合并2个程序

client.py

@@ -0,0 +1,93 @@
+import socket
+import struct
+import json
+import os
+import PySimpleGUI as sg
+
+
+def recvdata(conn, filepath):
+    header_size = struct.unpack('i', conn.recv(4))[0]
+    header_bytes = conn.recv(header_size)
+    header_json = header_bytes.decode('utf-8')
+    header_dic = json.loads(header_json)
+    content_len = header_dic['contentlen']
+    content_name = header_dic['contentname']
+    recv_len = 0
+    pdf = os.path.join(filepath, content_name)
+    with open(pdf, 'wb') as file:
+        while recv_len < content_len:
+            correntrecv = conn.recv(1024 * 1000)
+            file.write(correntrecv)
+            recv_len += len(correntrecv)
+
+
+def senddata(conn, path, select_type):
+    name = os.path.basename(os.path.realpath(path))
+    try:
+        with open(path, 'rb') as file:
+            content = file.read()
+            headerdic = dict(
+                contentlen=len(content),
+                contentname=name,
+                select_type=select_type
+            )
+            headerjson = json.dumps(headerdic)
+            headerbytes = headerjson.encode('utf-8')
+            headersize = len(headerbytes)
+            conn.send(struct.pack('i', headersize))
+            conn.send(headerbytes)
+            conn.sendall(content)
+    except ConnectionResetError:
+        print('不存在这个文件！')
+
+
+def connect():
+    client = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+    dest_ip = '192.168.11.121'
+    dest_port = int(8190)
+    client.connect((dest_ip, dest_port))
+    return client
+
+
+def transclient(sendfile, resfile, select_type):
+    conn = connect()
+    senddata(conn, sendfile, select_type)
+    recvdata(conn, resfile)
+
+
+def make_gui():
+    while True:
+        layout = [
+            [sg.Text('选择排样程序')],
+            [sg.Radio('T7', 'layout', key='t7', default=True), sg.Radio('nova', 'layout', key='nova'),
+             sg.Radio('Xplus', 'layout', key='xplus')],
+            [
+                sg.Text('导入排样excel')],
+            [
+                sg.Input(key='_FILE1_'), sg.FileBrowse()],
+            [
+                sg.Text('生成排样位置')],
+            [
+                sg.Input(key='_FILE2_'), sg.FolderBrowse()],
+            [
+                sg.OK(), sg.Cancel()]]
+        window = sg.Window('解码排样测试程序', layout)
+        event, values = window.Read()
+        if event == 'OK':
+            if values['nova']:
+                select_type = 'nova'
+            elif values['xplus']:
+                select_type = 'xplus'
+            else:
+                select_type = 't7'
+            transclient(values['_FILE1_'], os.path.join(values['_FILE2_'], select_type))
+            sg.Popup('排样成功！')
+        else:
+            window.Close()
+            break
+
+
+if __name__ == '__main__':
+    # respath = 'result'
+    # transclient(os.path.join('example', '0520_T7_1.xlsx'), respath)
+    make_gui()

server.py

@@ -4,6 +4,11 @@ import json
 import os
 from datetime import datetime
 
+from tools.common import basedir
+
+from tools.t7 import AutoLayout as T7
+from tools.novaplus import AutoLayout as NovaPlus
+
 
 def recvdata(conn, path):
     """
@@ -18,15 +23,16 @@ def recvdata(conn, path):
     header_dic = json.loads(header_json)
     content_len = header_dic['contentlen']
     content_name = header_dic['contentname']
+    select_type = header_dic['select_type']
     recv_len = 0
-    fielpath = os.path.join(path, '%s_%s' %(datetime.now().strftime("%m%d%H%M"), content_name))
+    fielpath = os.path.join(path, '%s_%s' % (datetime.now().strftime("%m%d%H%M"), content_name))
     file = open(fielpath, 'wb')
     while recv_len < content_len:
         correntrecv = conn.recv(1024 * 1000)
         file.write(correntrecv)
         recv_len += len(correntrecv)
     file.close()
-    return fielpath
+    return fielpath, select_type
 
 
 def senddata(conn, path, message=None):
@@ -57,4 +63,27 @@ def senddata(conn, path, message=None):
         conn.sendall(path.encode('utf-8'))
 
 
+def server():
+    myserver = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+    adrss = ("", 8191)
+    myserver.bind(adrss)
+    myserver.listen(5)
+    while True:
+        try:
+            myclient, adddr = myserver.accept()
+            recv_content, select_type = recvdata(myclient, os.path.join(basedir, 'example'))
+            if select_type == 'nova':
+                layout = NovaPlus(recv_content, data_limit=800)
+            elif select_type == 'xplus':
+                layout = NovaPlus(recv_content, data_limit=400)
+            else:
+                layout = T7(recv_content, data_limit=1520)
+            outputpath = layout.run()
+            senddata(myclient, outputpath)
+        except Exception as e:
+            print(e)
+            continue
 
