feat: show shortage names and explain unavailable delivery results

This commit is contained in:
ar51
2026-10-08 16:37:20 +08:00
parent f35351d540
commit ad7c45d2d6
4 changed files with 361 additions and 34 deletions

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@@ -26,6 +26,8 @@ Expected:
- Feishu output uses rich-text `post`; the report title, overall-judgment heading, numbered candidate headings, and unavailable-candidate heading are bold; - Feishu output uses rich-text `post`; the report title, overall-judgment heading, numbered candidate headings, and unavailable-candidate heading are bold;
- the judgment level and fixed disclaimer provide the global human-review boundary; - the judgment level and fixed disclaimer provide the global human-review boundary;
- inventory output is limited to summary-level available quantity and coverage; non-reducer shortage output never exposes material codes or raw ERP details; - inventory output is limited to summary-level available quantity and coverage; non-reducer shortage output never exposes material codes or raw ERP details;
- each usable model includes `缺料物料明细` listing only names from the API shortage records (`物料名称`, with `缺料物料名称` as the fallback), preserving order and deduplicating names; the same behavior applies to continuation replies;
- missing names are reported explicitly without substituting codes or inferring names; an empty shortage list says `API未返回缺料记录`, and missing shortage data or invalid BOM keeps the unavailable-data reminder;
- reducer shortages are the sole exception: when `缺料物料` starts with `20.30.`, output only the reducer code, inventory, inspection, in-transit, existing-demand quantities, and in-transit coverage conclusion in the Skill-defined order; - reducer shortages are the sole exception: when `缺料物料` starts with `20.30.`, output only the reducer code, inventory, inspection, in-transit, existing-demand quantities, and in-transit coverage conclusion in the Skill-defined order;
- shortage items outside the `20.30.` reducer prefix never expose their material codes or quantity details; - shortage items outside the `20.30.` reducer prefix never expose their material codes or quantity details;
- result is marked as internal candidate; - result is marked as internal candidate;
@@ -38,7 +40,7 @@ Expected:
- the appended record contains query metadata, model parsing, and a complete Markdown table with one row per model queried in the current batch; - the appended record contains query metadata, model parsing, and a complete Markdown table with one row per model queried in the current batch;
- each future appended candidate row records the same query-completion time in `YYYY-MM-DD HH:mm:ss +0800` form (with the actual local UTC offset), without rewriting or backfilling historical records; - each future appended candidate row records the same query-completion time in `YYYY-MM-DD HH:mm:ss +0800` form (with the actual local UTC offset), without rewriting or backfilling historical records;
- record-table columns follow this order: 序号、记录时间、型号、推荐类型、差异项、API状态、AM516预测交期、可用库存、主导因素; - record-table columns follow this order: 序号、记录时间、型号、推荐类型、差异项、API状态、AM516预测交期、可用库存、主导因素;
- unavailable candidates remain in their original rule order and are recorded as `❌ 不存在` with unavailable result fields shown as `—`; - unavailable candidates remain in their original rule order and are recorded as `❌ 不可用` with unavailable result fields shown as `—`; lack of a result does not itself establish that the model does not exist;
## Sample 1B | API Workdays And Final Delivery Date ## Sample 1B | API Workdays And Final Delivery Date
@@ -51,6 +53,9 @@ Rules and expected results:
- a valid API date in another calendar year remains usable without a local holiday calendar; - a valid API date in another calendar year remains usable without a local holiday calendar;
- accept zero workdays; reject negative, fractional, boolean, or non-numeric workday values and invalid dates; - accept zero workdays; reject negative, fractional, boolean, or non-numeric workday values and invalid dates;
- if either new field is missing or invalid, report the lead-time result as unavailable instead of falling back to old fields or estimating; - if either new field is missing or invalid, report the lead-time result as unavailable instead of falling back to old fields or estimating;
- a stopped original-model reply includes `原因:` identifying each missing, empty, or invalid field and a suggestion to check the API data; no record is appended;
- each unavailable candidate is listed with its own reason; HTTP 404 or missing fields must not be summarized as a confirmed nonexistent model;
- controlled-query failures show their safe category (configuration, authentication/permissions, HTTP, TLS, DNS/network, timeout, or JSON format), without displaying raw response bodies or secret-bearing error strings;
- choose the fastest candidate using the API workday count, even when the natural-day totals would rank candidates differently. - choose the fastest candidate using the API workday count, even when the natural-day totals would rank candidates differently.
