diff --git a/DownloadEmail.py b/DownloadEmail.py
index 311b709..c7f2e13 100644
--- a/DownloadEmail.py
+++ b/DownloadEmail.py
@@ -42,8 +42,6 @@ def begin():
global origin_window_handle
driver.get(Constant.BASE_URL)
origin_window_handle = driver.current_window_handle
- # driver.get('https://www.hxpdd.com/s/Q3QQGcH49TCm')
- # print(driver.find_element_by_tag_name('body').get_attribute('innerHTML'))
def switch_to_frame():
diff --git a/LICENSE b/LICENSE
new file mode 100644
index 0000000..261eeb9
--- /dev/null
+++ b/LICENSE
@@ -0,0 +1,201 @@
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diff --git a/README.md b/README.md
index 8a2260a..3b9f7d2 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,172 @@
-
+
+> 背景:因为每个月有报销发票的需求，但每次到报销发票的时候，都需要去邮箱上一个个把发票下载下来，然后分类整理。这些都是耗时且重复的动作，就想着能不能把它自动化，同时看看能不能结合上最近大火的AI
+> 目标：能够按要求自动下载发票文件，同时解析重命名发票文件
+## 自动下载邮件中附件
+这一步是很简单的啦，用Selenium就可以实现，我的是QQ邮箱。我们只需要打开浏览器按下F12一步步的查找从登录到进入邮件下载附件都需要点击哪些元素，然后用Selenium代替我们操作就行
+### 登录
+```python
+BASE_URL = 'https://mail.qq.com/'
+def begin():
+ global origin_window_handle
+ driver.get(Constant.BASE_URL)
+ origin_window_handle = driver.current_window_handle
+```
+这里登录就没有做的那么麻烦，自己扫码或者输入账号密码即可。
+### 获取邮件
+登录到QQ邮箱后，通过F12可以看到主要功能区是在iframe里面，因此我们要先点击收件箱然后切换到iframe中，否则没法找到元素
-# autoEmail
-通过RPA+AI的方式检索邮箱中带有指定关键字（目前是发票）的邮件，然后将其符合要求的发票附件下载，对于没有附件只有下载的链接的邮件，使用AI（目前是GPT）解析HTML找出符合要求的下载链接，进行点击下载。最后再将发票通过OCR
-识别然后让AI归类当前发票属于何种类别，然后按指定格式进行重命名。目前完成了初始目标，后续会继续丰富功能
+
+
+
+```python
+def switch_to_frame():
+ recv_option = util.getDelayElement(By.PARTIAL_LINK_TEXT, "收件箱")
+ recv_option.click()
+ main_frame = util.getDelayElement(By.CSS_SELECTOR, "#mainFrame")
+ driver.switch_to.frame(main_frame)
+```
+接着就获取邮件，每次只能获取当前页数的邮件，我这里是把未读和已读都获取到了
+```python
+def get_mail_list():
+ return driver.find_elements_by_class_name("M") + driver.find_elements_by_class_name("F")
+```
+### 处理邮件
+因为我只要处理发票的邮件，用了最简单的方式，只处理当前邮件标题是否包含发票两字，同时发票邮件包括两种，带有附件和不带有附件的，带有附件的是邮件里直接附上了发票文件。不带有附件的是邮件里给了一个链接，需要点击后才能下载或者跳转到其他网站下载。因为两种方式的处理方式不同，所以需要分开存储哪些是带有附件的哪些没带有附件。同时为了避免同名标题不同发票的情况，我们使用mailId来进行存储，后续通过mailId来定位每一个邮件
+
+
+```python
+def handle_mail():
+ global end_flag
+ invoice_list = []
+ mail_list = get_mail_list()
+ mail_num = len(mail_list)
+ print(f'mail_num:{mail_num}, page: {current_page}')
+ for mail in mail_list:
+ mailid = mail.find_element(By.CSS_SELECTOR, 'td.tl.tf ').find_element(By.TAG_NAME, 'nobr').get_attribute(
+ 'mailid')
+ title = mail.find_element_by_class_name("tt").text
+ if '发票' in title:
+ try:
+ mail.find_element(By.CSS_SELECTOR, 'div.cij.Ju')
+ invoice_list.append({'title': title, 'mailId': mailid})
+ except NoSuchElementException as e:
+ invoice_list.append({'title': title, 'mailId': mailid})
+ print(f'-------发票: {len(invoice_list)}-------')
+ for item in invoice_list:
+ monitor.reset_create()
+ mailId = item["mailId"]
+ title = item["title"]
