252 lines
4.8 KiB
Python
252 lines
4.8 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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import requests
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from pathlib import Path
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TOKEN_PATH = Path("token.txt")
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GRAPHQL_URL = "https://api.medevio.cz/graphql"
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CLINIC_SLUG = "mudr-buzalkova"
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PATIENT_ID = "5a0a9ff0-bbe8-4fc7-a27d-b7b475ee2189"
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QUERY = """
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query ClinicPatientDetailModal_GetData(
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$clinicSlug: String!,
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$patientId: String!,
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$patientUuid: UUID!,
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$challengesStatus: ECRFChallengeStatus!,
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$locale: Locale!
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) {
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clinic: getClinic(clinicSlug: $clinicSlug) {
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id
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features
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sslSUKLCertificateId
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type
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ais
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slug
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...ClinicWithTypeAndFeatures_Clinic
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...PatientInfo_Clinic
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__typename
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}
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patient: getPatientForClinic(clinicSlug: $clinicSlug, patientId: $patientId) {
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...ClinicPatientDetailModal_Patient
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__typename
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}
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challenges: listPatientChallenges2(
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clinicSlug: $clinicSlug
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patientId: $patientId
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status: $challengesStatus
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) {
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...ChallengeTableList_EcrfChallenge
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__typename
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}
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patientRequestsResponse: filterPatientRequestsForClinic(
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clinicSlug: $clinicSlug
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filter: {patientId: $patientUuid}
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pageInfo: {first: 1, offset: 0}
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) {
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count
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items { id __typename }
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__typename
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}
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treatmentPlanPatients: listTreatmentPlanPatients(
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clinicSlug: $clinicSlug
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patientId: $patientUuid
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) {
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...ClinicPlanPatientList_PlanPatient
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__typename
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}
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premiumPlans: listClinicPremiumPlans(clinicSlug: $clinicSlug) {
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id
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__typename
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}
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mergeSuggestions: findMergeSuggestions(
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clinicSlug: $clinicSlug
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input: {existingPatientId: $patientUuid}
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) {
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...MergeSuggestionAlert_MergeSuggestionResult
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__typename
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}
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insuranceCards: getPatientDocuments(
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patientId: $patientUuid
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type: InsuranceCard
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) {
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...PatientInfo_InsuranceCard
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__typename
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}
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}
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fragment ClinicWithTypeAndFeatures_Clinic on Clinic {
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id
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type
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features
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__typename
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}
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fragment PatientInfo_Clinic on Clinic {
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country
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id
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slug
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ais
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...ClinicWithTypeAndFeatures_Clinic
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__typename
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}
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fragment ClinicPatientDetailModal_Patient on ExtendedPatient {
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id
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isInClinic
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kind
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name
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isUnknownPatient
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sex
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surname
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identificationNumber
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editableByDoctor
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type
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key
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user { id name surname __typename }
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...ClinicPatientDetail_Patient
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...PatientInfo_AccountPatient
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...ClinicPatientInfo_Patient
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__typename
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}
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fragment ClinicPatientDetail_Patient on ExtendedPatient {
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name
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surname
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email
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id
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identificationNumber
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isInClinic
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key
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phone
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sex
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type
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dob
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user { id __typename }
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isUnknownPatient
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hasMobileApp
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__typename
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}
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fragment PatientInfo_AccountPatient on ExtendedPatient {
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id
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createdAt
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key
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user {
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registrationCompletedTime
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deactivatedTime
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__typename
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}
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__typename
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}
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fragment ClinicPatientInfo_Patient on ExtendedPatient {
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anamnesisShared
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anamnesisStatusForClinic { updatedAt __typename }
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clinics { id name slug __typename }
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id
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isInClinic
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dob
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city
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familyMembers: family { __typename }
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houseNumber
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identificationNumber
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insuranceCompanyObject { id code name shortName __typename }
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kind
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name
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note
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owner { name surname __typename }
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key
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status
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street
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surname
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user { id email name phone surname __typename }
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userRelationship
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premiumPlanPatient { id __typename }
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sex
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tags(onlyImportant: false) { id name color icon __typename }
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type
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isUnknownPatient
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hasMobileApp
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__typename
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}
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fragment ChallengeTableList_EcrfChallenge on ECRFChallenge {
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id
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createdAt
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sentAt
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issuedToPatient {
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id
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identificationNumber
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name
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surname
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__typename
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}
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userECRF(locale: $locale) { id name __typename }
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patientRequestId
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status
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__typename
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}
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fragment MergeSuggestionAlert_MergeSuggestionResult on MergeSuggestionResult {
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extendedPatient { id __typename }
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matchResult
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__typename
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}
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fragment ClinicPlanPatientList_PlanPatient on TreatmentPlanPatient {
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id
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createdAt
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listPatient { id identificationNumber name key status surname __typename }
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treatmentPlan { id slug name __typename }
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__typename
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}
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fragment PatientInfo_InsuranceCard on PatientDocument {
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id
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contentType
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url
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downloadUrl
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__typename
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}
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"""
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def main():
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token = TOKEN_PATH.read_text().strip()
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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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variables = {
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"clinicSlug": CLINIC_SLUG,
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"patientId": PATIENT_ID,
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"patientUuid": PATIENT_ID,
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"challengesStatus": "SENT",
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"locale": "cs",
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}
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print("⏳ Fetching patient detail…")
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r = requests.post(
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GRAPHQL_URL,
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json={"query": QUERY, "variables": variables},
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headers=headers,
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timeout=30
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)
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r.raise_for_status()
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data = r.json()
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print("\n📌 RAW DETAIL JSON:\n")
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print(json.dumps(data, indent=2, ensure_ascii=False))
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if __name__ == "__main__":
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main()
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