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momentry_core/docs/M5_SETUP_LOG.md
Accusys 39ba5ddf76 feat: Phase 1 handover - schema migration, correction mechanism, API fixes 
Schema changes: dev.chunks->dev.chunk, remove old_chunk_id/chunk_index
Correction: asr-1.json format, generate/apply scripts
API: 37/37 endpoints fixed and tested
Docs: HANDOVER_V2.0.md for M4
2026-05-11 07:03:22 +08:00

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M5 Dev Environment Setup Log

Machine: M5 MacBook Pro (MacOS 26.4.1, Apple M5 Max, 48GB) User: accusys (admin group, sudo with password) Date: 2026-05-06 Setup by: OpenCode

1. Source Code

Item Detail
Repo https://gitea.momentry.ddns.net/warren/momentry_core.git
Branch main
Commit bac6c2d (feat: identity clustering V3.0)
Sync method rsync from M4 (192.168.110.210)
Path ~/momentry_core_0.1/

2. Installed Services

2.1 PostgreSQL 18.3

Field Value
Source https://ftp.postgresql.org/pub/source/v18.3/postgresql-18.3.tar.gz
GitHub https://github.com/postgresql/postgresql
Build method Manual ./configure && make && make install
Prefix ~/pgsql/18.3/
Data dir ~/pgsql/data/
Port 5432
Version PostgreSQL 18.3
SHA256 ab04939aafdb9e8487c2f13dda91e6a4a7f4c83368f5bedd23ee4ad1fda64afb
Start command pg_ctl -D ~/pgsql/data -l ~/pgsql/pg.log start
Configure flags --prefix=$HOME/pgsql/18.3 --with-uuid=e2fs --with-icu --with-openssl
Build date 2026-05-06
Notes --with-uuid=e2fs used (requires Homebrew e2fsprogs). macOS built-in UUID not detected by configure.

2.2 pgvector 0.8.2

Field Value
Source https://github.com/pgvector/pgvector
Version v0.8.2
Build method git clone && make && make install
SHA256 65dec31ec078d60ee9d8e1dac59be8a41edf8c79bf380cd0093691b0afd257a8
Build date 2026-05-06
Notes Built against PostgreSQL 18.3 source installation

2.3 Redis 7.4.3

Field Value
Source https://github.com/redis/redis/archive/refs/tags/7.4.3.tar.gz
GitHub https://github.com/redis/redis
Version 7.4.3
Build method make -j$(sysctl -n hw.ncpu)
Binary path ~/redis/bin/redis-server
Port 6379
SHA256 87b6a9ea145c56c1ace724acbb9906b7be4abddd44041545adf44ce9f4d0a615
Start command redis-server --daemonize yes --port 6379
Build date 2026-05-06

2.4 Qdrant 1.17.1

Field Value
Source https://github.com/qdrant/qdrant.git
Version v1.17.1
Build method cargo build --release --bin qdrant
Binary path ~/momentry_core_0.1/services/qdrant/target/release/qdrant
Storage dir ~/qdrant_storage
Port 6333 (HTTP), 6334 (gRPC)
SHA256 8f8aa63840a0f948b43f9b95f784ace69595892de5dc581bb66bd62fd86d6c66
Build date 2026-05-06
Config ~/qdrant_config.yaml
Start command qdrant --config-path ~/qdrant_config.yaml &
Build deps protoc (Homebrew protobuf), cmake

2.5 MongoDB 8.2.7

Field Value
Source Homebrew mongodb/brew/mongodb-community
Version 8.2.7
Port 27017
Start command brew services start mongodb/brew/mongodb-community
Install date 2026-05-06

2.6 MariaDB 12.2.2

Field Value
Source Homebrew mariadb
Version 12.2.2-MariaDB
Port 3306
Start command brew services start mariadb
Install date 2026-05-06

2.7 PHP 8.5.5

Field Value
Source Homebrew php
Version 8.5.5
WordPress extensions mysqli, pdo_mysql, gd, xml, mbstring, curl, zip, json, intl, bcmath, gmp, openssl
Start command brew services start php
Install date 2026-05-06

2.8 FFmpeg / FFprobe 8.1.1

Field Value
Source Homebrew ffmpeg
Version 8.1.1
SHA256 00d01197255300c02122c783dd0126a9e7f47d6c6a19faafae2e6610efd071d3
Install date 2026-05-06

2.9 SFTPGo 2.7.1

Field Value
Source https://github.com/drakkan/sftpgo.git
Version v2.7.1
Build method git clone && go build -o sftpgo_bin ./
Binary path ~/momentry_core_0.1/services/sftpgo_bin
SHA256 550b6653f8f2cd7c58620e128e85be571a6702c79cf374824ad9b420ca039db1
Build date 2026-05-06
Patch Upgraded go-m1cpu from v0.2.0 → v0.2.1 to fix SIGTRAP crash on macOS 26.4.1
Notes Pre-built binary from GitHub releases crashed with go-m1cpu cgo compatibility issue. Source build with patched dependency resolved.

