Get Job Inputs

Retrieve the input specifications and values that were provided when a job was executed. Shows what parameters were used to run the process. Use for debugging, reproducing results, or auditing job submissions.

Sby Skills Guide Bot
DevelopmentIntermediate
307/22/2026
#job-inputs#debugging#auditing#weaver#workflow

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name: job-inputs description: | Retrieve the input specifications and values that were provided when a job was executed. Shows what parameters were used to run the process. Use for debugging, reproducing results, or auditing job submissions. license: Apache-2.0 compatibility: Requires Weaver API access. metadata: author: fmigneault

Get Job Inputs

Retrieve the input values that were provided when a job was executed.

When to Use

  • Reviewing parameters used for a job
  • Reproducing job execution with same inputs
  • Debugging parameter-related issues
  • Auditing job submissions
  • Documenting workflow configurations
  • Comparing inputs across multiple job runs

Parameters

Required

  • job_id (string): Job identifier

CLI Usage

# Get job inputs
weaver inputs -u $WEAVER_URL -j a1b2c3d4-e5f6-7890-abcd-ef1234567890

# Save inputs for reuse
weaver inputs -u $WEAVER_URL -j a1b2c3d4-e5f6-7890-abcd-ef1234567890 > inputs-to-reuse.json

# Resubmit with same inputs
weaver execute -u $WEAVER_URL -p my-process -I inputs-to-reuse.json

Python Usage

from weaver.cli import WeaverClient

client = WeaverClient(url="https://weaver.example.com")

# Get inputs
inputs = client.inputs(job_id="a1b2c3d4-e5f6-7890-abcd-ef1234567890")

for input_name, input_value in inputs.body.items():
    print(f"{input_name}: {input_value}")

# Reuse inputs for another job
new_job = client.execute(
    process_id="my-process",
    inputs=inputs.body
)

API Request

curl -X GET \
  "${WEAVER_URL}/jobs/a1b2c3d4-e5f6-7890-abcd-ef1234567890/inputs"

Returns

{
  "input1": "value1",
  "input2": {
    "href": "https://example.com/input-file.nc",
    "type": "application/netcdf"
  },
  "threshold": 0.5,
  "enabled": true
}

Note: Response may include additional fields. See API documentation for complete response schemas.

Input Types

Literal Values

{
  "parameter": "string value",
  "count": 42,
  "enabled": true
}

File References

{
  "input_file": {
    "href": "https://example.com/data.tif",
    "type": "image/tiff"
  }
}

Arrays

{
  "files": [
    {"href": "https://example.com/file1.nc"},
    {"href": "https://example.com/file2.nc"}
  ]
}

Vault References

{
  "credentials": {
    "href": "vault://secret-token"
  }
}

Use Cases

Reproduce Results

# Get inputs from successful job
weaver inputs -u $WEAVER_URL -j c3d4e5f6-a7b8-9012-cdef-123456789012 > good-inputs.json

# Run again with same parameters
weaver execute -u $WEAVER_URL -p my-process -I good-inputs.json

Debug Failed Jobs

# Compare inputs between successful and failed jobs
success_inputs = client.inputs(job_id="success-job-id")
failed_inputs = client.inputs(job_id="d4e5f6a7-b8c9-0123-def1-234567890123")

# Find differences
for key in success_inputs.body:
    if success_inputs.body[key] != failed_inputs.body.get(key):
        print(f"Different value for {key}")

Audit Trail

# Document what inputs were used
weaver inputs -u $WEAVER_URL -j $JOB_ID | tee audit/job-$JOB_ID-inputs.json

Related Skills

Documentation

Related skills