From fe397febb3660432c0a0f067df138d3253ca94d6 Mon Sep 17 00:00:00 2001 From: LucieContamin Date: Tue, 26 Mar 2024 14:31:52 -0400 Subject: [PATCH 01/59] add CoC --- .github/CODE_OF_CONDUCT.md | 140 +++++++++++++++++++++++++++++++++++++ 1 file changed, 140 insertions(+) create mode 100644 .github/CODE_OF_CONDUCT.md diff --git a/.github/CODE_OF_CONDUCT.md b/.github/CODE_OF_CONDUCT.md new file mode 100644 index 0000000..55d912a --- /dev/null +++ b/.github/CODE_OF_CONDUCT.md @@ -0,0 +1,140 @@ +# Contributor Covenant Code of Conduct + +## Our Pledge + +We as members, contributors, and leaders pledge to make participation +in our Scenario Modeling Hub community a harassment-free experience +for everyone, regardless of age, body size, visible or invisible +disability, ethnicity, sex characteristics, gender identity and +expression, level of experience, education, socio-economic status, +nationality, personal appearance, race, caste, color, political +affiliation, religion, or sexual identity and orientation. + +We pledge to act and interact in ways that contribute to an open, +welcoming, diverse, inclusive, and healthy community. + + +## Our Standards + +Examples of behavior that contributes to a positive environment for our +community include: + +* Demonstrating empathy and kindness toward other people +* Being respectful of differing opinions, viewpoints, and experiences +* Giving and gracefully accepting constructive feedback +* Accepting responsibility and apologizing to those affected by our mistakes, + and learning from the experience +* Focusing on what is best not just for us as individuals, but for the overall + community + +Examples of unacceptable behavior include: + +* The use of sexualized language or imagery, and sexual attention or advances + of any kind +* Trolling, insulting or derogatory comments, and personal or political attacks +* Public or private harassment +* Publishing others’ private information, such as a physical or email address, + without their explicit permission +* Other conduct which could reasonably be considered inappropriate in a + professional setting + + +## Enforcement Responsibilities + +The code of conduct committee is responsible for clarifying and +enforcing our standards of acceptable behavior and will take +appropriate and fair corrective action in response to any behavior +that they deem inappropriate, threatening, offensive, or harmful. + +The code of conduct committee has the right and responsibility to +remove, edit, or reject comments, commits, code, wiki edits, issues, +and other contributions that are not aligned to this Code of Conduct, +and will communicate reasons for moderation decisions when +appropriate. + +The SMH code of conduct committee consists of three members: + +- [Lucie Contamin](mailto:contamin@pitt.edu) +- [Emily Howerton](mailto:eh6323@princeton.edu) +- [Bryan Lewis](mailto:brylew@virginia.edu) + + +## Scope + +This Code of Conduct applies within all Scenario Modeling Hub public online +shared resources (e.g. GitHub, shared Slack channels). + + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior +may be reported to the code of conduct committee responsible for +enforcement by email. All complaints will be reviewed and +investigated promptly and fairly. + +All members of the code of conduct committee are obligated to respect +the privacy and security of the reporter of any incident. + + +## Enforcement Guidelines + +The code of conduct committee will follow these Community Impact +Guidelines in determining the consequences for any action they +deem in violation of this Code of Conduct: + + +### 1. Correction + +**Community Impact**: Use of inappropriate language or other behavior +deemed unprofessional or unwelcome in the community. + +**Consequence**: A private, written warning from the code of conduct +committee, providing clarity around the nature of the violation and an +explanation of why the behavior was inappropriate. A public apology may +be requested. + +### 2. Warning + +**Community Impact**: A violation through a single incident or series of +actions. + +**Consequence**: A warning with consequences for continued behavior. No +interaction with the people involved, including unsolicited interaction +with those enforcing the Code of Conduct, for a specified period of time. +This includes avoiding interactions in community spaces as well as external +channels like social media. Violating these terms may lead to a temporary +or permanent ban. + +### 3. Temporary Ban + +**Community Impact**: A serious violation of community standards, including +sustained inappropriate behavior. + +**Consequence**: A temporary ban from any sort of interaction or public +communication with the community for a specified period of time. No public +or private interaction with the people involved, including unsolicited +interaction with those enforcing the Code of Conduct, is allowed during +this period. Violating these terms may lead to a permanent ban. + +### 4. Permanent Ban + +**Community Impact**: Demonstrating a pattern of violation of community +standards, including sustained inappropriate behavior, harassment of an +individual, or aggression toward or disparagement of classes of individuals. + +**Consequence**: A permanent ban from any sort of public interaction within +the community. + +## Attribution + +This Code of Conduct is adapted from the +[Contributor Covenant](https://www.contributor-covenant.org), +version 2.1, available at +. + +Community Impact Guidelines were inspired by +[Mozilla's code of conduct enforcement ladder][https://github.com/mozilla/inclusion]. + +For answers to common questions about this code of conduct, see the FAQ at +. +Translations are available at . 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zrw96Z1k(YUxihi}MWB*`$rKKbB>=0mx8Lb(!Vz35sc2pJW$0sp!C-cS5B##jU<@&) zJ{U_3#s_2OgOr(?&brTl3qc#+{oQ7qJh&oIkoz_m3oU%HH`Zm3hEeu57Gwb;1~|l z3^TI5ucwtoup7nJ*TdP-4(EUg!~0M{T^j=&(Lx``0Px60;GPp)U#PvKovT5pFJU7* z4o5v+KX9LThuz#V8+|F19?qY8w@cag56nkF+*^}f6KL@ujJcCB{*l0`hB5w&6sEdrx)5V?vKHi?z zB*yIV?Y8sS=%h!mcG7d%Xm3QYauOP&qn#(&GRPC22mZJ%!oc|SJxE(91o9Srf)y#) zjWIJ09KbVSqkV|0fiIW`dz!2MmM~9e`1#=Z5XPmAAY3r_mU^Dnwlr6Ylb)Lkhn6_F zB7k|_0>+^qOo00WeE_OMNRNQfa}Z30t}t2Z!(?o?8>UAFOrQ2}9^(V@=B{uh8ho)v zh|qrs1AozTB-W!8eKMvJv0_^k*5eNmmzM z9zLe7x*@u{a79cgxN;T=2R@R;;NUL;#VOduz%vZsodIZug50tQlXo$!~4`Nm*&hJ*ffsr>f# zNCN_V6=;uz^RwGKVyt$7mZ1*dg5b|gH2z>vrhNK@QDctq5ds(0Fk}m4ybdrt7@xZx zML$1W%bG|37>pNOeDmIO(}t8PQw~NP1qNhXA;}u~2(JI`Dwt z3+DxQY8vEWfCs#Z6avpXpeIMrQdduCyns1^*UWsG!Jw@1L^o$6ux3diE(Roj_&&fZ z0v}u)VSE7oYz^~Qq%j}q7B-ycLEs6D2c~yZA-)4Qb%pV11%J Date: Wed, 17 Apr 2024 16:10:16 -0400 Subject: [PATCH 03/59] add test viz --- code/viz.R | 68 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 68 insertions(+) create mode 100644 code/viz.R diff --git a/code/viz.R b/code/viz.R new file mode 100644 index 0000000..ac3ed50 --- /dev/null +++ b/code/viz.R @@ -0,0 +1,68 @@ +# Basic visualization for checking +# Library and system +library(arrow) +library(dplyr) +library(ggplot2) +library(hubData) + +# Load data +tasks_json <- jsonlite::fromJSON("hub-config/tasks.json", + simplifyDataFrame = FALSE) +schema <- hubData::create_hub_schema(tasks_json) +schema <- c(schema$fields, + arrow::Field$create("run_grouping", arrow::int64()), + arrow::Field$create("stochastic_run", arrow::int64())) +schema <- arrow::schema(schema) +# partition <- "model_id" +partition <- c("model_id", "origin_date", "target") + +data <- arrow::open_dataset("data-processed/", partitioning = partition, + schema = schema) %>% + dplyr::filter(origin_date == "2024-04-28")#, grepl("2020-05-01", scenario_id)) + +# Sample ----- +test <- dplyr::filter(data, output_type == "sample") %>% + dplyr::collect() +test$output_type_id <- as.numeric(as.factor(paste0(test$run_grouping, "-", + test$stochastic_run))) +test <- dplyr::select(test, -run_grouping, -stochastic_run) +test <- janitor::remove_empty(test, which = c("rows", "cols")) +gc() +# Identify each individual group +tasksid_col_names <- grep("output_type|value|horizon|model_id", names(test), + invert = TRUE, value = TRUE) +test <- dplyr::group_by(test, dplyr::pick(tasksid_col_names)) %>% + dplyr::mutate(group_tag = dplyr::cur_group_id()) +test_tag <- unique(test$group_tag) +if (length(test_tag) > 40) { + tag_sel <- sample(test_tag, 40) + test <- dplyr::filter(dplyr::ungroup(test), group_tag %in% tag_sel) +} +# Graph +ggplot2::ggplot(test, ggplot2::aes(horizon, value, group = output_type_id, + color = model_id)) + + ggplot2::geom_line() + + ggplot2::facet_wrap(vars(group_tag, model_id), labeller = "label_both") + + +# Quantile ----- +test <- dplyr::filter(data, output_type == "quantile", + output_type_id == 0.5) %>% + dplyr::collect() +test <- dplyr::select(test, -run_grouping, -stochastic_run) +test <- janitor::remove_empty(test, which = c("rows", "cols")) +# Identify each individual group +tasksid_col_names <- grep("output_type|value|horizon|model_id", names(test), + invert = TRUE, value = TRUE) +test <- dplyr::group_by(test, dplyr::pick(tasksid_col_names)) %>% + dplyr::mutate(group_tag = dplyr::cur_group_id()) +test_tag <- unique(test$group_tag) +if (length(test_tag) > 40) { + tag_sel <- sample(test_tag, 40) + test <- dplyr::filter(dplyr::ungroup(test), group_tag %in% tag_sel) +} +ggplot2::ggplot(test, ggplot2::aes(horizon, value, group = model_id, + color = model_id)) + + ggplot2::geom_line() + + ggplot2::facet_wrap(~group_tag, labeller = "label_both") + From ba74dde6f3a0ed6c90a9dab94eb63f625fb554e0 Mon Sep 17 00:00:00 2001 From: LucieContamin Date: Thu, 18 Apr 2024 10:41:50 -0400 Subject: [PATCH 04/59] update validation --- code/validation.R | 18 ++++++++++++------ 1 file changed, 12 insertions(+), 6 deletions(-) diff --git a/code/validation.R b/code/validation.R index 48c4d82..82aa3d1 100644 --- a/code/validation.R +++ b/code/validation.R @@ -12,8 +12,8 @@ pr_files_name <- pr_files_name[!"removed" == purrr::map(pr_files, "status")] pr_sub_files <- stringr::str_extract(pr_files_name, "data-processed/.+/\\d{4}-\\d{2}-\\d{2}(-.*)?") -pr_sub_files <- unique(pr_sub_files) -if (grepl(".pqt$|.parquet$", pr_sub_files)) { +pr_sub_files <- unique(na.omit(pr_sub_files)) +if (any(grepl(".pqt$|.parquet$", pr_sub_files))) { partition = NULL } else { partition = c("origin_date", "target") @@ -47,8 +47,12 @@ if (length(pr_sub_files) > 0) { url_link <- URLdecode(pr_sub_files_lst[[x]]$raw_url) download.file(url_link, basename(url_link)) } else { + file_part <- paste0(getwd(), "/part_sub/", + pr_sub_files_lst[[x]]$filename) + if (!(dir.exists(dirname(file_part)))) + dir.create(dirname(file_part), recursive = TRUE) url_link <- pr_sub_files_lst[[x]]$raw_url - download.file(url_link, pr_sub_files_lst[[x]]$filename) + download.file(url_link, file_part) } }) # run validation @@ -59,12 +63,14 @@ if (length(pr_sub_files) > 0) { } if (is.null(partition)) { val_path <- basename(pr_sub_files_group) + round_id <- NULL } else { - val_path <- dirname(pr_sub_files_group) + val_path <- paste0(getwd(), "/part_sub/", dirname(pr_sub_files_group)) + round_id <- sub_file_date } arg_list <- list(path = val_path, js_def = js_def_file, lst_gs = lst_gs, pop_path = pop_path, merge_sample_col = merge_col, - partition = partition) + partition = partition, round_id = round_id) test <- capture.output(try(do.call(SMHvalidation::validate_submission, arg_list))) if (length(grep("Run validation on fil", test, invert = TRUE)) == 0) { @@ -100,7 +106,7 @@ if (length(pr_sub_files) > 0) { "validation was run."))) } - # Post validation results as comment on the open PR +# Post validation results as comment on the open PR test_valid <- purrr::map(test_tot, "valid") message <- purrr::map(test_valid, paste, collapse = "\n") From e40030842787db48518e8bae3f2214ea72db26ff Mon Sep 17 00:00:00 2001 From: LucieContamin Date: Thu, 18 Apr 2024 10:59:51 -0400 Subject: [PATCH 05/59] update validation for abstract/metadata update --- code/validation.R | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/code/validation.R b/code/validation.R index 82aa3d1..03386fd 100644 --- a/code/validation.R +++ b/code/validation.R @@ -13,6 +13,7 @@ pr_sub_files <- stringr::str_extract(pr_files_name, "data-processed/.+/\\d{4}-\\d{2}-\\d{2}(-.*)?") pr_sub_files <- unique(na.omit(pr_sub_files)) +pr_sub_files <- grep("(A|a)bstract", pr_sub_files, value = TRUE, invert = TRUE) if (any(grepl(".pqt$|.parquet$", pr_sub_files))) { partition = NULL } else { @@ -40,6 +41,9 @@ if (length(pr_sub_files) > 0) { pr_sub_files_lst <- pr_files[grepl(pr_sub_files_group, purrr::map(pr_files, "filename"))] + pr_sub_files_lst <- + pr_sub_files_lst[!grepl("(A|a)bstract", + purrr::map(pr_sub_files_lst, "filename"))] # run validation on all files test_tot <- lapply(seq_len(length(pr_sub_files_lst)), function(x) { # submission file download From 4513e37cebdab38014eb7f100cd44043f3159ae0 Mon Sep 17 00:00:00 2001 From: LucieContamin Date: Thu, 18 Apr 2024 11:18:51 -0400 Subject: [PATCH 06/59] rm temp code --- code/example_ensemble.R | 243 ------------ code/example_process.R | 128 ------- code/temp_calc_ens.R | 809 ---------------------------------------- 3 files changed, 1180 deletions(-) delete mode 100644 code/example_ensemble.R delete mode 100644 code/example_process.R delete mode 100644 code/temp_calc_ens.R diff --git a/code/example_ensemble.R b/code/example_ensemble.R deleted file mode 100644 index bd78d8c..0000000 --- a/code/example_ensemble.R +++ /dev/null @@ -1,243 +0,0 @@ -rm(list = ls()) -print(paste0("TOTAL Process start:", Sys.time())) -library(arrow) -library(magrittr) -library(dplyr) - -# Function ------- - -#' Calculate LOP Ensemble(s) for peak targets -#' -#' Calculate LOP Ensemble (trimmed or untrimmed, with weight or not) for both -#' peak size hosp and peak time hosp by using -#' `CombineDistributions::aggregate_cdfs()`. The input file should match the -#' expected input format of this function. -#' -#' @param df_peak data frame containing the peak target information to calculate -#' ensemble on, the data frame should be in the expected format -#' @param weighting_scheme string to indicate how to weight in the aggregate ( -#' see function documentation) -#' @param n_trim integer denoting the number of models to trim ( -#' see function documentation). If NA, no trim applied -#' @param weight.df data frame containing the weight information by team-model, -#' should have 2 columns: `model_name` and `weight`. -#' @param ens_group character vector of group of column on which to calculate -#' the ensemble (for example, aggregate by scenario, target, horizon, location, -#' and age group for the FLU projections) -#' -#' @details -#' The function returns a data frame in the SMH standard format -#' -#' -#' @importFrom dplyr filter arrange mutate select -#' @importFrom CombineDistributions aggregate_cdfs -peak_ensemble <- function(df_peak, weighting_scheme, n_trim, weight.df, - ens_group, id_var = "model_name") { - - df_peak_time <- dplyr::filter(df_peak, grepl("time", target)) %>% - dplyr::arrange(target_end_date) - df_peak_size <- dplyr::filter(df_peak, grepl("size", target)) - if (is.na(n_trim)) { - df_lop_peak_time <- CombineDistributions::aggregate_cdfs( - df_peak_time, id_var = id_var, - group_by = ens_group, method = "LOP", weighting_scheme = weighting_scheme, - weights = weight.df, ret_quantiles = NA, reorder_quantiles = FALSE, - ret_values = unique(df_peak_time$target_end_date)) %>% - dplyr::mutate(target_end_date = value, - value = quantile, - output_type_id = make_epiweek(target_end_date), - output_type = "cdf", - horizon = NA) %>% - dplyr::select(-quantile, -target_end_date) - df_lop_peak_size <- CombineDistributions::aggregate_cdfs( - df_peak_size, id_var = id_var, - group_by = ens_group, method = "LOP", weighting_scheme = weighting_scheme, - weights = weight.df, ret_quantiles = unique(df_peak_size$quantile), - ret_values = NA) %>% - dplyr::mutate(horizon = NA, - output_type = "quantile", - output_type_id = quantile) %>% - dplyr::select(-quantile) - } else { - df_lop_peak_time <- CombineDistributions::aggregate_cdfs( - df_peak_time, id_var = id_var, - group_by = ens_group, method = "LOP", weighting_scheme = weighting_scheme, - n_trim = n_trim, ret_quantiles = NA, reorder_quantiles = FALSE, - ret_values = unique(df_peak_time$target_end_date)) %>% - dplyr::mutate(target_end_date = value, - value = quantile, - output_type_id = make_epiweek(target_end_date), - output_type = "cdf", - horizon = NA) %>% - dplyr::select(-quantile, -target_end_date) - df_lop_peak_size <- CombineDistributions::aggregate_cdfs( - df_peak_size, id_var = id_var, - group_by = ens_group, method = "LOP", weighting_scheme = weighting_scheme, - n_trim = n_trim, ret_quantiles = unique(df_peak_size$quantile), - ret_values = NA) %>% - dplyr::mutate(horizon = NA, - output_type = "quantile", - output_type_id = quantile) %>% - dplyr::select(-quantile) - } - df_lop_peak <- rbind(df_lop_peak_size, df_lop_peak_time) - return(df_lop_peak) -} - -# Prerequisite ----- -list_quantiles <- c(0.01, 0.025, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, - 0.45, 0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8, 0.85, 0.9, - 0.95, 0.975, 0.99) -# vector of quantile value to integrate in the calculation of the ensemble - -ens_group <- c("scenario_id", "target", "horizon", "origin_date", "location", - "age_group") -# group of column on which to calculate the ensemble (for example, aggregate -# by scenario, target, horizon (target_end_date), location, -# and age group for the FLU projections) -quantile_vect = list_quantiles -peak_group = c("origin_date", "scenario_id", "location", "target", - "age_group", "output_type_id") -all_target <- c("peak time hosp", "peak size hosp", "inc hosp", "cum hosp", - "inc death", "cum death") - -schema <- hubData::create_hub_schema(hubUtils::read_config(".", "tasks")) -schema <- c(schema$fields, - arrow::Field$create("run_grouping", arrow::int64()), - arrow::Field$create("stochastic_run", arrow::int64())) -schema <- arrow::schema(schema) - -source("code/utils.R") -source("code/temp_calc_ens.R") - -# Calculate Ensemble ------ -message("# Quantile ensemble") -print(paste0("Process quantile ensemble start:", Sys.time())) -df <- hubData::connect_model_output("output-processed/", - partition_names = c("model_id", - "origin_date", "target", - "location"), - file_format = "parquet", - schema = schema) %>% - dplyr::filter(origin_date == "2024-04-28", output_type == "quantile") %>% - dplyr::collect() %>% - dplyr::select(-run_grouping, -stochastic_run) %>% - janitor::remove_empty(which = c("rows", "cols")) - -ens_func = function(x, y) { - matrixStats::weightedMedian(x, w = y, na.rm = TRUE) } - -weight.df = data.frame( - model_id = unique(df$model_id), - weight = 1) - -df$output_type_id <- as.numeric(df$output_type_id) - -time_ens <- system.time({ - df_hv <- hubData::as_model_out_tbl(df) - ens <- hubEnsembles::simple_ensemble(df_hv, weight.df, agg_fun = "median") - ens <- dplyr::select(ens, -model_id) -}) -print("Time Ensemble:") -print(time_ens) -time_ens_lop <- system.time({ - df_lop <- ensemble_lop(df, list_quantiles, - weights = weight.df, - weighting_scheme = "cdf_exterior", - n_trim = 2, ens_group = ens_group, - id_var = "model_id") - -}) -print("Time Ensemble LOP:") -print(time_ens_lop) -time_ens_lop_un <- system.time({ - df_unlop <- ensemble_lop(df, list_quantiles, weights = weight.df, - weighting_scheme = "user_defined", - n_trim = NA, ens_group = ens_group, - id_var = "model_id") -}) -print("Time Ensemble LOP untrimmed:") -print(time_ens_lop_un) -print(paste0("Process quantile ensemble stop:", Sys.time())) - -# Peak ensemble -message("# Peak ensemble") -print(paste0("Process peak ensemble start:", Sys.time())) -df <- hubData::connect_model_output("output-processed/", - partition_names = c("model_id", - "origin_date", "target", - "location"), - file_format = "parquet", - schema = schema) %>% - dplyr::filter(origin_date == "2024-04-28", grepl("peak", target)) %>% - dplyr::collect() %>% - dplyr::select(-run_grouping, -stochastic_run, -race_ethnicity) - - -# Peak time -df_time <- dplyr::filter(df, grepl("peak time", target)) %>% - dplyr::mutate( - quantile = value, - target_end_date = MMWRweek::MMWRweek2Date( - as.numeric(substr(gsub("EW", "", output_type_id), 1, 4)), - as.numeric(substr(gsub("EW", "", output_type_id), 5, 6)), 7 - ), - value = as.numeric(MMWRweek::MMWRweek2Date( - as.numeric(substr(gsub("EW", "", output_type_id), 1, 4)), - as.numeric(substr(gsub("EW", "", output_type_id), 5, 6)), 7 - ))) %>% - dplyr::arrange(target_end_date) -# Peak size -df_size <- dplyr::filter(df, grepl("peak size", target), - !is.na(output_type_id)) %>% - dplyr::arrange(output_type_id) %>% - dplyr::filter(output_type_id %in% list_quantiles) %>% - dplyr::mutate(quantile = output_type_id, - target_end_date = as.Date(NA)) -# All -df_peak <- rbind(df_time, df_size) -df_lop_peak <- peak_ensemble(df_peak, weighting_scheme = "cdf_exterior", - n_trim = 2, weight.df = weight.df, - ens_group = ens_group, id_var = "model_id") -df_unlop_peak <- peak_ensemble(df_peak, weighting_scheme = "user_defined", - n_trim = NA, weight.df = weight.df, - ens_group = ens_group, id_var = "model_id") - -print(paste0("Process peak ensemble stop:", Sys.time())) - -# Write output -if (!dir.exists("output-processed/Ensemble/")) - dir.create("output-processed/Ensemble/") -print("Write Ensemble ...") -print(head(ens)) -arrow::write_dataset(ens, paste0("output-processed/Ensemble/"), - partitioning = c("origin_date", "target", "location"), - hive_style = FALSE, compression = "gzip", - compression_level = 9, - basename_template = "Ensemble{i}.gz.parquet") - -df_lop_tot <- rbind(df_lop, df_lop_peak) -if (!dir.exists("output-processed/Ensemble_LOP/")) - dir.create("output-processed/Ensemble_LOP/") -print("Write Ensemble LOP ...") -print(head(df_lop_tot)) -arrow::write_dataset(df_lop_tot, paste0("output-processed/Ensemble_LOP/"), - partitioning = c("origin_date", "target", "location"), - hive_style = FALSE, compression = "gzip", - compression_level = 9, - basename_template = "Ensemble_LOP{i}.gz.parquet") - -df_unlop_tot <- rbind(df_unlop, df_unlop_peak) -if (!dir.exists("output-processed/Ensemble_LOP_untrimmed/")) - dir.create("output-processed/Ensemble_LOP_untrimmed/") -print("Write Ensemble LOP untrimmed ...") -print(head(df_unlop_tot)) -arrow::write_dataset(df_unlop_tot, - paste0("output-processed/Ensemble_LOP_untrimmed/"), - partitioning = c("origin_date", "target", "location"), - hive_style = FALSE, compression = "gzip", - compression_level = 9, - basename_template = "Ensemble_LOP_untrimmed{i}.gz.parquet") - -print(paste0("TOTAL Process stop:", Sys.time())) -rm(list = ls()) diff --git a/code/example_process.R b/code/example_process.R deleted file mode 100644 index 38bea48..0000000 --- a/code/example_process.R +++ /dev/null @@ -1,128 +0,0 @@ -rm(list = ls()) -library(arrow) -library(magrittr) -library(dplyr) - -# Prerequisite ----- -list_quantiles <- c(0.01, 0.025, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, - 0.45, 0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8, 0.85, 0.9, - 0.95, 0.975, 0.99) -# vector of quantile value to integrate in the calculation of the ensemble - -group_column <- c("scenario_id", "target", "origin_date", "location", - "model_name", "horizon") -# group of column defining individual groups (for example, expect to have -# one projection per scenario, target, horizon (target_end_date), location, -# model and age group for the FLU projections) - -ens_group <- c("scenario_id", "target", "horizon", "origin_date", "location", - "age_group") -# group of column on which to calculate the ensemble (for example, aggregate -# by scenario, target, horizon (target_end_date), location, -# and age group for the FLU projections) - -cumul_group = c("origin_date", "scenario_id", "location", "target", - "output_type", "output_type_id", "age_group") -quant_group = c("origin_date", "scenario_id", "location", "target", - "horizon", "age_group") -quantile_vect = list_quantiles -peak_group = c("origin_date", "scenario_id", "location", "target", - "age_group", "output_type_id") -all_target <- c("peak time hosp", "peak size hosp", "inc hosp", "cum hosp", - "inc death", "cum death") - -schema <- arrow::schema( - "origin_date" = arrow::string(), - "target" = arrow::string(), - "model_name" = arrow::string(), - "scenario_id" = arrow::string(), - "location" = arrow::string(), - "horizon" = arrow::int64(), - "age_group" = arrow::string(), - "output_type" = arrow::string(), - "output_type_id" = arrow::string(), - "value" = arrow::float(), - "run_grouping" = arrow::int64(), - "stochastic_run" = arrow::int64() -) -source("code/utils.R") -source("code/temp_calc_ens.R") - -# Add missing value ------ -list_team <- grep("README", dir("data-processed/"), value = TRUE, invert = TRUE) -lapply(list_team, function(x) { - a_time <- system.time({ - print("###########") - test <- - arrow::open_dataset("data-processed/", - partitioning = c("model_name", "origin_date", - "target"), - factory_options = list(exclude_invalid_files = TRUE), - schema = schema) %>% - dplyr::filter(origin_date == "2024-04-28", output_type == "sample", - model_name == x) %>% - dplyr::collect() - - df_team <- test %>% - dplyr::mutate_if(is.factor, as.character) %>% - dplyr::mutate(origin_date = as.Date(origin_date)) - - df_team <- dplyr::mutate( - df_team, - output_type_id = ifelse( - output_type == "sample", - as.numeric(as.factor(paste0(run_grouping, "-", stochastic_run))), - output_type_id)) - df_team <- dplyr::select(df_team, -run_grouping, -stochastic_run, - -model_name) - - ## Weekly incident and cumulative target --- - df_all <- - make_quantiles(df_team, - quant_group = c("origin_date", "scenario_id", "location", - "target", "horizon", - "age_group"), - cumul_group = c("origin_date", "scenario_id", - "location", "target", "output_type", - "output_type_id", - "age_group"), - keep_cumul = TRUE) - - ## Peak target ---- - # Time - peak_time_target <- grep("peak time", all_target, value = TRUE) - df_all <- calculate_peak_time( - df_team, df_all, x, peak_group = peak_group, - peak_time_target = peak_time_target) - - # Peak size - peak_size_target <- grep("peak size", all_target, value = TRUE) - df_all <- calculate_peak_size( - df_team, df_all, x, peak_size_target = peak_size_target, - peak_group = peak_group, quantile_vect = quantile_vect) - - # Standardization - df_all <- dplyr::mutate(df_all, origin_date = as.Date(origin_date), - value = ifelse(output_type == "sample", - round(value, 1), value)) - - # Write and check output with 'SMHvalidation' package - write_path <- paste0("output-processed/", x, "/") - if (!dir.exists(write_path)) dir.create(write_path, recursive = TRUE) - arrow::write_dataset(df_all, write_path, - existing_data_behavior = "overwrite", - partitioning = c("origin_date", "target", "location"), - hive_style = FALSE, compression = "gzip", - compression_level = 9, - basename_template = paste0(x, - "{i}.gz.parquet")) - SMHvalidation::validate_submission( - write_path, js_def = "hub-config/tasks.json", lst_gs = NULL, - pop_path = "data-locations/locations.csv", merge_sample_col = FALSE, - partition = c("origin_date", "target", "location"), n_decimal = 1) - }) - print(x) - print(a_time) - NULL -}) -rm(list = ls()) diff --git a/code/temp_calc_ens.R b/code/temp_calc_ens.R deleted file mode 100644 index 1527030..0000000 --- a/code/temp_calc_ens.R +++ /dev/null @@ -1,809 +0,0 @@ -# ensemble_preprocess ########################################################## -#' Aggregate submission files with model name -#' -#' Read all the files in a path containing the model ordered by folder. -#' Aggregate them all in one data frame and add one columns with model name -#' (extracted from the file name inputted) -#' -#' @param list_files, list of path to files to read (files should be in the SMH -#' standard format) -#' @param loc_dictionary_name named vector, with the location name as value and -#' corresponding FIPS (or US for US level) as associated names. -#' @param location2number named vector, with the FIPS (or US for US level) as -#' value and corresponding names as associated names. -#' -#' @details Both named vectors are used to verify that the `location` column -#' is correctly filled. -#' The `model_name` is created by extraction the value from the file(s) name(s) -#' inputted in the parameter `list_files`. The file should be called: -#' "DATE-MODELNAME.csv" (zip, gz and pqt files are also accepted) -#' -#' @noRd -#' @importFrom dplyr filter mutate select -#' @importFrom purrr reduce -#' @importFrom stats setNames -list_model <- function(list_files, loc_dictionary_name, location2number) { - lst_ds <- lapply(list_files, function(y) { - df <- read_files(y) - df <- dplyr::filter(df, !is.na(output_type_id), - output_type == "quantile") %>% - dplyr::mutate( - output_type_id = round(as.numeric(output_type_id), 3), - origin_date = as.Date(origin_date), - model_name = gsub( - ".{4}-.{2}-.{2}-|.csv|.zip|.gz|.pqt|.parquet|(-)?quantile", "", - basename(y)), - location_name = loc_dictionary_name[as.character(location)], - location = ifelse(nchar(location) == 1, paste0("0", location), - location)) %>% - dplyr::mutate(location2 = location2number[location_name]) - if (!