from django.shortcuts import render, redirect, get_object_or_404 from django.core.paginator import Paginator from django.contrib import messages from core.models import Report, AllProductDimensionForInsProcess from core.forms import ReportForm from core.utils import ConfigurableCRUDView, queryFromMaster from .filters import ReportFilter from .forms import ExportOptionsForm from pprint import pprint from legacy.models import Data, DataMs, DataRl, DataWb, LotSummary, LotSummaryRl, LotSummaryWb, PressCal, RotateData, TbFgPressinfoLotlist,\ Manualsize from .gen_report import gen_xlsx from django.core.files.base import File from pathlib import Path from django.views.decorators.csrf import csrf_exempt from django.http import JsonResponse, HttpResponseBadRequest import json from django.contrib.auth.decorators import login_required from django.contrib.auth.models import User from legacy.models import Data from django.conf import settings from itertools import chain def index(request): reports = Report.objects.all() report_filter = ReportFilter(request.GET, queryset=reports) # Paginate the filtered queryset paginator = Paginator(report_filter.qs, 10) # Show 10 reports per page page_number = request.GET.get('page') page_obj = paginator.get_page(page_number) context = { 'filter': report_filter, 'page_obj': page_obj, } return render(request, 'report/index.html', context) def report_create_view(request): if request.method == "POST": form = ReportForm(request.POST) if form.is_valid(): form.save() messages.success(request, "Report created successfully!") return redirect("report:report_index") # Adjust with your report list view name else: form = ReportForm() return render(request, "report/create.html", {"form": form}) class ReportCRUDView(ConfigurableCRUDView): model = Report list_template_name = 'legacy/datacrud_list.html' detail_template_name = 'legacy/datacrud_detail.html' form_template_name = 'report/report_form.html' confirm_delete_template_name = 'legacy/datacrud_confirm_delete.html' filterset_class = ReportFilter page_title = "Reports" # URL name mappings list_url_name = 'report:report-list' create_url_name = 'report:report-create' update_url_name = 'report:report-update' delete_url_name = 'report:report-delete' config_fields = ["name", "file", "created_by", "created_at"] config_field_orders = ["id", "name", "created_by"] # config_readonly_fields = ["lot_no"] # config_edit_fields = ["lot_no", "code"] ordering = ["-created_at", "-id",] def convert_sheet_data(sheet_data): """ Convert sheet_data to the required form with prefixed keys. :param sheet_data: Dictionary with sheet names as keys and their data as values. :return: Dictionary in the required key-value format. """ converted_data = {} for sheet_name, data in sheet_data.items(): for key, value in data.items(): # Prefix each key with the sheet name converted_key = f"{sheet_name}.{key}" converted_data[converted_key] = value return converted_data def hide_con(placeholders, mark_value, hide_rows): """ Updates the 'placeholders' dictionary with a mark value and hide rows range. :param placeholders: The dictionary to update. :param mark_value: The key to check or update in the placeholders. :param hide_rows: The row range to append in the format '[start:end]'. """ if mark_value in placeholders: placeholders[mark_value] = f"{placeholders[mark_value]}[{hide_rows}]" else: placeholders[mark_value] = f"0[{hide_rows}]" def clear_values(n, m): placeholders = {} for i in range(1, n + 1): for j in range(1, m + 1): placeholders[f'v{i}_{j}'] = " " return placeholders def generate_hardness_out_values(lot_no, code): """ Generate a dictionary of placeholder values for a given lot_no. :param lot_no: The lot number to query data for. :return: A dictionary with placeholders (e.g., v1_1, v1_2, ...) as keys and their respective values. """ # Query the Data model for records matching the given lot_no # records = Data.objects.filter(lot_no=lot_no).order_by('row_no') data_h1 = list(Data.objects.filter(lot_no=lot_no).order_by('row_no')) data_h2 = list(DataRl.objects.filter(lot_no=lot_no).order_by('row_no')) records = list(chain(data_h1, data_h2)) print(f"records {lot_no} = {records.values()}") # Initialize an empty dictionary to store placeholder values placeholders = clear_values(2,5) # Iterate over the records to populate placeholder values for record_idx, record in enumerate(records, start=1): placeholders[f'v{record_idx}_1'] = record.p1 # Checkpoint 1 value placeholders[f'v{record_idx}_2'] = record.p2 # Checkpoint 2 value placeholders[f'v{record_idx}_3'] = record.p3 # Checkpoint 3 value placeholders[f'v{record_idx}_4'] = record.avg # Average value placeholders[f'v{record_idx}_5'] = record.rgrade # Judgment value return placeholders def generate_hardness_out_in_values(lot_no, code): # Fetch records from the Data model # records = Data.objects.filter(lot_no=lot_no).order_by('row_no') data_h1 = list(Data.objects.filter(lot_no=lot_no).order_by('row_no')) data_h2 = list(DataRl.objects.filter(lot_no=lot_no).order_by('row_no')) records = list(chain(data_h1, data_h2)) out_data = [] in_data = [] # Separate OUT and IN data for record in records: if record.r_type.upper() in ["OUT", "TOP", "FA1", "UPP", "UPPE", "RIM"]: out_data.append(record) elif record.r_type.upper() in ["IN", "UNDER", "UND", "FA2", "LOW", "LOWE", "BASE", "SOKO", "IN*"]: in_data.append(record) # Prepare placeholders # placeholders = {} placeholders = clear_values(4,5) for idx, record in enumerate(out_data, start=1): placeholders[f'v{idx}_1'] = record.p1 placeholders[f'v{idx}_2'] = record.p2 placeholders[f'v{idx}_3'] = record.p3 placeholders[f'v{idx}_4'] = record.avg placeholders[f'v{idx}_5'] = record.rgrade for idx, record in enumerate(in_data, start=1): placeholders[f'v{len(out_data) + idx}_1'] = record.p1 placeholders[f'v{len(out_data) + idx}_2'] = record.p2 placeholders[f'v{len(out_data) + idx}_3'] = record.p3 placeholders[f'v{len(out_data) + idx}_4'] = record.avg placeholders[f'v{len(out_data) + idx}_5'] = record.rgrade # if "v3_1" in placeholders: # placeholders["v3_1"] = f"{placeholders['v3_1']}[25:28]" # else: # placeholders[f"v3_1"] = "0[25:28]" hide_con(placeholders, "v3_1", "25:28") return placeholders def generate_hardness_both_size_values(lot_no, ms,code): # Fetch records from the Data model # records = Data.objects.filter(lot_no=lot_no).order_by('row_no') data_h1 = list(Data.objects.filter(lot_no=lot_no).order_by('row_no', 'sub_order')) data_h2 = list(DataRl.objects.filter(lot_no=lot_no).order_by('row_no', 'sub_order')) records = list(chain(data_h1, data_h2)) out_data = [] in_data = [] placeholders = clear_values(20,5) # Separate OUT and IN data for idx, record in enumerate(records, start=0): if record.sub_order == 1: for i,v in enumerate(["p1", "p2", "p3", "avg", "rgrade"],start=1): placeholders[f"v{idx*2+1}_{i}"] = getattr(record,v) if record.sub_order == 2: for i,v in enumerate(["p1", "p2", "p3", "avg", "rgrade"],start=1): placeholders[f"v{idx*2+2}_{i}"] = getattr(record,v) # Prepare placeholders # placeholders = {} return placeholders # # Example usage: # placeholders_dict = clear_values(6, 3) # print(placeholders_dict) def generate_dimension_values(lot_no, code): """ Fetch dimension records from manualSize and DataMs models and generate placeholder values for Standard, Actual, and Judgement. Supports two row_no entries per lot. """ # Fetch standard values from manualSize (limit to 2 rows) manual_size_records = Manualsize.objects.filter(lotno=lot_no) dimens = AllProductDimensionForInsProcess.objects.filter(ProductCode=code) # Fetch actual and judgement values from DataMs ordered by row_no (limit to 2 rows) data_ms_records = DataMs.objects.filter(lot_no=lot_no).order_by('row_no') # Prepare placeholders # placeholders = {} placeholders = clear_values(7,4) # for i in range(1,7): # for j in range(1,4): # placeholders[f'v{i}_{j}'] = 0 pprint(placeholders) pprint(manual_size_records) for m in dimens: if m.Size_Name == "D": placeholders['v1_1'] = placeholders['v4_1'] = f'D{m.Std} +{m.TolUp} {m.TolUn}' if m.Size_Name == "T": placeholders['v2_1'] = placeholders['v5_1'] = f'T{m.Std} +{m.TolUp} {m.TolUn}' if m.Size_Name == "H": placeholders['v3_1'] = placeholders['v6_1'] = f'H{m.Std} +{m.TolUp} {m.TolUn}' # Ensure