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Python 统一 U0-U4:venv py3.12.13 + 四树 cp312 重编译 + 端口互换 8091/8092/8093 + 旧服务停而不删

Browse Source 
- U0:新建 plantai-rag-new-venv(3.12.13,130 包),torch 2.13.0+cpu/cython 3.2.8/faiss 1.14.3/openai 3.3.1,requirements.lock 固化
- U1:四树全 venv 重编译(sdk 15/qa 45/methodology 28/legacy 283 .so 全 cp312),audit 双审计过
- U2:备用端口影子对照:金标 search evidence 30/30 与生产一致、SDK pytest 125 过、五上游绿
- U3:统一树切终态 8091/8092/8093 + BFF 8090(venv),停旧服务(容器/进程不删,30 天窗)
- U4:minerupy311→minerupy312 断链修复、GF_PYTHON_ENV 回退统一、start-dev/run/bff_restart 去 conda、server.env/README 更新

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
jerry
2026-09-01 12:23:37 +08:00
co-authored by Claude Fable 5
parent 4bfd86930a
commit 4071b29520
19 changed files with 189 additions and 63 deletions
Download Patch File Download Diff File Expand all files Collapse all files
agent/README.md
+3 -3
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@@ -2,9 +2,9 @@
| 目录 | 服务 | 端口 | 入口(白名单明文) | conda |
|---|---|---|---|---|
| qa/ | QA V1.1.73 断言锚定检索 | 8091(浸泡影子 7921) | scripts/qa_v1_1_73_server.py | gfpy312 |
| methodology/ | Methodology 提取 | 8092(浸泡影子 8001) | scripts/methodology_server.py | gfpy312 |
| legacy-rag/ | 旧路由族(app 3 路由/main 11 族) | 8093(浸泡影子 7911) | api/app.py | plantai-bff |
| qa/ | QA V1.1.73 断言锚定检索 | 8091 | scripts/qa_v1_1_73_server.py | plantai-rag-new-venv |
| methodology/ | Methodology 提取 | 8092 | scripts/methodology_server.py | plantai-rag-new-venv |
| legacy-rag/ | 旧路由族(app 3 路由/main 11 族) | 8093 | api/app.py | plantai-rag-new-venv |
| vendor/ | 共享源码池(非服务) | — | — | — |
约束：仅 shell 启动(`scripts/{start,stop,status,restart}.sh`)；编译产物 `.so` 隐藏源码；`compile.manifest` 记录模块级白名单。vendor 为源码单份，编译时复制进各 agent 暂存目录。
agent/legacy-rag/api/methodology_routes.py
+2 -2
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@@ -32,7 +32,7 @@ REVIEW_RESULTS_CSV = BATCH_DIR / "review_results.csv"
# 2026-08-31 新工程适配:上传目录/产出根支持 env 覆盖
UPLOAD_JOBS_DIR = Path(os.environ.get("METHODOLOGY_UPLOAD_JOBS_DIR", PROJECT_ROOT / "data" / "evaluation" / "methodology_upload_jobs"))
UPLOAD_OUTPUT_ROOT = Path(os.environ.get("METHODOLOGY_UPLOAD_OUTPUT_ROOT", PROJECT_ROOT / "data" / "evaluation" / "0505"))
DEFAULT_MINERU_CMD = str(conda_env_path("minerupy311") / "bin" / "mineru")
DEFAULT_MINERU_CMD = str(conda_env_path("minerupy312") / "bin" / "mineru")
DEFAULT_MINERU_API_URL = "http://127.0.0.1:50215"
DEFAULT_MINERU_BACKEND = "hybrid-auto-engine"
DEFAULT_MINERU_METHOD = "auto"
@@ -554,7 +554,7 @@ def run_uploaded_methodology_job(
}
)
batch_cmd = [
