# -*- coding: utf-8 -*-
"""鎵嬪伐绀轰緥鏁版嵁鐏屽叆锛氭寜 schema_ODS_doc.sql 涓婚敭/鍞竴閿壒閲忓啓鍏?ODS銆?""
from __future__ import annotations

import json
import os
from datetime import datetime
from typing import Any, Iterable

from psycopg2.extras import Json

from .base_task import BaseTask


class ManualIngestTask(BaseTask):
    """鏈湴绀轰緥 JSON 鐏屽叆 ODS锛岀‘淇濊〃鍚嶃€佷富閿€佹彃鍏ュ垪涓?schema_ODS_doc.sql 瀵归綈銆?""

    def __init__(self, config, db_connection, api_client, logger):
        """鍒濆鍖栫紦瀛橈紝閬垮厤閲嶅鏌ヨ琛ㄧ粨鏋勩€?""
        super().__init__(config, db_connection, api_client, logger)
        self._table_columns_cache: dict[str, list[str]] = {}

    # 鏂囦欢鍏抽敭璇?-> 鐩爣琛紙鍖归厤 C:\dev\LLTQ\export\temp\source-data-doc 涓嬬ず鑼?JSON 鍚嶇О锛?    FILE_MAPPING: list[tuple[tuple[str, ...], str]] = [
        (("浼氬憳妗ｆ", "member_profiles"), "billiards_ods.member_profiles"),
        (("浣欓鍙樻洿璁板綍", "member_balance_changes"), "billiards_ods.member_balance_changes"),
        (("鍌ㄥ€煎崱鍒楄〃", "member_stored_value_cards"), "billiards_ods.member_stored_value_cards"),
        (("鍏呭€艰褰?, "recharge_settlements"), "billiards_ods.recharge_settlements"),
        (("缁撹处璁板綍", "settlement_records"), "billiards_ods.settlement_records"),
        (("鍔╂暀搴熼櫎", "assistant_cancellation_records"), "billiards_ods.assistant_cancellation_records"),
        (("鍔╂暀璐﹀彿", "assistant_accounts_master"), "billiards_ods.assistant_accounts_master"),
        (("鍔╂暀娴佹按", "assistant_service_records"), "billiards_ods.assistant_service_records"),
        (("鍙版鍒楄〃", "site_tables_master"), "billiards_ods.site_tables_master"),
        (("鍙拌垂鎵撴姌", "table_fee_discount_records"), "billiards_ods.table_fee_discount_records"),
        (("鍙拌垂娴佹按", "table_fee_transactions"), "billiards_ods.table_fee_transactions"),
        (("搴撳瓨鍙樺寲璁板綍1", "goods_stock_movements"), "billiards_ods.goods_stock_movements"),
        (("搴撳瓨鍙樺寲璁板綍2", "stock_goods_category_tree"), "billiards_ods.stock_goods_category_tree"),
        (("搴撳瓨姹囨€?, "goods_stock_summary"), "billiards_ods.goods_stock_summary"),
        (("鏀粯璁板綍", "payment_transactions"), "billiards_ods.payment_transactions"),
        (("閫€娆捐褰?, "refund_transactions"), "billiards_ods.refund_transactions"),
        (("骞冲彴楠屽埜璁板綍", "platform_coupon_redemption_records"), "billiards_ods.platform_coupon_redemption_records"),
        (("鍥㈣喘濂楅娴佹按", "group_buy_redemption_records"), "billiards_ods.group_buy_packages_ledger"),
        (("鍥㈣喘濂楅", "group_buy_packages"), "billiards_ods.group_buy_packages"),
        (("灏忕エ璇︽儏", "settlement_ticket_details"), "billiards_ods.settlement_ticket_details"),
        (("闂ㄥ簵鍟嗗搧妗ｆ", "store_goods_master"), "billiards_ods.store_goods_master"),
        (("鍟嗗搧妗ｆ", "tenant_goods_master"), "billiards_ods.tenant_goods_master"),
        (("闂ㄥ簵鍟嗗搧閿€鍞褰?, "store_goods_sales_records"), "billiards_ods.store_goods_sales_records"),
    ]

