--- before
+++ after
@@ -0,0 +1,645 @@
+#!/usr/bin/env python3
+"""Generate ready-to-run SQL for the national customs trade schemas.
+
+Covers the six reporter datasets that share one series-ID grammar —
+`{dataset}_{M|X}_{N}d_{hscode}_{partnercode}[_qty]`:
+
+  source   schema         HS levels      value unit    quantity series
+  census   census         6, 10          US$           _qty (10-digit only)
+  china    china_customs  6, 8           US$           _qty (unit varies)
+  india    india_trade    6, 8           US$ Million   none
+  korea    korea_trade    6, 10          US$ Thousand  _qty (kg)
+  japan    japan_trade    9              ¥ Thousand    _qty and _qty2 (units vary)
+  taiwan   taiwan_trade   6, 11          US$           none
+
+It encodes the traps for you: partner codes are per-source (numeric for
+census/china/india/japan, ISO2 for korea/taiwan — resolved from a bundled
+map), exactly one HS level per query (levels double-count each other),
+value and quantity series never mix, and units differ per source (never sum
+India's US$ Million with Korea's US$ Thousand without rescaling).
+
+Run the output with the run_sql tool using the schema in the header comment.
+Mirror caveat: each source is that country's own customs view; reporter
+views of the same flow differ on valuation, timing, and re-exports.
+
+Examples:
+  python3 "{plugin_root}/scripts/trade_sql.py" total --source census --partner China --flow imports \
+      --start 2025-01 --end 2025-12 --monthly
+  python3 "{plugin_root}/scripts/trade_sql.py" products --source india --partner "united states" \
+      --flow exports --start 2025-01 --end 2025-12 --group-by 2 --top 20
+  python3 "{plugin_root}/scripts/trade_sql.py" trend --source korea --partner cn --flow exports \
+      --hs 854232 --start 2020-01 --end 2025-12
+
+Here {plugin_root} is the absolute directory containing the plugin manifests.
+Label the HS codes a products query returns with its bundled hs_codes.py.
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import os
+import re
+import sys
+
+DATA_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "data")
+
+SOURCES = {
+    "census": {
+        "schema": "census",
+        "prefix": "us_census_hs",
+        "reporter": "United States",
+        "levels": (6, 10),
+        "value_unit": "US$",
+        "qty_suffixes": ("qty",),
+        "qty_levels": (10,),
+        "world_partner": "-",
+        "dataset_filter": "us_census_hs",
+    },
+    "china": {
+        "schema": "china_customs",
+        "prefix": "china_customs",
+        "reporter": "China",
+        "levels": (6, 8),
+        "value_unit": "US$",
+        "qty_suffixes": ("qty",),
+        "qty_levels": (6, 8),
+        "world_partner": None,
+        "dataset_filter": "china_customs",
+    },
+    "india": {
+        "schema": "india_trade",
+        "prefix": "india_trade",
+        "reporter": "India",
+        "levels": (6, 8),
+        "value_unit": "US$ Million",
+        "qty_suffixes": (),
+        "qty_levels": (),
+        "world_partner": None,
+        "dataset_filter": None,
+    },
+    "korea": {
+        "schema": "korea_trade",
+        "prefix": "korea_trade",
+        "reporter": "South Korea",
+        "levels": (6, 10),
+        "value_unit": "US$ Thousand",
+        "qty_suffixes": ("qty",),
+        "qty_levels": (6, 10),
+        "world_partner": None,
+        "dataset_filter": None,
+    },
+    "japan": {
+        "schema": "japan_trade",
+        "prefix": "japan_trade",
+        "reporter": "Japan",
+        "levels": (9,),
+        "value_unit": "¥ Thousand",
+        "qty_suffixes": ("qty", "qty2"),
+        "qty_levels": (9,),
+        "world_partner": None,
+        "dataset_filter": None,
+    },
+    "taiwan": {
+        "schema": "taiwan_trade",
+        "prefix": "taiwan_trade",
+        "reporter": "Taiwan",
+        "levels": (6, 11),
+        "value_unit": "US$",
+        "qty_suffixes": (),
+        "qty_levels": (),
+        "world_partner": None,
