xyvs/wakapi-readme-stats
1
0
Fork 0
Code Issues 2 Pull Requests 1 Actions Packages Projects Releases 1 Wiki Activity

FEAT: NEW GRAPH MODULE

Browse Source
This commit is contained in:
Anmol
2020-07-28 13:53:58 +05:30
parent ef845986d7
commit 09764da69d
4 changed files with 153 additions and 145 deletions
Download Patch File Download Diff File Expand all files Collapse all files

9
action.yml
View File

@@ -52,6 +52,15 @@ inputs:
description: "Show the Total Lines of code written Badge till date"
default: "False"
SHOW_LANGUAGE_PER_REPO:
required: false
description: ""
default: "True"
SHOW_LOC_CHART:
required: false
description: ""
default: "True"

98
loc.py
View File

@@ -6,7 +6,7 @@ from github import Github
import datetime
from string import Template
import matplotlib.pyplot as plt
from io import StringIO,BytesIO
from io import StringIO, BytesIO
from dotenv import load_dotenv
import time
@@ -15,70 +15,70 @@ from make_bar_graph import BarGraph
class LinesOfCode:
def __init__(self,id,username,ghtoken, repositoryData):
self.id=id
self.username=username
def __init__(self, id, username, ghtoken, repositoryData):
self.id = id
self.username = username
self.g = Github(ghtoken)
self.headers = {"Authorization": "Bearer " + ghtoken}
self.repositoryData=repositoryData
self.g = Github(ghtoken)
self.headers = {"Authorization": "Bearer " + ghtoken}
self.repositoryData = repositoryData
def calculateLoc(self):
result=self.repositoryData
yearly_data={}
result = self.repositoryData
yearly_data = {}
for repo in result['data']['user']['repositories']['edges']:
print(repo)
self.getCommitStat(repo['node'],yearly_data)
time.sleep(0.7)
print(repo)
self.getCommitStat(repo['node'], yearly_data)
time.sleep(0.7)
print("\n\n")
print(yearly_data)
graph=BarGraph(yearly_data)
graph_file=graph.build_graph()
print("here")
graph = BarGraph(yearly_data)
graph_file = graph.build_graph()
self.pushChart()
def run_query_v3(self,nameWithOwner):
endPoint='https://api.github.com/repos/'+nameWithOwner+'/stats/code_frequency'
def run_query_v3(self, nameWithOwner):
endPoint = 'https://api.github.com/repos/' + nameWithOwner + '/stats/code_frequency'
# print(endPoint)
request = requests.get(endPoint, headers=self.headers)
if request.status_code == 401:
raise Exception("Invalid token {}. {}".format(request.status_code, nameWithOwner))
raise Exception("Invalid token {}. {}".format(request.status_code, nameWithOwner))
return request.json()
def getQuarter(self,timeStamp):
month=datetime.datetime.fromtimestamp(timeStamp).month
if month>=1 and month<=4:
return 1
elif month>=5 and month<=8:
return 2
elif month>=9 and month<=12:
return 3
def getQuarter(self, timeStamp):
month = datetime.datetime.fromtimestamp(timeStamp).month
if month >= 1 and month <= 4:
return 1
elif month >= 5 and month <= 8:
return 2
elif month >= 9 and month <= 12:
return 3
def getCommitStat(self,repoDetails,yearly_data):
result= self.run_query_v3(repoDetails['nameWithOwner'])
this_year=datetime.datetime.utcnow().year
def getCommitStat(self, repoDetails, yearly_data):
result = self.run_query_v3(repoDetails['nameWithOwner'])
this_year = datetime.datetime.utcnow().year
for i in range(len(result)):
curr_year=datetime.datetime.fromtimestamp(result[i][0]).year
# if curr_year != this_year:
quarter=self.getQuarter(result[i][0])
if repoDetails['primaryLanguage'] is not None:
curr_year = datetime.datetime.fromtimestamp(result[i][0]).year
# if curr_year != this_year:
quarter = self.getQuarter(result[i][0])
if repoDetails['primaryLanguage'] is not None:
if curr_year not in yearly_data:
yearly_data[curr_year]={}
if quarter not in yearly_data[curr_year]:
yearly_data[curr_year][quarter]={}
if repoDetails['primaryLanguage']['name'] not in yearly_data[curr_year][quarter]:
yearly_data[curr_year][quarter][repoDetails['primaryLanguage']['name']]=0
yearly_data[curr_year][quarter][repoDetails['primaryLanguage']['name']]+=(result[i][1]+result[i][2])
if curr_year not in yearly_data:
yearly_data[curr_year] = {}
if quarter not in yearly_data[curr_year]:
yearly_data[curr_year][quarter] = {}
if repoDetails['primaryLanguage']['name'] not in yearly_data[curr_year][quarter]:
yearly_data[curr_year][quarter][repoDetails['primaryLanguage']['name']] = 0
yearly_data[curr_year][quarter][repoDetails['primaryLanguage']['name']] += (result[i][1] + result[i][2])
#to find total
# to find total
# if 'total' not in yearly_data[curr_year]:
# yearly_data[curr_year]['total']={}
# if repoDetails['primaryLanguage']['name'] not in yearly_data[curr_year]['total']:
# yearly_data[curr_year]['total'][repoDetails['primaryLanguage']['name']]=0
# yearly_data[curr_year]['total'][repoDetails['primaryLanguage']['name']]+=(result[i][1]+result[i][2])
# if 'total' not in yearly_data[curr_year]:
# yearly_data[curr_year]['total']={}
# if repoDetails['primaryLanguage']['name'] not in yearly_data[curr_year]['total']:
# yearly_data[curr_year]['total'][repoDetails['primaryLanguage']['name']]=0
# yearly_data[curr_year]['total'][repoDetails['primaryLanguage']['name']]+=(result[i][1]+result[i][2])
def pushChart(self):
repo = self.g.get_repo(f"{self.username}/{self.username}")
@@ -88,13 +88,9 @@ class LinesOfCode:
contents = repo.get_contents("charts/bar_graph.png")
repo.update_file(contents.path, "Charts Added", data, contents.sha)
except Exception as e:
repo.create_file("charts/bar_graph.png", "Initial Commit",data)
repo.create_file("charts/bar_graph.png", "Initial Commit", data)
print("pushed")
# if __name__ == '__main__':
# try:
# g = Github(ghtoken)

