spec_guess.md
In tibblify: Rectangle Nested Lists

can guess spec for discog

Code
  guess_tspec(discog) %>% print()
Output
  tspec_df(
    tib_int("instance_id"),
    tib_chr("date_added"),
    tib_row(
      "basic_information",
      tib_df(
        "labels",
        tib_chr("name"),
        tib_chr("entity_type"),
        tib_chr("catno"),
        tib_chr("resource_url"),
        tib_int("id"),
        tib_chr("entity_type_name"),
      ),
      tib_int("year"),
      tib_chr("master_url"),
      tib_df(
        "artists",
        tib_chr("join"),
        tib_chr("name"),
        tib_chr("anv"),
        tib_chr("tracks"),
        tib_chr("role"),
        tib_chr("resource_url"),
        tib_int("id"),
      ),
      tib_int("id"),
      tib_chr("thumb"),
      tib_chr("title"),
      tib_df(
        "formats",
        tib_variant("descriptions", required = FALSE),
        tib_chr("text", required = FALSE),
        tib_chr("name"),
        tib_chr("qty"),
      ),
      tib_chr("cover_image"),
      tib_chr("resource_url"),
      tib_int("master_id"),
    ),
    tib_int("id"),
    tib_int("rating"),
  )

can guess spec for gh_users

Code
  guess_tspec(gh_users) %>% print()
Output
  tspec_df(
    tib_chr("login"),
    tib_int("id"),
    tib_chr("avatar_url"),
    tib_chr("gravatar_id"),
    tib_chr("url"),
    tib_chr("html_url"),
    tib_chr("followers_url"),
    tib_chr("following_url"),
    tib_chr("gists_url"),
    tib_chr("starred_url"),
    tib_chr("subscriptions_url"),
    tib_chr("organizations_url"),
    tib_chr("repos_url"),
    tib_chr("events_url"),
    tib_chr("received_events_url"),
    tib_chr("type"),
    tib_lgl("site_admin"),
    tib_chr("name"),
    tib_chr("company"),
    tib_chr("blog"),
    tib_chr("location"),
    tib_chr("email"),
    tib_lgl("hireable"),
    tib_chr("bio"),
    tib_int("public_repos"),
    tib_int("public_gists"),
    tib_int("followers"),
    tib_int("following"),
    tib_chr("created_at"),
    tib_chr("updated_at"),
  )

can guess spec for gh_repos

Code
  guess_tspec(gh_repos) %>% print()
Output
  tspec_df(
    tib_int("id"),
    tib_chr("name"),
    tib_chr("full_name"),
    tib_row(
      "owner",
      tib_chr("login"),
      tib_int("id"),
      tib_chr("avatar_url"),
      tib_chr("gravatar_id"),
      tib_chr("url"),
      tib_chr("html_url"),
      tib_chr("followers_url"),
      tib_chr("following_url"),
      tib_chr("gists_url"),
      tib_chr("starred_url"),
      tib_chr("subscriptions_url"),
      tib_chr("organizations_url"),
      tib_chr("repos_url"),
      tib_chr("events_url"),
      tib_chr("received_events_url"),
      tib_chr("type"),
      tib_lgl("site_admin"),
    ),
    tib_lgl("private"),
    tib_chr("html_url"),
    tib_chr("description"),
    tib_lgl("fork"),
    tib_chr("url"),
    tib_chr("forks_url"),
    tib_chr("keys_url"),
    tib_chr("collaborators_url"),
    tib_chr("teams_url"),
    tib_chr("hooks_url"),
    tib_chr("issue_events_url"),
    tib_chr("events_url"),
    tib_chr("assignees_url"),
    tib_chr("branches_url"),
    tib_chr("tags_url"),
    tib_chr("blobs_url"),
    tib_chr("git_tags_url"),
    tib_chr("git_refs_url"),
    tib_chr("trees_url"),
    tib_chr("statuses_url"),
    tib_chr("languages_url"),
    tib_chr("stargazers_url"),
    tib_chr("contributors_url"),
    tib_chr("subscribers_url"),
    tib_chr("subscription_url"),
    tib_chr("commits_url"),
    tib_chr("git_commits_url"),
    tib_chr("comments_url"),
    tib_chr("issue_comment_url"),
    tib_chr("contents_url"),
    tib_chr("compare_url"),
    tib_chr("merges_url"),
    tib_chr("archive_url"),
    tib_chr("downloads_url"),
    tib_chr("issues_url"),
    tib_chr("pulls_url"),
    tib_chr("milestones_url"),
    tib_chr("notifications_url"),
    tib_chr("labels_url"),
    tib_chr("releases_url"),
    tib_chr("deployments_url"),
    tib_chr("created_at"),
    tib_chr("updated_at"),
    tib_chr("pushed_at"),
    tib_chr("git_url"),
    tib_chr("ssh_url"),
    tib_chr("clone_url"),
    tib_chr("svn_url"),
    tib_chr("homepage"),
    tib_int("size"),
    tib_int("stargazers_count"),
    tib_int("watchers_count"),
    tib_chr("language"),
    tib_lgl("has_issues"),
    tib_lgl("has_downloads"),
    tib_lgl("has_wiki"),
    tib_lgl("has_pages"),
    tib_int("forks_count"),
    tib_unspecified("mirror_url"),
    tib_int("open_issues_count"),
    tib_int("forks"),
    tib_int("open_issues"),
    tib_int("watchers"),
    tib_chr("default_branch"),
  )

