From 1963ba3bac1d09b3de5bf3b24ce5997aeb688a80 Mon Sep 17 00:00:00 2001 From: pc Date: Thu, 23 Apr 2026 14:10:56 +0800 Subject: [PATCH] init wifi template project --- .gitignore | 5 + .pre-commit-config.yaml | 24 ++ .well-known/schema.json | 78 +++++ README | 1 + conftest.py | 120 +++++++ core/metric_manager.py | 82 +++++ glrocky_sdk-0.6.1-py3-none-any.whl | Bin 0 -> 58534 bytes justfile | 62 ++++ pyproject.toml | 80 +++++ scenarios/tc_generator.py | 477 ++++++++++++++++++++++++++ scenarios/test_cases.yaml | 15 + uv.lock | 523 +++++++++++++++++++++++++++++ 12 files changed, 1467 insertions(+) create mode 100644 .gitignore create mode 100644 .pre-commit-config.yaml create mode 100644 .well-known/schema.json create mode 100644 README create mode 100644 conftest.py create mode 100644 core/metric_manager.py create mode 100644 glrocky_sdk-0.6.1-py3-none-any.whl create mode 100644 justfile create mode 100644 pyproject.toml create mode 100644 scenarios/tc_generator.py create mode 100644 scenarios/test_cases.yaml create mode 100644 uv.lock diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..6950c51 --- /dev/null +++ b/.gitignore @@ -0,0 +1,5 @@ +__pycache__ +doc.xlsx +.env +logs/ +.config.json \ No newline at end of file diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000..10772c9 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,24 @@ +exclude: "^assets|^test/" +repos: + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.11.11 + hooks: + - id: ruff-check + args: [--fix] + - id: ruff-format + + - repo: https://github.com/asottile/pyupgrade + rev: v3.20.0 + hooks: + - id: pyupgrade + args: [--py312-plus] + + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.3.0 + hooks: + - id: check-added-large-files + - id: check-toml + - id: check-yaml + exclude: "^helm/" + args: [--unsafe] + - id: check-merge-conflict diff --git a/.well-known/schema.json b/.well-known/schema.json new file mode 100644 index 0000000..095358b --- /dev/null +++ b/.well-known/schema.json @@ -0,0 +1,78 @@ +{ + "schemaVersion": "2.0.0", + "metadata": { + "name": "gztel-wifi-e2e", + "uuid": "157f58111-aaa9-4636-b476-20251201gztele2e", + "description": "广州电信WIFI测试-e2e", + "remoteUrl": "https://gitea.glrocky.cn/aitest-scripts/gztel-wifi-e2e.git", + "branch": "master", + "tags": { + "osName": "android", + "osVersion": "16", + "brand": "Xiaomi", + "model": "2509FPN0BC", + "manufacturer": "Xiaomi" + } + }, + "requirements": { + "devices": [] + }, + "cases": [ + { + "name": "TC-0102-audio", + "description": "通话实时翻译", + "supportedMetrics": [], + "materialParams": [ + { + "name": "paramGroupUuid", + "description": "UUID", + "type": "text", + "isArray": true + }, + { + "name": "inputTextList", + "description": "对话列表，支持多轮对话", + "type": "text", + "isArray": true + }, + { + "name": "prompt", + "description": "提示词", + "type": "text", + "isArray": true + } + ], + "parameters": [] + }, + { + "name": "TC-0201-img", + "description": "日程管理", + "supportedMetrics": [], + "materialParams": [ + { + "name": "paramGroupUuid", + "description": "UUID", + "type": "text", + "isArray": true + }, + { + "name": "inputTextList", + "description": "对话列表，支持多轮对话", + "type": "text", + "isArray": true + }, + { + "name": "prompt", + "description": "提示词", + "type": "text", + "isArray": true + } + ], + "parameters": [] + } + ], + "commands": { + "generateSchema": "uv run --reinstall-package glrocky-sdk pytest --co --generate-schema --continue-on-collection-errors", + "startTest": "uv run pytest" + } +} \ No newline at end of file diff --git a/README b/README new file mode 100644 index 0000000..eb509a8 --- /dev/null +++ b/README @@ -0,0 +1 @@ +Honor \ No newline at end of file diff --git a/conftest.py b/conftest.py new file mode 100644 index 0000000..ca4ccb2 --- /dev/null +++ b/conftest.py @@ -0,0 +1,120 @@ +from typing import Callable, Literal +from glrocky.framework.schemas import ( + TestSessionRuntime, + Device as _Device, + TestCaseExecutionState, + TestCaseRuntime, +) +from glrocky.framework.const_stash_keys import CASE_RUNTIME_CONFIG_KEY +import pytest +from glrocky.framework.schemas import TestCaseMertic as MetricItem +from glrocky.framework.schemas import TestCaseMetrics as MetricPacked +from glrocky.core.logger import core_logger + + +@pytest.fixture(scope="function") +def device_info( + request: pytest.FixtureRequest, +) -> _Device: + runtime: TestSessionRuntime | None = getattr(request.config, "project", None) + if runtime is None: + raise RuntimeError("unreachable!!!!!") + ret = runtime.devices[0] if runtime.devices else None + if not ret: + raise RuntimeError("no device found") + return ret + + +@pytest.fixture(scope="function", autouse=True) +def metric(record_metric: Callable[[MetricPacked], None]): + """usage: + def test_g(metric): + metric.span() # optional + metric.add() + metric.add() + metric.send_all() # optianl + """ + + class M: + def __init__(self): + self.data: list[tuple[str, str, int, list[MetricItem]]] = [] + self.span() + + def add( + self, + name: str, + value: float | int | str, + label: str | None = None, + type: Literal["number", "image", "video", "text"] = "text", + ) -> None: + metric = MetricItem( + name=name, value=value, label=label or name, unit=None, type=type + ) + self.data[-1][-1].append(metric) + + def span( + self, + material_type: str = "default", + material_id: str = "default", + material_iteration: int = 1, + ): + # DO NOT ADD DUPLICATE ITEM!! + if len(self.data): + last_span = self.data[-1] + if all( + ( + last_span[0] == material_type, + last_span[1] == material_id, + last_span[2] == material_iteration, + ) + ): + core_logger.debug( + f"SKIP DUPLICATE SPAN:{material_type=},{material_id=},{material_iteration=}" + ) + return + + self.data.append((material_type, material_id, material_iteration, [])) + core_logger.info( + f"added new span for metric:{material_type=},{material_id=},{material_iteration=}" + ) + + def send_all( + self, + ): + if len(self.data) < 1: + core_logger.debug("no materics to send") + return # no span at all,skip + + data = self.data[::-1] + self.data.clear() # TODO: not safe,to be improved + core_logger.info(f"{len(data)} metrics for send.") + while True: + if len(data) == 0: + break + item = data.pop() + material_type, material_id, material_iteration, metrics = ( + item[0], + item[1], + item[2], + item[3], + ) + if len(metrics) == 0: + core_logger.info("skip empty metrics") + continue + for_send = MetricPacked( + type=material_type, + material=material_id, + iteration=material_iteration, + metrics=metrics, + ) + core_logger.info(f"rebuild metric:{for_send=}") + core_logger.info("sending metrics to executor...") + record_metric(for_send) + core_logger.info("sent") + + _m = M() + yield _m + try: + _m.send_all() + except Exception as e: + raise RuntimeError(f"Cloud not send metric to server,Detail: {e}") diff --git a/core/metric_manager.py b/core/metric_manager.py new file mode 100644 index 0000000..751692d --- /dev/null +++ b/core/metric_manager.py @@ -0,0 +1,82 @@ +from pathlib import Path + + +class MetricManager: + def __init__(self, metric): + self.metric = metric + + def new_span(self, m_type: str = "default", m_id: str = "default", m_iter: int = 1): + self.metric.span(m_type, m_id, m_iter) + + def _smart_name_label(self, name: str, label: str | None) -> tuple[str, str]: + """retruns: (name,label)""" + if not name: + raise ValueError() + if not name.strip(): + raise ValueError("Empty name") + + if label: + return name, label + for sep in ("|", ":"): + if sep in name: + _n, _l = name.split(sep, maxsplit=1) + return (_n, _l) + return name, name + + def add_text_metric(self, name: str, value: str, label: str | None = None): + _n, _l = self._smart_name_label(name, label) + self.metric.add( + name=_n, + label=_l, + value=value, + type="text", + ) + + def add_number_metric(self, name: str, value: float, label: str | None = None): + _n, _l = self._smart_name_label(name, label) + self.metric.add( + name=_n, + label=_l, + value=value, + type="number", + ) + + def add_image_metric(self, name: str, value: Path | str, label: str | None = None): + _n, _l = self._smart_name_label(name, label) + self.metric.add( + name=_n, + label=_l, + value=str(value), + type="image", + ) + + def add_video_metric(self, name: str, value: Path | str, label: str | None = None): + _n, _l = self._smart_name_label(name, label) + self.metric.add( + name=_n, + label=_l, + value=value, + type="video", + ) + + def send(self): + self.metric.send_all() + + def from_dict(self, the_dict: dict): + if not the_dict: + raise ValueError("dict is null") + for k, v in the_dict.items(): + if isinstance(v, (int, float)): + self.add_number_metric(name=k, value=v) + elif isinstance(v, str): + self.add_text_metric(name=k, value=v) + elif isinstance(v, Path): + if v.suffix.lower() in (".jpg", ".png", ".gif", ".bmp"): + self.add_image_metric(name=k, value=str(v.resolve())) 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dotenv-load +set quiet :=true + +@_: + just --list + +[group("build")] +generate-schema: + rm {{quote(".well-known"/"*.json")}} + @fd -e json -H "schema" + uv run --reinstall-package glrocky-sdk \ + python -m \ + pytest --co --generate-schema --continue-on-collection-errors -q + mv {{ quote (".well-known" / "schema_autogenerated.json")}} {{ quote (".well-known" / "schema.json")}} + @fd -e json -H "schema" + +[group("qa")] +lint: + uvx ruff check --fix --unsafe-fixes . + uvx ruff format + +[group("run")] +[doc("run a specific test,eg: j run 0101_02")] +run TEST: + uv run python -m pytest -sqv -k {{TEST}} + +[group("clean")] +clean-pycache: + @rm.exe -rf .pytest_cache .mypy_cache .ruff_cache .coverage + rm.exe -rf log out + @fd -td -I "__pycache__" -x rm -rf '{}' + @echo "✅ Done" + +[group("clean")] +clean-cache: + @rm.exe -rf .pytest_cache .mypy_cache .ruff_cache .coverage + +[group("clean")] +clean-out-and-log: + rm.exe -rf logs/ out/ + +[group("clean")] +clean-all: + just clean-cache + just clean-out-and-log + just clean-pycache + +[group("dev")] +[doc("invoke ipython with u2")] +debug-u2: + uvx --with uiautomator2 --with .packages/glrocky_sdk-0.1.2-py3-none-any.whl --directory . ipython + +[group("dev")] +[doc("show android ui")] +debug-ui: + uvx uiviewer + +[group("dev")] +[doc("start test executor server,from glrocky framework")] +debug-srv: + uv run api-test-server diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..48ffbfd --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,80 @@ +[project] +name = "gztel-wifi-e2e" +version = "0.3.1" +description = "广州电信WIFI测试-e2e" +readme = "README.md" +authors = [{ name = "liumin", email = "liumin@glrocy.com" }] +requires-python = "==3.12.6" + +dependencies = [ + "glrocky-sdk", + "pyyaml>=6.0.3", + "uvicorn>=0.34.2", +] + +[tool.pytest.ini_options] +minversion = "8.3.5" +#addopts = "--no-summary --no-header -rfEX --strict-markers --capture=tee-sys " +addopts = "--capture=tee-sys " +testpaths = ["scenarios"] +python_files = "tc_*.py" +markers = [] + +[tool.pyright] +venv = ".venv" +venvPath = "." +reportMissingTypeStubs = false +reportUnknownMemberType = false +[tool.uv.sources] +#glrocky-sdk = { path = "../../packages/glrocky-sdk" } +glrocky-sdk = { path = "./glrocky_sdk-0.6.1-py3-none-any.whl" } + +[[tool.uv.index]] +url = "https://mirrors.aliyun.com/pypi/simple/" +default = true + +[tool.glrocky] +remote_url = "https://gitea.glrocky.cn/aitest-scripts/gztel-wifi-e2e.git" +branch = "master" +uuid = "157f58111-aaa9-4636-b476-20251201gztele2e" + +[tool.glrocky.tags] +osName="android" #adb -s 