192 lines
5.2 KiB
Python
192 lines
5.2 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import pymysql
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import requests
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from pathlib import Path
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from datetime import datetime
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import time
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import time, socket
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# for _ in range(30):
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# try:
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# socket.create_connection(("127.0.0.1", 3307), timeout=3).close()
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# break
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# except OSError:
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# time.sleep(10)
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# ================================
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# 🔧 CONFIGURATION
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# ================================
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TOKEN_PATH = Path("token.txt")
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CLINIC_SLUG = "mudr-buzalkova"
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BATCH_SIZE = 100
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DONE_LIMIT = 200 # only last 200 DONE
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DB_CONFIG = {
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"host": "192.168.1.76",
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"port": 3307,
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"user": "root",
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"password": "Vlado9674+",
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"database": "medevio",
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"charset": "utf8mb4",
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"cursorclass": pymysql.cursors.DictCursor,
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}
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GRAPHQL_QUERY = r"""
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query ClinicRequestGrid_ListPatientRequestsForClinic2(
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$clinicSlug: String!,
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$queueId: String,
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$queueAssignment: QueueAssignmentFilter!,
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$pageInfo: PageInfo!,
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$locale: Locale!,
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$state: PatientRequestState
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) {
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requestsResponse: listPatientRequestsForClinic2(
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clinicSlug: $clinicSlug,
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queueId: $queueId,
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queueAssignment: $queueAssignment,
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pageInfo: $pageInfo,
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state: $state
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) {
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count
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patientRequests {
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id
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displayTitle(locale: $locale)
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createdAt
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updatedAt
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doneAt
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removedAt
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extendedPatient {
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name
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surname
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identificationNumber
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}
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}
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}
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}
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"""
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# ================================
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# 🔑 TOKEN
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# ================================
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def read_token(p: Path) -> str:
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tok = p.read_text(encoding="utf-8").strip()
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if tok.startswith("Bearer "):
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tok = tok.split(" ", 1)[1]
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return tok
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# ================================
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# 🕒 DATETIME CONVERSION
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# ================================
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def to_mysql_dt(iso_str):
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if not iso_str:
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return None
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try:
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dt = datetime.fromisoformat(iso_str.replace("Z", "+00:00"))
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return dt.strftime("%Y-%m-%d %H:%M:%S")
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except Exception:
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return None
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# ================================
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# 💾 UPSERT TO MYSQL
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# ================================
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def upsert(conn, r):
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p = (r.get("extendedPatient") or {})
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sql = """
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INSERT INTO pozadavky (
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id, displayTitle, createdAt, updatedAt, doneAt, removedAt,
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pacient_jmeno, pacient_prijmeni, pacient_rodnecislo
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) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s)
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ON DUPLICATE KEY UPDATE
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displayTitle=VALUES(displayTitle),
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updatedAt=VALUES(updatedAt),
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doneAt=VALUES(doneAt),
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removedAt=VALUES(removedAt),
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pacient_jmeno=VALUES(pacient_jmeno),
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pacient_prijmeni=VALUES(pacient_prijmeni),
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pacient_rodnecislo=VALUES(pacient_rodnecislo)
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"""
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vals = (
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r.get("id"),
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r.get("displayTitle"),
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to_mysql_dt(r.get("createdAt")),
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to_mysql_dt(r.get("updatedAt")),
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to_mysql_dt(r.get("doneAt")),
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to_mysql_dt(r.get("removedAt")),
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p.get("name"),
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p.get("surname"),
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p.get("identificationNumber"),
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)
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with conn.cursor() as cur:
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cur.execute(sql, vals)
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conn.commit()
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# ================================
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# 📡 FETCH FUNCTION
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# ================================
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def fetch_requests(headers, state, limit=None):
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"""Fetch requests for a given state; optional limit for DONE."""
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variables = {
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"clinicSlug": CLINIC_SLUG,
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"queueId": None,
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"queueAssignment": "ANY",
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"pageInfo": {"first": limit or BATCH_SIZE, "offset": 0},
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"locale": "cs",
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"state": state,
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}
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payload = {
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"operationName": "ClinicRequestGrid_ListPatientRequestsForClinic2",
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"query": GRAPHQL_QUERY,
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"variables": variables,
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}
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r = requests.post("https://api.medevio.cz/graphql", json=payload, headers=headers)
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r.raise_for_status()
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data = r.json().get("data", {}).get("requestsResponse", {})
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return data.get("patientRequests", []), data.get("count", 0)
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# ================================
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# 🧠 MAIN
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# ================================
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def main():
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token = read_token(TOKEN_PATH)
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headers = {
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"Authorization": f"Bearer {token}",
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"Content-Type": "application/json",
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"Accept": "application/json",
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}
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conn = pymysql.connect(**DB_CONFIG)
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print(f"\n=== Medevio požadavky sync @ {datetime.now():%Y-%m-%d %H:%M:%S} ===")
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# --- ACTIVE (all, paginated)
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print("\n📡 Fetching all ACTIVE requests...")
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offset = 0
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total_active = 0
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while True:
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requests_batch, count = fetch_requests(headers, "ACTIVE", BATCH_SIZE)
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if not requests_batch:
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break
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for r in requests_batch:
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upsert(conn, r)
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total_active += len(requests_batch)
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print(f" • {total_active} ACTIVE processed")
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if len(requests_batch) < BATCH_SIZE:
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break
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offset += BATCH_SIZE
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time.sleep(0.4)
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# --- DONE (only 200 latest)
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print("\n📡 Fetching last 200 DONE requests...")
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done_requests, done_count = fetch_requests(headers, "DONE", DONE_LIMIT)
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for r in done_requests:
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upsert(conn, r)
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print(f" ✅ DONE processed: {len(done_requests)} (of total {done_count})")
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conn.close()
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print("\n✅ Sync completed successfully.\n")
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if __name__ == "__main__":
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main()
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