that we map each manualSize entry to a corresponding DataMs entry for r in data_ms_records: if r.row_no == 1: placeholders[f'v1_2'] = r.dsize placeholders[f'v1_3'] = r.dsizeok placeholders[f'v2_2'] = r.tsize placeholders[f'v2_3'] = r.tsizeok placeholders[f'v3_2'] = r.hsize placeholders[f'v3_3'] = r.hsizeok if r.row_no == 2: placeholders[f'v4_2'] = r.dsize placeholders[f'v4_3'] = r.dsizeok placeholders[f'v5_2'] = r.tsize placeholders[f'v5_3'] = r.tsizeok placeholders[f'v6_2'] = r.hsize placeholders[f'v6_3'] = r.hsizeok hide_con(placeholders, "v4_1", "24:28") return placeholders def is_ok(instance): fields_and_values = {} for field in instance._meta.get_fields(): field_name = field.name if field_name.endswith('ok'): v = getattr(instance, field_name) if v is not None and v != "OK": return False return True def generate_dimension_app_values(lot_no, code): """ Fetch dimension records from manualSize and DataMs models and generate placeholder values for Standard, Actual, and Judgement. Supports two row_no entries per lot. """ # Fetch standard values from manualSize (limit to 2 rows) manual_size_records = Manualsize.objects.filter(lotno=lot_no) dimens = AllProductDimensionForInsProcess.objects.filter(ProductCode=code) # Fetch actual and judgement values from DataMs ordered by row_no (limit to 2 rows) data_ms_records = DataMs.objects.filter(lot_no=lot_no).order_by('row_no') # Prepare placeholders # placeholders = {} placeholders = clear_values(8,3) # for i in range(1,7): # for j in range(1,4): # placeholders[f'v{i}_{j}'] = 0 pprint(placeholders) pprint(manual_size_records) # for m in manual_size_records: # if m.size_name == "D": # placeholders['v1_1'] = placeholders['v5_1'] = f'{m.std} +{m.tolup} {m.tolun}' # if m.size_name == "T": # placeholders['v2_1'] = placeholders['v6_1'] = f'{m.std} +{m.tolup} {m.tolun}' # if m.size_name == "H": # placeholders['v3_1'] = placeholders['v7_1'] = f'{m.std} +{m.tolup} {m.tolun}' for m in dimens: # Changed from manual_size_records to dimens if m.Size_Name == "D": placeholders['v1_1'] = placeholders['v5_1'] = f'D{m.Std} +{m.TolUp} {m.TolUn}' if m.Size_Name == "T": placeholders['v2_1'] = placeholders['v6_1'] = f'T{m.Std} +{m.TolUp} {m.TolUn}' if m.Size_Name == "H": placeholders['v3_1'] = placeholders['v7_1'] = f'H{m.Std} +{m.TolUp} {m.TolUn}' # Ensure that we map each manualSize entry to a corresponding DataMs entry for r in data_ms_records: if r.row_no == 1: placeholders[f'v1_2'] = r.dsize placeholders[f'v1_3'] = r.dsizeok placeholders[f'v2_2'] = r.tsize placeholders[f'v2_3'] = r.tsizeok placeholders[f'v3_2'] = r.hsize placeholders[f'v3_3'] = r.hsizeok # if is_ok(r): # placeholders[f'v4_1'] = 'OK' # placeholders[f'v4_2'] = 'OK' # else: # placeholders[f'v4_1'] = 'NG' # placeholders[f'v4_2'] = 'OK' if r.row_no == 2: placeholders[f'v5_2'] = r.dsize placeholders[f'v5_3'] = r.dsizeok placeholders[f'v6_2'] = r.tsize placeholders[f'v6_3'] = r.tsizeok placeholders[f'v7_2'] = r.hsize placeholders[f'v7_3'] = r.hsizeok # if is_ok(r): # placeholders[f'v8_1'] = 'OK' # placeholders[f'v8_2'] = 'OK' # else: # placeholders[f'v8_1'] = 'NG' # placeholders[f'v8_2'] = 'NG' hide_con(placeholders, "v5_1", "26:32") return placeholders def generate_dimension_bal_weight_values(lot_no, ms, code): """ Fetch dimension records from manualSize and DataMs models and generate placeholder values for Standard, Actual, and Judgement. Supports two row_no entries per lot. """ # Fetch standard values from manualSize (limit to 2 rows) manual_size_records = Manualsize.objects.filter(lotno=lot_no) # Fetch actual and judgement values from DataMs ordered by row_no (limit to 2 rows) data_ms_records = DataMs.objects.filter(lot_no=lot_no).order_by('row_no') data_wb = DataWb.objects.filter(lot_no=lot_no).order_by('row_no') data_h1 = list(Data.objects.filter(lot_no=lot_no).order_by('row_no')) data_h2 = list(DataRl.objects.filter(lot_no=lot_no).order_by('row_no')) data_ho = list(chain(data_h1, data_h2)) # Prepare placeholders # placeholders = {} placeholders = clear_values(10,3) # for i in range(1,7): # for j in