├── LICENSE.md ├── Procfile ├── README.md ├── app.py ├── leetcode.py ├── requirements.txt ├── sampleoutput.png └── templates ├── home.html └── readMe.md /LICENSE.md: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2022 Ansh Gupta 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /Procfile: -------------------------------------------------------------------------------- 1 | web: gunicorn app:app 2 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Leetcode_DSA_Analytics 2 | A python script that would generate a html report based on programming questions done on Leetcode. 3 | 4 | ## Working with it 5 | 6 | https://leetcode-dsa-analytics.herokuapp.com/ 7 | 8 | * Click the link 9 | * Enter your Username 10 | * Get the result. 11 | 12 | ## Report Output 13 | 14 | 15 | 16 | ![Sample Otput](https://github.com/ansh422/Leetcode_DSA_Analysis/blob/main/sampleoutput.png) 17 | -------------------------------------------------------------------------------- /app.py: -------------------------------------------------------------------------------- 1 | from flask import Flask, render_template,request 2 | from leetcode import main_func 3 | app=Flask(__name__) 4 | 5 | @app.route('/', methods=['GET', 'POST']) 6 | def result(): 7 | if request.method == 'POST': 8 | user = request.form['uname'] 9 | #result = main_func(user) 10 | return render_template('home.html', result=main_func(user)) 11 | else: 12 | return render_template('home.html') 13 | 14 | if __name__ == "__main__": 15 | app.run() -------------------------------------------------------------------------------- /leetcode.py: -------------------------------------------------------------------------------- 1 | ''' 2 | Made by: Ansh Gupta 3 | Created on: 01/03/2022; 4 | 5 | ''' 6 | 7 | from plotly.subplots import make_subplots 8 | import plotly.express as px 9 | import plotly.offline as pof 10 | import pandas as pd 11 | import warnings 12 | import requests 13 | import subprocess 14 | import json 15 | import sys 16 | import os 17 | 18 | warnings.filterwarnings("ignore") 19 | 20 | def extract_json(dict): 21 | user=dict['user'] 22 | opName=dict['opName'] 23 | Query=dict['Query'] 24 | data={ 25 | "operationName": opName, 26 | "variables": {"username":user}, 27 | "query": Query 28 | } 29 | header={ 30 | "Referer":f"https://leetcode.com/{user}", 31 | 'Content-type':'application/json' 32 | 33 | } 34 | s=requests.session() 35 | s.get("https://leetcode.com/") 36 | header["x-csrftoken"] = s.cookies["csrftoken"] 37 | r = s.post("https://leetcode.com/graphql",json=data,headers=header) 38 | return json.loads(r.text) 39 | 40 | def util(fig): 41 | traces=[] 42 | for trace in range(len(fig['data'])): 43 | traces.append(fig['data'][trace]) 44 | return traces 45 | 46 | def main_func(user): 47 | #user=input("Enter your Leetcode User Name: ") 48 | Query="""query skillStats($username: String!) { 49 | matchedUser(username: $username) { 50 | tagProblemCounts { 51 | advanced { 52 | tagName 53 | problemsSolved 54 | } 55 | intermediate { 56 | tagName 57 | problemsSolved 58 | } 59 | fundamental { 60 | tagName 61 | problemsSolved 62 | } 63 | } 64 | } 65 | }""" 66 | json_data1=extract_json({"user":user,"opName":"skillStats","Query":Query}) 67 | try: 68 | df_data1 = json_data1['data']['matchedUser']['tagProblemCounts']['intermediate'] 69 | df_data2=json_data1['data']['matchedUser']['tagProblemCounts']['fundamental'] 70 | df_data3=json_data1['data']['matchedUser']['tagProblemCounts']['advanced'] 71 | df_intermediate= pd.DataFrame(df_data1) 72 | df_fundamental= pd.DataFrame(df_data2) 73 | df_advanced= pd.DataFrame(df_data3) 74 | except: 75 | return ("

The user does not exist!

") 76 | 77 | frames=[df_fundamental,df_intermediate,df_advanced] 78 | res=pd.concat(frames,ignore_index=True) 79 | data_structures=['Array','Matrix','String','Stack','Queue','Linked List','Tree','Binary Tree','Hash Table','Graph','Trie','Union Find'] 80 | algorithms=['Sorting','Two Pointers','Greedy','Binary Search','Depth-First Search','Breadth-First Search','Recursion','Sliding Window','Backtracking','Dynamic Programming','Divide and Conquer','Topological Sort','Shortest Path'] 81 | 82 | if res.empty: 83 | return ("

You have not attempted a single question!