+
+if __name__ == '__main__':
+    server()

tools/common.py

@@ -0,0 +1,20 @@
+import os
+import logging
+
+basedir = os.path.dirname(os.path.realpath(__file__))
+
+
+def log(name):
+    """
+    日志
+    :param name:
+    :return: 返回logger对象
+    """
+    logger = logging.getLogger('main')
+    logpath = os.path.join(basedir, 'log', name + '.log.txt')
+    logfile = logging.FileHandler(logpath, mode='w')
+    logfomat = logging.Formatter('%(message)s\t%(asctime)s')
+    logfile.setFormatter(logfomat)
+    logfile.setLevel(logging.DEBUG)
+    logger.addHandler(logfile)
+    return logger

tools/novaplus.py

@@ -0,0 +1,243 @@
+import os
+import socket
+
+import pandas as pd
+from collections import defaultdict
+from datetime import datetime
+import time
+import logging
+import os
+from .common import basedir, log
+
+
+class AutoLayout:
+    """
+    自动化派样
+    """
+
+    def __init__(self, path, output=basedir, data_limit=1600):
+        self.path = path
+        self.output = output
+        self.data_limit = data_limit
+
+        self.index_assignments = defaultdict(list)
+        # 芯片数量量大小
+        self.chip_size = dict()
+        # 芯片是否极致
+        self.chip_type = dict()
+        # 芯片barcode
+        self.chip_barcode_recode = defaultdict(set)
+        # 芯片原始数据读取
+        self.ori_data = self.read_excel()
+        # 当前锚芯片
+        self.loc_chip_num = 1
+        # 芯片 文库计数
+        self.chip_lib_type = defaultdict(dict)
+
+        self.logger = log(os.path.basename(f'{path}.txt'))
+        self.return_log = list()
+
+    def read_excel(self):
+        """
+        原始数据处理
+        :return:
+        """
+        merge = pd.read_excel(self.path, None)
+        ori_data = dict()
+        for name, sheet in merge.items():
+            sheet.fillna('.', inplace=True)
+            ori_data[name] = sheet.to_dict('records')
+        return ori_data
+
+    def add_new_data(self, chipname, library_data, newer=True):
+        """
+        增加新数据到已知芯片上
+        :param chipname:
+        :param library_data:
+        :param newer:
+        :return:
+        """
+        self.index_assignments[chipname].extend(library_data['data'])
+        self.chip_barcode_recode[chipname].update({item['barcode'] for item in library_data['data']})
+        if newer:
+            self.chip_size[chipname] = library_data['size']
+
+        else:
+            self.chip_size[chipname] += library_data['size']
+        if library_data['lib_type'] in self.chip_lib_type[chipname]:
+            self.chip_lib_type[chipname][library_data['lib_type']] += library_data['size']
+        else:
+            self.chip_lib_type[chipname][library_data['lib_type']] = library_data['size']
+
+    def dec_barcode_radio(self, chipname):
+        data = self.index_assignments[chipname]
+        df = pd.DataFrame(data)
+        barcode_df = pd.DataFrame(df['barcode'].str.split('', expand=True).iloc[:, 1:-1].values,
+                                  columns=['T' + str(x) for x in range(16)]).join(df['data_needed'])
+        total = barcode_df['data_needed'].sum()
+        is_not_balance_list = []
+        for i in range(16):
+            column = 'T' + str(i)
+            col_df = barcode_df.groupby(column).agg({'data_needed': 'sum'})
+            # 去掉N计数
+            if 'N' in col_df.index:
+                base_N_size = col_df.loc['N', 'data_needed']
+                col_df = col_df.drop('N')
+            else:
+                base_N_size = 0
+            col_df['ratio'] = (col_df['data_needed']) / (total - base_N_size)
+
+            need_base_list = list()
+            ratio = col_df['ratio'].to_dict()
+
+            for decbase in ['A', 'T', 'C']:
+                if decbase not in ratio:
+                    ratio[decbase] = 0
+                    need_base_list.append(decbase)
+                    continue
+                if ratio[decbase] < 0.1:
+                    need_base_list.append(decbase)
+                    # 小于标准的base 是不是空的，空的说明都满足
+            if len(need_base_list) > 2:
+                is_not_balance_list.append(
+                    '[%s] 第%s位置, %s 有碱基不平衡，算出结果为 %s' % (chipname, i, need_base_list, ratio)
+                )
+            # 对于G不能超过10%
+            if 'G' not in ratio:
+                ratio['G'] = 0
+            if ratio['G'] > 0.7:
+                is_not_balance_list.append(
+                    '[%s] 第%s位置, G 含量超过70%%，算出结果为 %s' % (chipname, i, ratio['G'])
+                )
+        if is_not_balance_list:
+            self.return_log.extend(is_not_balance_list)
+            print('有碱基不平衡性！\n', '\n'.join(is_not_balance_list))
+
+    @staticmethod
+    def read_rule():
+        df = pd.read_excel(os.path.join(basedir, 'rule', 'lib_type_limit.xlsx'))
+        return df.to_dict('index')
+
+    @staticmethod
+    def level(row):
+        if row['customer'] == '百奥益康' and '3\'' in row['lib_type']:
+            return 1
+        elif row['customer'] == '百奥益康' and '5\'' in row['lib_type']:
+            return 2
