Fix JobDevTools contrast + log normalization, add Platform Spec
- Fix contrast issues in JobDevTools (level badges, text colors, timestamps) - Make log normalization more robust (handles old/new formats, edge cases) - Add ReviewIQ Platform Spec v1.2 defining: - Multi-tenant scraping-as-a-service architecture - Requester metadata, batches, webhooks, priority - Scraper versioning with A/B testing (stable/beta/canary) - API endpoints for job types, dashboard, admin - Output schemas for external service integration - Project structure reorganization plan Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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.artifacts/ReviewIQ-Platform-Spec.md
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.artifacts/ReviewIQ-Platform-Spec.md
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# ReviewIQ Scraping Platform - Specification
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> **Purpose**: Define WHAT the platform should do, not HOW. This document serves as the source of truth during implementation.
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---
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## 1. Vision
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Transform the current Google Reviews scraper into a **multi-tenant scraping-as-a-service platform** that:
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- Serves external clients via API (initially veritasreview.com)
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- Supports multiple scraping job types (reviews, business info, etc.)
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- Provides full observability into system performance and problems
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- Enables safe scraper iteration through versioning and A/B testing
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---
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## 2. Core Concepts
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### 2.1 Job Types
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The platform executes different types of scraping jobs:
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- `google_reviews` (current, primary)
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- Future: `yelp_reviews`, `tripadvisor_reviews`, `google_business_info`, etc.
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Each job type has its own:
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- Input parameters
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- Output schema
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- Scraper implementation(s)
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### 2.2 Requesters
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External systems that request scraping jobs:
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- Identified by `client_id` (e.g., "veritas_client_123")
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- Originate from a `source` (e.g., "veritasreview.com")
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- Have a `purpose` for scraping:
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- `client_report` - generating reports for their clients
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- `prospect_screening` - evaluating potential clients
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- `market_research` - competitive/market analysis
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### 2.3 Batches
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Jobs can be grouped into batches:
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- A batch is a collection of related jobs (e.g., "Q1 Prospect List")
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- Batches have their own completion callback
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- Dashboard shows batch progress and aggregate stats
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### 2.4 Scraper Versions
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Each job type can have multiple scraper versions:
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- **Variants**: `stable`, `beta`, `canary`
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- **Traffic routing**: A/B testing via percentage allocation
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- **Version pinning**: Clients can request specific versions
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- **Safe rollouts**: Promote canary → beta → stable
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### 2.5 Priority Levels
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Jobs have priority that affects execution order:
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- `0` = normal
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- `1` = high
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- `2` = urgent
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---
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## 3. Features
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### 3.1 API - Job Submission
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**Single job submission:**
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- Submit a scraping job for a specific job type
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- Include requester identification
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- Optionally specify priority, callback URL, scraper variant
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- Returns job ID immediately
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**Batch submission:**
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- Submit multiple URLs as a single batch
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- Batch has a name and optional batch-level callback
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- Individual jobs track their position in batch
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- Batch callback fires when all jobs complete
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### 3.2 API - Job Management
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- Get job status and results
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- Cancel pending/running jobs
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- Retry failed jobs
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- List jobs with filtering (by client, status, date, batch, job type)
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### 3.3 API - Webhooks
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When a job completes (success or failure):
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- POST to the provided `callback_url`
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- Include job ID, status, summary results, error info if failed
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- Track callback delivery status (pending, sent, failed)
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- Retry failed callbacks
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When a batch completes:
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- POST to batch-level callback
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- Include batch summary (total, succeeded, failed)
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### 3.4 Main Dashboard
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**System Overview:**
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- Total jobs (24h / 7d / 30d)
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- Success rate trend
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- Currently running jobs
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- Recent failures / problems requiring attention
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**By Client/Source:**
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- Jobs per client
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- Top consumers (volume)
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- Error rates by client
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- Purpose breakdown per client
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**By Job Type:**
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- Volume per job type
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- Success rate per type
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- Average duration per type
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**By Scraper Version:**
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- Performance comparison across versions
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- Success rate by version
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- Duration by version
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- Ability to identify when beta outperforms stable
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**Problems & Alerts:**
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- Recent failures with error types
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- Slow jobs (exceeding expected duration)
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- Callback delivery failures
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- Clients with elevated error rates
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### 3.5 Job Detail View (existing, enhanced)
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Current functionality preserved, plus:
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- Show requester info (client, source, purpose)
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- Show batch membership if applicable
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- Show scraper version that executed
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- Link to related jobs (same batch, same client)
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### 3.6 Analytics View
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Per-job analytics (existing) remains for Google Reviews:
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- Rating distribution
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- Sentiment analysis
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- Review topics
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- Timeline
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Future: type-specific analytics for other job types.
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---
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## 4. Data Model
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### 4.1 Jobs (enhanced)
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**Existing fields preserved.**
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**New requester fields:**
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- `requester_client_id` - which client requested this
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- `requester_source` - origin system (veritasreview.com)
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- `scrape_purpose` - why (client_report, prospect_screening, market_research)
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- `requester_metadata` - flexible JSON for additional context
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**New batch fields:**
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- `batch_id` - links to batch if part of one
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- `batch_index` - position in batch (1, 2, 3...)