str(conda_env_path(os.environ.get("GF_PYTHON_ENV", "gfpy312")) / "bin" / "python"),
str(conda_env_path(os.environ.get("GF_PYTHON_ENV", "/home/xzq/5090/teamWorkspace/zh/plantai-rag-new-venv")) / "bin" / "python"),
"scripts/run_methodology_batch.py",
"--papers",
str(papers_csv),
agent/legacy-rag/scripts/restart.sh
+1 -1
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@@ -2,6 +2,6 @@
# agent/legacy/scripts/restart.sh —— 重启(停 → 起)
set -euo pipefail
AGENT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
PORT="${1:-7920}"
PORT="${1:-8093}"
bash "$AGENT_ROOT/scripts/stop.sh" "$PORT" || true
bash "$AGENT_ROOT/scripts/start.sh" "$PORT"
agent/legacy-rag/scripts/start.sh
+3 -3
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@@ -1,15 +1,15 @@
#!/usr/bin/env bash
# agent/legacy-rag/scripts/start.sh —— 旧路由族服务唯一启动接口
main]|main]
# 用法:bash scripts/start.sh [port] [app|main]
# app = 3 路由(生产 7900 同源,默认) / main = 11 路由裁剪版
set -euo pipefail
AGENT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
PORT="${1:-8093}" # 终态端口(浸泡期显式传 7911)
PORT="${1:-8093}" # 终态端口
ENTRY="${2:-app}"
ENV_FILE="${LEGACY_ENV_FILE:-$AGENT_ROOT/env/prod.env}"
LOG_FILE="${LEGACY_LOG_FILE:-/tmp/plantai-agent-legacy-$PORT.log}"
PID_FILE="$AGENT_ROOT/run/legacy-$PORT.pid"
PYTHON="${LEGACY_PYTHON:-/home/xzq/miniconda3/envs/test4py311/bin/python}"
PYTHON="${LEGACY_PYTHON:-/home/xzq/5090/teamWorkspace/zh/plantai-rag-new-venv/bin/python}"
BIND="${LEGACY_API_HOST:-127.0.0.1}"
case "$ENTRY" in
agent/legacy-rag/scripts/stop.sh
+1 -1
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@@ -2,7 +2,7 @@
# agent/legacy/scripts/stop.sh —— 停止 legacy-rag 服务(停而不删,保留日志/pid 供回滚诊断)
set -euo pipefail
AGENT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
PORT="${1:-7920}"
PORT="${1:-8093}"
PID_FILE="$AGENT_ROOT/run/legacy-$PORT.pid"
if [[ -f "$PID_FILE" ]]; then
PID="$(cat "$PID_FILE")"
agent/methodology/api/methodology_routes.py
+2 -2
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@@ -32,7 +32,7 @@ REVIEW_RESULTS_CSV = BATCH_DIR / "review_results.csv"
# 2026-08-31 新工程适配:上传目录/产出根支持 env 覆盖(数据根迁移时无需改代码)
UPLOAD_JOBS_DIR = Path(os.environ.get("METHODOLOGY_UPLOAD_JOBS_DIR", PROJECT_ROOT / "data" / "evaluation" / "methodology_upload_jobs"))
UPLOAD_OUTPUT_ROOT = Path(os.environ.get("METHODOLOGY_UPLOAD_OUTPUT_ROOT", PROJECT_ROOT / "data" / "evaluation" / "0505"))
DEFAULT_MINERU_CMD = str(conda_env_path("minerupy311") / "bin" / "mineru")
DEFAULT_MINERU_CMD = str(conda_env_path("minerupy312") / "bin" / "mineru")
DEFAULT_MINERU_API_URL = "http://127.0.0.1:50215"
