def merge(start, end):
sql = (
"SELECT app_name, sector, sub_sector, os, active_users, daily_active_user,"
" total_use_time, starting_date FROM app WHERE source = 'QuestMobile' AND data_type='APP'"
" AND starting_date >= '%s' AND starting_date <= '%s'") % (start, end)
data = query(sql)
# key - [app_name, sector, sub_sector, staring_date, mau, dau, time]
data_dict = {}
for row in data:
app_name, sector, sub_sector, active_users, daily_active_user, total_use_time, \
starting_date = row["app_name"], row["sector"], row["sub_sector"], \
row["active_users"], row["daily_active_user"], row["total_use_time"], \
row["starting_date"]
key = app_name + str(starting_date)
if key in data_dict:
data_dict[key][4] += active_users
data_dict[key][5] += daily_active_user
data_dict[key][6] += total_use_time
else:
data_dict[key] = [
app_name, sector, sub_sector, starting_date, active_users,
daily_active_user, total_use_time]
insert_sql = (
"INSERT INTO questmobile_merge(app_name, sector, sub_sector, starting_date,"
" mau, dau, time) VALUES(%s, %s, %s, %s, %s, %s, %s)")
insert_batch(insert_sql, list(data_dict.values()))
def main(fpath, createddate, pattern=None):
sql = (
"INSERT INTO soufang(title, serial_num, AREA, release_date, is_individual, city, "
" url, picture_num, Tag, capture_datetime, createddate) "
" VALUES(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)")
for filename in list_files(fpath, pattern):
with open(filename, "r", encoding="utf8") as a_file:
# 跳过文件头
next(a_file)
insert_list, deduplicate_set = [], set()
for line in a_file:
fields = line.split(",")
# 过滤
if filters(fields):
fields.append(createddate)
url = fields[6]
# 开始除重
if url in deduplicate_set:
continue
else:
insert_list.append(fields)
deduplicate_set.add(url)
# 导入数据库
print("总共有：" + str(len(insert_list)) + "条记录")
insert_batch(sql, insert_list)
def gj_haoche(path, pattern=None):
sql = ("INSERT INTO Haoche(city,title,carddate,mileage,price,newcarprice,code,checker,"
" checkdate,url,createdAt,updatedAt) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)"
" ON DUPLICATE KEY UPDATE updatedAt=VALUES(updatedAt), price=VALUES(price)")
for file_name in list_files(path, pattern):
with open(file_name, "r", encoding="utf8") as a_file:
print(file_name + " starts to insert...")
insert_list, row_count = [], 0
for line in a_file:
fields = line.strip().split(",")
if len(fields) == 12:
# 计数器加1
row_count += 1
# 开始取值
carddate = datetime.strptime(fields[2], "%Y-%m") if fields[2] else None
city, title, mileage, price, newcarprice, code, checker, \
checkdate, url, createdAt, updatedAt = fields[0], fields[1], \
fields[3], fields[4], fields[5], fields[6], fields[7], fields[8], fields[9], \
fields[10], fields[10]
insert_list.append([city, title, carddate, mileage, price, newcarprice, code, \
checker, checkdate, url, createdAt, updatedAt])
# 如果超过100000行的话，重置计数器
if row_count >= 100000:
insert_batch(sql, insert_list)
print("100000 inserted...")
insert_list, row_count = [], 0
# 把最后没有到100000条的记录插入数据库
insert_batch(sql, insert_list)
print("Last ", len(insert_list), "inserted...")
