report.R

library(playwrightr)
# library(tidyverse)

source("utils.R")

options(python_init = TRUE)

cntry_str <- "NL"


# install.packages("pacman")
pacman::p_load(
  reticulate,
  vroom,
  progress,
  janitor,
  fs,
  tidyr,
  # appendornot,
  countrycode,
  dplyr,
  stringr,
  lubridate,
  purrr,
  glue,
  rvest,
  cli,
  digest,
  readr
)


# options(googledrive_quiet = TRUE)
# 
# drive_auth(path = Sys.getenv("GOOGLE_APPLICATION_KEY"))



# cntry <- "ES"
# cntry <- "ES"
#py_install("xvfbwrapper", pip = T)
#py_install("playwright", pip = T)

conda_install(packages = "xvfbwrapper", pip = T)

print("installed xvfbwrapper")
conda_install(packages = "playwright", pip = T)

print("installed playwright")


# conda_install(packages = "fcntl", pip = T)
if(Sys.info()[["sysname"]]=="Windows"){
  xxxx <- F
} else{
  xxxx <- T
}

pw_init(use_xvfb = xxxx)

print("pw initted")
# Launch the browser
system("playwright install")
print("Launch the browser")

browser_df <- browser_launch(
  headless = F,
  browser = "firefox",
  user_agent = NULL,
  user_data_dir = "out"
)

dir.create("lifelong")





# cntries <- c("AD", "AE", "AG", "AI", "AL", "AM", "AO", "AR", "AT", "AU", "AZ", "BA", 
#              "BB", "BD", "BE", "BF", "BG", "BH", "BI", "BJ", "BM", "BN", "BO", "BR", 
#              "BS", "BT", "BW", "BY", "BZ", "CA", "CD", "CF", "CG", "CH", "CI", "CL", 
#              "CM", "CO", "CR", "CV", "CY", "CZ", "DE", "DJ", "DK", "DM", "DO", "DZ", 
#              "EC", "EE", "EG", "ER", "ES", "ET", "FI", "FJ", "FK", "FM", "FR", "GA", 
#              "GB", "GD", "GE", "GG", "GH", "GI", "GM", "GN", "GQ", "GR", "GT", "GW", 
#              "GY", "HN", "HR", "HT", "HU", "ID", "IE", "IL", "IM", "IN", "IQ", "IS", 
#              "IT", "JE", "JM", "JO", "JP", "KE", "KG", "KH", "KI", "KM", "KN", "KW", 
#              "KY", "KZ", "LA", "LB", "LC", "LI", "LK", "LR", "LS", "LT", "LU", "LV", 
#              "LY", "MA", "MC", "MD", "ME", "MG", "MH", "MK", "ML", "MM", "MN", "MR", 
#              "MS", "MT", "MU", "MV", "MW", "MX", "MY", "MZ", "NA", "NE", "NG", "NI", 
#              "NL", "NO", "NP", "NR", "NZ", "OM", "PA", "PE", "PG", "PH", "PK", "PL", 
#              "PS", "PT", "PW", "PY", "QA", "RO", "RS", "RW", "SA", "SB", "SC", "SE", 
#              "SG", "SH", "SI", "SK", "SL", "SM", "SN", "SO", "SR", "SS", "ST", "SV", 
#              "SZ", "TC", "TD", "TG", "TH", "TJ", "TM", "TN", "TO", "TR", "TT", "TV",
#              "TW", "TZ", "UA", "UG", "US", "UY", "UZ", "VC", "VE", "VG", "VI", "VN",
#              "VU", "WF", "WS", "YE", "YT", "ZA", "ZM", "ZW") %>% unique



# retrieve_dats <- function(cntry) {
#   
#   more_data <- readr::read_rds(glue::glue("https://github.com/favstats/meta_reports2/raw/main/lifelong/{cntry}.rds"))  
#   
#   return(more_data)
# }
# 
# #retrieve_dats <- possibly(retrieve_dats, otherwise = NULL)
# 
# #more_data <- cntries %>% 
# #  map_dfr_progress(retrieve_dats)
# 
# 
# 
# 
# 
# 
# 
# 
# 
# 
# old_dat <- dir("daily", full.names = F) %>% 
#   keep(~str_detect(.x, "rds")) %>%
#   str_remove_all("\\.rds") %>%
#   unique()