can guess spec for got_chars

Code
  spec
Output
  tspec_df(
    tib_chr("url"),
    tib_int("id"),
    tib_chr("name"),
    tib_chr("gender"),
    tib_chr("culture"),
    tib_chr("born"),
    tib_chr("died"),
    tib_lgl("alive"),
    tib_chr_vec("titles"),
    tib_variant("aliases"),
    tib_chr("father"),
    tib_chr("mother"),
    tib_chr("spouse"),
    tib_variant("allegiances"),
    tib_variant("books"),
    tib_chr_vec("povBooks"),
    tib_chr_vec("tvSeries"),
    tib_chr_vec("playedBy"),
  )

can guess spec for citm_catalog

Code
  guess_tspec(x)
Output
  tspec_object(
    tib_row(
      "areaNames",
      tib_chr("205705993"),
      tib_chr("205705994"),
      tib_chr("205705995"),
    ),
    tib_row(
      "audienceSubCategoryNames",
      tib_chr("337100890"),
    ),
    tib_unspecified("blockNames"),
    tib_df(
      "events",
      .names_to = ".names",
      tib_unspecified("description"),
      tib_int("id"),
      tib_chr("logo"),
      tib_chr("name"),
      tib_int_vec("subTopicIds"),
      tib_unspecified("subjectCode"),
      tib_unspecified("subtitle"),
      tib_int_vec("topicIds"),
    ),
    tib_df(
      "performances",
      tib_int("eventId"),
      tib_int("id"),
      tib_unspecified("logo"),
      tib_unspecified("name"),
      tib_df(
        "prices",
        tib_int("amount"),
        tib_int("audienceSubCategoryId"),
        tib_int("seatCategoryId"),
      ),
      tib_df(
        "seatCategories",
        tib_df(
          "areas",
          tib_int("areaId"),
          tib_unspecified("blockIds"),
        ),
        tib_int("seatCategoryId"),
      ),
      tib_unspecified("seatMapImage"),
      tib_dbl("start"),
      tib_chr("venueCode"),
    ),
    tib_row(
      "seatCategoryNames",
      tib_chr("338937235"),
      tib_chr("338937236"),
      tib_chr("338937238"),
    ),
    tib_row(
      "subTopicNames",
      tib_chr("337184262"),
      tib_chr("337184263"),
      tib_chr("337184267"),
    ),
    tib_unspecified("subjectNames"),
    tib_row(
      "topicNames",
      tib_chr("107888604"),
      tib_chr("324846098"),
      tib_chr("324846099"),
      tib_chr("324846100"),
    ),
    tib_row(
      "topicSubTopics",
      tib_int_vec("107888604"),
      tib_int("324846098"),
      tib_int_vec("324846099"),
      tib_int_vec("324846100"),
    ),
    tib_row(
      "venueNames",
      tib_chr("PLEYEL_PLEYEL"),
    ),
  )

