This commit is contained in:
potaser
2026-08-07 09:41:18 +08:00
9 changed files with 445 additions and 29 deletions
+1 -1
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@@ -1365,6 +1365,7 @@
<el-tooltip content="上传已跑通过的代码和测试数据;执行通过自然语言触发。" placement="top">
<h4 style="margin:0; color:#303133; cursor:help;">拓展分析阶段</h4>
</el-tooltip>
<el-button size="small" @click="loadExtensionRuns(); extensionResultDialogVisible = true">运行结果</el-button>
</div>
<div style="display:grid; grid-template-columns:72px 1fr; gap:7px; align-items:center; font-size:12px;">
<span>已写阶段</span>
@@ -1425,7 +1426,6 @@
<el-button v-if="isLightweightExtensionSelected" size="small" type="success" @click="openLightweightRuntimeCard()">
运行已发布
</el-button>
<el-button size="small" @click="loadExtensionRuns(); extensionResultDialogVisible = true">运行结果</el-button>
</div>
</div>
+22 -11
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@@ -777,18 +777,12 @@ def _reconcile_confirmed_gene_family_species(
job_id,
_param_list(routed_params.get("comparativeSpecies") or routed_intent.get("comparative_species")),
)
explicit_reference_set = set(explicit["referenceSpecies"])
explicit_assigned_set = set(
explicit["targetSpecies"]
+ explicit["referenceSpecies"]
+ explicit["comparativeSpecies"]
)
explicit_unassigned_set = set(explicit["unassigned"])
for species in structured_targets:
config_role = config_role_by_species.get(species)
if (
config_role in {None, "reference"}
and species not in explicit_reference_set
and species not in explicit_assigned_set
and species in explicit_unassigned_set
):
conflicts.append({
"code": "analysis_target_config_role_conflict",
@@ -865,10 +859,24 @@ def _species_role_conflict_message(conflicts: list[Dict[str, str]]) -> str:
config_role = role_labels.get(conflict.get("config_role") or "", conflict.get("config_role") or "未知")
requested_role = role_labels.get(conflict.get("requested_role") or "", conflict.get("requested_role") or "配置内部重复角色")
details.append(f"{species}:config.xlsx 为{config_role},本轮为{requested_role}")
conflict_codes = {str(conflict.get("code") or "") for conflict in conflicts}
detail_text = ";".join(details)
if "config_species_role_conflict" in conflict_codes:
return (
"检测到 config.xlsx 内部物种角色冲突:"
+ detail_text
+ "。请发送“打开 config.xlsx”,修正并重新确认物种角色后再继续。"
)
if "analysis_target_config_role_conflict" in conflict_codes:
return (
"检测到系统意图解析发生角色漂移:"
+ detail_text
+ "。config.xlsx 未被修改,系统已阻止按错误范围执行,请重新提交当前分析请求。"
)
return (
"检测到物种角色不一致:"
+ ";".join(details)
+ "。为避免按错误范围执行,请发送“打开 config.xlsx”,核对并重新确认物种角色后再继续。"
"检测到本轮请求与项目物种角色不一致:"
+ detail_text
+ "。系统已阻止执行,请按 config.xlsx 中已确认的角色重新描述分析范围。"
)
@@ -4191,6 +4199,9 @@ def _attach_agent_manifest_status(task: Dict) -> None:
print(f"[API DEBUG] Failed to attach agent manifest status: {e}")
app = FastAPI(title="BotanicalBaseAgent API")
from gfa_core.extension_stage_lightweight.api import create_lightweight_extension_router
app.include_router(create_lightweight_extension_router())