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**New execution fields:**
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- `job_type` - type of scraping job (google_reviews, etc.)
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- `scraper_version` - exact version that executed (1.2.0)
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- `scraper_variant` - variant used (stable, beta, canary)
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- `priority` - execution priority (0, 1, 2)
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**New callback fields:**
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- `callback_url` - where to POST on completion
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- `callback_status` - pending, sent, failed
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- `callback_sent_at` - when callback was delivered
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- `callback_attempts` - retry count
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### 4.2 Batches (new)
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- `id` - unique identifier
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- `name` - human readable name
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- `requester_client_id` - client who submitted
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- `requester_source` - origin system
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- `scrape_purpose` - purpose for all jobs in batch
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- `total_jobs` - count of jobs in batch
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- `completed_jobs` - count finished (success or fail)
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- `failed_jobs` - count failed
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- `status` - pending, running, completed
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- `callback_url` - batch completion webhook
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- `callback_status` - pending, sent, failed
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- `created_at` - when batch was created
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- `completed_at` - when last job finished
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- `metadata` - flexible JSON
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### 4.3 Scraper Registry (new)
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- `id` - unique identifier
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- `job_type` - which job type this scraper handles
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- `version` - semantic version (1.2.0, 2.0.0-beta)
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- `variant` - stable, beta, canary
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- `module_path` - Python module path
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- `function_name` - entry function
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- `is_default` - use if no version specified
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- `traffic_pct` - percentage of traffic for A/B testing
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- `min_priority` - only use for jobs at or above this priority
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- `created_at` - when registered
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- `deprecated_at` - when marked deprecated (null if active)
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- `config` - version-specific configuration JSON
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### 4.4 Generic Result Summary
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Jobs have a `result_summary` JSON field for cross-type dashboard:
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```json
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{
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"item_count": 150,
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"primary_metric": 4.2,
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"primary_metric_label": "rating",
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"secondary_metrics": {
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"reviews_with_text": 120,
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"avg_review_length": 45
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}
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}
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```
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This enables the dashboard to show unified metrics across job types.
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---
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## 5. API Endpoints
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### 5.1 Scraping Endpoints
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```
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POST /api/scrape/google-reviews
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POST /api/scrape/yelp-reviews (future)
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POST /api/scrape/tripadvisor-reviews (future)
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```
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Each accepts type-specific parameters plus common fields:
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- `requester` object (client_id, source, purpose, metadata)
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- `priority` (0, 1, 2)
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- `callback_url`
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- `scraper_version` or `scraper_variant` (optional)
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### 5.2 Batch Endpoint
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```
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POST /api/scrape/google-reviews/batch
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```
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Accepts:
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- `name` - batch name
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- `urls` - array of URLs
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- `requester` object
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- `priority`
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- `callback_url` - called when entire batch completes
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### 5.3 Management Endpoints
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```
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GET /api/jobs - list with filters
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GET /api/jobs/{id} - job detail
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DELETE /api/jobs/{id} - cancel job
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POST /api/jobs/{id}/retry - retry failed job
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GET /api/batches - list batches
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GET /api/batches/{id} - batch detail with job list
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DELETE /api/batches/{id} - cancel all pending jobs in batch
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```
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### 5.4 Dashboard Endpoints
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```
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GET /api/dashboard/overview - system stats
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GET /api/dashboard/by-client - breakdown by client
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GET /api/dashboard/by-job-type - breakdown by job type
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GET /api/dashboard/by-version - scraper version comparison
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GET /api/dashboard/problems - recent failures, alerts
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```
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### 5.5 Admin Endpoints
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```
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GET /api/admin/scrapers - list registered scrapers
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POST /api/admin/scrapers - register new scraper version
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PUT /api/admin/scrapers/{id}/traffic - update traffic percentage
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POST /api/admin/scrapers/{id}/deprecate - mark deprecated
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POST /api/admin/scrapers/{id}/promote - promote to stable
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```
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---
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## 6. Output Schemas
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Each job type has a defined output schema. External services (like veritasreview.com) consume this data to generate insights.
