|
2026-05-11T19:55:41.050300Z INFO screenpipe_engin 2026-05-11T19:55:41.050300Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: install a starter bundle of pipes:
screenpipe install https://screenpi.pe/start.json
2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)
2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)
2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart
2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1
2026-05-11T20:02:24.684324Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=1 rows_returned=197 elapsed=5.061547s
2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)
2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)
2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)
2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)
2026-05-11T20:05:46.190016Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=1 rows_returned=18 elapsed=1.745995375s
2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames
2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted
2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted
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whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found d...
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iTerm2
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screenpipe"
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NULL
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2026-05-11T19:55:41.050300Z INFO screenpipe_engin 2026-05-11T19:55:41.050300Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: install a starter bundle of pipes:
screenpipe install https://screenpi.pe/start.json
2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)
2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)
2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart
2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1
2026-05-11T20:02:24.684324Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=1 rows_returned=197 elapsed=5.061547s
2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)
2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)
2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)
2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)
2026-05-11T20:05:46.190016Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=1 rows_returned=18 elapsed=1.745995375s
2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames
2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted
2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted
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whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found d...
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iTerm2
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screenpipe"
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NULL
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|
2026-05-11T19:55:41.940193Z INFO screenpipe_engin 2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: wire screenpipe into claude with one command:
claude mcp add screenpipe -- npx -y screenpipe-mcp
then ask claude to build a pipe that tracks who you are, your todos, and how you spend your time from your screen activity
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: install a starter bundle of pipes:
screenpipe install https://screenpi.pe/start.json
2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)
2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)
2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart
2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1
2026-05-11T20:02:24.684324Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=1 rows_returned=197 elapsed=5.061547s
2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)
2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)
2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)
2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)
2026-05-11T20:05:46.190016Z WARN sqlx::query: summary="SELECT id, snapshot_path, device_name, …" db.statement="\n\nSELECT\n id,\n snapshot_path,\n device_name,\n timestamp\nFROM\n frames\nWHERE\n snapshot_path IS NOT NULL\n AND timestamp < ?1\nORDER BY\n device_name,\n timestamp ASC\nLIMIT\n 5000\n" rows_affected=1 rows_returned=18 elapsed=1.745995375s
2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames
2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted
2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = ...
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Firefox File Edit View<→cHistory BookmarksProfilesToolsWindow Help• = @ meet.google.com/agt-teir-cwt?authuser=lukas.kovalik%40jiminny.comf Support Daily • in 4h 50m 0 *100% C47 8• Thu 7 May 10:10:49(60)Returning to home screenYou left the meetingRejoinReturn to home screenHow was the audio and video?Very badVery goodSộ3• Feedback...
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3 files committed
JY-20818 move ask jiminny report 3 files committed
JY-20818 move ask jiminny reports to its own datadog metric
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SELECT * FROM teams WHERE id = 1;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;
SELECT * FROM crm_fields WHERE id = 2234;
SELECT * FROM crm_field_values WHERE crm_field_id = 2234;
select * from crm_profiles where user_id = 143;
select * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO
select * from business_processes where crm_configuration_id = 39;
# 01941000000H669AAC, 01941000000H66JAAS
select * from record_type_field_values
where record_type_id IN (24);
select * from crm_field_values where id IN (2730);
select * from crm_configurations where id = 39;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce'; #1035
select * from users where team_id = 1; # 222 group 3
SELECT * FROM activities WHERE user_id = 222 order by id desc;
select * from sidekick_settings where team_id = 1;
select * from teams where id = 1;
select * from team_features where team_id = 1;
select * from activities where crm_configuration_id = 2
and provider = 'ms-teams' and id = 608765;
SELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';
select * from sidekick_settings where team_id = 2;
SELECT * FROM activities WHERE id = 608660;
select * from activity_summary_logs where activity_id = 608660;
select * from ai_prompts where transcription_id = 11214;
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;
# id: 608818, crm: 59628809737
SELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;
# id: 608821, crm: 59632069252
SELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,
playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,
scheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at
FROM activities a
join calendar_events ce on a.calendar_event_id = ce.id
WHERE a.id IN (608818, 608821);
select * from users where team_id = 1;
select * from team_settings where team_id = 1;
select * from crm_profiles where crm_configuration_id = 39 order by user_id;
select * from team_features where team_id = 1;
select * from users where team_id = 2;
SELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639
# Preslava N. Ivanova, grou id 3
SELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;
select * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';
select
a.id,
a.type,
a.scheduled_start_time,
a.actual_start_time,
a.created_at,
a.opportunity_id,
a.status
FROM activities a
WHERE opportunity_id = 344
and status IN ('completed', 'received', 'delivered')
and (
(a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))
;
SELECT * FROM users WHERE id = 222;
SELECT * FROM crm_profiles WHERE user_id = 222;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;
select * from group_deal_risk_types;
select * from opportunities where team_id = 1;
SELECT * FROM opportunities WHERE id = 315;
SELECT * FROM crm_field_data WHERE object_id = 315;
select * from crm_field_data where object_id = 260;
select * from generic_ai_prompts where subject_id = 315;
select * from teams; # 36, 21, 121, [EMAIL]
SELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';
# [PASSWORD_DOTS]
select * from teams where id = 1;
select * from crm_configurations where id = 39;
select * from users where team_id = 1;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 1;
# 1 - 00541000004281rAAA
# 204 - 0052g000003freeAAA
# 429 - 0052g000003qGOiAAM
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
select * from activities where type = 'softphone'
and created_at > '2024-12-11 15:24:36' order by id desc;
select * from activity_providers where team_id = 1;
select * from activity_provider_users where activity_provider_id = 328;
select * from opportunities where crm_configuration_id = 39
AND account_id = 178 AND is_closed = false
order by created_at DESC;
select * from contacts where id = 3952;
select * from accounts where id = 178;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations where id = 21;
select * from users where team_id = 36;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 36;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 36
and sa.provider = 'bullhorn';
select * from social_accounts where id = 348;
UPDATE social_accounts SET
provider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',
provider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',
expires = 1733998131,
state = 'connected'
WHERE id = 348;
# [PASSWORD_DOTS]
select * from teams where id = 31;
select * from crm_configurations where id = 18;
select * from users where team_id = 31; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 31;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 31
and sa.provider = 'close';
select * from contacts where crm_configuration_id = 18;
# [PASSWORD_DOTS] NEPTUNE [PASSWORD_DOTS]
select * from teams;
select * from users where id IN (1030, 1035, 1052);
select * from crm_configurations;
select * from users where team_id = 65; # 257
select * from team_settings where team_id = 65; # 257
select * from invitations where team_id = 65; # 257
select * from users where email = '[EMAIL]'; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 65;
select * from crm_configurations where id = 53;
select * from accounts where crm_configuration_id = 53 order by id desc;
select * from leads where crm_configuration_id = 53 order by id desc;
select * from contacts where crm_configuration_id = 53 order by id desc;
select * from opportunities where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 53 order by id desc;
select * from crm_fields where crm_configuration_id = 53 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 53 order by id desc;
select * from stages where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 13;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
and sa.provider = 'integration-app';
select * from contacts where crm_configuration_id = 13;
select * from social_accounts where sociable_id = 283;
SELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';
select * from activity_providers where team_id = 65;
SELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
;
# [PASSWORD_DOTS] STAGING [PASSWORD_DOTS]
SELECT * FROM teams;
SELECT * FROM teams WHERE id = 88;
SELECT * FROM teams WHERE id = 89;
select * from team_settings where team_id = 89;
SELECT * FROM users WHERE team_id = 89;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 89;
select * from users;
SELECT * FROM social_accounts WHERE sociable_id = 1761;
SELECT * FROM crm_configurations WHERE id = 70;
select * from accounts where crm_configuration_id = 70 order by id desc;
select * from leads where crm_configuration_id = 70 order by id desc;
select * from contacts where crm_configuration_id = 70 order by id desc;
select * from opportunities where crm_configuration_id = 70 order by id desc;
select * from crm_profiles where crm_configuration_id = 70 order by id desc;
select * from crm_fields where crm_configuration_id = 70 order by id desc;
select * from crm_field_values where crm_field_id = 3536 order by id desc;
select * from crm_layouts where crm_configuration_id = 70 order by id desc;
select * from stages where crm_configuration_id = 70 order by id desc;
select * from business_processes where crm_configuration_id = 70 order by id desc;
select * from business_process_stages where business_process_id = 34;
select * from contacts where id = 10468;
select * from crm_layouts where crm_configuration_id = 70;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;
SELECT * FROM crm_fields WHERE id IN (3533,3534,3535);
select * from activities where crm_configuration_id = 70
and (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;
SELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;
SELECT * FROM activities where crm_configuration_id = 69 ;
SELECT * FROM users WHERE email LIKE '%[EMAIL]%';
SELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;
SELECT * FROM opportunities WHERE id = 385;
select * from participants p
join activities a on p.activity_id = a.id
where a.crm_configuration_id = 70
and (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);
SELECT * FROM participants WHERE id = 1013638;
select * from teams where id = 90;
select * from users where team_id = 90;
select * from social_accounts where social_accounts.sociable_id IN (1960,1760);
SELECT * FROM crm_profiles WHERE crm_configuration_id = 71;
select * from invitations where team_id = 90;
select * from crm_configurations where id = 71;
select * from accounts where crm_configuration_id = 71 order by id desc;
select * from leads where crm_configuration_id = 71 order by id desc;
select * from contacts where crm_configuration_id = 71 order by id desc;
select * from opportunities where crm_configuration_id = 71 order by id desc;
select * from crm_profiles where crm_configuration_id = 71 order by id desc;
select * from crm_fields where crm_configuration_id = 71 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 71 order by id desc;
select * from stages where crm_configuration_id = 71 order by id desc;
select * from users order by secondary_email desc;
select u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa
join users u on sa.sociable_id = u.id
where sa.provider = 'google' and u.email LIKE 'aneliya%';
select * from failed_jobs order by id desc;
select * from users where email = '[EMAIL]' or secondary_email = '[EMAIL]';
select * from teams;
SELECT * FROM crm_profiles WHERE crm_configuration_id = 39;
SELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;
SELECT * FROM crm_configurations WHERE id = 70;
select * from teams where id = 1;
select * from groups where team_id = 1;
select * from users where team_id = 1;
select o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o
join users u on o.user_id = u.id
join groups g on u.group_id = g.id
join role_user ru on u.id = ru.user_id
join roles r on ru.role_id = r.id
where o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';
select * from role_user where user_id = 143;
select * from roles;
select * from role_user;
select * from groups where id = 9;
select * from scope_groups where group_id = 9;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations;
SELECT * FROM social_accounts WHERE sociable_id = 121;
https://crmsandbox.zoho.com/crm/jiminnyw4/tab/Leads/4776201000005049105
https://crmsandbox.zoho.com/crm/
https://crm.zoho.com/crm/org3469620/tab/Leads/230045000229559080
https://crm.zoho.com/crm/
org3469620
SELECT * FROM activities WHERE uuid_to_bin('03382d20-c8bc-48e7-a3d4-90b52fa5ceab') = uuid;
select * from users where email LIKE "%mobile_automation_%";
select * from social_accounts where sociable_id IN (2228);
select * from crm_profiles where user_id IN (2222,2223,2226,2227);
select * from teams order by id desc;
SELECT * FROM users WHERE id = 2229;
SELECT * FROM crm_profiles WHERE user_id = 2229;
select * from opportunities where crm_configuration_id = 88;
select * from crm_fields where crm_configuration_id = 88;
select * from crm_profiles where crm_configuration_id = 88;
SELECT * FROM teams WHERE id = 1;
SELECT * FROM users WHERE id = 143;
SELECT * FROM users WHERE uuid_to_bin('fde193d3-06a2-4e1a-8895-62b94039215d') = uuid;
SELECT * FROM teams WHERE uuid_to_bin('73385071-a756-42ae-9c73-8b53f2309467') = uuid;
https://app.staging.jiminny.com/ondemand?