def main(path, pattern=None):
sql = (
"INSERT INTO Haoche(city,title,carddate,mileage,price,newcarprice,code,checker,"
" checkdate,url,createdAt,updatedAt) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)"
" ON DUPLICATE KEY UPDATE updatedAt=VALUES(updatedAt), price=VALUES(price)")
for file_name in list_files(path, pattern):
with open(file_name, "r", encoding="utf8") as a_file:
# 日期
match = re.search(r"(\d{4}-\d{2}-\d{2})", file_name)
if match:
updatedAt = match.group(0)
# 跳过表头
next(a_file)
insert_list = []
for line in a_file:
fields = line.strip().split(",")
if len(fields) == 12:
# 开始取值
carddate = datetime.strptime(fields[2], "%Y-%m") if fields[2] else None
city, title, mileage, price, newcarprice, code, checker, \
checkdate, url = fields[0], fields[1], \
fields[3], fields[4], fields[5], fields[6], fields[7], fields[8], \
fields[9]
# 过滤无效数据
if filters(url, code, checkdate):
insert_list.append([
city, title, carddate, mileage, price, newcarprice, code,
checker, checkdate, url, updatedAt, updatedAt])
# 过滤完成，导入数据库
insert_batch(sql, insert_list)
def kuaidi(path, pattern=None):
sql = (
"INSERT INTO kuaidi(capture_dtm, city, longitude_request, latitude_request, "
" longitude_car, latitude_car, driver_id, driver_type, car_type, create_dt, flag_dt)"
" values(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)")
for file_name in list_files(path, pattern):
with open(file_name, "r", encoding="utf8") as a_file:
print(file_name + " starts to insert....")
insert_list, row_count = [], 0
for line in a_file:
fields = line.strip().split(",")
if len(fields) == 10:
# 计数器加1
row_count += 1
# 开始取值
capture_dtm, city, longitude_request, latitude_request, longitude_car, \
latitude_car, driver_id, driver_type, car_type = fields[0], fields[2], \
fields[3], fields[4], fields[5], fields[6], fields[7], fields[8], fields[9]
city = fields[2][:2] + re.sub(r"\d|,|市|南|北|上|下|\r|\n", "", fields[2][2:])
insert_list.append([
capture_dtm, city, longitude_request, latitude_request, longitude_car,
latitude_car, driver_id, driver_type, car_type, TODAY,
capture_dtm.split(" ")[0]])
# 如果超过100000行的话，重置计数器
if row_count > 100000:
insert_batch(sql, insert_list)
insert_list, row_count = [], 0
print("100000 inserted...")
# 把最后没有到100000条的记录插入数据库
insert_batch(sql, insert_list)
print("Last ", len(insert_list), "inserted...")
def local_ganji(fpath, pattern=None):
for filename in list_files(fpath, pattern):
sql = (
"INSERT INTO {table} VALUES(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,"
" %s, %s, %s, %s)")
# 正则匹配
regex = re.compile("\('([^\)]+)\)[,;]+")
# Map - 除重
a_dict = {}
with open(filename, "r", encoding="utf8") as a_file:
print(filename + " starts to insert...", flush=True)
for line in a_file:
# 匹配表名
if line.startswith("LOCK TABLES"):
table = re.search(r"`(.+)`", line).group(0).strip("`")
sql = sql.format(table=table)
# 匹配数据
if line.startswith("INSERT INTO"):
match = regex.findall(line)
for row in match:
fields = row.replace("'", "").split(",")
# 舍弃正则解析出错的记录（数量很少）
# if len(fields) != 14:
# print(fields, flush=True)
# continue
# 从11月4号开始添加一个字段
# 舍弃tt == 1的记录（大幅度减小记录数）
if fields[9] == "1":
continue
if len(fields) == 14:
fields.insert(11, None)
# mid - fields[0], createdDate - fields[13]
key = fields[0] + "-" + fields[14] + "-" + fields[9]
if key not in a_dict:
a_dict[key] = fields
else:
continue
elif len(fields) == 15:
# puid - fields[11], createdDate - fields[14]
key = fields[11] + "-" + fields[14] + "-" + fields[9]
if key not in a_dict:
a_dict[key] = fields
else:
continue
