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flowfile-run-and-operate

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How to run and operate Flowfile — every `flowfile` CLI verb and flag, the three headless flow-execution paths (CLI/PyInstaller/scheduler), local-dev vs single-process vs Docker service startup, the on-disk storage map (flows, catalog Delta tables, DB, logs, secrets, master key), and the state-inspection runbook. Use when starting core/worker/UI, running a flow headlessly or on a schedule, asking "where does Flowfile store X on disk," debugging why a flow/schedule/run didn't produce output, choosing FLOWFILE_MODE or FLOWFILE_SINGLE_FILE_MODE, or importing `flowfile`/`flowfile_core` in a script and needing to avoid mutating the live catalog DB.

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Flowfile Run and Operate

When NOT to use this skill

  • Writing/registering a new node type → flowfile-node-development.
  • Full .env / feature-flag catalog beyond the handful of ops-critical vars here → flowfile-config-and-flags.
  • Secret ciphertext format ($ffsec$1
    lt;user_id>
    lt;token>
    ), HKDF derivation, why core/worker must stay byte-identical → flowfile-architecture-contract (this skill only covers where the master key file lives and how to unblock a RuntimeError at startup).
  • Triaging a specific stack trace / reproduced bug → flowfile-debugging-playbook.
  • Known historical incidents (the "why" behind a design, postmortems) → flowfile-failure-archaeology.
  • Local dev environment setup, make targets, PyInstaller/Tauri build pipeline → flowfile-build-and-env.
  • Test-DB isolation (FLOWFILE_DB_PATH for pytest specifically, markers, coverage) → flowfile-testing-and-validation (this skill covers FLOWFILE_DB_PATH for ad-hoc/CLI isolation, which is the same mechanism but a different use case).

If your question is "how do I start/run/inspect a running Flowfile install" — keep reading.


1. The flowfile CLI — every verb and flag

Entry point: Poetry script flowfile = "flowfile.__main__:main" (root pyproject.toml). Argparse lives in flowfile/flowfile/__main__.py.

flowfile [command] [component] [file_path] [--host H] [--port P] [--no-browser]
         [--param KEY=VALUE ...] [--run-id N]
positionalchoicesmeaning
commandrun, seed-demo, remove-demo, projecttop-level verb
componentui, core, worker, flow, init, open, saverun target, or project sub-command
file_pathfreeflow file path, project folder, or version message
flagdefaultapplies tonotes
--host127.0.0.1run core / run worker onlyignored by run ui
--port63578run core / run worker onlyignored by run ui
--no-browseroffrun uiskips webbrowser.open_new_tab
--param KEY=VALUEnone, repeatablerun flowoverrides/creates a FlowParameter
--run-id NNonerun flowpre-created FlowRun row id; results reported via shared.run_completion.complete_run

Verb behavior

  • flowfile run ui [--no-browser] → flowfile.web.start_server(...). --host/--port are parsed but silently dropped — start_server hard-rejects any host other than 127.0.0.1 or port other than 63578 (raise NotImplementedError). The CLI's own no-args usage text (__main__.py:281) shows flowfile run ui --host 0.0.0.0 --port 8080 as an example — that example is dead code; don't follow it. Use run core/run worker directly if you need a custom host/port.
  • flowfile run core → flowfile_core.main.run(host, port), honors --host/--port.
  • flowfile run worker → flowfile_worker.main.run(host, port). When launched directly (poetry run flowfile_worker), the worker's own argparse additionally accepts --core-host/--core-port (flowfile_worker/configs.py).
  • flowfile run flow <path> [--param k=v] [--run-id N] → headless execution; see §3.A.
  • flowfile seed-demo / flowfile remove-demo → flowfile_core.catalog.demo_seed.seed_demo_catalog() / remove_demo_catalog(). Seeds a Demo catalog namespace tree (sales_analytics, market), 4 physical + up to 3 more Delta tables, 2 flow registrations, and 1 cron schedule; prints a summary dict, e.g. {'tables_created': [...], 'sales_flow_registration_id': 1, 'fx_flow_registration_id': 2, 'schedule_id': 1, 'fx_populate': 'triggered'}.
  • flowfile project {init|open|save} <folder-or-message> — headless git-backed project tracking (mirrors flows/connections/schedules/catalog into a deterministic git folder; DB stays the source of truth). Owner is get_local_user_id().
    • init <folder>: validates the path (electron: any local root; docker/package: confined to CWD ∪ storage roots, no ..), runs git init, writes a manifest + .gitignore, commits "Initialize Flowfile project". Prints Initialized project '<name>' at <root>.
    • open <folder>: imports flows/connections/schedules from the folder into the DB; prints counts and N value(s) need to be set (FLOWFILE_SECRET_<NAME> or update them in the app). for placeholder secrets.
    • save "<message>": projects the DB into the folder and git commits; prints Saved version <sha8> or (no changes).
  • No args → prints FlowFile v<version> + a usage block.

