- Scale docker-compose.yml (5 browser, 20 extractor replicas) - Add Prometheus and Grafana monitoring services - Implement persistent Redis TaskWorker in src/orchestrator/worker.py - Implement MetricsCollector in src/core/monitoring.py - Implement SessionRecoveryManager in src/core/recovery.py - Update README.md with production usage guide - Update root documentation (implementation_plan.md, walkthrough.md)
30 lines
1.2 KiB
Markdown
30 lines
1.2 KiB
Markdown
# Phase 4: Deployment & Optimization Implementation Plan (COMPLETED)
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## Goal Description
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Transition the system from a functional prototype to a scalable, production-ready extraction grid.
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## Completed Changes
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### Infrastructure
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- **Docker Compose**: Updated `docker-compose.yml`.
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- Scaled `camoufox-pool` to 5 replicas.
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- Scaled `curl-pool` to 20 replicas.
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- Added `prometheus` and `grafana` services.
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### Core Tier (Orchestration & Monitoring)
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- **MetricsCollector** (`src/core/monitoring.py`):
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- Implemented Prometheus metrics (Counter, Histogram, Gauge).
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- **TaskWorker** (`src/orchestrator/worker.py`):
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- Implemented persistent Redis consumer loop.
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- Integrated with `EntropyScheduler` and `SessionRecoveryManager`.
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- Dispatches `auth` and `extract` tasks.
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- **SessionRecoveryManager** (`src/core/recovery.py`):
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- Implemented logic for handling `cf_clearance_expired`, `rate_limit`, etc.
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### Documentation
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- **README.md**: Updated with Production Usage, Scaling, and Monitoring instructions.
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## Verification Status
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- **Infrastructure**: Services definitions validated.
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- **Logic**: Worker loop and recovery logic implemented.
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- **Readiness**: Configured for production deployment.
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