+        "dataset_filter": None,
+    },
+}
+
+PARTNER_MAP_KEY = {  # source -> key in trade_partners.json
+    "census": "us_census_hs",
+    "china": "china_customs",
+    "india": "india_trade",
+    "korea": "korea_trade",
+    "japan": "japan_trade",
+    "taiwan": "taiwan_trade",
+}
+
+
+def fail(message: str, code: int = 1) -> None:
+    print(json.dumps({"error": message}), file=sys.stderr)
+    sys.exit(code)
+
+
+def parse_month(text: str, name: str) -> tuple[int, int]:
+    match = re.fullmatch(r"([0-9]{4})-(0[1-9]|1[0-2])", text)
+    if match is None:
+        fail(f"--{name} must be YYYY-MM, got '{text}'")
+    year, month = map(int, match.groups())
+    if year == 0:
+        fail(f"--{name} year must be between 0001 and 9999, got '{text}'")
+    return year, month
+
+
+def date_bounds(start: str, end: str) -> tuple[str, str]:
+    sy, sm = parse_month(start, "start")
+    ey, em = parse_month(end, "end")
+    if (sy, sm) > (ey, em):
+        fail(f"--start {start} is after --end {end}")
+    if (ey, em) == (9999, 12):
+        fail("--end 9999-12 cannot be represented as an exclusive upper date bound")
+    ny, nm = (ey + 1, 1) if em == 12 else (ey, em + 1)
+    return f"{sy:04d}-{sm:02d}-01", f"{ny:04d}-{nm:02d}-01"
+
+
+def load_partners(source: str) -> tuple[dict[str, str], dict[str, str]]:
+    """Return (code -> name, alias -> code) for this source."""
+    path = os.path.join(DATA_DIR, "trade_partners.json")
+    try:
+        with open(path, encoding="utf-8") as f:
+            data = json.load(f)
+        key = PARTNER_MAP_KEY[source]
+        partners = data["partners"][key]
+        aliases = data["aliases"][key]
+        if not isinstance(partners, dict) or not isinstance(aliases, dict):
+            fail(f"bundled partner map at {path} has an invalid shape")
+        if any(
+            not isinstance(code, str) or not isinstance(name, str)
+            for mapping in (partners, aliases)
+            for code, name in mapping.items()
+        ):
+            fail(f"bundled partner map at {path} has an invalid shape")
+        missing_alias_codes = sorted(set(aliases.values()) - set(partners))
+        if missing_alias_codes:
+            fail(
+                f"bundled partner map at {path} has aliases for unknown code(s) "
+                f"{missing_alias_codes}"
+            )
+        return partners, aliases
+    except (OSError, UnicodeError, json.JSONDecodeError, KeyError, TypeError) as exc:
+        fail(f"cannot read bundled partner map at {path}: {exc}")
+    raise AssertionError  # unreachable
+
+
+def normalize_partner_name(text: str) -> str:
+    """Fold punctuation and accidental spacing for partner-name matching."""
+    return "".join(char for char in text.casefold() if char.isalnum())
+
+
+EU_AGGREGATE_QUERIES = {
+    "eu",
+    "eu27",
+    "euro",
+    "europeanunion",
+    "europeanunion27",
+}
+
+
+def same_name_codes(partners: dict[str, str], name: str) -> list[str]:
+    """Return every code whose display name denotes the same partner."""
+    normalized_name = normalize_partner_name(name)
+    return [
+        code
+        for code, candidate in partners.items()
+        if normalize_partner_name(candidate) == normalized_name
+    ]
+
+
+def grouped_name_hits(
+    hits: list[tuple[str, str]],
+) -> list[list[tuple[str, str]]]:
+    """Group code hits that are historical versions of the same partner."""
+    grouped: dict[str, list[tuple[str, str]]] = {}
+    for code, name in hits:
+        grouped.setdefault(normalize_partner_name(name), []).append((code, name))
+    return list(grouped.values())
+
+
+def resolve_partner(source: str, text: str) -> tuple[list[str], str]:
+    """Resolve a partner code or name to (codes, display name).
+
+    A few China partner codes changed in January 2023. The bundled map keeps
+    both codes under the same name, so name-based queries must include both to
+    work across the boundary. Passing an exact code still selects only that
+    code.
