/* debug-ageout */
static void cmd_debug_ageout(
struct watchman_client* client,
const json_ref& args) {
/* resolve the root */
if (json_array_size(args) != 3) {
send_error_response(client,
"wrong number of arguments for 'debug-ageout'");
return;
}
auto root = resolve_root_or_err(client, args, 1, false);
if (!root) {
return;
}
std::chrono::seconds min_age(json_integer_value(json_array_get(args, 2)));
auto resp = make_response();
root->performAgeOut(min_age);
resp.set("ageout", json_true());
send_and_dispose_response(client, std::move(resp));
}
void CategoryInfo::DoExecute() {
auto categories = model_->categories();
vector<string> names = categories->category_names();
/*
cache_ << "*category_info: " << label_ << "\n";
for(string name : names) {
cache_ << "Category: " << name << "\n";
cache_ << "min_age: " << categories->min_age(name) << "\n";
cache_ << "max_age: " << categories->max_age(name) << "\n";
vector<unsigned> years = categories->years(name);
cache_ << "years: ";
for (unsigned year : years)
cache_ << year << " ";
cache_ << "\n\n";
}
*/
cache_ << "*" << label_ << " " << "("<< type_ << ")"<<"\n";
for(string name : names) {
cache_ << name << " " << REPORT_R_LIST<<"\n";
cache_ << "min_age: " << categories->min_age(name) << "\n";
cache_ << "max_age: " << categories->max_age(name) << "\n";
vector<unsigned> years = categories->years(name);
cache_ << "years: ";
for (unsigned year : years)
cache_ << year << " ";
cache_ << "\n";
cache_ << REPORT_R_LIST_END << "\n";
}
ready_for_writing_ = true;
}
/**
* Validate our Maturation Rate process
*
* - Check for the required parameters
* - Assign variables from our parameters
* - Verify the categories are real
* - If proportions or selectivities only has 1 element specified
* add more elements until they match number of categories
* - Verify vector lengths are all the same
* - Verify categories From->To have matching age ranges
* - Check all proportions are between 0.0 and 1.0
*/
void TransitionCategory::DoValidate() {
LOG_TRACE();
from_category_names_ = model_->categories()->ExpandLabels(from_category_names_, parameters_.Get(PARAM_FROM));
to_category_names_ = model_->categories()->ExpandLabels(to_category_names_, parameters_.Get(PARAM_TO));
if (selectivity_names_.size() == 1)
selectivity_names_.assign(from_category_names_.size(), selectivity_names_[0]);
// Validate Categories
auto categories = model_->categories();
for (const string& label : from_category_names_) {
if (!categories->IsValid(label))
LOG_ERROR_P(PARAM_FROM) << ": category " << label << " does not exist. Have you defined it?";
}
for(const string& label : to_category_names_) {
if (!categories->IsValid(label))
LOG_ERROR_P(PARAM_TO) << ": category " << label << " does not exist. Have you defined it?";
}
// Validate the from and to vectors are the same size
if (from_category_names_.size() != to_category_names_.size()) {
LOG_ERROR_P(PARAM_TO)
<< ": Number of 'to' categories provided does not match the number of 'from' categories provided."
<< " Expected " << from_category_names_.size() << " but got " << to_category_names_.size();
}
// Allow a one to many relationship between proportions and number of categories.
if (proportions_.size() == 1)
proportions_.resize(to_category_names_.size(),proportions_[0]);
// Validate the to category and proportions vectors are the same size
if (to_category_names_.size() != proportions_.size()) {
LOG_ERROR_P(PARAM_PROPORTIONS)
<< ": Number of proportions provided does not match the number of 'to' categories provided."
<< " Expected " << to_category_names_.size() << " but got " << proportions_.size();
}
// Validate the number of selectivities matches the number of proportions
if (proportions_.size() != selectivity_names_.size() && proportions_.size() != 1) {
LOG_ERROR_P(PARAM_SELECTIVITIES)
<< ": Number of selectivities provided does not match the number of proportions provided."
<< " Expected " << proportions_.size() << " but got " << selectivity_names_.size();
}
// Validate that each from and to category have the same age range.
for (unsigned i = 0; i < from_category_names_.size(); ++i) {
if (categories->min_age(from_category_names_[i]) != categories->min_age(to_category_names_[i])) {
LOG_ERROR_P(PARAM_FROM) << ": Category " << from_category_names_[i] << " does not"
<< " have the same age range as the 'to' category " << to_category_names_[i];
}
if (categories->max_age(from_category_names_[i]) != categories->max_age(to_category_names_[i])) {
LOG_ERROR_P(PARAM_FROM) << ": Category " << from_category_names_[i] << " does not"
<< " have the same age range as the 'to' category " << to_category_names_[i];
}
}
// Validate the proportions are between 0.0 and 1.0
for (Double proportion : proportions_) {
if (proportion < 0.0 || proportion > 1.0)
LOG_ERROR_P(PARAM_PROPORTIONS) << ": proportion " << AS_DOUBLE(proportion) << " must be between 0.0 and 1.0 (inclusive)";
}
for (unsigned i = 0; i < from_category_names_.size(); ++i)
proportions_by_category_[from_category_names_[i]] = proportions_[i];
}
