mirror of
https://github.com/primedigitaltech/market-assistant.git
synced 2026-07-22 08:01:34 +08:00
3f6c750ac4
strategy_scope_applied 下 concentration 来自分组内合并 SKU；修正店铺/品牌叙事措辞并加口径说明，避免与全关键词列表行混淆。 Made-with: Cursor
265 lines
11 KiB
Python
265 lines
11 KiB
Python
"""市场策略草稿 Markdown（规则，无 LLM）。"""
|
||
from __future__ import annotations
|
||
|
||
from django.test import SimpleTestCase
|
||
|
||
from pipeline.llm.generate_strategy import _omit_ch8_probe_wordchart_fields
|
||
from pipeline.llm.generate_strategy import strategy_decisions_substantive
|
||
from pipeline.reporting.strategy_draft import build_strategy_draft_markdown
|
||
|
||
|
||
class StrategyDraftTests(SimpleTestCase):
|
||
def test_strategy_decisions_substantive(self) -> None:
|
||
self.assertFalse(strategy_decisions_substantive(None))
|
||
self.assertFalse(strategy_decisions_substantive({}))
|
||
self.assertFalse(
|
||
strategy_decisions_substantive(
|
||
{"ack_risk_keywords": True, "product_role": " "}
|
||
)
|
||
)
|
||
self.assertTrue(
|
||
strategy_decisions_substantive({"product_role": "新品"})
|
||
)
|
||
|
||
def test_for_llm_input_omits_dev_traces(self) -> None:
|
||
brief = {
|
||
"schema_version": 1,
|
||
"keyword": "K",
|
||
"batch_label": "b1",
|
||
"scope": {"merged_sku_count": 2},
|
||
"strategy_hints": ["线索1"],
|
||
"meta": {"page_start": 1, "page_to": 3, "max_skus_config": 100},
|
||
}
|
||
md = build_strategy_draft_markdown(
|
||
job_id=7,
|
||
keyword="K",
|
||
brief=brief,
|
||
generated_at_iso="2026-01-01",
|
||
for_llm_input=True,
|
||
)
|
||
self.assertNotIn("任务 ID", md)
|
||
self.assertNotIn("generate_strategy.py", md)
|
||
self.assertNotIn("strategy_hints", md)
|
||
self.assertIn("监测摘要自动线索", md)
|
||
self.assertIn("列表页约第 1～3 页", md)
|
||
self.assertNotIn("埋伏笔", md)
|
||
self.assertNotIn("成稿须与 §2", md)
|
||
self.assertNotIn("回扣 §2", md)
|
||
|
||
def test_build_contains_sections_and_notes(self) -> None:
|
||
brief = {
|
||
"schema_version": 1,
|
||
"keyword": "测试K",
|
||
"batch_label": "b1",
|
||
"scope": {"merged_sku_count": 2, "comment_flat_rows": 5},
|
||
"strategy_hints": ["假设A"],
|
||
}
|
||
md = build_strategy_draft_markdown(
|
||
job_id=99,
|
||
keyword="测试K",
|
||
brief=brief,
|
||
business_notes="重点：华东",
|
||
generated_at_iso="2026-04-09T12:00:00",
|
||
)
|
||
self.assertIn("测试K", md)
|
||
self.assertIn("任务 ID**：99", md)
|
||
self.assertIn("假设A", md)
|
||
self.assertIn("重点：华东", md)
|
||
self.assertIn("## 摘要", md)
|
||
self.assertIn("策略范围与前提", md)
|
||
self.assertIn("针对痛点要怎么做", md)
|
||
self.assertIn("类目/细类", md)
|
||
self.assertIn("全局禁止编造", md)
|
||
self.assertNotIn("### 3.2 转化障碍与应对", md)
|
||
self.assertIn("## 一、顾客是谁", md)
|
||
self.assertIn("## 七、品牌四线", md)
|
||
self.assertIn("市场策略制定草稿", md)
|
||
|
||
def test_strategy_decisions_merge(self) -> None:
|
||
brief = {"schema_version": 1, "keyword": "K", "batch_label": "b"}
|
||
decisions = {
|
||