Full multi-line usage/version output, verb list, and demo-seed summary shape are all worth re-reading directly from flowfile/flowfile/__main__.py — it is short (under 300 lines) and is the ground truth for every flag above.


2. CRITICAL: import side effects

import flowfile (flowfile/flowfile/__init__.py) unconditionally sets, at import time:

os.environ["FLOWFILE_WORKER_PORT"] = "63578"
os.environ["FLOWFILE_SINGLE_FILE_MODE"] = "1"

So any python -m flowfile ... invocation — including a throwaway python -c "import flowfile" — silently forces single-file (co-hosted worker) mode for the rest of the process.

import flowfile also imports flowfile_core, and flowfile_core/flowfile_core/__init__.py runs, at import time:

  1. validate_setup() — node-registry sanity check.
  2. init_db() → flowfile_core/flowfile_core/database/init_db.py, which (unless FLOWFILE_SKIP_STARTUP_MIGRATION is set) calls run_startup_migration() — runs Alembic migrations against the live catalog DB — and then seeds the default local_user.

This means importing flowfile or flowfile_core from an ad-hoc script, a REPL, or a debugging session mutates your real catalog database unless you isolate it first.

Isolation rule — use FLOWFILE_DB_PATH for any diagnostic import:

FLOWFILE_DB_PATH=/tmp/scratch/cat.db FLOWFILE_STORAGE_DIR=/tmp/scratch/storage \
  poetry run python -c "import flowfile_core"

Do not combine FLOWFILE_SKIP_STARTUP_MIGRATION=1 with a brand-new/nonexistent DB path — skipping migration means no tables get created at all, and the very next query 500s with "no such table." Only use FLOWFILE_SKIP_STARTUP_MIGRATION=1 when you deliberately want to import core against an already-migrated DB without re-running Alembic (e.g. the Alembic CLI itself, which needs to import settings without triggering a second migration run).

Also: flowfile/__init__.py mutes the PipelineHandler logger to WARNING on import.


3. Headless flow execution — three equivalent paths

All three run the same logic: force execution_location = "local", disable worker offload (OFFLOAD_TO_WORKER.set(False) — compute happens in-process, no worker service needed), delete any UI-only explore_data nodes (prints Skipping N explore_data node(s) (UI-only)), stamp catalog producer lineage, call flow.run_graph(), and report per-node results.

A. CLI (dev / pip install)

flowfile run flow /abs/path/pipeline.yaml
# or, with parameter overrides and a pre-created run-id:
flowfile run flow flow.yaml --param input_dir=/data --param threshold=100 --run-id 42
# equivalently:
python -m flowfile run flow /abs/path/pipeline.yaml

Implemented in flowfile/flowfile/__main__.py:run_flow(). --param key=value (repeatable) replaces an existing FlowParameter's default_value or appends a new one. Exit 0 + Flow completed successfully in X.XXs / Nodes completed: n/m on success; exit 1 + per-node errors on stderr on failure. Writes a per-flow log to <storage>/logs/flow_<flow_id>.log (see §9).

B. PyInstaller / frozen-sidecar binary

python -m flowfile_core.main --run-flow <path> --run-id <id>   # --run-id is REQUIRED here

flowfile_core/main.py dispatches --run-flow (only reachable via if __name__ == "__main__") to _run_flow_cli, which duplicates run_flow()'s logic inside flowfile_core because the top-level flowfile package isn't bundled into the PyInstaller binary. Missing --run-id prints Error: --run-id is required and exits 1 — unlike path A, there is no optional-run-id fallback here.

