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import csv
import pymongo
from datetime import datetime, timezone, timedelta
from steem.blog import Blog
from pprint import pprint
import math

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def date_2_local_date(_utcdate, _timedelta):
    utc_date = _utcdate.replace(tzinfo=timezone.utc)
    return utc_date.astimezone(timezone(timedelta(hours=_timedelta)))

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def parse_reputation(raw_reputation):
    return (math.log10(int(raw_reputation)) - 9) * 9 + 25

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def get_user_posts(account_name='yjcps'):
    blog = Blog(account_name)
    all_data = blog.all()
    posts = [get_post_detail(post) for post in all_data]
    return {
        'account_name':account_name,
        'count_posts':len(posts),
        'posts':posts
    }

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def save_to_csv(data: list, file_path, encoding):
    keys = data[0].keys()
    with open(
            file_path, 'w', newline='', encoding=encoding,
            errors='ignore') as f:
        writer = csv.DictWriter(f, fieldnames=keys)
        writer.writeheader()
        writer.writerows(data)

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# 配置数据库连接信息

MONGO_HOST = 'localhost'
MONGO_COLLECTION = 'steem'

mongo_client = pymongo.MongoClient(MONGO_HOST)
mongo_collection = mongo_client[MONGO_COLLECTION]

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def save_to_mongodb(data, tablename):
    if data is not None:
        if isinstance(data, list):
            result = mongo_collection[tablename].insert_many(data)
            if result.acknowledged:
                print('已导入%d条数据' % len(result.inserted_ids))
                return result.inserted_ids
        if isinstance(data, dict):
            if mongo_collection[tablename].update_one({
                    'account_name': data.get('account_name')}, {
                    '$set': data}, upsert=True):
                print('已导入%s的数据' % data.get('account_name'))
                return True
    else:
        return None

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yjcps = get_user_posts('yjcps')

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# 查看返回的数据
pprint(yjcps)

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{'account_name': 'yjcps',
 'count_posts': 35,
 'posts': [{'active': '2018-08-23 11:32:18',
            'active_voter': 'steempress,justyy,happyukgo,doraemon,superbing,dailystats,cryptocurrencyhk,jianan,steemtaker,cnbuddy,anxin,foodielifestyle,woolfe19861008,dailychina,yjcps,dongfengman,serenazz,shentrading,ethanlee,fanso,lilypang22,steempress-io,sweet-jenny8,shine.wong,turtlegraphics,regretfulwooden,witnesstools,happyfamily,ilovecoding',
            'author': 'yjcps',
            'author_reputation': 51.616714372034224,
            'body': '# Learn Python with Steem #09 笔记\n'
                    '\n'
                    '---\n'
                    '\n'
                    '[toc]\n'
                    '\n'
                    '## 划重点\n'
                    '\n'
                    '- 遍历字典\n'
                    '\n'
                    ' 利用dict.items()方法，用一个循环语句遍历整个字典的所有元素。\n'
                ...
                ...
                    "     'last_post_date': '2018-08-16-Thu 20:57:21',\n"
                    "     'post_count': 5926,\n"
                    "     'reputation': 67.26589131476406,\n"
                    "     'sbd_balance': '30.081 SBD',\n"
                    "     'sp': 5186.613554620994,\n"
                    "     'vesting_shares': 10501691.705077,\n"
                    "     'vot

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file_path = '{}_all_posts_{}.csv'.format(yjcps['account_name'], yjcps['count_posts'])

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# 保存数据为CSV文件，方便在Windows的Excel软件打开，选择编码为gbk,这样会丢弃不能编码的字符
# 可以选择utf-8编码，但需要从Excel中手动导入数据
# 如果日后编程需要取用，建议使用utf-8编码

save_to_csv(yjcps['posts'], file_path, 'gbk')

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#保存到数据库
save_to_mongodb(yjcps, 'steem_posts')

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已导入yjcps的数据





True

1

dapeng = get_user_posts('dapeng')

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file_path = '{}_all_posts_{}.csv'.format(dapeng['account_name'], dapeng['count_posts'])

