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data_parser.ts
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data_parser.ts
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import {
get_status_ranking,
get_carrier_status,
get_worse_carrier_status,
} from "./utilities/carrier_status"
import { Error_Log } from "./error_log"
import * as d3 from "d3"
import CONFIG from "./config"
import parseToStorylineData from "./utilities/storylineParser"
const error_prio: number = 1.4
let error_log = new Error_Log()
/**
* @Tom in call_function: (...., parameters: any) werden nur noch die notwendigen Parameter mitgegeben
* Notwendig heißt: Alle Paras die für den api-call benötigt werden
*/
const data_parser: { [key: string]: any } = {
/**
* Akkumulates all Mibi-data from the same person, pathogen and timestamp
*
* Name der geparsten Daten
* welche raw-data benoetigt werden
* die parse-funktion selbst implementieren; default (z.B: on Error etc)
* ein leeres Array ([]) zurueck geben
*/
generate_mibi_investigations: {
needed_raw_data: ["Patient_Labordaten_Ps"],
call_function: (input_data: any, parameters: any) => {
let { Patient_Labordaten_Ps } = input_data
let { patientList, parameter_pathogen, pathogen } = parameters
if (patientList === undefined) {
patientList = []
}
let min_ts: any = undefined
let max_ts: any = undefined
let investigations: any[] = []
let status_changes: any = {}
// Selber Patient, selbes Datum und selber Keim gehoeren zusammen
if (Patient_Labordaten_Ps.error === undefined) {
// TODO: SMICS-0.8
// Patientenliste wegen Nth-Degree rauslesen
let new_patient_list: any[] = []
let filtered_by_parameter_pathogen = Patient_Labordaten_Ps.data.filter(
(d: any) => d.KeimID === pathogen
)
Patient_Labordaten_Ps.data = filtered_by_parameter_pathogen
Patient_Labordaten_Ps.data.forEach((invest: any) => {
invest.timestamp = new Date(invest.Eingangsdatum).getTime()
if (!new_patient_list.includes(invest.PatientID)) {
new_patient_list.push(invest.PatientID)
}
})
patientList = new_patient_list
Patient_Labordaten_Ps.data.sort(
(a: any, b: any) => a.timestamp - b.timestamp
)
// console.log(Patient_Labordaten_Ps)
Patient_Labordaten_Ps.data.forEach((investigation_data: any) => {
// let timestamp = new Date(investigation_data.Eingangsdatum).getTime()
let timestamp = investigation_data.timestamp
if ((min_ts === max_ts) === undefined) {
min_ts = max_ts = timestamp
} else {
if (timestamp < min_ts) {
min_ts = timestamp
}
if (timestamp > max_ts) {
max_ts = timestamp
}
}
let investigation_hash =
investigation_data.Eingangsdatum +
investigation_data.PatientID +
investigation_data.KeimID
let index = investigations.findIndex(
(d) => d.investigation_hash === investigation_hash
)
let investigation_data_copy = JSON.parse(
JSON.stringify(investigation_data)
)
// console.log(`PatientID: ${investigation_data.PatientID}`)
if (index < 0) {
investigation_data_copy.count = 1
investigations.push({
investigation_hash,
data: [investigation_data_copy],
timestamp: timestamp,
patient_id: investigation_data.PatientID,
pathogen_id: investigation_data.KeimID,
// negative, unknown, infected, diseased
result: get_carrier_status(
investigation_data.Befund,
investigation_data.Screening,
// "unknown"
// TODO: SMICS-0.8
"negative"
),
})
// console.log("index < 0")
} else {
let index_unique = investigations[index].data.findIndex(
(d: any) => {
let all_similar = true
for (let propname in investigation_data_copy) {
if (d[propname] != investigation_data_copy[propname]) {
all_similar = false
}
}
return all_similar
}
)
if (index_unique < 0) {
investigation_data_copy.count = 1
investigations[index].data.push(investigation_data_copy)
} else {
investigations[index].data[index_unique].count++
}
investigations[index].result = get_carrier_status(
investigation_data.Befund,
investigation_data.Screening,
investigations[index].result
)
// console.log("index > 0")
}
})
// just to track current patient status for pathogen
let last_status: any = {}
patientList.forEach((pID: any) => {
status_changes[pID] = {}
last_status[pID] = {}
/**
* Für jeden Patienten pro Keim eine Liste an Status-Veränderungen erzeugen:
*
* - Alle Investigations durchiterieren
* - Falls noch kein Eintrag für diesen Keim, dann einen anlegen
* (empty Array + unknown falls im Krankenhaus bis dahin)
* - Schauen, ob Status-Veränderung
* - Falls Status-Veränderung -> diese Statusveränderung auf das Array pushen
*
* ! JEDE ÄNDERUNG, nicht nur Verschlimmerung !