print("headlesss")
# Create a new page

# page_df <- new_page(browser_df)
page_df <- browser_df %>%
  glimpse


print("sooo")
pw_restart <- function() {
  reticulate::py_run_string("p.stop()")
  pw_init(use_xvfb = xxxx)
  reticulate::py_run_string("p = sync_playwright().start()")
}


print("sooo22")

on <- function(page_df, event, lambda_string) {
  playwrightr:::py_run(glue('{page_df$page_id}.on("{event}", {lambda_string})'))
  return(page_df)
}
off <- function(page_df, event, lambda_string) {
  playwrightr:::py_run(glue(
    '{page_df$page_id}.remove_listener("{event}", {lambda_string})'
  ))
  return(page_df)
}

print("soooxx")
execute_script <- function (page_df, script) {
  playwrightr:::py_run(glue("d = {{page_df$page_id}}.evaluate('{{script}}')"))
}

page_df %>%
  goto("https://www.facebook.com/ads/library/report")
print("visit website")
Sys.sleep(2)

# page_df %>% screenshot("/data/res/facebook_add_reports/test.png")

try({
  page_df %>%
    get_by_test_id("cookie-policy-manage-dialog-accept-button") %>%
    slice(1) %>%
    click() %>%
    screenshot("/data/res/facebook_add_reports/test.png")
})


# Write post-data string to disk into tmp
tmp_post_data_string <-
  paste0(digest::digest("YOOYOOo"), ".txt")#  tempfile(fileext = ".txt")
# page_df %>% on("request", glue::glue('lambda request: print(request.url)'))
# page_df %>% on("request", glue::glue('lambda request: print(request.post_data) if (request.method == "POST" and "report/v2/download" in request.url) else None'))
# page_df %>% on("request", glue::glue('lambda request: print(request.post_data) if (request.method == "POST" and "graphql" in request.url) else None'))
page_df %>% on(
  "request",
  glue::glue(
    'lambda request: open("{tmp_post_data_string}", "w").write(request.post_data) if (request.method == "POST" and "report/v2/download" in request.url) else None'
  )
)
page_df %>% on(
  "request",
  glue::glue(
    'lambda request: open("{tmp_post_data_string}", "w").write(request.post_data) if (request.method == "POST" and "graphql" in request.url) else None'
  )
)
print("some other stuff")
# Print Console
# tmp_download_link <- tempfile()
tmp_download_link <-
  paste0(digest::digest("sdff"), ".txt")#  tempfile(fileext = ".txt")

page_df %>% on("console",
               "lambda msg: open('{tmp_download_link}', 'w').write(msg.text)")

# First click to obtain the request post-body-data
page_df %>%
  get_by_text("Download report") %>%
  slice(2) %>%
  click()

# Print download path
tmp_download_path <-
  paste0(digest::digest("sdsdfsdfdff"), ".txt")#
page_df %>% on(
  "download",
  glue::glue(
    'lambda download: open("{tmp_download_path}", "w").write(download.path())'
  )
)
print("some other stuff 2")

data_string <- readLines(tmp_post_data_string, warn = F) %>%
  str_squish() %>%
  glimpse


# countries <- tibble::tibble(country = c("NL", "DE", "CA", "FR", "US"))
countries <-
  tibble::tibble(country = countrycode::codelist$iso2c) %>%
  filter(!is.na(country)) %>%
  glimpse
# countries <- fs::file_info(dir("/data", recursive = T, full.names = T)) %>%
#   filter(size > 1) %>%
#   pull(path) %>%
#   fs::path_dir() %>%
#   fs::path_file() %>%
#   unique
# readr::write_rds(countries, "data/countries.rds")
#
# countries <- tibble::tibble(country = readr::read_rds("data/countries.rds")) %>%
#   filter(!is.na(country)) %>%
#   glimpse

daysies <-
  tibble::tibble(day = lubridate::as_date(seq.int(
    lubridate::dmy("01-07-2019"), lubridate::today(), by = 1
  ))) %>%
  # days <- tibble::tibble(day = lubridate::as_date(seq.int(lubridate::dmy("15-07-2023"), lubridate::today(), by = 1))) #%>%
  head(-2)
print("afterdaises")


dt <- expand_grid(countries, daysies) %>%
  glimpse


try({
  all_reports_old <- readRDS("logs/all_reports_lifelong.rds")
})