# MainAgent runtime state. Analysis planning and execution remain owned by
# the original IntentAgent/PlanningAgent/frontend flow below.
llm_manager = None
+66 -10
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@@ -12,7 +12,13 @@ from gfa_core.mas.stage_catalog import (
STAGE_INFO as CATALOG_STAGE_INFO,
complete_dependencies as catalog_complete_dependencies,
)
from gfa_core.mas.utils.intent_parser import is_gwas_fmt_intent, parse_gene_family, resolve_gwas_intent, resolve_population_intent
from gfa_core.mas.utils.intent_parser import (
is_gwas_fmt_intent,
parse_gene_family,
parse_gene_family_scope_selection,
resolve_gwas_intent,
resolve_population_intent,
)
class IntentAgentV2(BaseAgent):
@@ -696,18 +702,68 @@ class IntentAgentV2(BaseAgent):
print(f"[IntentAgentV2] Stages expanded: {original_stages} -> {intent_data['stages']}")
query_lower = query.lower()
species_codes = re.findall(r"(?<![A-Za-z0-9])(?:Ft|At|Os|Sl|Zm|Gm|Br|Vv|Pt|Sb|Lc|Dl|Py|Cp|Lg)(?![A-Za-z0-9])", query, flags=re.IGNORECASE)
species_map = {code.lower(): code for code in ["Ft", "At", "Os", "Sl", "Zm", "Gm", "Br", "Vv", "Pt", "Sb", "Lc", "Dl", "Py", "Cp", "Lg"]}
target_species = []
for item in species_codes:
sp = species_map.get(item.lower())
if sp and sp not in target_species:
target_species.append(sp)
selection = parse_gene_family_scope_selection(query)
params = intent_data.setdefault("params", {})
def as_species_list(value: Any) -> List[str]:
if isinstance(value, str):
values = [item.strip() for item in value.split(",")]
elif isinstance(value, (list, tuple, set)):
values = [str(item).strip() for item in value]
else:
values = []
return list(dict.fromkeys(item for item in values if item))
target_species = as_species_list(selection.get("targetSpecies"))
reference_species = as_species_list(selection.get("referenceSpecies"))
comparative_species = as_species_list(selection.get("comparativeSpecies"))
has_query_scope = bool(target_species or reference_species or comparative_species)
prefix_species = provided_prefix.split(".", 1)[0].strip() if provided_prefix and "." in provided_prefix else ""
if not target_species and prefix_species:
target_species = [prefix_species]
if not target_species:
target_species = as_species_list(params.get("targetSpecies") or intent_data.get("target_species"))
if not reference_species:
reference_species = as_species_list(params.get("referenceSpecies") or intent_data.get("reference_species"))
if not comparative_species:
comparative_species = as_species_list(params.get("comparativeSpecies") or intent_data.get("comparative_species"))
if not target_species and not has_query_scope:
llm_species = str(intent_data.get("species") or "").strip()
if llm_species and llm_species != "Multi":
target_species = [llm_species]
reference_species = [sp for sp in reference_species if sp not in target_species]
comparative_species = [
sp for sp in comparative_species
if sp not in target_species and sp not in reference_species
]
scope_mode = (
"target_plus_reference_plus_comparative"
if reference_species and comparative_species
else "target_plus_reference"
if reference_species
else "target_plus_comparative"
if comparative_species
else "target_only"
)
intent_data["target_species"] = target_species
intent_data["reference_species"] = reference_species