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save_to_csv(dapeng['posts'], file_path, 'gbk')

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save_to_mongodb(dapeng, 'steem_posts')

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已导入dapeng的数据





True

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deanliu = get_user_posts('deanliu')

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WARNING:root:Retry in 1s -- RPCErrorRecoverable: non-200 response: 502 from api.steemit.com
WARNING:root:Retry in 1s -- RPCErrorRecoverable: non-200 response: 502 from api.steemit.com

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file_path = '{}_all_posts_{}.csv'.format(deanliu['account_name'], deanliu['count_posts'])

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save_to_csv(deanliu['posts'], file_path, 'gbk')

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save_to_mongodb(deanliu, 'steem_posts')

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已导入deanliu的数据





True

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import numpy as np
import jieba.analyse
import PIL.Image as Image
import re
from matplotlib import pyplot as plt
from collections import Counter
from wordcloud import WordCloud, ImageColorGenerator

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# 去除所有半角全角符号，只留字母、数字、中文。
def clean_text(text):
    # rule = re.compile(r"[^a-zA-Z0-9\u4e00-\u9fa5]")
    rule = re.compile(u"[^\u4e00-\u9fa5]")
    text = rule.sub(' ', text)
    return text

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def get_tag(text, cnt):
    re_text = clean_text(text)
    tag_list = jieba.analyse.extract_tags(re_text)
    for tag in tag_list:
        cnt[tag] += 1

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# 取出所有文章，放到一个列表里面
yjcps_all_post = [post['body'] for post in yjcps['posts']]

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# 获取词频
yjcps_post_counter = Counter()
for post in yjcps_all_post:
    get_tag(post, yjcps_post_counter)

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# 画词云图

# 指定中文字体
font = 'DroidSansFallbackFull.ttf'

wc = WordCloud(
    font_path=font,
    background_color="white",
    max_words=2000,
    max_font_size=100,
    width=800,
    height=800,
)

wc.generate_from_frequencies(yjcps_post_counter)

plt.figure(figsize=(8, 8))
plt.imshow(wc, interpolation="none")
plt.axis("off")
plt.show()

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dapeng_all_post = [post['body'] for post in dapeng['posts']]
# 获取词频
dapeng_post_counter = Counter()
for post in dapeng_all_post:
    get_tag(post, dapeng_post_counter)

# 画词云图

# 指定中文字体
font = 'DroidSansFallbackFull.ttf'
# 指定背景图片
bg_image = np.array(Image.open("steemit.png"))

wc = WordCloud(
    font_path=font,
    background_color="white",
    max_words=2000,
    max_font_size=100,
    mask=bg_image)

wc.generate_from_frequencies(dapeng_post_counter)

plt.figure(figsize=(8, 8))
plt.imshow(wc, interpolation="none")
plt.axis("off")
plt.show()

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deanliu_all_post = [post['body'] for post in deanliu['posts']]
# 获取词频
deanliu_post_counter = Counter()
for post in deanliu_all_post:
    get_tag(post, deanliu_post_counter)

# 画词云图

# 指定中文字体
font = 'DroidSansFallbackFull.ttf'
# 指定背景图片
bg_image = np.array(Image.open("steemit2.png"))
# 取图片的颜色作为绘制词云图片的颜色
image_colors = ImageColorGenerator(bg_image)

wc = WordCloud(
    font_path=font,
    background_color="white",
    max_words=2000,
    max_font_size=20,
    mask=bg_image)

wc.generate_from_frequencies(deanliu_post_counter)

plt.figure(figsize=(8, 8))
plt.imshow(wc.recolor(color_func=image_colors), interpolation="none")
plt.axis("off")
plt.show()

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from windrose import WindroseAxes
import numpy as np
from matplotlib import pyplot as plt

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# 获取发帖时间,返回小时，获取的时间已处理为北京时间

def get_post_time(account:dict, _type:str='created')->list:
    posts = account['posts']
    time_format = '%Y-%m-%d %H:%M:%S'
    posts_time = [datetime.strptime(post[_type], time_format)  for post in posts]
    hours = [time.hour for time in posts_time]
    return hours

