changes to ekko report

This commit is contained in:
Nico Melone
2024-12-10 17:48:49 -06:00
parent bf9e80393a
commit 3db3225bf9
12 changed files with 3888 additions and 299 deletions

View File

@@ -5,7 +5,7 @@
],
"customers": {
"ec691940-52e2-11ec-a919-556e8dbef35c": {
"name": "CrownQuest",
"name": "OxyRock",
"deviceTypes": [
{
"deviceType": "rigpump",
@@ -17,18 +17,27 @@
{
"deviceType": "cqwatertanks",
"dataPoints": [
"fm_1_flow_rate"
"fm_1_flow_rate",
"tank_1_level"
]
}
]
},
"81083430-6988-11ec-a919-556e8dbef35c": {
"name": "Henry-Petroleum",
"deviceTypes": [
},
{
"deviceType": "abbflow",
"deviceType": "piflow",
"dataPoints": [
"accumulated_volume"
"avgFrequency30Days",
"percentRunTime30Days",
"yesterday_totalizer_1",
"totalizer_1"
]
},
{
"deviceType": "advvfdipp",
"dataPoints": [
"flowtotalyesterday",
"fluidlevel",
"energytotalyesterday",
"avgFrequency30Days",
"percentRunTime30Days"
]
}
]
@@ -36,7 +45,7 @@
},
"filterDevicesIn": [],
"filterDevicesOut": [],
"name": "CrownQuest-Daily-Report"
"name": "OxyRock-Daily-Report"
},
{
"emails": [

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@@ -0,0 +1,2 @@
DOCKER_HOST=unix:///Users/nico/.docker/run/docker.sock sam build --use-container
DOCKER_HOST=unix:///Users/nico/.docker/run/docker.sock sam local invoke

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@@ -5,38 +5,70 @@
],
"customers": {
"ec691940-52e2-11ec-a919-556e8dbef35c": {
"name": "CrownQuest",
"name": "OxyRock",
"deviceTypes": [
{
"deviceType": "rigpump",
"dataPoints": [
"vfd_current",
"vfd_frequency"
]
],
"labels":{
"vfd_current": "VFD Current",
"vfd_frequency": "VFD Frequency"
}
},
{
"deviceType": "cqwatertanks",
"dataPoints": [
"fm_1_flow_rate"
]
}
]
},
"81083430-6988-11ec-a919-556e8dbef35c": {
"name": "Henry-Petroleum",
"deviceTypes": [
"fm_1_flow_rate",
"tank_1_level",
"tank_2_level"
],
"labels":{
"fm_1_flow_rate": "Flow Meter 1 Flow Rate",
"tank_1_level": "Tank 1 Level",
"tank_2_level": "Tank 2 Level"
}
},
{
"deviceType": "abbflow",
"deviceType": "piflow",
"dataPoints": [
"accumulated_volume"
]
"avgFrequency30Days",
"percentRunTime30Days",
"yesterday_totalizer_1",
"totalizer_1"
],
"labels":{
"avgFrequency30Days": "Avg. Frequency 30 Days",
"percentRunTime30Days": "Run Time 30 Days %",
"yesterday_totalizer_1": "Yesterday's Volume",
"totalizer_1": "Totalizer 1"
}
},
{
"deviceType": "advvfdipp",
"dataPoints": [
"flowtotalyesterday",
"fluidlevel",
"energytotalyesterday",
"avgFrequency30Days",
"percentRunTime30Days"
],
"labels":{
"flowtotalyesterday": "Yesterday's Volume",
"fluidlevel": "Fluid Level",
"energytotalyesterday": "Yesterday's Energy",
"avgFrequency30Days": "Avg. Frequency 30 Days",
"percentRunTime30Days": "Run Time 30 Days %"
}
}
]
}
},
"filterDevicesIn": [],
"filterDevicesOut": [],
"name": "CrownQuest-Daily-Report"
"name": "OxyRock-Daily-Report"
},
{
"emails": [
@@ -50,7 +82,10 @@
"deviceType": "abbflow",
"dataPoints": [
"accumulated_volume"
]
],
"labels":{
"accumulated_volume": "Accumulated Volume"
}
}
]
}