28
main.py
View File

@@ -1,7 +1,7 @@
'''
Readme Development Metrics With waka time progress
'''
import locale
import re
import os
import base64
@@ -12,8 +12,6 @@ import requests
from github import Github, GithubException
import datetime
from string import Template
import matplotlib.pyplot as plt
from io import StringIO,BytesIO
from dotenv import load_dotenv
from loc import LinesOfCode
@@ -33,9 +31,10 @@ showOs = os.getenv('INPUT_SHOW_OS')
showCommit = os.getenv('INPUT_SHOW_COMMIT')
showLanguage = os.getenv('INPUT_SHOW_LANGUAGE')
show_loc = os.getenv('INPUT_SHOW_LINES_OF_CODE')
showLanguagePerRepo= os.getenv('INPUT_LANGUAGE_PER_REPO')
showLocChart='y' if (os.getenv('LOC_CHART') is None) else os.getenv('LOC_CHART')
show_waka_stats='n' if waka_key is None else 'y'
showLanguagePerRepo = os.getenv('INPUT_SHOW_LANGUAGE_PER_REPO')
showLocChart = os.getenv('INPUT_SHOW_LOC_CHART')
show_waka_stats = 'y'
# The GraphQL query to get commit data.
userInfoQuery = """
{
@@ -90,10 +89,11 @@ def run_v3_api(query):
raise Exception(
"Query failed to run by returning code of {}. {},... {}".format(request.status_code, query, request.json()))
repositoryListQuery = Template("""
{
user(login: "$username") {
repositories(orderBy: {field: CREATED_AT, direction: ASC}, last: 100, affiliations: [OWNER, COLLABORATOR, ORGANIZATION_MEMBER], isFork: false) {
repositories(orderBy: {field: CREATED_AT, direction: ASC}, last: 5, affiliations: [OWNER, COLLABORATOR, ORGANIZATION_MEMBER], isFork: false) {
totalCount
edges {
node {
@@ -132,6 +132,7 @@ repositoryListQuery = Template("""
}
""")
def run_query(query):
request = requests.post('https://api.github.com/graphql', json={'query': query}, headers=headers)
if request.status_code == 200:
@@ -278,11 +279,11 @@ def generate_commit_list(tz):
string = string + '**' + title + '** \n\n' + '```text\n' + make_commit_list(one_day) + '\n\n```\n'
string = string + '📅 **' + days_title + '** \n\n' + '```text\n' + make_commit_list(dayOfWeek) + '\n\n```\n'
def get_waka_time_stats():
stats=''
try:
request = requests.get(
f"https://wakatime.com/api/v1/users/current/stats/last_7_days?api_key={waka_key}")
stats = ''
request = requests.get(
f"https://wakatime.com/api/v1/users/current/stats/last_7_days?api_key={waka_key}")
if request.status_code != 401:
data = request.json()
@@ -366,9 +367,6 @@ def get_stats():
'''Gets API data and returns markdown progress'''
stats = ''
if showCommit.lower() in ['true', '1', 't', 'y', 'yes']:
stats = stats + generate_commit_list() + '\n\n'
repositoryList = run_query(repositoryListQuery.substitute(username=username, id=id))
if showLanguagePerRepo.lower() in ['true', '1', 't', 'y', 'yes']:
@@ -386,6 +384,7 @@ def get_stats():
return stats
def decode_readme(data: str):
'''Decode the contets of old readme'''
decoded_bytes = base64.b64decode(data)
@@ -420,4 +419,3 @@ if __name__ == '__main__':
print("Readme updated")
except Exception as e:
print("Exception Occurred" + str(e))