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yjcps_post_time = get_post_time(yjcps)
dapeng_post_time = get_post_time(dapeng)
deanliu_post_time = get_post_time(deanliu)

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# 我所有的发帖时间
print(yjcps_post_time)

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def make_time_image(time, colors=None, edgecolor='white', **kwargs):
    ws = np.array(time)
    wd = np.array(time) / 24 * 360

    # 统计各时间次数
    count, _ = np.histogram(time, bins=24)

    if colors:
        pass
    else:
        colors = [(94/255, 79/255, 162/255)]

    # 画图
    ax = WindroseAxes.from_ax()
    ax.bar(wd, ws, nsector=24, normed=True, colors=colors,
           bins=1, edgecolor=edgecolor, **kwargs)

    xticklabels = ['6:00', '3:00', '0:00',
                   '21:00', '18:00', '15:00', '12:00', '9:00']

    # 获取最大极径
    rmax = ax.get_rmax()
    fmt = "%.1f "
    yticklabels = np.linspace(0, rmax, 6) / rmax * max(count)
    yticklabels = [fmt % r for r in yticklabels[1:]]

    # 设置标签
    ax.set_yticklabels(yticklabels)
    ax.set_xticklabels(xticklabels)

    # 显示
    plt.show()

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make_time_image(yjcps_post_time)

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make_time_image(dapeng_post_time)

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make_time_image(deanliu_post_time)

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from steem import Steem
s = Steem()
balance = s.get_account('yjcps')['sbd_balance']
print(balance)

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i:\python364\lib\site-packages\Crypto\Random\OSRNG\nt.py in <module>()
     26 __all__ = ['WindowsRNG']
     27 
---> 28 import winrandom
     29 from .rng_base import BaseRNG
     30 

ModuleNotFoundError: No module named 'winrandom'

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 ----------------------------------------
  Failed building wheel for winrandom
  Running setup.py clean for winrandom
Failed to build winrandom
Installing collected packages: winrandom
  Running setup.py install for winrandom ... error
    Complete output from command I:\PYTHON~1\python.exe -u -c "import setuptools, tokenize;__file__='K:\\temp\\pip-install-f7pz4ekx\\winrandom\\setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record K:\temp\pip-record-xtfsjesk\install-record.txt --single-version-externally-managed --compile:
    running install
    running build
    running build_ext
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "K:\temp\pip-install-f7pz4ekx\winrandom\setup.py", line 43, in <module>
        ext_modules=[winrandom1])
     ...
        self.dll_libraries = get_msvcr()
      File "I:\PYTHON~1\lib\distutils\cygwinccompiler.py", line 95, in get_msvcr
        raise ValueError("Unknown MS Compiler version %s " % msc_ver)
    ValueError: Unknown MS Compiler version 1900

    ----------------------------------------

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def get_msvcr():
    """Include the appropriate MSVC runtime library if Python was built
    with MSVC 7.0 or later.
    """
    msc_pos = sys.version.find('MSC v.')
    if msc_pos != -1:
        msc_ver = sys.version[msc_pos+6:msc_pos+10]
        if msc_ver == '1300':
            # MSVC 7.0
            return ['msvcr70']
        ...
        elif msc_ver == '1600':
            # VS2010 / MSVC 10.0
            return ['msvcr100']
         ### PATCH###############################
        # INCLUDES NEWEST mscvcr VERSION
        #########################################
        elif msc_ver == '1900':
           # Visual Studio 2015 / Visual C++ 14.0
           # "msvcr140.dll no longer exists" http://blogs.msdn.com/b/vcblog/archive/2014/06/03/visual-studio-14-ctp.aspx
           return ['vcruntime140']
        #########################################

        else:
            raise ValueError("Unknown MS Compiler version %s " % msc_ver)

