)
import json
+import yaml
import sys
import inspect
import pydoc
+import csv
from django.contrib.auth.models import User
from booking.quick_deployer import update_template
-from datetime import timedelta
-
-from django.utils import timezone
+from datetime import timedelta, date, datetime, timezone
from booking.models import Booking
from notifier.manager import NotificationHandler
return info
+class CumulativeData:
+ use_days = 0
+ count_bookings = 0
+ count_extensions = 0
+
+ def __init__(self, file_writer):
+ self.file_writer = file_writer
+
+ def account(self, booking, usage_days):
+ self.count_bookings += 1
+ self.count_extensions += booking.ext_count
+ self.use_days += usage_days
+
+ def write_cumulative(self):
+ self.file_writer.writerow([])
+ self.file_writer.writerow([])
+ self.file_writer.writerow(['Lab Use Days', 'Count of Bookings', 'Total Extensions Used'])
+ self.file_writer.writerow([self.use_days, self.count_bookings, (self.count_bookings * 2) - self.count_extensions])
+
+
+def get_years_booking_data(start_year=None, end_year=None):
+ """
+ Outputs yearly booking information from the past 'start_year' years (default: current year)
+ until the last day of the end year (default current year) as a csv file.
+ """
+ if start_year is None and end_year is None:
+ start = datetime.combine(date(datetime.now().year, 1, 1), datetime.min.time()).replace(tzinfo=timezone.utc)
+ end = datetime.combine(date(start.year + 1, 1, 1), datetime.min.time()).replace(tzinfo=timezone.utc)
+ elif end_year is None:
+ start = datetime.combine(date(start_year, 1, 1), datetime.min.time()).replace(tzinfo=timezone.utc)
+ end = datetime.combine(date(datetime.now().year, 1, 1), datetime.min.time()).replace(tzinfo=timezone.utc)
+ else:
+ start = datetime.combine(date(start_year, 1, 1), datetime.min.time()).replace(tzinfo=timezone.utc)
+ end = datetime.combine(date(end_year + 1, 1, 1), datetime.min.time()).replace(tzinfo=timezone.utc)
+
+ if (start.year == end.year - 1):
+ file_name = "yearly_booking_data_" + str(start.year) + ".csv"
+ else:
+ file_name = "yearly_booking_data_" + str(start.year) + "-" + str(end.year - 1) + ".csv"
+
+ with open(file_name, "w", newline="") as file:
+ file_writer = csv.writer(file)
+ cumulative_data = CumulativeData(file_writer)
+ file_writer.writerow(
+ [
+ 'ID',
+ 'Project',
+ 'Purpose',
+ 'User',
+ 'Collaborators',
+ 'Extensions Left',
+ 'Usage Days',
+ 'Start',
+ 'End'
+ ]
+ )
+
+ for booking in Booking.objects.filter(start__gte=start, start__lte=end):
+ filtered = False
+ booking_filter = [279]
+ user_filter = ["ParkerBerberian", "ssmith", "ahassick", "sbergeron", "jhodgdon", "rhodgdon", "aburch", "jspewock"]
+ user = booking.owner.username if booking.owner.username is not None else "None"
+
+ for b in booking_filter:
+ if b == booking.id:
+ filtered = True
+
+ for u in user_filter:
+ if u == user:
+ filtered = True
+ # trims time delta to the the specified year(s) if between years
+ usage_days = ((end if booking.end > end else booking.end) - (start if booking.start < start else booking.start)).days
+ collaborators = []
+
+ for c in booking.collaborators.all():
+ collaborators.append(c.username)
+
+ if (not filtered):
+ cumulative_data.account(booking, usage_days)
+ file_writer.writerow([
+ str(booking.id),
+ str(booking.project),
+ str(booking.purpose),
+ str(booking.owner.username),
+ ','.join(collaborators),
+ str(booking.ext_count),
+ str(usage_days),
+ str(booking.start),
+ str(booking.end)
+ ])
+ cumulative_data.write_cumulative()
+
+
def map_cntt_interfaces(labid: str):
"""
Use this during cntt migrations, call it with a host labid and it will change profiles for this host
print(json.dumps(a_dict, sort_keys=True, indent=4))
+def import_host(filenames):
+ """
+ Imports host from an array of converted inspection files and if needed creates a new profile for the host.
