150 lines
3.1 KiB
Plaintext
150 lines
3.1 KiB
Plaintext
重新 build
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sam build --no-cached
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启动本地 API：
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sam local start-api
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C:\workspace\AWS\accounting-system\layers\psycopg2\python
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如果你看到的是：
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bash-4.2#
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→ 这是 Amazon Linux 容器（正确）
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你必须看到 bash-4.2# 才能执行 yum。
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正确的データベース Host 是你的 NAS 内网 IP 地址
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Host: 192.168.0.61
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Port: 55432
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User: postgres
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Password: accounting123
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Database: accounting njts_acct
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DB_HOST=192.168.0.61
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DB_PORT=55432
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DB_NAME=njts_acct
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DB_USER=njts_app
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DB_PASSWORD=njts_app2025
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----------------------
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バージョン確認
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python --version
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pip --version
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where python
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where python 没有输出
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这是好事，不是坏事：
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说明：
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没有多个 python 冲突
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没有 WindowsApps / Microsoft Store 干扰
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PowerShell 里 python 能正常执行，PATH 已经是正确的
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👉 结论：Python 环境 = 教科书级干净
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create_njts_accounting_core.bat
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cd C:\workspace\njts-accounting-core\backend
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python -m venv .venv
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C:\workspace\njts-accounting-core\backend\.venv\pyvenv.cfg
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home = C:\Users\zxh_y\AppData\Local\Programs\Python\Python312
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include-system-site-packages = false
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version = 3.12.9
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executable = C:\Users\zxh_y\AppData\Local\Programs\Python\Python312\python.exe
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command = C:\Users\zxh_y\AppData\Local\Programs\Python\Python312\python.exe -m venv C:\workspace\njts-accounting-core\backend\.venv
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cd C:\workspace\njts-accounting-core\backend
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.venv\Scripts\activate
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uvicorn app.main:app --reload --host 127.0.0.1 --port 18080
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http://localhost:18080/docs
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backend\requirements.txt
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ーーーーーーーーーーーーー
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fastapi==0.115.6
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uvicorn[standard]==0.32.1
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ーーーーーーーーーーーー
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pip install -r requirements.txt
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backend\app\main.py
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ーーーーーーーーーー
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from fastapi import FastAPI
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app = FastAPI(
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title="NJTS Accounting Core API",
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description="日本小規模企業向け 会計システム",
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version="0.1.0"
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)
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@app.get("/")
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def root():
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return {
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"message": "NJTS Accounting Core API is running",
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"status": "ok"
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}
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pip install psycopg[binary]==3.2.3
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C:\workspace\njts-accounting-core\backend uvicorn app.main:app --reload --host 127.0.0.1 --port 18080
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version = 1：初始输入
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version >= 2：你改过
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updated_at：最后一次修改时间
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updated_reason：
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可空
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例如：金额修正、补录摘要、对账调整
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-------------------------------
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/volume1/docker/rc_ollama_bot/
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bot.py
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① 停掉并删除旧容器（非常关键）
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docker stop ollama-rc-bot
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docker rm ollama-rc-bot
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docker build --no-cache -t ollama-rc-bot .
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docker run -d --name ollama-rc-bot -p 5100:5005 ollama-rc-bot
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② 重新 build 镜像（必须）
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docker build --no-cache -t ollama-rc-bot .
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③ 重新启动容器
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docker run -d --name ollama-rc-bot -p 5100:5005 ollama-rc-bot
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④ 看日志，确认新代码真的在跑
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docker logs -f ollama-rc-bot
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--------------------
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先实时跟日志（非常重要）
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docker logs -f ollama-rc-bot
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再开一个窗口，重新 curl 一次
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curl -X POST http://127.0.0.1:5100/ollama \
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-H "Content-Type: application/json" \
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-d '{
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"text": "@ai 下午三点开会",
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"channel_id": "#Room"
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}'
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