整理 SQL 的 注释
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tmp/etl_billiards_misc/tmp & Delete/schema_ODS_doc.sql.bak
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tmp/etl_billiards_misc/tmp & Delete/schema_ODS_doc.sql.bak
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tmp/etl_billiards_misc/tmp & Delete/schema_ODS_doc.sql.rewrite2.bak
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tmp/etl_billiards_misc/tmp & Delete/schema_ODS_doc.sql.rewrite2.bak
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tmp/etl_billiards_misc/tmp & Delete/schema_dwd_doc.sql.bak
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tmp/etl_billiards_misc/tmp & Delete/schema_dwd_doc.sql.bak
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tmp/rewrite_schema_dwd_doc_comments.py
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tmp/rewrite_schema_dwd_doc_comments.py
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# -*- coding: utf-8 -*-
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import ast
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import json
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import re
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from collections import deque
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from pathlib import Path
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ROOT = Path(r"C:\dev\LLTQ\ETL\feiqiu-ETL")
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SQL_PATH = ROOT / "etl_billiards" / "database" / "schema_dwd_doc.sql"
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DOC_DIR = Path(r"C:\dev\LLTQ\export\test-json-doc")
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DWD_TASK_PATH = ROOT / "etl_billiards" / "tasks" / "dwd_load_task.py"
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SCD_COLS = {"scd2_start_time", "scd2_end_time", "scd2_is_current", "scd2_version"}
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SITEPROFILE_FIELD_PURPOSE = {
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"id": "门店 ID，用于门店维度关联。",
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"org_id": "组织/机构 ID，用于组织维度归属。",
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"shop_name": "门店名称，用于展示与查询。",
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"site_label": "门店标签（如 A/B 店），用于展示与分组。",
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"full_address": "门店详细地址，用于展示与地理信息。",
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"address": "门店地址简称/快照，用于展示。",
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"longitude": "经度，用于定位与地图展示。",
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"latitude": "纬度，用于定位与地图展示。",
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"tenant_site_region_id": "租户下门店区域 ID，用于区域维度分析。",
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"business_tel": "门店电话，用于联系信息展示。",
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"site_type": "门店类型枚举，用于门店分类。",
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"shop_status": "门店状态枚举，用于营业状态标识。",
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"tenant_id": "租户/品牌 ID，用于商户维度过滤与关联。",
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"auto_light": "是否启用自动灯控配置，用于门店设备策略。",
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"attendance_enabled": "是否启用考勤功能，用于门店考勤配置。",
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"attendance_distance": "考勤允许距离（米），用于考勤打卡限制。",
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"prod_env": "环境标识（生产/测试），用于区分配置环境。",
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"light_status": "灯控状态/开关，用于灯控设备管理。",
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"light_type": "灯控类型，用于设备类型区分。",
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"light_token": "灯控控制令牌，用于对接灯控服务。",
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"avatar": "门店头像/图片 URL，用于展示。",
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"wifi_name": "门店 WiFi 名称，用于展示与引导。",
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"wifi_password": "门店 WiFi 密码，用于展示与引导。",
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"customer_service_qrcode": "客服二维码 URL，用于引导联系。",
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"customer_service_wechat": "客服微信号，用于引导联系。",
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"fixed_pay_qrCode": "固定收款码（二维码）URL，用于收款引导。",
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"create_time": "门店创建时间（快照字段）。",
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"update_time": "门店更新时间（快照字段）。",
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}
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def _escape_sql(s: str) -> str:
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return (s or "").replace("'", "''")
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def _first_sentence(text: str, max_len: int = 140) -> str:
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s = re.sub(r"\s+", " ", (text or "").strip())
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if not s:
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return ""
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parts = re.split(r"[。；;]\s*", s)
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s = parts[0].strip() if parts else s
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if len(s) > max_len:
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s = s[: max_len - 1] + "…"
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return s
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def normalize_key(s: str) -> str:
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return re.sub(r"[_\-\s]", "", (s or "").lower())
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def snake_to_lower_camel(s: str) -> str:
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parts = re.split(r"[_\-\s]+", s)
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if not parts:
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return s
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first = parts[0].lower()
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rest = "".join(p[:1].upper() + p[1:] for p in parts[1:] if p)
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return first + rest
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def snake_to_upper_camel(s: str) -> str:
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parts = re.split(r"[_\-\s]+", s)
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return "".join(p[:1].upper() + p[1:] for p in parts if p)
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def find_key_in_record(record: dict, token: str) -> str | None:
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if not isinstance(record, dict):