") 84 | 85 | # print("Data Received from Leetcode") 86 | data_structure_df=res.loc[res['tagName'].isin(data_structures)] 87 | data_structure_df=data_structure_df.reset_index(drop=True) 88 | data_df=data_structure_df.sort_values(by=['problemsSolved']) 89 | 90 | 91 | data_bar = px.bar(data_df, x="problemsSolved", y="tagName",orientation='h') 92 | radar_data = (px.line_polar(data_df, r='problemsSolved', theta='tagName', line_close=True)).update_traces(fill='toself') 93 | data_pie=(px.pie(data_structure_df,values='problemsSolved',names='tagName')).update_layout(showlegend=False) 94 | 95 | algorithm_df=res.loc[res['tagName'].isin(algorithms)] 96 | algorithm_df=algorithm_df.reset_index(drop=True) 97 | algo_df=algorithm_df.sort_values(by=['problemsSolved']) 98 | 99 | algo_bar = px.bar(algo_df, x="problemsSolved", y="tagName",orientation='h') 100 | algo_radar = (px.line_polar(algo_df, r='problemsSolved', theta='tagName', line_close=True)).update_traces(fill='toself') 101 | algo_pie=(px.pie(algorithm_df,values='problemsSolved',names='tagName')).update_layout(showlegend=False) 102 | 103 | 104 | data_bar_traces=util(data_bar) 105 | data_radar_traces=util(radar_data) 106 | data_pie_traces=util(data_pie) 107 | algo_bar_traces=util(algo_bar) 108 | algo_radar_traces=util(algo_radar) 109 | algo_pie_traces=util(algo_pie) 110 | 111 | data_fig = make_subplots(rows=2, cols=2,specs=[[{"type":"xy"},{"type":"domain"}],[{"type":"polar"},{"type":"domain"}]],subplot_titles=("Number of question done by Data Structure","% of questions done by Data Structures","","Radar Chart showing number of question by Data Structures")) 112 | for trace in data_bar_traces: 113 | data_fig.append_trace(trace,row=1,col=1) 114 | for trace in data_radar_traces: 115 | data_fig.append_trace(trace,row=2,col=1) 116 | for trace in data_pie_traces: 117 | data_fig.append_trace(trace,row=1,col=2) 118 | data_fig.update_layout(height=900,width=1200) 119 | data_graph=pof.plot(data_fig, include_plotlyjs=False, output_type='div') 120 | 121 | algo_fig = make_subplots(rows=2, cols=2,specs=[[{"type":"xy"},{"type":"domain"}],[{"type":"polar"},{"type":"domain"}]],subplot_titles=("Number of question done by Algorithm","% of questions done by Algorithm","","Radar Chart showing number of question by Algorithm")) 122 | for trace in algo_bar_traces: 123 | algo_fig.append_trace(trace,row=1,col=1) 124 | for trace in algo_radar_traces: 125 | algo_fig.append_trace(trace,row=2,col=1) 126 | for trace in algo_pie_traces: 127 | algo_fig.append_trace(trace,row=1,col=2) 128 | algo_fig.update_layout(height=900,width=1200) 129 | algo_graph=pof.plot(algo_fig, include_plotlyjs=False, output_type='div') 130 | #print("Charts created") 131 | 132 | html_report="" 133 | #html_report+="" 134 | html_report+="

Data Structure

" 135 | html_report+=data_graph 136 | html_report+="

Algorithms

" 137 | html_report+=algo_graph 138 | #html_report+="
" 139 | 140 | return html_report 141 | 142 | 143 | 144 | #hs = open("leetcodereport.html", 'w+') 145 | #hs.write(html_report) 146 | #hs.close() 147 | #print("Report formed") 148 | 149 | 150 | 151 | 152 | #url=os.path.join(os.getcwd(),'leetcodereport.html') 153 | #try: 154 | # os.startfile(url) 155 | #except AttributeError: 156 | # try: 157 | # subprocess.call(['open',url]) 158 | # except: 159 | # print("The report is saved here:") 160 | # print(url) 161 | # 162 | ''' 163 | Made by: Ansh Gupta 164 | Created on: 01/03/2022; 165 | 166 | ''' -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | asgiref==3.5.0 2 | certifi==2021.10.8 3 | charset-normalizer==2.0.12 4 | click==8.0.4 5 | colorama==0.4.4 6 | Flask==2.0.3 7 | idna==3.3 8 | itsdangerous==2.1.0 9 | Jinja2==3.0.3 10 | MarkupSafe==2.1.0 11 | numpy==1.22.2 12 | pandas==1.4.1 13 | plotly==5.6.0 14 | python-dateutil==2.8.2 15 | pytz==2021.3 16 | requests==2.27.1 17 | six==1.16.0 18 | sqlparse==0.4.2 19 | tenacity==8.0.1 20 | tzdata==2021.5 21 | urllib3==1.26.8 22 | Werkzeug==2.0.3 23 | gunicorn 24 | -------------------------------------------------------------------------------- /sampleoutput.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ansh422/Leetcode_DSA_Analytics/ee98c4f4bd986c7258dcab5a98f519b73223c63f/sampleoutput.png -------------------------------------------------------------------------------- /templates/home.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | Leetcode DSA Report 7 | 8 | 14 | 15 | 16 |

Leetcode DSA Analytics

17 |
18 | 19 | 20 | 21 |
22 | {{ result | safe }} 23 |
24 | 25 | -------------------------------------------------------------------------------- /templates/readMe.md: -------------------------------------------------------------------------------- 1 | A simple Home template. 2 | --------------------------------------------------------------------------------