## Sample 1A | Continue With Other Candidates ## Sample 1A | Continue With Other Candidates

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@@ -118,6 +118,22 @@ Do not use temporary curl, WebFetch, or any API method outside the controlled sc
- Missing or unsupported models count as queried positions and remain summarized - Missing or unsupported models count as queried positions and remain summarized
under `不可用候选`; do not silently skip them to pull later candidates forward. under `不可用候选`; do not silently skip them to pull later candidates forward.
## Unavailable Result Reasons
- When the original model has no usable result, stop before recording and include a separate `原因:` line. Identify missing or empty `data` / `交期汇总` objects, or each missing, empty, or invalid required workday/date field. If old lead-time fields were returned, explain that they cannot substitute for the required fields.
- Mention missing BOM only when the response explicitly marks it as absent. Field omissions alone do not establish that a model does not exist or that materials are short.
- Preserve a separate reason for every unavailable candidate in initial and continuation replies; do not merge them into `不存在或接口未返回交期汇总`.
- For controlled-query failures, explain the known category: missing API Key, HTTP status and its meaning, TLS validation, DNS/connection failure, timeout, or response-format failure. Do not copy raw error messages, response bodies, secrets, or ERP details into replies.
- If no deeper service-side cause can be confirmed, explicitly say it was not provided and needs runtime/service-log verification. Do not invent a business cause. Keep the fixed disclaimer once at the end.
## Shortage Material Names Rule
- For every usable model, add `缺料物料明细` using only names from `data.采购信息.缺料明细[]`. Read `物料名称`, or `缺料物料名称` when the former is absent or blank.
- Preserve the API order, omit duplicate names, and display names separated by `;`. Include both reducer and non-reducer shortage names.
- Do not substitute material codes, infer names from code prefixes, or list materials from the complete BOM. This added detail contains no codes, quantities, or specifications.
- If some shortage records lack a nonblank string name, retain the available names and state how many records did not return a name. If all names are missing, state `N项缺料记录未返回物料名称,需人工复核`.
- If the shortage list is empty, state `API未返回缺料记录`; missing shortage data or an invalid BOM retains the existing unavailable-data reminder. Do not infer that missing data means no shortage.
## Reducer Shortage Detail Rule ## Reducer Shortage Detail Rule
- Treat a shortage item as a reducer only when `data.采购信息.缺料明细[].缺料物料` starts with `20.30.`. - Treat a shortage item as a reducer only when `data.采购信息.缺料明细[].缺料物料` starts with `20.30.`.
@@ -172,6 +188,7 @@ Use this field order for a successful Feishu report:
- 主导因素:{main factor} - 主导因素:{main factor}
- 推荐理由:{rule-based recommendation reason} - 推荐理由:{rule-based recommendation reason}
- 差异项:{field changes formatted as `字段 原值→新值`; join multiple changes with `;`, for example `编码器 HS→HM;品牌 DZ→LF`} - 差异项:{field changes formatted as `字段 原值→新值`; join multiple changes with `;`, for example `编码器 HS→HM;品牌 DZ→LF`}
- 缺料物料明细:{shortage material names only, separated by `;`; report missing names explicitly}
- 减速器缺料展开:{only for shortage material codes starting with `20.30.`; otherwise do not expand material details} - 减速器缺料展开:{only for shortage material codes starting with `20.30.`; otherwise do not expand material details}
- 需客户确认的关键差异:{customer confirmation item} - 需客户确认的关键差异:{customer confirmation item}

View File

@@ -458,6 +458,47 @@ def model_difference_text(source_model: str, candidate_model: str) -> str:
return ";".join(differences) if differences else "无" return ";".join(differences) if differences else "无"
def query_failure_reason(payload: dict[str, Any]) -> str:
"""Translate known failure categories without echoing raw API bodies or secrets."""