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return None
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if token in record:
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return token
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norm_to_key = {normalize_key(k): k for k in record.keys()}
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candidates = [
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token,
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token.lower(),
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token.upper(),
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snake_to_lower_camel(token),
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snake_to_upper_camel(token),
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]
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# 常见变体：siteProfile/siteprofile
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if normalize_key(token) == "siteprofile":
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candidates.extend(["siteProfile", "siteprofile"])
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for c in candidates:
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nk = normalize_key(c)
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if nk in norm_to_key:
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return norm_to_key[nk]
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return None
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def parse_dwd_task_mappings(path: Path):
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mod = ast.parse(path.read_text(encoding="utf-8"))
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table_map = None
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fact_mappings = None
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for node in mod.body:
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if isinstance(node, ast.ClassDef) and node.name == "DwdLoadTask":
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for stmt in node.body:
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if isinstance(stmt, ast.Assign) and len(stmt.targets) == 1 and isinstance(stmt.targets[0], ast.Name):
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name = stmt.targets[0].id
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if name == "TABLE_MAP":
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table_map = ast.literal_eval(stmt.value)
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elif name == "FACT_MAPPINGS":
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fact_mappings = ast.literal_eval(stmt.value)
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if isinstance(stmt, ast.AnnAssign) and isinstance(stmt.target, ast.Name):
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name = stmt.target.id
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if name == "TABLE_MAP":
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table_map = ast.literal_eval(stmt.value)
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elif name == "FACT_MAPPINGS":
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fact_mappings = ast.literal_eval(stmt.value)
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if not isinstance(table_map, dict) or not isinstance(fact_mappings, dict):
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raise RuntimeError("Failed to parse TABLE_MAP/FACT_MAPPINGS from dwd_load_task.py")
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return table_map, fact_mappings
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def parse_columns_from_ddl(create_sql: str):
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start = create_sql.find("(")
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end = create_sql.rfind(")")
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body = create_sql[start + 1 : end]
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cols = []
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for line in body.splitlines():
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s = line.strip().rstrip(",")
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if not s:
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continue
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if s.upper().startswith("PRIMARY KEY"):
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continue
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if s.upper().startswith("CONSTRAINT "):
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continue
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m = re.match(r"^([A-Za-z_][A-Za-z0-9_]*)\s+", s)
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if not m:
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continue
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name = m.group(1)
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if name.upper() in {"PRIMARY", "UNIQUE", "FOREIGN", "CHECK"}:
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continue
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cols.append(name.lower())
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return cols
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def _find_best_record_list(data, required_norm_keys: set[str]):
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best = None
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best_score = -1.0
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best_path: list[str] = []
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q = deque([(data, 0, [])])
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visited = 0
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while q and visited < 25000:
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node, depth, path = q.popleft()
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visited += 1
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if depth > 10:
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continue
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if isinstance(node, list):
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if node and all(isinstance(x, dict) for x in node[:3]):
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scores = []
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for x in node[:5]:
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keys_norm = {normalize_key(k) for k in x.keys()}
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scores.append(len(keys_norm & required_norm_keys))
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score = sum(scores) / max(1, len(scores))
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if score > best_score:
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best_score = score
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best = node
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best_path = path
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for x in node[:10]:
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q.append((x, depth + 1, path))
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else:
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for x in node[:120]:
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q.append((x, depth + 1, path))
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elif isinstance(node, dict):
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for k, v in list(node.items())[:160]:
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q.append((v, depth + 1, path + [str(k)]))
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node_str = ".".join(best_path) if best_path else "$"
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return best or [], node_str
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def _format_example(value, max_len: int = 120) -> str:
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if value is None:
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return "NULL"
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if isinstance(value, bool):
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return "true" if value else "false"
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if isinstance(value, (int, float)):
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return str(value)
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if isinstance(value, str):
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s = value.strip()
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if len(s) > max_len:
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s = s[: max_len - 1] + "…"
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return s
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if isinstance(value, dict):
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keys = list(value)[:6]
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mini = {k: value.get(k) for k in keys}
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rendered = json.dumps(mini, ensure_ascii=False)
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if len(value) > len(keys):
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rendered = rendered[:-1] + ", …}"
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if len(rendered) > max_len:
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rendered = rendered[: max_len - 1] + "…"
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return rendered
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if isinstance(value, list):
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if not value:
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return "[]"
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rendered = json.dumps(value[0], ensure_ascii=False)
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if len(value) > 1:
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rendered = f"[{rendered}, …] (len={len(value)})"
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else:
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rendered = f"[{rendered}]"
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if len(rendered) > max_len:
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rendered = rendered[: max_len - 1] + "…"
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return rendered
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s = str(value)
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if len(s) > max_len:
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s = s[: max_len - 1] + "…"
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return s
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def _infer_purpose(table: str, col: str, json_path: str | None) -> str:
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lcol = col.lower()
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if lcol in SCD_COLS:
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if lcol == "scd2_start_time":
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return "SCD2 开始时间（版本生效起点），用于维度慢变追踪。"
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if lcol == "scd2_end_time":
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return "SCD2 结束时间（默认 9999-12-31 表示当前版本），用于维度慢变追踪。"
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if lcol == "scd2_is_current":
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return "SCD2 当前版本标记（1=当前，0=历史），用于筛选最新维度记录。"
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if lcol == "scd2_version":
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return "SCD2 版本号（自增），用于与时间段一起避免版本重叠。"
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if json_path and json_path.startswith("siteProfile."):
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sf = json_path.split(".", 1)[1]
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return SITEPROFILE_FIELD_PURPOSE.get(sf, "门店快照字段，用于门店维度补充信息。")
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if lcol.endswith("_id"):
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return "标识类 ID 字段，用于关联/定位相关实体。"
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if lcol.endswith("_time") or lcol.endswith("time") or lcol.endswith("_date"):
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return "时间/日期字段，用于记录业务时间与统计口径对齐。"
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if any(k in lcol for k in ["amount", "money", "fee", "price", "deduct", "cost", "balance"]):
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return "金额字段，用于计费/结算/核算等金额计算。"
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if any(k in lcol for k in ["count", "num", "number", "seconds", "qty", "quantity"]):
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return "数量/时长字段，用于统计与计量。"
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if lcol.endswith("_name") or lcol.endswith("name"):
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return "名称字段，用于展示与辅助识别。"
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if lcol.endswith("_status") or lcol == "status":
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return "状态枚举字段，用于标识业务状态。"
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if lcol.startswith("is_") or lcol.startswith("can_"):
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return "布尔/开关字段，用于表示是否/可用性等业务开关。"
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# 表级兜底
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if table.startswith("dim_"):
