feat(excel):add

app/models/project.py

@@ -19,6 +19,7 @@ class BaseMonitor(pydantic.BaseModel):
     1.عالیه
     2. عالیه وکارگاه
     3.یکپارچه
+    4.کارگاهی
     """)
     date_delivery_land:Optional[datetime.datetime] =Field(description=" تاریخ تحویل زمین")
     date_building_permit:Optional[datetime.datetime] = Field(description=" تاریخ صدور پروانه ساختمانی")
@@ -27,12 +28,12 @@ class BaseMonitor(pydantic.BaseModel):
 
 class AddTFPercent(pydantic.BaseModel):
     amount:int  = Field(description="مبلغ")
-    percent:int = Field(description="درصد")
-    date:datetime.datetime = Field(description="تاریخ ابلاغ")
+    percent:Optional[int] = Field(description="درصد")
+    date:Optional[datetime.datetime] = Field(description="تاریخ ابلاغ")
 class Adding(pydantic.BaseModel):
     row:int  = Field(description="ردیف")
-    amount:int = Field(description="مبلغ")
-    date:datetime.datetime = Field(description="تاریخ الحاقیه")
+    amount:Optional[int] = Field(description="مبلغ")
+    date:Optional[datetime.datetime] = Field(description="تاریخ الحاقیه")
 class DetailMonitor(pydantic.BaseModel):
     type:Optional[int] = Field(description="""
     1.فهرست بهایی