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### 6.1 Google Reviews Output
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**Business Summary:**
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```json
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{
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"business": {
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"name": "Acme Restaurant",
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"place_id": "ChIJ...",
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"address": "123 Main St, City, State",
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"category": "Restaurant",
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"total_reviews": 1250,
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"rating": 4.3,
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"rating_distribution": {
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"5": 720,
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"4": 280,
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"3": 120,
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"2": 80,
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"1": 50
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},
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"scraped_at": "2025-01-24T10:30:00Z"
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}
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}
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```
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**Review Object:**
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```json
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{
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"review_id": "abc123",
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"author": {
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"name": "John D.",
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"profile_url": "https://...",
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"is_local_guide": true,
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"review_count": 42,
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"photo_count": 15
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},
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"rating": 4,
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"text": "Great food and service...",
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"language": "en",
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"published_at": "2025-01-15T14:30:00Z",
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"photos": [
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{ "url": "https://...", "caption": null }
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],
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"owner_response": {
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"text": "Thank you for your feedback...",
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"responded_at": "2025-01-16T09:00:00Z"
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},
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"metadata": {
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"source": "dom",
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"extracted_at": "2025-01-24T10:35:00Z"
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}
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}
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```
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**Key fields for insights service:**
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- `rating` + `text` → Sentiment analysis, rating correlation
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- `published_at` → Trend analysis, seasonality
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- `language` → Multi-language support
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- `owner_response` → Engagement metrics, response rate
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- `author.is_local_guide` → Review credibility weighting
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- `rating_distribution` → Rating spread analysis
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### 6.2 Future Job Types
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Other scrapers (Yelp, TripAdvisor, etc.) will have their own schemas but follow similar patterns:
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- Business summary with ratings
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- Individual review objects
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- Author metadata
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- Timestamps for trend analysis
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---
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## 7. Webhook Payloads
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### 6.1 Job Completion
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```json
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{
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"event": "job.completed",
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"job_id": "uuid",
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"job_type": "google_reviews",
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"status": "completed",
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"url": "https://google.com/maps/...",
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"result_summary": {
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"item_count": 150,
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"primary_metric": 4.2
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},
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"scraper_version": "1.2.0",
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"duration_seconds": 45.2,
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"completed_at": "2024-01-15T10:30:00Z"
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}
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```
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### 6.2 Job Failed
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```json
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{
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"event": "job.failed",
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"job_id": "uuid",
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"job_type": "google_reviews",
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"status": "failed",
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"url": "https://google.com/maps/...",
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"error": {
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"type": "rate_limited",
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"message": "Google rate limit detected"
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},
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"scraper_version": "1.2.0",
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"duration_seconds": 12.5,
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"failed_at": "2024-01-15T10:30:00Z"
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}
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```
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### 6.3 Batch Completion
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```json
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{
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"event": "batch.completed",
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"batch_id": "uuid",
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"name": "Q1 Prospects",
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"total_jobs": 50,
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"succeeded": 47,
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"failed": 3,
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"completed_at": "2024-01-15T10:30:00Z",
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"failed_job_ids": ["uuid1", "uuid2", "uuid3"]
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}
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```
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---
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## 8. UI Pages
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### 7.1 Main Dashboard (`/dashboard`)
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- System health at a glance
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- Key metrics with trends
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- Problem alerts
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- Quick links to drill down
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### 7.2 Clients View (`/dashboard/clients`)
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- Table of clients with job counts, success rates
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- Click to see client's jobs
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### 7.3 Scrapers View (`/dashboard/scrapers`)
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- Registered scraper versions
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- Performance comparison
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- Traffic allocation controls
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- Promote/deprecate actions
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### 7.4 Jobs View (`/jobs`) - enhanced
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- Add filters: client, job type, batch, scraper version
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- Show requester info in job cards
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### 7.5 Batches View (`/batches`)
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- List of batches with progress
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- Click to see batch detail and jobs
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||||
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||||
---
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||||
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||||
## 9. Project Structure
|
||||
|
||||
### 8.1 Backend Structure
|
||||
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||||
```
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||||
reviewiq/ # Root (renamed from google-reviews-scraper-pro)
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│
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├── api/
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│ ├── __init__.py
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│ ├── server.py # FastAPI app, startup, middleware
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│ ├── routes/
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│ │ ├── __init__.py
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│ │ ├── scrape.py # /api/scrape/* endpoints
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│ │ ├── jobs.py # /api/jobs/* endpoints
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│ │ ├── batches.py # /api/batches/* endpoints
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│ │ ├── dashboard.py # /api/dashboard/* endpoints
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│ │ └── admin.py # /api/admin/* endpoints
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│ └── middleware/
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│ ├── __init__.py
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||||
│ └── auth.py # API key authentication
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│
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├── scrapers/
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│ ├── __init__.py
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│ ├── registry.py # ScraperRegistry - version routing
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│ ├── base.py # BaseScraper interface
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||||
│ │
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│ ├── google_reviews/
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│ │ ├── __init__.py
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||||
│ │ ├── v1_0_0.py # Current stable (migrated from scraper_clean.py)
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│ │ └── parsers.py # Review parsing logic
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│ │
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│ └── yelp_reviews/ # Future
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│ ├── __init__.py
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||||
│ └── v1_0_0.py
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│
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├── core/
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│ ├── __init__.py
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||||
│ ├── database.py # Database manager
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||||
│ ├── models.py # Pydantic models (Job, Batch, etc.)
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│ ├── enums.py # JobStatus, JobType, Priority, etc.
