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ThearchyHelios
203 lines
12 KiB
Python
203 lines
12 KiB
Python
"""分析结论在两份自包含页面里的渲染（第 1 波 W1-b）：报告导出（report_export/runtime.js）点开判定语、分析范围里的编号；
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可验证报告（bundle/verifier.js）点开判定语看分析结论一节、正文后面的分析范围。
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浏览器里的完整检查（check-report-export、check-bundle）第 2 波由编排者跑；这里在 node 里用一个最小的 DOM 替身把两份脚本
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真正跑一遍，挡住渲染分析结论那几步时的脚本错误（引用了不存在的文案、函数），并核对面板里写出来的字。
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"""
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from __future__ import annotations
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import json
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import re
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import shutil
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import subprocess
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from pathlib import Path
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from typing import Any
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import pytest
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from httpx import ASGITransport, AsyncClient
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import app.bundle
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import app.report_export
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from app.main import app as asgi
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from tests.test_analysis_bundle import bundle_of, card_bundle
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from tests.test_analysis_evidence_api import LAST_WEEK, SCOPE, TEXT, THIS_WEEK, comparability_card, sealed_run, seg_id
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NODE = shutil.which("node")
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pytestmark = pytest.mark.skipif(NODE is None, reason="没有 node，无法执行页面上的脚本")
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RUNTIME = Path(app.report_export.__file__).parent / "runtime.js"
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VERIFIER = Path(app.bundle.__file__).parent / "verifier.js"
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#: 最小的 DOM 替身：元素、文字、片段，getElementById 按 id 建元素；textContent 递归拼接
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DOM = r"""
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const camel = (s) => s.replace(/-([a-z])/g, (_, c) => c.toUpperCase())
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class Node_ {
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constructor() { this.children = []; this.parent = null }
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append(...kids) {
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for (const k of kids) {
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const n = typeof k === 'string' ? new Text_(k) : k
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if (n instanceof Frag_) { for (const c of n.children) { c.parent = this; this.children.push(c) } n.children = [] }
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else { n.parent = this; this.children.push(n) }
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}
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}
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replaceChildren(...kids) { this.children = []; this.append(...kids) }
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get textContent() { return this.children.map((c) => c.textContent).join('') }
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set textContent(v) { this.children = [new Text_(String(v))] }
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walk(f) { f(this); for (const c of this.children) c.walk(f) }
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}
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class Text_ extends Node_ {
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constructor(t) { super(); this.text = t }
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get textContent() { return this.text }
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set textContent(v) { this.text = String(v) }
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}
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class Frag_ extends Node_ {}
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class El_ extends Node_ {
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constructor(tag) {
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super(); this.tag = tag; this.attrs = {}; this.dataset = {}; this.style = {}; this.hidden = false; this.listeners = {}
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this.className = ''; const cls = new Set(); this.classList = { add: (c) => cls.add(c), remove: (c) => cls.delete(c), contains: (c) => cls.has(c) }
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}
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setAttribute(k, v) { this.attrs[k] = String(v); if (k.startsWith('data-')) this.dataset[camel(k.slice(5))] = String(v) }
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getAttribute(k) { return this.attrs[k] ?? null }
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removeAttribute(k) { delete this.attrs[k] }
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addEventListener(t, f) { (this.listeners[t] ||= []).push(f) }
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focus() {} scrollIntoView() {}
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getBoundingClientRect() { return { top: 0, bottom: 0 } }
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querySelector() { return new El_('span') }
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closest() { return this }
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}
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globalThis.Node = Node_
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const ids = {}
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globalThis.window = { scrollBy() {} }
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globalThis.document = {
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readyState: 'complete', activeElement: null, documentElement: new El_('html'),
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getElementById(id) { return ids[id] ||= new El_('div') },
