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sas.fajri
417
cpone-dashboard/scripts/demo_seed.py
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417
cpone-dashboard/scripts/demo_seed.py
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#!/usr/bin/env python3
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"""
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demo_seed.py — Generate demo data for MCU PROJECT DEMO 2026 (ID=9999)
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Usage: python3 demo_seed.py | mysql -u admin -pSasone!102938 cpone_dashboard
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Data distribution:
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- 1500 patients, 75/day over April 20 – May 9, 2026
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- April 20–28 (days 0–8, patients 1–675): fully completed MCU
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- every 15th patient: 2-day checkin
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- April 29 (day 9, patients 676–750): checked in, most stations done
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- a few lab stations still processing
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- April 30 (day 10, patients 751–825): ongoing today
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- 751–810 (60 patients): checked in this morning, partial stations
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- 811–825 (15 patients): not yet arrived
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- May 1–9 (days 11–19, patients 826–1500): not yet
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"""
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from datetime import date, datetime, timedelta
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# ── constants ──────────────────────────────────────────────────────────────────
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MCU_ID = 9999
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BASE_ID = 900000 # preregister_id = BASE_ID + i (900001–901500)
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START_DATE = date(2026, 4, 20)
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TODAY = date(2026, 4, 30)
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N_PATIENTS = 1500
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PER_DAY = 75
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MALE_FIRST = ['Budi','Agus','Deni','Rizki','Hendra','Andi','Fajar','Rendi',
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'Wahyu','Dito','Bagas','Kevin','Andre','Yoga','Raka','Faisal',
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'Eko','Iwan','Joko','Teguh']
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FEMALE_FIRST= ['Siti','Ani','Dewi','Rina','Fitri','Nurul','Lilis','Putri',
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'Nadya','Citra','Alya','Sinta','Nabila','Dian','Reni','Maya',
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'Ira','Yuni','Wati','Tini']
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LAST_NAMES = ['Santoso','Wijaya','Pratama','Kurnia','Saputra','Wulandari',
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'Lestari','Nugroho','Halim','Sari','Rahman','Hidayat',
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'Firmansyah','Kusuma','Raharjo','Setiawan','Wahyudi','Susanto',
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'Purnomo','Hakim','Mulyadi','Astuti','Permata','Handoko','Budiman']
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DEPTS = ['HR','Finance','Production','Engineering','IT','QA','Procurement',
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'Warehouse','Security','Marketing','Legal','Operations','HSE',
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'Maintenance','Accounting','Sales','Logistics','R&D','Admin','Management']
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POSITIONS = ['Staff','Supervisor','Manager','Operator','Technician','Analyst',
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'Coordinator','Head','Specialist','Officer','Inspector','Foreman',
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'Executive','Director','Senior Staff']
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# stations: (station_id, name, source)
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STATIONS = [
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(1, 'Sample Station Phlebotomy', 'lab'),
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(31, 'Sample Station Urine', 'lab'),
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(17, 'Sample Station TB/BB', 'nonlab'),
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(4, 'Sample Station Treadmill', 'nonlab'),
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(5, 'Sample Station ECG', 'nonlab'),
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(2, 'Sample Station Rontgen', 'nonlab'),
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(7, 'Sample Station Pemeriksaan Fisik', 'nonlab'),
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(33, 'Sample Station Visus dan Buta Warna','nonlab'),
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]
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KELAINAN_GROUPS = [
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('BMI', 'BMI Abnormal', 0.28),
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('Hipertensi', 'Hipertensi', 0.15),
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('Kelainan Visus', 'Kelainan Refraksi', 0.20),
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('Ganguan Metabolisme Lemak', 'Dislipidemia', 0.12),
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('Kelainan Hematologi', 'Hemoglobin Rendah', 0.08),
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('Kelainan Fisik', 'Kelainan Muskuloskeletal', 0.10),
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]
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FITNESS_CATS = {
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'BMI': ('Fit dengan Catatan', 'Fit with Note', 2),
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'Hipertensi': ('Tidak Fit Sementara','Temporary Unfit',3),
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'Kelainan Visus': ('Fit dengan Catatan', 'Fit with Note', 2),
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'Ganguan Metabolisme Lemak': ('Fit dengan Catatan', 'Fit with Note', 2),
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'Kelainan Hematologi': ('Fit dengan Catatan', 'Fit with Note', 2),
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'Kelainan Fisik': ('Fit dengan Catatan', 'Fit with Note', 2),
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}
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PDF_BASE = '2026/04'
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PDF_COUNT = 80 # patients 1–80 get a PDF file
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lines = []
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def q(s):
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if s is None:
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return 'NULL'
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return "'" + str(s).replace("'", "''") + "'"
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def dt(d, h, m, extra_min=0):
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"""Return DATETIME string for date d, time h:m plus extra_min."""
