Refine

influxdb_api.py

@@ -1877,6 +1877,78 @@ def query_all_record_by_date(query_date: str, bucket: str="realtime_simulation_r
         time_cost_end - time_cost_start))
     return node_records, link_records
 
+# 2025/03/15    DingZQ
+def query_all_records_by_date_with_type(query_date: str, query_type: str, bucket: str="realtime_simulation_result", client: InfluxDBClient=client) -> list:
+    """
+    查询指定日期的所有记录，包括‘node’和‘link’，分别以指定的格式返回
+    :param query_date: 输入的日期，格式为‘2025-02-14’
+    :param query_type: type 可以是 node 或者 link
+    :param bucket: 数据存储的bucket名称
+    :param client: 已初始化的InfluxDBClient 实例。
+    :return: dict: tuple: (node_records, link_records)
+    """
+    # 记录开始时间
+    time_cost_start = time.perf_counter()
+    print('{} -- Hydraulic simulation started.'.format(
+        datetime.now(pytz.timezone('Asia/Shanghai')).strftime('%Y-%m-%d %H:%M:%S')))
+
+    if client.ping():
+        pass
+    else:
+        print("{} -- Failed to connect to InfluxDB.".format( datetime.now().strftime('%Y-%m-%d %H:%M:%S')))
+
+    query_api = client.query_api()
+    # 将 start_date 的北京时间转换为 UTC 时间
+    start_time = (datetime.strptime(query_date, "%Y-%m-%d") - timedelta(days=1)).replace(hour=16, minute=0, second=0, tzinfo=timezone.utc).isoformat()
+    # 构建 Flux 查询语句
+    flux_query = f'''
+    from(bucket: "{bucket}")
+      |> range(start: {start_time})
+      |> filter(fn: (r) => r["_measurement"] == "{query_type}" and r["date"] == "{query_date}")
+      |> pivot(
+          rowKey:["_time"], 
+          columnKey:["_field"],
+          valueColumn:"_value"
+      )           
+    '''
+    # 执行查询
+    tables = query_api.query(flux_query)
+    result_records = []
+    # 解析查询结果
+    for table in tables:
+        for record in table.records:
+            # print(record.values)  # 打印完整记录内容
+            measurement = record["_measurement"]
+            # 处理 node 数据
+            if measurement == "node":
+                result_records.append({
+                    "time": record["_time"],
+                    "ID": record["ID"],
+                    "head": record["head"],
+                    "pressure": record["pressure"],
+                    "actualdemand": record["actualdemand"],
+                    "quality": record["quality"]
+                })
+            # 处理 link 数据
+            elif measurement == "link":
+                result_records.append({
+                    "time": record["_time"],
+                    "linkID": record["ID"],
+                    "flow": record["flow"],
+                    "velocity": record["velocity"],
+                    "headloss": record["headloss"],
+                    "quality": record["quality"],
+                    "status": record["status"],
+                    "setting": record["setting"],
+                    "reaction": record["reaction"],
+                    "friction": record["friction"]
+                })
+    time_cost_end = time.perf_counter()
+    print('{} -- Hydraulic simulation finished, cost time: {:.2f} s.'.format(
+        datetime.now(pytz.timezone('Asia/Shanghai')).strftime('%Y-%m-%d %H:%M:%S'),
+        time_cost_end - time_cost_start))
+
+    return result_records
 
 # 2025/02/21
 def query_all_record_by_date_property(query_date: str, type: str, property: str,

main.py

@@ -2147,6 +2147,27 @@ async def fastapi_query_all_records_by_date(querydate: str) -> dict[str, list]:
     return { "nodes": results[0],
              "links": results[1] }
 
+#2025-03-15, DingZQ
+@app.get("/queryallrecordsbydatewithtype/")
+async def fastapi_query_all_records_by_date_with_type(querydate: str, querytype: str) -> list:
+    # 缓存查询结果提高性能
+    global redis_client
+    cache_key = f"queryallrecordsbydatewithtype_{querydate}_{querytype}"
+    data = redis_client.get(cache_key)
+    if data:
+        # 使用自定义的反序列化函数
+        loaded_dict = msgpack.unpackb(data, object_hook=object_hook)
+        return loaded_dict
+
+    results = influxdb_api.query_all_records_by_date_with_type(query_date=querydate, query_type=querytype, client=influx_client)
+    packed = msgpack.packb(result_dict, default=default_encoder)  
+    redis_client.set(cache_key, packed)
+
+    return results
+
+
+
+
 # 查询指定日期、类型、属性的所有记录
 # 返回 [{'time': '2024-01-01T00:00:00Z', 'ID': '1', 'value': 1.0}, {'time': '2024-01-01T00:00:00Z', 'ID': '2', 'value': 2.0}]
 @app.get("/queryallrecordsbydateproperty/")