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createElement(tag) { return new El_(tag) }, createTextNode(t) { return new Text_(t) },
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createDocumentFragment() { return new Frag_() }, addEventListener() {}, querySelectorAll() { return [] },
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}
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const fs = require('fs')
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const input = JSON.parse(fs.readFileSync(0, 'utf8'))
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const find = (root, pred) => { const out = []; root.walk((n) => { if (n instanceof El_ && pred(n)) out.push(n) }); return out }
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"""
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RUN_RUNTIME = DOM + r"""
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document.getElementById('report-data').textContent = input.data
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new Function(fs.readFileSync(process.argv[1], 'utf8'))()
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const out = {}
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for (const seg of input.segs) {
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const el = new El_('button')
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for (const [k, v] of Object.entries(seg)) el.setAttribute(`data-${k}`, v)
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el.textContent = seg.text
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for (const f of document.getElementById('report').listeners.click || []) f({ target: el })
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out[seg.seg] = { title: document.getElementById('detail-title').textContent,
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body: document.getElementById('detail-body').textContent,
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steps: find(document.getElementById('detail-body'), (n) => n.attrs['data-step']).map((n) => n.attrs['data-step']) }
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}
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process.stdout.write(JSON.stringify(out))
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"""
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RUN_VERIFIER = DOM + r"""
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document.getElementById('bundle-data').textContent = input.data
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document.getElementById('seal-hash').textContent = input.seal
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new Function(fs.readFileSync(process.argv[1], 'utf8'))()
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setTimeout(() => {
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const reports = document.getElementById('reports')
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const out = { scope: find(reports, (n) => 'data-scope' in n.attrs).map((n) => n.textContent), opened: {} }
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for (const btn of find(reports, (n) => n.attrs['data-num'])) {
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for (const f of btn.listeners.click || []) f()
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out.opened[btn.attrs['data-num']] = document.getElementById('detail-body').textContent
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}
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out.verified = document.documentElement.attrs['data-verified'] ?? null
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process.stdout.write(JSON.stringify(out))
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}, 200)
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"""
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def run_node(script: str, path: Path, payload: dict[str, Any]) -> Any:
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done = subprocess.run([NODE, "-e", script, str(path)], input=json.dumps(payload), capture_output=True, text=True,
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timeout=120)
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assert done.returncode == 0, done.stderr[-3000:]
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return json.loads(done.stdout)
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async def test_the_export_page_opens_the_analysis_steps_and_the_scope_numbers():
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made = await sealed_run(TEXT, doc_extra=SCOPE)
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async with AsyncClient(transport=ASGITransport(app=asgi), base_url="http://test") as client:
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html = (await client.get(f"/api/runs/{made['run']}/report.html")).text
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data = re.search(r'<script type="application/json" id="report-data">(.*?)</script>', html, re.S).group(1)
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phrase = seg_id(made["doc"], "a:A1")
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cell = seg_id(made["doc"], "v:A1.r0.delta")
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segs = [{"seg": phrase, "kind": "analysis", "state": "deterministic", "text": made["result"]["phrase"]},
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{"seg": cell, "kind": "number", "state": "deterministic", "text": "-120"},
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{"seg": "scope:A1", "kind": "analysis", "state": "deterministic", "text": "A1"}]
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# 现查结果的三种写法：按运行当天现算的界、一列一个值都没有、表的范围（结论里的 probes 原样交给页面）
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parsed = json.loads(data)
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method = next(s for s in parsed["chains"][parsed["refs"][phrase]] if s["step"] == "analysis_method")
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method["probes"] = [
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{"source": "shop", "expr": "date('now', '-7 days')", "value": "2026-10-14", "basis": "live",
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"at": "2026-10-21T09:00:00"},
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{"source": "shop", "table": "orders", "column": "refund_date", "min": None, "max": None, "basis": "live",
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"at": "2026-10-21T09:00:00"},
