Fix Matrix message formatting and harden security

Matrix alerts:
- Send HTML formatted_body (org.matrix.custom.html) so **bold** and URLs
  render instead of showing literal Markdown; add plain-text body fallback.
  Add dependency-free markdown_to_matrix_html/strip_markdown helpers with
  HTML escaping of station/message data.

Security:
- InfluxDB: bind untrusted station_codes as query params and cast limit to
  int (was f-string interpolation / injection risk).
- VictoriaMetrics: escape Prometheus label values and coerce metric values
  to float, preventing exposition-format injection and None crashes.
- web_api: run blocking scrape cycle via run_in_executor so it no longer
  freezes the event loop; make CORS origins configurable and only allow
  credentials with explicit origins ("*" + credentials is invalid/unsafe).
- config: remove hardcoded root/postgres password fallbacks (raise instead)
  and stop defaulting VM_HOST to a real infrastructure hostname.

Also remove unused imports and wrap long lines to satisfy flake8.
This commit is contained in:
2026-07-22 12:07:05 +07:00
parent d3ec5a77e6
commit f4c63cabef
4 changed files with 688 additions and 525 deletions
+315 -240
View File
@@ -5,225 +5,255 @@ Database adapters for different storage backends
import datetime
import logging
from typing import List, Dict, Optional, Any
from abc import ABC, abstractmethod
from typing import Dict, List, Optional
# Base adapter interface
class DatabaseAdapter(ABC):
@abstractmethod
def connect(self):
pass
@abstractmethod
def save_measurements(self, measurements: List[Dict]) -> bool:
pass
@abstractmethod
def get_latest_measurements(self, limit: int = 100) -> List[Dict]:
pass
@abstractmethod
def get_measurements_by_timerange(self, start_time: datetime.datetime,
end_time: datetime.datetime,
station_codes: Optional[List[str]] = None) -> List[Dict]:
def get_measurements_by_timerange(
self,
start_time: datetime.datetime,
end_time: datetime.datetime,
station_codes: Optional[List[str]] = None,
) -> List[Dict]:
pass
@abstractmethod
def get_measurements_for_date(self, target_date: datetime.datetime) -> List[Dict]:
pass
# InfluxDB Adapter
class InfluxDBAdapter(DatabaseAdapter):
def __init__(self, host: str = "localhost", port: int = 8086,
database: str = "water_monitoring", username: str = None, password: str = None):
def __init__(
self,
host: str = "localhost",
port: int = 8086,
database: str = "water_monitoring",
username: str = None,
password: str = None,
):
self.host = host
self.port = port
self.database = database
self.username = username
self.password = password
self.client = None
def connect(self):
try:
from influxdb import InfluxDBClient
self.client = InfluxDBClient(
host=self.host,
port=self.port,
username=self.username,
password=self.password,
database=self.database
database=self.database,
)
# Create database if it doesn't exist
databases = self.client.get_list_database()
if not any(db['name'] == self.database for db in databases):
if not any(db["name"] == self.database for db in databases):
self.client.create_database(self.database)
logging.info(f"Created InfluxDB database: {self.database}")
# Create retention policy (keep data for 2 years, downsample after 30 days)
retention_policies = self.client.get_list_retention_policies(self.database)
if not any(rp['name'] == 'water_data_policy' for rp in retention_policies):
if not any(rp["name"] == "water_data_policy" for rp in retention_policies):
self.client.create_retention_policy(
'water_data_policy',
'730d', # 2 years
'1', # replication factor
"water_data_policy",
"730d", # 2 years
"1", # replication factor
database=self.database,
default=True
default=True,
)
logging.info("Connected to InfluxDB successfully")
return True
except ImportError:
logging.error("InfluxDB client not installed. Run: pip install influxdb")
return False
except Exception as e:
logging.error(f"Failed to connect to InfluxDB: {e}")
return False
def save_measurements(self, measurements: List[Dict]) -> bool:
if not self.client:
logging.error("InfluxDB client not connected")
return False
try:
points = []
for measurement in measurements:
point = {
"measurement": "water_data",
"tags": {
"station_code": measurement['station_code'],
"station_name_en": measurement['station_name_en'],
"station_name_th": measurement['station_name_th']
"station_code": measurement["station_code"],
"station_name_en": measurement["station_name_en"],
"station_name_th": measurement["station_name_th"],
},
"time": measurement['timestamp'].isoformat(),
"time": measurement["timestamp"].isoformat(),
"fields": {
"water_level": float(measurement['water_level']),
"discharge": float(measurement['discharge']),
"discharge_percent": float(measurement['discharge_percent']) if measurement['discharge_percent'] else None
}
"water_level": float(measurement["water_level"]),
"discharge": float(measurement["discharge"]),
"discharge_percent": float(measurement["discharge_percent"])
if measurement["discharge_percent"]
else None,
},
}
points.append(point)
success = self.client.write_points(points)
if success:
logging.info(f"Successfully wrote {len(points)} points to InfluxDB")
return success
except Exception as e:
logging.error(f"Error writing to InfluxDB: {e}")
return False
def get_latest_measurements(self, limit: int = 100) -> List[Dict]:
if not self.client:
return []
try:
# Cast limit to int so it can never carry an injection payload.
limit = int(limit)
query = f"""
SELECT last("water_level") as water_level,
last("discharge") as discharge,
SELECT last("water_level") as water_level,
last("discharge") as discharge,
last("discharge_percent") as discharge_percent
FROM "water_data"
FROM "water_data"
GROUP BY "station_code", "station_name_en", "station_name_th"
LIMIT {limit}
"""
result = self.client.query(query)
measurements = []
for point in result.get_points():
measurements.append({
'timestamp': point['time'],
'station_code': point.get('station_code'),
'station_name_en': point.get('station_name_en'),
'station_name_th': point.get('station_name_th'),
'water_level': point.get('water_level'),
'discharge': point.get('discharge'),
'discharge_percent': point.get('discharge_percent')
})
measurements.append(
{
"timestamp": point["time"],
"station_code": point.get("station_code"),
"station_name_en": point.get("station_name_en"),
"station_name_th": point.get("station_name_th"),
"water_level": point.get("water_level"),
"discharge": point.get("discharge"),
"discharge_percent": point.get("discharge_percent"),
}
)
return measurements
except Exception as e:
logging.error(f"Error querying InfluxDB: {e}")
return []
def get_measurements_by_timerange(self, start_time: datetime.datetime,
end_time: datetime.datetime,
station_codes: Optional[List[str]] = None) -> List[Dict]:
def get_measurements_by_timerange(
self,
start_time: datetime.datetime,
end_time: datetime.datetime,
station_codes: Optional[List[str]] = None,
) -> List[Dict]:
if not self.client:
return []
try:
# start_time/end_time are datetime objects (fixed isoformat, injection-safe).
# station_codes are untrusted strings -> bind them as parameters.
bind_params = {}
where_clause = f"time >= '{start_time.isoformat()}' AND time <= '{end_time.isoformat()}'"
if station_codes:
station_filter = "'" + "','".join(station_codes) + "'"
where_clause += f" AND station_code IN ({station_filter})"
placeholders = []
for i, code in enumerate(station_codes):
key = f"sc{i}"
bind_params[key] = code
placeholders.append(f"station_code = ${key}")
where_clause += " AND (" + " OR ".join(placeholders) + ")"
query = f"""
SELECT "water_level", "discharge", "discharge_percent", "station_code", "station_name_en", "station_name_th"
FROM "water_data"
FROM "water_data"
WHERE {where_clause}
ORDER BY time DESC
"""
result = self.client.query(query)
result = self.client.query(query, bind_params=bind_params)
measurements = []
for point in result.get_points():
measurements.append({
'timestamp': point['time'],
'station_code': point.get('station_code'),
'station_name_en': point.get('station_name_en'),
'station_name_th': point.get('station_name_th'),
'water_level': point.get('water_level'),
'discharge': point.get('discharge'),
'discharge_percent': point.get('discharge_percent')
})
measurements.append(
{
"timestamp": point["time"],
"station_code": point.get("station_code"),
"station_name_en": point.get("station_name_en"),
"station_name_th": point.get("station_name_th"),
"water_level": point.get("water_level"),
"discharge": point.get("discharge"),
"discharge_percent": point.get("discharge_percent"),
}
)
return measurements
except Exception as e:
logging.error(f"Error querying InfluxDB: {e}")
return []
# MySQL/PostgreSQL Adapter
class SQLAdapter(DatabaseAdapter):
def __init__(self, connection_string: str, db_type: str = "mysql"):
self.connection_string = connection_string
self.db_type = db_type.lower()
self.engine = None
# Add SQLite-specific connection parameters for better concurrency
if self.db_type == "sqlite":
