An R package to analyze the parliamentary records of the 19th legislative period of the Bundestag, the German parliament.
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  1. # for usage see the example at the end
  2. #' Parse xml records
  3. #'
  4. #' Creates a list of tibbles containing relevant information from all records
  5. #' stored in the input directory.
  6. #'
  7. #' @param path character
  8. #'
  9. #' @export
  10. read_all <- function(path="records/") {
  11. cat("Reading all records from", path, "\n")
  12. available_protocols <- list.files(path)
  13. res <- pblapply(available_protocols, read_one, path=path)
  14. lapply(res, `[[`, "redner") %>%
  15. bind_rows() %>%
  16. distinct() ->
  17. redner
  18. lapply(res, `[[`, "reden") %>%
  19. bind_rows() %>%
  20. distinct() ->
  21. reden
  22. lapply(res, `[[`, "talks") %>%
  23. bind_rows() %>%
  24. distinct() ->
  25. talks
  26. list(redner = redner, reden = reden, talks = talks)
  27. }
  28. # this reads all currently parseable data from one xml
  29. read_one <- function(name, path) {
  30. x <- tryCatch(read_xml(paste0(path, name)),
  31. error = function(c) NULL)
  32. if (is.null(x)) return(NULL)
  33. cs <- xml_children(x)
  34. verlauf <- xml_find_first(x, "sitzungsverlauf")
  35. rednerl <- xml_find_first(x, "rednerliste")
  36. xml_children(rednerl) %>%
  37. parse_rednerliste() ->
  38. redner
  39. xml_children(verlauf) %>%
  40. xml_find_all("rede") %>%
  41. parse_redenliste() ->
  42. res
  43. list(redner = redner, reden = res$reden, talks = res$talks)
  44. }
  45. xml_get <- function(node, name) {
  46. res <- xml_text %$% xml_find_all(node, name)
  47. if (length(res) == 0) NA_character_
  48. else res
  49. }
  50. # parse one redner
  51. parse_redner <- function(redner_xml) {
  52. redner_id <- xml_attr(redner_xml, "id")
  53. nm <- xml_child(redner_xml)
  54. vorname <- xml_get(nm, "vorname")
  55. nachname <- xml_get(nm, "nachname")
  56. fraktion <- xml_get(nm, "fraktion")
  57. titel <- xml_get(nm, "titel")
  58. rolle <- xml_find_all(nm, "rolle")
  59. if (length(rolle) > 0) {
  60. rolle_lang <- xml_get(rolle, "rolle_lang")
  61. rolle_kurz <- xml_get(rolle, "rolle_kurz")
  62. } else rolle_kurz <- rolle_lang <- NA_character_
  63. c(id = redner_id, vorname = vorname, nachname = nachname, fraktion = fraktion, titel = titel,
  64. rolle_kurz = rolle_kurz, rolle_lang = rolle_lang)
  65. }
  66. # parse one rede
  67. # returns: - a rede (with rede id and redner id)
  68. # - all talks appearing in the rede (with corresponding content)
  69. parse_rede <- function(rede_xml) {
  70. rede_id <- xml_attr(rede_xml, "id")
  71. cs <- xml_children(rede_xml)
  72. cur_redner <- NA_character_
  73. principal_redner <- NA_character_
  74. cur_content <- ""
  75. reden <- list()
  76. for (node in cs) {
  77. if (xml_name(node) == "p") {
  78. klasse <- xml_attr(node, "klasse")
  79. if (!is.na(klasse) && klasse == "redner") {
  80. if (!is.na(cur_redner)) {
  81. rede <- c(rede_id = rede_id,
  82. redner = cur_redner,
  83. content = cur_content)
  84. reden <- c(reden, list(rede))
  85. cur_content <- ""
  86. } else {
  87. principal_redner <- xml_child(node) %>% xml_attr("id")
  88. }
  89. cur_redner <- xml_child(node) %>% xml_attr("id")
  90. } else {
  91. cur_content <- paste0(cur_content, xml_text(node), sep="\n")
  92. }
  93. }
  94. }
  95. rede <- c(rede_id = rede_id,
  96. redner = cur_redner,
  97. content = cur_content)
  98. reden <- c(reden, list(rede))
  99. list(rede = c(id = rede_id, redner = principal_redner),
  100. parts = reden)
  101. }
  102. # creates a tibble of reden and a tibble of talks from a list of xml nodes representing reden
  103. parse_redenliste <- function(redenliste_xml) {
  104. d <- sapply(redenliste_xml, parse_rede)
  105. reden <- simplify2array(d["rede", ])
  106. parts <- simplify2array %$% unlist(d["parts", ], recursive=FALSE)
  107. list(reden = tibble(id = reden["id",], redner = reden["redner",]),
  108. talks = tibble(rede_id = parts["rede_id", ],
  109. redner = parts["redner", ],
  110. content = parts["content", ]))
  111. }
  112. # create a tibble of redner from a list of xml nodes representing redner
  113. parse_rednerliste <- function(rednerliste_xml) {
  114. d <- sapply(rednerliste_xml, parse_redner)
  115. tibble(id = d["id",],
  116. vorname = d["vorname",],
  117. nachname = d["nachname",],
  118. fraktion = d["fraktion",],
  119. titel = d["titel",],
  120. rolle_kurz = d["rolle_kurz",],
  121. rolle_lang = d["rolle_lang",])
  122. }
  123. # -------------------------------
  124. # EXAMPLE USE
  125. # make sure data ist downloaded via fetch.R
  126. # res <- read_one("19126-data.xml")
  127. #
  128. # res$redner
  129. # res$reden
  130. # res$talks
  131. # -------------------------------