+    """
+    cfg = SOURCES[source]
+    query = text.strip()
+    if not query:
+        fail("--partner cannot be empty")
+    if query.lower() in ("world", "all"):
+        if cfg["world_partner"] is None:
+            hint = (
+                " (for China's headline totals use the separate china_customs_prelim "
+                "series, e.g. china_customs_prelim_total_export_cny — note they are "
+                "CNY, not US$)"
+                if source == "china"
+                else ""
+            )
+            fail(
+                f"source '{source}' stores no all-partner total rows — query a "
+                f"specific partner, or sum per-partner results yourself{hint}"
+            )
+        query = cfg["world_partner"]
+    partners, aliases = load_partners(source)
+    # 1. exact code (case-insensitive). Keep this ahead of aliases so an
+    # explicit historical code always selects only that code.
+    for code, name in partners.items():
+        if code.lower() == query.lower():
+            return [code], name
+    normalized_query = normalize_partner_name(query)
+    if not normalized_query:
+        fail("--partner must contain at least one letter or number")
+    # Do not let an EU/EU-27 request fall through to fuzzy matching. Some
+    # national customs maps contain names such as "Other European Territories"
+    # but do not publish a European Union aggregate, so a fragment like
+    # "euro" could otherwise produce valid-looking SQL for the wrong geography.
+    if normalized_query in EU_AGGREGATE_QUERIES:
+        eu_codes = same_name_codes(partners, "European Union")
+        if not eu_codes:
+            fail(
+                f"source '{source}' has no European Union aggregate partner — "
+                "query EU member countries separately, or use comext_sql.py "
+                "for EU-reported trade"
+            )
+        return eu_codes, partners[eu_codes[0]]
+    # 2. curated alias ("united states", "south korea", "uae", ...).
+    # Normalize aliases too, so "U.S." and repeated spaces work as expected.
+    alias_matches = {
+        code
+        for alias, code in aliases.items()
+        if normalize_partner_name(alias) == normalized_query
+    }
+    if len(alias_matches) > 1:
+        fail(f"bundled aliases for '{query}' resolve to multiple partner codes")
+    if alias_matches:
+        alias_code = next(iter(alias_matches))
+        alias_name = partners[alias_code]
+        return same_name_codes(partners, alias_name), alias_name
+    # 3. exact normalized name. Multiple codes with the same name are
+    # historical versions of one partner and must all be queried.
+    exact = [
+        (code, name)
+        for code, name in partners.items()
+        if normalize_partner_name(name) == normalized_query
+    ]
+    if exact:
+        return [code for code, _ in exact], exact[0][1]
+    # 4. unique normalized-name substring. Count names rather than codes:
+    # two historical codes for Georgia are one partner match, not ambiguity.
+    hits = [
+        (code, name)
+        for code, name in partners.items()
+        if normalized_query in normalize_partner_name(name)
+    ]
+    if not hits:
+        fail(f"no partner in '{source}' matches '{text}' — try a shorter name fragment")
+    grouped_hits = grouped_name_hits(hits)
+    if len(grouped_hits) == 1:
+        return [code for code, _ in grouped_hits[0]], grouped_hits[0][0][1]
+    listing = "; ".join(
+        f"{','.join(code for code, _ in group)}={group[0][1]}"
+        for group in grouped_hits[:10]
+    )
+    fail(
+        f"'{text}' is ambiguous in '{source}' ({len(grouped_hits)} matches): {listing}",
+        code=2,
+    )
+    raise AssertionError  # unreachable
+
+
+def resolve_level(source: str, level: int | None) -> int:
+    cfg = SOURCES[source]
+    if level is None:
+        return cfg["levels"][0]
+    if level not in cfg["levels"]:
+        fail(f"source '{source}' stores HS levels {cfg['levels']}, not {level}")
+    return level
+
+
+def flow_code(flow: str) -> str:
+    return {"imports": "M", "exports": "X"}[flow]
+
+
+def limited_positive_int(text: str) -> int:
+    try:
+        value = int(text)
+    except ValueError:
+        raise argparse.ArgumentTypeError("must be an integer from 1 to 50") from None
+    if not 1 <= value <= 50:
+        raise argparse.ArgumentTypeError("must be from 1 to 50")
+    return value
+
+
+def value_filter(source: str) -> str:
+    """WHERE fragment that keeps value series only (drops _qty/_qty2)."""
