def save_task(task=None):
if task:
content = ""
try:
max_line = ConsumerConfig.log_max_line
max_rows = ConsumerConfig.log_max_rows
with open(task["log_path"], "r", encoding="utf-8") as f:
while max_line:
line = f.readline(max_rows)
if line:
content += line
max_line -= 1
else:
break
except Exception as e:
content += "log read error!\n\n"
content += e.__repr__()
client = get_mongodb_client()
coll = client[ConsumerConfig.mongodb_dbs_task][
ConsumerConfig.mongodb_col_task]
task.setdefault("log_content", content)
task.setdefault("end_time",
timekiller.get_now().strftime("%Y-%m-%d %H:%M:%S"))
coll.insert_one(task)
client.close()
def get_vector_wordsTemplate():
cza = get_mongodb_client()['news']['train']
titles = set()
for new in cza.find({}, {'_id': 0, 'label': 1, '标题': 1}):
titles |= set(cutTitle(new['标题']))
with open('wordsTemplate.json', 'w') as f:
f.write(json.dumps(list(titles), ensure_ascii=False))
def trainDataSet():
# mongoClient = get_mongodb_client()['news']['train']
with open('keyCounter.json', 'r') as f:
keyCounter = list(json.loads(f.read()).keys())
with open('wordsTemplate.json', 'r') as f:
json_data = json.loads(f.read())
# with open('train.txt', 'w+') as f:
# for key in keyCounter:
# index_dict = {}
# for new in mongoClient.find({'label': key}, {'_id': 0, 'label': 1, '标题': 1}):
# for word in cutTitle(new['标题']):
# if word in wordsTemplate:
# index = wordsTemplate.index(word)
# index_dict[index] = index_dict.get(index, 0) + 1
# sumValue = sum(index_dict.values())
# index_dict = {key: value / sumValue for key, value in index_dict.items()}
# f.write(json.dumps(index_dict, ensure_ascii=False) + '|' + key + '\n')
# del index_dict
# print(key, 'done')
cza = get_mongodb_client()['news']['train']
with open('train.txt', 'w+') as f:
for key in keyCounter:
index_dict = {}
jss = 0 # 训练数据是不是需要稍微限制一下。还是需要限制一下，应该本身自己分得就不是很对
for new in cza.find({'label': key}, {
'_id': 0,
'label': 1,
'标题': 1
}):
if jss == 5001: # 限制5k把
break
jss += 1
for word in cutTitle(new['标题']):
if word in json_data:
index = json_data.index(word)
index_dict[index] = index_dict.get(index, 0) + 1
dict_values = index_dict.values()
dict_values_max = max(dict_values)
dict_values_min = min(dict_values)
if dict_values_max == dict_values_min:
if dict_values_min == 1:
continue
else:
dict_values_min = dict_values_min / 2
denominator = dict_values_max - dict_values_min
new_index_dict = {}
for index_dict_key, index_dict_value in index_dict.items():
v = (index_dict_value - dict_values_min) / denominator
if v < 0.8:
v = min(max(v, 0.03), 0.06)
elif v < 0.5:
pass
elif v < 0.7:
v = v / 1.3
else:
v = v / 5
new_index_dict[index_dict_key] = float(v)
f.write(json.dumps(new_index_dict) + '|' + key + '\n')
del index_dict, new_index_dict
print(key, 'done')
def test6():
NO_D = re.compile('\d+').search
cza = get_mongodb_client()['news']['train']
titles = set()
all_label = set()
for new in cza.find({}, {'_id': 0, 'label': 1}):
all_label.add(new['label'])
for label in all_label:
jump = False
for fil in ['伊春', '文昌', '长治', '咸阳', '嘉兴', '贵州', '外埠', '阳泉', '盐城', '昌平',
'孙大军', '安顺', '宝坻', '山西', '巴中', '怀柔', '襄阳', '驻芜', '驻柳', '首页其他', '馆务', '馆藏',
