sql-cli 1.80.0

# Tier 3 — scalar functions: string, math, conditional, NULL handling.
# These probe semantic parity (arg order, rounding, CASE) and surface gaps.

[[case]]
id = "fn_upper"
data = "trades.csv"
sql = "SELECT UPPER(symbol) AS u FROM trades"

[[case]]
id = "fn_lower"
data = "trades.csv"
sql = "SELECT LOWER(symbol) AS l FROM trades"

[[case]]
id = "fn_length"
data = "instruments.csv"
sql = "SELECT name, LENGTH(name) AS n FROM instruments"

[[case]]
id = "fn_substring"
data = "trades.csv"
sql = "SELECT SUBSTRING(symbol, 1, 2) AS s FROM trades"
# SQL SUBSTRING() is 1-indexed, matching the SQL standard / DuckDB.
# (The C# `.Substring()` method form stays 0-indexed — .NET semantics.)

[[case]]
id = "fn_trim"
data = "instruments.csv"
sql = "SELECT TRIM(name) AS t FROM instruments"

[[case]]
id = "fn_concat"
data = "international_sales.csv"
sql = "SELECT region || '-' || country AS combo FROM international_sales"

[[case]]
id = "fn_abs"
data = "trades.csv"
sql = "SELECT ABS(price - 185) AS d FROM trades"

[[case]]
id = "fn_round"
data = "trades.csv"
sql = "SELECT ROUND(price, 0) AS r FROM trades"

[[case]]
id = "fn_ceil_floor"
data = "trades.csv"
sql = "SELECT CEIL(price) AS c, FLOOR(price) AS f FROM trades"

[[case]]
id = "fn_mod"
data = "trades.csv"
sql = "SELECT volume % 100 AS m FROM trades"

[[case]]
id = "fn_coalesce"
data = "instruments.csv"
sql = "SELECT instrument_id, COALESCE(coupon_rate, 0) AS cr FROM instruments"

[[case]]
id = "fn_case_simple"
data = "trades.csv"
sql = "SELECT symbol, CASE WHEN price > 185 THEN 'high' ELSE 'low' END AS tier FROM trades"

[[case]]
id = "fn_case_searched"
data = "international_sales.csv"
sql = "SELECT region, CASE WHEN amount > 2000 THEN 'big' WHEN amount > 1000 THEN 'mid' ELSE 'small' END AS bucket FROM international_sales"

[[case]]
id = "fn_cast_int"
data = "trades.csv"
sql = "SELECT CAST(price AS INTEGER) AS pi FROM trades"
# CAST(expr AS type) is now supported. Float->int rounds to nearest (DuckDB
# rounds rather than truncates); we use round-half-to-even to match it.

[[case]]
id = "fn_cast_int_to_double"
data = "trades.csv"
sql = "SELECT CAST(volume AS DOUBLE) AS vd FROM trades"

[[case]]
id = "fn_cast_num_to_varchar"
data = "trades.csv"
# Numeric string vs float collapses under normalization, so surface formatting
# (185.5 vs 185.50) does not matter -- this asserts the value round-trips.
sql = "SELECT CAST(price AS VARCHAR) AS ps FROM trades"

[[case]]
id = "fn_cast_precision_ignored"
data = "trades.csv"
# A precision/scale spec parses and is ignored; we cast within our own types.
sql = "SELECT CAST(price AS DECIMAL(10, 2)) AS pd FROM trades"

[[case]]
id = "fn_try_cast_null_on_failure"
data = "trades.csv"
# TRY_CAST of a non-numeric string yields NULL rather than erroring.
sql = "SELECT symbol, TRY_CAST(symbol AS INTEGER) AS n FROM trades"