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return "维度字段，用于补充维度属性。"
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return "明细字段，用于记录事实取值。"
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def _parse_json_extract(expr: str):
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# e.g. siteprofile->>'org_id'
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m = re.match(r"^([A-Za-z_][A-Za-z0-9_]*)\s*->>\s*'([^']+)'\s*$", expr)
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if not m:
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return None
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base = m.group(1)
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field = m.group(2)
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if normalize_key(base) == "siteprofile":
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base = "siteProfile"
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return base, field
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def build_table_comment(table: str, source_ods: str | None, source_json_base: str | None) -> str:
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table_l = table.lower()
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if table_l.startswith("dim_"):
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kind = "DWD 维度表"
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else:
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kind = "DWD 明细事实表"
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extra = "扩展字段表" if table_l.endswith("_ex") else ""
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if source_ods and source_json_base:
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src = (
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f"ODS 来源表：{source_ods}（对应 JSON：{source_json_base}.json；分析：{source_json_base}-Analysis.md）。"
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f"装载/清洗逻辑参考：etl_billiards/tasks/dwd_load_task.py（DwdLoadTask）。"
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)
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else:
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src = "来源：由 ODS 清洗装载生成（详见 DWD 装载任务）。"
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return f"{kind}{('（' + extra + '）') if extra else ''}：{table_l}。{src}"
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def get_source_info(table_l: str, table_map: dict) -> tuple[str | None, str | None]:
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key = f"billiards_dwd.{table_l}"
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source_ods = table_map.get(key)
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if not source_ods:
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return None, None
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json_base = source_ods.split(".")[-1]
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return source_ods, json_base
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def build_column_mappings(table_l: str, cols: list[str], fact_mappings: dict) -> dict[str, tuple[str | None, str | None]]:
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# return col -> (json_path, src_expr)
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mapping_list = fact_mappings.get(f"billiards_dwd.{table_l}") or []
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explicit = {dwd_col.lower(): src_expr for dwd_col, src_expr, _cast in mapping_list}
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casts = {dwd_col.lower(): cast for dwd_col, _src_expr, cast in mapping_list}
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out: dict[str, tuple[str | None, str | None]] = {}
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for c in cols:
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if c in SCD_COLS:
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out[c] = (None, None)
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continue
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src_expr = explicit.get(c, c)
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cast = casts.get(c)
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json_path = None
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parsed = _parse_json_extract(src_expr)
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if parsed:
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base, field = parsed
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json_path = f"{base}.{field}"
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else:
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# derived: pay_date uses pay_time + cast date
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if cast == "date":
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json_path = src_expr
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else:
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json_path = src_expr
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out[c] = (json_path, src_expr)
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return out
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def load_json_records(json_base: str, required_norm_keys: set[str]):
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json_path = DOC_DIR / f"{json_base}.json"
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data = json.loads(json_path.read_text(encoding="utf-8"))
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return _find_best_record_list(data, required_norm_keys)
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def pick_example_from_record(record: dict, json_path: str | None):
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if not json_path:
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return None
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if json_path.startswith("siteProfile."):
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base_key = find_key_in_record(record, "siteProfile")
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base = record.get(base_key) if base_key else None
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if isinstance(base, dict):
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field = json_path.split(".", 1)[1]
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return base.get(field)
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return None
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# plain key
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key = find_key_in_record(record, json_path)
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if key:
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return record.get(key)