C. Scheduler-spawned

shared/subprocess_utils.py:spawn_flow_subprocess(flow_path, run_id):

  • frozen: [sys.executable, --run-flow, path, --run-id, N]
  • dev: [sys.executable, -m, flowfile, run, flow, path, --run-id, N]
  • stdout+stderr redirect to a hardcoded Path.home() / ".flowfile" / "logs" / "scheduled_run_<run_id>.log" (mode 0644, truncated each run) — this path ignores FLOWFILE_STORAGE_DIR, always the real home dir.
  • start_new_session=True (fire-and-forget); returns the child PID or None on spawn failure.

The scheduler engine (flowfile_scheduler/flowfile_scheduler/engine.py) polls the shared SQLite catalog DB every DEFAULT_POLL_INTERVAL = 30 seconds, supports cron/interval/table-trigger schedules, skips launching a schedule that already has an active run (ended_at IS NULL), creates the FlowRun row (run_type="scheduled") before spawning, and records the child PID. Standalone: poetry run flowfile_scheduler (continuous) or poetry run flowfile_scheduler --once (single tick). Embedded inside core only when FLOWFILE_SCHEDULER_ENABLED is truthy (true/1/yes).


4. Service startup — order, terminals, co-hosting

Local dev — three terminals

poetry run flowfile_core                     # :63578 — start FIRST
poetry run flowfile_worker                   # :63579 — needed for worker-offloaded / remote-execution runs
cd flowfile_frontend && npm run dev:web       # :8080, proxies /api -> :63578

Core must be up before the frontend — Vite proxies /api to core (and nginx does the same in Docker: proxy_pass http://flowfile-core:63578/). The worker is independent: core starts fine without it, but any worker-offloaded node run fails until the worker is up. The worker only calls back to core to ship logs (POST /raw_logs).

Single-process ("unified") mode — the pip-install story

flowfile run ui [--no-browser]

Fixed at 127.0.0.1:63578 (see §1). start_server sets FLOWFILE_MODE=electron if unset, forces OFFLOAD_TO_WORKER.value = True, and extends the core FastAPI app:

  • serves the built Vue SPA from flowfile/web/static/ under /ui (missing build → {"error": "Web UI not installed..."}),
  • adds StripApiPrefixMiddleware (strips a leading /api so the Docker-oriented frontend base URL still resolves),
  • GET /single_mode reports whether FLOWFILE_SINGLE_FILE_MODE == "1",
  • mounts the worker's own router at /worker on the same app — one process serves UI, core API, and worker compute.

FLOWFILE_SINGLE_FILE_MODE=1 + FLOWFILE_WORKER_PORT=63578 is exactly what import flowfile sets automatically (§2) — that's why get_default_worker_url() appends /worker to the worker URL when single-file mode is on: core's own offload POSTs go to http://127.0.0.1:63578/worker/..., i.e. itself. If you need this co-hosted mode without the flowfile CLI wrapper (e.g. scripting it directly), set both env vars yourself before starting core.

Gotcha: the browser tab opens after time.sleep(5) but before uvicorn starts listening — the first load can 404/connection-refuse; just reload. webbrowser.open_new_tab targets /ui; API docs live at /docs.

Core startup/shutdown side effects worth knowing

  • Import-time: storage.cleanup_directories() runs (see §8 cleanup policy) — starting core deletes cache files older than 1 hour, every time.
  • Lifespan startup: logging.basicConfig(INFO, ...) to stdout only (no file handler — Electron/Tauri pipes this); starts the embedded scheduler iff FLOWFILE_SCHEDULER_ENABLED.
  • Lifespan shutdown: stops the scheduler, stops every Docker kernel container, shuts down the optional local LLM, and calls clear_all_flow_logs() — deletes every *.log under the logs directory. Flow logs do not survive a core restart; the flow_runs DB table is the durable record, not the log files.
  • POST /shutdown triggers a graceful uvicorn exit (used by the Tauri shutdown ladder).
  • CLI arg parsing (--host/--port/--worker-port) happens at import of flowfile_core.configs.settings via parse_known_args() against whatever sys.argv the importing process has — importing core inside a process with unrelated --host/--port flags on argv will silently repoint the server.

