统一scheme_name命名规则

2026-02-05 10:47:38 +08:00
parent 4c208abe55
commit 2794114000
9 changed files with 215 additions and 126 deletions
--- a/app/infra/db/influxdb/api.py
+++ b/app/infra/db/influxdb/api.py
@@ -405,7 +405,7 @@ def create_and_initialize_buckets(org_name: str) -> None:
                .tag("date", None)
                .tag("ID", None)
                .tag("scheme_Type", None)
-                .tag("scheme_Name", None)
+                .tag("scheme_name", None)
                .field("flow", 0.0)
                .field("leakage", 0.0)
                .field("velocity", 0.0)
@@ -421,7 +421,7 @@ def create_and_initialize_buckets(org_name: str) -> None:
                .tag("date", None)
                .tag("ID", None)
                .tag("scheme_Type", None)
-                .tag("scheme_Name", None)
+                .tag("scheme_name", None)
                .field("head", 0.0)
                .field("pressure", 0.0)
                .field("actualdemand", 0.0)
@@ -437,7 +437,7 @@ def create_and_initialize_buckets(org_name: str) -> None:
                .tag("description", None)
                .tag("device_ID", None)
                .tag("scheme_Type", None)
-                .tag("scheme_Name", None)
+                .tag("scheme_name", None)
                .field("monitored_value", 0.0)
                .field("datacleaning_value", 0.0)
                .field("scheme_simulation_value", 0.0)
@@ -1812,7 +1812,7 @@ def query_scheme_SCADA_data_by_device_ID_and_time(
    query_ids_list: List[str],
    query_time: str,
    scheme_Type: str,
-    scheme_Name: str,
+    scheme_name: str,
    bucket: str = "scheme_simulation_result",
 ) -> Dict[str, float]:
    """
@@ -1843,7 +1843,7 @@ def query_scheme_SCADA_data_by_device_ID_and_time(
        flux_query = f"""
           from(bucket: "{bucket}")
             |> range(start: {utc_start_time.isoformat()}, stop: {utc_stop_time.isoformat()})
-             |> filter(fn: (r) => r["device_ID"] == "{device_id}" and r["_field"] == "monitored_value" and r["scheme_Type"] == "{scheme_Type}" and r["scheme_Name"] == "{scheme_Name}")
+             |> filter(fn: (r) => r["device_ID"] == "{device_id}" and r["_field"] == "monitored_value" and r["scheme_Type"] == "{scheme_Type}" and r["scheme_name"] == "{scheme_name}")
           """
        # 执行查询
        try:
@@ -2585,7 +2585,7 @@ def query_all_scheme_record_by_time_property(
    flux_query = f"""
    from(bucket: "{bucket}")
      |> range(start: {utc_start_time.isoformat()}, stop: {utc_stop_time.isoformat()})
-      |> filter(fn: (r) => r["scheme_Name"] == "{scheme_name}" and r["_measurement"] == "{measurement}" and r["_field"] == "{property}")
+      |> filter(fn: (r) => r["scheme_name"] == "{scheme_name}" and r["_measurement"] == "{measurement}" and r["_field"] == "{property}")
    """
    # 执行查询
    tables = query_api.query(flux_query)
@@ -2635,7 +2635,7 @@ def query_scheme_simulation_result_by_ID_time(
        flux_query = f"""
        from(bucket: "{bucket}")
          |> range(start: {utc_start_time.isoformat()}, stop: {utc_stop_time.isoformat()})
-          |> filter(fn: (r) => r["scheme_Name"] == "{scheme_name}" and r["_measurement"] == "node" and r["ID"] == "{ID}")
+          |> filter(fn: (r) => r["scheme_name"] == "{scheme_name}" and r["_measurement"] == "node" and r["ID"] == "{ID}")
          |> pivot(
              rowKey:["_time"], 
              columnKey:["_field"], 
@@ -2660,7 +2660,7 @@ def query_scheme_simulation_result_by_ID_time(
        flux_query = f"""
        from(bucket: "{bucket}")
          |> range(start: {utc_start_time.isoformat()}, stop: {utc_stop_time.isoformat()})