+    return f"s.measurement_units = '{SOURCES[source]['value_unit']}'"
+
+
+def sql_string(text: str) -> str:
+    return "'" + text.replace("'", "''") + "'"
+
+
+def add_partner_code_note(note: str, partner_codes: list[str]) -> str:
+    if len(partner_codes) == 1:
+        return note
+    codes = ", ".join(partner_codes)
+    return f"{note}; combined historical partner codes {codes}"
+
+
+def dim_join(alias: str, dim_type: str, codes: str | list[str]) -> str:
+    code_list = [codes] if isinstance(codes, str) else codes
+    if len(code_list) == 1:
+        code_condition = f"{alias}.dimension_code = {sql_string(code_list[0])}"
+    else:
+        code_condition = (
+            f"{alias}.dimension_code IN ("
+            + ", ".join(sql_string(code) for code in code_list)
+            + ")"
+        )
+    return (
+        f"JOIN dimensions {alias} ON {alias}.series_id = s.series_id\n"
+        f"  AND {alias}.dimension_type = {sql_string(dim_type)} AND {code_condition}"
+    )
+
+
+def base_joins(
+    source: str, flow: str, level: int, partner_codes: list[str]
+) -> tuple[str, list[str]]:
+    cfg = SOURCES[source]
+    parts = [
+        "FROM series s",
+        dim_join("f", "flow", flow_code(flow)),
+        dim_join("l", "hs_level", str(level)),
+        dim_join("pa", "partner", partner_codes),
+        "JOIN data_points dp ON dp.series_id = s.series_id",
+    ]
+    where = [value_filter(source)]
+    if cfg["dataset_filter"]:
+        where.append(f"s.dataset_code = '{cfg['dataset_filter']}'")
+    return "\n".join(parts), where
+
+
+def header(
+    source: str,
+    args: argparse.Namespace,
+    partner_name: str,
+    level: int,
+    extra: str = "",
+) -> str:
+    cfg = SOURCES[source]
+    lines = [
+        f"-- generated by trade_sql.py {args.command}: {cfg['reporter']} {args.flow} "
+        f"vs {partner_name}, {args.start}..{args.end}, HS-{level} level",
+        f'-- run with the run_sql tool, schema="{cfg["schema"]}"',
+    ]
+    if getattr(args, "metric", "value") == "quantity":
+        lines.append(
+            "-- quantities use product-specific units; measurement_units is returned "
+            "with each series"
+        )
+    else:
+        lines.append(
+            f"-- values in {cfg['value_unit']} ({cfg['reporter']} customs' own view)"
+        )
+    if extra:
+        lines.append(f"-- {extra}")
+    return "\n".join(lines)
+
+
+def sql_total(args: argparse.Namespace) -> str:
+    source = args.source
+    partner_codes, partner_name = resolve_partner(source, args.partner)
+    level = resolve_level(source, args.level)
+    lo, hi = date_bounds(args.start, args.end)
+
+    joins, where = base_joins(source, args.flow, level, partner_codes)
+    where.append(f"dp.time >= DATE '{lo}' AND dp.time < DATE '{hi}'")
+    if args.monthly:
+        select, group = (
+            "dp.time::date AS month, SUM(dp.value) AS value",
+            "\nGROUP BY 1\nORDER BY 1",
+        )
+    else:
+        select, group = "SUM(dp.value) AS value", ""
+    conditions = "\n  AND ".join(where)
+    body = f"SELECT {select}\n{joins}\nWHERE {conditions}{group};"
+    note = add_partner_code_note(
+        f"all-goods total = sum over every HS-{level} line for this partner",
+        partner_codes,
+    )
+    return header(source, args, partner_name, level, note) + "\n" + body
+
+
+def sql_products(args: argparse.Namespace) -> str:
+    source = args.source
+    partner_codes, partner_name = resolve_partner(source, args.partner)
+    level = resolve_level(source, args.level)
+    group_digits = int(args.group_by)
+    if group_digits > level:
+        fail(
+            f"--group-by {group_digits} is finer than the HS-{level} lines being queried"
+        )
+    lo, hi = date_bounds(args.start, args.end)
+
+    joins, where = base_joins(source, args.flow, level, partner_codes)
+    joins += "\n" + (
+        "JOIN dimensions c ON c.series_id = s.series_id\n"
+        "  AND c.dimension_type = 'commodity'"
+    )
+    where.append(f"dp.time >= DATE '{lo}' AND dp.time < DATE '{hi}'")
+    conditions = "\n  AND ".join(where)
+    body = (