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||||
│ └── config.py # Settings, environment variables
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||||
│
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||||
├── services/
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||||
│ ├── __init__.py
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||||
│ ├── job_service.py # Job creation, management
|
||||
│ ├── batch_service.py # Batch operations
|
||||
│ ├── webhook_service.py # Callback delivery
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||||
│ └── dashboard_service.py # Aggregate queries
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||||
│
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||||
├── workers/
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||||
│ ├── __init__.py
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||||
│ ├── chrome_pool.py # Browser pool management
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||||
│ ├── job_executor.py # Job execution orchestration
|
||||
│ └── webhook_worker.py # Async webhook delivery
|
||||
│
|
||||
├── utils/
|
||||
│ ├── __init__.py
|
||||
│ ├── logger.py # StructuredLogger
|
||||
│ ├── crash_analyzer.py # Crash detection
|
||||
│ └── health_checks.py # System health
|
||||
│
|
||||
├── tests/
|
||||
│ ├── __init__.py
|
||||
│ ├── conftest.py # Pytest fixtures
|
||||
│ ├── api/ # API route tests
|
||||
│ ├── scrapers/ # Scraper tests (mirrors scrapers/)
|
||||
│ │ └── google_reviews/
|
||||
│ │ └── test_v1_0_0.py
|
||||
│ ├── services/ # Service tests
|
||||
│ └── integration/ # End-to-end tests
|
||||
│
|
||||
├── migrations/ # Database migrations
|
||||
│ └── versions/
|
||||
│
|
||||
├── web/ # Next.js frontend (existing)
|
||||
│ └── ...
|
||||
│
|
||||
├── docker-compose.yml
|
||||
├── Dockerfile
|
||||
├── pyproject.toml # Python dependencies
|
||||
└── README.md
|
||||
```
|
||||
|
||||
### 8.2 Key Conventions
|
||||
|
||||
**Naming:**
|
||||
- Scraper versions use underscores: `v1_0_0.py` (valid Python module names)
|
||||
- Version strings use dots: `"1.0.0"` (semantic versioning in data)
|
||||
|
||||
**Imports:**
|
||||
```python
|
||||
from scrapers.google_reviews.v1_0_0 import GoogleReviewsScraper
|
||||
from scrapers.registry import ScraperRegistry
|
||||
from core.models import Job, Batch
|
||||
from services.job_service import JobService
|
||||
```
|
||||
|
||||
**Scraper Interface:**
|
||||
Each scraper version implements:
|
||||
```python
|
||||
class GoogleReviewsScraper(BaseScraper):
|
||||
VERSION = "1.0.0"
|
||||
JOB_TYPE = "google_reviews"
|
||||
|
||||
async def scrape(self, url: str, options: dict) -> ScraperResult:
|
||||
...
|
||||
|
||||
def validate_url(self, url: str) -> bool:
|
||||
...
|
||||
```
|
||||
|
||||
### 8.3 Frontend Structure (existing, minor additions)
|
||||
|
||||
```
|
||||
web/
|
||||
├── app/
|
||||
│ ├── dashboard/ # New main dashboard
|
||||
│ │ ├── page.tsx # Overview
|
||||
│ │ ├── clients/page.tsx
|
||||
│ │ ├── scrapers/page.tsx
|
||||
│ │ └── problems/page.tsx
|
||||
│ ├── batches/ # New
|
||||
│ │ ├── page.tsx
|
||||
│ │ └── [id]/page.tsx
|
||||
│ ├── jobs/ # Enhanced
|
||||
│ └── analytics/ # Existing
|
||||
├── components/
|
||||
│ ├── dashboard/ # Dashboard-specific components
|
||||
│ └── ...
|
||||
└── ...
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 10. Backwards Compatibility
|
||||
|
||||
### 9.1 Existing API
|
||||
`POST /api/scrape` continues to work as-is:
|
||||
- Defaults to `job_type: google_reviews`
|
||||
- No requester required (legacy mode)
|
||||
- No callback required
|
||||
- Routes to the same scraper logic
|
||||
|
||||
### 9.2 Existing Database
|
||||
- All new fields have defaults
|
||||
- Existing jobs have null requester fields
|
||||
- `job_type` defaults to `google_reviews`
|
||||
- Migration adds columns without breaking existing data
|
||||
|
||||
### 9.3 Scraper Migration
|
||||
- Current scraper code moves to `scrapers/google_reviews/v1_0_0.py`
|
||||