error = payload.get("error")
error = error.lower() if isinstance(error, str) else ""
if error.startswith("missing api key:"):
return "运行环境未配置交期预测 API Key,请由运行维护人员完成配置后重试。"
if error == "tls certificate verification failed":
return "TLS 证书验证失败,请检查运行环境的证书信任配置。"
if error == "tls verification bypass is not permitted for this target host":
return "请求目标不满足已批准的域名和 TLS 校验要求,请检查接口配置。"
status = payload.get("status_code")
http_reasons = {
400: "接口拒绝请求参数",
401: "接口身份认证失败,请检查 API Key 是否有效",
403: "接口拒绝访问,请检查账号或 API Key 权限",
404: "请求的接口或资源未找到;接口未说明是否为型号不存在",
422: "请求参数未通过接口校验",
429: "接口请求频率受限,请稍后重试",
}
if isinstance(status, int) and not isinstance(status, bool):
if status in http_reasons:
return f"HTTP {status}:{http_reasons[status]}。"
if 500 <= status <= 599:
return f"HTTP {status}:交期预测服务异常,请稍后重试。"
return f"接口返回 HTTP {status},未提供可安全展示的具体原因。"
if error.startswith("request failed:"):
if "timed out" in error or "timeout" in error:
return "交期预测接口请求超时,请稍后重试。"
if any(
token in error
for token in ("name or service not known", "nodename nor servname", "name resolution", "getaddrinfo")
):
return "接口域名解析失败,请检查运行环境的网络和 DNS 配置。"
return "网络连接失败,请检查运行环境的网络、代理和接口可达性。"
if error.startswith("response is not valid json:"):
return "接口响应不是有效 JSON,无法读取交期结果。"
if payload.get("success") is False:
return "接口标记本次查询失败(success=false),未提供可安全展示的具体原因,需核对服务端日志。"
return "受控查询脚本执行失败,未提供可安全展示的具体原因,需核对运行日志。"
def run_controlled_query(request: RequestInput) -> dict[str, Any]: def run_controlled_query(request: RequestInput) -> dict[str, Any]:
completed = subprocess.run( completed = subprocess.run(
[ [
@@ -477,18 +518,25 @@ def run_controlled_query(request: RequestInput) -> dict[str, Any]:
output = completed.stdout.strip() output = completed.stdout.strip()
json_start = output.find("{") json_start = output.find("{")
if json_start < 0: if json_start < 0:
raise RuntimeError("交期预测接口请求失败,未生成候选结果。") reason = (
"受控查询脚本缺少运行依赖,请检查 Python 环境。"
if "ModuleNotFoundError" in completed.stderr
else "受控查询脚本未输出 JSON 结果,请检查运行环境和脚本日志。"
)
raise RuntimeError(f"未生成候选结果。\n原因:{reason}")
try: try:
payload = json.loads(output[json_start:]) payload = json.loads(output[json_start:])
except json.JSONDecodeError as exc: except json.JSONDecodeError as exc:
raise RuntimeError("交期预测接口返回格式异常,未生成候选结果。") from exc raise RuntimeError("未生成候选结果。\n原因:受控查询脚本输出的 JSON 格式异常。") from exc
if not isinstance(payload, dict):
raise RuntimeError("未生成候选结果。\n原因:接口响应的顶层数据不是对象。")
if completed.returncode != 0 or not payload.get("ok", True): if completed.returncode != 0 or not payload.get("ok", True):
status_code = payload.get("status_code") status_code = payload.get("status_code")
if status_code in {400, 404, 422}: if isinstance(status_code, int) and status_code in {400, 404, 422}:
raise CandidateUnavailableError("不存在或接口未返回交期汇总") raise CandidateUnavailableError(query_failure_reason(payload))
raise RuntimeError("交期预测接口请求失败,未生成候选结果。") raise RuntimeError(f"未生成候选结果。\n原因:{query_failure_reason(payload)}")
if payload.get("success") is False: if payload.get("success") is False:
raise CandidateUnavailableError("不存在或接口未返回交期汇总") raise CandidateUnavailableError(query_failure_reason(payload))
return payload return payload
@@ -501,10 +549,81 @@ def whole_day_count(value: Any) -> int | None:
return result if result >= 0 else None return result if result >= 0 else None
def valid_delivery_date(value: Any) -> str | None:
if not isinstance(value, str) or not re.fullmatch(r"[0-9]{4}-[0-9]{2}-[0-9]{2}", value):
return None
try:
date.fromisoformat(value)
except ValueError:
return None
return value
def lead_time_unavailable_reason(payload: dict[str, Any]) -> str | None:
if "data" not in payload:
return "接口响应缺少 data 字段,无法读取交期汇总。"
data = payload.get("data")
if data is None:
return "接口响应的 data 为空,无法读取交期汇总。"
if not isinstance(data, dict):
return "接口响应的 data 格式错误(应为数据对象),无法读取交期汇总。"
if "交期汇总" not in data:
return "接口数据缺少“交期汇总”字段。"
summary = data.get("交期汇总")
if summary is None:
return "接口返回的“交期汇总”为空。"
if not isinstance(summary, dict):