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base = datetime(d.year, d.month, d.day, h, m)
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base += timedelta(minutes=extra_min)
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return base.strftime('%Y-%m-%d %H:%M:%S')
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# ── header ─────────────────────────────────────────────────────────────────────
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lines.append("SET FOREIGN_KEY_CHECKS = 0;")
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lines.append("SET @mcu = 9999;")
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lines.append("")
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# ── cleanup ────────────────────────────────────────────────────────────────────
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lines.append("-- cleanup existing demo data")
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lines.append("DELETE FROM mcu_station_progress WHERE Mcu_StationProgressMcuID = 9999;")
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lines.append("DELETE FROM mcu_checkinout WHERE Mcu_CheckinoutMcuID = 9999;")
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lines.append("DELETE FROM mcu_patient_required_station WHERE preregister_id BETWEEN 900001 AND 901500;")
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lines.append("DELETE FROM mcu_patient_schedule WHERE Mcu_PatientSchedulePreregisterID BETWEEN 900001 AND 901500;")
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lines.append("DELETE FROM mcu_patient_resume_status WHERE Mcu_PatientResumeStatusMcuID = 9999;")
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lines.append("DELETE FROM published_mcu_dashboard_sync WHERE Published_McuDasboardT_OrderHeaderID BETWEEN 900001 AND 901500;")
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lines.append("DELETE FROM kelainan_details WHERE Mgm_McuID = 9999;")
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lines.append("DELETE FROM mcu_participant_daily WHERE Mcu_ParticipantDailyMcuID = 9999;")
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lines.append("DELETE FROM mcu_patient WHERE Mcu_PatientMcuID = 9999;")
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lines.append("DELETE FROM mcu_project WHERE Mcu_ProjectMcuID = 9999;")
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lines.append("")
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# ── project ────────────────────────────────────────────────────────────────────
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lines.append("-- project")
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lines.append(
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"INSERT INTO mcu_project "
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"(Mcu_ProjectMcuID, Mcu_ProjectCorporateID, Mcu_ProjectCorporateName, "
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" Mcu_ProjectNumber, Mcu_ProjectLabel, Mcu_ProjectBranchID, "
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" Mcu_ProjectStartDate, Mcu_ProjectEndDate, "
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" Mcu_ProjectIsActive, Mcu_ProjectTotalParticipant, Mcu_ProjectSyncedAt) "
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"VALUES "
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f"(9999, 9999, 'PT DEMO CORPORATION', 'MCU-DEMO-2026', 'MCU PROJECT DEMO 2026', "
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f"1, '2026-04-20', '2026-05-10', 'Y', 1500, NOW());"
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)
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lines.append("")
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# ── participant daily ──────────────────────────────────────────────────────────
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lines.append("-- participant daily totals")
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daily_rows = []
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for day_idx in range(20):
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d = START_DATE + timedelta(days=day_idx)
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daily_rows.append(
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f"(9999, '{d}', {PER_DAY}, 'Y', NOW(), NOW())"
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)
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lines.append(
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"INSERT INTO mcu_participant_daily "
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"(Mcu_ParticipantDailyMcuID, Mcu_ParticipantDailyDate, Mcu_ParticipantDailyTotal, "
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" Mcu_ParticipantDailyIsActive, Mcu_ParticipantDailyCreated, Mcu_ParticipantDailyLastUpdated) "
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"VALUES\n " + ",\n ".join(daily_rows) + ";"
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)
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lines.append("")