# 舍弃tt == 1的记录（大幅度减小记录数）
# if fields[9] == "1":
# continue
# else:
# # mid - fields[0], createdDate - fields[13]
# key = fields[0] + "-" + fields[13] + "-" + fields[9]
# if key not in a_dict:
# a_dict[key] = fields
# else:
# continue
insert_batch(sql, list(a_dict.values()))
print("Last ", len(a_dict), " inserted...", flush=True)
def ershoufang(fpath, pattern=None):
for filename in list_files(fpath, pattern):
sql = (
"INSERT INTO {table} VALUES(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,"
" %s, %s, %s, %s)")
# 正则匹配
regex = re.compile("\(([^\)]+)\)[,;]+")
# Map - 除重
a_dict = {}
with open(filename, "r", encoding="utf8") as a_file:
print(filename + " starts to insert...", flush=True)
for line in a_file:
# 匹配表名
if line.startswith("LOCK TABLES"):
table = re.search(r"`(.+)`", line).group(0).strip("`")
sql = sql.format(table=table)
print(sql)
# 匹配数据
if line.startswith("INSERT INTO"):
match = regex.findall(line)
for row in match:
fields = row.replace("'", "").split(",")
# 舍弃正则解析出错的记录（数量很少）
if len(fields) != 15:
print(fields, flush=True)
continue
# 舍弃tt == 1的记录（大幅度减小记录数）
if fields[9] == "1":
continue
else:
# 如果puid为NULL
if fields[11] == "NULL":
match = re.search("&entinfo=(\d+)", fields[8])
if match:
puid = re.search(
"&entinfo=(\d+)",
fields[8]).group().replace("&entinfo=", "")
else:
print("puid和URL都为空")
continue
else:
puid = fields[11]
# puid - fields[11], createdDate - fields[14]
key = puid + "-" + fields[14] + "-" + fields[9]
if key not in a_dict:
a_dict[key] = fields
else:
continue
insert_batch(sql, list(a_dict.values()))
print("Last ", len(a_dict), " inserted...", flush=True)
def wuba_job(fpath, pattern=None):
for filename in list_files(fpath, pattern):
sql = (
"INSERT INTO {table} VALUES(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,"
" %s, %s, %s, %s)")
# 正则匹配
regex = re.compile("\(([^\)]+)\)[,;]+")
merchants_ids_set = get_merchant_ids()
print(len(merchants_ids_set))
# Map - 除重
a_dict = {}
with open(filename, "r", encoding="utf8") as a_file:
print(filename + " starts to insert...", flush=True)
# 匹配数据
insert_list, line_count = [], 0
for line in a_file:
# 匹配表名
if line.startswith("LOCK TABLES"):
table = re.search(r"`(.+)`", line).group(0).strip("`")
sql = sql.format(table=table)
print(sql)
if line.startswith("INSERT INTO"):
# 计数器加1
line_count += 1
match = regex.findall(line)
for row in match:
fields = row.replace("'", "").split(",")
# if fields[9] == "1":
# continue
# 过滤Merchant Ids
if fields[0] in merchants_ids_set and fields[9] == "1":
continue
# 舍弃正则解析出错的记录（数量很少）
if len(fields) != 15:
print(fields, flush=True)
continue
# puid - fields[11], createdDate - fields[14]
key = fields[11] + "-" + fields[14] + "-" + fields[9]
if key not in a_dict:
a_dict[key] = fields
else:
continue
insert_list.append(fields)
if line_count >= 3000:
print("To insert " + str(len(insert_list)) + " records")
insert_batch(sql, insert_list)
insert_list, line_count = [], 0
insert_batch(sql, insert_list)
print("Last ", len(insert_list), " inserted...", flush=True)
def main(fpath, pattern=None):
for filename in list_files(fpath, pattern):
sql = (
"INSERT INTO cheyipai_b2b(auc_Id, car_Id, brand, manufacturer, model, final_offer,"
" winner_id, winner_id_nonlocal, mileage, reg_dt, reg_area,reg_area_total, "
" car_source_id, root_id, root_name, capture_dtm)"
" values(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)")
with open(filename, "r", encoding="utf8") as a_file:
print(filename)
next(a_file)
insert_list = []
for line in a_file:
fields = line.split(",")
insert_list.append(fields)
insert_batch(sql, insert_list)
