def main(save_path, file_path=""):
if file_path == "":
code_list = keyword_list
else:
with open(file_path, "r") as f:
code_list = f.readlines()
page_num = int(input(highlight("请输入搜索页数: ")))
crawler = baidu_crawler()
exist_list = []
for filename in glob.glob(os.path.join(save_path, "*.json")):
name = os.path.split(filename)[-1].split(".")[0]
exist_list.append(name)
for i, code in enumerate(code_list):
print(highlight(f"[{i + 1} / {len(code_list)}] 正在搜索 {code} ..."))
if code in exist_list:
print(highlight("跳过，因为已经搜索过。"))
result = crawler.get_result(code + " site:gov.cn", pages=page_num)
with open(os.path.join(save_path, code + ".json"), "w") as f:
json.dump({"keyword": code, "data": result}, f)
def filter_xlsx(xlsx_path):
df = pd.read_excel(xlsx_path, header=[0])
matched = []
unmatched = []
df_remain = pd.DataFrame(columns=df.columns)
for i in range(df.shape[0]):
row = df.loc[i].values
raw_str = ""
for item in row:
raw_str = raw_str + " | " + str(item)
result = find_codes(raw_str)
ok = False
for code, rel_text, rel_type in result:
db_result, n_rel_text = db.search(code,
rel_text,
reverse_check=True)
if len(db_result) == 0:
unmatched.append((code, n_rel_text, rel_type, db_result))
else:
matched.append((code, n_rel_text, rel_type, db_result))
ok = True
if not ok:
df_remain.loc[df_remain.shape[0]] = df.loc[i]
while True:
command = input(
highlight(
f"""
\n检索完成。共检索条目{len(matched) + len(unmatched)}条。
输入 u[c] 查看未匹配条目，输入 m[c] 查看匹配条目，输入 q 退出，输入 s 保存未匹配: """, 31))
print("")
if "q" in command:
break
elif "u" in command:
display(unmatched, "c" in command)
elif "m" in command:
display(matched, "c" in command)
elif "s" in command:
filepath = input(highlight("请输入保存文件名 (xlsx): "))
writer = pd.ExcelWriter(filepath)
df_remain.to_excel(writer, header=True)
writer.save()
def main():
while True:
command = input(
highlight(
"""\n1 - 输入url
2 - 直接导入文本
3 - 导入xlsx
4 - 导入图片
q - 退出:
请输入指令: """, 31))
if command == "1":
print(highlight("输入url, 以#结束: "))
url_data = []
crawler = browser()
while True:
url = input()
if url == "":
continue
if url == "#":
break
url_data.append({
"url": url,
"text": crawler.get_result(url, plain=True)
})
filter_urls(url_data)
elif command == "2":
path = input("输入文本文件: ")
with open(path, "r") as f:
text = f.read()
filter(text)
elif command == "3":
path = input("输入 xlsx 文件: ")
filter_xlsx(path)
elif command == "4":
path = input("输入图片文件: ")
text = ocr_text(path)
print("\n" + text + "\n")
filter(text)
elif command == "q":
break
else:
print("请输入正确指令。")
def main():
idx = input(highlight("请输入本次任务编号（用来避免重复爬取）: "))
paths.update_path(idx)
while True:
command = input(
highlight(
"""\n1 - 爬取微博
2 - 对爬取微博进行索引（清空所有列表）
3 - 查看未处理相关新闻
4 - 查看已处理相关新闻
5 - 查看标星新闻
6 - 反向搜索航班/车次相关政府新闻
7 - 对政府新闻进行索引（清空所有列表）
8 - 清空下载内容
q - 退出:
请输入指令: """, 31))
if command == "1":
weibo_crawler.main(save_path=paths.weibo_path)
elif command == "2":
paths.clear(idx)
process_weibo()
elif command == "3":
display(paths.unread_post_filepath, "unread")
elif command == "4":
display(paths.read_post_filepath, "read")
elif command == "5":
display(paths.star_post_filepath, "star")
elif command == "q":
break
elif command == "6":
code_file = input(highlight("输入车次/航班列表 （留空则默认）:"))
baidu_crawler.main(save_path=paths.baidu_path, file_path=code_file)
elif command == "7":
paths.clear(idx)
process_baidu()
elif command == "8":
try:
empty_dir(paths.baidu_path)
empty_dir(paths.weibo_path)
print(highlight("成功。"))
except:
print(highlight("失败。", 31))
else:
print("请重新输入指令。")
def ocr_text(image_path):
with open(image_path, "rb") as image_file:
enc = base64.b64encode(image_file.read())
data = {
"app_id":
app_id,
"image":
enc,
"nonce_str":
''.join(random.sample(string.digits + string.ascii_letters, 32)),
"time_stamp":
int(time.time()),
}
sign = get_sign_str(data)
data["sign"] = sign
ret_str = ""
for i in range(5):
url = "https://api.ai.qq.com/fcgi-bin/ocr/ocr_generalocr"
r = requests.post(url, data=data)
if r.json()["ret"] == 0:
print(highlight("识别图片成功。"))
result = r.json()["data"]["item_list"]
last = result[0]["itemcoord"][0]["y"]
for item in result:
if item["itemcoord"][0]["y"] - last > 9:
last = item["itemcoord"][0]["y"]
ret_str += "\n"
ret_str += item["itemstring"] + " "
break
else:
print(highlight(f"识别图片失败，原因：{r.json()['msg']}"))
time.sleep(1)
return ret_str