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 ----------------------------------------
  Failed building wheel for winrandom
  Running setup.py clean for winrandom
Failed to build winrandom
Installing collected packages: winrandom
  Running setup.py install for winrandom ... error
    Complete output from command I:\PYTHON~1\python.exe -u -c "import setuptools, tokenize;__file__='K:\\temp\\pip-install-g_5exyuk\\winrandom\\setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record K:\temp\pip-record-qp70g1vo\install-record.txt --single-version-externally-managed --compile:
    running install
    running build
    running build_ext
    building 'winrandom' extension
    creating build
    creating build\temp.win32-3.6
    creating build\temp.win32-3.6\Release
    creating build\temp.win32-3.6\Release\src
    I:\gcc\bin\gcc.exe -mdll -O -Wall -II:\PYTHON~1\include -II:\PYTHON~1\include -c src/winrandom.c -o build\temp.win32-3.6\Release\src\winrandom.o
    gcc: error: CreateProcess: No such file or directory
    error: command 'I:\\gcc\\bin\\gcc.exe' failed with exit status 1

    ----------------------------------------

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# import winrandom
from . import winrandom

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i:\python364\lib\site-packages\scrypt\scrypt.py in <module>()
     13 __version__ = '0.8.6'
     14 
---> 15 _scrypt = cdll.LoadLibrary(imp.find_module('_scrypt')[1])
     16 
     17 _scryptenc_buf = _scrypt.exp_scryptenc_buf

i:\python364\lib\ctypes\__init__.py in LoadLibrary(self, name)
    424 
    425     def LoadLibrary(self, name):
--> 426         return self._dlltype(name)
    427 
    428 cdll = LibraryLoader(CDLL)

i:\python364\lib\ctypes\__init__.py in __init__(self, name, mode, handle, use_errno, use_last_error)
    346 
    347         if handle is None:
--> 348             self._handle = _dlopen(self._name, mode)
    349         else:
    350             self._handle = handle

OSError: [WinError 193] %1 不是有效的 Win32 应用程序。

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D:\Users\tracis>python -m pip uninstall scrypt
Uninstalling scrypt-0.8.6:
  Would remove:
    i:\python~1\lib\site-packages\_scrypt.cp36-win32.pyd
    i:\python~1\lib\site-packages\scrypt-0.8.6.dist-info\*
    i:\python~1\lib\site-packages\scrypt\*
Proceed (y/n)? y
  Successfully uninstalled scrypt-0.8.6

D:\Users\tracis>python -m pip install K:\scrypt-0.8.5-cp36-cp36m-win32.whl
Processing k:\scrypt-0.8.5-cp36-cp36m-win32.whl
Installing collected packages: scrypt
Successfully installed scrypt-0.8.5

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# 作业
my_list = [n**3 for n in range(1, 11)]
print(my_list)

my_dictionary = dict(zip(range(1, 11), [n**2 for n in range(1, 11)]))
print(my_dictionary)

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[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000]
{1: 1, 2: 4, 3: 9, 4: 16, 5: 25, 6: 36, 7: 49, 8: 64, 9: 81, 10: 100}

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# 创建

# 元素可以是任意类型
my_list = [3, 'apple', 3.14, [1, 2, 3], {'name': 'yjcps'}]
print(my_list)

# 列表生成式
my_num = [n+1 for n in range(10)]
print(my_num)

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[3, 'apple', 3.14, [1, 2, 3], {'name': 'yjcps'}]
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

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# 使用整数下标访问元素，第一个元素从0开始
print(my_list[0])
print(my_list[2])
# 可以使用负数
print(my_list[-3])

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3
3.14
3.14

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# 元素个数，列表长度
print(len(my_list))

1

5

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# 添加元素
my_list.append(555) # 添加到末尾
print(my_list)
my_list.insert(-2, 'steem') #指定位置
print(my_list)
my_list.extend([16,22,73,45])
print(my_list)

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[3, 'apple', 3.14, [1, 2, 3], {'name': 'yjcps'}, 555]
[3, 'apple', 3.14, [1, 2, 3], 'steem', {'name': 'yjcps'}, 555]
[3, 'apple', 3.14, [1, 2, 3], 'steem', {'name': 'yjcps'}, 555, 16, 22, 73, 45]