return "接口返回的“交期汇总”格式错误(应为数据对象)。"
reasons: list[str] = []
for field, validator, requirement in (
("AM516工作日交期", whole_day_count, "应为非负整数工作日"),
("AM516最终交货日期", valid_delivery_date, "应为有效的 YYYY-MM-DD 日期"),
):
if field not in summary:
reasons.append(f"缺少“{field}”字段")
elif summary[field] is None or summary[field] == "":
reasons.append(f"“{field}”返回空值")
elif validator(summary[field]) is None:
reasons.append(f"“{field}”值无效({requirement})")
if not reasons:
return None
if any(field in summary for field in ("AM516预测交期", "AM516总交期", "总交期")):
reasons.append("已返回旧交期或自然日字段,无法替代上述必需字段")
bom = data.get("BOM信息")
if isinstance(bom, dict) and bom.get("是否有BOM(False则需提醒无BOM)") is False:
reasons.append("接口同时标记无有效 BOM,需核对 BOM 数据")
return ";".join(reasons) + "。"
def shortage_material_names_line(shortages: list[Any]) -> str:
"""Show only names from shortage records, never codes or other raw fields."""
names: list[str] = []
missing_names = 0
for item in shortages:
name = None
if isinstance(item, dict):
for key in ("物料名称", "缺料物料名称"):
value = item.get(key)
if isinstance(value, str) and value.strip():
name = " ".join(value.split())
break
if name is None:
missing_names += 1
elif name not in names:
names.append(name)
text = ";".join(names)
if missing_names:
missing_text = f"{missing_names}项缺料记录未返回物料名称,需人工复核"
text = f"{text}(另有{missing_text})" if text else missing_text
return f"- 缺料物料明细:{text}"
def lead_time_details( def lead_time_details(
payload: dict[str, Any], payload: dict[str, Any],
requested_quantity: int, requested_quantity: int,
) -> dict[str, Any]: ) -> dict[str, Any]:
unavailable_reason = lead_time_unavailable_reason(payload)
data = payload.get("data") data = payload.get("data")
if not isinstance(data, dict): if not isinstance(data, dict):
return { return {
@@ -520,6 +639,7 @@ def lead_time_details(
"evidence_lines": ["- 缺料/BOM摘要:接口未返回,需人工复核。"], "evidence_lines": ["- 缺料/BOM摘要:接口未返回,需人工复核。"],
"timestamp": None, "timestamp": None,
"has_lead_time": False, "has_lead_time": False,
"unavailable_reason": unavailable_reason,
} }
summary = data.get("交期汇总") summary = data.get("交期汇总")
if not isinstance(summary, dict): if not isinstance(summary, dict):
@@ -536,6 +656,7 @@ def lead_time_details(
"evidence_lines": ["- 缺料/BOM摘要:接口未返回,需人工复核。"], "evidence_lines": ["- 缺料/BOM摘要:接口未返回,需人工复核。"],
"timestamp": data.get("时间戳") if isinstance(data.get("时间戳"), str) else None, "timestamp": data.get("时间戳") if isinstance(data.get("时间戳"), str) else None,
"has_lead_time": False, "has_lead_time": False,
"unavailable_reason": unavailable_reason,
} }
main_factor = summary.get("AM516主导因素") main_factor = summary.get("AM516主导因素")
@@ -548,19 +669,12 @@ def lead_time_details(
if total_days is None: if total_days is None:
total_days = whole_day_count(summary.get("总交期")) total_days = whole_day_count(summary.get("总交期"))
workdays = whole_day_count(summary.get("AM516工作日交期")) workdays = whole_day_count(summary.get("AM516工作日交期"))
delivery_date = summary.get("AM516最终交货日期") delivery_date = valid_delivery_date(summary.get("AM516最终交货日期"))
if isinstance(delivery_date, str) and re.fullmatch(r"[0-9]{4}-[0-9]{2}-[0-9]{2}", delivery_date):
try:
date.fromisoformat(delivery_date)
except ValueError:
delivery_date = None
else:
delivery_date = None
if workdays is not None and delivery_date is not None: if workdays is not None and delivery_date is not None:
prediction_value = f"{workdays}个工作日,最终交货日期:{delivery_date}" prediction_value = f"{workdays}个工作日,最终交货日期:{delivery_date}"
prediction = f"AM516预测交期:{prediction_value}" prediction = f"AM516预测交期:{prediction_value}"
else: else:
prediction = "接口未返回有效工作日交期和最终交货日期,需人工复核。" prediction = f"接口未返回有效工作日交期和最终交货日期,需人工复核。原因:{unavailable_reason}"
prediction_value = None prediction_value = None
inventory_info = data.get("库存信息") inventory_info = data.get("库存信息")
@@ -602,7 +716,7 @@ def lead_time_details(
and isinstance(item.get("缺料物料"), str) and isinstance(item.get("缺料物料"), str)
and item["缺料物料"].startswith("20.30.") and item["缺料物料"].startswith("20.30.")