*/
let pat_investigations: any = investigations.filter(
(d) => d.patient_id === pID
)
pat_investigations.forEach((invest: any) => {
// abchecken, ob neuer status "schlimmer" ist
// -> dann status-wechsel
// kann ich generisch implementieren!
let path_id: any = invest.pathogen_id
let old_status: any = last_status[pID][path_id]
let new_status: any = invest.result
if (old_status === undefined) {
status_changes[pID][path_id] = []
}
if (old_status !== new_status) {
status_changes[pID][path_id].push({
new_status,
timestamp: invest.timestamp,
})
last_status[pID][path_id] = new_status
}
})
})
} else {
error_log.addError(
"Patient_Labordaten_Ps",
parameters,
error_prio,
Patient_Labordaten_Ps.error
)
}
return {
timestamp: new Date().getTime(),
min_ts,
max_ts,
patientList,
investigations,
status_changes,
return_log: error_log.clearAndReturnLog(),
}
},
},
// TODO: SMICS-0.8
generate_mibi_investigations_TEMP: {
needed_raw_data: ["Contact_NthDegree_TTKP_Degree"],
call_function: (input_data: any, parameters: any) => {
let { Contact_NthDegree_TTKP_Degree } = input_data
let Patient_Labordaten_Ps: any
if (Contact_NthDegree_TTKP_Degree.error === undefined) {
let { Labordaten } = Contact_NthDegree_TTKP_Degree.data
Labordaten = Labordaten.filter(
(d: any) => d.KeimID === parameters.pathogen
)
Patient_Labordaten_Ps = {
error: undefined,
data: Labordaten,
}
} else {
Patient_Labordaten_Ps = {
error: true,
data: [],
}
error_log.addError(
"Contact_NthDegree_TTKP_Degree",
parameters,
error_prio,
Contact_NthDegree_TTKP_Degree.error
)
}
let { patientList } = parameters
if (patientList === undefined) {
patientList = []
}
let min_ts: any = undefined
let max_ts: any = undefined
let investigations: any[] = []
// Selber Patient, selbes Datum und selber Keim gehoeren zusammen
if (Patient_Labordaten_Ps.error === undefined) {
// TODO: SMICS-0.8
// Patientenliste wegen Nth-Degree rauslesen
let new_patient_list: any[] = []
Patient_Labordaten_Ps.data.forEach((invest: any) => {
invest.timestamp = new Date(invest.Eingangsdatum).getTime()
if (!new_patient_list.includes(invest.PatientID)) {
new_patient_list.push(invest.PatientID)
}
})
patientList = new_patient_list
Patient_Labordaten_Ps.data.sort((a: any, b: any) => a - b)
// console.log(Patient_Labordaten_Ps)
Patient_Labordaten_Ps.data.forEach((investigation_data: any) => {
// let timestamp = new Date(investigation_data.Eingangsdatum).getTime()
let timestamp = investigation_data.timestamp
if ((min_ts === max_ts) === undefined) {
min_ts = max_ts = timestamp
} else {
if (timestamp < min_ts) {
min_ts = timestamp
}
if (timestamp > max_ts) {
max_ts = timestamp
}
}
let investigation_hash =
investigation_data.Eingangsdatum +
investigation_data.PatientID +
investigation_data.KeimID
let index = investigations.findIndex(
(d) => d.investigation_hash === investigation_hash
)
let investigation_data_copy = JSON.parse(
JSON.stringify(investigation_data)
)
if (index < 0) {
investigations.push({
investigation_hash,
data: [investigation_data_copy],
timestamp: timestamp,
patient_id: investigation_data.PatientID,