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# ── patients, schedules, required stations, checkinout, stations ───────────────
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patient_rows = []
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schedule_rows = []
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req_station_rows = [] # location_id 1–8 per station, unique per (preregister_id, location_id)
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checkin_rows = []
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station_rows = []
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resume_rows = []
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published_rows = []
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kelainan_rows = []
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for i in range(1, N_PATIENTS + 1):
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pid = BASE_ID + i # preregister_id
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oid = BASE_ID + i # order_id (same for simplicity)
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day_idx = (i - 1) // PER_DAY
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sched_date = START_DATE + timedelta(days=day_idx)
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# name / gender
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g_idx = (i - 1) % 40
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if g_idx < 20:
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gender = 'Male'
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first = MALE_FIRST[g_idx % len(MALE_FIRST)]
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else:
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gender = 'Female'
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first = FEMALE_FIRST[(g_idx - 20) % len(FEMALE_FIRST)]
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last = LAST_NAMES[(i + 7) % len(LAST_NAMES)]
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name = f"{first} {last}"
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nip = f"EMP{pid}"
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dept = DEPTS[(i + 3) % len(DEPTS)]
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posisi = POSITIONS[i % len(POSITIONS)]
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age = 22 + ((i * 3 + 7) % 34) # 22–55
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dob = date(2026 - age, 1, 1).isoformat()
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lab_no = f"R2604{i:04d}"
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patient_rows.append(
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f"({pid}, {MCU_ID}, {q(name)}, {q(nip)}, {q(gender)}, "
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f"{q(dob)}, {age}, {q(dept)}, {q(posisi)}, "
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f"{oid}, 'Y', 'Y', NOW())"
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)
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schedule_rows.append(
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f"({pid}, '{sched_date}', 'Y', NOW())"
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)
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# required stations — location_id 1–8 per station so unique key (preregister_id, location_id) holds
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for loc_id, (sid, sname, _) in enumerate(STATIONS, start=1):
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req_station_rows.append(
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f"({MCU_ID}, {pid}, {oid}, {loc_id}, {sid}, {q(sname)})"
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)
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# ─ checkinout & station progress ─────────────────────────────────────────
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is_two_day = (i % 15 == 0) and (sched_date <= date(2026, 4, 28))
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cin_h = 7 + (i % 3)
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cin_m = (i * 7) % 60
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def add_checkin(d, h, m, out_offset_min):
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ci = dt(d, h, m)
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co = dt(d, h, m, out_offset_min) if out_offset_min else 'NULL'
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co_val = q(co) if out_offset_min else 'NULL'
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checkin_rows.append(
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f"({MCU_ID}, {pid}, {oid}, '{d}', '{h:02d}:{m:02d}:00', {co_val}, 'Y', NOW())"
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)
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def add_station(d, sid, sname, src, sampling_off, recv_off, proc_off, done_off):
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"""All offsets in minutes from d h:m; None = NULL."""