513a205d shell "getprop ro.build.version.release" +osVersion="16" +brand="Xiaomi" #adb -s 513a205d shell "getprop ro.product.brand" +model="2509FPN0BC" #adb -s 513a205d shell "getprop ro.product.model" +manufacturer="Xiaomi" #adb -s 513a205d shell "getprop ro.product.manufacturer" + +[tool.glrocky.commands] +generateSchema = "uv run --reinstall-package glrocky-sdk pytest --co --generate-schema --continue-on-collection-errors" +startTest = "uv run pytest" + +[tool.glrocky.requirements] +devices = [] + +[tool.glrocky.project_settings] +screen-record-extra-commands = [ + "--window-x=1380", + "--window-y=50", + "--always-on-top", + "--disable-screensaver", + "--window-borderless", + "-m", + "600", + "--video-codec", + "h264", + "--video-bit-rate", + "5M", + "--max-fps", + "60", + "--time-limit", + "3600", + "--print-fps", + "--video-buffer", + "100", + "--no-audio-playback", + "--no-audio", +] + +[dependency-groups] +dev = ["ruff>=0.12.2"] diff --git a/scenarios/tc_generator.py b/scenarios/tc_generator.py new file mode 100644 index 0000000..5723dd9 --- /dev/null +++ b/scenarios/tc_generator.py @@ -0,0 +1,477 @@ +import os +import re +import sys +import json +import time +import concurrent.futures +from dataclasses import dataclass +from pathlib import Path + +from typing import Callable, Any + +import pytest +import yaml +from glrocky.core.logger import logger +from glrocky.framework.marks import Marks as M + +from glrocky.services.dify.dify import run_workflow +from loguru._logger import Logger +from pydantic import BaseModel, ConfigDict, Field, field_serializer, create_model +import socket + +PRODUCTION_ENV_NAME = "GLROCKY_PRODUCTION_MODE" +PRODUCTION_EXECUTOR = "192.168.0.139" +YAML_FILE = Path(__file__).parent / "test_cases.yaml" + +def _get_local_ip() -> str: + s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) + try: + s.connect(("8.8.8.8", 80)) + ip: str = s.getsockname()[0] + return str(ip) + finally: + s.close() + + +def _is_production_mode() -> bool: + env_val = os.getenv(PRODUCTION_ENV_NAME) + if env_val is not None: + return env_val.lower() in ("true", "yes", "1") + return _get_local_ip() == PRODUCTION_EXECUTOR + + +def pre_process_material(input: list[str]) -> str: + + assert isinstance(input, list) + if not input: + return json.dumps([], ensure_ascii=False) + result = [] + for text in input: + splited = _Q_PATTERN.split(text, maxsplit=50) + for part in splited: + if not part.strip(): + continue + result.append(part.strip()) + return json.dumps(result, ensure_ascii=False) + + +IS_PRODUCTION = _is_production_mode() + +METRIC_FIELD_MAPPING: dict[str, str] = { + "result": "result|结果", + "_dify_result": "_dify_result|业务完成", + "_dify_message": "_dify_message|业务错误信息", + "resultText": "resultText|文本结果", + "recordVideo": "recordVideo|录像", + "recordAudio": "recordAudio|录音", + "screenshotList": "screenshotList|截图", + "firstToken": "firstToken|首字符时长", + "timeSeries": "timeSeries|时间序列", + "fileList": "fileList|文件", +} + +IMAGE_EXTENSIONS = {".jpg", ".png", ".gif", ".bmp"} +VIDEO_EXTENSIONS = {".mp4", ".mkv"} +_Q_PATTERN = re.compile(r"Q\d+\s*[:：\.]+\s*", flags=re.MULTILINE) + + +@dataclass +class _TimeoutCtx: + client: Any = None + task_id: str | None = None + + def stop(self): + if self.client and self.task_id: + try: + logger.info(f"Stopping workflow: {self.task_id}") + self.client.stop_workflow(self.task_id) + logger.info(f"Stopped workflow: {self.task_id}") + except Exception as e: + logger.debug(f"Stop workflow failed: {e}") + + +class MetricManager: + def __init__(self, metric): + self.metric = metric + + def new_span(self, m_type: str = "default", m_id: str = "default", m_iter: int = 1): + self.metric.span(m_type, m_id, m_iter) + + def _smart_name_label(self, name: str, label: str | None) -> tuple[str, str]: + """retruns: (name,label)""" + if not name or not