View File

@@ -1,79 +1,137 @@
from tb_rest_client.rest_client_pe import *
from tb_rest_client.rest import ApiException
import json, xlsxwriter, boto3, os
import json, xlsxwriter, boto3, os, time
from threading import Lock
from datetime import datetime as dt
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email import encoders
from email.mime.base import MIMEBase
# Define a rate limiter class
class RateLimiter:
def __init__(self, max_calls, period):
self.max_calls = max_calls
self.period = period
self.call_times = []
self.lock = Lock()
def acquire(self):
with self.lock:
current_time = time.time()
# Remove expired calls
self.call_times = [t for t in self.call_times if t > current_time - self.period]
if len(self.call_times) >= self.max_calls:
# Wait for the oldest call to expire
time_to_wait = self.period - (current_time - self.call_times[0])
time.sleep(time_to_wait)
# Register the current call
self.call_times.append(time.time())
# Initialize a rate limiter
rate_limiter = RateLimiter(max_calls=10, period=1) # Adjust `max_calls` and `period` as needed
def sort_dict_keys(d):
"""Sorts the keys of all nested dictionaries in a given dictionary.
Args:
d: The input dictionary.
Returns:
A new dictionary with sorted keys at each level.
"""
sorted_d = {}
for k, v in d.items():
if isinstance(v, dict):
sorted_d[k] = sort_dict_keys(v)
else:
sorted_d[k] = v
return dict(sorted(sorted_d.items()))
def lambda_handler(event, context):
#Creating Rest Client for ThingsBoard
# Creating Rest Client for ThingsBoard
with RestClientPE(base_url="https://hp.henrypump.cloud") as rest_client:
try:
rest_client.login(username=os.environ["username"], password=os.environ["password"])
#Loading Config from file
# Loading Config from file
with open("./config.json") as f:
config = json.load(f)
reportData = {}
reportToList = {}
#Loop through each item in config, each item represents a report
# Loop through each item in config, each item represents a report
for report in config:
reportToList[report["name"]] = report["emails"]
#Each customer becomes it's own xlsx file later
for customer in report["customers"].keys():
#Get all the devices for a given customer
devices = rest_client.get_customer_devices(customer_id=customer, page=0, page_size=100)
#Filter devices to the desired devices
# Apply rate limiting for API calls
rate_limiter.acquire()
devices = rest_client.get_customer_devices(customer_id=customer, page=0, page_size=1000)
if report["filterDevicesIn"]:
devices.data = [device for device in devices.data if device.id.id in report["filterDevicesIn"]]
if report["filterDevicesOut"]:
devices.data = [device for device in devices.data if device.id.id not in report["filterDevicesOut"]]
#Create the report in reportData if needed
if not reportData.get(report["name"], None):
reportData[report["name"]] = {}
#Go through all the devices and add them and their desired data to reportData
for device in devices.data:
name = device.name
keys = rest_client.get_timeseries_keys_v1(device.id)
#Filter keys to desired keys
for deviceType in report["customers"][customer]["deviceTypes"]:
if device.type == deviceType["deviceType"]:
rate_limiter.acquire()
keys = rest_client.get_timeseries_keys_v1(device.id)
keys = list(filter(lambda x: x in deviceType["dataPoints"], keys))
#Create customer if needed
#Check for report customer
if not reportData[report["name"]].get(report["customers"][customer]["name"], None):
reportData[report["name"]][report["customers"][customer]["name"]] = {}
#Check to make sure the deviceType is desired in the report for the given device
#Check for device type in config
if device.type in list(map(lambda x: x["deviceType"], report["customers"][customer]["deviceTypes"])):
#Create deviceType if needed
#Check if deviceType in report
if not reportData[report["name"]][report["customers"][customer]["name"]].get(device.type, None):
reportData[report["name"]][report["customers"][customer]["name"]][device.type] = {}
reportData[report["name"]][report["customers"][customer]["name"]][device.type][device.name] = rest_client.get_latest_timeseries(entity_id=device.id , keys=",".join(keys))
if keys:
rate_limiter.acquire()
deviceData = rest_client.get_latest_timeseries(entity_id=device.id, keys=",".join(keys))
for x in report["customers"][customer]["deviceTypes"]:
if x["deviceType"] == device.type:
labels = x["labels"]
labelled_data = {}
for k,v in labels.items():
labelled_data[v] = {}
for k,v in deviceData.items():
labelled_data[labels[k]] = v
reportData[report["name"]][report["customers"][customer]["name"]][device.type][device.name] = labelled_data
else:
reportData[report["name"]][report["customers"][customer]["name"]][device.type][device.name] = {}
#Sort Data
reportDataSorted = sort_dict_keys(reportData)
#print(json.dumps(reportDataSorted,indent=4))
except ApiException as e:
print(e)
print(f"API Exception: {e}")
except Exception as e:
print(f"Other Exception in getting data:\n{e}")
# Create an AWS SES client
ses_client = boto3.client('ses', region_name='us-east-1')
s3 = boto3.resource('s3')
BUCKET_NAME = "thingsboard-email-reports"
# Create a workbook for each report
for report_name, report_data in reportData.items():
for report_name, report_data in reportDataSorted.items():
#will generate an email lower down
spreadsheets = []
# Create a worksheet for each company
for company_name, company_data in report_data.items():
workbook = xlsxwriter.Workbook(f"/tmp/{report_name}-{company_name}-{dt.today().strftime('%Y-%m-%d')}.xlsx")
workbook = xlsxwriter.Workbook(f"/tmp/{report_name}-{company_name}-{dt.today().strftime('%Y-%m-%d')}.xlsx",{'strings_to_numbers': True})
bold = workbook.add_format({'bold': True})
# Create a sheet for each device type
for device_type, device_data in company_data.items():
worksheet = workbook.add_worksheet(device_type)
# Set the header row with device types
device_types = list(device_data.keys())
worksheet.write_column(1, 0, device_types,bold)
# Set the header column with device types
device_names = list(device_data.keys())
worksheet.write_column(1, 0, device_names,bold)
# Write the data to the sheet
for i, (telemetry_name, telemetry_data) in enumerate(device_data.items()):
# Set the header row with telemetry names
@@ -82,9 +140,12 @@ def lambda_handler(event, context):
for j, (data_name, data) in enumerate(telemetry_data.items()):
values = [d["value"] for d in data]
worksheet.write_row(i + 1, j+ 1, values)
worksheet.autofit()
worksheet.autofit()
workbook.close()
spreadsheets.append(workbook)
# Store the generated report in S3.
s3.Object(BUCKET_NAME, f'{report_name}-{company_name}-{dt.today().strftime('%Y-%m-%d')}.xlsx').put(Body=open(f"/tmp/{report_name}-{company_name}-{dt.today().strftime('%Y-%m-%d')}.xlsx", 'rb'))
# Create an email message
msg = MIMEMultipart()
msg['Subject'] = report_name
@@ -104,7 +165,6 @@ def lambda_handler(event, context):
attachment.add_header('Content-Disposition', 'attachment', filename=spreadsheet.filename[5:])
msg.attach(attachment)
# Send the email using AWS SES
response = ses_client.send_raw_email(

