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A merged graph's one run genuinely spans several org_nodes now (Planner/ Coder/Validator all append their own nodes into the SAME run) -- a single run-level org_node column was never accurate once Phase 2b/2c landed, and real per-node ownership already lives in work_node_execution.subagent_type. Schema: work_graph_run.org_node column removed; ux_work_graph_run_active narrowed from UNIQUE(task_id, org_node) to UNIQUE(task_id) WHERE status NOT IN ('done', 'failed') -- 'blocked' now counts as active on purpose, since resuming a blocked run always appends into the same row rather than inserting a fresh one. New migrate_drop_work_graph_run_org_node() handles already-populated databases, wired into backend_server.py's startup path. Call sites updated: work_graph_plan.py/work_graph_fork.py/ root_cause_trace.py's INSERTs; work_graph_run_query.py/task_query.py now return "org_nodes_involved" (derived from work_node_execution.subagent_type) instead of the removed single-value "org_node"; frontend/app.js's org-strip and run-list rendering updated to the list-based shape. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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migrate_add_reviewing_planner_output_status() rebuilds task (create-copy- drop-rename, SQLite's only way to change a CHECK constraint), but task is a parent table referenced by work_graph_run/artifact/execution_event/ bug_record. DROP TABLE task under PRAGMA foreign_keys=ON (schema.connect()'s default) trips FK enforcement the instant any child row exists -- unit tests never seeded a referencing child row, so this never surfaced until a real restart against the live production database (months of real history). Found and fixed live: no data loss (INSERT INTO task_new already succeeded before the DROP failed; verified the two tables held byte-identical rows, cleaned up the stray task_new, backed up the db, re-applied the fixed migration, verified via PRAGMA foreign_key_check, then restarted the real process against production and confirmed a real end-to-end task run through the new Planner -> planner_reviewer -> Coder -> Validator flow). Fix follows the migrate_relax_org_node_constraints() precedent already in this file: PRAGMA foreign_keys=OFF around the rebuild, PRAGMA foreign_key_check after, ON in a finally block. New regression test seeds one referencing row per child table so this class of bug can't pass silently again. Also adds real (non-mocked) coverage for the planner_reviewer role in test_e2e_pipeline_e2e.py: one real call confirming it flags real narrative- text repro fixtures, one confirming it passes real structured content. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Inserts Planner -> planner_reviewer -> Coder -> Validator into the fixed Org Graph flow (was Planner -> Coder -> Validator), per docs/todo/org-graph-unification-phase1-review-gate-design.md. A new planner_reviewer role independently judges whether Planner's BRD/PRD/SDD/ Benchmark output is real structured content (not narrative prose) before Coder is allowed to start, with a 3-attempt retry loop and a narration heuristic informed by the real narrative-output incident (docs/todo/validator-test-script-narrative-output-issue.md). Also fixes, in the same code path: - The P0 bug in task-execution-resume-assumes-planner-artifacts-exist.md: resuming a task no longer assumes sdd/prd/benchmark artifacts exist -- falls through to real replanning when they don't. - A fresh-run KeyError (not resume-specific) when a self-planned graph omits the prd/benchmark node types. - agent_profile.migrated_from_profile was NOT NULL, which broke as soon as a role with no legacy Hermes profile (planner_reviewer) was recorded. org_node_lifecycle._REQUIRED_ARTIFACTS["coder"] is narrowed from (brd,prd,sdd,benchmark) to (sdd,) -- the old 4-artifact gate never actually blocked anything since artifact_write.py sets validation_status='passed' unconditionally; planner_reviewer is the first real semantic gate. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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work-graph-partial-artifact-persistence and work-graph-self-planning- and-loop-back (requirements + design) are all shipped and tested; move them out of docs/todo/ and fix up the docs/todo/*.md and src/*.py path references that pointed at their old location. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Implements docs/todo/role-package-abstraction-design.md. Requirements review (docs/todo/graph-engineering-open-items.md's H section) had already corrected the requirements doc's own dependency analysis before this; scope confirmed with user 2026-08-06: relax all 4 org_node CHECK constraints in one pass, not staged. Format is JSON, not YAML: 05 §5.7's pure-stdlib constraint rules out PyYAML, and unlike Skill files (whose YAML frontmatter only Claude Code itself ever parses, never this codebase's own Python), role.json genuinely needs to be read by agent_profile.py -- json.load is the zero-risk choice over a hand-rolled parser. role.json is a REFERENCE manifest, not a content copy: identity.soul_md_path/ agents_md_path still point at the untouched agents/<role>/SOUL.md/AGENTS.md files. This is what makes "deployed output must stay identical" close to automatic -- render_agent_definition()'s body-assembly logic doesn't change at all, only the frontmatter's data source does (hardcoded FRONTMATTER dict -> parsed role.json). Verified byte-for-byte: diffed the old (git HEAD) render_agent_definition() output against the new one for all three roles, zero differences. agent_profile.py: ORG_NODES is now discovered by scanning roles/ for role.json files (_discover_role_ids()) instead of a hardcoded 3-tuple; FRONTMATTER/_DESCRIPTIONS/_MIGRATED_FROM_PROFILE dicts are gone. Every public function takes an optional roles_dir override specifically so a test can prove "a new role needs zero code changes" against a throwaway fixture directory (NewRoleWithoutCodeChangeTest) rather than asserting it by inspection. schema.py: skill.owner_org_node/task.assigned_org_node/work_graph_run.org_node/ agent_profile.org_node relaxed from CHECK(x IN ('planner','coder','validator')) to CHECK(x != ''). Real blast radius found during design (bigger than the requirements doc's own risk note): task/work_graph_run/skill are referenced by several other tables' foreign keys, but since only the parent tables' own CHECK text changes (child FK definitions are untouched), only these 4 parent tables need rebuilding -- followed SQLite's documented procedure for schema changes under active foreign keys (foreign_keys=OFF for the duration, rebuild, foreign_key_check to confirm nothing went dangling, foreign_keys=ON). migrate_relax_org_node_constraints() depends on D's migrate_add_work_graph_fork_columns() having run (called unconditionally, idempotent) so work_graph_run's rebuild has the right column set either way. ux_work_graph_run_active and task's 3 indexes verified to survive the rebuild. work_graph_run_query.py's own separately-hardcoded _VALID_ORG_NODES (a real dependency the requirements doc's risk section missed) now reuses agent_profile.ORG_NODES instead of maintaining a second copy. Explicitly NOT done (scoped out during requirements review, not an oversight): frontend/app.js's 4 hardcoded 3-role spots (route regex, sort order, dropdown, lookup object) -- a new role still won't be recognized by the PH3 console. A `role` table with real FK referential integrity was also not built; this uses the simpler "just relax the enum" approach. Full src suite (623 tests) + supervisor suite (125 tests) pass with zero regressions. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> -
Implements docs/todo/work-graph-time-travel-debugging-design.md, backend and console together (user confirmed 2026-08-06). Key finding that shrank the v1 scope: ux_work_graph_run_active is a PARTIAL unique index (only covers non-terminal statuses), not a blanket one -- forking from a parent run that's already reached a terminal status never collides with it at all. v1 restricts forking to exactly that case, so no index/constraint change is needed, only two new nullable columns (parent_run_id, fork_of_node_exec_id). Resolved the requirements doc's FR-1 ambiguity ("override input_payload, re-trigger execution") as OUTPUT SUBSTITUTION instead: the fork point's own output_payload is replaced with the human-supplied content directly, it is never re-executed via a new claude -p call -- only the strict downstream subgraph actually re-runs. This sidesteps reconciling the different build_prompt/input_payload conventions each caller uses (Planner's artifact_type lookup, E's generic task_prompt field, F's jury) -- work_graph_fork.py only needs the persisted graph_manifest and each node's output_payload. Implementation needs ZERO changes to the execution engine: pre-seeding every non-downstream node as a 'done' work_node_execution row before calling the unmodified run_graph() on the unmodified graph_manifest is enough -- run_work_node()'s existing REQ-06 breakpoint-recovery short-circuit (already-'done' nodes return their persisted output without calling run_fn) does all the "reuse without re-executing" work for free. _reconstruct_build_prompt supports two graph shapes generically from persisted state alone (Planner's canonical doc chain via e2e_pipeline._planner_prompt_builder, and E's generic task_prompt field); anything else raises ForkGraphShapeUnsupportedError rather than producing broken prompts. New: src/work_graph_fork.py (create_fork/execute_fork/fork_work_graph_run/ start_fork_in_background, the last splitting fast DB-only setup from slow real execution so an HTTP caller gets run_id back immediately, same pattern task_execution.start_task_execution_in_background already uses). work_graph_run gets parent_run_id/fork_of_node_exec_id (SCHEMA_SQL + migrate_add_work_graph_fork_columns for existing databases). work_graph_run_query.py/task_query.py surface both fields. New endpoint POST /api/work-nodes/:node_exec_id/fork. Console: a "从这里分叉" form on each 'done' node in v_run_detail, a fork badge linking back to the parent run, and a 🔀 marker on v_graph_console's run list -- no diff/merge UI (non-goal #3), read-only branch visibility only. Verified end-to-end for real: started the actual backend, sent a real HTTP fork request, confirmed the new run persisted with correct parent_run_id/fork_of_node_exec_id lineage. Tests cover requirements doc acceptance standards 1-3 (PRD swapped -> SDD/Benchmark genuinely re-execute, BRD untouched; original run completely unaffected; the same node forked twice produces independent branches) plus schema migration idempotency, query-layer field surfacing, the HTTP route, and 3 frontend smoke-test assertions. Full src suite (608 tests) + all 3 frontend smoke tests pass. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> -