Code
  guess_tspec_list(x, simplify_list = FALSE)
Output
  tspec_object(
    tib_row(
      "areaNames",
      tib_chr("205705993"),
      tib_chr("205705994"),
      tib_chr("205705995"),
    ),
    tib_row(
      "audienceSubCategoryNames",
      tib_chr("337100890"),
    ),
    tib_unspecified("blockNames"),
    tib_df(
      "events",
      .names_to = ".names",
      tib_unspecified("description"),
      tib_int("id"),
      tib_chr("logo"),
      tib_chr("name"),
      tib_int_vec("subTopicIds"),
      tib_unspecified("subjectCode"),
      tib_unspecified("subtitle"),
      tib_int_vec("topicIds"),
    ),
    tib_df(
      "performances",
      tib_int("eventId"),
      tib_int("id"),
      tib_unspecified("logo"),
      tib_unspecified("name"),
      tib_df(
        "prices",
        tib_int("amount"),
        tib_int("audienceSubCategoryId"),
        tib_int("seatCategoryId"),
      ),
      tib_df(
        "seatCategories",
        tib_df(
          "areas",
          tib_int("areaId"),
          tib_unspecified("blockIds"),
        ),
        tib_int("seatCategoryId"),
      ),
      tib_unspecified("seatMapImage"),
      tib_dbl("start"),
      tib_chr("venueCode"),
    ),
    tib_row(
      "seatCategoryNames",
      tib_chr("338937235"),
      tib_chr("338937236"),
      tib_chr("338937238"),
    ),
    tib_row(
      "subTopicNames",
      tib_chr("337184262"),
      tib_chr("337184263"),
      tib_chr("337184267"),
    ),
    tib_unspecified("subjectNames"),
    tib_row(
      "topicNames",
      tib_chr("107888604"),
      tib_chr("324846098"),
      tib_chr("324846099"),
      tib_chr("324846100"),
    ),
    tib_row(
      "topicSubTopics",
      tib_int_vec("107888604"),
      tib_int("324846098"),
      tib_int_vec("324846099"),
      tib_int_vec("324846100"),
    ),
    tib_row(
      "venueNames",
      tib_chr("PLEYEL_PLEYEL"),
    ),
  )

can guess spec for gsoc-2018

Code
  guess_tspec(x)
Output
  tspec_df(
    .names_to = ".names",
    tib_chr("@context"),
    tib_chr("@type"),
    tib_chr("name"),
    tib_chr("description"),
    tib_row(
      "sponsor",
      tib_chr("@type"),
      tib_chr("name"),
      tib_chr("disambiguatingDescription"),
      tib_chr("description"),
      tib_chr("url"),
      tib_chr("logo"),
    ),
    tib_row(
      "author",
      tib_chr("@type"),
      tib_chr("name"),
    ),
  )

