Merge in dev to Master #1
@ -7,3 +7,4 @@ Flask-WTF
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bootstrap-flask
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waitress
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bokeh
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pandas
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@ -62,7 +62,7 @@ def index():
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def updater():
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if 'logged_in' not in session:
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return redirect("/")
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create_graphs()
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#create_graphs()
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query_db = beer_database_query.pool_query()
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query = query_db.get_top(10, "sg")
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form = dataForm()
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@ -1,61 +0,0 @@
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="utf-8">
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<title>Bokeh Plot</title>
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<style>
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html, body {
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box-sizing: border-box;
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display: flow-root;
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height: 100%;
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margin: 0;
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padding: 0;
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}
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</style>
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<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-3.5.0.min.js"></script>
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<script type="text/javascript">
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Bokeh.set_log_level("info");
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</script>
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</head>
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<body>
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<div id="bb5c0e1d-dc95-4d96-9cbc-a29ed2eade5c" data-root-id="p1001" style="display: contents;"></div>
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<script type="application/json" id="af8187ed-c6d3-40c3-84a3-bbe58799b466">
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{"00bec54e-f52e-4b7f-b2b6-8e6e4eb73c82":{"version":"3.5.0","title":"Bokeh Application","roots":[{"type":"object","name":"Figure","id":"p1001","attributes":{"height":250,"x_range":{"type":"object","name":"FactorRange","id":"p1011","attributes":{"factors":["2024-03-27","2024-03-25","2024-03-15","2024-03-13"]}},"y_range":{"type":"object","name":"DataRange1d","id":"p1003","attributes":{"start":6}},"x_scale":{"type":"object","name":"CategoricalScale","id":"p1012"},"y_scale":{"type":"object","name":"LinearScale","id":"p1013"},"title":{"type":"object","name":"Title","id":"p1004","attributes":{"text":"Pool data"}},"renderers":[{"type":"object","name":"GlyphRenderer","id":"p1030","attributes":{"data_source":{"type":"object","name":"ColumnDataSource","id":"p1024","attributes":{"selected":{"type":"object","name":"Selection","id":"p1025","attributes":{"indices":[],"line_indices":[]}},"selection_policy":{"type":"object","name":"UnionRenderers","id":"p1026"},"data":{"type":"map","entries":[["x",["2024-03-27","2024-03-25","2024-03-15","2024-03-13"]],["y",[7.25,7.5,7.6,7.0]]]}}},"view":{"type":"object","name":"CDSView","id":"p1031","attributes":{"filter":{"type":"object","name":"AllIndices","id":"p1032"}}},"glyph":{"type":"object","name":"Line","id":"p1027","attributes":{"x":{"type":"field","field":"x"},"y":{"type":"field","field":"y"},"line_color":"#1f77b4"}},"nonselection_glyph":{"type":"object","name":"Line","id":"p1028","attributes":{"x":{"type":"field","field":"x"},"y":{"type":"field","field":"y"},"line_color":"#1f77b4","line_alpha":0.1}},"muted_glyph":{"type":"object","name":"Line","id":"p1029","attributes":{"x":{"type":"field","field":"x"},"y":{"type":"field","field":"y"},"line_color":"#1f77b4","line_alpha":0.2}}}}],"toolbar":{"type":"object","name":"Toolbar","id":"p1010"},"toolbar_location":null,"left":[{"type":"object","name":"LinearAxis","id":"p1019","attributes":{"ticker":{"type":"object","name":"BasicTicker","id":"p1020","attributes":{"mantissas":[1,2,5]}},"formatter":{"type":"object","name":"BasicTickFormatter","id":"p1021"},"major_label_policy":{"type":"object","name":"AllLabels","id":"p1022"}}}],"below":[{"type":"object","name":"CategoricalAxis","id":"p1014","attributes":{"ticker":{"type":"object","name":"CategoricalTicker","id":"p1015"},"formatter":{"type":"object","name":"CategoricalTickFormatter","id":"p1016"},"major_label_policy":{"type":"object","name":"AllLabels","id":"p1017"}}}],"center":[{"type":"object","name":"Grid","id":"p1018","attributes":{"axis":{"id":"p1014"},"grid_line_color":null}},{"type":"object","name":"Grid","id":"p1023","attributes":{"dimension":1,"axis":{"id":"p1019"}}}]}}]}}
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</script>
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<script type="text/javascript">
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(function() {
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const fn = function() {
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Bokeh.safely(function() {
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(function(root) {
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function embed_document(root) {
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const docs_json = document.getElementById('af8187ed-c6d3-40c3-84a3-bbe58799b466').textContent;
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const render_items = [{"docid":"00bec54e-f52e-4b7f-b2b6-8e6e4eb73c82","roots":{"p1001":"bb5c0e1d-dc95-4d96-9cbc-a29ed2eade5c"},"root_ids":["p1001"]}];
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root.Bokeh.embed.embed_items(docs_json, render_items);
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}
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if (root.Bokeh !== undefined) {