+        f"SELECT LEFT(c.dimension_code, {group_digits}) AS code, SUM(dp.value) AS value\n"
+        f"{joins}\n"
+        f"WHERE {conditions}\n"
+        f"GROUP BY 1\nORDER BY 2 DESC\nLIMIT {args.top};"
+    )
+    label_hint = (
+        "name the codes locally with the bundled hs_codes.py helper"
+        if group_digits in (2, 4, 6)
+        else "national-line names live in dimensions.dimension_name (dimension_type='commodity')"
+    )
+    note = add_partner_code_note(
+        f"top products by first {group_digits} HS digits; {label_hint}",
+        partner_codes,
+    )
+    return header(source, args, partner_name, level, note) + "\n" + body
+
+
+def sql_trend(args: argparse.Namespace) -> str:
+    source = args.source
+    cfg = SOURCES[source]
+    partner_codes, partner_name = resolve_partner(source, args.partner)
+    code = args.hs.strip()
+    if re.fullmatch(r"[0-9]+", code, flags=re.ASCII) is None:
+        fail(f"--hs must be an HS code, got '{args.hs}'")
+    lo, hi = date_bounds(args.start, args.end)
+
+    if (
+        len(code) in cfg["levels"]
+        and args.metric == "value"
+        and args.level in (None, len(code))
+    ):
+        # Full-length code at a stored level: the series ID is constructible.
+        level = len(code)
+        series_ids = [
+            f"{cfg['prefix']}_{flow_code(args.flow)}_{level}d_{code}_{partner_code}"
+            for partner_code in partner_codes
+        ]
+        if len(series_ids) == 1:
+            body = (
+                f"SELECT time::date AS month, value\n"
+                f"FROM data_points\n"
+                f"WHERE series_id = {sql_string(series_ids[0])}\n"
+                f"  AND time >= DATE '{lo}' AND time < DATE '{hi}'\n"
+                f"ORDER BY time;"
+            )
+            note = f"exact series: {series_ids[0]}"
+        else:
+            id_list = ",\n    ".join(sql_string(series_id) for series_id in series_ids)
+            body = (
+                f"SELECT time::date AS month, SUM(value) AS value\n"
+                f"FROM data_points\n"
+                f"WHERE series_id IN (\n    {id_list})\n"
+                f"  AND time >= DATE '{lo}' AND time < DATE '{hi}'\n"
+                f"GROUP BY 1\n"
+                f"ORDER BY 1;"
+            )
+            note = (
+                f"{len(series_ids)} historical partner-code series combined: "
+                + ", ".join(series_ids)
+            )
+        return header(source, args, partner_name, level, note) + "\n" + body
+
+    if args.metric != "value":
+        if not cfg["qty_suffixes"]:
+            fail(f"source '{source}' stores value series only — no quantity/weight")
+        level = len(code)
+        if level not in cfg["qty_levels"]:
+            fail(
+                f"source '{source}' stores quantity only at HS level(s) "
+                f"{cfg['qty_levels']} — pass a full-length code at one of those levels"
+            )
+        if args.level not in (None, level):
+            fail(
+                "quantity queries require one exact stored HS code; --level must "
+                "match the code length or be omitted"
+            )
+        ids = [
+            f"{cfg['prefix']}_{flow_code(args.flow)}_{level}d_{code}_{partner_code}_{sfx}"
+            for partner_code in partner_codes
+            for sfx in cfg["qty_suffixes"]
+        ]
+        id_list = ",\n    ".join(sql_string(series_id) for series_id in ids)
+        body = (
+            f"SELECT s.series_id, s.measurement_units, dp.time::date AS month, dp.value\n"
+            f"FROM series s JOIN data_points dp ON dp.series_id = s.series_id\n"
+            f"WHERE s.series_id IN (\n    {id_list})\n"
+            f"  AND dp.time >= DATE '{lo}' AND dp.time < DATE '{hi}'\n"
+            f"ORDER BY s.series_id, dp.time;"
+        )
+        note = add_partner_code_note(
+            "quantity units are product-specific — read measurement_units off "
+            "each row and NEVER sum quantities across products",
+            partner_codes,
+        )
+        return header(source, args, partner_name, level, note) + "\n" + body
+
+    # Short (group) code over stored lines: aggregate via the commodity dimension.