-          |> filter(fn: (r) => r["scheme_Name"] == "{scheme_name}" and r["_measurement"] == "link" and r["ID"] == "{ID}")
+          |> filter(fn: (r) => r["scheme_name"] == "{scheme_name}" and r["_measurement"] == "link" and r["ID"] == "{ID}")
          |> pivot(
              rowKey:["_time"], 
              columnKey:["_field"], 
@@ -3228,7 +3228,7 @@ def store_scheme_simulation_result_to_influxdb(
    scheme_start_time: str,
    num_periods: int = 1,
    scheme_Type: str = None,
-    scheme_Name: str = None,
+    scheme_name: str = None,
    bucket: str = "scheme_simulation_result",
 ):
    """
@@ -3238,7 +3238,7 @@ def store_scheme_simulation_result_to_influxdb(
    :param scheme_start_time: (str): 方案模拟开始时间。
    :param num_periods: (int): 方案模拟的周期数
    :param scheme_Type: (str): 方案类型
-    :param scheme_Name: (str): 方案名称
+    :param scheme_name: (str): 方案名称
    :param bucket: (str): InfluxDB 的 bucket 名称，默认值为 "scheme_simulation_result"。
    :return:
    """
@@ -3299,7 +3299,7 @@ def store_scheme_simulation_result_to_influxdb(
                        .tag("date", date_str)
                        .tag("ID", node_id)
                        .tag("scheme_Type", scheme_Type)
-                        .tag("scheme_Name", scheme_Name)
+                        .tag("scheme_name", scheme_name)
                        .field("head", data.get("head", 0.0))
                        .field("pressure", data.get("pressure", 0.0))
                        .field("actualdemand", data.get("demand", 0.0))
@@ -3323,7 +3323,7 @@ def store_scheme_simulation_result_to_influxdb(
                        .tag("date", date_str)
                        .tag("ID", link_id)
                        .tag("scheme_Type", scheme_Type)
-                        .tag("scheme_Name", scheme_Name)
+                        .tag("scheme_name", scheme_name)
                        .field("flow", data.get("flow", 0.0))
                        .field("velocity", data.get("velocity", 0.0))
                        .field("headloss", data.get("headloss", 0.0))
@@ -3410,13 +3410,13 @@ def query_corresponding_query_id_and_element_id(name: str) -> None:
 # 2025/03/11
 def fill_scheme_simulation_result_to_SCADA(
    scheme_Type: str = None,
-    scheme_Name: str = None,
+    scheme_name: str = None,
    query_date: str = None,
    bucket: str = "scheme_simulation_result",
 ):
    """
    :param scheme_Type: 方案类型
-    :param scheme_Name: 方案名称
+    :param scheme_name: 方案名称
    :param query_date: 查询日期，格式为 'YYYY-MM-DD'
    :param bucket: InfluxDB 的 bucket 名称，默认值为 "scheme_simulation_result"
    :return:
@@ -3458,7 +3458,7 @@ def fill_scheme_simulation_result_to_SCADA(
    for key, value in globals.scheme_source_outflow_ids.items():
        scheme_source_outflow_result = query_scheme_curve_by_ID_property(
            scheme_Type=scheme_Type,
-            scheme_Name=scheme_Name,
+            scheme_name=scheme_name,
            query_date=query_date,
            ID=value,
            type="link",
@@ -3471,7 +3471,7 @@ def fill_scheme_simulation_result_to_SCADA(
                .tag("date", query_date)
                .tag("device_ID", key)
                .tag("scheme_Type", scheme_Type)
-                .tag("scheme_Name", scheme_Name)
+                .tag("scheme_name", scheme_name)
                .field("monitored_value", data["value"])
                .time(data["time"], write_precision="s")
            )
@@ -3481,7 +3481,7 @@ def fill_scheme_simulation_result_to_SCADA(
    for key, value in globals.scheme_pipe_flow_ids.items():
        scheme_pipe_flow_result = query_scheme_curve_by_ID_property(
            scheme_Type=scheme_Type,
-            scheme_Name=scheme_Name,