range(1,4): # placeholders[f'v{i}_{j}'] = 0 pprint(placeholders) pprint(manual_size_records) if ms: w = ms.PRO6 placeholders['v4_1'] = placeholders['v9_1'] = w dimens = AllProductDimensionForInsProcess.objects.filter(ProductCode=code) for m in dimens: # Changed from manual_size_records to dimens if m.Size_Name == "D": placeholders['v1_1'] = placeholders['v6_1'] = f'D{m.Std} +{m.TolUp} {m.TolUn}' if m.Size_Name == "T": placeholders['v2_1'] = placeholders['v7_1'] = f'T{m.Std} +{m.TolUp} {m.TolUn}' if m.Size_Name == "H": placeholders['v3_1'] = placeholders['v8_1'] = f'H{m.Std} +{m.TolUp} {m.TolUn}' # Ensure that we map each manualSize entry to a corresponding DataMs entry for r in data_ms_records: if r.row_no == 1: placeholders[f'v1_2'] = r.dsize placeholders[f'v1_3'] = r.dsizeok placeholders[f'v2_2'] = r.tsize placeholders[f'v2_3'] = r.tsizeok placeholders[f'v3_2'] = r.hsize placeholders[f'v3_3'] = r.hsizeok # if is_ok(r): # placeholders[f'v4_1'] = 'OK' # placeholders[f'v4_2'] = 'OK' # else: # placeholders[f'v4_1'] = 'NG' # placeholders[f'v4_2'] = 'OK' if r.row_no == 2: placeholders[f'v6_2'] = r.dsize placeholders[f'v6_3'] = r.dsizeok placeholders[f'v7_2'] = r.tsize placeholders[f'v7_3'] = r.tsizeok placeholders[f'v8_2'] = r.hsize placeholders[f'v8_3'] = r.hsizeok # if is_ok(r): # placeholders[f'v8_1'] = 'OK' # placeholders[f'v8_2'] = 'OK' # else: # placeholders[f'v8_1'] = 'NG' # placeholders[f'v8_2'] = 'NG' for r in data_wb: if r.row_no == 1: placeholders["v4_2"] = r.result placeholders["v4_3"] = r.judgement placeholders["v5_2"] = r.weight placeholders["v5_3"] = r.judgement if r.row_no == 2: placeholders["v9_2"] = r.result placeholders["v9_3"] = r.judgement placeholders["v10_2"] = r.weight placeholders["v10_3"] = r.judgement # hide_con(placeholders, "v5_1", "26:32") return placeholders def generate_dim_bal_app_hard_values(lot_no, first_result, code): """ Fetch dimension records from manualSize and DataMs models and generate placeholder values for Standard, Actual, and Judgement. Supports two row_no entries per lot. """ # Fetch standard values from manualSize (limit to 2 rows) manual_size_records = Manualsize.objects.filter(lotno=lot_no) # Fetch actual and judgement values from DataMs ordered by row_no (limit to 2 rows) data_ms_records = DataMs.objects.filter(lot_no=lot_no).order_by('row_no') data_wb = DataWb.objects.filter(lot_no=lot_no).order_by('row_no') data_h1 = list(Data.objects.filter(lot_no=lot_no).order_by('row_no')) data_h2 = list(DataRl.objects.filter(lot_no=lot_no).order_by('row_no')) data_ho = list(chain(data_h1, data_h2)) if first_result: out_limit = f"Out 外 ({first_result.MI18} - {first_result.MI19})" in_limit = f"In 内 ({first_result.MI22} - {first_result.MI23})" mid_limit = f"Middle 中 -" else: out_limit = f"Out 外" in_limit = f"In 内" mid_limit = f"Middle 中" # Prepare placeholders # placeholders = {} placeholders = clear_values(16,5) # for i in range(1,7): # for j in range(1,4): # placeholders[f'v{i}_{j}'] = 0 placeholders['v6_0'] = placeholders['v14_0'] = out_limit placeholders['v7_0'] = placeholders['v15_0'] = mid_limit placeholders['v18_0'] = placeholders['v16_0'] = in_limit pprint(placeholders) pprint(manual_size_records) if first_result: w = first_result.PRO6 placeholders['v4_1'] = placeholders['v12_1'] = w dimens = AllProductDimensionForInsProcess.objects.filter(ProductCode=code) for m in dimens: # Changed from manual_size_records to dimens if m.Size_Name == "D": placeholders['v1_1'] = placeholders['v9_1'] = f'D{m.Std} +{m.TolUp} {m.TolUn}' if m.Size_Name == "T": placeholders['v2_1'] = placeholders['v10_1'] = f'T{m.Std} +{m.TolUp} {m.TolUn}' if m.Size_Name == "H": placeholders['v3_1'] = placeholders['v11_1'] = f'H{m.Std} +{m.TolUp} {m.TolUn}' # Ensure that we map each manualSize entry to a corresponding DataMs entry for r in data_ms_records: if r.row_no == 1: placeholders[f'v1_2'] = r.dsize placeholders[f'v1_3'] = r.dsizeok placeholders[f'v2_2'] = r.tsize placeholders[f'v2_3'] = r.tsizeok placeholders[f'v3_2'] = r.hsize placeholders[f'v3_3'] = r.hsizeok # if is_ok(r): # placeholders[f'v4_1'] = 'OK' # placeholders[f'v4_2'] = 'OK' # else: # placeholders[f'v4_1'] = 'NG' # placeholders[f'v4_2'] = 'OK' if r.row_no == 2: placeholders[f'v9_2'] = r.dsize placeholders[f'v9_3'] = r.dsizeok placeholders[f'v10_2'] = r.tsize placeholders[f'v10_3'] = r.tsizeok placeholders[f'v11_2'] = r.hsize placeholders[f'v11_3'] = r.hsizeok # if is_ok(r): # placeholders[f'v8_1'] = 'OK' # placeholders[f'v8_2'] = 'OK' # else: # placeholders[f'v8_1'] = 'NG' # placeholders[f'v8_2'] = 'NG' for r in data_wb: if r.row_no == 1: placeholders["v4_2"] = r.weight placeholders["v4_3"] = r.judgement if r.row_no == 2: placeholders["v12_2"] = r.weight placeholders["v12_3"] = r.judgement for r in data_ho: if r.row_no == 1: rmap = {'OUT': 6, 'MID': 7, 'IN': 8} for index, v in enumerate(["p1", "p2", "p3", "avg", "rgrade"], start=1): idx = rmap.get(r.r_type, None) if idx: placeholders[f'v{idx}_{index}'] = getattr(r, v) if r.row_no == 2: rmap = {'OUT': 14, 'MID': 15, 'IN': 16} for index, v in enumerate(["p1", "p2", "p3", "avg", "rgrade"], start=1): idx = rmap.get(r.r_type, None) if idx: placeholders[f'v{idx}_{index}'] = getattr(r, v) # hide_con(placeholders, "v5_1", "26:32") return placeholders def generate_dim_bal_app_rot_hard_values(lot_no, first_result, code): """ Fetch dimension records from manualSize and DataMs models and generate placeholder values for Standard, Actual, and Judgement. Supports two row_no entries per lot. """ # Fetch standard values from manualSize (limit to 2 rows) manual_size_records = Manualsize.objects.filter(lotno=lot_no) # Fetch actual and judgement values from DataMs ordered by row_no (limit to 2 rows) data_ms_records = DataMs.objects.filter(lot_no=lot_no).order_by('row_no') data_wb = DataWb.objects.filter(lot_no=lot_no).order_by('row_no') data_h1 = list(Data.objects.filter(lot_no=lot_no).order_by('row_no')) data_h2 = list(DataRl.objects.filter(lot_no=lot_no).order_by('row_no')) data_ho = list(chain(data_h1, data_h2)) rotates = RotateData.objects.filter(lot_no=lot_no).order_by('row_no') if first_result: out_limit = f"Out 外 ({first_result.MI18} - {first_result.MI19})" in_limit = f"In 内 ({first_result.MI22} - {first_result.MI23})" mid_limit = f"Middle 中 -" else: out_limit = f"Out 外" in_limit = f"In 内" mid_limit = f"Middle 中" # Prepare placeholders # placeholders = {} placeholders = clear_values(18,5) # for i in range(1,7): # for j in range(1,4): # placeholders[f'v{i}_{j}'] = 0 placeholders['v6_0'] = placeholders['v14_0'] = out_limit placeholders['v7_0'] = placeholders['v15_0'] = mid_limit placeholders['v18_0'] = placeholders['v16_0'] = in_limit pprint(placeholders) pprint(manual_size_records) if first_result: w = first_result.PRO6 placeholders['v4_1'] = placeholders['v13_1'] = w dimens = AllProductDimensionForInsProcess.objects.filter(ProductCode=code) for m in dimens: # Changed from manual_size_records to dimens if m.Size_Name == "D": placeholders['v1_1'] = placeholders['v10_1'] = f'D{m.Std} +{m.TolUp} {m.TolUn}' if m.Size_Name == "T": placeholders['v2_1'] = placeholders['v11_1'] = f'T{m.Std} +{m.TolUp} {m.TolUn}' if m.Size_Name == "H": placeholders['v3_1'] = placeholders['v12_1'] = f'H{m.Std} +{m.TolUp} {m.TolUn}' # Ensure that we map each manualSize entry to a corresponding DataMs entry for r in data_ms_records: if r.row_no == 1: placeholders[f'v1_2'] = r.dsize placeholders[f'v1_3'] = r.dsizeok placeholders[f'v2_2'] = r.tsize placeholders[f'v2_3'] = r.tsizeok placeholders[f'v3_2'] = r.hsize placeholders[f'v3_3'] = r.hsizeok # if is_ok(r): # placeholders[f'v4_1'] = 'OK' # placeholders[f'v4_2'] = 'OK' # else: # placeholders[f'v4_1'] = 'NG' # placeholders[f'v4_2'] = 'OK' if r.row_no == 2: placeholders[f'v10_2'] = r.dsize placeholders[f'v10_3'] = r.dsizeok placeholders[f'v11_2'] = r.tsize placeholders[f'v11_3'] = r.tsizeok placeholders[f'v12_2'] = r.hsize placeholders[f'v12_3'] = r.hsizeok # if is_ok(r): # placeholders[f'v8_1'] = 'OK' # placeholders[f'v8_2'] = 'OK' # else: # placeholders[f'v8_1'] = 'NG' # placeholders[f'v8_2'] = 'NG' for r in data_wb: if r.row_no == 1: placeholders["v4_2"] = r.weight placeholders["v4_3"] = r.judgement if r.row_no == 2: placeholders["v13_2"] = r.weight