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+import os
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+import json
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+import logging
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+import requests
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+import pandas as pd
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+import plotly.express as px
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+from datetime import datetime
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+from typing import List, Dict, Optional
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+from pathlib import Path
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+
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+class CircleCIClient:
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+ def __init__(self, token: str, project_slug: str):
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+ self.token = token
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+ self.project_slug = project_slug
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+ self.base_url = "https://circleci.com/api/v2"
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+ self.headers = {
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+ "Circle-Token": token,
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+ "Accept": "application/json"
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+ }
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+ self.logger = logging.getLogger("CircleCI")
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+
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+ def get_recent_pipelines(self, limit: int = 25) -> List[Dict]:
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+ self.logger.info(f"Fetching {limit} recent pipelines...")
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+ url = f"{self.base_url}/project/{self.project_slug}/pipeline"
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+ params = {"limit": limit * 2} # Fetch extra to account for failed builds
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+
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+ response = requests.get(url, headers=self.headers, params=params)
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+ response.raise_for_status()
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+
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+ pipelines = [p for p in response.json()["items"] if p["state"] == "created"]
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+ pipelines = pipelines[:limit]
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+ self.logger.info(f"Found {len(pipelines)} successful pipelines")
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+
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+ # Fetch additional data for each pipeline
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+ detailed_pipelines = []
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+ for pipeline in pipelines:
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+ try:
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+ url = f"{self.base_url}/pipeline/{pipeline['id']}"
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+ response = requests.get(url, headers=self.headers)
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+ response.raise_for_status()
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+ detailed_pipelines.append(response.json())
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+ except Exception as e:
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+ self.logger.warning(f"Could not fetch details for pipeline {pipeline['id']}: {e}")
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+ continue
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+
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+ return detailed_pipelines
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+
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+ def get_workflow_jobs(self, pipeline_id: str) -> List[Dict]:
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+ self.logger.debug(f"Fetching workflows for pipeline {pipeline_id}")
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+ url = f"{self.base_url}/pipeline/{pipeline_id}/workflow"
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+ response = requests.get(url, headers=self.headers)
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+ response.raise_for_status()
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+ workflows = response.json()["items"]
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+
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+ jobs = []
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+ for workflow in workflows:
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+ self.logger.debug(f"Fetching jobs for workflow {workflow['id']}")
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+ url = f"{self.base_url}/workflow/{workflow['id']}/job"
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+ response = requests.get(url, headers=self.headers)
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+ response.raise_for_status()
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+ jobs.extend(response.json()["items"])
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+
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+ return jobs
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+
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+ def get_artifacts(self, job_number: str) -> List[Dict]:
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+ self.logger.debug(f"Fetching artifacts for job {job_number}")
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+ url = f"{self.base_url}/project/{self.project_slug}/{job_number}/artifacts"
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+ response = requests.get(url, headers=self.headers)
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+ response.raise_for_status()
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+ return response.json()["items"]
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+
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+ def download_artifact(self, artifact_url: str) -> Dict:
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+ self.logger.debug(f"Downloading artifact from {artifact_url}")
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+ response = requests.get(artifact_url, headers=self.headers)
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+ response.raise_for_status()
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+ return response.json()
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+
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+class PackageSizeTracker:
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+ def __init__(self, token: str, project_slug: str, debug: bool = False):
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+ self.setup_logging(debug)
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+ self.client = CircleCIClient(token, project_slug)
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+ self.logger = logging.getLogger("PackageSizeTracker")
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+
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+ def setup_logging(self, debug: bool):
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+ level = logging.DEBUG if debug else logging.INFO
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+ logging.basicConfig(
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+ level=level,
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+ format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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+ datefmt='%H:%M:%S'
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+ )
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+
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+ def extract_commit_info(self, pipeline: Dict) -> Optional[str]:
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+ """Extract commit hash from pipeline data structure"""
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+ try:
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+ # Try to get commit hash from trigger parameters
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+ if 'trigger_parameters' in pipeline:
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+ github_app = pipeline['trigger_parameters'].get('github_app', {})
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+ if github_app:
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+ return github_app.get('commit_sha')
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+
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+ # Fallback to git parameters if github_app is not available
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+ git_params = pipeline['trigger_parameters'].get('git', {})
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+ if git_params:
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+ return git_params.get('checkout_sha')
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+
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+ self.logger.warning(f"Could not find commit hash in pipeline {pipeline['id']}")
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+ return None
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+
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+ except Exception as e:
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+ self.logger.error(f"Error extracting commit info: {str(e)}")
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+ return None
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+
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+ def collect_data(self) -> List[Dict]:
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+ self.logger.info("Starting data collection...")
