DataLab/make_one_year_csv.R at main · HUD-Data-Lab/DataLab · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details at
# <https://www.gnu.org/licenses/>.

#source("datalab_functions.R")
source("https://raw.githubusercontent.com/HUD-Data-Lab/DataLab/main/datalab_functions.R")
#source("DataLab_Lists.R")
source("https://raw.githubusercontent.com/HUD-Data-Lab/DataLab/main/DataLab_Lists.R")

file_source <- file.choose()

for (file in names(hmis_csvs_fy24)){

  data <- read_csv(utils::unzip(file_source, paste0(file, ".csv")),
                   col_types = get(file, hmis_csvs_fy24))

  if (exists(file)) {
    data <- get(file) %>%
      full_join(data, by = intersect(colnames(get(file)),
                                     colnames(data)))
  }

  assign(file, data)

  file.remove(paste0(file, ".csv"))
}

source("https://raw.githubusercontent.com/HUD-Data-Lab/DataLab/main/DataLab_hc_variables.R")

report_start_date <- "2021-10-01"
rearranged_hmis_csvs_fy24 <- c("Enrollment", "Project", "Exit", "Export",
                               "Organization", "User",
                               "Funder", "ProjectCoC", "Inventory", "Affiliation",
                               "HMISParticipation", "CEParticipation", "Client",
                               "IncomeBenefits", "HealthAndDV",
                               "EmploymentEducation", "Disabilities", "Services",
                               "CurrentLivingSituation", "Assessment",
                               "AssessmentQuestions", "AssessmentResults",
                               "Event", "YouthEducationStatus")

# remove deleted records exportID colummns before proceeding with processing
for (file in rearranged_hmis_csvs_fy24){

  data <- get(file) %>%
    distinct()

  print(paste0(file, ": ", nrow(data)))

  new_ExportID <- data$ExportID[1]
  col_order <- colnames(data)

  data <- data %>%
    select(-ExportID) %>%
    distinct() %>%
    mutate(ExportID = new_ExportID) %>%
    select(all_of(col_order))

  if ("DateDeleted" %in% colnames(get(file))) {
    data <- data %>%
      filter(is.na(DateDeleted) |
               DateDeleted > report_end_date)
  }

  if (file == "Enrollment") {
    data <- data %>%
      mutate(MoveInDate = case_when(
        MoveInDate <= report_end_date &
          MoveInDate >= EntryDate ~ MoveInDate)) %>%
      filter(EntryDate <= report_end_date &
               EnrollmentID %nin% Exit$EnrollmentID[Exit$ExitDate < report_start_date])
  }

  if (file == "Exit") {
    data <- data %>%
      filter(ExitDate >= report_start_date &
               ExitDate <= report_end_date)
  }

  if ("EnrollmentID" %in% colnames(get(file))) {
    data <- data %>%
      filter(EnrollmentID %in% Enrollment$EnrollmentID)
  }

  if ("ProjectID" %in% colnames(get(file))) {
    data <- data %>%
      filter(ProjectID %in% Enrollment$ProjectID)
  }

  if ("PersonalID" %in% colnames(get(file))) {
    data <- data %>%
      filter(PersonalID %in% Enrollment$PersonalID)
  }

  if (file == "Organization") {
    data <- data %>%
      filter(OrganizationID %in% Project$OrganizationID)
  }

  if (file == "Export") {
    data$SoftwareName <- "DataLab"
    data$SoftwareVersion <- "1.0"
  }

  print(paste0(file, ": ", nrow(data)))

  assign(file, data)

}


library(archive)

folder_name <- paste("Test Kit", format(Sys.Date(), "%m.%d.%y"))

if (!dir.exists(folder_name)) {
  dir.create(folder_name)
}

if (!dir.exists("created_files")) {
  dir.create("created_files")
}

if (!dir.exists("created_files_2")) {
  dir.create("created_files_2")
}

if (!dir.exists(paste0(folder_name, "/HMIS CSVs"))) {
  dir.create(paste0(folder_name, "/HMIS CSVs"))
}

write_csvs_for(Project$ProjectID, zip_title = "Mini Zip Set",
               write_to <- paste0(folder_name, "/HMIS CSVs"))