"""可验证报告的虚构样本页：给 scripts/check-bundle.mjs 在浏览器里核对（pytest 不执行页面上的核对脚本）。 python -m tests.bundle_samples <目录> 在目录里写下几份页面（<名字>.html）。每份都是 build_bundle + render_html 真实生成的，封存哈希按 runner 的算法 （artifact_store.manifest_hash）对事件真实算出，报告文档用 compose_doc 按证据目录真实组装（标题、段落、列表、 表格、粗体、斜体，数字和取值的引用都和真实运行一样）。check-bundle 断网打开它们，逐项断言核对结果和原因，再在 这几份上做篡改。这样遮罩快照、多份报告、早期运行、服务端缺文件这些分支，不论真数据里有没有，都有人在浏览器里核过。 数据全是虚构的：门店、会员、金额都是编的。 - base：一份报告，引用口径卡、门店流水（没有遮罩）、会员消费（有遮罩）各一处，一个没有出处的数，一张门店流水整表 （数字列右对齐，数字与取值共 21 个，超过折叠的条数）；一条封存之后追加的按需裁判 - two-reports：另有一份月报，两份报告各自的引用链 - metric-only：只引用口径卡指标的报告——正文没有一处 [[v:]]，门店流水的快照从口径卡的输入这一条路随文件附带， 引用链（④）按「已核对的口径卡的输入」认它；点开数字看得到指标、原式、代入式、输入和复算 - legacy：早期运行，封存范围按结束事件推算（运行结束事件在范围外，运行结果无法核对） - failed：失败结束的运行（没有出具判定），封存说明多一句「继续运行会重新封存」 - rejected：被审批人驳回结束的运行（运行记录 cancelled + end_reason=rejected，最后一条是运行取消）：运行结果写「被驳回」， 写明能核对的只是「运行取消」这一半、被驳回取自运行记录；不提重新封存 - continued：早期运行先失败、经继续运行跑到成功：范围里有那条运行失败，之后运行又继续了，成功结束的那条在范围外 - degraded：两条出具判定，先完整出具、后降档出具，认最后一条 - missing-doc / missing-card：导出时服务端已没有报告文档 / 口径卡的文件 - masked-card：口径卡上两个指标的输入取自会员消费的号码列（设了遮罩）：联系电话位数、首位会员手机号（值就是号码），卡上 记着号码原值。整张卡只给 id，引用它的数字无法核对；卡的节点完成事件（预览里逐条写着「指标（名称）= 值」）只给哈希； 报告文档按现在的报告撰写节点写，证据目录里这两个指标写「已遮罩」，照常随文件附带 - masked-old-doc：同一张卡，报告文档是之前的报告撰写节点写的，证据目录里这两个指标写着原值：整份文档只给哈希、不附带它 引用的工件，报告的节点完成事件也只给哈希，页面照实说明原因 - masked-source：会员库设了号码遮罩（查询当时记下了，数据源现在也设着）。报告引用会员按地区汇总的查询（没碰遮罩列： 快照随文件附带，数字核对得过）和选出了号码的那份会员消费（只给哈希） - nan：运行开始事件和门店流水快照里有 json.dumps 写出的裸 NaN（快照里那一列报告没有引用） - stray：报告自查记下的文档是另一次运行写的 - formats：经营月报，每种显示格式各引用一处：口径卡的千分位加货币单位、换算成万 / 亿、比率显示成百分数、负数、不分组、 小数位与 |.N / |int、pct；流水快照里的文字取值（地区）、DECIMAL 落成的数字文本、负数、换算成万、超过 2^53 的订单号、 ISO 日期时间（文档记下 2 版显示规则）。check-bundle 在它上面只改显示文字做伪造，tests/test_bundle_shown.py 在 node 里 逐个格式核一遍 - formats-unit：同经营月报，销售额的单位带尾随空白（「元 」：单位输入框不去空白，指标节点照存），正文显示「74,613.65元 」， 原样导出照样全部通过 - prose：同经营月报的口径卡和流水，正文是写作者自己写在引用旁边的普通文字（「运费统一[[m:…]]」「合计——[[m:…]]」 「SKU-[[v:…]]」「共[[m:…]]家」这类）：原样导出全部通过、总览是绿的，紧挨着核对的规则不误判正常写法 """ from __future__ import annotations import json import sys from pathlib import Path from typing import Any from app.bundle.build import build_bundle, render_html from app.core.artifact_store import canonical_json, content_hash, manifest_hash from app.engine.evidence import build_catalog, compose_doc, withhold_metrics RUN_ID = "5a3c0f4b9d2e4e1f8b7a6c5d4e3f2a1b" RUN = {"id": RUN_ID, "workflow_id": "wf-sample-weekly", "workflow_name": "门店周报", "version": 3, "version_hash": "ab" * 32, "run_class": "formal", "status": "succeeded", "started_at": "2026-09-07T01:00:00+00:00", "finished_at": "2026-09-07T01:02:03+00:00"} GRAPH = {"nodes": [{"id": n, "type": t, "data": {"label": label}} for n, t, label in [ ("start", "input", "开始"), ("fetch", "tool", "门店流水"), ("members", "tool", "会员消费"), ("regions", "tool", "会员地区汇总"), ("card", "metrics", "周报口径"), ("write", "report", "写周报"), ("monthly", "report", "写月报"), ("out", "output", "成果")]]} EXPORTED_AT = "2026-10-05T08:00:00+00:00" STORES = [["青石店", 1280.5], ["白沙店", "960.00"], ["临川店", 732], ["望江店", 1105.25], ["枫桥店", 418], ["云岭店", 2210], ["石桥店", 655.5], ["柳湾店", 980]] CRM = {"columns": ["name", "phone", "spend"], "column_types": {"name": "text", "phone": "text", "spend": "number"}, "rows": [["林一", "000-0001", 320.0], ["周二", "000-0002", 188.5]], "source": "crm", "sql": "SELECT name, phone, spend FROM members ORDER BY id", "truncated": False, "mask_columns": ["phone"]} #: 会员按地区汇总：同一个设了号码遮罩的会员库，SQL 没碰号码列 REGIONS = {"columns": ["region", "spend"], "column_types": {"region": "text", "spend": "number"}, "rows": [["华东", 320.0], ["华南", 188.5]], "source": "crm", "sql": "SELECT region, SUM(spend) AS spend FROM members GROUP BY region ORDER BY region", "truncated": False, "mask_columns": ["phone"]} def _num(value: Any) -> str: """代入式里的一个数：照 Python 字面量的样子（整型不带 .0）；DECIMAL 落成的数字文本原样。""" if isinstance(value, str): return value return str(int(value)) if isinstance(value, float) and value.is_integer() else str(value) def card_of(shop_id: str) -> dict[str, Any]: """周报口径卡：销售额是八家门店流水之和。和真实口径卡一样带着计算方式（原式、代入式）、每个输入 （取自哪次查询的哪一格）和复算结果——可验证报告点开数字时据此展示，引用链据此附上输入指向的查询快照。""" cells = [f"cell(nodes.fetch, {i}, 'amount')" for i in range(len(STORES))] gmv = {"id": "gmv", "name": "销售额", "value": round(sum(float(v) for _, v in STORES), 2), "unit": "元", "decimals": 2, "format": "thousands", "expression": " + ".join(cells), "substituted": " + ".join(_num(v) for _, v in STORES), "recompute_ok": True, "inputs": [{"path": f"cell(nodes.fetch, {i}, 'amount')", "value": v, "node_id": "fetch", "via": "tool_cell", "artifact": shop_id, "locator": {"row": i, "column": "amount"}, "status": "verified"} for i, (_, v) in enumerate(STORES)]} return {"kind": "metric_set", "caliber": "周报口径", "caliber_version": "v2", "metrics": [gmv]} def masked_card(card: dict[str, Any], crm_id: str) -> dict[str, Any]: """口径卡多两个指标：联系电话位数、首位会员手机号，输入都是会员消费第 0 行的号码（phone 设了遮罩），卡上记着号码原值 和代入式；首位会员手机号的值就是号码。""" cell, phone = "cell(nodes.members, 0, 'phone')", CRM["rows"][0][1] read = {"path": cell, "value": phone, "node_id": "members", "via": "tool_cell", "artifact": crm_id, "locator": {"row": 0, "column": "phone"}, "status": "verified"} contact = {"id": "contact", "name": "联系电话位数", "value": 8, "unit": "位", "decimals": 0, "format": "thousands", "expression": f"len({cell})", "substituted": f"len('{phone}')", "inputs": [dict(read)]} first = {"id": "phone_raw", "name": "首位会员手机号", "value": phone, "unit": "", "decimals": None, "format": "plain", "expression": cell, "substituted": f"'{phone}'", "inputs": [dict(read)]} return {**card, "metrics": [*card["metrics"], contact, first]} WEEKLY = ("## 门店周报\n\n本周销售额 [[m:gmv]]，*按发生周统计*。青石店流水 [[v:Q1.r0.amount]]，白沙店 [[v:Q1.r1.amount]]，" "**会员消费** [[v:Q2.r0.spend]]，另有 42 笔退款待入账。