workspace: initial commit - MEMORY, tasks, skills, memory

This commit is contained in:
Stream
2026-04-12 21:46:09 +03:00
parent 84cd63ce70
commit 256086e73e
224 changed files with 31654 additions and 0 deletions

View File

@@ -0,0 +1,116 @@
import json
import os
from datetime import datetime, timezone
import glob
def parse_iso(timestamp):
# Parse ISO timestamp with timezone
try:
dt = datetime.fromisoformat(timestamp.replace('Z', '+00:00'))
return dt
except Exception as e:
print(f'Error parsing {timestamp}: {e}')
return None
def process_session_file(path):
today = datetime(2026, 3, 22, tzinfo=timezone.utc)
total_input = 0
total_output = 0
total_cost = 0.0
model_counts = {}
with open(path, 'r') as f:
for line_num, line in enumerate(f, 1):
line = line.strip()
if not line:
continue
try:
data = json.loads(line)
except json.JSONDecodeError as e:
continue
# Check timestamp for today
timestamp = data.get('timestamp')
if not timestamp:
continue
dt = parse_iso(timestamp)
if not dt:
continue
if dt.date() != today.date():
continue
# We need messages with usage (assistant responses)
if data.get('type') == 'message':
msg = data.get('message', {})
if msg.get('role') == 'assistant' and 'usage' in msg:
usage = msg['usage']
input_tokens = usage.get('input', 0)
output_tokens = usage.get('output', 0)
cache_read = usage.get('cacheRead', 0)
cache_write = usage.get('cacheWrite', 0)
# cost may be inside usage['cost']
cost = usage.get('cost', {})
cost_total = cost.get('total', 0.0)
model = msg.get('model', 'unknown')
total_input += input_tokens
total_output += output_tokens
total_cost += cost_total
# Track per model
if model not in model_counts:
model_counts[model] = {'input': 0, 'output': 0, 'cost': 0.0}
model_counts[model]['input'] += input_tokens
model_counts[model]['output'] += output_tokens
model_counts[model]['cost'] += cost_total
return total_input, total_output, total_cost, model_counts
sessions_dir = '/home/node/.openclaw/agents/main/sessions'
jsonl_files = glob.glob(os.path.join(sessions_dir, '*.jsonl'))
print('📊 Сводка использования токенов за сегодня (2026-03-22)')
print('=' * 60)
overall_input = 0
overall_output = 0
overall_cost = 0.0
all_model_counts = {}
for file_path in jsonl_files:
file_name = os.path.basename(file_path)
print(f'\n📁 Файл сессии: {file_name}')
inp, out, cost, models = process_session_file(file_path)
print(f' Входные токены: {inp:,}')
print(f' Выходные токены: {out:,}')
print(f' Примерная стоимость: ${cost:.6f}')
if models:
for model, counts in models.items():
print(f' Модель: {model}')
print(f' вход: {counts[\"input\"]:,}, выход: {counts[\"output\"]:,}, стоимость: ${counts[\"cost\"]:.6f}')
# Aggregate across files
if model not in all_model_counts:
all_model_counts[model] = counts.copy()
else:
all_model_counts[model]['input'] += counts['input']
all_model_counts[model]['output'] += counts['output']
all_model_counts[model]['cost'] += counts['cost']
overall_input += inp
overall_output += out
overall_cost += cost
print('\n' + '=' * 60)
print('📈 ОБЩИЙ ИТОГ за сегодня:')
print(f' Всего входных токенов: {overall_input:,}')
print(f' Всего выходных токенов: {overall_output:,}')
print(f' Общая стоимость: ${overall_cost:.6f}')
print()
print('📋 По моделям:')
for model, counts in all_model_counts.items():
print(f'{model}')
print(f' вход: {counts[\"input\"]:,} токенов, выход: {counts[\"output\"]:,} токенов')
print(f' стоимость: ${counts[\"cost\"]:.6f}')
print()
print('💡 Примечание: стоимость может не включать кэшированные токены.')
print(' Данные основаны на записях сессий.')