placeholders["v13_3"] = r.judgement for r in data_ho: if r.row_no == 1: rmap = {'OUT': 7, 'MID': 8, 'IN': 9} for index, v in enumerate(["p1", "p2", "p3", "avg", "rgrade"], start=1): idx = rmap.get(r.r_type, None) if idx: placeholders[f'v{idx}_{index}'] = getattr(r, v) if r.row_no == 2: rmap = {'OUT': 16, 'MID': 17, 'IN': 18} for index, v in enumerate(["p1", "p2", "p3", "avg", "rgrade"], start=1): idx = rmap.get(r.r_type, None) if idx: placeholders[f'v{idx}_{index}'] = getattr(r, v) for r in rotates: if r.row_no == 1: placeholders["v6_1"] = r.speed_spec placeholders["v6_2"] = r.speed_test placeholders["v6_3"] = r.speedok if r.row_no == 2: placeholders["v15_1"] = r.speed_spec placeholders["v15_2"] = r.speed_test placeholders["v15_3"] = r.speedok # hide_con(placeholders, "v5_1", "26:32") return placeholders def generate_centering_values(lot_no, code): """ Fetch dimension records from manualSize and DataMs models and generate placeholder values for Standard, Actual, and Judgement. Supports two row_no entries per lot. """ # Fetch standard values from manualSize (limit to 2 rows) manual_size_records = Manualsize.objects.filter(lotno=lot_no) # Fetch actual and judgement values from DataMs ordered by row_no (limit to 2 rows) data_ms_records = DataMs.objects.filter(lot_no=lot_no).order_by('row_no') # Prepare placeholders # placeholders = {} placeholders = clear_values(10,3) # for i in range(1,7): # for j in range(1,4): # placeholders[f'v{i}_{j}'] = 0 pprint(placeholders) pprint(manual_size_records) # Ensure that we map each manualSize entry to a corresponding DataMs entry for i,r in enumerate(data_ms_records, start=1): placeholders[f'v{i}_2'] = r.censize placeholders[f'v{i}_3'] = r.censizeok return placeholders def generate_t8_values(lot_no, code): """ Fetch dimension records from manualSize and DataMs models and generate placeholder values for Standard, Actual, and Judgement. Supports two row_no entries per lot. """ # Fetch standard values from manualSize (limit to 2 rows) placeholders = clear_values(8,10) manual_size_records = Manualsize.objects.filter(lotno=lot_no) # pprint(f"manual_size = {manual_size_records}") dimens = AllProductDimensionForInsProcess.objects.filter(ProductCode=code) for m in dimens: # Changed from manual_size_records to dimens if m.Size_Name == "Thickness": for i in range(1, 9): placeholders[f'v{i}_1'] = f'{m.Std} +{m.TolUp} {m.TolUn}' # pprint("set std") # Fetch actual and judgement values from DataMs ordered by row_no (limit to 2 rows) data_ms_records = DataMs.objects.filter(lot_no=lot_no).order_by('row_no') # Prepare placeholders # placeholders = {} # for i in range(1,7): # for j in range(1,4): # placeholders[f'v{i}_{j}'] = 0 # Ensure that we map each manualSize entry to a corresponding DataMs entry for i,r in enumerate(data_ms_records, start=1): placeholders[f'v{i}_2'] = r.tpoint1 placeholders[f'v{i}_3'] = r.tpoint2 placeholders[f'v{i}_4'] = r.tpoint3 placeholders[f'v{i}_5'] = r.tpoint4 placeholders[f'v{i}_10'] = r.tdiff return placeholders def merge_sheet_data_with_data(sheet_data, data): """ Merge `sheet_data` with `data`. :param sheet_data: Dictionary containing the sheet-specific data. :param data: Dictionary containing general data. :return: A merged dictionary combining both `sheet_data` and `data`. """ # Merge dictionaries using unpacking merged_data = {**data, **sheet_data} return merged_data def create_coi_file(lot_no, sheets, user, md): pprint("---- create_coi_file ---") pprint(md) qa1 = User.objects.get(pk=md['qa1']) qa2 = User.objects.get(pk=md['qa2']) accept = specialAccept = False if md['acceptStatus'] == "accepted": accept = True if md['acceptStatus'] == "special_accepted": specialAccept = True pprint(qa1) pprint(qa2) results = queryFromMaster(lot_no) first_result = results[0] if results else None code = first_result.PRO1 if first_result else None sheet_data = {} for sheet_name in sheets: if sheet_name == 'hardness_out': sheet_data[sheet_name] = generate_hardness_out_values(lot_no, code) elif sheet_name == 'hardness_out_in': sheet_data[sheet_name] = generate_hardness_out_in_values(lot_no, code) elif sheet_name == 'hardness_both_size': sheet_data[sheet_name] = generate_hardness_both_size_values(lot_no, first_result, code) elif sheet_name == 'dimension': sheet_data[sheet_name] = generate_dimension_values(lot_no, code) elif sheet_name == 'dimension_app': sheet_data[sheet_name] = generate_dimension_app_values(lot_no, code) elif sheet_name == 'dimension_bal_weight': sheet_data[sheet_name] = generate_dimension_bal_weight_values(lot_no, first_result, code) elif sheet_name == 'centering': sheet_data[sheet_name] = generate_centering_values(lot_no, code) elif sheet_name == 'thickness_8_point': sheet_data[sheet_name] = generate_t8_values(lot_no, code) elif sheet_name == 'dim_bal_app_hard': sheet_data[sheet_name] = generate_dim_bal_app_hard_values(lot_no, first_result, code) elif sheet_name == 'dim_bal_app_rot_hard': sheet_data[sheet_name] = generate_dim_bal_app_rot_hard_values(lot_no, first_result, code) converted_data = convert_sheet_data(sheet_data) print(f"sheet_data \n {sheet_data}") print(f"converted_data \n {converted_data}") # results = queryFromMaster(lot_no) # first_result = results[0] if results else None try: pcs = int(first_result.PRO5) - int(first_result.PRO27) except: pcs = 0 if first_result: size_str = f"{first_result.PRO10}x{first_result.PRO11}x{first_result.PRO12}"; spec = f"{first_result.PRO13} {first_result.PRO14} {first_result.PRO15} {first_result.PRO16} {first_result.PRO17} {first_result.PRO18}" else: size_str = "" spec = "" data = { "code": first_result.PRO1 if first_result else "-", "customer": first_result.PRO1C if first_result else "-", "inspect_date": "2025-01-15", "lot_no": lot_no, "size": size_str, "lot_size": pcs, "spec": spec, # "hardness_out.acc": True, # Hide rows 24 to 28 if the prefix is "0" # "hardness_out.spe_acc": False, # Hide rows 24 to 28 if the prefix is "0" "acc": accept, # Hide rows 24 to 28 if the prefix is "0" "spe_acc": specialAccept, # Hide rows 24 to 28 if the prefix is "0" # "hardness_out.qa1": f"{qa1.first_name} {qa1.last_name}", # "hardness_out.qa2": f"{qa2.first_name} {qa2.last_name}", "qa1": f"{qa1.first_name} {qa1.last_name}", "qa2": f"{qa2.first_name} {qa2.last_name}", "sign1": qa1.profile.signed_picture, "sign2": qa2.profile.signed_picture, "pos1": qa1.profile.get_position_display(), "pos2": qa2.profile.get_position_display() } merged_data = merge_sheet_data_with_data(converted_data, data) pprint(f"---- merged_data ---") pprint(merged_data) output_file = gen_xlsx( template_file=f"{settings.BASE_DIR}/report/coi_templates.xlsx", selected_sheets=sheets, # Replace with your actual sheet names prefix_filename=f"{settings.BASE_DIR}/media/coi_{lot_no}_", data=merged_data ) report = Report.objects.create( name=lot_no, created_by=user, file=None # Leave this as None or assign a file if required ) output_file_path = Path(output_file) # Convert to a Path object for convenience with open(output_file_path, "rb") as f: report.file.save(output_file_path.name, File(f), save=True) pprint(f"outputfile = {output_file}") return report SHEET_NAMES = { 'hardness_out': 'Hardness Out', 'hardness_out_in': 'Hardness Out/In', 'hardness_both_size': 'Hardness Both Size', 'dimension': 'Dimension', 'dimension_app': 'Dimension Appearance', 'dimension_bal_weight': 'Dimension Balance/Weight', 'dim_bal_app_hard': 'Dimension Balance/Appearance/Hardness', 'dim_bal_app_rot_hard': 'Dimension Balance/Appearance/Rotation/Hardness', 'thickness_8_point': 'Thickness 8 Points', 'centering': 'Centering', } def get_fields(model): # model_fields = {f.name: f for f in model._meta.get_fields()} # fields = list(model_fields.values()) # return fields fields = [f for f in model._meta.get_fields() if not f.auto_created] return fields def filter_by_lot_no(lot_no): models = [Data, DataMs, DataRl, DataWb, LotSummary, LotSummaryRl, LotSummaryWb, PressCal, RotateData ] # List of models to process results = {} fields = {} for model in models: model_fields = [f.name for f in model._meta.get_fields()] # Check if "id" and "row_no" are in the model's fields order_fields = [] if "id" in model_fields: order_fields.append("id") if "row_no" in model_fields: order_fields.append("row_no") # Dynamically filter and order results model_name = model.