Docker — build-from-source stack

First-time setup (.env bootstrapping, kernel-image build profiles + FLOWFILE_KERNEL_IMAGE, the Docker-socket mount and fixed-name flowfile-network rationale) → flowfile-build-and-env §2(d); this section only covers operating an already-built stack.

docker compose up -d starts frontend :8080, core :63578, worker :63579. Verified in docker-compose.yml: core and worker both get shm_size: 2gb, and FLOWFILE_SCHEDULER_ENABLED=true + FLOWFILE_ENABLE_PROJECTS=true by default. Core/worker Dockerfiles: CMD python -m flowfile_core.main / python -m flowfile_worker.main, healthcheck curl -f http://localhost:6357{8,9}/docs. Status/logs: docker compose ps, docker compose logs -f flowfile-core|flowfile-worker (§11 runbook).

Published-images deployment ("docker-remote" — documented drift)

Root CLAUDE.md lists a docker-remote/ directory as "Compose stack using published Docker Hub images." That directory does not exist in the working tree or in any commit (as of 2026-07-03). The actual published-images deployment story lives in docs/users/deployment/docker.md: a sample compose file pulling edwardvaneechoud/flowfile-{frontend,core,worker}:latest plus versioned kernel images (edwardvaneechoud/flowfile-kernel-base:0.3.0, -ml:0.3.0), same env vars/volumes as the source compose (the storage volume is just named flowfile-storage there instead of flowfile-internal-storage). Ops commands: docker compose up -d | down | pull | logs -f. Treat any reference to docker-remote/ elsewhere in the docs as stale — point people at docs/users/deployment/docker.md instead.


5. Flow file format

Format: YAML (preferred) or JSON, root Pydantic model FlowfileData. Key shape:

flowfile_version: 0.12.7        # stamped with the running app version at save time; informational only
flowfile_id: 424242
flowfile_name: my_flow
flowfile_settings:               # description, execution_mode (Development|Performance),
                                  # execution_location (local|remote|...), auto_save,
                                  # show_detailed_progress, max_parallel_workers, parameters[]
nodes:
  - id: 1
    type: manual_input           # node type == FlowGraph method suffix ("add_" + type)
    is_start_node: true
    x_position: 100
    y_position: 100
    outputs: [2]                 # downstream node ids; connections derive from this
    output_handles: [output-0]   # parallel to outputs; missing entries default to "output-0"
    setting_input: {...}         # node-type-specific settings
groups: []                       # visual FlowfileGroup boxes

Save (FlowGraph.save_flow): .yaml/.yml → yaml.dump(..., default_flow_style=False, sort_keys=False, allow_unicode=True); .json → json.dump(..., indent=2); .flowfile raises DeprecationWarning ("The .flowfile format is deprecated. Please use .yaml or .json formats."); unknown extension → warns and defaults to YAML. Save also re-derives the flow name from the filename stem, prunes empty visual groups, and records catalog read-links.

Load (open_flow): dispatches on suffix. .yaml/.yml/.json → straightforward Pydantic parse. .flowfile → legacy pickle load via a custom LegacyUnpickler that maps old dataclass names through tools/migrate/legacy_schemas.py's LEGACY_CLASS_MAP, plus a compatibility pass that back-fills fields legacy pickles lack (groups, output_handles, table_settings). There is no version-gated migration keyed on flowfile_version — compatibility is purely structural (Pydantic defaults + the legacy-pickle path); the stamped version is cosmetic.

Load overrides the flow's name from the filename stem — flow_settings.name = flow_path.stem. Rename the YAML on disk and the flow's in-app name changes on next open; the flowfile_name field inside the file becomes stale/cosmetic.

Path sandboxing at load: allowed extensions {.yaml, .yml, .json, .flowfile}. In docker mode, the validator rejects a relative path that resolves outside flows_directory/uploads_directory/temp_directory_for_flows — but an absolute path outside those directories is not rejected by this check (the guard is if not is_safe and not path.is_absolute(): raise). Don't rely on this function alone as a security boundary for absolute paths; verify current behavior in flowfile_core/flowfile_core/flowfile/manage/io_flowfile.py::_validate_flow_path before treating it as a hard confinement guarantee. Local/electron/package modes accept any path.