View File

@@ -19,12 +19,22 @@ Resources:
Variables:
username: henry.pump.automation@gmail.com
password: Henry Pump @ 2022
TBREPORTBUCKET_BUCKET_NAME: !Ref TBReportBucket
TBREPORTBUCKET_BUCKET_ARN: !GetAtt TBReportBucket.Arn
Architectures:
- arm64
CodeUri: tbreport
Runtime: python3.12
Handler: tbreport.lambda_handler
Policies: AmazonSESFullAccess
Policies:
- AmazonSESFullAccess
- Statement:
- Effect: Allow
Action:
- s3:PutObject
Resource:
- !Sub arn:${AWS::Partition}:s3:::${TBReportBucket}
- !Sub arn:${AWS::Partition}:s3:::${TBReportBucket}/*
Layers:
- !Ref TBReportLayer
TBReportLayer:
@@ -65,4 +75,33 @@ Resources:
Statement:
- Effect: Allow
Action: lambda:InvokeFunction
Resource: !GetAtt TBReport.Arn
Resource: !GetAtt TBReport.Arn
TBReportBucket:
Type: AWS::S3::Bucket
Properties:
BucketName: !Sub thingsboard-email-reports
BucketEncryption:
ServerSideEncryptionConfiguration:
- ServerSideEncryptionByDefault:
SSEAlgorithm: aws:kms
KMSMasterKeyID: alias/aws/s3
PublicAccessBlockConfiguration:
IgnorePublicAcls: true
RestrictPublicBuckets: true
TBReportBucketBucketPolicy:
Type: AWS::S3::BucketPolicy
Properties:
Bucket: !Ref TBReportBucket
PolicyDocument:
Id: RequireEncryptionInTransit
Version: '2012-10-17'
Statement:
- Principal: '*'
Action: '*'
Effect: Deny
Resource:
- !GetAtt TBReportBucket.Arn
- !Sub ${TBReportBucket.Arn}/*
Condition:
Bool:
aws:SecureTransport: 'false'