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iAs/resources/skills/query_weather/scripts/weather.sh
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wunianxiao b9de3665d9 feat: iPet → iAs 完整迁移,Rust 版微信 AI 助手
Phase 1  CLI 框架 + 配置系统
  - clap 子命令: login / listen / send / whoami / usage
  - config.json + env var 替换
  - tracing 日志系统
  - state 持久化(auth/runtime 文件存 + PostgreSQL)

Phase 2  微信通道
  - wechat::client — 完整 iLink Bot HTTP API 实现
  - 扫码登录(终端二维码 + 轮询状态)
  - 长轮询 getupdates / 消息收发 / 监听注册

Phase 3  AI 对话(纯文本 + function calling)
  - LlmProvider trait: DeepSeek + LM Studio 实现
  - SSE 流式解析(text / reasoning / tool_calls delta / usage)
  - Conversation: 消息历史 + chat / chat_with_tools 工具循环

Phase 4  PostgreSQL 集成
  - app_state(认证 KV 存储)
  - chat_records(消息收发记录)
  - llm_usage(Token 用量统计缓存命中率)
  - user_memories(长期记忆持久化)
  - pending_approvals(审批确认码)
  - scheduled_tasks(定时任务表)

Phase 5  一切皆 Skill(工具系统)
  - SkillRegistry: 系统 + 用户 skills 双目录合并
  - SKILL.md 解析器 + 子进程执行器(stdin JSON → stdout)
  - 9 个系统 Skills: datetime / weather / search / email /
    shell / schedule / memos / read_memories / read_summaries
  - ApprovalManager: High 风险技能 → 确认码审批(透明模式)
  - High 风险技能:确认码审批(透明模式)

Phase 6  定时任务调度器

上下文管理
  - ChatSession: checkpoint + token budget (28K) + summaries
  - Token 估算器(中英文自适应)
  - 12h 空闲 → trigger_idle_summary(不入会话)
  - Budget 溢出 → trigger_overflow_summary(入会话 + drain 旧消息)
  - Summarizer: LLM 生成自然语言摘要(fallback 简单截断)
  - 长期记忆 / 摘要 通过 read_memories / read_summaries 工具按需读取

工具调用日志 + Token 统计
  - INFO: 工具名 + 参数 + 结果摘要
  - DEBUG: 子进程 exit/stdout/stderr
  - ias usage --since --until --model 查看用量和缓存命中率
2026-06-01 17:21:43 +08:00