] ]
evidence_lines = [] evidence_lines = [shortage_material_names_line(shortages)]
real_shortage_key = ( real_shortage_key = (
"真实缺料数量(每套需求×订单数量 + 存量需求数量 − 库存数量 − 待检数量 − 在途数量)" "真实缺料数量(每套需求×订单数量 + 存量需求数量 − 库存数量 − 待检数量 − 在途数量)"
) )
@@ -624,12 +738,8 @@ def lead_time_details(
f"存量需求数量{item.get('存量需求数量', '未返回')};" f"存量需求数量{item.get('存量需求数量', '未返回')};"
f"含在途覆盖:{coverage};" f"含在途覆盖:{coverage};"
) )
if not evidence_lines:
evidence_lines = [
f"- 缺料/BOM摘要:存在{len(shortages)}项缺料记录;无减速器缺料,不展开其他物料。"
]
elif isinstance(shortages, list): elif isinstance(shortages, list):
evidence_lines = ["- 缺料/BOM摘要:API未返回缺料记录。"] evidence_lines = ["- 缺料物料明细:API未返回缺料记录。"]
else: else:
evidence_lines = ["- 缺料/BOM摘要:接口未返回可识别缺料汇总,需人工复核。"] evidence_lines = ["- 缺料/BOM摘要:接口未返回可识别缺料汇总,需人工复核。"]
@@ -649,6 +759,7 @@ def lead_time_details(
"evidence_lines": evidence_lines, "evidence_lines": evidence_lines,
"timestamp": timestamp, "timestamp": timestamp,
"has_lead_time": prediction_value is not None, "has_lead_time": prediction_value is not None,
"unavailable_reason": unavailable_reason,
} }
@@ -804,7 +915,7 @@ def render_record(
candidate["model"], candidate["model"],
candidate["type"], candidate["type"],
candidate["difference"], candidate["difference"],
"❌ 不存在", "❌ 不可用",
"—", "—",
"—", "—",
"—", "—",
@@ -848,13 +959,20 @@ def build_report(request: RequestInput, candidate_offset: int = 0) -> str:
candidates: list[dict[str, Any]] = [] candidates: list[dict[str, Any]] = []
baseline: dict[str, Any] | None = None baseline: dict[str, Any] | None = None
if is_initial_batch: if is_initial_batch:
try:
baseline_payload = run_controlled_query(request) baseline_payload = run_controlled_query(request)
except CandidateUnavailableError as exc:
raise RuntimeError(f"原型号未生成候选结果。\n原因:{exc}") from exc
baseline = lead_time_details( baseline = lead_time_details(
baseline_payload, baseline_payload,
request.quantity, request.quantity,
) )
if not baseline["has_lead_time"]: if not baseline["has_lead_time"]:
raise RuntimeError("原型号接口未返回有效工作日交期和最终交货日期,未生成候选结果。") raise RuntimeError(
"原型号接口未返回有效工作日交期和最终交货日期,未生成候选结果。\n"
f"原因:{baseline['unavailable_reason']}\n"
"处理建议:请接口维护人员核对上述字段及服务端计算结果后重试。"
)
candidates.append( candidates.append(
{ {
"index": 1, "index": 1,
@@ -873,13 +991,15 @@ def build_report(request: RequestInput, candidate_offset: int = 0) -> str:
def query_candidate(spec: dict[str, str]) -> tuple[dict[str, str], dict[str, Any] | None]: def query_candidate(spec: dict[str, str]) -> tuple[dict[str, str], dict[str, Any] | None]:
try: try:
payload = run_controlled_query(RequestInput(spec["model"], request.quantity)) payload = run_controlled_query(RequestInput(spec["model"], request.quantity))
except CandidateUnavailableError: except CandidateUnavailableError as exc:
return spec, None return {**spec, "unavailable_reason": str(exc)}, None
details = lead_time_details( details = lead_time_details(
payload, payload,
request.quantity, request.quantity,
) )
return spec, details if details["has_lead_time"] else None if not details["has_lead_time"]:
return {**spec, "unavailable_reason": details["unavailable_reason"]}, None
return spec, details
