Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Add sine wave generation based on NumPy (1) #3

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Add sine wave generation based on NumPy (1) #3

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
52 changes: 42 additions & 10 deletions grafana_pandas_datasource.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,8 @@
from flask_cors import CORS, cross_origin

import pandas as pd
import numpy as np


app = Flask(__name__)

Expand Down Expand Up @@ -167,9 +169,14 @@ def _series_to_response(df, target):
@app.route('/query', methods=methods)
@cross_origin(max_age=600)
def query_metrics():
print request
print request.headers, request.get_json()
req = request.get_json()

#req = request.args
print req


results = []

ts_range = {'$gt': pd.Timestamp(req['range']['from']).to_pydatetime(),
Expand Down Expand Up @@ -225,6 +232,8 @@ def get_panel():
print request.headers, request.get_json()
req = request.args

print req

ts_range = {'$gt': pd.Timestamp(int(req['from']), unit='ms').to_pydatetime(),
'$lte': pd.Timestamp(int(req['to']), unit='ms').to_pydatetime()}

Expand All @@ -237,15 +246,38 @@ def get_panel():
return panel_readers[finder](target, ts_range)


if __name__ == '__main__':
# Sample annotation reader : add_annotation_reader('midnights', lambda query_string, ts_range: pd.Series(index=pd.date_range(ts_range['$gt'], ts_range['$lte'], freq='D', normalize=True)).fillna('Text for annotation - midnight'))
# Sample timeseries reader :
# def get_sine(freq, ts_range):
# freq = int(freq)
# ts = pd.date_range(ts_range['$gt'], ts_range['$lte'], freq='H')
# return pd.Series(np.sin(np.arange(len(ts)) * np.pi * freq * 2 / float(len(ts))), index=ts).to_frame('value')
# add_reader('sine_wave', get_sine)
def html_test(target, ts_range):
return """
<!DOCTYPE html>
<html>
<head>
<title>This is HTML content displayed on a Grafana panel</title>
</head>
<body>

# To query the wanted reader, use `<reader_name>:<query_string>`, e.g. 'sine_wave:24'
<h1>Bokeh test</h1>
<p>Passed parameter is %d</p>

app.run(host='0.0.0.0', port=3003, debug=True)
</body>
</html>
""" % (int(target),)



if __name__ == '__main__':
# Sample annotation reader :
add_annotation_reader('midnights', lambda query_string, ts_range: pd.Series(index=pd.date_range(ts_range['$gt'], ts_range['$lte'], freq='D', normalize=True)).fillna('Text for annotation - midnight'))
# Sample timeseries reader :
def get_sine(freq, ts_range):
freq = int(freq)
ts = pd.date_range(ts_range['$gt'], ts_range['$lte'], freq='H')
df = pd.Series(np.sin(np.arange(len(ts)) * np.pi * freq * 2 / float(len(ts))), index=ts).to_frame('value')
print df
return df
add_reader('sine_wave', get_sine)

# To query the wanted reader, use `<reader_name>:<query_string>`, e.g. 'sine_wave:24'

add_panel_reader('html', html_test)

app.run(host='0.0.0.0', port=3003, debug=True)