(all(df$location == df$location2))) - stop("Location translation error, please check `location` column") - df %>% dplyr::select(-location_name, -location2) - }) - lst_ds <- setNames(lst_ds, basename(list_files)) - lst_model <- purrr::reduce(lst_ds, rbind) %>% - dplyr::mutate(value = round(value, 10)) - return(lst_model) -} - -#' Filter Models by quantiles -#' -#' Remove models that does not provide all the expected number of quantiles -#' required in the Scenario Modeling Hub (SMH) standard and add a `round` column -#' -#' @param df data frame containing all the submissions -#' @param group_column character vector, names of the column to "group_by" the -#' df to calculate the number of quantiles in the submission. See Details' for -#' more information -#' @param n_quantile numeric, expected number of quantiles -#' @param scenario_sel named vector with scenario_id as value and round -#' information corresponding as name. For example, "A-2021-11-09" value, with -#' "round10" as name. -#' -#' @details The 'group_column' parameter is used to estimate the number -#' of quantiles in the submission. For example, the SMH standard contains 23 -#' quantiles per each group of scenario, target, location and model. In this -#' case, the `group_column` parameter can be set to `c("scenario_id", -#' "scenario_name", "target", "target_end_date", "location", "model_name")`, and -#' the `n_quantile` parameter can be set to `23`. \cr\cr -#' A column `round` is also added to the output, it allows to detect submission -#' with projection for past round scenario. -#' @noRd -#' -#' @importFrom dplyr group_by across mutate filter select ungroup -filter_quantiles <- function(df, group_column, n_quantile, scenario_sel) { - df_model_ensemble <- df %>% - # dplyr::group_by(all_of(group_column)) %>% - dplyr::group_by(across({{ group_column }})) %>% - dplyr::mutate(sel = ifelse(length(output_type_id) == n_quantile, 1, 0)) %>% - dplyr::filter(sel == 1) %>% - dplyr::mutate(round = names(scenario_sel[which( - scenario_sel %in% scenario_id)])) %>% - dplyr::select(-sel) %>% - dplyr::ungroup() - - if (dim(df_model_ensemble)[[1]] != dim(df)[[1]]) - print("Input submission filtered - missing quantiles") - - return(df_model_ensemble) -} - -#' Flag non-shared projection dates -#' -#' Flag the model projection date that are not common in all the models -#' projections. -#' -#' @param df data frame containing all the submissions -#' @noRd -#' @importFrom dplyr select distinct group_by summarize mutate ungroup -flag_ncdate <- function(df) { - sel_df <- df %>% - dplyr::select(horizon, model_name, round) %>% - dplyr::distinct() %>% - dplyr::group_by(horizon, round) %>% - dplyr::summarize(n_model = dplyr::n(), .groups = "drop") %>% - dplyr::group_by(round) %>% - dplyr::mutate(sel = ifelse(n_model == max(n_model), 0 ,1)) %>% - dplyr::ungroup() - return(sel_df) -} - - -#' Filter non-shared projection dates -#' -#' Remove the model projection date that are not shared by all the models -#' projections. -#' -#' @param df data frame containing all the submissions -#' @noRd -#' @importFrom dplyr filter bind_rows -filter_dates <- function(df) { - sel_df <- flag_ncdate(df) - round_n <- unique(sel_df$round) - sel_df <- dplyr::filter(sel_df, sel == 1) - df_model_ensemble <- lapply(round_n, function(x) { - df_ens <- dplyr::filter(df, round == x) - sel_ndate <- sel_df[which(sel_df$round == x), "horizon", TRUE] - df_ens <- df_ens[which(!(df_ens$horizon %in% sel_ndate)), ] - }) %>% dplyr::bind_rows() - - if (dim(df_model_ensemble)[[1]] != dim(df)[[1]]) - print("Input submission filtered - rm uncommun date") - - return(df_model_ensemble) -} - - -#' Prepare Submission for Ensemble Calculation -#' -#' Regroup all the submissions for a specific round of the Scenario Modeling -#' Hub (SMH) in one data frame that is filtered to conserved only the required -#' target, quantiles and possibility exclude one or multiple models (not -#' providing all the required quantiles, or by name), and select the projection -#' dates shared between all the submissions. -#' -#' @param path path to the folder containing all the submissions sub-floder -#' @param round_path path the a csv with round information. NUll by default -#' @param round numeric to select data for a specific round number, round number -#' should be written like "1", "5", ... and the parameter `round_path` should -#' be filled too. If NULL (default), all round selected -#' @param excl_model string character, name of the model to exclude. If -#' multiple, please write as "model1|model2". By default, NULL (no exclusion) -#' @param req_target character vector, names of the required targets -#' @param list_quantiles vector of the required quantiles -#' @param group_column character vector, names of the column to "group_by" the -#' data frame of all submissions to calculate the number of quantiles in each -#' group. See Details' for more information -#' @param scenario_sel named vector with scenario_id as value and round -#' information corresponding as name. For example, "A-2021-11-09" value, with -#' "round10" as name. -#' @param loc_dictionary_name named vector, with the location name as value and -#' corresponding FIPS (or US for US level) as associated names. -#' @param location2number named vector, with the FIPS (or US for US level) as -#' value and corresponding names as associated names. -#' @param name_quantile Boolean, if TRUE includes only file with "quantile." in -#' the name of the file. -#' -#' -#' @details The 'group_column' parameter is used to estimate the number -#' of quantiles in each group in all the submission. For example, the SMH -#' standard contains 23 quantiles per each group of scenario, target, location -#' and model. In this case, the `group_column` parameter can be set to -#' `c("scenario_id", "scenario_name", "target", "target_end_date", "location", -#' "model_name")` -#' and the `list_quantiles` should be a vector of 23 values. \cr\cr -#' A column `round` is added to the output, it allows to detect submission -#' with projection for past round scenario. To identify the round/scenario -#' information, the paramet `scenario_sel` is used. \cr\cr -#' Both named vectors (`loc_dictionary_name` and `location2number`) are used to -#' verify that the `location` column is correctly filled. -#' -#' @export -#' @importFrom dplyr filter distinct arrange -ensemble_preprocess <- function(path, round, round_path, excl_model, req_target, - list_quantiles, group_column, scenario_sel, - loc_dictionary_name, location2number, - name_quantile = FALSE) { - # List of files to read per round - name_model <- path_files(path, ensemble = FALSE, round_path = round_path, - round = round, name_quantile = name_quantile) - # Files exclusion if necessary - if (!is.null(excl_model)) { - name_model <- grep(excl_model, name_model, value = TRUE, invert = TRUE) - } - # Read, process all submissions - df_model <- list_model(name_model, loc_dictionary_name, location2number) - # Keep only required targets - df_model <- dplyr::filter(df_model, - grepl(paste(req_target, collapse = "|"), target)) - print(unique(df_model$target)) # to be removed - # Filter only required quantiles and common projection dates - df_model <- dplyr::filter(df_model, output_type_id %in% list_quantiles) - - df_model_ensemble <- filter_quantiles( - df_model, group_column, n_quantile = length(list_quantiles), - scenario_sel = scenario_sel) %>% - filter_dates() %>% - dplyr::distinct() %>% - dplyr::arrange(scenario_id, model_name, target, output_type_id, location) - # Print name of the model(s) included in the output - print(paste0("Model(s) included in the output: ", - paste(unique(df_model_ensemble$model_name), collapse = ", "))) - return(df_model_ensemble) -} - -# calculate_ensemble ########################################################### -#' Apply function on a specific quantile -#' -#' For a specific quantile, summarize all the models value by applying the -#' function inputted in the parameter `ens_func`, the function should take 2 -#' parameters: "value" (1st) and "weight" (2nd). For more information, please -#' see details. -#' -#' @param df data frame to summarize -#' @param quantile numeric, specific quantile to filter and summarize on -#' @param type string, type of the quantile (either "point" or "quantile") -#' @param quantile_name numeric, value of the quantile -#' @param ens_func function to apply (should have 2 parameters) -#' -#' @details The ensemble functions is applied on 2 parameters: value (1st) and -#' weight (2nd) so the input `df` should have at least these columns, the -#' quantile column and both target_end_date and target columns. \cr -#' The inputted data frame can also be grouped by other columns -#' but the groups will be dropped after summarizing. \cr -#' An example of function that can be used to calculate the ensemble is: -#' ``` -#' ens_func <- function(x, y) matrixStats::weightedMedian(x, y, na.rm = TRUE) -#' ``` -#' \cr\cr -#' After applying the function, some columns are added to have a data frame -#' output following the Scenario Modeling Hub standard. We add: `type`, -#' `quantile` and `model_projection_date` columns. They are created by using -#' the parameter `type`, `quantile_name`. -#' -#' @noRd -#' @importFrom dplyr filter summarize ungroup mutate -#' @importFrom rlang !! -ensemble_quantile <- function(df, quantile, type, quantile_name, ens_func) { - - df <- df %>% - dplyr::filter(output_type_id == !!quantile) %>% - dplyr::summarize(value = ens_func(value, weight), .groups = "drop") %>% - dplyr::ungroup() #%>% - - df[, "output_type"] <- type - df[, "output_type_id"] <- quantile_name - return(df) -} - -#' Calculate Ensembles by quantile -#' -#' For each quantile, summarize all the models value on a grouped by data frame -#' by applying the function inputted in the parameter `ens_func`. The function -#' should take 2 parameters: "value" (1st) and "weight" (2nd). For more -#' information, please see details. -#' -#' @param df data frame to summarize -#' @param ens_func function to apply (should have 2 parameters) -#' @param ens_group vector of column names to `group_by` the data frame `df` -#' @param weight.df data frame containing the weight column information, will be -#' join with `df` and the `weight ` column will be used as second parameter in -#' the `ens_func`. -#' -#' @details The ensemble functions is applied on 2 parameters: value (1st) and -#' weight (2nd) so the inputs `df` and `weight.df` (will be left_join in the -#' function) should have at least the columns `value` and `weight` and a common -#' column to join them. \cr -#' The inputted data frame can also be grouped by multiple columns inputted in -#' the `ens_group` parameter. The groups will be dropped after summarizing. \cr -#' An example of function that can be used to calculate the ensemble is: -#' ``` -#' ens_func <- function(x, y) matrixStats::weightedMedian(x, y, na.rm = TRUE) -#' ``` -#' \cr\cr -#' Some columns are required to have a data frame output following the Scenario -#' Modeling Hub standard. Please refer to the documentation on the Scenario -#' Modeling Hub repositories or websites. -#' -#' @importFrom dplyr left_join group_by bind_rows mutate all_of -#' @export -calculate_ensemble <- function(df, ens_func, ens_group, weight.df) { - df <- dplyr::left_join(df, weight.df) %>% - dplyr::group_by(across(all_of(ens_group))) - # dplyr::group_by(across({{ ens_group }})) - df_ensemble <- lapply(unique(df$output_type_id), function(x) { - ensemble_quantile(df, x, "quantile", x, ens_func) - }) %>% dplyr::bind_rows() %>% - dplyr::mutate(output_type_id = round(output_type_id, 3)) -} - -# ensemble_lop ################################################################# -#' Calculate LOP Ensembles by quantile -#' -#' Calculate LOP Ensemble by using the `CombineDistributions` package, and the -#' function `aggregate_cdfs`. For more information, please look at the package -#' documentation. -#' -#' @param df data frame that contains multiple cdfs, grouped by `ens_group` -#' columns. Specify cdf with `quantile` and `value` columns -#' @param list_quantiles vector of quantiles to use for calculation -#' @param weights data frame containing the weight column information -#' @param ens_group vector containing the names of the columns to create unique -#' aggregates for -#' @param weighting_scheme character name of the method for aggregation. -#' @param n_trim integer denoting the number of models to trim -#' -#' @importFrom dplyr ungroup left_join distinct select mutate -#' @importFrom CombineDistributions aggregate_cdfs -#' -#' @export -ensemble_lop <- function(df, list_quantiles, weights, ens_group, - weighting_scheme, n_trim, id_var = "model_name") { - df <- dplyr::ungroup(df) %>% - rename(quantile = output_type_id) - # Calculate LOP - if (is.na(n_trim)) { - df_lop <- CombineDistributions::aggregate_cdfs( - df, id_var = id_var, group_by = ens_group, method = "LOP", - ret_quantiles = list_quantiles, weights = weights, ret_values = NA, - weighting_scheme = weighting_scheme) - } else { - df_lop <- CombineDistributions::aggregate_cdfs( - df, id_var = id_var, group_by = ens_group, method = "LOP", - ret_quantiles = list_quantiles, weighting_scheme = weighting_scheme, - n_trim = n_trim, ret_values = NA) - } - # add missing columns - df_lop <- df_lop %>% - dplyr::mutate( - output_type = "quantile", - output_type_id = round(quantile, 3)) %>% - dplyr::select(-quantile) - - return(df_lop) - -} - -# df_lop_weight ################################################################ -#' Calculate weighted LOP Ensembles by quantile -#' -#' Calculate weighted LOP Ensemble by using the `psSLP` package, and the -#' functions `generate_slp_predictions`, `generate_slp_ensemble`. For more -#' information, please look at the package documentation. -#' -#' @param df data frame that contains multiple cdfs -#' @param weight.df data frame containing the weight column information -#' @param draw_size (default = 2000), an integer value of the number of -#' simulated forecasts to make for each quantile function set [for -#' `generate_slp_predictions` function] -#' @param threads default 4, set integer number of threads to use for parallel -#' processing [for `generate_slp_predictions` function] -#' @param verbose (default = TRUE) a boolean indicator to show verbose status -#' updates during calculation [for `generate_slp_predictions` function] -#' @param parallel (default = "on" )string value either "auto","on","off". By -#' default, the function will run in parallel using half the available threads -#' if the number of gam models to estimates exceeds 1000 (this is "auto") mode. -#' Setting this to "on" ("off") will force parallel processing on ("off") -#' regardless of gam models [for `generate_slp_predictions` function] -#' @param fixed_unif (default = TRUE), if set to TRUE this will ensure that the -#' same set of uniform variates will be drawn for each run of the estimation -#' function; rather than pulling runif(draw_size, unif_range[0], -#' unif_range[1]), this option will pull seq(unif_range[0], unif_range[1], -#' length.out = draw_size) [for `generate_slp_predictions` function] -#' @param byvars default = `c("scenario_id", "target_end_date", "model_name", -#' "outcome")`), a character vector indicating the grouping variables. Each -#' unique group should represent a single quantile function (Q(p)). The -#' calculation is run by location too by default. [for -#' `generate_slp_predictions` function] -#' @param ens_vars (default = `c("scenario_id", "target_end_date", "outcome")`), -#' a character vector indicating the variables that uniquely define a set of -#' predictions. The calculation is run by location too by default. for -#' `generate_slp_ensemble` function] -#' @param output_col (default = `c("scenario_id", "scenario_name", -#' "target", "target_end_date", "location", "value", "type", "quantile", -#' "model_projection_date")`), selection of columns to include in the output. -#' -#' @export -#' @importFrom dplyr select distinct mutate filter left_join bind_rows -#' @importFrom psSLP generate_slp_predictions generate_slp_ensemble -#' @importFrom magrittr %>% -#' @importFrom data.table .SD .N -df_lop_weight <- function(df, weight.df, - draw_size=2000, threads = 4, verbose=T, - parallel ="on", fixed_unif = TRUE, - byvars = c("scenario_id", "horizon", "origin_date", - "model_name", "target"), - ens_vars = c("scenario_id", "horizon", "origin_date", - "target"), - output_col = c("scenario_id", - "target", "horizon", - "location", "value", "type", - "type_id", "origin_date")) { - # prepare information for output - #wk_number <- dplyr::select(df, horizon, target, origin_date) %>% - # dplyr::distinct() %>% - # dplyr::mutate(target_wk = gsub("[^[:digit:]]", "", target)) %>% - # dplyr::select(target_end_date, target_wk) %>% - # dplyr::distinct() - # run by location, outcome - df_lop_pred <- df - df_lop <- lapply(unique(df_lop_pred$location), function(x) { - df_lop_out <- lapply(unique(df_lop_pred$target), function(y) { - print(paste(x, y, collapse = ", ")) #to be removed - df <- dplyr::filter(df_lop_pred, grepl(y, target), location == x) - if (dim(df)[1] > 0) { - preds <- lapply(unique(df$model_name), function(z) { - dfmod <- dplyr::filter(df, grepl(paste0("^", z, "$"), model_name)) - draw_size_mod <- draw_size * - weight.df[which(weight.df$model_name == z), "weight"] - print(paste0("Model:", unique(dfmod$model_name), - ", draws:", draw_size_mod)) - if (grepl("cum case", y)) { - preds <- psSLP::generate_slp_predictions( - x = dfmod, qp_var = "value", p_var = "output_type_id", - byvars = byvars, draw_size = draw_size_mod, threads = threads, - verbose = verbose, parallel = parallel, fixed_unif = fixed_unif) - } else { - preds <- psSLP::generate_slp_predictions( - x = dfmod, qp_var = "value", p_var = "output_type_id", - byvars = byvars, draw_size = draw_size_mod, threads = threads, - verbose = verbose, parallel = parallel, fixed_unif = fixed_unif, - model_configuration = list(type = "gam", - gam_con = list("family" = "poisson"))) - } - }) %>% dplyr::bind_rows() - preds <- dplyr::left_join(preds, weight.df, by = "model_name") - if (length(unique(preds$model_name)) > 1) { - trim_level <- 2 / (unique(preds[, .