DEFAULT_MINERU_BACKEND = "hybrid-auto-engine"
DEFAULT_MINERU_METHOD = "auto"
@@ -554,7 +554,7 @@ def run_uploaded_methodology_job(
}
)
batch_cmd = [
str(conda_env_path(os.environ.get("GF_PYTHON_ENV", "gfpy312")) / "bin" / "python"),
str(conda_env_path(os.environ.get("GF_PYTHON_ENV", "/home/xzq/5090/teamWorkspace/zh/plantai-rag-new-venv")) / "bin" / "python"),
"scripts/run_methodology_batch.py",
"--papers",
str(papers_csv),
agent/methodology/scripts/restart.sh
+1 -1
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@@ -2,6 +2,6 @@
# agent/methodology/scripts/restart.sh —— 重启(停 → 起)
set -euo pipefail
AGENT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
PORT="${1:-7920}"
PORT="${1:-8092}"
bash "$AGENT_ROOT/scripts/stop.sh" "$PORT" || true
bash "$AGENT_ROOT/scripts/start.sh" "$PORT"
agent/methodology/scripts/start.sh
+2 -2
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@@ -3,11 +3,11 @@
# 用法：bash scripts/start.sh [port] （默认 8092 终态；浸泡期影子用 8001）
set -euo pipefail
AGENT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
PORT="${1:-8092}" # 终态端口(浸泡期显式传 8001)
PORT="${1:-8092}" # 终态端口
ENV_FILE="${METHODOLOGY_ENV_FILE:-$AGENT_ROOT/env/prod.env}"
LOG_FILE="${METHODOLOGY_LOG_FILE:-/tmp/plantai-agent-methodology-$PORT.log}"
PID_FILE="$AGENT_ROOT/run/methodology-$PORT.pid"
PYTHON="${METHODOLOGY_PYTHON:-/home/xzq/miniconda3/envs/gfpy312/bin/python}"
PYTHON="${METHODOLOGY_PYTHON:-/home/xzq/5090/teamWorkspace/zh/plantai-rag-new-venv/bin/python}"
BIND="${METHODOLOGY_API_HOST:-0.0.0.0}"
mkdir -p "$AGENT_ROOT/run"
agent/methodology/scripts/stop.sh
+1 -1
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@@ -2,7 +2,7 @@
# agent/methodology/scripts/stop.sh —— 停止 Methodology 服务(停而不删,保留日志/pid 供回滚诊断)
set -euo pipefail
AGENT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
PORT="${1:-7920}"
PORT="${1:-8092}"
PID_FILE="$AGENT_ROOT/run/methodology-$PORT.pid"
if [[ -f "$PID_FILE" ]]; then
PID="$(cat "$PID_FILE")"
agent/qa/scripts/restart.sh
+1 -1
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@@ -2,6 +2,6 @@
# agent/qa/scripts/restart.sh —— 重启(停 → 起)
set -euo pipefail
AGENT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
PORT="${1:-7920}"
PORT="${1:-8091}"
bash "$AGENT_ROOT/scripts/stop.sh" "$PORT" || true
bash "$AGENT_ROOT/scripts/start.sh" "$PORT"
agent/qa/scripts/start.sh
+2 -2
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@@ -3,11 +3,11 @@
# 用法：bash scripts/start.sh [port] （默认 8091 终态；浸泡期影子用 7921）
set -euo pipefail
AGENT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
PORT="${1:-8091}" # 终态端口(浸泡期显式传 7921)