- Registered in scraper_registry as `stable` with 100% traffic
|
||||
- Old file `scraper_clean.py` deleted after migration
|
||||
- All imports updated to new paths
|
||||
|
||||
---
|
||||
|
||||
## 11. Additional Considerations
|
||||
|
||||
### 10.1 Authentication
|
||||
- External API clients authenticate via API keys
|
||||
- API keys stored in `api_keys` table with `client_id` reference
|
||||
- Keys can be scoped (read-only, submit jobs, admin)
|
||||
- Rate limits can be per-key
|
||||
|
||||
### 10.2 Error Handling
|
||||
- All API errors return consistent JSON structure:
|
||||
```json
|
||||
{
|
||||
"error": {
|
||||
"code": "VALIDATION_ERROR",
|
||||
"message": "URL is required",
|
||||
"details": { ... }
|
||||
}
|
||||
}
|
||||
```
|
||||
- Scraper errors captured with crash analysis
|
||||
- Failed webhooks retry with exponential backoff (max 5 attempts)
|
||||
|
||||
### 10.3 Logging
|
||||
- All components use StructuredLogger
|
||||
- Log levels: DEBUG, INFO, WARN, ERROR, FATAL
|
||||
- Categories: api, scraper, webhook, system
|
||||
- Logs include correlation IDs for tracing
|
||||
|
||||
### 10.4 Configuration
|
||||
- Environment-based configuration via `core/config.py`
|
||||
- Sensitive values from environment variables
|
||||
- Per-scraper config in scraper_registry.config JSON
|
||||
|
||||
### 10.5 Monitoring
|
||||
- Health check endpoint: `GET /health`
|
||||
- Prometheus metrics endpoint: `GET /metrics` (future)
|
||||
- Dashboard provides operational visibility
|
||||
|
||||
### 10.6 Data Retention
|
||||
- Define retention policy for completed jobs
|
||||
- Archive or delete old job data after N days
|
||||
- Keep aggregate stats for historical reporting
|
||||
|
||||
---
|
||||
|
||||
## 12. Implementation Phases
|
||||
|
||||
### Phase 0: Project Restructure
|
||||
- Reorganize files to new structure
|
||||
- Move `scraper_clean.py` → `scrapers/google_reviews/v1_0_0.py`
|
||||
- Update all imports
|
||||
- Verify everything still works
|
||||
|
||||
### Phase 1: Data Model
|
||||
- Add new fields to jobs table
|
||||
- Create batches table
|
||||
- Create scraper_registry table
|
||||
- Create api_keys table
|
||||
- Migration preserves existing data
|
||||
|
||||
### Phase 2: Requester & Batch Support
|
||||
- Update API to accept requester info
|
||||
- Implement batch submission endpoint
|
||||
- Store and display requester/batch info
|
||||
|
||||
### Phase 3: Webhooks
|
||||
- Implement callback delivery service
|
||||
- Retry logic for failed callbacks
|
||||
- Track delivery status
|
||||
|
||||
### Phase 4: Scraper Versioning
|
||||
- Implement scraper registry
|
||||
- Version routing logic
|
||||
- Admin endpoints for management
|
||||
|
||||
### Phase 5: Main Dashboard
|
||||
- Build dashboard pages
|
||||
- Aggregate queries
|
||||
- Real-time updates
|
||||
|
||||
### Phase 6: Traffic Management & A/B
|
||||
- A/B test traffic splitting
|
||||
- Promote/deprecate workflow
|
||||
- Performance comparison views
|
||||
|
||||
### Phase 7: Authentication
|
||||
- API key management
|
||||
- Client authentication middleware
|
||||
- Rate limiting (optional)
|
||||
|
||||
---
|
||||
|
||||
## 13. Success Metrics
|
||||
|
||||
- API response time < 200ms for job submission
|
||||
- Webhook delivery within 5 seconds of job completion
|
||||
- Dashboard loads in < 2 seconds
|
||||
- Support 100+ concurrent scraping jobs
|
||||
- 99% webhook delivery success rate
|
||||
- Clear visibility into scraper version performance
|
||||
|
||||
---
|
||||
|
||||
## 14. Open Questions
|
||||
|
||||
1. ~~**Authentication**: How do external clients authenticate? API keys per client?~~ → Resolved: API keys
|
||||
2. **Rate Limits**: Per-client rate limiting? (deferred to Phase 7)
|
||||
3. **Retention**: How long to keep completed job data? (needs decision)
|
||||
4. **Billing**: Track usage for billing purposes? (future consideration)
|
||||
5. **Project Rename**: Rename folder from `google-reviews-scraper-pro` to `reviewiq`?