+            scheme_name=scheme_name,
            query_date=query_date,
            ID=value,
            type="link",
@@ -3493,7 +3493,7 @@ def fill_scheme_simulation_result_to_SCADA(
                .tag("date", query_date)
                .tag("device_ID", key)
                .tag("scheme_Type", scheme_Type)
-                .tag("scheme_Name", scheme_Name)
+                .tag("scheme_name", scheme_name)
                .field("monitored_value", data["value"])
                .time(data["time"], write_precision="s")
            )
@@ -3503,7 +3503,7 @@ def fill_scheme_simulation_result_to_SCADA(
    for key, value in globals.scheme_pressure_ids.items():
        scheme_pressure_result = query_scheme_curve_by_ID_property(
            scheme_Type=scheme_Type,
-            scheme_Name=scheme_Name,
+            scheme_name=scheme_name,
            query_date=query_date,
            ID=value,
            type="node",
@@ -3515,7 +3515,7 @@ def fill_scheme_simulation_result_to_SCADA(
                .tag("date", query_date)
                .tag("device_ID", key)
                .tag("scheme_Type", scheme_Type)
-                .tag("scheme_Name", scheme_Name)
+                .tag("scheme_name", scheme_name)
                .field("monitored_value", data["value"])
                .time(data["time"], write_precision="s")
            )
@@ -3525,7 +3525,7 @@ def fill_scheme_simulation_result_to_SCADA(
    for key, value in globals.scheme_demand_ids.items():
        scheme_demand_result = query_scheme_curve_by_ID_property(
            scheme_Type=scheme_Type,
-            scheme_Name=scheme_Name,
+            scheme_name=scheme_name,
            query_date=query_date,
            ID=value,
            type="node",
@@ -3537,7 +3537,7 @@ def fill_scheme_simulation_result_to_SCADA(
                .tag("date", query_date)
                .tag("device_ID", key)
                .tag("scheme_Type", scheme_Type)
-                .tag("scheme_Name", scheme_Name)
+                .tag("scheme_name", scheme_name)
                .field("monitored_value", data["value"])
                .time(data["time"], write_precision="s")
            )
@@ -3547,7 +3547,7 @@ def fill_scheme_simulation_result_to_SCADA(
    for key, value in globals.scheme_quality_ids.items():
        scheme_quality_result = query_scheme_curve_by_ID_property(
            scheme_Type=scheme_Type,
-            scheme_Name=scheme_Name,
+            scheme_name=scheme_name,
            query_date=query_date,
            ID=value,
            type="node",
@@ -3559,7 +3559,7 @@ def fill_scheme_simulation_result_to_SCADA(
                .tag("date", query_date)
                .tag("device_ID", key)
                .tag("scheme_Type", scheme_Type)
-                .tag("scheme_Name", scheme_Name)
+                .tag("scheme_name", scheme_name)
                .field("monitored_value", data["value"])
                .time(data["time"], write_precision="s")
            )
@@ -3630,14 +3630,14 @@ def query_SCADA_data_curve(
 # 2025/02/18
 def query_scheme_all_record_by_time(
    scheme_Type: str,
-    scheme_Name: str,
+    scheme_name: str,
    query_time: str,
    bucket: str = "scheme_simulation_result",
 ) -> tuple:
    """
    查询指定方案某一时刻的所有记录，包括‘node'和‘link’，分别以指定格式返回。
    :param scheme_Type: 方案类型
-    :param scheme_Name: 方案名称
+    :param scheme_name: 方案名称
    :param query_time: 输入的北京时间，格式为 '2024-11-24T17:30:00+08:00'。
    :param bucket: 数据存储的 bucket 名称。
    :return: dict: tuple: (node_records, link_records)
@@ -3660,7 +3660,7 @@ def query_scheme_all_record_by_time(
    flux_query = f"""
    from(bucket: "{bucket}")