(model_name, - weight)])[, sum(weight)]) - } else { - trim_level <- 0 - } - trimmed_ensemble <- psSLP::generate_slp_ensemble( - preds, qp_var = "predictions", trim = trim_level, - byvars = ens_vars) - } else { - trimmed_ensemble <- NULL - } - gc() - return(trimmed_ensemble) - }) %>% dplyr::bind_rows() - df_lop_out <- dplyr::mutate( - df_lop_out, - location = as.character(x), - output_type = "quantile", - value = predictions) %>% - dplyr::select(!!output_col) - }) %>% dplyr::bind_rows() - return(df_lop) -} - -# write_ensemble ############################################################### -#' Write Ensemble files -#' -#' Write Ensembles output by round information (in CSV or ZIP depending on the -#' size of the output, or PARQUET). If necessary, create the folder -#' corresponding -#' -#' @param df_ensemble Ensemble data frame -#' @param path_model path to the folder containing the Ensemble sub-folder -#' @param ens_name name of the Ensemble (by default "Ensemble") -#' @param ext file extension of the file ("csv" or ".parquet") -#' -#' @details The "Ensemble" object will be store in a CSV (ZIP if the CSV is -#' greater than 100 MB) or PARQUET file, in the sub-folder "Ensemble" in the -#' folder corresponding to the path_model. If the ens_name is change to another -#' name, the name of the file and the sub-folder will correspond to that new -#' name. -#' \cr\cr -#' The Ensemble file name is created by extracting the "model_projection_date" -#' information in the `df_ensemble`. The file name will be: -#' "`MODEL_PROJECTION_DATE`-`ENS_NAME`.csv". If the Ensemble data frame contains -#' multiple model_projection_date, multiple files will be created: one for each. -#' -#' @importFrom dplyr filter -#' @export -write_ensemble <- function(df_ensemble, path_model, ens_name = "Ensemble", - ext = ".csv") { - lapply(unique(df_ensemble$origin_date), function(x) { - df <- dplyr::filter(df_ensemble, grepl(x, origin_date)) - name_file <- paste0(path_model, ens_name, "/", x, "-", ens_name, ext) - if (!dir.exists(paste0(path_model, ens_name, "/"))) { - print(paste0("Creating Ensemble folder: ", - paste0(path_model, ens_name, "/"))) - dir.create(paste0(path_model, ens_name, "/")) - } - write_files(df, name_file, ext = ext) - }) -} -# Functions -------------------------------------------------------------------- - -#' Calculate the epiweek in "EWYYYWW" format -#' -#' For a specific date or a vector of date, calculate the epiweek in a -#' "EWYYYYWW" format -#' -#' @param date date or vector of date to transform -#' -#' @export -#' @importFrom MMWRweek MMWRweek -make_epiweek <- function(date) { - epi_date <- MMWRweek::MMWRweek(date) - epi_year <- epi_date[["MMWRyear"]] - epi_week <- as.character(epi_date[["MMWRweek"]]) - epi_week <- ifelse(nchar(epi_week) < 2, paste0(0, epi_week), epi_week) - epi_info <- paste0("EW", epi_year, epi_week) - return(epi_info) -} - -#' Calculate missing optional target value -#' -#' For rounds with samples output_type, the cumulative trajectories are not -#' expected and the quantiles are also not expected. This function test for -#' weekly incident and cumulative target if all the possible values -#' are presents and if not generate them for a specific team_model projection -#' -#' @param df_team model projection of a team-model -#' @param weekly_targ_name vector of weekly incident, cummulative target name -#' @param team_model name of the team-model -#' @param cumul_group character vector of column names to 'group_by' the -#' input data frame to calculate the cumulatives trajectories for each group -#' @param quant_group character vector of column names to 'group_by' the input -#' data frame to calculate the quantiles for each group -#' @param quantile_vect numeric vector of probabilities with values in [0,1], -#' to produce quantiles corresponding to the given probabilities -#' -#' @details -#' ## Weekly incident and cumulative target --- -#' For each target (hosp or death), check that both sample and -#' quantiles information are available: -#' 1. if sample target(s) is missing: -#' - if cumulative is missing: calculates from incident trajectories -#' - if incident: returns a warning message and doesn't calculate cumulative -#' sample and quantiles -#' 2. if quantiles target(s) is missing: -#' - calculates missing quantiles from associated trajectories -#' 3. aggregate all -#' -#' @importFrom ScenarioModelingHub.data path_file make_quantiles -#' @importFrom dplyr filter bind_rows -calculate_inccum_weekly <- function( - df_team, weekly_targ_name, team_model, - cumul_group = c("origin_date", "scenario_id", "location", "target", - "output_type", "output_type_id", "age_group"), - quant_group = c("origin_date", "scenario_id", "location", "target", - "horizon", "age_group"), - quantile_vect = c(0.01, 0.025, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, - 0.45, 0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8, 0.85, 0.9, - 0.95, 0.975, 0.99)) { - - lst_all <- lapply(weekly_targ_name, function(targ) { - df_targ <- dplyr::filter(df_team, grepl(paste0("(inc|cum) ", targ), target)) - # Test sample first - df_targ_sample <- dplyr::filter(df_targ, output_type == "sample") - if (nrow(df_targ_sample) < 1) { - warning("The submission file from: ", team_model, - " is missing sample for the target: ", targ, - ". The missing values cannot be calculated.") - return(df_targ) - } else { - if (!any(grepl("cum ", df_targ_sample$target))) { - message("The submission file from: ", team_model, - " is missing cumulative sample the target: ", targ, - ". The missing value will be calculated.") - # Calculate cumulative - # - Sample - inc_sample_targ <- dplyr::filter(df_targ_sample, - target == paste0("inc ", targ)) - df_targ_sample <- ScenarioModelingHub.Data::make_quantiles( - inc_sample_targ, quant_group = NULL, quantile_vect = NULL, - cumul_group = cumul_group) - } - } - # Test quantile - df_targ_quantile <- dplyr::filter(df_targ, output_type == "quantile") - if (nrow(df_targ_quantile) < 1) { - message("The submission file from: ", team_model, - " is missing all quantiles for the target: ", targ, - ". The missing value will be calculated.") - df_all_targ <- ScenarioModelingHub.Data::make_quantiles( - df_targ_sample, quant_group = quant_group, - quantile_vect = quantile_vect, cumul_group = NULL) - } else { - if (any(grepl("cum", df_targ_quantile$target)) & - any(grepl("inc", df_targ_quantile$target))) { - message("The submission file from: ", team_model, " contains all the ", - "quantiles for the target: ", targ) - df_all_targ <- rbind(df_targ_quantile, df_targ_sample) - } else { - inc_sample_targ <- dplyr::filter(df_targ_sample, - target == paste0("inc ", targ)) - cum_sample_targ <- dplyr::filter(df_targ_sample, - target == paste0("cum ", targ)) - # Incidence - if (!any(grepl("inc", df_targ_quantile$target))) { - message("The submission file from: ", team_model, - " is missing incident quantiles for the target: ", targ, - ". The missing value will be calculated.") - df_targ_inc <- ScenarioModelingHub.Data::make_quantiles( - inc_sample_targ, quant_group = quant_group, - quantile_vect = quantile_vect, cumul_group = NULL) - } else { - df_targ_inc <- rbind(inc_sample_targ, - dplyr::filter(df_targ_quantile, - target == paste0("inc ", targ))) - } - # Cumulative - if (!any(grepl("cum", df_targ_quantile$target))) { - message("The submission file from: ", team_model, - " is missing cumulative quantiles for the target: ", targ, - ". The missing value will be calculated.") - df_targ_cum <- ScenarioModelingHub.Data::make_quantiles( - cum_sample_targ, - quant_group = c("origin_date", "scenario_id", "location", "target", - "horizon", "age_group"), - quantile_vect = quantile_vect, cumul_group = NULL) - } else { - df_targ_cum <- rbind(cum_sample_targ, - dplyr::filter(df_targ_quantile, - target == paste0("cum ", targ))) - } - df_all_targ <- rbind(df_targ_cum, df_targ_inc) - } - } - return(df_all_targ) - }) - df_all <- dplyr::bind_rows(lst_all) - return(df_all) -} - -#' Calculate missing peak time -#' -#' For rounds with samples output_type, the peak time hosp target is optional. -#' This function test for if peak time hosp is present in a specific team_model -#' submission and if not generate them -#' -#' @param df_team model projection of a team-model (as submitted) -#' @param df_all model projection of a team-model (with samples and quantiles) -#' to append the results, NULL for no data to append -#' @param team_model name of the team-model -#' @param peak_time_target target name as in the submission file -#' @param peak_group character vector of column names to 'group_by' the input -#' data frame to calculate the peak time hospitalization target for each group -#' -#' @details -#' Generates missing target from incident hospitalization trajectories by -#' calculating cumulative probability of peak across the complete time series. -#' For each trajectories, the horizon of the maximum incident hospitalization -#' is extracted. -#' For each horizon: calculate the average of how many trajectories have peaked -#' on this week (for example: 45 trajectories on 100 trajectories have peaked on -#' horizon 4) (probability of peak). -#' Calculate the cumulative probability of peak across trajectories: -#' following previous example cumulative on horizon 4 = (45/100 + cumulative -#' probability on horizon 3) -#' -#' @importFrom dplyr filter group_by across all_of mutate ungroup bind_rows -calculate_peak_time <- function( - df_team, df_all, team_model, peak_time_target = "peak time hosp", - peak_group = c("origin_date", "scenario_id", "location", "target", - "age_group", "output_type_id")) { - - df_time_target <- dplyr::filter(df_team, target == peak_time_target) - if (nrow(df_time_target) < 1) { - df_inc_sample <- dplyr::filter(df_team, output_type == "sample", - target == "inc hosp", age_group == "0-130") %>% - dplyr::mutate(output_type_id = as.numeric(output_type_id), - origin_date = as.Date(origin_date)) - if (nrow(df_inc_sample) < 1) { - warning("Missing inc hosp sample to calculate peak time hosp.") - df_all <- df_all - } else { - message("The submission file from: ", team_model, - " is missing value for the target: ", peak_time_target, - ". The missing value will be calculated.") - - df_time <- dplyr::group_by(df_inc_sample, across(all_of(peak_group))) %>% - mutate(sel = ifelse(max(value) == value, horizon, NA)) %>% - mutate(sel2 = ifelse(all(value == max(value)), 0, 1)) %>% - filter(sel2 != 0) %>% - filter(!is.na(sel)) %>% arrange(horizon) %>% - mutate(sel3 = ifelse(duplicated(output_type_id), 0, 1)) %>% - filter(sel3 == 1) %>% select(-contains("sel")) %>% - ungroup() - - lst_time <- split(df_time, list(df_time$scenario_id, df_time$location, - df_time$age_group, df_time$target), - drop = TRUE) - peak_time <- lapply(lst_time, function(dft) { - df_epitime <- NULL - if (nrow(dft) != 300) { - print("No. Peaks != 300") - print(head(dft)) - print(nrow(dft)) - } - for (i in 1:max(df_inc_sample$horizon, na.rm = TRUE)) { - peak_prob = nrow(dplyr::filter(dft, horizon == i)) / nrow(dft) - if (!is.null(df_epitime)) { - peak_cum <- filter(df_epitime, horizon == i - 1) %>% .$value - peak_cum <- peak_cum + peak_prob - } else { - peak_cum <- peak_prob - } - if (peak_cum >= 1) peak_cum <- 1 - date <- MMWRweek::MMWRweek( - unique(dft$origin_date) + (i * 7) - 1) - if (nchar(date$MMWRweek) < 2) { - date <- paste0("EW", date$MMWRyear, "0", date$MMWRweek) - } else { - date <- paste0("EW", date$MMWRyear, date$MMWRweek) - } - df_epi <- distinct( - dft[, grep("output_type", peak_group, value = TRUE, - invert = TRUE)]) %>% - mutate(horizon = i, - output_type = "cdf", - output_type_id = date, - value = peak_cum, - target = peak_time_target) - df_epitime <- rbind(df_epi, df_epitime) - } - df_epitime$horizon <- NA - return(df_epitime) - }) %>% bind_rows() - df_all <- dplyr::mutate(df_all, origin_date = as.Date(origin_date)) - df_all <- rbind(df_all, peak_time) - } - } else { - message("The submission file from: ", team_model, - " contains value for the target: ", peak_time_target) - df_all <- rbind(df_all, df_time_target) - } - return(df_all) -} - - -#' Calculate missing peak size -#' -#' For rounds with samples output_type, the peak size hosp target is optional. -#' This function test for if peak size hosp is present in a specific team_model -#' submission and if not generate them -#' -#' @param df_team model projection of a team-model (as submitted) -#' @param df_all model projection of a team-model (with samples and quantiles) -#' to append the results, NULL for no data to append -#' @param team_model name of the team-model -#' @param peak_size_target target name as in the submission file -#' @param peak_group character vector of column names to 'group_by' the input -#' data frame to calculate the peak size hospitalization target for each group -#' @param quantile_vect numeric vector of probabilities with values in [0,1], -#' to produce quantiles corresponding to the given probabilities -#' -#' @details -#' Generates missing target from incident hospitalization trajectories by -#' extracting the max incident hospitalization value for each trajectories and -#' then generates the quantiles distribution of the max valua across all -#' trajectories. -#' -#' @importFrom dplyr filter group_by across all_of mutate ungroup bind_rows -calculate_peak_size <- function( - df_team, df_all, team_model, peak_size_target = "peak size hosp", - peak_group = c("origin_date", "scenario_id", "location", "target", - "age_group", "output_type_id"), - quantile_vect = c(0.01, 0.025, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, - 0.45, 0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8, 0.85, 0.9, - 0.95, 0.975, 0.99)) { - - df_size_target <- dplyr::filter(df_team, target == peak_size_target) - if (nrow(df_size_target) < 1) { - df_inc_sample <- dplyr::filter(df_team, output_type == "sample", - target == "inc hosp", age_group == "0-130") - if (nrow(df_inc_sample) < 1) { - warning("Missing inc hosp sample to calculate peak size hosp.") - df_all <- df_all - } else { - message("The submission file from: ", team_model, - " is missing value for the target: ", peak_size_target, - ". The missing value will be calculated.") - df_size <- dplyr::group_by(df_inc_sample, across(all_of(peak_group))) %>% - dplyr::summarise(max = max(value)) %>% - dplyr::ungroup() %>% - reframe( - value = quantile(max, quantile_vect), - output_type = "quantile", - output_type_id = quantile_vect, - .by = all_of(grep("output_type", peak_group, value = TRUE, - invert = TRUE))) %>% - mutate(horizon = NA, - target = peak_size_target) - } - df_all <- rbind(df_all, df_size) - } else { - message("The submission file from: ", team_model, - " contains value for the target: ", peak_size_target) - df_all <- rbind(df_all, df_size_target) - } - - return(df_all) -} From 6c3052be45bafffc9a28d605a05976b91ef05fa8 Mon Sep 17 00:00:00 2001 From: LucieContamin Date: Thu, 18 Apr 2024 11:22:22 -0400 Subject: [PATCH 07/59] update GH for testing --- .../workflows/install_cache_dependencies.yml | 4 ++-- .github/workflows/validation.yml | 20 ++++++++++--------- 2 files changed, 13 insertions(+), 11 deletions(-) diff --git a/.github/workflows/install_cache_dependencies.yml b/.github/workflows/install_cache_dependencies.yml index c434f3b..2d80820 100644 --- a/.github/workflows/install_cache_dependencies.yml +++ b/.github/workflows/install_cache_dependencies.yml @@ -32,7 +32,7 @@ jobs: R -e 'Sys.setenv("NOT_CRAN" = TRUE) install.packages(c("arrow", "gh", "remotes")) Sys.unsetenv("NOT_CRAN") - remotes::install_url("https://github.com/midas-network/SMHvalidation/archive/refs/heads/main.zip") + remotes::install_url("https://github.com/midas-network/SMHvalidation/archive/refs/heads/version.zip") remotes::install_url("https://github.com/Infectious-Disease-Modeling-Hubs/hubUtils/archive/refs/heads/main.zip")' - env: + env: GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 20450d5..dd756fc 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -3,7 +3,9 @@ on: pull_request_target: branches: - main - + - equity + paths: + - data-processed/ jobs: validates-files: runs-on: ubuntu-latest @@ -21,12 +23,12 @@ jobs: run: sudo apt-get install libcurl4-openssl-dev libudunits2-dev libgdal-dev - - name: Cache R packages + - name: Cache R packages id: cache - if: runner.os != 'Windows' - uses: actions/cache@v2 - with: - path: ${{ env.R_LIBS_USER }} + if: runner.os != 'Windows' + uses: actions/cache@v2 + with: + path: ${{ env.R_LIBS_USER }} key: ${{ runner.os }}-${{ hashFiles('.github/requirements.txt') }}-1 - name: Install dependencies @@ -35,11 +37,11 @@ jobs: R -e 'Sys.setenv("NOT_CRAN" = TRUE) install.packages(c("arrow", "gh", "remotes")) Sys.unsetenv("NOT_CRAN") - remotes::install_url("https://github.com/midas-network/SMHvalidation/archive/refs/heads/main.zip") + remotes::install_url("https://github.com/midas-network/SMHvalidation/archive/refs/heads/version.zip") remotes::install_url("https://github.com/Infectious-Disease-Modeling-Hubs/hubUtils/archive/refs/heads/main.zip")' - env: + env: GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} - + - name: Run Validation run: | Rscript code/validation.R From 12acfc3e4320b4a5f92fbcf5e92fb9d093863bbd Mon Sep 17 00:00:00 2001 From: LucieContamin Date: Thu, 18 Apr 2024 11:22:22 -0400 Subject: [PATCH 08/59] update GH for testing --- .../workflows/install_cache_dependencies.yml | 4 ++-- .github/workflows/validation.yml | 20 ++++++++++--------- 2 files changed, 13 insertions(+), 11 deletions(-) diff --git a/.github/workflows/install_cache_dependencies.yml b/.github/workflows/install_cache_dependencies.yml index c434f3b..2d80820 100644 --- a/.github/workflows/install_cache_dependencies.yml +++ b/.github/workflows/install_cache_dependencies.yml @@ -32,7 +32,7 @@ jobs: R -e 'Sys.setenv("NOT_CRAN" = TRUE) install.packages(c("arrow", "gh", "remotes")) Sys.unsetenv("NOT_CRAN") - remotes::install_url("https://github.com/midas-network/SMHvalidation/archive/refs/heads/main.zip") + remotes::install_url("https://github.com/midas-network/SMHvalidation/archive/refs/heads/version.zip") remotes::install_url("https://github.com/Infectious-Disease-Modeling-Hubs/hubUtils/archive/refs/heads/main.zip")' - env: + env: GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 20450d5..dd756fc 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -3,7 +3,9 @@ on: pull_request_target: branches: - main - + - equity + paths: + - data-processed/ jobs: validates-files: runs-on: ubuntu-latest @@ -21,12 +23,12 @@ jobs: run: sudo apt-get install libcurl4-openssl-dev libudunits2-dev libgdal-dev - - name: Cache R packages + - name: Cache R packages id: cache - if: runner.os != 'Windows' - uses: actions/cache@v2 - with: - path: ${{ env.R_LIBS_USER }} + if: runner.os != 'Windows' + uses: actions/cache@v2 + with: + path: ${{ env.R_LIBS_USER }} key: ${{ runner.os }}-${{ hashFiles('.github/requirements.txt') }}-1 - name: Install dependencies @@ -35,11 +37,11 @@ jobs: R -e 'Sys.setenv("NOT_CRAN" = TRUE) install.packages(c("arrow", "gh", "remotes")) Sys.unsetenv("NOT_CRAN") - remotes::install_url("https://github.com/midas-network/SMHvalidation/archive/refs/heads/main.zip") + remotes::install_url("https://github.com/midas-network/SMHvalidation/archive/refs/heads/version.zip") remotes::install_url("https://github.com/Infectious-Disease-Modeling-Hubs/hubUtils/archive/refs/heads/main.zip")' - env: + env: GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} - + - name: Run Validation run: | Rscript code/validation.R From 2b42512b957b0b56acae21d5c2a93acad5756d6f Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Thu, 18 Apr 2024 12:11:55 -0400 Subject: [PATCH 09/59] Update validation.yml --- .github/workflows/validation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index dd756fc..3fc91f4 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -5,7 +5,7 @@ on: - main - equity paths: - - data-processed/ + - data-processed/** jobs: validates-files: runs-on: ubuntu-latest From 39d36b2855044d07555b4c7d7a21603abab1ba3e Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Thu, 18 Apr 2024 14:23:56 -0400 Subject: [PATCH 10/59] Update validation.yml --- .github/workflows/validation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 3fc91f4..955a41e 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -8,7 +8,7 @@ on: - data-processed/** jobs: validates-files: - runs-on: ubuntu-latest + runs-on: ubuntu-20.04 steps: - name: Checkout repository From 448e52b04108f9c64f69bd0cc93c5a0900c498db Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Thu, 18 Apr 2024 14:27:49 -0400 Subject: [PATCH 11/59] Update install_cache_dependencies.yml --- .github/workflows/install_cache_dependencies.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/install_cache_dependencies.yml b/.github/workflows/install_cache_dependencies.yml index 2d80820..b8d034d 100644 --- a/.github/workflows/install_cache_dependencies.yml +++ b/.github/workflows/install_cache_dependencies.yml @@ -8,7 +8,7 @@ on: jobs: cache-R-library: - runs-on: ubuntu-latest + runs-on: ubuntu-20.04 steps: - name: Checkout repository From af7da87924b47a02f5fb8ad7a203e7679b82d90c Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Thu, 18 Apr 2024 15:35:02 -0400 Subject: [PATCH 12/59] Update validation.R --- code/validation.R | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/code/validation.R b/code/validation.R index 03386fd..baf18e0 100644 --- a/code/validation.R +++ b/code/validation.R @@ -59,6 +59,7 @@ if (length(pr_sub_files) > 0) { download.file(url_link, file_part) } }) + gc() # run validation if (sub_file_date > "2024-01-01") { merge_col <- TRUE @@ -77,9 +78,11 @@ if (length(pr_sub_files) > 0) { partition = partition, round_id = round_id) test <- capture.output(try(do.call(SMHvalidation::validate_submission, arg_list))) + gc() if (length(grep("Run validation on fil", test, invert = TRUE)) == 0) { test <- try(do.call(SMHvalidation::validate_submission, arg_list)) test <- test[1] + gc() } # Visualization df <- try({ @@ -87,6 +90,7 @@ if (length(pr_sub_files) > 0) { dplyr::filter(output_type == "quantile") %>% dplyr::collect() }) + gc() # print(head(df)) if (all(class(df) != "try-error") && nrow(df) > 0) { test_viz <- try(generate_validation_plots( @@ -96,6 +100,7 @@ if (length(pr_sub_files) > 0) { } else { test_viz <- NA } + gc() if (class(test_viz) == "try-error") file.remove(dir(paste0(getwd(), "/proj_plot"), full.names = TRUE)) # list of the viz and validation results From 0fc3e173fbc098065576daf332921132e2a78afd Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Thu, 18 Apr 2024 16:59:13 -0400 Subject: [PATCH 13/59] Update validation.yml --- .github/workflows/validation.yml | 3 --- 1 file changed, 3 deletions(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 955a41e..f198be8 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -1,9 +1,6 @@ name: Validate Submission(s) on: pull_request_target: - branches: - - main - - equity paths: - data-processed/** jobs: From c2f17758b8568859f79a59198bb30e9b9ad973c2 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Thu, 18 Apr 2024 17:01:46 -0400 Subject: [PATCH 14/59] Update validation.yml --- .github/workflows/validation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index f198be8..4a8089f 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -2,7 +2,7 @@ name: Validate Submission(s) on: pull_request_target: paths: - - data-processed/** + - 'data-processed/**' jobs: validates-files: runs-on: ubuntu-20.04 From da2b921b9952113d6e1c21df2913a94c563a6ec3 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 10:52:21 -0400 Subject: [PATCH 15/59] Update validation.yml --- .github/workflows/validation.yml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 4a8089f..69d797e 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -1,8 +1,10 @@ name: Validate Submission(s) on: pull_request_target: + branches: + - main paths: - - 'data-processed/**' + - 'data-processed/**.parquet' jobs: validates-files: runs-on: ubuntu-20.04 From 65b2910a88e23fd6ec3dece9fc3e45ab0862295c Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 14:06:19 -0400 Subject: [PATCH 16/59] Update validation.yml --- .github/workflows/validation.yml | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 69d797e..19e3ff5 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -3,13 +3,20 @@ on: pull_request_target: branches: - main - paths: - - 'data-processed/**.parquet' + jobs: validates-files: runs-on: ubuntu-20.04 steps: + - name: verify change in data-processed folder + run: | + if [ -n "$( git show --pretty="" --name-only -- data-processed/)" ]; then + echo "Commit includes change in the data-processed folder"; + else + ${{ cancelled() }} + fi + - name: Checkout repository uses: actions/checkout@v3 with: From 5bfaa4f94081ba99ccd01198b343069f05c292e5 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 14:17:05 -0400 Subject: [PATCH 17/59] Update validation.yml --- .github/workflows/validation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 19e3ff5..3457f8a 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -14,7 +14,7 @@ jobs: if [ -n "$( git show --pretty="" --name-only -- data-processed/)" ]; then echo "Commit includes change in the data-processed folder"; else - ${{ cancelled() }} + exit 1 fi - name: Checkout repository From 774f954141c3e5f77d7db530124fcab674ab4fe6 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 14:18:43 -0400 Subject: [PATCH 18/59] Update validation.yml --- .github/workflows/validation.yml | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 3457f8a..842cfcc 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -9,6 +9,12 @@ jobs: runs-on: ubuntu-20.04 steps: + + - name: Checkout repository + uses: actions/checkout@v3 + with: + fetch-depth: 1 + - name: verify change in data-processed folder run: | if [ -n "$( git show --pretty="" --name-only -- data-processed/)" ]; then @@ -16,11 +22,6 @@ jobs: else exit 1 fi - - - name: Checkout repository - uses: actions/checkout@v3 - with: - fetch-depth: 1 - name: Setup R uses: r-lib/actions/setup-r@v2 From 40d51025510d2f29f3efac23c67a2fd53bd74157 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 14:21:39 -0400 Subject: [PATCH 19/59] Update validation.yml --- .github/workflows/validation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 842cfcc..4b32445 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -17,7 +17,7 @@ jobs: - name: verify change in data-processed folder run: | - if [ -n "$( git show --pretty="" --name-only -- data-processed/)" ]; then + if [ -n "$( git show --pretty="" --name-only -- data-processed/ ${{GITHUB_SHA::6}})" ]; then echo "Commit includes change in the data-processed folder"; else exit 1 From 2583bb16eded6df5fd4f77fe7c29e917bfbec3d2 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 14:24:38 -0400 Subject: [PATCH 20/59] Update validation.yml --- .github/workflows/validation.yml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 4b32445..5232e24 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -17,7 +17,10 @@ jobs: - name: verify change in data-processed folder run: | - if [ -n "$( git show --pretty="" --name-only -- data-processed/ ${{GITHUB_SHA::6}})" ]; then + echo "${{ env.branch }}" + echo "git_hash=$(git rev-parse --short "$GITHUB_SHA")" >> $GITHUB_HASH + echo "${{ env.hash }}" + if [ -n "$( git show --pretty="" --name-only -- data-processed/" ]; then echo "Commit includes change in the data-processed folder"; else exit 1 From 9642a9f344cef428eb52b66b281d17c4a4cb6efa Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 14:27:12 -0400 Subject: [PATCH 21/59] Update validation.yml --- .github/workflows/validation.