fabro/test/attractor/semport.dot

digraph Workflow {
  graph [ label="Semantic Port Tracking Loop", goal="We want to intelligently track and port semantic changes from the upstream openai-agents-python repository to our Go implementation.\n\nWe want to fetch the latest commits from inspiration/openai-agents-python, analyze each new commit for semantic changes (not just syntax), and intelligently coalesce/merge those changes into our Go codebase while respecting Go idioms and our existing architecture.\n\nWe want to track the disposition of each upstream commit in semport/ledger.tsv with three states: 'new' (unprocessed), 'implemented' (changes made), or 'acknowledged' (reviewed but no changes needed).\n\nWe want to make sure we are surgical in this monorepo and follow pre-existing coding conventions and standards.", rankdir="LR", context_fidelity_default="truncate", context_thread_default="semport-tracking", default_max_retries="4" ];

  FinalizeAndUpdateLedger [allow_partial="false", color="#94a3b8", fillcolor="white", fontname="Helvetica", fontsize="12", is_codergen="true", label="6) Finalize & update ledger", model="gpt-5.2-codex", llm_prompt="**Finalize implementation and update ledger in one step.**\\n\\n1. Synthesize the port plan from .ai/semport_plan_sonnet.md and implementation results into .ai/semport_implementation_summary.md. List which upstream commits were processed, what changes were made (with file:line references), and the disposition ('implemented').\\n\\n2. Update the ledger using:\\n```\\npython3 semport/ledger.py update <shortsha> implemented\\npython3 semport/ledger.py sort\\n```\\n\\n3. Verify with `python3 semport/ledger.py stats` to see progress.\\n\\n4. **Commit all changes** (implementation + ledger update) with a clear message:\\n   ```\\n   git add -A\\n   git commit -m \"semport: implement <shortsha> - <brief description of what was ported>\"\\n   ```\\n   Example: `git commit -m \"semport: implement a776d80 - nest handoff history by default\"`\\n\\nKeep our goal $goal in mind. Then loop back to process the next commit.", margin="0.1,0.08", max_agent_turns="8", node_type="stack.observe", penwidth="1.2", reasoning_effort="high", shape="box", style="rounded,filled", timeout="1200"];

  TestValidate [allow_partial="true", color="#94a3b8", fillcolor="white", fontname="Helvetica", fontsize="12", is_codergen="true", label="5) Test/Validate changes", model="gpt-5.2-codex", llm_prompt="Keeping our goal in mind: $goal. From repo root, validate that all ported changes work correctly. Run relevant tests (go test ./...), ensure compilation succeeds, and verify the ported functionality matches the upstream semantic intent (not necessarily syntax). Write validation results to .ai/semport_validation_report_NN.md. Use outcome=succeeded if all tests pass and changes are semantically correct; otherwise use outcome=failed with concrete failure details.", margin="0.1,0.08", max_agent_turns="8", node_type="stack.steer", penwidth="1.2", reasoning_effort="high", shape="box", style="rounded,filled", timeout="1800"];

  AnalyzeFailureSonnet [allow_partial="false", color="#94a3b8", fillcolor="white", fontname="Helvetica", fontsize="12", is_codergen="true", label="6a) Analyze failure (sonnet)", model="gpt-5.2-codex", llm_prompt="When tests or validation fail, inspect .ai/semport_validation_report_*.md, logs, diffs, and error messages. Write .ai/semport_failure_sonnet.md summarizing root causes, impacted files (with line references), and what needs to be fixed. Clearly note where failure artifacts are located. Keep our goal $goal in mind and be subjective.", margin="0.1,0.08", max_agent_turns="8", node_type="stack.observe", penwidth="1.2", reasoning_effort="high", shape="box", style="rounded,filled", timeout="1200"];

  FetchUpstreamSonnet [allow_partial="false", color="#94a3b8", fillcolor="white", fontname="Helvetica", fontsize="12", is_codergen="true", label="1) Fetch upstream & identify next commit (sonnet)", model="gpt-5.2-codex", llm_prompt="Our goal is: $goal\\n\\n---\\n\\n**CRITICAL: Use semport/ledger.py for all ledger operations to ensure proper chronological ordering. Ledger entries MUST always use short git hashes (7 characters, e.g. from `git rev-parse --short`).**\\n\\n1. Run `python3 semport/ledger.py earliest` to get the chronologically earliest commit with disposition='new'\\n2. If a commit is found, write ONLY that single commit (shortsha, iso8601, and full commit message from git show) to .ai/semport_new_commits.md and use outcome=process\\n3. If NO 'new' commits exist:\\n   a. Ensure inspiration/openai-agents-python exists (clone if missing)\\n   b. Run git fetch && git pull in that directory\\n   c. Use git log to find commits newer than the latest in ledger.tsv, capturing a short hash for each commit (e.g. `git log --format='%h %cI' ...`)\\n   d. Add new commits using `python3 semport/ledger.py add <shortsha> <timestamp>`\\n   e. Run `python3 semport/ledger.py sort` to maintain chronological order\\n   f. Then run `python3 semport/ledger.py earliest` to get the first new commit\\n   g. If a new commit is found after fetching, write it to .ai/semport_new_commits.md and use outcome=process\\n   h. If still no new commits after fetching, write a completion report to .ai/semport_completion.md and use outcome=done\\n\\n**IMPORTANT**: You MUST end with exactly one of these outcomes:\\n- outcome=process (when there is a commit to process)\\n- outcome=done (when fully caught up with no new commits)", margin="0.1,0.08", max_agent_turns="8", node_type="stack.steer", penwidth="1.2", reasoning_effort="high", shape="box", style="rounded,filled", timeout="1200"];

