Every log record now carries type ('http' for the request middleware
line, 'wrapper' for garmin execute() calls and forwarded wrapper.py
stderr, 'app' for everything else), class (Go type with package, or the
package/module for free functions), and method (the emitting Go/Python
function -- wrapper.py stamps it automatically, so its msg prefixes are
gone). msg is optional and omitted when empty; the redundant messages
('HTTP request', 'wrapper call', 'garmin wrapper stderr') are dropped,
the HTTP verb moves to http_method, source=garmin-wrapper is replaced by
type=wrapper, and the request_id middleware plumbing (applog
WithLogger/FromContext) is removed. applog.App(class, method) is the
tagging helper for app records.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Error responses from wrapper.py now carry error_type and traceback in
the protocol itself, logged as attrs on the Go side's per-call record.
wrapper.py's free-text stderr debug prints become JSON log lines
({level,msg,...attrs}); client.go parses that stream and re-emits it
through the application logger (level-mapped, source=garmin-wrapper),
wrapping any non-JSON line instead of passing it through raw. The
wrapper also survives malformed request lines and unserializable
results with JSON responses instead of crashing with a raw traceback.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Every log.Printf/Fatalf becomes a structured slog call through
internal/log: request handlers use the request-scoped logger
(applog.FromContext, carrying request_id), startup failures exit via a
fatal() helper that still emits JSON, and the seedsample/dumpschema CLIs
bootstrap the same JSON logger. Stale client_test expectations aligned
with the refactored wrapper-call logging (message casing, result attr,
ERROR level).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Garmin auth/sync routes move under /api/garmin/*; sync.Service becomes
garmin.Sync with garmin.SyncConfig/ClientConfig; applog becomes
internal/log; the test mock moves into the garmin package as MockClient
(breaking the test-only import cycle the merge created); stale test
URLs and type names updated to match.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
roundTrip now wraps the returned error with the new ErrNotFound
sentinel whenever the wrapper's response set not_found (Task 1),
letting any Client method's caller distinguish a definitive 404 from
a transient failure via errors.Is, regardless of which garminconnect
method was called.
Shorter, more conventional dotdir name than garmin-tokenstores. Restore
the "next to DBPath" join that got dropped when the default was
inlined via getEnvDefault -- an explicit GARMIN_TOKENSTORE still wins
verbatim, but the implicit default must still resolve relative to the
DB file's directory, not the process's CWD.
internal/garmin/client.go's GARMIN_TOKENSTORE env var is now always
set (TokenStorePath can no longer be empty), so the conditional that
only appended it when non-empty is dead code.
GetActivities/GetActivitySplits/GetActivityDetails/GetWorkoutByID now send
{"cmd":"call","params":{"method":...,"args":...}} instead of named MCP
tools. subprocessClient fully implements Client.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Structured {status, message} responses replace the old string
pattern-matching (parseAuthResult) -- both sides of the protocol are now
owned by this repo, so there's no need to guess at phrasing anymore.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
ensureStarted's stderr-copy goroutine could still be mid-Read when close()
called cmd.Wait(), which os/exec's StderrPipe docs call out as incorrect
and can truncate/garble trailing stderr diagnostics or surface a spurious
"file already closed" error. close() now waits on a stderrDone channel,
closed by the copy goroutine once it hits EOF (unblocked by killing the
process), before calling Wait.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
subprocessClient spawns the embedded pyscript/wrapper.py over os/exec and
speaks newline-delimited JSON instead of MCP. Auth/data methods land in
follow-up commits; this is the transport + lifecycle plumbing only.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
- GarminConnection now flushes Profile's pending debounced autosave before
connecting, avoiding a race where Connect fires with stale credentials.
- client.go reads res.Content before checking IsError so tool error
messages actually include mcp-garmin's response text.
- seedsample: update kind lookups to match current taxonomy names
("Easy Run" -> "Easy", "Interval" -> "Intervals").
- Add backend/start.sh and frontend/start.sh dev launch scripts, and
check in CLAUDE.md.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
- Remove duplicated Garmin fields from storage; decode display-only fields
(activity name/type, lap duration/HR, structured workout raw JSON) from
RawJSON at API-response time instead of storing redundant columns
- Add a fully configurable chart color system (pace/HR main-line colors, 4
effort-kind colors, tint/darken/brighten intensity knobs) under Profile >
Chart colors
- Rename training types and fix their display order (Easy, Long, 60'/30'
Threshold, Tempo, Intervals, MAS Test, Race) everywhere they're listed
- Add an Efficiency Factor progression metric; fix Progression chart axes to
use tight non-zero-based domains, m:ss/km pace formatting, and rounded
ticks instead of raw floating-point labels
- Expose the raw get_workout_by_id() payload in the raw-data viewer
alongside activity/lap/detail JSON; enlarge the modal and shrink array
indentation for readability
- Fix "last sync" reporting a meaningless activity count: record one
combined sync run per manual "Sync now" and count genuinely new
activities instead of re-listing whatever Garmin returned for the queried
window
- Let a Review Queue activity be manually cleared back to Unclassified, and
make "Reset all" available even while disconnected from Garmin
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Activities recorded from a structured Garmin workout carry a workoutId;
when its steps line up 1:1 with the recorded laps, the per-step target
pace/HR zone is resolved (via a Karvonen lookup for named zones) and stored
on each lap. The Review Queue plots it against the actual per-lap pace/HR
so the user can eyeball whether a run matches its plan while sorting it.