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# fallback: try match by normalized name
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nk = normalize_key(json_path)
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for k in record.keys():
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if normalize_key(k) == nk:
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return record.get(k)
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return None
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def resolve_json_field_display(records: list, json_path: str | None, cast: str | None = None) -> str:
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if not json_path:
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return "无"
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if json_path.startswith("siteProfile."):
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return json_path
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actual_key = None
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for r in records[:80]:
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if not isinstance(r, dict):
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continue
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k = find_key_in_record(r, json_path)
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if k:
|
||||
actual_key = k
|
||||
break
|
||||
|
||||
base = actual_key or json_path
|
||||
if cast == "date":
|
||||
return f"{base}（派生：DATE({base})）"
|
||||
if cast == "boolean":
|
||||
return f"{base}（派生：BOOLEAN({base})）"
|
||||
if cast in {"numeric", "timestamptz"}:
|
||||
return f"{base}（派生：CAST({base} AS {cast})）"
|
||||
return base
|
||||
|
||||
|
||||
def resolve_ods_source_field(records: list, src_expr: str | None, cast: str | None = None) -> str:
|
||||
if not src_expr:
|
||||
return "无"
|
||||
|
||||
parsed = _parse_json_extract(src_expr)
|
||||
if parsed:
|
||||
base, field = parsed
|
||||
# 统一大小写展示
|
||||
if normalize_key(base) == "siteprofile":
|
||||
base = "siteProfile"
|
||||
return f"{base}.{field}"
|
||||
|
||||
# 直接字段：尽量输出 JSON 实际键名（大小写/驼峰）
|
||||
actual = None
|
||||
for r in records[:80]:
|
||||
if not isinstance(r, dict):
|
||||
continue
|
||||
k = find_key_in_record(r, src_expr)
|
||||
if k:
|
||||
actual = k
|
||||
break
|
||||
|
||||
base = actual or src_expr
|
||||
if cast == "date":
|
||||
return f"{base}（派生：DATE({base})）"
|
||||
if cast == "boolean":
|
||||
return f"{base}（派生：BOOLEAN({base})）"
|
||||
if cast in {"numeric", "timestamptz"}:
|
||||
return f"{base}（派生：CAST({base} AS {cast})）"
|
||||
return base
|
||||
|
||||
|
||||
def resolve_json_field_triplet(
|
||||
json_file: str | None,
|
||||
record_node: str | None,
|
||||
records: list,
|
||||
json_path: str | None,
|
||||
cast: str | None = None,
|
||||
) -> str:
|
||||
if not json_file:
|
||||
json_file = "无"
|
||||
node = record_node or "$"
|
||||
|
||||
if not json_path:
|
||||
return f"{json_file} - 无 - 无"
|
||||
|
||||
if json_path.startswith("siteProfile."):
|
||||
base_key = None
|
||||
field_key = None
|
||||
for r in records[:80]:
|
||||
if not isinstance(r, dict):
|
||||
continue
|
||||
base_key = find_key_in_record(r, "siteProfile")
|
||||
if base_key:
|
||||
base = r.get(base_key)
|
||||
if isinstance(base, dict):
|
||||
raw_field = json_path.split(".", 1)[1]
|
||||
# 尽量匹配子字段大小写
|
||||
if raw_field in base:
|
||||
field_key = raw_field
|
||||
else:
|
||||
nk = normalize_key(raw_field)
|
||||
for k in base.keys():
|
||||
if normalize_key(k) == nk:
|
||||
field_key = k
|
||||
break
|
||||
break
|
||||
base_key = base_key or "siteProfile"
|
||||
field_key = field_key or json_path.split(".", 1)[1]
|
||||
node = f"{node}.{base_key}" if node else base_key
|
||||
field = field_key
|
||||
else:
|
||||
actual = None
|
||||
for r in records[:80]:
|
||||
if isinstance(r, dict):
|
||||
actual = find_key_in_record(r, json_path)
|
||||
if actual:
|
||||
break
|
||||
field = actual or json_path
|
||||
|
||||
if cast == "date":
|
||||
field = f"{field}（派生：DATE({field})）"
|
||||
elif cast == "boolean":
|
||||
field = f"{field}（派生：BOOLEAN({field})）"
|
||||
elif cast in {"numeric", "timestamptz"}:
|
||||
field = f"{field}（派生：CAST({field} AS {cast})）"
|
||||
|
||||
return f"{json_file} - {node} - {field}"
|
||||
|
||||
|
||||
def main():
|
||||
table_map, fact_mappings = parse_dwd_task_mappings(DWD_TASK_PATH)
|
||||
|
||||
raw = SQL_PATH.read_text(encoding="utf-8", errors="replace")
|
||||
newline = "\r\n" if "\r\n" in raw else "\n"
|
||||
|
||||
# strip all sql comments and existing COMMENT ON statements, incl. DO-block comment exec lines
|
||||
kept_lines = []
|
||||
for line in raw.splitlines(True):
|
||||
if line.lstrip().startswith("--"):
|
||||
continue
|
||||
if re.match(r"^\s*COMMENT ON\s+(TABLE|COLUMN)\s+", line, re.I):
|
||||
continue
|
||||
if "COMMENT ON COLUMN" in line or "COMMENT ON TABLE" in line:
|
||||
# remove legacy execute format lines too
|
||||
continue
|
||||
kept_lines.append(line)
|
||||
clean = "".join(kept_lines)
|
||||
|
||||
create_re = re.compile(
|
||||
r"(^\s*CREATE TABLE IF NOT EXISTS\s+(?P<table>[A-Za-z0-9_]+)\s*\([\s\S]*?\)\s*;)",
|
||||
re.M,
|
||||
)
|
||||
|
||||
out_parts = []
|
||||
last = 0
|
||||
count_tables = 0
|
||||
|
||||
for m in create_re.finditer(clean):
|
||||
stmt = m.group(1)
|
||||
table = m.group("table").lower()
|
||||
|
||||
out_parts.append(clean[last : m.end()])
|
||||
|
||||
cols = parse_columns_from_ddl(stmt)
|
||||
|
||||
source_ods, json_base = get_source_info(table, table_map)
|
||||
|
||||
# derive required keys
|
||||
required_norm = set()
|
||||
col_map = build_column_mappings(table, cols, fact_mappings)
|
||||
# cast map for json field display
|
||||
cast_map = {
|
||||
dwd_col.lower(): cast
|
||||
for dwd_col, _src_expr, cast in (fact_mappings.get(f"billiards_dwd.{table}") or [])
|
||||
}
|
||||
src_expr_map = {
|
||||
dwd_col.lower(): src_expr
|
||||
for dwd_col, src_expr, _cast in (fact_mappings.get(f"billiards_dwd.{table}") or [])
|
||||
}
|
||||
for c, (jp, _src) in col_map.items():
|
||||
if not jp:
|
||||
continue
|
||||
if jp.startswith("siteProfile."):
|
||||
required_norm.add(normalize_key("siteProfile"))
|
||||
else:
|
||||
required_norm.add(normalize_key(jp))
|
||||
|
||||
records = []
|
||||
record_node = "$"
|
||||
if json_base and (DOC_DIR / f"{json_base}.json").exists():
|
||||
try:
|
||||
records, record_node = load_json_records(json_base, required_norm)
|
||||
except Exception:
|
||||
records = []
|
||||
record_node = "$"
|
||||
|
||||
table_comment = build_table_comment(table, source_ods, json_base)
|
||||
comment_lines = [f"COMMENT ON TABLE billiards_dwd.{table} IS '{_escape_sql(table_comment)}';"]