pathogen_id: investigation_data.KeimID,
// negative, unknown, infected, diseased
result: get_carrier_status(
investigation_data.Befund,
investigation_data.Screening,
// "unknown"
// TODO: SMICS-0.8
"negative"
),
})
} else {
investigations[index].data.push(investigation_data_copy)
investigations[index].result = get_carrier_status(
investigation_data.Befund,
investigation_data.Screening,
investigations[index].result
)
}
})
} else {
error_log.addError(
"Patient_Labordaten_Ps",
parameters,
error_prio,
Patient_Labordaten_Ps.error
)
}
let status_changes: any = {}
// just to track current patient status for pathogen
let last_status: any = {}
patientList.forEach((pID: any) => {
status_changes[pID] = {}
last_status[pID] = {}
/**
* Für jeden Patienten pro Keim eine Liste an Status-Veränderungen erzeugen:
*
* - Alle Investigations durchiterieren
* - Falls noch kein Eintrag für diesen Keim, dann einen anlegen
* (empty Array + unknown falls im Krankenhaus bis dahin)
* - Schauen, ob Status-Veränderung
* - Falls Status-Veränderung -> diese Statusveränderung auf das Array pushen
*
* ! JEDE ÄNDERUNG, nicht nur Verschlimmerung !
*/
let pat_investigations: any = investigations.filter(
(d) => d.patient_id === pID
)
pat_investigations.forEach((invest: any) => {
// abchecken, ob neuer status "schlimmer" ist
// -> dann status-wechsel
// kann ich generisch implementieren!
let path_id: any = invest.pathogen_id
let old_status: any = last_status[pID][path_id]
let new_status: any = invest.result
if (old_status === undefined) {
status_changes[pID][path_id] = []
}
if (old_status !== new_status) {
status_changes[pID][path_id].push({
new_status,
timestamp: invest.timestamp,
})
last_status[pID][path_id] = new_status
}
})
})
return {
timestamp: new Date().getTime(),
min_ts,
max_ts,
patientList,
investigations,
status_changes,
return_log: error_log.clearAndReturnLog(),
}
},
},
generate_storyline_data: {
needed_raw_data: ["Patient_Bewegung_Ps", "Patient_Labordaten_Ps"],
call_function: (input_data: any, parameters: any) => {
let { Patient_Bewegung_Ps, Patient_Labordaten_Ps } = input_data
let { pathogen } = parameters
console.log(`
generate storyline data
`)
console.log(JSON.stringify(parameters))
let min_ts: any = undefined
let max_ts: any = undefined
let patient_list: any = []
let station_list: any = []
let graph_data: any = {}
// let patient_paths_data: any = []
let station_paths_data: any = []
// let backtracking: any = {}
// let forwardtracking: any = {}
let parsed_storyline_data: any = {
graph: {
nodes: [],
links: [],
},
pathogen_data: {
keimID: "",
keim_k: "",
keim_l: "",
erstePositiveBefunde: [],
letzteNegativeBefunde: [],
},
}
if (Patient_Bewegung_Ps.error === undefined) {
if (Patient_Labordaten_Ps.error === undefined) {
Patient_Labordaten_Ps.data = Patient_Labordaten_Ps.data.filter(
(labor: any) => labor.KeimID === pathogen
)
Patient_Labordaten_Ps.data.forEach((md: any) => {
// md.PatientID = md.PatientID
// md.KeimID = md.KeimID
// md.Eingangsdatum = md.Eingangsdatum
// !warum wurde das auf 0 gesetzt?
