我几乎使用一些Python代码来下载从SAS传递给它的库存数据字符串以构建一个文本文件以读回SAS，但最终输出文本文件保持为0字节，尽管运行没有错误的代码和我在日志中放置的打印语句似乎显示有效输出。这是代码：
import concurrent.futures
import urllib.request
import json
with open("C:\\Python33\\NASDAQ Stock Strings\\NASDAQ_Config_File_1_a.txt", "r") as myurls:
myurls2 = myurls.read().replace('\n', '')
URLS = [myurls2]
print('URLS =', URLS)
# Retrieve a single page and report the url and contents
def load_url(url, timeout):
conn = urllib.request.urlopen(url, timeout=timeout)
return conn.readall()
# We can use a with statement to ensure threads are cleaned up promptly
with concurrent.futures.ThreadPoolExecutor(max_workers=50) as executor:
# Start the load operations and mark each future with its URL
future_to_url = {executor.submit(load_url, url, 60): url for url in URLS}
c = 0
for future in concurrent.futures.as_completed(future_to_url):
url = future_to_url[future]
a = ''
b = ''
c += 1
mylen = (len(myurls2)) - 1
print('String length = %s' % (len(myurls2)))
a = myurls2[mylen:]
print('a=', a)
if a == 'a':
b = 'Ask'
elif a == 'y':
b = 'Dividend Yield'
elif a == 'b':
b = 'Bid'
elif a == 'd':
b = 'Dividend per Share'
elif a == 'b2':
b = 'Ask (Realtime)'
elif a == 'r1':
b = 'Dividend Pay Date'
elif a == 'b3':
b = 'Bid (Realtime)'
elif a == 'q':
b = 'Ex-Dividend Date'
elif a == 'p':
b = 'Previous Close'
elif a == 'o':
b = 'Open'
elif a == 'c1':
b = 'Change'
elif a == 'd1':
b = 'Last Trade Date'
elif a == 'c':
b = 'Change & Percent Change'
elif a == 'd2':
b = 'Trade Date'
elif a == 'c6':
b = 'Change (Realtime)'
elif a == 't1':
b = 'Last Trade Time'
elif a == 'k2':
b = 'Change Percent (Realtime)'
elif a == 'p2':
b = 'Change in Percent'
elif a == 'c8':
b = 'After Hours Change (Realtime)'
elif a == 'm5':
b = 'Change From 200 Day Moving Average'
elif a == 'c3':
b = 'Commission'
elif a == 'm6':
b = 'Percent Change From 200 Day Moving Average'
elif a == 'g':
b = 'Days Low'
elif a == 'm7':
b = 'Change From 50 Day Moving Average'
elif a == 'h':
b = 'Days High'
elif a == 'm8':
b = 'Percent Change From 50 Day Moving Average'
elif a == 'k1':
b = 'Last Trade (Realtime) With Time'
elif a == 'm3':
b = '50 Day Moving Average'
elif a == 'l':
b = 'Last Trade (With Time)'
elif a == 'm4':
b = '200 Day Moving Average'
elif a == 'l1':
b = 'Last Trade (Price Only)'
elif a == 't8':
b = '1 yr Target Price'
elif a == 'w1':
b = 'Days Value Change'
elif a == 'g1':
b = 'Holdings Gain Percent'
elif a == 'w4':
b = 'Days Value Change (Realtime)'
elif a == 'g3':
b = 'Annualized Gain'
elif a == 'p1':
b = 'Price Paid'
elif a == 'g4':
b = 'Holdings Gain'
elif a == 'm':
b = 'Days Range'
