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from pydruid import client | ||
from pydruid.utils.filters import Dimension | ||
from dateutil.parser import parse | ||
from datetime import datetime, timedelta | ||
from flask import Flask, render_template, request | ||
from flask_bootstrap import Bootstrap | ||
import json | ||
from wtforms import Form, SelectMultipleField, SelectField, TextField | ||
import pandas as pd | ||
pd.set_option('display.max_colwidth', -1) | ||
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ROW_LIMIT = 10000 | ||
PORT = 8088 | ||
query = client.PyDruid("http://10.181.47.80:8080", 'druid/v2') | ||
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app = Flask(__name__) | ||
Bootstrap(app) | ||
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def latest_metadata(datasource): | ||
max_time = query.time_boundary(datasource=datasource)[0]['result']['maxTime'] | ||
max_time = parse(max_time) | ||
intervals = (max_time - timedelta(seconds=1)).isoformat() + '/' | ||
intervals += max_time.isoformat() | ||
return query.segment_metadata( | ||
datasource=datasource, | ||
intervals=intervals)[-1]['columns'] | ||
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@app.route("/datasource/<datasource>/") | ||
def datasource(datasource): | ||
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metadata = latest_metadata(datasource) | ||
grain = ['all', 'none', 'minute', 'hour', 'day'] | ||
since_l = { | ||
'1hour': timedelta(hours=1), | ||
'1day': timedelta(days=1), | ||
'7days': timedelta(days=7), | ||
'28days': timedelta(days=28), | ||
'all': timedelta(days=365*100) | ||
} | ||
limits = [0, 5, 10, 25, 50, 100, 500] | ||
limit = request.args.get("limit") | ||
try: | ||
limit = int(limit) | ||
if limit not in limits: | ||
limits.append(limit) | ||
limits = sorted(limits) | ||
except: | ||
pass | ||
class QueryForm(Form): | ||
groupby = SelectMultipleField( | ||
'Group by', choices=[(m, m) for m in sorted(metadata.keys())]) | ||
granularity = SelectField( | ||
'Granularity', choices=[(g, g) for g in grain]) | ||
since = SelectField( | ||
'Since', choices=[(s, s) for s in since_l.keys()]) | ||
limit = SelectField( | ||
'Limit', choices=[(s, s) for s in limits]) | ||
flt_col_1 = SelectField( | ||
'Filter 1', choices=[(m, m) for m in sorted(metadata.keys())]) | ||
flt_op_1 = SelectField( | ||
'Filter 1', choices=[(m, m) for m in ['==', 'in', '<', '>']]) | ||
flt_eq_1 = TextField("Super") | ||
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groupby = request.args.getlist("groupby") or [] | ||
granularity = request.args.get("granularity") | ||
limit = int(request.args.get("limit", ROW_LIMIT)) or ROW_LIMIT | ||
since = request.args.get("since", "all") | ||
from_dttm = (datetime.now() - since_l[since]).isoformat() | ||
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# Building filters | ||
i = 1 | ||
filters = [] | ||
while True: | ||
col = request.args.get("flt_col_" + str(i)) | ||
op = request.args.get("flt_op_" + str(i)) | ||
eq = request.args.get("flt_eq_" + str(i)) | ||
print (col,op,eq) | ||
if col and op and eq: | ||
filters.append(Dimension(col)==eq) | ||
filters = Dimension(col)==eq | ||
else: | ||
break | ||
i += 1 | ||
print filters | ||
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results=[] | ||
results = query.groupby( | ||
datasource=datasource, | ||
granularity=granularity or 'all', | ||
intervals=from_dttm + '/' + datetime.now().isoformat(), | ||
dimensions=groupby, | ||
aggregations={"count": client.doublesum("count")}, | ||
filter=filters, | ||
limit_spec={ | ||
"type": "default", | ||
"limit": limit, | ||
"columns": [{ | ||
"dimension" : "count", | ||
"direction" : "descending", | ||
},], | ||
}, | ||
) | ||
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df = query.export_pandas() | ||
if df is not None and not df.empty: | ||
df = df.sort(df.columns[0], ascending=False) | ||
if granularity == 'all': | ||
del df['timestamp'] | ||
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table = df.to_html( | ||
classes=["table", "table-striped", 'table-bordered'], index=False) | ||
else: | ||
table = None | ||
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return render_template( | ||
'panoramix/datasource.html', | ||
table=table, | ||
datasource=datasource, | ||
latest_metadata=json.dumps( | ||
metadata, | ||
sort_keys=True, | ||
indent=2), | ||
results=json.dumps( | ||
results, | ||
sort_keys=True, | ||
indent=2), | ||
form=QueryForm(request.args), | ||
) | ||
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if __name__ == '__main__': | ||
app.debug = True | ||
app.run(host='0.0.0.0', port=PORT) |
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pydruid | ||
python-dateutil | ||
flask | ||
pandas | ||
wtforms | ||
flask-bootstrap |
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