[[see:Q1]]\n\n- 云岭店流水最高\n- 枫桥店流水最低\n\n" "[[table:Q1 cols=store,amount rows=0-7]]") MONTHLY = "## 门店月报\n\n本月销售额 [[m:gmv]]，青石店流水 [[v:Q1.r0.amount]]。[[see:Q1]]" #: 经营月报的口径卡：每个指标一种显示格式（千分位加货币单位、不分组、比率显示成百分数、负数、小数位、不写小数位） FORMATS_CARD = {"kind": "metric_set", "caliber": "经营月报口径", "caliber_version": "v1", "metrics": [ {"id": "gmv", "name": "销售额", "value": 74613.65, "unit": "元", "decimals": 2, "format": "thousands"}, {"id": "annual", "name": "年度销售额", "value": 1234567890.5, "unit": "元", "decimals": 2, "format": "thousands"}, {"id": "refund", "name": "退款", "value": -3120.5, "unit": "元", "decimals": 2, "format": "thousands"}, {"id": "conv_rate", "name": "转化率", "value": 0.0235, "unit": "", "decimals": 4, "format": "percent_of_ratio"}, {"id": "growth", "name": "环比", "value": -0.0815, "unit": "", "decimals": 3, "format": "percent_of_ratio"}, {"id": "orders", "name": "订单数", "value": 12840, "unit": "单", "decimals": 0, "format": "plain"}, {"id": "avg", "name": "客单价", "value": 5.8113, "unit": "元", "decimals": 2, "format": "thousands"}, {"id": "share", "name": "线上占比", "value": 0.346, "unit": "", "decimals": None, "format": "thousands"}, {"id": "export", "name": "出口额", "value": 15230.4, "unit": "美元", "decimals": 1, "format": "thousands"}, ]} #: 同上，销售额的单位带尾随空白：服务端照原样接在数后面 FORMATS_UNIT_CARD = {**FORMATS_CARD, "metrics": [{**FORMATS_CARD["metrics"][0], "unit": "元 "}, *FORMATS_CARD["metrics"][1:]]} #: 经营流水：地区是文字，金额一格是 DECIMAL 落成的数字文本、一格是负数，订单号超过 2^53，付款时间是 ISO 日期时间 LEDGER = {"columns": ["region", "gmv", "order_no", "paid_at"], "column_types": {"region": "text", "gmv": "number", "order_no": "number", "paid_at": "datetime"}, "rows": [["华南", "45678.50", 202609071234567890, "2026-09-07T08:21:39"], ["华东", -1200.75, 202609071234567891, "2026-09-08T19:02:11"]], "source": "shop", "sql": "SELECT region, gmv, order_no, paid_at FROM ledger ORDER BY region DESC", "truncated": False} FORMATS = ("## 经营月报\n\n本月销售额 [[m:gmv]]（约 [[m:gmv|万]]），年度累计 [[m:annual|亿]]，退款 [[m:refund]]。" "转化率 [[m:conv_rate]]，环比 [[m:growth]]，订单 [[m:orders]]。客单价 [[m:avg]]，精确些是 [[m:avg|.3]]，" "取整是 [[m:avg|int]]；线上占比 [[m:share|pct]]，出口额 [[m:export]]。\n\n" "[[v:Q1.r0.region]]流水 [[v:Q1.r0.gmv]]（约 [[v:Q1.r0.gmv|万]]），[[v:Q1.r1.region]]冲减 [[v:Q1.r1.gmv]]。" "最大一单的订单号 [[v:Q1.r0.order_no]]，付款时间 [[v:Q1.r0.paid_at]]。[[see:Q1]]") #: 经营月报的另一种写法：写作者自己写在引用旁边的普通文字——「统一」后面紧跟数（汉字「一」不是负号）、破折号（——、—、 #: ―，小号的）后面紧跟数、段内软换行紧挨着数（页面上显示成一个空格）、金额前面的「￥」「¥」、编号「SKU-」「A-」后面紧跟数 #: （连字符前面是字母，是编号的一部分）、「共…家」、全角括号、「NO.」后面跟数、假名长音和制表符横线、粗体斜体包着的数。 #: 原样导出要全部通过、总览是绿的。en dash（–）紧挨在数前面读起来像负号，判无法核对，不在这里 PROSE = ("## 正文\n\n全场运费统一[[m:orders]]，消费合计——[[m:gmv]]，退款—[[m:refund]]，转化率\n[[m:conv_rate]]，" "环比―[[m:growth]]，客单价\ufe58[[m:avg]]，折合\uffe5[[m:avg]]、\u00a5[[m:avg|int]]。\n\n" "最大一单 SKU-[[v:Q1.r0.order_no]]，编号A-[[m:orders]]，共[[m:orders]]家，线上占比（[[m:share|pct]]），" "排名NO.