      |> range(start: {utc_start_time.isoformat()}, stop: {utc_stop_time.isoformat()})
-      |> filter(fn: (r) => r["scheme_Type"] == "{scheme_Type}" and r["scheme_Name"] == "{scheme_Name}" and r["_measurement"] == "node" or r["_measurement"] == "link")
+      |> filter(fn: (r) => r["scheme_Type"] == "{scheme_Type}" and r["scheme_name"] == "{scheme_name}" and r["_measurement"] == "node" or r["_measurement"] == "link")
      |> pivot(
          rowKey:["_time"], 
          columnKey:["_field"], 
@@ -3711,7 +3711,7 @@ def query_scheme_all_record_by_time(
 # 2025/03/04
 def query_scheme_all_record_by_time_property(
    scheme_Type: str,
-    scheme_Name: str,
+    scheme_name: str,
    query_time: str,
    type: str,
    property: str,
@@ -3720,7 +3720,7 @@ def query_scheme_all_record_by_time_property(
    """
    查询指定方案某一时刻‘node'或‘link’某一属性值，以指定格式返回。
    :param scheme_Type: 方案类型
-    :param scheme_Name: 方案名称
+    :param scheme_name: 方案名称
    :param query_time: 输入的北京时间，格式为 '2024-11-24T17:30:00+08:00'。
    :param type: 查询的类型（决定 measurement）
    :param property: 查询的字段名称（field）
@@ -3752,7 +3752,7 @@ def query_scheme_all_record_by_time_property(
    flux_query = f"""
    from(bucket: "{bucket}")
      |> range(start: {utc_start_time.isoformat()}, stop: {utc_stop_time.isoformat()})
-      |> filter(fn: (r) => r["scheme_Type"] == "{scheme_Type}" and r["scheme_Name"] == "{scheme_Name}" and r["_measurement"] == "{measurement}" and r["_field"] == "{property}")      
+      |> filter(fn: (r) => r["scheme_Type"] == "{scheme_Type}" and r["scheme_name"] == "{scheme_name}" and r["_measurement"] == "{measurement}" and r["_field"] == "{property}")      
    """
    # 执行查询
    tables = query_api.query(flux_query)
@@ -3768,7 +3768,7 @@ def query_scheme_all_record_by_time_property(
 # 2025/02/19
 def query_scheme_curve_by_ID_property(
    scheme_Type: str,
-    scheme_Name: str,
+    scheme_name: str,
    query_date: str,
    ID: str,
    type: str,
@@ -3776,9 +3776,9 @@ def query_scheme_curve_by_ID_property(
    bucket: str = "scheme_simulation_result",
 ) -> list:
    """
-    根据scheme_Type和scheme_Name,查询该模拟方案中，某一node或link的某一属性值的所有时间的结果
+    根据scheme_Type和scheme_name,查询该模拟方案中，某一node或link的某一属性值的所有时间的结果
    :param scheme_Type: 方案类型
-    :param scheme_Name: 方案名称
+    :param scheme_name: 方案名称
    :param query_date: 查询日期，格式为 'YYYY-MM-DD'
    :param ID: 元素的ID
    :param type: 元素的类型，node或link
@@ -3817,7 +3817,7 @@ def query_scheme_curve_by_ID_property(
    flux_query = f"""
    from(bucket: "{bucket}")
      |> range(start: {start_time}, stop: {stop_time})
-      |> filter(fn: (r) => r["_measurement"] == "{measurement}" and r["scheme_Type"] == "{scheme_Type}" and r["scheme_Name"] == "{scheme_Name}" and r["ID"] == "{ID}" and r["_field"] == "{property}")
+      |> filter(fn: (r) => r["_measurement"] == "{measurement}" and r["scheme_Type"] == "{scheme_Type}" and r["scheme_name"] == "{scheme_name}" and r["ID"] == "{ID}" and r["_field"] == "{property}")
    """
    # 执行查询
    tables = query_api.query(flux_query)
@@ -3833,14 +3833,14 @@ def query_scheme_curve_by_ID_property(
 # 2025/02/21
 def query_scheme_all_record(
    scheme_Type: str,
-    scheme_Name: str,
+    scheme_name: str,
    query_date: str,
    bucket: str = "scheme_simulation_result",
 ) -> tuple:
    """
    查询指定方案的所有记录，包括‘node'和‘link’，分别以指定格式返回。
    :param scheme_Type: 方案类型
-    :param scheme_Name: 方案名称
+    :param scheme_name: 方案名称
    :param query_date: 查询日期，格式为 'YYYY-MM-DD'
    :param bucket: 数据存储的 bucket 名称。
    :return: dict: tuple: (node_records, link_records)
@@ -3867,7 +3867,7 @@ def query_scheme_all_record(
    flux_query = f"""
    from(bucket: "{bucket}")