min_duration=1
&
only_recorded=1
&
user_id%5B%5D=641f1acb-16b8-42d1-8726-df52979dad0e
&
sequence_number=2
select * from users where team_id = 1 and email like '%stoyan%'
select * from coaching_feedbacks;
select * from teams;
SELECT * FROM users WHERE team_id = 36;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 19
and sa.provider = 'pipedrive';
select * from users where id = 143;
SELECT * FROM users WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;
SELECT * FROM teams WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;
SELECT * FROM activity_shares WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;
select * from users where team_id = 2;
select * from activities where crm_configuration_id = 39
and activities.scheduled_start_time BETWEEN '2025-04-09 00:00:00' AND '2025-04-09 23:59:59'
AND user_id = 143
order by id desc;
# [PASSWORD_DOTS]
select * from teams where id = 142; # 2312, 126
select * from team_settings;
select * from users where team_id = 142; # 21642
SELECT * FROM social_accounts WHERE sociable_id = 21642;
SELECT * FROM crm_profiles cp join users u ON u.id = cp.user_id WHERE team_id = 142;
select * from crm_profiles where id IN (93);
select * from invitations;
select * from team_features where team_id = 1;
SELECT * FROM crm_configurations WHERE id = 126;
select * from accounts where crm_configuration_id = 126 order by id desc;
select * from leads where crm_configuration_id = 126 order by id desc;
select * from contacts where crm_configuration_id = 126 order by id desc;
select * from opportunities where crm_configuration_id = 126 order by id desc;
select * from crm_profiles where crm_configuration_id = 126 order by id desc;
select * from crm_fields where crm_configuration_id = 126 # 11060
# and type IN ('picklist', 'status')
# and object_type = 'task'
order by id desc;
# 5731,5732,5733
select DISTINCT crm_field_id from crm_field_values where crm_field_id IN (11151,12239,12215,12185,12175,12165,12144,12137,12127,12109,12107,12105,12103,12092,12037,12005,12003,11987,11969,11958,11951,11942,11931,11924,11921,11917,11915,11901,11893,11883,11872,11870,11868,11866,11839,11833,11821,11793,11780,11777,11769,11757,11737,11735,11656,11645,11638,11629,11618,11611,11602,11591,11584,11581,11558,11544,11543,11534,11532,11529,11527,11503,11497,11493,11488,11470,11468,11457,11455,11397,11387,11372,11363,11348,11323,11318,11309,11301,11300,11292,11290,11286,11284,11256,11252,11242,11237,11233,11219,11176,11160) order by id desc;
select * from crm_layouts where crm_configuration_id = 126 order by id desc;
SELECT * FROM crm_layout_entities WHERE crm_layout_id in (300,299,298);
select * from stages where crm_configuration_id = 126 order by id desc;
select * from business_processes where crm_configuration_id = 126 order by id desc;
select * from business_process_stages where business_process_id IN (76,75,74,73);
select * from playbooks where team_id = 142;
select * from playbook_layouts where playbook_id IN (108);
SELECT * FROM playbook_categories WHERE playbook_id IN (108);
select * from teams where id = 130;
SELECT * FROM social_accounts WHERE sociable_id = 2291;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 2
and sa.provider = 'hubspot';
SELECT * FROM activities
WHERE crm_configuration_id = 110;
select * from teams;
select * from crm_configurations;
SELECT * FROM activities WHERE id = 628773;
SELECT * FROM crm_profiles WHERE user_id = 1460;
SELECT * FROM social_accounts WHERE sociable_id = 2291;
select * from teams;
select ru.*, pr.*, p.* from users u join role_user ru on ru.user_id = u.id
join permission_role pr on pr.role_id = ru.role_id
join permissions p on p.id = pr.permission_id
where team_id = 495 and p.name IN ('dial');
select * from teams where id = 145;
select * from crm_configurations where id = 129;
select * from social_accounts where sociable_id = 2317;
SELECT * FROM activities WHERE uuid_to_bin('8dbab184-a333-4268-ad57-fb41f8d53a9a') = uuid;
select * from teams where id = 1;
SELECT * FROM crm_layouts WHERE crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 280;
SELECT * FROM crm_layout_entities WHERE id = 5507;
SELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type IN ('event');
select * from teams;
select * from activities where crm_configuration_id = 14;
SELECT * FROM social_accounts where provider = 'copper';
select * from activities where id = 628467;
select * from participants where activity_id = 628467;
SELECT * FROM contacts WHERE id = 3969;
SELECT * FROM accounts WHERE id = 177;
SELECT * FROM activities WHERE uuid_to_bin('4eb54c77-cfa3-2bd4-84a7-9ed46a21c988') = uuid;
# [PASSWORD_DOTS] BH
select * from teams where id = 36;
SELECT * FROM crm_configurations WHERE id = 21;
select * from activities where crm_configuration_id = 21 and id = 607901;
select * from activities where crm_configuration_id = 21;
select * roles;
select * from permissions;
select * from permission_role where permission_id = 226;
select * from migrations order by id desc;
# mercury
# neptune
# earth
select * from teams;
select * from teams where id = 19;
select * from teams where id = 27;
select * from users where team_id = 27;
SELECT * FROM crm_configurations WHERE id = 42;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 19
and sa.provider = 'pipedrive';
select * from activities where id = 631461;
SELECT * FROM crm_field_values WHERE crm_field_id = 180;
select * from teams where id = 2;
SELECT * FROM social_accounts WHERE sociable_id = 89;
SELECT * FROM activities WHERE uuid_to_bin('ba0c029a-bc14-4e17-8603-64174acebcbb') = uuid; # 634273
select * from activity_summary_logs where activity_id = 634273;
select * from sidekick_settings where team_id = 2;
select * from teams; # 2, 2
SELECT * FROM crm_configurations WHERE team_id = 2; # 2
select * from team_features where team_id = 2;
select * from features;
SELECT * FROM opportunities WHERE crm_configuration_id = 2 and crm_provider_id = '51317301383';
SELECT * FROM opportunities WHERE crm_configuration_id = 2 order by id desc;
select * from automated_reports order by id desc;
select * from automated_report_results order by id desc;
select * from users where team_id = 1 and id IN (7160, 3248);
select * from migrations order by id desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1052 and sa.provider = 'hubspot';
select * from teams where id = 1;
select * from groups g JOIN playbooks p on g.playbook_id = p.id where g.team_id = 1;
select * from groups where id = 565;
select * from playbooks where team_id = 1;
select * from playbooks where id = 175;
select * from playbook_categories where playbook_id = 175;
select * from users where team_id = 1052;
select * from users where id = 7160;
select * from crm_profiles where user_id = 7160;
select * from features;
select
*
# id, uuid, type, provider, playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id, stage_id,
# crm_configuration_id, crm_provider_id, transcription_id, status
from activities where crm_configuration_id = 1 and type = 'conference'
# and crm_provider_id IS NOT NULL
and provider != 'uploader' and actual_start_time IS NOT NULL
ORDER by id desc;
select * from activities where id = 54747783; # 00UO400000pCzojMAC
select p.id, p.activity_type, pc.id, pc.name
FROM playbooks p
join playbook_categories pc on p.id = pc.playbook_id
where p.team_id = 1 and p.activity_type = 'event';
SELECT * FROM crm_fields WHERE crm_configuration_id = 1 and object_type = 'event';
SELECT * FROM crm_field_values WHERE crm_field_id = 4;
select * from crm_layouts cl join playbook_layouts pl on cl.id = pl.layout_id
where crm_configuration_id = 1 and pl.playbook_id = 175;
select * from teams;
SELECT r.* FROM automated_reports r
join teams t on r.team_id = t.id
WHERE r.frequency = 'daily'
and r.status = 1
AND t.status = 'active'
AND (r.expires_at >= now() OR r.expires_at IS NULL);
select * from automated_report_results where report_id IN (18, 33);
select * from activity_searches where id = 10932;
select * from activity_search_filters where activity_search_id = 10932;
select * from automated_reports order by id desc;
select * from automated_report_results order by id desc;
select * from automated_reports where id IN (55);
select * from automated_report_results where id IN (81);
select * from users where id IN (10633, 13987, 11985);
select * from users where group_id IN (3710);
SELECT * FROM automated_reports WHERE uuid_to_bin('18a06a75-afd2-476f-aadc-14d4057bdda2') = uuid;
SELECT * FROM automated_report_results WHERE uuid_to_bin('582d4b50-8cd3-42a9-9819-d676ff8f3b43') = uuid;
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JY-20818 move ask jiminny report 3 files committed
JY-20818 move ask jiminny reports to its own datadog metric
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SELECT * FROM teams WHERE id = 1;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;
SELECT * FROM crm_fields WHERE id = 2234;
SELECT * FROM crm_field_values WHERE crm_field_id = 2234;
select * from crm_profiles where user_id = 143;
select * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO
select * from business_processes where crm_configuration_id = 39;
# 01941000000H669AAC, 01941000000H66JAAS
select * from record_type_field_values
where record_type_id IN (24);
select * from crm_field_values where id IN (2730);
select * from crm_configurations where id = 39;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce'; #1035
select * from users where team_id = 1; # 222 group 3
SELECT * FROM activities WHERE user_id = 222 order by id desc;
select * from sidekick_settings where team_id = 1;
select * from teams where id = 1;
select * from team_features where team_id = 1;
select * from activities where crm_configuration_id = 2
and provider = 'ms-teams' and id = 608765;
SELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';
select * from sidekick_settings where team_id = 2;
SELECT * FROM activities WHERE id = 608660;
select * from activity_summary_logs where activity_id = 608660;
select * from ai_prompts where transcription_id = 11214;
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;
# id: 608818, crm: 59628809737
SELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;
# id: 608821, crm: 59632069252
SELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,
playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,
scheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at
FROM activities a
join calendar_events ce on a.calendar_event_id = ce.id
WHERE a.id IN (608818, 608821);
select * from users where team_id = 1;
select * from team_settings where team_id = 1;
select * from crm_profiles where crm_configuration_id = 39 order by user_id;
select * from team_features where team_id = 1;
select * from users where team_id = 2;
SELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639
# Preslava N. Ivanova, grou id 3
SELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;
select * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';
select
a.id,
a.type,
a.scheduled_start_time,
a.actual_start_time,
a.created_at,
a.opportunity_id,
a.status
FROM activities a
WHERE opportunity_id = 344
and status IN ('completed', 'received', 'delivered')
and (
(a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))
;
SELECT * FROM users WHERE id = 222;
SELECT * FROM crm_profiles WHERE user_id = 222;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;
select * from group_deal_risk_types;
select * from opportunities where team_id = 1;
SELECT * FROM opportunities WHERE id = 315;
SELECT * FROM crm_field_data WHERE object_id = 315;
select * from crm_field_data where object_id = 260;
select * from generic_ai_prompts where subject_id = 315;
select * from teams; # 36, 21, 121, [EMAIL]
SELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';
# [PASSWORD_DOTS]
select * from teams where id = 1;
select * from crm_configurations where id = 39;
select * from users where team_id = 1;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 1;
# 1 - 00541000004281rAAA
# 204 - 0052g000003freeAAA
# 429 - 0052g000003qGOiAAM
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
select * from activities where type = 'softphone'
and created_at > '2024-12-11 15:24:36' order by id desc;
select * from activity_providers where team_id = 1;
select * from activity_provider_users where activity_provider_id = 328;
select * from opportunities where crm_configuration_id = 39
AND account_id = 178 AND is_closed = false
order by created_at DESC;
select * from contacts where id = 3952;
select * from accounts where id = 178;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations where id = 21;
select * from users where team_id = 36;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 36;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 36
and sa.provider = 'bullhorn';
select * from social_accounts where id = 348;
UPDATE social_accounts SET
provider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',
provider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',
expires = 1733998131,
state = 'connected'
WHERE id = 348;
# [PASSWORD_DOTS]
select * from teams where id = 31;
select * from crm_configurations where id = 18;
select * from users where team_id = 31; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 31;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 31
and sa.provider = 'close';
select * from contacts where crm_configuration_id = 18;
# [PASSWORD_DOTS] NEPTUNE [PASSWORD_DOTS]
select * from teams;
select * from users where id IN (1030, 1035, 1052);
select * from crm_configurations;
select * from users where team_id = 65; # 257
select * from team_settings where team_id = 65; # 257
select * from invitations where team_id = 65; # 257
select * from users where email = '[EMAIL]'; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 65;
select * from crm_configurations where id = 53;
select * from accounts where crm_configuration_id = 53 order by id desc;
select * from leads where crm_configuration_id = 53 order by id desc;
select * from contacts where crm_configuration_id = 53 order by id desc;
select * from opportunities where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 53 order by id desc;
select * from crm_fields where crm_configuration_id = 53 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 53 order by id desc;
select * from stages where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 13;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
and sa.provider = 'integration-app';
select * from contacts where crm_configuration_id = 13;
select * from social_accounts where sociable_id = 283;
SELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';
select * from activity_providers where team_id = 65;
SELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
;
# [PASSWORD_DOTS] STAGING [PASSWORD_DOTS]
SELECT * FROM teams;
SELECT * FROM teams WHERE id = 88;
SELECT * FROM teams WHERE id = 89;
select * from team_settings where team_id = 89;
SELECT * FROM users WHERE team_id = 89;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 89;
select * from users;
SELECT * FROM social_accounts WHERE sociable_id = 1761;
SELECT * FROM crm_configurations WHERE id = 70;
select * from accounts where crm_configuration_id = 70 order by id desc;
select * from leads where crm_configuration_id = 70 order by id desc;
select * from contacts where crm_configuration_id = 70 order by id desc;
select * from opportunities where crm_configuration_id = 70 order by id desc;
select * from crm_profiles where crm_configuration_id = 70 order by id desc;
select * from crm_fields where crm_configuration_id = 70 order by id desc;
select * from crm_field_values where crm_field_id = 3536 order by id desc;
select * from crm_layouts where crm_configuration_id = 70 order by id desc;
select * from stages where crm_configuration_id = 70 order by id desc;
select * from business_processes where crm_configuration_id = 70 order by id desc;
select * from business_process_stages where business_process_id = 34;
select * from contacts where id = 10468;
select * from crm_layouts where crm_configuration_id = 70;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;
SELECT * FROM crm_fields WHERE id IN (3533,3534,3535);
select * from activities where crm_configuration_id = 70
and (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;
SELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;
SELECT * FROM activities where crm_configuration_id = 69 ;
SELECT * FROM users WHERE email LIKE '%[EMAIL]%';
SELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;
SELECT * FROM opportunities WHERE id = 385;
select * from participants p
join activities a on p.activity_id = a.id
where a.crm_configuration_id = 70
and (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);
SELECT * FROM participants WHERE id = 1013638;
select * from teams where id = 90;
select * from users where team_id = 90;
select * from social_accounts where social_accounts.sociable_id IN (1960,1760);
SELECT * FROM crm_profiles WHERE crm_configuration_id = 71;
select * from invitations where team_id = 90;
select * from crm_configurations where id = 71;
select * from accounts where crm_configuration_id = 71 order by id desc;
select * from leads where crm_configuration_id = 71 order by id desc;
select * from contacts where crm_configuration_id = 71 order by id desc;
select * from opportunities where crm_configuration_id = 71 order by id desc;
select * from crm_profiles where crm_configuration_id = 71 order by id desc;
select * from crm_fields where crm_configuration_id = 71 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 71 order by id desc;
select * from stages where crm_configuration_id = 71 order by id desc;
select * from users order by secondary_email desc;
select u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa
join users u on sa.sociable_id = u.id
where sa.provider = 'google' and u.email LIKE 'aneliya%';
select * from failed_jobs order by id desc;
select * from users where email = '[EMAIL]' or secondary_email = '[EMAIL]';
select * from teams;
SELECT * FROM crm_profiles WHERE crm_configuration_id = 39;
SELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;
SELECT * FROM crm_configurations WHERE id = 70;
select * from teams where id = 1;
select * from groups where team_id = 1;
select * from users where team_id = 1;
select o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o
join users u on o.user_id = u.id
join groups g on u.group_id = g.id
join role_user ru on u.id = ru.user_id
join roles r on ru.role_id = r.id
where o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';
select * from role_user where user_id = 143;
select * from roles;
select * from role_user;
select * from groups where id = 9;
select * from scope_groups where group_id = 9;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations;
SELECT * FROM social_accounts WHERE sociable_id = 121;
https://crmsandbox.zoho.com/crm/jiminnyw4/tab/Leads/4776201000005049105
https://crmsandbox.zoho.com/crm/
https://crm.zoho.com/crm/org3469620/tab/Leads/230045000229559080
https://crm.zoho.com/crm/
org3469620
SELECT * FROM activities WHERE uuid_to_bin('03382d20-c8bc-48e7-a3d4-90b52fa5ceab') = uuid;
select * from users where email LIKE "%mobile_automation_%";
select * from social_accounts where sociable_id IN (2228);
select * from crm_profiles where user_id IN (2222,2223,2226,2227);
select * from teams order by id desc;
SELECT * FROM users WHERE id = 2229;
SELECT * FROM crm_profiles WHERE user_id = 2229;
select * from opportunities where crm_configuration_id = 88;
select * from crm_fields where crm_configuration_id = 88;
select * from crm_profiles where crm_configuration_id = 88;
SELECT * FROM teams WHERE id = 1;
SELECT * FROM users WHERE id = 143;
SELECT * FROM users WHERE uuid_to_bin('fde193d3-06a2-4e1a-8895-62b94039215d') = uuid;
SELECT * FROM teams WHERE uuid_to_bin('73385071-a756-42ae-9c73-8b53f2309467') = uuid;
https://app.staging.jiminny.com/ondemand?