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#!/bin/bash
# 和风天气查询脚本
# 读取 stdin JSON: {"location":"北京","days":3}
read -r input
LOCATION=$(echo "$input" | python3 -c "
import sys, json
d = json.load(sys.stdin)
print(d.get('location', ''))
" 2>/dev/null)
DAYS=$(echo "$input" | python3 -c "
import sys, json
d = json.load(sys.stdin)
print(d.get('days', 3))
" 2>/dev/null)
if [ -z "$LOCATION" ]; then
echo "请提供 location 参数"
exit 1
fi
# 从环境变量读取配置
API_HOST="${QWEATHER_API_HOST}"
KEY_ID="${QWEATHER_JWT_KEY_ID}"
PROJECT_ID="${QWEATHER_JWT_PROJECT_ID}"
KEY_FILE="${QWEATHER_JWT_PRIVATE_KEY_FILE:-qweather/ed25519-private.pem}"
TTL="${QWEATHER_JWT_TTL_SECONDS:-3600}"
if [ -z "$API_HOST" ]; then
echo "请设置 QWEATHER_API_HOST 环境变量"
exit 1
fi
# 生成 JWT(使用 python3
JWT=$(python3 -c "
import json, time, base64, struct, sys
from pathlib import Path
key_id = '$KEY_ID'
project_id = '$PROJECT_ID'
key_file = '$KEY_FILE'
ttl = int('$TTL')
if not key_id or not project_id:
sys.exit(0)
# Read Ed25519 private key
key_path = Path(key_file)
if not key_path.exists():
sys.exit(0)
key_data = key_path.read_text()
# Simple base64url
def b64url(data):
return base64.urlsafe_b64encode(data).rstrip(b'=').decode()
# Extract raw key bytes from PEM
import re
pem_match = re.search(r'-----BEGIN PRIVATE KEY-----\\s*(.*?)\\s*-----END PRIVATE KEY-----', key_data, re.DOTALL)
if not pem_match:
sys.exit(0)
der = base64.b64decode(pem_match.group(1))
# PKCS8 Ed25519 private key: last 32 bytes are the seed
seed = der[-32:]
from hashlib import sha512
h = sha512(seed).digest()
a = bytearray(h[:32])
a[0] &= 248
a[31] &= 127
a[31] |= 64
# Sign using RFC 8032
def ed25519_sign(message, seed_bytes):
h = sha512(seed_bytes).digest()
a = bytearray(h[:32])
a[0] &= 248
a[31] &= 127
a[31] |= 64
r = sha512(bytes(a[32:]) + message).digest()
R = _sc_reduce(r)
R_bytes = _sc_mul_base(R)
S = _sc_add(R, _sc_mul(_sc_reduce(sha512(bytes(R_bytes) + bytes(a) + message).digest()), _sc_reduce(bytes(a))))
return bytes(R_bytes) + _sc_encode(S)
# Skipping full impl - use openssl instead
print('')
" 2>/dev/null)
# If python3 JWT failed, try openssl
if [ -z "$JWT" ]; then
NOW=$(date +%s)
IAT=$((NOW - 30))
EXP=$((NOW + TTL))
HEADER=$(echo -n '{"alg":"EdDSA","kid":"'"$KEY_ID"'"}' | base64 -w0 | tr '+/' '-_' | tr -d '=')
PAYLOAD=$(echo -n '{"sub":"'"$PROJECT_ID"'","iat":'"$IAT"',"exp":'"$EXP"'}' | base64 -w0 | tr '+/' '-_' | tr -d '=')
SIGNING_INPUT="${HEADER}.${PAYLOAD}"
# Try openssl pkeyutl (OpenSSL >= 3.0, needs temp file for -rawin)
TMPFILE=$(mktemp)
echo -n "$SIGNING_INPUT" > "$TMPFILE"
SIGNATURE=$(openssl pkeyutl -sign -inkey "$KEY_FILE" -rawin -in "$TMPFILE" 2>/dev/null | base64 -w0 | tr '+/' '-_' | tr -d '=') || true
rm -f "$TMPFILE"
if [ -z "$SIGNATURE" ]; then
# Fallback: try older openssl
SIGNATURE=$(echo -n "$SIGNING_INPUT" | openssl dgst -sign "$KEY_FILE" -keyform PEM -sha512 2>/dev/null | base64 -w0 | tr '+/' '-_' | tr -d '=') || true
fi
if [ -n "$SIGNATURE" ]; then
JWT="${SIGNING_INPUT}.${SIGNATURE}"
fi
fi
# Try env var JWT as fallback
if [ -z "$JWT" ]; then
JWT="${QWEATHER_JWT}"
fi
if [ -z "$JWT" ]; then
echo "无法生成 QWeather JWT,请检查 QWEATHER_JWT_KEY_ID/QWEATHER_JWT_PROJECT_ID/QWEATHER_JWT_PRIVATE_KEY_FILE 配置"
exit 1
fi
# 查询城市 ID
CITY_RESP=$(curl -s --compressed "https://geoapi.qweather.com/v2/city/lookup?location=$(echo -n "$LOCATION" | python3 -c "import sys,urllib.parse; print(urllib.parse.quote(sys.stdin.read().strip()))")" -H "Authorization: Bearer $JWT")
CITY_ID=$(echo "$CITY_RESP" | python3 -c "import sys,json; d=json.load(sys.stdin); print(d['location'][0]['id'] if d.get('location') else '')" 2>/dev/null)
if [ -z "$CITY_ID" ]; then
echo "未找到城市: $LOCATION"
exit 1
fi
# 查询实况天气
NOW_RESP=$(curl -s --compressed "https://${API_HOST}/v7/weather/now?location=${CITY_ID}&lang=zh&unit=m" -H "Authorization: Bearer $JWT")
NOW_TEMP=$(echo "$NOW_RESP" | python3 -c "import sys,json; d=json.load(sys.stdin); print(f\"{d['now']['temp']}°C, {d['now']['text']}\")" 2>/dev/null)
# 查询预报(最多7天)
ENDPOINT_DAYS=$DAYS
[ "$DAYS" -gt 3 ] && ENDPOINT_DAYS=7
[ "$DAYS" -le 3 ] && ENDPOINT_DAYS=3
DAILY_RESP=$(curl -s --compressed "https://${API_HOST}/v7/weather/${ENDPOINT_DAYS}d?location=${CITY_ID}&lang=zh&unit=m" -H "Authorization: Bearer $JWT")
FORECAST=$(echo "$DAILY_RESP" | python3 -c "
import sys, json
d = json.load(sys.stdin)
days = d.get('daily', [])[:int('$DAYS')]
lines = ['未来天气:']
for day in days:
lines.append(f\" {day['fxDate']}: {day['textDay']} {day['tempMin']}~{day['tempMax']}°C\")
print('\\n'.join(lines))
" 2>/dev/null)
echo "${LOCATION}天气: 当前 ${NOW_TEMP}"
echo ""
echo "$FORECAST"