def db_unique(f_type):
def match(text1, text2):
text1 = text1.upper()
text2 = text2.upper()
code_in_txt1 = [x for x in find_plain_code(text1)]
code_in_txt2 = [x for x in find_plain_code(text2)]
for code in code_in_txt1:
if code in code_in_txt2:
return True
return False
for i in range(len(db)):
for j in range(i + 1, len(db)):
data1 = db[i]
data2 = db[j]
if data1["t_type"] != f_type or data2["t_type"] != f_type:
continue
if match(data1["t_no"],
data2["t_no"]) and data1["t_date"] == data2["t_date"]:
if data1["t_type"] == 2 and data2["t_type"] == 2 and not match(
data1["t_no_sub"], data2["t_no_sub"]):
continue
if data1["verified"] != 2 and data2["verified"] != 2:
print("=" * 100)
print(highlight(f"id = {data1['id']} :"))
print(data1)
print(highlight(f"id = {data2['id']} :"))
print(data2)
print("=" * 100)
def search(code, rel_text, reverse_check=False):
result = []
dates = []
code = code.upper().replace(" ", "")
for i, element in enumerate(db):
code_in_no = find_codes(element["t_no"].replace(" ", ""))
for t_no, _, _ in code_in_no:
if code == t_no:
date_ok, date_key = date_contain(element["t_date"], rel_text)
if element["verified"] == 1:
verified = highlight("已审核")
elif element["verified"] == 0:
verified = highlight("未处理", 31)
else:
verified = highlight("未通过", 31)
if date_ok:
s = f"\t [#{i + 1}] {highlight(element['t_date'], 35)} | {highlight(element['t_no'], 32)} | {element['t_no_sub']} | 出发: {element['t_pos_start']} | 到达: {element['t_pos_end']} | {verified}"
dates.append(date_key)
else:
s = f"\t [#{i + 1}] {element['t_date']} | {highlight(element['t_no'], 32)} | {element['t_no_sub']} | 出发: {element['t_pos_start']} | 到达: {element['t_pos_end']} | {verified}"
if date_ok or not reverse_check:
result.append(s)
break
new_rel_text = rel_text
for x in dates:
new_rel_text = new_rel_text.replace(x, highlight(x, 35))
return result, new_rel_text
def display(ls, single=False):
for i, (code, rel_text, rel_type, db_result) in enumerate(ls):
if single:
print(
f"============================================================================"
)
print(rel_text)
else:
print(
f"============================================================================"
)
print(f"> [{i + 1}/{len(ls)}]")
print(highlight("相关编号:", 33) + code)
print(highlight("上下文:", 33) + rel_text)
print(highlight("类型:", 33) + rel_type)
print(highlight("已存在数据: ", 33))
for s in db_result:
print(s)
print(
f"============================================================================"
)
def main():
fail_list = []
for i, item in enumerate(db):
print(f"{i + 1} / {len(db)} ... ", end="", flush=True)
url = item["source"]
headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36'}
r = requests.get(url, headers=headers)
r.encoding = "utf-8"
result = find_codes(item["t_no"])
if len(result) > 0:
idx, _, _ = result[0]
else:
idx = item["t_no"]
codes = find_codes(r.text)
print("\r", end="")
ok = False
for code, _, _ in codes:
if similarity(code, idx) > 0.3:
ok = True
break
if ok:
continue
if idx in r.text:
continue
print(highlight(f"NO id = {item['id']} | ", 31) + " " + item["source"] + " " + item["t_no"])
fail_list.append(item["id"])
def print_stat(data):
author_list = []
author_count = {}
date_list = []
date_count = {}
for element in data:
author = element["name"]
date = element["time"]
if author not in author_list:
author_list.append(author)
author_count[author] = 0
author_count[author] += 1
if date not in date_list:
date_list.append(date)
date_count[date] = 0
date_count[date] += 1
print(highlight("\n来源统计: ", 33))
sorted_author_list = sorted(author_count.items(), key=lambda item: item[1])
for author, count in sorted_author_list:
print(highlight(author, 31) + ": " + highlight(count, 32))
print(highlight("\n日期统计: ", 33))
sorted_date_list = sorted(date_count.items(), key=lambda item: item[1])
for date, count in sorted_date_list:
print(highlight(date, 31) + ": " + highlight(count, 32))
if name in final_name_list:
continue
for k in range(5):
url = "https://s.weibo.com/user?q=" + parse.quote(
name) + "&Refer=user_user"
headers = {'User-Agent': random_ua()}
r = requests.get(url, headers=headers)
r.encoding = "utf-8"
result = re.search(r"weibo.com/u/(\d+)", r.text)
if result:
final_name_list.append(name)
final_id_list.append(result.group(1))
print(highlight(name, 32) + " " + result.group(1))