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 5232e24..5cb2bed 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -18,7 +18,6 @@ jobs: - name: verify change in data-processed folder run: | echo "${{ env.branch }}" - echo "git_hash=$(git rev-parse --short "$GITHUB_SHA")" >> $GITHUB_HASH echo "${{ env.hash }}" if [ -n "$( git show --pretty="" --name-only -- data-processed/" ]; then echo "Commit includes change in the data-processed folder"; From e223afeead269d9cfbdbe80f85f2944bb72a2a6d Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 14:33:36 -0400 Subject: [PATCH 22/59] Update validation.yml --- .github/workflows/validation.yml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 5cb2bed..64df374 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -15,12 +15,18 @@ jobs: with: fetch-depth: 1 + - name: Show GitHub context + env: + GITHUB_CONTEXT: ${{ toJson(github) }} + run: echo "$GITHUB_CONTEXT" + - name: verify change in data-processed folder run: | echo "${{ env.branch }}" echo "${{ env.hash }}" if [ -n "$( git show --pretty="" --name-only -- data-processed/" ]; then echo "Commit includes change in the data-processed folder"; + exit 1 else exit 1 fi From 1fe0fe8f997be3c8e6af7f6b8036479d0530a3cb Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 14:51:29 -0400 Subject: [PATCH 23/59] Update validation.yml --- .github/workflows/validation.yml | 9 +-------- 1 file changed, 1 insertion(+), 8 deletions(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 64df374..661469c 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -15,16 +15,9 @@ jobs: with: fetch-depth: 1 - - name: Show GitHub context - env: - GITHUB_CONTEXT: ${{ toJson(github) }} - run: echo "$GITHUB_CONTEXT" - - name: verify change in data-processed folder run: | - echo "${{ env.branch }}" - echo "${{ env.hash }}" - if [ -n "$( git show --pretty="" --name-only -- data-processed/" ]; then + if [ -n "$( git show --pretty="" --name-only -- data-processed/" ${{ github.sha }}]; then echo "Commit includes change in the data-processed folder"; exit 1 else From 8e456e550cfe70be5452175c25a88df2aefd769f Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 14:55:35 -0400 Subject: [PATCH 24/59] Update validation.yml --- .github/workflows/validation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 661469c..cb57021 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -19,8 +19,8 @@ jobs: run: | if [ -n "$( git show --pretty="" --name-only -- data-processed/" ${{ github.sha }}]; then echo "Commit includes change in the data-processed folder"; - exit 1 else + echo "No change in the data-processed folder" exit 1 fi From 7f1c728b319ddf0fe11c41828d3a4a912e51f2fa Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 14:58:14 -0400 Subject: [PATCH 25/59] Update validation.yml --- .github/workflows/validation.yml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index cb57021..862236f 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -20,8 +20,7 @@ jobs: if [ -n "$( git show --pretty="" --name-only -- data-processed/" ${{ github.sha }}]; then echo "Commit includes change in the data-processed folder"; else - echo "No change in the data-processed folder" - exit 1 + echo "No change in the data-processed folder"; fi - name: Setup R From e9598efc69443c2bc26b9058c9f9b0e6c445de92 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 15:00:50 -0400 Subject: [PATCH 26/59] Update validation.yml --- .github/workflows/validation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 862236f..5e6b925 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -17,7 +17,7 @@ jobs: - name: verify change in data-processed folder run: | - if [ -n "$( git show --pretty="" --name-only -- data-processed/" ${{ github.sha }}]; then + if [ -n "$( git show --pretty="" --name-only -- data-processed/ ${{ github.sha }}"]; then echo "Commit includes change in the data-processed folder"; else echo "No change in the data-processed folder"; From 56cdcbb3b8048f4a3fe1b6aff8d518821242776e Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 15:01:58 -0400 Subject: [PATCH 27/59] Update validation.yml --- .github/workflows/validation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 5e6b925..964f4ad 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -17,7 +17,7 @@ jobs: - name: verify change in data-processed folder run: | - if [ -n "$( git show --pretty="" --name-only -- data-processed/ ${{ github.sha }}"]; then + if [ -n "$( git show --pretty="" --name-only -- data-processed/ ${{ github.sha }})"]; then echo "Commit includes change in the data-processed folder"; else echo "No change in the data-processed folder"; From aaaa6a5945ea1f66e575bea30c58807ae48d3e08 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 15:07:59 -0400 Subject: [PATCH 28/59] Update validation.yml --- .github/workflows/validation.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 964f4ad..275faf0 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -21,6 +21,7 @@ jobs: echo "Commit includes change in the data-processed folder"; else echo "No change in the data-processed folder"; + exit 1 fi - name: Setup R From 0e68979dbdf411fb0ef676c64b6d45aad93bb9c1 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 15:10:50 -0400 Subject: [PATCH 29/59] Update validation.yml --- .github/workflows/validation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 275faf0..efcf80a 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -21,7 +21,7 @@ jobs: echo "Commit includes change in the data-processed folder"; else echo "No change in the data-processed folder"; - exit 1 + exit 0 fi - name: Setup R From 2bf8f8fd79948ae1270f2666e3be3d4d4b1ced66 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 15:25:26 -0400 Subject: [PATCH 30/59] Update validation.yml --- .github/workflows/validation.yml | 11 ++++++++--- 1 file changed, 8 insertions(+), 3 deletions(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index efcf80a..21eb26f 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -16,31 +16,35 @@ jobs: fetch-depth: 1 - name: verify change in data-processed folder + id: change-check run: | if [ -n "$( git show --pretty="" --name-only -- data-processed/ ${{ github.sha }})"]; then echo "Commit includes change in the data-processed folder"; else echo "No change in the data-processed folder"; - exit 0 + echo "skipnext=true" >> $GITHUB_OUTPUT fi - name: Setup R + if: ( steps.change-check.outputs.skipnext != 'true' ) uses: r-lib/actions/setup-r@v2 - name: Install system dependencies + if: ( steps.change-check.outputs.skipnext != 'true' ) run: sudo apt-get install libcurl4-openssl-dev libudunits2-dev libgdal-dev - name: Cache R packages id: cache - if: runner.os != 'Windows' + if: ( steps.change-check.outputs.skipnext != 'true' ) uses: actions/cache@v2 with: path: ${{ env.R_LIBS_USER }} key: ${{ runner.os }}-${{ hashFiles('.github/requirements.txt') }}-1 - name: Install dependencies - if: steps.cache.outputs.cache-hit != 'true' + if: | + steps.cache.outputs.cache-hit != 'true' && steps.change-check.outputs.skipnext != 'true' run: | R -e 'Sys.setenv("NOT_CRAN" = TRUE) install.packages(c("arrow", "gh", "remotes")) @@ -51,6 +55,7 @@ jobs: GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} - name: Run Validation + if : ( steps.change-check.outputs.skipnext != 'true' ) run: | Rscript code/validation.R env: From 78d92ad95ebba8d9d01cf5d70faaa1a84c989fcd Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 15:31:02 -0400 Subject: [PATCH 31/59] Update validation.yml --- .github/workflows/validation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 21eb26f..d05821e 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -18,7 +18,7 @@ jobs: - name: verify change in data-processed folder id: change-check run: | - if [ -n "$( git show --pretty="" --name-only -- data-processed/ ${{ github.sha }})"]; then + if [ -n "$( git show --pretty="" --name-only -- data-processed/ ${{ github.sha }})" ]; then echo "Commit includes change in the data-processed folder"; else echo "No change in the data-processed folder"; From 064066f2165dc442defa13fcf9b489e745965b47 Mon Sep 17 00:00:00 2001 From: LucieContamin Date: Fri, 19 Apr 2024 15:45:49 -0400 Subject: [PATCH 32/59] add validation on open PR --- .github/workflows/validation_open.yml | 54 +++++++++++++++++++++++++++ 1 file changed, 54 insertions(+) create mode 100644 .github/workflows/validation_open.yml diff --git a/.github/workflows/validation_open.yml b/.github/workflows/validation_open.yml new file mode 100644 index 0000000..3526fff --- /dev/null +++ b/.github/workflows/validation_open.yml @@ -0,0 +1,54 @@ +name: Validate Submission - Open PR +on: + pull_request_target: + types: [opened, reopened] + branches: + - main + +jobs: + validates-files: + runs-on: ubuntu-20.04 + + steps: + + - name: Checkout repository + uses: actions/checkout@v3 + with: + fetch-depth: 1 + + - name: Setup R + if: ( steps.change-check.outputs.skipnext != 'true' ) + uses: r-lib/actions/setup-r@v2 + + - name: Install system dependencies + if: ( steps.change-check.outputs.skipnext != 'true' ) + run: sudo apt-get install libcurl4-openssl-dev libudunits2-dev libgdal-dev + + + - name: Cache R packages + id: cache + if: ( steps.change-check.outputs.skipnext != 'true' ) + uses: actions/cache@v2 + with: + path: ${{ env.R_LIBS_USER }} + key: ${{ runner.os }}-${{ hashFiles('.github/requirements.txt') }}-1 + + - name: Install dependencies + if: | + steps.cache.outputs.cache-hit != 'true' && steps.change-check.outputs.skipnext != 'true' + run: | + R -e 'Sys.setenv("NOT_CRAN" = TRUE) + install.packages(c("arrow", "gh", "remotes")) + Sys.unsetenv("NOT_CRAN") + remotes::install_url("https://github.com/midas-network/SMHvalidation/archive/refs/heads/version.zip") + remotes::install_url("https://github.com/Infectious-Disease-Modeling-Hubs/hubUtils/archive/refs/heads/main.zip")' + env: + GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} + + - name: Run Validation + if : ( steps.change-check.outputs.skipnext != 'true' ) + run: | + Rscript code/validation.R + env: + GH_PR_NUMBER: ${{ github.event.pull_request.number }} + GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} From 55ed0aa6d3af04d332f63ee1f4601e291f93dafa Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 15:47:56 -0400 Subject: [PATCH 33/59] Update validation.yml --- .github/workflows/validation.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index d05821e..fae3548 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -1,6 +1,7 @@ name: Validate Submission(s) on: pull_request_target: + types: [edited, synchronized] branches: - main From 71d803f2c58ca8021fce69516f3baaaabb19a1cb Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 15:50:08 -0400 Subject: [PATCH 34/59] Update validation.yml --- .github/workflows/validation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index fae3548..782df10 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -1,7 +1,7 @@ name: Validate Submission(s) on: pull_request_target: - types: [edited, synchronized] + types: [edited, synchronize] branches: - main From 75ae44ed773c0fb314bfc28a4c43a802c8d1e393 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 15:50:26 -0400 Subject: [PATCH 35/59] Update validation.yml --- .github/workflows/validation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 782df10..c516dae 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -1,7 +1,7 @@ name: Validate Submission(s) on: pull_request_target: - types: [edited, synchronize] + types: [synchronize] branches: - main From 1dd42ebb15635b76977bbe860308fbdf774368a7 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 15:51:29 -0400 Subject: [PATCH 36/59] Update validation_open.yml --- .github/workflows/validation_open.yml | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/.github/workflows/validation_open.yml b/.github/workflows/validation_open.yml index 3526fff..32e2c7a 100644 --- a/.github/workflows/validation_open.yml +++ b/.github/workflows/validation_open.yml @@ -17,25 +17,21 @@ jobs: fetch-depth: 1 - name: Setup R - if: ( steps.change-check.outputs.skipnext != 'true' ) uses: r-lib/actions/setup-r@v2 - name: Install system dependencies - if: ( steps.change-check.outputs.skipnext != 'true' ) run: sudo apt-get install libcurl4-openssl-dev libudunits2-dev libgdal-dev - name: Cache R packages id: cache - if: ( steps.change-check.outputs.skipnext != 'true' ) uses: actions/cache@v2 with: path: ${{ env.R_LIBS_USER }} key: ${{ runner.os }}-${{ hashFiles('.github/requirements.txt') }}-1 - name: Install dependencies - if: | - steps.cache.outputs.cache-hit != 'true' && steps.change-check.outputs.skipnext != 'true' + if: ( steps.cache.outputs.cache-hit != 'true' ) run: | R -e 'Sys.setenv("NOT_CRAN" = TRUE) install.packages(c("arrow", "gh", "remotes")) @@ -46,7 +42,6 @@ jobs: GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} - name: Run Validation - if : ( steps.change-check.outputs.skipnext != 'true' ) run: | Rscript code/validation.R env: From 32be2ff9951e31c9e57b18e2227d71a71db7df16 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 16:07:50 -0400 Subject: [PATCH 37/59] Update validation.yml --- .github/workflows/validation.yml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index c516dae..304a927 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -19,7 +19,9 @@ jobs: - name: verify change in data-processed folder id: change-check run: | - if [ -n "$( git show --pretty="" --name-only -- data-processed/ ${{ github.sha }})" ]; then + check=${git show --pretty="" --name-only -- data-processed/ ${{ github.sha }}} + echo $check + if [ $check -ge 1 ]; then echo "Commit includes change in the data-processed folder"; else echo "No change in the data-processed folder"; From 078def6f54dcd9cad06aa7256837b7a1f9774f18 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 16:15:56 -0400 Subject: [PATCH 38/59] Update validation.yml --- .github/workflows/validation.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 304a927..6a9fb31 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -19,9 +19,9 @@ jobs: - name: verify change in data-processed folder id: change-check run: | - check=${git show --pretty="" --name-only -- data-processed/ ${{ github.sha }}} + check=$(git show --pretty="" --name-only -- data-processed/ ${{ github.sha }}) echo $check - if [ $check -ge 1 ]; then + if [[ ${#check} -ge 1 ]]; then echo "Commit includes change in the data-processed folder"; else echo "No change in the data-processed folder"; From 0bec0fa63c1346d83c25d9aaeef66fed2a0021ce Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 16:32:07 -0400 Subject: [PATCH 39/59] Update validation.yml --- .github/workflows/validation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 6a9fb31..bbc4eff 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -19,7 +19,7 @@ jobs: - name: verify change in data-processed folder id: change-check run: | - check=$(git show --pretty="" --name-only -- data-processed/ ${{ github.sha }}) + check=$(git show --pretty="" --name-only -- data-processed/ ${{ github.event.pull_request.head.sha }}) echo $check if [[ ${#check} -ge 1 ]]; then echo "Commit includes change in the data-processed folder"; From 16d06caf657c2b1c1cd9d43263c992ce0a80d794 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 16:39:10 -0400 Subject: [PATCH 40/59] Update validation.yml --- .github/workflows/validation.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index bbc4eff..a60caa0 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -4,6 +4,8 @@ on: types: [synchronize] branches: - main + paths: + - 'data-processed/**.parquet' jobs: validates-files: From d55031a3cab0fb57ae5e2905335743137b579797 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 16:49:37 -0400 Subject: [PATCH 41/59] Update validation.yml --- .github/workflows/validation.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index a60caa0..e8314b9 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -66,3 +66,4 @@ jobs: env: GH_PR_NUMBER: ${{ github.event.pull_request.number }} GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + GH_COMMIT_SHA: ${{ github.event.pull_request.head.sha }} From 4b8b1fab26d8acfba15967546bc35aee822acf1e Mon Sep 17 00:00:00 2001 From: LucieContamin Date: Fri, 19 Apr 2024 16:50:55 -0400 Subject: [PATCH 42/59] update validation --- code/validation.R | 215 ++++++++++++++++++++++++---------------------- 1 file changed, 114 insertions(+), 101 deletions(-) diff --git a/code/validation.R b/code/validation.R index baf18e0..a2e4b64 100644 --- a/code/validation.R +++ b/code/validation.R @@ -2,117 +2,130 @@ library(SMHvalidation) library(gh) library(dplyr) -# check if submissions file -pr_files <- gh::gh(paste0("GET /repos/", - "midas-network/example_round-scenariohub/pulls/", - Sys.getenv("GH_PR_NUMBER"), "/files")) - -pr_files_name <- purrr::map(pr_files, "filename") -pr_files_name <- pr_files_name[!"removed" == purrr::map(pr_files, "status")] -pr_sub_files <- - stringr::str_extract(pr_files_name, - "data-processed/.+/\\d{4}-\\d{2}-\\d{2}(-.