      |> range(start: {utc_start_time.isoformat()}, stop: {utc_stop_time.isoformat()})
-      |> filter(fn: (r) => r["scheme_Type"] == "{scheme_Type}" and r["scheme_Name"] == "{scheme_Name}" and r["_measurement"] == "node" or r["_measurement"] == "link")
+      |> filter(fn: (r) => r["scheme_Type"] == "{scheme_Type}" and r["scheme_name"] == "{scheme_name}" and r["_measurement"] == "node" or r["_measurement"] == "link")
      |> pivot(
          rowKey:["_time"], 
          columnKey:["_field"], 
@@ -3918,7 +3918,7 @@ def query_scheme_all_record(
 # 2025/03/04
 def query_scheme_all_record_property(
    scheme_Type: str,
-    scheme_Name: str,
+    scheme_name: str,
    query_date: str,
    type: str,
    property: str,
@@ -3927,7 +3927,7 @@ def query_scheme_all_record_property(
    """
    查询指定方案的‘node'或‘link’的某一属性值，以指定格式返回。
    :param scheme_Type: 方案类型
-    :param scheme_Name: 方案名称
+    :param scheme_name: 方案名称
    :param query_date: 查询日期，格式为 'YYYY-MM-DD'
    :param type: 查询的类型（决定 measurement）
    :param property: 查询的字段名称（field）
@@ -3964,7 +3964,7 @@ def query_scheme_all_record_property(
    flux_query = f"""
    from(bucket: "{bucket}")
      |> range(start: {start_time}, stop: {stop_time})
-      |> filter(fn: (r) => r["scheme_Type"] == "{scheme_Type}" and r["scheme_Name"] == "{scheme_Name}" and r["date"] == "{query_date}" and r["_measurement"] == "{measurement}" and r["_field"] == "{property}")        
+      |> filter(fn: (r) => r["scheme_Type"] == "{scheme_Type}" and r["scheme_name"] == "{scheme_name}" and r["date"] == "{query_date}" and r["_measurement"] == "{measurement}" and r["_field"] == "{property}")        
    """
    # 执行查询
    tables = query_api.query(flux_query)
@@ -4246,7 +4246,7 @@ def export_scheme_simulation_result_to_csv_time(
            link_data[key]["measurement"] = record.get_measurement()
            link_data[key]["date"] = record.values.get("date", None)
            link_data[key]["scheme_Type"] = record.values.get("scheme_Type", None)
-            link_data[key]["scheme_Name"] = record.values.get("scheme_Name", None)
+            link_data[key]["scheme_name"] = record.values.get("scheme_name", None)
    # 构建 Flux 查询语句，查询指定时间范围内的数据
    flux_query_node = f"""
    from(bucket: "{bucket}")
@@ -4268,7 +4268,7 @@ def export_scheme_simulation_result_to_csv_time(
            node_data[key]["measurement"] = record.get_measurement()
            node_data[key]["date"] = record.values.get("date", None)
            node_data[key]["scheme_Type"] = record.values.get("scheme_Type", None)
-            node_data[key]["scheme_Name"] = record.values.get("scheme_Name", None)
+            node_data[key]["scheme_name"] = record.values.get("scheme_name", None)
    for key in set(link_data.keys()):
        row = {"time": key[0], "ID": key[1]}
        row.update(link_data.get(key, {}))
@@ -4289,7 +4289,7 @@ def export_scheme_simulation_result_to_csv_time(
                "measurement",
                "date",
                "scheme_Type",
-                "scheme_Name",
+                "scheme_name",
                "ID",
                "flow",
                "leakage",
@@ -4312,7 +4312,7 @@ def export_scheme_simulation_result_to_csv_time(
                "measurement",
                "date",
                "scheme_Type",
-                "scheme_Name",
+                "scheme_name",
                "ID",
                "head",
                "pressure",
@@ -4331,14 +4331,14 @@ def export_scheme_simulation_result_to_csv_time(
 # 2025/02/18
 def export_scheme_simulation_result_to_csv_scheme(
    scheme_Type: str,
-    scheme_Name: str,
+    scheme_name: str,
    query_date: str,
    bucket: str = "scheme_simulation_result",