Where flows live on disk

kindpathnotes
quick-created ("unnamed")<flows_directory>/unnamed_flows/YYYYMMDD_HH_MM_SS_flow.yamlpersisted, not temp — survives cleanup sweeps. FlowfileHandler.add_flow(persist=False) keeps a scratch flow memory-only until first save/run, so abandoned blank canvases leave no orphan file
Python-API-built (FlowFrame)<flows_directory>/python_editor_flows/<stem>.yamlwritten by flowfile_frame flows registering into the catalog
open_graph_in_editor(...) (no explicit path)TemporaryDirectory(prefix="flowfile_graph_")/temp_flow_<hex8>.yamlforces execution_location="local" + execution_mode="Development" on the saved copy; auto-starts the unified server if /docs isn't responding (polls up to 60s), then opens http://127.0.0.1:63578/ui/flow/<id> in a browser when in electron/single-file mode

6. Filesystem map — the storage singleton

shared/storage_config.py's storage = FlowfileStorage() is instantiated at import and eagerly mkdir -ps every directory below (except the two marked "no" — opt-in only). Importing shared (transitively: importing flowfile_core or flowfile_worker) has filesystem side effects.

Two roots:

  • base (internal): FLOWFILE_STORAGE_DIR env, else ~/.flowfile (local), else /app/internal_storage (docker mode, i.e. FLOWFILE_MODE == "docker" exactly).
  • user data: local = Path.home(); docker = FLOWFILE_USER_DATA_DIR env, else /data/user (the compose file overrides this to /app/user_data).
directory propertylocal pathdocker patheager mkdirpurpose
cache_directory<base>/cachesameyesworker↔core IPC; .arrow results under cache/<flow_id>/<task_id>.arrow; cleaned when >1h old at every core startup
database_directory<base>/databasesameyesflowfile_catalog.db (+ legacy flowfile.db)
logs_directory<base>/logssameyesper-flow flow_<flow_id>.log; 168h cleanup + 7-day sweep
system_logs_directory<base>/system_logssameyesreserved — no writer currently ships to it
temp_directory<base>/tempsameyesscratch; 24h cleanup
temp_directory_for_flows<base>/temp/flowssameyesflow-scoped temp
shared_directory<base>/temp/kernel_shared (or $FLOWFILE_SHARED_DIR)sameyescore↔worker↔kernel exchange — must stay on the kernel-visible volume
artifact_staging_directory<base>/temp/kernel_shared/artifact_stagingsameyesartifact upload staging
global_artifacts_directory<base>/temp/kernel_shared/global_artifactssameyespermanent artifacts (ML models, etc.)
flows_directory<base>/flows<user_data>/flowsyessaved flow YAMLs
unnamed_flows_directory<flows>/unnamed_flowssameyesquick-created flows
python_editor_flows_directory<flows>/python_editor_flowssameyesFlowFrame/API-registered flows
uploads_directory<base>/uploads<user_data>/uploadsyesuser uploads
outputs_directory<base>/outputs<user_data>/outputsyesuser outputs
user_defined_nodes_directory (+/icons)<base>/user_defined_nodes<user_data>/user_defined_nodesyescustom node code + icons
catalog_tables_directory<base>/catalog_tables<user_data>/catalog_tablesyesDelta Lake tables — see §7
catalog_virtual_results_directory<base>/catalog_virtual_results<user_data>/catalog_virtual_resultsyesworker IPC cache for materialized virtual tables
notebooks_directory<base>/notebooks<user_data>/notebooksyescatalog notebook cell content
template_data_directory<base>/template_data<base> (not user data)yescached template CSVs
local_model_directory<base>/local_modelsamenoopt-in llama.cpp binary + GGUF
ai_sessions_directory<base>/ai_sessions<user_data>/ai_sessionsnopersisted AI agent sessions
ai prompt log (not a storage property)<base>/ai_prompts/YYYY-MM-DD.jsonlsameon first loggated by FLOWFILE_AI_LOG_PROMPTS

Cleanup policy (storage.cleanup_directories(), runs at every core startup): temp > 24h, cache > 1h, logs > 168h, system_logs > 168h, mtime-based.