+ tag = driver.find_element_by_xpath(f"//nobr[@mailid='{mailId}']")
+ tag.click()
+ time.sleep(1)
+ if is_out_date():
+ end_flag = True
+ break
+ try:
+ if exist_element(By.ID, 'attachment'):
+ download_attach()
+ check_file(item)
+ else:
+ handle_no_attach()
+ check_file(item)
+ except Exception as e:
+ record_fail(item)
+ switch_to_frame()
+ time.sleep(3)
+```
+#### 处理带有附件的邮件
+附件可能会有多个附件，我们只需要下载PDF文件即可
+
+
+
+```python
+def download_attach():
+ attachment = util.getDelayElement(By.ID, 'attachment')
+ attach_items = attachment.find_elements(By.CSS_SELECTOR, 'div.att_bt.attachitem')
+ for attach in attach_items:
+ util.getDelayElement(By.CSS_SELECTOR, 'div.name_big')
+ if '.pdf' in attach.find_element(By.CSS_SELECTOR, 'div.name_big').find_element(By.TAG_NAME, 'span').text:
+ attach.find_element_by_partial_link_text('下载').click()
+ break
+ time.sleep(3)
+ # driver.back()
+ driver.refresh()
+ switch_to_frame()
+ time.sleep(4)
+```
+#### 处理没有附件的邮件
+这个才是本次的重点，对于没有附件只有下载链接的邮件，如何让selenium知道该点哪里。不同的邮件他们的展示也不同
+
+
+
+
+解决方法就是让AI来告诉selenium该点哪里，通过F12可以发现，邮件的内容都是在一个固定的Div里面
+
+
+那我们就可以获取这个Div里面的HTML片段，然后告诉AI，让它根据HTML片段解析出带有发票下载链接的标签文本，然后返回，selenium根据这个文本点击，以下是对于prompt
+``` python
+prompt = '''
+你是一名HTML解析助手，你需要解析用户上传的HTML片段。
+1.解析出片段中带有发票下载链接的超链接标签文本。
+2.如果有多个下载链接，则找出下载为PDF格式的超链接标签文本即可。
+例如:
+输入:
+
+ 下载PDF文件：
+ 
+ HelloWorld
+
+输出:
+{"text":"HelloWorld"}
+注意只需要返回对应的标签文本即可，不需要其他内容。结果输出为JSON:{'text':'xxx'}"}
+'''
+```
+点击过后，一般会有两种结果，一种是点击后能够直接下载发票,另一种是跳转到其他网站后，再点击下载才能下载
+
+
+针对这种我们就可以全文搜索带有下载字样的标签进行点击下载。经过上面这一套下来，基本90%的都能成功下载下来
+#### 解析整理发票
+下载下来的发票命名各异
+
+
+我希望能够通过文件名就能知道该发票的类型，金额和开票日期，这里用上了OCR+AI，用OCR来解析发票文件，然后将解析结果送给AI让其根据结果分析该发票属于哪种类别。最后再重命名发票
+```python
+def parse_invoice():
+ invoice_list = get_invoice_list()
+ location = config.get_location()
+ for invoice in invoice_list:
+ file_path = os.path.join(location, invoice)
+ invoice_info = OcrUtil.ocr_invoice(file_path)
+ new_file_name = get_new_file_name(invoice_info)
+ util.rename(invoice, new_file_name)
+ print(f'{invoice} : {new_file_name}')
+
+
+def get_new_file_name(invoice_info):
+ date = util.parse_date(invoice_info['Date'], '%Y年%m月%d日', '%Y%m%d')
+ summary = get_summary(invoice_info)
+ return summary + '_' + invoice_info['Number'] + '_' + invoice_info['Total'].split('.')[0] + '_' + date
+
+
+def get_summary(item):
+ if 'VatElectronicItems' in item:
+ info = json.loads(json.dumps(item['VatElectronicItems']))
+ else:
+ info = json.loads(json.dumps(item['VatInvoiceItemInfos']))
+ return AI.ai_summary(info[0]['Name'])
+```
+最后就是这个样子
+
+
+
+#### 使用方法
+> 在config.json文件设置文件下载地址和日期，日期的作用是在下载附件时只下载日期之后的附件，在OcrUtil.py文件里设置腾讯云的secret_id和secret_key，在AI.py文件里设置GPT的api_key后，然后运行main.py，等待浏览器拉起后，手动登录后即可
+
+
+
+
+目前只实现了下载和解析重命名，邮箱目前只支持QQ邮箱，AI目前只支持GPT，后续会支持多个邮箱和AI
+同时还在考虑可以加入哪些功能，有建议和优化欢迎大家在GitHub给我提，如果有帮助的话帮忙**Star**一下
+> **地址：[GitHub-autoEmail](https://github.com/WRCoding/autoEmail)**
+