name.strip(): + raise ValueError("Empty name") + + if label: + return name, label + sep = next((s for s in ("|", ":") if s in name), None) + if sep: + _n, _l = name.split(sep, maxsplit=1) + return (_n, _l) + return name, name + + def _add_metric(self, name: str, value: Any, m_type: str, label: str | None = None): + _n, _l = self._smart_name_label(name, label) + self.metric.add(name=_n, label=_l, value=value, type=m_type) + + def add_text_metric(self, name: str, value: str, label: str | None = None): + self._add_metric(name, value, "text", label) + + def add_number_metric(self, name: str, value: float, label: str | None = None): + self._add_metric(name, value, "number", label) + + def add_image_metric(self, name: str, value: Path | str, label: str | None = None): + self._add_metric(name, str(value), "image", label) + + def add_video_metric(self, name: str, value: Path | str, label: str | None = None): + self._add_metric(name, value, "video", label) + + def send(self): + self.metric.send_all() + + def from_dict(self, the_dict: dict[str, Any]): + if not the_dict: + raise ValueError("dict is null") + for _k, v in the_dict.items(): + k = METRIC_FIELD_MAPPING.get(_k, _k) + logger.info(k) + + match v: + case None: + self.add_text_metric(name=k, value="") + case int() | float(): + self.add_number_metric(name=k, value=v) + case str(): + self.add_text_metric(name=k, value=v) + case Path(): + match v.suffix.lower(): + case s if s in IMAGE_EXTENSIONS: + self.add_image_metric(name=k, value=str(v.resolve())) + case s if s in VIDEO_EXTENSIONS: + self.add_video_metric(name=k, value=str(v.resolve())) + case _: + self.add_text_metric(name=k, value=str(v.resolve())) + case _: + raise TypeError(f"{type(v)} not supported") + + +class DifySettings(BaseModel): + difyUrl: str = Field( + title="Dify服务地址", + ) + difyWorkflowId: str = Field( + title="Dify工作流ID", + ) + difyApiKey: str = Field( + title="Dify API密钥", + ) + + +class MaterialForDify(BaseModel): + paramGroupUuid: list[str] = Field( + default_factory=list, title="UUID", description="UUID" + ) + inputTextList: list[str] = Field( + default_factory=list, + title="对话列表，支持多轮对话", + description="对话列表，支持多轮对话", + ) + prompt: list[str] = Field( + default_factory=list, title="提示词", description="提示词" + ) + model_config = ConfigDict(arbitrary_types_allowed=True) # allows uuid extra... + + +class DifyPayload(BaseModel): + inputTextList: list[str] | str + prompt: list[str] | str + address: str + caseId: str + parameters: dict[str, Any] |str| None = None + + @field_serializer("inputTextList") + def serialize_input_text(self, value: list[str] | str) -> str: + if isinstance(value, list): + return pre_process_material(value) + return value + + @field_serializer("prompt") + def serialize_prompt_as_single_str(self, value: list[str] | str) -> str: + if isinstance(value, list): + return value[0] if len(value) > 0 else "" + return value + + +def create_dynamic_model(model_name: str, parameters: list[dict]) -> type[BaseModel]: + field_definitions = {} + for idx, param in enumerate(parameters): + name: str = ( + param.get("name", "").strip() if isinstance(param.get("name"), str) else "" + ) + if not name: + raise ValueError(f"参数定义错误: 第 {idx + 1} 个参数缺少 'name' 字段或为空") + + label = ( + param.get("label", "").strip() + if isinstance(param.get("label"), str) + else name + ) + description = ( + param.get("description", label).strip() + if isinstance(param.get("description"), str) + else label + ) + param_type = ( + param.get("type", "string").strip() + if isinstance(param.get("type"), str) + else "string" + ) + + if param_type not in ("string",): + raise ValueError( + f"参数 '{name}' 不支持的类型 '{param_type}'，目前仅支持 'string'" + ) + + default = param.get("defaultValue", "") + if default and isinstance(default, str): + default = default.strip() + + field_definitions[name] = ( + str, + Field(default=default, title=label, description=description), + ) + + try: + model = create_model(model_name, __base__=BaseModel, **field_definitions) + model.model_config["extra"] = "ignore" + + model() + return model + except Exception as e: + raise ValueError(f"创建参数模型 '{model_name}' 失败: {e}") + + +def call_dify( + case_meta_info: dict[str, str], + logger: Logger, + material: list[MaterialForDify], + dify_cfg: DifySettings, + metric, + material_reporter, + parameters: dict[str, Any] | None = None, + timeout_sec: int | None = None, +): + # logger.info(device_info.device_serial) + logger.info(dify_cfg) + + event_callbacks: dict[str, Callable[..., None]] = {} + + def on_node_started(_, __, d: dict[str, Any]): + logger.info(f"开始执行:{d.get('title', '')}") + logger.info(f"输入节点参数：{d.get('inputs')}") + + def on_node_finished(_, __, d): + logger.info(f"结束执行:{d.get('title', '')}") + logger.info(f"节点输出：{d.get('outputs')}") + + event_callbacks["on_node_started"] = on_node_started + event_callbacks["on_node_finished"] = on_node_finished + + if timeout_sec: + ctx = _TimeoutCtx() + + def on_workflow_started(client, event_name, event_data): + logger.info("开始执行dify任务") + ctx.client = client + ctx.task_id = event_data.get("task_id") + + event_callbacks["on_workflow_started"] = on_workflow_started + if not material: + raise RuntimeError("缺少素材") + else: + logger.info(f"下发素材：{material}") + metric_manager = MetricManager(metric) + local_ip = _get_local_ip() + + for material_index, item in enumerate(material, 1): + paramGroupUuid = item.paramGroupUuid[0] + assert paramGroupUuid, "The param Group Uuid Value must be set." + + material_reporter.begin(paramGroupUuid) + dify_final_status = False + try: + # IMPORTANT: the group uuid for params + payload_data = { + **item.model_dump(), + "address": local_ip, + "caseId": case_meta_info.get("id", "Unknown"), + } + if parameters: + payload_data["parameters"] = json.dumps(parameters) + payload = DifyPayload(**payload_data) + logger.info(f"payload send to dify:\n{payload.model_dump_json(indent=2)}\n") + metric_manager.new_span( + "default", f"default-{material_index}", material_index + ) + + def _run_workflow(): + return run_workflow( + api_key=dify_cfg.difyApiKey, + base_url=dify_cfg.difyUrl, + workflow_id=dify_cfg.difyWorkflowId, + inputs=payload.model_dump(exclude_none=True), + event_callbacks=event_callbacks, + ) + + if timeout_sec: + with concurrent.futures.ThreadPoolExecutor(max_workers=1) as executor: + future = executor.submit(_run_workflow) + try: + result = future.result(timeout=timeout_sec) + except concurrent.futures.TimeoutError: + logger.error(f"Workflow timeout after {timeout_sec}s,(yaml config)") + time.sleep(0.1) + logger.info("尝试停止工作流...") + ctx.stop() + raise TimeoutError(f"Workflow timeout after {timeout_sec}s") + else: + result = _run_workflow() + logger.info(f"工作流返回结果:{result.outputs}") + logger.info(f"工作流最终状态:{result.success}") + + if result.outputs: + logger.info("提交结果到执行器") + metric_manager.from_dict(result.outputs) + metric.send_all() + logger.info("提交结果到执行器完成") + else: + logger.warning("dify 工作流无返回") + if not result.success: + logger.error(f"工作流执行失败:{result.error}") + dify_final_status = result.success + except Exception as e: + logger.error(e) + dify_final_status = False + continue # do not break next round + finally: + material_reporter.end_with(paramGroupUuid, dify_final_status) + + +def make_dify_test( + meta: dict[str, str], + dify_settings: DifySettings | None = None, + param_model: type[BaseModel] | None = None, + timeout: int | None = None, +) -> Callable[..., None]: + if param_model is None: + param_model = create_model("EmptyParams", __base__=BaseModel) + + @pytest.mark.usefixtures("cfg") + def _func_impl( + logger: Logger, + material: list[MaterialForDify], + metric, + material_reporter, + cfg: param_model, + ) -> None: + param_dict = cfg.model_dump() if cfg else {} + call_dify( + meta, + logger, + material, + dify_cfg=dify_settings, + metric=metric, + material_reporter=material_reporter, + parameters=param_dict, + timeout_sec=timeout, + ) + + # always use cfg fixture + # _func_impl = pytest.mark.usefixtures("cfg")(_func_impl) + return M.meta(**meta)(_func_impl) + + +def make_skip_test(meta: dict[str, str]) -> Callable[..., None]: + @M.skip(reason=f"{meta['id']} 未实现") + @M.meta(**meta) + def _func( + logger: Logger, + material: list[MaterialForDify], + metric, + ) -> None: + + assert False, "not implemented" + + return _func + + +def generate_cases_from_yaml(module_name: str, yaml_path: Path): + if not yaml_path.exists(): + logger.warning(f"Test case definition file not found: {yaml_path}") + return + + try: + with open(file=yaml_path, mode="r", encoding="utf-8") as f: + all_cases: list[dict[str, Any]] = yaml.safe_load( # pyright: ignore[reportAny] + f + ) + except yaml.YAMLError as e: + logger.error(f"Failed to parse YAML file {yaml_path}: {e}") + pytest.fail(f"YAML解析失败: {yaml_path}") + return + if not all_cases: + return + for case_info in all_cases.get("cases", []): + if not isinstance(case_info, dict): + logger.debug(f"Skipping non-dictionary item in YAML file: {case_info}") + continue + case_id: str = case_info.get("id", "") + if not case_id: + logger.warning(f"用例 缺少 case_id 字段。{case_info=}") + pytest.fail(f"用例 缺少 case_id 字段。{case_info=}") + description: str = case_info.get("description", "") + if not description: + logger.warning(f"用例{case_id} 缺少 description 字段。") + pytest.fail(f"用例{case_id} 缺少 description 字段。") + action: str = case_info.get("action", "skipped") + + meta = {"id": case_id, "description": description} + fn_name = f"test_{case_id.lower().replace('-', '_')}" + + if action == "dify": + dify_settings: DifySettings | None = None + param_model: type[BaseModel] | None = None + timeout = case_info.get("timeout") + + if parameters_def := case_info.get("parameters"): + model_name = f"{case_id.replace('-', '_')}_Params" + param_model = create_dynamic_model(model_name, parameters_def) + + if dify_config_block := case_info.get("dify_config"): + env_key = "production" if IS_PRODUCTION else "testing" + if env_config := dify_config_block.get(env_key): + dify_settings = DifySettings( + difyUrl=env_config.get("url"), + difyWorkflowId=env_config.get("workflow_id"), + difyApiKey=env_config.get("api_key"), + ) + else: + logger.warning( + f"No '{env_key}' config found for {case_id}, will use default." + ) + fn = make_dify_test(meta, dify_settings, param_model, timeout) + elif action == "skipped": + fn = make_skip_test(meta) + elif action == "custom": + logger.info(f"Case {case_id} is a custom test.") + continue + else: + logger.warning(f"Unknown action '{action}' for case {case_id}. Skipping.") + continue + + setattr(sys.modules[module_name], fn_name, fn) + logger.info(f"Generated {fn_name} for {case_id} with action '{action}'") + + + +generate_cases_from_yaml(__name__, YAML_FILE) diff --git a/scenarios/test_cases.yaml b/scenarios/test_cases.yaml new file mode 100644 index 0000000..9878e1d --- /dev/null +++ b/scenarios/test_cases.yaml @@ -0,0 +1,15 @@ +dify_templates: + tianjin_dify_config: &testing_config + url: "http://192.168.0.213:8090/v1" + workflow_id: "2ca605b8-3354-4a8a-92b8-b4bbb37cce94" + api_key: "app-xTY5Wsl9QdJaVULU6C5IpXOz" +cases: + - id: TC-0201-img + description: 日程管理 + category: AI办公.日程管理 + action: dify + dify_config: + testing: + url: "http://192.168.0.213:8090/v1" + workflow_id: "2ca605b8-3354-4a8a-92b8-b4bbb37cce94" + api_key: "app-xTY5Wsl9QdJaVULU6C5IpXOz" diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..f94cc5d --- /dev/null +++ b/uv.lock @@ -0,0 +1,523 @@ +version = 1 +revision = 2 +requires-python = "==3.12.6" + 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