if candidate_specs: if candidate_specs:
with concurrent.futures.ThreadPoolExecutor( with concurrent.futures.ThreadPoolExecutor(
@@ -959,11 +1079,8 @@ def build_report(request: RequestInput, candidate_offset: int = 0) -> str:
report_lines.extend(candidate_report_lines(candidate_item, request.quantity)) report_lines.extend(candidate_report_lines(candidate_item, request.quantity))
report_lines.append("不可用候选:") report_lines.append("不可用候选:")
if unavailable: if unavailable:
preview = " / ".join(item["model"] for item in unavailable[:5]) for item in unavailable:
suffix = f" 等{len(unavailable)}项" if len(unavailable) > 5 else "" report_lines.append(f"- {item['model']}:原因:{item['unavailable_reason']}")
report_lines.append(
f"- {preview}{suffix}:不存在或接口未返回交期汇总。"
)
else: else:
report_lines.append("- 无(本次已查询候选均返回交期汇总)") report_lines.append("- 无(本次已查询候选均返回交期汇总)")
if remaining_count: if remaining_count:
@@ -1178,7 +1295,10 @@ def handle_message(client: lark.Client, data: lark.im.v1.P2ImMessageReceiveV1) -
except RuntimeError as exc: except RuntimeError as exc:
report = f"AM516 内部候选查询已停止:{exc}\n\n{DISCLAIMER}" report = f"AM516 内部候选查询已停止:{exc}\n\n{DISCLAIMER}"
except subprocess.TimeoutExpired: except subprocess.TimeoutExpired:
report = f"AM516 内部候选查询已停止:交期预测接口超时,未生成候选结果。\n\n{DISCLAIMER}" report = (
"AM516 内部候选查询已停止,未生成候选结果。\n"
f"原因:受控交期查询超过45秒未完成,请稍后重试。\n\n{DISCLAIMER}"
)
except Exception: except Exception:
logging.exception("Unexpected AM516 bridge error") logging.exception("Unexpected AM516 bridge error")
report = f"AM516 内部候选查询已停止:运行异常,未生成候选结果。\n\n{DISCLAIMER}" report = f"AM516 内部候选查询已停止:运行异常,未生成候选结果。\n\n{DISCLAIMER}"

View File

@@ -463,6 +463,191 @@ class CandidateBatchTests(unittest.TestCase):
self.assertNotIn(model, report) self.assertNotIn(model, report)
class UnavailableReasonTests(unittest.TestCase):
def test_missing_empty_and_invalid_required_fields_have_specific_reasons(self) -> None:
cases = [
("AM516工作日交期", "missing", "缺少“AM516工作日交期”字段"),
("AM516工作日交期", None, "“AM516工作日交期”返回空值"),
("AM516工作日交期", -1, "应为非负整数工作日"),
("AM516工作日交期", True, "应为非负整数工作日"),
("AM516最终交货日期", "missing", "缺少“AM516最终交货日期”字段"),
("AM516最终交货日期", "", "“AM516最终交货日期”返回空值"),
("AM516最终交货日期", "2026-02-30", "应为有效的 YYYY-MM-DD 日期"),
]
for field, value, expected in cases:
with self.subTest(field=field, value=value):
payload = successful_payload()
if value == "missing":
del payload["data"]["交期汇总"][field]
else:
payload["data"]["交期汇总"][field] = value
reason = bridge.lead_time_details(payload, 10)["unavailable_reason"]
self.assertIn(expected, reason)
self.assertNotIn("型号不存在", reason)
self.assertIn("无法替代上述必需字段", reason)
def test_missing_data_summary_and_bom_are_reported_from_response_evidence(self) -> None:
for payload, expected in (
({}, "缺少 data 字段"),
({"data": None}, "data 为空"),
({"data": []}, "data 格式错误"),
({"data": {}}, "缺少“交期汇总”字段"),
({"data": {"交期汇总": None}}, "“交期汇总”为空"),
({"data": {"交期汇总": []}}, "“交期汇总”格式错误"),
):
with self.subTest(payload=payload):
self.assertIn(expected, bridge.lead_time_details(payload, 10)["unavailable_reason"])
payload = successful_payload()
del payload["data"]["交期汇总"]["AM516工作日交期"]
payload["data"]["BOM信息"]["是否有BOM(False则需提醒无BOM)"] = False