def main(fpath, capture_dt, pattern=None):
sql = "INSERT INTO iwjw(url, city, NAME, pics, video, capture_dt) " " VALUES(%s, %s, %s, %s, %s, %s)"
for filename in list_files(fpath, pattern):
with open(filename, "r", encoding="utf8") as a_file:
# 跳过文件头
next(a_file)
insert_list, key_set = [], set()
for line in a_file:
fields = line.split(",")[:5]
if fields[0] not in key_set:
fields[1] = CITY_DICT.get(fields[1])
fields.append(capture_dt)
insert_list.append(fields)
key_set.add(fields[0])
insert_batch(sql, insert_list)
def new_version(path, table_name, pattern=None):
new_sql = (
"INSERT INTO " + table_name +
"(driver_id, city, status, driver_type, flag_dt) values(%s, %s, %s, %s, %s)")
for file_name in list_files(path, pattern):
# 日期
match = re.search(r"(\d{4}-\d{2}-\d{2})", file_name)
if match:
starting_date = match.group(0)
with open(file_name, "r", encoding="utf8") as a_file:
print(file_name + " starts to insert....", flush=True)
insert_list = []
for line in a_file:
fields = line.strip().split(",")
if len(fields) == 4:
fields[1] = fields[1][:2] + re.sub(r"\d|,|市|南|北|上|下|\r|\n", "", fields[1][2:])
fields.append(starting_date)
insert_list.append(fields)
insert_batch(new_sql, insert_list)
def main(fpath, capture_dt, pattern=None):
sql = (
"INSERT INTO lianjia(id, url, title, pics, is_exclusive, community, house_type, AREA, "
" orientation, price, down_payment, monthly_payment, deals_done, agent_comments, "
" customer_visits, route, city, capture_dt) "
" VALUES(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)")
for filename in list_files(fpath, pattern):
with open(filename, "r", encoding="utf8") as a_file:
# 跳过文件头
next(a_file)
insert_list = []
for line in a_file:
fields = line.split(",")
if len(fields) == FIELDS_LEN:
# 从URL中读取城市信息
city = CITYS.get(fields[1][7:9])
fields.extend([city, capture_dt])
insert_list.append(fields)
print("总共有：" + str(len(insert_list)) + "条记录")
insert_batch(sql, insert_list)
def insert_ayi(a_path, pattern=None):
# 读取已存在的阿姨
existing_ayi = query(AYI_SELECT_SQL)
ayi_dict = {}
for row in existing_ayi:
ayi_dict[row["uid"]] = row["entrytime"]
for file_name in list_files(a_path, pattern):
logging.debug("读取文件" + file_name)
with open(file_name, "r", encoding="utf8") as a_file:
# 跳过Header
next(a_file)
new_ayis, new_details = [], []
for line in a_file:
fields = line.strip().split(",")
if len(fields) == FIELDS_LEN:
address, age, comment, commentcountofthismonth, distance, distancewithunit, \
entrytime, goodrate, idcard, mobile, name, pic, province, servicecount, \
servicecountofthismonth, sex, star, uid, valid, workage, worktime, city, \
capturedate, appointmentdate = fields
# String -> Date
capturedate = datetime.strptime(capturedate, "%Y-%m-%d").date()
# 新阿姨根据单量推算entrytime
if uid not in ayi_dict:
entrytime = capturedate - timedelta(days=int(servicecount))
new_ayis.append([
uid, province, sex, city, name, mobile, str(entrytime), idcard, age, pic])
ayi_dict[uid] = entrytime
# 获取最新的entrytime
entrytime = ayi_dict[uid]
new_details.append([
address, age, comment, commentcountofthismonth, distance,
distancewithunit, entrytime, goodrate, idcard, mobile, name, pic,
province, servicecount, servicecountofthismonth, sex, star, uid, valid,
workage, worktime, city, capturedate, appointmentdate])
logging.debug(" 今日新阿姨数量: " + str(len(new_ayis)))
insert_batch(AYI_INSERT_SQL, new_ayis)
insert_batch(DETAILS_INSERT_SQL, new_details)
def read_sql_file(path):
for filename in list_files(path, "*.sql"):
sql = ("INSERT INTO {table}(cate1, cate2, cate3, cate4, cate5, cate6, cate7, time, plat,"