    # 琛ㄧ粨鏋勮鏄庯細pk=涓婚敭鍒?None 琛ㄧず鏃犲啿绐佹洿鏂?锛宩son_cols=闇€瑕佸崟鍒楀瓨 JSONB 鐨勫瓧娈?    TABLE_SPECS: dict[str, dict[str, Any]] = {
        "billiards_ods.member_profiles": {"pk": "id"},
        "billiards_ods.member_balance_changes": {"pk": "id"},
        "billiards_ods.member_stored_value_cards": {"pk": "id"},
        "billiards_ods.recharge_settlements": {"pk": None, "json_cols": ["settleList", "siteProfile"]},
        "billiards_ods.settlement_records": {"pk": None, "json_cols": ["settleList", "siteProfile"]},
        "billiards_ods.assistant_cancellation_records": {"pk": "id", "json_cols": ["siteProfile"]},
        "billiards_ods.assistant_accounts_master": {"pk": "id"},
        "billiards_ods.assistant_service_records": {"pk": "id", "json_cols": ["siteProfile"]},
        "billiards_ods.site_tables_master": {"pk": "id"},
        "billiards_ods.table_fee_discount_records": {"pk": "id", "json_cols": ["siteProfile", "tableProfile"]},
        "billiards_ods.table_fee_transactions": {"pk": "id", "json_cols": ["siteProfile"]},
        "billiards_ods.goods_stock_movements": {"pk": "siteGoodsStockId"},
        "billiards_ods.stock_goods_category_tree": {"pk": "id", "json_cols": ["categoryBoxes"]},
        "billiards_ods.goods_stock_summary": {"pk": "siteGoodsId"},
        "billiards_ods.payment_transactions": {"pk": "id", "json_cols": ["siteProfile"]},
        "billiards_ods.refund_transactions": {"pk": "id", "json_cols": ["siteProfile"]},
        "billiards_ods.platform_coupon_redemption_records": {"pk": "id"},
        "billiards_ods.tenant_goods_master": {"pk": "id"},
        "billiards_ods.group_buy_packages": {"pk": "id"},
        "billiards_ods.group_buy_packages_ledger": {"pk": "id"},
        "billiards_ods.settlement_ticket_details": {
            "pk": "orderSettleId",
            "json_cols": ["memberProfile", "orderItem", "tenantMemberCardLogs"],
        },
        "billiards_ods.store_goods_master": {"pk": "id"},
        "billiards_ods.store_goods_sales_records": {"pk": "id"},
    }

    def get_task_code(self) -> str:
        """杩斿洖浠诲姟缂栫爜銆?""
        return "MANUAL_INGEST"

    def execute(self, cursor_data: dict | None = None) -> dict:
        """浠庣ず鑼冪洰褰曡鍙?JSON锛屾寜琛?涓婚敭鎵归噺鍏ュ簱銆?""
        data_dir = (
            self.config.get("manual.data_dir")
            or self.config.get("pipeline.ingest_source_dir")
            or r"c:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tests\testdata_json"
        )
        if not os.path.exists(data_dir):
            self.logger.error("Data directory not found: %s", data_dir)
            return {"status": "error", "message": "Directory not found"}

        counts = {"fetched": 0, "inserted": 0, "updated": 0, "skipped": 0, "errors": 0}

        for filename in sorted(os.listdir(data_dir)):
            if not filename.endswith(".json"):
                continue
            filepath = os.path.join(data_dir, filename)
            try:
                with open(filepath, "r", encoding="utf-8") as fh:
                    raw_entries = json.load(fh)
            except Exception:
                counts["errors"] += 1
                self.logger.exception("Failed to read %s", filename)
                continue

            if not isinstance(raw_entries, list):
                raw_entries = [raw_entries]

            records = self._extract_records(raw_entries)
            if not records:
                counts["skipped"] += 1
                continue

