kpi_csv_sq.py : variable name fix from index to kpi

lf_qa.py : initial check in , save static results

Signed-off-by: Chuck SmileyRekiere <chuck.smileyrekiere@candelatech.com>

py-scripts/sandbox/kpi_csv_sq.py

@@ -152,11 +152,11 @@ class csv_sqlite_dash():
                         self.children_div.append(html.Br())
 
                         # link to interactive results
-                        index_html_path = self.server + kpi_path_list[-1] + "kpi.html"
+                        kpi_html_path = self.server + kpi_path_list[-1] + "kpi.html"
-                        index_html_path = index_html_path.replace('/home/lanforge/','')
+                        kpi_html_path = kpi_html_path.replace('/home/lanforge/','')
                         self.children_div.append(html.Br())
                         self.children_div.append(html.A('{}_{}_{}_{}_kpi.html'.format(test_id_list[-1], group, test_tag, test_rig),
-                            href=index_html_path, target='_blank'))
+                            href=kpi_html_path, target='_blank'))
 
                         # link to full test results
                         index_html_path = self.server + kpi_path_list[-1] + "index.html"

py-scripts/sandbox/lf_qa.py

@@ -0,0 +1,358 @@
+#!/usr/bin/env python3
+'''
+File: read kpi.csv place in sql database, create png of historical kpi and present graph on dashboard
+Usage: kpi_csv_sq.py --store --png --show --path <path to directories to traverse> --database <name of database> 
+Example: kpi_csv_sq.py --show  (show dashboard generated from database)
+Example: kpi_csv_sq.py --store --png --show --path <path to read kpi.csv> (read kpi.csv store to database, write png, show dashboard )
+
+'''
+# visit http://127.0.0.1:8050/ in your web browser.
+
+import datetime
+import pprint
+import sys
+
+import os
+import dash
+import dash_core_components as dcc
+import dash_html_components as html
+import plotly.express as px
+import pandas as pd
+import sqlite3
+import argparse
+from  pathlib import Path
+import time
+
+# lf_report is from the parent of the current file
+dir_path = os.path.dirname(os.path.realpath(__file__))
+parent_dir_path = os.path.abspath(os.path.join(dir_path, os.pardir))
+sys.path.insert(0, parent_dir_path)
+
+from lf_report import lf_report
+
+sys.path.append('/')
+
+
+# Any style components can be used
+external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
+
+class csv_sqlite_dash():
+    def __init__(self,
+                _path = '.',
+                _file = 'kpi.csv',
+                _database = 'qa_db',
+                _table = 'qa_table',
+                _png = False):
+        self.path = _path
+        self.file = _file
+        self.database = _database
+        self.table = _table
+        self.png = _png
+        self.png_generated = False
+        self.kpi_list = []
+        self.html_list = []
+        self.conn = None
+        self.df = pd.DataFrame()
+        self.plot_figure = []
+        self.children_div = []
+        self.html_results =""
+        self.server_html_reports = 'http://192.168.95.6/html-reports/' #TODO pass in server
+        self.server = 'http://192.168.95.6/' #TODO pass in server
+        self.server_started = False
+        self.app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
+        # https://community.plotly.com/t/putting-a-dash-instance-inside-a-class/6097/3
+        #https://dash.plotly.com/dash-html-components/button
+        #self.app.callback(dash.dependencies.Output('container-button-basic', 'children'),
+        #                [dash.dependencies.Input(component_id ='submit-val', component_property ='n_clicks')])(self.show)
+
+    # information on sqlite database
+    # https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_sql.html
+    def store(self):
+        print("reading kpi and storing in db {}".format(self.database))
+        path = Path(self.path)
+        self.kpi_list = list(path.glob('**/kpi.csv'))  # Hard code for now 
+
+        if not self.kpi_list:
+            print("WARNING: used --store , no new kpi.csv found, check input path or remove --store from command line")
+
+        for kpi in self.kpi_list: #TODO note empty kpi.csv failed test 
+            df_kpi_tmp = pd.read_csv(kpi, sep='\t')  
+            df_kpi_tmp['kpi_path'] = str(kpi).replace('kpi.csv','')  # only store the path to the kpi.csv file
+            df_kpi_tmp = df_kpi_tmp.append(df_kpi_tmp, ignore_index=True)
+            self.df = self.df.append(df_kpi_tmp, ignore_index=True)
+
+        self.conn = sqlite3.connect(self.database) 
+        try:
+            self.df.to_sql(self.table,self.conn,if_exists='append')
+        except:
+            print("attempt to append to database with different column layout, casused exception, input new name --database <new name>")            
+            exit(1)
+        self.conn.close()
+
+    def generate_graph_png(self):
+        print("generating graphs to display")
+        print("generate_graph_png: {}".format(time.time()))
+
+        #https://datacarpentry.org/python-ecology-lesson/09-working-with-sql/index.html-
+        self.conn = sqlite3.connect(self.database)
+        df3 = pd.read_sql_query("SELECT * from {}".format(self.table) ,self.conn) #current connection is sqlite3 /TODO move to SQLAlchemy
+        # sort by date column
+        try:
+            df3 = df3.sort_values(by='Date')
+        except:
+            print("Database empty: KeyError(key) when sorting by Date, check Database name, path to kpi, typo in path, exiting")
+            exit(1)
+        self.conn.close()
+
+        # graph group and test-tag are used for detemining the graphs, can use any columns
+        # the following list manipulation removes the duplicates
+        graph_group_list = list(df3['Graph-Group'])
+        graph_group_list = list(set(graph_group_list)) 
+
+        test_tag_list = list(df3['test-tag'])
+        test_tag_list = list(set(test_tag_list))
+        
+        test_rig_list = list(df3['test-rig'])
+        test_rig_list = list(set(test_rig_list))
+
+        self.children_div.append(html.A('html_reports', href=self.server_html_reports, target='_blank'))
+        for test_rig in test_rig_list:
+            for test_tag in test_tag_list:
+                for group in graph_group_list:
+                    df_tmp = df3.loc[(df3['test-rig'] == test_rig) & (df3['Graph-Group'] == str(group)) & (df3['test-tag'] == str(test_tag))]
+                    if df_tmp.empty == False:
+                        kpi_fig = (px.scatter(df_tmp, x="Date", y="numeric-score",
+                             color="short-description", hover_name="short-description",
+                             size_max=60)).update_traces(mode='lines+markers')
+
+                        df_tmp = df_tmp.sort_values(by='Date')
+                        test_id_list = list(df_tmp['test-id'])
+                        kpi_path_list = list(df_tmp['kpi_path'])
+
+                        units_list = list(df_tmp['Units'])
+
+                        kpi_fig.update_layout(
+                            title="{} : {} : {} : {}".format(test_id_list[-1], group, test_tag, test_rig),
+                            xaxis_title="Time",
+                            yaxis_title="{}".format(units_list[-1]),
+                            xaxis = {'type' : 'date'}
+                        )
+                        # save the figure - figures will be over written png 
+                        # for testing 
+                        png_server_img = ''
+                        if self.png:
+                            if self.png_generated:
+                                pass
+                            else:
+                                print("generating png files")
+                                print("kpi_path:{}".format(df_tmp['kpi_path']))
+                                png_path = os.path.join(kpi_path_list[-1],"kpi.png") # use simple names {}_{}_{}_{}_kpi.png".format(test_id_list[-1], group, test_tag, test_rig))
+                                html_path = os.path.join(kpi_path_list[-1],"kpi.html") # use simple names {}_{}_{}_{}_kpi.html".format(test_id_list[-1], group, test_tag, test_rig))
+                                print("png_path {}".format(png_path))
+                                png_server_img = self.server + png_path.replace('/home/lanforge','')
+                                print("png_server_img {}".format(png_server_img))
+                                kpi_fig.write_image(png_path,scale=1,width=1200,height=350)
+                                #https://plotly.com/python/interactive-html-export/
+                                kpi_fig.write_html(html_path)
+                                # png of graph data to display
+                                self.children_div.append(html.Img(src=png_server_img))
+                                # may need .css class for formatting the images
+                                self.html_results += """
+                                <img src={png_server_img}>
+                                """.format(png_server_img)
+
+                        # use image from above to creat html display - this uses dynamic graphing
