": 0}},
{
"assignees": {
"$elemMatch": {
"type": AssigneesType.USER.value,
"account.id": account.id,
}
}
},
{
"assignees": {
"$elemMatch": {
"type": AssigneesType.TEAM.value,
"team.members": {"$elemMatch": {"id": account.id}},
}
}
},
],
"isTemplate": False,
"status": ScenarioStatus.ACTIVE.value,
}
)
if not allow_demo or account.accountType != AccountType.USER:
filter_.update(
{
"isDemo": False,
}
)
return filter_
async def convert_document_to_text(file: bytes, filename: str) -> str:
if filename.endswith(".txt"):
return file.decode("utf-8", errors="ignore")
filename = re.sub(r"[^\w\s.-]", "", filename)
base64_file = base64.b64encode(file).decode("utf-8")
headers = {"Content-Type": "application/json"}
data = {
"apikey": settings.CONVERTIO_API_KEY,
"input": "base64",
"file": base64_file,
"filename": filename,
"outputformat": "txt",
}
async with httpx.AsyncClient(timeout=httpx.Timeout(timeout=120)) as client:
response = await client.post("https://api.convertio.co/convert", json=data, headers=headers)
response = response.json()
if response["code"] == 200:
conversion_id = response["data"]["id"]
status = ""
attempt = 0
while status != "finish":
if attempt > 50:
raise Exception("Please, try again")
get_status_response = await client.get(
f"https://api.convertio.co/convert/{conversion_id}/status"
)
get_status_response = get_status_response.json()
if get_status_response["code"] != 200:
raise Exception("Please, try again")
else:
status = get_status_response["data"]["step"]
await asyncio.sleep(1)
attempt += 1
file_url = get_status_response["data"]["output"]["url"]
response = await client.get(file_url)
response.raise_for_status()
return response.content.decode("utf-8", errors="ignore")
else:
return ""
def calculate_skills_statistics(session_reports: list) -> SkillsStatisticsResponse:
"""
Calculate team skills statistics.
"""
if not session_reports:
empty_skill = SkillStatistics(score=0, bestAccount=None)
return SkillsStatisticsResponse(
communication=empty_skill,
activeListening=empty_skill,
conversation=empty_skill,
objection=empty_skill,
empathy=empty_skill,
final=0,
)
avg_scores = calculate_avg_scores(session_reports)
skills = ["communication", "activeListening", "conversation", "objection", "empathy"]
skill_stats = {}
for skill in skills:
best_report = sorted(
session_reports,
key=lambda r, s=skill: (getattr(r.scores, s), r.datetimeInserted.timestamp()),
reverse=True,
)[0]
skill_stats[skill] = SkillStatistics(
score=getattr(avg_scores, skill),
bestAccount=IDNamePicture(
id=best_report.account.id,
name=best_report.account.name,
pictureUrl=best_report.account.pictureUrl,
),
)
return SkillsStatisticsResponse(
communication=skill_stats["communication"],
activeListening=skill_stats["activeListening"],
conversation=skill_stats["conversation"],
objection=skill_stats["objection"],
empathy=skill_stats["empathy"],
final=avg_scores.final,
)
|