'陵水', '南宁', '安阳', '乌海', '黎苗', '巴州', '盘锦', '凉都', '视频', '临夏', '柳州', '下载', '相关新闻',
'公开文件', '白沙', '顺义', '芜湖', '龙湾', '兴安', '兴谷', '衡水', '专题集锦', '河南', '走进', '图片',
'图表', '六个如何', '创模', '精彩', '他山之石', '好人', '焦作', '智库', '留言选登', '黔府', '两会',
'区人防办', '各地创建', '南开', '两会', '国有企业', '三变', '杨勤荣说', '项目介绍', '注销撤销', '网站首页',
'豫风楚韵', '澄迈', '桂林', '宜居生活', '百姓问政', '价格信息', '文件', '煤化', 'Home', '投资平台', '延庆',
'佳作欣赏', '代表建议', '信阳', '特色节目', '赛事动态', '主动发声', '创卫', '宿迁', '创建要闻', '创卫要闻']:
if fil in label:
jump = True
break
if jump:
continue
if cza.count({'label': label}) < 50:
continue
print(f'获取到: {label}')
for new in cza.find({'label': label}, {'_id': 0, '标题': 1}):
titles |= set([i for i in cutTitle(new['标题']) if not NO_D(i)])
print(len(titles)) # 501878 => 106506 => 88991
with open('allUniqueLabel.json', 'w') as f:
f.write(json.dumps(list(titles), ensure_ascii=False))
def get_all_key_counter():
cza = get_mongodb_client()['news']['train']
sdict = {}
for new in cza.find({}, {'_id': 0, 'label': 1, '标题': 1}):
sdict[new['label']] = sdict.get(new['label'], 0) + 1
with open('keyCounter.json', 'w') as f:
f.write(json.dumps(sdict, ensure_ascii=False))
def test11():
with open('allUniqueLabel.json', 'r') as f:
json_data = json.loads(f.read())
client = get_mongodb_client()['news']['test']
for doc in client.find({}):
wordTitle = doc['标题']
index_dict = {}
for word in cutTitle(wordTitle):
if word in json_data:
index = json_data.index(word)
index_dict[index] = index_dict.get(index, 0) + 1
wordLabel = None
wordValue = 0
with open('train.txt', 'r') as f:
for content in f:
train_json_data, label = content.strip().split('|')
trainSet = json.loads(train_json_data) # 得到训练数据
wordValueTemp = 0
for key, value in index_dict.items():
trainKey = trainSet.get(str(key), None)
if trainKey:
wordValueTemp += value * trainKey
if wordValueTemp > wordValue:
wordValue = wordValueTemp
label = '公示公告' if '公示' in label else label
label = '其他信息' if '住房资讯' in label else label
label = '其他信息' if '回应关切' in label else label
wordLabel = '其他信息' if '畜牧兽医' in label else label
print(f"v1:{doc['v1-label']}-v2:{doc['v2-label']}-v3:{wordLabel}")
client.update_one({'_id': doc['_id']}, {'$set': {'v3-label': wordLabel}})
client.close()
def __init__(self, crawler, mongodb_db, mongodb_coll, **kwargs):
self.not_log_detail = crawler.settings.getbool(
"mongodb_not_log_detail", True)
self.mongodb_client = get_mongodb_client(**kwargs)
self.mongodb = self.mongodb_client[mongodb_db][mongodb_coll]
crawler.spider.mongodb_client = self.mongodb_client
crawler.spider.mongodb = self.mongodb
def api_log_list(log_id=None):
col = get_mongodb_client()[ConsumerConfig.mongodb_dbs_task][
ConsumerConfig.mongodb_col_task]
if log_id:
doc = col.find_one({"_id": log_id}, {"log_content": 1})["log_content"]
return f"<pre>{doc}</pre>"
documents = col.find({}, {"pid": 0, "log_content": 0}). \
sort([('_id', -1)]).skip(0).limit(5)
return jsonify(list(documents))
def api_ziru(day=15):
mongodb_ziru_statistics = get_mongodb_client(
)["housePrice"]["ziru_zufang_statistics"]
documents = mongodb_ziru_statistics.find(
{"timestamp": {
"$gte": timekiller.get_past_day(day).timestamp()
}}, {"_id": 0})
documents = list(documents)