+                        #self.children_div.append(dcc.Graph(figure=kpi_fig))
+
+                        #TODO the link must be to a server to display html
+                        # WARNING: DO NOT USE os.path.join will use the path for where the script is RUN which can be container.
+                        # need to construct path to server manually. 
+                        #TODO need to work out the reporting paths - pass in path adjust
+                        self.children_div.append(html.Br())
+                        self.html_results +="""<br>"""
+
+                        # link to interactive results
+                        kpi_html_path = self.server + kpi_path_list[-1] + "kpi.html"
+                        kpi_html_path = kpi_html_path.replace('/home/lanforge/','')
+                        self.children_div.append(html.Br())
+                        self.html_results +="""<br>"""
+                        self.children_div.append(html.A('{}_{}_{}_{}_kpi.html'.format(test_id_list[-1], group, test_tag, test_rig),
+                            href=kpi_html_path, target='_blank'))
+                        self.html_results +="""<a href={}>{}_{}_{}_{}_kpi.html<a>""".format(kpi_html_path,test_id_list[-1], group, test_tag, test_rig)
+
+                        # link to full test results
+                        index_html_path = self.server + kpi_path_list[-1] + "index.html"
+                        index_html_path = index_html_path.replace('/home/lanforge/','')
+                        self.children_div.append(html.Br())
+                        self.html_results +="""<br>"""
+                        self.children_div.append(html.A('{}_{}_{}_{}_index.html'.format(test_id_list[-1], group, test_tag, test_rig),
+                            href=index_html_path, target='_blank'))
+                        self.html_results +="""<a href={}>{}_{}_{}_{}_kpi.html<a>""".format(index_html_path,test_id_list[-1], group, test_tag, test_rig)
+                        self.children_div.append(html.Br())
+                        self.children_div.append(html.Br())
+                        self.children_div.append(html.Br())
+                        self.html_results +="""<br>"""
+                        self.html_results +="""<br>"""
+                        self.html_results +="""<br>"""
+
+        
+        # TODO see if this stops the regenration of the graphs each time
+        self.png_generated = True
+
+
+    # access from server
+    # https://stackoverflow.com/questions/61678129/how-to-access-a-plotly-dash-app-server-via-lan
+    #def show(self,n_clicks):
+    def show(self):
+        #print("refreshes: {}".format(n_clicks))
+        self.generate_graph_png()
+        if not self.children_div:
+            print("NOTE: test-tag may not be present in the kpi thus no results generated")
+        print("show: {}".format(time.time()))
+        self.app.layout = html.Div([
+            html.Div(id='my-output'),
+            html.H1(children= "LANforge Testing",className="lanforge",
+            style={'color':'green','text-align':'center'}),
+            #html.Button('Submit Recalculate',id='submit-val', n_clicks=0),
+            #html.Div(id='container-button-basic', children='to recalculate hit submit'),
+            html.H2(children= "Results",className="ts1",
+            style={'color':'#00361c','text-align':'left'}),
+            # images_div is already a list, children = a list of html components
+            # remove scrolling : html.Div(children= self.children_div, style={"maxHeight": "600px", "overflow": "scroll"} ), 
+            html.Div(children= self.children_div ), 
+            html.A('www.candelatech.com',href='http://www.candelatech.com', target='_blank',
+            style={'color':'#00361c','text-align':'left'}),
+        ])
+
+        # save as standalone files
+        #https://plotly.com/python/static-image-export/
+        
+        if self.server_started:
+            print("refresh complete")
+            pass
+        else:
+            self.server_started = True
+            print("self.server_started {}".format(self.server_started))
+            #NOTE: the server_started flag needs to be set prior to run_server (or you get to debug an infinite loop)
+            self.app.run_server(host= '0.0.0.0', debug=True)
+            # host = '0.0.0.0'  allows for remote access,  local debug host = '127.0.0.1'
+            # app.run_server(host= '0.0.0.0', debug=True) 
+
+    def get_html_results(self):
+        return self.html_results
+
+def main():
+
+    parser = argparse.ArgumentParser(