// md.Screening = 0
md.Befund = md.Befund ? 1 : 0
md.timestamp = new Date(md.Eingangsdatum).getTime()
// TODO: Nur Hotfix (invertieren des Screening-Flags)
// md.Screening = md.Screening == 1 ? 0 : 1
if (!patient_list.includes(md.PatientID)) {
patient_list.push(md.PatientID)
}
let timestamp = md.timestamp
if ((min_ts === max_ts) === undefined) {
min_ts = max_ts = timestamp
} else {
if (timestamp < min_ts) {
min_ts = timestamp
}
if (timestamp > max_ts) {
max_ts = timestamp
}
}
})
Patient_Bewegung_Ps.data.forEach((md: any) => {
// md.PatientID = md.PatientID
// md.Beginn = md.Beginn
// md.Ende = md.Ende
// md.StationID = md.StationID
// md.BewegungstypID = md.BewegungstypID
md.ts_Beginn = new Date(md.Beginn).getTime()
md.ts_Ende = new Date(md.Ende).getTime()
md.eventType = "Bewegung"
md.timestamp = md.ts_Beginn
md.patientID = md.PatientID
// md.stationID = md.Station
if (!patient_list.includes(md.PatientID)) {
patient_list.push(md.PatientID)
}
if (!station_list.includes(md.Station)) {
if (md.BewegungstypID !== 4) {
station_list.push(md.Station)
}
}
let begin = new Date(md.Beginn).getTime()
let end = new Date(md.Ende).getTime()
if (min_ts === undefined || begin < min_ts) {
min_ts = begin
}
if (max_ts === undefined || end > max_ts) {
max_ts = end
}
})
// TODO: graph erzeugen
console.log(`[STORYLINE]: Start generating the graph`)
parsed_storyline_data = parseToStorylineData(
// JSON.parse(JSON.stringify(Patient_Labordaten_Ps.data)),
// JSON.parse(JSON.stringify(Patient_Bewegung_Ps.data)),
Patient_Labordaten_Ps.data,
Patient_Bewegung_Ps.data,
patient_list,
station_list
)
// TODO: patient_paths und station_paths erzeugen -> module data
// TODO: backward und forward tracking -> bleibt hier
} else {
error_log.addError(
"Patient_Labordaten_Ps",
parameters,
error_prio,
Patient_Labordaten_Ps.error
)
}
} else {
error_log.addError(
"Patient_Bewegung_Ps",
parameters,
error_prio,
Patient_Bewegung_Ps.error
)
}
console.log(`
finished storyline data
`)
return {
timestamp: new Date().getTime(),
patient_list,
station_list,
// backtracking,
// forwardtracking,
// patient_paths_data,
// station_paths_data,
graph_data: parsed_storyline_data.graph,
pathogen_data: parsed_storyline_data.pathogen_data,
patients_infection_data: parsed_storyline_data.patients,
// TODO add from parsed_storyline_data what is necessary
min_ts,
max_ts,
// parsed_storyline_data,
return_log: error_log.clearAndReturnLog(),
}
},
},
generate_movement_rects: {
needed_raw_data: ["Patient_Bewegung_Ps"],
call_function: (input_data: any, parameters: any) => {
let { Patient_Bewegung_Ps } = input_data
let { patientList } = parameters
let min_ts: any = undefined
let max_ts: any = undefined
let new_patient_list: any[] = []
let movement_rects: object[] = []
let movement_dots: object[] = []
let allStations: any[] = []
let unknown_rects: any = {}
if (Patient_Bewegung_Ps.error === undefined) {
Patient_Bewegung_Ps.data.forEach((mov: any) => {
if (!new_patient_list.includes(mov.PatientID)) {
new_patient_list.push(mov.PatientID)
}
})
let movement_rect_top_position: any = {}
// generate visualization for movement data (horizontal rectangles)
// only if there is no error in the data
Patient_Bewegung_Ps.data.forEach((movement: any) => {
if (!allStations.includes(movement.Station)) {
if (movement.BewegungstypID !== 4) {
allStations.push(movement.Station)
}
}
let begin = new Date(movement.Beginn).getTime()
let end = new Date(movement.Ende).getTime()
if (min_ts === undefined || begin < min_ts) {
min_ts = begin
}
if (max_ts === undefined || end > max_ts) {
max_ts = end
}
let vis_struct: any = {