min_duration=1
&
only_recorded=1
&
user_id%5B%5D=641f1acb-16b8-42d1-8726-df52979dad0e
&
sequence_number=2
select * from users where team_id = 1 and email like '%stoyan%'
select * from coaching_feedbacks;
select * from teams;
SELECT * FROM users WHERE team_id = 36;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 19
and sa.provider = 'pipedrive';
select * from users where id = 143;
SELECT * FROM users WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;
SELECT * FROM teams WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;
SELECT * FROM activity_shares WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;
select * from users where team_id = 2;
select * from activities where crm_configuration_id = 39
and activities.scheduled_start_time BETWEEN '2025-04-09 00:00:00' AND '2025-04-09 23:59:59'
AND user_id = 143
order by id desc;
# [PASSWORD_DOTS]
select * from teams where id = 142; # 2312, 126
select * from team_settings;
select * from users where team_id = 142; # 21642
SELECT * FROM social_accounts WHERE sociable_id = 21642;
SELECT * FROM crm_profiles cp join users u ON u.id = cp.user_id WHERE team_id = 142;
select * from crm_profiles where id IN (93);
select * from invitations;
select * from team_features where team_id = 1;
SELECT * FROM crm_configurations WHERE id = 126;
select * from accounts where crm_configuration_id = 126 order by id desc;
select * from leads where crm_configuration_id = 126 order by id desc;
select * from contacts where crm_configuration_id = 126 order by id desc;
select * from opportunities where crm_configuration_id = 126 order by id desc;
select * from crm_profiles where crm_configuration_id = 126 order by id desc;
select * from crm_fields where crm_configuration_id = 126 # 11060
# and type IN ('picklist', 'status')
# and object_type = 'task'
order by id desc;
# 5731,5732,5733
select DISTINCT crm_field_id from crm_field_values where crm_field_id IN (11151,12239,12215,12185,12175,12165,12144,12137,12127,12109,12107,12105,12103,12092,12037,12005,12003,11987,11969,11958,11951,11942,11931,11924,11921,11917,11915,11901,11893,11883,11872,11870,11868,11866,11839,11833,11821,11793,11780,11777,11769,11757,11737,11735,11656,11645,11638,11629,11618,11611,11602,11591,11584,11581,11558,11544,11543,11534,11532,11529,11527,11503,11497,11493,11488,11470,11468,11457,11455,11397,11387,11372,11363,11348,11323,11318,11309,11301,11300,11292,11290,11286,11284,11256,11252,11242,11237,11233,11219,11176,11160) order by id desc;
select * from crm_layouts where crm_configuration_id = 126 order by id desc;
SELECT * FROM crm_layout_entities WHERE crm_layout_id in (300,299,298);
select * from stages where crm_configuration_id = 126 order by id desc;
select * from business_processes where crm_configuration_id = 126 order by id desc;
select * from business_process_stages where business_process_id IN (76,75,74,73);
select * from playbooks where team_id = 142;
select * from playbook_layouts where playbook_id IN (108);
SELECT * FROM playbook_categories WHERE playbook_id IN (108);
select * from teams where id = 130;
SELECT * FROM social_accounts WHERE sociable_id = 2291;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 2
and sa.provider = 'hubspot';
SELECT * FROM activities
WHERE crm_configuration_id = 110;
select * from teams;
select * from crm_configurations;
SELECT * FROM activities WHERE id = 628773;
SELECT * FROM crm_profiles WHERE user_id = 1460;
SELECT * FROM social_accounts WHERE sociable_id = 2291;
select * from teams;
select ru.*, pr.*, p.* from users u join role_user ru on ru.user_id = u.id
join permission_role pr on pr.role_id = ru.role_id
join permissions p on p.id = pr.permission_id
where team_id = 495 and p.name IN ('dial');
select * from teams where id = 145;
select * from crm_configurations where id = 129;
select * from social_accounts where sociable_id = 2317;
SELECT * FROM activities WHERE uuid_to_bin('8dbab184-a333-4268-ad57-fb41f8d53a9a') = uuid;
select * from teams where id = 1;
SELECT * FROM crm_layouts WHERE crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 280;
SELECT * FROM crm_layout_entities WHERE id = 5507;
SELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type IN ('event');
select * from teams;
select * from activities where crm_configuration_id = 14;
SELECT * FROM social_accounts where provider = 'copper';
select * from activities where id = 628467;
select * from participants where activity_id = 628467;
SELECT * FROM contacts WHERE id = 3969;
SELECT * FROM accounts WHERE id = 177;
SELECT * FROM activities WHERE uuid_to_bin('4eb54c77-cfa3-2bd4-84a7-9ed46a21c988') = uuid;
# [PASSWORD_DOTS] BH
select * from teams where id = 36;
SELECT * FROM crm_configurations WHERE id = 21;
select * from activities where crm_configuration_id = 21 and id = 607901;
select * from activities where crm_configuration_id = 21;
select * roles;
select * from permissions;
select * from permission_role where permission_id = 226;
select * from migrations order by id desc;
# mercury
# neptune
# earth
select * from teams;
select * from teams where id = 19;
select * from teams where id = 27;
select * from users where team_id = 27;
SELECT * FROM crm_configurations WHERE id = 42;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 19
and sa.provider = 'pipedrive';
select * from activities where id = 631461;
SELECT * FROM crm_field_values WHERE crm_field_id = 180;
select * from teams where id = 2;
SELECT * FROM social_accounts WHERE sociable_id = 89;
SELECT * FROM activities WHERE uuid_to_bin('ba0c029a-bc14-4e17-8603-64174acebcbb') = uuid; # 634273
select * from activity_summary_logs where activity_id = 634273;
select * from sidekick_settings where team_id = 2;
select * from teams; # 2, 2
SELECT * FROM crm_configurations WHERE team_id = 2; # 2
select * from team_features where team_id = 2;
select * from features;
SELECT * FROM opportunities WHERE crm_configuration_id = 2 and crm_provider_id = '51317301383';
SELECT * FROM opportunities WHERE crm_configuration_id = 2 order by id desc;
select * from automated_reports order by id desc;
select * from automated_report_results order by id desc;
select * from users where team_id = 1 and id IN (7160, 3248);
select * from migrations order by id desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1052 and sa.provider = 'hubspot';
select * from teams where id = 1;
select * from groups g JOIN playbooks p on g.playbook_id = p.id where g.team_id = 1;
select * from groups where id = 565;
select * from playbooks where team_id = 1;
select * from playbooks where id = 175;
select * from playbook_categories where playbook_id = 175;
select * from users where team_id = 1052;
select * from users where id = 7160;
select * from crm_profiles where user_id = 7160;
select * from features;
select
*
# id, uuid, type, provider, playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id, stage_id,
# crm_configuration_id, crm_provider_id, transcription_id, status
from activities where crm_configuration_id = 1 and type = 'conference'
# and crm_provider_id IS NOT NULL
and provider != 'uploader' and actual_start_time IS NOT NULL
ORDER by id desc;
select * from activities where id = 54747783; # 00UO400000pCzojMAC
select p.id, p.activity_type, pc.id, pc.name
FROM playbooks p
join playbook_categories pc on p.id = pc.playbook_id
where p.team_id = 1 and p.activity_type = 'event';
SELECT * FROM crm_fields WHERE crm_configuration_id = 1 and object_type = 'event';
SELECT * FROM crm_field_values WHERE crm_field_id = 4;
select * from crm_layouts cl join playbook_layouts pl on cl.id = pl.layout_id
where crm_configuration_id = 1 and pl.playbook_id = 175;
select * from teams;
SELECT r.* FROM automated_reports r
join teams t on r.team_id = t.id
WHERE r.frequency = 'daily'
and r.status = 1
AND t.status = 'active'
AND (r.expires_at >= now() OR r.expires_at IS NULL);
select * from automated_report_results where report_id IN (18, 33);
select * from activity_searches where id = 10932;
select * from activity_search_filters where activity_search_id = 10932;
select * from automated_reports order by id desc;
select * from automated_report_results order by id desc;
select * from automated_reports where id IN (55);
select * from automated_report_results where id IN (81);
select * from users where id IN (10633, 13987, 11985);
select * from users where group_id IN (3710);
SELECT * FROM automated_reports WHERE uuid_to_bin('18a06a75-afd2-476f-aadc-14d4057bdda2') = uuid;
SELECT * FROM automated_report_results WHERE uuid_to_bin('582d4b50-8cd3-42a9-9819-d676ff8f3b43') = uuid;
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<?php
declare(strict_types=1);
namespace Tests\Unit\Services\Kiosk\AutomatedReports;
use ChaseConey\LaravelDatadogHelper\Datadog;
use Jiminny\Component\Datadog\Constants as DatadogConstants;
use Jiminny\Models\AutomatedReport;
use Jiminny\Models\AutomatedReportResult;
use Jiminny\Models\Team;
use Jiminny\Services\Kiosk\AutomatedReports\AutomatedReportsCallbackService;
use Jiminny\Services\Kiosk\AutomatedReports\AutomatedReportsService;
use Mockery;
use Tests\TestCase;
class AutomatedReportsCallbackServiceTest extends TestCase
{
private AutomatedReportsCallbackService $service;
protected function setUp(): void
{
parent::setUp();
$this->service = new AutomatedReportsCallbackService();
}
public function tearDown(): void
{
Mockery::close();
parent::tearDown();
}
public function testGetResultUuid(): void
{
$this->assertEquals('test-uuid', $this->service->getResultUuid(['request_id' => 'test-uuid']));
$this->assertNull($this->service->getResultUuid([]));
}
public function testGetStatus(): void
{
$this->assertEquals('completed', $this->service->getStatus(['status' => 'completed']));
$this->assertNull($this->service->getStatus([]));
}
public function testGetPodcastAudioUrl(): void
{
$this->assertEquals('http://example.com/audio.mp3', $this->service->getPodcastAudioUrl(['podcast_audio_url' => 'http://example.com/audio.mp3']));
$this->assertNull($this->service->getPodcastAudioUrl([]));
}
public function testIsSuccess(): void
{
$this->assertTrue($this->service->isSuccess(['status' => 'completed']));
$this->assertFalse($this->service->isSuccess(['status' => 'failed']));
$this->assertFalse($this->service->isSuccess([]));
}
public function testGetResultStatus(): void
{
$this->assertEquals(AutomatedReportResult::STATUS_GENERATED, $this->service->getResultStatus(true));
$this->assertEquals(AutomatedReportResult::STATUS_FAILED, $this->service->getResultStatus(false));
}
public function testGetPrimaryStatus(): void
{
$pdfResult = Mockery::mock(AutomatedReportResult::class);
$pdfResult->shouldReceive('getMediaType')->andReturn(AutomatedReportsService::MEDIA_TYPE_PDF);
$podcastResult = Mockery::mock(AutomatedReportResult::class);
$podcastResult->shouldReceive('getMediaType')->andReturn(AutomatedReportsService::MEDIA_TYPE_PODCAST);
$otherResult = Mockery::mock(AutomatedReportResult::class);
$otherResult->shouldReceive('getMediaType')->andReturn('other');
$successPayload = ['status' => 'completed', 'podcast_audio_url' => 'http://example.com/audio.mp3'];
$failPayload = ['status' => 'failed'];
$this->assertEquals(AutomatedReportResult::STATUS_GENERATED, $this->service->getPrimaryStatus($pdfResult, $successPayload));
$this->assertEquals(AutomatedReportResult::STATUS_FAILED, $this->service->getPrimaryStatus($pdfResult, $failPayload));
$this->assertEquals(AutomatedReportResult::STATUS_GENERATED, $this->service->getPrimaryStatus($podcastResult, $successPayload));
$this->assertEquals(AutomatedReportResult::STATUS_FAILED, $this->service->getPrimaryStatus($podcastResult, $failPayload));
$this->assertEquals(AutomatedReportResult::STATUS_FAILED, $this->service->getPrimaryStatus($otherResult, $successPayload));
}
public function testGetPodcastStatus(): void
{
$successPayload = ['status' => 'completed', 'podcast_audio_url' => 'http://example.com/audio.mp3'];
$successPayloadNoUrl = ['status' => 'completed'];
$failPayload = ['status' => 'failed'];
$this->assertEquals(AutomatedReportResult::STATUS_GENERATED, $this->service->getPodcastStatus($successPayload));
$this->assertEquals(AutomatedReportResult::STATUS_FAILED, $this->service->getPodcastStatus($successPayloadNoUrl));
$this->assertEquals(AutomatedReportResult::STATUS_FAILED, $this->service->getPodcastStatus($failPayload));
}
public function testIsProcessed(): void
{
$generatedResult = Mockery::mock(AutomatedReportResult::class);
$generatedResult->shouldReceive('getStatus')->andReturn(AutomatedReportResult::STATUS_GENERATED);
$sentResult = Mockery::mock(AutomatedReportResult::class);
$sentResult->shouldReceive('getStatus')->andReturn(AutomatedReportResult::STATUS_SENT);
$requestedResult = Mockery::mock(AutomatedReportResult::class);
$requestedResult->shouldReceive('getStatus')->andReturn(AutomatedReportResult::STATUS_REQUESTED);
$this->assertTrue($this->service->isProcessed($generatedResult));
$this->assertTrue($this->service->isProcessed($sentResult));
$this->assertFalse($this->service->isProcessed($requestedResult));
}
public function testPushToDatadog(): void
{
$automatedReport = Mockery::mock(AutomatedReport::class);
$result = Mockery::mock(AutomatedReportResult::class);
$team = Mockery::mock(Team::class);
$automatedReport->shouldReceive('isAskJiminnyReport')->andReturn(false);
$automatedReport->shouldReceive('getType')->once()->andReturn('exec_summary');
$automatedReport->shouldReceive('getTeam')->once()->andReturn($team);
$team->shouldReceive('getSlug')->once()->andReturn('test-team');
$automatedReport->shouldReceive('getFrequency')->once()->andReturn('weekly');
$result->shouldReceive('getMediaType')->once()->andReturn('pdf');
Datadog::shouldReceive('increment')
->once()
->with(
DatadogConstants::AUTOMATED_REPORTS,
DatadogConstants::FULL_SAMPLE_RATE,
[
'report_type' => 'exec_summary',
'organization' => 'test-team',
'frequency' => 'weekly',
'media_type' => 'pdf',
]
);
$this->service->pushToDatadog($automatedReport, $result);
$this->addToAssertionCount(1);
}
public function testPushToDatadogWithAskJiminnyReport(): void
{
$automatedReport = Mockery::mock(AutomatedReport::class);
$result = Mockery::mock(AutomatedReportResult::class);
$team = Mockery::mock(Team::class);
$automatedReport->shouldReceive('isAskJiminnyReport')->andReturn(true);
$automatedReport->shouldReceive('getTeam')->once()->andReturn($team);
$team->shouldReceive('getSlug')->once()->andReturn('test-team');
$automatedReport->shouldReceive('getFrequency')->once()->andReturn('daily');
Datadog::shouldReceive('increment')
->once()
->with(
DatadogConstants::ASK_JIMINNY_REPORTS,
DatadogConstants::FULL_SAMPLE_RATE,
[
'organization' => 'test-team',
'frequency' => 'daily',
]
);
$this->service->pushToDatadog($automatedReport, $result);
$this->addToAssertionCount(1);
}
}
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40hel"Preparation tor kell... In 40 m100% L2• 40hel"Preparation tor kell... In 40 m100% L2• Mon 11 May 14:14:12PostmanVIewWindowmelp°9 JY-20725-handle-HS-search-rate-limProiect v(C) TranscodeParameterRescl(C) CachedCrmServiceDecor:© UserService.php© Uuid.php> D TraitsD UseCases> D User> D Utils› D Validation> OvOphp nelpers.ong© InitialFrontendState.php© Jiminny.phpc) Plan.oho© Serializer.phpC) TeamScimDetails.ohpbootstrap>C build> contia>D contrib→ database>M docsM front-end>D lang> node_modules library rootM ohostan> M nublic> D resourcesv Mroutesphp api.phpphp api_v2.phppnp console.onopnp customer_api.onppnp embedded.ongphp nealtn.onppnp scim.onophp uprotectedweb.phpphp web.phpphp webhook.php>O scriptsv O storage>M debugbar… M frameworkv loasaitianoreê audio. wav= custom.loalT SyncCrmEntitiesTrait.php© RateLimitException.php© PaginationConfia.phdclass Cllent extends Baseclient 1mpLen121122123124125127130151153|155= hubspot-journal-poll.log= laravel log< nhnunit ymus tht is= oauth-nrivate kevnubu1etunction 1shubspotratelim1t11 $e instanceof \GuzzleHtreturn (int) $e->getCodeOrecurn talsepubunc function parseRetrvaftercThSheadens = se->detResponsesvalue = Sheadens|Retry-if (is arnav(Svalue)) {Svalue = Svalueiol 2:if Gs numeric(Svalue)) <return Gint) Svalue:Smessage = strtolower(Se->getMif (str_contains(Smessage, 'daif (str_ contains(Smessage.if (str_ contains(Smessage, 'sereturn 1Sthis->lo0->warningl' Hubsootnublic function nanceMeccade Throu• SearchYour team is now on the Free olan with 1 admin. You retain editina access and other members are read-onlv. View team nermissions to see who can edit or unarade to restore collaborationRun orderRun SequenceGET Read CopyGET https:/lapi.hubapi.comSelect All ResetD RunnerNo environmentV COLLECTIONSs9: An error occurrea› CRM Owners> CRM Pipelines› Dealsengagements>D OLD ENGAGEMENTSGet list meetingsrosl search tasksGET read callGeT list callsrost meeuings scheculedGET det meetinorost det link to task>POST Create Contact with AssociationHuospotv teration run HSGET Read copyeg. An error occurred.ss. successful operationv teration run Search HSrost search contact oy emall copy> Journal & webhoooks v4› OAuth› Properties• DECCADOLSEARCHpost coarch cantant hu nhanoPOST search contact by emailPOST search meetingsPOST search notesPost Search callc vaPOST Search related meetinas v3POST search deals› © Critical System Resource Limittest has been stopped to prevent systemSustem Resource WarningSustem resources are constrained. Thesystem may not be able to generate the loadeded for this test and the cest is likely toe Connect Git = Concole 5.l TerminaDeselect AllPosT search contact by email Copy0 Iteration run Search HSPOSt search contact by emaiFunctional PerformanceChoose how to run vour pertormance test• In the appVia the elSet up vour performance testLoad profile GVirtual users ©FixedTest duration20 virtual users run for 1 minute, each executing all requests sequentiallvData file GSelect file>Pass test if... ©Globals Vault Tools?000...
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Notion Calendar
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40hel#Preparation for Refi... in 44 m100% L2• Mon 40hel#Preparation for Refi... in 44 m100% L2• Mon 11 May 14:16:03PostmanVIewWindowmelprTavsco.s°9 JY-20725-handle-HS-search-rate-linProiect v•.gitignoreT SyncCrmEntitiesTrait.php(C) CachedCrmServiceDecor:e audio.wavch HandleHnb= nuospot-lournal-poll.log© RateLimitException.php© PaginationConfia.phd< phpunit.xmlis ttt.isclass Cllent extends Baseclient 1mpLenE oauth-private.keyE oauth-public.kev= storageE supervisord.pidtext-relav.ison/ tests125Feature127M Intearation• m Servicesv 7UnitActionsm ComnonentM ConficurationConsoleM ContractsD DomainMnto135D EnumsD Events137D Exceptions© EmailActivityImportExcC HandlerT est.php© RateLimitExceptionTesCo fixturesa GuardsC HelpersDhttoIntearationsa Interactionsallobs148149150> ActivitvM AiAutomation>M Audiol• M AutomatedRenortsC) CreateRecultsTest.il( RequestGenerate A.155C) RequestGenerateR,@ SendReportExpiring© SendReportJobTes(₴ SendReportMailJobe CondDonartNatGonMelondarMcrmlnubu1etunction 1shubspotratelim1t11 $e instanceof \GuzzleHtreturn (int) $e->getCode(recurn talsepubunc function parseRetrvaftercThSheadens = se->detResponsesvalue = Sheadens|Retry-if (is arnav(Svalue)) {= Svalueliol ?if Gs numeric(Svalue)) <return Gint) Svalue:Smessage = strtolower(Se->getMif (str_contains(Smessage, 'daif (str_ contains(Smessage.if (str_ contains(Smessage, 'sereturn 1Sthis->lo0->warningl' Hubsoot• SearchYour team is now on the Free olan with 1 admin. You retain editina access and other members are read-onlv. View team nermissions to see who can edit or unarade to restore collaborationRun orderRun SequenceGET Read CopyGET https:/lapi.hubapi.comSelect All ResetD RunnerNo environmentpublic function parseMessage(ThrovV COLLECTIONSs9: An error occurrea> CRM Owners> CRM Pipelines› Dealsengagements>D OLD ENGAGEMENTSGet list meetingsrosl search tasksGET read callGeT list callsrost meeuings scheculedGET det meetinorost det link to task› POST Create Contact with AssociationHuospotv teration run HSbel kead copyeg. An error occurred.ss. successful operationv teration run Search HSrost search contact oy emall copy> Journal & webhoooks v4› OAuth› Properties• DECCADOLSEARCHpost coarch cantant hu nhanoPOST search contact by emailPOST search meetingsPOST search notesPost Search callc vaPOST Search related meetinas v3POST search deals› © Critical System Resource Limittest has been stopped to prevent systemSustem Resource WarningSustem resources are constrained. Thesystem mav not be able to generate the loadeded for this test and the cest is likely toe Connect Git = Concole 5.l TerminaDeselect AllPosT search contact by email Copy0 Iteration run Search HSPOSt search contact by emaiFunctional PerformanceChoose how to run vour pertormance test• In the appVia the elSet up vour performance testLoad profile GVirtual users ©FixedTest duration20 virtual users run for 1 minute, each executing all requests sequentiallvData file GSelect file>Pass test if... ©Globals Vault Tools?000...