+        prog='kpi_csv_sq.py',
+        formatter_class=argparse.RawTextHelpFormatter,
+        epilog='''\
+        read kpi.csv into sqlite database , save png of history and preset on dashboard
+
+            ''',
+        description='''\
+File: read kpi.csv place in sql database, create png of historical kpi and present graph on dashboard
+Usage: kpi_csv_sq.py --store --png --show --path <path to directories to traverse> --database <name of database> 
+Example: kpi_csv_sq.py --show  (show dashboard generated from database)
+Example: kpi_csv_sq.py --store --png --show --path <path to read kpi.csv> (read kpi.csv store to database, write png, show dashboard )
+
+        ''')
+    parser.add_argument('--path', help='--path top directory path to kpi if regererating database or png files',default='')
+    parser.add_argument('--file', help='--file kpi.csv  default: kpi.csv',default='kpi.csv') #TODO is this needed
+    parser.add_argument('--database', help='--database qa_test_db  default: qa_test_db',default='qa_test_db')
+    parser.add_argument('--table', help='--table qa_table  default: qa_table',default='qa_table')
+    parser.add_argument('--store', help='--store , store kpi to db, action store_true',action='store_true')
+    parser.add_argument('--png', help='--png,  generate png for kpi in path, generate display, action store_true',action='store_true')
+    parser.add_argument('--show', help='--show generate display and show dashboard, action store_true',action='store_true')
+    parser.add_argument('--dir', help="--dir <results directory>", default="lf_qa")
+
+    
+    args = parser.parse_args()
+
+    __path = args.path
+    __file = args.file
+    __database = args.database
+    __table = args.table
+    __png   = args.png
+    __dir   = args.dir
+
+    # needed for refresh button 
+    # n_clicks = 0
+
+    print("config: path:{} file:{} database:{} table:{} store:{} png:{} show:{} "
+        .format(__path,__file,__database,__table,args.store, args.png,args.show))
+
+    if(__path == '' and args.store == True):
+        print("--path <path of kpi.csv> must be entered if --store ,  exiting")
+        exit(1)
+
+    if(args.png == True and args.store == False):
+        print("if --png set to create png files then --store must also be set, exiting")
+        exit(1)
+
+    if(args.png == True and args.show == True):
+        print("WARNING: generating png files will effect initial display performance")
+
+
+    # create report class for reporting
+    report = lf_report(_path = __path,
+                       _results_dir_name =__dir,
+                       _output_html="lf_qa.html",
+                       _output_pdf="lf_qa.pdf" )        
+
+    current_time = time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime())
+    csv_results = "lf_qa{}-{}.csv".format(args.outfile, current_time)
+    csv_results = report.file_add_path(csv_results)
+    outfile = "lf_qa-{}-{}".format(args.outfile, current_time)
+    outfile_path = report.file_add_path(outfile)
+    report_path = report.get_report_path()
+
+
+    csv_dash = csv_sqlite_dash(
+                _path = __path,
+                _file = __file,
+                _database = __database,
+                _table = __table,
+                _png = __png,
+                _csv_results=csv_results,
+                _outfile=outfile_path,
+                _report_path=report_path,)
+    if args.store:
+        csv_dash.store()
+    if args.png:
+        csv_dash.generate_graph_png()
+    if args.show:        
+        #csv_dash.show(n_clicks)
+        csv_dash.show()
+        
+    # generate output reports
+    report.set_title("LF QA: ")
+    report.build_banner_left()
+    report.start_content_div2()
+    report.set_obj_html("Objective", "QA Results")
+    report.build_objective()
+    report.set_text("LANforge")
+    report.build_text()
+    report.set_table_title("QA Test Results")
+    report.build_table_title()
+    # report.set_text("lanforge-scripts git sha: {}".format(git_sha))
+    # report.build_text()
+    html_results = csv_dash.get_html_results()
+    report.set_custom_html(html_results)
+    report.build_custom()
+    report.build_footer()
+    html_report = report.write_html_with_timestamp()
+    print("html report: {}".format(html_report))
+    try:
+        report.write_pdf_with_timestamp()
+    except:
+        print("exception write_pdf_with_timestamp()")
+
+
+
+    if args.store == False and args.png == False and args.show == False:
+        print("Need to enter an action of --store --png --show ")
+
+if __name__ == '__main__':
+    main()
+