"product_role": "追赶型",
|
||
"positioning_choice": "mid",
|
||
"competitive_stance": "flank",
|
||
"marketing_strategy": "内容种草+搜索承接",
|
||
"general_strategy": "先腰后顶",
|
||
"pillar_product": "做低糖配方",
|
||
"ack_risk_keywords": True,
|
||
"ack_risk_price": False,
|
||
"ack_risk_concentration": True,
|
||
}
|
||
md = build_strategy_draft_markdown(
|
||
job_id=1,
|
||
keyword="K",
|
||
brief=brief,
|
||
strategy_decisions=decisions,
|
||
report_config={"chapter8_text_mining_probe": False},
|
||
)
|
||
self.assertIn("**本品角色**：追赶型", md)
|
||
self.assertIn("**营销策略**：内容种草+搜索承接", md)
|
||
self.assertIn("**总体策略**：先腰后顶", md)
|
||
self.assertIn("- [x] **卡腰**", md)
|
||
self.assertIn("- [ ] **贴顶**", md)
|
||
i4 = md.find("## 四、为什么要选")
|
||
i5 = md.find("## 五、与其它品牌")
|
||
self.assertGreater(i5, i4)
|
||
self.assertNotIn("贴顶", md[i4:i5])
|
||
i82 = md.find("### 8.2 定价策略")
|
||
self.assertGreater(i82, 0)
|
||
self.assertGreater(md.find("- [x] **卡腰**"), i82)
|
||
self.assertIn("侧翼切入", md)
|
||
self.assertIn("做低糖配方", md)
|
||
self.assertIn("### 7.1 品牌建设", md)
|
||
self.assertIn("- [x] 评论侧归纳是否以偏概全", md)
|
||
self.assertIn("- [ ] 价格带是否含大促", md)
|
||
self.assertIn("- [x] 列表集中度与深入样本品牌是否不一致", md)
|
||
|
||
def test_chapter8_probe_omits_focus_scenario_count_bullets(self) -> None:
|
||
brief = {
|
||
"schema_version": 1,
|
||
"keyword": "低GI",
|
||
"comment_focus_keywords": [{"word": "口感", "count": 501}],
|
||
"usage_scenarios": [
|
||
{
|
||
"scenario": "控糖/血糖相关",
|
||
"count": 305,
|
||
"share_of_text_units": 0.272,
|
||
}
|
||
],
|
||
}
|
||
md = build_strategy_draft_markdown(
|
||
job_id=1,
|
||
keyword="低GI",
|
||
brief=brief,
|
||
report_config={"chapter8_text_mining_probe": True},
|
||
)
|
||
self.assertIn("文本挖掘", md)
|
||
self.assertNotIn("子串统计命中约 **501**", md)
|
||
self.assertNotIn("场景「控糖", md)
|
||
|
||
def test_non_probe_path_no_preset_focus_enumeration(self) -> None:
|
||
brief = {
|
||
"schema_version": 1,
|
||
"keyword": "低GI",
|
||
"comment_focus_keywords": [{"word": "口感", "count": 501}],
|
||
"usage_scenarios": [
|
||
{
|
||
"scenario": "控糖/血糖相关",
|
||
"count": 305,
|
||
"share_of_text_units": 0.272,
|
||
}
|
||
],
|
||
}
|
||
md = build_strategy_draft_markdown(
|
||
job_id=1,
|
||
keyword="低GI",
|
||
brief=brief,
|
||
report_config={"chapter8_text_mining_probe": False},
|
||
)
|
||
self.assertIn("不再", md)
|
||
self.assertIn("预设关注词", md)
|
||
self.assertNotIn("子串统计命中约 **501**", md)
|
||
self.assertNotIn("场景「控糖", md)
|
||
|
||
def test_matrix_scope_concentration_not_list_rows_wording(self) -> None:
|
||
"""收窄矩阵时 concentration 来自分组内 SKU，§5.1 勿写「列表行」。"""
|
||
brief = {
|
||
"schema_version": 1,
|
||
"keyword": "低GI",
|
||
"strategy_scope_applied": {"group": "饼干"},
|
||
"concentration": {
|
||
"shops_from_list": {
|
||
"first_share": 0.238,
|
||
"top_three_combined_share": 0.571,
|
||
"top_label": "碧翠园京东自营旗舰店",
|
||
},
|
||
"detail_brand_among_merged": {