|
||||
|
||||
for c in cols:
|
||||
jp, _src = col_map.get(c, (None, None))
|
||||
|
||||
if c in SCD_COLS:
|
||||
if c == "scd2_start_time":
|
||||
ex = "2025-11-10T00:00:00+08:00"
|
||||
elif c == "scd2_end_time":
|
||||
ex = "9999-12-31T00:00:00+00:00"
|
||||
elif c == "scd2_is_current":
|
||||
ex = "1"
|
||||
else:
|
||||
ex = "1"
|
||||
json_field = "无 - DWD慢变元数据 - 无"
|
||||
ods_src = "无（DWD慢变元数据）"
|
||||
else:
|
||||
# pick example from first records
|
||||
ex_val = None
|
||||
for r in records[:80]:
|
||||
v = pick_example_from_record(r, jp)
|
||||
if v not in (None, ""):
|
||||
ex_val = v
|
||||
break
|
||||
ex = _format_example(ex_val)
|
||||
json_field = resolve_json_field_triplet(
|
||||
f"{json_base}.json" if json_base else None,
|
||||
record_node,
|
||||
records,
|
||||
jp,
|
||||
cast_map.get(c),
|
||||
)
|
||||
src_expr = src_expr_map.get(c, jp)
|
||||
ods_src = resolve_ods_source_field(records, src_expr, cast_map.get(c))
|
||||
|
||||
purpose = _first_sentence(_infer_purpose(table, c, jp), 140)
|
||||
func = purpose
|
||||
if "用于" not in func:
|
||||
func = "用于" + func.rstrip("。")
|
||||
|
||||
if source_ods:
|
||||
ods_table_only = source_ods.split(".")[-1]
|
||||
ods_src_display = f"{ods_table_only} - {ods_src}"
|
||||
else:
|
||||
ods_src_display = f"无 - {ods_src}"
|
||||
|
||||
comment = (
|
||||
f"【说明】{purpose}。"
|
||||
f" 【示例】{ex}（{func}）。"
|
||||
f" 【ODS来源】{ods_src_display}。"
|
||||
f" 【JSON字段】{json_field}。"
|
||||
)
|
||||
comment_lines.append(
|
||||
f"COMMENT ON COLUMN billiards_dwd.{table}.{c} IS '{_escape_sql(comment)}';"
|
||||
)
|
||||
|
||||
out_parts.append(newline + newline + (newline.join(comment_lines)) + newline + newline)
|
||||
last = m.end()
|
||||
count_tables += 1
|
||||
|
||||
out_parts.append(clean[last:])
|
||||
result = "".join(out_parts)
|
||||
|
||||
# collapse extra blank lines
|
||||
result = re.sub(r"(?:\r?\n){4,}", newline * 3, result)
|
||||
|
||||
backup = SQL_PATH.with_suffix(SQL_PATH.suffix + ".bak")
|
||||
if not backup.exists():
|
||||
backup.write_text(raw, encoding="utf-8")
|
||||
|
||||
SQL_PATH.write_text(result, encoding="utf-8")
|
||||
|
||||
print(f"Rewrote comments for {count_tables} tables: {SQL_PATH}")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
560
tmp/rewrite_schema_ods_doc_comments.py
Normal file
560
tmp/rewrite_schema_ods_doc_comments.py
Normal file
@@ -0,0 +1,560 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
import json
|
||||
import re
|
||||
from pathlib import Path
|
||||
from collections import defaultdict
|
||||
|
||||
SQL_PATH = Path(r"C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\database\schema_ODS_doc.sql")
|
||||
DOC_DIR = Path(r"C:\dev\LLTQ\export\test-json-doc")
|
||||
|
||||
TABLE_CN = {
|
||||
"member_profiles": "会员档案/会员账户信息",
|
||||
"member_balance_changes": "会员余额变更流水",
|
||||
"member_stored_value_cards": "会员储值/卡券账户列表",
|
||||
"recharge_settlements": "充值结算记录",
|
||||
"settlement_records": "结账/结算记录",
|
||||
"assistant_cancellation_records": "助教作废/取消记录",
|
||||
"assistant_accounts_master": "助教档案主数据",
|
||||
"assistant_service_records": "助教服务流水",
|
||||
"site_tables_master": "门店桌台主数据",
|
||||
"table_fee_discount_records": "台费折扣记录",
|
||||
"table_fee_transactions": "台费流水",
|
||||
"goods_stock_movements": "商品库存变动流水",
|
||||
"stock_goods_category_tree": "商品分类树",
|
||||
"goods_stock_summary": "商品库存汇总",
|
||||
"payment_transactions": "支付流水",
|
||||
"refund_transactions": "退款流水",
|
||||
"platform_coupon_redemption_records": "平台券核销/使用记录",
|
||||
"tenant_goods_master": "租户商品主数据",
|
||||
"group_buy_packages": "团购套餐主数据",
|
||||
"group_buy_redemption_records": "团购核销记录",
|
||||
"settlement_ticket_details": "结算小票明细",
|
||||
"store_goods_master": "门店商品主数据",
|
||||
"store_goods_sales_records": "门店商品销售流水",
|
||||
}
|
||||
|
||||
COMMON_FIELD_PURPOSE = {
|
||||
"tenant_id": "租户/品牌 ID，用于商户维度过滤与关联。",
|
||||
"site_id": "门店 ID，用于门店维度过滤与关联。",
|
||||
"register_site_id": "会员注册门店 ID，用于归属门店维度关联。",
|
||||
"site_name": "门店名称快照，用于直接展示。",
|
||||
"id": "本表主键 ID，用于唯一标识一条记录。",
|
||||
"system_member_id": "系统级会员 ID（跨门店/跨卡种统一到‘人’的维度）。",
|
||||
"order_trade_no": "订单交易号，用于串联同一订单下的各类消费明细。",
|
||||
"order_settle_id": "订单结算/结账主键，用于关联结算记录与小票明细。",
|
||||
"order_pay_id": "关联支付流水的主键 ID，用于追溯支付明细。",
|
||||
"point": "积分余额，用于记录会员积分取值。",
|
||||
"growth_value": "成长值/成长积分，用于会员成长与等级评估。",
|
||||
"referrer_member_id": "推荐人会员 ID，用于记录会员推荐/拉新关系。",
|
||||
"create_time": "记录创建时间（业务侧产生时间）。",
|
||||
"status": "状态枚举，用于标识记录当前业务状态。",
|
||||
"user_status": "用户状态枚举，用于标识会员账户/用户可用状态。",
|
||||
"is_delete": "逻辑删除标记（0=否，1=是）。",
|
||||
"payload": "完整原始 JSON 记录快照，用于回溯与二次解析。",
|
||||
"source_file": "ETL 元数据：原始导出文件名，用于数据追溯。",
|
||||
"source_endpoint": "ETL 元数据：采集来源（接口/文件路径），用于数据追溯。",
|
||||
"fetched_at": "ETL 元数据：采集/入库时间戳，用于口径对齐与增量处理。",
|
||||
}
|
||||
|
||||
ETL_META_FIELDS = {"source_file", "source_endpoint", "fetched_at"}
|
||||
|
||||
|
||||
def _first_sentence(text: str, max_len: int = 120) -> str:
|
||||
s = re.sub(r"\s+", " ", (text or "").strip())
|
||||
if not s:
|
||||
return ""
|
||||
parts = re.split(r"[。；;]\s*", s)
|
||||
s = parts[0].strip() if parts else s
|
||||
if len(s) > max_len:
|
||||
s = s[: max_len - 1] + "…"
|
||||
return s
|
||||
|
||||
|
||||
def _escape_sql(s: str) -> str:
|
||||
return (s or "").replace("'", "''")
|
||||
|
||||
def normalize_key(s: str) -> str:
|
||||
return re.sub(r"[_\-\s]", "", (s or "").lower())
|
||||
|
||||
|
||||
def snake_to_lower_camel(s: str) -> str:
|
||||
parts = re.split(r"[_\-\s]+", s)
|
||||
if not parts:
|
||||
return s
|
||||
first = parts[0].lower()
|
||||
rest = "".join(p[:1].upper() + p[1:] for p in parts[1:] if p)
|
||||
return first + rest
|
||||
|
||||
|
||||
def snake_to_upper_camel(s: str) -> str:
|
||||
parts = re.split(r"[_\-\s]+", s)
|
||||
return "".join(p[:1].upper() + p[1:] for p in parts if p)
|
||||
|
||||
|
||||
def find_key_in_record(record: dict, token: str) -> str | None:
|
||||
if not isinstance(record, dict) or not token:
|
||||
return None
|
||||
if token in record:
|
||||
return token
|
||||
norm_to_key = {normalize_key(k): k for k in record.keys()}
|
||||
candidates = [
|
||||
token,
|
||||
token.lower(),
|
||||
token.upper(),
|
||||
snake_to_lower_camel(token),
|
||||
snake_to_upper_camel(token),
|
||||
]
|
||||
for c in candidates:
|
||||
nk = normalize_key(c)
|
||||
if nk in norm_to_key:
|
||||
return norm_to_key[nk]
|
||||
return None
|
||||
|
||||
|
||||
def _infer_purpose(_table: str, col: str) -> str:
|
||||
if col in COMMON_FIELD_PURPOSE:
|
||||
return COMMON_FIELD_PURPOSE[col]
|
||||
|
||||
lower = col.lower()
|
||||
if lower.endswith("_id"):
|
||||
return "标识类 ID 字段，用于关联/定位相关实体。"
|
||||
if lower.endswith("_time") or lower.endswith("time"):