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# 遍历列表
for item in my_list:
    print(item)

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11

3
apple
3.14
[1, 2, 3]
steem
{'name': 'yjcps'}
555
16
22
73
45

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# 删除元素
my_list.remove(3.14)
print(my_list)
del my_list[-1]
print(my_list)
my_list.remove('apple')
print(my_list)

print()

my_list.clear() # 清空
print(my_list)

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[3, 'apple', [1, 2, 3], 'steem', {'name': 'yjcps'}, 555, 16, 22, 73, 45]
[3, 'apple', [1, 2, 3], 'steem', {'name': 'yjcps'}, 555, 16, 22, 73]
[3, [1, 2, 3], 'steem', {'name': 'yjcps'}, 555, 16, 22, 73]

[]

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# 切片 list[起:s止:步伐]

print(my_num)
print(my_num[2:5])
print(my_num[1:8:2])
print(my_num[3:-3])
print(my_num[-2:3:-1])
print(my_num[::-1])

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[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
[3, 4, 5]
[2, 4, 6, 8]
[4, 5, 6, 7]
[9, 8, 7, 6, 5]
[10, 9, 8, 7, 6, 5, 4, 3, 2, 1]

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# 排序
my_num = [11, 4, 56, 98, 34, 6, 77, 23, 12.4, 3]
print(sorted(my_num))
print(sorted(my_num, reverse=True))
print(my_num) # 不改变原来的列表

print()

my_num.sort(reverse=True)
print(my_num) # 改变原来的列表

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[3, 4, 6, 11, 12.4, 23, 34, 56, 77, 98]
[98, 77, 56, 34, 23, 12.4, 11, 6, 4, 3]
[11, 4, 56, 98, 34, 6, 77, 23, 12.4, 3]

[98, 77, 56, 34, 23, 12.4, 11, 6, 4, 3]

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# 创建

my_dictionary = {
    'A': 1,
    'B': 2,
    'C': 3,
    'D': 4,
    'E': 5
}

print(my_dictionary)

list_keys = ['A', 'B', 'C', 'D', 'E', 'F', 'G']
list_values = [1, 2, 3, 4, 5, 6, ]

my_dictionary = dict(zip(list_keys, list_values))
print(my_dictionary)

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{'A': 1, 'B': 2, 'C': 3, 'D': 4, 'E': 5}
{'A': 1, 'B': 2, 'C': 3, 'D': 4, 'E': 5, 'F': 6}

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# 访问
print(my_dictionary['B'])

print(my_dictionary.keys())
print(my_dictionary.values())

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2
dict_keys(['A', 'B', 'C', 'D', 'E', 'F'])
dict_values([1, 2, 3, 4, 5, 6])

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for k, v in my_dictionary.items():
    print(k, v)

print()

for k in my_dictionary:
    print(my_dictionary[k])

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13

A 1
B 2
C 3
D 4
E 5
F 6

1
2
3
4
5
6

1
2
3
4
5
6
7

# 更新
my_dictionary['A'] = 'one'
print(my_dictionary)

my_dictionary.update({'B': 'two', 'C': 'three'})
my_dictionary.update(F='six')
print(my_dictionary)

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{'A': 'one', 'B': 2, 'C': 3, 'D': 4, 'E': 5, 'F': 6}
{'A': 'one', 'B': 'two', 'C': 'three', 'D': 4, 'E': 5, 'F': 'six'}

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# 删除
print(my_dictionary.popitem())
print(my_dictionary.popitem())
print(my_dictionary)

print()

print(my_dictionary.pop('B'))
print(my_dictionary)

print()

my_dictionary.clear() # 清空
print(my_dictionary)

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('F', 'six')
('E', 5)
{'A': 'one', 'B': 'two', 'C': 'three', 'D': 4}

two
{'A': 'one', 'C': 'three', 'D': 4}

{}

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# 创建

my_set_1 = {1,3,4,4,5,6,7,8}
my_set_2 = set(range(10))
print(my_set_1)
print(my_set_2)