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40hel#Preparation for Refi... in 44 m100% L2• Mon 40hel#Preparation for Refi... in 44 m100% L2• Mon 11 May 14:16:23PostmanVIewWindowmelprTavsco.s°9 JY-20725-handle-HS-search-rate-linProiect v•.gitignoreT SyncCrmEntitiesTrait.php(C) CachedCrmServiceDecor:e audio.wavCh HandleHnb= nuospot-lournal-poll.log© RateLimitException.php© PaginationConfia.phd< phpunit.xmlis ttt.isclass Cllent extends Baseclient 1mpLenE oauth-private.keyE oauth-public.kev= storageE supervisord.pidtext-relav..sontests125FeatureIntearation127• m Servicesv 7UnitActionsm Comnonent130M ConficurationD ConsoleM ContractsD DomainMntoD Enums137D EventsD Exceptions© EmailActivityImportExcC HandlerT est.php© RateLimitExceptionTes0 fixturesa GuardsC HelpersahiteIntearations148a Interactionsallobs> ActivitvM AiAutomation>M Audiol• M AutomatedRenorts153C) CreateRecultsTest.ilC) RequestGenerateA.155C) RequestGenerateR,@ SendReportExpiring© SendReportJobTes(₴ SendReportMailJobe CondDonartNatGonMelondarMcrmlnubu1etunction 1shubspotratelim1t11 $e instanceof \GuzzleHtreturn (int) $e->getCode(recurn talsepubunc function parseRetrvAftercThSheadens = se->detResponsesvalue = Sheadens|Retry-if (is arnav(Svalue)) {= Svaluellol 2:if Gs numeric(Svalue)) <return Gint) Svalue:Smessage = strtolower(Se->getMif (str_contains(Smessage, 'daif (str_ contains(Smessage.if (str_ contains(Smessage.return 1Sthis->lo0->warningl' Hubsoot• Searchnublic function nanceMeccade ThrouYour team is now on the Free olan with 1 admin. You retain editina access and other members are read-onlv. View team nermissions to see who can edit or unarade to restore collaborationV COLLECTIONSs9: An error occurrea> CRM Owners> CRM Pipelines› Dealsengagements>D OLD ENGAGEMENTSGet list meetingsrosl search tasksGET read callGeT list callsrost meeuings scheculedGET det meetinorost det link to task› POST Create Contact with AssociationHuospotv teration run HSbel kead copyeg. An error occurred.ss. successful operationv teration run Search HSrost search contact oy emall copy> Journal & webhoooks v4› OAuth› Properties• DECCADOLSEARCHpost coarch cantant hu nhanoPOST search contact by emailPOST search meetingsPOST search notes> post Search calle v2POST Search related meetinas v3PoSt coarch deals> Ticketsv Ulcofull• POST Read a batch of obiec •Run orderRun SequenceposT search contact by email copy> POST filter per comoanv / onlv oven deal stagesGET engagements old associated by dealSustem Resource WarningSustem resources are constrained. Thesustem may not be able to generate the loadeded for this test and the cest is likely toe Connect Git = Concole 5.l TerminaGET Read CopyGET https:/lapi.hubapi.com0 Iteration run Search HSPOSt search contact by emaiFunctional PerformanceDeselect AllSelect All ResetChoose how to run vour pertormance test• In the appVia the elSet up vour performance testLoad profile ©Virtual users ©FixedD RunnerNo environmentTest duration20 virtual users run for 1 minute, each executing all requests sequentiallvData file GSelect file>Pass test if... ©Globals Vault Tools?000...
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40hel#Preparation for Refi... in 44 m100% L2• Mon 40hel#Preparation for Refi... in 44 m100% L2• Mon 11 May 14:16:56PostmanVIewWindowmelprTavsco.s°9 JY-20725-handle-HS-search-rate-linProiect v•.gitignoreT SyncCrmEntitiesTrait.php(C) CachedCrmServiceDecor:e audio.wavch HandleHnb= nuospot-lournal-poll.log© RateLimitException.php© PaginationConfia.phd< phpunit.xmlis ttt.isclass Cllent extends Baseclient 1mpLenE oauth-private.keyE oauth-public.kev= storageE supervisord.pidtext-relav..sontests125FeatureIntearation127Servicesv 7UnitActionsm ComnonentM ConficurationD ConsoleM ContractsD DomainMntoD Enums137D EventsD Exceptions© EmailActivityImportExcC HandlerT est.php© RateLimitExceptionTes0 fixturesa GuardsC HelpersahiteIntearations148a Interactionsallobs> ActivitvM AiAutomation>M Audiol• M AutomatedRenorts153C) CreateRecultsTest.ilC) RequestGenerateA.155C) RequestGenerateR,@ SendReportExpiring© SendReportJobTes(₴ SendReportMailJobe CondDonartNatGonMelondarMcrmlnubu1etunction 1shubspotratelim1t11 $e instanceof \GuzzleHtreturn (int) $e->getCodeOrecurn talsepubunc function parseRetrvaftercThsvalue = Sheadens|Retry-if (is arnav(Svalue)) {= Svaluellol 2:if Gs numeric(Svalue)) <return Gint) Svalue:Smessage = strtolower(Se->getMif (str_contains(Smessage, 'daif (str_ contains(Smessage.if (str_ contains(Smessage.return 1Sthis->lo0->warningl' Hubsootpublic function parseMessage(Throw• SearchYour team is now on the Free olan with 1 admin. You retain editina access and other members are read-onlv. View team nermissions to see who can edit or unarade to restore collaborationV COLLECTIONSs9: An error occurrea> CRM Owners> CRM Pipelines› Dealsengagements>D OLD ENGAGEMENTSGET list meetingsrosl search tasksGET read callGeT list callsrost meeuings scheculedGET det meetinorost det link to task› POST Create Contact with AssociationHuospotv teration run HSbel kead copyeg. An error occurred.ss. successful operationv teration run Search HSrost search contact oy emall copy> Journal & webhoooks v4› OAuth› Properties• DECCADOLSEARCHpost coarch cantant hu nhanoPOST search contact by emailPOST search meetingsPOST search notes> post Search calle v2POST Search related meetinas v3PoSt coarch deals> Tickets• POST Read a batch of obiec •Run orderRun SequencePosT search contact by email copyGET engagements old associated by dealGET engagements old associated by comoanvCaMiDANMeNreSPECS>FLOWS§ Connect GitConcole 5.l TerminGET Read CopyGET https:/lapi.hubapi.com0 Iteration run Search HSPOSt search contact by emaiFunctional PerformanceDeselect AllSelect All ResetChoose how to run vour pertormance test• In the appVia the elSet up vour performance testLoad profile GVirtual users ©FixedD RunnerNo environmentTest duration20 virtual users run for 1 minute, each executing all requests sequentiallvData file GSelect file>Pass test if... ©Globals Vault Tools?000...
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SlackFileEditViewGoHistoryWindowHelpDEV (d)•*зD 5*
SlackFileEditViewGoHistoryWindowHelpDEV (d)•*зDOCKERO ₴1DEV (docker)882APP (-zsh)masterJY-20818-move-AJ-reports-to-separated-datadog-metricJY-20773-fix-automated-reports-user-pilot-trackingJY-20157-AJ-report-not-send-notificationJY-20508-notify-before-AJ-report-expiratiorJY-20372-ai-reports-promotion-pagesJY-20352-sync-opportunities-without-a-localJY-20738-debug-AJ-tracking-UPJY-18909-automated-reports-ask-jiminny/Applications/Alfred 5.appJY-20692-fix-integration-app-[API_KEY] enter a valid expressionJY-20698-fix-SF-activity-types-on-new-playtJY-20543-AJ-report-trackingJY-20384-handle-auto-sync-with-no-access-tcJY-20458-ask-jiminny-user-definitionsJY-19666-fix-import-contacts-account-associJY-19666-HS-import-contacts-and-accounts-bcJY-20458-Ask-Jiminny-ReportsJY-20200-batch-update-CRM-objects-SalesforcJY-19666-HS-webhooks-add-contact-and- comparJY-20348-trigger-setup-DI-layout-on-team-crJY-20326-refactor-info-message-in-commandJY-20317-fix-auto-log-delay-issue-on-all-chJY-20312-remove-on-update-change-last-synceJY-20306-SF-skip-auto-sync-for-task-based-rJY-20192-remove-deleted-team-from-saved-secJY-20197-import-opportunity-batch-jobJY-20293-enable-status-field-for-pipedrive-JY-20191-remove-commands-interactive-promptJY-20118-change-default-sync-strategyJY-20183-add-cache-on-auto-log-delayJY-20197-add-import-opportunity-batch-job20118-hs-opportunity-make-webhook-strategy-defaultJY-20118-make-default-hs-opportunity-sync-strategy-webhook-basedJY-20196-handle-opportunity-without-noteJY-20118-improve-opportunity-importJY-20189-handle-activity-search-on-deleted-groupsCleanShot 2026-05-09 at [EMAIL]~/Desktop/CleanShot 2026-05-09 at [EMAIL] 2026-05-08 at [EMAIL]~/Desktop/CleanShot 2026-05-08 at [EMAIL] 2026-04-28 at [EMAIL]~/Desktop/CleanShot 2026-04-28 at [EMAIL] 2026-05-09 at [EMAIL]~/Desktop/CleanShot 2026-05-09 at [EMAIL] 2026-05-08 at [EMAIL]~/Desktop/CleanShot 2026-05-08 at [EMAIL] 2026-05-08 at [EMAIL]~/Desktop/CleanShot 2026-05-08 at [EMAIL] 2026-04-28 at [EMAIL]~/Desktop/CleanShot 2026-04-28 at [EMAIL]-20145-filter-out-converted-leads-when-matchingJY-20150-skip-push-summary-on-summary-ready-1f-autologJY-20132-fix-note-encodingJY-19792-clean-logslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/Jiminny/app (JY-20725-handle-HS-search-rate-lirroot@docker_lamp_1:/home/jiminny#(aolSupport Daily • in 3 h 25 m100% <78• Mon 11 May 11:35:43ED→Describe what you are looking forJiminny ...ChsmechuusNAnAнA)# releases8 226 0• Messages+282883₴84*5₴6$7888®. Aneliya Angelova& James Graham. Lukas Kovalik y... O::: Apps2C FilesBookmarksclaude-great-arToday~Show more(jiminny/app Added by GitHubCircleCl APP 10:35 AMDeployment Successful!Project: appWhen:05/11/202607:35:21lag:View JobNewToastJira CloudGoogle Cale...CircleCl APP11:00 AMNew commits deployed to Prophet Prod-US:e568c4f]https://github.com/jiminny/prophet/commit/e568c4f3b57c9392883f81974b6db3dd09a23a1le) - [JY-20832](https://jiminny.atlassian.net/browse/JY-20832): Remove usage of grok 4.0 and 4.1 models#506) (steliyan-g)New commits deployed to Prophet Prod-EU:[e568c4f](https://github.com/jiminny/prophet/commit/e568c4f3b57c9392883f81974b6db3dd09a23ale)- [JY-20832](https://jiminny.atlassian.net/browse/JY-20832): Remove usage of grok 4.0 and 4.1 models(#506) (steliyan-g)Message #releases+Aa..•...
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SlackFileEditViewGoHistoryWindowHelpDOCKER 5*60*60
SlackFileEditViewGoHistoryWindowHelpDOCKERO ₴1DEV (docker)882DEV (dAPP (-zsh)• xзmasterJY-20818-move-AJ-reports-to-separated-datadog-metricJY-20773-fix-automated-reports-user-pilot-trackingJY-20157-AJ-report-not-send-notificationJY-20508-notify-before-AJ-report-expiratiorJY-20372-ai-reports-promotion-pagesJY-20352-sync-opportunities-without-a-local5*60*|JY-20738-debug-AJ-tracking-UPJY-18909-automated-reports-ask-jiminnyPlease enter a valid expressionJY-20692-fix-integration-app-[API_KEY] laysJY-20698-fix-SF-activity-types-on-new-playtJY-20543-AJ-report-tracking5760JY-20384-handle-auto-sync-with-no-access-tcJY-20458-ask-jiminny-user-definitionsJY-19666-fix-import-contacts-account-associ5601.pngJY-19666-HS-import-contacts-and-accounts-bcJY-20458-Ask-Jiminny-ReportsJY-20200-batch-update-CRM-objects-SalesforceJY-19666-HS-webhooks-add-contact-and-companyJY-20348-trigger-setup-DI-layout-on-team-creationJY-20326-refactor-info-message-in-commandJY-20317-fix-auto-log-delay-issue-on-all-channels-disabledJY-20312-remove-on-update-change-last-synced-at-crm-configurationsJY-20306-SF-skip-auto-sync-for-task-based-playbookJY-20192-remove-deleted-team-from-saved-search-filtersJY-20197-import-opportunity-batch-jobJY-20293-enable-status-field-for-pipedrive-dealsJY-20191-remove-commands-interactive-promptsJY-20118-change-default-sync-strategyJY-20183-add-cache-on-auto-log-delayJY-20197-add-import-opportunity-batch-job20118-hs-opportunity-make-webhook-strategy-defaultJY-20118-make-default-hs-opportunity-sync-strategy-webhook-basedJY-20196-handle-opportunity-without-noteJY-20118-improve-opportunity-importJY-20189-handle-activity-search-on-deleted-groupsIssue5/60Test.php-/jiminny/app/vendor/phpunit/phpunit/tests/end-to-end/regression/5760/Issue5760Test.php-/jiminny/app/vendor/phpunit/phpunit/tests/end-to-end/regression/5760-/jiminny/app/storage/app/14330456-5382-47fe-87a8-88e670a9cc3e/avatars/5601.pngLater..•More• Direct messages*• Stefka Stoyanova€. Vasil VasilevNikolay IvanovGalya DimitrovaAneliya Angelova, .... Stoyan Tanev. VesP. Aneliya Angelova& James GrahamLukas Kovalik y...:: AppsToastJY-20145-filter-out-converted-leads-when-matchingJY-20150-skip-push-summary-on-summary-ready-if-autologJY-20132-fix-note-encodingJY-19792-clean-logslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-Lirroot@docker_lamp_1:/home/jiminny# ]Jira CloudGoogle Cale...(aol§ Support Daily • in 3 h 25 m100% <78• Mon 11 May 11:35:46ED→Describe what you are looking forJiminny ...CnsmechuusNAnAнA)# releases8 226 0• Messages+282883₴842C FilesBookmarksclaude-great-arToday~Show more(jiminny/app Added by GitHubCircleCl APP 10:35 AMDeployment Successful!Project: appWhen:05/11/202607:35:21lag:View JobNewCircleCl APP11:00 AMNew commits deployed to Prophet Prod-US:(e568c4f](https://github.com/jiminny/prophet/commit/e568c4f3b57c9392883f81974b6db3dd09a23a1e) - [JY-20832](https://jiminny.atlassian.net/browse/JY-20832): Remove usage of grok 4.0 and 4.1 models(#506) (steliyan-g)New commits deployed to Prophet Prod-EU:[e568c4f](https://github.com/jiminny/prophet/commit/e568c4f3b57c9392883f81974b6db3dd09a23ale)- [JY-20832](https://jiminny.atlassian.net/browse/JY-20832): Remove usage of grok 4.0 and 4.1 models(#506) (steliyan-g)Message #releases+Aa..•...