begin: begin,
end: end,
patient_id: movement.PatientID,
station_id: movement.Station,
station_name: movement.Station,
movement_type: movement.BewegungstypID,
}
if (movement.BewegungstypID === 4) {
movement_dots.push(vis_struct)
} else {
if (movement_rect_top_position[movement.PatientID]) {
vis_struct.top = true
movement_rect_top_position[movement.PatientID] = false
} else {
vis_struct.top = false
movement_rect_top_position[movement.PatientID] = true
}
movement_rects.push(vis_struct)
}
})
} else {
error_log.addError(
"Patient_Bewegung_Ps",
parameters,
error_prio,
Patient_Bewegung_Ps.error
)
}
return {
timestamp: new Date().getTime(),
min_ts,
max_ts,
patientList: new_patient_list,
movement_rects,
movement_dots,
allStations,
unknown_rects,
return_log: error_log.clearAndReturnLog(),
}
},
},
generate_contact_graph: {
// needed_raw_data: ["Contact_NthDegree_TTKP_Degree"],
needed_raw_data: ["Patient_Bewegung_Ps", "Patient_Labordaten_Ps"],
call_function: async (input_data: any, parameters: any) => {
// let { Contact_NthDegree_TTKP_Degree } = input_data
let { Patient_Bewegung_Ps, Patient_Labordaten_Ps } = input_data
let timespan: any[] = []
let min_ts: any = undefined
let max_ts: any = undefined
let graph_data: any = {}
let patient_list: string[] = []
let station_list: string[] = []
// if (Contact_NthDegree_TTKP_Degree.error === undefined) {
// let { Labordaten, Patienten_Bewegungen } =
// Contact_NthDegree_TTKP_Degree.data
if (Patient_Bewegung_Ps.error === undefined) {
if (Patient_Labordaten_Ps.error === undefined) {
// let Patient_Labordaten_Ps: any = {}
// Patient_Labordaten_Ps.data = Labordaten
// let Patient_Bewegung_Ps: any = {}
// Patient_Bewegung_Ps.data = Patienten_Bewegungen
//#region generate_mibi_investigations
let input_data_generate_mibi_investigation: any = {}
input_data_generate_mibi_investigation.Patient_Labordaten_Ps =
Patient_Labordaten_Ps
/* compute the mibi-data */
let generate_mibi_investigations =
data_parser.generate_mibi_investigations.call_function(
input_data_generate_mibi_investigation,
parameters
)
/* log errors from mibi procedure. However we are still trying to work on the data, even if it has errors */
if (generate_mibi_investigations.return_log > 0) {
error_log.addError(
"generate_mibi_investigations",
parameters,
2.8,
`Error: an error occured during data_parser[generate_mibi_investigations] procedure. Data could be invalid or incomplete.`
)
}
//#endregion generate_mibi_investigations
//#region generate contact graph
// ! graph_data
/* create contact graph for each property in the array */
let location_properties = [
// { name: "station", prop_name: "StationID" },
{ name: "station", prop_name: "Station" },
{ name: "room", prop_name: "Raum" },
]
let { status_changes } = generate_mibi_investigations
// ! patient_list, station_list, min_ts, max_ts
Patient_Bewegung_Ps.data.forEach((mov: any) => {
mov.ts_Beginn = new Date(mov.Beginn).getTime()
mov.ts_Ende = new Date(mov.Ende).getTime()
if (!patient_list.includes(mov.PatientID)) {
patient_list.push(mov.PatientID)
}
if (!station_list.includes(mov.Station)) {
if (mov.BewegungstypID !== 4) {
station_list.push(mov.Station)
}
}
if (status_changes[mov.PatientID] === undefined) {
status_changes[mov.PatientID] = {}
}
let beginn_ts = new Date(mov.Beginn).getTime()
let ende_ts = new Date(mov.Ende).getTime()
mov.begin = beginn_ts
mov.end = ende_ts
if (min_ts === undefined || beginn_ts < min_ts) {
min_ts = beginn_ts
}
if (max_ts === undefined || ende_ts > max_ts) {
// !folgende if Abfrage, da auf der SQL Datenbank das Jahr 9996 bei manchen Zeitangaben ist...