if(!exists("all_reports_old")){
  all_reports_old <- c()
}

# dir("report/ES", full.names = T, recursive = T) %>% sort
dir.create("extracted")
dir.create("report")
print("creation")


dt %>%
  # arrange(day, country != "RU") %>%
  filter(country == cntry_str) %>%
  arrange(desc(day), country) %>%
  filter(day >= lubridate::ymd("2023-08-01")) %>% 
  # slice(1:7) %>%
  split(1:nrow(.)) %>%# bashR::simule_map(1)
  walk_progress( ~ {
    file_name <-
      glue::glue("report/{.x$country}/{as.character(.x$day)}.zip")
    if (file_name %in% all_reports_old)
      return()
    
    cli::cli_alert_info(glue::glue("{.x$country} - {.x$day}"))
    
    path_dir <- fs::path_dir(file_name)
    if (!fs::dir_exists(path_dir))
      fs::dir_create(path_dir)
    
    #time_preset <- "yesterday"
    time_preset <- "lifelong"
    
    
    js_code <-
      paste0(
        'fetch("https://www.facebook.com/ads/library/report/v2/download/?report_ds=',
        as.character(.x$day),
        '&country=',
        .x$country,
        '&time_preset=',
        time_preset,
        '", {"headers": {"accept": "*/*", "content-type": "application/x-www-form-urlencoded"}, "body": "',
        data_string,
        '", "method": "POST", "mode": "cors", "credentials": "include" }).then(resp => resp.text()).then(data => console.log(data));'
      )
    
    page_df %>% execute_script(js_code)
    Sys.sleep(.1)
    
    download_url <- readLines(tmp_download_link, warn = F) %>%
      str_extract("\"https.*?\"") %>%
      str_remove_all("(^\")|(\"$)") %>%
      str_remove_all("\\\\") %>%
      glimpse
    
    if (is.na(download_url)) {
      if (!(.x$day %in% lubridate::as_date((lubridate::today() - lubridate::days(10)):lubridate::today()
      ))) {
        write(list(), file_name)
      }
    } else if (str_detect(download_url, "facebook.com/help/contact/")) {
      cli::cli_alert_danger("Blocked")
      Sys.sleep(10)
      return("Blocked")
    } else {
      download.file(download_url,
                    file_name,
                    quiet = T,
                    mode = "wb")
    }
    
    
    
    Sys.sleep(runif(1, 0, .3))
  })


print("NL DOWNLOADED")

dir(paste0("report/",cntry_str), full.names = T, recursive = T) %>%
  sort(decreasing = T) %>% 
  # .[1:7] %>% 
  walk_progress( ~ {
    unzip(.x, exdir = "extracted")
  })

# unzip(dir(paste0("report/",cntry_str), full.names = T, recursive = T), exdir = "extracted")

print("NL UNZIPPED")


latest_available_date <- dir("extracted") %>% 
  keep(~str_detect(.x, cntry_str)) %>% 
  sort(decreasing = T) %>% 
  str_split("_") %>% unlist %>% .[2]

print("whats the latest available date")


if(length(latest_available_date)==0){
  print("its actually zero why")
  
  latest_available_date <- as.character(lubridate::today()-lubridate::days(4))
}


print("NL DONE")


step1 <- dir("extracted", full.names = T, recursive = F) 
print(head(step1))
tobeextracted <- step1 %>% keep(~ str_detect(.x, "advert")) 
print(head(tobeextracted))

the_dat <- tobeextracted %>%
  map_dfr_progress(~ {
    cntry_str <- str_split(.x, "_") %>% unlist %>% .[3]
    tframe <- str_split(.x, "_") %>% unlist %>% .[4]
    
    thedata <- vroom::vroom(.x, show_col_types = F) %>%
      janitor::clean_names() %>%
      mutate(date = str_extract(.x, "\\d{4}-\\d{2}-\\d{2}")) %>%
      mutate_all(as.character) %>%
      mutate(path = .x) %>%
      mutate(tf = tframe) %>%
      mutate(cntry = cntry_str)
    
    if (any(c("name_disclaimer_amount") %in% names(thedata))) {
      print("##within1")
      print(thedata)
      thedata <- thedata %>%
        filter(is.na(name_disclaimer_amount))  %>%
        janitor::remove_empty()
      print("##within2")
      print(thedata)
    } else {
      # print("##after1")
      # print(thedata)
      thedata <- thedata
      #   print("##after2")
      # print(thedata)
    }
    