 ) -> None:
    """
    导出influxdb中scheme_simulation_result这个bucket的数据到csv中
    :param scheme_Type: 查询的方案类型
-    :param scheme_Name: 查询的方案名
+    :param scheme_name: 查询的方案名
    :param query_date: 查询日期，格式为 'YYYY-MM-DD'
    :param bucket: 数据存储的 bucket 名称，默认值为 "SCADA_data"
    :return:
@@ -4366,7 +4366,7 @@ def export_scheme_simulation_result_to_csv_scheme(
    flux_query_link = f"""
    from(bucket: "{bucket}")
      |> range(start: {start_time}, stop: {stop_time})
-      |> filter(fn: (r) => r["_measurement"] == "link" and r["scheme_Type"] == "{scheme_Type}" and r["scheme_Name"] == "{scheme_Name}")
+      |> filter(fn: (r) => r["_measurement"] == "link" and r["scheme_Type"] == "{scheme_Type}" and r["scheme_name"] == "{scheme_name}")
    """
    # 执行查询
    link_tables = query_api.query(flux_query_link)
@@ -4383,12 +4383,12 @@ def export_scheme_simulation_result_to_csv_scheme(
            link_data[key]["measurement"] = record.get_measurement()
            link_data[key]["date"] = record.values.get("date", None)
            link_data[key]["scheme_Type"] = record.values.get("scheme_Type", None)
-            link_data[key]["scheme_Name"] = record.values.get("scheme_Name", None)
+            link_data[key]["scheme_name"] = record.values.get("scheme_name", None)
    # 构建 Flux 查询语句，查询指定时间范围内的数据
    flux_query_node = f"""
    from(bucket: "{bucket}")
      |> range(start: {start_time}, stop: {stop_time})
-      |> filter(fn: (r) => r["_measurement"] == "node" and r["scheme_Type"] == "{scheme_Type}" and r["scheme_Name"] == "{scheme_Name}")
+      |> filter(fn: (r) => r["_measurement"] == "node" and r["scheme_Type"] == "{scheme_Type}" and r["scheme_name"] == "{scheme_name}")
    """
    # 执行查询
    node_tables = query_api.query(flux_query_node)
@@ -4405,7 +4405,7 @@ def export_scheme_simulation_result_to_csv_scheme(
            node_data[key]["measurement"] = record.get_measurement()
            node_data[key]["date"] = record.values.get("date", None)
            node_data[key]["scheme_Type"] = record.values.get("scheme_Type", None)
-            node_data[key]["scheme_Name"] = record.values.get("scheme_Name", None)
+            node_data[key]["scheme_name"] = record.values.get("scheme_name", None)
    for key in set(link_data.keys()):
        row = {"time": key[0], "ID": key[1]}
        row.update(link_data.get(key, {}))
@@ -4416,10 +4416,10 @@ def export_scheme_simulation_result_to_csv_scheme(
        node_rows.append(row)
    # 动态生成 CSV 文件名
    csv_filename_link = (
-        f"scheme_simulation_link_result_{scheme_Name}_of_{scheme_Type}.csv"
+        f"scheme_simulation_link_result_{scheme_name}_of_{scheme_Type}.csv"
    )
    csv_filename_node = (
-        f"scheme_simulation_node_result_{scheme_Name}_of_{scheme_Type}.csv"
+        f"scheme_simulation_node_result_{scheme_name}_of_{scheme_Type}.csv"
    )
    # 写入到 CSV 文件
    with open(csv_filename_link, mode="w", newline="") as file:
@@ -4430,7 +4430,7 @@ def export_scheme_simulation_result_to_csv_scheme(
                "measurement",
                "date",
                "scheme_Type",
-                "scheme_Name",
+                "scheme_name",
                "ID",
                "flow",
                "leakage",
@@ -4453,7 +4453,7 @@ def export_scheme_simulation_result_to_csv_scheme(
                "measurement",
                "date",
                "scheme_Type",
-                "scheme_Name",
+                "scheme_name",
                "ID",
                "head",
                "pressure",
@@ -4878,15 +4878,15 @@ if __name__ == "__main__":
    # export_scheme_simulation_result_to_csv_time(start_date='2025-02-13', end_date='2025-02-15')