|
||||
|
||||
---
|
||||
|
||||
## 15. Glossary
|
||||
|
||||
| Term | Definition |
|
||||
|------|------------|
|
||||
| Job | A single scraping task for one URL |
|
||||
| Batch | A collection of related jobs submitted together |
|
||||
| Job Type | Category of scraping (google_reviews, yelp_reviews, etc.) |
|
||||
| Requester | External client/system that requests jobs |
|
||||
| Scraper Version | Specific implementation of a scraper (v1.0.0, v2.0.0) |
|
||||
| Variant | Stability tier: stable, beta, canary |
|
||||
| Callback/Webhook | HTTP POST to notify client of job completion |
|
||||
|
||||
---
|
||||
|
||||
*Document Version: 1.2*
|
||||
*Last Updated: 2025-01-24*
|
||||
@@ -47,58 +47,85 @@ function extractBusinessName(job: JobStatus): string {
|
||||
}
|
||||
}
|
||||
|
||||
// Valid categories for structured logs
|
||||
const VALID_CATEGORIES: StructuredLog['category'][] = ['scraper', 'browser', 'network', 'system'];
|
||||
|
||||
// Valid log levels
|
||||
const VALID_LEVELS: StructuredLog['level'][] = ['DEBUG', 'INFO', 'WARN', 'ERROR', 'FATAL'];
|
||||
|
||||
/**
|
||||
* Check if a log entry is in the old format (has 'source' property)
|
||||
* or new structured format (has 'category' property)
|
||||
* Map source/category strings to valid category values
|
||||
*/
|
||||
function isOldLogFormat(log: OldLogEntry | StructuredLog): log is OldLogEntry {
|
||||
return 'source' in log && !('category' in log);
|
||||
function mapToCategory(source: string | undefined | null): StructuredLog['category'] {
|
||||
if (!source) return 'scraper';
|
||||
const lower = source.toLowerCase();
|
||||
if (lower === 'browser' || lower === 'navigation' || lower === 'page') return 'browser';
|
||||
if (lower === 'network' || lower === 'api') return 'network';
|
||||
if (lower === 'system' || lower === 'memory' || lower === 'chrome') return 'system';
|
||||
if (lower === 'scraper') return 'scraper';
|
||||
return 'scraper'; // Default to scraper for unknown sources
|
||||
}
|
||||
|
||||
/**
|
||||
* Convert old log format to new StructuredLog format
|
||||
* Map level strings to valid level values
|
||||
*/
|
||||
function convertOldToStructured(oldLog: OldLogEntry): StructuredLog {
|
||||
// Map old source to new category
|
||||
const categoryMap: Record<string, StructuredLog['category']> = {
|
||||
browser: 'browser',
|
||||
scraper: 'scraper',
|
||||
network: 'network',
|
||||
system: 'system',
|
||||
};
|
||||
function mapToLevel(level: string | undefined | null): StructuredLog['level'] {
|
||||
if (!level) return 'INFO';
|
||||
const upper = level.toUpperCase();
|
||||
if (upper === 'WARNING') return 'WARN';
|
||||
if (VALID_LEVELS.includes(upper as StructuredLog['level'])) {
|
||||
return upper as StructuredLog['level'];
|
||||
}
|
||||
return 'INFO';
|
||||
}
|
||||
|
||||
// Map old level to new level
|
||||
const levelMap: Record<string, StructuredLog['level']> = {
|
||||
DEBUG: 'DEBUG',
|
||||
INFO: 'INFO',
|
||||
WARNING: 'WARN',
|
||||
WARN: 'WARN',
|
||||
ERROR: 'ERROR',
|
||||
FATAL: 'FATAL',
|
||||
};
|
||||
/**
|
||||
* Normalize any log entry to StructuredLog format
|
||||
* Handles: new format, old format with 'source', logs without category, edge cases
|
||||
*/
|
||||
function normalizeLog(log: Record<string, unknown>): StructuredLog {
|
||||
// Get timestamp
|
||||
const timestamp = (log.timestamp as string) || new Date().toISOString();
|
||||
const timestampMs = (log.timestamp_ms as number) || new Date(timestamp).getTime() || Date.now();
|
||||
|
||||
const timestamp = oldLog.timestamp;
|
||||
const timestampMs = new Date(timestamp).getTime();
|
||||
// Get message
|
||||
const message = (log.message as string) || '';
|
||||
|
||||
// Determine category: prefer 'category' field, fall back to 'source' field
|
||||
let category: StructuredLog['category'];
|
||||
if (log.category && VALID_CATEGORIES.includes(log.category as StructuredLog['category'])) {
|
||||
category = log.category as StructuredLog['category'];
|
||||
} else {
|
||||
category = mapToCategory((log.category as string) || (log.source as string));
|
||||
}
|
||||
|
||||
// Determine level
|
||||
const level = mapToLevel(log.level as string);
|
||||
|
||||
return {
|
||||
timestamp,
|
||||
timestamp_ms: timestampMs || Date.now(),
|
||||
level: levelMap[oldLog.level?.toUpperCase()] || 'INFO',
|
||||
category: categoryMap[oldLog.source] || 'system',