" name, sales, amount, deals) VALUES(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)"
"ON DUPLICATE KEY UPDATE sales=VALUES(sales), amount=VALUES(amount), deals=VALUES(deals)")
regex = re.compile("\(((\'[^\']+\',){10}\d+,\d+,\d+)\)")
# 正则匹配
with open(filename, "r", encoding="utf8") as a_file:
for line in a_file:
insert_list = []
if line.startswith("LOCK TABLES"):
table = re.search(r"`(.+)`", line).group(0).strip("`")
sql = sql.format(table=table)
print(sql)
if line.startswith("INSERT INTO"):
match = regex.findall(line)
for row in match:
fields = row[0].replace("'", "").split(",")
# if len(fields) == 13 and fields[7] == "201601":
if len(fields) == 13:
insert_list.append(fields)
insert_batch(sql, insert_list)
print(filename + " 更新完毕。。。")
def main(fpath, pattern=None):
for filename in list_files(fpath, pattern):
sql = (
"INSERT INTO {table} VALUES(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,"
" %s, %s, %s, %s)")
# 正则匹配
regex = re.compile("\(([^\)]+)\)[,;]+")
with open(filename, "r", encoding="utf8") as a_file:
print(filename + " starts to insert...", flush=True)
# 匹配数据
insert_list, line_count = [], 0
for line in a_file:
# 匹配表名
if line.startswith("LOCK TABLES"):
table = re.search(r"`(.+)`", line).group(0).strip("`")
sql = sql.format(table=table)
print(sql)
if line.startswith("INSERT INTO"):
# 计数器加1
line_count += 1
match = regex.findall(line)
for row in match:
fields = row.replace("'", "").split(",")
# 舍弃正则解析出错的记录（数量很少）
if len(fields) != 15:
print(fields, flush=True)
continue
if fields[9] == "1":
continue
insert_list.append(fields)
if line_count >= 2000:
print("To insert " + str(len(insert_list)) + " records")
insert_batch(sql, insert_list)
insert_list, line_count = [], 0
insert_batch(sql, insert_list)
print("Last ", len(insert_list), " inserted...", flush=True)
def wuba_ayi(path):
sql = ("INSERT INTO 58_ayi(address, age, comment, commentcountofthismonth, distance, "
" distancewithunit, entrytime, goodrate, idcard, mobile, NAME, pic, province, "
" servicecount, servicecountofthismonth, sex, star, uid, valid, workage, worktime, "
" city, capturedate, appointmentdate) VALUES(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, "
" %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)")
for file_name in list_files(path):
with open(file_name, "r", encoding="utf8") as a_file:
print(file_name + " starts to insert...")
insert_list, row_count = [], 0
# 跳过Header
next(a_file)
for line in a_file:
fields = line.strip().split(",")
if len(fields) == 24:
# 计数器加1
row_count += 1
# 开始取值
address, age, comment, commentcountofthismonth, distance, distancewithunit, \
entrytime, goodrate, idcard, mobile, NAME, pic, province, servicecount, \
servicecountofthismonth, sex, star, uid, valid, workage, worktime, city, \
capturedate, appointmentdate = fields[0], fields[1], fields[2], fields[3], \
fields[4], fields[5], fields[6], fields[7], fields[8] ,fields[9], fields[10], fields[11], \
fields[12], fields[13], fields[14], fields[15], fields[16], fields[17], \
fields[18], fields[19], fields[20], fields[21], fields[22], fields[23]
insert_list.append([address, age, comment, commentcountofthismonth, distance, \
distancewithunit, entrytime, goodrate, idcard, mobile, NAME, pic, \
province, servicecount, servicecountofthismonth, sex, star, uid, valid, \
workage, worktime, city, capturedate, appointmentdate])
# 如果超过100000行的话，重置计数器
if row_count >= 100000:
print("100000 inserted...")
insert_batch(sql, insert_list)
insert_list, row_count = [], 0
# 把最后没有到100000条的记录插入数据库
print("Last ", len(insert_list), "inserted...")