intent_data["comparative_species"] = comparative_species
intent_data["scopeMode"] = scope_mode
params.update({
"targetSpecies": target_species,
"referenceSpecies": reference_species,
"comparativeSpecies": comparative_species,
"scopeMode": scope_mode,
"target_species": target_species,
})
explicit_species = bool(target_species)
if target_species:
intent_data["target_species"] = target_species
intent_data.setdefault("params", {})["target_species"] = target_species
intent_data["species"] = target_species[0] if len(target_species) == 1 else "Multi"
elif has_query_scope:
intent_data["species"] = ""
generic_identify = (
"identify" in intent_data.get("stages", [])
and not provided_prefix
+185
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@@ -0,0 +1,185 @@
#!/bin/bash
# PlantAI-dev 9000 服务管理脚本
# 用法: bash manage_plantai.sh {start|stop|restart|status} [--port PORT]
# 默认端口: 9000
#
# 项目: /home/xzq/5090/teamWorkspace/zh/PlantAI-dev
# 端口: 9000 (web), Redis DB 14 (queue prefix: plantai_dev_9002)
set -euo pipefail
# 解析命令行参数:第一个参数是命令,后面可选 --port / -p
CMD=""
WEB_PORT="9000"
for arg in "$@"; do
case "$arg" in
start|stop|restart|status)
CMD="$arg"
;;
--port|-p)
WEB_PORT=""
;;
*)
if [ -z "$WEB_PORT" ] && [[ "$arg" =~ ^[0-9]+$ ]]; then
WEB_PORT="$arg"
elif [ -z "$CMD" ]; then
echo "错误: 未知命令 '$arg'"
echo "用法: bash manage_plantai.sh {start|stop|restart|status} [--port PORT]"
exit 1
fi
;;
esac
done
CMD="${CMD:-status}"
# Conda 环境:启动脚本内部也依赖这个环境
CONDA_ENV="${CONDA_ENV:-/home/xzq/miniconda3/envs/test4py311}"
export PATH="$CONDA_ENV/bin:$PATH"
# 项目配置(与 .env 和启动脚本保持一致)
PROJECT_DIR="/home/xzq/5090/teamWorkspace/zh/PlantAI-dev"
QUEUE_PREFIX="plantai_dev_9002"
WEB_LOG="/tmp/plantai_${WEB_PORT}.log"
CELERY_LOG="/tmp/celery_${WEB_PORT}.log"
red() { echo -e "\033[31m$*\033[0m"; }
green(){ echo -e "\033[32m$*\033[0m"; }
cyan() { echo -e "\033[36m$*\033[0m"; }
status() {
echo ""
cyan "=== PlantAI-dev ${WEB_PORT} 服务状态 ==="
echo ""
# Web 服务
WEB_PID=$(ss -tlnp 2>/dev/null | grep ":$WEB_PORT " | grep -oP 'pid=\K\d+' || true)
if [ -n "${WEB_PID:-}" ]; then
green "[✓] Web 服务运行中 (端口 $WEB_PORT, PID $WEB_PID)"
else
red "[✗] Web 服务未启动 (端口 $WEB_PORT)"
fi
# Redis
if redis-cli ping > /dev/null 2>&1; then
green "[✓] Redis 运行中 (localhost:6379)"
else
red "[✗] Redis 未启动"
fi
# Celery workers
CELERY_COUNT=$(pgrep -fc "$QUEUE_PREFIX" || echo 0)
if [ "$CELERY_COUNT" -gt 0 ]; then
green "[✓] Celery workers 运行中 (${CELERY_COUNT} 进程, 队列前缀: $QUEUE_PREFIX)"
echo " Worker 列表:"
ps aux | grep "$QUEUE_PREFIX" | grep -v grep | grep -oP "queues=\K\S+" | sort | while read q; do
echo " - $q"
done
else
red "[✗] Celery workers 未启动 (队列前缀: $QUEUE_PREFIX)"
fi
echo ""
}
stop() {
echo ""
cyan "=== 停止 PlantAI-dev ${WEB_PORT} 服务 ==="
echo ""
# 停止 Web 服务
WEB_PID=$(ss -tlnp 2>/dev/null | grep ":$WEB_PORT " | grep -oP 'pid=\K\d+' || true)
if [ -n "${WEB_PID:-}" ]; then
echo "正在停止 Web 服务 (PID $WEB_PID)..."
kill "$WEB_PID" 2>/dev/null || true
sleep 1
# 如果还没死,强制 kill
if ss -tlnp 2>/dev/null | grep -q ":$WEB_PORT"; then
kill -9 "$WEB_PID" 2>/dev/null || true
fi
green "[✓] Web 服务已停止"
else
echo "[ ] Web 服务未运行"
fi
# 停止 Celery workers
CELERY_PIDS=$(pgrep -f "$QUEUE_PREFIX" 2>/dev/null) || true
if [ -n "${CELERY_PIDS:-}" ]; then
echo "正在停止 Celery workers..."