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{1, 3, 4, 5, 6, 7, 8}
{0, 1, 2, 3, 4, 5, 6, 7, 8, 9}

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10

# 增删改 

my_set_1.add(99)
my_set_1.add(45)
print(my_set_1)


print(my_set_1.pop())
print(my_set_1.pop())
print(my_set_1)

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4

{1, 3, 4, 5, 6, 7, 8, 99, 45}
1
3
{4, 5, 6, 7, 8, 99, 45}

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2

my_set_1.discard(6)
print(my_set_1)

1

{4, 5, 7, 8, 99, 45}

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2

my_set_1.remove(8)
print(my_set_1)

1

{4, 5, 7, 99, 45}

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2

my_set_1.update([8, 15])
print(my_set_1)

1

{4, 5, 7, 8, 99, 45, 15}

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4

# 遍历

for s in  my_set_1:
    print(s)

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2
3
4
5
6
7

4
5
7
8
99
45
15

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# 运算

print(my_set_1 & my_set_2)  # 交集
print(my_set_1 | my_set_2)  # 并集
print(my_set_1 - my_set_2)  # 差集
print(my_set_1 ^ my_set_2)  # 对称差集

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{8, 4, 5, 7}
{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 15, 99, 45}
{99, 45, 15}
{0, 1, 2, 3, 99, 6, 9, 45, 15}

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3

# 创建
my_tuple = ('yjcps', 123, 'hacper', 55)
print(my_tuple)

1

('yjcps', 123, 'hacper', 55)

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# 访问

print(my_tuple[2])

1

hacper

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2

# 不可修改
my_tuple[1] = 456

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---------------------------------------------------------------------------

TypeError                                 Traceback (most recent call last)

<ipython-input-24-703d73c28b82> in <module>()
      1 # 不可修改
----> 2 my_tuple[1] = 456


TypeError: 'tuple' object does not support item assignment

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# 创建字符串
text_1 = 'betty bought a bit of butter but the butter was bitter'
text_2 = "cat bat mat cat bat cat"
text_3 = '''
    Beautiful is better than ugly.
    Explicit is better than implicit.
    Simple is better than complex.
    Complex is better than complicated.
    Flat is better than nested.
    Sparse is better than dense.
'''

# 字符串长度
print(len(text_1), len(text_2), len(text_3))

1

54 23 214

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8

# 首字母大写
print(text_1.capitalize())

# 全部转换为大写
print(text_2.upper())

# 全部转换为小写
print(text_2.lower())

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Betty bought a bit of butter but the butter was bitter
CAT BAT MAT CAT BAT CAT
cat bat mat cat bat cat

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# 检查字符串的开头结尾
print(text_2.startswith('cat'))
print(text_2.endswith('bat'))

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True
False

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5

# 切片，拼接

print(text_3[4:35])
print(text_3[-130:-108])
print(text_3[35:4:-1])

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 Beautiful is better than ugly.
 is better than comple

.ylgu naht retteb si lufituaeB

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print(text_1 + text_2)
print('#'.join(text_2))

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betty bought a bit of butter but the butter was bittercat bat mat cat bat cat
c#a#t# #b#a#t# #m#a#t# #c#a#t# #b#a#t# #c#a#t

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# 分割

print(text_2.split())
print(','.join(text_2.split())) 

print()

print(text_3.split('.'))

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['cat', 'bat', 'mat', 'cat', 'bat', 'cat']
cat,bat,mat,cat,bat,cat

['\n    Beautiful is better than ugly', '\n    Explicit is better than implicit', '\n    Simple is better than complex', '\n    Complex is better than complicated', '\n    Flat is better than nested', '\n    Sparse is better than dense', '\n']

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# 替换

print(text_1.replace('butter', 'hacper'))

1

betty bought a bit of hacper but the hacper was bitter

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# 去除首尾某些字符
text_4 = '   123hello321   '
print(text_4.strip()) # 空格

text_4 = '****123hello321****'
print(text_4.strip('*')) # '*'

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123hello321
123hello321