break
else:
print(highlight(name, 31))
time.sleep(1)
time.sleep(1 + random.randint(1, 2))
if i % 15 == 0:
time.sleep(7)
print(f"name_list = {final_name_list}")
print(f"id_list = {final_id_list}")
def display(filepath, catag):
with open(filepath, "r") as f:
data = json.load(f)
filter_command = input(highlight("需要筛选吗 (y/n): "))
if filter_command == "y":
data = filter_posts(data)
while True:
command = input(
f"\n载入 {len(data)} 条数据。输入 p - 导出到 xlsx，0 - 显示统计， 1 - 逐条显示，2 - 全部显示"
+ ("，3 - 全部标记为已读" if catag == "unread" else "") + "，q - 退出: ")
if command == "p":
export_xlsx(data)
elif command == "0":
print_stat(data)
elif command == "1" or command == "2":
for i, clue in enumerate(data):
db_result, n_rel_text = db.search(clue["code"],
clue["rel_text"],
reverse_check=True)
print(
f"============================================================================"
)
print(f"> [{i + 1}/{len(data)}]")
print(
highlight("是否标星", 33) +
("★" if is_star(clue["id"]) else ""))
print(highlight("Post ID:", 33) + clue["id"])
print(highlight("时间:", 33) + clue["time"])
print(
highlight("来源:", 33) + clue["source"] + " | " +
clue["name"])
print(highlight("网页:", 33) + clue["src_url"])
print(highlight("相关编号:", 33) + clue["code"])
print(highlight("上下文:", 33) + n_rel_text)
print(highlight("类型:", 33) + clue["rel_type"])
print(highlight("已存在数据: ", 33))
for s in db_result:
print(s)
print(
f"============================================================================"
)
if command == "1":
if catag == "unread":
print("输入 r 标记为已读，", end="")
next_step = input("(u)s （取消）标星该条数据，n 跳转到下一条，q 结束阅读。")
if next_step == "r" and catag == "unread":
mark_read_clue(clue)
elif next_step == "u":
unstar_clue(clue)
elif next_step == "s":
star_clue(clue)
elif next_step == "q":
break
elif command == "3":
if catag == "unread":
for clue in data:
mark_read_clue(clue)
print(f"已标记 {len(data)} 条数据为已读。")
else:
print("指令无效。")
elif command == "q":
break
else:
print("请输入正确的指令。")
def filter_posts(data):
print(highlight(f"共 {len(data)} 条线索。"))
author = input(highlight("指定来源微博 (不指定则为空，多个用空格隔开): "))
author_list = author.split()
start_date_str = input(highlight("输入开始日期 (yyyy-mm-dd): "))
while True:
try:
if start_date_str != "":
start_date = datetime.datetime.strptime(
start_date_str, "%Y-%m-%d")
break
except:
print(highlight("请输入正确日期格式。"))
end_date_str = input(highlight("输入结束日期 (yyyy-mm-dd): "))
while True:
try:
if end_date_str != "":
end_date = datetime.datetime.strptime(start_date_str,
"%Y-%m-%d")
break
except:
print(highlight("请输入正确日期格式。"))
keyword_filter = input(highlight("输入 f 筛选不包含疫情关键字的线索: "))
filter_type = input(highlight("输入 u 只显示未匹配线索，m 只显示匹配线索， a 显示所有线索（默认）: "))
result = []
for element in data:
if len(author_list) > 0:
ok = False
for author in author_list:
if author in element["name"]:
ok = True
if not ok:
continue
try:
clue_date = datetime.datetime.strptime(element["time"], "%Y-%m-%d")
except:
clue_date = None
if keyword_filter == "f":
contain_keyword = False
for keyword in keyword_list:
if keyword in element["rel_text"]:
contain_keyword = True
element["rel_text"] = element["rel_text"].replace(
keyword, highlight(keyword, 35))
if not contain_keyword:
continue
if clue_date and start_date_str != "" and clue_date < start_date:
continue
if clue_date and end_date_str != "" and clue_date > end_date:
continue
db_result, _ = db.search(element["code"],
element["rel_text"],
reverse_check=True)
if filter_type == "u" and len(db_result) > 0:
continue
if filter_type == "m" and len(db_result) == 0:
continue
element["src_url"] = element["src_url"]
result.append(element)
return result
from tools.common import highlight, find_codes, find_plain_code
import requests
import json
try:
db = json.loads(
requests.get(
"http://2019ncov2.toolmao.com/ncovadmin/list").text)["data"]
print(highlight(f"导入已录入信息 {len(db)} 条。"))
except:
try:
db = json.loads(
requests.get(
"http://2019ncov.nosugartech.com/data.json").text)["data"]
print(highlight(f"导入已录入信息 {len(db)} 条。"))
except:
print(highlight(f"导入已录入信息失败。"))
def date_contain(date, text):
_, month, day = date.split("-")
months = [month]
days = [day]
if month[0] == "0":
months.append(month[1])
if day[0] == "0":
days.append(day[1])
def filter(text):
need_keyword = input(highlight("是否需要检索关键词? (y/n): "))
print(highlight("开始检索..."))