*)?") -pr_sub_files <- unique(na.omit(pr_sub_files)) -pr_sub_files <- grep("(A|a)bstract", pr_sub_files, value = TRUE, invert = TRUE) -if (any(grepl(".pqt$|.parquet$", pr_sub_files))) { - partition = NULL +# Check if validation need to run +test <- gh::gh(paste0("GET /repos/", + "midas-network/example_round-scenariohub/commits/", + Sys.getenv("GH_COMMIT_SHA"))) +print(unique(unlist(purrr::map(test$files, "filename")))) +check <- grepl("data-processed/", unique(unlist(purrr::map(test$files, + "filename")))) +if (isFALSE(check)) { + test_tot <- + list(list(valid = paste0("No projection submission file in the standard ", + "SMH file format found in the Pull-Request. No ", + "validation was run."))) } else { - partition = c("origin_date", "target") -} -pop_path <- "data-locations/locations.csv" -js_def_file <- "hub-config/tasks.json" -lst_gs <- NULL + # check if submissions file + pr_files <- gh::gh(paste0("GET /repos/", + "midas-network/example_round-scenariohub/pulls/", + Sys.getenv("GH_PR_NUMBER"), "/files")) -# Run validation on file corresponding to the submission file format -if (length(pr_sub_files) > 0) { - team_name <- unique(basename(dirname(pr_sub_files))) - sub_file_date <- unique(stringr::str_extract(basename(pr_sub_files), - "\\d{4}-\\d{2}-\\d{2}")) - if (!(dir.exists(paste0(getwd(), "/proj_plot")))) - dir.create(paste0(getwd(), "/proj_plot")) - if (is.null(partition)) { - group_files <- paste0(sub_file_date, "-", team_name) + pr_files_name <- purrr::map(pr_files, "filename") + pr_files_name <- pr_files_name[!"removed" == purrr::map(pr_files, "status")] + pr_sub_files <- + stringr::str_extract(pr_files_name, + "data-processed/.+/\\d{4}-\\d{2}-\\d{2}(-.*)?") + pr_sub_files <- unique(na.omit(pr_sub_files)) + pr_sub_files <- grep("(A|a)bstract", pr_sub_files, value = TRUE, invert = TRUE) + if (all(grepl(".pqt$|.parquet$", pr_sub_files))) { + partition = NULL } else { - group_files <- sub_file_date + partition = c("origin_date", "target") } - test_tot <- lapply(group_files, function(y) { - # select submission files - pr_sub_files_group <- grep(y, pr_sub_files, value = TRUE) + pop_path <- "data-locations/locations.csv" + js_def_file <- "hub-config/tasks.json" + lst_gs <- NULL - pr_sub_files_lst <- pr_files[grepl(pr_sub_files_group, - purrr::map(pr_files, "filename"))] - pr_sub_files_lst <- - pr_sub_files_lst[!grepl("(A|a)bstract", - purrr::map(pr_sub_files_lst, "filename"))] - # run validation on all files - test_tot <- lapply(seq_len(length(pr_sub_files_lst)), function(x) { - # submission file download - if (is.null(partition)) { - url_link <- URLdecode(pr_sub_files_lst[[x]]$raw_url) - download.file(url_link, basename(url_link)) - } else { - file_part <- paste0(getwd(), "/part_sub/", - pr_sub_files_lst[[x]]$filename) - if (!(dir.exists(dirname(file_part)))) - dir.create(dirname(file_part), recursive = TRUE) - url_link <- pr_sub_files_lst[[x]]$raw_url - download.file(url_link, file_part) - } - }) - gc() - # run validation - if (sub_file_date > "2024-01-01") { - merge_col <- TRUE - } else { - merge_col <- FALSE - } + # Run validation on file corresponding to the submission file format + if (length(pr_sub_files) > 0) { + team_name <- unique(basename(dirname(pr_sub_files))) + sub_file_date <- unique(stringr::str_extract(basename(pr_sub_files), + "\\d{4}-\\d{2}-\\d{2}")) + if (!(dir.exists(paste0(getwd(), "/proj_plot")))) + dir.create(paste0(getwd(), "/proj_plot")) if (is.null(partition)) { - val_path <- basename(pr_sub_files_group) - round_id <- NULL + group_files <- paste0(sub_file_date, "-", team_name) } else { - val_path <- paste0(getwd(), "/part_sub/", dirname(pr_sub_files_group)) - round_id <- sub_file_date + group_files <- sub_file_date } - arg_list <- list(path = val_path, js_def = js_def_file, lst_gs = lst_gs, - pop_path = pop_path, merge_sample_col = merge_col, - partition = partition, round_id = round_id) - test <- capture.output(try(do.call(SMHvalidation::validate_submission, - arg_list))) - gc() - if (length(grep("Run validation on fil", test, invert = TRUE)) == 0) { - test <- try(do.call(SMHvalidation::validate_submission, arg_list)) - test <- test[1] + test_tot <- lapply(group_files, function(y) { + # select submission files + pr_sub_files_group <- grep(y, pr_sub_files, value = TRUE) + pr_sub_files_lst <- pr_files[grepl(pr_sub_files_group, + purrr::map(pr_files, "filename"))] + pr_sub_files_lst <- + pr_sub_files_lst[!grepl("(A|a)bstract", + purrr::map(pr_sub_files_lst, "filename"))] + # run validation on all files + test_tot <- lapply(seq_len(length(pr_sub_files_lst)), function(x) { + # submission file download + if (is.null(partition)) { + url_link <- URLdecode(pr_sub_files_lst[[x]]$raw_url) + download.file(url_link, basename(url_link)) + } else { + file_part <- paste0(getwd(), "/part_sub/", + pr_sub_files_lst[[x]]$filename) + if (!(dir.exists(dirname(file_part)))) + dir.create(dirname(file_part), recursive = TRUE) + url_link <- pr_sub_files_lst[[x]]$raw_url + download.file(url_link, file_part) + } + }) gc() - } - # Visualization - df <- try({ - arrow::open_dataset(val_path, partitioning = partition) %>% - dplyr::filter(output_type == "quantile") %>% - dplyr::collect() + # run validation + if (sub_file_date > "2024-01-01") { + merge_col <- TRUE + } else { + merge_col <- FALSE + } + if (is.null(partition)) { + val_path <- basename(pr_sub_files_group) + round_id <- NULL + } else { + val_path <- paste0(getwd(), "/part_sub/", dirname(pr_sub_files_group)) + round_id <- sub_file_date + } + arg_list <- list(path = val_path, js_def = js_def_file, lst_gs = lst_gs, + pop_path = pop_path, merge_sample_col = merge_col, + partition = partition, round_id = round_id) + test <- capture.output(try(do.call(SMHvalidation::validate_submission, + arg_list))) + gc() + if (length(grep("Run validation on fil", test, invert = TRUE)) == 0) { + test <- try(do.call(SMHvalidation::validate_submission, arg_list)) + test <- test[1] + gc() + } + # Visualization + df <- try({ + arrow::open_dataset(val_path, partitioning = partition) %>% + dplyr::filter(output_type == "quantile") %>% + dplyr::collect() + }) + gc() + # print(head(df)) + if (all(class(df) != "try-error") && nrow(df) > 0) { + test_viz <- try(generate_validation_plots( + path_proj = val_path, lst_gs = NULL, + save_path = paste0(getwd(), "/proj_plot"), y_sqrt = FALSE, + plot_quantiles = c(0.025, 0.975), partition = partition)) + } else { + test_viz <- NA + } + gc() + if (class(test_viz) == "try-error") + file.remove(dir(paste0(getwd(), "/proj_plot"), full.names = TRUE)) + # list of the viz and validation results + test_tot <- list(valid = test, viz = test_viz) + # returns all output + return(test_tot) }) - gc() - # print(head(df)) - if (all(class(df) != "try-error") && nrow(df) > 0) { - test_viz <- try(generate_validation_plots( - path_proj = val_path, lst_gs = NULL, - save_path = paste0(getwd(), "/proj_plot"), y_sqrt = FALSE, - plot_quantiles = c(0.025, 0.975), partition = partition)) - } else { - test_viz <- NA - } - gc() - if (class(test_viz) == "try-error") - file.remove(dir(paste0(getwd(), "/proj_plot"), full.names = TRUE)) - # list of the viz and validation results - test_tot <- list(valid = test, viz = test_viz) - # returns all output - return(test_tot) - }) -} else { - test_tot <- - list(list(valid = paste0("No projection submission file in the standard ", - "SMH file format found in the Pull-Request. No ", - "validation was run."))) + } else { + test_tot <- + list(list(valid = paste0("No projection submission file in the standard ", + "SMH file format found in the Pull-Request. No ", + "validation was run."))) + } } # Post validation results as comment on the open PR From 7af752660d11dba462d5f67867460d275b33c0c3 Mon Sep 17 00:00:00 2001 From: LucieContamin Date: Fri, 19 Apr 2024 16:57:22 -0400 Subject: [PATCH 43/59] fix validation check --- code/validation.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/code/validation.R b/code/validation.R index a2e4b64..0a0e005 100644 --- a/code/validation.R +++ b/code/validation.R @@ -9,7 +9,7 @@ test <- gh::gh(paste0("GET /repos/", print(unique(unlist(purrr::map(test$files, "filename")))) check <- grepl("data-processed/", unique(unlist(purrr::map(test$files, "filename")))) -if (isFALSE(check)) { +if (isFALSE(all(check))) { test_tot <- list(list(valid = paste0("No projection submission file in the standard ", "SMH file format found in the Pull-Request. No ", From 9372f61e6cfc1643b096d846f40903a8a09542b7 Mon Sep 17 00:00:00 2001 From: LucieContamin Date: Fri, 19 Apr 2024 17:01:12 -0400 Subject: [PATCH 44/59] make validation less verbose --- code/validation.R | 79 +++++++++++++++++++++++------------------------ 1 file changed, 39 insertions(+), 40 deletions(-) diff --git a/code/validation.R b/code/validation.R index 0a0e005..c9f4f91 100644 --- a/code/validation.R +++ b/code/validation.R @@ -10,10 +10,7 @@ print(unique(unlist(purrr::map(test$files, "filename")))) check <- grepl("data-processed/", unique(unlist(purrr::map(test$files, "filename")))) if (isFALSE(all(check))) { - test_tot <- - list(list(valid = paste0("No projection submission file in the standard ", - "SMH file format found in the Pull-Request. No ", - "validation was run."))) + test_tot <- NA } else { # check if submissions file pr_files <- gh::gh(paste0("GET /repos/", @@ -128,46 +125,48 @@ if (isFALSE(all(check))) { } } -# Post validation results as comment on the open PR -test_valid <- purrr::map(test_tot, "valid") -message <- purrr::map(test_valid, paste, collapse = "\n") +if (!all(is.na(test_tot))) { + # Post validation results as comment on the open PR + test_valid <- purrr::map(test_tot, "valid") + message <- purrr::map(test_valid, paste, collapse = "\n") -lapply(seq_len(length(message)), function(x) { - gh::gh(paste0("POST /repos/", "midas-network/megaround-scenariohub/", - "issues/", Sys.getenv("GH_PR_NUMBER"), "/comments"), - body = message[[x]], - .token = Sys.getenv("GH_TOKEN")) -}) + lapply(seq_len(length(message)), function(x) { + gh::gh(paste0("POST /repos/", "midas-network/megaround-scenariohub/", + "issues/", Sys.getenv("GH_PR_NUMBER"), "/comments"), + body = message[[x]], + .token = Sys.getenv("GH_TOKEN")) + }) -# Post visualization results as comment on the open PR -test_viz <- purrr::map(test_tot, "viz") -if (any(!is.na(test_viz))) { - message_plot <- paste0( - "If the submission contains projection file(s) with quantile projection, ", - "a pdf containing visualization plots of the submission is available and ", - "downloadable in the GitHub actions. Please click on 'details' on the ", - "right of the 'Validate submission' checks. The pdf is available in a ZIP ", - "file as an artifact of the GH Actions. For more information, please see ", - "[here](https://docs.github.com/en/actions/managing-workflow-runs/downloading-workflow-artifacts)") + # Post visualization results as comment on the open PR + test_viz <- purrr::map(test_tot, "viz") + if (any(!is.na(test_viz))) { + message_plot <- paste0( + "If the submission contains projection file(s) with quantile projection, ", + "a pdf containing visualization plots of the submission is available and ", + "downloadable in the GitHub actions. Please click on 'details' on the ", + "right of the 'Validate submission' checks. The pdf is available in a ZIP ", + "file as an artifact of the GH Actions. For more information, please see ", + "[here](https://docs.github.com/en/actions/managing-workflow-runs/downloading-workflow-artifacts)") - if (any(unlist(purrr::map(test_viz, class)) == "try-error")) { - message_plot <- capture.output( - cat(message_plot, "\n\n\U000274c Error: ", - "The visualization encounters an issue and might not be available,", - " if the validation does not return any error, please feel free to ", - "tag `@LucieContamin` for any question.")) - } + if (any(unlist(purrr::map(test_viz, class)) == "try-error")) { + message_plot <- capture.output( + cat(message_plot, "\n\n\U000274c Error: ", + "The visualization encounters an issue and might not be available,", + " if the validation does not return any error, please feel free to ", + "tag `@LucieContamin` for any question.")) + } - gh::gh(paste0("POST /repos/", "midas-network/example_round-scenariohub/", - "issues/", Sys.getenv("GH_PR_NUMBER"),"/comments"), - body = message_plot, - .token = Sys.getenv("GH_TOKEN")) -} + gh::gh(paste0("POST /repos/", "midas-network/example_round-scenariohub/", + "issues/", Sys.getenv("GH_PR_NUMBER"),"/comments"), + body = message_plot, + .token = Sys.getenv("GH_TOKEN")) + } -# Validate or stop the github actions -if (any(grepl("(\U000274c )?Error", test_valid))) { - stop("The submission contains one or multiple issues") -} else if (any(grepl("Warning", test_valid))) { - warning(" The submission is accepted but contains some warnings") + # Validate or stop the github actions + if (any(grepl("(\U000274c )?Error", test_valid))) { + stop("The submission contains one or multiple issues") + } else if (any(grepl("Warning", test_valid))) { + warning(" The submission is accepted but contains some warnings") + } } From b1eaca13d52799f57d410f2e7f0d643c08ac572c Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 17:08:48 -0400 Subject: [PATCH 45/59] Update validation.yml --- .github/workflows/validation.yml | 19 +------------------ 1 file changed, 1 insertion(+), 18 deletions(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index e8314b9..4952c3e 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -12,44 +12,28 @@ jobs: runs-on: ubuntu-20.04 steps: - - name: Checkout repository uses: actions/checkout@v3 with: fetch-depth: 1 - - name: verify change in data-processed folder - id: change-check - run: | - check=$(git show --pretty="" --name-only -- data-processed/ ${{ github.event.pull_request.head.sha }}) - echo $check - if [[ ${#check} -ge 1 ]]; then - echo "Commit includes change in the data-processed folder"; - else - echo "No change in the data-processed folder"; - echo "skipnext=true" >> $GITHUB_OUTPUT - fi - - name: Setup R if: ( steps.change-check.outputs.skipnext != 'true' ) uses: r-lib/actions/setup-r@v2 - name: Install system dependencies - if: ( steps.change-check.outputs.skipnext != 'true' ) run: sudo apt-get install libcurl4-openssl-dev libudunits2-dev libgdal-dev - name: Cache R packages id: cache - if: ( steps.change-check.outputs.skipnext != 'true' ) uses: actions/cache@v2 with: path: ${{ env.R_LIBS_USER }} key: ${{ runner.os }}-${{ hashFiles('.github/requirements.txt') }}-1 - name: Install dependencies - if: | - steps.cache.outputs.cache-hit != 'true' && steps.change-check.outputs.skipnext != 'true' + if: ( steps.change-check.outputs.skipnext != 'true' ) run: | R -e 'Sys.setenv("NOT_CRAN" = TRUE) install.packages(c("arrow", "gh", "remotes")) @@ -60,7 +44,6 @@ jobs: GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} - name: Run Validation - if : ( steps.change-check.outputs.skipnext != 'true' ) run: | Rscript code/validation.R env: From 7c4bff67760ee4edf1db5da66bbc0b5f7ef380bf Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 17:15:56 -0400 Subject: [PATCH 46/59] Update validation.yml --- .github/workflows/validation.