2.10 OpenCode 1.14.39

Field Value
Source https://opencode.ai/install
Version 1.14.39
Binary path ~/.opencode/bin/opencode
SHA256 def4a786c257bd6a965e46a2b069802496681b9eea20261d7d1b55629af3d1da
Install date 2026-05-06

2.11 Python 3.11 + Packages

Field Value
Source Homebrew python@3.11
Version 3.11.15
Path /opt/homebrew/bin/python3.11
Key packages coremltools, opencv-python, numpy, psycopg2, torch, transformers, whisperx, etc.
Requirements ~/momentry_core_0.1/requirements.txt
Install date 2026-05-06
FaceNet model models/facenet512.mlpackage (512D CoreML, loads OK)

2.12 Build Tools

Tool Version Source
Rust 1.95.0 rustup (pre-installed)
Go 1.26.2 Homebrew go
cmake 4.3.2 Homebrew cmake
pkg-config - Homebrew pkg-config

3. Momentry Configuration

3.1 Environment Files

File Purpose
.env Production config (port 3002)
.env.development Development config (port 3003)

Key settings:

  • DATABASE_URL=postgres://accusys@localhost:5432/momentry
  • REDIS_URL=redis://:accusys@localhost:6379
  • DATABASE_SCHEMA=dev
  • MOMENTRY_SERVER_PORT=3003 (dev) / 3002 (prod)
  • MOMENTRY_API_KEY=muser_test_apikey
  • MOMENTRY_PYTHON_PATH=/opt/homebrew/bin/python3.11
  • MOMENTRY_SCRIPTS_DIR=/Users/accusys/momentry_core_0.1/scripts

3.2 Database Tables Created

Table Created by
dev.videos Manual SQL
dev.chunks Manual SQL
dev.monitor_jobs Manual SQL
dev.processor_results Manual SQL
dev.talents Manual SQL
dev.identity_bindings Manual SQL
dev.api_keys Manual SQL

3.3 API Key

  • Key: muser_test_apikey
  • Hash (SHA256): 3f2fa16e44ff74267786fdf979b9c33dac0cad515282e4937a0776756a61e821
  • Status: active

4. Running Services (Verified)

Service Port Status
PostgreSQL 5432 ✅
Redis 6379 ✅
Qdrant 6333 ✅
MongoDB 27017 ✅
MariaDB 3306 ✅
Momentry Playground 3003 ✅
Gemma4 LLM 8081 ✅ (pre-installed)

5. PATH Configuration

.zshrc:

export PATH="/opt/homebrew/bin:/opt/homebrew/opt/postgresql@18/bin:$HOME/.opencode/bin:$PATH"

Also available:

  • $HOME/pgsql/18.3/bin — source-built PostgreSQL tools
  • $HOME/redis/bin — source-built Redis
  • $HOME/.cargo/bin — Rust/Cargo tools

6. M5 End-to-End Test Results (Charade Full Movie)

Run date: 2026-05-06 20:38-20:57

Stage Time Result
Swift_face (Vision ANE detection) 867s (14.5 min) 3999 frames (interval=30)
CoreML FaceNet (512D embedding) 271s (4.5 min) 6186 face embeddings
Face tracker (scene-cut aware) ~30s 1538 traces
DB store ~5s 6186 detections in dev.face_detections
Total ~19 min 1 long video (412k frames, 2.2GB)

Scene-cut effect: 1538 traces (vs 379 without scene-cut reset in M4 data). Scene boundaries correctly split traces.

Models used:

  • Face detection: Apple Vision (ANE) via swift_face
  • Face embedding: CoreML FaceNet 512D via facenet512.mlpackage
  • Text embedding: mxbai-embed-large (1024D) via Ollama

7. Known Issues

  1. Momentry API status degraded: Expected on fresh setup. Some cache/processing dependencies not fully initialized.
  2. SFTPGo startup requires config: Binary built from source, needs config file for production use.
  3. Migration scripts not all run: Base tables created manually. Some migration files (017+) reference tables/columns that need verification.
  4. OpenCode config: ~/.config/opencode/config.json not yet configured for M5 Gemma4 provider.
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