159
make_bar_graph.py
View File

@@ -2,106 +2,111 @@ import pandas as pd
import numpy as np
import altair as alt
import json
alt.data_transformers.enable('data_server_proxied')
# npm install vega-lite vega-cli canvas
class BarGraph:
def __init__(self, yearly_data):
self.yearly_data=yearly_data
def __init__(self, yearly_data):
self.yearly_data = yearly_data
def build_graph(self):
def build_graph(self):
with open('colors.json') as f:
colors = json.load(f)
allColorsValues=[]
with open('colors.json') as f:
colors = json.load(f)
allColorsValues = []
#filter data
max_languages=5
top_languages={}
for year in self.yearly_data.keys():
for quarter in self.yearly_data[year].keys():
for language in sorted(list(self.yearly_data[year][quarter].keys()), key=lambda lang:self.yearly_data[year][quarter][lang], reverse=True)[0:max_languages]:
if 'top' not in self.yearly_data[year][quarter]:
self.yearly_data[year][quarter]['top']={}
if self.yearly_data[year][quarter][language]!=0:
self.yearly_data[year][quarter]['top'][language]=self.yearly_data[year][quarter][language]
# filter data
max_languages = 5
top_languages = {}
for year in self.yearly_data.keys():
for quarter in self.yearly_data[year].keys():
for language in sorted(list(self.yearly_data[year][quarter].keys()),
key=lambda lang: self.yearly_data[year][quarter][lang], reverse=True)[
0:max_languages]:
if 'top' not in self.yearly_data[year][quarter]:
self.yearly_data[year][quarter]['top'] = {}
if self.yearly_data[year][quarter][language] != 0:
self.yearly_data[year][quarter]['top'][language] = self.yearly_data[year][quarter][language]
if language not in top_languages:
top_languages[language] =1
top_languages[language]+=1
if language not in top_languages:
top_languages[language] = 1
top_languages[language] += 1
# print(self.yearly_data)
print("here")
print(self.yearly_data)
all_languages=list(top_languages.keys())
all_languages = list(top_languages.keys())
for language in all_languages:
if colors[language]['color'] is not None:
allColorsValues.append(colors[language]['color'])
for language in all_languages:
if colors[language]['color'] is not None:
allColorsValues.append(colors[language]['color'])
languages_all_loc={}
languages_all_loc = {}
for language in all_languages:
language_year=[]
for year in self.yearly_data.keys():
language_quarter=[0,0,0]
for quarter in self.yearly_data[year].keys():
if language in self.yearly_data[year][quarter]['top']:
language_quarter[quarter-1]=self.yearly_data[year][quarter]['top'][language]
else:
language_quarter[quarter-1]=0
language_year.append(language_quarter)
languages_all_loc[language]=language_year
for language in all_languages:
language_year = []
for year in self.yearly_data.keys():
language_quarter = [0, 0, 0]
for quarter in self.yearly_data[year].keys():
if language in self.yearly_data[year][quarter]['top']:
language_quarter[quarter - 1] = self.yearly_data[year][quarter]['top'][language]
else:
language_quarter[quarter - 1] = 0
language_year.append(language_quarter)
languages_all_loc[language] = language_year
print(languages_all_loc)
print("here 2")
print(languages_all_loc)
language_df={}
language_df = {}
def prep_df(df, name):
df = df.stack().reset_index()
df.columns = ['c1', 'c2', 'values']
df['Language'] = name
return df
def prep_df(df, name):
df = df.stack().reset_index()
df.columns = ['c1', 'c2', 'values']
df['Language'] = name
return df
for language in languages_all_loc.keys():
language_df[language]=pd.DataFrame(languages_all_loc[language],index=list(self.yearly_data.keys()),columns=["Q1","Q2","Q3"])
for language in languages_all_loc.keys():
language_df[language] = pd.DataFrame(languages_all_loc[language], index=list(self.yearly_data.keys()),
columns=["Q1", "Q2", "Q3"])
for language in language_df.keys():
language_df[language]=prep_df(language_df[language], language)
for language in language_df.keys():
language_df[language] = prep_df(language_df[language], language)
df = pd.concat(list(language_df.values()))
# print(df)
df=pd.concat(list(language_df.values()))
chart = alt.Chart(df).mark_bar().encode(
# tell Altair which field to group columns on
x=alt.X('c2:N', title=None),
# print(df)
# tell Altair which field to use as Y values and how to calculate
y=alt.Y('sum(values):Q',
axis=alt.Axis(
grid=False,
title='LOC added')),
# tell Altair which field to use to use as the set of columns to be represented in each group
column=alt.Column('c1:N', title=None),
chart=alt.Chart(df).mark_bar().encode(
# tell Altair which field to group columns on
x=alt.X('c2:N', title=None),
# tell Altair which field to use as Y values and how to calculate
y=alt.Y('sum(values):Q',
axis=alt.Axis(
grid=False,
title='LOC added')),
# tell Altair which field to use to use as the set of columns to be represented in each group
column=alt.Column('c1:N', title=None),
# tell Altair which field to use for color segmentation
color=alt.Color('Language:N',
scale=alt.Scale(
domain=all_languages,
# make it look pretty with an enjoyable color pallet
range=allColorsValues,
),
))\
.configure_view(
# remove grid lines around column clusters
strokeOpacity=0
)
chart.save('bar_graph.png')
return 'bar_graph.png'
# tell Altair which field to use for color segmentation
color=alt.Color('Language:N',
scale=alt.Scale(
domain=all_languages,
# make it look pretty with an enjoyable color pallet
range=allColorsValues,
),
)) \
.configure_view(
# remove grid lines around column clusters
strokeOpacity=0
)
chart.save('bar_graph.png')
return 'bar_graph.png'