insert_batch(sql, insert_list)
def didizhuanche(path, table_name, pattern=None):
sql = (
"INSERT INTO " + table_name + "(driver_name, longitude, latitude, "
" cnt_order, license, car_type, driver_id, capture_dtm, city, created_dt, flag_dt) values("
" %s,%s, %s, %s, %s, %s, %s, %s, %s, %s, %s)")
for file_name in list_files(path, pattern):
with open(file_name, "r", encoding="utf8") as a_file:
print(file_name + " starts to insert....", flush=True)
insert_list, row_count = [], 0
for line in a_file:
fields = line.strip().split("\t")
if len(fields) == 14:
# 计数器加1
row_count += 1
# 开始取值
driver_name, longitude, latitude, cnt_order, license, car_type, driver_id, \
capture_dtm = fields[1], fields[3], fields[4], fields[8], fields[9], \
fields[10], fields[11], fields[12]
city = fields[13][:2] + re.sub(r"\d|,|市|南|北|上|下|\r|\n", "", fields[13][2:])
insert_list.append([
driver_name, longitude, latitude, cnt_order, license,
car_type, driver_id, capture_dtm, city, TODAY, capture_dtm.split(" ")[0]])
# 如果超过100000行的话，重置计数器
if row_count > 100000:
print("100000 inserted...", flush=True)
insert_batch(sql, insert_list)
insert_list, row_count = [], 0
elif len(fields) == 27:
# 计数器加1
row_count += 1
# 开始取值
driver_name, longitude, latitude, cnt_order, license, car_type, driver_id, \
capture_dtm = fields[1], fields[3], fields[4], fields[8], fields[9], \
fields[10], fields[11], fields[12]
city = fields[13][:2] + re.sub(r"\d|,|市|南|北|上|下|\r|\n", "", fields[13][2:])
insert_list.append([
driver_name, longitude, latitude, cnt_order, license, car_type, driver_id,
capture_dtm, city, TODAY, capture_dtm.split(" ")[0]])
driver_name, longitude, latitude, cnt_order, license, car_type, driver_id, \
capture_dtm = fields[14], fields[16], fields[17], fields[21], fields[22], \
fields[23], fields[24], fields[25]
city = fields[26][:2] + re.sub(r"\d|,|市|南|北|上|下|\r|\n", "", fields[26][2:])
insert_list.append([
driver_name, longitude, latitude, cnt_order, license, car_type, driver_id,
capture_dtm, city, TODAY, capture_dtm.split(" ")[0]])
# 如果超过100000行的话，重置计数器
if row_count > 100000:
print("100000 inserted...", flush=True)
insert_batch(sql, insert_list)
insert_list, row_count = [], 0
# 把最后没有到100000条的记录插入数据库
print("Last ", len(insert_list), "inserted...", flush=True)
insert_batch(sql, insert_list)
def main(path, pattern=None):
for filename in list_files(path, pattern):
match = re.search(r"(\d{4}-\d{2})", filename)
if match:
starting_date = match.group(0) + "-01"
all_lines = []
with open(filename, encoding="utf8") as a_csv:
spam_reader = csv.reader(a_csv, delimiter=",")
# 跳过第一行Title
next(spam_reader)
for row in spam_reader:
line = []
# app_id
line.append(row[8])
# app_name
line.append(row[9])
# app_url
line.append(row[13])
# app_iap
line.append(row[14])
# region
line.append(row[5])
# os
line.append("iOS")
# device
line.append(row[3])
# Source
line.append("Appannie")
# store
line.append("Apple")
# sector
line.append(row[1])
# sub_sector
line.append(row[15])
# type
line.append(row[4])
# rank
line.append(row[0])
# starting_date
line.append(starting_date)
# date_type
line.append("30")
# download_or_revenue
line.append(row[10])
# unit
line.append(row[11])
# app_average_price_usd
line.append(row[19])
# avg_rating_all
line.append(row[27])
# app_version
line.append(row[7])
# app_release_date
line.append(row[20])
# publisher_id
line.append(row[21])
# publisher_name
line.append(row[22])
# company_name
line.append(row[23])
# parent_company_name
line.append(row[24])
all_lines.append(line)
insert_sql = (
"INSERT INTO app_download(app_id, app_name, app_url, app_iap, region, os,"
" device, source, store, sector, sub_sector, type, rank, starting_date, date_type,"
" download_or_revenue, unit, app_average_price_usd, avg_rating_all, app_version, "
" app_release_date, publisher_id, publisher_name, company_name, parent_company_name)"
" values(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,"
" %s, %s, %s, %s, %s, %s)")
insert_batch(insert_sql, all_lines)
print(filename + "*************************Done.")