+        else:
+            return 100
+
+    def judge_data(self, chipname, library_data):
+        size = library_data['size']
+        library = library_data['library']
+
+        # 芯片大小不能超过设定限制
+        sizelimit = True
+        if self.chip_size[chipname] + size > self.data_limit:
+            sizelimit = False
+            self.logger.error(f'{library} {chipname} 文库相加大于设定限制')
+
+        # barcode有重复
+        notrepeatbarcode = True
+        if self.chip_barcode_recode[chipname].intersection({item['barcode'] for item in library_data['data']}):
+            notrepeatbarcode = False
+            self.logger.error(f'{library} {chipname} 文库有barcode重复')
+
+        # 特定文库不能超过限制
+        sp_lib1 = True
+        for _, myrule in self.read_rule().items():
+            lib_type = myrule['lib_type']
+            limit = myrule['limit']
+            if lib_type in self.chip_lib_type[chipname]:
+                if self.chip_lib_type[chipname][lib_type] + size > self.data_limit * limit:
+                    sp_lib1 = False
+                    self.logger.error(f'{library} {chipname} 文库有大于设定限制')
+                    break
+
+        if sizelimit and notrepeatbarcode and sp_lib1:
+            return True
+        return False
+
+    def assign_samples(self):
+        ori_library_data = list()
+        ori_library_df = pd.DataFrame(self.ori_data['未测'])
+        ori_library_df['level'] = ori_library_df.apply(self.level, axis=1)
+        for library, library_df in ori_library_df.groupby('#library'):
+            ori_library_data.append(dict(
+                library=library,
+                size=library_df['data_needed'].sum(),
+                time=library_df['time'].values[0],
+                customer=library_df['customer'].values[0],
+                level=library_df['level'].values[0],
+                status=library_df['status'].values[0],
+                lib_type=library_df['lib_type'].values[0],
+                data=library_df.to_dict('records')
+            ))
+        ori_sort_data = sorted(ori_library_data, key=lambda x: (x['level'], x['customer'], -x['size'], x['time']))
+
+        while ori_sort_data:
+            library_data = ori_sort_data[0]
+            chipname = f'lane{self.loc_chip_num}'
+
+            # 空白芯片直接添加
+            if chipname not in self.index_assignments:
+                self.add_new_data(chipname, library_data)
+                ori_sort_data.remove(library_data)
+                continue
+
+            # 判断条件
+            if self.judge_data(chipname, library_data):
+                self.add_new_data(chipname, library_data, newer=False)
+                ori_sort_data.remove(library_data)
+            else:
+                for j in range(len(ori_sort_data)):
+                    newlibrary_data = ori_sort_data[j]
+                    if self.judge_data(chipname, newlibrary_data):
+                        ori_sort_data.remove(newlibrary_data)
+                        self.add_new_data(chipname, newlibrary_data, newer=False)
+                        break
+                    j += 1
+                else:
+                    # 代表接下来的数据放到这个chip当中都不行，只有换chip了
+                    self.loc_chip_num += 1
+            # 加完之后下面的数据可能加上去就慢了就换chip
+            if self.chip_size[chipname] > self.data_limit * 0.99:
+                self.loc_chip_num += 1
+
+    def run(self):
+        try:
+            self.assign_samples()
+        except Exception as e:
+            self.return_log.append(f'排样出错， 请联系！{e}')
+            self.index_assignments = {}
+        outputname = 'assignments_%s_%s' % (datetime.now().strftime("%m%d%H%M"), os.path.basename(self.path))
+        outputpath = os.path.join(self.output, 'result', outputname)
+        writer = pd.ExcelWriter(outputpath)
+
+        no_assign_data = list()
+        no_assign_chip = list()
+        for chip_idx, chip_assignments in self.index_assignments.items():
+            self.dec_barcode_radio(chip_idx)
+            df = pd.DataFrame(chip_assignments)
+            if df['data_needed'].sum() < self.data_limit * 0.8:
+                no_assign_chip.append(chip_idx)
+                no_assign_data.extend(chip_assignments)
+                continue
+            df.to_excel(writer, sheet_name=chip_idx, index=False)
+        pd.DataFrame(no_assign_data).to_excel(writer, sheet_name='未测', index=False)
+        if self.return_log:
+            log_res = [splog for splog in self.return_log if
+                       not any(f'[{chip}]' in str(splog) for chip in no_assign_chip)]
+            pd.DataFrame(log_res).to_excel(writer, sheet_name='log', index=False)
+        writer.close()
+        return outputpath
+
+if __name__ == '__main__':
+    start_time = time.time()
+    excel_file = 'example/0704_nova_1.xlsx'
+    output_file = ''
+    layout = AutoLayout(excel_file, output_file, data_limit=800)
+    layout.run()
+    end_time = time.time()
+    execution_time = end_time - start_time
+    print(f"代码执行时间为：{execution_time} 秒")

