Career_Level1

本文概述了软件开发领域的核心技术和工具,包括编程语言如C/C++及其库、Linux原理、测试技术、数据库原理等,并涉及网络协议、安全、前端技术等多个方面。

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Career Level1

1)编程语言

c/c++ 以及c/c++ library:

glibc, libstdc++, pthread, socket, sharedmemory

g++, gcc compiler, makefile, gdb

nm,objdump

valgrind

malloc的替代品

2)Linux 原理

linux内核原理

linux系统调用,中断(0x80)

Linux shell 工具以及外部工具,

linux启动过程

shell, sed , awk

netstat, vmstat, perf, strace, lsof, etc.


cpu cache, 内存对齐


3)测试技术

单元测试:gtest,gmock, gcov

性能测试:

流量录制:

压力测试:

4)数据库原理

MySQL

5)网络协议

tcp/udp 协议栈

http/http2

rtsp/rtp

6)安全相关

加解密算法: aes/rsa, md5, ssl ,https

web安全: crsf, xss, dns劫持,ddos

7)前端技术

浏览器原理

js/html

websocket协议

字符编码

restful接口设计


8)研发管理

git流程

静态代码检查

bug管理,需求管理,项目管理,资源管理

持续集成,hudson

9)运维管理

Nagios网络监控

Zabbix运维监控


10)架构技术

统一日志

服务发现

负载均衡

平行扩展

分布式服务

队列中间件zeromq

容灾设计

底层网络框架,libevent, ace



11)高级编程

数据结构

    hashmap,双向链表,b+树,平衡查找树,最小堆

设计模式

    derator模式

    reactor/procator模式

   statemachine模式

   职责链模式

  strategy模式

  