if (
!(
CONFIG.datasource === "hmhdnov18_sql" &&
ende_ts >= 3283839320000
)
) {
max_ts = ende_ts
}
}
})
Patient_Labordaten_Ps.data.forEach((labor: any) => {
if (!patient_list.includes(labor.PatientID)) {
patient_list.push(labor.PatientID)
}
let timestamp = labor.timestamp
if (min_ts === undefined || timestamp < min_ts) {
min_ts = timestamp
}
if (max_ts === undefined || timestamp > max_ts) {
max_ts = timestamp
}
})
if (min_ts && max_ts) {
timespan = [min_ts, max_ts]
}
const generate_contact_graph = async (location_property: {
name: string
prop_name: string
}) => {
// const generate_contact_graph = async (location_property: any) => {
let nodes: object[] = []
let links: {
source: string
target: string
patient_a: string
patient_b: string
contacts: any[]
}[] = []
//#region generate nodes
/**
* Each patient is a node and includes the last/worst infection status for each pathogenID
* the patient was tested for in the past
*/
patient_list.forEach((patID: string) => {
let all_pathogen_status: any = {}
let all_status_changes: any = [
{
status: "negative",
status_timestmap: 0,
},
]
/* get all pathogens the patient was tested for */
let all_tested_pathogens = Object.getOwnPropertyNames(
status_changes[patID]
)
/* get all movements in the hospital from the patient */
let all_movements: any = Patient_Bewegung_Ps.data.filter(
(movement: any) => movement.PatientID === patID
)
let all_visited_stations: any = []
for (let mov of all_movements) {
if (mov.BewegungstypID !== 4) {
all_visited_stations.push({
station_id: mov.Station,
patient_id: mov.PatientID,
ts_Beginn: mov.ts_Beginn,
ts_Ende: mov.ts_Ende,
})
}
}
all_tested_pathogens.forEach((pathogen_ID: string) => {
// let status: string = "unknown" --> status = "negative" since SmICS 0.8 ?
let status: string = "negative"
let status_timestamp = undefined
let pathogen_status_changes_of_patient: object[] =
status_changes[patID][pathogen_ID]
pathogen_status_changes_of_patient.forEach(
(status_change: any) => {
let { new_status, timestamp } = status_change
let worse_status: string = get_worse_carrier_status(
status,
new_status
)
if (worse_status !== status) {
// hier: status change
status = worse_status
status_timestamp = timestamp
all_status_changes.push({
status,
status_timestamp,
})
}
}
)
all_pathogen_status[pathogen_ID] = { status, status_timestamp }
})
nodes.push({
id: patID,
patient_id: patID,
all_pathogen_status,
all_status_changes,
all_movements,
all_visited_stations,
})
})
//#endregion generate nodes
//#region generate links
/**
* - copy all movements
* - sort all movements
* - initialize buckets
* - iterate all movements:
* - for every movement, save index i to the current patient
* - --> = last_movement
* - iterate all movements:
* - delete patient from old bucket
* - "end" current contacts
* - push ended contact on contacts_of_patient
* - push patient into new bucket
* - "start" new contact
*/
let movements = Patient_Bewegung_Ps.data.filter(
(mov: any) => mov.BewegungstypID !== 4
)
movements.forEach(
(mov: any) => (mov.timestamp = new Date(mov.Beginn).getTime())
)
movements.sort((a: any, b: any) => a.timestamp - b.timestamp)
let buckets: any = {
home: [],
tmp_home: [],
}
let current_contacts: { [key: string]: object[] } = {}
let patient_is_on_station: { [key: string]: string } = {}
let last_movement_index: { [key: string]: number } = {}
/* Initialize the datastructures for each patient */
patient_list.forEach((patID: string) => {