can guess spec for twitter

Code
  guess_tspec(x)
Output
  tspec_object(
    tib_df(
      "statuses",
      tib_row(
        "metadata",
        tib_chr("result_type"),
        tib_chr("iso_language_code"),
      ),
      tib_chr("created_at"),
      tib_dbl("id"),
      tib_chr("id_str"),
      tib_chr("text"),
      tib_chr("source"),
      tib_lgl("truncated"),
      tib_dbl("in_reply_to_status_id"),
      tib_chr("in_reply_to_status_id_str"),
      tib_int("in_reply_to_user_id"),
      tib_chr("in_reply_to_user_id_str"),
      tib_chr("in_reply_to_screen_name"),
      tib_row(
        "user",
        tib_dbl("id"),
        tib_chr("id_str"),
        tib_chr("name"),
        tib_chr("screen_name"),
        tib_chr("location"),
        tib_chr("description"),
        tib_chr("url"),
        tib_df(
          "entities",
          .names_to = ".names",
          tib_df(
            "urls",
            tib_chr("url"),
            tib_chr("expanded_url"),
            tib_chr("display_url"),
            tib_int_vec("indices"),
          ),
        ),
        tib_lgl("protected"),
        tib_int("followers_count"),
        tib_int("friends_count"),
        tib_int("listed_count"),
        tib_chr("created_at"),
        tib_int("favourites_count"),
        tib_int("utc_offset"),
        tib_chr("time_zone"),
        tib_lgl("geo_enabled"),
        tib_lgl("verified"),
        tib_int("statuses_count"),
        tib_chr("lang"),
        tib_lgl("contributors_enabled"),
        tib_lgl("is_translator"),
        tib_lgl("is_translation_enabled"),
        tib_chr("profile_background_color"),
        tib_chr("profile_background_image_url"),
        tib_chr("profile_background_image_url_https"),
        tib_lgl("profile_background_tile"),
        tib_chr("profile_image_url"),
        tib_chr("profile_image_url_https"),
        tib_chr("profile_banner_url", required = FALSE),
        tib_chr("profile_link_color"),
        tib_chr("profile_sidebar_border_color"),
        tib_chr("profile_sidebar_fill_color"),
        tib_chr("profile_text_color"),
        tib_lgl("profile_use_background_image"),
        tib_lgl("default_profile"),
        tib_lgl("default_profile_image"),
        tib_lgl("following"),
        tib_lgl("follow_request_sent"),
        tib_lgl("notifications"),
      ),
      tib_unspecified("geo"),
      tib_unspecified("coordinates"),
      tib_unspecified("place"),
      tib_unspecified("contributors"),
      tib_int("retweet_count"),
      tib_int("favorite_count"),
      tib_row(
        "entities",
        tib_df(
          "hashtags",
          tib_chr("text"),
          tib_int_vec("indices"),
        ),
        tib_unspecified("symbols"),
        tib_unspecified("urls"),
        tib_df(
          "user_mentions",
          tib_chr("screen_name"),
          tib_chr("name"),
          tib_int("id"),
          tib_chr("id_str"),
          tib_int_vec("indices"),
        ),
        tib_df(
          "media",
          .required = FALSE,
          tib_dbl("id"),
          tib_chr("id_str"),
          tib_int_vec("indices"),
          tib_chr("media_url"),
          tib_chr("media_url_https"),
          tib_chr("url"),
          tib_chr("display_url"),
          tib_chr("expanded_url"),
          tib_chr("type"),
          tib_df(
            "sizes",
            .names_to = ".names",
            tib_int("w"),
            tib_int("h"),
            tib_chr("resize"),
          ),
          tib_dbl("source_status_id"),
          tib_chr("source_status_id_str"),
        ),
      ),
      tib_lgl("favorited"),
      tib_lgl("retweeted"),
      tib_chr("lang"),
      tib_row(
        "retweeted_status",
        .required = FALSE,
        tib_row(
          "metadata",
          .required = FALSE,
          tib_chr("result_type"),
          tib_chr("iso_language_code"),
        ),
        tib_chr("created_at", required = FALSE),
        tib_dbl("id", required = FALSE),
        tib_chr("id_str", required = FALSE),
        tib_chr("text", required = FALSE),
        tib_chr("source", required = FALSE),
        tib_lgl("truncated", required = FALSE),
        tib_unspecified("in_reply_to_status_id", required = FALSE),