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SlackFileEditViewGoHistoryWindowHelpDOC 5*60*60*24
SlackFileEditViewGoHistoryWindowHelpDOCKERO ₴1DEV (docker)882APP (-zsh)DEV (d• хзmasterJY-20818-move-AJ-reports-to-separated-datadog-metricJY-20773-fix-automated-reports-user-pilot-trackingJY-20157-AJ-report-not-send-notificationJY-20508-notify-before-AJ-report-expiratiorJY-20372-ai-reports-promotion-pagesJY-20352-sync-opportunities-without-a-localJY-20738-debug-AJ-tracking-UP5*60*60*24|432 000JY-18909-automated-reports-ask-jiminnyAction this item to copy this number to the clipboardJY-20692-fix-integration-app-[API_KEY] laysJY-20698-fix-SF-activity-types-on-new-playbookJY-20543-AJ-report-trackingJY-20384-handle-auto-sync-with-no-access-to-event-typeJY-20458-ask-jiminny-user-definitionsJY-19666-fix-import-contacts-account-associationJY-19666-HS-import-contacts-and-accounts-batch-jobJY-20458-Ask-Jiminny-ReportsJY-20200-batch-update-CRM-objects-SalesforceJY-19666-HS-webhooks-add-contact-and-companyJY-20348-trigger-setup-DI-layout-on-team-creationJY-20326-refactor-info-message-in-commandJY-20317-fix-auto-log-delay-issue-on-all-channels-disabledJY-20312-remove-on-update-change-last-synced-at-crm-configurationsJY-20306-SF-skip-auto-sync-for-task-based-playbookJY-20192-remove-deleted-team-from-saved-search-filtersJY-20197-import-opportunity-batch-jobJY-20293-enable-status-field-for-pipedrive-dealsJY-20191-remove-commands-interactive-promptsJY-20118-change-default-sync-strategyJY-20183-add-cache-on-auto-log-delayJY-20197-add-import-opportunity-batch-job20118-hs-opportunity-make-webhook-strategy-defaultJY-20118-make-default-hs-opportunity-sync-strategy-webhook-basedJY-20196-handle-opportunity-without-noteJY-20118-improve-opportunity-importJY-20189-handle-activity-search-on-deleted-groupsJY-20145-filter-out-converted-leads-when-matchingJY-20150-skip-push-summary-on-summary-ready-1f-autologJY-20132-fix-note-encodingJY-19792-clean-logslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-Lirroot@docker_lamp_1:/home/jiminny# ]•ActivityFilesLater..•Morelihl§ Support Daily • in 3 h 25m100% C8• Mon 11 May 11:35:49ED→Describe what you are looking forJiminny ...CHSIICCTISNAnAнA)# releases8 226 0• Messages+#releases# sofia-office# support# thank-yous# the_people_of_jimi...• Direct messages••• Stefka Stoyanova€. Vasil VasilevNikolay Ivanov®. Galya DimitrovaAneliya Angelova, .... Stoyan Tanev@. Ves®. Aneliya Angelova& James GrahamLukas Kovalik y...::: Apps2C FilesBookmarksclaude-great-arToday~Show more(jiminny/app Added by GitHubCircleCl APP 10:35 AMDeployment Successful!Project: appWhen:05/11/202607:35:21Tag:View JobNewToastJira CloudGoogle Cale...CircleCl APP11:00 AMNew commits deployed to Prophet Prod-US:[e568c4f](https://github.com/jiminny/prophet/commit/e568c4f3b57c9392883f81974b6db3dd09a23a1e) - [JY-20832](https://jiminny.atlassian.net/browse/JY-20832): Remove usage of grok 4.0 and 4.1 models(#506) (steliyan-g)New commits deployed to Prophet Prod-EU:[e568c4f](https://github.com/jiminny/prophet/commit/e568c4f3b57c9392883f81974b6db3dd09a23ale)- [JY-20832](https://jiminny.atlassian.net/browse/JY-20832): Remove usage of grok 4.0 and 4.1 models(#506) (steliyan-g)Message #releases(1+Aa..•...
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50 ll"Preoaraton tor kerl... now100% Lz8• Mon 50 ll"Preoaraton tor kerl... now100% Lz8• Mon 11 May 15:09:37*EXPLORERV APPvcrm› Deletev HubspotTraitswFetchmergedObiectsPageJob.php#HubspotAppUninstallJob.phpwImportaccountBatch.php#8 ImportBatchJobTrait.phpwmoortcontact8atch.onv# ImportOpportunityBatch.php# ProcessHubsootWebhookEventsTrait.# ProcessinternalWebhookEventsJob.p…## ProcessMergedObjectJob.phpR ProcessWebhookEventsJob.php#UindateDealWehhookSubccrintion.lo> SalesforceR AutologDelayedToCrm.phpCheckAndRetryRemoteMatch.phpCreateFollowupActivity.phpCreateNotes.phpMatchActivitiesToNewOpportunity.phpR MatchActivityCrmData.php* [EMAIL] SaveActivity.phpR SaveTranscription.phpR# SetupLayout.php* SyncActivity.phpR# SyncFieldMetadata.php* SyncHubspotObjects.phpwsuncLeads.on#[EMAIL]#[EMAIL]# SyncOpportunity.php#SvncProfileMetadata.oho#SvncteamFields.Job.ohvI SvncTeamMetadata.ohn#4 UpdateOpportunitySpecifications.php|« UndateStaae.nhnDealPicks> Mailbox> MeetingBotV Middleware* HandleHubspotRateLimit.php# RateLimited.php> OUTLINETIMELING18UAUNN43PA JY-20725-handle-HS-search-rate-limit*+ Go@6A90г#MatchActivitvCrmData.oho MXR RateLimitException.php M Xapp > Jobs › Crm > « MatchActivityCrmData.php > 9 MatchActivityCrmData# Client.pho 9,M# HubspotPaqinationService.oho Mminatel Contracts) Queue ShouldBeUnique:rializesModels;Jiminny component queuexconstantsJaminny excepcions lenva uldArgumentexcepeton,Jiminny Exceptions RateL1m1texcept1on;Jiminny Jobs Middleware HandleHubspotRateLimit:use Jiminnv Models\ Crml Confiauration:use liminnvlRenocitoriec/ActivitvRenositorv:class MatchActivityCrmData extends Job implements ShouldQueue, ShouldBeUniqueuse Interactsw1thQueue:public int $maxExceptions = 3;nrivate const int RETRY WINDOW MINUTES = 120:orivate int sactivitvidprivate ?Configuration SfromConfiguration;orivate bool SremoteSearch:pub uic tunction middlewared: arravpublzc Tunction retryuntzll): (Datelameinterfacereturn nowo-saddMinutes(self::RETRY WINDOW MINUTES)public function• 2 C23 Review rate limit handli..Keview fate lmit nanaling for nuospouo..</> MatchActivityCrmData.ph…Idon uunderstandlt. Isntthat too much olla window to wait. Lets ust seelit on the scenario. 100 000 matchActvityermData obs tired lautne same time making 100 000 search requests. What willnappenrandwhen2. Throws RateLimitException(remaining) - no HubSpot call made3. Middleware releases with delay = remaining4. Worker is free in ~50msAt 50ms per job cycle, 10 workers process ~2,000 jobs in 10 seconds. All 2,000 are re-released with delays clustered around when the cache expires (t=10). The remaining 98,000 jobs are still untouched inthe queue.Progress so far: 0 jobs completed.t=10 to t=20 - Second wave, same problemCache expires at t=10. The 2,010 released jobs (first 10 + 2,000 cache-bounced) become available. Workers grab 10 of them simultaneously. Cache miss again — all 10 hit HubSpot at the same instant.Another 429. Cache resets to expiresAt=20, TTL=30 .The cycle repeats. Workers rapidly burn through the released jobs (all hitting the new cache), then the pattern resets at t=20.The MathHubSpot's 5 RPS means ~50 requests per 10-second window. But 10 workers tire simultaneously at the start of each window, so in practice vou aet• Best case: 5 succeed before the 429, 5 get recycled → 5 completions per 10-second cycle• Realistic: thundering nerd means the first burst is orten o successes, 10 429S - ~0→o completions per cycleCalll it 3 comoletions cvcle on averade.Window Jobs comoleted Joos remainina Tlime elaosedi30 min~540-99,46030 min120 min ~2.1605.5 hours ~10,000-97840-90,0002 hoursAfter 120 minutes ( retryUntil() deadline), ~97,840 jobs permanently fail. Laravel marks them as failed, calls failed() , done.So ls 120 Minutes Wrong?It's not wrong — it's just that retryUntil() is the wrong lever for this problem. It's a safety valve ("don't let jobs loop forever"), not a throughput mechanism. No retryUntil() value fixes the root issue,which is.10 workers fire simultaneously at the start of every rate-limit window, burning the entire burst budget in one shot, then setting a cache that blocks everyone for 10 more seconds.The circuit breaker with the fixed TTL (our change) reduces wasted HubSpot calls significantly - but the thundering herd at each cache expiry still kills throughput.The realfix for 1001000liobslis a.queue.throttle-somethinalikellaravells RateEimiiter.ocaRedis-backed.semanhore.that.cans.how.manv.workers.can.callHTbSnot.ner secondlaloballv.not.nerdiob.Tihafta separate, larger change. For the current scope, 120 minutes is a reasonable guard - just be aware it won't save 100k jobs in a true spike.ok burt I don't underctand the delav Alco lets cav that there are 100 reauecte to hubcnot firct aets 120should be set witt ttl form teh first job that hit the limit. if it is constantlyupdated wew ill neverree it. Think again very carefullv about the whole flow., do I need 10 minuteshuftor lunderctand to have coom iittor in the+0" 1 line selectedAsk before edit.g SignInP A...
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53 )Returning to home screen+FirefoxFileEdit ViewC 53 )Returning to home screen+FirefoxFileEdit ViewCHistoryBookmarksProfiles Tools WindowHelp=@ meet.google.com/mie-gawc-dsi?authuser=[EMAIL]< →0 lhl • | Daily - Platform • 3 m left100% C47 8• Mon 11 May 10:02:32You left the meetingRejoinReturn to home screenHow was the audio and video?PS-31Finder(*))13m 54sNTiG491,3 MBFeedback...
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83FV faVsco.jsWlolleney(C) CrmAc|т SvncCrmFieldsTl 83FV faVsco.jsWlolleney(C) CrmAc|т SvncCrmFieldsTlT SyncCrmMetadaT SystemStateTra(c) DataClient.one© ResponseException.phg© DecorateActivity.phBadkequest.ongy Locdlsearch.ong© LocalSearchInterfacC RemoteSearch.phpC) service.pnpy _ ListenersC) ConvertLeadActivilc) Purgelookupcache0h MetadataD Miarauioni07 Pipedrive• → OpportunitvSvncStC) ApiFields.oho© Client.php© FieldDefinitions.php 11/C) PioedriveAoiClient.t() PioedriveAoiExceotlC) Service.oholC) TokenStorade.ohoN Salestforcel• M Sieldel• M OnnortunitvMatche• D OpportunitySyncSt• M ProsnectSearchStr(c) Client.php© DecorateActivity.phu DeleteoblectsIraid© FieldDefinitions.phg)Pavloacbullder.ongC) Profile.phpC) @uervBuilder.php© QuervHandler.phdC) @uervlterator.php© QuervResults.phpC) Service.ohr139M TraitsBaseService.ohd(C) Activity.class CrmActivityServiceprivate function updateParticipantsCrmData(Team SteamlActivity SactivitvCollection $participants,?ServiceInterface $crmService = null.): array {$matchedRecords = []:$matchedDomainRecords = []scnis->vaLluaceurmuontzouracion saccivlcysth1s->decorator->setlontiquration(sactiv1ty->qeturmosth1s->decorator->seturmservice scrmservice)toreach (Sparticipants as Sparticipant "if (Sthis->shouldSkipParticipant(Sparticipant)) {if (! $this->shouldPerformLookup($participant, $team)) {Sthis->logger->info( CrmActivitvServicel Email domain belonas to the teai= Steam->aetidol= Snarticinant->oetEma1Addresso* Plattorm Sprint 3 Q2 - Plattorm TeSevenShores|Hubspot|ExcepticXService-Desk - Queues - Platform• Jy 20807 check various issues wi• Pull requests • jiminny/apr1 Useroilot 1 Ask liminny Report GeiJY-20773 fix user pilot tracking ofi Problem loadina paqdSearch the CRM - HubSpot docs8 Jimini_ Now TablSrecords = $this->findCrmRecords($participant, $activity):if (! empty($records)) {SmatchedRecords[] = Srecords} else {srecoras = sch1s->t1ndurmboma1nkecorasactivity: Sactivity.ssues APP-1EEDD: 31c8b6c919 hours ago JSONv Stack race DisplayyThere are 2 chained excentions in this event.08SevenShores\Hubspot\Exceptions\BadRequestClient error: 'POST https://api.hubapi.com/crm/v3/objects/contact/search (* resulted in a429 100 Many Kequests response:usatuswerormessaneotave neadied vou seconlyimttienon ve vавtсоте аоnсвииaусіс виоаенCrashed in:/vendor/hubspot/hubspot-php/src/Exceptions/HubspotException.php:24 in SevenShores Hubspot\Exceptions\HubspotException::create/app/Services/Crm/Hubspot/Client.php:94 in Jiminny|Services\Crm\Hubspot\ClientzgetPaginatedDataDraa to record a part of the screen. Press LW to select a window./app/Services/Crm/CrmActivityService.php:227 in Jiminny\Services\Crm\CrmActivityService::findCrmRecords223if (empty(Srecords) && Sparticipant->getName() !== null) ‹227Srecords = Sthis->decorator->matchByName(userto. sacoivity-›getusero->gecto.Obiect Jiminny Models Activity#37482263)Obiect Jiminny Modells Participant(#82989648)/app/Services/Crm/CrmActivityService.php:139 in Jiminny|Services\Crm\CrmActivityService:.updateParticipantsCrmDataJann/Aobs/Crm/MatchActivitvCrmData.nhn:107 inJiminnv|Johs|Crm|MatchActivitvCrmData«Jiminnv|Jobs\Crm\(closure)Jann/ohs/Crm/MatchActivitvCrmData.nhn-87 in Jiminnv|.Johs\Crm\ MatchActivitvCrmData«handleShow 1 more trameIn AppShow 2 more framesIn App• Copy as v00% 5• Ask Seer |&.oOithudEy JiralActivity8 Assigned2 months agcby Lukas Kovalik to themselves.Marked as OngoingFirst Seen|o months agcv People(LK) particioatingSSIKMPIN viewedSimilar ssuesMeraed Issues...