buckets.home.push(patID)
patient_is_on_station[patID] = "home"
current_contacts[patID] = []
})
movements.forEach((mov: any, i: number) => {
last_movement_index[mov.PatientID] = i
})
movements.forEach((mov: any, i: number) => {
let { BewegungstypID, PatientID, timestamp } = mov
/* generate the contact graph depending on the location
* --> look at 'location_properties' to see all locations this function generates a contact graph for
*/
let location: string = mov[location_property.prop_name]
let new_location: string = location
// we reached the last movement of the patient
if (last_movement_index[PatientID] === i) {
new_location = "home"
} else if (BewegungstypID === 2 || BewegungstypID === 6) {
new_location = "tmp_home"
}
let old_location: string = patient_is_on_station[PatientID]
// nothing need to be done if old_location === new_location
if (old_location !== new_location) {
/**
* 1. remove patient from old bucket -> patient leaves the location
* 2. if old_location !== home or !== tmp_home
* --> end current_contacts for the patient
* --> push all contacts of this patient to 'links'
* 3. put patient in the new bucket -> the new current location of the patient
* 4. if new_location !== home or !== tmp_home
* --> start the new current_contacts for the patient
*/
// 1.
let patients_on_old_location: string[] = buckets[
old_location
].filter((patID: string) => patID !== PatientID)
// delete the bucket if it is empty
if (
patients_on_old_location.length <= 0 &&
old_location !== "home" &&
old_location !== "tmp_home"
) {
delete buckets[old_location]
} else {
buckets[old_location] = patients_on_old_location
}
// 2.
if (old_location !== "home" && old_location !== "tmp_home") {
current_contacts[PatientID].forEach((contact: any) => {
let copy_contact: any = JSON.parse(JSON.stringify(contact))
copy_contact.end = timestamp // the starttime of the movement is the endtime for all old movements
let { patient_a, patient_b } = copy_contact
let index = links.findIndex((l: any) => {
return (
(l.patient_a === patient_a &&
l.patient_b === patient_b) ||
(l.patient_a === patient_b && l.patient_b === patient_a)
)
})
if (index === -1) {
/* no link between those patients --> create one */
links.push({
source: patient_a,
target: patient_b,
patient_a,
patient_b,
contacts: [],
})
index = links.length - 1
}
links[index].contacts.push(copy_contact)
})
current_contacts[PatientID] = []
patients_on_old_location.forEach(
(old_contact_patID: string) => {
current_contacts[old_contact_patID] = current_contacts[
old_contact_patID
].filter((cont: any) => cont.patient_b !== PatientID)
}
)
}
// 3. put patient in the bucket for the new location
if (buckets[new_location] === undefined) {
buckets[new_location] = []
}
buckets[new_location].push(PatientID)
patient_is_on_station[PatientID] = new_location
// 4. start new current_contacts for the patient
if (new_location !== "home" && new_location !== "tmp_home") {
let new_contact_patients: string[] = buckets[
new_location
].filter((patID: string) => patID !== PatientID)
new_contact_patients.forEach((new_contact_patID: string) => {
current_contacts[PatientID].push({
patient_a: PatientID,
patient_b: new_contact_patID,
station_id: new_location,
begin: timestamp,
end: undefined,
})
current_contacts[new_contact_patID].push({
patient_a: new_contact_patID,
patient_b: PatientID,
station_id: new_location,
begin: timestamp,
end: undefined,
})