def main(new_date, old_date):
old = fetch_data(old_date)
new = fetch_data(new_date)
print("*******************************MAU*************************************")
mau_lines = []
for key, value in new.mau_dict.items():
old_mau_dict = old.mau_dict
sector = new.sector_dict.get(key).split("-")[0]
sub_sector = new.sector_dict.get(key).split("-")[1]
if key in old_mau_dict:
old_value = old_mau_dict.get(key)
margin = value - old_value
if margin > 0 and old_value > 0:
percent = (value - old_value) / old_value
print("%s\t%s\t%s\t%s\t%s\t%s" % (
key, sector, sub_sector, percent, value, old_value))
line_set = [
key, sector, sub_sector, "MAU", percent, value, old_value, new_date,
"QuestMobile"]
mau_lines.append(line_set)
# 二维Array，按照Array内部的Percent排序，从大到小，并且取前300个
# mau_lines = sorted(mau_lines, key=lambda l: l[4], reverse=True)[0:300]
mau_lines = sorted(mau_lines, key=lambda l: l[4], reverse=True)
print("*******************************DAU*************************************")
dau_lines = []
for key, value in new.dau_dict.items():
old_dau_dict = old.dau_dict
sector = new.sector_dict.get(key).split("-")[0]
sub_sector = new.sector_dict.get(key).split("-")[1]
if key in old_dau_dict:
old_value = old_dau_dict.get(key)
margin = value - old_value
if margin > 0:
percent = (value - old_value) / old_value
print("%s\t%s\t%s\t%s\t%s\t%s" % (
key, sector, sub_sector, percent, value, old_value))
line_set = [
key, sector, sub_sector, "DAU", percent, value, old_value, new_date,
"QuestMobile"]
dau_lines.append(line_set)
# dau_lines = sorted(dau_lines, key=lambda l: l[4], reverse=True)[0:300]
dau_lines = sorted(dau_lines, key=lambda l: l[4], reverse=True)
print("*******************************TIME*************************************")
time_lines = []
for key, value in new.time_dict.items():
old_time_dict = old.time_dict
sector = new.sector_dict.get(key).split("-")[0]
sub_sector = new.sector_dict.get(key).split("-")[1]
if key in old_time_dict:
old_value = old_time_dict.get(key)
margin = value - old_value
if margin > 0 and old_value > 0:
percent = (value - old_value) / old_value
print("%s\t%s\t%s\t%s\t%s\t%s" % (
key, sector, sub_sector, percent, value, old_value))
line_set = [
key, sector, sub_sector, "Time", percent, value, old_value, new_date,
"QuestMobile"]
time_lines.append(line_set)
# time_lines = sorted(time_lines, key=lambda l: l[4], reverse=True)[0:300]
time_lines = sorted(time_lines, key=lambda l: l[4], reverse=True)
# insert calculation into database
insert_sql = (
"INSERT INTO top_growth_apps(app_name, sector, sub_sector, type, growth,"
" new_data, old_data, starting_date, source) values(%s, %s, %s, %s, %s, %s, %s, %s, %s)")
insert_batch(insert_sql, mau_lines + time_lines + dau_lines)
def didi(path):
sql = ("INSERT INTO didi(driver_id, driver_name, license, longitude, latitude, "
" order_num, company, capture_dtm, city, flag_dt, createddate)"
" values(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)")
for file_name in list_files(path):
print(file_name)
with open(file_name, "r", encoding="utf8") as a_file:
insert_list, row_count = [], 0
for line in a_file:
print(line)
fields = line.split("\t")
length = len(fields)
if length == 10:
# 计数器加1
row_count += 1
# 开始取值
driver_id, driver_name, license, longitude, latitude, order_num, \
capture_dtm, city = fields[0], fields[1], fields[2], fields[5], fields[6], \
fields[7], fields[8], fields[9]
insert_list.append([driver_id, driver_name, license, longitude, latitude, \
order_num, None, capture_dtm, city, capture_dtm.split(" ")[0], TODAY])
# 如果超过100000行的话，重置计数器
if row_count > 100000:
print("100000 inserted...")
insert_batch(sql, insert_list)
insert_list, row_count = [], 0
elif length == 11:
# 计数器加1
row_count += 1
# 开始取值
driver_id, driver_name, license, longitude, latitude, order_num, company,\
capture_dtm, city = fields[0], fields[1], fields[2], fields[5], fields[6], \
fields[7], fields[8], fields[9], fields[10]
insert_list.append([driver_id, driver_name, license, longitude, latitude, \
order_num, company, capture_dtm, city, capture_dtm.split(" ")[0], TODAY])
# 如果超过100000行的话，重置计数器
if row_count > 100000:
print("100000 inserted...")