Catalog DB resolution order (get_database_url()):

  1. FLOWFILE_DB_PATH env → sqlite:///<that path> (always wins)
  2. TESTING=True → sqlite:///<base>/temp/test_flowfile_catalog.db — one shared file; concurrent test sessions clobber each other, use FLOWFILE_DB_PATH per session instead
  3. default → sqlite:///<base>/database/flowfile_catalog.db

Legacy one-time migration: if <base>/database/flowfile.db exists (and FLOWFILE_DB_PATH is unset), its data is copied into the new DB at startup.

As of 2026-07-03 (v0.12.7) the schema has 34 tables + alembic_version, migration head 028. Fresh non-docker DB seeds exactly one user: local_user.


7. Catalog Delta Lake layout

  • Each catalog table = one directory under catalog_tables_directory, a standard Delta table (_delta_log/00000000000000000000.json + part-*.snappy.parquet). Naming: demo seed uses demo_<name>, flow-written tables use <table_name>_<8-hex>, unnamed fallback is catalog_<32-hex>.
  • The catalog_tables DB row's file_path holds the table dir as an absolute path; storage_format='delta'; lineage columns source_registration_id/producer_registration_id link back to the producing flow. Deleting an orphan Delta directory on disk requires also deleting/fixing its catalog_tables row — the two are not self-healing against each other.
  • Namespace tree lives in catalog_namespaces (root General with children default, Local Flows, Unnamed Flows; seed-demo adds a Demo namespace with sales_analytics/market children).
  • All reads/writes go through the worker, never core in-process — flowfile_worker/catalog_reader.py (scan_delta / scan_ipc), with every path validated against the two catalog roots.
  • Optional per-namespace object-storage backend (S3, etc.) resolved via flowfile_core/catalog/storage_backend.py; FLOWFILE_CATALOG_STORAGE_URI/_CONNECTION env vars are creation-time defaults for new catalogs only, never a live override of existing local tables.
  • Materialized virtual-table results land as Arrow IPC files under catalog_virtual_results/.

8. Secrets & master key — where they live (ops view)

Ciphertext format and HKDF derivation are owned by flowfile-architecture-contract; here's only what you need to unblock a broken install:

  • Docker mode: key source is FLOWFILE_MASTER_KEY env, else the Docker secret file /run/secrets/flowfile_master_key, else a RuntimeError: Master key not configured... on first use. Core and worker must be given the same key (compose passes it to both).
  • Electron/local: SecureStorage auto-generates a Fernet key at $APPDATA/flowfile/.secret_key (mode 0600) the first time it's needed, alongside an encrypted flowfile.json.enc store. Falls back to ~/.config/flowfile if APPDATA is unset, or $SECURE_STORAGE_PATH (default /tmp/.flowfile) in non-electron/non-docker runs.
  • Repo-root master_key.txt is a build artifact, not a runtime path: make generate_key writes one if missing, make force_key regenerates unconditionally (Makefile, KEY_FILE := master_key.txt). It's gitignored and used by test-docker-auth.yml CI / as a Docker secret source — never a live master key for a normal install.

9. Logs — who writes what, where

loglocationwriter
per-flow execution log<base>/logs/flow_<flow_id>.logFlowLogger, FileHandler, format %(asctime)s - %(levelname)s - %(message)s; node lines prefixed Node ID: <n> -
scheduled-run subprocess output~/.flowfile/logs/scheduled_run_<run_id>.log (always real home, ignores FLOWFILE_STORAGE_DIR)shared/subprocess_utils.py
core service logstdout only, %(asctime)s [%(levelname)s] %(name)s: %(message)sno file handler — Electron/Tauri captures stdout
worker service logstdout only, %(asctime)s: %(message)s; worker subprocesses ship flow-scoped lines back to core via POST /raw_logs so they land in the same flow_<id>.logno file
AI prompt log<base>/ai_prompts/YYYY-MM-DD.jsonl (UTC-dated), only when FLOWFILE_AI_LOG_PROMPTS is truthyflowfile_core/ai/prompt_log.py
docker logscontainer stdoutdocker compose logs -f [service]

Access:

  • Stream a flow's log live: GET /logs/{flow_id} (JWT via query param, idle_timeout=300 default). Append: POST /logs/{flow_id}. Worker ingest: POST /raw_logs. Wipe all: POST /clear-logs.
  • Prompt-log CLI: python -m flowfile_core.ai.prompt_log tail [N] (default 10), ... grep PATTERN [SURFACE].
  • Flow logs do not survive a core restart — clear_all_flow_logs() runs at every shutdown, plus a 7-day age sweep independently. The flow_runs DB table (id, flow_name, started_at, ended_at, success, pid) is the durable record; logs are best-effort/ephemeral.

