3dfc064353
Add "retrospective" to validPhases so non-TDD skills pass Validate().
Return []Entry{} instead of nil in session.Read when no file exists,
so JSON serialisation produces [] rather than null.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
62 lines
2.1 KiB
Go
62 lines
2.1 KiB
Go
package exec
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import (
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"errors"
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"strings"
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)
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// Result is the structured JSON output from every supervisor invocation.
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// The JSON schema constant is passed to claude via --json-schema so Claude
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// validates its own output before returning.
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type Result struct {
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Status string `json:"status"` // pass | fail | error
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Phase string `json:"phase"` // red | green | refactor
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Skill string `json:"skill"` // tdd | review | ...
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FilePath string `json:"file_path"` // absolute path to generated file
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RunnerOutput string `json:"runner_output"` // raw stdout+stderr from test runner
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Verified bool `json:"verified"` // based on exit code, never self-report
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ModelUsed string `json:"model_used"` // model name or "self"
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Message string `json:"message"` // one sentence summary
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}
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var validStatuses = map[string]bool{"pass": true, "fail": true, "error": true}
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var validPhases = map[string]bool{
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"red": true,
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"green": true,
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"refactor": true,
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"retrospective": true,
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}
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func (r Result) Validate() error {
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var errs []string
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if !validStatuses[r.Status] {
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errs = append(errs, "status must be pass|fail|error, got: "+r.Status)
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}
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if !validPhases[r.Phase] {
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errs = append(errs, "phase must be red|green|refactor, got: "+r.Phase)
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}
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if r.Skill == "" {
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errs = append(errs, "skill is required")
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}
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if len(errs) > 0 {
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return errors.New(strings.Join(errs, "; "))
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}
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return nil
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}
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// Schema is passed to claude --json-schema to enforce structured output.
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const Schema = `{
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"type": "object",
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"required": ["status","phase","skill","file_path","runner_output","verified","model_used","message"],
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"properties": {
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"status": {"type": "string", "enum": ["pass","fail","error"]},
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"phase": {"type": "string", "enum": ["red","green","refactor"]},
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"skill": {"type": "string"},
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"file_path": {"type": "string"},
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"runner_output": {"type": "string"},
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"verified": {"type": "boolean"},
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"model_used": {"type": "string"},
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"message": {"type": "string"}
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}
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}`
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