+ NOTE: CONVERT INSPECTION FILES USING convert_inspect_results(["file", "file"])
+ (original file names not including "-import.yaml" i.e. hpe44) AND FILL IN <NEEDED FIELDS> BEFORE THIS
+ @filenames: array of host import file names to import
+ """
+
+ for filename in filenames:
+
+ # open import file
+ file = open("dashboard/" + filename + "-import.yaml", "r")
+ data = yaml.safe_load(file)
+
+ # if a new profile is needed create one and a matching template
+ if (data["new_profile"]):
+ add_profile(data)
+ print("Profile: " + data["name"] + " created!")
+ make_default_template(
+ ResourceProfile.objects.get(name=data["name"]),
+ Image.objects.get(lab_id=data["image"]).id,
+ None,
+ None,
+ False,
+ False,
+ data["owner"],
+ "unh_iol",
+ True,
+ False,
+ data["temp_desc"]
+ )
+
+ print(" Template: " + data["temp_name"] + " created!")
+
+ # add the server
+ add_server(
+ ResourceProfile.objects.get(name=data["name"]),
+ data["hostname"],
+ data["interfaces"],
+ data["lab"],
+ data["vendor"],
+ data["model"]
+ )
+
+ print(data["hostname"] + " imported!")
+
+
+def convert_inspect_results(files):
+ """
+ Converts an array of inspection result files into templates (filename-import.yaml) to be filled out for importing the servers into the dashboard
+ @files an array of file names (not including the file type. i.e hpe44). Default: []
+ """
+ for filename in files:
+ # open host inspect file
+ file = open("dashboard/" + filename + ".yaml")
+ output = open("dashboard/" + filename + "-import.yaml", "w")
+ data = json.load(file)
+
+ # gather data about disks
+ disk_data = {}
+ for i in data["disk"]:
+
+ # don't include loops in disks
+ if "loop" not in i:
+ disk_data[i["name"]] = {
+ "capacity": i["size"][:-3],
+ "media_type": "<\"SSD\" or \"HDD\">",
+ "interface": "<\"sata\", \"sas\", \"ssd\", \"nvme\", \"scsi\", or \"iscsi\">",
+ }
+
+ # gather interface data
+ interface_data = {}
+ for i in data["interfaces"]:
+ interface_data[data["interfaces"][i]["name"]] = {
+ "speed": data["interfaces"][i]["speed"],
+ "nic_type": "<\"onboard\" or \"pcie\">",
+ "order": "<order in switch>",
+ "mac_address": data["interfaces"][i]["mac"],
+ "bus_addr": data["interfaces"][i]["busaddr"],
+ }
+
+ # gather cpu data
+ cpu_data = {
+ "cores": data["cpu"]["cores"],
+ "architecture": data["cpu"]["arch"],
+ "cpus": data["cpu"]["cpus"],
+ "cflags": "<cflags string>",
+ }
+
+ # gather ram data
+ ram_data = {
+ "amount": data["memory"][:-1],
+ "channels": "<int of ram channels used>",
+ }
+
+ # assemble data for host import file
+ import_data = {
+ "new_profile": "<True or False> (Set to True to create a new profile for the host's type)",
+ "name": "<profile name> (Used to set the profile of a host and for creating a new profile)",
+ "description": "<profile description>",
+ "labs": "<labs using profile>",
+ "temp_name": "<Template name>",
+ "temp_desc": "<template description>",
+ "image": "<image lab_id>",
+ "owner": "<template owner>",
+ "hostname": data["hostname"],
+ "lab": "<lab server is in> (i.e. \"unh_iol\")",
+ "disks": disk_data,
+ "interfaces": interface_data,
+ "cpus": cpu_data,
+ "ram": ram_data,
+ "vendor": "<host vendor>",
+ "model": "<host model>",
+ }
+
+ # export data as yaml
+ yaml.dump(import_data, output)
+
+
def add_profile(data):
"""
Used for adding a host profile to the dashboard
Code Review / laas.git / blobdiff