10. Gotchas (quick reference)

  1. flowfile run ui --host/--port is dead — flags parsed, never used; start_server throws on non-default values.
  2. import flowfile mutates env and importing flowfile_core migrates + seeds the live DB (§2) — always isolate ad-hoc imports with FLOWFILE_DB_PATH.
  3. Scheduled-run logs are hardcoded to the real ~/.flowfile/logs/, ignoring FLOWFILE_STORAGE_DIR.
  4. Flow logs are wiped on every core shutdown and by a 7-day sweep — don't treat them as history.
  5. Cache files older than 1h are deleted every time core starts — don't assume a Status.file_ref survives a restart.
  6. Opening a flow renames it in-app to the file's stem; renaming the YAML on disk renames the flow.
  7. Saving .flowfile raises DeprecationWarning; loading .flowfile still works via the legacy pickle path.
  8. Docker-mode path sandboxing (§5) only rejects relative escapes — verify the current guard before treating it as absolute-path-safe.
  9. TESTING=True uses one shared temp DB file — concurrent pytest sessions cross-drop tables; use per-session FLOWFILE_DB_PATH (see flowfile-testing-and-validation).
  10. Kernel-exchange dirs (shared_directory, global_artifacts_directory, artifact_staging_directory) must stay under the kernel-mounted volume — don't relocate them via ad-hoc env overrides.
  11. flowfile_core.configs.settings parses sys.argv at import time — importing core inside a process with unrelated --host/--port/--worker-port flags on argv silently repoints ports.
  12. Root CLAUDE.md documentation drift found as of this writing: version says 0.11.0 (actual 0.12.7 — shared/_version.py); migrations "001–021" (actual head is 028); docker-remote/ listed as a directory that doesn't exist (§4).
  13. In zsh, echo === breaks (== not found) if you paste separator lines from other shells — use --- instead; unrelated to the app but easy to trip over when scripting diagnostics.

11. State-inspection runbook

Copy-paste, in order, when a flow/schedule/run silently didn't do what you expected.

# 1. Which mode? (electron is the default if unset; compose sets docker)
echo "${FLOWFILE_MODE:-electron (unset)}"

# 2. Catalog DB: tables, migration head, recent runs, schedules, registrations
sqlite3 ~/.flowfile/database/flowfile_catalog.db '.tables'
sqlite3 ~/.flowfile/database/flowfile_catalog.db 'select * from alembic_version;'      # expect 028 as of 2026-07-03
sqlite3 ~/.flowfile/database/flowfile_catalog.db \
  'select id,flow_name,started_at,ended_at,success,pid from flow_runs order by id desc limit 10;'
sqlite3 ~/.flowfile/database/flowfile_catalog.db 'select * from flow_schedules;'
sqlite3 ~/.flowfile/database/flowfile_catalog.db 'select id,flow_path from flow_registrations;'
# In docker mode the DB is inside the flowfile-internal-storage volume at
# /app/internal_storage/database/flowfile_catalog.db

# 3. Read the flow's own log (or stream it live via GET /logs/{flow_id})
tail -100 ~/.flowfile/logs/flow_<flow_id>.log
# scheduled runs always log to the real home dir, regardless of FLOWFILE_STORAGE_DIR:
tail -100 ~/.flowfile/logs/scheduled_run_<run_id>.log

# 4. Worker offload / connectivity — core prints its resolved worker URL at startup
#    ("Worker configured at <WORKER_URL> (host: ..., port: ...)"); confirm co-hosting:
curl -s http://127.0.0.1:63578/single_mode