[[m:orders]]，出口额ー[[m:export]]，年度─[[m:annual|亿]]，**[[m:gmv]]**，*[[v:Q1.r0.gmv]]*。") #: 会员周报：Q3 是会员按地区汇总（没碰遮罩列），Q2 是选出了号码的会员消费 MEMBERS = ("## 会员周报\n\n华东会员消费 [[v:Q3.r0.spend]]，华南 [[v:Q3.r1.spend]]。[[see:Q3]]\n\n" "会员林一消费 [[v:Q2.r0.spend]]。") #: 只引用指标的报告：正文没有一处 [[v:]]，门店流水的快照只能从口径卡的输入这一条路随文件附带（引用链 ④） METRIC_ONLY = "## 门店周报\n\n本周销售额 [[m:gmv]]，各门店明细随后补上。" def stored(obj: Any) -> tuple[str, bytes]: """照工件库的样子落一份：规范 JSON 的字节，id 是它的 sha256。""" raw = canonical_json(obj).encode() return content_hash(raw), raw def shop(nan: bool = False) -> dict[str, Any]: """门店流水的查询快照。ratio 那一列报告不引用；nan=True 时第一行是浮点 NaN（json.dumps 写成裸的 NaN）。""" rows = [[name, amount, float("nan") if nan and i == 0 else round(0.05 * (i + 1), 2)] for i, (name, amount) in enumerate(STORES)] return {"columns": ["store", "amount", "ratio"], "column_types": {"store": "text", "amount": "number", "ratio": "number"}, "rows": rows, "source": "shop", "sql": "SELECT store, amount, ratio FROM orders ORDER BY id", "truncated": False} #: 报告撰写节点把值取自遮罩格的指标写成的字（同 api/evidence.py 的 MASKED） MASKED = "已遮罩" #: masked_card 上值不给的指标（和报告撰写节点的写作目录同一个判断：输入确定取自遮罩格） MASKED_METRICS = ("m:contact", "m:phone_raw") def card_preview(card: dict[str, Any], artifact: str) -> dict[str, Any]: """口径卡节点完成事件的预览，照 metrics 节点产出的样子（compiler._preview）：text 里逐条写着「指标（名称）= 值」。""" lines = [f"- {m['id']}（{m['name']}）= {m['value']}{m.get('unit') or ''}" for m in card["metrics"]] return {"kind": "metric_set", "caliber": card["caliber"], "caliber_version": card["caliber_version"], "metrics": f"[{len(card['metrics'])} 项]", "text": f"指标清单（口径 {card['caliber']} @ {card['caliber_version']}）：\n" + "\n".join(lines), "artifact": artifact} class Sample: """一次虚构的已封存运行：工件（原字节）、证据目录、报告文档、事件。masked=True 时口径卡带着取自遮罩列的输入； regions=True 时会员库另有一次按地区汇总的查询（目录里排在 Q3）。card、table 换掉口径卡和门店流水的快照（经营月报）； inputs 是运行输入（报告里写 [[i:字段]] 引用）。""" def __init__(self, *, nan: bool = False, masked: bool = False, regions: bool = False, card: dict[str, Any] | None = None, table: dict[str, Any] | None = None, inputs: dict[str, Any] | None = None) -> None: self.files: dict[str, bytes] = {} snapshot = table or shop(nan) self.shop_id = self.put(snapshot) self.crm_id = self.put(CRM) self.card = card or (masked_card(card_of(self.shop_id), self.crm_id) if masked else card_of(self.shop_id)) self.card_id = self.put(self.card) self.entries = { "fetch": {"kind": "query", "node_id": "fetch", "exec": 1, "artifact": self.shop_id, "tool": "db_query__shop", "source": "shop", "columns": snapshot["columns"], "rows": len(snapshot["rows"]), "truncated": False}, "members": {"kind": "query", "node_id": "members", "exec": 1, "artifact": self.crm_id, "tool": "db_query__crm", "source": "crm", "columns": CRM["columns"], "rows": len(CRM["rows"]), "truncated": False}, } if regions: self.entries["regions"] = {"kind": "query", "node_id": "regions", "exec": 