PORT="${1:-8091}" # 终态端口
ENV_FILE="${QA_ENV_FILE:-$AGENT_ROOT/env/prod.env}"
LOG_FILE="${QA_LOG_FILE:-/tmp/plantai-agent-qa-$PORT.log}"
PID_FILE="$AGENT_ROOT/run/qa-$PORT.pid"
PYTHON="${QA_PYTHON:-/home/xzq/miniconda3/envs/gfpy312/bin/python}"
PYTHON="${QA_PYTHON:-/home/xzq/5090/teamWorkspace/zh/plantai-rag-new-venv/bin/python}"
mkdir -p "$AGENT_ROOT/run"
[[ -x "$PYTHON" ]] || { echo "QA Python 不可执行: $PYTHON" >&2; exit 1; }
agent/qa/scripts/stop.sh
+1 -1
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@@ -2,7 +2,7 @@
# agent/qa/scripts/stop.sh —— 停止 QA 服务(停而不删,保留日志/pid 供回滚诊断)
set -euo pipefail
AGENT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
PORT="${1:-7920}"
PORT="${1:-8091}"
PID_FILE="$AGENT_ROOT/run/qa-$PORT.pid"
if [[ -f "$PID_FILE" ]]; then
PID="$(cat "$PID_FILE")"
deploy/bff_restart.sh
Regular → Executable
+18 -17
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@@ -1,38 +1,39 @@
#!/bin/bash
# deploy/bff_restart.sh —— 远端 BFF 重启（PM 使用，在远端执行）
# 用法：ssh 192.168.0.175 -p 26518 'bash ~/5090/teamWorkspace/zh/PlantAI-rag-new/deploy/bff_restart.sh [bind_addr]'
# 参数：可选绑定地址（默认 127.0.0.1；内网演示传 0.0.0.0）
# 要点：用 setsid 完全脱离 SSH 会话，stdout/stderr 全部落日志。
# deploy/bff_restart.sh —— 远端 BFF 重启(PM 使用,在远端执行)
# 用法:ssh 192.168.0.175 -p 26518 'bash ~/5090/teamWorkspace/zh/PlantAI-rag-new/deploy/bff_restart.sh [bind_addr]'
# 参数:可选绑定地址(默认 127.0.0.1;内网演示传 0.0.0.0)
# 要点:用 setsid 完全脱离 SSH 会话,stdout/stderr 全部落日志。
# 2026-09-01 统一 Python:conda plantai-bff → plantai-rag-new-venv(py3.12.13)
set -uo pipefail
ROOT="/home/xzq/5090/teamWorkspace/zh/PlantAI-rag-new"
SDK_ROOT="/home/xzq/5090/teamWorkspace/zh/plantai-rag-new-deploy-unified/sdk"
PYTHON="/home/xzq/5090/teamWorkspace/zh/plantai-rag-new-venv/bin/python"
BIND="${1:-127.0.0.1}"
source ~/miniconda3/etc/profile.d/conda.sh
conda activate plantai-bff
[[ -x "$PYTHON" ]] || { echo "BFF Python 不可执行: $PYTHON" >&2; exit 1; }
# 杀旧进程（[u] 正则技巧防 pkill 自匹配）
# 杀旧进程([u] 正则技巧防 pkill 自匹配)
pkill -f "[a]pp.main:app" 2>/dev/null
sleep 2
cd "$ROOT/sdk"
# 加载运行时凭据（sdk/.env，不入 git）并导出给应用进程。
# pydantic-settings 会把 .env 载入 settings 对象，但 services/neo4j.py 的
# _env() 直接读 os.environ，故需显式 set -a 导出。
cd "$SDK_ROOT"
# 加载运行时凭据(sdk/.env,不入 git)并导出给应用进程。
# pydantic-settings 会把 .env 载入 settings 对象,但 services/neo4j.py 的
# _env() 直接读 os.environ,故需显式 set -a 导出。
set -a
[ -f .env ] && source .env
set +a
setsid python -m uvicorn app.main:app --host "$BIND" --port 8090 \
setsid "$PYTHON" -m uvicorn app.main:app --host "$BIND" --port 8090 \
> /tmp/plantai-bff.log 2>&1 < /dev/null &
disown
sleep 12