echo "$CELERY_PIDS" | xargs -r kill 2>/dev/null || true
sleep 2
# 清理残留
REMAIN=$(pgrep -f "$QUEUE_PREFIX" 2>/dev/null) || true
if [ -n "${REMAIN:-}" ]; then
echo " 强制清理残留进程..."
echo "$REMAIN" | xargs -r kill -9 2>/dev/null || true
fi
green "[✓] Celery workers 已停止"
else
echo "[ ] Celery workers 未运行"
fi
echo ""
}
start() {
echo ""
cyan "=== 启动 PlantAI-dev ${WEB_PORT} 服务 ==="
echo ""
# 检查是否已在运行
if ss -tlnp 2>/dev/null | grep -q ":$WEB_PORT"; then
red "[!] 端口 $WEB_PORT 已被占用,请先停止服务"
exit 1
fi
if ! redis-cli ping > /dev/null 2>&1; then
red "[!] Redis 未运行,请先启动 Redis"
exit 1
fi
cd "$PROJECT_DIR"
# 启动 Celery workers
echo "正在启动 Celery workers..."
nohup bash start_celery_9000.sh > "$CELERY_LOG" 2>&1 &
sleep 3
CELERY_COUNT=$(pgrep -fc "$QUEUE_PREFIX" || echo 0)
if [ "$CELERY_COUNT" -gt 0 ]; then
green " [✓] Celery workers 已启动 (${CELERY_COUNT} 进程)"
else
red " [✗] Celery workers 启动失败,查看 $CELERY_LOG"
fi
# 启动 Web 服务
echo "正在启动 Web 服务..."
nohup bash start_plantai_9000.sh --port "$WEB_PORT" > "$WEB_LOG" 2>&1 &
sleep 3
if ss -tlnp 2>/dev/null | grep -q ":$WEB_PORT"; then
green " [✓] Web 服务已启动 (http://0.0.0.0:$WEB_PORT)"
else
red " [✗] Web 服务启动失败,查看 $WEB_LOG"
fi
# 最终状态
echo ""
echo "日志文件:"
echo " Web: $WEB_LOG"
echo " Celery: $CELERY_LOG"
echo " Worker: $PROJECT_DIR/logs/celery_${QUEUE_PREFIX}/"
echo ""
}
restart() {
stop
sleep 1
start
}
case "$CMD" in
start) start ;;
stop) stop ;;
restart) restart ;;
status) status ;;
*)
echo "用法: bash manage_plantai.sh {start|stop|restart|status} [--port PORT]"
exit 1
;;
esac
+24
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@@ -0,0 +1,24 @@
#!/bin/bash
# Project restart script — called by /api/admin/restart-project
# 用法: bash restart_plantai_9000.sh [--port PORT]
# 从环境变量 PLANTAI_WEB_PORT 或参数获取端口,默认 9000
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
PORT="${PLANTAI_WEB_PORT:-9000}"
while [[ $# -gt 0 ]]; do
case "$1" in
--port|-p)
PORT="${2:?错误: --port 需要指定端口号}"
shift 2
;;
*)
shift
;;
esac
done
cd "$SCRIPT_DIR"
exec bash manage_plantai.sh restart --port "$PORT"
+3 -3
View File
@@ -25,13 +25,13 @@ fi
if [ -n "$EXTERNAL_BBAV5_WORKER_NAME_PREFIX" ]; then
BBAV5_WORKER_NAME_PREFIX="$EXTERNAL_BBAV5_WORKER_NAME_PREFIX"
fi
if [ -z "$EXTERNAL_BBAV5_QUEUE_PREFIX" ]; then
if [ -z "${BBAV5_QUEUE_PREFIX-}" ]; then
BBAV5_QUEUE_PREFIX="plantai_dev_9000"
fi
if [ -z "$EXTERNAL_BBAV5_REDIS_URL" ]; then
if [ -z "${BBAV5_REDIS_URL-}" ]; then
BBAV5_REDIS_URL="redis://localhost:6379/10"
fi
if [ -z "$EXTERNAL_BBAV5_CELERY_LOG_DIR" ]; then
if [ -z "${BBAV5_CELERY_LOG_DIR-}" ]; then
BBAV5_CELERY_LOG_DIR="logs/celery_plantai_dev_9000"