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base_h, base_m = cin_h, cin_m
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def ts(off):
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if off is None: return 'NULL'
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return q(dt(d, base_h, base_m, off))
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if src == 'lab':
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station_rows.append(
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f"({oid}, {pid}, {MCU_ID}, {sid}, {q(sname)}, {q(src)}, '{d}', "
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f"{ts(sampling_off)}, {ts(recv_off)}, {ts(proc_off)}, {ts(done_off)}, NOW())"
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)
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else:
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station_rows.append(
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f"({oid}, {pid}, {MCU_ID}, {sid}, {q(sname)}, {q(src)}, '{d}', "
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f"NULL, NULL, {ts(proc_off)}, {ts(done_off)}, NOW())"
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)
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# ─ CASE 1: fully done (April 20–28) ──────────────────────────────────────
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if sched_date < date(2026, 4, 29):
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if is_two_day:
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# day 1: 4 stations, day 2: remaining 4
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add_checkin(sched_date, cin_h, cin_m, 200)
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# day 1 stations
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add_station(sched_date, 1, 'Sample Station Phlebotomy', 'lab', 30, 45, 90, 120)
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add_station(sched_date, 31, 'Sample Station Urine', 'lab', 20, 35, 75, 95)
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add_station(sched_date, 17, 'Sample Station TB/BB', 'nonlab', None,None, 15, 25)
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add_station(sched_date, 4, 'Sample Station Treadmill', 'nonlab', None,None, 45, 65)
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# day 2
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d2 = sched_date + timedelta(days=1)
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add_checkin(d2, 8, 0, 180)
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# for day2 stations, use 8:00 as base — override cin_h/cin_m temporarily
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orig_h, orig_m = cin_h, cin_m
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cin_h, cin_m = 8, 0
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add_station(d2, 5, 'Sample Station ECG', 'nonlab', None,None, 20, 35)
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add_station(d2, 2, 'Sample Station Rontgen', 'nonlab', None,None, 50, 70)
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add_station(d2, 7, 'Sample Station Pemeriksaan Fisik', 'nonlab', None,None, 80, 100)
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add_station(d2, 33, 'Sample Station Visus dan Buta Warna','nonlab', None,None,115, 135)
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cin_h, cin_m = orig_h, orig_m
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else:
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add_checkin(sched_date, cin_h, cin_m, 240 + (i % 60))
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add_station(sched_date, 1, 'Sample Station Phlebotomy', 'lab', 30, 45, 90, 120)
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add_station(sched_date, 31, 'Sample Station Urine', 'lab', 20, 35, 75, 95)
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add_station(sched_date, 17, 'Sample Station TB/BB', 'nonlab', None,None, 15, 25)
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add_station(sched_date, 4, 'Sample Station Treadmill', 'nonlab', None,None, 45, 65)
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add_station(sched_date, 5, 'Sample Station ECG', 'nonlab', None,None, 75, 95)
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add_station(sched_date, 2, 'Sample Station Rontgen', 'nonlab', None,None,110, 130)
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add_station(sched_date, 7, 'Sample Station Pemeriksaan Fisik', 'nonlab', None,None,145, 165)
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add_station(sched_date, 33, 'Sample Station Visus dan Buta Warna','nonlab',None,None,175, 200)
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# ─ CASE 2: April 29 — checked in, most stations done ────────────────────
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elif sched_date == date(2026, 4, 29):
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add_checkin(sched_date, cin_h, cin_m, None) # no checkout yet
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add_station(sched_date, 17, 'Sample Station TB/BB', 'nonlab', None,None, 15, 25)
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add_station(sched_date, 4, 'Sample Station Treadmill', 'nonlab', None,None, 45, 65)
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add_station(sched_date, 5, 'Sample Station ECG', 'nonlab', None,None, 80, 95)
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add_station(sched_date, 2, 'Sample Station Rontgen', 'nonlab', None,None, 110, 130)