tools/t7.py

@@ -1,32 +1,10 @@
-import os
-import socket
-
 import pandas as pd
 from collections import defaultdict
 from datetime import datetime
 import time
-import logging
 import os
 
-from tools.client import recvdata, senddata
+from .common import basedir, log
-
-basedir = os.path.dirname(os.path.realpath(__file__))
-
-
-def log(name):
-    """
-    日志
-    :param name:
-    :return: 返回logger对象
-    """
-    logger = logging.getLogger('main')
-    logpath = os.path.join(basedir, 'log', name + '.log.txt')
-    logfile = logging.FileHandler(logpath, mode='w')
-    logfomat = logging.Formatter('%(message)s\t%(asctime)s')
-    logfile.setFormatter(logfomat)
-    logfile.setLevel(logging.DEBUG)
-    logger.addHandler(logfile)
-    return logger
 
 
 class AutoLayout:
@@ -160,7 +138,7 @@ class AutoLayout:
                     '%s 第%s位置, %s 有碱基不平衡，算出结果为 %s' % (chipname, i, need_base_list, ratio)
                 )
 
-        if len(is_not_balance_list) >2 :
+        if len(is_not_balance_list) > 2:
             self.return_log.append('有碱基不平衡性！')
             self.return_log.extend(is_not_balance_list)
             print('有碱基不平衡性！\n', '\n'.join(is_not_balance_list))
@@ -285,11 +263,14 @@ class AutoLayout:
         pass
 
     def run(self):
+        try:
             self.assign_samples()
+        except Exception as e:
+            self.return_log.append(f'排样出错， 请联系！{e}')
+            self.index_assignments = {}
         outputname = 'assignments_%s_%s' % (datetime.now().strftime("%m%d%H%M"), os.path.basename(self.path))
         outputpath = os.path.join(self.output, 'result', outputname)
         writer = pd.ExcelWriter(outputpath)
-
         no_assign_data = list()
         for chip_idx, chip_assignments in self.index_assignments.items():
             self.dec_barcode_radio(chip_idx)
@@ -309,32 +290,14 @@ class AutoLayout:
         return outputpath
 
 
-def server():
-    myserver = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-    adrss = ("", 8190)
-    myserver.bind(adrss)
-    myserver.listen(5)
-    while True:
-        try:
-            myclient, adddr = myserver.accept()
-            recv_content = recvdata(myclient, os.path.join(basedir, 'example'))
-            print('接收到了文件')
-            layout = AutoLayout(recv_content)
-            outputpath = layout.run()
-            senddata(myclient, outputpath)
-        except Exception as e:
-            print(e)
-            continue
-
-
 if __name__ == '__main__':
-    # start_time = time.time()
+    start_time = time.time()
-    # excel_file = 'example/06211429_包lane广西.xlsx'
+    excel_file = 'example/07031754_20230703.xlsx'
-    # output_file = ''
+    output_file = ''
-    # layout = AutoLayout(excel_file, output_file)
+    layout = AutoLayout(excel_file, output_file)
-    # layout.run()
+    layout.run()
-    # end_time = time.time()
+    end_time = time.time()
-    # execution_time = end_time - start_time
+    execution_time = end_time - start_time
-    # print(f"代码执行时间为：{execution_time} 秒")
+    print(f"代码执行时间为：{execution_time} 秒")
 
-    server()
+    # server()