if ss -tln | grep -q ":8090 "; then
echo "BFF UP ($BIND:8090)"
echo "BFF UP ($BIND:8090, venv py3.12.13)"
curl -s --max-time 20 http://127.0.0.1:8090/api/health | head -c 200
echo
# 生产形态：静态托管 ui/dist（存在时 BFF 单进程服务整个前端）
curl -s --max-time 10 http://127.0.0.1:8090/ | grep -o "<title>[^<]*" || echo "（静态托管未生效，需同步 dist）"
# 生产形态:静态托管 ui/dist(存在时 BFF 单进程服务整个前端)
curl -s --max-time 10 http://127.0.0.1:8090/ | grep -o "<title>[^<]*" || echo "(静态托管未生效,需同步 dist)"
else
echo "BFF FAIL —— 日志尾部："
echo "BFF FAIL —— 日志尾部:"
tail -15 /tmp/plantai-bff.log
exit 1
fi
deploy/start-dev.sh
+2 -2
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@@ -3,8 +3,8 @@
set -euo pipefail
ROOT="/home/xzq/5090/teamWorkspace/zh/PlantAI-rag-new"
echo "== 启动 BFF (127.0.0.1:8090) =="
(cd "$ROOT/sdk" && source ~/miniconda3/etc/profile.d/conda.sh && conda activate plantai-bff && \
nohup uvicorn app.main:app --host 127.0.0.1 --port 8090 > /tmp/plantai-bff.log 2>&1 &)
(cd "$ROOT/sdk" && \
nohup /home/xzq/5090/teamWorkspace/zh/plantai-rag-new-venv/bin/python -m uvicorn app.main:app --host 127.0.0.1 --port 8090 > /tmp/plantai-bff.log 2>&1 &)
echo "== 启动 Vite dev (127.0.0.1:5180) =="
(cd "$ROOT/ui" && nohup npm run dev > /tmp/plantai-vite.log 2>&1 &)
sleep 3
sdk/run.sh
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@@ -1,21 +1,12 @@
#!/usr/bin/env bash
# run.sh —— 本地起 BFF（ARCHITECTURE.md §3：127.0.0.1:8090，占用则退 8091）。
# 用法：bash sdk/run.sh
# run.sh —— 本地起 BFF(ARCHITECTURE.md §3:127.0.0.1:8090,占用则退 8091)。
# 用法:bash sdk/run.sh
# 2026-09-01 统一 Python:conda plantai-bff → plantai-rag-new-venv(py3.12.13)
set -euo pipefail
cd "$(dirname "$0")"
PORT="${PORT:-8090}"
PYTHON="${PLANTAI_BFF_PYTHON:-/home/xzq/5090/teamWorkspace/zh/plantai-rag-new-venv/bin/python}"
if ! command -v conda >/dev/null 2>&1; then
echo "run.sh: 未找到 conda，尝试直接使用当前 python 运行" >&2
exec python -m uvicorn app.main:app --host 127.0.0.1 --port "$PORT"
fi
if ! conda env list | awk '{print $1}' | grep -qx "plantai-bff"; then
echo "run.sh: conda 环境 plantai-bff 不存在" >&2
echo " 创建：conda create -n plantai-bff python=3.11 -y && conda activate plantai-bff && pip install -e '.[dev]'" >&2
exit 1
fi
exec conda run --no-capture-output -n plantai-bff \
python -m uvicorn app.main:app --host 127.0.0.1 --port "$PORT"
[[ -x "$PYTHON" ]] || { echo "run.sh: 统一 venv 不可执行: $PYTHON" >&2; exit 1; }
exec "$PYTHON" -m uvicorn app.main:app --host 127.0.0.1 --port "$PORT"
tooling/build_all.sh
+6 -2
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@@ -33,13 +33,17 @@ bash "$SCRIPT_DIR/compile/compile_methodology.sh" \