|
||||
return "时间字段，用于记录业务时间点/发生时间。"
|
||||
if any(k in lower for k in ["amount", "money", "fee", "price", "deduct", "cost"]):
|
||||
return "金额字段，用于计费/结算/分摊等金额计算。"
|
||||
if any(k in lower for k in ["count", "num", "number", "seconds", "qty"]):
|
||||
return "数量/时长字段，用于统计与计量。"
|
||||
if lower.endswith("_name") or lower.endswith("name"):
|
||||
return "名称字段，用于展示与辅助识别。"
|
||||
if lower.endswith("_code") or lower.endswith("code"):
|
||||
return "编码/枚举字段，用于表示类型、等级或业务枚举。"
|
||||
if lower.startswith("is_") or lower.startswith("able_") or lower.startswith("can_"):
|
||||
return "布尔/开关字段，用于表示权限、可用性或状态开关。"
|
||||
|
||||
return "来自 JSON 导出的原始字段，用于保留业务取值。"
|
||||
|
||||
|
||||
def _format_example(value, max_len: int = 120) -> str:
|
||||
if value is None:
|
||||
return "NULL"
|
||||
if isinstance(value, bool):
|
||||
return "true" if value else "false"
|
||||
if isinstance(value, (int, float)):
|
||||
return str(value)
|
||||
if isinstance(value, str):
|
||||
s = value.strip()
|
||||
if len(s) > max_len:
|
||||
s = s[: max_len - 1] + "…"
|
||||
return s
|
||||
if isinstance(value, list):
|
||||
if not value:
|
||||
return "[]"
|
||||
sample = value[0]
|
||||
rendered = json.dumps(sample, ensure_ascii=False)
|
||||
if len(value) > 1:
|
||||
rendered = f"[{rendered}, …] (len={len(value)})"
|
||||
else:
|
||||
rendered = f"[{rendered}]"
|
||||
if len(rendered) > max_len:
|
||||
rendered = rendered[: max_len - 1] + "…"
|
||||
return rendered
|
||||
if isinstance(value, dict):
|
||||
keys = list(value)[:6]
|
||||
mini = {k: value.get(k) for k in keys}
|
||||
rendered = json.dumps(mini, ensure_ascii=False)
|
||||
if len(value) > len(keys):
|
||||
rendered = rendered[:-1] + ", …}"
|
||||
if len(rendered) > max_len:
|
||||
rendered = rendered[: max_len - 1] + "…"
|
||||
return rendered
|
||||
rendered = str(value)
|
||||
if len(rendered) > max_len:
|
||||
rendered = rendered[: max_len - 1] + "…"
|
||||
return rendered
|
||||
|
||||
|
||||
def _find_best_record_list(data, columns):
|
||||
cols = set(columns)
|
||||
best = None
|
||||
best_score = -1
|
||||
|
||||
queue = [(data, 0)]
|
||||
visited = 0
|
||||
while queue and visited < 20000:
|
||||
node, depth = queue.pop(0)
|
||||
visited += 1
|
||||
if depth > 8:
|
||||
continue
|
||||
if isinstance(node, list):
|
||||
if node and all(isinstance(x, dict) for x in node[:3]):
|
||||
scores = []
|
||||
for x in node[:5]:
|
||||
scores.append(len(set(x.keys()) & cols))
|
||||
score = sum(scores) / max(1, len(scores))
|
||||
if score > best_score:
|
||||
best_score = score
|
||||
best = node
|
||||
for x in node[:10]:
|
||||
queue.append((x, depth + 1))
|
||||
else:
|
||||
for x in node[:50]:
|
||||
queue.append((x, depth + 1))
|
||||
elif isinstance(node, dict):
|
||||
for v in list(node.values())[:80]:
|
||||
queue.append((v, depth + 1))
|
||||
|
||||
return best
|
||||
|
||||
|
||||
def _find_best_record_list_and_node(data, columns):
|
||||
cols = set(columns)
|
||||
best = None
|
||||
best_score = -1
|
||||
best_path = []
|
||||
|
||||
queue = [(data, 0, [])]
|
||||
visited = 0
|
||||
while queue and visited < 25000:
|
||||
node, depth, path = queue.pop(0)
|
||||
visited += 1
|
||||
if depth > 10:
|
||||
continue
|
||||
|
||||
if isinstance(node, list):
|
||||
if node and all(isinstance(x, dict) for x in node[:3]):
|
||||
scores = []
|
||||
for x in node[:5]:
|
||||
scores.append(len(set(x.keys()) & cols))
|
||||
score = sum(scores) / max(1, len(scores))
|
||||
if score > best_score:
|
||||
best_score = score
|
||||
best = node
|
||||
best_path = path
|
||||
for x in node[:10]:
|
||||
queue.append((x, depth + 1, path))
|
||||
else:
|
||||
for x in node[:80]:
|
||||
queue.append((x, depth + 1, path))
|
||||
elif isinstance(node, dict):
|
||||
for k, v in list(node.items())[:120]:
|
||||
queue.append((v, depth + 1, path + [str(k)]))
|
||||
|
||||
node_str = ".".join(best_path) if best_path else "$"
|
||||
return best or [], node_str
|
||||
|
||||
|
||||
def _choose_examples(records, columns):
|
||||
examples = {}
|
||||
if not records:
|
||||
return examples
|
||||
for col in columns:
|
||||
val = None
|
||||
for r in records[:120]:
|
||||
if isinstance(r, dict) and col in r and r[col] not in (None, ""):
|
||||
val = r[col]
|
||||
break
|
||||
examples[col] = val
|
||||
return examples
|
||||
|
||||
|
||||
def _extract_header_fields(line: str, columns_set):
|
||||
s = line.strip()
|
||||
if not s:
|
||||
return []
|
||||
|
||||
# 支持 1. id / 1.1 siteProfile / 8. tenant_id
|
||||
m = re.match(r"^\d+(?:\.\d+)*[\.)]?\s+(.+)$", s)
|
||||
if m:
|
||||
s = m.group(1).strip()
|
||||
|
||||
parts = re.split(r"\s*[/、,，]\s*", s)
|
||||
fields = [p.strip() for p in parts if p.strip() in columns_set]
|
||||
|
||||
if not fields and s in columns_set:
|
||||
fields = [s]
|
||||
|
||||
if fields and len(line) <= 120:
|
||||
return fields
|
||||
return []
|
||||
|
||||
|
||||
def _parse_field_purpose_from_block(block_lines):
|
||||
lines = [l.rstrip() for l in block_lines]
|
||||
|
||||
def pick_after_label(labels):
|
||||
for i, l in enumerate(lines):
|
||||
for lab in labels:
|
||||
if lab in l:
|
||||
after = l.split(lab, 1)[1].strip()
|
||||
if after:
|
||||
return after
|
||||
buf = []
|
||||
j = i + 1
|
||||
while j < len(lines) and not lines[j].strip():
|
||||
j += 1
|
||||
for k in range(j, len(lines)):
|
||||
if not lines[k].strip():
|
||||
break
|
||||
if re.match(r"^[\w\u4e00-\u9fff]+[:：]", lines[k].strip()):
|
||||
break
|
||||
buf.append(lines[k].strip())
|
||||
if buf:
|
||||
return " ".join(buf)
|
||||
return ""
|
||||
|
||||
# 兼容「含义（结合其它文件）：」「含义（推测）：」等变体
|
||||
picked = pick_after_label(["含义：", "含义:"])
|
||||
if not picked:
|
||||
for i, l in enumerate(lines):
|
||||
s = l.strip()
|
||||
m = re.match(r"^含义.*[:：]\s*(.*)$", s)
|
||||
if m:
|
||||
after = m.group(1).strip()
|
||||
if after:
|
||||
picked = after
|
||||
else:
|
||||
buf = []
|
||||
j = i + 1
|
||||
while j < len(lines) and not lines[j].strip():
|
||||
j += 1
|
||||
for k in range(j, len(lines)):
|
||||
if not lines[k].strip():
|
||||
break
|
||||
if re.match(r"^[\w\u4e00-\u9fff]+[:：]", lines[k].strip()):
|
||||
break
|
||||
buf.append(lines[k].strip())
|
||||
if buf:
|
||||
picked = " ".join(buf)
|
||||
break
|
||||
|
||||
if not picked:
|
||||
picked = pick_after_label(["作用：", "作用:"])
|
||||
if not picked:
|
||||
for i, l in enumerate(lines):
|
||||
s = l.strip()
|
||||
m = re.match(r"^作用.*[:：]\s*(.*)$", s)
|
||||
if m:
|
||||
after = m.group(1).strip()
|
||||
if after:
|
||||
picked = after
|
||||
break
|
||||
|
||||
if not picked:
|
||||
# 兜底：尽量避开“类型：/唯一值个数：”这类描述
|
||||
for l in lines:
|
||||
s = l.strip()
|
||||
if not s:
|
||||
continue
|
||||
if any(
|
||||
s.startswith(prefix)