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PhostormVIewINavicareCodeLaravelKeractorTOOISWindowmelpFV faVsco.js%9 JY-20725-handle-HS-search-rate-limit-Proletey© BatchSyncCollectore balchsynckealsse© HubspotPaginationService.phpC) TrackAutomated ReportGeneratedzventonp* SyncCrmEntities Trait.php©CachedCrmServiceDecorator.php* DeleteCrmEntity Trait.phpc clientone© ClosedDealStagesS © RateLimitException.phpC) HandleHubspotRateLimit.pnpDealrielasservice.gc)Decorateacuivilv.or© FieldDefinitions.phpC) FieldT vpeconverteclass Cllent extends Baseclient 1mpLements Hubspotcllentintertacepublic const string BASE_URL ='https:/Lapi.hubapi.com';e Hubspotclientinteric) Hubspot lokenmanC) PavloadBuilder.phppublic const int ASSOCIATIONS_BATCH_SIZE_LIMIT = 1000;C) Remotecrmobiectr© ResponseNormalizec) Service.onr© SyncFieldAction.phC) SvncRelatedActivitZusagesZusagesprivate HubspotPaginationService $paginationService;private HubspotTokenManager $tokenManager;C) WebhookSvncBatclv MintearationAor> O Accessors49 Otpublic tunction constructSoc1aLAccountservice ssoc1alAccountserviceHubspotPaginationService $paginationService,Cancola yLog X• Chanaes 3 files→ E, Side-by-side viewer -Do not ignore© 44d5678c app/Console/Commands/JiminnyDebugCommand.phpHighlight words+XBộ ?= env.local aor.© JiminnyDebugCommand.php app/Console/Commandsphp logging.php configUnversioned Files 9 filesE.env.nikilocal app= .env.other app© CanAccessAiReportsTest.php tests/Unit/Policies© CreateMockAskJiminnyReportResultCommand.php app/Console/Commands/RE favicon.ico publicE ids.txt appTo raw_sqL_query.sql app© SimulateWebhooksCommand.php app/Console/Commands/Crm/HubspotM+ WEBHOOK_FILTERING_IMPLEMENTATION.md appHudspol/serwice.pnp© ProviderkateLimiter.pngA2 A67 23 A v 17431744#17451746E17471748=[CREDIT_CARD]=175%=17551756E1757use Illuminate\Console\Command;* Class Jiminnudebuacommand* anackade aminnu console commandsiclass JiminnyDebugCommand extends Commandprotected Ssignature = 'jiminny:debug';public function handle(): void$this-›line( 'this is a debug tool');exit(1):Iched.IV.20725-haE laravel.logxA SF [jiminny@localhost]w.*A HS_local [jiminny@localhost]•Ừ :A console [PROD]Preparation for Refi... 22m leftL HandleHubspotRateLimitTest vA console (EU]A console [STAGING)100% 18• Mon 11 May 15:38:46[2026-05-11 11:21:45] Local.INFO: [HubSpot Journal Polling] No data[2026-05-11 11:21:45] LocaZ. WARNING: [HubSpot Journal Polling) Maximum empty results reached, stopping ("empty_results":5,"max_empty_results":5} f"correlation. D[2026-05-11 11:21:45] Local.WARNING: [HubSpot Journal Polling] Maximum empty results reached, stopping {"empty_results":5, "max_empty_results":5} {"correlation. w[2026-05-11 11:21:45] Local. INFO: [HubSpot Journal Polling] Service ending {"runtime_seconds":57, "total_cycles":5, "files_downloaded" :0, "empty_files":0, "other_i[2026-05-11 11:21:46] Local. INFO: [HubSpot Journal Polling] Saved offset to database on cleanup {"offset":"019e15a9-9ea0-7da7-87bc-82592e3ccf0d"} {"correlatior[2026-05-11 11:21:46] Local.INFO: [HubSpot Journal Polling] Released polling Lock1"correlation_1d** 95401500-8a4T-4592-a040-elocoad/as0t, Crace_1d": "ecc/ael[2026-05-11 11:21:48] Local.INFO: Jiminny\Console\Commands\Command: :run Memory usage before starting command {"command" : "mailbox: batch:process", "memoryBeforeCt[2026-05-11 11:21:48] Local. INFO: [EmailSchedule] FINISHED batchcessed":0} ("correlation_id":"241421de-745e-44a3-a65f-377[2026-05-11 11:21:48] local.INF0: Jiminny\Console\ Commands\ Command::runMemory usage tor commano ""commano": "marlbox:bacch.process". "memoryoerorecommanoinmb[2026-05-11 11:21:59] Local. INFO: Jiminny|Console\Commands\Command: :run Memory usage before starting command {"command": "crm:sync-hubspot-objects", "memoryBef™]OCI NIE AMINNY CONSOLe COmMands COMmAnO HHNUn Memony Usage or Commano uCOnmanoMeCIMesynC-luospotcobec islr memonyset one vommаnси nи[2026-05-11 11:22:00] Local. INFO: [SyncHubspotObjects] Starting sync {"team":"b2b115eb-93ce-4d1b-929c-173757df8fba", "usage" : 23350336, "real_usage" :62914560, "pttIEHA OC AVARI WCWOWSPOTACCOUNIWOt CONNeCeoonunen Munn hWN A HACHA AA eNTAC COUn NE LA AM NOYA NVOGAL SII EO[2026-05-11 11:22:00] Local. INFO: [CrmOwnerResolver] Integration owner is not connected, attempting team members {"crm_provider": "hubspot", "crm_ownen" : 109 , "t2026-05-11 11:22:001 LocoL TNF0: crmownerResolverNo team members found with active crm connection 1"crm_provider": "hubspot", "team_1d":29s 1"correlation_jd[2026-05-11 11:22:00] Local. INF0: [CrmOwnerResolver]No team member found with active crm connection {"crm_providen":"hubspot", "team_id":29} ("correlation_ich[2026-05-11 11:22:00] Local. INF0: [SyncHubspotObjects] Sync finished {"team": "b2b115eb-93ce-4d1b-929c-173757df8fba", "provider": "hubspot", "status": "disconnecter6 differencescurrent versionnamespace Jiminny\Console\Commands;»use Carbon\Carbon;use carbon CarbonImmutable:use Illuminate\Console\Command;use Illuminate support racades Redis:use InvalidArgumentException;Jaminnyoos Autonatedrenortsrequestbenerate.sk.amznnvreoort..o0:use Jiminny|Jobs\AutomatedReports\SendReportMailJob;Jiminny Jobs Crm.Delete VerifvActivitvcrmTaskJo0:use Jiminny|Jobs\Crm\MatchActivityCrmData;use Jiminny Jobs obDispatcherinterface.use Jiminny|Models\Activity;use Jminnv Modes AutomatedRenont.use Jiminny\Models\AutomatedReportResult;use liminnv Models Teamuse Jiminny\Models\User;use_liminnv.Renositonies AutomatedRenontcRenository•use Jiminny|Services\Activity\CrmOwnerResolver;use_liminnv.Services Kiosk AutomatedRenonts.AutomatedRenontcServico:use Jiminny|Services\UserPilot\UserPilotClient;© 9 files committedJY-20/25 ado ns rate limit nandlina on activitiesrematchinaEdit Commit Messaae.* Class LiminnyDebugCommangW Windsurf Teams46:57 UTF-8 f2 4 spaces...
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<?php
declare(strict_types=1);
namespace Jiminny\Services\Crm\Hubspot;
use HubSpot\Client\Crm\Deals\ApiException as DealApiException;
use HubSpot\Client\Crm\Contacts\ApiException as ContactApiException;
use HubSpot\Client\Crm\Companies\ApiException as CompanyApiException;
use HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectWithAssociations as ContactsWithAssociations;
use HubSpot\Client\Crm\Companies\Model\SimplePublicObjectWithAssociations as CompaniesWithAssociations;
use HubSpot\Client\Crm\Deals\Model\SimplePublicObjectWithAssociations as DealWithAssociations;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectInput;
use HubSpot\Client\Crm\Objects\Model\SimplePublicObjectWithAssociations as ObjectWithAssociations;
use HubSpot\Client\Crm\Pipelines\Model\Error;
use HubSpot\Client\Crm\Pipelines\Model\PipelineStage;
use HubSpot\Client\Crm\Properties\Model\Property;
use HubSpot\Discovery\Discovery;
use Jiminny\Exceptions\CrmException;
use Jiminny\Exceptions\RateLimitException;
use Jiminny\Exceptions\SocialAccountTokenInvalidException;
use Jiminny\Jobs\Crm\NoteObject;
use Jiminny\Models\Crm\Field;
use Jiminny\Services\Crm\BaseClient;
use Jiminny\Services\Crm\Hubspot\DTO\Response\Owner;
use Jiminny\Services\SocialAccountService;
use SevenShores\Hubspot\Exceptions\BadRequest;
use SevenShores\Hubspot\Exceptions\HubspotException;
use SevenShores\Hubspot\Factory;
use SevenShores\Hubspot\Http\Response;
use Jiminny\Services\Crm\Hubspot\Pagination\HubspotPaginationService;
use Illuminate\Support\Facades\Redis;
use Throwable;
/**
* @phpstan-type CrmFieldOption array{id:string, label:string, value?:string}
*/
class Client extends BaseClient implements HubspotClientInterface
{
public const string MIN_API_VERSION = '2';
public const string BASE_URL = '[URL_WITH_CREDENTIALS] T
*
* @param callable(): T $apiCall The API call to execute
*
* @throws RateLimitException When rate limit is hit or cached rate limit is active
*
* @return T The result of the API call
*/
private function executeRequest(callable $apiCall)
{
$cacheKey = $this->getRateLimitCacheKey();
$cachedExpiresAt = Redis::get($cacheKey);
if (is_string($cachedExpiresAt) && is_numeric($cachedExpiresAt)) {
$remaining = max(1, (int) $cachedExpiresAt - time());
throw new RateLimitException(
'Hubspot rate limit (cached circuit-breaker)',
$remaining,
);
}
try {
return $apiCall();
} catch (Throwable $e) {
if ($this->isHubspotRateLimit($e)) {
$retryAfter = $this->parseRetryAfter($e);
// NX: only the first job to receive a 429 in this burst sets the key.
// Subsequent 429s in the same burst leave the TTL untouched so the
// window is not reset by every concurrent job hitting the limit.
Redis::set($cacheKey, (string) (time() + $retryAfter), ['nx', 'ex' => $retryAfter]);
$this->log->warning('[Hubspot] Received 429 from API', [
'team_id' => $this->config->team_id,
'config_id' => $this->config->getId(),
'retry_after' => $retryAfter,
'reason' => $e->getMessage(),
]);
throw new RateLimitException('Hubspot returned 429', $retryAfter, $e);
}
throw $e;
}
}
private function getRateLimitCacheKey(): string
{
return sprintf('hubspot:ratelimit:portal:%d', $this->config->getId());
}
public function isHubspotRateLimit(Throwable $e): bool
{
if ($e instanceof BadRequest
|| $e instanceof DealApiException
|| $e instanceof ContactApiException
|| $e instanceof CompanyApiException
|| $e instanceof \GuzzleHttp\Exception\RequestException
) {
return (int) $e->getCode() === 429;
}
return false;
}
public function parseRetryAfter(Throwable $e): int
{
if (method_exists($e, 'getResponseHeaders')) {
$headers = $e->getResponseHeaders() ?: [];
$value = $headers['Retry-After'] ?? $headers['retry-after'] ?? null;
if (is_array($value)) {
$value = $value[0] ?? null;
}
if (is_numeric($value)) {
return (int) $value;
}
}
$message = strtolower($e->getMessage());
if (str_contains($message, 'daily')) {
return 600;
}
if (str_contains($message, 'ten secondly')) {
return 10;
}
if (str_contains($message, 'secondly')) {
return 1;
}
$this->log->warning('[Hubspot] No retry-after header or known message, using default', [
'exception_class' => get_class($e),
'message' => $message,
]);
return 10;
}
public function getMinimumApiVersion(): string
{
return self::MIN_API_VERSION;
}
public function getInstance(): Factory
{
return new Factory([
'key' => $this->accessToken,
'oauth2' => true,
'base_url' => $this->baseUrl,
]);
}
public function getNewInstance(): Discovery
{
return \HubSpot\Factory::createWithAccessToken($this->accessToken);
}
/**
* Secondly and daily limits for Hubspot API
*
* Product Tier: Free & Starter | Professional & Enterprise | API add-on (any tier)
* Burst: 100/10 seconds | 150/10 seconds | 200/10 seconds
* Daily: 250,000 | 500,000 | 1,000,000
*
* Official documentation states: The search endpoints are rate limited to five requests per second.
* Since with 5 RPS were still hitting secondly rate limits we lowered it to 4
*/
public function getPaginatedData(array $payload, string $type, int $offset = 0): array
{
$total = 0;
$lastId = null;
$rows = [];
foreach ($this->getPaginatedDataGenerator($payload, $type, $offset, $total, $lastId) as $row) {
$rows[] = $row;
}
return ['results' => $rows, 'total' => $total, 'last_record' => $lastId];
}
/**
* @throws HubspotException
* @throws SocialAccountTokenInvalidException
* @throws BadRequest
*/
public function getPaginatedDataGenerator(
array $payload,
string $type,
int $offset = 0,
int &$total = 0,
?string &$lastRecordId = null
): \Generator {
return $this->paginationService->getPaginatedDataGenerator(
$this,
$payload,
$type,
$offset,
$total,
$lastRecordId
);
}
/**
* Execute a search request against HubSpot CRM objects with rate limiting.
*
* @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')
* @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.
*
* @throws RateLimitException When rate limit is hit
* @throws HubspotException On API errors
*
* @return array The search response with 'results', 'total', 'paging' keys
*/
public function search(string $objectType, array $payload): array
{
$endpoint = self::BASE_URL . "/crm/v3/objects/{$objectType}/search";
return $this->executeRequest(function () use ($endpoint, $payload) {
$response = $this->getInstance()->getClient()->request('POST', $endpoint, ['json' => $payload]);
return $response->toArray();
});
}
/**
* @throws DealApiException
* @throws CrmException
*/
public function getOpportunityById(string $crmId, array $fields): array
{
try {
$deal = $this->getNewInstance()->crm()->deals()->basicApi()->getById(
$crmId,
implode(',', $fields),
'companies,contacts'
);
} catch (DealApiException $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $deal instanceof DealWithAssociations) {
throw new CrmException('Deal not found');
}
return [
'id' => $deal->getId(),
'properties' => $deal->getProperties(),
'associations' => $deal->getAssociations(),
];
}
/**
* Generic batch read method for HubSpot objects
*
* @param string $objectType The object type ('deals', 'companies', 'contacts')
* @param array<string> $crmIds Array of HubSpot object IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with object data
*/
private function batchReadObjects(string $objectType, array $crmIds, array $fields): array
{
if (empty($crmIds)) {
return [];
}
$this->validateBatchSize($objectType, $crmIds);
$this->ensureValidToken();
try {
$batchConfig = $this->createBatchConfiguration($objectType);
$batchReadRequest = $this->prepareBatchRequest($batchConfig, $crmIds, $fields);
$response = $batchConfig['api']->read($batchReadRequest);
$this->validateApiResponse($response, $objectType);
$results = $this->processApiResults($response);
$this->logBatchResults($objectType, $crmIds, $results);
return $results;
} catch (\Throwable $e) {
$this->handleBatchError($e, $objectType, $crmIds);
}
}
private function validateBatchSize(string $objectType, array $crmIds): void
{
if (count($crmIds) > 100) {
throw new \InvalidArgumentException("Batch size cannot exceed 100 {$objectType}");
}
}
private function createBatchConfiguration(string $objectType): array
{
$configurations = [
'deals' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Deals\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Deals\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->deals()->batchApi(),
],
'companies' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Companies\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Companies\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->companies()->batchApi(),
],
'contacts' => [
'batchReadRequest' => new \HubSpot\Client\Crm\Contacts\Model\BatchReadInputSimplePublicObjectId(),
'inputClass' => \HubSpot\Client\Crm\Contacts\Model\SimplePublicObjectId::class,
'api' => $this->getNewInstance()->crm()->contacts()->batchApi(),
],
];
if (! isset($configurations[$objectType])) {
throw new \InvalidArgumentException("Unsupported object type: {$objectType}");
}
return $configurations[$objectType];
}
private function prepareBatchRequest(array $batchConfig, array $crmIds, array $fields): object
{
$batchReadRequest = $batchConfig['batchReadRequest'];
$inputClass = $batchConfig['inputClass'];
$inputs = array_map(function ($crmId) use ($inputClass) {
$input = new $inputClass();
$input->setId($crmId);
return $input;
}, $crmIds);
$batchReadRequest->setInputs($inputs);
$batchReadRequest->setProperties($fields);
return $batchReadRequest;
}
private function validateApiResponse($response, string $objectType): void
{
if (! $response) {
throw new CrmException("HubSpot API returned null response for {$objectType} batch read");
}
}
private function processApiResults($response): array
{
$results = [];
$responseResults = $response->getResults();
if ($responseResults) {
foreach ($responseResults as $object) {
if ($object && $object->getId()) {
$results[$object->getId()] = [
'id' => $object->getId(),
'properties' => $object->getProperties() ?: [],
];
}
}
}
return $results;
}
private function logBatchResults(string $objectType, array $crmIds, array $results): void
{
$this->log->info("[HubSpot] Batch fetched {$objectType}", [
'requested_count' => count($crmIds),
'returned_count' => count($results),
'crm_ids' => $crmIds,
]);
}
private function handleBatchError(\Throwable $e, string $objectType, array $crmIds): void
{
$errorMessage = $e->getMessage() ?: 'Unknown error';
$errorTrace = $e->getTraceAsString() ?: 'No trace available';
$this->log->error("[HubSpot] Failed to batch fetch {$objectType}", [
'crm_ids' => $crmIds,
'error' => $errorMessage,
'trace' => $errorTrace,
]);
throw new CrmException("Failed to batch fetch {$objectType}: " . $errorMessage);
}
/**
* Batch read multiple opportunities by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot deal IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with opportunity data
*/
public function getOpportunitiesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('deals', $crmIds, $fields);
}
/**
* Batch read multiple companies by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot company IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with company data
*/
public function getCompaniesByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('companies', $crmIds, $fields);
}
/**
* Batch read multiple contacts by their CRM IDs
*
* @param array<string> $crmIds Array of HubSpot contact IDs (max 100)
* @param array<string> $fields Array of property names to fetch
*
* @return array<string, array> Array keyed by CRM ID with contact data
*/
public function getContactsByIds(array $crmIds, array $fields): array
{
return $this->batchReadObjects('contacts', $crmIds, $fields);
}
/**
* @throws CompanyApiException
* @throws CrmException
*/
public function getAccountById(string $crmId, array $fields): array
{
try {
$company = $this->getNewInstance()->crm()->companies()->basicApi()->getById(
$crmId,
implode(',', $fields),
);
} catch (CompanyApiException $e) {