fi
if [ -z "$EXTERNAL_BBAV5_WORKER_NAME_PREFIX" ]; then
+28 -4
View File
@@ -1,8 +1,26 @@
#!/bin/bash
# Start the PlantAI-dev web service on port 9000.
# Start the PlantAI-dev web service.
# 用法: bash start_plantai_9000.sh [--port PORT]
# 默认端口: 9000
set -euo pipefail
# 解析命令行参数
PORT="9000"
while [[ $# -gt 0 ]]; do
case "$1" in
--port|-p)
PORT="${2:?错误: --port 需要指定端口号}"
shift 2
;;
*)
echo "未知参数: $1"
echo "用法: bash start_plantai_9000.sh [--port PORT]"
exit 1
;;
esac
done
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
cd "$SCRIPT_DIR"
@@ -15,13 +33,19 @@ export PATH="$CONDA_ENV/bin:$PATH"
# the caller's shell; GWAS/other sandboxes have dedicated restart scripts.
export BBAV5_PROJECT_ROOT="$SCRIPT_DIR"
export PLANTAI_PROJECT_ROOT="$SCRIPT_DIR"
if [ -f "$SCRIPT_DIR/.env" ]; then
set -a
. "$SCRIPT_DIR/.env"
set +a
fi
export BBAV5_PROJECT_ENV_FILE="${BBAV5_PROJECT_ENV_FILE:-$SCRIPT_DIR/.env}"
export BBAV5_LIGHTWEIGHT_EXTENSION_STORE="${BBAV5_LIGHTWEIGHT_EXTENSION_STORE:-$SCRIPT_DIR/.runtime/lightweight-extension/store}"
export BBAV5_LIGHTWEIGHT_INPUT="${BBAV5_LIGHTWEIGHT_INPUT:-$SCRIPT_DIR/input}"
export BBAV5_LIGHTWEIGHT_WORKSPACE="${BBAV5_LIGHTWEIGHT_WORKSPACE:-$SCRIPT_DIR/workspace}"
export BBAV5_QUEUE_PREFIX="plantai_dev_9000"
export BBAV5_REDIS_URL="redis://localhost:6379/10"
export PLANTAI_WEB_PORT="9000"
export BBAV5_QUEUE_PREFIX="${BBAV5_QUEUE_PREFIX:-plantai_dev_9000}"
export BBAV5_REDIS_URL="${BBAV5_REDIS_URL:-redis://localhost:6379/10}"
export PLANTAI_WEB_PORT="$PORT"
export PLANTAI_RESTART_SCRIPT="$SCRIPT_DIR/restart_plantai_9000.sh"
export GENE_FAMILY_MAS_API="http://127.0.0.1:7926"
export DUAL_KB_QA_BASE_URL="http://127.0.0.1:7926"
export RAG_API_URL="http://127.0.0.1:7926/api/v1/qa-v1-1-73/chat"
+58
View File
@@ -1,3 +1,6 @@
import pytest
from gfa_core.mas.agents.intent_v2 import IntentAgentV2
from gfa_core.mas.utils.intent_parser import (
parse_explicit_species_role_mentions,
parse_gene_family_scope_selection,
@@ -30,3 +33,58 @@ def test_explicit_role_parser_keeps_unassigned_mentions_separate() -> None:
"comparativeSpecies": [],
"unassigned": ["Ppy"],
}
@pytest.mark.parametrize("species", ["Gm", "Br", "Pt", "Sb"])
def test_scope_parser_preserves_species_supported_by_legacy_intent(species: str) -> None:
scope = parse_gene_family_scope_selection(f"分析 {species} 的 SPL 基因家族")
assert scope["targetSpecies"] == [species]
def test_scope_parser_accepts_explicit_role_bound_custom_species_code() -> None:
scope = parse_gene_family_scope_selection("目标物种 Sv;参考物种 At")
assert scope["targetSpecies"] == ["Sv"]
assert scope["referenceSpecies"] == ["At"]