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add_station(sched_date, 7, 'Sample Station Pemeriksaan Fisik', 'nonlab', None,None, 145, 165)
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add_station(sched_date, 33, 'Sample Station Visus dan Buta Warna','nonlab',None,None, 175, 195)
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# some patients: lab still processing
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if i % 4 == 0:
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# lab done
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add_station(sched_date, 1, 'Sample Station Phlebotomy', 'lab', 30, 45, 90, 120)
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add_station(sched_date, 31, 'Sample Station Urine', 'lab', 20, 35, 75, 95)
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else:
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# lab in process — no DoneAt
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add_station(sched_date, 1, 'Sample Station Phlebotomy', 'lab', 30, 45, None, None)
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add_station(sched_date, 31, 'Sample Station Urine', 'lab', 20, 35, None, None)
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# ─ CASE 3: April 30 — today ──────────────────────────────────────────────
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elif sched_date == TODAY:
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local_idx = i - 750 # 1–75 within today
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if local_idx <= 60:
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# arrived this morning — partial stations
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add_checkin(sched_date, cin_h, cin_m, None)
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add_station(sched_date, 17, 'Sample Station TB/BB', 'nonlab', None,None, 15, 25)
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add_station(sched_date, 4, 'Sample Station Treadmill', 'nonlab', None,None, 45, 65)
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if local_idx % 3 == 0:
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# 20 patients done 3 stations
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add_station(sched_date, 5, 'Sample Station ECG', 'nonlab', None,None, 80, 95)
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if local_idx % 5 == 0:
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# 12 patients done lab too
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add_station(sched_date, 1, 'Sample Station Phlebotomy', 'lab', 30, 45, None, None)
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add_station(sched_date, 31, 'Sample Station Urine', 'lab', 20, 35, None, None)
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# patients 61–75: not yet arrived (no checkin, no stations)
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# ─ resume status & published ─────────────────────────────────────────────
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# validated: April 20–27 (days 0–7)
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# published: April 20–25 (days 0–5)
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if day_idx <= 7:
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validated = 'Y'
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status = 'DONE'
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else:
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validated = 'N'
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status = ''
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published = 'Y' if day_idx <= 5 else 'N'
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if sched_date < TODAY:
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resume_rows.append(
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f"({pid}, {MCU_ID}, {q(status)}, {q(validated)}, {q(published)}, NOW())"
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)
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# published_mcu_dashboard_sync — all patients from sched < today get a row
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if sched_date < TODAY:
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has_pdf = (i <= PDF_COUNT)
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file_url = f"'{PDF_BASE}/R2604{i:04d}_resume_individu.pdf'" if has_pdf else 'NULL'
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pdf_status = 'Y' if has_pdf else 'N'
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published_rows.append(
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f"({oid}, {q(pdf_status)}, {file_url}, 'Y', NOW(), 0, NOW(), 0)"
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)
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# kelainan_details — ~33% of validated patients (days 0–7)
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if day_idx <= 7 and validated == 'Y' and i % 3 == 0:
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for (grp, kname, prob) in KELAINAN_GROUPS:
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# Use deterministic threshold based on i and grp index
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grp_idx = KELAINAN_GROUPS.index((grp, kname, prob))
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threshold = int(prob * 100)