1, "artifact": self.put(REGIONS), "tool": "db_query__crm", "source": "crm", "columns": REGIONS["columns"], "rows": len(REGIONS["rows"]), "truncated": False} self.entries["card"] = {"kind": "metric_set", "node_id": "card", "artifact": self.card_id} self.ledger = list(self.entries.values()) self.catalog = build_catalog(nodes={"card": self.card}, ledger=self.ledger, inputs=inputs) def put(self, obj: Any) -> str: artifact, raw = stored(obj) self.files[artifact] = raw return artifact def load(self, artifact: str) -> Any: raw = self.files.get(artifact) return json.loads(raw) if raw is not None else None def doc(self, text: str, node_id: str, run_id: str = RUN_ID, *, masked: tuple[str, ...] = ()) -> str: """组装一份报告文档。masked：值不给的指标，照现在的报告撰写节点写成「已遮罩」（withhold_metrics）；不给的是之前的 报告撰写节点写的样子（目录里原样写着值）。""" catalog = withhold_metrics(self.catalog, masked, MASKED) return self.put(compose_doc(text, catalog, node_id=node_id, run_id=run_id, loader=self.load)) def events(self, reports: dict[str, str], *, ending: str = "finished", tiers: tuple[str, ...] = ("formal",), nan: bool = False) -> tuple[list[tuple[int, str, str | None, Any]], int]: """(全部事件, 封存范围)。封存范围到结束事件为止，后面再追加一条按需裁判。""" rows: list[tuple[int, str, str | None, Any]] = [] def add(etype: str, node_id: str | None, data: dict[str, Any]) -> None: rows.append((len(rows) + 1, etype, node_id, data)) add("run.started", None, {"nodes": len(GRAPH["nodes"]), "resumed": False, "memory_scope": "default", "collection": "default", "approval_default": None, "tool_trust": "formal", "agent_limits": None, "data_versions": None, "replay_protocol": 2, **({"sample_rate": float("nan")} if nan else {})}) add("node.started", "start", {"node_type": "input", "label": "开始"}) add("node.finished", "start", {"duration_ms": 1, "attempt": 1, "preview": {"week": "2026-W37"}}) add("node.started", "fetch", {"node_type": "tool", "label": "门店流水"}) add("tool.end", "fetch", {"tool": "db_query__shop", "duration_ms": 12, "query_artifact": self.shop_id, "preview": json.dumps({"columns": ["store", "amount"], "rows": STORES[:2]}, ensure_ascii=False)}) add("node.finished", "fetch", {"duration_ms": 14, "attempt": 1, "preview": "{\"rows\": …}", "evidence": [self.entries["fetch"]]}) add("tool.end", "members", {"tool": "db_query__crm", "duration_ms": 9, "query_artifact": self.crm_id, "preview": json.dumps(CRM["rows"][:1], ensure_ascii=False)}) add("node.finished", "members", {"duration_ms": 10, "attempt": 1, "evidence": [self.entries["members"]]}) if "regions" in self.entries: add("tool.end", "regions", {"tool": "db_query__crm", "duration_ms": 7, "query_artifact": self.entries["regions"]["artifact"], "preview": json.dumps(REGIONS["rows"], ensure_ascii=False)}) add("node.finished", "regions", {"duration_ms": 8, "attempt": 