self.assertIn("接口同时标记无有效 BOM", bridge.lead_time_details(payload, 10)["unavailable_reason"])
def test_controlled_query_failure_reasons_do_not_echo_raw_error_content(self) -> None:
cases = [
({"ok": False, "error": "missing API key: SECRET_MARKER"}, "未配置交期预测 API Key"),
({"ok": False, "status_code": 401}, "身份认证失败"),
({"ok": False, "status_code": 403}, "拒绝访问"),
({"ok": False, "status_code": 404}, "接口未说明是否为型号不存在"),
({"ok": False, "status_code": 429}, "请求频率受限"),
({"ok": False, "status_code": 503}, "服务异常"),
({"ok": False, "error": "TLS certificate verification failed"}, "TLS 证书验证失败"),
({"ok": False, "error": "request failed: nodename nor servname provided SECRET_MARKER"}, "域名解析失败"),
({"ok": False, "error": "request failed: timed out SECRET_MARKER"}, "请求超时"),
({"success": False, "message": "SECRET_MARKER"}, "未提供可安全展示的具体原因"),
]
request = bridge.RequestInput(model="eRob70H120I-BHM-18CT[V5]", quantity=25)
for payload, expected in cases:
with self.subTest(payload=payload):
payload["body_preview"] = "SECRET_MARKER sensitive raw data"
completed = SimpleNamespace(
stdout=bridge.json.dumps(payload), stderr="SECRET_MARKER", returncode=1 if payload.get("ok") is False else 0,
)
with mock.patch.object(bridge.subprocess, "run", return_value=completed):
with self.assertRaises(RuntimeError) as caught:
bridge.run_controlled_query(request)
self.assertIn(expected, str(caught.exception))
self.assertNotIn("SECRET_MARKER", str(caught.exception))
def test_stopped_feishu_reply_includes_actual_missing_field_and_no_record(self) -> None:
payload = successful_payload()
del payload["data"]["交期汇总"]["AM516工作日交期"]
data = message_event("om_reason", "oc_reason", "ou_reason")
with (
mock.patch.object(bridge, "message_text", return_value="eRob70H120I-BHM-18CT[V5] 25台"),
mock.patch.object(bridge, "add_received_reaction"),
mock.patch.object(bridge, "run_controlled_query", return_value=payload),
mock.patch.object(bridge, "write_record") as write_record,
mock.patch.object(bridge, "reply") as reply,
):
bridge.handle_message("client", data)
report = reply.call_args.args[2]
self.assertIn("原因:缺少“AM516工作日交期”字段", report)
self.assertIn("处理建议", report)
self.assertEqual(report.count(bridge.DISCLAIMER), 1)
write_record.assert_not_called()
def test_each_unavailable_candidate_keeps_its_own_reason(self) -> None:
request = bridge.RequestInput(model="eRob70H50I-FS-18CN[V5]", quantity=10)
specs = bridge.generate_candidate_specs(request.model)
def query(query_request: bridge.RequestInput) -> dict[str, object]:
payload = successful_payload()
if query_request.model == specs[0]["model"]:
raise bridge.CandidateUnavailableError("HTTP 422:请求参数未通过接口校验。")
if query_request.model == specs[1]["model"]:
del payload["data"]["交期汇总"]["AM516最终交货日期"]
return payload
with (
mock.patch.object(bridge, "run_controlled_query", side_effect=query),
mock.patch.object(bridge, "write_record"),
):
report = bridge.build_report(request)
self.assertIn(f"- {specs[0]['model']}:原因:HTTP 422", report)
self.assertIn(f"- {specs[1]['model']}:原因:缺少“AM516最终交货日期”字段", report)
self.assertNotIn("不存在或接口未返回", report)
class ShortageMaterialNamesTests(unittest.TestCase):