Root cause traced (docs/implementation-gap-analysis.md): the Benchmark document Validator relies on for its verdict was frequently a narrative about the work session ("The planner workflow completed and produced a Benchmark defining 18 scenarios...") instead of the actual scenarios -- found via a real skill-detail-page task's benchmark.md, then confirmed present since the earliest real self-hosting runs. Validator's own judgment was, in practice, resting on thin, sometimes-vacuous prose. Planner's work graph (brd->prd->sdd->benchmark) extends to benchmark->test_dataset->test_script: test_dataset/test_script are always present as nodes, but the generating subagent judges per-goal whether a real dataset/script applies (many goals, e.g. UI wiring, legitimately don't have one -- replying 'N/A: <reason>' is a real, expected answer, not a failure). test_script gets a genuinely mechanical verify_fn (real py_compile/node --check, not LLM judgment) -- the one node type where an objective check is actually possible. All four document prompts also gained an explicit anti-narration instruction (only 'brd' had a weaker version of this before). Coder's implementation prompt now receives the real benchmark/dataset/ script and must make the Planner's real script pass for real, not just whatever tests it invents on its own. Validator gets its own 3-node Work Graph (validator_benchmark -> validator_test_dataset -> validator_test_script), generated independently from SDD/PRD -- deliberately NOT reusing Coder's or Planner's own copies, same reasoning as a held-out eval set vs. the dev set a model was tuned against. The resulting script, if real, is actually executed against the current repository state; a non-zero real exit code force-overrides the verdict to FAIL in code (user-confirmed hard gate: the script is not up for LLM debate on a failure, only on a pass can subjective judgment add INCONCLUSIVE/risk notes). schema.py: artifact.artifact_type's CHECK constraint gains the 5 new types, plus migrate_expand_artifact_types() -- SQLite has no ALTER-based constraint migration, so this is the standard rebuild-copy-swap dance, applied for real to the live ~/.graphlemon/graphlemon.db (42 rows, verified byte-identical count before/after, integrity_check clean). skills/qa-task-validation.md and skills/project-sdd-planning.md already gained a standing principle from this same incident: verify cross-task data dependencies against real system state, not seeded fixtures alone (see prior commit d7035fc) -- this commit is the mechanism-level half of the same fix, not just the prose-guidance half. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Adds the two Deploy Supervisor entities from 01-M §1.15/§1.16 (17 tables total): deployment (full 15-value blue-green state machine, per 01-M's own text rather than supervisor-auto-rollback-design.md §3's abbreviated summary table) and deploy_health_signal (append-only health/monitoring samples). ux_deployment_active enforces 01-M's "only one non-terminal deployment at a time" constraint via an expression-based unique index (CREATE UNIQUE INDEX ... ON deployment((1)) WHERE status NOT IN (...)) -- the same partial-unique-index idiom work_graph_run already uses, just with a constant instead of a real grouping column since there's exactly one graphlemon self-target. bug_record.root_cause_category's schema-level CHECK now accepts core_engine, but bug_record.py's own application-layer whitelist deliberately does not follow yet -- classifying a bug as core_engine is a file-path-based rule (05 §5.8), not something the Validator's existing 3-perspective judge_root_cause can produce, and wiring that classification + c_org_loop_route's routing is U-035's job. 392 tests green. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Implements docs/sdd/01-M-模型设计.md §1.0-1.14 as stdlib sqlite3 DDL in src/ (deployment/deploy_health_signal §1.15-1.16 are PH5/U-034, deliberately excluded). Covers all entities' fields, enum CHECK constraints, FKs, and the two non-trivial unique indexes (work_graph_run's per-(task_id,org_node) active-run partial index, artifact's (task_id,artifact_type,git_commit_sha) composite key). Per user decision (2026-07-30): bug_record.root_cause_category excludes 'core_engine' for now -- that value is PH5-scoped and development-plan.md assigns adding it to U-034, not U-001; a test locks this in. 14 stdlib unittest cases in src/test_schema.py cover table creation and the Done criterion's named constraint classes (unique/FK/enum), all passing. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>