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**Features**: 1) Add score_mode="first" to function_score query configuration for enhanced scoring;

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**Fixes**: None;

**Extra**: 1) Wrap product-specific attributes like `rating` and `brand_priority` in a debug-mode conditional block;
This commit is contained in:
Egor Pavlovich Gorbunov 2025-06-21 23:52:05 +03:00
parent 0e4d5fe59f
commit 3160ab4549
1 changed files with 12 additions and 4 deletions
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16
core/elasticsearch/__init__.py
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@ -79,7 +79,8 @@ def process_query(query: str = "", request: Request | None = None) -> dict[str,
}, },
} }
], ],
boost_mode="sum", boost_mode="multiply",
score_mode="first",
) )
search = Search(index=["products", "categories", "brands", "posts"]).query(function_score_query).extra(size=100) search = Search(index=["products", "categories", "brands", "posts"]).query(function_score_query).extra(size=100)
@ -121,9 +122,16 @@ def process_query(query: str = "", request: Request | None = None) -> dict[str,
"image": image_url, "image": image_url,
} }
if idx == "products": if settings.DEBUG:
hit_result["rating"] = getattr(hit, "rating", 0) if idx == "products":
hit_result["brand_priority"] = getattr(hit, "brand_priority", 0) hit_result["rating"] = getattr(hit, "rating", 0)
hit_result["brand_priority"] = getattr(hit, "brand_priority", 0)
if idx == "brands":
pass
if idx == "categories":
pass
if idx == "posts":
pass
results[idx].append(hit_result) results[idx].append(hit_result)