class function to build graphs
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@ -18,10 +18,10 @@
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</script>
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</head>
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<body>
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<div id="a2129a8b-778e-490c-ba6b-d8dbb5956510" data-root-id="p1001" style="display: contents;"></div>
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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="f9173064-b3c3-4120-bd9c-e9094743f5a6">
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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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@ -29,8 +29,8 @@
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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('f9173064-b3c3-4120-bd9c-e9094743f5a6').textContent;
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const render_items = [{"docid":"665fa898-b488-4b51-a790-cd13b33e7a78","roots":{"p1001":"a2129a8b-778e-490c-ba6b-d8dbb5956510"},"root_ids":["p1001"]}];
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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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@ -1,5 +1,16 @@
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from bokeh.models.layouts import HBox
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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("data_plot.html")
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chart = PoolCharts.PoolCharts()
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chart.ph_line_chart()
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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(row(ph, total_chlorine, free_chlorine))
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@ -1,6 +1,7 @@
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import sys
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from bokeh.plotting import figure, show
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from bokeh.models.widgets import DataCube
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from bokeh.plotting import figure
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from mongo.get_conn import db_conn
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@ -9,38 +10,38 @@ class PoolCharts():
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self.db = db_conn()
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def ph_line_chart(self):
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ph = self.db.pool_db
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data = ph.find({}).sort("date", -1).limit(50)
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def line_chart(self, title, field, limit):
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data = self.db.pool_db
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data = data.find({}).sort("date", -1).limit(limit)
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dates = []
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ph_list = []
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data_list = []
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date_count = {}
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for record in data:
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if record["ph"] != "None":
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if record[field] != "None":
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if record["date"] not in dates:
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print("new date record")
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dates.append(record["date"])
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ph_list.append(float(record["ph"]))
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data_list.append(float(record[field]))
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print (dates)
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print (ph_list)
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print (data_list)
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else:
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if record["date"] in date_count:
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date_count[record["date"]] += 1
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else:
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date_count[record["date"]] = 2
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print(len(ph_list))
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current_ph = ph_list[len(ph_list) - 1]
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ph_list[len(ph_list) - 1] = (float(record["ph"]) + current_ph) / date_count[record["date"]]
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print(len(data_list))
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current_data = data_list[len(data_list) - 1]
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data_list[len(data_list) - 1] = (float(record[field]) + current_data) / date_count[record["date"]]
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print(dates)
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print(ph_list)
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print(data_list)
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p = figure(x_range=dates, height=350, title="Pool Ph",
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p = figure(x_range=dates, height=250, title=title,
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toolbar_location=None, tools="")
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p.vbar(x=dates, top=ph_list, width=0.9)
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p.line(x=dates, y=data_list)
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p.xgrid.grid_line_color = None
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p.y_range.start = 0
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p.y_range.start = round(min(data_list) - 1)
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show(p)
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return p
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61
src/flask/data_plot.html
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61
src/flask/data_plot.html
Normal file
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