ruff formatting check

Author: Irina

Homepage.py

@@ -30,12 +30,14 @@
     "&offset=0&length=5000"
 )
 
+
 @st.cache_data(ttl=60 * 60)  # cache 1 hour
 def fetch_supply_json(url: str) -> dict:
     r = requests.get(url, timeout=30)
     r.raise_for_status()
     return r.json()
 
+
 try:
     payload = fetch_supply_json(SUPPLY_URL)
 except Exception as e:

pages/2_WTI_Price.py

@@ -29,12 +29,14 @@
     "&offset=0&length=5000"
 )
 
+
 @st.cache_data(ttl=60 * 60)
 def fetch_wti_json(url: str) -> dict:
     r = requests.get(url, timeout=30)
     r.raise_for_status()
     return r.json()
 
+
 try:
     payload = fetch_wti_json(URL)
 except Exception as e:
@@ -61,9 +63,8 @@ def fetch_wti_json(url: str) -> dict:
     st.stop()
 
 # Aggregate weekly (safe even if already weekly)
-weekly_wti = (
-    sum_by_week(df, date_col="week", value_col="value")
-    .rename(columns={"value": "wti_price"})
+weekly_wti = sum_by_week(df, date_col="week", value_col="value").rename(
+    columns={"value": "wti_price"}
 )
 
 # Latest price

project.ipynb

@@ -204,7 +204,7 @@
     "st.caption(\n",
     "    \"Note: 'Product supplied' is often used as a proxy for consumption. \"\n",
     "    \"This visualization is descriptive (not causal).\"\n",
-    ")\n"
+    ")"
    ]
   }
  ],

tests/eia_part3.py

@@ -60,6 +60,7 @@ def sum_by_week(df: pd.DataFrame, date_col: str, value_col: str) -> pd.DataFrame
     )
     return out
 
+
 def validate_required_columns(df: pd.DataFrame, required_cols: list[str]) -> None:
     """Raise ValueError if any required column is missing."""
     missing = [c for c in required_cols if c not in df.columns]

tests/test_eia_part3.py

@@ -80,12 +80,10 @@ def test_sum_by_week_sums_duplicates():
     assert list(out.columns) == ["week", "value"]
     assert len(out) == EXPECTED_WEEK_COUNT
     assert (
-        out.loc[out["week"] == pd.to_datetime("2012-01-06"), "value"].iloc[0]
-        == EXPECTED_WEEK1_SUM
+        out.loc[out["week"] == pd.to_datetime("2012-01-06"), "value"].iloc[0] == EXPECTED_WEEK1_SUM
     )
     assert (
-        out.loc[out["week"] == pd.to_datetime("2012-01-13"), "value"].iloc[0]
-        == EXPECTED_WEEK2_SUM
+        out.loc[out["week"] == pd.to_datetime("2012-01-13"), "value"].iloc[0] == EXPECTED_WEEK2_SUM
     )