Build the refcurator shared Python package and 7 CLI scripts that were previously specification-only. Add Gemini CLI as an independent pre-distillation quality evaluator, replacing the circular Claude-self-review pattern. Key changes: - shared/lib/src/refcurator/: 7-module package (config, db, models, utils, manifest, gemini) with PyMySQL + JSON file dual backend - 7 Click CLI scripts: discover, crawl_mgr, repo, distiller, reviewer, exporter, pipeline — each with subcommands for data management - Gemini quality gate: evaluates raw content BEFORE distillation using 5 criteria (relevance, authority, completeness, freshness, distill_value) - Pipeline reordered: discovery → crawl → store → evaluate → distill → export - Bug fixes from Codex adversarial review: - FileBackend now hard-fails on JOIN/aggregate/GROUP BY queries - Exporter uses MAX(review_id) to prevent shipping stale approvals - Distiller updates existing rows on refactor instead of forking - Updated all 7 CLAUDE.md directives with real script references - install.sh updated with refcurator package install step 51/51 E2E tests passing. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
340 lines
13 KiB
Python
340 lines
13 KiB
Python
#!/usr/bin/env python3
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"""Pipeline Orchestrator CLI — manage pipeline runs and state.
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This script provides state management for the 6-stage pipeline.
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Claude orchestrates the actual stages via slash commands.
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Usage:
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python pipeline.py init --input "prompt engineering" --type topic [--options '{"max_sources": 10}']
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python pipeline.py advance --run-id 1 --stage crawling [--stats '{"pages_crawled": 45}']
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python pipeline.py pause --run-id 1 --error "Crawl timeout" --stage crawling
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python pipeline.py resume --run-id 1
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python pipeline.py complete --run-id 1 [--export-path ~/reference-library/exports/]
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python pipeline.py status [--run-id 1]
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python pipeline.py track-iteration --run-id 1 --doc-id 42 --action refactor
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"""
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import json
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import sys
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from datetime import datetime
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from pathlib import Path
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import click
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from rich.console import Console
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from rich.table import Table
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from refcurator.db import db_session
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from refcurator.config import get_pipeline_config
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console = Console()
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# QA loop limits
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MAX_REFACTOR = 3
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MAX_DEEP_RESEARCH = 2
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MAX_TOTAL = 5
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@click.group()
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def cli():
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"""Pipeline Orchestrator — manage pipeline run state."""
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pass
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@cli.command()
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@click.option("--input", "input_value", required=True, help="Topic, URL(s), or manifest path")
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@click.option("--type", "run_type", required=True,
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type=click.Choice(["topic", "urls", "manifest"]))
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@click.option("--options", type=str, help="Pipeline options as JSON string")
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def init(input_value, run_type, options):
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"""Initialize a new pipeline run."""
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opts = json.loads(options) if options else {}
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# Merge with config defaults
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try:
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cfg = get_pipeline_config()
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defaults = cfg.get("pipeline", {})
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for key in ("max_sources", "max_pages", "auto_approve", "approval_threshold"):
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if key not in opts and key in defaults:
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opts[key] = defaults[key]
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except FileNotFoundError:
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pass
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stats = {
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"sources_discovered": 0,
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"pages_crawled": 0,
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"documents_stored": 0,
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"documents_distilled": 0,
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"approved": 0,
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"refactored": 0,
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"deep_researched": 0,
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"rejected": 0,
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"needs_manual_review": 0,
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}
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# Determine starting stage
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start_stage = "discovery" if run_type == "topic" else "crawling"
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with db_session() as db:
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run_id = db.insert_returning_id(
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"""INSERT INTO pipeline_runs
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(run_type, input_value, status, current_stage, options, stats, started_at)
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VALUES (%s, %s, %s, %s, %s, %s, %s)""",
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(run_type, input_value, "running", start_stage,
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json.dumps(opts), json.dumps(stats), datetime.now().isoformat()),
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)
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console.print(f"[green]Pipeline initialized:[/green] run_id={run_id}")
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console.print(f" Type: {run_type}")
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console.print(f" Input: {input_value}")
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console.print(f" Starting stage: {start_stage}")
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click.echo(json.dumps({"run_id": run_id, "status": "running", "stage": start_stage}))
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@cli.command()
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@click.option("--run-id", required=True, type=int, help="Pipeline run ID")
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@click.option("--stage", required=True,
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type=click.Choice(["discovery", "crawling", "storing", "evaluating",
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"distilling", "exporting"]))
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@click.option("--stats", type=str, help="Stats update as JSON string (merged with existing)")
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def advance(run_id, stage, stats):
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"""Advance pipeline to the next stage."""
