ai-ticket-platform/backend/apps/agents/management/commands/seed_ticket_intake.py

from django.core.management.base import BaseCommand, CommandError
from django.db import transaction
from django.utils import timezone

from apps.agents.models import AgentDefinition, AgentStepBinding, AgentVersion
from apps.modelhub.models import ModelDeployment
from apps.skills.models import SkillDefinition, SkillVersion

TICKET_FIELDS = {
    "type": "object",
    "properties": {
        "title": {"type": "string"},
        "description": {"type": "string"},
        "category_code": {"type": "string"},
        "priority": {"type": "string", "enum": ["low", "medium", "high", "urgent"]},
        "problem_performance": {"type": "string"},
        "problem_object": {"type": "string"},
        "submitter_name": {"type": "string"},
        "submitter_org": {"type": "string"},
        "impact_scope": {"type": "string"},
        "environment": {"type": "string"},
        "related_system": {"type": "string"},
    },
    "required": [
        "title",
        "description",
        "category_code",
        "priority",
        "problem_performance",
        "problem_object",
        "submitter_name",
        "submitter_org",
        "impact_scope",
        "environment",
        "related_system",
    ],
    "additionalProperties": False,
}

AGENT_INPUT_SCHEMA = {
    "type": "object",
    "properties": {
        "source_text": {"type": "string"},
        "current_fields": {"type": "object"},
        "messages": {"type": "array", "items": {"type": "object"}},
        "image_refs": {"type": "array", "items": {"type": "object"}},
    },
    "required": ["source_text", "current_fields", "messages", "image_refs"],
}

OUTPUT_SCHEMA = {
    "type": "object",
    "properties": {
        "fields": TICKET_FIELDS,
        "missing_fields": {"type": "array", "items": {"type": "string"}},
        "questions": {"type": "array", "items": {"type": "string"}},
    },
    "required": ["fields", "missing_fields", "questions"],
    "additionalProperties": False,
}


class Command(BaseCommand):
    help = "Create and publish the single-step ticket intake Agent and Skill."

    def add_arguments(self, parser):
        parser.add_argument("--deployment-id", type=int)

    @transaction.atomic
    def handle(self, *args, **options):
        deployments = ModelDeployment.objects.filter(enabled=True, provider__enabled=True)
        deployment_id = options.get("deployment_id")
        deployment = (
            deployments.filter(id=deployment_id).first() if deployment_id else deployments.first()
        )
        if deployment is None:
            raise CommandError("请先配置并启用模型渠道和模型配置")

        skill, _ = SkillDefinition.objects.get_or_create(
            code="ticket-draft",
            defaults={"name": "可信建单草稿", "description": "从描述与追问答案生成工单草稿。"},
        )
        skill_version = skill.versions.filter(status="published").order_by("-version").first()
        if skill_version is None:
            next_version = (
                skill.versions.order_by("-version").values_list("version", flat=True).first() or 0
            ) + 1
            skill_version = SkillVersion.objects.create(
                definition=skill,
                version=next_version,
                status="published",
                prompt_template=(
                    "根据用户原始描述 {{ input.source_text }}、"
                    "当前字段 {{ input.current_fields }}、"
                    "逐问记录 {{ input.messages }} 以及随消息提供的可选图片，生成完整工单草稿。"
                    "分类代码只能使用 business_issue、operation_issue、"
                    "data_issue、technical_issue。"
                    "无法可靠判断的值使用空字符串并列入 missing_fields，同时为缺失项生成简洁问题。"
                    "只输出符合 Schema 的 JSON。"
                ),
                input_schema=AGENT_INPUT_SCHEMA,
                output_schema=OUTPUT_SCHEMA,
                example_input={
                    "source_text": "生产环境采集任务两小时没有更新",
                    "current_fields": {},
                    "messages": [],
                    "image_refs": [],
                },
                published_at=timezone.now(),
            )
        skill.active_version = skill_version
        skill.save(update_fields=["active_version", "updated_at"])

        agent, _ = AgentDefinition.objects.get_or_create(
            code="ticket-intake",
            defaults={"name": "可信建单 Agent", "description": "单步生成可审核的结构化工单草稿。"},
        )
        version = agent.versions.filter(status="published").order_by("-version").first()
        if version is None:
            next_version = (
                agent.versions.order_by("-version").values_list("version", flat=True).first() or 0
            ) + 1
            version = AgentVersion.objects.create(
                definition=agent,
                version=next_version,
                status="published",
                model_deployment=deployment,
                system_prompt=(
                    "你是企业技术支持建单助手。不得创建工单，只生成待用户审核的 JSON 草稿；"
                    "不得臆造机构、联系人、环境或影响范围。"
                ),
                input_schema=AGENT_INPUT_SCHEMA,
                example_input={
                    "source_text": "生产环境采集任务两小时没有更新",
                    "current_fields": {},
                    "messages": [],
                    "image_refs": [],
                },
                published_at=timezone.now(),
            )
            AgentStepBinding.objects.create(
                agent_version=version,
                code="draft",
                order=1,
                skill_version=skill_version,
                input_mapping={
                    "source_text": "$input.source_text",
                    "current_fields": "$input.current_fields",
                    "messages": "$input.messages",
                    "image_refs": "$input.image_refs",
                },
            )
        agent.active_version = version
        agent.save(update_fields=["active_version", "updated_at"])
        self.stdout.write(
            self.style.SUCCESS(
                f"Published ticket-intake v{version.version} with deployment {deployment.id}."
            )
        )