notebook

Testy/06 Testy.py

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+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import json
+import requests
+import pymysql
+from pathlib import Path
+
+# ==============================
+# 🔧 KONFIGURACE
+# ==============================
+TOKEN_PATH = Path("token.txt")
+CLINIC_SLUG = "mudr-buzalkova"
+GRAPHQL_URL = "https://api.medevio.cz/graphql"
+
+DB_CONFIG = {
+    "host": "192.168.1.76",
+    "port": 3307,
+    "user": "root",
+    "password": "Vlado9674+",
+    "database": "medevio",
+    "charset": "utf8mb4",
+    "cursorclass": pymysql.cursors.DictCursor,
+}
+
+# počet pacientů na stránku
+PAGE_SIZE = 100
+
+
+# ==============================
+# 📌 GRAPHQL QUERY
+# ==============================
+QUERY = """
+query PatientGridImpl_ListClinicPatients(
+  $clinicSlug: String!,
+  $filter: ListPatientFilter!,
+  $pageInfo: PageInfo!,
+  $sort: [ListPatientsSort!]
+) {
+  patientsList: listPatients(
+    clinicSlug: $clinicSlug
+    filter: $filter
+    pageInfo: $pageInfo
+    sort: $sort
+  ) {
+    count
+    patients {
+      id
+      identificationNumber
+      insuranceCompanyObject {
+        id
+        shortName
+      }
+      name
+      surname
+      phone
+      sex
+      status2
+      type
+      kind
+      isInClinic
+      isUnknownPatient
+      user {
+        registrationCompletedTime
+      }
+      clinics {
+        id
+        name
+        slug
+      }
+      tags(onlyImportant: false) {
+        id
+        name
+        color
+        icon
+      }
+    }
+  }
+}
+"""
+from datetime import datetime
+
+def normalize_dt(dt_str):
+    if not dt_str:
+        return None
+    # remove Z
+    dt_str = dt_str.replace("Z", "")
+    # replace T with space
+    dt_str = dt_str.replace("T", " ")
+    # remove fractional seconds
+    if "." in dt_str:
+        dt_str = dt_str.split(".")[0]
+    return dt_str  # MySQL can accept "YYYY-MM-DD HH:MM:SS"
+
+# ==============================
+# 💾 ULOŽENÍ PACIENTA
+# ==============================
+def save_patient_summary(cur, p):
+    sql = """
+    REPLACE INTO medevio_pacienti (
+        id, jmeno, prijmeni, rodne_cislo, telefon, pohlavi,
+        pojistovna_id, pojistovna_nazev,
+        status, typ, kind,
+        is_in_clinic, is_unknown,
+        registration_time,
+        tags_json, clinics_json,
+        last_update
+    )
+    VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,NOW())
+    """
+
+    ins = p.get("insuranceCompanyObject") or {}
+    user = p.get("user") or {}
+
+    cur.execute(sql, (
+        p.get("id"),
+        p.get("name"),
+        p.get("surname"),
+        p.get("identificationNumber"),
+        p.get("phone"),
+        p.get("sex"),
+        ins.get("id"),
+        ins.get("shortName"),
+        p.get("status2"),
+        p.get("type"),
+        p.get("kind"),
+        1 if p.get("isInClinic") else 0,
+        1 if p.get("isUnknownPatient") else 0,
+        normalize_dt(user.get("registrationCompletedTime")),
+        json.dumps(p.get("tags"), ensure_ascii=False),
+        json.dumps(p.get("clinics"), ensure_ascii=False),
+    ))
+
+
+# ==============================
+# 🧠 MAIN
+# ==============================
+def main():
+    token = TOKEN_PATH.read_text().strip()
+    headers = {
+        "Authorization": f"Bearer {token}",
+        "Content-Type": "application/json",
+        "Accept": "application/json",
+    }
+
+    conn = pymysql.connect(**DB_CONFIG)
+    cur = conn.cursor()
+
+    offset = 0
+    total = None
+
+    print("⏳ Starting patient sync...\n")
+
+    while True:
+        print(f"➡️ Fetching patients {offset}–{offset + PAGE_SIZE} ...")
+
+        variables = {
+            "clinicSlug": CLINIC_SLUG,
+            "filter": {},
+            "pageInfo": {"first": PAGE_SIZE, "offset": offset},
+            "sort": [{"field": "ReverseFullName", "sort": "ASC"}],
+        }
+
+        response = requests.post(
+            GRAPHQL_URL,
+            json={"query": QUERY, "variables": variables},
+            headers=headers,
+            timeout=30
+        )
+        response.raise_for_status()
+        data = response.json()
+
+        block = data["data"]["patientsList"]
+        if total is None:
+            total = block["count"]
+            print(f"📌 Total patients: {total}\n")
+
+        patients = block["patients"]
+
+        if not patients:
+            print("✅ No more patients. Finished.")
+            break
+
+        # save each patient
+        for p in patients:
+            save_patient_summary(cur, p)
+
+        conn.commit()
+
+        print(f"   ✓ Saved {len(patients)} patients.")
+
+        offset += PAGE_SIZE
+        if offset >= total:
+            print("\n✅ All patients downloaded.")
+            break
+
+    cur.close()
+    conn.close()
+
+
+# ==============================
+if __name__ == "__main__":
+    main()