    # 示例9：export_scheme_simulation_result_to_csv_scheme
-    # export_scheme_simulation_result_to_csv_scheme(scheme_Type='burst_Analysis', scheme_Name='scheme1', query_date='2025-03-10')
+    # export_scheme_simulation_result_to_csv_scheme(scheme_Type='burst_Analysis', scheme_name='scheme1', query_date='2025-03-10')

    # 示例10：query_scheme_all_record_by_time
-    # node_records, link_records = query_scheme_all_record_by_time(scheme_Type='burst_Analysis', scheme_Name='scheme1', query_time="2025-02-14T10:30:00+08:00")
+    # node_records, link_records = query_scheme_all_record_by_time(scheme_Type='burst_Analysis', scheme_name='scheme1', query_time="2025-02-14T10:30:00+08:00")
    # print("Node 数据：", node_records)
    # print("Link 数据：", link_records)

    # 示例11：query_scheme_curve_by_ID_property
-    # curve_result = query_scheme_curve_by_ID_property(scheme_Type='burst_Analysis', scheme_Name='scheme1', ID='ZBBDTZDP000022',
+    # curve_result = query_scheme_curve_by_ID_property(scheme_Type='burst_Analysis', scheme_name='scheme1', ID='ZBBDTZDP000022',
    #                                                  type='node', property='head')
    # print(curve_result)

@@ -4896,7 +4896,7 @@ if __name__ == "__main__":
    # print("Link 数据：", link_records)

    # 示例13：query_scheme_all_record
-    # node_records, link_records = query_scheme_all_record(scheme_Type='burst_Analysis', scheme_Name='scheme1', query_date='2025-03-10')
+    # node_records, link_records = query_scheme_all_record(scheme_Type='burst_Analysis', scheme_name='scheme1', query_date='2025-03-10')
    # print("Node 数据：", node_records)
    # print("Link 数据：", link_records)

@@ -4909,16 +4909,16 @@ if __name__ == "__main__":
    # print(result_records)

    # 示例16：query_scheme_all_record_by_time_property
-    # result_records = query_scheme_all_record_by_time_property(scheme_Type='burst_Analysis', scheme_Name='scheme1',
+    # result_records = query_scheme_all_record_by_time_property(scheme_Type='burst_Analysis', scheme_name='scheme1',
    #                                                           query_time='2025-02-14T10:30:00+08:00', type='node', property='head')
    # print(result_records)

    # 示例17：query_scheme_all_record_property
-    # result_records = query_scheme_all_record_property(scheme_Type='burst_Analysis', scheme_Name='scheme1', query_date='2025-03-10', type='node', property='head')
+    # result_records = query_scheme_all_record_property(scheme_Type='burst_Analysis', scheme_name='scheme1', query_date='2025-03-10', type='node', property='head')
    # print(result_records)

    # 示例18：fill_scheme_simulation_result_to_SCADA
-    # fill_scheme_simulation_result_to_SCADA(scheme_Type='burst_Analysis', scheme_Name='burst0330', query_date='2025-03-30')
+    # fill_scheme_simulation_result_to_SCADA(scheme_Type='burst_Analysis', scheme_name='burst0330', query_date='2025-03-30')

    # 示例19：query_SCADA_data_by_device_ID_and_timerange
    # result = query_SCADA_data_by_device_ID_and_timerange(query_ids_list=globals.pressure_non_realtime_ids, start_time='2025-04-16T00:00:00+08:00',
@@ -4926,7 +4926,7 @@ if __name__ == "__main__":
    # print(result)

    # 示例：manually_get_burst_flow
-    # leakage = manually_get_burst_flow(scheme_Type='burst_Analysis', scheme_Name='burst_scheme', scheme_start_time='2025-03-10T12:00:00+08:00')
+    # leakage = manually_get_burst_flow(scheme_Type='burst_Analysis', scheme_name='burst_scheme', scheme_start_time='2025-03-10T12:00:00+08:00')
    # print(leakage)

    # 示例：upload_cleaned_SCADA_data_to_influxdb