Skip to main content

A very easy tool to deal your data

Project description

0 安装 找到终端,再终端内输入以下代码 安装 pip install elias 更新 pip install elias --upgrade

1 数据库相关 1.1 mysql 1.1.1 查询 输入:sql;hosts 输出:DataFrame(pandas DataFrame 后文简称 df) from elias import usual as u

mysql查询

df = u.mysql_select('show tables', hosts=u.all_hosts('test'))

1.1.2 写入 输入:df;tablename;hosts;update(在表内新增一个字段用于记录更新时间) 输出:None —— 实体表 (对应hosts里,会有一张叫tablename的实体表,内容是df) from elias import usual as u

mysql写入

u.mysql_write(df,'table_name',update = True, hosts=u.all_hosts('test'))

1.1.3 DDL

from elias import usual as u u.mysql_ddl(sql,hosts)

1.1.4 加索引 from elias import usual as u u.mysql_add_index(column,table,hosts)

1.1.5 加字段注释 from elias import usual as u u.mysql_column_comment(table = 'dim_month',column = 'month_name',comment = '',hosts={},column_type = None)

1.2 clickhouse

1.2.1 查询 from elias import usual as u df = u.clickhouse_select(sql,hosts)

1.2.2 写入 (测试中) from elias.Scripts import py_clickhouse as c

clickhouse 写入

c.ch_write(df,table_name = 'test_table',comment = 'test',hosts_write= u.all_hosts(name = 'ch_bi_report'),update = True)

1.2.3 DDL from elias import usual as u u.clickhouse_ddl(sql,hosts)

1.2.4 同步表(mysql --> clickhouse) 将其他mysql数据源的table,同步进clickhouse。 from elias import usual as u from elias.Scripts import vm_clickhouse as vc

vc.auto_clickhouse( origin_table_name = 'assets_ads_snd_receivable_amount_history_d_i', origin_hosts= u.all_hosts('bi_data_warehouse'), target_hosts = u.all_hosts('ch_bi_report') )

1.3 Maxcompute 1.3.1 查询

from elias import usual as u df = u.mc_select(sql,hosts)

1.3.2 DDL from elias import usual as u u.mc_ddl(sql,hosts)

2 Datax相关

2.1 自动建表 from elias.datax import auto_create_table as act from elias import usual as u

origin_table_name = 'om_t_shop' origin_hosts = u.all_hosts('om') target_table_name = 'your_table_name7' target_hosts = u.all_hosts('mc')

act.auto_create(origin_table_name,origin_hosts,target_table_name,target_hosts,updated = True) 2.2 生成json

from elias.datax import main main.run({origin_table_name,origin_hosts,target_table_name,target_hosts})

2.2 同步数据 2.2.1 方法1 import os from elias import usual as u from elias import config_env_variable as ev logger = u.logger() config_path = ev.environ_get() config = ev.elias_config()

=============================================================================

获取路径

获取当前文件的路径

current_file_path = os.path.abspath("file")

获取当前文件所在的目录

current_directory = os.path.dirname(current_file_path) logger.info(f"当前文件的目录路径:{current_directory}")

获取main.py所在的目录

main_path = os.path.join(current_directory,"main.py") logger.info("main.py的绝对路径是:{}".format(main_path))

获取DataX的路径

run_path = os.path.join(config.datax_path,r"bin\datax.py") job_path = os.path.join(config.datax_path,r"job")

=============================================================================

方法1

from elias.datax import main

data = { "sourcename":'financial_data', "sourcetable":'rpa_ali_journal_data', "targetname":'mc2', "targettable":'test_all_journal0' }

建表

file_path = main.run(data)

同步

u.run_cmd_os(rf"python {run_path} {file_path}")

2.2.2 方法2 import os from elias import usual as u from elias import config_env_variable as ev logger = u.logger() config_path = ev.environ_get() config = ev.elias_config()

=============================================================================

获取路径

# 获取当前文件的路径

current_file_path = os.path.abspath("file")

# 获取当前文件所在的目录

current_directory = os.path.dirname(current_file_path) logger.info(f"当前文件的目录路径:{current_directory}")

# 获取main.py所在的目录

main_path = os.path.join(current_directory,"main.py") logger.info("main.py的绝对路径是:{}".format(main_path))

# 获取DataX的路径

run_path = os.path.join(config.datax_path,r"bin\datax.py") job_path = os.path.join(config.datax_path,r"job")

=============================================================================

方法2

sourcename='financial_data' sourcetable='rpa_ali_journal_data' targetname='mc2' targettable='test_all_journal7'

u.run_cmd_os('chcp 65001')

建表

u.run_cmd_os(rf"python {main_path} -s {sourcename} -st {sourcetable} -t {targetname} -tt {targettable}")

同步

from elias.datax import job target_hosts = u.all_hosts(name = targetname) file_name = job.get_filename(targettable, target_hosts) u.run_cmd_os(rf"python {run_path} {job_path}{file_name}")

3 其他 3.1 导入本地文件 from elias import config_env_variable as ev oar = ev.file_import(file_path,'oar') oar.main() (导入本地任务) from elias import config_env_variable as ev import os

读取环境变量

env_value = ev.environ_get(env_variable_name = "elias_config")

指定文件路径

file_path = os.path.join(env_value,r'bi_data_warehouse\mission_assets\ch_assets_dws_order_receivable_amount_d_f.py')

导入包

oar = ev.file_import(file_path,'oar2')

调用方法

oar.main()

3.2 翻译 from elias import usual as u chinese_input = '谢谢' english_output = u.translate_chinese_to_english(chinese_input) print("英文翻译:", english_output)

3.3

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

eliasliu-0.1.59.tar.gz (65.8 kB view details)

Uploaded Source

Built Distribution

eliasliu-0.1.59-py3-none-any.whl (72.3 kB view details)

Uploaded Python 3

File details

Details for the file eliasliu-0.1.59.tar.gz.

File metadata

  • Download URL: eliasliu-0.1.59.tar.gz
  • Upload date:
  • Size: 65.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.7

File hashes

Hashes for eliasliu-0.1.59.tar.gz
Algorithm Hash digest
SHA256 f87fe8e302405c094d959ba1ac4d6a07603091af868048690f53f93a2e44f1e6
MD5 054caef730a214c5ee72ce6c518bdcf0
BLAKE2b-256 cccd4414a23c982e40307604bcc87ada2c4a5fb09a55155dd1929951b9e38c37

See more details on using hashes here.

File details

Details for the file eliasliu-0.1.59-py3-none-any.whl.

File metadata

  • Download URL: eliasliu-0.1.59-py3-none-any.whl
  • Upload date:
  • Size: 72.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.7

File hashes

Hashes for eliasliu-0.1.59-py3-none-any.whl
Algorithm Hash digest
SHA256 abfa81b6c31ffd8fe9724e847a8dfaf2c5029cc3d93b8251077fd8f02dffefc7
MD5 24856d700ef4ff99e9ae6fe078f7c76f
BLAKE2b-256 aedc3266ca6904e89a7d4116771983acac00c86a953fb8a669851fa3e941c726

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page