if "?" not in connection_string:
self.connection_string += "?timeout=30&check_same_thread=False"
else:
self.connection_string += "&timeout=30&check_same_thread=False"
def connect(self):
try:
from sqlalchemy import create_engine, text
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
self.engine = create_engine(self.connection_string, pool_pre_ping=True)
# Create tables
self._create_tables()
logging.info(f"Connected to {self.db_type.upper()} successfully")
return True
except ImportError:
logging.error("SQLAlchemy not installed. Run: pip install sqlalchemy pymysql")
return False
except Exception as e:
logging.error(f"Failed to connect to {self.db_type.upper()}: {e}")
return False
def _create_tables(self):
from sqlalchemy import text
# Stations table - adjust for different databases
if self.db_type == "sqlite":
stations_sql = """
@@ -239,7 +269,7 @@ class SQLAdapter(DatabaseAdapter):
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
"""
measurements_sql = """
CREATE TABLE IF NOT EXISTS water_measurements (
id INTEGER PRIMARY KEY AUTOINCREMENT,
@@ -254,13 +284,13 @@ class SQLAdapter(DatabaseAdapter):
UNIQUE(timestamp, station_id)
)
"""
# Create indexes separately for SQLite
index_sql = [
"CREATE INDEX IF NOT EXISTS idx_timestamp ON water_measurements(timestamp)",
"CREATE INDEX IF NOT EXISTS idx_station_timestamp ON water_measurements(station_id, timestamp)"
"CREATE INDEX IF NOT EXISTS idx_station_timestamp ON water_measurements(station_id, timestamp)",
]
elif self.db_type == "postgresql":
stations_sql = """
CREATE TABLE IF NOT EXISTS stations (
@@ -275,7 +305,7 @@ class SQLAdapter(DatabaseAdapter):
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
"""
measurements_sql = """
CREATE TABLE IF NOT EXISTS water_measurements (
id BIGSERIAL PRIMARY KEY,
@@ -290,12 +320,12 @@ class SQLAdapter(DatabaseAdapter):
UNIQUE(timestamp, station_id)
)
"""
index_sql = [
"CREATE INDEX IF NOT EXISTS idx_timestamp ON water_measurements(timestamp)",
"CREATE INDEX IF NOT EXISTS idx_station_timestamp ON water_measurements(station_id, timestamp DESC)"
"CREATE INDEX IF NOT EXISTS idx_station_timestamp ON water_measurements(station_id, timestamp DESC)",
]
else: # MySQL
stations_sql = """
CREATE TABLE IF NOT EXISTS stations (
@@ -310,7 +340,7 @@ class SQLAdapter(DatabaseAdapter):
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
)
"""
measurements_sql = """
CREATE TABLE IF NOT EXISTS water_measurements (
id BIGINT AUTO_INCREMENT PRIMARY KEY,
@@ -328,36 +358,44 @@ class SQLAdapter(DatabaseAdapter):
)
"""
index_sql = []
with self.engine.begin() as conn:
conn.execute(text(stations_sql))
conn.execute(text(measurements_sql))
# Create indexes for SQLite and PostgreSQL
for index in index_sql:
conn.execute(text(index))
# Transaction is automatically committed when context manager exits
def save_measurements(self, measurements: List[Dict]) -> bool:
if not self.engine:
return False
try:
from sqlalchemy import text
with self.engine.begin() as conn:
# Insert/update stations
for measurement in measurements:
if self.db_type == "sqlite":
station_sql = """
INSERT OR REPLACE INTO stations (id, station_code, thai_name, english_name, latitude, longitude, geohash, updated_at)
VALUES (:station_id, :station_code, :thai_name, :english_name, :latitude, :longitude, :geohash, CURRENT_TIMESTAMP)
INSERT OR REPLACE INTO stations
(id, station_code, thai_name, english_name,
latitude, longitude, geohash, updated_at)
VALUES
(:station_id, :station_code, :thai_name, :english_name,
:latitude, :longitude, :geohash, CURRENT_TIMESTAMP)
"""