|
||||
message: oldLog.message,
|
||||
timestamp_ms: timestampMs,
|
||||
level,
|
||||
category,
|
||||
message,
|
||||
metrics: log.metrics as Record<string, unknown> | undefined,
|
||||
network: log.network as Record<string, unknown> | undefined,
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Convert array of logs to structured format if needed
|
||||
* Convert array of logs to structured format
|
||||
* Robust handling of various log formats (old, new, malformed)
|
||||
*/
|
||||
function normalizeLogsTOStructured(logs: (OldLogEntry | StructuredLog)[]): StructuredLog[] {
|
||||
return logs.map((log) => {
|
||||
if (isOldLogFormat(log)) {
|
||||
return convertOldToStructured(log);
|
||||
}
|
||||
return log as StructuredLog;
|
||||
});
|
||||
function normalizeLogsTOStructured(logs: unknown[]): StructuredLog[] {
|
||||
if (!Array.isArray(logs)) return [];
|
||||
|
||||
return logs
|
||||
.filter((log): log is Record<string, unknown> => {
|
||||
// Filter out non-objects and nulls
|
||||
return log != null && typeof log === 'object' && !Array.isArray(log);
|
||||
})
|
||||
.map(normalizeLog);
|
||||
}
|
||||
|
||||
export default function JobDetailPage() {
|
||||
@@ -190,17 +217,7 @@ export default function JobDetailPage() {
|
||||
const data = JSON.parse(event.data);
|
||||
// Handle {"type": "log", "data": {...}} format
|
||||
const logData = data.data || data;
|
||||
|
||||
const newLog: StructuredLog = {
|
||||
timestamp: logData.timestamp || new Date().toISOString(),
|
||||
timestamp_ms: logData.timestamp_ms || Date.now(),
|
||||
level: logData.level || 'INFO',
|
||||
category: logData.category || 'system',
|
||||
message: logData.message || '',
|
||||
metrics: logData.metrics,
|
||||
network: logData.network,
|
||||
};
|
||||
|
||||
const newLog = normalizeLog(logData);
|
||||
setStructuredLogs((prev) => [...prev, newLog]);
|
||||
} catch (err) {
|
||||
console.error('Failed to parse log event:', err);
|
||||
@@ -347,15 +364,7 @@ export default function JobDetailPage() {
|
||||
// Check for type field to route to correct handler
|
||||
if (data.type === 'log') {
|
||||
const logData = data.data || data;
|
||||
const newLog: StructuredLog = {
|
||||
timestamp: logData.timestamp || new Date().toISOString(),
|
||||
timestamp_ms: logData.timestamp_ms || Date.now(),
|
||||
level: logData.level || 'INFO',
|
||||
category: logData.category || 'system',
|
||||
message: logData.message || '',
|
||||
metrics: logData.metrics,
|
||||
network: logData.network,
|
||||
};
|
||||
const newLog = normalizeLog(logData);
|
||||
setStructuredLogs((prev) => [...prev, newLog]);
|
||||
} else if (data.type === 'metrics') {
|
||||
const metricsPayload = data.data || data;
|
||||
|
||||
@@ -60,19 +60,19 @@ const TAB_CONFIG: { id: TabType; label: string; icon: typeof Bug; category?: Str
|
||||
];
|
||||
|
||||
const LEVEL_COLORS: Record<LogLevel, { bg: string; text: string; border: string }> = {
|
||||
DEBUG: { bg: 'bg-gray-700', text: 'text-gray-300', border: 'border-gray-600' },
|
||||
INFO: { bg: 'bg-blue-900', text: 'text-blue-300', border: 'border-blue-700' },
|
||||
WARN: { bg: 'bg-yellow-900', text: 'text-yellow-300', border: 'border-yellow-700' },
|
||||
ERROR: { bg: 'bg-red-900', text: 'text-red-300', border: 'border-red-700' },
|
||||
FATAL: { bg: 'bg-purple-900', text: 'text-purple-300', border: 'border-purple-700' },
|
||||
DEBUG: { bg: 'bg-gray-900', text: 'text-gray-200', border: 'border-gray-700' },
|
||||
INFO: { bg: 'bg-gray-900', text: 'text-gray-100', border: 'border-gray-700' },
|
||||
WARN: { bg: 'bg-gray-900', text: 'text-amber-200', border: 'border-gray-700' },
|
||||
ERROR: { bg: 'bg-gray-900', text: 'text-red-200', border: 'border-gray-700' },
|
||||
FATAL: { bg: 'bg-gray-900', text: 'text-fuchsia-200', border: 'border-gray-700' },
|
||||
};
|
||||
|
||||
const LEVEL_BADGE_COLORS: Record<LogLevel, string> = {
|
||||
DEBUG: 'bg-gray-600 text-gray-200',
|
||||
INFO: 'bg-blue-600 text-blue-100',
|
||||
WARN: 'bg-yellow-600 text-yellow-100',
|
||||
ERROR: 'bg-red-600 text-red-100',
|
||||
FATAL: 'bg-purple-600 text-purple-100',
|
||||
DEBUG: 'bg-gray-500 text-white',
|
||||
INFO: 'bg-blue-500 text-white',
|
||||
WARN: 'bg-amber-500 text-gray-900',
|
||||
ERROR: 'bg-red-500 text-white',
|
||||
FATAL: 'bg-fuchsia-500 text-white',
|
||||
};
|
||||
|
||||
export default function JobDevTools({
|
||||