$this->log->info('[Hubspot] Failed to fetch account', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $company instanceof CompaniesWithAssociations) {
throw new CrmException('Account not found');
}
return [
'id' => $company->getId(),
'properties' => $company->getProperties(),
];
}
/**
* @throws ContactApiException
* @throws CrmException
*/
public function getContactById(string $crmId, array $fields): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$crmId,
implode(',', $fields)
);
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'crm_id' => $crmId,
'reason' => $e->getMessage(),
]);
throw $e;
}
if (! $contact instanceof ContactsWithAssociations) {
throw new CrmException('Contact not found');
}
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
}
/**
* This is email search request that Hubspot offers as GET (more generous quota)
*/
public function getContactByEmail(string $email, array $fields = []): array
{
try {
$contact = $this->getNewInstance()->crm()->contacts()->basicApi()->getById(
$email,
implode(',', $fields),
null,
false,
'email'
);
return [
'id' => $contact->getId(),
'properties' => $contact->getProperties(),
];
} catch (ContactApiException $e) {
$this->log->info('[Hubspot] Failed to fetch contact', [
'email' => $email,
'reason' => $e->getMessage(),
]);
return [];
}
}
/**
* @throws CrmException
*/
public function fetchProperty(string $objectType, string $propertyId): Property
{
$result = $this->getNewInstance()->crm()->properties()->coreApi()->getByName($objectType, $propertyId);
if (! $result instanceof Property) {
$this->log->error('[Hubspot] Failed to fetch property', [
'object_type' => $objectType,
'property_id' => $propertyId,
'reason' => $result->getMessage(),
]);
throw new CrmException('Failed to fetch property');
}
return $result;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchPropertyOptions(string $objectType, string $propertyId): array
{
/** @var array<CrmFieldOption> */
return $this->fetchProperty($objectType, $propertyId)->getOptions();
}
/**
* @return array<array{id:string, label:string, deleted:bool}>
*/
public function fetchCallDispositions(): array
{
/** @var Response $response */
$response = $this->getInstance()->engagements()->getCallDispositions();
/**
* @var array<array{
* id:string,
* label:string,
* deleted: bool
* }>
*/
return $response->toArray();
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityPipelineStages(): array
{
$stages = [];
$apiResponse = $this->getNewInstance()->crm()->pipelines()->pipelinesApi()->getAll('deals');
if ($apiResponse instanceof Error) {
$this->log->error('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $apiResponse->getMessage(),
]);
return [];
}
foreach ($apiResponse->getResults() as $pipeline) {
$pipelineStages = array_map(
static function (PipelineStage $stage) {
return [
'id' => $stage->getId(),
'label' => $stage->getLabel(),
];
},
$pipeline->getStages()
);
$stages = array_merge($stages, $pipelineStages);
}
return $stages;
}
public function fetchOpportunityPipelines(): array
{
$pipelines = [];
try {
$apiResponse = $this->makeRequest('/crm/v3/pipelines/deals');
} catch (\Exception $e) {
$this->log->info('[Hubspot] Failed to fetch opportunity pipelines', [
'reason' => $e->getMessage(),
]);
return [];
}
$response = $apiResponse->toArray();
foreach ($response['results'] as $pipeline) {
$pipelines[] = [
'id' => $pipeline['id'],
'label' => $pipeline['label'],
];
}
return $pipelines;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchMeetingOutcomeFieldOptions(Field $field): array
{
return $field->getCrmProviderId() === 'meetingOutcome'
? $this->fetchMeetingOutcomeTypes()
: $this->fetchCallActivityTypes();
}
public function fetchMeetingOutcomeTypes(): array
{
return $this->extractMeetingTypeOptions(
'[URL_WITH_CREDENTIALS] Response $response */
$response = $this->getInstance()
->getClient()
->request('GET', $endpoint);
/**
* @var array<array{
* value: string,
* label: string,
* displayOrder: int
* }> $optionData
*/
$optionData = $response->toArray()['options'] ?? [];
$options = [];
foreach ($optionData as $item) {
$options[] = [
'id' => $item['value'],
'value' => $item['value'],
'label' => $item['label'],
'display_order' => $item['displayOrder'],
];
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchDispositionFieldOptions(): array
{
$options = [];
$dispositions = $this->fetchCallDispositions();
foreach ($dispositions as $disposition) {
if ($disposition['deleted'] !== false) {
continue;
}
$option['value'] = $disposition['id'];
$option['id'] = $disposition['id'];
$option['label'] = $disposition['label'];
$options[] = $option;
}
return $options;
}
/**
* @return array<CrmFieldOption>
*/
public function fetchOpportunityFieldOptions(Field $field): array
{
if ($field->isStageField()) {
return $this->fetchOpportunityPipelineStages();
}
if ($field->isPipelineField()) {
return $this->fetchOpportunityPipelines();
}
return $this->fetchPropertyOptions('deals', $field->getCrmProviderId());
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function makeRequest(string $endpoint, $method = 'GET', $payload = [], ?string $queryString = null)
{
$endpoint = self::BASE_URL . $endpoint;
if ($method === 'GET') {
return $this->getInstance()->getClient()?->request(
method: $method,
endpoint: $endpoint,
query_string: $queryString
);
} else {
return $this->getInstance()->getClient()->request($method, $endpoint, [
'json' => ($payload),
]);
}
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function createMeeting(array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings';
return $this->makeRequest($endpoint, 'POST', $payload);
}
/**
* @throws BadRequest
* @throws HubspotException
*/
public function updateMeeting(string $meetingId, array $payload): Response
{
$endpoint = '/crm/v3/objects/meetings/' . $meetingId;
return $this->makeRequest($endpoint, 'PATCH', $payload);
}
/**
* @throws \Exception
*/
public function createNote(
string $body,
string $ownerId,
int $timestamp,
string $objectId,
NoteObject $noteObject
): ?string {
try {
$noteInput = new SimplePublicObjectInput([
'properties' => [
'hs_note_body' => $body,
'hubspot_owner_id' => $ownerId,
'hs_timestamp' => $timestamp,
],
]);
// Create note
$note = $this->getNewInstance()->crm()->objects()->basicApi()->create('note', $noteInput);
$this->getNewInstance()->crm()->objects()->associationsApi()->create(
'note',
$note->getId(),
$this->getNoteObject($noteObject),
$objectId,
$this->getNoteAssociationType($noteObject),
);
return $note->getId();
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to create note', [
'objectId' => $objectId,
'noteObject' => $noteObject->getObjectType(),
'reason' => $e->getMessage(),
]);
\Sentry::captureException($e);
}
return null;
}
public function updateEngagement(string $objectId, array $engagement, array $metadata): void
{
$this->getInstance()->engagements()->update($objectId, $engagement, $metadata);
}
public function getEngagementData(string $engagementId): array
{
$engagement = $this->getInstance()->engagements()->get($engagementId);
return $engagement->toArray();
}
public function createEngagement(array $engagement, array $associations, array $metadata): Response
{
return $this->getInstance()
->engagements()
->create($engagement, $associations, $metadata);
}
public function isUnauthorizedException(\Exception $e): bool
{
// Check for specific HubSpot API exception types first
if ($e instanceof BadRequest) {
// BadRequest can contain 401 status codes
return $e->getCode() === 401;
}
// Check for HTTP client exceptions with status codes
if ($e instanceof \GuzzleHttp\Exception\RequestException && $e->hasResponse()) {
$response = $e->getResponse();
if ($response !== null) {
return $response->getStatusCode() === 401;
}
}
// Check for Guzzle HTTP exceptions
if ($e instanceof \GuzzleHttp\Exception\ClientException) {
return $e->getCode() === 401;
}
// Fallback to string matching as last resort, but be more specific
$message = strtolower($e->getMessage());
return str_contains($message, '401 unauthorized') ||
str_contains($message, 'http 401') ||
str_contains($message, 'status code 401') ||
(preg_match('/\b401\b/', $message) && str_contains($message, 'unauthorized'));
}
/**
* Validates and refreshes the access token if needed before API requests.
* This ensures long-running processes don't fail due to token expiration.
*
* @throws SocialAccountTokenInvalidException
*/
public function ensureValidToken(): void
{
if ($this->oauthAccount === null) {
return;
}
$newToken = $this->tokenManager->ensureValidToken($this->oauthAccount);
if ($newToken !== null) {
$this->accessToken = $newToken;
}
}
public function getConfig()
{
return $this->config;
}
// returns only active (archived=false)
public function getOwners(): array
{
return $this->getNewInstance()->crm()->owners()->getAll();
}
/**
* @param bool $archived
*
* @return array<Owner>|[]
*/
public function getOwnersArchived(bool $archived = true): array
{
$endpoint = '/crm/v3/owners';
$queryParams = [
'archived' => $archived ? 'true' : 'false',
];
$queryString = http_build_query($queryParams);
$owners = [];
try {
$response = $this->makeRequest(endpoint: $endpoint, queryString: $queryString);
$responseData = $response?->toArray();
foreach ($responseData['results'] as $result) {
try {
$owners[] = Owner::create($result);
} catch (Throwable $e) {
$this->log->error('[HubSpot] Failed to process owner data', [
'result' => $result,
'error' => $e->getMessage(),
]);
continue;
}
}
} catch (Throwable $e) {
$this->log->error('HubSpot] Failed to fetch owners', [
'archived' => $archived,
'error' => $e->getMessage(),
]);
return [];
}
return $owners;
}
public function getMeeting(string $engagementId): ObjectWithAssociations
{
return $this->getNewInstance()->crm()->objects()->basicApi()
->getById('meeting', $engagementId, null, 'contact,company,deal');
}
public function deleteEngagement(string $engagementId): void
{
$this->getInstance()->engagements()->delete((int) $engagementId);
}
public function getAssociationsData(array $ids, string $fromObject, string $toObject): array
{
$associationData = [];
$idChunks = array_chunk($ids, self::ASSOCIATIONS_BATCH_SIZE_LIMIT);
foreach ($idChunks as $idChunk) {
try {
$batchInput = new \HubSpot\Client\Crm\Associations\Model\BatchInputPublicObjectId();
$batchInput->setInputs(array_map(function ($id) {
$publicObjectId = new \HubSpot\Client\Crm\Associations\Model\PublicObjectId();
$publicObjectId->setId($id);
return $publicObjectId;
}, $idChunk));
$associatedObjectsData = $this
->getNewInstance()
->crm()
->associations()
->batchApi()
->read($fromObject, $toObject, $batchInput);
if ($associatedObjectsData instanceof \HubSpot\Client\Crm\Associations\Model\BatchResponsePublicAssociationMulti) {
foreach ($associatedObjectsData->getResults() as $association) {
$from = $association->getFrom()->getId();
$toAssociations = $association->getTo();
if (! empty($toAssociations)) {
$associationData[$from] = array_map(function ($item) {
return $item->getId();
}, $toAssociations);
}
}
}
} catch (\Exception $e) {
$this->log->error('[Hubspot] Failed to fetch associations', [
'from_object' => $fromObject,
'to_object' => $toObject,
'reason' => $e->getMessage(),
]);
}
}
return $associationData;
}
/**
* @throws \Exception
*/
private function getNoteAssociationType(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'note_to_deal',
NoteObject::Lead, NoteObject::Contact => 'note_to_contact', // or 'note_to_lead' if your portal supports it
NoteObject::Account => 'note_to_company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
/**
* @throws \Exception
*/
private function getNoteObject(NoteObject $noteObject): string
{
return match($noteObject) {
NoteObject::Opportunity => 'deal',
NoteObject::Lead, NoteObject::Contact => 'contact',
NoteObject::Account => 'company',
NoteObject::Call, NoteObject::Event => throw new \Exception('Not supported'),
};
}
public function addAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/create";
return $this->makeRequest($endpoint, 'POST', $payload);
}
public function removeAssociations(string $objectType, string $associationType, array $payload): Response
{
$endpoint = "/crm/v4/associations/$objectType/$associationType/batch/archive";
return $this->makeRequest($endpoint, 'POST', $payload);
}
}
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JY-20725 add HS rate limit handling on activities rematching
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iTerm2ShellEditViewSessionScriptsProfilesWindowHelp>0.APP (-zsh)DOCKER- ₴81DEV (docker)₴2APP (-zsh)-zsh84* @param string SobjectType The object type('deals''companies''contacts', 'calls')* @param array<string, mixed>Spayload Thesearch payload with filters, sorts, properties, etc.* @return array The search response with'results''total','paging' keys* @throws RateLimitException When rate limit is hit* @throws HubspotException On API errors** @return array The search response with 'results', 'total', 'paging' keys*/public function search(string SobjectType, array Spayload): array;(ahlg Preparation for Refi... 21 m left-zsh*5ffmpeg100% <78• Mon 11 May 15:39:23181O 886-zsh*7 |+APPend diff3) app/Services/Crm/Hubspot/Client.php (phpdoc_order, phpdoc_separation, blank_line_before_statement)•- begin diff/home/jiminny/app/Services/Crm/Hubspot/Client.php+++/home/jiminny/app/Services/Crm/Hubspot/Client.php@@-69,10 +69,120* the cache near expiry are not delayed longer than necessary.** @template T** @paramcallable(): T SapiCall The API call to execute* @return TTheresult ofthe APIcall*+* @throws RateLimitException When rate limit is hit or cached rate limit is active* @return T The result of the API call*/private function executeRequest(callable Sapi(all)-81,6 +83,7 00ScachedExpiresAt = Redis: :get(ScacheKey);if (is_string(ScachedExpiresAt) && is_numeric(ScachedExpiresAt)) {Sremaining = max(1, (int) ScachedExpiresAt - time());throw new RateLimitException("Hubspot rate limit (cached circuit-breaker)',Sremaining,-232,9 +235,11 @e* @param string SobjectType The object type ('deals', 'companies'.* @param array<string,tryxe inepabject tye s 'adeh pa oca anh fiitero, sotss, properties, etc.* @return array Thesearch response with'total', 'paging' keys...
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94% 52• Wed 6 May 20:30:23ActivityLateMoreSlackVi 94% 52• Wed 6 May 20:30:23ActivityLateMoreSlackVievJiminny …..yDratts & sent.88 DirectoriasAb External connections** Starredijiminny-x-integrati.platform-inner-teamE) Channels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity lab# engineering# general# jiminny-bg# platform-ticketsi product aunches# random# releases# sofia-office# support# thank-yous# the people of jimi..ó- Direct messages(3) Aneliva Angelova. ...Stovan Tanev €Stefka Stoyanova7 Ves.% Galya Dimitrova E1e. Aneliva Angelova0 Vasil VasilevJames GrahamNikolav Ivanova Inkas Kovali•AnncmistonWindowHelp@ Describe what you are looking forJhra cloudHomeMessages 9+1 15 new messages XStatus: In Dey(NI Assienee: Nikolay IvanovPrioritv:MCommentMore actions.Jira Cloua Arr 4:58 PM@Nikolay Ivanov transitioned a Story you are watching from Code Review — Ready for DeploymentJY-20/40 Kelease AJ Panorama reports to customersStatus: Keady for DeploymentN Type: StoryNI Assignee: Nikolay IvanovT Priority: MediumThursdav. April 30thvJira Cloud APP 11:43 AM@Nikolay Ivanov transitioned a Story you are watching from Ready for Deployment — DeployedJY-20740 Release AJ Panorama reports to customersCtatue. MonlovodNI Accionoo- Nilolov Ivanoy1 Drioritu- ModiumJira Cloud APP 5:52 PM@Nikolay Ivanov transitioned a Bug you are watching from In Dev → Code ReviewJY-20699 Wrong formattine for summarv in the CRMStatus: Code Review• Tvne: BueNI Assienee: Nikolay Ivanov1 Prioritv: Medium@Nikolay Ivanov commented on a Bug you are watchingJY-20699 Wrong formatting for summary in the CRMRofaro ve Aftor• • 0O, Chat= Cowork">code+ New chat• Prolects8 Artifacts• customizeBulgarian citizenship application proces:Dawarich location tracking proiectViewing retention policy in screenpipeClean shot x video recording terminationHubSpot rate limit handling with executeUntitledScreen pipe. Is there ability…SMB mount access inconsistency betwe—What is the best switch can..Permiccion denied on screennine volumeScreenpipe sync database attachment eLast swimming outing with DaniDetinition of incarceratedChromecast remote volume buttons notSalesforce APl errors with OrganizationDaily activity summary from screenpipeMacBook unexpected restarts and kanjiSecurity patch review and testing guidarFood calorie values referenceTracking location historv from last weekScreennine WAL processing when stoorScreenpipe retention policy code location v3. Wipe local datarm -rf ~/.screenpipe/4. Clear npx cacherm -rf ~.npm/_npx5. Fresh startnpx screenpipealatest record --disable-audio --ignored-windows "Boosteroid" --retentioThat's it. Your NAS archive is untouched and the sync script will be re-created... wait, actually— vou just deleted ~/.screenpipe/ whichincludes screenpipe svnc.sh.Copv it out firstco ~ screenoine/screenoioe svnc.sh ~ screenoipe svnc.shDo that before sted 3. then after screenpide creates the fresh ~/. screenpipe/ directorv ornret run. move if back.mv ~/screenpipe sync.sh -/.screenpipe/screenpipe sync.shMondav. Mav 4thvJira Cloud APP 11:54 AM@Nikolay Ivanov transitioned a Bug vou are watchine from Code Review _ DeplovedJY-20699 Wrong formatting for summary in the CRMpawleeanhwa• Tvoe: BugNt Aecianos. Nitoley tuann1 Dinitr MadiomCommentMessage Jira Gloud+ ДаKeep going in Claude CodeSwitch to Claude Code and let Claude work directlv in vour reno.running and testing as it goes.Write a message…Open Claude CodeCannotAkyRelaunch to updatelK lukas. ProCiaudo ic Aland can make mictakes Plesco double-chock racnoncod...