result = find_codes(text)
unmatched = []
matched = []
unmatched_r = []
matched_r = []
export_data = []
for i, (code, rel_text, rel_type) in enumerate(result):
if need_keyword == "y":
ok = False
for keyword in keyword_list:
if keyword in rel_text:
ok = True
if not ok:
continue
db_result, n_rel_text = db.search(code, rel_text)
if len(db_result) == 0:
unmatched.append((code, n_rel_text, rel_type, db_result))
else:
matched.append((code, n_rel_text, rel_type, db_result))
db_result_r, n_rel_text_r = db.search(code, rel_text, True)
if len(db_result_r) == 0:
unmatched_r.append((code, n_rel_text_r, rel_type, db_result_r))
export_data.append({"code": code, "rel_text": rel_text})
else:
matched_r.append((code, n_rel_text_r, rel_type, db_result_r))
while True:
command = input(
highlight(
f"""
\n检索完成。共检索条目{len(result)}条。
[c] - 只输出上下文，默认关闭, [r] - 反向检索日期，默认关闭
输入u[c][r]查看未匹配条目，输入m[c][r]查看匹配条目，
输入 s 将保存未匹配条目
输入q退出: """, 31))
print("")
if "q" in command:
break
elif "u" in command:
if "r" in command:
display(unmatched_r, "c" in command)
else:
display(unmatched, "c" in command)
elif "m" in command:
if "r" in command:
display(matched_r, "c" in command)
else:
display(matched, "c" in command)
elif "s" in command:
export_xlsx(export_data,
columns=["相关文本", "相关编号"],
ids=["rel_text", "code"])
new_end = ""
for station in result:
ret, new_start = equiv(station, start_station)
if ret:
start_time = result[station]
ret, new_end = equiv(station, end_station)
if ret:
end_time = result[station]
return start_time, end_time, new_start, new_end
if __name__ == "__main__":
print(highlight("请输入火车信息: 日期 - 车次 - 出发站 - 结束站，以#结束:"))
infos = []
while True:
text = input()
if text == "#":
break
info = text.split()
infos.append({
"date": info[0],
"code": info[1],
"start": info[2],
"end": info[3]
})
searcher = Searcher()
def filter_urls(data):
need_keyword = input(highlight("是否需要检索关键词? (y/n): "))
print(highlight("开始检索..."))
unmatched = []
matched = []
export_data = []
for item in data:
text = item["text"]
url = item["url"]
if url == "":
continue
result = find_codes(text)
for i, (code, rel_text, rel_type) in enumerate(result):
if need_keyword == "y":
ok = False
for keyword in keyword_list:
if keyword in rel_text:
ok = True
if not ok:
continue
db_result, n_rel_text = db.search(code,
rel_text,
reverse_check=True)
if len(db_result) == 0:
unmatched.append((code, n_rel_text, rel_type, db_result))
export_data.append({
"code": code,
"rel_text": rel_text,
"src_url": url
})
else:
matched.append((code, n_rel_text, rel_type, db_result))
while True:
command = input(
highlight(
f"""
\n检索完成。共检索条目{len(matched) + len(unmatched)}条。
[c] - 只输出上下文，默认关闭。
输入 u[c] 查看未匹配条目，
输入 m[c] 查看匹配条目，
输入 s 将保存未匹配条目
输入q退出: """, 31))
print("")
if "q" in command:
break
elif "u" in command:
display(unmatched, "c" in command)
elif "m" in command:
display(matched, "c" in command)
elif "s" in command:
export_xlsx(export_data,
columns=["相关文本", "相关编号", "来源网址"],
ids=["rel_text", "code", "src_url"])