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1 change: 1 addition & 0 deletions engine/controllers/models.cc
Original file line number Diff line number Diff line change
Expand Up @@ -526,6 +526,7 @@ void Models::StartModel(
if (auto& o = (*(req->getJsonObject()))["llama_model_path"]; !o.isNull()) {
auto model_path = o.asString();
if (auto& mp = (*(req->getJsonObject()))["model_path"]; mp.isNull()) {
mp = model_path;
// Bypass if model does not exist in DB and llama_model_path exists
if (std::filesystem::exists(model_path) &&
!model_service_->HasModel(model_handle)) {
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5 changes: 3 additions & 2 deletions engine/extensions/remote-engine/remote_engine.cc
Original file line number Diff line number Diff line change
Expand Up @@ -27,8 +27,9 @@ size_t StreamWriteCallback(char* ptr, size_t size, size_t nmemb,
auto* context = static_cast<StreamContext*>(userdata);
std::string chunk(ptr, size * nmemb);
CTL_DBG(chunk);
auto check_error = json_helper::ParseJsonString(chunk);
if (check_error.isMember("error")) {
Json::Value check_error;
Json::Reader reader;
if (reader.parse(chunk, check_error)) {
CTL_WRN(chunk);
Json::Value status;
status["is_done"] = true;
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118 changes: 59 additions & 59 deletions engine/services/model_service.cc
Original file line number Diff line number Diff line change
Expand Up @@ -819,75 +819,75 @@ cpp::result<StartModelResult, std::string> ModelService::StartModel(
constexpr const int kDefautlContextLength = 8192;
int max_model_context_length = kDefautlContextLength;
Json::Value json_data;
auto model_entry = db_service_->GetModelInfo(model_handle);
if (model_entry.has_error()) {
CTL_WRN("Error: " + model_entry.error());
return cpp::fail(model_entry.error());
}
yaml_handler.ModelConfigFromFile(
fmu::ToAbsoluteCortexDataPath(
fs::path(model_entry.value().path_to_model_yaml))
.string());
auto mc = yaml_handler.GetModelConfig();

// Check if Python model first
if (mc.engine == kPythonEngine) {

config::PythonModelConfig python_model_config;
python_model_config.ReadFromYaml(

// Currently we don't support download vision models, so we need to bypass check
if (!bypass_model_check) {
auto model_entry = db_service_->GetModelInfo(model_handle);
if (model_entry.has_error()) {
CTL_WRN("Error: " + model_entry.error());
return cpp::fail(model_entry.error());
}
yaml_handler.ModelConfigFromFile(
fmu::ToAbsoluteCortexDataPath(
fs::path(model_entry.value().path_to_model_yaml))
.string());
// Start all depends model
auto depends = python_model_config.depends;
for (auto& depend : depends) {
Json::Value temp;
auto res = StartModel(depend, temp, false);
if (res.has_error()) {
CTL_WRN("Error: " + res.error());
for (auto& depend : depends) {
if (depend != model_handle) {
StopModel(depend);
auto mc = yaml_handler.GetModelConfig();

// Check if Python model first
if (mc.engine == kPythonEngine) {

config::PythonModelConfig python_model_config;
python_model_config.ReadFromYaml(

fmu::ToAbsoluteCortexDataPath(
fs::path(model_entry.value().path_to_model_yaml))
.string());
// Start all depends model
auto depends = python_model_config.depends;
for (auto& depend : depends) {
Json::Value temp;
auto res = StartModel(depend, temp, false);
if (res.has_error()) {
CTL_WRN("Error: " + res.error());
for (auto& depend : depends) {
if (depend != model_handle) {
StopModel(depend);
}
}
return cpp::fail("Model failed to start dependency '" + depend +
"' : " + res.error());
}
return cpp::fail("Model failed to start dependency '" + depend +
"' : " + res.error());
}
}

json_data["model"] = model_handle;
json_data["model_path"] =
fmu::ToAbsoluteCortexDataPath(
fs::path(model_entry.value().path_to_model_yaml))
.string();
json_data["engine"] = mc.engine;
assert(!!inference_svc_);
// Check if python engine

auto ir =
inference_svc_->LoadModel(std::make_shared<Json::Value>(json_data));
auto status = std::get<0>(ir)["status_code"].asInt();
auto data = std::get<1>(ir);

if (status == drogon::k200OK) {
return StartModelResult{.success = true, .warning = ""};
} else if (status == drogon::k409Conflict) {
CTL_INF("Model '" + model_handle + "' is already loaded");
return StartModelResult{.success = true, .warning = ""};
} else {
// only report to user the error
for (auto& depend : depends) {
json_data["model"] = model_handle;
json_data["model_path"] =
fmu::ToAbsoluteCortexDataPath(
fs::path(model_entry.value().path_to_model_yaml))
.string();
json_data["engine"] = mc.engine;
assert(!!inference_svc_);
// Check if python engine

auto ir =
inference_svc_->LoadModel(std::make_shared<Json::Value>(json_data));
auto status = std::get<0>(ir)["status_code"].asInt();
auto data = std::get<1>(ir);

StopModel(depend);
if (status == drogon::k200OK) {
return StartModelResult{.success = true, .warning = ""};
} else if (status == drogon::k409Conflict) {
CTL_INF("Model '" + model_handle + "' is already loaded");
return StartModelResult{.success = true, .warning = ""};
} else {
// only report to user the error
for (auto& depend : depends) {

StopModel(depend);
}
}
CTL_ERR("Model failed to start with status code: " << status);
return cpp::fail("Model failed to start: " +
data["message"].asString());
}
CTL_ERR("Model failed to start with status code: " << status);
return cpp::fail("Model failed to start: " + data["message"].asString());
}

// Currently we don't support download vision models, so we need to bypass check
if (!bypass_model_check) {

// Running remote model
if (engine_svc_->IsRemoteEngine(mc.engine)) {
Expand Down
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