那么结合我我已经提供你的所有代码,生成总代码’
时间: 2024-09-11 20:13:43 浏览: 44
结合您提供的代码片段,这是一个基本的框架,我们将它们整合在一起。请注意,这只是一个示例,实际的实现可能需要根据您的数据库配置、具体表结构以及实际需求调整。假设我们已经有了上述的`datetime`处理、数据库连接和表操作方法,以下是整合后的代码:
```python
from sqlalchemy import create_engine, MetaData, Table, select, insert
import datetime
class DataProcessor:
def __init__(self, database_conn):
self.engine = create_engine(database_conn)
self.metadata = MetaData(bind=self.engine)
self.transactions_table = Table('transactions', self.metadata, autoload_with=self.engine)
self.hourly_vehicle_counts_table = Table('hourly_vehicle_counts', self.metadata, autoload_with=self.engine)
def str_to_time(self, t):
return datetime.datetime.strptime(t, '%YY%mm%dd%HH%MM')
def time_to_str(self, t):
return t.strftime('%YY%mm%dd%HH%MM')
def get_five_minute_interval(self, t):
# ... (上文已经提供)
def get_past_time(self, current_time, minutes):
past_mins_ago = current_time - datetime.timedelta(minutes=minutes)
query = select([self.transactions_table]).where(self.transactions_table.c.transtime >= self.time_to_str(past_mins_ago))
return query
def process_data(self, m):
with self.engine.begin() as conn:
# 获取过去m分钟的数据
transaction_results = conn.execute(self.get_past_time(datetime.datetime.now(), m))
# 初始化分类计数器
data_by_model = {}
for row in transaction_results:
model = row.vehicle_model
time_key = self.get_five_minute_interval(self.time_to_str(row.transtime))
# 更新计数
if time_key not in data_by_model:
data_by_model[time_key] = {model: 0}
data_by_model[time_key][model] += 1
# 插入到数据库
insert_data = [(time_key, model, count) for time_key, model_count in data_by_model.items() for model, count in model_count.items()]
insert_query = insert_statement(self.hourly_vehicle_counts_table, ['time_interval', 'model', 'count'], insert_data)
try:
conn.execute(insert_query)
except Exception as e:
print(f"Error inserting data: {e}")
# 示例数据库连接
database_conn = 'your_database_connection_string'
processor = DataProcessor(database_conn)
processor.process_data(30) # 处理过去30分钟的数据
```
这里的`insert_statement`是一个假设的函数,用于构造插入数据的SQL语句。在实际应用中,您需要将其替换为正确的插入语句。
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