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embed_document(root);
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} else {
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let attempts = 0;
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const timer = setInterval(function(root) {
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if (root.Bokeh !== undefined) {
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clearInterval(timer);
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embed_document(root);
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} else {
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attempts++;
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if (attempts > 100) {
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clearInterval(timer);
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console.log("Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing");
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}
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}
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}, 10, root)
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}
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})(window);
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});
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};
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if (document.readyState != "loading") fn();
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else document.addEventListener("DOMContentLoaded", fn);
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})();
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</script>
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</body>
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</html>
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@ -1,17 +0,0 @@
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from bokeh.models.layouts import HBox
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from bokeh.plotting import column
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from charts import PoolCharts
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from bokeh.io import output_file, show
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from bokeh.layouts import row
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output_file("static/data_plot.html")
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chart = PoolCharts.PoolCharts()
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ph = chart.line_chart("Pool PH", "ph", 50)
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total_chlorine = chart.line_chart("Pool Total Chlorine", "total_chlorine", 50)
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free_chlorine = chart.line_chart("Pool Free Chlorine", "free_chlorine", 50)
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show(column(ph, total_chlorine, free_chlorine))
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0
src/flask/table/__init__.py
Normal file
0
src/flask/table/__init__.py
Normal file
29
src/flask/table/table_builder.py
Normal file
29
src/flask/table/table_builder.py
Normal file
@ -0,0 +1,29 @@
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import sys
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from mongo.get_conn import db_conn
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import pandas as pd
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class TableBuilder():
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def __init__(self) -> None:
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self.db = db_conn()
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def table_build(self, field, read_count=3, runs=5) -> pd.DataFrame:
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data = self.db.beer_db
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data = data.find({}).sort("date", -1)
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df_dict = {}
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df_dict["beer_run_id"]=[]
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df_dict["sg"] = []
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df_dict["date"] = []
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df_dict["final_reading"] = []
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for record in data:
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df_dict["beer_run_id"].append(record["beer_run_id"])
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df_dict["sg"].append(record["sg"])
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df_dict["date"].append(record["date"])
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df_dict["final_reading"].append(record["final_reading"])
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df = pd.DataFrame(data=df_dict)
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df_sum = df.groupby('beer_run_id').agg({'sg': ['max', 'min']})
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return df_sum
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@ -49,7 +49,7 @@
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<td>
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<div class="container">
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<div class= "col-xs-12 col-sm-12 col-md-12">
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<iframe style="width: 100vw; height: 40vh;" src="static/data_plot.html" frameborder="0" allowfullscreen>
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<!--<iframe style="width: 100vw; height: 40vh;" src="static/data_plot.html" frameborder="0" allowfullscreen>
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<!--<iframe style="width: 100vw;height: 80vh;position: relative;" src="static/data_plot.html" frameborder="0" allowfullscreen>-->
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</iframe>
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</div>
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5
src/flask/test.py
Normal file
5
src/flask/test.py
Normal file
@ -0,0 +1,5 @@
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import table.table_builder as table_builder
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test = table_builder.TableBuilder()
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print(test.table_build("sg"))
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