|
||
"first_share": 0.238,
|
||
"top_three_combined_share": 0.667,
|
||
"top_label": "碧翠园",
|
||
},
|
||
},
|
||
}
|
||
md = build_strategy_draft_markdown(job_id=1, keyword="低GI", brief=brief)
|
||
self.assertIn("与全关键词 **PC 搜索列表行** 集中度**不是同一口径**", md)
|
||
self.assertIn("店铺分布（「饼干」内样本 SKU）", md)
|
||
self.assertIn("该分组样本 SKU 的", md)
|
||
self.assertNotIn("列表侧店铺集中度", md)
|
||
self.assertNotIn("第一大店铺约占列表行的", md)
|
||
|
||
def test_shops_unique_sku_basis_rendered(self) -> None:
|
||
brief = {
|
||
"schema_version": 1,
|
||
"keyword": "测试",
|
||
"concentration": {
|
||
"shops_from_list": {
|
||
"first_share": 0.6,
|
||
"top_three_combined_share": 0.85,
|
||
"top_label": "京东自营",
|
||
"unique_sku_basis": {
|
||
"first_share": 0.35,
|
||
"top_three_combined_share": 0.7,
|
||
"top_label": "京东自营",
|
||
"n_unique_skus": 120,
|
||
},
|
||
},
|
||
"detail_brand_among_merged": {},
|
||
},
|
||
}
|
||
md = build_strategy_draft_markdown(
|
||
job_id=1,
|
||
keyword="测试",
|
||
brief=brief,
|
||
)
|
||
self.assertIn("按去重 SKU", md)
|
||
self.assertIn("120", md)
|
||
self.assertIn("35.0%", md)
|
||
|
||
def test_chapter8_probe_filters_strategy_hints_focus_scenario_lines(self) -> None:
|
||
brief = {
|
||
"schema_version": 1,
|
||
"keyword": "K",
|
||
"strategy_hints": [
|
||
"评价文本中「口感、甜」等主题出现较多，可作为假设输入（非严格主题模型）。",
|
||
"用途/场景中「控糖/血糖相关」在约 72% 的有效评价自述中出现，可作为优先假设（词组规则）。",
|
||
"样本内品牌较分散，存在定位空间（需验证）。",
|
||
],
|
||
"price_promotion_signals": {"rows_with_both_list_and_coupon": 10},
|
||
}
|
||
md = build_strategy_draft_markdown(
|
||
job_id=1,
|
||
keyword="K",
|
||
brief=brief,
|
||
report_config={"chapter8_text_mining_probe": True},
|
||
)
|
||
self.assertNotIn("评价文本中「口感", md)
|
||
self.assertNotIn("用途/场景中「控糖", md)
|
||
self.assertIn("样本内品牌较分散", md)
|
||
self.assertIn("price_promotion_signals", md)
|
||
self.assertIn("price_promotion_signals", md)
|
||
|
||
def test_ch8_probe_omit_wordchart_nested_in_consumer_feedback(self) -> None:
|
||
compact = {
|
||
"comment_focus_keywords": [{"word": "x", "count": 1}],
|
||
"usage_scenarios": [],
|
||
"comment_sentiment_lexicon": {"pos": ["好"], "neg": ["差"]},
|
||
"strategy_hints": ["条形图同源句子"],
|
||
"consumer_feedback_by_matrix_group": [
|
||
{
|
||
"group": "饼干",
|
||
"comment_rows": 10,
|
||
"focus_keyword_hits": [{"word": "口感", "count": 5}],
|
||
"scenarios_top": [{"scenario": "早餐", "count": 2}],
|
||
}
|
||
],
|
||
}
|
||
_omit_ch8_probe_wordchart_fields(compact)
|
||
self.assertNotIn("comment_focus_keywords", compact)
|
||
self.assertNotIn("comment_sentiment_lexicon", compact)
|
||
self.assertNotIn("strategy_hints", compact)
|
||
self.assertNotIn("focus_keyword_hits", compact["consumer_feedback_by_matrix_group"][0])
|
||
self.assertNotIn("scenarios_top", compact["consumer_feedback_by_matrix_group"][0])
|
||
self.assertEqual(
|
||
compact["consumer_feedback_by_matrix_group"][0].get("comment_rows"), 10
|
||
)
|