elif self.db_type == "postgresql":
station_sql = """
INSERT INTO stations (id, station_code, thai_name, english_name, latitude, longitude, geohash, updated_at)
VALUES (:station_id, :station_code, :thai_name, :english_name, :latitude, :longitude, :geohash, NOW())
INSERT INTO stations
(id, station_code, thai_name, english_name,
latitude, longitude, geohash, updated_at)
VALUES
(:station_id, :station_code, :thai_name, :english_name,
:latitude, :longitude, :geohash, NOW())
ON CONFLICT (id) DO UPDATE SET
thai_name = EXCLUDED.thai_name,
english_name = EXCLUDED.english_name,
@@ -368,9 +406,13 @@ class SQLAdapter(DatabaseAdapter):
"""
else: # MySQL
station_sql = """
INSERT INTO stations (id, station_code, thai_name, english_name, latitude, longitude, geohash, updated_at)
VALUES (:station_id, :station_code, :thai_name, :english_name, :latitude, :longitude, :geohash, NOW())
ON DUPLICATE KEY UPDATE
INSERT INTO stations
(id, station_code, thai_name, english_name,
latitude, longitude, geohash, updated_at)
VALUES
(:station_id, :station_code, :thai_name, :english_name,
:latitude, :longitude, :geohash, NOW())
ON DUPLICATE KEY UPDATE
thai_name = VALUES(thai_name),
english_name = VALUES(english_name),
latitude = VALUES(latitude),
@@ -378,28 +420,31 @@ class SQLAdapter(DatabaseAdapter):
geohash = VALUES(geohash),
updated_at = NOW()
"""
conn.execute(text(station_sql), {
'station_id': measurement['station_id'],
'station_code': measurement['station_code'],
'thai_name': measurement['station_name_th'],
'english_name': measurement['station_name_en'],
'latitude': measurement.get('latitude'),
'longitude': measurement.get('longitude'),
'geohash': measurement.get('geohash')
})
conn.execute(
text(station_sql),
{
"station_id": measurement["station_id"],
"station_code": measurement["station_code"],
"thai_name": measurement["station_name_th"],
"english_name": measurement["station_name_en"],
"latitude": measurement.get("latitude"),
"longitude": measurement.get("longitude"),
"geohash": measurement.get("geohash"),
},
)
# Insert measurements
for measurement in measurements:
if self.db_type == "sqlite":
measurement_sql = """
INSERT OR REPLACE INTO water_measurements
INSERT OR REPLACE INTO water_measurements
(timestamp, station_id, water_level, discharge, discharge_percent, status)
VALUES (:timestamp, :station_id, :water_level, :discharge, :discharge_percent, :status)
"""
elif self.db_type == "postgresql":
measurement_sql = """
INSERT INTO water_measurements
INSERT INTO water_measurements
(timestamp, station_id, water_level, discharge, discharge_percent, status)
VALUES (:timestamp, :station_id, :water_level, :discharge, :discharge_percent, :status)
ON CONFLICT (timestamp, station_id) DO UPDATE SET
@@ -410,7 +455,7 @@ class SQLAdapter(DatabaseAdapter):
"""
else: # MySQL
measurement_sql = """
INSERT INTO water_measurements
INSERT INTO water_measurements
(timestamp, station_id, water_level, discharge, discharge_percent, status)
VALUES (:timestamp, :station_id, :water_level, :discharge, :discharge_percent, :status)
ON DUPLICATE KEY UPDATE
@@ -419,31 +464,34 @@ class SQLAdapter(DatabaseAdapter):
discharge_percent = VALUES(discharge_percent),
status = VALUES(status)
"""
conn.execute(text(measurement_sql), {
'timestamp': measurement['timestamp'],
'station_id': measurement['station_id'],
'water_level': measurement['water_level'],
'discharge': measurement['discharge'],
'discharge_percent': measurement['discharge_percent'],
'status': measurement['status']
})
conn.execute(
text(measurement_sql),
{
"timestamp": measurement["timestamp"],
"station_id": measurement["station_id"],
