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707 lab 680 update gateway to read bacalhau job state from appropriat…
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…e state value (#708)
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thetechnocrat-dev committed Oct 17, 2023
1 parent 2e5dec7 commit b42e187
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Showing 7 changed files with 62 additions and 26 deletions.
3 changes: 0 additions & 3 deletions README.md
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Expand Up @@ -15,9 +15,6 @@
<a href="https://img.shields.io/github/downloads/labdao/plex/total">
<img src="https://img.shields.io/github/downloads/labdao/plex/total" alt="total download">
</a>
<a href="https://github.com/labdao/plex/actions/workflows/go.yml" alt="Tests">
<img src="https://github.com/labdao/plex/actions/workflows/go.yml/badge.svg" />
</a>
<a href="https://labdao.xyz/">
<img alt="LabDAO website" src="https://img.shields.io/badge/website-labdao.xyz-red">
</a>
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2 changes: 2 additions & 0 deletions gateway/handlers/flows.go
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Expand Up @@ -255,6 +255,8 @@ func UpdateFlowHandler(db *gorm.DB) http.HandlerFunc {
flow.Jobs[index].State = "processing"
} else if updatedJob.State.State == model.JobStateCompleted {
flow.Jobs[index].State = "completed"
} else if len(updatedJob.State.Executions) > 0 && updatedJob.State.Executions[0].State == model.ExecutionStateFailed {
flow.Jobs[index].State = "failed"
}

log.Println("Updated job")
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2 changes: 2 additions & 0 deletions gateway/handlers/jobs.go
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Expand Up @@ -88,6 +88,8 @@ func UpdateJobHandler(db *gorm.DB) http.HandlerFunc {
job.State = "processing"
} else if updatedJob.State.State == model.JobStateCompleted {
job.State = "completed"
} else if len(updatedJob.State.Executions) > 0 && updatedJob.State.Executions[0].State == model.ExecutionStateFailed {
job.State = "failed"
}
log.Println("Updated job")

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29 changes: 9 additions & 20 deletions internal/bacalhau/bacalhau.go
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Expand Up @@ -30,37 +30,27 @@ func GetBacalhauApiHost() string {
}
}

func CreateBacalhauJobV2(inputs map[string]string, container, cmd, selector string, maxTime, memory int, gpu, network bool, annotations []string) (job *model.Job, err error) {
func CreateBacalhauJobV2(inputs map[string]string, container, selector string, cmd []string, maxTime, memory int, gpu, network bool, annotations []string) (job *model.Job, err error) {
log.Println("Creating job inside v2 function")
job, err = model.NewJobWithSaneProductionDefaults()
if err != nil {
return nil, err
}
cmdJoined := strings.Join([]string{"/bin/bash", "-c", cmd}, " ")
fmt.Println("container cmd", cmd)
job.Spec.EngineSpec = model.NewDockerEngineBuilder(container).
WithEntrypoint(cmdJoined).Build()
WithEntrypoint(cmd...).Build()
job.Spec.PublisherSpec = model.PublisherSpec{
Type: model.PublisherIpfs,
}
job.Spec.Annotations = annotations
job.Spec.Timeout = int64(maxTime * 60)
job.Spec.Engine = model.EngineDocker
job.Spec.Docker.Image = container
job.Spec.Docker.Entrypoint = []string{"/bin/bash", "-c", cmd}

// plexEnv, _ := os.LookupEnv("PLEX_ENV")
// if selector == "" && plexEnv == "stage" {
// selector = "owner=labdaostage"
// } else if selector == "" && plexEnv == "prod" {
// selector = "owner=labdao"
// }
// nodeSelectorRequirements, err := parse.NodeSelector(selector)
// if err != nil {
// return nil, err
// }
// job.Spec.NodeSelectors = nodeSelectorRequirements
nodeSelectorRequirements, err := parse.NodeSelector(selector)
if err != nil {
return nil, err
}
job.Spec.NodeSelectors = nodeSelectorRequirements