elif a == 'g5':
b = 'Holdings Gain Percent (Realtime)'
elif a == 'm2':
b = 'Days Range (Realtime)'
elif a == 'g6':
b = 'Holdings Gain (Realtime)'
elif a == 'k':
b = '52 Week High'
elif a == 'v':
b = 'More Info'
elif a == 'j':
b = '52 week Low'
elif a == 'j1':
b = 'Market Capitalization'
elif a == 'j5':
b = 'Change From 52 Week Low'
elif a == 'j3':
b = 'Market Cap (Realtime)'
elif a == 'k4':
b = 'Change From 52 week High'
elif a == 'f6':
b = 'Float Shares'
elif a == 'j6':
b = 'Percent Change From 52 week Low'
elif a == 'n':
b ='Name'
elif a == 'k5':
b = 'Percent Change From 52 week High'
elif a == 'n4':
b = 'Notes'
elif a == 'w':
b = '52 week Range'
elif a == 's':
b = 'Symbol'
elif a == 's1':
b = 'Shares Owned'
elif a == 'x':
b = 'Stock Exchange'
elif a == 'j2':
b = 'Shares Outstanding'
elif a == 'v':
b = 'Volume'
elif a == 'a5':
b = 'Ask Size'
elif a == 'b6':
b = 'Bid Size'
elif a == 'k3':
b = 'Last Trade Size'
elif a == 't7':
b = 'Ticker Trend'
elif a == 'a2':
b = 'Average Daily Volume'
elif a == 't6':
b = 'Trade Links'
elif a == 'i5':
b = 'Order Book (Realtime)'
elif a == 'l2':
b = 'High Limit'
elif a == 'e':
b = 'Earnings per Share'
elif a == 'l3':
b = 'Low Limit'
elif a == 'e7':
b = 'EPS Estimate Current Year'
elif a == 'v1':
b = 'Holdings Value'
elif a == 'e8':
b = 'EPS Estimate Next Year'
elif a == 'v7':
b = 'Holdings Value (Realtime)'
elif a == 'e9':
b = 'EPS Estimate Next Quarter'
elif a == 's6':
b = 'Revenue'
elif a == 'b4':
b = 'Book Value'
elif a == 'j4':
b = 'EBITDA'
elif a == 'p5':
b = 'Price-Sales'
elif a == 'p6':
b = 'Price-Book'
elif a == 'r':
b = 'P-E Ratio'
elif a == 'r2':
b = 'P-E Ratio (Realtime)'
elif a == 'r5':
b = 'PEG Ratio'
elif a == 'r6':
b = 'Price - EPS Estimate Current Year'
elif a == 'r7':
b = 'Price - EPS Estimate Next Year'
elif a == 's7':
b = 'Short Ratio'
print('b =', b)
print('c =', c)
filename = "%s" % (b)
filepath = "C:\\Python33\\Stock Data\\" + str(filename) + ".txt"
print(filepath)
print("future.result = ", future.result())
try:
data = future.result()
d = open(filepath,"wb")
d.write(data)
d.close
# do json processing here
except Exception as exc:
for e in range(1,11):
if len(data) > 0:
print('Byte length = %d' % (len(data)))
print(e)
print('%r generated an exception: %s' % (url, exc))
print('retrying %r' % (url))
def load_url(url, timeout):
conn = urllib.request.urlopen(url, timeout=timeout)
return conn.readall()
time.sleep(10)
print("press ENTER to exit")
else:
print('%r page is %d bytes' % (url, len(data)))
各种print语句显示正确拾取的源文本文件内容并传递给代码ok。第print("future result =", future.result())行显示以下结果：