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{"source": "shop", "table": "orders", "column": "order_date", "min": "2025-01-01", "max": "2026-10-20",
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"basis": "profile", "at": "2026-10-21T09:00:00"}]
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out = run_node(RUN_RUNTIME, RUNTIME, {"data": json.dumps(parsed, ensure_ascii=False), "segs": segs})
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opened = out[phrase]
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assert opened["steps"] == ["analysis", "analysis_method", "analysis_calc", "analysis_input", "query",
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"analysis_recompute", "analysis_seal"]
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assert opened["title"].startswith("判定「销售额下降")
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body = opened["body"]
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for text in ("判定标准一段占总变化的一半以上算主要来源", "Agent 写的假设华东拖累", "实际用的阈值", "「主要来源」的占比",
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"华东的占比 = 华东的变化 ÷ 总变化 = -120 ÷ （-194） = 61.9%", "结果表（列出 4 行，共 4 行）",
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"复算一致：按封存的输入重新计算，结论逐项相同", "封存范围内的台账记过这份分析结论",
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"按运行当天现算的界 date('now', '-7 days') = 2026-10-14（现查 · 2026-10-21T09:00:00）",
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"orders.refund_date：这一列一个值都没有（现查", "orders.order_date：2025-01-01 至 2026-10-20（剖析"):
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assert text in body, text
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assert "结果表第 1 行「delta」" in out[cell]["body"]
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assert out["scope:A1"]["steps"] == opened["steps"]
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async def test_the_bundle_page_shows_the_analysis_detail_and_the_scope():
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bundle, _, _ = bundle_of(doc_extra=SCOPE)
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out = run_node(RUN_VERIFIER, VERIFIER, {"data": json.dumps(bundle), "seal": bundle["meta"]["manifest_hash"]})
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assert out["verified"] == ""
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[scope] = out["scope"]
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assert scope.startswith("分析范围") and "现象A1：销售额下降" in scope and "拆过A1（按地区）：主要来自华东" in scope
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assert "没拆渠道" in scope and "这次做了 2 次差异检验，几次检验之间没有按次数校正" in scope
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phrase = next(text for text in out["opened"].values() if "出处分析结论 A1 的判定语" in text)
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assert "核对结果✓ 通过" in phrase and "分析结论里的值「销售额下降 194（-8.7%）" in phrase
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assert "判定语销售额下降 194（-8.7%）" in phrase and "方法与版本decompose.additive@1" in phrase
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assert "输入数据 · Q1" in phrase # 输入的角色写叫法，不写 data
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assert "复算一致：按封存的输入重新计算，结论逐项相同（导出时服务端按封存的输入复算的结论；本页只核哈希" in phrase
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value = next(text for text in out["opened"].values() if "具名的数「top_share」" in text)
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assert "引用的值0.618556701031" in value and "正文显示61.9%（与按显示规则渲染的结果一致）" in value
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scope_item = next(text for key, text in out["opened"].items() if key.endswith("|scope:A1"))
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assert "核对结果✓ 通过" in scope_item and "正文显示" not in scope_item
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async def test_the_export_page_opens_the_comparability_on_a_metric():
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"""口径卡指标上的可比性：指标那一步里写判定，点得开那份可比性结论（同分析结论的几步，收在一个可展开的块里）。"""
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card, result = await comparability_card()
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made = await sealed_run("环比 [[m:wow]]。", card=card, queries=[LAST_WEEK, THIS_WEEK])
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async with AsyncClient(transport=ASGITransport(app=asgi), base_url="http://test") as client:
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html = (await client.get(f"/api/runs/{made['run']}/report.html")).text
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data = re.search(r'<script type="application/json" id="report-data">(.*?)</script>', html, re.S).group(1)
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wow = seg_id(made["doc"], "m:wow")
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out = run_node(RUN_RUNTIME, RUNTIME, {"data": data, "segs": [
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{"seg": wow, "kind": "number", "state": "deterministic", "text": "-0.0874"}]})
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opened = out[wow]
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assert opened["steps"][:1] == ["metric"]
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assert opened["steps"][opened["steps"].index("analysis"):] [:3] == ["analysis", "analysis_method", "analysis_calc"]
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for text in ("两期可比性", "展开这份可比性结论", "可比性检查", "口径卡执行时自动做的可比性检查", result["phrase"],
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"同口径", "复算一致：按封存的输入重新计算，结论逐项相同", "记在口径卡的指标集里，随卡封存（不进台账）"):
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assert text in opened["body"], text
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def test_the_bundle_page_shows_the_comparability_in_the_metric_detail():
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bundle, _, _, _ = card_bundle()
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out = run_node(RUN_VERIFIER, VERIFIER, {"data": json.dumps(bundle), "seal": bundle["meta"]["manifest_hash"]})
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assert out["verified"] == ""
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[detail] = out["opened"].values()
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for text in ("两期可比性", "判定两期可比", "判定标准只差日期", "方法与版本comparable@1", "各项检查", "同口径",
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"复算一致：按封存的输入重新计算，结论逐项相同（导出时服务端按封存的输入复算的结论"):
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assert text in detail, text
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