            target_table = self._match_by_filename(filename)
            if not target_table:
                self.logger.warning("No mapping found for file: %s", filename)
                counts["skipped"] += 1
                continue

            self.logger.info("Ingesting %s into %s", filename, target_table)
            try:
                inserted, updated = self._ingest_table(target_table, records, filename)
                counts["inserted"] += inserted
                counts["updated"] += updated
                counts["fetched"] += len(records)
            except Exception:
                counts["errors"] += 1
                self.logger.exception("Error processing %s", filename)
                self.db.rollback()
                continue

        try:
            self.db.commit()
        except Exception:
            self.db.rollback()
            raise

        return {"status": "SUCCESS", "counts": counts}

    # ------------------------------------------------------------------ helpers
    def _match_by_filename(self, filename: str) -> str | None:
        """鏍规嵁鏂囦欢鍚嶅叧閿瘝鎵惧埌鐩爣琛ㄣ€?""
        for keywords, table in self.FILE_MAPPING:
            if any(keyword and keyword in filename for keyword in keywords):
                return table
        return None

    def _extract_records(self, raw_entries: Iterable[Any]) -> list[dict]:
        """鍏煎澶氱 JSON 缁撴瀯锛屾彁鍙栨垚璁板綍鍒楄〃銆?""
        records: list[dict] = []
        for entry in raw_entries:
            if isinstance(entry, dict):
                # 濡傛灉鍚?data 涓旇繕鍖呭惈鍏朵粬閿紙濡?orderSettleId锛夛紝浼樺厛淇濈暀澶栧眰浠ュ厤涓㈠け涓婚敭
                preferred = entry
                if "data" in entry and not any(k not in {"data", "code"} for k in entry.keys()):
                    preferred = entry["data"]
                data = preferred
                if isinstance(data, dict):
                    list_used = False
                    for v in data.values():
                        if isinstance(v, list) and v and isinstance(v[0], dict):
                            records.extend(v)
                            list_used = True
                            break
                    if list_used:
                        continue
                if isinstance(data, list) and data and isinstance(data[0], dict):
                    records.extend(data)
                elif isinstance(data, dict):
                    records.append(data)
            elif isinstance(entry, list):
                records.extend([item for item in entry if isinstance(item, dict)])
        return records

    def _get_table_columns(self, table: str) -> list[str]:
        """鏌ヨ淇℃伅_schema锛岃幏鍙栫洰鏍囪〃鐨勫叏閮ㄥ垪鍚嶏紙鎸夐『搴忥級銆?""
        if table in self._table_columns_cache:
            return self._table_columns_cache[table]
        if "." in table:
            schema, name = table.split(".", 1)
        else:
            schema, name = "public", table
        sql = """
            SELECT column_name, data_type, udt_name
            FROM information_schema.columns
            WHERE table_schema = %s AND table_name = %s
            ORDER BY ordinal_position
        """
        with self.db.conn.cursor() as cur:
            cur.execute(sql, (schema, name))
            cols = [(r[0], (r[1] or "").lower(), (r[2] or "").lower()) for r in cur.fetchall()]
        self._table_columns_cache[table] = cols
        return cols

    def _ingest_table(self, table: str, records: list[dict], source_file: str) -> tuple[int, int]:
        """鏋勯€?INSERT/ON CONFLICT 璇彞骞舵壒閲忔墽琛屻€?""
        spec = self.TABLE_SPECS.get(table)
        if not spec:
            raise ValueError(f"No table spec for {table}")

        pk_col = spec.get("pk")
        json_cols = set(spec.get("json_cols", []))
        json_cols_lower = {c.lower() for c in json_cols}

        columns_info = self._get_table_columns(table)
        columns = [c[0] for c in columns_info]
        db_json_cols_lower = {
            c[0].lower() for c in columns_info if c[1] in ("json", "jsonb") or c[2] in ("json", "jsonb")
        }
        pk_col_db = None
        if pk_col:
            pk_col_db = next((c for c in columns if c.lower() == pk_col.lower()), pk_col)