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stats_update = json.loads(stats) if stats else {}
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with db_session() as db:
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run = db.fetch_one(
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"SELECT * FROM pipeline_runs WHERE run_id = %s", (run_id,)
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)
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if not run:
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console.print(f"[red]Error:[/red] run_id={run_id} not found")
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sys.exit(1)
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if run["status"] != "running":
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console.print(f"[red]Error:[/red] Pipeline is {run['status']}, not running")
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sys.exit(1)
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# Merge stats
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current_stats = json.loads(run["stats"]) if isinstance(run["stats"], str) else (run["stats"] or {})
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current_stats.update(stats_update)
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db.execute(
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"""UPDATE pipeline_runs
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SET current_stage = %s, stats = %s
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WHERE run_id = %s""",
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(stage, json.dumps(current_stats), run_id),
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)
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stage_num = ["discovery", "crawling", "storing", "evaluating", "distilling", "exporting"].index(stage) + 1
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console.print(f"[green]Pipeline advanced:[/green] Stage {stage_num}/6 — {stage}")
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click.echo(json.dumps({"run_id": run_id, "stage": stage, "stats": current_stats}))
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@cli.command()
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@click.option("--run-id", required=True, type=int, help="Pipeline run ID")
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@click.option("--error", required=True, help="Error message")
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@click.option("--stage", required=True, help="Stage where error occurred")
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def pause(run_id, error, stage):
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"""Pause pipeline due to error."""
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with db_session() as db:
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db.execute(
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"""UPDATE pipeline_runs
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SET status = %s, error_message = %s, error_stage = %s
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WHERE run_id = %s""",
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("paused", error, stage, run_id),
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)
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console.print(f"[yellow]Pipeline paused:[/yellow] run_id={run_id} at {stage}")
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console.print(f" Error: {error}")
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console.print(f" Resume with: python pipeline.py resume --run-id {run_id}")
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@cli.command()
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@click.option("--run-id", required=True, type=int, help="Pipeline run ID to resume")
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def resume(run_id):
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"""Resume a paused pipeline."""
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with db_session() as db:
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run = db.fetch_one(
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"SELECT * FROM pipeline_runs WHERE run_id = %s", (run_id,)
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)
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if not run:
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console.print(f"[red]Error:[/red] run_id={run_id} not found")
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sys.exit(1)
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if run["status"] != "paused":
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console.print(f"[red]Error:[/red] Pipeline is {run['status']}, not paused")
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sys.exit(1)
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db.execute(
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"""UPDATE pipeline_runs
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SET status = %s, error_message = %s
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WHERE run_id = %s""",
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("running", None, run_id),
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)
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stage = run["current_stage"]
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console.print(f"[green]Pipeline resumed:[/green] run_id={run_id}, continuing from {stage}")
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click.echo(json.dumps({"run_id": run_id, "status": "running", "resume_stage": stage}))
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@cli.command()
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@click.option("--run-id", required=True, type=int, help="Pipeline run ID")
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@click.option("--export-path", type=click.Path(), help="Export output path")
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@click.option("--export-count", type=int, help="Number of documents exported")
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def complete(run_id, export_path, export_count):
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"""Mark pipeline as completed."""
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with db_session() as db:
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db.execute(
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"""UPDATE pipeline_runs
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SET status = %s, completed_at = %s, export_path = %s, export_document_count = %s
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WHERE run_id = %s""",
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("completed", datetime.now().isoformat(), export_path, export_count, run_id),
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)
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run = db.fetch_one("SELECT * FROM pipeline_runs WHERE run_id = %s", (run_id,))
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stats = json.loads(run["stats"]) if isinstance(run["stats"], str) else (run["stats"] or {})
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console.print(f"\n[bold green]Pipeline Complete![/bold green] run_id={run_id}")
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console.print(f" Sources: {stats.get('sources_discovered', 0)}")
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console.print(f" Crawled: {stats.get('pages_crawled', 0)}")
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console.print(f" Stored: {stats.get('documents_stored', 0)}")
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console.print(f" Approved: {stats.get('approved', 0)}")
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console.print(f" Rejected: {stats.get('rejected', 0)}")
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if export_path:
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console.print(f" Exports: {export_path}")
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click.echo(json.dumps({"run_id": run_id, "status": "completed", "stats": stats}, default=str))
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@cli.command()
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@click.option("--run-id", type=int, help="Show specific run (or latest if omitted)")
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@click.option("--all", "show_all", is_flag=True, help="Show all runs")
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def status(run_id, show_all):
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"""Show pipeline run status."""