    
    
    # try({
    #   thedata <- thedata %>%
    #     bind_rows(readRDS(paste0("lifelong/",cntry_str, ".rds"))) %>%
    #     distinct()   
    # })
    # 
    # thedata %>%
    #   saveRDS(paste0("lifelong/",cntry_str, ".rds"))
    # 
    return(thedata)
  })

cntry_str <- "NL"
old_dat <- readRDS(paste0("lifelong/",cntry_str, ".rds"))

try({
  the_dat <- the_dat %>% 
    mutate(amount_spent_eur = readr::parse_number(as.character(amount_spent_eur)))
})

# wtm_advertisers <- read_csv("data/nl_advertisers_13_20_Oct_2023 (1).csv") #%>% View()

the_daaaat <-
  the_dat %>% 
  bind_rows(old_dat) %>%  distinct()
  # bind_rows(old_dat %>% 
  #             filter(!(date %in% c("2023-10-25", "2023-10-26", "2023-10-27", "2023-10-28")))) %>% distinct() %>% 
  filter(amount_spent_eur != 100) %>% 
  add_count(page_id, page_name, disclaimer) %>%
  arrange(desc(amount_spent_eur)) %>% 
  group_by(page_id, page_name, date) %>%
  arrange(desc(n)) %>% 
  summarize(amount_spent_eur = sum(amount_spent_eur),
            disclaimer = disclaimer[1]) %>% 
  ungroup() %>%
  arrange(desc(amount_spent_eur)) %>% 
  distinct(page_id, date, .keep_all = T)
    # filter(date=="2023-10-25")
# 
# the14 <- the_daaaat %>%
# filter(date=="2023-10-15") %>%
# left_join(election_dat30 %>%
#             distinct(internal_id, party) %>%
#             select(page_id = internal_id, party)) %>%
# group_by(party, date) %>%
# summarize(amount_spent_eur = sum(amount_spent_eur)) %>%
# ungroup() %>%
# drop_na()
# 
# add_them <- wtm_advertisers  %>%
#   mutate(page_id = as.character(advertiser_id)) %>%
#   filter(date_produced %in% as.Date(c("2023-10-16", "2023-10-17", "2023-10-18")))  %>%
#   # mutate(spend = ifelse(spend<100, 100, spend))  %>%
#   left_join(election_dat30 %>%
#               distinct(internal_id, party) %>%
#               select(page_id = internal_id, party)) %>%
#   group_by(party, date_produced) %>%
#   summarize(spend = sum(spend)) %>%
#   ungroup() %>%
#   left_join(the14 %>% select(party, tillthen = amount_spent_eur)) %>%
#   mutate(amount_spent_eur = ifelse(date_produced==as.Date("2023-10-16"), spend+tillthen, spend)) %>%
#   mutate(amount_spent_eur = ifelse(is.na(amount_spent_eur), spend, amount_spent_eur)) %>%
#   group_by(party) %>%
#   arrange(date_produced) %>%
#   mutate(amount_spent_eur = cumsum(amount_spent_eur)) %>%
#   ungroup() %>%
#   filter(party != "SGP") %>% 
#   bind_rows(
#     the14 %>%
#       # mutate(spend = 0) %>%
#       select(-date) %>%
#       expand_grid(date_produced = as.Date(c("2023-10-16", "2023-10-17", "2023-10-18")))
#   ) %>%
#   distinct(party, date_produced, .keep_all = T)  %>% 
#   mutate(spend = amount_spent_eur) %>% 
#   select(-tillthen, -amount_spent_eur) %>% drop_na()
# 
#   # filter(page_id == "115027651906533") %>% View()
#   # left_join(the_daaaat %>% distinct(page_id, .keep_all = T) %>% select(page_id, page_name))
# #   # arrange()
#   # count(page_id, sort = T)
# #
# saveRDS(add_them, file = "data/add_them.rds")
# the_daaaat  %>%
#   # left_join(election_dat30 %>%
#   #             distinct(internal_id, party) %>% 
#   #             select(page_id = internal_id, party)) %>% 
#   # group_by(party, date) %>% 
#   # summarize(amount_spent_eur = sum(amount_spent_eur)) %>% 
#   filter(date=="2023-10-15") %>% 
#   filter(page_name == "VVD")
# 
# add_them %>%
#   # left_join(election_dat30 %>%
#   #             distinct(internal_id, party) %>% 
#   #             select(page_id = internal_id, party)) %>% 
#   # group_by(party, date_produced) %>% 
#   # summarize(amount_spent_eur = sum(amount_spent_eur)) %>% 
#   filter(page_name == "VVD")
# 
# the_daaaat  %>%
#   left_join(election_dat30 %>%
#               distinct(internal_id, party) %>% 
#               select(page_id = internal_id, party)) %>% 
#   group_by(party, date) %>% 
#   summarize(amount_spent_eur = sum(amount_spent_eur)) %>% 
#   filter(date=="2023-10-15") %>% 
#   filter(party == "VVD")
# 
# hc_data_cum_raw %>%
#   # left_join(election_dat30 %>%
#   #             distinct(internal_id, party) %>%
#   #             select(page_id = internal_id, party)) %>%
#   # group_by(party, date_produced) %>%
#   # summarize(amount_spent_eur = sum(amount_spent_eur)) %>%
#   filter(party == "PvdD")

