Files
medevio/12 Readallinbatches/10 Readallpozadavkyinbatches.py
2026-01-16 15:34:12 +01:00

240 lines
5.9 KiB
Python
Raw Permalink Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import pymysql
import requests
from pathlib import Path
from datetime import datetime
from dateutil import parser
import time
import sys
# ================================
# UTF-8 SAFE OUTPUT (Windows friendly)
# ================================
try:
sys.stdout.reconfigure(encoding='utf-8')
sys.stderr.reconfigure(encoding='utf-8')
except AttributeError:
import io
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8')
def safe_print(text: str):
enc = sys.stdout.encoding or ""
if not enc.lower().startswith("utf"):
text = ''.join(ch for ch in text if ord(ch) < 65536)
try:
print(text)
except UnicodeEncodeError:
text = ''.join(ch for ch in text if ord(ch) < 128)
print(text)
# ================================
# 🔧 CONFIG
# ================================
TOKEN_PATH = Path("token.txt")
CLINIC_SLUG = "mudr-buzalkova"
BATCH_SIZE = 500
STATES = ["ACTIVE", "DONE"] # explicitně jinak API vrací jen ACTIVE
DB_CONFIG = {
"host": "192.168.1.76",
"port": 3307,
"user": "root",
"password": "Vlado9674+",
"database": "medevio",
"charset": "utf8mb4",
"cursorclass": pymysql.cursors.DictCursor,
}
GRAPHQL_QUERY = r"""
query ClinicRequestList2(
$clinicSlug: String!,
$queueId: String,
$queueAssignment: QueueAssignmentFilter!,
$state: PatientRequestState,
$pageInfo: PageInfo!,
$locale: Locale!
) {
requestsResponse: listPatientRequestsForClinic2(
clinicSlug: $clinicSlug,
queueId: $queueId,
queueAssignment: $queueAssignment,
state: $state,
pageInfo: $pageInfo
) {
count
patientRequests {
id
displayTitle(locale: $locale)
createdAt
updatedAt
doneAt
removedAt
extendedPatient {
name
surname
identificationNumber
}
lastMessage {
createdAt
}
}
}
}
"""
# ================================
# TOKEN
# ================================
def read_token(path: Path) -> str:
tok = path.read_text(encoding="utf-8").strip()
if tok.startswith("Bearer "):
return tok.split(" ", 1)[1]
return tok
# ================================
# DATETIME PARSER
# ================================
def to_mysql_dt(iso_str):
if not iso_str:
return None
try:
dt = parser.isoparse(iso_str)
if dt.tzinfo is None:
dt = dt.replace(tzinfo=datetime.now().astimezone().tzinfo)
return dt.astimezone().strftime("%Y-%m-%d %H:%M:%S")
except Exception:
return None
# ================================
# UPSERT
# ================================
def upsert(conn, r):
p = r.get("extendedPatient") or {}
api_updated = to_mysql_dt(r.get("updatedAt"))
msg_updated = to_mysql_dt((r.get("lastMessage") or {}).get("createdAt"))
final_updated = max(filter(None, [api_updated, msg_updated]), default=None)
sql = """
INSERT INTO pozadavky (
id, displayTitle, createdAt, updatedAt, doneAt, removedAt,
pacient_jmeno, pacient_prijmeni, pacient_rodnecislo
) VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s)
ON DUPLICATE KEY UPDATE
displayTitle=VALUES(displayTitle),
updatedAt=VALUES(updatedAt),
doneAt=VALUES(doneAt),
removedAt=VALUES(removedAt),
pacient_jmeno=VALUES(pacient_jmeno),
pacient_prijmeni=VALUES(pacient_prijmeni),
pacient_rodnecislo=VALUES(pacient_rodnecislo)
"""
vals = (
r.get("id"),
r.get("displayTitle"),
to_mysql_dt(r.get("createdAt")),
final_updated,
to_mysql_dt(r.get("doneAt")),
to_mysql_dt(r.get("removedAt")),
p.get("name"),
p.get("surname"),
p.get("identificationNumber"),
)
with conn.cursor() as cur:
cur.execute(sql, vals)
conn.commit()
# ================================
# FETCH PAGE (per state)
# ================================
def fetch_state(headers, state, offset):
variables = {
"clinicSlug": CLINIC_SLUG,
"queueId": None,
"queueAssignment": "ANY",
"state": state,
"pageInfo": {"first": BATCH_SIZE, "offset": offset},
"locale": "cs",
}
payload = {
"operationName": "ClinicRequestList2",
"query": GRAPHQL_QUERY,
"variables": variables,
}
r = requests.post("https://api.medevio.cz/graphql", json=payload, headers=headers)
r.raise_for_status()
data = r.json()["data"]["requestsResponse"]
return data.get("patientRequests", []), data.get("count", 0)
# ================================
# MAIN
# ================================
def main():
token = read_token(TOKEN_PATH)
headers = {
"Authorization": f"Bearer {token}",
"Content-Type": "application/json",
"Accept": "application/json",
}
conn = pymysql.connect(**DB_CONFIG)
safe_print(f"\n=== FULL Medevio READ-ALL sync @ {datetime.now():%Y-%m-%d %H:%M:%S} ===")
grand_total = 0
for state in STATES:
safe_print(f"\n🔁 STATE = {state}")
offset = 0
total = None
processed = 0
while True:
batch, count = fetch_state(headers, state, offset)
if total is None:
total = count
safe_print(f"📡 {state}: celkem {total}")
if not batch:
break
for r in batch:
upsert(conn, r)
processed += len(batch)
safe_print(f"{processed}/{total}")
offset += BATCH_SIZE
if offset >= count:
break
time.sleep(0.4)
grand_total += processed
conn.close()
safe_print(f"\n✅ HOTOVO celkem zpracováno {grand_total} požadavků\n")
# ================================
if __name__ == "__main__":
main()