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: [Platform] Refinemen... 24 m left100% L2Mon 11 M : [Platform] Refinemen... 24 m left100% L2Mon 11 May 16:36:22V APP#Client.oho 9w HubspotPaqinationService.phoapp > Services > Crm › Hubspot › Pagination › #* HubspotPaginationService.php › g HubspotPaginationService › executeSearchRequest()private tunction shouldswitchtoKevsetPaqlnation PaqinationState Sstate, 1nt SresultsPerPage: boolSshouldSwitch=sstate->reauestcount> 0s Estate->offset + SresultsPerPade Padinat IonConTiOAATONAL QUERY LAMEif ($shouldSwitch && $state->lastRecordId === null) {Sthis->logger->warning(' [Hubspot] Cannot switch to keyset pagination: lastRecordId is null', [results per page => SresultsPerPage'total query Uimit' = PaginationConfia:: TOTAL OUERY LIMITreturn false; // Continue with offset paginationDv 23 10~ OpportunitySyncStrategy• HubsnotLastModified@nenSvncStra..# HubspotLastModifiedSyncStrategy..# HubsootSinaleSyncstrategy.onp## HubspotSyncStrategyBase.php• HubsnotWebhookBatchSyncstrateg.Wwlallawwaawhuospotraginatlonservice.ong# PaginationConfig.phpPaginationstate.php> Redis~ Servicelraits# OpportunitySyncTrait.php• SvncCrmEntitiesTrait.phpwsuncrields.rait.ono• WriteCrmTrait.phr• Utils• Webhook# BatchSvncCollector.pho# BatchSvncRedisService.ohvCllient.nho* ClosedDealStagesService.oho* DealFieldsService.oho* DecorateActivitv.oho• FieldDefinitions.ohn• FieldTvneConverter.ohn# HubspotClientinterface.php# HubspotTokenManager.php# PayloadBuilder.php*- PemoteCrmOhiectManinulator.nhn€* PecnonceNormalize nhn# Service.php# SyncFieldAction.phpw SynckelatedActivitymanager.php# WebhookSyncBatchProcessor.phpIntearationapo• Listeners> MetadataMiarationV Pipedrive• OpportunitySvncStrateav• ProspectSearchStrateavOUTIINETIMELINGI8 JY-20725-le-HS-search-rate-limit* Oprivate function validateTokenIfNeeded(Client Sclient, PaginationState Sstate): voidif (Sstate->shouldValidateTokeno)Sstate-sundateLastTokenChecko.private functzon executesearchkequest(ctlent sclient, string sobjectlype, array spayload, Paginatzonstate sstate): arraytry {Client.php ~/liminr/app/Services/Crm/Hubspot - Definitions (2clacs Client eytends Raceflient imnlementc HuhsnotClientInterfaceaparam array<string, mixed> Spayload The search payload with filters, sorts, properties. etc.athrows HubsnotFycention On APT errore: @return array The search response with 'results', 'total', 'paging' keyspublic function search(string $objectType, array Spayload): array$endpoint = self::BASE URL . "/crm/v3/objects/{$objectType}/search";return Sthis->executeRequest(function () use (Sendpoint, $payload) {Sresponse = Sthis->qetInstance()->getClient()→>request('POST', Sendpoint. ['ison' => Spavload"166catch (\Exception Se) {if (sclient->isUnauthorizedException(Se)) ^Sthis->loager-swarnina(*Hubsoot) Got 401 durina pagination. attemoting token refresh'. "'team id' =s Sclient->aetConfia@->aetTeam@-saetIdOr.= Se_saetMeççane().]):celfont. soncurololidTokonl),pdatelastTokenCheck():try 1Sresult = Sclient-ssearch(SobiectTvne. Spavload)•@6A902• Client nhnann/Services/Crm/Huhsnotfunction search(string SobjectType, array $payload):> Client.php /_claude vscode fs_riaht:/Users/lukas/i...1• 2 C23 Review rate limit handli..Keview fate lmit nanaling tor nuospouo..<> HandleHubspotRateLimit…fix @tests/Unit/Services/Crm/Hubspot/Pagination/HubspotPaginationServiceTest.php and @tests/Unit/Jobs/Crm/MatchActivityCrmDataTest.php• The stries property doesn't exist on MatchActivityCrmData - it uses retryUntil() instead. That assertion should check maxExceptions . Let me fix that and continue with the remaining breaks• Edit MatchActivityCrmDataTest.phpSthis-sassertSame(3, Siob-stries):<this_sascertSame/200. Cioh_stimeout())•Sjob->uniqueFor()):ertSame([30, 90, 180]. Siob>backoff()):Sthis-sasserteptions):$this->assertSame(300, Sjob->timeout()):Sjob->uniqueFor()):Sthis->assertSame([3090,1801. Siob->backoff()):• Edit MatchActivitycrmDatarest.pnppublic function testFailedMethodLogsError(): voidSexception = new \RuntimeException('Test failure');public function testfailedMethodLogsErrorl: voidSexception = new \RuntimeException('Test failure');sencry:: shoulokeceivecapturecxception→>once→>wich SexcepcionSiob = new MatchAct ivitvermbatalactivitvid: 123.fromConfiauration: null.siob = new MatchAct ivitvermbataactivitvid: 123.fromConfiguration: null,remoteSearch: true• Now the pagination service test. The root problem is createMock(Client::class) mocks search() to return ! , so the hubspotClientMock->request() chain is never reached. The fix is to mocksearch() directly and drop the HTTP client chain entirely.• Write HubspotPaginationServiceTest.phpdeclare(strict tvnes-1).Summary of what was tixed and whyMatchActiv1tycrmDatatest — two changes:• $job->tries → $job-•maxExceptions : the job has no $tries property; it uses retryUntil() for retry bounding and maxExceptions for exception counting•unqueronewassertonso0e4ouhmaches140 00obane ne KaRaDonNuESchanderne ole valuesoudont matchtnetolehormuaten nelrson wasareadyiorokel• testFailedMethodLoosError:added \Sentrv::shouldReceive('caotureExcention' ->once@ since failedo now calls itHubspotPaginationServiceTest — structural fix:WHEo1Gn I1EstmoceedW9e1eindeS9eeen1ee9eseexoei1oeeieteeeto be Galledithrouatha cha n Bu aaEea teMoak Ca sten H lass limockse seaa te mool return[] ), so request() was never reached — every test was silently returning 0 results. Fixed by mocking search() directly on $clientMock, which is the actual boundary the pagination service interacts with.Dropped the now-unused sfactorvMock.ShubspotClientMock. and creatAdd coverage of new methods in Clientª HubspotPaginationService.ohd#Ask before edit.A tnkos Vovolil 160 minutoe ondlSpaces: 4 UTF-8 LF ( PHP 8 SignIn 8.3P 0...
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Code
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HubspotPaginationService.php — app
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=+FirefoxFileEditViewHistoryBookmarksProfilesTools =+FirefoxFileEditViewHistoryBookmarksProfilesToolsWindowHelp(aol• Support Daily - in 3 h 33 m100% C78• Tue 12 May 11:27:06→Cws.planhat.com/jiminny/home/data-explorer/usagemetricdef?preview=UsageMetricDef.69f2c6529c9f21b58804Jiminny vSearch JiminnyContent Explorer7 MetricDatasetautomated-reports-track-interestEnd UserData ExplorerQ autactivities.automated-reports-track-interestCalendarNameNotificationsOverviewRaw DataTrace*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day2 Getting started GuideJust CS Data* Daily Operations05 May06 May07 May08 May• Weekly prep© Renewals and Upsell:= € Risk and Churn An...ImplementationImpl ProjectsTrial Opps (Under Rev...Stoyan's clients®+LukasFilter by CompanyMay 05, 2026 - May 11, 202609 May10 May11 MayDAYS Vas aSUM Vacross companiesNo groups found+ Show full listCommentsAdd a comment...
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Firefox
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Data Explorer — Work
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ws.planhat.com/jiminny/home/data-explorer/usagemet ws.planhat.com/jiminny/home/data-explorer/usagemetricdef?preview=UsageMetricDef.69f2c6529c9f21b58804f123...
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=+FirefoxFileEditViewHistoryBookmarksProfilesTools =+FirefoxFileEditViewHistoryBookmarksProfilesToolsWindowHelp= Support Daily - in 4 h 1 m100% C78• Tue 12 May 10:59:01→Cws.planhat.com/jiminny/home/data-explorer/usagemetricdef?preview=UsageMetricDef.69f2c6529c9f21b58804Jiminny vSearch JiminnyContent Explorer7 MetricDatasetautomated-reports-track-interestEnd UserData ExplorerQ autactivities.automated-reports-track-interestCalendarNameNotificationsOverviewRaw DataTrace*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day2 Getting started GuideJust CS Data* Daily Operations05 May06 May07 May08 May• Weekly prep© Renewals and Upsell:= € Risk and Churn An...ImplementationImpl ProjectsTrial Opps (Under Rev...Stoyan's clients®+LukasFilter by CompanyMay 05, 2026 - May 11, 202609 May10 May11 MayDAYS Vas aSUM Vacross companiesNo groups found+ Show full listCommentsAdd a comment...
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iTerm2
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=+FirefoxFileEditViewHistoryBookmarksProfilesTools =+FirefoxFileEditViewHistoryBookmarksProfilesToolsWindowHelp= Support Daily - in 4 h 1 m100% C78• Tue 12 May 10:59:02→Cws.planhat.com/jiminny/home/data-explorer/usagemetricdef?preview=UsageMetricDef.69f2c6529c9f21b58804Jiminny vSearch JiminnyContent Explorer7 MetricDatasetautomated-reports-track-interestEnd UserData ExplorerQ autactivities.automated-reports-track-interestCalendarNameNotificationsOverviewRaw DataTrace*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day2 Getting started GuideJust CS Data* Daily Operations05 May06 May07 May08 May• Weekly prep© Renewals and Upsell:= € Risk and Churn An...ImplementationImpl ProjectsTrial Opps (Under Rev...Stoyan's clients®+LukasFilter by CompanyMay 05, 2026 - May 11, 202609 May10 May11 MayDAYS Vas aSUM Vacross companiesNo groups found+ Show full listCommentsAdd a comment...
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Slack
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Petko Kashinski (DM) - Jiminny Inc - 4 new items - Petko Kashinski (DM) - Jiminny Inc - 4 new items - Slack...
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=+FirefoxFileEdit→JiminnyContent ExplorerData Expl =+FirefoxFileEdit→JiminnyContent ExplorerData ExplorerCalendarNotifications••• MoreSections -CS Day-to-day •Getting started Guide Just CS Data* Daily Operations• Weekly prepe Renewals and Upsell€ Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsViewHistoryBookmarksProfilesToolsWindowHelpablSupport Daily - in 3h 33 m100% (ws.planhat.com/jiminny/home/data-explorer/usagemetricdef?preview=UsageMetricDef.69f2c6529c9f21b58804Search JiminnyMetricDatasetautomated-reports-track-interestEnd UserQ autactivities.automated-reports-track-interestNameOverviewRaw DataTracev EndUser 1Metricsautomated-reports-track-305 May06 May07 MayFilter by Company08 May8• Tue 12 May 11:27:074+=Lukas© May 05, 2026 - May 11, 202609 MayDAYS V10 May11 Mayas aSUM Vacross companiesNo groups found+ Show full listCommentsAdd a comment...
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Firefox
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Data Explorer — Work
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NULL
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=+SlackFileEditViewGoHistoryWindowHelpws.planhat.c =+SlackFileEditViewGoHistoryWindowHelpws.planhat.com/jiminny/home/data-explorer/usageJiminny vSearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNameNotificationsOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day32 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•MoreablSupport Daily • in 3h 40 m100% (8•Tue 12 May 11:20:09ED→QDescribe what you are looking forJiminny ...& platform-inner-teamChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0• MessagesAdd canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+..•...
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PhpStorm
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faVsco.js – PlanhatService.php
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day2 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(ahlSupport Daily • in 3 h 37 m100% C78• Tue 12 May 11:23:17→Describe what you are looking forJiminny ...& platform-inner-teamChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...0 Direct messagesPetko KashinskiR. Steliyan Georgiev®. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0• MessagesAdd canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day2 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(aolSupport Daily • in 3 h 36 m100% C73• Tue 12 May 11:24:03→Describe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day2 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(aolSupport Daily • in 3 h 36 m100% C73• Tue 12 May 11:24:09→Describe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day2 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(aolSupport Daily • in 3 h 36 m100% C73• Tue 12 May 11:24:22→Describe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day2 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(aolSupport Daily • in 3 h 36 m100% C73• Tue 12 May 11:24:29→Describe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0• Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day2 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(aolSupport Daily • in 3h 45 m100% C73• Tue 12 May 11:15:44→Describe what you are looking forJiminny ...Steliyan Georgiev6 0External connections• Messagest Add canvas* Starred& jiminny-x-integrati…..8 platform-inner-teamChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...• Direct messages&. Petko KashinskiR. Steliyan Georgiev% Galya Dimitrova DO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да вьрнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерира+...
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Slack
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Steliyan Georgiev (DM) - Jiminny Inc - 4 new items Steliyan Georgiev (DM) - Jiminny Inc - 4 new items - Slack...
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day2 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(aol• Support Daily • in 3 h 34 m100% C73• Tue 12 May 11:26:13→Describe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity _lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day2 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(aol• Support Daily • in 3 h 34 m100% C73• Tue 12 May 11:26:15→Describe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity _lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0• Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day2 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(aol• Support Daily • in 3 h 34 m100% C73• Tue 12 May 11:26:25→Describe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity _lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
|
NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day2 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(aol• Support Daily • in 3 h 34 m100% C73• Tue 12 May 11:26:26→Describe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity _lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
|
NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day2 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(aol• Support Daily • in 3 h 34 m100% C73• Tue 12 May 11:26:34→Describe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity _lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day2 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(aol• Support Daily • in 3 h 34 m100% C73• Tue 12 May 11:26:38→Describe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity _lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+..•...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day2 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(aol• Support Daily • in 3 h 34 m100% C73• Tue 12 May 11:26:54→Describe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity _lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day32 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(ahlSupport Daily • in 3 h 37 m100% C73• Tue 12 May 11:23:31→Describe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev®. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0• Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day32 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(ahlSupport Daily • in 3 h 37 m100% C73• Tue 12 May 11:23:38→QDescribe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day32 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(ahlSupport Daily • in 3 h 37 m100% C73• Tue 12 May 11:23:42→Describe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0• Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
|
NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day32 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(ahlSupport Daily • in 3 h 37 m100% C73• Tue 12 May 11:23:46→QDescribe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0• Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day32 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(ahlSupport Daily • in 3 h 37 m100% C73• Tue 12 May 11:23:52→QDescribe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0• Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day32 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(ahlSupport Daily • in 3 h 37 m100% C73• Tue 12 May 11:24:00→QDescribe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity_lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day32 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(aolSupport Daily • in 3 h 35 m100% C73• Tue 12 May 11:25:23→Describe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity _lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day32 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(aolSupport Daily • in 3 h 35 m100% C73• Tue 12 May 11:25:28→Describe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity _lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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=+SlackFileEditViewGoHistoryWindowHelp→ws.planhat. =+SlackFileEditViewGoHistoryWindowHelp→ws.planhat.com/jiminny/home/data-explorer/usageJiminnySearch JiminnyContent Explorer7 Metric |Datasetautomated-reports-traEnd UserData ExplorerQ autactivities.automated-reports-CalendarNotificationsNameOverviewRaw DataTral*• Morev EndUser 1Metricsautomated-reports-track-Sections +CS Day-to-day32 Getting started GuideJust CS Data* Daily Operations05 May06 May07• Weekly prep© Renewals and Upsell:= € Risk and Churn An...Implementation -Impl ProjectsTrial Opps (Under Rev...Stoyan's clientsCommentsAdd a commentHomeDMsActivityFilesLater..•More(aolSupport Daily • in 3 h 35 m100% C73• Tue 12 May 11:25:32→Describe what you are looking forJiminny ...eam+ More unreadsChannels# ai-chapter# alerts# backend# bugs# confusion-clinic# curiosity _lab# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi..0 Direct messagesPetko KashinskiR. Steliyan Georgiev%. Galya Dimitrovae. Aneliya Angelova&. Stefka Stoyanova€. Vasil Vasilev. Nikolay IvanovSteliyan Georgiev6 0Messagest Add canvasO Files+AutomaTodayPreview in wawnStatusBacklogPriority= MediumAssigneeUnassignedAs of today at 10:46 AM RefreshOpen in JiraSummariseпроблем беше че няма pdf_url сега ще серазровя за конкретен репорти идеята е на РНР да не го пробваме през час ноГаля попита за регенериранепредполагам че е нещо случайно най-вероятносамо един репортза бъдеще може да в самия пропхет има липроверка дали има всичко преди да върнеresponse, или пак от РНР да се провери предипращане и да се пусне отновоSteliyan Georgiev 10:51 AMможе да направя профет ако няма pdf_url, даврьща грешка за пхп?Lukas Kovalik 10:51 AMпо-скоро да се регенерираMessage Steliyan Georgiev+...
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PhpStorm
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faVsco.js – console [PROD]
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NULL
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