def test_all_shortage_names_are_shown_without_non_reducer_raw_fields(self) -> None:
payload = successful_payload()
payload["data"]["采购信息"]["缺料明细"] = [
{"缺料物料": "20.30.00157", "物料名称": "减速器", "库存数量": 11},
{"缺料物料": "20.40.00999", "物料名称": " 编码器 ", "库存数量": 9876},
{"缺料物料": "20.50.00888", "缺料物料名称": "轴承", "在途数量": 8765},
{"缺料物料": "20.40.00777", "物料名称": "编码器"},
]
lines = bridge.lead_time_details(payload, requested_quantity=10)["evidence_lines"]
self.assertEqual(lines[0], "- 缺料物料明细:减速器;编码器;轴承")
self.assertIn("减速器缺料展开:物料编码20.30.00157;库存数量11;", lines[1])
for raw_value in ("20.40.00999", "20.50.00888", "20.40.00777", "9876", "8765"):
self.assertNotIn(raw_value, "\n".join(lines))
def test_missing_names_never_fall_back_to_codes_or_claim_no_shortage(self) -> None:
for valid_name in (False, True):
with self.subTest(valid_name=valid_name):
payload = successful_payload()
shortages = [
{"缺料物料": "20.40.00999"},
{"物料名称": " "},
{"物料名称": 123},
None,
]
if valid_name:
shortages.append({"物料名称": "轴承"})
payload["data"]["采购信息"]["缺料明细"] = shortages
lines = bridge.lead_time_details(payload, requested_quantity=10)["evidence_lines"]
expected = "4项缺料记录未返回物料名称,需人工复核"
if valid_name:
expected = f"轴承(另有{expected})"
self.assertEqual(lines, [f"- 缺料物料明细:{expected}"])
def test_empty_missing_and_invalid_bom_remain_distinct(self) -> None:
payload = successful_payload()
lines = bridge.lead_time_details(payload, requested_quantity=10)["evidence_lines"]
self.assertEqual(lines, ["- 缺料物料明细:API未返回缺料记录。"])
del payload["data"]["采购信息"]["缺料明细"]
lines = bridge.lead_time_details(payload, requested_quantity=10)["evidence_lines"]
self.assertIn("接口未返回可识别缺料汇总", lines[0])
payload["data"]["BOM信息"]["是否有BOM(False则需提醒无BOM)"] = False
payload["data"]["采购信息"]["缺料明细"] = [{"物料名称": "轴承"}]
lines = bridge.lead_time_details(payload, requested_quantity=10)["evidence_lines"]
self.assertIn("API未返回有效BOM", lines[0])
self.assertNotIn("轴承", "\n".join(lines))
def test_initial_and_continuation_reports_keep_names_under_their_model(self) -> None:
request = bridge.RequestInput(model="eRob70H50I-FS-18CN[V5]", quantity=10)
def query(query_request: bridge.RequestInput) -> dict[str, object]:
payload = successful_payload()
payload["data"]["采购信息"]["缺料明细"] = [
{"物料名称": f"样例物料-{query_request.model}"}
]
return payload
for offset in (0, bridge.CANDIDATE_BATCH_SIZE):
with (
self.subTest(offset=offset),
mock.patch.object(bridge, "run_controlled_query", side_effect=query) as run_query,
mock.patch.object(bridge, "write_record"),
):
report = bridge.build_report(request, candidate_offset=offset)
self.assertEqual(report.count("- 缺料物料明细:"), run_query.call_count)
for call in run_query.call_args_list:
model = call.args[0].model
heading = report.index(f"{model}(")
detail = report.index(f"- 缺料物料明细:样例物料-{model}", heading)
end = report.index("- 需客户确认的关键差异:", heading)
self.assertLess(detail, end)
class ApiWorkdayOutputTests(unittest.TestCase): class ApiWorkdayOutputTests(unittest.TestCase):
def test_api_workdays_and_date_override_legacy_fields(self) -> None: def test_api_workdays_and_date_override_legacy_fields(self) -> None:
payload = successful_payload() payload = successful_payload()