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 4952c3e..54b0183 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -45,6 +45,8 @@ jobs: - name: Run Validation run: | + check=$( ${{ github.event.pull_request.event.action }}) + echo $check Rscript code/validation.R env: GH_PR_NUMBER: ${{ github.event.pull_request.number }} From 117648ff618c286e05907df79eff4ff5c3c6d1e0 Mon Sep 17 00:00:00 2001 From: LucieContamin Date: Fri, 19 Apr 2024 17:16:08 -0400 Subject: [PATCH 47/59] update validation for open PR --- code/validation.R | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/code/validation.R b/code/validation.R index c9f4f91..f5ea039 100644 --- a/code/validation.R +++ b/code/validation.R @@ -3,14 +3,19 @@ library(gh) library(dplyr) # Check if validation need to run -test <- gh::gh(paste0("GET /repos/", - "midas-network/example_round-scenariohub/commits/", - Sys.getenv("GH_COMMIT_SHA"))) -print(unique(unlist(purrr::map(test$files, "filename")))) -check <- grepl("data-processed/", unique(unlist(purrr::map(test$files, - "filename")))) +if (length(Sys.getenv("GH_COMMIT_SHA")) > 1) { + test <- gh::gh(paste0("GET /repos/", + "midas-network/example_round-scenariohub/commits/", + Sys.getenv("GH_COMMIT_SHA"))) + check <- grepl("data-processed/", unique(unlist(purrr::map(test$files, + "filename")))) +} else { + check <- TRUE +} + if (isFALSE(all(check))) { test_tot <- NA + print("no update in data-processed folder") } else { # check if submissions file pr_files <- gh::gh(paste0("GET /repos/", From 4121effe974103cb2d4dbf33adfdc440cc41a639 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 17:19:41 -0400 Subject: [PATCH 48/59] fix cache --- .github/workflows/validation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 54b0183..b7634af 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -33,7 +33,7 @@ jobs: key: ${{ runner.os }}-${{ hashFiles('.github/requirements.txt') }}-1 - name: Install dependencies - if: ( steps.change-check.outputs.skipnext != 'true' ) + if: ( steps.cache.outputs.cache-hit != 'true' ) run: | R -e 'Sys.setenv("NOT_CRAN" = TRUE) install.packages(c("arrow", "gh", "remotes")) From 6e73728cec21d90e96156e7af3b172b8866ce7be Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Fri, 19 Apr 2024 17:28:07 -0400 Subject: [PATCH 49/59] Update validation.yml --- .github/workflows/validation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index b7634af..89c5e1c 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -45,7 +45,7 @@ jobs: - name: Run Validation run: | - check=$( ${{ github.event.pull_request.event.action }}) + check=${{ github.event.pull_request.event.action }} echo $check Rscript code/validation.R env: From 654158591c1a1fe51bef88f7ca037db0d90a4df3 Mon Sep 17 00:00:00 2001 From: LucieContamin Date: Fri, 19 Apr 2024 17:34:53 -0400 Subject: [PATCH 50/59] update --- .github/workflows/validation.yml | 7 +++++-- code/validation.R | 2 ++ 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 89c5e1c..6626c15 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -43,10 +43,13 @@ jobs: env: GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} - - name: Run Validation + - name: test run: | - check=${{ github.event.pull_request.event.action }} + check=${{ github.event.action }} echo $check + + - name: Run Validation + run: | Rscript code/validation.R env: GH_PR_NUMBER: ${{ github.event.pull_request.number }} diff --git a/code/validation.R b/code/validation.R index f5ea039..7d3f582 100644 --- a/code/validation.R +++ b/code/validation.R @@ -3,6 +3,8 @@ library(gh) library(dplyr) # Check if validation need to run +print(length(Sys.getenv("GH_COMMIT_SHA"))) + if (length(Sys.getenv("GH_COMMIT_SHA")) > 1) { test <- gh::gh(paste0("GET /repos/", "midas-network/example_round-scenariohub/commits/", From b135a0c3ddd68b745772313dfae8bae24a7e3791 Mon Sep 17 00:00:00 2001 From: LucieContamin Date: Fri, 19 Apr 2024 17:39:36 -0400 Subject: [PATCH 51/59] one workflow --- .github/workflows/validation.yml | 16 +++++---- .github/workflows/validation_open.yml | 49 --------------------------- code/validation.R | 2 +- 3 files changed, 11 insertions(+), 56 deletions(-) delete mode 100644 .github/workflows/validation_open.yml diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 6626c15..985fb62 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -1,7 +1,7 @@ -name: Validate Submission(s) +name: Validate Submission on: pull_request_target: - types: [synchronize] + types: [synchronize, opened, reopened] branches: - main paths: @@ -43,15 +43,19 @@ jobs: env: GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} - - name: test + - name: Run Validation + if: ( github.event.action == 'synchronize' ) run: | - check=${{ github.event.action }} - echo $check + Rscript code/validation.R + env: + GH_PR_NUMBER: ${{ github.event.pull_request.number }} + GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + GH_COMMIT_SHA: ${{ github.event.pull_request.head.sha }} - name: Run Validation + if: ( github.event.action != 'synchronize' ) run: | Rscript code/validation.R env: GH_PR_NUMBER: ${{ github.event.pull_request.number }} GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} - GH_COMMIT_SHA: ${{ github.event.pull_request.head.sha }} diff --git a/.github/workflows/validation_open.yml b/.github/workflows/validation_open.yml deleted file mode 100644 index 32e2c7a..0000000 --- a/.github/workflows/validation_open.yml +++ /dev/null @@ -1,49 +0,0 @@ -name: Validate Submission - Open PR -on: - pull_request_target: - types: [opened, reopened] - branches: - - main - -jobs: - validates-files: - runs-on: ubuntu-20.04 - - steps: - - - name: Checkout repository - uses: actions/checkout@v3 - with: - fetch-depth: 1 - - - name: Setup R - uses: r-lib/actions/setup-r@v2 - - - name: Install system dependencies - run: sudo apt-get install libcurl4-openssl-dev libudunits2-dev libgdal-dev - - - - name: Cache R packages - id: cache - uses: actions/cache@v2 - with: - path: ${{ env.R_LIBS_USER }} - key: ${{ runner.os }}-${{ hashFiles('.github/requirements.txt') }}-1 - - - name: Install dependencies - if: ( steps.cache.outputs.cache-hit != 'true' ) - run: | - R -e 'Sys.setenv("NOT_CRAN" = TRUE) - install.packages(c("arrow", "gh", "remotes")) - Sys.unsetenv("NOT_CRAN") - remotes::install_url("https://github.com/midas-network/SMHvalidation/archive/refs/heads/version.zip") - remotes::install_url("https://github.com/Infectious-Disease-Modeling-Hubs/hubUtils/archive/refs/heads/main.zip")' - env: - GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} - - - name: Run Validation - run: | - Rscript code/validation.R - env: - GH_PR_NUMBER: ${{ github.event.pull_request.number }} - GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} diff --git a/code/validation.R b/code/validation.R index 7d3f582..b2a12ec 100644 --- a/code/validation.R +++ b/code/validation.R @@ -5,7 +5,7 @@ library(dplyr) # Check if validation need to run print(length(Sys.getenv("GH_COMMIT_SHA"))) -if (length(Sys.getenv("GH_COMMIT_SHA")) > 1) { +if (length(Sys.getenv("GH_COMMIT_SHA")) > 0) { test <- gh::gh(paste0("GET /repos/", "midas-network/example_round-scenariohub/commits/", Sys.getenv("GH_COMMIT_SHA"))) From e2c079c34e8821105999b5c56fde3756f99e8ba8 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Mon, 22 Apr 2024 13:09:19 -0400 Subject: [PATCH 52/59] Update ubuntu version --- .github/workflows/install_cache_dependencies.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/install_cache_dependencies.yml b/.github/workflows/install_cache_dependencies.yml index b8d034d..2d80820 100644 --- a/.github/workflows/install_cache_dependencies.yml +++ b/.github/workflows/install_cache_dependencies.yml @@ -8,7 +8,7 @@ on: jobs: cache-R-library: - runs-on: ubuntu-20.04 + runs-on: ubuntu-latest steps: - name: Checkout repository From 1272e050ad9e1a40ccd936278f67d97bfdd2edff Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Mon, 22 Apr 2024 13:10:55 -0400 Subject: [PATCH 53/59] Update validation.yml --- .github/workflows/validation.yml | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 985fb62..7f08313 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -9,7 +9,7 @@ on: jobs: validates-files: - runs-on: ubuntu-20.04 + runs-on: ubuntu-latest steps: - name: Checkout repository @@ -43,19 +43,20 @@ jobs: env: GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} - - name: Run Validation - if: ( github.event.action == 'synchronize' ) + - name: Run Validation - Open/reopen + if: ( github.event.action != 'synchronize' ) run: | Rscript code/validation.R env: GH_PR_NUMBER: ${{ github.event.pull_request.number }} GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} - GH_COMMIT_SHA: ${{ github.event.pull_request.head.sha }} - - name: Run Validation - if: ( github.event.action != 'synchronize' ) + - name: Run Validation - Synchronize + if: ( github.event.action == 'synchronize' ) run: | Rscript code/validation.R env: GH_PR_NUMBER: ${{ github.event.pull_request.number }} GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + GH_COMMIT_SHA: ${{ github.event.pull_request.head.sha }} + From f8402c6050d7c06fc6f9f7905ca489163be61f87 Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Mon, 22 Apr 2024 13:49:34 -0400 Subject: [PATCH 54/59] Update validation.yml --- .github/workflows/validation.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 7f08313..92c6fe1 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -50,6 +50,7 @@ jobs: env: GH_PR_NUMBER: ${{ github.event.pull_request.number }} GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} + GH_COMMIT_SHA: "" - name: Run Validation - Synchronize if: ( github.event.action == 'synchronize' ) From 6dca2dc55b279db4e3b9def4ad3459fa009a5eda Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Mon, 22 Apr 2024 14:00:04 -0400 Subject: [PATCH 55/59] Update validation.yml --- .github/workflows/validation.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 92c6fe1..95b01a8 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -50,7 +50,7 @@ jobs: env: GH_PR_NUMBER: ${{ github.event.pull_request.number }} GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} - GH_COMMIT_SHA: "" + GH_COMMIT_SHA: "none" - name: Run Validation - Synchronize if: ( github.event.action == 'synchronize' ) From bd8de72abaa4fba0a40e141c00129a2e3e7bd416 Mon Sep 17 00:00:00 2001 From: LucieContamin Date: Mon, 22 Apr 2024 14:12:45 -0400 Subject: [PATCH 56/59] update validation - run check --- code/validation.R | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/code/validation.R b/code/validation.R index b2a12ec..27d27ee 100644 --- a/code/validation.R +++ b/code/validation.R @@ -5,13 +5,14 @@ library(dplyr) # Check if validation need to run print(length(Sys.getenv("GH_COMMIT_SHA"))) -if (length(Sys.getenv("GH_COMMIT_SHA")) > 0) { +if (length(Sys.getenv("GH_COMMIT_SHA")) > 1) { test <- gh::gh(paste0("GET /repos/", "midas-network/example_round-scenariohub/commits/", Sys.getenv("GH_COMMIT_SHA"))) check <- grepl("data-processed/", unique(unlist(purrr::map(test$files, "filename")))) } else { + print(Sys.getenv("GH_COMMIT_SHA")) check <- TRUE } From 16372e0e9116023b88f072946759e5d94ff45135 Mon Sep 17 00:00:00 2001 From: LucieContamin Date: Mon, 22 Apr 2024 14:16:05 -0400 Subject: [PATCH 57/59] fix check run --- code/validation.R | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/code/validation.R b/code/validation.R index 27d27ee..f0e6a1e 100644 --- a/code/validation.R +++ b/code/validation.R @@ -3,16 +3,15 @@ library(gh) library(dplyr) # Check if validation need to run -print(length(Sys.getenv("GH_COMMIT_SHA"))) +print(nchar(Sys.getenv("GH_COMMIT_SHA"))) -if (length(Sys.getenv("GH_COMMIT_SHA")) > 1) { +if (nchar(Sys.getenv("GH_COMMIT_SHA")) > 1) { test <- gh::gh(paste0("GET /repos/", "midas-network/example_round-scenariohub/commits/", Sys.getenv("GH_COMMIT_SHA"))) check <- grepl("data-processed/", unique(unlist(purrr::map(test$files, "filename")))) } else { - print(Sys.getenv("GH_COMMIT_SHA")) check <- TRUE } From 08d872f4320c425dd280321f34d507906872f9da Mon Sep 17 00:00:00 2001 From: Lucie Contamin Date: Mon, 22 Apr 2024 14:16:36 -0400 Subject: [PATCH 58/59] Update validation.yml --- .github/workflows/validation.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/validation.yml b/.github/workflows/validation.yml index 95b01a8..7f08313 100644 --- a/.github/workflows/validation.yml +++ b/.github/workflows/validation.yml @@ -50,7 +50,6 @@ jobs: env: GH_PR_NUMBER: ${{ github.event.pull_request.number }} GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} - GH_COMMIT_SHA: "none" - name: Run Validation - Synchronize if: ( github.event.action == 'synchronize' ) From e4e4fba87c8fe697032ecf1dc7e9bd9012fe3a59 Mon Sep 17 00:00:00 2001 From: LucieContamin Date: Mon, 22 Apr 2024 16:43:33 -0400 Subject: [PATCH 59/59] update validation --- code/validation.R | 39 +++++++++++++++++++++++++++------------ 1 file changed, 27 insertions(+), 12 deletions(-) diff --git a/code/validation.R b/code/validation.R index f0e6a1e..fc0ca1f 100644 --- a/code/validation.R +++ b/code/validation.R @@ -19,6 +19,11 @@ if (isFALSE(all(check))) { test_tot <- NA print("no update in data-processed folder") } else { + # Prerequisite + pop_path <- "data-locations/locations.csv" + js_def_file <- "hub-config/tasks.json" + lst_gs <- NULL + # check if submissions file pr_files <- gh::gh(paste0("GET /repos/", "midas-network/example_round-scenariohub/pulls/", @@ -30,32 +35,42 @@ if (isFALSE(all(check))) { stringr::str_extract(pr_files_name, "data-processed/.+/\\d{4}-\\d{2}-\\d{2}(-.*)?") pr_sub_files <- unique(na.omit(pr_sub_files)) - pr_sub_files <- grep("(A|a)bstract", pr_sub_files, value = TRUE, invert = TRUE) - if (all(grepl(".pqt$|.parquet$", pr_sub_files))) { + pr_sub_files <- grep("(A|a)bstract", pr_sub_files, value = TRUE, + invert = TRUE) + round_id <- unique(stringr::str_extract(pr_sub_files, + "\\d{4}-\\d{2}-\\d{2}")) + config_json <- jsonlite::read_json(js_def_file) + rounds_ids <- unique(hubUtils::get_round_ids(config_json)) + sel_round <- grepl(paste(round_id, collapse = "|"), rounds_ids) + if (all(isFALSE(sel_round))) { + stop("The round id in the submission file was not recognized, please ", + "verify") + } + if (is.null(unlist(purrr::map(config_json$rounds[sel_round], "partition")))) { partition = NULL } else { - partition = c("origin_date", "target") - } - pop_path <- "data-locations/locations.csv" - js_def_file <- "hub-config/tasks.json" - lst_gs <- NULL + partition = unlist(purrr::map(config_json$rounds[sel_round], "partition")) + } # Run validation on file corresponding to the submission file format if (length(pr_sub_files) > 0) { - team_name <- unique(basename(dirname(pr_sub_files))) - sub_file_date <- unique(stringr::str_extract(basename(pr_sub_files), - "\\d{4}-\\d{2}-\\d{2}")) if (!(dir.exists(paste0(getwd(), "/proj_plot")))) dir.create(paste0(getwd(), "/proj_plot")) + sub_file_date <- unique(stringr::str_extract(basename(pr_sub_files), + "\\d{4}-\\d{2}-\\d{2}")) if (is.null(partition)) { + team_name <- unique(basename(dirname(pr_sub_files))) group_files <- paste0(sub_file_date, "-", team_name) } else { group_files <- sub_file_date + file_paths <- stringr::str_extract(pr_sub_files, + "(?<=data-processed/)(.+\\/)?") + team_name <- unique(unlist(purrr::map(strsplit(file_paths, "/"),1))) } test_tot <- lapply(group_files, function(y) { # select submission files pr_sub_files_group <- grep(y, pr_sub_files, value = TRUE) - pr_sub_files_lst <- pr_files[grepl(pr_sub_files_group, + pr_sub_files_lst <- pr_files[grepl(paste(pr_sub_files_group, collapse = "|"), purrr::map(pr_files, "filename"))] pr_sub_files_lst <- pr_sub_files_lst[!grepl("(A|a)bstract", @@ -86,7 +101,7 @@ if (isFALSE(all(check))) { val_path <- basename(pr_sub_files_group) round_id <- NULL } else { - val_path <- paste0(getwd(), "/part_sub/", dirname(pr_sub_files_group)) + val_path <- paste0(getwd(), "/part_sub/data-processed/", team_name, "/") round_id <- sub_file_date } arg_list <- list(path = val_path, js_def = js_def_file, lst_gs = lst_gs,

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