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with db_session() as db:
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if run_id:
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rows = db.fetch_all(
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"SELECT * FROM pipeline_runs WHERE run_id = %s", (run_id,)
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)
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elif show_all:
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rows = db.fetch_all(
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"SELECT * FROM pipeline_runs ORDER BY started_at DESC LIMIT %s", (20,)
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)
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else:
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rows = db.fetch_all(
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"SELECT * FROM pipeline_runs ORDER BY started_at DESC LIMIT %s", (1,)
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)
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if not rows:
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console.print("[dim]No pipeline runs found.[/dim]")
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return
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for run in rows:
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stats = json.loads(run["stats"]) if isinstance(run["stats"], str) else (run["stats"] or {})
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status_color = {
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"running": "green", "completed": "blue",
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"failed": "red", "paused": "yellow",
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}.get(run["status"], "white")
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console.print(f"\n[bold]Pipeline Run #{run['run_id']}[/bold]")
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console.print(f" Status: [{status_color}]{run['status']}[/{status_color}]")
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console.print(f" Type: {run['run_type']}")
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console.print(f" Input: {run['input_value']}")
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console.print(f" Stage: {run['current_stage']}")
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console.print(f" Started: {run['started_at']}")
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if run.get("error_message"):
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console.print(f" [red]Error:[/red] {run['error_message']} (at {run.get('error_stage')})")
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if stats:
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table = Table(title="Pipeline Stats", show_header=False)
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table.add_column("Metric")
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table.add_column("Value", justify="right")
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for k, v in stats.items():
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if v:
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table.add_row(k.replace("_", " ").title(), str(v))
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console.print(table)
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@cli.command("track-iteration")
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@click.option("--run-id", required=True, type=int, help="Pipeline run ID")
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@click.option("--doc-id", required=True, type=int, help="Document ID")
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@click.option("--action", required=True, type=click.Choice(["refactor", "deep_research"]),
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help="QA loop action")
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def track_iteration(run_id, doc_id, action):
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"""Track QA loop iteration for a document.
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Returns the routing decision:
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- 're_distill': proceed with refactor
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- 're_crawl_and_distill': proceed with deep research
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- 'needs_manual_review': max iterations exceeded
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"""
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with db_session() as db:
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tracker = db.fetch_one(
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"""SELECT * FROM pipeline_iteration_tracker
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WHERE run_id = %s AND doc_id = %s""",
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(run_id, doc_id),
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)
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if tracker:
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refactor_count = tracker.get("refactor_count", 0)
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deep_research_count = tracker.get("deep_research_count", 0)
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else:
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refactor_count = 0
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deep_research_count = 0
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total = refactor_count + deep_research_count
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# Check limits
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if total >= MAX_TOTAL:
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result = "needs_manual_review"
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elif action == "refactor" and refactor_count >= MAX_REFACTOR:
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result = "needs_manual_review"
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elif action == "deep_research" and deep_research_count >= MAX_DEEP_RESEARCH:
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result = "needs_manual_review"
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elif action == "refactor":
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refactor_count += 1
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result = "re_distill"
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else:
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deep_research_count += 1
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result = "re_crawl_and_distill"
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# Upsert tracker
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if tracker:
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db.execute(
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"""UPDATE pipeline_iteration_tracker
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SET refactor_count = %s, deep_research_count = %s,
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final_decision = %s
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WHERE run_id = %s AND doc_id = %s""",
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(refactor_count, deep_research_count,
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"needs_manual_review" if result == "needs_manual_review" else None,
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run_id, doc_id),
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)
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else:
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db.insert_returning_id(
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"""INSERT INTO pipeline_iteration_tracker
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(run_id, doc_id, refactor_count, deep_research_count, final_decision)
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VALUES (%s, %s, %s, %s, %s)""",
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(run_id, doc_id, refactor_count, deep_research_count,
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"needs_manual_review" if result == "needs_manual_review" else None),
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)
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console.print(
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f"[{'yellow' if result == 'needs_manual_review' else 'green'}]"
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f"Iteration tracked:[/] doc_id={doc_id}, {action} "
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f"(refactor: {refactor_count}/{MAX_REFACTOR}, "
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f"research: {deep_research_count}/{MAX_DEEP_RESEARCH}) → {result}"
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)
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click.echo(json.dumps({
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"run_id": run_id,
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"doc_id": doc_id,
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"action": action,
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"result": result,
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"refactor_count": refactor_count,
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"deep_research_count": deep_research_count,
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"total_iterations": refactor_count + deep_research_count,
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}))
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if __name__ == "__main__":
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cli()
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