def test_scope_parser_does_not_treat_gene_family_as_species() -> None:
scope = parse_gene_family_scope_selection("目标物种 Ft;分析 SPL 基因家族")
assert scope["targetSpecies"] == ["Ft"]
def test_scope_parser_does_not_bind_custom_code_to_generic_goal_word() -> None:
scope = parse_gene_family_scope_selection("分析目标 SPL 基因家族")
assert scope["targetSpecies"] == []
def test_intent_validation_keeps_confirmed_target_and_reference_separate() -> None:
agent = object.__new__(IntentAgentV2)
intent = agent._validate_intent(
{"gene_family": "SPL", "stages": ["identify"], "params": {}},
(
"请按照你规划的步骤来帮我执行\n"
"已确认上下文:基因家族 SPL;目标物种 Ft;参考物种 At。"
),
)
assert intent["target_species"] == ["Ft"]
assert intent["reference_species"] == ["At"]
assert intent["species"] == "Ft"
def test_intent_validation_preserves_unlabelled_multi_target_request() -> None:
agent = object.__new__(IntentAgentV2)
intent = agent._validate_intent(
{"gene_family": "SPL", "stages": ["identify"], "params": {}},
"分析 Ft 和 Os 的 SPL 基因家族",
)
assert intent["target_species"] == ["Ft", "Os"]
assert intent["reference_species"] == []
assert intent["species"] == "Multi"
@@ -426,6 +426,64 @@ def test_confirmed_multi_species_roles_remain_separate(monkeypatch):
assert resolved["classification_species"] == ["Ft", "Ppy"]
def test_confirmation_ack_normalizes_structured_role_drift(monkeypatch):
main = _load_vue3_main()
monkeypatch.setattr(
main,
"_confirmed_config_species_scope",
lambda _job_id: {
"targetSpecies": ["Ft"],
"referenceSpecies": ["At"],
"comparativeSpecies": [],
},
)
resolved = main._reconcile_confirmed_gene_family_species(
"job-confirmed-ack",
"是",
{
"gene_family": "SPL",
"stages": ["identify"],
"target_species": ["Ft", "At"],
"params": {"targetSpecies": ["Ft", "At"]},
},
)
assert resolved["conflicts"] == []
assert resolved["target_species"] == ["Ft"]
assert resolved["reference_species"] == ["At"]
def test_unassigned_reference_species_analysis_request_remains_blocked(monkeypatch):
main = _load_vue3_main()
monkeypatch.setattr(
main,
"_confirmed_config_species_scope",
lambda _job_id: {
"targetSpecies": ["Ft"],
"referenceSpecies": ["At"],
"comparativeSpecies": [],
},
)
resolved = main._reconcile_confirmed_gene_family_species(
"job-unassigned-reference",
"分析 At 的 SPL 基因家族",
{
"gene_family": "SPL",
"stages": ["identify"],
"target_species": ["At"],
"params": {"targetSpecies": ["At"]},
},
)
assert any(
conflict["code"] == "analysis_target_config_role_conflict"
and conflict["species"] == "At"
for conflict in resolved["conflicts"]
)
def test_confirmed_config_duplicate_roles_are_blocked(monkeypatch):
main = _load_vue3_main()
monkeypatch.setattr(