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+ pipelines = self.client.get_recent_pipelines(25)
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+
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+ data_points = []
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+ for pipeline in pipelines:
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+ try:
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+ self.logger.debug(f"Processing pipeline {pipeline['id']}")
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+
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+ # Extract commit hash
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+ commit_hash = self.extract_commit_info(pipeline)
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+ if not commit_hash:
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+ continue
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+
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+ jobs = self.client.get_workflow_jobs(pipeline["id"])
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+
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+ size_job = next(
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+ (j for j in jobs if j["name"] == "measure_pip_sizes" and j["status"] == "success"),
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+ None
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+ )
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+
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+ if size_job:
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+ artifacts = self.client.get_artifacts(size_job["job_number"])
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+ size_report = next(
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+ (a for a in artifacts if a["path"].endswith("pip-sizes.json")),
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+ None
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+ )
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+
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+ if size_report:
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+ json_data = self.client.download_artifact(size_report["url"])
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+ data_point = {
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+ "commit_hash": commit_hash,
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+ "timestamp": pipeline.get("created_at", pipeline.get("updated_at")),
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+ "total_size_mb": json_data["total_size_mb"],
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+ "packages": json_data["packages"]
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+ }
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+ data_points.append(data_point)
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+ self.logger.info(
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+ f"Processed pipeline {pipeline['id']}: "
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+ f"commit {commit_hash[:7]}, "
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+ f"size {json_data['total_size_mb']:.2f}MB"
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+ )
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+ else:
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+ self.logger.debug(f"No pip-sizes.json artifact found for job {size_job['job_number']}")
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+ else:
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+ self.logger.debug(f"No measure_pip_sizes job found for pipeline {pipeline['id']}")
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+ except Exception as e:
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+ self.logger.error(f"Error processing pipeline {pipeline['id']}: {str(e)}")
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+ continue
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+
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+ return data_points
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+
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+ def generate_report(self, data: List[Dict], output_dir: str = "reports"):
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+ self.logger.info("Generating report...")
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+ if not data:
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+ self.logger.error("No data to generate report from!")
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+ return None
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+
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+ df = pd.DataFrame(data)
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+ df['timestamp'] = pd.to_datetime(df['timestamp'])
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+ df = df.sort_values('timestamp')
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+
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+ # Create trend plot
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+ fig = px.line(
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+ df,
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+ x='timestamp',
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+ y='total_size_mb',
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+ title='Package Size Trend'
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+ )
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+ fig.update_layout(
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+ xaxis_title="Date",
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+ yaxis_title="Total Size (MB)",
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+ hovermode='x unified'
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+ )
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+
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+ # Ensure output directory exists
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+ output_dir = Path(output_dir)
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+ output_dir.mkdir(parents=True, exist_ok=True)
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+
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+ # Save plot
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+ plot_path = output_dir / "package_size_trend.html"
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+ fig.write_html(str(plot_path))
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+
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+ # Generate summary
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+ latest = df.iloc[-1]
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+ previous = df.iloc[-2] if len(df) > 1 else latest
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+ size_change = latest['total_size_mb'] - previous['total_size_mb']
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+
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+ # Save latest data
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+ latest_data = {
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+ 'timestamp': latest['timestamp'].isoformat(),
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+ 'commit_hash': latest['commit_hash'],
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+ 'total_size_mb': latest['total_size_mb'],
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+ 'size_change_mb': size_change,
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+ 'packages': latest['packages']
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+ }
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+
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+ with open(output_dir / 'latest_data.json', 'w') as f:
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+ json.dump(latest_data, f, indent=2)
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+
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+ # Print summary to console
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+ self._print_summary(latest_data)
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+
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+ self.logger.info(f"Report generated in {output_dir}")
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+ return str(plot_path)
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+
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+ def _print_summary(self, latest_data: Dict):
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+ print("\n=== Package Size Summary ===")
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+ print(f"Timestamp: {latest_data['timestamp']}")
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+ print(f"Commit: {latest_data['commit_hash'][:7]}")
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+ print(f"Total Size: {latest_data['total_size_mb']:.2f}MB")
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+
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+ change = latest_data['size_change_mb']
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+ change_symbol = "↓" if change <= 0 else "↑"
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+ print(f"Change: {change_symbol} {abs(change):.2f}MB")
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+
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+ print("\nTop 5 Largest Packages:")
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+ sorted_packages = sorted(latest_data['packages'], key=lambda x: x['size_mb'], reverse=True)
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+ for pkg in sorted_packages[:5]:
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+ print(f"- {pkg['name']}: {pkg['size_mb']:.2f}MB")
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+ print("\n")
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+
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+def main():
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+ # Get configuration
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+ token = os.getenv("CIRCLECI_TOKEN")
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+ project_slug = os.getenv("CIRCLECI_PROJECT_SLUG")
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+ debug = os.getenv("DEBUG", "").lower() in ("true", "1", "yes")
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+
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+ if not token or not project_slug:
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+ print("Error: Please set CIRCLECI_TOKEN and CIRCLECI_PROJECT_SLUG environment variables")
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+ return
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+
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+ # Initialize tracker
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+ tracker = PackageSizeTracker(token, project_slug, debug)
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+
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+ try:
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+ # Collect data
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+ data = tracker.collect_data()
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+ if not data:
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+ print("No data found!")
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+ return
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+
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+ # Generate report
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+ report_path = tracker.generate_report(data)
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+ if report_path:
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+ print(f"\nDetailed report available at: {report_path}")
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+
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+ except Exception as e:
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+ logging.error(f"Error: {str(e)}")
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+ if debug:
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+ raise
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+
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+if __name__ == "__main__":
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+ main()
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Alex Cheema