import numpy as np
import os
from telemanom._globals import Config
import logging
from datetime import datetime
import sys
import csv
import pandas as pd
import plotly as py
from plotly.offline import download_plotlyjs, init_notebook_mode
import cufflinks as cf
import glob
config = Config("config.yaml")
def make_dirs(_id):
'''Create directories for storing data in repo (using datetime ID) if they don't already exist'''
if not config.train or not config.predict:
if not os.path.isdir('data/%s' %config.use_id):
raise ValueError("Run ID %s is not valid. If loading prior models or predictions, must provide valid ID.")
paths = ['data', 'data/%s' %_id, 'data/%s/models' %_id, 'data/%s/smoothed_errors' %_id, 'data/%s/y_hat' %_id]
for p in paths:
if not os.path.isdir(p):
os.mkdir(p)
def setup_logging(config, _id):
sys.path.insert(0, '..')
# sys.path.insert(0, '/home/mike/Downloads/telemanom')
from telemanom._globals import Config
# sys.path.remove('/home/mike/Downloads/telemanom')
# sys.path.insert(0, '/home/mike/Downloads/telemanom/telemanom')
import telemanom.helpers as helpers
import pandas as pd
import plotly as py
from plotly.offline import download_plotlyjs, init_notebook_mode
import cufflinks as cf
import glob
cf.go_offline()
init_notebook_mode(connected=True)
# load in current system configs
config = Config("../config.yaml")
# %%
%%javascript
IPython.OutputArea.prototype._should_scroll = function(lines) {
return false;
}
# %% markdown
# ## Select set of results to visualize
# %%
# results_fn = '2018-05-18_16.17.03.csv'
# print("Prior run: %s" %results_fn)
# Default to most recent
results_fn = glob.glob('*.csv')[-1]
print("Using most recent run: %s" %results_fn)
# %% markdown