1, "evidence": [self.entries["regions"]]}) add("node.finished", "card", {"duration_ms": 3, "attempt": 1, "preview": card_preview(self.card, self.card_id), "evidence": [self.entries["card"]]}) for node_id, doc_id in reports.items(): add("llm.end", node_id, {"model": "mock", "output": "（写作草稿）"}) add("report.checked", node_id, {"doc_artifact": doc_id, "ok": True}) add("node.finished", node_id, {"duration_ms": 20, "attempt": 1, "preview": {"text": "（报告正文）", "doc_artifact": doc_id}}) if ending == "finished": for tier in tiers: add("issuance", "out", {"tier": tier, "mode": "citations"}) add("node.finished", "out", {"duration_ms": 2, "attempt": 1, "preview": {"周报": "（报告正文）"}}) add("run.finished", None, {"output": {"周报": "（报告正文）"}}) elif ending == "continued": # 先失败，再从成果节点继续运行到成功（runner.continue_failed 记一条 run.resumed） add("node.failed", "out", {"error": "出口复核没有通过"}) add("run.failed", None, {"error": "出口复核没有通过"}) add("run.resumed", None, {"from": ["out"], "message": "从「成果」继续运行，保留前面 6 个节点的结果", "actor": "值班分析员"}) for tier in tiers: add("issuance", "out", {"tier": tier, "mode": "citations"}) add("node.finished", "out", {"duration_ms": 2, "attempt": 1, "preview": {"周报": "（报告正文）"}}) add("run.finished", None, {"output": {"周报": "（报告正文）"}}) elif ending == "rejected": # 审批人在成果之前驳回（engine/runner：run.cancelled 带 reason=rejected、在哪一步、谁、备注；内容不随文件附带） add("node.failed", "out", {"error": "人工驳回：数字对不上"}) add("run.cancelled", None, {"reason": "rejected", "node_id": "out", "label": "成果", "kind": "approve", "decision": "reject", "actor": "值班分析员", "note": "数字对不上"}) else: add("node.failed", "out", {"error": "出口复核没有通过"}) add("run.failed", None, {"error": "出口复核没有通过"}) bound = len(rows) add("evidence.judged", next(iter(reports), None), {"verdicts": {"u1": {"verdict": "supported"}}, "model": "judge-x", "post_seal": True}) return rows, bound def build(sample: Sample, events: list[tuple[int, str, str | None, Any]], bound: int, *, run: dict[str, Any] | None = None, legacy: bool = False, drop: tuple[str, ...] = (), source_masks: dict[str, list[str]] | None = None) -> dict[str, Any]: """真实封存哈希的页面数据（bundle-data）。drop：导出时服务端已没有文件的工件；source_masks：数据源现在设的遮罩。""" sealed = [e for e in events if e[0] <= bound] files = {k: v for k, v in sample.files.items() if k not in drop} return build_bundle(run or RUN, events, manifest_seq=bound, manifest_hash=manifest_hash(sealed), read=files.get, exported_at=EXPORTED_AT, legacy=legacy, graph=GRAPH, source_masks=source_masks or {}) def formats_bundle(*, card: dict[str, Any] = FORMATS_CARD, table: dict[str, Any] = LEDGER, text: str = FORMATS, inputs: dict[str, Any] | None = None) -> dict[str, Any]: """经营月报（formats）的页面数据：每种显示格式各引用一处。