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Füge VSCode-Build-Tasks hinzu: Erstelle Aufgaben für den Build-Prozess und Clippy-Überprüfungen.

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Torsten Schulz (local)
2025-12-13 23:40:20 +01:00
parent ce06b1a4f0
commit 2aa4e7c666
2 changed files with 49 additions and 117 deletions
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17
.vscode/tasks.json vendored Normal file
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@@ -0,0 +1,17 @@
{
"version": "2.0.0",
"tasks": [
{
"label": "Build and clippy",
"type": "shell",
"command": "cargo build && cargo clippy",
"group": "build"
},
{
"label": "cargo build",
"type": "shell",
"command": "cargo build",
"group": "build"
}
]
}

129
src/worker/sql.rs
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@@ -1369,9 +1369,9 @@ pub const QUERY_GET_FINISHED_PRODUCTIONS: &str = r#"
LEAST(
100,
(
COALESCE(k.knowledge, 0) * 0.6
+ COALESCE(k2.knowledge, 0) * 0.3
+ COALESCE(pwe.worth_percent, 100) * 0.1
(COALESCE(k.knowledge, 0) * 0.75
+ COALESCE(k2.knowledge, 0) * 0.25)
* COALESCE(pwe.quality_effect, 100) / 100.0
)
)
)
@@ -1391,9 +1391,12 @@ pub const QUERY_GET_FINISHED_PRODUCTIONS: &str = r#"
LEFT JOIN falukant_data.knowledge k2
ON k2.character_id = d.director_character_id
AND k2.product_id = p.product_id
LEFT JOIN falukant_data.weather w
ON w.region_id = br.region_id
LEFT JOIN falukant_type.product_weather_effect pwe
ON pwe.product_id = p.product_id
AND pwe.weather_type_id = p.weather_type_id
AND pwe.weather_type_id = w.weather_type_id
-- Wetter-Effekte derzeit aus der Qualitätsberechnung entfernt
WHERE p.start_timestamp + INTERVAL '1 minute' * pr.production_time <= NOW()
ORDER BY p.start_timestamp;
"#;
@@ -1464,8 +1467,8 @@ pub const QUERY_UPDATE_REGION_SELL_PRICE: &str = r#"
0,
LEAST(
CASE
WHEN s.quantity > avg_sells THEN tpw.worth_percent - 1
WHEN s.quantity < avg_sells THEN tpw.worth_percent + 1
WHEN s.quantity > COALESCE(s.avg_sells, 0) * 1.05 THEN tpw.worth_percent + 1
WHEN s.quantity < COALESCE(s.avg_sells, 0) * 0.95 THEN tpw.worth_percent - 1
ELSE tpw.worth_percent
END,
100
@@ -1499,121 +1502,33 @@ pub const QUERY_GET_SELL_REGIONS: &str = r#"
pub const QUERY_HOURLY_PRICE_RECALCULATION: &str = r#"
WITH city_sales AS (
SELECT
s.region_id,
s.product_id,
SUM(s.quantity) AS total_sold
SELECT s.region_id, s.product_id, SUM(s.quantity) AS total_sold
FROM falukant_log.sell s
WHERE s.sell_timestamp >= NOW() - INTERVAL '1 hour'
GROUP BY s.region_id, s.product_id
),
world_avg_sales AS (
SELECT
product_id,
AVG(total_sold) AS avg_sold
world_avg AS (
SELECT product_id, AVG(total_sold) AS avg_sold
FROM city_sales
GROUP BY product_id
),
parent_region_sales AS (
SELECT
r.parent_region_id,
cs.product_id,
AVG(cs.total_sold) AS avg_sold
FROM city_sales cs
JOIN falukant_data.region r ON r.id = cs.region_id
WHERE r.parent_region_id IS NOT NULL
GROUP BY r.parent_region_id, cs.product_id
),
price_updates_world AS (
adjustments AS (
SELECT
cs.region_id,