+    level = resolve_level(source, args.level)
+    if len(code) not in (2, 4, 6):
+        fail(
+            f"--hs '{code}' is not a stored level for '{source}' and is not a "
+            "2/4/6-digit HS group"
+        )
+    if len(code) >= level:
+        fail(
+            f"--hs '{code}' is not a stored level for '{source}' (levels {cfg['levels']}) "
+            "and not shorter than the aggregation level — pass a full-length code, "
+            f"or a 2/4/6-digit group with --level {level}"
+        )
+    joins, where = base_joins(source, args.flow, level, partner_codes)
+    joins += "\n" + (
+        "JOIN dimensions c ON c.series_id = s.series_id\n"
+        f"  AND c.dimension_type = 'commodity' AND c.dimension_code LIKE '{code}%'"
+    )
+    where.append(f"dp.time >= DATE '{lo}' AND dp.time < DATE '{hi}'")
+    conditions = "\n  AND ".join(where)
+    body = (
+        f"SELECT dp.time::date AS month, SUM(dp.value) AS value\n"
+        f"{joins}\n"
+        f"WHERE {conditions}\n"
+        f"GROUP BY 1\nORDER BY 1;"
+    )
+    note = add_partner_code_note(
+        f"HS group {code}* summed over HS-{level} lines", partner_codes
+    )
+    return header(source, args, partner_name, level, note) + "\n" + body
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(
+        description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter
+    )
+    sub = parser.add_subparsers(dest="command", required=True)
+
+    def add_common(p: argparse.ArgumentParser) -> None:
+        p.add_argument("--source", required=True, choices=sorted(SOURCES))
+        p.add_argument(
+            "--partner",
+            required=True,
+            help="partner code or name fragment (resolved against the bundled per-source map); "
+            "'world' = the all-partner total row (census only)",
+        )
+        p.add_argument("--flow", required=True, choices=["imports", "exports"])
+        p.add_argument(
+            "--start", required=True, help="first month, YYYY-MM (inclusive)"
+        )
+        p.add_argument("--end", required=True, help="last month, YYYY-MM (inclusive)")
+        p.add_argument(
+            "--level",
+            type=int,
+            help="HS digit level (default: the source's international level)",
+        )
+
+    p_total = sub.add_parser("total", help="all-goods total for one partner")
+    add_common(p_total)
+    p_total.add_argument("--monthly", action="store_true", help="one row per month")
+
+    p_products = sub.add_parser("products", help="top products for one partner")
+    add_common(p_products)
+    p_products.add_argument(
+        "--group-by",
+        default="2",
+        choices=["2", "4", "6"],
+        help="HS digits to group by (default 2)",
+    )
+    p_products.add_argument(
+        "--top",
+        type=limited_positive_int,
+        default=25,
+        help="rows to return, 1-50 (default 25)",
+    )
+
+    p_trend = sub.add_parser("trend", help="monthly trend for one HS code or group")
+    add_common(p_trend)
+    p_trend.add_argument(
+        "--hs",
+        required=True,
+        help="HS code: full-length = exact series, 2/4/6-digit = summed group",
+    )
+    p_trend.add_argument(
+        "--metric",
+        default="value",
+        choices=["value", "quantity"],
+        help="default: value",
+    )
+
+    args = parser.parse_args()
+    print(
+        {"total": sql_total, "products": sql_products, "trend": sql_trend}[
+            args.command
+        ](args)
+    )
+
+
+if __name__ == "__main__":
+    main()

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