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iTi-Flask-IOT
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添加influxdb重连

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iot
DESKTOP-1JS6RSM\Admin 3 months ago
parent 5d58002118
commit 675d2fad8f
2 changed files with 222 additions and 35 deletions
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3
iti/.env.dev
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@ -21,3 +21,6 @@ INFLUXDB_URL="http://124.223.195.237:8086"
INFLUXDB_TOKEN="HdHOox3RqEjJ--Ma9_dFcf-Iv8wu2u0FyD_sV4MT4EIoQoT7h4eZLR_n_yGgmiSLAGiIaUgaH6x-cILNGV8W4g=="
INFLUXDB_ORG="noface"
INFLUXDB_BUCKET="yh-iot"
INFLUXDB_MAX_RETRIES=3
INFLUXDB_RETRY_DELAY=1.0
INFLUXDB_MAX_RETRY_DELAY=30.0

264
iti/applications/service/iot/influxdb_mgr.py
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@ -1,7 +1,7 @@
from influxdb_client import InfluxDBClient
from influxdb_client import InfluxDBClient, Point
from influxdb_client.client.write_api import SYNCHRONOUS
import logging, os
from typing import List, Dict, Any
import logging, os, time
from typing import List, Dict, Any, Optional
logger = logging.getLogger(__name__)
@ -22,7 +22,7 @@ class InfluxDBMgr:
cls._instance = super().__new__(cls)
return cls._instance
def init_app(self, app):
def init_app(self, app) -> None:
"""
初始化
"""
@ -31,48 +31,232 @@ class InfluxDBMgr:
return
logger.info("influxdb初始化...........")
url = os.getenv("INFLUXDB_URL", "")
token = os.getenv("INFLUXDB_TOKEN", "")
org = os.getenv("INFLUXDB_ORG", "")
# 增强配置验证
self.url = os.getenv("INFLUXDB_URL", "")
self.token = os.getenv("INFLUXDB_TOKEN", "")
self.org = os.getenv("INFLUXDB_ORG", "")
self.bucket = os.getenv("INFLUXDB_BUCKET", "")
if len(url) == 0:
logger.error("influxdb未配置，初始化失败")
# 更严格的配置检查
missing_configs = []
if not self.url:
missing_configs.append("INFLUXDB_URL")
if not self.token:
missing_configs.append("INFLUXDB_TOKEN")
if not self.org:
missing_configs.append("INFLUXDB_ORG")
if not self.bucket:
missing_configs.append("INFLUXDB_BUCKET")
if missing_configs:
logger.error(f"influxdb配置不完整，缺少: {', '.join(missing_configs)}")
self._initialized = False
return
# 配置重连参数
self.max_retries = int(os.getenv("INFLUXDB_MAX_RETRIES", "3"))
self.retry_delay = float(os.getenv("INFLUXDB_RETRY_DELAY", "1"))
self.max_retry_delay = float(os.getenv("INFLUXDB_MAX_RETRY_DELAY", "30"))
# 初始化API实例缓存
self._query_api = None
self._write_api = None
# 建立连接
if not self._connect():
logger.error("influxdb初始化失败")
self._initialized = False
return
self.client = InfluxDBClient(url=url, token=token, org=org)
def query_table(self, query_measurement: str, query_filed: str)-> List[Dict[str, Any]]:
query_api = self.client.query_api()
flux_query = f'''
from(bucket: "{self.bucket}")
|> range(start: -15m)
|> filter(fn: (r) => r._measurement == "{query_measurement}")
|> filter(fn: (r) => r._field == "{query_filed}")
|> yield(name: "mean")
'''
query_tables = query_api.query(flux_query)
result_records = []
for _table in query_tables:
for record in _table.records:
dict = {}
# record 包含时间、measurement、field、value 和 tags
dict["time"] = record.get_time()
dict["measurement"] = record.get_measurement()
dict["field"] = record.get_field()
dict["value"] = record.get_value()
# dict["tags"] = record.values # 包含所有 tags 和系统字段
# logger.info(f"时间: {time}, measurement: {measurement}, field: {field}, 值: {value}, tags: {tags}")
result_records.append(dict)
return result_records
def close_client(self):
logger.info("influxdb初始化成功")
def _connect(self) -> bool:
"""
建立连接
"""
try:
self.client = InfluxDBClient(
url=self.url,
token=self.token,
org=self.org,
# timeout=10 # 添加连接超时设置
)
self._initialized = True
logger.info("InfluxDB连接成功")
return True
except Exception as e:
logger.error(f"InfluxDB连接失败: {e}")
self._initialized = False
return False
def _check_connection(self) -> bool:
"""
检查连接状态
"""
if not self._initialized or not hasattr(self, 'client') or not self.client:
return False
try:
# 尝试执行一个简单的查询来检查连接状态
if not hasattr(self, '_query_api') or not self._query_api:
self._query_api = self.client.query_api()
test_query = f'from(bucket: "{self.bucket}") |> range(start: -1m) |> limit(n: 1)'
self._query_api.query(test_query)
return True
except Exception as e:
logger.warning(f"InfluxDB连接检查失败: {e}")
return False
def _reconnect(self) -> bool:
"""
重新连接
"""
logger.info("尝试重新连接InfluxDB...")
for attempt in range(self.max_retries):
try:
# 使用更平滑的指数退避算法
delay = min(self.retry_delay * (1.5 ** attempt), self.max_retry_delay)
logger.info(f"第{attempt + 1}次重连尝试，等待{delay:.2f}秒...")
time.sleep(delay)
self.close_client()
if self._connect() and self._check_connection():
logger.info("InfluxDB重连成功")
return True
except Exception as e:
logger.error(f"第{attempt + 1}次重连失败: {e}")
logger.error(f"经过{self.max_retries}次尝试后，InfluxDB重连失败")
return False
def _ensure_connection(self) -> bool:
"""
确保连接有效
"""
if not self._check_connection():
return self._reconnect()
return True
def query_table(self, query_measurement: str, query_field: str)-> List[Dict[str, Any]]:
"""
查询数据表，带自动重连功能
"""
if not self._ensure_connection():
logger.error("无法建立InfluxDB连接，查询失败")
return []
try:
if not hasattr(self, '_query_api') or not self._query_api:
self._query_api = self.client.query_api()
flux_query = f'''
from(bucket: "{self.bucket}")
|> range(start: -15m)
|> filter(fn: (r) => r._measurement == "{query_measurement}")
|> filter(fn: (r) => r._field == "{query_field}")
|> yield(name: "mean")
'''
query_tables = self._query_api.query(flux_query)
result_records = []
for _table in query_tables:
for record in _table.records:
dict = {}
# record 包含时间、measurement、field、value 和 tags
dict["time"] = record.get_time()
dict["measurement"] = record.get_measurement()
dict["field"] = record.get_field()
dict["value"] = record.get_value()
# dict["tags"] = record.values # 包含所有 tags 和系统字段
# logger.info(f"时间: {time}, measurement: {measurement}, field: {field}, 值: {value}, tags: {tags}")
result_records.append(dict)
return result_records
except Exception as e:
logger.error(f"查询InfluxDB失败: {e}")
# 查询失败时也尝试重连
if not self._reconnect():
logger.error("查询失败且重连失败，返回空结果")
return []
def write_data(self, measurement: str, fields: Dict[str, Any], tags: Optional[Dict[str, str]] = None, timestamp: Optional[int] = None) -> bool:
"""
写入数据到InfluxDB，带自动重连功能
"""
if not self._ensure_connection():
logger.error("无法建立InfluxDB连接，写入失败")
return False
try:
if not hasattr(self, '_write_api') or not self._write_api:
self._write_api = self.client.write_api(write_options=SYNCHRONOUS)
point = Point(measurement)
# 添加标签
if tags:
for tag_key, tag_value in tags.items():
point = point.tag(tag_key, tag_value)
# 添加字段
for field_key, field_value in fields.items():
point = point.field(field_key, field_value)
# 添加时间戳
if timestamp:
point = point.time(timestamp)
self._write_api.write(bucket=self.bucket, record=point)
logger.debug(f"数据成功写入InfluxDB: {measurement}")
return True
except Exception as e:
logger.error(f"写入InfluxDB失败: {e}")
# 写入失败时也尝试重连
if not self._reconnect():
logger.error("写入失败且重连失败")
return False
def write_batch_data(self, points: List[Point]) -> bool:
"""
批量写入数据到InfluxDB，带自动重连功能
"""
if not self._ensure_connection():
logger.error("无法建立InfluxDB连接，批量写入失败")
return False
try:
if not hasattr(self, '_write_api') or not self._write_api:
self._write_api = self.client.write_api(write_options=SYNCHRONOUS)
self._write_api.write(bucket=self.bucket, record=points)
logger.debug(f"批量数据成功写入InfluxDB: {len(points)}条记录")
return True
except Exception as e:
logger.error(f"批量写入InfluxDB失败: {e}")
# 写入失败时也尝试重连
if not self._reconnect():
logger.error("批量写入失败且重连失败")
return False
def close_client(self) -> None:
"""
关闭客户端连接，释放资源
"""
# 关闭API实例
if hasattr(self, '_query_api'):
delattr(self, '_query_api')
if hasattr(self, '_write_api'):
delattr(self, '_write_api')
# 关闭客户端连接
if hasattr(self, 'client') and self.client:
self.client.close()
logger.info("InfluxDB 客户端已关闭")

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