cs.product_id,
cs.total_sold,
COALESCE(wa.avg_sold, 0) AS world_avg,
tpw.worth_percent AS current_price,
CASE
WHEN cs.total_sold > COALESCE(wa.avg_sold, 0) * 1.05
THEN tpw.worth_percent * 1.1
WHEN cs.total_sold < COALESCE(wa.avg_sold, 0) * 0.95
THEN tpw.worth_percent * 0.9
ELSE tpw.worth_percent
END AS price_after_world
WHEN cs.total_sold > COALESCE(wa.avg_sold, 0) * 1.05 THEN 1.10
WHEN cs.total_sold < COALESCE(wa.avg_sold, 0) * 0.95 THEN 0.90
ELSE 1.00
END AS factor
FROM city_sales cs
JOIN world_avg_sales wa ON wa.product_id = cs.product_id
JOIN falukant_data.town_product_worth tpw
ON tpw.region_id = cs.region_id
AND tpw.product_id = cs.product_id
WHERE cs.total_sold > COALESCE(wa.avg_sold, 0) * 1.05
OR cs.total_sold < COALESCE(wa.avg_sold, 0) * 0.95
),
all_cities_with_prices AS (
SELECT
cs.region_id,
cs.product_id,
cs.total_sold,
r.parent_region_id,
tpw.worth_percent AS original_price,
COALESCE(puw.price_after_world, tpw.worth_percent) AS price_after_world
FROM city_sales cs
JOIN falukant_data.region r ON r.id = cs.region_id
JOIN falukant_data.town_product_worth tpw
ON tpw.region_id = cs.region_id
AND tpw.product_id = cs.product_id
LEFT JOIN price_updates_world puw
ON puw.region_id = cs.region_id
AND puw.product_id = cs.product_id
),
price_updates_parent AS (
SELECT
acwp.region_id,
acwp.product_id,
acwp.total_sold,
acwp.parent_region_id,
COALESCE(prs.avg_sold, 0) AS parent_avg,
acwp.price_after_world AS current_price,
CASE
WHEN acwp.total_sold > COALESCE(prs.avg_sold, 0) * 1.05
THEN acwp.price_after_world * 1.05
WHEN acwp.total_sold < COALESCE(prs.avg_sold, 0) * 0.95
THEN acwp.price_after_world * 0.95
ELSE acwp.price_after_world
END AS new_price
FROM all_cities_with_prices acwp
LEFT JOIN parent_region_sales prs
ON prs.parent_region_id = acwp.parent_region_id
AND prs.product_id = acwp.product_id
WHERE acwp.parent_region_id IS NOT NULL
AND (
acwp.total_sold > COALESCE(prs.avg_sold, 0) * 1.05
OR acwp.total_sold < COALESCE(prs.avg_sold, 0) * 0.95
)
),
final_price_updates AS (
SELECT
COALESCE(pup.region_id, puw.region_id) AS region_id,
COALESCE(pup.product_id, puw.product_id) AS product_id,
COALESCE(pup.new_price, puw.price_after_world, acwp.original_price) AS final_price
FROM all_cities_with_prices acwp
LEFT JOIN price_updates_world puw
ON puw.region_id = acwp.region_id
AND puw.product_id = acwp.product_id
LEFT JOIN price_updates_parent pup
ON pup.region_id = acwp.region_id
AND pup.product_id = acwp.product_id
WHERE puw.region_id IS NOT NULL
OR pup.region_id IS NOT NULL
JOIN world_avg wa ON wa.product_id = cs.product_id
)
UPDATE falukant_data.town_product_worth tpw
SET worth_percent = GREATEST(
0,
LEAST(
100,
fpu.final_price
)
)
FROM final_price_updates fpu
WHERE tpw.region_id = fpu.region_id
AND tpw.product_id = fpu.product_id;
SET worth_percent = GREATEST(0, LEAST(100, tpw.worth_percent * adj.factor))
FROM adjustments adj
WHERE tpw.region_id = adj.region_id
AND tpw.product_id = adj.product_id;
"#;
pub const QUERY_SET_MARRIAGES_BY_PARTY: &str = r#"