"water_level": measurement["water_level"],
"discharge": measurement["discharge"],
"discharge_percent": measurement["discharge_percent"],
"status": measurement["status"],
},
)
# Transaction is automatically committed when context manager exits
logging.info(f"Successfully saved {len(measurements)} measurements to {self.db_type.upper()}")
return True
except Exception as e:
logging.error(f"Error saving to {self.db_type.upper()}: {e}")
return False
def get_latest_measurements(self, limit: int = 100) -> List[Dict]:
if not self.engine:
return []
try:
from sqlalchemy import text
query = """
SELECT m.timestamp, s.station_code, s.english_name, s.thai_name,
m.water_level, m.discharge, m.discharge_percent, m.status
@@ -457,47 +505,52 @@ class SQLAdapter(DatabaseAdapter):
ORDER BY s.station_code
LIMIT :limit
"""
with self.engine.connect() as conn:
result = conn.execute(text(query), {'limit': limit})
result = conn.execute(text(query), {"limit": limit})
measurements = []
for row in result:
measurements.append({
'timestamp': row[0],
'station_code': row[1],
'station_name_en': row[2],
'station_name_th': row[3],
'water_level': float(row[4]) if row[4] else None,
'discharge': float(row[5]) if row[5] else None,
'discharge_percent': float(row[6]) if row[6] else None,
'status': row[7]
})
measurements.append(
{
"timestamp": row[0],
"station_code": row[1],
"station_name_en": row[2],
"station_name_th": row[3],
"water_level": float(row[4]) if row[4] else None,
"discharge": float(row[5]) if row[5] else None,
"discharge_percent": float(row[6]) if row[6] else None,
"status": row[7],
}
)
return measurements
except Exception as e:
logging.error(f"Error querying {self.db_type.upper()}: {e}")
return []
def get_measurements_by_timerange(self, start_time: datetime.datetime,
end_time: datetime.datetime,
station_codes: Optional[List[str]] = None) -> List[Dict]:
def get_measurements_by_timerange(
self,
start_time: datetime.datetime,
end_time: datetime.datetime,
station_codes: Optional[List[str]] = None,
) -> List[Dict]:
if not self.engine:
return []
try:
from sqlalchemy import text
where_clause = "m.timestamp BETWEEN :start_time AND :end_time"
params = {'start_time': start_time, 'end_time': end_time}
params = {"start_time": start_time, "end_time": end_time}
if station_codes:
placeholders = ','.join([f':station_{i}' for i in range(len(station_codes))])
placeholders = ",".join([f":station_{i}" for i in range(len(station_codes))])
where_clause += f" AND s.station_code IN ({placeholders})"
for i, code in enumerate(station_codes):
params[f'station_{i}'] = code
params[f"station_{i}"] = code
query = f"""
SELECT m.timestamp, s.station_code, s.english_name, s.thai_name,
m.water_level, m.discharge, m.discharge_percent, m.status
@@ -506,25 +559,27 @@ class SQLAdapter(DatabaseAdapter):
WHERE {where_clause}
ORDER BY m.timestamp DESC, s.station_code
"""
with self.engine.connect() as conn:
result = conn.execute(text(query), params)
measurements = []
for row in result:
measurements.append({
'timestamp': row[0],
'station_code': row[1],
'station_name_en': row[2],
'station_name_th': row[3],
'water_level': float(row[4]) if row[4] else None,
'discharge': float(row[5]) if row[5] else None,
'discharge_percent': float(row[6]) if row[6] else None,
'status': row[7]
})
measurements.append(
{
"timestamp": row[0],
"station_code": row[1],
"station_name_en": row[2],
"station_name_th": row[3],
"water_level": float(row[4]) if row[4] else None,
"discharge": float(row[5]) if row[5] else None,
"discharge_percent": float(row[6]) if row[6] else None,
"status": row[7],
}
)
return measurements