app/repositories/excel.py

@@ -0,0 +1,143 @@
+import datetime
+import uuid
+
+import pandas as pd
+import os
+
+from app.config import TaskEnv
+from app.models.project import ProjectModel
+from core.service.mongo_db import use_collection
+import jdatetime
+from app.repositories.project import ProjectRepository
+
+class ExcelRepository():
+    async def addDesignSheet(self):
+        base_dir = os.path.dirname(os.path.abspath(__file__))  # این یعنی مسیر فایل جاری (مثلاً main.py)
+        project_root = os.path.abspath(os.path.join(base_dir, "../.."))  # رفتن به ریشه پروژه
+        excel_path = os.path.join(project_root, "projects1.xlsx")
+        print("Excel file path:", excel_path)
+        df = pd.read_excel(excel_path, engine="openpyxl", sheet_name="طراحی", dtype={'code': str,'date_send':str})
+        projects = await use_collection(TaskEnv.CLN_PROJECT).find({}).to_list(None)
+
+        for index, row in df.iterrows():
+            my_row = row.to_dict()
+            print(f"سطر {index}: {row.to_dict()}")
+            print("code",my_row['code'])
+            for p in projects:
+                if str(my_row["code"]) in str(p['design']["code"]) and p['counter'] == int(str(my_row["code"])):
+                    print('projects',p)
+                    if my_row['letter'] and pd.notna(row['letter']):
+                        p['design']["letter"] = my_row["letter"]
+                    if my_row['date_send'] and pd.notna(row['date_send']):
+                        year = int(my_row['date_send'][:4])
+                        month = int(my_row['date_send'][4:6])
+                        day = int(my_row['date_send'][6:8])
+                        jalali_date = jdatetime.date(year, month, day)
+                        gregorian_date = jalali_date.togregorian()
+                        created_at = datetime.datetime.combine(gregorian_date, datetime.time())
+                        p['design']['date_send'] = created_at
+                    if my_row['land_area'] and pd.notna(row['land_area']):
+                        p['design']["land_area"] = my_row["land_area"]
+                    if my_row['building_infrastructure'] and pd.notna(row['building_infrastructure']):
+                        p['design']["building_infrastructure"] = my_row["building_infrastructure"]
+                    if my_row['site_area'] and pd.notna(row['site_area']):
+                        p['design']["site_area"] = my_row["site_area"]
+                    if my_row['designer'] and pd.notna(row['designer']):
+                        p['design']["designer"] = [my_row["designer"]]
+                    p['design']["sts"] = 2
+
+                    await use_collection(TaskEnv.CLN_PROJECT).update_one({'counter':int(my_row["code"])},{"$set":{'design':p['design']}})
+        return
+
+    async def addMonitorSheet(self):
+        base_dir = os.path.dirname(os.path.abspath(__file__))
+        project_root = os.path.abspath(os.path.join(base_dir, "../.."))
+        excel_path = os.path.join(project_root, "projects1.xlsx")
+        print("Excel file path:", excel_path)
+        df = pd.read_excel(excel_path, engine="openpyxl", sheet_name="نظارت", dtype={'code': str,'date_create_project':str,'date_estimate_complete':str})
+        projects = await use_collection(TaskEnv.CLN_PROJECT).find({}).to_list(None)
+        for index, row in df.iterrows():
+            my_row = row.to_dict()
+            print(f"سطر {index}: {row.to_dict()}")
+            print("code",my_row['code'])
+            for p in projects:
+                if str(my_row["code"]) in str(p['design']["code"]) and p['counter'] == int(str(my_row["code"])):
+                    print('projects',p)
+                    p['monitor'] = {}
+                    p['monitor']['base_information'] = {"budget" : []}
+                    p['monitor']['detail'] = {"add_25_percent" : [],"adding" : []}
+                    p['monitor']['agent'] = {}
+                    p['monitor']['status_branch'] = {'electricity': False, 'water': False, 'wastewater': False, 'gas': False, 'phone': False}
+                    if my_row['building_infrastructure'] and pd.notna(row['building_infrastructure']):
+                        p['design']["building_infrastructure"] = my_row["building_infrastructure"]
+                    print('a')
+                    if my_row['land_area'] and pd.notna(row['land_area']):
+                        p['design']["land_area"] = my_row["land_area"]
+                    print('a1',my_row['monitor_type'])
+                    if my_row['monitor_type'] == 'عالیه'  :
+                        print('b1')
+                        p['monitor']['base_information']['type'] = 39
+                    elif my_row['monitor_type'] == 'عالیه و کارگاهی'  :
+                        print('b2')
+                        p['monitor']['base_information']['type'] = 40
+                    else:
+                        p['monitor']['base_information']['type'] = 42
+                    print('a2')
+                    if my_row['date_create_project'] and pd.notna(row['date_create_project']):
+                        year = int(my_row['date_create_project'][:4])
+                        month = int(my_row['date_create_project'][4:6])
+                        day = int(my_row['date_create_project'][6:8])
+                        jalali_date = jdatetime.date(year, month, day)
+                        gregorian_date = jalali_date.togregorian()
+                        created_at = datetime.datetime.combine(gregorian_date, datetime.time())
+                        p['monitor']['detail']['date_create_project'] = created_at
+                    print('a3')
+                    if my_row['first_time'] and pd.notna(row['first_time']):
+                        p['monitor']['detail']["first_time"] = int(my_row["first_time"])
+                    print('a4')
+                    if my_row['extend_time'] and pd.notna(row['extend_time']):
+                        p['monitor']['detail']["extend_time"] = my_row["extend_time"]
+                    print('a5')
+                    # if my_row['date_estimate_complete'] and pd.notna(row['date_estimate_complete']):
+                    #     print('my_row[date_estimate_complete]',my_row['date_estimate_complete'])
+                    #     year_date = int(my_row['date_estimate_complete'][:4])
+                    #     month_date = int(my_row['date_estimate_complete'][4:6])
+                    #     day_date = int(my_row['date_estimate_complete'][6:8])
+                    #     jalali_date_date = jdatetime.date(year_date, month_date, day_date)
+                    #     gregorian_date_date = jalali_date_date.togregorian()
+                    #     estimate = datetime.datetime.combine(gregorian_date_date, datetime.time())
+                    #     p['monitor']['detail']['date_estimate_complete'] = estimate
+                    # print('a6')
+                    if my_row['first_amount'] and pd.notna(row['first_amount']):
+                        p['monitor']['detail']["first_amount"] = my_row["first_amount"]
+                        # price = {
+                        #     '_id': uuid.uuid4(),
+                        #     'project_id': p['_id'],
+                        #     'first_amount': my_row["first_amount"]
+                        # }
+                        # await use_collection(TaskEnv.CLN_PROJECT_PRICE_REPORT).insert_one(price)
+                    print('a7')
+                    if my_row['add_25_percent'] and pd.notna(row['add_25_percent']):
+                        p['monitor']['detail']['add_25_percent'].append({"amount": my_row["add_25_percent"]})
+                    print('a8')
+                    if my_row['adding_amount'] and pd.notna(row['adding_amount']):
+                        p['monitor']['detail']['adding'].append({"amount":my_row["adding_amount"]})
+                    print('a9')
+                    if my_row['workshop_consultant'] and pd.notna(row['workshop_consultant']):
+                        p['monitor']['agent']['workshop_consultant'] = my_row["workshop_consultant"]
+                    print('a0')
+                    if my_row['constractor'] and pd.notna(row['constractor']):
+                        p['monitor']['agent']['constractor'] = my_row["constractor"]
+                    print('a00')
+                    p['has_monitor'] = True
+                    p['design']['sts'] = 2
+                    p['monitor']['sts'] = 2
+                    p['monitor']['has_design'] = True
+                    create_code = ProjectRepository().create_code(ProjectModel(**p))
+                    p['monitor']['code'] = 'S'+ create_code
+                    print('code',p['monitor']['code'])
+                    if 'date_create_project' in p['monitor']['detail'] and "first_time" in p['monitor']['detail']:
+                        p['date_delay'] = ProjectRepository().creat_date_delay(ProjectModel(**p))
+                        print('date_delay',p['date_delay'])
+                    await use_collection(TaskEnv.CLN_PROJECT).update_one({'counter':int(my_row["code"])},{"$set":p})
+        return

app/urls/__init__.py

@@ -17,4 +17,5 @@ from .financial_pre_payment import *
 from .financial_status import *
 from .financial_adjust import *
 from .delivery import *
-from .report import *
+from .report import *
+from .excel import *

app/urls/excel.py

@@ -0,0 +1,21 @@
+
+from app.repositories.excel import ExcelRepository
+from core.app import app
+from core.utils.router import generate_router, shrink
+
+router_base_url = 'excel'
+_tag_base = [router_base_url]
+router = generate_router(router_base_url, auth_dependencies=False, version='v2')
+repo = ExcelRepository()
+
+@router.get('/design', tags=_tag_base)
+@shrink(repo.addDesignSheet)
+def design():
+    pass
+
+@router.get('/monitor', tags=_tag_base)
+@shrink(repo.addMonitorSheet)
+def monitor():
+    pass
+
+app.include_router(router)