|
||||
for prefix in [
|
||||
"类型：",
|
||||
"非空：",
|
||||
"唯一值",
|
||||
"观测",
|
||||
"特征",
|
||||
"统计",
|
||||
"分布",
|
||||
"说明：",
|
||||
"关联：",
|
||||
"结构关系",
|
||||
"和其它表",
|
||||
"重复记录",
|
||||
"全部为",
|
||||
]
|
||||
):
|
||||
continue
|
||||
picked = s
|
||||
break
|
||||
|
||||
return _first_sentence(picked, 160)
|
||||
|
||||
|
||||
def _is_poor_purpose(purpose: str) -> bool:
|
||||
s = (purpose or "").strip()
|
||||
if not s:
|
||||
return True
|
||||
if s.endswith("：") or s.endswith(":"):
|
||||
return True
|
||||
if s.startswith("全部为"):
|
||||
return True
|
||||
if s.startswith("含义") and ("：" in s or ":" in s) and len(s) <= 12:
|
||||
return True
|
||||
return False
|
||||
|
||||
|
||||
def parse_analysis(analysis_text: str, columns):
|
||||
columns_set = set(columns)
|
||||
blocks = defaultdict(list)
|
||||
|
||||
current_fields = []
|
||||
buf = []
|
||||
|
||||
for raw in analysis_text.splitlines():
|
||||
fields = _extract_header_fields(raw, columns_set)
|
||||
if fields:
|
||||
if current_fields and buf:
|
||||
for f in current_fields:
|
||||
blocks[f].extend(buf)
|
||||
current_fields = fields
|
||||
buf = []
|
||||
else:
|
||||
if current_fields:
|
||||
buf.append(raw)
|
||||
|
||||
if current_fields and buf:
|
||||
for f in current_fields:
|
||||
blocks[f].extend(buf)
|
||||
|
||||
purposes = {}
|
||||
for col in columns:
|
||||
if col in blocks and blocks[col]:
|
||||
p = _parse_field_purpose_from_block(blocks[col])
|
||||
if p:
|
||||
purposes[col] = p
|
||||
return purposes
|
||||
|
||||
|
||||
def parse_columns_from_ddl(create_sql: str):
|
||||
start = create_sql.find("(")
|
||||
end = create_sql.rfind(")")
|
||||
body = create_sql[start + 1 : end]
|
||||
|
||||
cols = []
|
||||
for line in body.splitlines():
|
||||
s = line.strip().rstrip(",")
|
||||
if not s:
|
||||
continue
|
||||
if s.startswith(")"):
|
||||
continue
|
||||
if s.upper().startswith("CONSTRAINT "):
|
||||
continue
|
||||
m = re.match(r"^([A-Za-z_][A-Za-z0-9_]*)\s+", s)
|
||||
if not m:
|
||||
continue
|
||||
name = m.group(1)
|
||||
if name.upper() in {"PRIMARY", "UNIQUE", "FOREIGN", "CHECK"}:
|
||||
continue
|
||||
cols.append(name)
|
||||
return cols
|
||||
|
||||
|
||||
def build_comment_block(table: str, columns, analysis_text: str, records):
|
||||
# records_node: 由外部确定，避免这里重复遍历 JSON
|
||||
records, records_node = records
|
||||
purposes = parse_analysis(analysis_text, columns)
|
||||
examples = _choose_examples(records, columns)
|
||||
|
||||
table_cn = TABLE_CN.get(table, table)
|
||||
|
||||
table_comment = (
|
||||
f"ODS 原始明细表：{table_cn}。"
|
||||
f"来源：C:/dev/LLTQ/export/test-json-doc/{table}.json；分析：{table}-Analysis.md。"
|
||||
f"字段以导出原样为主；ETL 补充 source_file/source_endpoint/fetched_at，并保留 payload 为原始记录快照。"
|
||||
)
|
||||
|
||||
lines = []
|
||||
lines.append(f"COMMENT ON TABLE billiards_ods.{table} IS '{_escape_sql(table_comment)}';")
|
||||
|
||||
for col in columns:
|
||||
json_file = f"{table}.json"
|
||||
if col in ETL_META_FIELDS:
|
||||
json_field = f"{json_file} - ETL元数据 - 无"
|
||||
elif col == "payload":
|
||||
json_field = f"{json_file} - {records_node} - $"
|
||||
else:
|
||||
actual = None
|
||||
for r in records[:50]:
|
||||
if isinstance(r, dict):
|
||||
actual = find_key_in_record(r, col)
|
||||
if actual:
|
||||
break
|
||||
field_name = actual or col
|
||||
json_field = f"{json_file} - {records_node} - {field_name}"
|
||||
|
||||
purpose = purposes.get(col) or _infer_purpose(table, col)
|
||||
purpose = _first_sentence(purpose, 140) or _infer_purpose(table, col)
|
||||
if _is_poor_purpose(purpose):
|
||||
purpose = COMMON_FIELD_PURPOSE.get(col) or _infer_purpose(table, col)
|
||||
|
||||
if col in ETL_META_FIELDS:
|
||||
if col == "source_file":
|
||||
ex = f"{table}.json"
|
||||
elif col == "source_endpoint":
|
||||
ex = f"C:/dev/LLTQ/export/test-json-doc/{table}.json"
|
||||
else:
|
||||
ex = "2025-11-10T00:00:00+08:00"
|
||||
elif col == "payload":
|
||||
ex = "{...}"
|
||||
else:
|
||||
ex = _format_example(examples.get(col))
|
||||
|
||||
func = purpose
|
||||
if "用于" not in func:
|
||||
func = "用于" + func.rstrip("。")
|
||||
|
||||
# ODS来源：表名-字段名（ODS自身字段）；ETL补充字段标记
|
||||
if col in ETL_META_FIELDS:
|
||||
ods_src = f"{table} - {col}（ETL补充）"
|
||||
else:
|
||||
ods_src = f"{table} - {col}"
|
||||
|
||||
comment = (
|
||||
f"【说明】{purpose}。"
|
||||
f" 【示例】{ex}（{func}）。"
|
||||
f" 【ODS来源】{ods_src}。"
|
||||
f" 【JSON字段】{json_field}。"
|
||||
)
|
||||
lines.append(
|
||||
f"COMMENT ON COLUMN billiards_ods.{table}.{col} IS '{_escape_sql(comment)}';"
|
||||
)
|
||||
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
text = SQL_PATH.read_text(encoding="utf-8")
|
||||
newline = "\r\n" if "\r\n" in text else "\n"
|
||||
|
||||
kept = []
|
||||
for raw_line in text.splitlines(True):
|
||||
stripped = raw_line.lstrip()
|
||||
if stripped.startswith("--"):
|
||||
continue
|
||||
if re.match(r"^\s*COMMENT ON\s+(TABLE|COLUMN)\s+", raw_line):
|
||||
continue
|
||||
kept.append(raw_line)
|
||||
|
||||
clean = "".join(kept)
|
||||
|
||||
create_re = re.compile(
|
||||
r"(CREATE TABLE IF NOT EXISTS\s+billiards_ods\.(?P<table>[A-Za-z0-9_]+)\s*\([\s\S]*?\)\s*;)" ,
|
||||
re.M,
|
||||
)
|
||||
|
||||
out_parts = []
|
||||
last = 0
|
||||
count = 0
|
||||
for m in create_re.finditer(clean):
|
||||
out_parts.append(clean[last : m.end()])
|
||||
table = m.group("table")
|
||||
create_sql = m.group(1)
|
||||
|
||||
cols = parse_columns_from_ddl(create_sql)
|
||||
analysis_text = (DOC_DIR / f"{table}-Analysis.md").read_text(encoding="utf-8")
|
||||
data = json.loads((DOC_DIR / f"{table}.json").read_text(encoding="utf-8"))
|
||||
record_list, record_node = _find_best_record_list_and_node(data, cols)
|
||||
|
||||
out_parts.append(newline + newline + build_comment_block(table, cols, analysis_text, (record_list, record_node)) + newline + newline)
|
||||
last = m.end()
|
||||
count += 1
|
||||
|
||||
out_parts.append(clean[last:])
|
||||
|
||||
result = "".join(out_parts)
|
||||
result = re.sub(r"(?:\r?\n){4,}", newline * 3, result)
|
||||
|
||||
backup = SQL_PATH.with_suffix(SQL_PATH.suffix + ".rewrite2.bak")
|
||||
backup.write_text(text, encoding="utf-8")
|
||||
SQL_PATH.write_text(result, encoding="utf-8")
|
||||
|
||||
print(f"Rewrote comments for {count} tables. Backup: {backup}")
|
||||
1886
tmp/schema_ODS_doc copy.sql
Normal file
1886
tmp/schema_ODS_doc copy.sql
Normal file
File diff suppressed because it is too large
Load Diff
1907
tmp/schema_ODS_doc.sql
Normal file
1907
tmp/schema_ODS_doc.sql
Normal file
File diff suppressed because it is too large
Load Diff
1878
tmp/schema_dwd_doc.sql
Normal file
1878
tmp/schema_dwd_doc.sql
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user