  ImplementPort [allow_partial="true", color="#94a3b8", fillcolor="white", fontname="Helvetica", fontsize="12", is_codergen="true", label="4) Implement port (gpt-5.1)", model="gpt-5.2-codex", llm_prompt="Follow the port plan in .ai/semport_plan_finalized.md. For each upstream commit, port the semantic changes to the Go codebase. Focus on semantic equivalence, not literal translation. Use Go idioms, respect existing architecture, and reference specific files/line ranges. Log all changes and commands to .ai/semport_impl.log.", margin="0.1,0.08", max_agent_turns="8", node_type="stack.observe", penwidth="1.2", reasoning_effort="high", shape="box", style="rounded,filled", timeout="2400"];

  FinalizePlanGPT [allow_partial="false", color="#94a3b8", fillcolor="white", fontname="Helvetica", fontsize="12", is_codergen="true", label="3) Finalize port plan (gpt-5.1)", model="gpt-5.2-codex", llm_prompt="Keeping our goal $goal in mind. Perform a final editorial pass over .ai/semport_plan_sonnet.md and write .ai/semport_plan_finalized.md. Ensure each port task has concrete file:line references, clear acceptance criteria, and is directly executable. Remove vague language and ensure the plan is actionable.", margin="0.1,0.08", max_agent_turns="8", node_type="stack.observe", penwidth="1.2", reasoning_effort="high", shape="box", style="rounded,filled", timeout="1200"];

  Exit [allow_partial="false", color="#94a3b8", fillcolor="white", fontname="Helvetica", fontsize="12", is_codergen="true", label="Exit", model="gpt-5.2-codex", margin="0.1,0.08", max_agent_turns="8", node_type="exit", penwidth="1.2", reasoning_effort="high", shape="doublecircle", style="rounded,filled", timeout="1200"];

  Start [allow_partial="false", color="#94a3b8", fillcolor="white", fontname="Helvetica", fontsize="12", is_codergen="true", label="Start", model="gpt-5.2-codex", margin="0.1,0.08", max_agent_turns="8", node_type="start", penwidth="1.2", reasoning_effort="high", shape="circle", style="rounded,filled", timeout="1200"];

  AnalyzePlanSonnet [allow_partial="false", color="#94a3b8", fillcolor="white", fontname="Helvetica", fontsize="12", is_codergen="true", label="2) Analyze & plan port (sonnet)", model="gpt-5.2-codex", llm_prompt="Keeping our goal $goal in mind. Read .ai/semport_new_commits.md which contains a SINGLE commit to process. Examine this one commit in inspiration/openai-agents-python using git show. Analyze the semantic changes (what functionality changed, not just syntax). Decide if this change is relevant to our Go implementation or if it's Python-specific/docs-only/not-applicable.\\n\\nWrite .ai/semport_plan_sonnet.md with sections: Commit Being Processed (shortsha and summary), Semantic Analysis (what changed functionally), DECISION (port or acknowledge with clear reasoning), Port Plan (if porting: concrete tasks with file:line references for Go code), and Disposition Recommendation.\\n\\n**If decision is to ACKNOWLEDGE (skip):**\\n1. Update the ledger: `python3 semport/ledger.py update <shortsha> acknowledged && python3 semport/ledger.py sort`\\n2. Verify with `python3 semport/ledger.py stats`\\n3. **Commit the ledger change** with a clear message summarizing why this commit was acknowledged:\\n   ```\\n   git add semport/ledger.tsv\\n   git commit -m \"semport: acknowledge <shortsha> - <brief reason>\"\\n   ```\\n   Example: `git commit -m \"semport: acknowledge e3fe4f4 - docs typo fix, no Go changes needed\"`\\n4. Use outcome=skip to loop back for next commit\\n\\n**If decision is to PORT:**\\nUse outcome=port to proceed to implementation.", margin="0.1,0.08", max_agent_turns="8", node_type="stack.steer", penwidth="1.2", reasoning_effort="high", shape="box", style="rounded,filled", timeout="1200"];

  FinalizeAndUpdateLedger -> FetchUpstreamSonnet [loop_restart="true"];
  Start -> FetchUpstreamSonnet;
  AnalyzeFailureSonnet -> FinalizeAndUpdateLedger;
  FinalizePlanGPT -> ImplementPort;
  TestValidate -> FinalizeAndUpdateLedger [condition="outcome=succeeded", label="pass"];
  TestValidate -> AnalyzeFailureSonnet [condition="outcome=failed", label="fail"];
  FetchUpstreamSonnet -> AnalyzePlanSonnet [condition="outcome=process", label="process"];
  FetchUpstreamSonnet -> Exit [condition="outcome=done", label="done"];
  ImplementPort -> TestValidate;
  AnalyzePlanSonnet -> FinalizePlanGPT [condition="outcome=port", label="port"];
  AnalyzePlanSonnet -> FetchUpstreamSonnet [condition="outcome=skip", label="skip", loop_restart="true"];
}