except Exception as e:
logging.error(f"Error querying {self.db_type.upper()}: {e}")
return []
@@ -551,23 +606,22 @@ class SQLAdapter(DatabaseAdapter):
"""
with self.engine.connect() as conn:
result = conn.execute(text(query), {
'start_time': start_of_day,
'end_time': end_of_day
})
result = conn.execute(text(query), {"start_time": start_of_day, "end_time": end_of_day})
measurements = []
for row in result:
measurements.append({
'timestamp': row[0],
'station_id': row[1],
'station_code': row[2] or f"Station_{row[1]}",
'station_name_th': row[3] or f"Station {row[1]}",
'water_level': float(row[4]) if row[4] else None,
'discharge': float(row[5]) if row[5] else None,
'discharge_percent': float(row[6]) if row[6] else None,
'status': row[7]
})
measurements.append(
{
"timestamp": row[0],
"station_id": row[1],
"station_code": row[2] or f"Station_{row[1]}",
"station_name_th": row[3] or f"Station {row[1]}",
"water_level": float(row[4]) if row[4] else None,
"discharge": float(row[5]) if row[5] else None,
"discharge_percent": float(row[6]) if row[6] else None,
"status": row[7],
}
)
return measurements
@@ -575,18 +629,19 @@ class SQLAdapter(DatabaseAdapter):
logging.error(f"Error querying {self.db_type.upper()} for date {target_date.date()}: {e}")
return []
# VictoriaMetrics Adapter (using Prometheus format)
class VictoriaMetricsAdapter(DatabaseAdapter):
def __init__(self, host: str = "localhost", port: int = 8428):
self.host = host
self.port = port
# Handle HTTPS URLs and reverse proxy configurations
if host.startswith(('http://', 'https://')):
if host.startswith(("http://", "https://")):
self.base_url = host
if port != 80 and port != 443 and not host.endswith(f':{port}'):
if port != 80 and port != 443 and not host.endswith(f":{port}"):
# Only add port if it's not standard and not already in URL
if '://' in host and ':' not in host.split('://')[1]:
if "://" in host and ":" not in host.split("://")[1]:
self.base_url = f"{host}:{port}"
else:
# Default to HTTP for localhost, HTTPS for remote hosts
@@ -595,15 +650,34 @@ class VictoriaMetricsAdapter(DatabaseAdapter):
self.base_url = f"{protocol}://{host}"
else:
self.base_url = f"{protocol}://{host}:{port}"
@staticmethod
def _escape_label(value) -> str:
"""Escape a Prometheus label value per the exposition format spec.
Station names include arbitrary Thai text (and could be set via the API),
so backslashes, double-quotes and newlines must be escaped to avoid
producing malformed or injected exposition lines.
"""
return str(value).replace("\\", "\\\\").replace('"', '\\"').replace("\n", "\\n")
@staticmethod
def _metric_value(value) -> Optional[float]:
"""Coerce a numeric field to float, or None if it isn't a valid number."""
try:
return float(value)
except (TypeError, ValueError):
return None
def connect(self):
try:
import requests
# Test connection with SSL verification and timeout
response = requests.get(
f"{self.base_url}/api/v1/status/config",
f"{self.base_url}/api/v1/status/config",
timeout=10,
verify=True # Enable SSL verification for HTTPS
verify=True, # Enable SSL verification for HTTPS
)
if response.status_code == 200:
logging.info(f"Connected to VictoriaMetrics successfully at {self.base_url}")
@@ -620,70 +694,70 @@ class VictoriaMetricsAdapter(DatabaseAdapter):
except Exception as e:
logging.error(f"Failed to connect to VictoriaMetrics: {e}")
return False
def save_measurements(self, measurements: List[Dict]) -> bool:
try:
import requests
# Convert to Prometheus format
metrics_data = []
timestamp_ms = int(datetime.datetime.now().timestamp() * 1000)
for measurement in measurements:
# Escape label values once per measurement (untrusted Thai/English names).
labels = (
f'station_code="{self._escape_label(measurement["station_code"])}",'
f'station_name_en="{self._escape_label(measurement["station_name_en"])}",'
f'station_name_th="{self._escape_label(measurement["station_name_th"])}"'
)
# Water level metric
metrics_data.append(
f'water_level{{station_code="{measurement["station_code"]}",'
f'station_name_en="{measurement["station_name_en"]}",'
f'station_name_th="{measurement["station_name_th"]}"}} '
f'{measurement["water_level"]} {timestamp_ms}'
)
water_level = self._metric_value(measurement.get("water_level"))
if water_level is not None:
metrics_data.append(f"water_level{{{labels}}} {water_level} {timestamp_ms}")
# Discharge metric
metrics_data.append(
f'water_discharge{{station_code="{measurement["station_code"]}",'
f'station_name_en="{measurement["station_name_en"]}",'
f'station_name_th="{measurement["station_name_th"]}"}} '
f'{measurement["discharge"]} {timestamp_ms}'
)
discharge = self._metric_value(measurement.get("discharge"))
if discharge is not None:
metrics_data.append(f"water_discharge{{{labels}}} {discharge} {timestamp_ms}")
# Discharge percentage metric
if measurement["discharge_percent"]:
metrics_data.append(
f'water_discharge_percent{{station_code="{measurement["station_code"]}",'
f'station_name_en="{measurement["station_name_en"]}",'
f'station_name_th="{measurement["station_name_th"]}"}} '
f'{measurement["discharge_percent"]} {timestamp_ms}'
)
discharge_percent = self._metric_value(measurement.get("discharge_percent"))
if discharge_percent is not None:
metrics_data.append(f"water_discharge_percent{{{labels}}} {discharge_percent} {timestamp_ms}")
# Send to VictoriaMetrics
data = '\n'.join(metrics_data)
data = "\n".join(metrics_data)
response = requests.post(
f"{self.base_url}/api/v1/import/prometheus",
data=data,
headers={'Content-Type': 'text/plain'},
timeout=30
headers={"Content-Type": "text/plain"},
timeout=30,
)
if response.status_code == 204:
logging.info(f"Successfully sent {len(measurements)} measurements to VictoriaMetrics")
return True
else:
logging.error(f"VictoriaMetrics import failed: {response.status_code} - {response.text}")
return False
except Exception as e:
logging.error(f"Error sending to VictoriaMetrics: {e}")
return False
def get_latest_measurements(self, limit: int = 100) -> List[Dict]:
# VictoriaMetrics queries would be implemented here
# This is a simplified version
logging.warning("get_latest_measurements not fully implemented for VictoriaMetrics")
return []
def get_measurements_by_timerange(self, start_time: datetime.datetime,
end_time: datetime.datetime,
station_codes: Optional[List[str]] = None) -> List[Dict]:
def get_measurements_by_timerange(
self,
start_time: datetime.datetime,
end_time: datetime.datetime,
station_codes: Optional[List[str]] = None,
) -> List[Dict]:
# VictoriaMetrics range queries would be implemented here
logging.warning("get_measurements_by_timerange not fully implemented for VictoriaMetrics")
return []
@@ -693,26 +767,27 @@ class VictoriaMetricsAdapter(DatabaseAdapter):
logging.warning("get_measurements_for_date not fully implemented for VictoriaMetrics")
return []
# Factory function to create appropriate adapter
def create_database_adapter(db_type: str, **kwargs) -> DatabaseAdapter:
"""
Factory function to create database adapter
Args:
db_type: 'influxdb', 'mysql', 'postgresql', 'sqlite', or 'victoriametrics'
**kwargs: Database-specific connection parameters
"""
db_type = db_type.lower()
if db_type == 'influxdb':
if db_type == "influxdb":
return InfluxDBAdapter(**kwargs)
elif db_type == 'mysql':
return SQLAdapter(db_type='mysql', **kwargs)
elif db_type == 'postgresql':
return SQLAdapter(db_type='postgresql', **kwargs)
elif db_type == 'sqlite':
return SQLAdapter(db_type='sqlite', **kwargs)
elif db_type == 'victoriametrics':
elif db_type == "mysql":
return SQLAdapter(db_type="mysql", **kwargs)
elif db_type == "postgresql":
return SQLAdapter(db_type="postgresql", **kwargs)
elif db_type == "sqlite":
return SQLAdapter(db_type="sqlite", **kwargs)
elif db_type == "victoriametrics":
return VictoriaMetricsAdapter(**kwargs)
else:
raise ValueError(f"Unsupported database type: {db_type}")