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if (i + grp_idx * 17) % 100 < threshold:
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fcat_name, fcat_eng, fcat_lvl = FITNESS_CATS[grp]
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kelainan_rows.append(
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f"('MCU-DEMO-2026', {oid}, '{sched_date} 08:00:00', {q(lab_no)}, "
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f"{age}, {pid}, {q(gender)}, {q(nip)}, {q(dept)}, {q(dept)}, "
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f"{q(name)}, {q(name)}, {q(grp)}, 1, {q(kname)}, {q(kname)}, "
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f"1, {q(kname)}, 1, {q(grp)}, "
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f"1, {q(fcat_name)}, {q(fcat_eng)}, {fcat_lvl}, "
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f"{MCU_ID}, NULL, NULL)"
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)
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# ── batch insert helpers ───────────────────────────────────────────────────────
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CHUNK = 200
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def emit_inserts(table, cols, rows, chunk=CHUNK):
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if not rows:
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return
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lines.append(f"-- {table} ({len(rows)} rows)")
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for start in range(0, len(rows), chunk):
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batch = rows[start:start+chunk]
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lines.append(
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f"INSERT INTO {table} ({cols}) VALUES\n " +
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",\n ".join(batch) + ";"
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)
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lines.append("")
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emit_inserts(
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"mcu_patient",
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"Mcu_PatientPreregisterID, Mcu_PatientMcuID, Mcu_PatientName, Mcu_PatientNIP, "
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"Mcu_PatientGender, Mcu_PatientDOB, Mcu_PatientAge, Mcu_PatientDepartment, "
|
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"Mcu_PatientPosisi, Mcu_PatientOrderID, Mcu_PatientIsRegistered, Mcu_PatientIsActive, "
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"Mcu_PatientSyncedAt",
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patient_rows
|
||||
)
|
||||
|
||||
emit_inserts(
|
||||
"mcu_patient_schedule",
|
||||
"Mcu_PatientSchedulePreregisterID, Mcu_PatientScheduleDate, "
|
||||
"Mcu_PatientScheduleIsActive, Mcu_PatientScheduleSyncedAt",
|
||||
schedule_rows
|
||||
)
|
||||
|
||||
emit_inserts(
|
||||
"mcu_patient_required_station",
|
||||
"mcu_id, preregister_id, order_header_id, location_id, sample_station_id, station_name",
|
||||
req_station_rows
|
||||
)
|
||||
|
||||
emit_inserts(
|
||||
"mcu_checkinout",
|
||||
"Mcu_CheckinoutMcuID, Mcu_CheckinoutPreregisterID, Mcu_CheckinoutOrderID, "
|
||||
"Mcu_CheckinoutDate, Mcu_CheckinoutInTime, Mcu_CheckinoutOutTime, "
|
||||
"Mcu_CheckinoutIsActive, Mcu_CheckinoutSyncedAt",
|
||||
checkin_rows
|
||||
)
|
||||
|
||||
emit_inserts(
|
||||
"mcu_station_progress",
|
||||
"Mcu_StationProgressOrderID, Mcu_StationProgressPreregisterID, Mcu_StationProgressMcuID, "
|
||||
"Mcu_StationProgressStationID, Mcu_StationProgressStationName, Mcu_StationProgressSource, "
|
||||
"Mcu_StationProgressCheckinDate, Mcu_StationProgressSamplingAt, Mcu_StationProgressReceiveAt, "
|
||||
"Mcu_StationProgressProcessAt, Mcu_StationProgressDoneAt, Mcu_StationProgressSyncedAt",
|
||||
station_rows
|
||||
)
|
||||
|
||||
emit_inserts(
|
||||
"mcu_patient_resume_status",
|
||||
"Mcu_PatientResumeStatusPreregisterID, Mcu_PatientResumeStatusMcuID, "
|
||||
"Mcu_PatientResumeStatusStatus, Mcu_PatientResumeStatusValidated, "
|
||||
"Mcu_PatientResumeStatusPublished, Mcu_PatientResumeSyncedAt",
|
||||
resume_rows
|
||||
)
|
||||
|
||||
emit_inserts(
|
||||
"published_mcu_dashboard_sync",
|
||||
"Published_McuDasboardT_OrderHeaderID, Published_McuDasboardStatus, "
|
||||
"Published_McuDasboardFileUrl, Published_McuDasboardIsActive, "
|
||||
"Published_McuDasboardCreated, Published_McuDasboardCreatedUserID, "
|
||||
"Published_McuDasboardLastUpdated, Published_McuDasboardLastUpdatedUserID",
|
||||
published_rows
|
||||
)
|
||||
|
||||
emit_inserts(
|
||||
"kelainan_details",
|
||||
"Numbering, T_OrderHeaderID, T_OrderHeaderDate, T_OrderHeaderLabNumber, "
|
||||
"AgePatient, M_PatientID, M_PatientGender, M_PatientNIP, "
|
||||
"M_PatientDepartement, M_PatientDivisi, PatientName, M_PatientName, "
|
||||
"GroupResult, Nat_TestID, Nat_TestCode, Nat_TestName, "
|
||||
"Mcu_KelainanID, Mcu_KelainanName, Mcu_KelainanGroupSummaryID, Mcu_KelainanGroupSummaryName, "
|
||||
"Mcu_FitnessCategoryID, Mcu_FitnessCategoryName, Mcu_FitnessCategoryEng, Mcu_FitnessCategoryLevel, "
|
||||
"Mgm_McuID, Mcu_GenerateID, Mcu_ProjectID",
|
||||
kelainan_rows
|
||||
)
|
||||
|
||||
lines.append("SET FOREIGN_KEY_CHECKS = 1;")
|
||||
lines.append("SELECT 'Demo data seeded successfully.' AS status;")
|
||||
|
||||
print('\n'.join(lines))
|
||||
Reference in New Issue
Block a user