get alco prediction and table working
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This commit is contained in:
Andrew Ridgway 2024-09-16 02:22:42 +00:00
parent d4c1c76be4
commit 436836d4ac
5 changed files with 43 additions and 16 deletions

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@ -8,3 +8,4 @@ bootstrap-flask
waitress
bokeh
pandas
duckdb

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@ -1,6 +1,7 @@
from bokeh.core.enums import SpatialUnitsType
import mongo.build_db as beer_database
import mongo.query_db as beer_database_query
from table import table_builder
from flask import Flask, render_template, request, jsonify, redirect, session
from flask_wtf import FlaskForm, CSRFProtect
@ -14,6 +15,7 @@ from charts import BeerCharts
from bokeh.io import output_file, show
from bokeh.layouts import row
app = Flask(__name__)
app.secret_key = 'testsecret' #this value will change
@ -62,11 +64,16 @@ def index():
def updater():
if 'logged_in' not in session:
return redirect("/")
#create_graphs()
predicted_alc_table = table_builder.TableBuilder().table_build()
tr_replace_string = '<tr align="center" style="border-bottom:1pt solid black;">'
beer_html = predicted_alc_table.to_html(col_space='75px', index=False,
justify='center', border=3).replace('<tr>', tr_replace_string)
query_db = beer_database_query.pool_query()
query = query_db.get_top(10, "sg")
form = dataForm()
if form.validate_on_submit():
database = beer_database.beer_data()
new_record = {
@ -91,9 +98,11 @@ def updater():
database.create_re_record(new_record["beer_run_id"], new_record["beer_type"], new_record["sg"],
new_record["date"], final_run_value, new_record["comment"])
return render_template("updater.html", list=query, form=form, success=True, updater_name = "Saucy Beer Maker")
return render_template("updater.html", beer_data = beer_html
, list=query, form=form, success=True, updater_name = "Saucy Beer Maker")
else:
return render_template("updater.html", list=query, form=form, sucess=False)
return render_template("updater.html", beer_data = beer_html
, list=query, form=form, sucess=False)
# @app.route("/update_db", methods=["POST"])
# def beer_data_update():

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@ -2,12 +2,13 @@ import sys
from mongo.get_conn import db_conn
import pandas as pd
import duckdb
class TableBuilder():
def __init__(self) -> None:
self.db = db_conn()
def table_build(self, field, read_count=3, runs=5) -> pd.DataFrame:
def table_build(self, limit=10) -> pd.DataFrame:
data = self.db.beer_db
data = data.find({}).sort("date", -1)
df_dict = {}
@ -21,9 +22,28 @@ class TableBuilder():
df_dict["sg"].append(record["sg"])
df_dict["date"].append(record["date"])
df_dict["final_reading"].append(record["final_reading"])
df = pd.DataFrame(data=df_dict)
df_sum = df.groupby('beer_run_id').agg({'sg': ['max', 'min']})
return df_sum
sql = f"""
SELECT x.beer_run_id as "Beer Run",
max(sg) as "Max",
min(sg) as "Min"
FROM df x
JOIN
( SELECT DISTINCT beer_run_id
FROM df
WHERE final_reading = 'True'
) y ON x.beer_run_id = y.beer_run_id
GROUP BY x.beer_run_id
ORDER BY x.beer_run_id desc
LIMIT {limit}
"""
df_sum = duckdb.sql(sql).df()
sql = f"""
SELECT *,
ROUND(((CAST (max AS INTEGER) - CAST(min AS INTEGER)) / 7.36) + 0.5, 2) AS "Alcohol Prediction"
FROM df_sum
"""
df_calc = duckdb.sql(sql).df()
return df_calc

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@ -46,18 +46,15 @@
</div>
</div>
</td> -->
<td>
<div class="container">
<div class= "col-xs-12 col-sm-12 col-md-12">
<!--<iframe style="width: 100vw; height: 40vh;" src="static/data_plot.html" frameborder="0" allowfullscreen>
<!--<iframe style="width: 100vw; height: 40vh;" src="static/data_plot.html" frameborder="0" allowfullscreen>
<!--<iframe style="width: 100vw;height: 80vh;position: relative;" src="static/data_plot.html" frameborder="0" allowfullscreen>-->
</iframe>
</div>
</div>
</td>
</tr>
</table>
</div>
<div class="col-md-6">
{{ beer_data | safe }}
</div>
</div>
</div>
</div>

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@ -2,4 +2,4 @@ import table.table_builder as table_builder
test = table_builder.TableBuilder()
print(test.table_build("sg"))
print(test.table_build())