缓存设计

无锁编程

zerocopy

aio异步io

协议编解码protobuf

rpc设计, thrift

lua/python脚本嵌入


12)开源工具/开源组件


13)数据分析系统





class PrivateAPIService(BasePrivateApiService): def execute(self, **kwargs): begin_date = kwargs.get("begin_date") # 开始时间 begin_date_new = begin_date.replace("-", "") end_date = kwargs.get("end_date") # 结束时间 end_date_new = end_date.replace("-", "") sub_org = kwargs.get("sub_org") # 单位 sub_org_industry_level = kwargs.get("sub_org_industry_level") # 新增:单位所属层级 emp_name = kwargs.get("emp_name") # 新增:员工姓名 position_level = kwargs.get("position_level") highest_education = kwargs.get("highest_education") is_on_job = kwargs.get("is_on_job") is_head_emp = kwargs.get("is_head_emp") is_senior_emp = kwargs.get("is_senior_emp") is_full_external_director = kwargs.get("is_full_external_director") is_technology = kwargs.get("is_technology") national_technology_type = kwargs.get("national_technology_type") is_directly_research = kwargs.get("is_directly_research") is_fresh_graduate_career = kwargs.get("is_fresh_graduate_career") # 构建基本的过滤器 - 只包含必填条件 filter_ = { "month": {"gte": begin_date_new, "lte": end_date_new}, "depart_id": {"child_include": sub_org} } # 添加可选过滤条件 - 确保它们与必填条件组合使用 optional_filters = { "position_level": position_level, "highest_education": highest_education, "is_on_job": is_on_job, "is_head_emp": is_head_emp, "is_senior_emp": is_senior_emp, "is_full_external_director": is_full_external_director, "is_technology": is_technology, "national_technology_type": national_technology_type, "is_directly_research": is_directly_research, "is_fresh_graduate_career": is_fresh_graduate_career, "emp_name": emp_name } # 只添加非None且非空字符串的过滤条件 for key, value in optional_filters.items(): if value is not None and (not isinstance(value, str) or value.strip() != ""): filter_[key] = value # 打印最终使用的过滤器 print("Final filter:", filter_) # 获取表三的数据【计算发薪次数,构造{"证件号码": "单位名称"}】 report_emp_income_list = ModelUtil.list( "ReportEmpIncomeInfo", filter_, fields_key=[ "id_card", "sub_org_name", "emp_name", "department", "position_level", "highest_education", "is_on_job", "is_head_emp", "is_senior_emp", "is_full_external_director", "is_technology", "national_technology_type", "is_directly_research", "is_fresh_graduate_career", "basic_salary", "achievement_bonus", "term_incentive_income", "other_money_income", "subsidy_income", "deferred_income", "one_time_reward", "tax_before_income", "long_term_incentive_income", "total_income" ], extra_property={"role":"all"} ) # 打印 ReportEmpIncomeInfo 的 id_card print("ReportEmpIncomeInfo id_card:", [rep_["id_card"] for rep_ in report_emp_income_list]) id_card_name = collections.defaultdict(str) # {"证件号码": "单位名称"} id_card_count = {} # {"证件号码": 出现的次数} for rep_ in report_emp_income_list: id_card = rep_["id_card"] # 证件号码 if id_card not in id_card_count: id_card_count[id_card] = 0 id_card_count[id_card] += 1 id_card_name[id_card] = rep_["sub_org_name"] # 根据是否提供 sub_org_industry_level 来调整查询条件 filter_report_org = {"month": begin_date_new, "depart_id": {"child_include": sub_org}} if sub_org_industry_level is not None: # 如果提供了单位所属层级,则加入过滤条件 filter_report_org["sub_org_industry_level"] = sub_org_industry_level # 获取表一的数据 report_list = ModelUtil.list("ReportOrgInfo", filter_report_org, fields_key=["sub_org_name", "sub_org_industry_level"], extra_property={"role":"all"}) report_dict = {rep_["sub_org_name"]: rep_["sub_org_industry_level"] for rep_ in report_list} # {"单位名称": "所属层级"} # 获取人员的数据 emp_list = ModelUtil.list("Employee", filter_report_org, fields_key=["id", "name", "identity_card"], extra_property={"role":"all"}) emp_dict = {emp_["identity_card"]: emp_ for emp_ in emp_list} # {"identity_card": 员工信息} # 月份格式换回筛选器那种中间带-的格式 filter_report_org = {"month": {"gte": begin_date, "lte": end_date}, "depart_id": {"child_include": sub_org}} # 获取正式的数据 salaryzs_list = ModelUtil.list("salary_base.81", filter_report_org, fields_key=["employee_id", "n_field74", "n_field75"], extra_property={"role":"all"}) # salaryzs_dict = {emp_["employee_id"]: emp_ for emp_ in salaryzs_list} # {"employee_id": 数据} # 获取领导的数据 salaryld_list = ModelUtil.list("salary_base.163", filter_report_org, fields_key=["employee_id", "n_field51", "n_field52"], extra_property={"role":"all"}) salaryld_dict = {emp_["employee_id"]: emp_ for emp_ in salaryld_list} # {"employee_id": 数据} # 获取总助的数据 salaryzz_list = ModelUtil.list("salary_base.208", filter_report_org, fields_key=["employee_id", "n_field79", "n_field80"], extra_property={"role":"all"}) salaryzz_dict = {emp_["employee_id"]: emp_ for emp_ in salaryzz_list} # {"employee_id": 数据} # 构建用于存储特定字段值的字典 stored_values = {} # 更新result_list构造逻辑以符合新要求 result_list = [ { "identity_card": id_key, # 将 id_card 改为 identity_card "sub_org_name": re.sub(r"\(总部\)|\(本部\)|(总部)|(本部)", "", id_value), "sub_org_namee": id_value, # 新增字段,包含与 sub_org_name 相同的值 "sub_org_industry_level": report_dict.get(id_value), # 确保包含 sub_org_industry_level "count_": id_card_count.get(id_key), "emp_name": rep_.get("emp_name"), "department": rep_.get("department"), "position_level": rep_.get("position_level"), "highest_education": rep_.get("highest_education"), "is_on_job": rep_.get("is_on_job"), "is_head_emp": rep_.get("is_head_emp"), "is_senior_emp": rep_.get("is_senior_emp"), "is_full_external_director": rep_.get("is_full_external_director"), "is_technology": rep_.get("is_technology"), "national_technology_type": rep_.get("national_technology_type"), "is_directly_research": rep_.get("is_directly_research"), "is_fresh_graduate_career": rep_.get("is_fresh_graduate_career"), "basic_salary": rep_.get("basic_salary"), "achievement_bonus": rep_.get("achievement_bonus"), "term_incentive_income": rep_.get("term_incentive_income"), "other_money_income": rep_.get("other_money_income"), "subsidy_income": rep_.get("subsidy_income"), "deferred_income": rep_.get("deferred_income"), "one_time_reward": rep_.get("one_time_reward"), "tax_before_income": rep_.get("tax_before_income"), "long_term_incentive_income": rep_.get("long_term_incentive_income"), "total_income": rep_.get("total_income"), "id": emp_dict.get(id_key, {}).get("id"), # 加入 Employee 的 id "name": emp_dict.get(id_key, {}).get("name"), # 加入 Employee 的 name "salary_063": ( (stored_values.setdefault("salaryzs_063", {}).setdefault(emp_dict.get(id_key, {}).get("id"), salaryzs_dict.get(emp_dict.get(id_key, {}).get("id"), {}).get("n_field74", 0))) + (stored_values.setdefault("salaryld_063", {}).setdefault(emp_dict.get(id_key, {}).get("id"), salaryld_dict.get(emp_dict.get(id_key, {}).get("id"), {}).get("n_field51", 0))) + (stored_values.setdefault("salaryzz_068", {}).setdefault(emp_dict.get(id_key, {}).get("id"), salaryzz_dict.get(emp_dict.get(id_key, {}).get("id"), {}).get("n_field79", 0))) ), "salary_064": ( (stored_values.setdefault("salaryzs_064", {}).setdefault(emp_dict.get(id_key, {}).get("id"), salaryzs_dict.get(emp_dict.get(id_key, {}).get("id"), {}).get("n_field75", 0))) + (stored_values.setdefault("salaryld_064", {}).setdefault(emp_dict.get(id_key, {}).get("id"), salaryld_dict.get(emp_dict.get(id_key, {}).get("id"), {}).get("n_field52", 0))) + (stored_values.setdefault("salaryzz_069", {}).setdefault(emp_dict.get(id_key, {}).get("id"), salaryzz_dict.get(emp_dict.get(id_key, {}).get("id"), {}).get("n_field80", 0))) ) } for id_key, id_value in id_card_name.items() for rep_ in report_emp_income_list if rep_["id_card"] == id_key ] return {"list": result_list, "count": len(result_list)} 代码中实现emp_name过滤生效
08-14
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