"""namuhub --- namu.wiki contribution graph"""
from flask import Flask, jsonify, render_template, request, url_for

app = Flask('namuhub')

@app.route('/', methods=['GET'])
def index():
    return render_template('index.html')

@app.route('/<user>', methods=['GET'])
def index_user(user=''):
    return render_template('index.html', **{'user': user})

@app.route('/', methods=['POST'])
def namu():
    user = request.POST.get('user', None)
    if not user:
        return '', 501


"""namuhub --- namu.wiki contribution graph"""
import time
from collections import defaultdict
from datetime import timedelta

from flask import Flask, jsonify, render_template, request, url_for

from namuhub import namu as namuwiki

app = Flask('namuhub')

@app.route('/', methods=['GET'])
def index():
    return render_template('index.html')

@app.route('/<user>', methods=['GET'])
def index_user(user=''):
    return render_template('index.html', **{'user': user})

@app.route('/', methods=['POST'])
def namu():
    user = request.form.get('user', None)
    if not user:
        return jsonify({}), 501

    contribs = namuwiki.contrib(user)
    data = defaultdict(lambda: [])
    # First, separate contributions into list by their activity date
    for contrib in contribs:
        date = (contrib.when - timedelta(hours=9)).date().strftime('%Y-%m-%d')
        data[date].append(contrib)
    # Convert defaultdict to dict
    # However, this may be inefficient but I don't care about performance at this point because it doesn't matter while it's a small project
    data = dict(data)
    # Next, we should serialize it as dict object to make sure that all the values are JSON serialiable
    for key, value in data.items():
        value = [c.as_dict() for c in value]
        # Almost done, fix timezone and convert its date property to unix timestamp number that can be parsed by javascript's date object
        for i, c in enumerate(value):
            value[i]['when'] = int(time.mktime((c['when'] + timedelta(hours=9)).timetuple())) * 1000
        # Overwrite existing value
        data[key] = value

    return jsonify(data)


Return namu.wiki contribution data as JSON
Return namu.wiki contribution data as JSON

  """namuhub --- namu.wiki contribution graph"""
+ import time
+ from collections import defaultdict
+ from datetime import timedelta
+ 
  from flask import Flask, jsonify, render_template, request, url_for
+ 
+ from namuhub import namu as namuwiki
  
  app = Flask('namuhub')
  
  @app.route('/', methods=['GET'])
  def index():
      return render_template('index.html')
  
  @app.route('/<user>', methods=['GET'])
  def index_user(user=''):
      return render_template('index.html', **{'user': user})
  
  @app.route('/', methods=['POST'])
  def namu():
-     user = request.POST.get('user', None)
+     user = request.form.get('user', None)
      if not user:
-         return '', 501
+         return jsonify({}), 501
+ 
+     contribs = namuwiki.contrib(user)
+     data = defaultdict(lambda: [])
+     # First, separate contributions into list by their activity date
+     for contrib in contribs:
+         date = (contrib.when - timedelta(hours=9)).date().strftime('%Y-%m-%d')
+         data[date].append(contrib)
+     # Convert defaultdict to dict
+     # However, this may be inefficient but I don't care about performance at this point because it doesn't matter while it's a small project
+     data = dict(data)
+     # Next, we should serialize it as dict object to make sure that all the values are JSON serialiable
+     for key, value in data.items():
+         value = [c.as_dict() for c in value]
+         # Almost done, fix timezone and convert its date property to unix timestamp number that can be parsed by javascript's date object
+         for i, c in enumerate(value):
+             value[i]['when'] = int(time.mktime((c['when'] + timedelta(hours=9)).timetuple())) * 1000
+         # Overwrite existing value
+         data[key] = value
+ 
+     return jsonify(data)
  
  
Return namu.wiki contribution data as JSON
## Code Before:
"""namuhub --- namu.wiki contribution graph"""
from flask import Flask, jsonify, render_template, request, url_for

app = Flask('namuhub')

@app.route('/', methods=['GET'])
def index():
    return render_template('index.html')

@app.route('/<user>', methods=['GET'])
def index_user(user=''):
    return render_template('index.html', **{'user': user})

@app.route('/', methods=['POST'])
def namu():
    user = request.POST.get('user', None)
    if not user:
        return '', 501


## Instruction:
Return namu.wiki contribution data as JSON
## Code After:
"""namuhub --- namu.wiki contribution graph"""
import time
from collections import defaultdict
from datetime import timedelta

from flask import Flask, jsonify, render_template, request, url_for

from namuhub import namu as namuwiki

app = Flask('namuhub')

@app.route('/', methods=['GET'])
def index():
    return render_template('index.html')

@app.route('/<user>', methods=['GET'])
def index_user(user=''):
    return render_template('index.html', **{'user': user})

@app.route('/', methods=['POST'])
def namu():
    user = request.form.get('user', None)
    if not user:
        return jsonify({}), 501

    contribs = namuwiki.contrib(user)
    data = defaultdict(lambda: [])
    # First, separate contributions into list by their activity date
    for contrib in contribs:
        date = (contrib.when - timedelta(hours=9)).date().strftime('%Y-%m-%d')
        data[date].append(contrib)
    # Convert defaultdict to dict
    # However, this may be inefficient but I don't care about performance at this point because it doesn't matter while it's a small project
    data = dict(data)
    # Next, we should serialize it as dict object to make sure that all the values are JSON serialiable
    for key, value in data.items():
        value = [c.as_dict() for c in value]
        # Almost done, fix timezone and convert its date property to unix timestamp number that can be parsed by javascript's date object
        for i, c in enumerate(value):
            value[i]['when'] = int(time.mktime((c['when'] + timedelta(hours=9)).timetuple())) * 1000
        # Overwrite existing value
        data[key] = value

    return jsonify(data)