# 5. Stale worker-result cache (safe to delete; auto-cleans after 1h anyway)
ls ~/.flowfile/cache/<flow_id>/

# 6. Kernel containers (Python-script nodes) — host ports 19000-19999
docker ps --filter "name=flowfile-kernel"

# 7. Diagnose without touching live data — full isolation
FLOWFILE_DB_PATH=/tmp/ffdiag/cat.db \
FLOWFILE_STORAGE_DIR=/tmp/ffdiag/storage \
APPDATA=/tmp/ffdiag/appdata \
  poetry run python -m flowfile run flow /abs/path/to/flow.yaml
# add FLOWFILE_SKIP_STARTUP_MIGRATION=1 only if importing core against an
# ALREADY-migrated DB and you want to skip re-running Alembic (never on a fresh path)

# 8. Master-key problems in docker ("RuntimeError: Master key not configured...")
#    set FLOWFILE_MASTER_KEY or mount /run/secrets/flowfile_master_key; core and
#    worker must share the exact same key (compose passes it to both by default)

# 9. Docker stack logs / status
docker compose ps
docker compose logs -f flowfile-core
docker compose logs -f flowfile-worker

Provenance and maintenance

Volatile facts above need periodic re-verification — commands are copy-pasteable, run from the repo root.

  • App version (as of 2026-07-03: 0.12.7): cat shared/_version.py and grep -m1 '^version' pyproject.toml
  • Alembic migration head (as of 2026-07-03: 028): ls flowfile_core/flowfile_core/alembic/versions/ | sort | tail -3
  • CLI verbs/flags (§1): sed -n '196,293p' flowfile/flowfile/__main__.py
  • Import side effects (§2): sed -n '1,20p' flowfile/flowfile/__init__.py; sed -n '1,20p' flowfile_core/flowfile_core/__init__.py; sed -n '20,30p' flowfile_core/flowfile_core/database/init_db.py
  • Headless run paths (§3): flowfile/flowfile/__main__.py:run_flow, flowfile_core/flowfile_core/main.py:_run_flow_cli, shared/subprocess_utils.py:spawn_flow_subprocess
  • Scheduler poll interval / launch guard: grep -n "DEFAULT_POLL_INTERVAL\|_maybe_launch" flowfile_scheduler/flowfile_scheduler/engine.py
  • flowfile run ui host/port rejection (§1, §4): grep -n "NotImplementedError" flowfile/flowfile/web/__init__.py
  • Single-file mode env coupling: grep -n "SINGLE_FILE_MODE\|get_default_worker_url" flowfile_core/flowfile_core/configs/settings.py
  • Core startup/shutdown side effects (§4): grep -n "cleanup_directories\|clear_all_flow_logs\|shutdown_handler" flowfile_core/flowfile_core/main.py
  • docker-remote/ non-existence (§4): ls docker-remote 2>&1; git log --all --oneline -- docker-remote (both should be empty) — cross-check against grep -n docker-remote CLAUDE.md and re-read docs/users/deployment/docker.md for the current published-images story
  • Compose facts (§4): grep -n "shm_size\|FLOWFILE_SCHEDULER_ENABLED\|FLOWFILE_ENABLE_PROJECTS" docker-compose.yml
  • Flow save/load format (§5): grep -n "def save_flow" -A 40 flowfile_core/flowfile_core/flowfile/flow_graph.py; sed -n '1,50p' flowfile_core/flowfile_core/flowfile/manage/io_flowfile.py (look for _validate_flow_path, open_flow)
  • Storage directory table (§6): sed -n '1,280p' shared/storage_config.py (every @property under FlowfileStorage)
  • DB URL resolution order + table count (§6): sed -n '395,420p' shared/storage_config.py; grep -c '__tablename__' flowfile_core/flowfile_core/database/models.py
  • Catalog Delta layout (§7): grep -n "catalog_tables_directory\|file_path\|storage_format" flowfile_core/flowfile_core/database/models.py
  • Master key resolution (§8): sed -n '1,50p' flowfile_core/flowfile_core/auth/secrets.py (electron path), sed -n '140,220p' (docker path); grep -n "generate_key\|force_key\|KEY_FILE" Makefile
  • Log locations/formats (§9): grep -n "asctime" flowfile_core/flowfile_core/configs/flow_logger.py flowfile_worker/flowfile_worker/configs.py; grep -n '@router\.' flowfile_core/flowfile_core/routes/logs.py
  • Kernel host port range: grep -n "_BASE_PORT\|_PORT_RANGE" flowfile_core/flowfile_core/kernel/manager.py