# old_dat %>% 
#   filter(str_detect(page_name, "VVD")) %>%View()
#   # count(date, sort  =T)
#     filter(date=="2023-10-13")
# 
# add_them %>%
#   filter(page_name == "VVD")
# 
# the_daaaat <- the_daaaat %>%
  # bind_rows(add_them %>%  mutate(date = as.character(date_produced)) %>% select(-spend, -tillthen, -date_produced))

# the_daaaat %>% 
#       filter(date=="2023-10-13")%>% 
#   filter(page_name == "VVD")
  
# add_them %>%
#   mutate(date = as.character(date_produced)) %>% select(-spend, -tillthen, -date_produced) %>% 
#   filter(page_name == "VVD")

# the_daaaat %>% 
#   filter(date %in% c("2023-10-13", "2023-10-14", "2023-10-15", "2023-10-16", "2023-10-17",
#                      "2023-10-18", "2023-10-19")) %>% count(date)

# the_dat %>% 
#   filter(date %in% c("2023-10-24", "2023-10-25", "2023-10-26", "2023-10-27", "2023-10-28")) %>% 
#   filter(page_name == "VVD")
# 
# old_dat %>% filter(date!="2023-10-25"|date!="2023-10-26"|date!="2023-10-27"|date!="2023-10-28") %>% 
#   filter(!(date %in% c("2023-10-24", "2023-10-25", "2023-10-26", "2023-10-27", "2023-10-28"))) %>% 
#   filter(page_name == "VVD")

saveRDS(the_daaaat, paste0("lifelong/",cntry_str, ".rds"))

# the_dat %>% 
#   # filter(page_id == "1000182456818319")
#   count(page_id)

print("################5")

unlink("node_modules", recursive = T, force = T)
unlink("out", recursive = T, force = T)

print("################6")

dir() %>%
  keep( ~ str_detect(.x, ".txt")) %>%
  discard( ~ str_detect(.x, "n_advertisers.txt")) %>%
  walk(file.remove)


print("################8")


# all_reports_old <- readRDS("logs/all_reports.rds")

print("################9")

all_reports <- dir("report", full.names = T, recursive = T)

print("################10")

all_reports <- all_reports_old %>% 
  c(all_reports) %>% 
  unique()
print("################11")

saveRDS(all_reports, file = "logs/all_reports_lifelong.rds")

print("################12")


# extracted_id <- googledrive::drive_ls("meta_reports") %>% 
#   filter(name == "extracted_lifelong") %>% pull(id)
# 
# print("################13")
# 
# 
# unlink("extracted/regions", recursive = T, force = T)
# drive_upload_folder(folder = "extracted", drive_path = extracted_id)
# 
# print("################14")
# 
# 
# report_id <- googledrive::drive_ls("meta_reports") %>% 
#   filter(name == "report_lifelong") %>% pull(id)
# 
# print("################15")
# 
# 
# drive_upload_folder(folder = "report", drive_path = report_id)
# 
# print("################16")
# 
# lifelong_id <- googledrive::drive_ls("meta_reports") %>% 
#   filter(name == "lifelong") %>% pull(id)
# 
# print("################1666")
# 
# 
# drive_upload_folder(folder = "lifelong", drive_path = lifelong_id)
# 
# print("################17222")
# 
unlink("report", recursive = T, force = T)
unlink("extracted", recursive = T, force = T)
# 
# print("################17")