mirror of
https://github.com/exo-explore/exo.git
synced 2025-10-23 02:57:14 +03:00
307 lines
11 KiB
Python
307 lines
11 KiB
Python
import os
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import json
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import logging
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import asyncio
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import aiohttp
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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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class AsyncCircleCIClient:
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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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async def get_json(self, session: aiohttp.ClientSession, url: str, params: Dict = None) -> Dict:
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async with session.get(url, params=params) as response:
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response.raise_for_status()
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return await response.json()
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async def get_recent_pipelines(self, session: aiohttp.ClientSession, limit: int = 50) -> 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}
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data = await self.get_json(session, url, params)
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pipelines = [
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p for p in data["items"]
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if p["state"] == "created"
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and p.get("trigger_parameters", {}).get("git", {}).get("branch") == "main"
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][:limit]
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self.logger.info(f"Found {len(pipelines)} successful main branch pipelines")
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return pipelines
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async def get_workflow_jobs(self, session: aiohttp.ClientSession, 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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workflows_data = await self.get_json(session, url)
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workflows = workflows_data["items"]
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# Fetch all jobs for all workflows in parallel
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jobs_tasks = []
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for workflow in workflows:
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url = f"{self.base_url}/workflow/{workflow['id']}/job"
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jobs_tasks.append(self.get_json(session, url))
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jobs_responses = await asyncio.gather(*jobs_tasks, return_exceptions=True)
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all_jobs = []
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for jobs_data in jobs_responses:
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if isinstance(jobs_data, Exception):
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continue
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all_jobs.extend(jobs_data["items"])
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return all_jobs
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async def get_artifacts(self, session: aiohttp.ClientSession, job_number: str) -> List[Dict]:
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url = f"{self.base_url}/project/{self.project_slug}/{job_number}/artifacts"
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data = await self.get_json(session, url)
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return data["items"]
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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 = AsyncCircleCIClient(token, project_slug)
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self.logger = logging.getLogger("PackageSizeTracker")
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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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def extract_commit_info(self, pipeline: Dict) -> Optional[Dict]:
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try:
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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 {
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'commit_hash': github_app.get('checkout_sha'),
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'web_url': f"{github_app.get('repo_url')}/commit/{github_app.get('checkout_sha')}"
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}
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git_params = pipeline['trigger_parameters'].get('git', {})
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if git_params:
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return {
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'commit_hash': git_params.get('checkout_sha'),
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'web_url': f"{git_params.get('repo_url')}/commit/{git_params.get('checkout_sha')}"
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}
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self.logger.warning(f"Could not find commit info in pipeline {pipeline['id']}")
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return None
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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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async def process_pipeline(self, session: aiohttp.ClientSession, pipeline: Dict) -> Optional[Dict]:
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try:
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commit_info = self.extract_commit_info(pipeline)
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if not commit_info:
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return None
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jobs = await self.client.get_workflow_jobs(session, pipeline["id"])
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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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if not size_job:
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self.logger.debug(f"No measure_pip_sizes job found for pipeline {pipeline['id']}")
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return None
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artifacts = await self.client.get_artifacts(session, 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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if not size_report:
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self.logger.debug(f"No pip-sizes.json artifact found for job {size_job['job_number']}")
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return None
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json_data = await self.client.get_json(session, size_report["url"])
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data_point = {
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"commit_hash": commit_info['commit_hash'],
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"commit_url": commit_info['web_url'],
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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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self.logger.info(
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f"Processed pipeline {pipeline['id']}: "
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f"commit {commit_info['commit_hash'][:7]}, "
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f"size {json_data['total_size_mb']:.2f}MB"
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)
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return data_point
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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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return None
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async def collect_data(self) -> List[Dict]:
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self.logger.info("Starting data collection...")
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async with aiohttp.ClientSession(headers=self.client.headers) as session:
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# Get pipelines
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pipelines = await self.client.get_recent_pipelines(session, 50)
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# Process all pipelines in parallel
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tasks = [self.process_pipeline(session, pipeline) for pipeline in pipelines]
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results = await asyncio.gather(*tasks)
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# Filter out None results
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data_points = [r for r in results if r is not None]
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return data_points
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def generate_report(self, data: List[Dict], output_dir: str = "reports") -> Optional[str]:
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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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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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# commit_url is already in the data from process_pipeline
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# Create trend plot with updated styling
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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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markers=True,
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hover_data={'commit_hash': True, 'timestamp': True, 'total_size_mb': ':.2f'},
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custom_data=['commit_hash', 'commit_url']
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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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plot_bgcolor='white',
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paper_bgcolor='white',
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font=dict(size=12),
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title_x=0.5,
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)
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fig.update_traces(
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line=dict(width=2),
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marker=dict(size=8),
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hovertemplate="<br>".join([
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"Commit: %{customdata[0]}",
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"Size: %{y:.2f}MB",
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"Date: %{x}",
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"<extra>Click to view commit</extra>"
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])
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)
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# Add JavaScript for click handling
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fig.update_layout(
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clickmode='event',
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annotations=[
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dict(
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text="Click any point to view the commit on GitHub",
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xref="paper", yref="paper",
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x=0, y=1.05,
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showarrow=False
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)
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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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# Save plot
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plot_path = output_dir / "package_size_trend.html"
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fig.write_html(
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str(plot_path),
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include_plotlyjs=True,
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full_html=True,
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post_script="""
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const plot = document.getElementsByClassName('plotly-graph-div')[0];
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plot.on('plotly_click', function(data) {
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const point = data.points[0];
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const commitUrl = point.customdata[1];
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window.open(commitUrl, '_blank');
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});
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"""
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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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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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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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self._print_summary(latest_data)
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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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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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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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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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async def main():
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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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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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tracker = PackageSizeTracker(token, project_slug, debug)
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try:
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data = await 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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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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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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if __name__ == "__main__":
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asyncio.run(main())
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