__name__ if order_fields: results[model_name] = model.objects.filter(lot_no=lot_no).order_by(*order_fields) else: results[model_name] = model.objects.filter(lot_no=lot_no) # No fields[model_name] = get_fields(model) return results, fields def coi_view(request): pprint(f"xxxx method = xxx {request.method}") users = User.objects.all() if request.method == "POST": pprint(request.POST) exports = request.POST.getlist("exports") # Retrieve the list of selected values pprint(f"Selected Export Options: {exports}") if 'export' in request.POST: data = { "customer": "Tum Coder", "inspect_date": "2025-01-15", "lot_no": "12345", "staff_name": "Tum 8888", "man_name": "Tum 999", "size": "Large", "lot_size": "10 pcs", "spec": "Spec-A", "hardness_out.d1_act": "10", "hardness_out.d2_act": "0[24:28]", # Hide rows 24 to 28 if the prefix is "0" "hardness_out.acc": True, # Hide rows 24 to 28 if the prefix is "0" "hardness_out.spe_acc": False, # Hide rows 24 to 28 if the prefix is "0" "dimension_app.d1_act": "33", "dimension_app.d2_act": "0[26:32]", # Hide rows 24 to 28 if the prefix is "0" "dimension_app.acc": True, # Hide rows 24 to 28 if the prefix is "0" "dimension_app.spe_acc": True, # Hide rows 24 to 28 if the prefix is "0" } output_file = gen_xlsx( template_file="/app/report/coi_templates.xlsx", selected_sheets=exports, # Replace with your actual sheet names prefix_filename="/app/media/coi", data=data ) report = Report.objects.create( name=request.POST.get('lot_no','Untitled'), created_by=request.user, file=None # Leave this as None or assign a file if required ) output_file_path = Path(output_file) # Convert to a Path object for convenience with open(output_file_path, "rb") as f: report.file.save(output_file_path.name, File(f), save=True) pprint(f"outputfile = {output_file}") if 'search_lot' in request.POST: lot_no = request.POST.get('lot_no', None) lot_no = lot_no.strip() if lot_no: results = queryFromMaster(lot_no) first_result = results[0] if results else None try: pcs = int(first_result.PRO5) - int(first_result.PRO27) except: pcs = 0 if first_result: size_str = f"{first_result.PRO10}x{first_result.PRO11}x{first_result.PRO12}"; spec = f"{first_result.PRO13} {first_result.PRO14} {first_result.PRO15} {first_result.PRO16} {first_result.PRO17} {first_result.PRO18}" else: size_str = "" spec = "" results, fields = filter_by_lot_no(lot_no) # results1 = Data.objects.filter(lot_no=lot_no).order_by("id", "row_no") # fields1 = get_fields(Data) # results2 = DataMs.objects.filter(lot_no=lot_no).order_by("id", "row_no") # fields2 = get_fields(DataMs) return render(request, 'report/coi.html', {'result': first_result, 'pcs':pcs, 'size_str': size_str, 'lot_no': lot_no, 'spec': spec, 'users': users, 'SHEET_NAMES': SHEET_NAMES, 'results': results, 'fields': fields}) messages.success(request, "Request Sent") return redirect(request.path_info) return render(request, 'report/coi.html', {'SHEET_NAMES': SHEET_NAMES, 'users': users}) @csrf_exempt # Disable CSRF for API requests (ensure this is secure in production) @login_required def gen_report_view(request): if request.method == "POST": # try: # Parse JSON data from the request body data = json.loads(request.body) lot_no = data.get("lot_no").strip() exports = data.get("exports") qa1 = data.get('qa1') qa2 = data.get('qa2') print(f"data = {data}") if not lot_no: return HttpResponseBadRequest("Missing 'lot_no' in request data") # Call the `create_coi_file` function with the provided lot_no report = create_coi_file(lot_no, exports, request.user, {'qa1': qa1, 'qa2': qa2, \ 'acceptStatus': data.get('acceptStatus')}) # Return a success response with the report details return JsonResponse({ "message": "Report generated successfully", "report_id": report.id, "file_url": report.file.url if report.file else None, }) # except json.JSONDecodeError: # return HttpResponseBadRequest("Invalid JSON data") # except Exception as e: # pprint(e) # return JsonResponse({"error": str(e)}, status=500) else: return HttpResponseBadRequest("Only POST requests are allowed")