bash "$SCRIPT_DIR/compile/compile_legacy.sh" \
"$PROJECT_ROOT/agent/legacy-rag" "$BUILD_ROOT/compiled/legacy-rag" "$LEGACY_PYTHON"
# ---- 2. 双审计 ----
# ---- 2. 双审计(各树用编译时的 Python——ABI 后缀必须匹配) ----
echo "[2/6] 编译树审计"
AUDIT="$SCRIPT_DIR/compile/tools/audit_compiled_tree.py"
declare -A TREE_PY=( [sdk]="$SDK_PYTHON" [qa]="$QA_PYTHON" [methodology]="$METHODOLOGY_PYTHON" [legacy-rag]="$LEGACY_PYTHON" )
for tree in sdk qa methodology legacy-rag; do
"$SDK_PYTHON" "$AUDIT" --tree "$BUILD_ROOT/compiled/$tree" --project "$tree" --write-marker \
py="${TREE_PY[$tree]}"
"$py" "$AUDIT" --tree "$BUILD_ROOT/compiled/$tree" --project "$tree" --write-marker \
| python3 -c "import json,sys; r=json.load(sys.stdin); print(f' $tree: ok={r[\"ok\"]} exts={r[\"extension_count\"]}'); sys.exit(0 if r['ok'] else 1)" \
|| { echo "$tree 审计失败" >&2; exit 2; }
"$py" "$AUDIT" --tree "$BUILD_ROOT/compiled/$tree" --project "$tree" --require-marker \
>/dev/null || { echo "$tree marker 校验失败" >&2; exit 2; }
done
# ---- 3. 冒烟(起服务探 /health,全 .so import 检查) ----
tooling/legacy_plantai_server_package/server.env
+2 -2
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@@ -47,8 +47,8 @@ SECRETS_DIR=/home/xzq/5090/PlanAI-cooperate/hsj-workspace/encryption-test/server
# OUT_DIR=/home/xzq/5090/PlanAI-cooperate/hsj-workspace/encryption-test/server/plantai_server_package/out/1.0.0
# 与目标部署环境 ABI 一致的 Python。
PLANTAI_PYTHON=/home/xzq/miniconda3/envs/test4py311/bin/python
QA_PYTHON=/home/xzq/miniconda3/envs/gfpy312/bin/python
PLANTAI_PYTHON=/home/xzq/5090/teamWorkspace/zh/plantai-rag-new-venv/bin/python
QA_PYTHON=/home/xzq/5090/teamWorkspace/zh/plantai-rag-new-venv/bin/python
# 供应商私钥口令文件，权限应为 600。
SUPPLIER_KEY_PASSPHRASE_FILE=/home/xzq/5090/PlanAI-cooperate/hsj-workspace/encryption-test/server/plantai_server_package/secrets/private_key.pass
tooling/requirements.lock
+130
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@@ -0,0 +1,130 @@
aiofiles==25.1.0
aiohappyeyeballs==2.6.2
aiohttp==3.13.5
aiosignal==1.4.0
aiosqlite==0.22.1
annotated-doc==0.0.5
annotated-types==0.8.0
anyio==4.14.2
attrs==26.1.0
biopython==1.87
certifi==2026.7.22
charset-normalizer==3.5.1
click==8.4.2
coverage==7.15.4
Cython==3.2.8
distro==1.9.0
et_xmlfile==2.0.0
faiss-cpu==1.14.3
fastapi==0.141.1
filelock==3.29.4
frozenlist==1.8.0
fsspec==2026.6.0
greenlet==3.5.1
grpcio==1.80.0
h11==0.16.0
h2==4.3.0
hf-xet==1.5.1
hpack==4.1.0
httpcore==1.0.9
httpcore2==2.12.0
httptools==0.8.0
httpx==0.28.1
httpx-sse==0.4.3
httpx2==2.12.0
huggingface_hub==1.19.0
hyperframe==6.1.0
idna==3.19
iniconfig==2.3.0
Jinja2==3.1.6