@@ -263,11 +263,11 @@ export default function JobDevTools({
|
||||
{/* Log entries - scrollable area */}
|
||||
<div className="flex-1 overflow-y-auto min-h-[250px] max-h-[500px] font-mono text-sm">
|
||||
{filteredLogs.length === 0 ? (
|
||||
<div className="flex items-center justify-center h-full text-gray-500">
|
||||
<div className="flex items-center justify-center h-full text-gray-400">
|
||||
<div className="text-center">
|
||||
<Bug className="w-8 h-8 mx-auto mb-2 opacity-50" />
|
||||
<Bug className="w-8 h-8 mx-auto mb-2 opacity-60" />
|
||||
<p>No logs to display</p>
|
||||
<p className="text-xs mt-1">
|
||||
<p className="text-xs mt-1 text-gray-500">
|
||||
{logs.length > 0
|
||||
? 'Try adjusting your filters'
|
||||
: 'Logs will appear here during job execution'}
|
||||
@@ -281,23 +281,23 @@ export default function JobDevTools({
|
||||
return (
|
||||
<div
|
||||
key={`${log.timestamp_ms}-${index}`}
|
||||
className={`px-4 py-2 hover:bg-gray-800 transition-colors ${levelStyle.bg} bg-opacity-20`}
|
||||
className="px-4 py-2 hover:bg-gray-800 transition-colors"
|
||||
>
|
||||
<div className="flex items-start gap-3">
|
||||
{/* Timestamp */}
|
||||
<span className="text-gray-500 text-xs whitespace-nowrap pt-0.5">
|
||||
<span className="text-gray-400 text-xs whitespace-nowrap pt-0.5 font-mono">
|
||||
{formatTimestamp(log.timestamp)}
|
||||
</span>
|
||||
|
||||
{/* Level badge */}
|
||||
<span
|
||||
className={`px-1.5 py-0.5 text-xs font-semibold rounded ${LEVEL_BADGE_COLORS[log.level]} whitespace-nowrap`}
|
||||
className={`px-1.5 py-0.5 text-xs font-bold rounded ${LEVEL_BADGE_COLORS[log.level]} whitespace-nowrap`}
|
||||
>
|
||||
{log.level}
|
||||
</span>
|
||||
|
||||
{/* Category badge */}
|
||||
<span className="px-1.5 py-0.5 text-xs font-medium rounded bg-gray-700 text-gray-300 whitespace-nowrap">
|
||||
<span className="px-1.5 py-0.5 text-xs font-medium rounded bg-gray-600 text-gray-100 whitespace-nowrap">
|
||||
{log.category}
|
||||
</span>
|
||||
|
||||
@@ -309,14 +309,14 @@ export default function JobDevTools({
|
||||
|
||||
{/* Additional data (metrics/network) */}
|
||||
{(log.metrics || log.network) && (
|
||||
<div className="mt-1 ml-[72px] text-xs text-gray-500">
|
||||
<div className="mt-1 ml-[88px] text-xs text-gray-300 font-mono">
|
||||
{log.metrics && (
|
||||
<span className="mr-4">
|
||||
metrics: {JSON.stringify(log.metrics)}
|
||||
<span className="text-gray-500">metrics:</span> {JSON.stringify(log.metrics)}
|
||||
</span>
|
||||
)}
|
||||
{log.network && (
|
||||
<span>network: {JSON.stringify(log.network)}</span>
|
||||
<span><span className="text-gray-500">network:</span> {JSON.stringify(log.network)}</span>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
@@ -329,30 +329,30 @@ export default function JobDevTools({
|
||||
|
||||
{/* Reserved space for metrics/session panels (footer) */}
|
||||
<div className="border-t border-gray-700 bg-gray-800 px-4 py-3 rounded-b-xl">
|
||||
<div className="flex items-center justify-between text-xs text-gray-400">
|
||||
<div className="flex items-center justify-between text-xs text-gray-300">
|
||||
<div className="flex items-center gap-4">
|
||||
{metrics && (
|
||||
<>
|
||||
{metrics.duration_ms !== undefined && (
|
||||
<span>Duration: {(metrics.duration_ms / 1000).toFixed(2)}s</span>
|
||||
<span><span className="text-gray-500">Duration:</span> {(metrics.duration_ms / 1000).toFixed(2)}s</span>
|
||||
)}
|
||||
{metrics.reviews_scraped !== undefined && (
|
||||
<span>Reviews: {metrics.reviews_scraped}</span>
|
||||
<span><span className="text-gray-500">Reviews:</span> {metrics.reviews_scraped}</span>
|
||||
)}
|
||||
{metrics.memory_mb !== undefined && (
|
||||
<span>Memory: {metrics.memory_mb.toFixed(1)}MB</span>
|
||||
<span><span className="text-gray-500">Memory:</span> {metrics.memory_mb.toFixed(1)}MB</span>
|
||||
)}
|
||||
</>
|
||||
)}
|
||||
</div>
|
||||
<div className="flex items-center gap-4">
|
||||
{sessionFingerprint && (
|
||||
<span className="text-gray-500">
|
||||
<span className="text-gray-400">
|
||||
Session: {sessionFingerprint.session_id?.slice(0, 8)}...
|
||||
</span>
|
||||
)}
|
||||
{crashReport && (
|
||||
<span className="text-red-400 font-medium">
|
||||
<span className="text-red-300 font-medium">
|
||||
Crash: {crashReport.error_type}
|
||||
</span>
|
||||
)}
|
||||
|
||||
Reference in New Issue
Block a user