tests/test_bundle_shown.py 换掉口径卡、流水、正文或者 加上运行输入，组装别的写法。""" f = Sample(card=card, table=table, inputs=inputs) events, bound = f.events({"write": f.doc(text, "write")}) return build(f, events, bound) def bundles() -> dict[str, dict[str, Any]]: """{页面名: 页面数据}""" out: dict[str, dict[str, Any]] = {} s = Sample() weekly = s.doc(WEEKLY, "write") events, bound = s.events({"write": weekly}) out["base"] = build(s, events, bound) out["missing-doc"] = build(s, events, bound, drop=(weekly,)) out["missing-card"] = build(s, events, bound, drop=(s.card_id,)) # 早期运行：运行结束事件落库之前封存，范围到它前一条为止（runner.verify_manifest 的老口径） finished = next(seq for seq, etype, _, _ in events if etype == "run.finished") out["legacy"] = build(s, events, finished - 1, legacy=True) monthly = s.doc(MONTHLY, "monthly") events, bound = s.events({"write": weekly, "monthly": monthly}) out["two-reports"] = build(s, events, bound) events, bound = s.events({"write": weekly}, ending="failed") out["failed"] = build(s, events, bound, run={**RUN, "status": "failed"}) events, bound = s.events({"write": weekly}, ending="rejected") out["rejected"] = build(s, events, bound, run={**RUN, "status": "cancelled", "end_reason": "rejected"}) # 早期运行先失败、经继续运行跑到成功：封存范围同样按结束事件推算，到成功结束的前一条为止 events, _ = s.events({"write": weekly}, ending="continued") finished = next(seq for seq, etype, _, _ in events if etype == "run.finished") out["continued"] = build(s, events, finished - 1, legacy=True) events, bound = s.events({"write": weekly}, tiers=("formal", "degraded")) out["degraded"] = build(s, events, bound) stray = s.doc(WEEKLY, "write", run_id="another-run-0000") events, bound = s.events({"write": stray}) out["stray"] = build(s, events, bound) n = Sample(nan=True) events, bound = n.events({"write": n.doc(WEEKLY, "write")}, nan=True) out["nan"] = build(n, events, bound) # 只引用指标的报告：门店流水的快照没被正文引用，从口径卡的输入这一条路随文件附带、引用链认得它 out["metric-only"] = build(s, *s.events({"write": s.doc(METRIC_ONLY, "write")})) m = Sample(masked=True) events, bound = m.events({"write": m.doc(WEEKLY, "write", masked=MASKED_METRICS)}) out["masked-card"] = build(m, events, bound) events, bound = m.events({"write": m.doc(WEEKLY, "write")}) out["masked-old-doc"] = build(m, events, bound) r = Sample(regions=True) events, bound = r.events({"write": r.doc(MEMBERS, "write")}) out["masked-source"] = build(r, events, bound, source_masks={"crm": ["phone"]}) out["formats"] = formats_bundle() out["formats-unit"] = formats_bundle(card=FORMATS_UNIT_CARD) out["prose"] = formats_bundle(text=PROSE) return out def pages() -> dict[str, str]: """{页面名: HTML}""" return {name: render_html(bundle) for name, bundle in bundles().items()} def main(argv: list[str]) -> int: if len(argv) != 2: print("用法：python -m tests.bundle_samples <目录>", file=sys.stderr) return 2 target = Path(argv[1]) target.mkdir(parents=True, exist_ok=True) for name, page in pages().items(): (target / f"{name}.html").write_text(page, encoding="utf-8") return 0 if __name__ == "__main__": sys.exit(main(sys.argv))