        placeholders = ", ".join(["%s"] * len(columns))
        col_list = ", ".join(f'"{c}"' for c in columns)
        sql = f'INSERT INTO {table} ({col_list}) VALUES ({placeholders})'
        if pk_col_db:
            update_cols = [c for c in columns if c != pk_col_db]
            set_clause = ", ".join(f'"{c}"=EXCLUDED."{c}"' for c in update_cols)
            sql += f' ON CONFLICT ("{pk_col_db}") DO UPDATE SET {set_clause}'
        sql += " RETURNING (xmax = 0) AS inserted"

        params = []
        now = datetime.now()
        json_dump = lambda v: json.dumps(v, ensure_ascii=False)  # noqa: E731
        for rec in records:
            merged_rec = rec if isinstance(rec, dict) else {}
            # 閫愬眰灞曞紑 data -> data.data 缁撴瀯锛屽～鍏呯己澶卞瓧娈?            data_part = merged_rec.get("data")
            while isinstance(data_part, dict):
                merged_rec = {**data_part, **merged_rec}
                data_part = data_part.get("data")

            pk_val = self._get_value_case_insensitive(merged_rec, pk_col) if pk_col else None
            if pk_col and (pk_val is None or pk_val == ""):
                continue

            row_vals = []
            for col_name, data_type, udt in columns_info:
                col_lower = col_name.lower()
                if col_lower == "payload":
                    row_vals.append(Json(rec, dumps=json_dump))
                    continue
                if col_lower == "source_file":
                    row_vals.append(source_file)
                    continue
                if col_lower == "fetched_at":
                    row_vals.append(merged_rec.get(col_name, now))
                    continue

                value = self._normalize_scalar(self._get_value_case_insensitive(merged_rec, col_name))

                if col_lower in json_cols_lower or col_lower in db_json_cols_lower:
                    row_vals.append(Json(value, dumps=json_dump) if value is not None else None)
                    continue

                casted = self._cast_value(value, data_type)
                row_vals.append(casted)
            params.append(tuple(row_vals))

        if not params:
            return 0, 0

        inserted = 0
        updated = 0
        with self.db.conn.cursor() as cur:
            for row in params:
                cur.execute(sql, row)
                try:
                    flag = cur.fetchone()[0]
                except Exception:
                    flag = None
                if flag:
                    inserted += 1
                else:
                    updated += 1
        return inserted, updated

    def _get_value_case_insensitive(self, record: dict, col: str):
        """蹇界暐澶у皬鍐欒幏鍙栧€硷紝鍏煎 information_schema 灏忓啓鍒楀悕涓?JSON 鍘熷澶у皬鍐欍€?""
        if record is None:
            return None
        if col is None:
            return None
        if col in record:
            return record.get(col)
        col_lower = col.lower()
        for k, v in record.items():
            if isinstance(k, str) and k.lower() == col_lower:
                return v
        return None

    def _normalize_scalar(self, value):
        """灏嗙┖瀛楃涓叉爣鍑嗗寲涓?None锛岄伩鍏嶆暟鍊?鏃堕棿瀛楁绫诲瀷閿欒銆?""
        if value == "" or value == "{}" or value == "[]":
            return None
        return value

    def _cast_value(self, value, data_type: str):
        """鏍规嵁鍒楃被鍨嬪仛杞婚噺杞崲锛岄伩鍏嶇被鍨嬩笉鍖归厤銆?""
        if value is None:
            return None
        dt = (data_type or "").lower()
        if dt in ("integer", "bigint", "smallint"):
            if isinstance(value, bool):
                return int(value)
            try:
                return int(value)
            except Exception:
                return None
        if dt in ("numeric", "double precision", "real", "decimal"):
            if isinstance(value, bool):
                return int(value)
            try:
                return float(value)
            except Exception:
                return None
        if dt.startswith("timestamp") or dt in ("date", "time", "interval"):
            # 浠呮帴鍙楀瓧绗︿覆/鏃ユ湡锛屾暟鍊肩瓑涓€寰嬬疆绌?            return value if isinstance(value, str) else None
        return value