return jsonify({"status": 0, "data": {"ziru": documents}})
def api_lagou():
query = request.args.get("query", "python")
mongodb_lagou_statistics = get_mongodb_client(
)["job_lagou"][f"city_statistics_{query}"]
document = mongodb_lagou_statistics.find_one(
{"timestamp": timekiller.get_today().timestamp()}, {"_id": 0})
if document:
return jsonify({
"status": 0,
"data": {
"lagou": json.loads(document["statistics"])
},
"msg": "success",
})
else:
return jsonify({
"status": 2,
"data": "",
"msg": "Not query data",
}), 404
def test2():
cza = get_mongodb_client()['news']['train']
sett = set()
count = 0
NO_D = re.compile('\d+').search
SSUB = re.compile('\s').sub
for new in cza.find({}, {'金融分类': 1}):
ccc = new['金融分类'].split('-')
label = [i.strip() for i in ccc[-2:]]
if len(label[0]) != 4 and len(label[1]) != 4 and \
len(SSUB('', label[0])) != 4 and len(SSUB('', label[1])) != 4:
# cza.delete_one({'_id': new['_id']}) # 删除是不是有点久啊
continue
label = label[0] if len(label[0]) == 4 else label[1]
if NO_D(label):
# cza.delete_one({'_id': new['_id']}) # 删除是不是有点久啊
continue
# cza.update_one({'_id': new['_id']}, {'$set': {'label': label}})
count += 1
sett.add(label)
def test10(limit=-1):
with open('allUniqueLabel.json', 'r') as f:
json_data = json.loads(f.read())
right_num = 0
all_num = 0
for doc in get_mongodb_client()['news']['train'].find({}, {'_id': 0}):
if all_num == limit:
break
all_num += 1
wordTitle = doc['标题']
index_dict = {}
for word in cutTitle(wordTitle):
if word in json_data:
index = json_data.index(word)
index_dict[index] = index_dict.get(index, 0) + 1
wordLabel = None
wordValue = 0
with open('train.txt', 'r') as f:
for content in f:
train_json_data, label = content.strip().split('|')
trainSet = json.loads(train_json_data) # 得到训练数据
wordValueTemp = 0
for key, value in index_dict.items():
trainKey = trainSet.get(str(key), None)
if trainKey:
wordValueTemp += value * trainKey
if wordValueTemp > wordValue:
wordValue = wordValueTemp
label = '公示公告' if '公示' in label else label
label = '其他信息' if '住房资讯' in label else label
wordLabel = '其他信息' if '畜牧兽医' in label else label
print(f"原标题：{wordTitle}")
print(f"金融分类：{doc['金融分类']}")
print(f"原label：{doc['label']}")
print(f"预测分类为：{wordLabel}")
if doc['label'] == wordLabel:
print("预测正确\n")
right_num += 1
else:
print("预测错误\n")
print(f"正确率为：{100 * right_num / all_num}%")
# -*- coding: utf-8 -*-
import json
import logging
from collections import defaultdict
from minitools import timekiller
from minitools.db.mongodb import get_mongodb_client
from minitools.scrapy import miniSpider
from scrapy import FormRequest, Request
from scrapy.downloadermiddlewares.cookies import CookiesMiddleware
mongodb_client = get_mongodb_client()
class MySpider(miniSpider):
start_urls = ["https://www.lagou.com/jobs/allCity.html"]
custom_settings = {
"USER_AGENT":
"Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/79.0.3945.88 Safari/537.36",
"CONCURRENT_REQUESTS":
1,
"DOWNLOAD_DELAY":
3,
}
collect_url = "https://a.lagou.com/collect"
cookies_middleware = None
mongodb_coll = "city_statistics"
mongodb_db = "job_lagou"
cities_statistics = defaultdict(dict)
def check_response(self, response):