insert_batch(sql, insert_list)
insert_list, row_count = [], 0
elif length == 12:
# 计数器加1
row_count += 1
# 开始取值
driver_id, driver_name, license, longitude, latitude, order_num, company,\
capture_dtm, city = fields[0], fields[1], fields[2], fields[5], fields[6], \
fields[7], fields[8], fields[10], fields[11]
insert_list.append([driver_id, driver_name, license, longitude, latitude, \
order_num, company, capture_dtm, city, capture_dtm.split(" ")[0], TODAY])
# 如果超过100000行的话，重置计数器
if row_count > 100000:
print("100000 inserted...")
insert_batch(sql, insert_list)
insert_list, row_count = [], 0
elif length == 19:
# 计数器加1
row_count += 1
# 开始取值
driver_id, driver_name, license, longitude, latitude, order_num, \
capture_dtm, city = fields[0], fields[1], fields[2], fields[5], fields[6], \
fields[7], fields[8], fields[9]
insert_list.append([driver_id, driver_name, license, longitude, latitude, \
order_num, None, capture_dtm, city, capture_dtm.split(" ")[0], TODAY])
driver_id, driver_name, license, longitude, latitude, order_num, \
capture_dtm, city = re.findall(r"\d+", fields[9])[0], fields[10], fields[11], \
fields[14], fields[15], fields[16], fields[17], fields[18]
insert_list.append([driver_id, driver_name, license, longitude, latitude, \
order_num, None, capture_dtm, city, capture_dtm.split(" ")[0], TODAY])
# 如果超过100000行的话，重置计数器
if row_count > 100000:
print("100000 inserted...")
insert_batch(sql, insert_list)
insert_list, row_count = [], 0
elif length == 20:
# 计数器加1
row_count += 1
# 开始取值
driver_id, driver_name, license, longitude, latitude, order_num, \
capture_dtm, city = fields[0], fields[1], fields[2], fields[5], fields[6], \
fields[7], fields[8], fields[9]
insert_list.append([driver_id, driver_name, license, longitude, latitude, \
order_num, None, capture_dtm, city, capture_dtm.split(" ")[0], TODAY])
driver_id, driver_name, license, longitude, latitude, order_num, company, \
capture_dtm, city = re.findall(r"\d+", fields[9])[0], fields[10], fields[11], \
fields[14], fields[15], fields[16], fields[17], fields[18], fields[19]
insert_list.append([driver_id, driver_name, license, longitude, latitude, \
order_num, company, capture_dtm, city, capture_dtm.split(" ")[0], TODAY])
# 如果超过100000行的话，重置计数器
if row_count > 100000:
print("100000 inserted...")
insert_batch(sql, insert_list)
insert_list, row_count = [], 0
elif length == 21:
# 计数器加1
row_count += 1
# 开始取值
driver_id, driver_name, license, longitude, latitude, order_num, company,\
capture_dtm, city = fields[0], fields[1], fields[2], fields[5], fields[6], \
fields[7], fields[8], fields[9], fields[10]
insert_list.append([driver_id, driver_name, license, longitude, latitude, \
order_num, company, capture_dtm, city, capture_dtm.split(" ")[0], TODAY])
driver_id, driver_name, license, longitude, latitude, order_num, company, \
capture_dtm, city = re.findall(r"\d+", fields[10])[0], fields[11], fields[12], \
fields[15], fields[16], fields[17], fields[18], fields[19], fields[20]
insert_list.append([driver_id, driver_name, license, longitude, latitude, \
order_num, company, capture_dtm, city, capture_dtm.split(" ")[0], TODAY])
# 如果超过100000行的话，重置计数器
if row_count > 100000:
print("100000 inserted...")
insert_batch(sql, insert_list)
insert_list, row_count = [], 0
# 把最后没有到100000条的记录插入数据库
print("Last ", len(insert_list), "inserted...")
insert_batch(sql, insert_list)