        tib_unspecified("in_reply_to_status_id_str", required = FALSE),
        tib_unspecified("in_reply_to_user_id", required = FALSE),
        tib_unspecified("in_reply_to_user_id_str", required = FALSE),
        tib_unspecified("in_reply_to_screen_name", required = FALSE),
        tib_row(
          "user",
          .required = FALSE,
          tib_int("id"),
          tib_chr("id_str"),
          tib_chr("name"),
          tib_chr("screen_name"),
          tib_chr("location"),
          tib_chr("description"),
          tib_unspecified("url"),
          tib_df(
            "entities",
            .names_to = ".names",
            tib_df(
              "urls",
              tib_chr("url"),
              tib_chr("expanded_url"),
              tib_chr("display_url"),
              tib_int_vec("indices"),
            ),
          ),
          tib_lgl("protected"),
          tib_int("followers_count"),
          tib_int("friends_count"),
          tib_int("listed_count"),
          tib_chr("created_at"),
          tib_int("favourites_count"),
          tib_int("utc_offset"),
          tib_chr("time_zone"),
          tib_lgl("geo_enabled"),
          tib_lgl("verified"),
          tib_int("statuses_count"),
          tib_chr("lang"),
          tib_lgl("contributors_enabled"),
          tib_lgl("is_translator"),
          tib_lgl("is_translation_enabled"),
          tib_chr("profile_background_color"),
          tib_chr("profile_background_image_url"),
          tib_chr("profile_background_image_url_https"),
          tib_lgl("profile_background_tile"),
          tib_chr("profile_image_url"),
          tib_chr("profile_image_url_https"),
          tib_chr("profile_banner_url"),
          tib_chr("profile_link_color"),
          tib_chr("profile_sidebar_border_color"),
          tib_chr("profile_sidebar_fill_color"),
          tib_chr("profile_text_color"),
          tib_lgl("profile_use_background_image"),
          tib_lgl("default_profile"),
          tib_lgl("default_profile_image"),
          tib_lgl("following"),
          tib_lgl("follow_request_sent"),
          tib_lgl("notifications"),
        ),
        tib_unspecified("geo", required = FALSE),
        tib_unspecified("coordinates", required = FALSE),
        tib_unspecified("place", required = FALSE),
        tib_unspecified("contributors", required = FALSE),
        tib_int("retweet_count", required = FALSE),
        tib_int("favorite_count", required = FALSE),
        tib_row(
          "entities",
          .required = FALSE,
          tib_df(
            "hashtags",
            tib_chr("text"),
            tib_int_vec("indices"),
          ),
          tib_unspecified("symbols"),
          tib_unspecified("urls"),
          tib_unspecified("user_mentions"),
          tib_df(
            "media",
            .required = FALSE,
            tib_dbl("id"),
            tib_chr("id_str"),
            tib_int_vec("indices"),
            tib_chr("media_url"),
            tib_chr("media_url_https"),
            tib_chr("url"),
            tib_chr("display_url"),
            tib_chr("expanded_url"),
            tib_chr("type"),
            tib_df(
              "sizes",
              .names_to = ".names",
              tib_int("w"),
              tib_int("h"),
              tib_chr("resize"),
            ),
          ),
        ),
        tib_lgl("favorited", required = FALSE),
        tib_lgl("retweeted", required = FALSE),
        tib_lgl("possibly_sensitive", required = FALSE),
        tib_chr("lang", required = FALSE),
      ),
      tib_lgl("possibly_sensitive", required = FALSE),
    ),
    tib_row(
      "search_metadata",
      tib_dbl("completed_in"),
      tib_dbl("max_id"),
      tib_chr("max_id_str"),
      tib_chr("next_results"),
      tib_chr("query"),
      tib_chr("refresh_url"),
      tib_int("count"),
      tib_int("since_id"),
      tib_chr("since_id_str"),
    ),
  )

informing about unspecified looks good

Code
  spec_inform_unspecified(spec)
Message
  The spec contains 6 unspecified fields:
  * 1un
  * 1df->2un
  * 1df->2row->3un
  * 1df->2row->3un2
  * 1row->2un2
  * 1row->2un3