Module aws_lambda_powertools.utilities.parser.models.cloudwatch
Expand source code
import base64
import json
import logging
import zlib
from datetime import datetime
from typing import List
from pydantic import BaseModel, Field, validator
logger = logging.getLogger(__name__)
class CloudWatchLogsLogEvent(BaseModel):
id: str # noqa AA03 VNE003
timestamp: datetime
message: str
class CloudWatchLogsDecode(BaseModel):
messageType: str
owner: str
logGroup: str
logStream: str
subscriptionFilters: List[str]
logEvents: List[CloudWatchLogsLogEvent]
class CloudWatchLogsData(BaseModel):
decoded_data: CloudWatchLogsDecode = Field(None, alias="data")
@validator("decoded_data", pre=True)
def prepare_data(cls, value):
try:
logger.debug("Decoding base64 cloudwatch log data before parsing")
payload = base64.b64decode(value)
logger.debug("Decompressing cloudwatch log data before parsing")
uncompressed = zlib.decompress(payload, zlib.MAX_WBITS | 32)
return json.loads(uncompressed.decode("utf-8"))
except Exception:
raise ValueError("unable to decompress data")
class CloudWatchLogsModel(BaseModel):
awslogs: CloudWatchLogsData
Classes
class CloudWatchLogsData (**data: Any)
-
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
Expand source code
class CloudWatchLogsData(BaseModel): decoded_data: CloudWatchLogsDecode = Field(None, alias="data") @validator("decoded_data", pre=True) def prepare_data(cls, value): try: logger.debug("Decoding base64 cloudwatch log data before parsing") payload = base64.b64decode(value) logger.debug("Decompressing cloudwatch log data before parsing") uncompressed = zlib.decompress(payload, zlib.MAX_WBITS | 32) return json.loads(uncompressed.decode("utf-8")) except Exception: raise ValueError("unable to decompress data")
Ancestors
- pydantic.main.BaseModel
- pydantic.utils.Representation
Class variables
var decoded_data : CloudWatchLogsDecode
Static methods
def prepare_data(value)
-
Expand source code
@validator("decoded_data", pre=True) def prepare_data(cls, value): try: logger.debug("Decoding base64 cloudwatch log data before parsing") payload = base64.b64decode(value) logger.debug("Decompressing cloudwatch log data before parsing") uncompressed = zlib.decompress(payload, zlib.MAX_WBITS | 32) return json.loads(uncompressed.decode("utf-8")) except Exception: raise ValueError("unable to decompress data")
class CloudWatchLogsDecode (**data: Any)
-
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
Expand source code
class CloudWatchLogsDecode(BaseModel): messageType: str owner: str logGroup: str logStream: str subscriptionFilters: List[str] logEvents: List[CloudWatchLogsLogEvent]
Ancestors
- pydantic.main.BaseModel
- pydantic.utils.Representation
Class variables
var logEvents : List[CloudWatchLogsLogEvent]
var logGroup : str
var logStream : str
var messageType : str
var owner : str
var subscriptionFilters : List[str]
class CloudWatchLogsLogEvent (**data: Any)
-
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
Expand source code
class CloudWatchLogsLogEvent(BaseModel): id: str # noqa AA03 VNE003 timestamp: datetime message: str
Ancestors
- pydantic.main.BaseModel
- pydantic.utils.Representation
Class variables
var id : str
var message : str
var timestamp : datetime.datetime
class CloudWatchLogsModel (**data: Any)
-
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
Expand source code
class CloudWatchLogsModel(BaseModel): awslogs: CloudWatchLogsData
Ancestors
- pydantic.main.BaseModel
- pydantic.utils.Representation
Class variables
var awslogs : CloudWatchLogsData