b'31.90\r\n36.66\r\nN/A\r\n3.69\r\n25.52\r\n27.10\r\n525.33\r\n31.81\r\n56.90\r\n38.23\r\n23.86\r\n2.19\r\n66.93\r\n35.74\r\n21.74\r\n2.10\r\n26.08\r\n14.20\r\n26.73\r\n14.92\r\n48.42\r\n12.49\r\n19.31\r\n4.09\r\n3.37\r\n57.78\r\n45.85\r\n3.32\r\n60.02\r\n2.31\r\n18.50\r\n37.74\r\n3.42\r\n12.46\r\n14.03\r\n1.25\r\n15.13\r\n2.53\r\n1.73\r\n56.72\r\n44.98\r\n35.89\r\n1.05\r\n67.50\r\n17.35\r\n50.72\r\n20.72\r\n50.37\r\n6.27\r\n13.23\r\n77.50\r\n27.62\r\n24.49\r\n34.02\r\n24.56\r\n50.59\r\n25.50\r\n21.53\r\n31.33\r\n4.65\r\n4.65\r\n24.00\r\n52.04\r\n2.73\r\n24.78\r\n39.94\r\n20.57\r\n6.84\r\n2.97\r\n1.27\r\n24.08\r\n20.50\r\n7.44\r\n14.49\r\n13.22\r\n37.62\r\n4.39\r\n44.46\r\n44.46\r\n43.80\r\n22.58\r\n22.58\r\n48.92\r\n14.60\r\n50.12\r\n60.75\r\n2.36\r\n35.10\r\n8.47\r\n29.81\r\n53.13\r\n19.57\r\n12.95\r\n16.76\r\n59.70\r\n16.63\r\n4.74\r\n23.44\r\n37.52\r\n10.37\r\n52.81\r\n107.50\r\n6.64\r\n46.15\r\n15.50\r\n14.85\r\n72.06\r\n79.08\r\n14.25\r\n8.90\r\n1.91\r\n5.54\r\n35.43\r\n5.12\r\n177.09\r\n20.30\r\n20.60\r\n18.80\r\n28.30\r\n31.93\r\n31.93\r\n10.24\r\n1.65\r\n10.09\r\n1.83\r\n2.15\r\n74.23\r\n7.51\r\n14.38\r\n123.76\r\n12.89\r\n6.17\r\n23.22\r\n11.80\r\n19.70\r\n9.95\r\n17.93\r\n1.81\r\n4.18\r\n2.13\r\n42.81\r\n44.29\r\nN/A\r\n32.72\r\n373.95\r\n21.12\r\n1.85\r\n114.72\r\n20.25\r\n2.03\r\n16.89\r\n57.65\r\n13.28\r\n16.79\r\n42.24\r\n33.87\r\n77.08\r\n3.49\r\n7.26\r\nN/A\r\n33.95\r\n34.02\r\n32.33\r\n3.07\r\n2.42\r\n16.00\r\n2.87\r\n10.26\r\nN/A\r\nN/A\r\n13.45\r\n9.70\r\n17.36\r\n2.89\r\n14.61\r\n14.61\r\n29.00\r\n20.78\r\n11.39\r\n8.25\r\n71.81\r\n3.34\r\n22.15\r\n80.82\r\n47.80\r\n6.56\r\n26.67\r\n2.17\r\n28.43\r\n5.06\r\n48.16\r\nN/A\r\n6.00\r\n4.29\r\n20.20\r\n22.79\r\n17.75\r\n17.52\r\n17.52\r\n13.80\r\n'
这看起来对我来说是正确的价值，但只是需要清理。目标文本文件正确解析，错误处理下面的所有OK语句都会正确返回URL提交的字节长度。文本文件仍为空。
有人能发现我犯过的明显错误吗？
由于
答案 0 :(得分：1)
将d = open(filepath,"wb")和d.close()移到for循环之外。
循环的每次迭代都会删除并覆盖文件。 http://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files
编辑： 我没有看到文件路径是在forloop中计算的。我会做@sabbahillel所指出的，并以“ab”模式打开文件以确保它不会被覆盖。
答案 1 :(得分：0)
代码
d.close
给出结果
>>> d.close
<built-in method close of file object at 0x0000000002C171E0>
这是一个变量描述。要关闭文件，您需要指定
d.close()
如果各种值都适用于同一条数据，那么你可能最好用第1行的字段标题构建一个csv文件，显示你想要的标题字符串然后获取数据并使用翻译字典
indict = {'a':'Ask', 'b':'y', 'd':'Dividend per Share', 'b2':'Ask (Realtime)'}
outname = indict[inval]
使用csv.DictWriter（）输出csv文件，并使用您选择的字段标题，例如restval =＆＃39;＆＃39;和extrasaction =＆＃39;忽略＆＃39;
现在，您可以使用一个输入文件处理csv文件并对所有数据执行分析，而不是为每个数据单独输入文件。
注意：如果您以某种方式打开同一个文件两次，请使用＆＃39; ab＆＃39;为了不消灭以前的数据。总是打开“ab＆＃39;”是一个更好的主意。而不是＆＃39; wb＆＃39;除非您特别想要消除以前的任何数据。