jiter==0.16.0
joblib==1.5.3
jsonpatch==1.33
jsonpointer==3.1.1
langchain==1.3.2
langchain-classic==1.0.7
langchain-community==0.4.2
langchain-core==1.4.0
langchain-huggingface==1.2.2
langchain-protocol==0.0.16
langchain-text-splitters==1.1.2
langgraph==1.2.2
langgraph-checkpoint==4.1.1
langgraph-prebuilt==1.1.0
langgraph-sdk==0.3.15
langsmith==0.8.7
loguru==0.7.3
lxml==6.1.2
markdown-it-py==4.2.0
MarkupSafe==3.0.3
mdurl==0.1.2
mpmath==1.3.0
multidict==6.7.1
narwhals==2.25.0
neo4j==6.2.0
networkx==3.6.1
numpy==2.4.6
openai==3.3.1
openpyxl==3.1.5
orjson==3.11.9
ormsgpack==1.12.2
packaging==26.3
pandas==3.0.5
pluggy==1.6.0
portalocker==3.2.0
propcache==0.5.2
protobuf==7.35.0
pydantic==2.13.4
pydantic-settings==2.15.0
pydantic_core==2.46.4
Pygments==2.21.0
pymupdf==1.28.2
pytest==9.1.1
pytest-asyncio==1.4.0
pytest-cov==7.1.0
python-dateutil==2.9.0.post0
python-docx==1.1.2
python-dotenv==1.2.3
python-multipart==0.0.32
pytz==2026.3.post1
PyYAML==6.0.3
qdrant-client==1.18.0
rank-bm25==0.2.2
redis==8.0.0
regex==2026.5.9
requests==2.34.2
requests-toolbelt==1.0.0
respx==0.23.1
rich==15.0.0
safetensors==0.8.0
scikit-learn==1.9.0
scipy==1.17.1
sentence-transformers==5.6.0
setuptools==81.0.0
shellingham==1.5.4
six==1.17.0
sniffio==1.3.1
SQLAlchemy==2.0.50
starlette==1.6.0
sympy==1.14.0
tenacity==9.1.4
threadpoolctl==3.6.0
tokenizers==0.22.2
torch==2.13.0+cpu
tqdm==4.67.3
transformers==5.12.1
truststore==0.10.4
typer==0.25.1
typing-inspection==0.4.4
typing_extensions==4.16.0
urllib3==2.7.0
uuid_utils==0.16.0
uvicorn==0.52.4
uvloop==0.22.1
watchfiles==1.2.0
websockets==16.0
wheel==0.47.0
xlrd==2.0.1
xxhash==3.7.0
yarl==1.24.2
zstandard==0.25.0
tooling/tooling.env
+5 -5
View File
@@ -6,11 +6,11 @@ VERSION=2.0.0
PROJECT_ROOT=/home/xzq/5090/teamWorkspace/zh/PlantAI-rag-new
# 编译 Python 环境(ABI 各服务独立)
SDK_PYTHON=/home/xzq/miniconda3/envs/plantai-bff/bin/python
QA_PYTHON=/home/xzq/miniconda3/envs/gfpy312/bin/python
METHODOLOGY_PYTHON=/home/xzq/miniconda3/envs/gfpy312/bin/python
LEGACY_PYTHON=/home/xzq/miniconda3/envs/test4py311/bin/python # 仅编译;运行用 plantai-bff
LEGACY_RUN_PYTHON=/home/xzq/miniconda3/envs/plantai-bff/bin/python
SDK_PYTHON=/home/xzq/5090/teamWorkspace/zh/plantai-rag-new-venv/bin/python
QA_PYTHON=/home/xzq/5090/teamWorkspace/zh/plantai-rag-new-venv/bin/python
METHODOLOGY_PYTHON=/home/xzq/5090/teamWorkspace/zh/plantai-rag-new-venv/bin/python
LEGACY_PYTHON=/home/xzq/5090/teamWorkspace/zh/plantai-rag-new-venv/bin/python
LEGACY_RUN_PYTHON=/home/xzq/5090/teamWorkspace/zh/plantai-rag-new-venv/bin/python
# KB(定版后启用 SKIP_KB=0)
SKIP_KB=1