log.Println("Checking memory arg")
if memory > 0 {
job.Spec.Resources.Memory = fmt.Sprintf("%dgb", memory)
}
Expand All @@ -71,14 +61,13 @@ func CreateBacalhauJobV2(inputs map[string]string, container, cmd, selector stri
job.Spec.Network = model.NetworkConfig{Type: model.NetworkFull}
}
job.Spec.Inputs = []model.StorageSpec{}
log.Println("mapping inputs")
for key, cid := range inputs {
job.Spec.Inputs = append(job.Spec.Inputs,
// ToDo for arrays split by comma and put inside a dir that is key/index
model.StorageSpec{
StorageSource: model.StorageSourceIPFS,
CID: cid,
Path: "/" + key,
Path: "/inputs/" + key,
})
}
job.Spec.Outputs = []model.StorageSpec{{Name: "outputs", StorageSource: model.StorageSourceIPFS, Path: "/outputs"}}
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2 changes: 1 addition & 1 deletion internal/ipwl/ipwl.go
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Expand Up @@ -111,7 +111,7 @@ func SubmitIoList(ioList []IO, selector string, maxTime int, annotations []strin
memory = *toolConfig.MemoryGB
}
log.Println("creating bacalhau job")
bacalhauJob, err := bacalhau.CreateBacalhauJobV2(bacalhauInputs, toolConfig.DockerPull, cmd, selector, maxTime, memory, toolConfig.GpuBool, toolConfig.NetworkBool, annotations)
bacalhauJob, err := bacalhau.CreateBacalhauJobV2(bacalhauInputs, toolConfig.DockerPull, selector, cmd, maxTime, memory, toolConfig.GpuBool, toolConfig.NetworkBool, annotations)
if err != nil {
submittedIOList[i].State = "failed"
submittedIOList[i].ErrMsg = fmt.Sprintf("error creating Bacalhau job: %v", err)
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5 changes: 3 additions & 2 deletions internal/ipwl/tool.go
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Expand Up @@ -112,7 +112,7 @@ func ReadToolConfig(toolPath string) (Tool, ToolInfo, error) {
return tool, toolInfo, nil
}

func toolToCmd2(toolConfig Tool, ioEntry IO, ioGraph []IO) (string, error) {
func toolToCmd2(toolConfig Tool, ioEntry IO, ioGraph []IO) ([]string, error) {
arguments := strings.Join(toolConfig.Arguments, " ")

placeholderRegex := regexp.MustCompile(`\$\((inputs\..+?(\.filepath|\.basename|\.ext|\.default))\)`)
Expand Down Expand Up @@ -154,7 +154,8 @@ func toolToCmd2(toolConfig Tool, ioEntry IO, ioGraph []IO) (string, error) {
}
}

cmd := fmt.Sprintf("%s \"%s\"", strings.Join(toolConfig.BaseCommand, " "), arguments)
cmd := toolConfig.BaseCommand
cmd = append(cmd, arguments)

return cmd, nil
}
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45 changes: 45 additions & 0 deletions tools/equibind/equibind_gateway.json
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@@ -0,0 +1,45 @@
{
"class": "CommandLineTool",
"name": "equibind gatway",
"description": "Docking of small molecules to a protein",
"author": "@misc{stärk2022equibind,\n title={EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction}, \n author={Hannes Stärk and Octavian-Eugen Ganea and Lagnajit Pattanaik and Regina Barzilay and Tommi Jaakkola},\n year={2022},\n eprint={2202.05146},\n archivePrefix={arXiv},\n primaryClass={q-bio.BM}\n}",
"baseCommand": ["/bin/bash", "-c"],
"arguments": [
"mkdir -p /tmp-inputs/tmp;",
"mkdir -p /tmp-outputs/tmp;",
"cp /inputs/protein/* /tmp-inputs/tmp/;",
"cp /inputs/small_molecule/* /tmp-inputs/tmp/;",
"ls /tmp-inputs/tmp;",
"cd /src && python /src/inference.py --config=/src/configs_clean/bacalhau.yml;",
"mv /tmp-outputs/tmp/* /outputs/;",
"mv /outputs/lig_equibind_corrected.sdf /outputs/$(inputs.protein.basename)_$(inputs.small_molecule.basename)_docked.$(inputs.small_molecule.ext);",
"mv /tmp-inputs/tmp/*.pdb /outputs/;"
],
"dockerPull": "ghcr.io/labdao/equibind:main@sha256:21a381d9ab1ff047565685044569c8536a55e489c9531326498b28d6b3cc244f",
"gpuBool": false,
"networkBool": false,
"inputs": {
"protein": {
"type": "File",
"item": "",
"glob": ["*.pdb"]
},
"small_molecule": {
"type": "File",
"item": "",
"glob": ["*.sdf", "*.mol2"]
}
},
"outputs": {
"best_docked_small_molecule": {
"type": "File",
"item": "",
"glob": ["*_docked.sdf", "*_docked.mol2"]
},
"protein": {
"type": "File",
"item": "",
"glob": ["*.pdb"]
}
}
}

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